diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile new file mode 100644 index 00000000..1fa5455d --- /dev/null +++ b/.devcontainer/Dockerfile @@ -0,0 +1,15 @@ +FROM python:3.12-bookworm + +# Install Node.js 20.x +RUN curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \ + && apt-get install -y nodejs \ + && rm -rf /var/lib/apt/lists/* + +# Install global npm packages +RUN npm install -g husky vite + +# Create and activate Python virtual environment +RUN python -m venv /opt/venv +ENV PATH="/opt/venv/bin:$PATH" + +WORKDIR /workspace \ No newline at end of file diff --git a/.devcontainer/devc-welcome.md b/.devcontainer/devc-welcome.md new file mode 100644 index 00000000..a119c590 --- /dev/null +++ b/.devcontainer/devc-welcome.md @@ -0,0 +1,49 @@ +# Welcome to DocsGPT Devcontainer + +Welcome to the DocsGPT development environment! This guide will help you get started quickly. + +## Starting Services + +To run DocsGPT, you need to start three main services: Flask (backend), Celery (task queue), and Vite (frontend). Here are the commands to start each service within the devcontainer: + +### Vite (Frontend) + +```bash +cd frontend +npm run dev -- --host +``` + +### Flask (Backend) + +```bash +flask --app application/app.py run --host=0.0.0.0 --port=7091 +``` + +### Celery (Task Queue) + +```bash +celery -A application.app.celery worker -l INFO +``` + +## Github Codespaces Instructions + +### 1. Make Ports Public: + +Go to the "Ports" panel in Codespaces (usually located at the bottom of the VS Code window). + +For both port 5173 and 7091, right-click on the port and select "Make Public". + +![CleanShot 2025-02-12 at 09 46 14@2x](https://github.com/user-attachments/assets/00a34b16-a7ef-47af-9648-87a7e3008475) + + + ### 2. Update VITE_API_HOST: + +After making port 7091 public, copy the public URL provided by Codespaces for port 7091. + +Open the file frontend/.env.development. + +Find the line VITE_API_HOST=http://localhost:7091. + +Replace http://localhost:7091 with the public URL you copied from Codespaces. + +![CleanShot 2025-02-12 at 09 46 56@2x](https://github.com/user-attachments/assets/c472242f-1079-4cd8-bc0b-2d78db22b94c) diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 00000000..16188e32 --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,24 @@ +{ + "name": "DocsGPT Dev Container", + "dockerComposeFile": ["docker-compose-dev.yaml", "docker-compose.override.yaml"], + "service": "dev", + "workspaceFolder": "/workspace", + "postCreateCommand": ".devcontainer/post-create-command.sh", + "forwardPorts": [7091, 5173, 6379, 27017], + "customizations": { + "vscode": { + "extensions": [ + "ms-python.python", + "ms-toolsai.jupyter", + "esbenp.prettier-vscode", + "dbaeumer.vscode-eslint" + ] + }, + "codespaces": { + "openFiles": [ + ".devcontainer/devc-welcome.md", + "CONTRIBUTING.md" + ] + } + } + } \ No newline at end of file diff --git a/.devcontainer/docker-compose-dev.yaml b/.devcontainer/docker-compose-dev.yaml new file mode 100644 index 00000000..8a3e75c4 --- /dev/null +++ b/.devcontainer/docker-compose-dev.yaml @@ -0,0 +1,18 @@ +services: + + redis: + image: redis:6-alpine + ports: + - 6379:6379 + + mongo: + image: mongo:6 + ports: + - 27017:27017 + volumes: + - mongodb_data_container:/data/db + + + +volumes: + mongodb_data_container: \ No newline at end of file diff --git a/.devcontainer/docker-compose.override.yaml b/.devcontainer/docker-compose.override.yaml new file mode 100644 index 00000000..979bf48f --- /dev/null +++ b/.devcontainer/docker-compose.override.yaml @@ -0,0 +1,40 @@ +version: '3.8' + +services: + dev: + build: + context: . + dockerfile: Dockerfile + volumes: + - ../:/workspace:cached + command: sleep infinity + depends_on: + redis: + condition: service_healthy + mongo: + condition: service_healthy + environment: + - CELERY_BROKER_URL=redis://redis:6379/0 + - CELERY_RESULT_BACKEND=redis://redis:6379/1 + - MONGO_URI=mongodb://mongo:27017/docsgpt + - CACHE_REDIS_URL=redis://redis:6379/2 + networks: + - default + + redis: + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 5s + timeout: 30s + retries: 5 + + mongo: + healthcheck: + test: ["CMD", "mongosh", "--eval", "db.adminCommand('ping')"] + interval: 5s + timeout: 30s + retries: 5 + +networks: + default: + name: docsgpt-dev-network \ No newline at end of file diff --git a/.devcontainer/post-create-command.sh b/.devcontainer/post-create-command.sh new file mode 100755 index 00000000..597b985e --- /dev/null +++ b/.devcontainer/post-create-command.sh @@ -0,0 +1,32 @@ +#!/bin/bash + +set -e # Exit immediately if a command exits with a non-zero status + +if [ ! -f frontend/.env.development ]; then + cp -n .env-template frontend/.env.development || true # Assuming .env-template is in the root +fi + +# Determine VITE_API_HOST based on environment +if [ -n "$CODESPACES" ]; then + # Running in Codespaces + CODESPACE_NAME=$(echo "$CODESPACES" | cut -d'-' -f1) # Extract codespace name + PUBLIC_API_HOST="https://${CODESPACE_NAME}-7091.${GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN}" + echo "Setting VITE_API_HOST for Codespaces: $PUBLIC_API_HOST in frontend/.env.development" + sed -i "s|VITE_API_HOST=.*|VITE_API_HOST=$PUBLIC_API_HOST|" frontend/.env.development +else + # Not running in Codespaces (local devcontainer) + DEFAULT_API_HOST="http://localhost:7091" + echo "Setting VITE_API_HOST for local dev: $DEFAULT_API_HOST in frontend/.env.development" + sed -i "s|VITE_API_HOST=.*|VITE_API_HOST=$DEFAULT_API_HOST|" frontend/.env.development +fi + + +mkdir -p model +if [ ! -d model/all-mpnet-base-v2 ]; then + wget -q https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip -O model/mpnet-base-v2.zip + unzip -q model/mpnet-base-v2.zip -d model + rm model/mpnet-base-v2.zip +fi +pip install -r application/requirements.txt +cd frontend +npm install --include=dev \ No newline at end of file diff --git a/.env-template b/.env-template new file mode 100644 index 00000000..e93f0363 --- /dev/null +++ b/.env-template @@ -0,0 +1,9 @@ +API_KEY= +LLM_NAME=docsgpt +VITE_API_STREAMING=true + +#For Azure (you can delete it if you don't use Azure) +OPENAI_API_BASE= +OPENAI_API_VERSION= +AZURE_DEPLOYMENT_NAME= +AZURE_EMBEDDINGS_DEPLOYMENT_NAME= \ No newline at end of file diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml new file mode 100644 index 00000000..d01386f2 --- /dev/null +++ b/.github/FUNDING.yml @@ -0,0 +1,3 @@ +# These are supported funding model platforms + +github: arc53 diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml new file mode 100644 index 00000000..ec0a9f26 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -0,0 +1,138 @@ +name: "🐛 Bug Report" +description: "Submit a bug report to help us improve" +title: "🐛 Bug Report: " +labels: ["type: bug"] +body: + - type: markdown + attributes: + value: We value your time and your efforts to submit this bug report is appreciated. 🙏 + + - type: textarea + id: description + validations: + required: true + attributes: + label: "📜 Description" + description: "A clear and concise description of what the bug is." + placeholder: "It bugs out when ..." + + - type: textarea + id: steps-to-reproduce + validations: + required: true + attributes: + label: "👟 Reproduction steps" + description: "How do you trigger this bug? Please walk us through it step by step." + placeholder: "1. Go to '...' + 2. Click on '....' + 3. Scroll down to '....' + 4. See error" + + - type: textarea + id: expected-behavior + validations: + required: true + attributes: + label: "👍 Expected behavior" + description: "What did you think should happen?" + placeholder: "It should ..." + + - type: textarea + id: actual-behavior + validations: + required: true + attributes: + label: "👎 Actual Behavior with Screenshots" + description: "What did actually happen? Add screenshots, if applicable." + placeholder: "It actually ..." + + - type: dropdown + id: operating-system + attributes: + label: "💻 Operating system" + description: "What OS is your app running on?" + options: + - Linux + - MacOS + - Windows + - Something else + validations: + required: true + + - type: dropdown + id: browsers + attributes: + label: What browsers are you seeing the problem on? + multiple: true + options: + - Firefox + - Chrome + - Safari + - Microsoft Edge + - Something else + + - type: dropdown + id: dev-environment + validations: + required: true + attributes: + label: "🤖 What development environment are you experiencing this bug on?" + options: + - Docker + - Local dev server + + - type: textarea + id: env-vars + validations: + required: false + attributes: + label: "🔒 Did you set the correct environment variables in the right path? List the environment variable names (not values please!)" + description: "Please refer to the [Project setup instructions](https://github.com/arc53/DocsGPT#quickstart) if you are unsure." + placeholder: "It actually ..." + + - type: textarea + id: additional-context + validations: + required: false + attributes: + label: "📃 Provide any additional context for the Bug." + description: "Add any other context about the problem here." + placeholder: "It actually ..." + + - type: textarea + id: logs + validations: + required: false + attributes: + label: 📖 Relevant log output + description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks. + render: shell + + - type: checkboxes + id: no-duplicate-issues + attributes: + label: "👀 Have you spent some time to check if this bug has been raised before?" + options: + - label: "I checked and didn't find similar issue" + required: true + + - type: dropdown + id: willing-to-submit-pr + attributes: + label: 🔗 Are you willing to submit PR? + description: This is absolutely not required, but we are happy to guide you in the contribution process. + options: # Added options key + - "Yes, I am willing to submit a PR!" + - "No" + validations: + required: false + + + - type: checkboxes + id: terms + attributes: + label: 🧑‍⚖️ Code of Conduct + description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/arc53/DocsGPT/blob/main/CODE_OF_CONDUCT.md) + options: + - label: I agree to follow this project's Code of Conduct + required: true diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml new file mode 100644 index 00000000..34323234 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.yml @@ -0,0 +1,54 @@ +name: 🚀 Feature +description: "Submit a proposal for a new feature" +title: "🚀 Feature: " +labels: [feature] +body: + - type: markdown + attributes: + value: We value your time and your efforts to submit this bug report is appreciated. 🙏 + - type: textarea + id: feature-description + validations: + required: true + attributes: + label: "🔖 Feature description" + description: "A clear and concise description of what the feature is." + placeholder: "You should add ..." + - type: textarea + id: pitch + validations: + required: true + attributes: + label: "🎤 Why is this feature needed ?" + description: "Please explain why this feature should be implemented and how it would be used. Add examples, if applicable." + placeholder: "In my use-case, ..." + - type: textarea + id: solution + validations: + required: true + attributes: + label: "✌️ How do you aim to achieve this?" + description: "A clear and concise description of what you want to happen." + placeholder: "I want this feature to, ..." + - type: textarea + id: alternative + validations: + required: false + attributes: + label: "🔄️ Additional Information" + description: "A clear and concise description of any alternative solutions or additional solutions you've considered." + placeholder: "I tried, ..." + - type: checkboxes + id: no-duplicate-issues + attributes: + label: "👀 Have you spent some time to check if this feature request has been raised before?" + options: + - label: "I checked and didn't find similar issue" + required: true + - type: dropdown + id: willing-to-submit-pr + attributes: + label: Are you willing to submit PR? + description: This is absolutely not required, but we are happy to guide you in the contribution process. + options: + - "Yes I am willing to submit a PR!" diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 00000000..925606ba --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,5 @@ +- **What kind of change does this PR introduce?** (Bug fix, feature, docs update, ...) + +- **Why was this change needed?** (You can also link to an open issue here) + +- **Other information**: \ No newline at end of file diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..a41a1f3e --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,19 @@ +# To get started with Dependabot version updates, you'll need to specify which +# package ecosystems to update and where the package manifests are located. +# Please see the documentation for all configuration options: +# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file + +version: 2 +updates: + - package-ecosystem: "pip" # See documentation for possible values + directory: "/application" # Location of package manifests + schedule: + interval: "daily" + - package-ecosystem: "npm" # See documentation for possible values + directory: "/frontend" # Location of package manifests + schedule: + interval: "daily" + - package-ecosystem: "github-actions" + directory: "/" + schedule: + interval: "daily" diff --git a/.github/holopin.yml b/.github/holopin.yml new file mode 100644 index 00000000..cc313f22 --- /dev/null +++ b/.github/holopin.yml @@ -0,0 +1,11 @@ +organization: docsgpt +defaultSticker: cm1ulwkkl180570cl82rtzympu +stickers: + - id: cm1ulwkkl180570cl82rtzympu + alias: contributor2024 + - id: cm1ureg8o130450cl8c1po6mil + alias: api + - id: cm1urhmag148240cl8yvqxkthx + alias: lpc + - id: cm1urlcpq622090cl2tvu4w71y + alias: lexeu diff --git a/.github/labeler.yml b/.github/labeler.yml new file mode 100644 index 00000000..057772a5 --- /dev/null +++ b/.github/labeler.yml @@ -0,0 +1,31 @@ +repo: +- changed-files: + - any-glob-to-any-file: '*' + +github: +- changed-files: + - any-glob-to-any-file: '.github/**/*' + +application: +- changed-files: + - any-glob-to-any-file: 'application/**/*' + +docs: +- changed-files: + - any-glob-to-any-file: 'docs/**/*' + +extensions: +- changed-files: + - any-glob-to-any-file: 'extensions/**/*' + +frontend: +- changed-files: + - any-glob-to-any-file: 'frontend/**/*' + +scripts: +- changed-files: + - any-glob-to-any-file: 'scripts/**/*' + +tests: +- changed-files: + - any-glob-to-any-file: 'tests/**/*' diff --git a/.github/workflows/bandit.yaml b/.github/workflows/bandit.yaml new file mode 100644 index 00000000..db5f3fc8 --- /dev/null +++ b/.github/workflows/bandit.yaml @@ -0,0 +1,40 @@ +name: Bandit Security Scan + +on: + push: + branches: + - main + pull_request: + types: [opened, synchronize, reopened] + +jobs: + bandit_scan: + if: ${{ github.repository == 'arc53/DocsGPT' }} + runs-on: ubuntu-latest + permissions: + security-events: write + actions: read + contents: read + + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: '3.12' + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install bandit # Bandit is needed for this action + if [ -f application/requirements.txt ]; then pip install -r application/requirements.txt; fi + + - name: Run Bandit scan + uses: PyCQA/bandit-action@v1 + with: + severity: medium + confidence: medium + targets: application/ + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} \ No newline at end of file diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 00000000..67ebe0dc --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,112 @@ +name: Build and push DocsGPT Docker image + +on: + release: + types: [published] + +jobs: + build: + if: github.repository == 'arc53/DocsGPT' + strategy: + matrix: + include: + - platform: linux/amd64 + runner: ubuntu-latest + suffix: amd64 + - platform: linux/arm64 + runner: ubuntu-24.04-arm + suffix: arm64 + runs-on: ${{ matrix.runner }} + permissions: + contents: read + packages: write + steps: + - uses: actions/checkout@v4 + + - name: Set up QEMU # Only needed for emulation, not for native arm64 builds + if: matrix.platform == 'linux/arm64' + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push platform-specific images + uses: docker/build-push-action@v6 + with: + file: './application/Dockerfile' + platforms: ${{ matrix.platform }} + context: ./application + push: true + tags: | + ${{ secrets.DOCKER_USERNAME }}/docsgpt:${{ github.event.release.tag_name }}-${{ matrix.suffix }} + ghcr.io/${{ github.repository_owner }}/docsgpt:${{ github.event.release.tag_name }}-${{ matrix.suffix }} + provenance: false + sbom: false + cache-from: type=registry,ref=${{ secrets.DOCKER_USERNAME }}/docsgpt:latest + cache-to: type=inline + + manifest: + if: github.repository == 'arc53/DocsGPT' + needs: build + runs-on: ubuntu-latest + permissions: + packages: write + steps: + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Create and push manifest for DockerHub + run: | + set -e + docker manifest create ${{ secrets.DOCKER_USERNAME }}/docsgpt:${{ github.event.release.tag_name }} \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt:${{ github.event.release.tag_name }}-amd64 \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt:${{ github.event.release.tag_name }}-arm64 + docker manifest push ${{ secrets.DOCKER_USERNAME }}/docsgpt:${{ github.event.release.tag_name }} + docker manifest create ${{ secrets.DOCKER_USERNAME }}/docsgpt:latest \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt:${{ github.event.release.tag_name }}-amd64 \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt:${{ github.event.release.tag_name }}-arm64 + docker manifest push ${{ secrets.DOCKER_USERNAME }}/docsgpt:latest + + - name: Create and push manifest for ghcr.io + run: | + set -e + docker manifest create ghcr.io/${{ github.repository_owner }}/docsgpt:${{ github.event.release.tag_name }} \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt:${{ github.event.release.tag_name }}-amd64 \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt:${{ github.event.release.tag_name }}-arm64 + docker manifest push ghcr.io/${{ github.repository_owner }}/docsgpt:${{ github.event.release.tag_name }} + docker manifest create ghcr.io/${{ github.repository_owner }}/docsgpt:latest \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt:${{ github.event.release.tag_name }}-amd64 \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt:${{ github.event.release.tag_name }}-arm64 + docker manifest push ghcr.io/${{ github.repository_owner }}/docsgpt:latest \ No newline at end of file diff --git a/.github/workflows/cife.yml b/.github/workflows/cife.yml new file mode 100644 index 00000000..1118723f --- /dev/null +++ b/.github/workflows/cife.yml @@ -0,0 +1,112 @@ +name: Build and push DocsGPT-FE Docker image + +on: + release: + types: [published] + +jobs: + build: + if: github.repository == 'arc53/DocsGPT' + strategy: + matrix: + include: + - platform: linux/amd64 + runner: ubuntu-latest + suffix: amd64 + - platform: linux/arm64 + runner: ubuntu-24.04-arm + suffix: arm64 + runs-on: ${{ matrix.runner }} + permissions: + contents: read + packages: write + steps: + - uses: actions/checkout@v4 + + - name: Set up QEMU # Only needed for emulation, not for native arm64 builds + if: matrix.platform == 'linux/arm64' + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push platform-specific images + uses: docker/build-push-action@v6 + with: + file: './frontend/Dockerfile' + platforms: ${{ matrix.platform }} + context: ./frontend + push: true + tags: | + ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:${{ github.event.release.tag_name }}-${{ matrix.suffix }} + ghcr.io/${{ github.repository_owner }}/docsgpt-fe:${{ github.event.release.tag_name }}-${{ matrix.suffix }} + provenance: false + sbom: false + cache-from: type=registry,ref=${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:latest + cache-to: type=inline + + manifest: + if: github.repository == 'arc53/DocsGPT' + needs: build + runs-on: ubuntu-latest + permissions: + packages: write + steps: + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Create and push manifest for DockerHub + run: | + set -e + docker manifest create ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:${{ github.event.release.tag_name }} \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:${{ github.event.release.tag_name }}-amd64 \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:${{ github.event.release.tag_name }}-arm64 + docker manifest push ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:${{ github.event.release.tag_name }} + docker manifest create ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:latest \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:${{ github.event.release.tag_name }}-amd64 \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:${{ github.event.release.tag_name }}-arm64 + docker manifest push ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:latest + + - name: Create and push manifest for ghcr.io + run: | + set -e + docker manifest create ghcr.io/${{ github.repository_owner }}/docsgpt-fe:${{ github.event.release.tag_name }} \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt-fe:${{ github.event.release.tag_name }}-amd64 \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt-fe:${{ github.event.release.tag_name }}-arm64 + docker manifest push ghcr.io/${{ github.repository_owner }}/docsgpt-fe:${{ github.event.release.tag_name }} + docker manifest create ghcr.io/${{ github.repository_owner }}/docsgpt-fe:latest \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt-fe:${{ github.event.release.tag_name }}-amd64 \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt-fe:${{ github.event.release.tag_name }}-arm64 + docker manifest push ghcr.io/${{ github.repository_owner }}/docsgpt-fe:latest \ No newline at end of file diff --git a/.github/workflows/docker-develop-build.yml b/.github/workflows/docker-develop-build.yml new file mode 100644 index 00000000..44a61769 --- /dev/null +++ b/.github/workflows/docker-develop-build.yml @@ -0,0 +1,100 @@ +name: Build and push multi-arch DocsGPT Docker image + +on: + workflow_dispatch: + push: + branches: + - main + +jobs: + build: + if: github.repository == 'arc53/DocsGPT' + strategy: + matrix: + include: + - platform: linux/amd64 + runner: ubuntu-latest + suffix: amd64 + - platform: linux/arm64 + runner: ubuntu-24.04-arm + suffix: arm64 + runs-on: ${{ matrix.runner }} + permissions: + contents: read + packages: write + steps: + - uses: actions/checkout@v4 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push platform-specific images + uses: docker/build-push-action@v6 + with: + file: './application/Dockerfile' + platforms: ${{ matrix.platform }} + context: ./application + push: true + tags: | + ${{ secrets.DOCKER_USERNAME }}/docsgpt:develop-${{ matrix.suffix }} + ghcr.io/${{ github.repository_owner }}/docsgpt:develop-${{ matrix.suffix }} + provenance: false + sbom: false + cache-from: type=registry,ref=${{ secrets.DOCKER_USERNAME }}/docsgpt:develop + cache-to: type=inline + + manifest: + if: github.repository == 'arc53/DocsGPT' + needs: build + runs-on: ubuntu-latest + permissions: + packages: write + steps: + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Create and push manifest for DockerHub + run: | + docker manifest create ${{ secrets.DOCKER_USERNAME }}/docsgpt:develop \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt:develop-amd64 \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt:develop-arm64 + docker manifest push ${{ secrets.DOCKER_USERNAME }}/docsgpt:develop + + - name: Create and push manifest for ghcr.io + run: | + docker manifest create ghcr.io/${{ github.repository_owner }}/docsgpt:develop \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt:develop-amd64 \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt:develop-arm64 + docker manifest push ghcr.io/${{ github.repository_owner }}/docsgpt:develop \ No newline at end of file diff --git a/.github/workflows/docker-develop-fe-build.yml b/.github/workflows/docker-develop-fe-build.yml new file mode 100644 index 00000000..df7bdac6 --- /dev/null +++ b/.github/workflows/docker-develop-fe-build.yml @@ -0,0 +1,104 @@ +name: Build and push DocsGPT FE Docker image for development + +on: + workflow_dispatch: + push: + branches: + - main + +jobs: + build: + if: github.repository == 'arc53/DocsGPT' + strategy: + matrix: + include: + - platform: linux/amd64 + runner: ubuntu-latest + suffix: amd64 + - platform: linux/arm64 + runner: ubuntu-24.04-arm + suffix: arm64 + runs-on: ${{ matrix.runner }} + permissions: + contents: read + packages: write + steps: + - uses: actions/checkout@v4 + + - name: Set up QEMU # Only needed for emulation, not for native arm64 builds + if: matrix.platform == 'linux/arm64' + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push platform-specific images + uses: docker/build-push-action@v6 + with: + file: './frontend/Dockerfile' + platforms: ${{ matrix.platform }} + context: ./frontend + push: true + tags: | + ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:develop-${{ matrix.suffix }} + ghcr.io/${{ github.repository_owner }}/docsgpt-fe:develop-${{ matrix.suffix }} + provenance: false + sbom: false + cache-from: type=registry,ref=${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:develop + cache-to: type=inline + + manifest: + if: github.repository == 'arc53/DocsGPT' + needs: build + runs-on: ubuntu-latest + permissions: + packages: write + steps: + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + with: + driver: docker-container + install: true + + - name: Login to DockerHub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + + - name: Login to ghcr.io + uses: docker/login-action@v3 + with: + registry: ghcr.io + username: ${{ github.repository_owner }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Create and push manifest for DockerHub + run: | + docker manifest create ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:develop \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:develop-amd64 \ + --amend ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:develop-arm64 + docker manifest push ${{ secrets.DOCKER_USERNAME }}/docsgpt-fe:develop + + - name: Create and push manifest for ghcr.io + run: | + docker manifest create ghcr.io/${{ github.repository_owner }}/docsgpt-fe:develop \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt-fe:develop-amd64 \ + --amend ghcr.io/${{ github.repository_owner }}/docsgpt-fe:develop-arm64 + docker manifest push ghcr.io/${{ github.repository_owner }}/docsgpt-fe:develop \ No newline at end of file diff --git a/.github/workflows/labeler.yml b/.github/workflows/labeler.yml new file mode 100644 index 00000000..74b9d7d5 --- /dev/null +++ b/.github/workflows/labeler.yml @@ -0,0 +1,16 @@ +# https://github.com/actions/labeler +name: Pull Request Labeler +on: + - pull_request_target +jobs: + triage: + if: github.repository == 'arc53/DocsGPT' + permissions: + contents: read + pull-requests: write + runs-on: ubuntu-latest + steps: + - uses: actions/labeler@v5 + with: + repo-token: "${{ secrets.GITHUB_TOKEN }}" + sync-labels: true diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml new file mode 100644 index 00000000..a36f529b --- /dev/null +++ b/.github/workflows/lint.yml @@ -0,0 +1,17 @@ +name: Python linting + +on: + push: + branches: + - '*' + pull_request: + types: [ opened, synchronize ] + +jobs: + ruff: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Lint with Ruff + uses: chartboost/ruff-action@v1 diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml new file mode 100644 index 00000000..d5b31109 --- /dev/null +++ b/.github/workflows/pytest.yml @@ -0,0 +1,30 @@ +name: Run python tests with pytest +on: [push, pull_request] +jobs: + pytest_and_coverage: + name: Run tests and count coverage + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.12"] + steps: + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install pytest pytest-cov + cd application + if [ -f requirements.txt ]; then pip install -r requirements.txt; fi + - name: Test with pytest and generate coverage report + run: | + python -m pytest --cov=application --cov-report=xml + - name: Upload coverage reports to Codecov + if: github.event_name == 'pull_request' && matrix.python-version == '3.12' + uses: codecov/codecov-action@v5 + env: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} + diff --git a/.github/workflows/sync_fork.yaml b/.github/workflows/sync_fork.yaml new file mode 100644 index 00000000..a108daf6 --- /dev/null +++ b/.github/workflows/sync_fork.yaml @@ -0,0 +1,41 @@ +name: Upstream Sync + +permissions: + contents: write + +on: + schedule: + - cron: "0 0 * * *" # every hour + workflow_dispatch: + +jobs: + sync_latest_from_upstream: + name: Sync latest commits from upstream repo + runs-on: ubuntu-latest + if: ${{ github.event.repository.fork }} + + steps: + # Step 1: run a standard checkout action + - name: Checkout target repo + uses: actions/checkout@v4 + + # Step 2: run the sync action + - name: Sync upstream changes + id: sync + uses: aormsby/Fork-Sync-With-Upstream-action@v3.4 + with: + # set your upstream repo and branch + upstream_sync_repo: arc53/DocsGPT + upstream_sync_branch: main + target_sync_branch: main + target_repo_token: ${{ secrets.GITHUB_TOKEN }} # automatically generated, no need to set + + # Set test_mode true to run tests instead of the true action!! + test_mode: false + + - name: Sync check + if: failure() + run: | + echo "::error::由于权限不足，导致同步失败（这是预期的行为），请前往仓库首页手动执行[Sync fork]。" + echo "::error::Due to insufficient permissions, synchronization failed (as expected). Please go to the repository homepage and manually perform [Sync fork]." + exit 1 \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..8e3c2125 --- /dev/null +++ b/.gitignore @@ -0,0 +1,177 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so +*.next +# Distribution / packaging +.Python +build/ +develop-eggs/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints +**/*.ipynb + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ +.flaskenv +# Spyder project settings +.spyderproject +.spyproject +.jwt_secret_key + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +#pycharm +.idea/ + +# macOS +.DS_Store + +#frontend +# Logs +frontend/logs +frontend/*.log +frontend/npm-debug.log* +frontend/yarn-debug.log* +frontend/yarn-error.log* +frontend/pnpm-debug.log* +frontend/lerna-debug.log* + +frontend/node_modules +frontend/dist +frontend/dist-ssr +frontend/*.local + +# Editor directories and files +frontend/.vscode/* +frontend/!.vscode/extensions.json +frontend/.idea +frontend/.DS_Store +frontend/*.suo +frontend/*.ntvs* +frontend/*.njsproj +frontend/*.sln +frontend/*.sw? + +application/vectors/ + +**/inputs + +**/indexes + +**/temp + +**/yarn.lock + +node_modules/ +.vscode/settings.json +/models/ +model/ diff --git a/.ruff.toml b/.ruff.toml new file mode 100644 index 00000000..857f8153 --- /dev/null +++ b/.ruff.toml @@ -0,0 +1,2 @@ +# Allow lines to be as long as 120 characters. +line-length = 120 \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 00000000..5083d977 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,54 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Docker Debug Frontend", + "request": "launch", + "type": "chrome", + "preLaunchTask": "docker-compose: debug:frontend", + "url": "http://127.0.0.1:5173", + "webRoot": "${workspaceFolder}/frontend", + "skipFiles": [ + "/**" + ] + }, + { + "name": "Flask Debugger", + "type": "debugpy", + "request": "launch", + "module": "flask", + "env": { + "FLASK_APP": "application/app.py", + "PYTHONPATH": "${workspaceFolder}", + "FLASK_ENV": "development", + "FLASK_DEBUG": "1", + "FLASK_RUN_PORT": "7091", + "FLASK_RUN_HOST": "0.0.0.0" + + }, + "args": [ + "run", + "--no-debugger" + ], + "cwd": "${workspaceFolder}", + }, + { + "name": "Celery Debugger", + "type": "debugpy", + "request": "launch", + "module": "celery", + "env": { + "PYTHONPATH": "${workspaceFolder}", + }, + "args": [ + "-A", + "application.app.celery", + "worker", + "-l", + "INFO", + "--pool=solo" + ], + "cwd": "${workspaceFolder}" + } + ] +} \ No newline at end of file diff --git a/.vscode/tasks.json b/.vscode/tasks.json new file mode 100644 index 00000000..ea0974bd --- /dev/null +++ b/.vscode/tasks.json @@ -0,0 +1,21 @@ +{ + "version": "2.0.0", + "tasks": [ + { + "type": "docker-compose", + "label": "docker-compose: debug:frontend", + "dockerCompose": { + "up": { + "detached": true, + "services": [ + "frontend" + ], + "build": true + }, + "files": [ + "${workspaceFolder}/docker-compose.yaml" + ] + } + } + ] +} \ No newline at end of file diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 00000000..ba590c87 --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,124 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors and leaders pledge to make participation in our +community, a harassment-free experience for everyone, regardless of age, body +size, visible or invisible disability, ethnicity, sex characteristics, gender +identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, religion or sexual identity +and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, +diverse, inclusive and a healthy community. + +## Our Standards + +Examples of behavior that contribute to a positive environment for our +community include: + +## Demonstrating empathy and kindness towards other people +1. Being respectful and open to differing opinions, viewpoints, and experiences +2. Giving and gracefully accepting constructive feedback +3. Taking accountability and offering apologies to those who have been impacted by our errors, + while also gaining insights from the situation +4. Focusing on what is best not just for us as individuals but for the + community as a whole + +Examples of unacceptable behavior include: + +1. The use of sexualized language or imagery, and sexual attention or + advances of any kind +2. Trolling, insulting or derogatory comments, and personal or political attacks +3. Public or private harassment +4. Publishing other's private information, such as a physical or email + address, without their explicit permission +5. Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of +acceptable behavior and will take appropriate and fair corrective action in +response to any behavior that they deem inappropriate, threatening, offensive +or harmful. + +Community leaders have the right and responsibility to remove, edit, or reject +comments, commits, code, wiki edits, issues, and other contributions that are +not aligned to this Code of Conduct and will communicate reasons for moderation +decisions when appropriate. + +## Scope + +This Code of Conduct applies within all community spaces and also applies when +an individual is officially representing the community in public spaces. +Examples of representing our community include using an official e-mail address, +posting via an official social media account or acting as an appointed +representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported to the community leaders responsible for enforcement at +contact@arc53.com. +All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to be respectful towards the privacy and security of the +reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining +the consequences for any action that they deem in violation of this Code of Conduct: + +### 1. Correction +* **Community Impact**: Use of inappropriate language or other behavior deemed +unprofessional or unwelcome in the community space. + +* **Consequence**: A private, written warning from community leaders, providing +clarity around the nature of the violation and an explanation of why the +behavior was inappropriate. A public apology may be requested. + +### 2. Warning +* **Community Impact**: A violation through a single incident or series +of actions. + +* **Consequence**: A warning with consequences for continued behavior. No +interaction with the people involved, including unsolicited interaction with +those enforcing the Code of Conduct, for a specified period of time. This +includes avoiding interactions in community spaces as well as external channels +like social media. Violating these terms may lead to a temporary or +permanent ban. + +### 3. Temporary Ban +* **Community Impact**: A serious violation of community standards, including +sustained inappropriate behavior. + +* **Consequence**: A temporary ban from any sort of interaction or public +communication with the community for a specified period of time. No public or +private interaction with the people involved, including unsolicited interaction +with those enforcing the Code of Conduct, is allowed during this period. +Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban +* **Community Impact**: Demonstrating a pattern of violation of community +standards, including sustained inappropriate behavior,harassment of an +individual or aggression towards or disparagement of classes of individuals. + +* **Consequence**: A permanent ban from any sort of public interaction within +the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], +version 2.0, available at +https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. + +Community Impact Guidelines were inspired by [Mozilla's code of conduct +enforcement ladder](https://github.com/mozilla/diversity). + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see the FAQ at +https://www.contributor-covenant.org/faq. Translations are available at +https://www.contributor-covenant.org/translations. diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..096f236b --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,151 @@ +# Welcome to DocsGPT Contributing Guidelines + +Thank you for choosing to contribute to DocsGPT! We are all very grateful! + +# We accept different types of contributions + +📣 **Discussions** - Engage in conversations, start new topics, or help answer questions. + +🐞 **Issues** - This is where we keep track of tasks. It could be bugs, fixes or suggestions for new features. + +🛠️ **Pull requests** - Suggest changes to our repository, either by working on existing issues or adding new features. + +📚 **Wiki** - This is where our documentation resides. + + +## 🐞 Issues and Pull requests + +- We value contributions in the form of discussions or suggestions. We recommend taking a look at existing issues and our [roadmap](https://github.com/orgs/arc53/projects/2). + + +- If you're interested in contributing code, here are some important things to know: + +- We have a frontend built on React (Vite) and a backend in Python. + + +Before creating issues, please check out how the latest version of our app looks and works by launching it via [Quickstart](https://github.com/arc53/DocsGPT#quickstart) the version on our live demo is slightly modified with login. Your issues should relate to the version you can launch via [Quickstart](https://github.com/arc53/DocsGPT#quickstart). + +### 👨‍💻 If you're interested in contributing code, here are some important things to know: + +For instructions on setting up a development environment, please refer to our [Development Deployment Guide](https://docs.docsgpt.cloud/Deploying/Development-Environment). + +Tech Stack Overview: + +- 🌐 Frontend: Built with React (Vite) ⚛️, + +- 🖥 Backend: Developed in Python 🐍 + +### 🌐 Frontend Contributions (⚛️ React, Vite) + +* The updated Figma design can be found [here](https://www.figma.com/file/OXLtrl1EAy885to6S69554/DocsGPT?node-id=0%3A1&t=hjWVuxRg9yi5YkJ9-1). Please try to follow the guidelines. +* **Coding Style:** We follow a strict coding style enforced by ESLint and Prettier. Please ensure your code adheres to the configuration provided in our repository's `fronetend/.eslintrc.js` file. We recommend configuring your editor with ESLint and Prettier to help with this. +* **Component Structure:** Strive for small, reusable components. Favor functional components and hooks over class components where possible. +* **State Management** If you need to add stores, please use Redux. + +### 🖥 Backend Contributions (🐍 Python) + +- Review our issues and contribute to [`/application`](https://github.com/arc53/DocsGPT/tree/main/application) +- All new code should be covered with unit tests ([pytest](https://github.com/pytest-dev/pytest)). Please find tests under [`/tests`](https://github.com/arc53/DocsGPT/tree/main/tests) folder. +- Before submitting your Pull Request, ensure it can be queried after ingesting some test data. +- **Coding Style:** We adhere to the [PEP 8](https://www.python.org/dev/peps/pep-0008/) style guide for Python code. We use `ruff` as our linter and code formatter. Please ensure your code is formatted correctly and passes `ruff` checks before submitting. +- **Type Hinting:** Please use type hints for all function arguments and return values. This improves code readability and helps catch errors early. Example: + + ```python + def my_function(name: str, count: int) -> list[str]: + ... + ``` +- **Docstrings:** All functions and classes should have docstrings explaining their purpose, parameters, and return values. We prefer the [Google style docstrings](https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html). Example: + + ```python + def my_function(name: str, count: int) -> list[str]: + """Does something with a name and a count. + + Args: + name: The name to use. + count: The number of times to do it. + + Returns: + A list of strings. + """ + ... + ``` + +### Testing + +To run unit tests from the root of the repository, execute: +``` +python -m pytest +``` + +## Workflow 📈 + +Here's a step-by-step guide on how to contribute to DocsGPT: + +1. **Fork the Repository:** + - Click the "Fork" button at the top-right of this repository to create your fork. + +2. **Clone the Forked Repository:** + - Clone the repository using: + ``` shell + git clone https://github.com//DocsGPT.git + ``` + +3. **Keep your Fork in Sync:** + - Before you make any changes, make sure that your fork is in sync to avoid merge conflicts using: + ```shell + git remote add upstream https://github.com/arc53/DocsGPT.git + git pull upstream main + ``` + +4. **Create and Switch to a New Branch:** + - Create a new branch for your contribution using: + ```shell + git checkout -b your-branch-name + ``` + +5. **Make Changes:** + - Make the required changes in your branch. + +6. **Add Changes to the Staging Area:** + - Add your changes to the staging area using: + ```shell + git add . + ``` + +7. **Commit Your Changes:** + - Commit your changes with a descriptive commit message using: + ```shell + git commit -m "Your descriptive commit message" + ``` + +8. **Push Your Changes to the Remote Repository:** + - Push your branch with changes to your fork on GitHub using: + ```shell + git push origin your-branch-name + ``` + +9. **Submit a Pull Request (PR):** + - Create a Pull Request from your branch to the main repository. Make sure to include a detailed description of your changes and reference any related issues. + +10. **Collaborate:** + - Be responsive to comments and feedback on your PR. + - Make necessary updates as suggested. + - Once your PR is approved, it will be merged into the main repository. + +11. **Testing:** + - Before submitting a Pull Request, ensure your code passes all unit tests. + - To run unit tests from the root of the repository, execute: + ```shell + python -m pytest + ``` + +*Note: You should run the unit test only after making the changes to the backend code.* + +12. **Questions and Collaboration:** + - Feel free to join our Discord. We're very friendly and welcoming to new contributors, so don't hesitate to reach out. + +Thank you for considering contributing to DocsGPT! 🙏 + +## Questions/collaboration +Feel free to join our [Discord](https://discord.gg/n5BX8dh8rU). We're very friendly and welcoming to new contributors, so don't hesitate to reach out. +# Thank you so much for considering to contributing DocsGPT!🙏 diff --git a/LICENSE b/LICENSE new file mode 100644 index 00000000..eb01d1a0 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 arc53 + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 00000000..bc4113ee --- /dev/null +++ b/README.md @@ -0,0 +1,158 @@ +

+ DocsGPT 🦖 +

+ +

+ Open-Source RAG Assistant +

+ +

+ DocsGPT is an open-source genAI tool that helps users get reliable answers from any knowledge source, while avoiding hallucinations. It enables quick and reliable information retrieval, with tooling and agentic system capability built in. +

+ +
+ + ![link to main GitHub showing Stars number](https://img.shields.io/github/stars/arc53/docsgpt?style=social) + ![link to main GitHub showing Forks number](https://img.shields.io/github/forks/arc53/docsgpt?style=social) + ![link to license file](https://img.shields.io/github/license/arc53/docsgpt) + + ![link to discord](https://img.shields.io/discord/1070046503302877216) + ![X (formerly Twitter) URL](https://img.shields.io/twitter/follow/docsgptai) + + ⚡️ Quickstart • ☁️ Cloud Version • 💬 Discord +
+ 📖 Documentation • 👫 Contribute • 🗞 Blog +
+ +
+
+video-example-of-docs-gpt +
+

+ Key Features: +

+
    +
  • 🗂️ Wide Format Support: Reads PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, and images.
    • +
  • 🌐 Web & Data Integration: Ingests from URLs, sitemaps, Reddit, GitHub and web crawlers.
    • +
  • ✅ Reliable Answers: Get accurate, hallucination-free responses with source citations viewable in a clean UI.
    • +
  • 🔑 Streamlined API Keys: Generate keys linked to your settings, documents, and models, simplifying chatbot and integration setup.
    • +
  • 🔗 Actionable Tooling: Connect to APIs, tools, and other services to enable LLM actions.
    • +
  • 🧩 Pre-built Integrations: Use readily available HTML/React chat widgets, search tools, Discord/Telegram bots, and more.
    • +
  • 🔌 Flexible Deployment: Works with major LLMs (OpenAI, Google, Anthropic) and local models (Ollama, llama_cpp).
    • +
  • 🏢 Secure & Scalable: Run privately and securely with Kubernetes support, designed for enterprise-grade reliability.
    • +
+ +## Roadmap + +- [x] Full GoogleAI compatibility (Jan 2025) +- [x] Add tools (Jan 2025) +- [x] Manually updating chunks in the app UI (Feb 2025) +- [x] Devcontainer for easy development (Feb 2025) +- [x] ReACT agent (March 2025) +- [x] Chatbots menu re-design to handle tools, agent types, and more (April 2025) +- [x] New input box in the conversation menu (April 2025) +- [x] Add triggerable actions / tools (webhook) (April 2025) +- [ ] Anthropic Tool compatibility (May 2025) +- [ ] Add OAuth 2.0 authentication for tools and sources +- [ ] Agent scheduling + +You can find our full roadmap [here](https://github.com/orgs/arc53/projects/2). Please don't hesitate to contribute or create issues, it helps us improve DocsGPT! + +### Production Support / Help for Companies: + +We're eager to provide personalized assistance when deploying your DocsGPT to a live environment. + +[Get a Demo :wave:](https://www.docsgpt.cloud/contact)⁠ + +[Send Email :email:](mailto:support@docsgpt.cloud?subject=DocsGPT%20support%2Fsolutions) + +## Join the Lighthouse Program 🌟 + +Calling all developers and GenAI innovators! The **DocsGPT Lighthouse Program** connects technical leaders actively deploying or extending DocsGPT in real-world scenarios. Collaborate directly with our team to shape the roadmap, access priority support, and build enterprise-ready solutions with exclusive community insights. + +[Learn More & Apply →](https://docs.google.com/forms/d/1KAADiJinUJ8EMQyfTXUIGyFbqINNClNR3jBNWq7DgTE) + + +## QuickStart + +> [!Note] +> Make sure you have [Docker](https://docs.docker.com/engine/install/) installed + +A more detailed [Quickstart](https://docs.docsgpt.cloud/quickstart) is available in our documentation + +1. **Clone the repository:** + + ```bash + git clone https://github.com/arc53/DocsGPT.git + cd DocsGPT + ``` + +**For macOS and Linux:** + +2. **Run the setup script:** + + ```bash + ./setup.sh + ``` + +**For Windows:** + +2. **Run the PowerShell setup script:** + + ```powershell + PowerShell -ExecutionPolicy Bypass -File .\setup.ps1 + ``` + +Either script will guide you through setting up DocsGPT. Four options available: using the public API, running locally, connecting to a local inference engine, or using a cloud API provider. Scripts will automatically configure your `.env` file and handle necessary downloads and installations based on your chosen option. + +**Navigate to http://localhost:5173/** + +To stop DocsGPT, open a terminal in the `DocsGPT` directory and run: + +```bash +docker compose -f deployment/docker-compose.yaml down +``` +(or use the specific `docker compose down` command shown after running the setup script). + +> [!Note] +> For development environment setup instructions, please refer to the [Development Environment Guide](https://docs.docsgpt.cloud/Deploying/Development-Environment). + +## Contributing + +Please refer to the [CONTRIBUTING.md](CONTRIBUTING.md) file for information about how to get involved. We welcome issues, questions, and pull requests. + +## Architecture + +![Architecture chart](https://github.com/user-attachments/assets/fc6a7841-ddfc-45e6-b5a0-d05fe648cbe2) + +## Project Structure + +- Application - Flask app (main application). + +- Extensions - Extensions, like react widget or discord bot. + +- Frontend - Frontend uses Vite and React. + +- Scripts - Miscellaneous scripts. + +## Code Of Conduct + +We as members, contributors, and leaders, pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. Please refer to the [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) file for more information about contributing. + + +## Many Thanks To Our Contributors⚡ + + + Contributors + + +## License + +The source code license is [MIT](https://opensource.org/license/mit/), as described in the [LICENSE](LICENSE) file. + +

This project is supported by:

+

+ + + +

diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 00000000..ba034aa2 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,14 @@ +# Security Policy + +## Supported Versions + +Supported Versions: + +Currently, we support security patches by committing changes and bumping the version published on Github. + +## Reporting a Vulnerability + +Found a vulnerability? Please email us: + +security@arc53.com + diff --git a/application/.env_sample b/application/.env_sample new file mode 100644 index 00000000..8ab24d2a --- /dev/null +++ b/application/.env_sample @@ -0,0 +1,11 @@ +API_KEY=your_api_key +EMBEDDINGS_KEY=your_api_key +API_URL=http://localhost:7091 +FLASK_APP=application/app.py +FLASK_DEBUG=true + +#For OPENAI on Azure +OPENAI_API_BASE= +OPENAI_API_VERSION= +AZURE_DEPLOYMENT_NAME= +AZURE_EMBEDDINGS_DEPLOYMENT_NAME= \ No newline at end of file diff --git a/application/Dockerfile b/application/Dockerfile new file mode 100644 index 00000000..e33721a2 --- /dev/null +++ b/application/Dockerfile @@ -0,0 +1,87 @@ +# Builder Stage +FROM ubuntu:24.04 as builder + +ENV DEBIAN_FRONTEND=noninteractive + +RUN apt-get update && \ + apt-get install -y software-properties-common && \ + add-apt-repository ppa:deadsnakes/ppa && \ + apt-get update && \ + apt-get install -y --no-install-recommends gcc wget unzip libc6-dev python3.12 python3.12-venv && \ + rm -rf /var/lib/apt/lists/* + +# Verify Python installation and setup symlink +RUN if [ -f /usr/bin/python3.12 ]; then \ + ln -s /usr/bin/python3.12 /usr/bin/python; \ + else \ + echo "Python 3.12 not found"; exit 1; \ + fi + +# Download and unzip the model +RUN wget https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip && \ + unzip mpnet-base-v2.zip -d models && \ + rm mpnet-base-v2.zip + +# Install Rust +RUN wget -q -O - https://sh.rustup.rs | sh -s -- -y + +# Clean up to reduce container size +RUN apt-get remove --purge -y wget unzip && apt-get autoremove -y && rm -rf /var/lib/apt/lists/* + +# Copy requirements.txt +COPY requirements.txt . + +# Setup Python virtual environment +RUN python3.12 -m venv /venv + +# Activate virtual environment and install Python packages +ENV PATH="/venv/bin:$PATH" + +# Install Python packages +RUN pip install --no-cache-dir --upgrade pip && \ + pip install --no-cache-dir tiktoken && \ + pip install --no-cache-dir -r requirements.txt + +# Final Stage +FROM ubuntu:24.04 as final + +RUN apt-get update && \ + apt-get install -y software-properties-common && \ + add-apt-repository ppa:deadsnakes/ppa && \ + apt-get update && apt-get install -y --no-install-recommends python3.12 && \ + ln -s /usr/bin/python3.12 /usr/bin/python && \ + rm -rf /var/lib/apt/lists/* + +# Set working directory +WORKDIR /app + +# Create a non-root user: `appuser` (Feel free to choose a name) +RUN groupadd -r appuser && \ + useradd -r -g appuser -d /app -s /sbin/nologin -c "Docker image user" appuser + +# Copy the virtual environment and model from the builder stage +COPY --from=builder /venv /venv + +COPY --from=builder /models /app/models + +# Copy your application code +COPY . /app/application + +# Change the ownership of the /app directory to the appuser + +RUN mkdir -p /app/application/inputs/local +RUN chown -R appuser:appuser /app + +# Set environment variables +ENV FLASK_APP=app.py \ + FLASK_DEBUG=true \ + PATH="/venv/bin:$PATH" + +# Expose the port the app runs on +EXPOSE 7091 + +# Switch to non-root user +USER appuser + +# Start Gunicorn +CMD ["gunicorn", "-w", "1", "--timeout", "120", "--bind", "0.0.0.0:7091", "--preload", "application.wsgi:app"] diff --git a/application/__init__.py b/application/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/agents/__init__.py b/application/agents/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/agents/agent_creator.py b/application/agents/agent_creator.py new file mode 100644 index 00000000..bf37d4ec --- /dev/null +++ b/application/agents/agent_creator.py @@ -0,0 +1,16 @@ +from application.agents.classic_agent import ClassicAgent +from application.agents.react_agent import ReActAgent + + +class AgentCreator: + agents = { + "classic": ClassicAgent, + "react": ReActAgent, + } + + @classmethod + def create_agent(cls, type, *args, **kwargs): + agent_class = cls.agents.get(type.lower()) + if not agent_class: + raise ValueError(f"No agent class found for type {type}") + return agent_class(*args, **kwargs) diff --git a/application/agents/base.py b/application/agents/base.py new file mode 100644 index 00000000..c9cc579d --- /dev/null +++ b/application/agents/base.py @@ -0,0 +1,327 @@ +import uuid +from abc import ABC, abstractmethod +from typing import Dict, Generator, List, Optional + +from bson.objectid import ObjectId + +from application.agents.tools.tool_action_parser import ToolActionParser +from application.agents.tools.tool_manager import ToolManager + +from application.core.mongo_db import MongoDB +from application.core.settings import settings + +from application.llm.handlers.handler_creator import LLMHandlerCreator +from application.llm.llm_creator import LLMCreator +from application.logging import build_stack_data, log_activity, LogContext +from application.retriever.base import BaseRetriever + + +class BaseAgent(ABC): + def __init__( + self, + endpoint: str, + llm_name: str, + gpt_model: str, + api_key: str, + user_api_key: Optional[str] = None, + prompt: str = "", + chat_history: Optional[List[Dict]] = None, + decoded_token: Optional[Dict] = None, + attachments: Optional[List[Dict]] = None, + ): + self.endpoint = endpoint + self.llm_name = llm_name + self.gpt_model = gpt_model + self.api_key = api_key + self.user_api_key = user_api_key + self.prompt = prompt + self.decoded_token = decoded_token or {} + self.user: str = decoded_token.get("sub") + self.tool_config: Dict = {} + self.tools: List[Dict] = [] + self.tool_calls: List[Dict] = [] + self.chat_history: List[Dict] = chat_history if chat_history is not None else [] + self.llm = LLMCreator.create_llm( + llm_name, + api_key=api_key, + user_api_key=user_api_key, + decoded_token=decoded_token, + ) + self.llm_handler = LLMHandlerCreator.create_handler( + llm_name if llm_name else "default" + ) + self.attachments = attachments or [] + + @log_activity() + def gen( + self, query: str, retriever: BaseRetriever, log_context: LogContext = None + ) -> Generator[Dict, None, None]: + yield from self._gen_inner(query, retriever, log_context) + + @abstractmethod + def _gen_inner( + self, query: str, retriever: BaseRetriever, log_context: LogContext + ) -> Generator[Dict, None, None]: + pass + + def _get_tools(self, api_key: str = None) -> Dict[str, Dict]: + mongo = MongoDB.get_client() + db = mongo[settings.MONGO_DB_NAME] + agents_collection = db["agents"] + tools_collection = db["user_tools"] + + agent_data = agents_collection.find_one({"key": api_key or self.user_api_key}) + tool_ids = agent_data.get("tools", []) if agent_data else [] + + tools = ( + tools_collection.find( + {"_id": {"$in": [ObjectId(tool_id) for tool_id in tool_ids]}} + ) + if tool_ids + else [] + ) + tools = list(tools) + tools_by_id = {str(tool["_id"]): tool for tool in tools} if tools else {} + + return tools_by_id + + def _get_user_tools(self, user="local"): + mongo = MongoDB.get_client() + db = mongo[settings.MONGO_DB_NAME] + user_tools_collection = db["user_tools"] + user_tools = user_tools_collection.find({"user": user, "status": True}) + user_tools = list(user_tools) + tools_by_id = {str(tool["_id"]): tool for tool in user_tools} + return tools_by_id + + def _build_tool_parameters(self, action): + params = {"type": "object", "properties": {}, "required": []} + for param_type in ["query_params", "headers", "body", "parameters"]: + if param_type in action and action[param_type].get("properties"): + for k, v in action[param_type]["properties"].items(): + if v.get("filled_by_llm", True): + params["properties"][k] = { + key: value + for key, value in v.items() + if key != "filled_by_llm" and key != "value" + } + + params["required"].append(k) + return params + + def _prepare_tools(self, tools_dict): + self.tools = [ + { + "type": "function", + "function": { + "name": f"{action['name']}_{tool_id}", + "description": action["description"], + "parameters": self._build_tool_parameters(action), + }, + } + for tool_id, tool in tools_dict.items() + if ( + (tool["name"] == "api_tool" and "actions" in tool.get("config", {})) + or (tool["name"] != "api_tool" and "actions" in tool) + ) + for action in ( + tool["config"]["actions"].values() + if tool["name"] == "api_tool" + else tool["actions"] + ) + if action.get("active", True) + ] + + def _execute_tool_action(self, tools_dict, call): + parser = ToolActionParser(self.llm.__class__.__name__) + tool_id, action_name, call_args = parser.parse_args(call) + + call_id = getattr(call, "id", None) or str(uuid.uuid4()) + tool_call_data = { + "tool_name": tools_dict[tool_id]["name"], + "call_id": call_id, + "action_name": f"{action_name}_{tool_id}", + "arguments": call_args, + } + yield {"type": "tool_call", "data": {**tool_call_data, "status": "pending"}} + + tool_data = tools_dict[tool_id] + action_data = ( + tool_data["config"]["actions"][action_name] + if tool_data["name"] == "api_tool" + else next( + action + for action in tool_data["actions"] + if action["name"] == action_name + ) + ) + + query_params, headers, body, parameters = {}, {}, {}, {} + param_types = { + "query_params": query_params, + "headers": headers, + "body": body, + "parameters": parameters, + } + + for param_type, target_dict in param_types.items(): + if param_type in action_data and action_data[param_type].get("properties"): + for param, details in action_data[param_type]["properties"].items(): + if param not in call_args and "value" in details: + target_dict[param] = details["value"] + for param, value in call_args.items(): + for param_type, target_dict in param_types.items(): + if param_type in action_data and param in action_data[param_type].get( + "properties", {} + ): + target_dict[param] = value + tm = ToolManager(config={}) + tool = tm.load_tool( + tool_data["name"], + tool_config=( + { + "url": tool_data["config"]["actions"][action_name]["url"], + "method": tool_data["config"]["actions"][action_name]["method"], + "headers": headers, + "query_params": query_params, + } + if tool_data["name"] == "api_tool" + else tool_data["config"] + ), + ) + if tool_data["name"] == "api_tool": + print( + f"Executing api: {action_name} with query_params: {query_params}, headers: {headers}, body: {body}" + ) + result = tool.execute_action(action_name, **body) + else: + print(f"Executing tool: {action_name} with args: {call_args}") + result = tool.execute_action(action_name, **parameters) + tool_call_data["result"] = ( + f"{str(result)[:50]}..." if len(str(result)) > 50 else result + ) + + yield {"type": "tool_call", "data": {**tool_call_data, "status": "completed"}} + self.tool_calls.append(tool_call_data) + + return result, call_id + + def _get_truncated_tool_calls(self): + return [ + { + **tool_call, + "result": ( + f"{str(tool_call['result'])[:50]}..." + if len(str(tool_call["result"])) > 50 + else tool_call["result"] + ), + "status": "completed", + } + for tool_call in self.tool_calls + ] + + def _build_messages( + self, + system_prompt: str, + query: str, + retrieved_data: List[Dict], + ) -> List[Dict]: + docs_together = "\n".join([doc["text"] for doc in retrieved_data]) + p_chat_combine = system_prompt.replace("{summaries}", docs_together) + messages_combine = [{"role": "system", "content": p_chat_combine}] + + for i in self.chat_history: + if "prompt" in i and "response" in i: + messages_combine.append({"role": "user", "content": i["prompt"]}) + messages_combine.append({"role": "assistant", "content": i["response"]}) + if "tool_calls" in i: + for tool_call in i["tool_calls"]: + call_id = tool_call.get("call_id") or str(uuid.uuid4()) + + function_call_dict = { + "function_call": { + "name": tool_call.get("action_name"), + "args": tool_call.get("arguments"), + "call_id": call_id, + } + } + function_response_dict = { + "function_response": { + "name": tool_call.get("action_name"), + "response": {"result": tool_call.get("result")}, + "call_id": call_id, + } + } + + messages_combine.append( + {"role": "assistant", "content": [function_call_dict]} + ) + messages_combine.append( + {"role": "tool", "content": [function_response_dict]} + ) + messages_combine.append({"role": "user", "content": query}) + return messages_combine + + def _retriever_search( + self, + retriever: BaseRetriever, + query: str, + log_context: Optional[LogContext] = None, + ) -> List[Dict]: + retrieved_data = retriever.search(query) + if log_context: + data = build_stack_data(retriever, exclude_attributes=["llm"]) + log_context.stacks.append({"component": "retriever", "data": data}) + return retrieved_data + + def _llm_gen(self, messages: List[Dict], log_context: Optional[LogContext] = None): + gen_kwargs = {"model": self.gpt_model, "messages": messages} + + if ( + hasattr(self.llm, "_supports_tools") + and self.llm._supports_tools + and self.tools + ): + gen_kwargs["tools"] = self.tools + resp = self.llm.gen_stream(**gen_kwargs) + + if log_context: + data = build_stack_data(self.llm, exclude_attributes=["client"]) + log_context.stacks.append({"component": "llm", "data": data}) + return resp + + def _llm_handler( + self, + resp, + tools_dict: Dict, + messages: List[Dict], + log_context: Optional[LogContext] = None, + attachments: Optional[List[Dict]] = None, + ): + resp = self.llm_handler.process_message_flow( + self, resp, tools_dict, messages, attachments, True + ) + if log_context: + data = build_stack_data(self.llm_handler, exclude_attributes=["tool_calls"]) + log_context.stacks.append({"component": "llm_handler", "data": data}) + return resp + + def _handle_response(self, response, tools_dict, messages, log_context): + if isinstance(response, str): + yield {"answer": response} + return + if hasattr(response, "message") and getattr(response.message, "content", None): + yield {"answer": response.message.content} + return + + processed_response_gen = self._llm_handler( + response, tools_dict, messages, log_context, self.attachments + ) + + for event in processed_response_gen: + if isinstance(event, str): + yield {"answer": event} + elif hasattr(event, "message") and getattr(event.message, "content", None): + yield {"answer": event.message.content} + elif isinstance(event, dict) and "type" in event: + yield event diff --git a/application/agents/classic_agent.py b/application/agents/classic_agent.py new file mode 100644 index 00000000..6fe73de0 --- /dev/null +++ b/application/agents/classic_agent.py @@ -0,0 +1,53 @@ +from typing import Dict, Generator +from application.agents.base import BaseAgent +from application.logging import LogContext +from application.retriever.base import BaseRetriever +import logging + +logger = logging.getLogger(__name__) + + +class ClassicAgent(BaseAgent): + """A simplified classic agent with clear execution flow. + + Usage: + 1. Processes a query through retrieval + 2. Sets up available tools + 3. Generates responses using LLM + 4. Handles tool interactions if needed + 5. Returns standardized outputs + + Easy to extend by overriding specific steps. + """ + + def _gen_inner( + self, query: str, retriever: BaseRetriever, log_context: LogContext + ) -> Generator[Dict, None, None]: + # Step 1: Retrieve relevant data + retrieved_data = self._retriever_search(retriever, query, log_context) + + # Step 2: Prepare tools + tools_dict = ( + self._get_user_tools(self.user) + if not self.user_api_key + else self._get_tools(self.user_api_key) + ) + self._prepare_tools(tools_dict) + + # Step 3: Build and process messages + messages = self._build_messages(self.prompt, query, retrieved_data) + llm_response = self._llm_gen(messages, log_context) + + # Step 4: Handle the response + yield from self._handle_response( + llm_response, tools_dict, messages, log_context + ) + + # Step 5: Return metadata + yield {"sources": retrieved_data} + yield {"tool_calls": self._get_truncated_tool_calls()} + + # Log tool calls for debugging + log_context.stacks.append( + {"component": "agent", "data": {"tool_calls": self.tool_calls.copy()}} + ) diff --git a/application/agents/react_agent.py b/application/agents/react_agent.py new file mode 100644 index 00000000..60646492 --- /dev/null +++ b/application/agents/react_agent.py @@ -0,0 +1,229 @@ +import os +from typing import Dict, Generator, List, Any +import logging + +from application.agents.base import BaseAgent +from application.logging import build_stack_data, LogContext +from application.retriever.base import BaseRetriever + +logger = logging.getLogger(__name__) + +current_dir = os.path.dirname( + os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +) +with open( + os.path.join(current_dir, "application/prompts", "react_planning_prompt.txt"), "r" +) as f: + planning_prompt_template = f.read() +with open( + os.path.join(current_dir, "application/prompts", "react_final_prompt.txt"), + "r", +) as f: + final_prompt_template = f.read() + +MAX_ITERATIONS_REASONING = 10 + +class ReActAgent(BaseAgent): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.plan: str = "" + self.observations: List[str] = [] + + def _extract_content_from_llm_response(self, resp: Any) -> str: + """ + Helper to extract string content from various LLM response types. + Handles strings, message objects (OpenAI-like), and streams. + Adapt stream handling for your specific LLM client if not OpenAI. + """ + collected_content = [] + if isinstance(resp, str): + collected_content.append(resp) + elif ( # OpenAI non-streaming or Anthropic non-streaming (older SDK style) + hasattr(resp, "message") + and hasattr(resp.message, "content") + and resp.message.content is not None + ): + collected_content.append(resp.message.content) + elif ( # OpenAI non-streaming (Pydantic model), Anthropic new SDK non-streaming + hasattr(resp, "choices") and resp.choices and + hasattr(resp.choices[0], "message") and + hasattr(resp.choices[0].message, "content") and + resp.choices[0].message.content is not None + ): + collected_content.append(resp.choices[0].message.content) # OpenAI + elif ( # Anthropic new SDK non-streaming content block + hasattr(resp, "content") and isinstance(resp.content, list) and resp.content and + hasattr(resp.content[0], "text") + ): + collected_content.append(resp.content[0].text) # Anthropic + else: + # Assume resp is a stream if not a recognized object + try: + for chunk in resp: # This will fail if resp is not iterable (e.g. a non-streaming response object) + content_piece = "" + # OpenAI-like stream + if hasattr(chunk, 'choices') and len(chunk.choices) > 0 and \ + hasattr(chunk.choices[0], 'delta') and \ + hasattr(chunk.choices[0].delta, 'content') and \ + chunk.choices[0].delta.content is not None: + content_piece = chunk.choices[0].delta.content + # Anthropic-like stream (ContentBlockDelta) + elif hasattr(chunk, 'type') and chunk.type == 'content_block_delta' and \ + hasattr(chunk, 'delta') and hasattr(chunk.delta, 'text'): + content_piece = chunk.delta.text + elif isinstance(chunk, str): # Simplest case: stream of strings + content_piece = chunk + + if content_piece: + collected_content.append(content_piece) + except TypeError: # If resp is not iterable (e.g. a final response object that wasn't caught above) + logger.debug(f"Response type {type(resp)} could not be iterated as a stream. It might be a non-streaming object not handled by specific checks.") + except Exception as e: + logger.error(f"Error processing potential stream chunk: {e}, chunk was: {getattr(chunk, '__dict__', chunk)}") + + + return "".join(collected_content) + + def _gen_inner( + self, query: str, retriever: BaseRetriever, log_context: LogContext + ) -> Generator[Dict, None, None]: + # Reset state for this generation call + self.plan = "" + self.observations = [] + retrieved_data = self._retriever_search(retriever, query, log_context) + + if self.user_api_key: + tools_dict = self._get_tools(self.user_api_key) + else: + tools_dict = self._get_user_tools(self.user) + self._prepare_tools(tools_dict) + + docs_together = "\n".join([doc["text"] for doc in retrieved_data]) + iterating_reasoning = 0 + while iterating_reasoning < MAX_ITERATIONS_REASONING: + iterating_reasoning += 1 + # 1. Create Plan + logger.info("ReActAgent: Creating plan...") + plan_stream = self._create_plan(query, docs_together, log_context) + current_plan_parts = [] + yield {"thought": f"Reasoning... (iteration {iterating_reasoning})\n\n"} + for line_chunk in plan_stream: + current_plan_parts.append(line_chunk) + yield {"thought": line_chunk} + self.plan = "".join(current_plan_parts) + if self.plan: + self.observations.append(f"Plan: {self.plan} Iteration: {iterating_reasoning}") + + + max_obs_len = 20000 + obs_str = "\n".join(self.observations) + if len(obs_str) > max_obs_len: + obs_str = obs_str[:max_obs_len] + "\n...[observations truncated]" + execution_prompt_str = ( + (self.prompt or "") + + f"\n\nFollow this plan:\n{self.plan}" + + f"\n\nObservations:\n{obs_str}" + + f"\n\nIf there is enough data to complete user query '{query}', Respond with 'SATISFIED' only. Otherwise, continue. Dont Menstion 'SATISFIED' in your response if you are not ready. " + ) + + messages = self._build_messages(execution_prompt_str, query, retrieved_data) + + resp_from_llm_gen = self._llm_gen(messages, log_context) + + initial_llm_thought_content = self._extract_content_from_llm_response(resp_from_llm_gen) + if initial_llm_thought_content: + self.observations.append(f"Initial thought/response: {initial_llm_thought_content}") + else: + logger.info("ReActAgent: Initial LLM response (before handler) had no textual content (might be only tool calls).") + resp_after_handler = self._llm_handler(resp_from_llm_gen, tools_dict, messages, log_context) + + for tool_call_info in self.tool_calls: # Iterate over self.tool_calls populated by _llm_handler + observation_string = ( + f"Executed Action: Tool '{tool_call_info.get('tool_name', 'N/A')}' " + f"with arguments '{tool_call_info.get('arguments', '{}')}'. Result: '{str(tool_call_info.get('result', ''))[:200]}...'" + ) + self.observations.append(observation_string) + + content_after_handler = self._extract_content_from_llm_response(resp_after_handler) + if content_after_handler: + self.observations.append(f"Response after tool execution: {content_after_handler}") + else: + logger.info("ReActAgent: LLM response after handler had no textual content.") + + if log_context: + log_context.stacks.append( + {"component": "agent_tool_calls", "data": {"tool_calls": self.tool_calls.copy()}} + ) + + yield {"sources": retrieved_data} + + display_tool_calls = [] + for tc in self.tool_calls: + cleaned_tc = tc.copy() + if len(str(cleaned_tc.get("result", ""))) > 50: + cleaned_tc["result"] = str(cleaned_tc["result"])[:50] + "..." + display_tool_calls.append(cleaned_tc) + if display_tool_calls: + yield {"tool_calls": display_tool_calls} + + if "SATISFIED" in content_after_handler: + logger.info("ReActAgent: LLM satisfied with the plan and data. Stopping reasoning.") + break + + # 3. Create Final Answer based on all observations + final_answer_stream = self._create_final_answer(query, self.observations, log_context) + for answer_chunk in final_answer_stream: + yield {"answer": answer_chunk} + logger.info("ReActAgent: Finished generating final answer.") + + def _create_plan( + self, query: str, docs_data: str, log_context: LogContext = None + ) -> Generator[str, None, None]: + plan_prompt_filled = planning_prompt_template.replace("{query}", query) + if "{summaries}" in plan_prompt_filled: + summaries = docs_data if docs_data else "No documents retrieved." + plan_prompt_filled = plan_prompt_filled.replace("{summaries}", summaries) + plan_prompt_filled = plan_prompt_filled.replace("{prompt}", self.prompt or "") + plan_prompt_filled = plan_prompt_filled.replace("{observations}", "\n".join(self.observations)) + + messages = [{"role": "user", "content": plan_prompt_filled}] + + plan_stream_from_llm = self.llm.gen_stream( + model=self.gpt_model, messages=messages, tools=getattr(self, 'tools', None) # Use self.tools + ) + if log_context: + data = build_stack_data(self.llm) + log_context.stacks.append({"component": "planning_llm", "data": data}) + + for chunk in plan_stream_from_llm: + content_piece = self._extract_content_from_llm_response(chunk) + if content_piece: + yield content_piece + + def _create_final_answer( + self, query: str, observations: List[str], log_context: LogContext = None + ) -> Generator[str, None, None]: + observation_string = "\n".join(observations) + max_obs_len = 10000 + if len(observation_string) > max_obs_len: + observation_string = observation_string[:max_obs_len] + "\n...[observations truncated]" + logger.warning("ReActAgent: Truncated observations for final answer prompt due to length.") + + final_answer_prompt_filled = final_prompt_template.format( + query=query, observations=observation_string + ) + + messages = [{"role": "user", "content": final_answer_prompt_filled}] + + # Final answer should synthesize, not call tools. + final_answer_stream_from_llm = self.llm.gen_stream( + model=self.gpt_model, messages=messages, tools=None + ) + if log_context: + data = build_stack_data(self.llm) + log_context.stacks.append({"component": "final_answer_llm", "data": data}) + + for chunk in final_answer_stream_from_llm: + content_piece = self._extract_content_from_llm_response(chunk) + if content_piece: + yield content_piece \ No newline at end of file diff --git a/application/agents/tools/api_tool.py b/application/agents/tools/api_tool.py new file mode 100644 index 00000000..063313c4 --- /dev/null +++ b/application/agents/tools/api_tool.py @@ -0,0 +1,72 @@ +import json + +import requests +from application.agents.tools.base import Tool + + +class APITool(Tool): + """ + API Tool + A flexible tool for performing various API actions (e.g., sending messages, retrieving data) via custom user-specified APIs + """ + + def __init__(self, config): + self.config = config + self.url = config.get("url", "") + self.method = config.get("method", "GET") + self.headers = config.get("headers", {"Content-Type": "application/json"}) + self.query_params = config.get("query_params", {}) + + def execute_action(self, action_name, **kwargs): + return self._make_api_call( + self.url, self.method, self.headers, self.query_params, kwargs + ) + + def _make_api_call(self, url, method, headers, query_params, body): + if query_params: + url = f"{url}?{requests.compat.urlencode(query_params)}" + # if isinstance(body, dict): + # body = json.dumps(body) + try: + print(f"Making API call: {method} {url} with body: {body}") + if body == "{}": + body = None + response = requests.request(method, url, headers=headers, data=body) + response.raise_for_status() + content_type = response.headers.get( + "Content-Type", "application/json" + ).lower() + if "application/json" in content_type: + try: + data = response.json() + except json.JSONDecodeError as e: + print(f"Error decoding JSON: {e}. Raw response: {response.text}") + return { + "status_code": response.status_code, + "message": f"API call returned invalid JSON. Error: {e}", + "data": response.text, + } + elif "text/" in content_type or "application/xml" in content_type: + data = response.text + elif not response.content: + data = None + else: + print(f"Unsupported content type: {content_type}") + data = response.content + + return { + "status_code": response.status_code, + "data": data, + "message": "API call successful.", + } + except requests.exceptions.RequestException as e: + return { + "status_code": response.status_code if response else None, + "message": f"API call failed: {str(e)}", + } + + def get_actions_metadata(self): + return [] + + def get_config_requirements(self): + return {} diff --git a/application/agents/tools/base.py b/application/agents/tools/base.py new file mode 100644 index 00000000..fd7b4a85 --- /dev/null +++ b/application/agents/tools/base.py @@ -0,0 +1,21 @@ +from abc import ABC, abstractmethod + + +class Tool(ABC): + @abstractmethod + def execute_action(self, action_name: str, **kwargs): + pass + + @abstractmethod + def get_actions_metadata(self): + """ + Returns a list of JSON objects describing the actions supported by the tool. + """ + pass + + @abstractmethod + def get_config_requirements(self): + """ + Returns a dictionary describing the configuration requirements for the tool. + """ + pass diff --git a/application/agents/tools/brave.py b/application/agents/tools/brave.py new file mode 100644 index 00000000..1428bea4 --- /dev/null +++ b/application/agents/tools/brave.py @@ -0,0 +1,217 @@ +import requests +from application.agents.tools.base import Tool + + +class BraveSearchTool(Tool): + """ + Brave Search + A tool for performing web and image searches using the Brave Search API. + Requires an API key for authentication. + """ + + def __init__(self, config): + self.config = config + self.token = config.get("token", "") + self.base_url = "https://api.search.brave.com/res/v1" + + def execute_action(self, action_name, **kwargs): + actions = { + "brave_web_search": self._web_search, + "brave_image_search": self._image_search, + } + + if action_name in actions: + return actions[action_name](**kwargs) + else: + raise ValueError(f"Unknown action: {action_name}") + + def _web_search(self, query, country="ALL", search_lang="en", count=10, + offset=0, safesearch="off", freshness=None, + result_filter=None, extra_snippets=False, summary=False): + """ + Performs a web search using the Brave Search API. + """ + print(f"Performing Brave web search for: {query}") + + url = f"{self.base_url}/web/search" + + # Build query parameters + params = { + "q": query, + "country": country, + "search_lang": search_lang, + "count": min(count, 20), + "offset": min(offset, 9), + "safesearch": safesearch + } + + # Add optional parameters only if they have values + if freshness: + params["freshness"] = freshness + if result_filter: + params["result_filter"] = result_filter + if extra_snippets: + params["extra_snippets"] = 1 + if summary: + params["summary"] = 1 + + # Set up headers + headers = { + "Accept": "application/json", + "Accept-Encoding": "gzip", + "X-Subscription-Token": self.token + } + + # Make the request + response = requests.get(url, params=params, headers=headers) + + if response.status_code == 200: + return { + "status_code": response.status_code, + "results": response.json(), + "message": "Search completed successfully." + } + else: + return { + "status_code": response.status_code, + "message": f"Search failed with status code: {response.status_code}." + } + + def _image_search(self, query, country="ALL", search_lang="en", count=5, + safesearch="off", spellcheck=False): + """ + Performs an image search using the Brave Search API. + """ + print(f"Performing Brave image search for: {query}") + + url = f"{self.base_url}/images/search" + + # Build query parameters + params = { + "q": query, + "country": country, + "search_lang": search_lang, + "count": min(count, 100), # API max is 100 + "safesearch": safesearch, + "spellcheck": 1 if spellcheck else 0 + } + + # Set up headers + headers = { + "Accept": "application/json", + "Accept-Encoding": "gzip", + "X-Subscription-Token": self.token + } + + # Make the request + response = requests.get(url, params=params, headers=headers) + + if response.status_code == 200: + return { + "status_code": response.status_code, + "results": response.json(), + "message": "Image search completed successfully." + } + else: + return { + "status_code": response.status_code, + "message": f"Image search failed with status code: {response.status_code}." + } + + def get_actions_metadata(self): + return [ + { + "name": "brave_web_search", + "description": "Perform a web search using Brave Search", + "parameters": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The search query (max 400 characters, 50 words)", + }, + # "country": { + # "type": "string", + # "description": "The 2-character country code (default: US)", + # }, + "search_lang": { + "type": "string", + "description": "The search language preference (default: en)", + }, + # "count": { + # "type": "integer", + # "description": "Number of results to return (max 20, default: 10)", + # }, + # "offset": { + # "type": "integer", + # "description": "Pagination offset (max 9, default: 0)", + # }, + # "safesearch": { + # "type": "string", + # "description": "Filter level for adult content (off, moderate, strict)", + # }, + "freshness": { + "type": "string", + "description": "Time filter for results (pd: last 24h, pw: last week, pm: last month, py: last year)", + }, + # "result_filter": { + # "type": "string", + # "description": "Comma-delimited list of result types to include", + # }, + # "extra_snippets": { + # "type": "boolean", + # "description": "Get additional excerpts from result pages", + # }, + # "summary": { + # "type": "boolean", + # "description": "Enable summary generation in search results", + # } + }, + "required": ["query"], + "additionalProperties": False, + }, + }, + { + "name": "brave_image_search", + "description": "Perform an image search using Brave Search", + "parameters": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The search query (max 400 characters, 50 words)", + }, + # "country": { + # "type": "string", + # "description": "The 2-character country code (default: US)", + # }, + # "search_lang": { + # "type": "string", + # "description": "The search language preference (default: en)", + # }, + "count": { + "type": "integer", + "description": "Number of results to return (max 100, default: 5)", + }, + # "safesearch": { + # "type": "string", + # "description": "Filter level for adult content (off, strict). Default: strict", + # }, + # "spellcheck": { + # "type": "boolean", + # "description": "Whether to spellcheck provided query (default: true)", + # } + }, + "required": ["query"], + "additionalProperties": False, + }, + } + ] + + def get_config_requirements(self): + return { + "token": { + "type": "string", + "description": "Brave Search API key for authentication" + }, + } \ No newline at end of file diff --git a/application/agents/tools/cryptoprice.py b/application/agents/tools/cryptoprice.py new file mode 100644 index 00000000..c25c3d43 --- /dev/null +++ b/application/agents/tools/cryptoprice.py @@ -0,0 +1,76 @@ +import requests +from application.agents.tools.base import Tool + + +class CryptoPriceTool(Tool): + """ + CryptoPrice + A tool for retrieving cryptocurrency prices using the CryptoCompare public API + """ + + def __init__(self, config): + self.config = config + + def execute_action(self, action_name, **kwargs): + actions = {"cryptoprice_get": self._get_price} + + if action_name in actions: + return actions[action_name](**kwargs) + else: + raise ValueError(f"Unknown action: {action_name}") + + def _get_price(self, symbol, currency): + """ + Fetches the current price of a given cryptocurrency symbol in the specified currency. + Example: + symbol = "BTC" + currency = "USD" + returns price in USD. + """ + url = f"https://min-api.cryptocompare.com/data/price?fsym={symbol.upper()}&tsyms={currency.upper()}" + response = requests.get(url) + if response.status_code == 200: + data = response.json() + if currency.upper() in data: + return { + "status_code": response.status_code, + "price": data[currency.upper()], + "message": f"Price of {symbol.upper()} in {currency.upper()} retrieved successfully.", + } + else: + return { + "status_code": response.status_code, + "message": f"Couldn't find price for {symbol.upper()} in {currency.upper()}.", + } + else: + return { + "status_code": response.status_code, + "message": "Failed to retrieve price.", + } + + def get_actions_metadata(self): + return [ + { + "name": "cryptoprice_get", + "description": "Retrieve the price of a specified cryptocurrency in a given currency", + "parameters": { + "type": "object", + "properties": { + "symbol": { + "type": "string", + "description": "The cryptocurrency symbol (e.g. BTC)", + }, + "currency": { + "type": "string", + "description": "The currency in which you want the price (e.g. USD)", + }, + }, + "required": ["symbol", "currency"], + "additionalProperties": False, + }, + } + ] + + def get_config_requirements(self): + # No specific configuration needed for this tool as it just queries a public endpoint + return {} diff --git a/application/agents/tools/ntfy.py b/application/agents/tools/ntfy.py new file mode 100644 index 00000000..e968dfc4 --- /dev/null +++ b/application/agents/tools/ntfy.py @@ -0,0 +1,127 @@ +import requests +from application.agents.tools.base import Tool + +class NtfyTool(Tool): + """ + Ntfy Tool + A tool for sending notifications to ntfy topics on a specified server. + """ + + def __init__(self, config): + """ + Initialize the NtfyTool with configuration. + + Args: + config (dict): Configuration dictionary containing the access token. + """ + self.config = config + self.token = config.get("token", "") + + def execute_action(self, action_name, **kwargs): + """ + Execute the specified action with given parameters. + + Args: + action_name (str): Name of the action to execute. + **kwargs: Parameters for the action, including server_url. + + Returns: + dict: Result of the action with status code and message. + + Raises: + ValueError: If the action name is unknown. + """ + actions = { + "ntfy_send_message": self._send_message, + } + if action_name in actions: + return actions[action_name](**kwargs) + else: + raise ValueError(f"Unknown action: {action_name}") + + def _send_message(self, server_url, message, topic, title=None, priority=None): + """ + Send a message to an ntfy topic on the specified server. + + Args: + server_url (str): Base URL of the ntfy server (e.g., https://ntfy.sh). + message (str): The message text to send. + topic (str): The topic to send the message to. + title (str, optional): Title of the notification. + priority (int, optional): Priority of the notification (1-5). + + Returns: + dict: Response with status code and a confirmation message. + + Raises: + ValueError: If priority is not an integer between 1 and 5. + """ + url = f"{server_url.rstrip('/')}/{topic}" + headers = {} + if title: + headers["X-Title"] = title + if priority: + try: + priority = int(priority) + except (ValueError, TypeError): + raise ValueError("Priority must be convertible to an integer") + if priority < 1 or priority > 5: + raise ValueError("Priority must be an integer between 1 and 5") + headers["X-Priority"] = str(priority) + if self.token: + headers["Authorization"] = f"Basic {self.token}" + data = message.encode("utf-8") + response = requests.post(url, headers=headers, data=data) + return {"status_code": response.status_code, "message": "Message sent"} + + def get_actions_metadata(self): + """ + Provide metadata about available actions. + + Returns: + list: List of dictionaries describing each action. + """ + return [ + { + "name": "ntfy_send_message", + "description": "Send a notification to an ntfy topic", + "parameters": { + "type": "object", + "properties": { + "server_url": { + "type": "string", + "description": "Base URL of the ntfy server", + }, + "message": { + "type": "string", + "description": "Text to send in the notification", + }, + "topic": { + "type": "string", + "description": "Topic to send the notification to", + }, + "title": { + "type": "string", + "description": "Title of the notification (optional)", + }, + "priority": { + "type": "integer", + "description": "Priority of the notification (1-5, optional)", + }, + }, + "required": ["server_url", "message", "topic"], + "additionalProperties": False, + }, + }, + ] + + def get_config_requirements(self): + """ + Specify the configuration requirements. + + Returns: + dict: Dictionary describing required config parameters. + """ + return { + "token": {"type": "string", "description": "Access token for authentication"}, + } \ No newline at end of file diff --git a/application/agents/tools/postgres.py b/application/agents/tools/postgres.py new file mode 100644 index 00000000..2877ebad --- /dev/null +++ b/application/agents/tools/postgres.py @@ -0,0 +1,163 @@ +import psycopg2 +from application.agents.tools.base import Tool + +class PostgresTool(Tool): + """ + PostgreSQL Database Tool + A tool for connecting to a PostgreSQL database using a connection string, + executing SQL queries, and retrieving schema information. + """ + + def __init__(self, config): + self.config = config + self.connection_string = config.get("token", "") + + def execute_action(self, action_name, **kwargs): + actions = { + "postgres_execute_sql": self._execute_sql, + "postgres_get_schema": self._get_schema, + } + + if action_name in actions: + return actions[action_name](**kwargs) + else: + raise ValueError(f"Unknown action: {action_name}") + + def _execute_sql(self, sql_query): + """ + Executes an SQL query against the PostgreSQL database using a connection string. + """ + conn = None # Initialize conn to None for error handling + try: + conn = psycopg2.connect(self.connection_string) + cur = conn.cursor() + cur.execute(sql_query) + conn.commit() + + if sql_query.strip().lower().startswith("select"): + column_names = [desc[0] for desc in cur.description] if cur.description else [] + results = [] + rows = cur.fetchall() + for row in rows: + results.append(dict(zip(column_names, row))) + response_data = {"data": results, "column_names": column_names} + else: + row_count = cur.rowcount + response_data = {"message": f"Query executed successfully, {row_count} rows affected."} + + cur.close() + return { + "status_code": 200, + "message": "SQL query executed successfully.", + "response_data": response_data, + } + + except psycopg2.Error as e: + error_message = f"Database error: {e}" + print(f"Database error: {e}") + return { + "status_code": 500, + "message": "Failed to execute SQL query.", + "error": error_message, + } + finally: + if conn: # Ensure connection is closed even if errors occur + conn.close() + + def _get_schema(self, db_name): + """ + Retrieves the schema of the PostgreSQL database using a connection string. + """ + conn = None # Initialize conn to None for error handling + try: + conn = psycopg2.connect(self.connection_string) + cur = conn.cursor() + + cur.execute(""" + SELECT + table_name, + column_name, + data_type, + column_default, + is_nullable + FROM + information_schema.columns + WHERE + table_schema = 'public' + ORDER BY + table_name, + ordinal_position; + """) + + schema_data = {} + for row in cur.fetchall(): + table_name, column_name, data_type, column_default, is_nullable = row + if table_name not in schema_data: + schema_data[table_name] = [] + schema_data[table_name].append({ + "column_name": column_name, + "data_type": data_type, + "column_default": column_default, + "is_nullable": is_nullable + }) + + cur.close() + return { + "status_code": 200, + "message": "Database schema retrieved successfully.", + "schema": schema_data, + } + + except psycopg2.Error as e: + error_message = f"Database error: {e}" + print(f"Database error: {e}") + return { + "status_code": 500, + "message": "Failed to retrieve database schema.", + "error": error_message, + } + finally: + if conn: # Ensure connection is closed even if errors occur + conn.close() + + def get_actions_metadata(self): + return [ + { + "name": "postgres_execute_sql", + "description": "Execute an SQL query against the PostgreSQL database and return the results. Use this tool to interact with the database, e.g., retrieve specific data or perform updates. Only SELECT queries will return data, other queries will return execution status.", + "parameters": { + "type": "object", + "properties": { + "sql_query": { + "type": "string", + "description": "The SQL query to execute.", + }, + }, + "required": ["sql_query"], + "additionalProperties": False, + }, + }, + { + "name": "postgres_get_schema", + "description": "Retrieve the schema of the PostgreSQL database, including tables and their columns. Use this to understand the database structure before executing queries. db_name is 'default' if not provided.", + "parameters": { + "type": "object", + "properties": { + "db_name": { + "type": "string", + "description": "The name of the database to retrieve the schema for.", + }, + }, + "required": ["db_name"], + "additionalProperties": False, + }, + }, + ] + + def get_config_requirements(self): + return { + "token": { + "type": "string", + "description": "PostgreSQL database connection string (e.g., 'postgresql://user:password@host:port/dbname')", + }, + } \ No newline at end of file diff --git a/application/agents/tools/read_webpage.py b/application/agents/tools/read_webpage.py new file mode 100644 index 00000000..e87c79e3 --- /dev/null +++ b/application/agents/tools/read_webpage.py @@ -0,0 +1,83 @@ +import requests +from markdownify import markdownify +from application.agents.tools.base import Tool +from urllib.parse import urlparse + +class ReadWebpageTool(Tool): + """ + Read Webpage (browser) + A tool to fetch the HTML content of a URL and convert it to Markdown. + """ + + def __init__(self, config=None): + """ + Initializes the tool. + :param config: Optional configuration dictionary. Not used by this tool. + """ + self.config = config + + def execute_action(self, action_name: str, **kwargs) -> str: + """ + Executes the specified action. For this tool, the only action is 'read_webpage'. + + :param action_name: The name of the action to execute. Should be 'read_webpage'. + :param kwargs: Keyword arguments, must include 'url'. + :return: The Markdown content of the webpage or an error message. + """ + if action_name != "read_webpage": + return f"Error: Unknown action '{action_name}'. This tool only supports 'read_webpage'." + + url = kwargs.get("url") + if not url: + return "Error: URL parameter is missing." + + # Ensure the URL has a scheme (if not, default to http) + parsed_url = urlparse(url) + if not parsed_url.scheme: + url = "http://" + url + + try: + response = requests.get(url, timeout=10, headers={'User-Agent': 'DocsGPT-Agent/1.0'}) + response.raise_for_status() # Raise an exception for HTTP errors (4xx or 5xx) + + html_content = response.text + #soup = BeautifulSoup(html_content, 'html.parser') + + + markdown_content = markdownify(html_content, heading_style="ATX", newline_style="BACKSLASH") + + return markdown_content + + except requests.exceptions.RequestException as e: + return f"Error fetching URL {url}: {e}" + except Exception as e: + return f"Error processing URL {url}: {e}" + + def get_actions_metadata(self): + """ + Returns metadata for the actions supported by this tool. + """ + return [ + { + "name": "read_webpage", + "description": "Fetches the HTML content of a given URL and returns it as clean Markdown text. Input must be a valid URL.", + "parameters": { + "type": "object", + "properties": { + "url": { + "type": "string", + "description": "The fully qualified URL of the webpage to read (e.g., 'https://www.example.com').", + } + }, + "required": ["url"], + "additionalProperties": False, + }, + } + ] + + def get_config_requirements(self): + """ + Returns a dictionary describing the configuration requirements for the tool. + This tool does not require any specific configuration. + """ + return {} diff --git a/application/agents/tools/telegram.py b/application/agents/tools/telegram.py new file mode 100644 index 00000000..06350ae9 --- /dev/null +++ b/application/agents/tools/telegram.py @@ -0,0 +1,86 @@ +import requests +from application.agents.tools.base import Tool + + +class TelegramTool(Tool): + """ + Telegram Bot + A flexible Telegram tool for performing various actions (e.g., sending messages, images). + Requires a bot token and chat ID for configuration + """ + + def __init__(self, config): + self.config = config + self.token = config.get("token", "") + + def execute_action(self, action_name, **kwargs): + actions = { + "telegram_send_message": self._send_message, + "telegram_send_image": self._send_image, + } + + if action_name in actions: + return actions[action_name](**kwargs) + else: + raise ValueError(f"Unknown action: {action_name}") + + def _send_message(self, text, chat_id): + print(f"Sending message: {text}") + url = f"https://api.telegram.org/bot{self.token}/sendMessage" + payload = {"chat_id": chat_id, "text": text} + response = requests.post(url, data=payload) + return {"status_code": response.status_code, "message": "Message sent"} + + def _send_image(self, image_url, chat_id): + print(f"Sending image: {image_url}") + url = f"https://api.telegram.org/bot{self.token}/sendPhoto" + payload = {"chat_id": chat_id, "photo": image_url} + response = requests.post(url, data=payload) + return {"status_code": response.status_code, "message": "Image sent"} + + def get_actions_metadata(self): + return [ + { + "name": "telegram_send_message", + "description": "Send a notification to Telegram chat", + "parameters": { + "type": "object", + "properties": { + "text": { + "type": "string", + "description": "Text to send in the notification", + }, + "chat_id": { + "type": "string", + "description": "Chat ID to send the notification to", + }, + }, + "required": ["text"], + "additionalProperties": False, + }, + }, + { + "name": "telegram_send_image", + "description": "Send an image to the Telegram chat", + "parameters": { + "type": "object", + "properties": { + "image_url": { + "type": "string", + "description": "URL of the image to send", + }, + "chat_id": { + "type": "string", + "description": "Chat ID to send the image to", + }, + }, + "required": ["image_url"], + "additionalProperties": False, + }, + }, + ] + + def get_config_requirements(self): + return { + "token": {"type": "string", "description": "Bot token for authentication"}, + } diff --git a/application/agents/tools/tool_action_parser.py b/application/agents/tools/tool_action_parser.py new file mode 100644 index 00000000..0589ac88 --- /dev/null +++ b/application/agents/tools/tool_action_parser.py @@ -0,0 +1,37 @@ +import json +import logging + +logger = logging.getLogger(__name__) + + +class ToolActionParser: + def __init__(self, llm_type): + self.llm_type = llm_type + self.parsers = { + "OpenAILLM": self._parse_openai_llm, + "GoogleLLM": self._parse_google_llm, + } + + def parse_args(self, call): + parser = self.parsers.get(self.llm_type, self._parse_openai_llm) + return parser(call) + + def _parse_openai_llm(self, call): + try: + call_args = json.loads(call.arguments) + tool_id = call.name.split("_")[-1] + action_name = call.name.rsplit("_", 1)[0] + except (AttributeError, TypeError) as e: + logger.error(f"Error parsing OpenAI LLM call: {e}") + return None, None, None + return tool_id, action_name, call_args + + def _parse_google_llm(self, call): + try: + call_args = call.arguments + tool_id = call.name.split("_")[-1] + action_name = call.name.rsplit("_", 1)[0] + except (AttributeError, TypeError) as e: + logger.error(f"Error parsing Google LLM call: {e}") + return None, None, None + return tool_id, action_name, call_args diff --git a/application/agents/tools/tool_manager.py b/application/agents/tools/tool_manager.py new file mode 100644 index 00000000..ad71db28 --- /dev/null +++ b/application/agents/tools/tool_manager.py @@ -0,0 +1,42 @@ +import importlib +import inspect +import os +import pkgutil + +from application.agents.tools.base import Tool + + +class ToolManager: + def __init__(self, config): + self.config = config + self.tools = {} + self.load_tools() + + def load_tools(self): + tools_dir = os.path.join(os.path.dirname(__file__)) + for finder, name, ispkg in pkgutil.iter_modules([tools_dir]): + if name == "base" or name.startswith("__"): + continue + module = importlib.import_module(f"application.agents.tools.{name}") + for member_name, obj in inspect.getmembers(module, inspect.isclass): + if issubclass(obj, Tool) and obj is not Tool: + tool_config = self.config.get(name, {}) + self.tools[name] = obj(tool_config) + + def load_tool(self, tool_name, tool_config): + self.config[tool_name] = tool_config + module = importlib.import_module(f"application.agents.tools.{tool_name}") + for member_name, obj in inspect.getmembers(module, inspect.isclass): + if issubclass(obj, Tool) and obj is not Tool: + return obj(tool_config) + + def execute_action(self, tool_name, action_name, **kwargs): + if tool_name not in self.tools: + raise ValueError(f"Tool '{tool_name}' not loaded") + return self.tools[tool_name].execute_action(action_name, **kwargs) + + def get_all_actions_metadata(self): + metadata = [] + for tool in self.tools.values(): + metadata.extend(tool.get_actions_metadata()) + return metadata diff --git a/application/api/__init__.py b/application/api/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/api/answer/__init__.py b/application/api/answer/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/api/answer/routes.py b/application/api/answer/routes.py new file mode 100644 index 00000000..469ea98c --- /dev/null +++ b/application/api/answer/routes.py @@ -0,0 +1,914 @@ +import asyncio +import datetime +import json +import logging +import os +import traceback + +from bson.dbref import DBRef +from bson.objectid import ObjectId +from flask import Blueprint, make_response, request, Response +from flask_restx import fields, Namespace, Resource + +from application.agents.agent_creator import AgentCreator + +from application.core.mongo_db import MongoDB +from application.core.settings import settings +from application.error import bad_request +from application.extensions import api +from application.llm.llm_creator import LLMCreator +from application.retriever.retriever_creator import RetrieverCreator +from application.utils import check_required_fields, limit_chat_history + +logger = logging.getLogger(__name__) + +mongo = MongoDB.get_client() +db = mongo[settings.MONGO_DB_NAME] +conversations_collection = db["conversations"] +sources_collection = db["sources"] +prompts_collection = db["prompts"] +agents_collection = db["agents"] +user_logs_collection = db["user_logs"] +attachments_collection = db["attachments"] + +answer = Blueprint("answer", __name__) +answer_ns = Namespace("answer", description="Answer related operations", path="/") +api.add_namespace(answer_ns) + +gpt_model = "" +# to have some kind of default behaviour +if settings.LLM_PROVIDER == "openai": + gpt_model = "gpt-4o-mini" +elif settings.LLM_PROVIDER == "anthropic": + gpt_model = "claude-2" +elif settings.LLM_PROVIDER == "groq": + gpt_model = "llama3-8b-8192" +elif settings.LLM_PROVIDER == "novita": + gpt_model = "deepseek/deepseek-r1" + +if settings.LLM_NAME: # in case there is particular model name configured + gpt_model = settings.LLM_NAME + +# load the prompts +current_dir = os.path.dirname( + os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +) +with open(os.path.join(current_dir, "prompts", "chat_combine_default.txt"), "r") as f: + chat_combine_template = f.read() + +with open(os.path.join(current_dir, "prompts", "chat_reduce_prompt.txt"), "r") as f: + chat_reduce_template = f.read() + +with open(os.path.join(current_dir, "prompts", "chat_combine_creative.txt"), "r") as f: + chat_combine_creative = f.read() + +with open(os.path.join(current_dir, "prompts", "chat_combine_strict.txt"), "r") as f: + chat_combine_strict = f.read() + +api_key_set = settings.API_KEY is not None +embeddings_key_set = settings.EMBEDDINGS_KEY is not None + + +async def async_generate(chain, question, chat_history): + result = await chain.arun({"question": question, "chat_history": chat_history}) + return result + + +def run_async_chain(chain, question, chat_history): + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + result = {} + try: + answer = loop.run_until_complete(async_generate(chain, question, chat_history)) + finally: + loop.close() + result["answer"] = answer + return result + + +def get_agent_key(agent_id, user_id): + if not agent_id: + return None, False, None + + try: + agent = agents_collection.find_one({"_id": ObjectId(agent_id)}) + if agent is None: + raise Exception("Agent not found", 404) + + is_owner = agent.get("user") == user_id + + if is_owner: + agents_collection.update_one( + {"_id": ObjectId(agent_id)}, + {"$set": {"lastUsedAt": datetime.datetime.now(datetime.timezone.utc)}}, + ) + return str(agent["key"]), False, None + + is_shared_with_user = agent.get( + "shared_publicly", False + ) or user_id in agent.get("shared_with", []) + + if is_shared_with_user: + return str(agent["key"]), True, agent.get("shared_token") + + raise Exception("Unauthorized access to the agent", 403) + + except Exception as e: + logger.error(f"Error in get_agent_key: {str(e)}", exc_info=True) + raise + + +def get_data_from_api_key(api_key): + data = agents_collection.find_one({"key": api_key}) + if not data: + raise Exception("Invalid API Key, please generate a new key", 401) + + source = data.get("source") + if isinstance(source, DBRef): + source_doc = db.dereference(source) + data["source"] = str(source_doc["_id"]) + data["retriever"] = source_doc.get("retriever", data.get("retriever")) + else: + data["source"] = {} + + return data + + +def get_retriever(source_id: str): + doc = sources_collection.find_one({"_id": ObjectId(source_id)}) + if doc is None: + raise Exception("Source document does not exist", 404) + retriever_name = None if "retriever" not in doc else doc["retriever"] + return retriever_name + + +def is_azure_configured(): + return ( + settings.OPENAI_API_BASE + and settings.OPENAI_API_VERSION + and settings.AZURE_DEPLOYMENT_NAME + ) + + +def save_conversation( + conversation_id, + question, + response, + thought, + source_log_docs, + tool_calls, + llm, + decoded_token, + index=None, + api_key=None, + agent_id=None, + is_shared_usage=False, + shared_token=None, + attachment_ids=None, +): + current_time = datetime.datetime.now(datetime.timezone.utc) + if conversation_id is not None and index is not None: + conversations_collection.update_one( + {"_id": ObjectId(conversation_id), f"queries.{index}": {"$exists": True}}, + { + "$set": { + f"queries.{index}.prompt": question, + f"queries.{index}.response": response, + f"queries.{index}.thought": thought, + f"queries.{index}.sources": source_log_docs, + f"queries.{index}.tool_calls": tool_calls, + f"queries.{index}.timestamp": current_time, + f"queries.{index}.attachments": attachment_ids, + } + }, + ) + ##remove following queries from the array + conversations_collection.update_one( + {"_id": ObjectId(conversation_id), f"queries.{index}": {"$exists": True}}, + {"$push": {"queries": {"$each": [], "$slice": index + 1}}}, + ) + elif conversation_id is not None and conversation_id != "None": + conversations_collection.update_one( + {"_id": ObjectId(conversation_id)}, + { + "$push": { + "queries": { + "prompt": question, + "response": response, + "thought": thought, + "sources": source_log_docs, + "tool_calls": tool_calls, + "timestamp": current_time, + "attachments": attachment_ids, + } + } + }, + ) + + else: + # create new conversation + # generate summary + messages_summary = [ + { + "role": "assistant", + "content": "Summarise following conversation in no more than 3 " + "words, respond ONLY with the summary, use the same " + "language as the system", + }, + { + "role": "user", + "content": "Summarise following conversation in no more than 3 words, " + "respond ONLY with the summary, use the same language as the " + "system \n\nUser: " + question + "\n\n" + "AI: " + response, + }, + ] + + completion = llm.gen(model=gpt_model, messages=messages_summary, max_tokens=30) + conversation_data = { + "user": decoded_token.get("sub"), + "date": datetime.datetime.utcnow(), + "name": completion, + "queries": [ + { + "prompt": question, + "response": response, + "thought": thought, + "sources": source_log_docs, + "tool_calls": tool_calls, + "timestamp": current_time, + "attachments": attachment_ids, + } + ], + } + if api_key: + if agent_id: + conversation_data["agent_id"] = agent_id + if is_shared_usage: + conversation_data["is_shared_usage"] = is_shared_usage + conversation_data["shared_token"] = shared_token + api_key_doc = agents_collection.find_one({"key": api_key}) + if api_key_doc: + conversation_data["api_key"] = api_key_doc["key"] + conversation_id = conversations_collection.insert_one( + conversation_data + ).inserted_id + return conversation_id + + +def get_prompt(prompt_id): + if prompt_id == "default": + prompt = chat_combine_template + elif prompt_id == "creative": + prompt = chat_combine_creative + elif prompt_id == "strict": + prompt = chat_combine_strict + else: + prompt = prompts_collection.find_one({"_id": ObjectId(prompt_id)})["content"] + return prompt + + +def complete_stream( + question, + agent, + retriever, + conversation_id, + user_api_key, + decoded_token, + isNoneDoc=False, + index=None, + should_save_conversation=True, + attachment_ids=None, + agent_id=None, + is_shared_usage=False, + shared_token=None, +): + try: + response_full, thought, source_log_docs, tool_calls = "", "", [], [] + + answer = agent.gen(query=question, retriever=retriever) + + for line in answer: + if "answer" in line: + response_full += str(line["answer"]) + data = json.dumps({"type": "answer", "answer": line["answer"]}) + yield f"data: {data}\n\n" + elif "sources" in line: + truncated_sources = [] + source_log_docs = line["sources"] + for source in line["sources"]: + truncated_source = source.copy() + if "text" in truncated_source: + truncated_source["text"] = ( + truncated_source["text"][:100].strip() + "..." + ) + truncated_sources.append(truncated_source) + if len(truncated_sources) > 0: + data = json.dumps({"type": "source", "source": truncated_sources}) + yield f"data: {data}\n\n" + elif "tool_calls" in line: + tool_calls = line["tool_calls"] + elif "thought" in line: + thought += line["thought"] + data = json.dumps({"type": "thought", "thought": line["thought"]}) + yield f"data: {data}\n\n" + elif "type" in line: + data = json.dumps(line) + yield f"data: {data}\n\n" + + if isNoneDoc: + for doc in source_log_docs: + doc["source"] = "None" + + llm = LLMCreator.create_llm( + settings.LLM_PROVIDER, + api_key=settings.API_KEY, + user_api_key=user_api_key, + decoded_token=decoded_token, + ) + + if should_save_conversation: + conversation_id = save_conversation( + conversation_id, + question, + response_full, + thought, + source_log_docs, + tool_calls, + llm, + decoded_token, + index, + api_key=user_api_key, + attachment_ids=attachment_ids, + agent_id=agent_id, + is_shared_usage=is_shared_usage, + shared_token=shared_token, + ) + else: + conversation_id = None + + # send data.type = "end" to indicate that the stream has ended as json + data = json.dumps({"type": "id", "id": str(conversation_id)}) + yield f"data: {data}\n\n" + + retriever_params = retriever.get_params() + user_logs_collection.insert_one( + { + "action": "stream_answer", + "level": "info", + "user": decoded_token.get("sub"), + "api_key": user_api_key, + "question": question, + "response": response_full, + "sources": source_log_docs, + "retriever_params": retriever_params, + "attachments": attachment_ids, + "timestamp": datetime.datetime.now(datetime.timezone.utc), + } + ) + data = json.dumps({"type": "end"}) + yield f"data: {data}\n\n" + except Exception as e: + logger.error(f"Error in stream: {str(e)}", exc_info=True) + data = json.dumps( + { + "type": "error", + "error": "Please try again later. We apologize for any inconvenience.", + } + ) + yield f"data: {data}\n\n" + return + + +@answer_ns.route("/stream") +class Stream(Resource): + stream_model = api.model( + "StreamModel", + { + "question": fields.String( + required=True, description="Question to be asked" + ), + "history": fields.List( + fields.String, required=False, description="Chat history" + ), + "conversation_id": fields.String( + required=False, description="Conversation ID" + ), + "prompt_id": fields.String( + required=False, default="default", description="Prompt ID" + ), + "chunks": fields.Integer( + required=False, default=2, description="Number of chunks" + ), + "token_limit": fields.Integer(required=False, description="Token limit"), + "retriever": fields.String(required=False, description="Retriever type"), + "api_key": fields.String(required=False, description="API key"), + "active_docs": fields.String( + required=False, description="Active documents" + ), + "isNoneDoc": fields.Boolean( + required=False, description="Flag indicating if no document is used" + ), + "index": fields.Integer( + required=False, description="Index of the query to update" + ), + "save_conversation": fields.Boolean( + required=False, + default=True, + description="Whether to save the conversation", + ), + "attachments": fields.List( + fields.String, required=False, description="List of attachment IDs" + ), + }, + ) + + @api.expect(stream_model) + @api.doc(description="Stream a response based on the question and retriever") + def post(self): + data = request.get_json() + required_fields = ["question"] + if "index" in data: + required_fields = ["question", "conversation_id"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + + save_conv = data.get("save_conversation", True) + + try: + question = data["question"] + history = limit_chat_history( + json.loads(data.get("history", "[]")), gpt_model=gpt_model + ) + conversation_id = data.get("conversation_id") + prompt_id = data.get("prompt_id", "default") + attachment_ids = data.get("attachments", []) + + index = data.get("index", None) + chunks = int(data.get("chunks", 2)) + token_limit = data.get("token_limit", settings.DEFAULT_MAX_HISTORY) + retriever_name = data.get("retriever", "classic") + agent_id = data.get("agent_id", None) + agent_type = settings.AGENT_NAME + decoded_token = getattr(request, "decoded_token", None) + user_sub = decoded_token.get("sub") if decoded_token else None + agent_key, is_shared_usage, shared_token = get_agent_key(agent_id, user_sub) + + if agent_key: + data.update({"api_key": agent_key}) + else: + agent_id = None + + if "api_key" in data: + data_key = get_data_from_api_key(data["api_key"]) + chunks = int(data_key.get("chunks", 2)) + prompt_id = data_key.get("prompt_id", "default") + source = {"active_docs": data_key.get("source")} + retriever_name = data_key.get("retriever", retriever_name) + user_api_key = data["api_key"] + agent_type = data_key.get("agent_type", agent_type) + if is_shared_usage: + decoded_token = request.decoded_token + else: + decoded_token = {"sub": data_key.get("user")} + is_shared_usage = False + + elif "active_docs" in data: + source = {"active_docs": data["active_docs"]} + retriever_name = get_retriever(data["active_docs"]) or retriever_name + user_api_key = None + decoded_token = request.decoded_token + + else: + source = {} + user_api_key = None + decoded_token = request.decoded_token + + if not decoded_token: + return make_response({"error": "Unauthorized"}, 401) + + attachments = get_attachments_content( + attachment_ids, decoded_token.get("sub") + ) + + logger.info( + f"/stream - request_data: {data}, source: {source}, attachments: {len(attachments)}", + extra={"data": json.dumps({"request_data": data, "source": source})}, + ) + + prompt = get_prompt(prompt_id) + if "isNoneDoc" in data and data["isNoneDoc"] is True: + chunks = 0 + + agent = AgentCreator.create_agent( + agent_type, + endpoint="stream", + llm_name=settings.LLM_PROVIDER, + gpt_model=gpt_model, + api_key=settings.API_KEY, + user_api_key=user_api_key, + prompt=prompt, + chat_history=history, + decoded_token=decoded_token, + attachments=attachments, + ) + + retriever = RetrieverCreator.create_retriever( + retriever_name, + source=source, + chat_history=history, + prompt=prompt, + chunks=chunks, + token_limit=token_limit, + gpt_model=gpt_model, + user_api_key=user_api_key, + decoded_token=decoded_token, + ) + + return Response( + complete_stream( + question=question, + agent=agent, + retriever=retriever, + conversation_id=conversation_id, + user_api_key=user_api_key, + decoded_token=decoded_token, + isNoneDoc=data.get("isNoneDoc"), + index=index, + should_save_conversation=save_conv, + attachment_ids=attachment_ids, + agent_id=agent_id, + is_shared_usage=is_shared_usage, + shared_token=shared_token, + ), + mimetype="text/event-stream", + ) + + except ValueError: + message = "Malformed request body" + logger.error(f"/stream - error: {message}") + return Response( + error_stream_generate(message), + status=400, + mimetype="text/event-stream", + ) + except Exception as e: + logger.error( + f"/stream - error: {str(e)} - traceback: {traceback.format_exc()}", + extra={"error": str(e), "traceback": traceback.format_exc()}, + ) + status_code = 400 + return Response( + error_stream_generate("Unknown error occurred"), + status=status_code, + mimetype="text/event-stream", + ) + + +def error_stream_generate(err_response): + data = json.dumps({"type": "error", "error": err_response}) + yield f"data: {data}\n\n" + + +@answer_ns.route("/api/answer") +class Answer(Resource): + answer_model = api.model( + "AnswerModel", + { + "question": fields.String( + required=True, description="The question to answer" + ), + "history": fields.List( + fields.String, required=False, description="Conversation history" + ), + "conversation_id": fields.String( + required=False, description="Conversation ID" + ), + "prompt_id": fields.String( + required=False, default="default", description="Prompt ID" + ), + "chunks": fields.Integer( + required=False, default=2, description="Number of chunks" + ), + "token_limit": fields.Integer(required=False, description="Token limit"), + "retriever": fields.String(required=False, description="Retriever type"), + "api_key": fields.String(required=False, description="API key"), + "active_docs": fields.String( + required=False, description="Active documents" + ), + "isNoneDoc": fields.Boolean( + required=False, description="Flag indicating if no document is used" + ), + }, + ) + + @api.expect(answer_model) + @api.doc(description="Provide an answer based on the question and retriever") + def post(self): + data = request.get_json() + required_fields = ["question"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + + try: + question = data["question"] + history = limit_chat_history( + json.loads(data.get("history", [])), gpt_model=gpt_model + ) + conversation_id = data.get("conversation_id") + prompt_id = data.get("prompt_id", "default") + chunks = int(data.get("chunks", 2)) + token_limit = data.get("token_limit", settings.DEFAULT_MAX_HISTORY) + retriever_name = data.get("retriever", "classic") + agent_type = settings.AGENT_NAME + + if "api_key" in data: + data_key = get_data_from_api_key(data["api_key"]) + chunks = int(data_key.get("chunks", 2)) + prompt_id = data_key.get("prompt_id", "default") + source = {"active_docs": data_key.get("source")} + retriever_name = data_key.get("retriever", retriever_name) + user_api_key = data["api_key"] + agent_type = data_key.get("agent_type", agent_type) + decoded_token = {"sub": data_key.get("user")} + + elif "active_docs" in data: + source = {"active_docs": data["active_docs"]} + retriever_name = get_retriever(data["active_docs"]) or retriever_name + user_api_key = None + decoded_token = request.decoded_token + + else: + source = {} + user_api_key = None + decoded_token = request.decoded_token + + if not decoded_token: + return make_response({"error": "Unauthorized"}, 401) + + prompt = get_prompt(prompt_id) + + logger.info( + f"/api/answer - request_data: {data}, source: {source}", + extra={"data": json.dumps({"request_data": data, "source": source})}, + ) + + agent = AgentCreator.create_agent( + agent_type, + endpoint="api/answer", + llm_name=settings.LLM_PROVIDER, + gpt_model=gpt_model, + api_key=settings.API_KEY, + user_api_key=user_api_key, + prompt=prompt, + chat_history=history, + decoded_token=decoded_token, + ) + + retriever = RetrieverCreator.create_retriever( + retriever_name, + source=source, + chat_history=history, + prompt=prompt, + chunks=chunks, + token_limit=token_limit, + gpt_model=gpt_model, + user_api_key=user_api_key, + decoded_token=decoded_token, + ) + + response_full = "" + source_log_docs = [] + tool_calls = [] + stream_ended = False + thought = "" + + for line in complete_stream( + question=question, + agent=agent, + retriever=retriever, + conversation_id=conversation_id, + user_api_key=user_api_key, + decoded_token=decoded_token, + isNoneDoc=data.get("isNoneDoc"), + index=None, + should_save_conversation=False, + ): + try: + event_data = line.replace("data: ", "").strip() + event = json.loads(event_data) + + if event["type"] == "answer": + response_full += event["answer"] + elif event["type"] == "source": + source_log_docs = event["source"] + elif event["type"] == "tool_calls": + tool_calls = event["tool_calls"] + elif event["type"] == "thought": + thought = event["thought"] + elif event["type"] == "error": + logger.error(f"Error from stream: {event['error']}") + return bad_request(500, event["error"]) + elif event["type"] == "end": + stream_ended = True + + except (json.JSONDecodeError, KeyError) as e: + logger.warning(f"Error parsing stream event: {e}, line: {line}") + continue + + if not stream_ended: + logger.error("Stream ended unexpectedly without an 'end' event.") + return bad_request(500, "Stream ended unexpectedly.") + + if data.get("isNoneDoc"): + for doc in source_log_docs: + doc["source"] = "None" + + llm = LLMCreator.create_llm( + settings.LLM_PROVIDER, + api_key=settings.API_KEY, + user_api_key=user_api_key, + decoded_token=decoded_token, + ) + + result = {"answer": response_full, "sources": source_log_docs} + result["conversation_id"] = str( + save_conversation( + conversation_id, + question, + response_full, + thought, + source_log_docs, + tool_calls, + llm, + decoded_token, + api_key=user_api_key, + ) + ) + + retriever_params = retriever.get_params() + user_logs_collection.insert_one( + { + "action": "api_answer", + "level": "info", + "user": decoded_token.get("sub"), + "api_key": user_api_key, + "question": question, + "response": response_full, + "sources": source_log_docs, + "retriever_params": retriever_params, + "timestamp": datetime.datetime.now(datetime.timezone.utc), + } + ) + + except Exception as e: + logger.error( + f"/api/answer - error: {str(e)} - traceback: {traceback.format_exc()}", + extra={"error": str(e), "traceback": traceback.format_exc()}, + ) + return bad_request(500, str(e)) + + return make_response(result, 200) + + +@answer_ns.route("/api/search") +class Search(Resource): + search_model = api.model( + "SearchModel", + { + "question": fields.String( + required=True, description="The question to search" + ), + "chunks": fields.Integer( + required=False, default=2, description="Number of chunks" + ), + "api_key": fields.String( + required=False, description="API key for authentication" + ), + "active_docs": fields.String( + required=False, description="Active documents for retrieval" + ), + "retriever": fields.String(required=False, description="Retriever type"), + "token_limit": fields.Integer( + required=False, description="Limit for tokens" + ), + "isNoneDoc": fields.Boolean( + required=False, description="Flag indicating if no document is used" + ), + }, + ) + + @api.expect(search_model) + @api.doc( + description="Search for relevant documents based on the question and retriever" + ) + def post(self): + data = request.get_json() + required_fields = ["question"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + + try: + question = data["question"] + chunks = int(data.get("chunks", 2)) + token_limit = data.get("token_limit", settings.DEFAULT_MAX_HISTORY) + retriever_name = data.get("retriever", "classic") + + if "api_key" in data: + data_key = get_data_from_api_key(data["api_key"]) + chunks = int(data_key.get("chunks", 2)) + source = {"active_docs": data_key.get("source")} + user_api_key = data["api_key"] + decoded_token = {"sub": data_key.get("user")} + + elif "active_docs" in data: + source = {"active_docs": data["active_docs"]} + user_api_key = None + decoded_token = request.decoded_token + + else: + source = {} + user_api_key = None + decoded_token = request.decoded_token + + if not decoded_token: + return make_response({"error": "Unauthorized"}, 401) + + logger.info( + f"/api/answer - request_data: {data}, source: {source}", + extra={"data": json.dumps({"request_data": data, "source": source})}, + ) + + retriever = RetrieverCreator.create_retriever( + retriever_name, + source=source, + chat_history=[], + prompt="default", + chunks=chunks, + token_limit=token_limit, + gpt_model=gpt_model, + user_api_key=user_api_key, + decoded_token=decoded_token, + ) + + docs = retriever.search(question) + retriever_params = retriever.get_params() + + user_logs_collection.insert_one( + { + "action": "api_search", + "level": "info", + "user": decoded_token.get("sub"), + "api_key": user_api_key, + "question": question, + "sources": docs, + "retriever_params": retriever_params, + "timestamp": datetime.datetime.now(datetime.timezone.utc), + } + ) + + if data.get("isNoneDoc"): + for doc in docs: + doc["source"] = "None" + + except Exception as e: + logger.error( + f"/api/search - error: {str(e)} - traceback: {traceback.format_exc()}", + extra={"error": str(e), "traceback": traceback.format_exc()}, + ) + return bad_request(500, str(e)) + + return make_response(docs, 200) + + +def get_attachments_content(attachment_ids, user): + """ + Retrieve content from attachment documents based on their IDs. + + Args: + attachment_ids (list): List of attachment document IDs + user (str): User identifier to verify ownership + + Returns: + list: List of dictionaries containing attachment content and metadata + """ + if not attachment_ids: + return [] + + attachments = [] + for attachment_id in attachment_ids: + try: + attachment_doc = attachments_collection.find_one( + {"_id": ObjectId(attachment_id), "user": user} + ) + + if attachment_doc: + attachments.append(attachment_doc) + except Exception as e: + logger.error( + f"Error retrieving attachment {attachment_id}: {e}", exc_info=True + ) + + return attachments diff --git a/application/api/internal/__init__.py b/application/api/internal/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/api/internal/routes.py b/application/api/internal/routes.py new file mode 100755 index 00000000..b4422e26 --- /dev/null +++ b/application/api/internal/routes.py @@ -0,0 +1,111 @@ +import os +import datetime +from flask import Blueprint, request, send_from_directory +from werkzeug.utils import secure_filename +from bson.objectid import ObjectId +import logging +from application.core.mongo_db import MongoDB +from application.core.settings import settings +from application.storage.storage_creator import StorageCreator + + +logger = logging.getLogger(__name__) +mongo = MongoDB.get_client() +db = mongo[settings.MONGO_DB_NAME] +conversations_collection = db["conversations"] +sources_collection = db["sources"] + +current_dir = os.path.dirname( + os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +) + + +internal = Blueprint("internal", __name__) + + +@internal.route("/api/download", methods=["get"]) +def download_file(): + user = secure_filename(request.args.get("user")) + job_name = secure_filename(request.args.get("name")) + filename = secure_filename(request.args.get("file")) + save_dir = os.path.join(current_dir, settings.UPLOAD_FOLDER, user, job_name) + return send_from_directory(save_dir, filename, as_attachment=True) + + +@internal.route("/api/upload_index", methods=["POST"]) +def upload_index_files(): + """Upload two files(index.faiss, index.pkl) to the user's folder.""" + if "user" not in request.form: + return {"status": "no user"} + user = request.form["user"] + if "name" not in request.form: + return {"status": "no name"} + job_name = request.form["name"] + tokens = request.form["tokens"] + retriever = request.form["retriever"] + id = request.form["id"] + type = request.form["type"] + remote_data = request.form["remote_data"] if "remote_data" in request.form else None + sync_frequency = request.form["sync_frequency"] if "sync_frequency" in request.form else None + + original_file_path = request.form.get("original_file_path") + + storage = StorageCreator.get_storage() + index_base_path = f"indexes/{id}" + + if settings.VECTOR_STORE == "faiss": + if "file_faiss" not in request.files: + logger.error("No file_faiss part") + return {"status": "no file"} + file_faiss = request.files["file_faiss"] + if file_faiss.filename == "": + return {"status": "no file name"} + if "file_pkl" not in request.files: + logger.error("No file_pkl part") + return {"status": "no file"} + file_pkl = request.files["file_pkl"] + if file_pkl.filename == "": + return {"status": "no file name"} + + # Save index files to storage + storage.save_file(file_faiss, f"{index_base_path}/index.faiss") + storage.save_file(file_pkl, f"{index_base_path}/index.pkl") + + existing_entry = sources_collection.find_one({"_id": ObjectId(id)}) + if existing_entry: + sources_collection.update_one( + {"_id": ObjectId(id)}, + { + "$set": { + "user": user, + "name": job_name, + "language": job_name, + "date": datetime.datetime.now(), + "model": settings.EMBEDDINGS_NAME, + "type": type, + "tokens": tokens, + "retriever": retriever, + "remote_data": remote_data, + "sync_frequency": sync_frequency, + "file_path": original_file_path, + } + }, + ) + else: + sources_collection.insert_one( + { + "_id": ObjectId(id), + "user": user, + "name": job_name, + "language": job_name, + "date": datetime.datetime.now(), + "model": settings.EMBEDDINGS_NAME, + "type": type, + "tokens": tokens, + "retriever": retriever, + "remote_data": remote_data, + "sync_frequency": sync_frequency, + "file_path": original_file_path, + } + ) + return {"status": "ok"} diff --git a/application/api/user/__init__.py b/application/api/user/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/api/user/routes.py b/application/api/user/routes.py new file mode 100644 index 00000000..b1058203 --- /dev/null +++ b/application/api/user/routes.py @@ -0,0 +1,3618 @@ +import datetime +import json +import math +import os +import secrets +import shutil +import uuid +from functools import wraps +from typing import Optional, Tuple + +from bson.binary import Binary, UuidRepresentation +from bson.dbref import DBRef +from bson.objectid import ObjectId +from flask import ( + Blueprint, + current_app, + jsonify, + make_response, + redirect, + request, + Response, +) +from flask_restx import fields, inputs, Namespace, Resource +from pymongo import ReturnDocument +from werkzeug.utils import secure_filename + +from application.agents.tools.tool_manager import ToolManager + +from application.api.user.tasks import ( + ingest, + ingest_remote, + process_agent_webhook, + store_attachment, +) +from application.core.mongo_db import MongoDB +from application.core.settings import settings +from application.extensions import api +from application.storage.storage_creator import StorageCreator +from application.tts.google_tts import GoogleTTS +from application.utils import ( + check_required_fields, + generate_image_url, + safe_filename, + validate_function_name, +) +from application.vectorstore.vector_creator import VectorCreator + +storage = StorageCreator.get_storage() + +mongo = MongoDB.get_client() +db = mongo[settings.MONGO_DB_NAME] +conversations_collection = db["conversations"] +sources_collection = db["sources"] +prompts_collection = db["prompts"] +feedback_collection = db["feedback"] +agents_collection = db["agents"] +token_usage_collection = db["token_usage"] +shared_conversations_collections = db["shared_conversations"] +users_collection = db["users"] +user_logs_collection = db["user_logs"] +user_tools_collection = db["user_tools"] +attachments_collection = db["attachments"] + +agents_collection.create_index( + [("shared", 1)], + name="shared_index", + background=True, +) +users_collection.create_index("user_id", unique=True) + +user = Blueprint("user", __name__) +user_ns = Namespace("user", description="User related operations", path="/") +api.add_namespace(user_ns) + +current_dir = os.path.dirname( + os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +) + +tool_config = {} +tool_manager = ToolManager(config=tool_config) + + +def generate_minute_range(start_date, end_date): + return { + (start_date + datetime.timedelta(minutes=i)).strftime("%Y-%m-%d %H:%M:00"): 0 + for i in range(int((end_date - start_date).total_seconds() // 60) + 1) + } + + +def generate_hourly_range(start_date, end_date): + return { + (start_date + datetime.timedelta(hours=i)).strftime("%Y-%m-%d %H:00"): 0 + for i in range(int((end_date - start_date).total_seconds() // 3600) + 1) + } + + +def generate_date_range(start_date, end_date): + return { + (start_date + datetime.timedelta(days=i)).strftime("%Y-%m-%d"): 0 + for i in range((end_date - start_date).days + 1) + } + + +def ensure_user_doc(user_id): + default_prefs = { + "pinned": [], + "shared_with_me": [], + } + + user_doc = users_collection.find_one_and_update( + {"user_id": user_id}, + {"$setOnInsert": {"agent_preferences": default_prefs}}, + upsert=True, + return_document=ReturnDocument.AFTER, + ) + + prefs = user_doc.get("agent_preferences", {}) + updates = {} + if "pinned" not in prefs: + updates["agent_preferences.pinned"] = [] + if "shared_with_me" not in prefs: + updates["agent_preferences.shared_with_me"] = [] + + if updates: + users_collection.update_one({"user_id": user_id}, {"$set": updates}) + user_doc = users_collection.find_one({"user_id": user_id}) + + return user_doc + + +def resolve_tool_details(tool_ids): + tools = user_tools_collection.find( + {"_id": {"$in": [ObjectId(tid) for tid in tool_ids]}} + ) + return [ + { + "id": str(tool["_id"]), + "name": tool.get("name", ""), + "display_name": tool.get("displayName", tool.get("name", "")), + } + for tool in tools + ] + + +def get_vector_store(source_id): + """ + Get the Vector Store + Args: + source_id (str): source id of the document + """ + + store = VectorCreator.create_vectorstore( + settings.VECTOR_STORE, + source_id=source_id, + embeddings_key=os.getenv("EMBEDDINGS_KEY"), + ) + return store + + +def handle_image_upload( + request, existing_url: str, user: str, storage, base_path: str = "attachments/" +) -> Tuple[str, Optional[Response]]: + image_url = existing_url + + if "image" in request.files: + file = request.files["image"] + if file.filename != "": + filename = secure_filename(file.filename) + upload_path = f"{settings.UPLOAD_FOLDER.rstrip('/')}/{user}/{base_path.rstrip('/')}/{uuid.uuid4()}_{filename}" + try: + storage.save_file(file, upload_path) + image_url = upload_path + except Exception as e: + current_app.logger.error(f"Error uploading image: {e}") + return None, make_response( + jsonify({"success": False, "message": "Image upload failed"}), + 400, + ) + + return image_url, None + + +@user_ns.route("/api/delete_conversation") +class DeleteConversation(Resource): + @api.doc( + description="Deletes a conversation by ID", + params={"id": "The ID of the conversation to delete"}, + ) + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + conversation_id = request.args.get("id") + if not conversation_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + try: + conversations_collection.delete_one( + {"_id": ObjectId(conversation_id), "user": decoded_token["sub"]} + ) + except Exception as err: + current_app.logger.error( + f"Error deleting conversation: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/delete_all_conversations") +class DeleteAllConversations(Resource): + @api.doc( + description="Deletes all conversations for a specific user", + ) + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user_id = decoded_token.get("sub") + try: + conversations_collection.delete_many({"user": user_id}) + except Exception as err: + current_app.logger.error( + f"Error deleting all conversations: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/get_conversations") +class GetConversations(Resource): + @api.doc( + description="Retrieve a list of the latest 30 conversations (excluding API key conversations)", + ) + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + try: + conversations = ( + conversations_collection.find( + { + "$or": [ + {"api_key": {"$exists": False}}, + {"agent_id": {"$exists": True}}, + ], + "user": decoded_token.get("sub"), + } + ) + .sort("date", -1) + .limit(30) + ) + + list_conversations = [ + { + "id": str(conversation["_id"]), + "name": conversation["name"], + "agent_id": conversation.get("agent_id", None), + "is_shared_usage": conversation.get("is_shared_usage", False), + "shared_token": conversation.get("shared_token", None), + } + for conversation in conversations + ] + except Exception as err: + current_app.logger.error( + f"Error retrieving conversations: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify(list_conversations), 200) + + +@user_ns.route("/api/get_single_conversation") +class GetSingleConversation(Resource): + @api.doc( + description="Retrieve a single conversation by ID", + params={"id": "The conversation ID"}, + ) + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + conversation_id = request.args.get("id") + if not conversation_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + try: + conversation = conversations_collection.find_one( + {"_id": ObjectId(conversation_id), "user": decoded_token.get("sub")} + ) + if not conversation: + return make_response(jsonify({"status": "not found"}), 404) + + # Process queries to include attachment names + queries = conversation["queries"] + for query in queries: + if "attachments" in query and query["attachments"]: + attachment_details = [] + for attachment_id in query["attachments"]: + try: + attachment = attachments_collection.find_one( + {"_id": ObjectId(attachment_id)} + ) + if attachment: + attachment_details.append( + { + "id": str(attachment["_id"]), + "fileName": attachment.get( + "filename", "Unknown file" + ), + } + ) + except Exception as e: + current_app.logger.error( + f"Error retrieving attachment {attachment_id}: {e}", + exc_info=True, + ) + query["attachments"] = attachment_details + except Exception as err: + current_app.logger.error( + f"Error retrieving conversation: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + data = { + "queries": queries, + "agent_id": conversation.get("agent_id"), + "is_shared_usage": conversation.get("is_shared_usage", False), + "shared_token": conversation.get("shared_token", None), + } + return make_response(jsonify(data), 200) + + +@user_ns.route("/api/update_conversation_name") +class UpdateConversationName(Resource): + @api.expect( + api.model( + "UpdateConversationModel", + { + "id": fields.String(required=True, description="Conversation ID"), + "name": fields.String( + required=True, description="New name of the conversation" + ), + }, + ) + ) + @api.doc( + description="Updates the name of a conversation", + ) + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + data = request.get_json() + required_fields = ["id", "name"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + conversations_collection.update_one( + {"_id": ObjectId(data["id"]), "user": decoded_token.get("sub")}, + {"$set": {"name": data["name"]}}, + ) + except Exception as err: + current_app.logger.error( + f"Error updating conversation name: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/feedback") +class SubmitFeedback(Resource): + @api.expect( + api.model( + "FeedbackModel", + { + "question": fields.String( + required=False, description="The user question" + ), + "answer": fields.String(required=False, description="The AI answer"), + "feedback": fields.String(required=True, description="User feedback"), + "question_index": fields.Integer( + required=True, + description="The question number in that particular conversation", + ), + "conversation_id": fields.String( + required=True, description="id of the particular conversation" + ), + "api_key": fields.String(description="Optional API key"), + }, + ) + ) + @api.doc( + description="Submit feedback for a conversation", + ) + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + data = request.get_json() + required_fields = ["feedback", "conversation_id", "question_index"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + if data["feedback"] is None: + # Remove feedback and feedback_timestamp if feedback is null + + conversations_collection.update_one( + { + "_id": ObjectId(data["conversation_id"]), + "user": decoded_token.get("sub"), + f"queries.{data['question_index']}": {"$exists": True}, + }, + { + "$unset": { + f"queries.{data['question_index']}.feedback": "", + f"queries.{data['question_index']}.feedback_timestamp": "", + } + }, + ) + else: + # Set feedback and feedback_timestamp if feedback has a value + + conversations_collection.update_one( + { + "_id": ObjectId(data["conversation_id"]), + "user": decoded_token.get("sub"), + f"queries.{data['question_index']}": {"$exists": True}, + }, + { + "$set": { + f"queries.{data['question_index']}.feedback": data[ + "feedback" + ], + f"queries.{data['question_index']}.feedback_timestamp": datetime.datetime.now( + datetime.timezone.utc + ), + } + }, + ) + except Exception as err: + current_app.logger.error(f"Error submitting feedback: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/delete_by_ids") +class DeleteByIds(Resource): + @api.doc( + description="Deletes documents from the vector store by IDs", + params={"path": "Comma-separated list of IDs"}, + ) + def get(self): + ids = request.args.get("path") + if not ids: + return make_response( + jsonify({"success": False, "message": "Missing required fields"}), 400 + ) + try: + result = sources_collection.delete_index(ids=ids) + if result: + return make_response(jsonify({"success": True}), 200) + except Exception as err: + current_app.logger.error(f"Error deleting indexes: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": False}), 400) + + +@user_ns.route("/api/delete_old") +class DeleteOldIndexes(Resource): + @api.doc( + description="Deletes old indexes", + params={"source_id": "The source ID to delete"}, + ) + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + source_id = request.args.get("source_id") + if not source_id: + return make_response( + jsonify({"success": False, "message": "Missing required fields"}), 400 + ) + doc = sources_collection.find_one( + {"_id": ObjectId(source_id), "user": decoded_token.get("sub")} + ) + if not doc: + return make_response(jsonify({"status": "not found"}), 404) + try: + if settings.VECTOR_STORE == "faiss": + shutil.rmtree(os.path.join(current_dir, "indexes", str(doc["_id"]))) + else: + vectorstore = VectorCreator.create_vectorstore( + settings.VECTOR_STORE, source_id=str(doc["_id"]) + ) + vectorstore.delete_index() + except FileNotFoundError: + pass + except Exception as err: + current_app.logger.error( + f"Error deleting old indexes: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + sources_collection.delete_one({"_id": ObjectId(source_id)}) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/upload") +class UploadFile(Resource): + @api.expect( + api.model( + "UploadModel", + { + "user": fields.String(required=True, description="User ID"), + "name": fields.String(required=True, description="Job name"), + "file": fields.Raw(required=True, description="File(s) to upload"), + }, + ) + ) + @api.doc( + description="Uploads a file to be vectorized and indexed", + ) + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + data = request.form + files = request.files.getlist("file") + required_fields = ["user", "name"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields or not files or all(file.filename == "" for file in files): + return make_response( + jsonify( + { + "status": "error", + "message": "Missing required fields or files", + } + ), + 400, + ) + user = decoded_token.get("sub") + job_name = request.form["name"] + + # Create safe versions for filesystem operations + safe_user = safe_filename(user) + dir_name = safe_filename(job_name) + + try: + storage = StorageCreator.get_storage() + base_path = f"{settings.UPLOAD_FOLDER}/{safe_user}/{dir_name}" + + if len(files) > 1: + temp_files = [] + for file in files: + filename = safe_filename(file.filename) + temp_path = f"{base_path}/temp/{filename}" + storage.save_file(file, temp_path) + temp_files.append(temp_path) + print(f"Saved file: {filename}") + zip_filename = f"{dir_name}.zip" + zip_path = f"{base_path}/{zip_filename}" + zip_temp_path = None + + def create_zip_archive(temp_paths, dir_name, storage): + import tempfile + + with tempfile.NamedTemporaryFile( + delete=False, suffix=".zip" + ) as temp_zip_file: + zip_output_path = temp_zip_file.name + with tempfile.TemporaryDirectory() as stage_dir: + for path in temp_paths: + try: + file_data = storage.get_file(path) + with open( + os.path.join(stage_dir, os.path.basename(path)), + "wb", + ) as f: + f.write(file_data.read()) + except Exception as e: + current_app.logger.error( + f"Error processing file {path} for zipping: {e}", + exc_info=True, + ) + if os.path.exists(zip_output_path): + os.remove(zip_output_path) + raise + try: + shutil.make_archive( + base_name=zip_output_path.replace(".zip", ""), + format="zip", + root_dir=stage_dir, + ) + except Exception as e: + current_app.logger.error( + f"Error creating zip archive: {e}", exc_info=True + ) + if os.path.exists(zip_output_path): + os.remove(zip_output_path) + raise + return zip_output_path + + try: + zip_temp_path = create_zip_archive(temp_files, dir_name, storage) + with open(zip_temp_path, "rb") as zip_file: + storage.save_file(zip_file, zip_path) + task = ingest.delay( + settings.UPLOAD_FOLDER, + [ + ".rst", + ".md", + ".pdf", + ".txt", + ".docx", + ".csv", + ".epub", + ".html", + ".mdx", + ".json", + ".xlsx", + ".pptx", + ".png", + ".jpg", + ".jpeg", + ], + job_name, + zip_filename, + user, + dir_name, + safe_user, + ) + finally: + # Clean up temporary files + + for temp_path in temp_files: + try: + storage.delete_file(temp_path) + except Exception as e: + current_app.logger.error( + f"Error deleting temporary file {temp_path}: {e}", + exc_info=True, + ) + # Clean up the zip file if it was created + + if zip_temp_path and os.path.exists(zip_temp_path): + os.remove(zip_temp_path) + else: # Keep this else block for single file upload + # For single file + + file = files[0] + filename = safe_filename(file.filename) + file_path = f"{base_path}/{filename}" + + storage.save_file(file, file_path) + + task = ingest.delay( + settings.UPLOAD_FOLDER, + [ + ".rst", + ".md", + ".pdf", + ".txt", + ".docx", + ".csv", + ".epub", + ".html", + ".mdx", + ".json", + ".xlsx", + ".pptx", + ".png", + ".jpg", + ".jpeg", + ], + job_name, + filename, # Corrected variable for single-file case + user, + dir_name, + safe_user, + ) + except Exception as err: + current_app.logger.error(f"Error uploading file: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True, "task_id": task.id}), 200) + + +@user_ns.route("/api/remote") +class UploadRemote(Resource): + @api.expect( + api.model( + "RemoteUploadModel", + { + "user": fields.String(required=True, description="User ID"), + "source": fields.String( + required=True, description="Source of the data" + ), + "name": fields.String(required=True, description="Job name"), + "data": fields.String(required=True, description="Data to process"), + "repo_url": fields.String(description="GitHub repository URL"), + }, + ) + ) + @api.doc( + description="Uploads remote source for vectorization", + ) + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + data = request.form + required_fields = ["user", "source", "name", "data"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + config = json.loads(data["data"]) + source_data = None + + if data["source"] == "github": + source_data = config.get("repo_url") + elif data["source"] in ["crawler", "url"]: + source_data = config.get("url") + elif data["source"] == "reddit": + source_data = config + task = ingest_remote.delay( + source_data=source_data, + job_name=data["name"], + user=decoded_token.get("sub"), + loader=data["source"], + ) + except Exception as err: + current_app.logger.error( + f"Error uploading remote source: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True, "task_id": task.id}), 200) + + +@user_ns.route("/api/task_status") +class TaskStatus(Resource): + task_status_model = api.model( + "TaskStatusModel", + {"task_id": fields.String(required=True, description="Task ID")}, + ) + + @api.expect(task_status_model) + @api.doc(description="Get celery job status") + def get(self): + task_id = request.args.get("task_id") + if not task_id: + return make_response( + jsonify({"success": False, "message": "Task ID is required"}), 400 + ) + try: + from application.celery_init import celery + + task = celery.AsyncResult(task_id) + task_meta = task.info + print(f"Task status: {task.status}") + if not isinstance( + task_meta, (dict, list, str, int, float, bool, type(None)) + ): + task_meta = str(task_meta) # Convert to a string representation + except Exception as err: + current_app.logger.error(f"Error getting task status: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"status": task.status, "result": task_meta}), 200) + + +@user_ns.route("/api/combine") +class RedirectToSources(Resource): + @api.doc( + description="Redirects /api/combine to /api/sources for backward compatibility" + ) + def get(self): + return redirect("/api/sources", code=301) + + +@user_ns.route("/api/sources/paginated") +class PaginatedSources(Resource): + @api.doc(description="Get document with pagination, sorting and filtering") + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + sort_field = request.args.get("sort", "date") # Default to 'date' + sort_order = request.args.get("order", "desc") # Default to 'desc' + page = int(request.args.get("page", 1)) # Default to 1 + rows_per_page = int(request.args.get("rows", 10)) # Default to 10 + # add .strip() to remove leading and trailing whitespaces + + search_term = request.args.get( + "search", "" + ).strip() # add search for filter documents + + # Prepare query for filtering + + query = {"user": user} + if search_term: + query["name"] = { + "$regex": search_term, + "$options": "i", # using case-insensitive search + } + total_documents = sources_collection.count_documents(query) + total_pages = max(1, math.ceil(total_documents / rows_per_page)) + page = min( + max(1, page), total_pages + ) # add this to make sure page inbound is within the range + sort_order = 1 if sort_order == "asc" else -1 + skip = (page - 1) * rows_per_page + + try: + documents = ( + sources_collection.find(query) + .sort(sort_field, sort_order) + .skip(skip) + .limit(rows_per_page) + ) + + paginated_docs = [] + for doc in documents: + doc_data = { + "id": str(doc["_id"]), + "name": doc.get("name", ""), + "date": doc.get("date", ""), + "model": settings.EMBEDDINGS_NAME, + "location": "local", + "tokens": doc.get("tokens", ""), + "retriever": doc.get("retriever", "classic"), + "syncFrequency": doc.get("sync_frequency", ""), + } + paginated_docs.append(doc_data) + response = { + "total": total_documents, + "totalPages": total_pages, + "currentPage": page, + "paginated": paginated_docs, + } + return make_response(jsonify(response), 200) + except Exception as err: + current_app.logger.error( + f"Error retrieving paginated sources: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + + +@user_ns.route("/api/sources") +class CombinedJson(Resource): + @api.doc(description="Provide JSON file with combined available indexes") + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = [ + { + "name": "Default", + "date": "default", + "model": settings.EMBEDDINGS_NAME, + "location": "remote", + "tokens": "", + "retriever": "classic", + } + ] + + try: + for index in sources_collection.find({"user": user}).sort("date", -1): + data.append( + { + "id": str(index["_id"]), + "name": index.get("name"), + "date": index.get("date"), + "model": settings.EMBEDDINGS_NAME, + "location": "local", + "tokens": index.get("tokens", ""), + "retriever": index.get("retriever", "classic"), + "syncFrequency": index.get("sync_frequency", ""), + } + ) + if "duckduck_search" in settings.RETRIEVERS_ENABLED: + data.append( + { + "name": "DuckDuckGo Search", + "date": "duckduck_search", + "model": settings.EMBEDDINGS_NAME, + "location": "custom", + "tokens": "", + "retriever": "duckduck_search", + } + ) + if "brave_search" in settings.RETRIEVERS_ENABLED: + data.append( + { + "name": "Brave Search", + "language": "en", + "date": "brave_search", + "model": settings.EMBEDDINGS_NAME, + "location": "custom", + "tokens": "", + "retriever": "brave_search", + } + ) + except Exception as err: + current_app.logger.error(f"Error retrieving sources: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify(data), 200) + + +@user_ns.route("/api/docs_check") +class CheckDocs(Resource): + check_docs_model = api.model( + "CheckDocsModel", + {"docs": fields.String(required=True, description="Document name")}, + ) + + @api.expect(check_docs_model) + @api.doc(description="Check if document exists") + def post(self): + data = request.get_json() + required_fields = ["docs"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + vectorstore = "vectors/" + secure_filename(data["docs"]) + if os.path.exists(vectorstore) or data["docs"] == "default": + return {"status": "exists"}, 200 + except Exception as err: + current_app.logger.error(f"Error checking document: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"status": "not found"}), 404) + + +@user_ns.route("/api/create_prompt") +class CreatePrompt(Resource): + create_prompt_model = api.model( + "CreatePromptModel", + { + "content": fields.String( + required=True, description="Content of the prompt" + ), + "name": fields.String(required=True, description="Name of the prompt"), + }, + ) + + @api.expect(create_prompt_model) + @api.doc(description="Create a new prompt") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + data = request.get_json() + required_fields = ["content", "name"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + user = decoded_token.get("sub") + try: + + resp = prompts_collection.insert_one( + { + "name": data["name"], + "content": data["content"], + "user": user, + } + ) + new_id = str(resp.inserted_id) + except Exception as err: + current_app.logger.error(f"Error creating prompt: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"id": new_id}), 200) + + +@user_ns.route("/api/get_prompts") +class GetPrompts(Resource): + @api.doc(description="Get all prompts for the user") + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + try: + prompts = prompts_collection.find({"user": user}) + list_prompts = [ + {"id": "default", "name": "default", "type": "public"}, + {"id": "creative", "name": "creative", "type": "public"}, + {"id": "strict", "name": "strict", "type": "public"}, + ] + + for prompt in prompts: + list_prompts.append( + { + "id": str(prompt["_id"]), + "name": prompt["name"], + "type": "private", + } + ) + except Exception as err: + current_app.logger.error(f"Error retrieving prompts: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify(list_prompts), 200) + + +@user_ns.route("/api/get_single_prompt") +class GetSinglePrompt(Resource): + @api.doc(params={"id": "ID of the prompt"}, description="Get a single prompt by ID") + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + prompt_id = request.args.get("id") + if not prompt_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + try: + if prompt_id == "default": + with open( + os.path.join(current_dir, "prompts", "chat_combine_default.txt"), + "r", + ) as f: + chat_combine_template = f.read() + return make_response(jsonify({"content": chat_combine_template}), 200) + elif prompt_id == "creative": + with open( + os.path.join(current_dir, "prompts", "chat_combine_creative.txt"), + "r", + ) as f: + chat_reduce_creative = f.read() + return make_response(jsonify({"content": chat_reduce_creative}), 200) + elif prompt_id == "strict": + with open( + os.path.join(current_dir, "prompts", "chat_combine_strict.txt"), "r" + ) as f: + chat_reduce_strict = f.read() + return make_response(jsonify({"content": chat_reduce_strict}), 200) + prompt = prompts_collection.find_one( + {"_id": ObjectId(prompt_id), "user": user} + ) + except Exception as err: + current_app.logger.error(f"Error retrieving prompt: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"content": prompt["content"]}), 200) + + +@user_ns.route("/api/delete_prompt") +class DeletePrompt(Resource): + delete_prompt_model = api.model( + "DeletePromptModel", + {"id": fields.String(required=True, description="Prompt ID to delete")}, + ) + + @api.expect(delete_prompt_model) + @api.doc(description="Delete a prompt by ID") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + prompts_collection.delete_one({"_id": ObjectId(data["id"]), "user": user}) + except Exception as err: + current_app.logger.error(f"Error deleting prompt: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/update_prompt") +class UpdatePrompt(Resource): + update_prompt_model = api.model( + "UpdatePromptModel", + { + "id": fields.String(required=True, description="Prompt ID to update"), + "name": fields.String(required=True, description="New name of the prompt"), + "content": fields.String( + required=True, description="New content of the prompt" + ), + }, + ) + + @api.expect(update_prompt_model) + @api.doc(description="Update an existing prompt") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id", "name", "content"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + prompts_collection.update_one( + {"_id": ObjectId(data["id"]), "user": user}, + {"$set": {"name": data["name"], "content": data["content"]}}, + ) + except Exception as err: + current_app.logger.error(f"Error updating prompt: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/get_agent") +class GetAgent(Resource): + @api.doc(params={"id": "Agent ID"}, description="Get agent by ID") + def get(self): + if not (decoded_token := request.decoded_token): + return {"success": False}, 401 + + if not (agent_id := request.args.get("id")): + return {"success": False, "message": "ID required"}, 400 + + try: + agent = agents_collection.find_one( + {"_id": ObjectId(agent_id), "user": decoded_token["sub"]} + ) + if not agent: + return {"status": "Not found"}, 404 + + data = { + "id": str(agent["_id"]), + "name": agent["name"], + "description": agent.get("description", ""), + "image": ( + generate_image_url(agent["image"]) if agent.get("image") else "" + ), + "source": ( + str(source_doc["_id"]) + if isinstance(agent.get("source"), DBRef) + and (source_doc := db.dereference(agent.get("source"))) + else "" + ), + "chunks": agent["chunks"], + "retriever": agent.get("retriever", ""), + "prompt_id": agent.get("prompt_id", ""), + "tools": agent.get("tools", []), + "tool_details": resolve_tool_details(agent.get("tools", [])), + "agent_type": agent.get("agent_type", ""), + "status": agent.get("status", ""), + "created_at": agent.get("createdAt", ""), + "updated_at": agent.get("updatedAt", ""), + "last_used_at": agent.get("lastUsedAt", ""), + "key": ( + f"{agent['key'][:4]}...{agent['key'][-4:]}" + if "key" in agent + else "" + ), + "pinned": agent.get("pinned", False), + "shared": agent.get("shared_publicly", False), + "shared_metadata": agent.get("shared_metadata", {}), + "shared_token": agent.get("shared_token", ""), + } + return make_response(jsonify(data), 200) + + except Exception as e: + current_app.logger.error(f"Agent fetch error: {e}", exc_info=True) + return {"success": False}, 400 + + +@user_ns.route("/api/get_agents") +class GetAgents(Resource): + @api.doc(description="Retrieve agents for the user") + def get(self): + if not (decoded_token := request.decoded_token): + return {"success": False}, 401 + + user = decoded_token.get("sub") + try: + user_doc = ensure_user_doc(user) + pinned_ids = set(user_doc.get("agent_preferences", {}).get("pinned", [])) + + agents = agents_collection.find({"user": user}) + list_agents = [ + { + "id": str(agent["_id"]), + "name": agent["name"], + "description": agent.get("description", ""), + "image": ( + generate_image_url(agent["image"]) if agent.get("image") else "" + ), + "source": ( + str(source_doc["_id"]) + if isinstance(agent.get("source"), DBRef) + and (source_doc := db.dereference(agent.get("source"))) + else "" + ), + "chunks": agent["chunks"], + "retriever": agent.get("retriever", ""), + "prompt_id": agent.get("prompt_id", ""), + "tools": agent.get("tools", []), + "tool_details": resolve_tool_details(agent.get("tools", [])), + "agent_type": agent.get("agent_type", ""), + "status": agent.get("status", ""), + "created_at": agent.get("createdAt", ""), + "updated_at": agent.get("updatedAt", ""), + "last_used_at": agent.get("lastUsedAt", ""), + "key": ( + f"{agent['key'][:4]}...{agent['key'][-4:]}" + if "key" in agent + else "" + ), + "pinned": str(agent["_id"]) in pinned_ids, + "shared": agent.get("shared_publicly", False), + "shared_metadata": agent.get("shared_metadata", {}), + "shared_token": agent.get("shared_token", ""), + } + for agent in agents + if "source" in agent or "retriever" in agent + ] + except Exception as err: + current_app.logger.error(f"Error retrieving agents: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify(list_agents), 200) + + +@user_ns.route("/api/create_agent") +class CreateAgent(Resource): + create_agent_model = api.model( + "CreateAgentModel", + { + "name": fields.String(required=True, description="Name of the agent"), + "description": fields.String( + required=True, description="Description of the agent" + ), + "image": fields.Raw( + required=False, description="Image file upload", type="file" + ), + "source": fields.String(required=True, description="Source ID"), + "chunks": fields.Integer(required=True, description="Chunks count"), + "retriever": fields.String(required=True, description="Retriever ID"), + "prompt_id": fields.String(required=True, description="Prompt ID"), + "tools": fields.List( + fields.String, required=False, description="List of tool identifiers" + ), + "agent_type": fields.String(required=True, description="Type of the agent"), + "status": fields.String( + required=True, description="Status of the agent (draft or published)" + ), + }, + ) + + @api.expect(create_agent_model) + @api.doc(description="Create a new agent") + def post(self): + if not (decoded_token := request.decoded_token): + return {"success": False}, 401 + user = decoded_token.get("sub") + if request.content_type == "application/json": + data = request.get_json() + else: + print(request.form) + data = request.form.to_dict() + if "tools" in data: + try: + data["tools"] = json.loads(data["tools"]) + except json.JSONDecodeError: + data["tools"] = [] + print(f"Received data: {data}") + if data.get("status") not in ["draft", "published"]: + return make_response( + jsonify({"success": False, "message": "Invalid status"}), 400 + ) + required_fields = [] + if data.get("status") == "published": + required_fields = [ + "name", + "description", + "source", + "chunks", + "retriever", + "prompt_id", + "agent_type", + ] + else: + required_fields = ["name"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + + image_url, error = handle_image_upload(request, "", user, storage) + if error: + return make_response( + jsonify({"success": False, "message": "Image upload failed"}), 400 + ) + + try: + key = str(uuid.uuid4()) + new_agent = { + "user": user, + "name": data.get("name"), + "description": data.get("description", ""), + "image": image_url, + "source": ( + DBRef("sources", ObjectId(data.get("source"))) + if ObjectId.is_valid(data.get("source")) + else "" + ), + "chunks": data.get("chunks", ""), + "retriever": data.get("retriever", ""), + "prompt_id": data.get("prompt_id", ""), + "tools": data.get("tools", []), + "agent_type": data.get("agent_type", ""), + "status": data.get("status"), + "createdAt": datetime.datetime.now(datetime.timezone.utc), + "updatedAt": datetime.datetime.now(datetime.timezone.utc), + "lastUsedAt": None, + "key": key, + } + if new_agent["chunks"] == "": + new_agent["chunks"] = "0" + if new_agent["source"] == "" and new_agent["retriever"] == "": + new_agent["retriever"] = "classic" + resp = agents_collection.insert_one(new_agent) + new_id = str(resp.inserted_id) + except Exception as err: + current_app.logger.error(f"Error creating agent: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"id": new_id, "key": key}), 201) + + +@user_ns.route("/api/update_agent/") +class UpdateAgent(Resource): + update_agent_model = api.model( + "UpdateAgentModel", + { + "name": fields.String(required=True, description="New name of the agent"), + "description": fields.String( + required=True, description="New description of the agent" + ), + "image": fields.String( + required=False, description="New image URL or identifier" + ), + "source": fields.String(required=True, description="Source ID"), + "chunks": fields.Integer(required=True, description="Chunks count"), + "retriever": fields.String(required=True, description="Retriever ID"), + "prompt_id": fields.String(required=True, description="Prompt ID"), + "tools": fields.List( + fields.String, required=False, description="List of tool identifiers" + ), + "agent_type": fields.String(required=True, description="Type of the agent"), + "status": fields.String( + required=True, description="Status of the agent (draft or published)" + ), + }, + ) + + @api.expect(update_agent_model) + @api.doc(description="Update an existing agent") + def put(self, agent_id): + if not (decoded_token := request.decoded_token): + return {"success": False}, 401 + user = decoded_token.get("sub") + if request.content_type == "application/json": + data = request.get_json() + else: + data = request.form.to_dict() + if "tools" in data: + try: + data["tools"] = json.loads(data["tools"]) + except json.JSONDecodeError: + data["tools"] = [] + + if not ObjectId.is_valid(agent_id): + return make_response( + jsonify({"success": False, "message": "Invalid agent ID format"}), 400 + ) + oid = ObjectId(agent_id) + + try: + existing_agent = agents_collection.find_one({"_id": oid, "user": user}) + except Exception as err: + return make_response( + current_app.logger.error( + f"Error finding agent {agent_id}: {err}", exc_info=True + ), + jsonify({"success": False, "message": "Database error finding agent"}), + 500, + ) + if not existing_agent: + return make_response( + jsonify( + {"success": False, "message": "Agent not found or not authorized"} + ), + 404, + ) + + image_url, error = handle_image_upload( + request, existing_agent.get("image", ""), user, storage + ) + if error: + return make_response( + jsonify({"success": False, "message": "Image upload failed"}), 400 + ) + + update_fields = {} + allowed_fields = [ + "name", + "description", + "image", + "source", + "chunks", + "retriever", + "prompt_id", + "tools", + "agent_type", + "status", + ] + + for field in allowed_fields: + if field in data: + if field == "status": + new_status = data.get("status") + if new_status not in ["draft", "published"]: + return make_response( + jsonify( + {"success": False, "message": "Invalid status value"} + ), + 400, + ) + update_fields[field] = new_status + elif field == "source": + source_id = data.get("source") + if source_id and ObjectId.is_valid(source_id): + update_fields[field] = DBRef("sources", ObjectId(source_id)) + elif source_id: + return make_response( + jsonify( + { + "success": False, + "message": "Invalid source ID format provided", + } + ), + 400, + ) + else: + update_fields[field] = "" + elif field == "chunks": + chunks_value = data.get("chunks") + if chunks_value == "": + update_fields[field] = "0" + else: + try: + if int(chunks_value) < 0: + return make_response( + jsonify( + { + "success": False, + "message": "Chunks value must be a positive integer", + } + ), + 400, + ) + update_fields[field] = chunks_value + except ValueError: + return make_response( + jsonify( + { + "success": False, + "message": "Invalid chunks value provided", + } + ), + 400, + ) + else: + update_fields[field] = data[field] + if image_url: + update_fields["image"] = image_url + if not update_fields: + return make_response( + jsonify({"success": False, "message": "No update data provided"}), 400 + ) + final_status = update_fields.get("status", existing_agent.get("status")) + if final_status == "published": + required_published_fields = [ + "name", + "description", + "source", + "chunks", + "retriever", + "prompt_id", + "agent_type", + ] + missing_published_fields = [] + for req_field in required_published_fields: + final_value = update_fields.get( + req_field, existing_agent.get(req_field) + ) + if req_field == "source" and final_value: + if not isinstance(final_value, DBRef): + missing_published_fields.append(req_field) + if missing_published_fields: + return make_response( + jsonify( + { + "success": False, + "message": f"Cannot publish agent. Missing or invalid required fields: {', '.join(missing_published_fields)}", + } + ), + 400, + ) + update_fields["updatedAt"] = datetime.datetime.now(datetime.timezone.utc) + + try: + result = agents_collection.update_one( + {"_id": oid, "user": user}, {"$set": update_fields} + ) + + if result.matched_count == 0: + return make_response( + jsonify( + { + "success": False, + "message": "Agent not found or update failed unexpectedly", + } + ), + 404, + ) + if result.modified_count == 0 and result.matched_count == 1: + return make_response( + jsonify( + { + "success": True, + "message": "Agent found, but no changes were applied.", + } + ), + 304, + ) + except Exception as err: + current_app.logger.error( + f"Error updating agent {agent_id}: {err}", exc_info=True + ) + return make_response( + jsonify({"success": False, "message": "Database error during update"}), + 500, + ) + return make_response( + jsonify( + { + "success": True, + "id": agent_id, + "message": "Agent updated successfully", + } + ), + 200, + ) + + +@user_ns.route("/api/delete_agent") +class DeleteAgent(Resource): + @api.doc(params={"id": "ID of the agent"}, description="Delete an agent by ID") + def delete(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + agent_id = request.args.get("id") + if not agent_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + try: + deleted_agent = agents_collection.find_one_and_delete( + {"_id": ObjectId(agent_id), "user": user} + ) + if not deleted_agent: + return make_response( + jsonify({"success": False, "message": "Agent not found"}), 404 + ) + deleted_id = str(deleted_agent["_id"]) + except Exception as err: + current_app.logger.error(f"Error deleting agent: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"id": deleted_id}), 200) + + +@user_ns.route("/api/pinned_agents") +class PinnedAgents(Resource): + @api.doc(description="Get pinned agents for the user") + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + + user_id = decoded_token.get("sub") + + try: + user_doc = ensure_user_doc(user_id) + pinned_ids = user_doc.get("agent_preferences", {}).get("pinned", []) + + if not pinned_ids: + return make_response(jsonify([]), 200) + + pinned_object_ids = [ObjectId(agent_id) for agent_id in pinned_ids] + + pinned_agents_cursor = agents_collection.find( + {"_id": {"$in": pinned_object_ids}} + ) + pinned_agents = list(pinned_agents_cursor) + existing_ids = {str(agent["_id"]) for agent in pinned_agents} + + # Clean up any stale pinned IDs + stale_ids = [ + agent_id for agent_id in pinned_ids if agent_id not in existing_ids + ] + if stale_ids: + users_collection.update_one( + {"user_id": user_id}, + {"$pullAll": {"agent_preferences.pinned": stale_ids}}, + ) + + list_pinned_agents = [ + { + "id": str(agent["_id"]), + "name": agent.get("name", ""), + "description": agent.get("description", ""), + "image": ( + generate_image_url(agent["image"]) if agent.get("image") else "" + ), + "source": ( + str(db.dereference(agent["source"])["_id"]) + if "source" in agent + and agent["source"] + and isinstance(agent["source"], DBRef) + and db.dereference(agent["source"]) is not None + else "" + ), + "chunks": agent.get("chunks", ""), + "retriever": agent.get("retriever", ""), + "prompt_id": agent.get("prompt_id", ""), + "tools": agent.get("tools", []), + "tool_details": resolve_tool_details(agent.get("tools", [])), + "agent_type": agent.get("agent_type", ""), + "status": agent.get("status", ""), + "created_at": agent.get("createdAt", ""), + "updated_at": agent.get("updatedAt", ""), + "last_used_at": agent.get("lastUsedAt", ""), + "key": ( + f"{agent['key'][:4]}...{agent['key'][-4:]}" + if "key" in agent + else "" + ), + "pinned": True, + } + for agent in pinned_agents + if "source" in agent or "retriever" in agent + ] + + except Exception as err: + current_app.logger.error(f"Error retrieving pinned agents: {err}") + return make_response(jsonify({"success": False}), 400) + + return make_response(jsonify(list_pinned_agents), 200) + + +@user_ns.route("/api/pin_agent") +class PinAgent(Resource): + @api.doc(params={"id": "ID of the agent"}, description="Pin or unpin an agent") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user_id = decoded_token.get("sub") + agent_id = request.args.get("id") + + if not agent_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + try: + agent = agents_collection.find_one({"_id": ObjectId(agent_id)}) + if not agent: + return make_response( + jsonify({"success": False, "message": "Agent not found"}), 404 + ) + user_doc = ensure_user_doc(user_id) + pinned_list = user_doc.get("agent_preferences", {}).get("pinned", []) + + if agent_id in pinned_list: + users_collection.update_one( + {"user_id": user_id}, + {"$pull": {"agent_preferences.pinned": agent_id}}, + ) + action = "unpinned" + else: + users_collection.update_one( + {"user_id": user_id}, + {"$addToSet": {"agent_preferences.pinned": agent_id}}, + ) + action = "pinned" + except Exception as err: + current_app.logger.error(f"Error pinning/unpinning agent: {err}") + return make_response( + jsonify({"success": False, "message": "Server error"}), 500 + ) + return make_response(jsonify({"success": True, "action": action}), 200) + + +@user_ns.route("/api/remove_shared_agent") +class RemoveSharedAgent(Resource): + @api.doc( + params={"id": "ID of the shared agent"}, + description="Remove a shared agent from the current user's shared list", + ) + def delete(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user_id = decoded_token.get("sub") + agent_id = request.args.get("id") + + if not agent_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + + try: + agent = agents_collection.find_one( + {"_id": ObjectId(agent_id), "shared_publicly": True} + ) + if not agent: + return make_response( + jsonify({"success": False, "message": "Shared agent not found"}), + 404, + ) + + ensure_user_doc(user_id) + users_collection.update_one( + {"user_id": user_id}, + { + "$pull": { + "agent_preferences.shared_with_me": agent_id, + "agent_preferences.pinned": agent_id, + } + }, + ) + + return make_response(jsonify({"success": True, "action": "removed"}), 200) + + except Exception as err: + current_app.logger.error(f"Error removing shared agent: {err}") + return make_response( + jsonify({"success": False, "message": "Server error"}), 500 + ) + + +@user_ns.route("/api/shared_agent") +class SharedAgent(Resource): + @api.doc( + params={ + "token": "Shared token of the agent", + }, + description="Get a shared agent by token or ID", + ) + def get(self): + shared_token = request.args.get("token") + + if not shared_token: + return make_response( + jsonify({"success": False, "message": "Token or ID is required"}), 400 + ) + + try: + query = { + "shared_publicly": True, + "shared_token": shared_token, + } + shared_agent = agents_collection.find_one(query) + if not shared_agent: + return make_response( + jsonify({"success": False, "message": "Shared agent not found"}), + 404, + ) + + agent_id = str(shared_agent["_id"]) + data = { + "id": agent_id, + "user": shared_agent.get("user", ""), + "name": shared_agent.get("name", ""), + "image": ( + generate_image_url(shared_agent["image"]) + if shared_agent.get("image") + else "" + ), + "description": shared_agent.get("description", ""), + "tools": shared_agent.get("tools", []), + "tool_details": resolve_tool_details(shared_agent.get("tools", [])), + "agent_type": shared_agent.get("agent_type", ""), + "status": shared_agent.get("status", ""), + "created_at": shared_agent.get("createdAt", ""), + "updated_at": shared_agent.get("updatedAt", ""), + "shared": shared_agent.get("shared_publicly", False), + "shared_token": shared_agent.get("shared_token", ""), + "shared_metadata": shared_agent.get("shared_metadata", {}), + } + + if data["tools"]: + enriched_tools = [] + for tool in data["tools"]: + tool_data = user_tools_collection.find_one({"_id": ObjectId(tool)}) + if tool_data: + enriched_tools.append(tool_data.get("name", "")) + data["tools"] = enriched_tools + + decoded_token = getattr(request, "decoded_token", None) + if decoded_token: + user_id = decoded_token.get("sub") + owner_id = shared_agent.get("user") + + if user_id != owner_id: + ensure_user_doc(user_id) + users_collection.update_one( + {"user_id": user_id}, + {"$addToSet": {"agent_preferences.shared_with_me": agent_id}}, + ) + + return make_response(jsonify(data), 200) + + except Exception as err: + current_app.logger.error(f"Error retrieving shared agent: {err}") + return make_response(jsonify({"success": False}), 400) + + +@user_ns.route("/api/shared_agents") +class SharedAgents(Resource): + @api.doc(description="Get shared agents explicitly shared with the user") + def get(self): + try: + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user_id = decoded_token.get("sub") + + user_doc = ensure_user_doc(user_id) + shared_with_ids = user_doc.get("agent_preferences", {}).get( + "shared_with_me", [] + ) + shared_object_ids = [ObjectId(id) for id in shared_with_ids] + + shared_agents_cursor = agents_collection.find( + {"_id": {"$in": shared_object_ids}, "shared_publicly": True} + ) + shared_agents = list(shared_agents_cursor) + + found_ids_set = {str(agent["_id"]) for agent in shared_agents} + stale_ids = [id for id in shared_with_ids if id not in found_ids_set] + if stale_ids: + users_collection.update_one( + {"user_id": user_id}, + {"$pullAll": {"agent_preferences.shared_with_me": stale_ids}}, + ) + + pinned_ids = set(user_doc.get("agent_preferences", {}).get("pinned", [])) + + list_shared_agents = [ + { + "id": str(agent["_id"]), + "name": agent.get("name", ""), + "description": agent.get("description", ""), + "image": ( + generate_image_url(agent["image"]) if agent.get("image") else "" + ), + "tools": agent.get("tools", []), + "tool_details": resolve_tool_details(agent.get("tools", [])), + "agent_type": agent.get("agent_type", ""), + "status": agent.get("status", ""), + "created_at": agent.get("createdAt", ""), + "updated_at": agent.get("updatedAt", ""), + "pinned": str(agent["_id"]) in pinned_ids, + "shared": agent.get("shared_publicly", False), + "shared_token": agent.get("shared_token", ""), + "shared_metadata": agent.get("shared_metadata", {}), + } + for agent in shared_agents + ] + + return make_response(jsonify(list_shared_agents), 200) + + except Exception as err: + current_app.logger.error(f"Error retrieving shared agents: {err}") + return make_response(jsonify({"success": False}), 400) + + +@user_ns.route("/api/share_agent") +class ShareAgent(Resource): + @api.expect( + api.model( + "ShareAgentModel", + { + "id": fields.String(required=True, description="ID of the agent"), + "shared": fields.Boolean( + required=True, description="Share or unshare the agent" + ), + "username": fields.String( + required=False, description="Name of the user" + ), + }, + ) + ) + @api.doc(description="Share or unshare an agent") + def put(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + + data = request.get_json() + if not data: + return make_response( + jsonify({"success": False, "message": "Missing JSON body"}), 400 + ) + agent_id = data.get("id") + shared = data.get("shared") + username = data.get("username", "") + + if not agent_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + if shared is None: + return make_response( + jsonify( + { + "success": False, + "message": "Shared parameter is required and must be true or false", + } + ), + 400, + ) + try: + try: + agent_oid = ObjectId(agent_id) + except Exception: + return make_response( + jsonify({"success": False, "message": "Invalid agent ID"}), 400 + ) + agent = agents_collection.find_one({"_id": agent_oid, "user": user}) + if not agent: + return make_response( + jsonify({"success": False, "message": "Agent not found"}), 404 + ) + if shared: + shared_metadata = { + "shared_by": username, + "shared_at": datetime.datetime.now(datetime.timezone.utc), + } + shared_token = secrets.token_urlsafe(32) + agents_collection.update_one( + {"_id": agent_oid, "user": user}, + { + "$set": { + "shared_publicly": shared, + "shared_metadata": shared_metadata, + "shared_token": shared_token, + } + }, + ) + else: + agents_collection.update_one( + {"_id": agent_oid, "user": user}, + {"$set": {"shared_publicly": shared, "shared_token": None}}, + {"$unset": {"shared_metadata": ""}}, + ) + except Exception as err: + current_app.logger.error(f"Error sharing/unsharing agent: {err}") + return make_response(jsonify({"success": False, "error": str(err)}), 400) + shared_token = shared_token if shared else None + return make_response( + jsonify({"success": True, "shared_token": shared_token}), 200 + ) + + +@user_ns.route("/api/agent_webhook") +class AgentWebhook(Resource): + @api.doc( + params={"id": "ID of the agent"}, + description="Generate webhook URL for the agent", + ) + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + agent_id = request.args.get("id") + if not agent_id: + return make_response( + jsonify({"success": False, "message": "ID is required"}), 400 + ) + try: + agent = agents_collection.find_one( + {"_id": ObjectId(agent_id), "user": user} + ) + if not agent: + return make_response( + jsonify({"success": False, "message": "Agent not found"}), 404 + ) + webhook_token = agent.get("incoming_webhook_token") + if not webhook_token: + webhook_token = secrets.token_urlsafe(32) + agents_collection.update_one( + {"_id": ObjectId(agent_id), "user": user}, + {"$set": {"incoming_webhook_token": webhook_token}}, + ) + base_url = settings.API_URL.rstrip("/") + full_webhook_url = f"{base_url}/api/webhooks/agents/{webhook_token}" + except Exception as err: + current_app.logger.error( + f"Error generating webhook URL: {err}", exc_info=True + ) + return make_response( + jsonify({"success": False, "message": "Error generating webhook URL"}), + 400, + ) + return make_response( + jsonify({"success": True, "webhook_url": full_webhook_url}), 200 + ) + + +def require_agent(func): + @wraps(func) + def wrapper(*args, **kwargs): + webhook_token = kwargs.get("webhook_token") + if not webhook_token: + return make_response( + jsonify({"success": False, "message": "Webhook token missing"}), 400 + ) + agent = agents_collection.find_one( + {"incoming_webhook_token": webhook_token}, {"_id": 1} + ) + if not agent: + current_app.logger.warning( + f"Webhook attempt with invalid token: {webhook_token}" + ) + return make_response( + jsonify({"success": False, "message": "Agent not found"}), 404 + ) + kwargs["agent"] = agent + kwargs["agent_id_str"] = str(agent["_id"]) + return func(*args, **kwargs) + + return wrapper + + +@user_ns.route("/api/webhooks/agents/") +class AgentWebhookListener(Resource): + method_decorators = [require_agent] + + def _enqueue_webhook_task(self, agent_id_str, payload, source_method): + if not payload: + current_app.logger.warning( + f"Webhook ({source_method}) received for agent {agent_id_str} with empty payload." + ) + current_app.logger.info( + f"Incoming {source_method} webhook for agent {agent_id_str}. Enqueuing task with payload: {payload}" + ) + + try: + task = process_agent_webhook.delay( + agent_id=agent_id_str, + payload=payload, + ) + current_app.logger.info( + f"Task {task.id} enqueued for agent {agent_id_str} ({source_method})." + ) + return make_response(jsonify({"success": True, "task_id": task.id}), 200) + except Exception as err: + current_app.logger.error( + f"Error enqueuing webhook task ({source_method}) for agent {agent_id_str}: {err}", + exc_info=True, + ) + return make_response( + jsonify({"success": False, "message": "Error processing webhook"}), 500 + ) + + @api.doc( + description="Webhook listener for agent events (POST). Expects JSON payload, which is used to trigger processing.", + ) + def post(self, webhook_token, agent, agent_id_str): + payload = request.get_json() + if payload is None: + return make_response( + jsonify( + { + "success": False, + "message": "Invalid or missing JSON data in request body", + } + ), + 400, + ) + return self._enqueue_webhook_task(agent_id_str, payload, source_method="POST") + + @api.doc( + description="Webhook listener for agent events (GET). Uses URL query parameters as payload to trigger processing.", + ) + def get(self, webhook_token, agent, agent_id_str): + payload = request.args.to_dict(flat=True) + return self._enqueue_webhook_task(agent_id_str, payload, source_method="GET") + + +@user_ns.route("/api/share") +class ShareConversation(Resource): + share_conversation_model = api.model( + "ShareConversationModel", + { + "conversation_id": fields.String( + required=True, description="Conversation ID" + ), + "user": fields.String(description="User ID (optional)"), + "prompt_id": fields.String(description="Prompt ID (optional)"), + "chunks": fields.Integer(description="Chunks count (optional)"), + }, + ) + + @api.expect(share_conversation_model) + @api.doc(description="Share a conversation") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["conversation_id"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + is_promptable = request.args.get("isPromptable", type=inputs.boolean) + if is_promptable is None: + return make_response( + jsonify({"success": False, "message": "isPromptable is required"}), 400 + ) + conversation_id = data["conversation_id"] + + try: + conversation = conversations_collection.find_one( + {"_id": ObjectId(conversation_id)} + ) + if conversation is None: + return make_response( + jsonify( + { + "status": "error", + "message": "Conversation does not exist", + } + ), + 404, + ) + current_n_queries = len(conversation["queries"]) + explicit_binary = Binary.from_uuid( + uuid.uuid4(), UuidRepresentation.STANDARD + ) + + if is_promptable: + prompt_id = data.get("prompt_id", "default") + chunks = data.get("chunks", "2") + + name = conversation["name"] + "(shared)" + new_api_key_data = { + "prompt_id": prompt_id, + "chunks": chunks, + "user": user, + } + + if "source" in data and ObjectId.is_valid(data["source"]): + new_api_key_data["source"] = DBRef( + "sources", ObjectId(data["source"]) + ) + if "retriever" in data: + new_api_key_data["retriever"] = data["retriever"] + pre_existing_api_document = agents_collection.find_one(new_api_key_data) + if pre_existing_api_document: + api_uuid = pre_existing_api_document["key"] + pre_existing = shared_conversations_collections.find_one( + { + "conversation_id": DBRef( + "conversations", ObjectId(conversation_id) + ), + "isPromptable": is_promptable, + "first_n_queries": current_n_queries, + "user": user, + "api_key": api_uuid, + } + ) + if pre_existing is not None: + return make_response( + jsonify( + { + "success": True, + "identifier": str(pre_existing["uuid"].as_uuid()), + } + ), + 200, + ) + else: + shared_conversations_collections.insert_one( + { + "uuid": explicit_binary, + "conversation_id": { + "$ref": "conversations", + "$id": ObjectId(conversation_id), + }, + "isPromptable": is_promptable, + "first_n_queries": current_n_queries, + "user": user, + "api_key": api_uuid, + } + ) + return make_response( + jsonify( + { + "success": True, + "identifier": str(explicit_binary.as_uuid()), + } + ), + 201, + ) + else: + api_uuid = str(uuid.uuid4()) + new_api_key_data["key"] = api_uuid + new_api_key_data["name"] = name + + if "source" in data and ObjectId.is_valid(data["source"]): + new_api_key_data["source"] = DBRef( + "sources", ObjectId(data["source"]) + ) + if "retriever" in data: + new_api_key_data["retriever"] = data["retriever"] + agents_collection.insert_one(new_api_key_data) + shared_conversations_collections.insert_one( + { + "uuid": explicit_binary, + "conversation_id": { + "$ref": "conversations", + "$id": ObjectId(conversation_id), + }, + "isPromptable": is_promptable, + "first_n_queries": current_n_queries, + "user": user, + "api_key": api_uuid, + } + ) + return make_response( + jsonify( + { + "success": True, + "identifier": str(explicit_binary.as_uuid()), + } + ), + 201, + ) + pre_existing = shared_conversations_collections.find_one( + { + "conversation_id": DBRef( + "conversations", ObjectId(conversation_id) + ), + "isPromptable": is_promptable, + "first_n_queries": current_n_queries, + "user": user, + } + ) + if pre_existing is not None: + return make_response( + jsonify( + { + "success": True, + "identifier": str(pre_existing["uuid"].as_uuid()), + } + ), + 200, + ) + else: + shared_conversations_collections.insert_one( + { + "uuid": explicit_binary, + "conversation_id": { + "$ref": "conversations", + "$id": ObjectId(conversation_id), + }, + "isPromptable": is_promptable, + "first_n_queries": current_n_queries, + "user": user, + } + ) + return make_response( + jsonify( + {"success": True, "identifier": str(explicit_binary.as_uuid())} + ), + 201, + ) + except Exception as err: + current_app.logger.error( + f"Error sharing conversation: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + + +@user_ns.route("/api/shared_conversation/") +class GetPubliclySharedConversations(Resource): + @api.doc(description="Get publicly shared conversations by identifier") + def get(self, identifier: str): + try: + query_uuid = Binary.from_uuid( + uuid.UUID(identifier), UuidRepresentation.STANDARD + ) + shared = shared_conversations_collections.find_one({"uuid": query_uuid}) + conversation_queries = [] + + if ( + shared + and "conversation_id" in shared + and isinstance(shared["conversation_id"], DBRef) + ): + conversation_ref = shared["conversation_id"] + conversation = db.dereference(conversation_ref) + if conversation is None: + return make_response( + jsonify( + { + "success": False, + "error": "might have broken url or the conversation does not exist", + } + ), + 404, + ) + conversation_queries = conversation["queries"][ + : (shared["first_n_queries"]) + ] + + for query in conversation_queries: + if "attachments" in query and query["attachments"]: + attachment_details = [] + for attachment_id in query["attachments"]: + try: + attachment = attachments_collection.find_one( + {"_id": ObjectId(attachment_id)} + ) + if attachment: + attachment_details.append( + { + "id": str(attachment["_id"]), + "fileName": attachment.get( + "filename", "Unknown file" + ), + } + ) + except Exception as e: + current_app.logger.error( + f"Error retrieving attachment {attachment_id}: {e}", + exc_info=True, + ) + query["attachments"] = attachment_details + else: + return make_response( + jsonify( + { + "success": False, + "error": "might have broken url or the conversation does not exist", + } + ), + 404, + ) + date = conversation["_id"].generation_time.isoformat() + res = { + "success": True, + "queries": conversation_queries, + "title": conversation["name"], + "timestamp": date, + } + if shared["isPromptable"] and "api_key" in shared: + res["api_key"] = shared["api_key"] + return make_response(jsonify(res), 200) + except Exception as err: + current_app.logger.error( + f"Error getting shared conversation: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + + +@user_ns.route("/api/get_message_analytics") +class GetMessageAnalytics(Resource): + get_message_analytics_model = api.model( + "GetMessageAnalyticsModel", + { + "api_key_id": fields.String(required=False, description="API Key ID"), + "filter_option": fields.String( + required=False, + description="Filter option for analytics", + default="last_30_days", + enum=[ + "last_hour", + "last_24_hour", + "last_7_days", + "last_15_days", + "last_30_days", + ], + ), + }, + ) + + @api.expect(get_message_analytics_model) + @api.doc(description="Get message analytics based on filter option") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + api_key_id = data.get("api_key_id") + filter_option = data.get("filter_option", "last_30_days") + + try: + api_key = ( + agents_collection.find_one({"_id": ObjectId(api_key_id), "user": user})[ + "key" + ] + if api_key_id + else None + ) + except Exception as err: + current_app.logger.error(f"Error getting API key: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + end_date = datetime.datetime.now(datetime.timezone.utc) + + if filter_option == "last_hour": + start_date = end_date - datetime.timedelta(hours=1) + group_format = "%Y-%m-%d %H:%M:00" + elif filter_option == "last_24_hour": + start_date = end_date - datetime.timedelta(hours=24) + group_format = "%Y-%m-%d %H:00" + else: + if filter_option in ["last_7_days", "last_15_days", "last_30_days"]: + filter_days = ( + 6 + if filter_option == "last_7_days" + else 14 if filter_option == "last_15_days" else 29 + ) + else: + return make_response( + jsonify({"success": False, "message": "Invalid option"}), 400 + ) + start_date = end_date - datetime.timedelta(days=filter_days) + start_date = start_date.replace(hour=0, minute=0, second=0, microsecond=0) + end_date = end_date.replace( + hour=23, minute=59, second=59, microsecond=999999 + ) + group_format = "%Y-%m-%d" + try: + match_stage = { + "$match": { + "user": user, + } + } + if api_key: + match_stage["$match"]["api_key"] = api_key + pipeline = [ + match_stage, + {"$unwind": "$queries"}, + { + "$match": { + "queries.timestamp": {"$gte": start_date, "$lte": end_date} + } + }, + { + "$group": { + "_id": { + "$dateToString": { + "format": group_format, + "date": "$queries.timestamp", + } + }, + "count": {"$sum": 1}, + } + }, + {"$sort": {"_id": 1}}, + ] + + message_data = conversations_collection.aggregate(pipeline) + + if filter_option == "last_hour": + intervals = generate_minute_range(start_date, end_date) + elif filter_option == "last_24_hour": + intervals = generate_hourly_range(start_date, end_date) + else: + intervals = generate_date_range(start_date, end_date) + daily_messages = {interval: 0 for interval in intervals} + + for entry in message_data: + daily_messages[entry["_id"]] = entry["count"] + except Exception as err: + current_app.logger.error( + f"Error getting message analytics: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response( + jsonify({"success": True, "messages": daily_messages}), 200 + ) + + +@user_ns.route("/api/get_token_analytics") +class GetTokenAnalytics(Resource): + get_token_analytics_model = api.model( + "GetTokenAnalyticsModel", + { + "api_key_id": fields.String(required=False, description="API Key ID"), + "filter_option": fields.String( + required=False, + description="Filter option for analytics", + default="last_30_days", + enum=[ + "last_hour", + "last_24_hour", + "last_7_days", + "last_15_days", + "last_30_days", + ], + ), + }, + ) + + @api.expect(get_token_analytics_model) + @api.doc(description="Get token analytics data") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + api_key_id = data.get("api_key_id") + filter_option = data.get("filter_option", "last_30_days") + + try: + api_key = ( + agents_collection.find_one({"_id": ObjectId(api_key_id), "user": user})[ + "key" + ] + if api_key_id + else None + ) + except Exception as err: + current_app.logger.error(f"Error getting API key: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + end_date = datetime.datetime.now(datetime.timezone.utc) + + if filter_option == "last_hour": + start_date = end_date - datetime.timedelta(hours=1) + group_format = "%Y-%m-%d %H:%M:00" + group_stage = { + "$group": { + "_id": { + "minute": { + "$dateToString": { + "format": group_format, + "date": "$timestamp", + } + } + }, + "total_tokens": { + "$sum": {"$add": ["$prompt_tokens", "$generated_tokens"]} + }, + } + } + elif filter_option == "last_24_hour": + start_date = end_date - datetime.timedelta(hours=24) + group_format = "%Y-%m-%d %H:00" + group_stage = { + "$group": { + "_id": { + "hour": { + "$dateToString": { + "format": group_format, + "date": "$timestamp", + } + } + }, + "total_tokens": { + "$sum": {"$add": ["$prompt_tokens", "$generated_tokens"]} + }, + } + } + else: + if filter_option in ["last_7_days", "last_15_days", "last_30_days"]: + filter_days = ( + 6 + if filter_option == "last_7_days" + else (14 if filter_option == "last_15_days" else 29) + ) + else: + return make_response( + jsonify({"success": False, "message": "Invalid option"}), 400 + ) + start_date = end_date - datetime.timedelta(days=filter_days) + start_date = start_date.replace(hour=0, minute=0, second=0, microsecond=0) + end_date = end_date.replace( + hour=23, minute=59, second=59, microsecond=999999 + ) + group_format = "%Y-%m-%d" + group_stage = { + "$group": { + "_id": { + "day": { + "$dateToString": { + "format": group_format, + "date": "$timestamp", + } + } + }, + "total_tokens": { + "$sum": {"$add": ["$prompt_tokens", "$generated_tokens"]} + }, + } + } + try: + match_stage = { + "$match": { + "user_id": user, + "timestamp": {"$gte": start_date, "$lte": end_date}, + } + } + if api_key: + match_stage["$match"]["api_key"] = api_key + token_usage_data = token_usage_collection.aggregate( + [ + match_stage, + group_stage, + {"$sort": {"_id": 1}}, + ] + ) + + if filter_option == "last_hour": + intervals = generate_minute_range(start_date, end_date) + elif filter_option == "last_24_hour": + intervals = generate_hourly_range(start_date, end_date) + else: + intervals = generate_date_range(start_date, end_date) + daily_token_usage = {interval: 0 for interval in intervals} + + for entry in token_usage_data: + if filter_option == "last_hour": + daily_token_usage[entry["_id"]["minute"]] = entry["total_tokens"] + elif filter_option == "last_24_hour": + daily_token_usage[entry["_id"]["hour"]] = entry["total_tokens"] + else: + daily_token_usage[entry["_id"]["day"]] = entry["total_tokens"] + except Exception as err: + current_app.logger.error( + f"Error getting token analytics: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response( + jsonify({"success": True, "token_usage": daily_token_usage}), 200 + ) + + +@user_ns.route("/api/get_feedback_analytics") +class GetFeedbackAnalytics(Resource): + get_feedback_analytics_model = api.model( + "GetFeedbackAnalyticsModel", + { + "api_key_id": fields.String(required=False, description="API Key ID"), + "filter_option": fields.String( + required=False, + description="Filter option for analytics", + default="last_30_days", + enum=[ + "last_hour", + "last_24_hour", + "last_7_days", + "last_15_days", + "last_30_days", + ], + ), + }, + ) + + @api.expect(get_feedback_analytics_model) + @api.doc(description="Get feedback analytics data") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + api_key_id = data.get("api_key_id") + filter_option = data.get("filter_option", "last_30_days") + + try: + api_key = ( + agents_collection.find_one({"_id": ObjectId(api_key_id), "user": user})[ + "key" + ] + if api_key_id + else None + ) + except Exception as err: + current_app.logger.error(f"Error getting API key: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + end_date = datetime.datetime.now(datetime.timezone.utc) + + if filter_option == "last_hour": + start_date = end_date - datetime.timedelta(hours=1) + group_format = "%Y-%m-%d %H:%M:00" + date_field = { + "$dateToString": { + "format": group_format, + "date": "$queries.feedback_timestamp", + } + } + elif filter_option == "last_24_hour": + start_date = end_date - datetime.timedelta(hours=24) + group_format = "%Y-%m-%d %H:00" + date_field = { + "$dateToString": { + "format": group_format, + "date": "$queries.feedback_timestamp", + } + } + else: + if filter_option in ["last_7_days", "last_15_days", "last_30_days"]: + filter_days = ( + 6 + if filter_option == "last_7_days" + else (14 if filter_option == "last_15_days" else 29) + ) + else: + return make_response( + jsonify({"success": False, "message": "Invalid option"}), 400 + ) + start_date = end_date - datetime.timedelta(days=filter_days) + start_date = start_date.replace(hour=0, minute=0, second=0, microsecond=0) + end_date = end_date.replace( + hour=23, minute=59, second=59, microsecond=999999 + ) + group_format = "%Y-%m-%d" + date_field = { + "$dateToString": { + "format": group_format, + "date": "$queries.feedback_timestamp", + } + } + try: + match_stage = { + "$match": { + "queries.feedback_timestamp": { + "$gte": start_date, + "$lte": end_date, + }, + "queries.feedback": {"$exists": True}, + } + } + if api_key: + match_stage["$match"]["api_key"] = api_key + pipeline = [ + match_stage, + {"$unwind": "$queries"}, + {"$match": {"queries.feedback": {"$exists": True}}}, + { + "$group": { + "_id": {"time": date_field, "feedback": "$queries.feedback"}, + "count": {"$sum": 1}, + } + }, + { + "$group": { + "_id": "$_id.time", + "positive": { + "$sum": { + "$cond": [ + {"$eq": ["$_id.feedback", "LIKE"]}, + "$count", + 0, + ] + } + }, + "negative": { + "$sum": { + "$cond": [ + {"$eq": ["$_id.feedback", "DISLIKE"]}, + "$count", + 0, + ] + } + }, + } + }, + {"$sort": {"_id": 1}}, + ] + + feedback_data = conversations_collection.aggregate(pipeline) + + if filter_option == "last_hour": + intervals = generate_minute_range(start_date, end_date) + elif filter_option == "last_24_hour": + intervals = generate_hourly_range(start_date, end_date) + else: + intervals = generate_date_range(start_date, end_date) + daily_feedback = { + interval: {"positive": 0, "negative": 0} for interval in intervals + } + + for entry in feedback_data: + daily_feedback[entry["_id"]] = { + "positive": entry["positive"], + "negative": entry["negative"], + } + except Exception as err: + current_app.logger.error( + f"Error getting feedback analytics: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response( + jsonify({"success": True, "feedback": daily_feedback}), 200 + ) + + +@user_ns.route("/api/get_user_logs") +class GetUserLogs(Resource): + get_user_logs_model = api.model( + "GetUserLogsModel", + { + "page": fields.Integer( + required=False, + description="Page number for pagination", + default=1, + ), + "api_key_id": fields.String(required=False, description="API Key ID"), + "page_size": fields.Integer( + required=False, + description="Number of logs per page", + default=10, + ), + }, + ) + + @api.expect(get_user_logs_model) + @api.doc(description="Get user logs with pagination") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + page = int(data.get("page", 1)) + api_key_id = data.get("api_key_id") + page_size = int(data.get("page_size", 10)) + skip = (page - 1) * page_size + + try: + api_key = ( + agents_collection.find_one({"_id": ObjectId(api_key_id)})["key"] + if api_key_id + else None + ) + except Exception as err: + current_app.logger.error(f"Error getting API key: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + query = {"user": user} + if api_key: + query = {"api_key": api_key} + items_cursor = ( + user_logs_collection.find(query) + .sort("timestamp", -1) + .skip(skip) + .limit(page_size + 1) + ) + items = list(items_cursor) + + results = [ + { + "id": str(item.get("_id")), + "action": item.get("action"), + "level": item.get("level"), + "user": item.get("user"), + "question": item.get("question"), + "sources": item.get("sources"), + "retriever_params": item.get("retriever_params"), + "timestamp": item.get("timestamp"), + } + for item in items[:page_size] + ] + + has_more = len(items) > page_size + + return make_response( + jsonify( + { + "success": True, + "logs": results, + "page": page, + "page_size": page_size, + "has_more": has_more, + } + ), + 200, + ) + + +@user_ns.route("/api/manage_sync") +class ManageSync(Resource): + manage_sync_model = api.model( + "ManageSyncModel", + { + "source_id": fields.String(required=True, description="Source ID"), + "sync_frequency": fields.String( + required=True, + description="Sync frequency (never, daily, weekly, monthly)", + ), + }, + ) + + @api.expect(manage_sync_model) + @api.doc(description="Manage sync frequency for sources") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["source_id", "sync_frequency"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + source_id = data["source_id"] + sync_frequency = data["sync_frequency"] + + if sync_frequency not in ["never", "daily", "weekly", "monthly"]: + return make_response( + jsonify({"success": False, "message": "Invalid frequency"}), 400 + ) + update_data = {"$set": {"sync_frequency": sync_frequency}} + try: + sources_collection.update_one( + { + "_id": ObjectId(source_id), + "user": user, + }, + update_data, + ) + except Exception as err: + current_app.logger.error( + f"Error updating sync frequency: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/tts") +class TextToSpeech(Resource): + tts_model = api.model( + "TextToSpeechModel", + { + "text": fields.String( + required=True, description="Text to be synthesized as audio" + ), + }, + ) + + @api.expect(tts_model) + @api.doc(description="Synthesize audio speech from text") + def post(self): + data = request.get_json() + text = data["text"] + try: + tts_instance = GoogleTTS() + audio_base64, detected_language = tts_instance.text_to_speech(text) + return make_response( + jsonify( + { + "success": True, + "audio_base64": audio_base64, + "lang": detected_language, + } + ), + 200, + ) + except Exception as err: + current_app.logger.error(f"Error synthesizing audio: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + + +@user_ns.route("/api/available_tools") +class AvailableTools(Resource): + @api.doc(description="Get available tools for a user") + def get(self): + try: + tools_metadata = [] + for tool_name, tool_instance in tool_manager.tools.items(): + doc = tool_instance.__doc__.strip() + lines = doc.split("\n", 1) + name = lines[0].strip() + description = lines[1].strip() if len(lines) > 1 else "" + tools_metadata.append( + { + "name": tool_name, + "displayName": name, + "description": description, + "configRequirements": tool_instance.get_config_requirements(), + "actions": tool_instance.get_actions_metadata(), + } + ) + except Exception as err: + current_app.logger.error( + f"Error getting available tools: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True, "data": tools_metadata}), 200) + + +@user_ns.route("/api/get_tools") +class GetTools(Resource): + @api.doc(description="Get tools created by a user") + def get(self): + try: + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + tools = user_tools_collection.find({"user": user}) + user_tools = [] + for tool in tools: + tool["id"] = str(tool["_id"]) + tool.pop("_id") + user_tools.append(tool) + except Exception as err: + current_app.logger.error(f"Error getting user tools: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True, "tools": user_tools}), 200) + + +@user_ns.route("/api/create_tool") +class CreateTool(Resource): + @api.expect( + api.model( + "CreateToolModel", + { + "name": fields.String(required=True, description="Name of the tool"), + "displayName": fields.String( + required=True, description="Display name for the tool" + ), + "description": fields.String( + required=True, description="Tool description" + ), + "config": fields.Raw( + required=True, description="Configuration of the tool" + ), + "customName": fields.String( + required=False, description="Custom name for the tool" + ), + "actions": fields.List( + fields.Raw, + required=True, + description="Actions the tool can perform", + ), + "status": fields.Boolean( + required=True, description="Status of the tool" + ), + }, + ) + ) + @api.doc(description="Create a new tool") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = [ + "name", + "displayName", + "description", + "actions", + "config", + "status", + ] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + transformed_actions = [] + for action in data["actions"]: + action["active"] = True + if "parameters" in action: + if "properties" in action["parameters"]: + for param_name, param_details in action["parameters"][ + "properties" + ].items(): + param_details["filled_by_llm"] = True + param_details["value"] = "" + transformed_actions.append(action) + try: + new_tool = { + "user": user, + "name": data["name"], + "displayName": data["displayName"], + "description": data["description"], + "customName": data.get("customName", ""), + "actions": transformed_actions, + "config": data["config"], + "status": data["status"], + } + resp = user_tools_collection.insert_one(new_tool) + new_id = str(resp.inserted_id) + except Exception as err: + current_app.logger.error(f"Error creating tool: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"id": new_id}), 200) + + +@user_ns.route("/api/update_tool") +class UpdateTool(Resource): + @api.expect( + api.model( + "UpdateToolModel", + { + "id": fields.String(required=True, description="Tool ID"), + "name": fields.String(description="Name of the tool"), + "displayName": fields.String(description="Display name for the tool"), + "customName": fields.String(description="Custom name for the tool"), + "description": fields.String(description="Tool description"), + "config": fields.Raw(description="Configuration of the tool"), + "actions": fields.List( + fields.Raw, description="Actions the tool can perform" + ), + "status": fields.Boolean(description="Status of the tool"), + }, + ) + ) + @api.doc(description="Update a tool by ID") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + update_data = {} + if "name" in data: + update_data["name"] = data["name"] + if "displayName" in data: + update_data["displayName"] = data["displayName"] + if "customName" in data: + update_data["customName"] = data["customName"] + if "description" in data: + update_data["description"] = data["description"] + if "actions" in data: + update_data["actions"] = data["actions"] + if "config" in data: + if "actions" in data["config"]: + for action_name in list(data["config"]["actions"].keys()): + if not validate_function_name(action_name): + return make_response( + jsonify( + { + "success": False, + "message": f"Invalid function name '{action_name}'. Function names must match pattern '^[a-zA-Z0-9_-]+$'.", + "param": "tools[].function.name", + } + ), + 400, + ) + update_data["config"] = data["config"] + if "status" in data: + update_data["status"] = data["status"] + user_tools_collection.update_one( + {"_id": ObjectId(data["id"]), "user": user}, + {"$set": update_data}, + ) + except Exception as err: + current_app.logger.error(f"Error updating tool: {err}", exc_info=True) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/update_tool_config") +class UpdateToolConfig(Resource): + @api.expect( + api.model( + "UpdateToolConfigModel", + { + "id": fields.String(required=True, description="Tool ID"), + "config": fields.Raw( + required=True, description="Configuration of the tool" + ), + }, + ) + ) + @api.doc(description="Update the configuration of a tool") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id", "config"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + user_tools_collection.update_one( + {"_id": ObjectId(data["id"]), "user": user}, + {"$set": {"config": data["config"]}}, + ) + except Exception as err: + current_app.logger.error( + f"Error updating tool config: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/update_tool_actions") +class UpdateToolActions(Resource): + @api.expect( + api.model( + "UpdateToolActionsModel", + { + "id": fields.String(required=True, description="Tool ID"), + "actions": fields.List( + fields.Raw, + required=True, + description="Actions the tool can perform", + ), + }, + ) + ) + @api.doc(description="Update the actions of a tool") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id", "actions"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + user_tools_collection.update_one( + {"_id": ObjectId(data["id"]), "user": user}, + {"$set": {"actions": data["actions"]}}, + ) + except Exception as err: + current_app.logger.error( + f"Error updating tool actions: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/update_tool_status") +class UpdateToolStatus(Resource): + @api.expect( + api.model( + "UpdateToolStatusModel", + { + "id": fields.String(required=True, description="Tool ID"), + "status": fields.Boolean( + required=True, description="Status of the tool" + ), + }, + ) + ) + @api.doc(description="Update the status of a tool") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id", "status"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + user_tools_collection.update_one( + {"_id": ObjectId(data["id"]), "user": user}, + {"$set": {"status": data["status"]}}, + ) + except Exception as err: + current_app.logger.error( + f"Error updating tool status: {err}", exc_info=True + ) + return make_response(jsonify({"success": False}), 400) + return make_response(jsonify({"success": True}), 200) + + +@user_ns.route("/api/delete_tool") +class DeleteTool(Resource): + @api.expect( + api.model( + "DeleteToolModel", + {"id": fields.String(required=True, description="Tool ID")}, + ) + ) + @api.doc(description="Delete a tool by ID") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + try: + result = user_tools_collection.delete_one( + {"_id": ObjectId(data["id"]), "user": user} + ) + if result.deleted_count == 0: + return {"success": False, "message": "Tool not found"}, 404 + except Exception as err: + current_app.logger.error(f"Error deleting tool: {err}", exc_info=True) + return {"success": False}, 400 + return {"success": True}, 200 + + +@user_ns.route("/api/get_chunks") +class GetChunks(Resource): + @api.doc( + description="Retrieves all chunks associated with a document", + params={"id": "The document ID"}, + ) + def get(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + doc_id = request.args.get("id") + page = int(request.args.get("page", 1)) + per_page = int(request.args.get("per_page", 10)) + + if not ObjectId.is_valid(doc_id): + return make_response(jsonify({"error": "Invalid doc_id"}), 400) + doc = sources_collection.find_one({"_id": ObjectId(doc_id), "user": user}) + if not doc: + return make_response( + jsonify({"error": "Document not found or access denied"}), 404 + ) + try: + store = get_vector_store(doc_id) + chunks = store.get_chunks() + total_chunks = len(chunks) + start = (page - 1) * per_page + end = start + per_page + paginated_chunks = chunks[start:end] + + return make_response( + jsonify( + { + "page": page, + "per_page": per_page, + "total": total_chunks, + "chunks": paginated_chunks, + } + ), + 200, + ) + except Exception as e: + current_app.logger.error(f"Error getting chunks: {e}", exc_info=True) + return make_response(jsonify({"success": False}), 500) + + +@user_ns.route("/api/add_chunk") +class AddChunk(Resource): + @api.expect( + api.model( + "AddChunkModel", + { + "id": fields.String(required=True, description="Document ID"), + "text": fields.String(required=True, description="Text of the chunk"), + "metadata": fields.Raw( + required=False, + description="Metadata associated with the chunk", + ), + }, + ) + ) + @api.doc( + description="Adds a new chunk to the document", + ) + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id", "text"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + doc_id = data.get("id") + text = data.get("text") + metadata = data.get("metadata", {}) + + if not ObjectId.is_valid(doc_id): + return make_response(jsonify({"error": "Invalid doc_id"}), 400) + doc = sources_collection.find_one({"_id": ObjectId(doc_id), "user": user}) + if not doc: + return make_response( + jsonify({"error": "Document not found or access denied"}), 404 + ) + try: + store = get_vector_store(doc_id) + chunk_id = store.add_chunk(text, metadata) + return make_response( + jsonify({"message": "Chunk added successfully", "chunk_id": chunk_id}), + 201, + ) + except Exception as e: + current_app.logger.error(f"Error adding chunk: {e}", exc_info=True) + return make_response(jsonify({"success": False}), 500) + + +@user_ns.route("/api/delete_chunk") +class DeleteChunk(Resource): + @api.doc( + description="Deletes a specific chunk from the document.", + params={"id": "The document ID", "chunk_id": "The ID of the chunk to delete"}, + ) + def delete(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + doc_id = request.args.get("id") + chunk_id = request.args.get("chunk_id") + + if not ObjectId.is_valid(doc_id): + return make_response(jsonify({"error": "Invalid doc_id"}), 400) + doc = sources_collection.find_one({"_id": ObjectId(doc_id), "user": user}) + if not doc: + return make_response( + jsonify({"error": "Document not found or access denied"}), 404 + ) + try: + store = get_vector_store(doc_id) + deleted = store.delete_chunk(chunk_id) + if deleted: + return make_response( + jsonify({"message": "Chunk deleted successfully"}), 200 + ) + else: + return make_response( + jsonify({"message": "Chunk not found or could not be deleted"}), + 404, + ) + except Exception as e: + current_app.logger.error(f"Error deleting chunk: {e}", exc_info=True) + return make_response(jsonify({"success": False}), 500) + + +@user_ns.route("/api/update_chunk") +class UpdateChunk(Resource): + @api.expect( + api.model( + "UpdateChunkModel", + { + "id": fields.String(required=True, description="Document ID"), + "chunk_id": fields.String( + required=True, description="Chunk ID to update" + ), + "text": fields.String( + required=False, description="New text of the chunk" + ), + "metadata": fields.Raw( + required=False, + description="Updated metadata associated with the chunk", + ), + }, + ) + ) + @api.doc( + description="Updates an existing chunk in the document.", + ) + def put(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + user = decoded_token.get("sub") + data = request.get_json() + required_fields = ["id", "chunk_id"] + missing_fields = check_required_fields(data, required_fields) + if missing_fields: + return missing_fields + doc_id = data.get("id") + chunk_id = data.get("chunk_id") + text = data.get("text") + metadata = data.get("metadata") + + if not ObjectId.is_valid(doc_id): + return make_response(jsonify({"error": "Invalid doc_id"}), 400) + doc = sources_collection.find_one({"_id": ObjectId(doc_id), "user": user}) + if not doc: + return make_response( + jsonify({"error": "Document not found or access denied"}), 404 + ) + try: + store = get_vector_store(doc_id) + chunks = store.get_chunks() + existing_chunk = next((c for c in chunks if c["doc_id"] == chunk_id), None) + if not existing_chunk: + return make_response(jsonify({"error": "Chunk not found"}), 404) + deleted = store.delete_chunk(chunk_id) + if not deleted: + return make_response( + jsonify({"error": "Failed to delete existing chunk"}), 500 + ) + new_text = text if text is not None else existing_chunk["text"] + new_metadata = ( + metadata if metadata is not None else existing_chunk["metadata"] + ) + + new_chunk_id = store.add_chunk(new_text, new_metadata) + + return make_response( + jsonify( + { + "message": "Chunk updated successfully", + "new_chunk_id": new_chunk_id, + } + ), + 200, + ) + except Exception as e: + current_app.logger.error(f"Error updating chunk: {e}", exc_info=True) + return make_response(jsonify({"success": False}), 500) + + +@user_ns.route("/api/store_attachment") +class StoreAttachment(Resource): + @api.expect( + api.model( + "AttachmentModel", + { + "file": fields.Raw(required=True, description="File to upload"), + }, + ) + ) + @api.doc(description="Stores a single attachment without vectorization or training") + def post(self): + decoded_token = request.decoded_token + if not decoded_token: + return make_response(jsonify({"success": False}), 401) + file = request.files.get("file") + + if not file or file.filename == "": + return make_response( + jsonify({"status": "error", "message": "Missing file"}), + 400, + ) + user = safe_filename(decoded_token.get("sub")) + + try: + attachment_id = ObjectId() + original_filename = secure_filename(os.path.basename(file.filename)) + relative_path = f"{settings.UPLOAD_FOLDER}/{user}/attachments/{str(attachment_id)}/{original_filename}" + + metadata = storage.save_file(file, relative_path) + + file_info = { + "filename": original_filename, + "attachment_id": str(attachment_id), + "path": relative_path, + "metadata": metadata, + } + + task = store_attachment.delay(file_info, user) + + return make_response( + jsonify( + { + "success": True, + "task_id": task.id, + "message": "File uploaded successfully. Processing started.", + } + ), + 200, + ) + except Exception as err: + current_app.logger.error(f"Error storing attachment: {err}", exc_info=True) + return make_response(jsonify({"success": False, "error": str(err)}), 400) + + +@user_ns.route("/api/images/") +class ServeImage(Resource): + @api.doc(description="Serve an image from storage") + def get(self, image_path): + try: + file_obj = storage.get_file(image_path) + extension = image_path.split(".")[-1].lower() + content_type = f"image/{extension}" + if extension == "jpg": + content_type = "image/jpeg" + + response = make_response(file_obj.read()) + response.headers.set("Content-Type", content_type) + response.headers.set("Cache-Control", "max-age=86400") + + return response + except FileNotFoundError: + return make_response( + jsonify({"success": False, "message": "Image not found"}), 404 + ) + except Exception as e: + current_app.logger.error(f"Error serving image: {e}") + return make_response( + jsonify({"success": False, "message": "Error retrieving image"}), 500 + ) diff --git a/application/api/user/tasks.py b/application/api/user/tasks.py new file mode 100644 index 00000000..c7003ef3 --- /dev/null +++ b/application/api/user/tasks.py @@ -0,0 +1,56 @@ +from datetime import timedelta + +from application.celery_init import celery +from application.worker import ( + agent_webhook_worker, + attachment_worker, + ingest_worker, + remote_worker, + sync_worker, +) + + +@celery.task(bind=True) +def ingest(self, directory, formats, job_name, filename, user, dir_name, user_dir): + resp = ingest_worker(self, directory, formats, job_name, filename, user, dir_name, user_dir) + return resp + + +@celery.task(bind=True) +def ingest_remote(self, source_data, job_name, user, loader): + resp = remote_worker(self, source_data, job_name, user, loader) + return resp + + +@celery.task(bind=True) +def schedule_syncs(self, frequency): + resp = sync_worker(self, frequency) + return resp + + +@celery.task(bind=True) +def store_attachment(self, file_info, user): + resp = attachment_worker(self, file_info, user) + return resp + + +@celery.task(bind=True) +def process_agent_webhook(self, agent_id, payload): + resp = agent_webhook_worker(self, agent_id, payload) + return resp + + +@celery.on_after_configure.connect +def setup_periodic_tasks(sender, **kwargs): + sender.add_periodic_task( + timedelta(days=1), + schedule_syncs.s("daily"), + ) + sender.add_periodic_task( + timedelta(weeks=1), + schedule_syncs.s("weekly"), + ) + sender.add_periodic_task( + timedelta(days=30), + schedule_syncs.s("monthly"), + ) diff --git a/application/app.py b/application/app.py new file mode 100644 index 00000000..7ca0ac2b --- /dev/null +++ b/application/app.py @@ -0,0 +1,116 @@ +import os +import platform +import uuid + +import dotenv +from flask import Flask, jsonify, redirect, request +from jose import jwt + +from application.auth import handle_auth + +from application.core.logging_config import setup_logging + +setup_logging() + +from application.api.answer.routes import answer # noqa: E402 +from application.api.internal.routes import internal # noqa: E402 +from application.api.user.routes import user # noqa: E402 +from application.celery_init import celery # noqa: E402 +from application.core.settings import settings # noqa: E402 +from application.extensions import api # noqa: E402 + + +if platform.system() == "Windows": + import pathlib + + pathlib.PosixPath = pathlib.WindowsPath + +dotenv.load_dotenv() + +app = Flask(__name__) +app.register_blueprint(user) +app.register_blueprint(answer) +app.register_blueprint(internal) +app.config.update( + UPLOAD_FOLDER="inputs", + CELERY_BROKER_URL=settings.CELERY_BROKER_URL, + CELERY_RESULT_BACKEND=settings.CELERY_RESULT_BACKEND, + MONGO_URI=settings.MONGO_URI, +) +celery.config_from_object("application.celeryconfig") +api.init_app(app) + +if settings.AUTH_TYPE in ("simple_jwt", "session_jwt") and not settings.JWT_SECRET_KEY: + key_file = ".jwt_secret_key" + try: + with open(key_file, "r") as f: + settings.JWT_SECRET_KEY = f.read().strip() + except FileNotFoundError: + new_key = os.urandom(32).hex() + with open(key_file, "w") as f: + f.write(new_key) + settings.JWT_SECRET_KEY = new_key + except Exception as e: + raise RuntimeError(f"Failed to setup JWT_SECRET_KEY: {e}") + +SIMPLE_JWT_TOKEN = None +if settings.AUTH_TYPE == "simple_jwt": + payload = {"sub": "local"} + SIMPLE_JWT_TOKEN = jwt.encode(payload, settings.JWT_SECRET_KEY, algorithm="HS256") + print(f"Generated Simple JWT Token: {SIMPLE_JWT_TOKEN}") + + +@app.route("/") +def home(): + if request.remote_addr in ("0.0.0.0", "127.0.0.1", "localhost", "172.18.0.1"): + return redirect("http://localhost:5173") + else: + return "Welcome to DocsGPT Backend!" + + +@app.route("/api/config") +def get_config(): + response = { + "auth_type": settings.AUTH_TYPE, + "requires_auth": settings.AUTH_TYPE in ["simple_jwt", "session_jwt"], + } + return jsonify(response) + + +@app.route("/api/generate_token") +def generate_token(): + if settings.AUTH_TYPE == "session_jwt": + new_user_id = str(uuid.uuid4()) + token = jwt.encode( + {"sub": new_user_id}, settings.JWT_SECRET_KEY, algorithm="HS256" + ) + return jsonify({"token": token}) + return jsonify({"error": "Token generation not allowed in current auth mode"}), 400 + + +@app.before_request +def authenticate_request(): + if request.method == "OPTIONS": + return "", 200 + + decoded_token = handle_auth(request) + if not decoded_token: + request.decoded_token = None + elif "error" in decoded_token: + return jsonify(decoded_token), 401 + else: + request.decoded_token = decoded_token + + +@app.after_request +def after_request(response): + response.headers.add("Access-Control-Allow-Origin", "*") + response.headers.add("Access-Control-Allow-Headers", "Content-Type, Authorization") + response.headers.add( + "Access-Control-Allow-Methods", "GET, POST, PUT, DELETE, OPTIONS" + ) + return response + + +if __name__ == "__main__": + app.run(debug=settings.FLASK_DEBUG_MODE, port=7091) diff --git a/application/auth.py b/application/auth.py new file mode 100644 index 00000000..78926c45 --- /dev/null +++ b/application/auth.py @@ -0,0 +1,28 @@ +from jose import jwt + +from application.core.settings import settings + + +def handle_auth(request, data={}): + if settings.AUTH_TYPE in ["simple_jwt", "session_jwt"]: + jwt_token = request.headers.get("Authorization") + if not jwt_token: + return None + + jwt_token = jwt_token.replace("Bearer ", "") + + try: + decoded_token = jwt.decode( + jwt_token, + settings.JWT_SECRET_KEY, + algorithms=["HS256"], + options={"verify_exp": False}, + ) + return decoded_token + except Exception as e: + return { + "message": f"Authentication error: {str(e)}", + "error": "invalid_token", + } + else: + return {"sub": "local"} diff --git a/application/cache.py b/application/cache.py new file mode 100644 index 00000000..3fdb6b8d --- /dev/null +++ b/application/cache.py @@ -0,0 +1,117 @@ +import json +import logging +import time +from threading import Lock + +import redis + +from application.core.settings import settings +from application.utils import get_hash + +logger = logging.getLogger(__name__) + +_redis_instance = None +_redis_creation_failed = False +_instance_lock = Lock() + +def get_redis_instance(): + global _redis_instance, _redis_creation_failed + if _redis_instance is None and not _redis_creation_failed: + with _instance_lock: + if _redis_instance is None and not _redis_creation_failed: + try: + _redis_instance = redis.Redis.from_url( + settings.CACHE_REDIS_URL, socket_connect_timeout=2 + ) + except ValueError as e: + logger.error(f"Invalid Redis URL: {e}") + _redis_creation_failed = True # Stop future attempts + _redis_instance = None + except redis.ConnectionError as e: + logger.error(f"Redis connection error: {e}") + _redis_instance = None # Keep trying for connection errors + return _redis_instance + + +def gen_cache_key(messages, model="docgpt", tools=None): + if not all(isinstance(msg, dict) for msg in messages): + raise ValueError("All messages must be dictionaries.") + messages_str = json.dumps(messages) + tools_str = json.dumps(str(tools)) if tools else "" + combined = f"{model}_{messages_str}_{tools_str}" + cache_key = get_hash(combined) + return cache_key + + +def gen_cache(func): + def wrapper(self, model, messages, stream, tools=None, *args, **kwargs): + if tools is not None: + return func(self, model, messages, stream, tools, *args, **kwargs) + + try: + cache_key = gen_cache_key(messages, model, tools) + except ValueError as e: + logger.error(f"Cache key generation failed: {e}") + return func(self, model, messages, stream, tools, *args, **kwargs) + + redis_client = get_redis_instance() + if redis_client: + try: + cached_response = redis_client.get(cache_key) + if cached_response: + return cached_response.decode("utf-8") + except Exception as e: + logger.error(f"Error getting cached response: {e}", exc_info=True) + + result = func(self, model, messages, stream, tools, *args, **kwargs) + if redis_client and isinstance(result, str): + try: + redis_client.set(cache_key, result, ex=1800) + except Exception as e: + logger.error(f"Error setting cache: {e}", exc_info=True) + + return result + + return wrapper + + +def stream_cache(func): + def wrapper(self, model, messages, stream, tools=None, *args, **kwargs): + if tools is not None: + yield from func(self, model, messages, stream, tools, *args, **kwargs) + return + + try: + cache_key = gen_cache_key(messages, model, tools) + except ValueError as e: + logger.error(f"Cache key generation failed: {e}") + yield from func(self, model, messages, stream, tools, *args, **kwargs) + return + + redis_client = get_redis_instance() + if redis_client: + try: + cached_response = redis_client.get(cache_key) + if cached_response: + logger.info(f"Cache hit for stream key: {cache_key}") + cached_response = json.loads(cached_response.decode("utf-8")) + for chunk in cached_response: + yield chunk + time.sleep(0.03) # Simulate streaming delay + return + except Exception as e: + logger.error(f"Error getting cached stream: {e}", exc_info=True) + + stream_cache_data = [] + for chunk in func(self, model, messages, stream, tools, *args, **kwargs): + yield chunk + stream_cache_data.append(str(chunk)) + + if redis_client: + try: + redis_client.set(cache_key, json.dumps(stream_cache_data), ex=1800) + logger.info(f"Stream cache saved for key: {cache_key}") + except Exception as e: + logger.error(f"Error setting stream cache: {e}", exc_info=True) + + return wrapper diff --git a/application/celery_init.py b/application/celery_init.py new file mode 100644 index 00000000..185cc87f --- /dev/null +++ b/application/celery_init.py @@ -0,0 +1,23 @@ +from celery import Celery +from application.core.settings import settings +from celery.signals import setup_logging + + +def make_celery(app_name=__name__): + celery = Celery( + app_name, + broker=settings.CELERY_BROKER_URL, + backend=settings.CELERY_RESULT_BACKEND, + ) + celery.conf.update(settings) + return celery + + +@setup_logging.connect +def config_loggers(*args, **kwargs): + from application.core.logging_config import setup_logging + + setup_logging() + + +celery = make_celery() diff --git a/application/celeryconfig.py b/application/celeryconfig.py new file mode 100644 index 00000000..712b3bfc --- /dev/null +++ b/application/celeryconfig.py @@ -0,0 +1,8 @@ +import os + +broker_url = os.getenv("CELERY_BROKER_URL") +result_backend = os.getenv("CELERY_RESULT_BACKEND") + +task_serializer = 'json' +result_serializer = 'json' +accept_content = ['json'] diff --git a/application/core/__init__.py b/application/core/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/core/logging_config.py b/application/core/logging_config.py new file mode 100644 index 00000000..e693cb91 --- /dev/null +++ b/application/core/logging_config.py @@ -0,0 +1,22 @@ +from logging.config import dictConfig + +def setup_logging(): + dictConfig({ + 'version': 1, + 'formatters': { + 'default': { + 'format': '[%(asctime)s] %(levelname)s in %(module)s: %(message)s', + } + }, + "handlers": { + "console": { + "class": "logging.StreamHandler", + "stream": "ext://sys.stdout", + "formatter": "default", + } + }, + 'root': { + 'level': 'INFO', + 'handlers': ['console'], + }, + }) \ No newline at end of file diff --git a/application/core/mongo_db.py b/application/core/mongo_db.py new file mode 100644 index 00000000..52006aa7 --- /dev/null +++ b/application/core/mongo_db.py @@ -0,0 +1,24 @@ +from application.core.settings import settings +from pymongo import MongoClient + + +class MongoDB: + _client = None + + @classmethod + def get_client(cls): + """ + Get the MongoDB client instance, creating it if necessary. + """ + if cls._client is None: + cls._client = MongoClient(settings.MONGO_URI) + return cls._client + + @classmethod + def close_client(cls): + """ + Close the MongoDB client connection. + """ + if cls._client is not None: + cls._client.close() + cls._client = None diff --git a/application/core/settings.py b/application/core/settings.py new file mode 100644 index 00000000..7030022a --- /dev/null +++ b/application/core/settings.py @@ -0,0 +1,112 @@ +import os +from pathlib import Path +from typing import Optional + +from pydantic_settings import BaseSettings + +current_dir = os.path.dirname( + os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +) + + +class Settings(BaseSettings): + AUTH_TYPE: Optional[str] = None + LLM_PROVIDER: str = "docsgpt" + LLM_NAME: Optional[str] = ( + None # if LLM_PROVIDER is openai, LLM_NAME can be gpt-4 or gpt-3.5-turbo + ) + EMBEDDINGS_NAME: str = "huggingface_sentence-transformers/all-mpnet-base-v2" + CELERY_BROKER_URL: str = "redis://localhost:6379/0" + CELERY_RESULT_BACKEND: str = "redis://localhost:6379/1" + MONGO_URI: str = "mongodb://localhost:27017/docsgpt" + MONGO_DB_NAME: str = "docsgpt" + LLM_PATH: str = os.path.join(current_dir, "models/docsgpt-7b-f16.gguf") + DEFAULT_MAX_HISTORY: int = 150 + LLM_TOKEN_LIMITS: dict = { + "gpt-4o-mini": 128000, + "gpt-3.5-turbo": 4096, + "claude-2": 1e5, + "gemini-2.0-flash-exp": 1e6, + } + UPLOAD_FOLDER: str = "inputs" + PARSE_PDF_AS_IMAGE: bool = False + VECTOR_STORE: str = ( + "faiss" # "faiss" or "elasticsearch" or "qdrant" or "milvus" or "lancedb" + ) + RETRIEVERS_ENABLED: list = ["classic_rag", "duckduck_search"] # also brave_search + AGENT_NAME: str = "classic" + FALLBACK_LLM_PROVIDER: Optional[str] = None # provider for fallback llm + FALLBACK_LLM_NAME: Optional[str] = None # model name for fallback llm + FALLBACK_LLM_API_KEY: Optional[str] = None # api key for fallback llm + + # LLM Cache + CACHE_REDIS_URL: str = "redis://localhost:6379/2" + + API_URL: str = "http://localhost:7091" # backend url for celery worker + + API_KEY: Optional[str] = None # LLM api key + EMBEDDINGS_KEY: Optional[str] = ( + None # api key for embeddings (if using openai, just copy API_KEY) + ) + OPENAI_API_BASE: Optional[str] = None # azure openai api base url + OPENAI_API_VERSION: Optional[str] = None # azure openai api version + AZURE_DEPLOYMENT_NAME: Optional[str] = None # azure deployment name for answering + AZURE_EMBEDDINGS_DEPLOYMENT_NAME: Optional[str] = ( + None # azure deployment name for embeddings + ) + OPENAI_BASE_URL: Optional[str] = ( + None # openai base url for open ai compatable models + ) + + # elasticsearch + ELASTIC_CLOUD_ID: Optional[str] = None # cloud id for elasticsearch + ELASTIC_USERNAME: Optional[str] = None # username for elasticsearch + ELASTIC_PASSWORD: Optional[str] = None # password for elasticsearch + ELASTIC_URL: Optional[str] = None # url for elasticsearch + ELASTIC_INDEX: Optional[str] = "docsgpt" # index name for elasticsearch + + # SageMaker config + SAGEMAKER_ENDPOINT: Optional[str] = None # SageMaker endpoint name + SAGEMAKER_REGION: Optional[str] = None # SageMaker region name + SAGEMAKER_ACCESS_KEY: Optional[str] = None # SageMaker access key + SAGEMAKER_SECRET_KEY: Optional[str] = None # SageMaker secret key + + # prem ai project id + PREMAI_PROJECT_ID: Optional[str] = None + + # Qdrant vectorstore config + QDRANT_COLLECTION_NAME: Optional[str] = "docsgpt" + QDRANT_LOCATION: Optional[str] = None + QDRANT_URL: Optional[str] = None + QDRANT_PORT: Optional[int] = 6333 + QDRANT_GRPC_PORT: int = 6334 + QDRANT_PREFER_GRPC: bool = False + QDRANT_HTTPS: Optional[bool] = None + QDRANT_API_KEY: Optional[str] = None + QDRANT_PREFIX: Optional[str] = None + QDRANT_TIMEOUT: Optional[float] = None + QDRANT_HOST: Optional[str] = None + QDRANT_PATH: Optional[str] = None + QDRANT_DISTANCE_FUNC: str = "Cosine" + + # Milvus vectorstore config + MILVUS_COLLECTION_NAME: Optional[str] = "docsgpt" + MILVUS_URI: Optional[str] = "./milvus_local.db" # milvus lite version as default + MILVUS_TOKEN: Optional[str] = "" + + # LanceDB vectorstore config + LANCEDB_PATH: str = "/tmp/lancedb" # Path where LanceDB stores its local data + LANCEDB_TABLE_NAME: Optional[str] = ( + "docsgpts" # Name of the table to use for storing vectors + ) + BRAVE_SEARCH_API_KEY: Optional[str] = None + + FLASK_DEBUG_MODE: bool = False + STORAGE_TYPE: str = "local" # local or s3 + URL_STRATEGY: str = "backend" # backend or s3 + + JWT_SECRET_KEY: str = "" + + +path = Path(__file__).parent.parent.absolute() +settings = Settings(_env_file=path.joinpath(".env"), _env_file_encoding="utf-8") diff --git a/application/error.py b/application/error.py new file mode 100644 index 00000000..5d42f0ee --- /dev/null +++ b/application/error.py @@ -0,0 +1,15 @@ +from flask import jsonify +from werkzeug.http import HTTP_STATUS_CODES + + +def response_error(code_status, message=None): + payload = {'error': HTTP_STATUS_CODES.get(code_status, "something went wrong")} + if message: + payload['message'] = message + response = jsonify(payload) + response.status_code = code_status + return response + + +def bad_request(status_code=400, message=''): + return response_error(code_status=status_code, message=message) diff --git a/application/extensions.py b/application/extensions.py new file mode 100644 index 00000000..b6f52893 --- /dev/null +++ b/application/extensions.py @@ -0,0 +1,7 @@ +from flask_restx import Api + +api = Api( + version="1.0", + title="DocsGPT API", + description="API for DocsGPT", +) diff --git a/application/index.faiss b/application/index.faiss new file mode 100644 index 00000000..4e3784e9 Binary files /dev/null and b/application/index.faiss differ diff --git a/application/index.pkl b/application/index.pkl new file mode 100644 index 00000000..56774d82 Binary files /dev/null and b/application/index.pkl differ diff --git a/application/llm/__init__.py b/application/llm/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/llm/anthropic.py b/application/llm/anthropic.py new file mode 100644 index 00000000..1fa3b5b2 --- /dev/null +++ b/application/llm/anthropic.py @@ -0,0 +1,50 @@ +from application.llm.base import BaseLLM +from application.core.settings import settings + + +class AnthropicLLM(BaseLLM): + + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + from anthropic import Anthropic, HUMAN_PROMPT, AI_PROMPT + + super().__init__(*args, **kwargs) + self.api_key = ( + api_key or settings.ANTHROPIC_API_KEY + ) # If not provided, use a default from settings + self.user_api_key = user_api_key + self.anthropic = Anthropic(api_key=self.api_key) + self.HUMAN_PROMPT = HUMAN_PROMPT + self.AI_PROMPT = AI_PROMPT + + def _raw_gen( + self, baseself, model, messages, stream=False, tools=None, max_tokens=300, **kwargs + ): + context = messages[0]["content"] + user_question = messages[-1]["content"] + prompt = f"### Context \n {context} \n ### Question \n {user_question}" + if stream: + return self.gen_stream(model, prompt, stream, max_tokens, **kwargs) + + completion = self.anthropic.completions.create( + model=model, + max_tokens_to_sample=max_tokens, + stream=stream, + prompt=f"{self.HUMAN_PROMPT} {prompt}{self.AI_PROMPT}", + ) + return completion.completion + + def _raw_gen_stream( + self, baseself, model, messages, stream=True, tools=None, max_tokens=300, **kwargs + ): + context = messages[0]["content"] + user_question = messages[-1]["content"] + prompt = f"### Context \n {context} \n ### Question \n {user_question}" + stream_response = self.anthropic.completions.create( + model=model, + prompt=f"{self.HUMAN_PROMPT} {prompt}{self.AI_PROMPT}", + max_tokens_to_sample=max_tokens, + stream=True, + ) + + for completion in stream_response: + yield completion.completion diff --git a/application/llm/base.py b/application/llm/base.py new file mode 100644 index 00000000..bef3e11f --- /dev/null +++ b/application/llm/base.py @@ -0,0 +1,130 @@ +import logging +from abc import ABC, abstractmethod + +from application.cache import gen_cache, stream_cache + +from application.core.settings import settings +from application.usage import gen_token_usage, stream_token_usage + +logger = logging.getLogger(__name__) + + +class BaseLLM(ABC): + def __init__( + self, + decoded_token=None, + ): + self.decoded_token = decoded_token + self.token_usage = {"prompt_tokens": 0, "generated_tokens": 0} + self.fallback_provider = settings.FALLBACK_LLM_PROVIDER + self.fallback_model_name = settings.FALLBACK_LLM_NAME + self.fallback_llm_api_key = settings.FALLBACK_LLM_API_KEY + self._fallback_llm = None + + @property + def fallback_llm(self): + """Lazy-loaded fallback LLM instance.""" + if ( + self._fallback_llm is None + and self.fallback_provider + and self.fallback_model_name + ): + try: + from application.llm.llm_creator import LLMCreator + + self._fallback_llm = LLMCreator.create_llm( + self.fallback_provider, + self.fallback_llm_api_key, + None, + self.decoded_token, + ) + except Exception as e: + logger.error( + f"Failed to initialize fallback LLM: {str(e)}", exc_info=True + ) + return self._fallback_llm + + def _execute_with_fallback( + self, method_name: str, decorators: list, *args, **kwargs + ): + """ + Unified method execution with fallback support. + + Args: + method_name: Name of the raw method ('_raw_gen' or '_raw_gen_stream') + decorators: List of decorators to apply + *args: Positional arguments + **kwargs: Keyword arguments + """ + + def decorated_method(): + method = getattr(self, method_name) + for decorator in decorators: + method = decorator(method) + return method(self, *args, **kwargs) + + try: + return decorated_method() + except Exception as e: + if not self.fallback_llm: + logger.error(f"Primary LLM failed and no fallback available: {str(e)}") + raise + logger.warning( + f"Falling back to {self.fallback_provider}/{self.fallback_model_name}. Error: {str(e)}" + ) + + fallback_method = getattr( + self.fallback_llm, method_name.replace("_raw_", "") + ) + return fallback_method(*args, **kwargs) + + def gen(self, model, messages, stream=False, tools=None, *args, **kwargs): + decorators = [gen_token_usage, gen_cache] + return self._execute_with_fallback( + "_raw_gen", + decorators, + model=model, + messages=messages, + stream=stream, + tools=tools, + *args, + **kwargs, + ) + + def gen_stream(self, model, messages, stream=True, tools=None, *args, **kwargs): + decorators = [stream_cache, stream_token_usage] + return self._execute_with_fallback( + "_raw_gen_stream", + decorators, + model=model, + messages=messages, + stream=stream, + tools=tools, + *args, + **kwargs, + ) + + @abstractmethod + def _raw_gen(self, model, messages, stream, tools, *args, **kwargs): + pass + + @abstractmethod + def _raw_gen_stream(self, model, messages, stream, *args, **kwargs): + pass + + def supports_tools(self): + return hasattr(self, "_supports_tools") and callable( + getattr(self, "_supports_tools") + ) + + def _supports_tools(self): + raise NotImplementedError("Subclass must implement _supports_tools method") + + def get_supported_attachment_types(self): + """ + Return a list of MIME types supported by this LLM for file uploads. + + Returns: + list: List of supported MIME types + """ + return [] # Default: no attachments supported diff --git a/application/llm/docsgpt_provider.py b/application/llm/docsgpt_provider.py new file mode 100644 index 00000000..001035c4 --- /dev/null +++ b/application/llm/docsgpt_provider.py @@ -0,0 +1,131 @@ +import json + +from application.core.settings import settings +from application.llm.base import BaseLLM + + +class DocsGPTAPILLM(BaseLLM): + + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + from openai import OpenAI + + super().__init__(*args, **kwargs) + self.client = OpenAI(api_key="sk-docsgpt-public", base_url="https://oai.arc53.com") + self.user_api_key = user_api_key + self.api_key = api_key + + def _clean_messages_openai(self, messages): + cleaned_messages = [] + for message in messages: + role = message.get("role") + content = message.get("content") + + if role == "model": + role = "assistant" + + if role and content is not None: + if isinstance(content, str): + cleaned_messages.append({"role": role, "content": content}) + elif isinstance(content, list): + for item in content: + if "text" in item: + cleaned_messages.append( + {"role": role, "content": item["text"]} + ) + elif "function_call" in item: + tool_call = { + "id": item["function_call"]["call_id"], + "type": "function", + "function": { + "name": item["function_call"]["name"], + "arguments": json.dumps( + item["function_call"]["args"] + ), + }, + } + cleaned_messages.append( + { + "role": "assistant", + "content": None, + "tool_calls": [tool_call], + } + ) + elif "function_response" in item: + cleaned_messages.append( + { + "role": "tool", + "tool_call_id": item["function_response"][ + "call_id" + ], + "content": json.dumps( + item["function_response"]["response"]["result"] + ), + } + ) + else: + raise ValueError( + f"Unexpected content dictionary format: {item}" + ) + else: + raise ValueError(f"Unexpected content type: {type(content)}") + + return cleaned_messages + + def _raw_gen( + self, + baseself, + model, + messages, + stream=False, + tools=None, + engine=settings.AZURE_DEPLOYMENT_NAME, + **kwargs, + ): + messages = self._clean_messages_openai(messages) + if tools: + response = self.client.chat.completions.create( + model="docsgpt", + messages=messages, + stream=stream, + tools=tools, + **kwargs, + ) + return response.choices[0] + else: + response = self.client.chat.completions.create( + model="docsgpt", messages=messages, stream=stream, **kwargs + ) + return response.choices[0].message.content + + def _raw_gen_stream( + self, + baseself, + model, + messages, + stream=True, + tools=None, + engine=settings.AZURE_DEPLOYMENT_NAME, + **kwargs, + ): + messages = self._clean_messages_openai(messages) + if tools: + response = self.client.chat.completions.create( + model="docsgpt", + messages=messages, + stream=stream, + tools=tools, + **kwargs, + ) + else: + response = self.client.chat.completions.create( + model="docsgpt", messages=messages, stream=stream, **kwargs + ) + + for line in response: + if len(line.choices) > 0 and line.choices[0].delta.content is not None and len(line.choices[0].delta.content) > 0: + yield line.choices[0].delta.content + elif len(line.choices) > 0: + yield line.choices[0] + + def _supports_tools(self): + return True \ No newline at end of file diff --git a/application/llm/google_ai.py b/application/llm/google_ai.py new file mode 100644 index 00000000..b749431b --- /dev/null +++ b/application/llm/google_ai.py @@ -0,0 +1,313 @@ +from google import genai +from google.genai import types +import logging +import json + +from application.llm.base import BaseLLM +from application.storage.storage_creator import StorageCreator +from application.core.settings import settings + + +class GoogleLLM(BaseLLM): + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + super().__init__(*args, **kwargs) + self.api_key = api_key + self.user_api_key = user_api_key + self.client = genai.Client(api_key=self.api_key) + self.storage = StorageCreator.get_storage() + + def get_supported_attachment_types(self): + """ + Return a list of MIME types supported by Google Gemini for file uploads. + + Returns: + list: List of supported MIME types + """ + return [ + 'application/pdf', + 'image/png', + 'image/jpeg', + 'image/jpg', + 'image/webp', + 'image/gif' + ] + + def prepare_messages_with_attachments(self, messages, attachments=None): + """ + Process attachments using Google AI's file API for more efficient handling. + + Args: + messages (list): List of message dictionaries. + attachments (list): List of attachment dictionaries with content and metadata. + + Returns: + list: Messages formatted with file references for Google AI API. + """ + if not attachments: + return messages + + prepared_messages = messages.copy() + + # Find the user message to attach files to the last one + user_message_index = None + for i in range(len(prepared_messages) - 1, -1, -1): + if prepared_messages[i].get("role") == "user": + user_message_index = i + break + + if user_message_index is None: + user_message = {"role": "user", "content": []} + prepared_messages.append(user_message) + user_message_index = len(prepared_messages) - 1 + + if isinstance(prepared_messages[user_message_index].get("content"), str): + text_content = prepared_messages[user_message_index]["content"] + prepared_messages[user_message_index]["content"] = [ + {"type": "text", "text": text_content} + ] + elif not isinstance(prepared_messages[user_message_index].get("content"), list): + prepared_messages[user_message_index]["content"] = [] + + files = [] + for attachment in attachments: + mime_type = attachment.get('mime_type') + + if mime_type in self.get_supported_attachment_types(): + try: + file_uri = self._upload_file_to_google(attachment) + logging.info(f"GoogleLLM: Successfully uploaded file, got URI: {file_uri}") + files.append({"file_uri": file_uri, "mime_type": mime_type}) + except Exception as e: + logging.error(f"GoogleLLM: Error uploading file: {e}", exc_info=True) + if 'content' in attachment: + prepared_messages[user_message_index]["content"].append({ + "type": "text", + "text": f"[File could not be processed: {attachment.get('path', 'unknown')}]" + }) + + if files: + logging.info(f"GoogleLLM: Adding {len(files)} files to message") + prepared_messages[user_message_index]["content"].append({ + "files": files + }) + + return prepared_messages + + def _upload_file_to_google(self, attachment): + """ + Upload a file to Google AI and return the file URI. + + Args: + attachment (dict): Attachment dictionary with path and metadata. + + Returns: + str: Google AI file URI for the uploaded file. + """ + if 'google_file_uri' in attachment: + return attachment['google_file_uri'] + + file_path = attachment.get('path') + if not file_path: + raise ValueError("No file path provided in attachment") + + if not self.storage.file_exists(file_path): + raise FileNotFoundError(f"File not found: {file_path}") + + try: + file_uri = self.storage.process_file( + file_path, + lambda local_path, **kwargs: self.client.files.upload(file=local_path).uri + ) + + from application.core.mongo_db import MongoDB + mongo = MongoDB.get_client() + db = mongo[settings.MONGO_DB_NAME] + attachments_collection = db["attachments"] + if '_id' in attachment: + attachments_collection.update_one( + {"_id": attachment['_id']}, + {"$set": {"google_file_uri": file_uri}} + ) + + return file_uri + except Exception as e: + logging.error(f"Error uploading file to Google AI: {e}", exc_info=True) + raise + + def _clean_messages_google(self, messages): + cleaned_messages = [] + for message in messages: + role = message.get("role") + content = message.get("content") + + if role == "assistant": + role = "model" + + parts = [] + if role and content is not None: + if isinstance(content, str): + parts = [types.Part.from_text(text=content)] + elif isinstance(content, list): + for item in content: + if "text" in item: + parts.append(types.Part.from_text(text=item["text"])) + elif "function_call" in item: + parts.append( + types.Part.from_function_call( + name=item["function_call"]["name"], + args=item["function_call"]["args"], + ) + ) + elif "function_response" in item: + parts.append( + types.Part.from_function_response( + name=item["function_response"]["name"], + response=item["function_response"]["response"], + ) + ) + elif "files" in item: + for file_data in item["files"]: + parts.append( + types.Part.from_uri( + file_uri=file_data["file_uri"], + mime_type=file_data["mime_type"] + ) + ) + else: + raise ValueError( + f"Unexpected content dictionary format:{item}" + ) + else: + raise ValueError(f"Unexpected content type: {type(content)}") + + cleaned_messages.append(types.Content(role=role, parts=parts)) + + return cleaned_messages + + def _clean_tools_format(self, tools_list): + genai_tools = [] + for tool_data in tools_list: + if tool_data["type"] == "function": + function = tool_data["function"] + parameters = function["parameters"] + properties = parameters.get("properties", {}) + + if properties: + genai_function = dict( + name=function["name"], + description=function["description"], + parameters={ + "type": "OBJECT", + "properties": { + k: { + **v, + "type": v["type"].upper() if v["type"] else None, + } + for k, v in properties.items() + }, + "required": ( + parameters["required"] + if "required" in parameters + else [] + ), + }, + ) + else: + genai_function = dict( + name=function["name"], + description=function["description"], + ) + + genai_tool = types.Tool(function_declarations=[genai_function]) + genai_tools.append(genai_tool) + + return genai_tools + + def _raw_gen( + self, + baseself, + model, + messages, + stream=False, + tools=None, + formatting="openai", + **kwargs, + ): + client = genai.Client(api_key=self.api_key) + if formatting == "openai": + messages = self._clean_messages_google(messages) + config = types.GenerateContentConfig() + if messages[0].role == "system": + config.system_instruction = messages[0].parts[0].text + messages = messages[1:] + + if tools: + cleaned_tools = self._clean_tools_format(tools) + config.tools = cleaned_tools + response = client.models.generate_content( + model=model, + contents=messages, + config=config, + ) + return response + else: + response = client.models.generate_content( + model=model, contents=messages, config=config + ) + return response.text + + def _raw_gen_stream( + self, + baseself, + model, + messages, + stream=True, + tools=None, + formatting="openai", + **kwargs, + ): + client = genai.Client(api_key=self.api_key) + if formatting == "openai": + messages = self._clean_messages_google(messages) + config = types.GenerateContentConfig() + if messages[0].role == "system": + config.system_instruction = messages[0].parts[0].text + messages = messages[1:] + + if tools: + cleaned_tools = self._clean_tools_format(tools) + config.tools = cleaned_tools + + # Check if we have both tools and file attachments + has_attachments = False + for message in messages: + for part in message.parts: + if hasattr(part, 'file_data') and part.file_data is not None: + has_attachments = True + break + if has_attachments: + break + + logging.info(f"GoogleLLM: Starting stream generation. Model: {model}, Messages: {json.dumps(messages, default=str)}, Has attachments: {has_attachments}") + + response = client.models.generate_content_stream( + model=model, + contents=messages, + config=config, + ) + + + for chunk in response: + if hasattr(chunk, "candidates") and chunk.candidates: + for candidate in chunk.candidates: + if candidate.content and candidate.content.parts: + for part in candidate.content.parts: + if part.function_call: + yield part + elif part.text: + yield part.text + elif hasattr(chunk, "text"): + yield chunk.text + + def _supports_tools(self): + return True diff --git a/application/llm/groq.py b/application/llm/groq.py new file mode 100644 index 00000000..282d7f47 --- /dev/null +++ b/application/llm/groq.py @@ -0,0 +1,32 @@ +from application.llm.base import BaseLLM +from openai import OpenAI + + +class GroqLLM(BaseLLM): + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + super().__init__(*args, **kwargs) + self.client = OpenAI(api_key=api_key, base_url="https://api.groq.com/openai/v1") + self.api_key = api_key + self.user_api_key = user_api_key + + def _raw_gen(self, baseself, model, messages, stream=False, tools=None, **kwargs): + if tools: + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, tools=tools, **kwargs + ) + return response.choices[0] + else: + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, **kwargs + ) + return response.choices[0].message.content + + def _raw_gen_stream( + self, baseself, model, messages, stream=True, tools=None, **kwargs + ): + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, **kwargs + ) + for line in response: + if line.choices[0].delta.content is not None: + yield line.choices[0].delta.content diff --git a/application/llm/handlers/__init__.py b/application/llm/handlers/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/llm/handlers/base.py b/application/llm/handlers/base.py new file mode 100644 index 00000000..43205472 --- /dev/null +++ b/application/llm/handlers/base.py @@ -0,0 +1,335 @@ +import logging +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import Any, Dict, Generator, List, Optional, Union + +from application.logging import build_stack_data + +logger = logging.getLogger(__name__) + + +@dataclass +class ToolCall: + """Represents a tool/function call from the LLM.""" + + id: str + name: str + arguments: Union[str, Dict] + index: Optional[int] = None + + @classmethod + def from_dict(cls, data: Dict) -> "ToolCall": + """Create ToolCall from dictionary.""" + return cls( + id=data.get("id", ""), + name=data.get("name", ""), + arguments=data.get("arguments", {}), + index=data.get("index"), + ) + + +@dataclass +class LLMResponse: + """Represents a response from the LLM.""" + + content: str + tool_calls: List[ToolCall] + finish_reason: str + raw_response: Any + + @property + def requires_tool_call(self) -> bool: + """Check if the response requires tool calls.""" + return bool(self.tool_calls) and self.finish_reason == "tool_calls" + + +class LLMHandler(ABC): + """Abstract base class for LLM handlers.""" + + def __init__(self): + self.llm_calls = [] + self.tool_calls = [] + + @abstractmethod + def parse_response(self, response: Any) -> LLMResponse: + """Parse raw LLM response into standardized format.""" + pass + + @abstractmethod + def create_tool_message(self, tool_call: ToolCall, result: Any) -> Dict: + """Create a tool result message for the conversation history.""" + pass + + @abstractmethod + def _iterate_stream(self, response: Any) -> Generator: + """Iterate through streaming response chunks.""" + pass + + def process_message_flow( + self, + agent, + initial_response, + tools_dict: Dict, + messages: List[Dict], + attachments: Optional[List] = None, + stream: bool = False, + ) -> Union[str, Generator]: + """ + Main orchestration method for processing LLM message flow. + + Args: + agent: The agent instance + initial_response: Initial LLM response + tools_dict: Dictionary of available tools + messages: Conversation history + attachments: Optional attachments + stream: Whether to use streaming + + Returns: + Final response or generator for streaming + """ + messages = self.prepare_messages(agent, messages, attachments) + + if stream: + return self.handle_streaming(agent, initial_response, tools_dict, messages) + else: + return self.handle_non_streaming( + agent, initial_response, tools_dict, messages + ) + + def prepare_messages( + self, agent, messages: List[Dict], attachments: Optional[List] = None + ) -> List[Dict]: + """ + Prepare messages with attachments and provider-specific formatting. + + Args: + agent: The agent instance + messages: Original messages + attachments: List of attachments + + Returns: + Prepared messages list + """ + if not attachments: + return messages + logger.info(f"Preparing messages with {len(attachments)} attachments") + supported_types = agent.llm.get_supported_attachment_types() + + supported_attachments = [ + a for a in attachments if a.get("mime_type") in supported_types + ] + unsupported_attachments = [ + a for a in attachments if a.get("mime_type") not in supported_types + ] + + # Process supported attachments with the LLM's custom method + + if supported_attachments: + logger.info( + f"Processing {len(supported_attachments)} supported attachments" + ) + messages = agent.llm.prepare_messages_with_attachments( + messages, supported_attachments + ) + # Process unsupported attachments with default method + + if unsupported_attachments: + logger.info( + f"Processing {len(unsupported_attachments)} unsupported attachments" + ) + messages = self._append_unsupported_attachments( + messages, unsupported_attachments + ) + return messages + + def _append_unsupported_attachments( + self, messages: List[Dict], attachments: List[Dict] + ) -> List[Dict]: + """ + Default method to append unsupported attachment content to system prompt. + + Args: + messages: Current messages + attachments: List of unsupported attachments + + Returns: + Updated messages list + """ + prepared_messages = messages.copy() + attachment_texts = [] + + for attachment in attachments: + logger.info(f"Adding attachment {attachment.get('id')} to context") + if "content" in attachment: + attachment_texts.append( + f"Attached file content:\n\n{attachment['content']}" + ) + if attachment_texts: + combined_text = "\n\n".join(attachment_texts) + + system_msg = next( + (msg for msg in prepared_messages if msg.get("role") == "system"), + {"role": "system", "content": ""}, + ) + + if system_msg not in prepared_messages: + prepared_messages.insert(0, system_msg) + system_msg["content"] += f"\n\n{combined_text}" + return prepared_messages + + def handle_tool_calls( + self, agent, tool_calls: List[ToolCall], tools_dict: Dict, messages: List[Dict] + ) -> Generator: + """ + Execute tool calls and update conversation history. + + Args: + agent: The agent instance + tool_calls: List of tool calls to execute + tools_dict: Available tools dictionary + messages: Current conversation history + + Returns: + Updated messages list + """ + updated_messages = messages.copy() + + for call in tool_calls: + try: + self.tool_calls.append(call) + tool_executor_gen = agent._execute_tool_action(tools_dict, call) + while True: + try: + yield next(tool_executor_gen) + except StopIteration as e: + tool_response, call_id = e.value + break + + updated_messages.append( + { + "role": "assistant", + "content": [ + { + "function_call": { + "name": call.name, + "args": call.arguments, + "call_id": call_id, + } + } + ], + } + ) + + updated_messages.append(self.create_tool_message(call, tool_response)) + + except Exception as e: + logger.error(f"Error executing tool: {str(e)}", exc_info=True) + updated_messages.append( + { + "role": "tool", + "content": f"Error executing tool: {str(e)}", + "tool_call_id": call.id, + } + ) + + return updated_messages + + def handle_non_streaming( + self, agent, response: Any, tools_dict: Dict, messages: List[Dict] + ) -> Generator: + """ + Handle non-streaming response flow. + + Args: + agent: The agent instance + response: Current LLM response + tools_dict: Available tools dictionary + messages: Conversation history + + Returns: + Final response after processing all tool calls + """ + parsed = self.parse_response(response) + self.llm_calls.append(build_stack_data(agent.llm)) + + while parsed.requires_tool_call: + tool_handler_gen = self.handle_tool_calls( + agent, parsed.tool_calls, tools_dict, messages + ) + while True: + try: + yield next(tool_handler_gen) + except StopIteration as e: + messages = e.value + break + + response = agent.llm.gen( + model=agent.gpt_model, messages=messages, tools=agent.tools + ) + parsed = self.parse_response(response) + self.llm_calls.append(build_stack_data(agent.llm)) + + return parsed.content + + def handle_streaming( + self, agent, response: Any, tools_dict: Dict, messages: List[Dict] + ) -> Generator: + """ + Handle streaming response flow. + + Args: + agent: The agent instance + response: Current LLM response + tools_dict: Available tools dictionary + messages: Conversation history + + Yields: + Streaming response chunks + """ + buffer = "" + tool_calls = {} + + for chunk in self._iterate_stream(response): + if isinstance(chunk, str): + yield chunk + continue + parsed = self.parse_response(chunk) + + if parsed.tool_calls: + for call in parsed.tool_calls: + if call.index not in tool_calls: + tool_calls[call.index] = call + else: + existing = tool_calls[call.index] + if call.id: + existing.id = call.id + if call.name: + existing.name = call.name + if call.arguments: + existing.arguments += call.arguments + if parsed.finish_reason == "tool_calls": + tool_handler_gen = self.handle_tool_calls( + agent, list(tool_calls.values()), tools_dict, messages + ) + while True: + try: + yield next(tool_handler_gen) + except StopIteration as e: + messages = e.value + break + tool_calls = {} + + response = agent.llm.gen_stream( + model=agent.gpt_model, messages=messages, tools=agent.tools + ) + self.llm_calls.append(build_stack_data(agent.llm)) + + yield from self.handle_streaming(agent, response, tools_dict, messages) + return + if parsed.content: + buffer += parsed.content + yield buffer + buffer = "" + if parsed.finish_reason == "stop": + return diff --git a/application/llm/handlers/google.py b/application/llm/handlers/google.py new file mode 100644 index 00000000..b43f2a16 --- /dev/null +++ b/application/llm/handlers/google.py @@ -0,0 +1,78 @@ +import uuid +from typing import Any, Dict, Generator + +from application.llm.handlers.base import LLMHandler, LLMResponse, ToolCall + + +class GoogleLLMHandler(LLMHandler): + """Handler for Google's GenAI API.""" + + def parse_response(self, response: Any) -> LLMResponse: + """Parse Google response into standardized format.""" + + if isinstance(response, str): + return LLMResponse( + content=response, + tool_calls=[], + finish_reason="stop", + raw_response=response, + ) + + if hasattr(response, "candidates"): + parts = response.candidates[0].content.parts if response.candidates else [] + tool_calls = [ + ToolCall( + id=str(uuid.uuid4()), + name=part.function_call.name, + arguments=part.function_call.args, + ) + for part in parts + if hasattr(part, "function_call") and part.function_call is not None + ] + + content = " ".join( + part.text + for part in parts + if hasattr(part, "text") and part.text is not None + ) + return LLMResponse( + content=content, + tool_calls=tool_calls, + finish_reason="tool_calls" if tool_calls else "stop", + raw_response=response, + ) + + else: + tool_calls = [] + if hasattr(response, "function_call"): + tool_calls.append( + ToolCall( + id=str(uuid.uuid4()), + name=response.function_call.name, + arguments=response.function_call.args, + ) + ) + return LLMResponse( + content=response.text if hasattr(response, "text") else "", + tool_calls=tool_calls, + finish_reason="tool_calls" if tool_calls else "stop", + raw_response=response, + ) + + def create_tool_message(self, tool_call: ToolCall, result: Any) -> Dict: + """Create Google-style tool message.""" + from google.genai import types + + return { + "role": "tool", + "content": [ + types.Part.from_function_response( + name=tool_call.name, response={"result": result} + ).to_json_dict() + ], + } + + def _iterate_stream(self, response: Any) -> Generator: + """Iterate through Google streaming response.""" + for chunk in response: + yield chunk diff --git a/application/llm/handlers/handler_creator.py b/application/llm/handlers/handler_creator.py new file mode 100644 index 00000000..e39c000d --- /dev/null +++ b/application/llm/handlers/handler_creator.py @@ -0,0 +1,18 @@ +from application.llm.handlers.base import LLMHandler +from application.llm.handlers.google import GoogleLLMHandler +from application.llm.handlers.openai import OpenAILLMHandler + + +class LLMHandlerCreator: + handlers = { + "openai": OpenAILLMHandler, + "google": GoogleLLMHandler, + "default": OpenAILLMHandler, + } + + @classmethod + def create_handler(cls, llm_type: str, *args, **kwargs) -> LLMHandler: + handler_class = cls.handlers.get(llm_type.lower()) + if not handler_class: + raise ValueError(f"No LLM handler class found for type {llm_type}") + return handler_class(*args, **kwargs) diff --git a/application/llm/handlers/openai.py b/application/llm/handlers/openai.py new file mode 100644 index 00000000..99ddde4c --- /dev/null +++ b/application/llm/handlers/openai.py @@ -0,0 +1,57 @@ +from typing import Any, Dict, Generator + +from application.llm.handlers.base import LLMHandler, LLMResponse, ToolCall + + +class OpenAILLMHandler(LLMHandler): + """Handler for OpenAI API.""" + + def parse_response(self, response: Any) -> LLMResponse: + """Parse OpenAI response into standardized format.""" + if isinstance(response, str): + return LLMResponse( + content=response, + tool_calls=[], + finish_reason="stop", + raw_response=response, + ) + + message = getattr(response, "message", None) or getattr(response, "delta", None) + + tool_calls = [] + if hasattr(message, "tool_calls"): + tool_calls = [ + ToolCall( + id=getattr(tc, "id", ""), + name=getattr(tc.function, "name", ""), + arguments=getattr(tc.function, "arguments", ""), + index=getattr(tc, "index", None), + ) + for tc in message.tool_calls or [] + ] + return LLMResponse( + content=getattr(message, "content", ""), + tool_calls=tool_calls, + finish_reason=getattr(response, "finish_reason", ""), + raw_response=response, + ) + + def create_tool_message(self, tool_call: ToolCall, result: Any) -> Dict: + """Create OpenAI-style tool message.""" + return { + "role": "tool", + "content": [ + { + "function_response": { + "name": tool_call.name, + "response": {"result": result}, + "call_id": tool_call.id, + } + } + ], + } + + def _iterate_stream(self, response: Any) -> Generator: + """Iterate through OpenAI streaming response.""" + for chunk in response: + yield chunk diff --git a/application/llm/huggingface.py b/application/llm/huggingface.py new file mode 100644 index 00000000..2fb4a925 --- /dev/null +++ b/application/llm/huggingface.py @@ -0,0 +1,68 @@ +from application.llm.base import BaseLLM + + +class HuggingFaceLLM(BaseLLM): + + def __init__( + self, + api_key=None, + user_api_key=None, + llm_name="Arc53/DocsGPT-7B", + q=False, + *args, + **kwargs, + ): + global hf + + from langchain.llms import HuggingFacePipeline + + if q: + import torch + from transformers import ( + AutoModelForCausalLM, + AutoTokenizer, + pipeline, + BitsAndBytesConfig, + ) + + tokenizer = AutoTokenizer.from_pretrained(llm_name) + bnb_config = BitsAndBytesConfig( + load_in_4bit=True, + bnb_4bit_use_double_quant=True, + bnb_4bit_quant_type="nf4", + bnb_4bit_compute_dtype=torch.bfloat16, + ) + model = AutoModelForCausalLM.from_pretrained( + llm_name, quantization_config=bnb_config + ) + else: + from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline + + tokenizer = AutoTokenizer.from_pretrained(llm_name) + model = AutoModelForCausalLM.from_pretrained(llm_name) + + super().__init__(*args, **kwargs) + self.api_key = api_key + self.user_api_key = user_api_key + pipe = pipeline( + "text-generation", + model=model, + tokenizer=tokenizer, + max_new_tokens=2000, + device_map="auto", + eos_token_id=tokenizer.eos_token_id, + ) + hf = HuggingFacePipeline(pipeline=pipe) + + def _raw_gen(self, baseself, model, messages, stream=False, **kwargs): + context = messages[0]["content"] + user_question = messages[-1]["content"] + prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n" + + result = hf(prompt) + + return result.content + + def _raw_gen_stream(self, baseself, model, messages, stream=True, **kwargs): + + raise NotImplementedError("HuggingFaceLLM Streaming is not implemented yet.") diff --git a/application/llm/llama_cpp.py b/application/llm/llama_cpp.py new file mode 100644 index 00000000..f0418b49 --- /dev/null +++ b/application/llm/llama_cpp.py @@ -0,0 +1,60 @@ +from application.llm.base import BaseLLM +from application.core.settings import settings +import threading + + +class LlamaSingleton: + _instances = {} + _lock = threading.Lock() # Add a lock for thread synchronization + + @classmethod + def get_instance(cls, llm_name): + if llm_name not in cls._instances: + try: + from llama_cpp import Llama + except ImportError: + raise ImportError( + "Please install llama_cpp using pip install llama-cpp-python" + ) + cls._instances[llm_name] = Llama(model_path=llm_name, n_ctx=2048) + return cls._instances[llm_name] + + @classmethod + def query_model(cls, llm, prompt, **kwargs): + with cls._lock: + return llm(prompt, **kwargs) + + +class LlamaCpp(BaseLLM): + def __init__( + self, + api_key=None, + user_api_key=None, + llm_name=settings.LLM_PATH, + *args, + **kwargs, + ): + super().__init__(*args, **kwargs) + self.api_key = api_key + self.user_api_key = user_api_key + self.llama = LlamaSingleton.get_instance(llm_name) + + def _raw_gen(self, baseself, model, messages, stream=False, **kwargs): + context = messages[0]["content"] + user_question = messages[-1]["content"] + prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n" + result = LlamaSingleton.query_model( + self.llama, prompt, max_tokens=150, echo=False + ) + return result["choices"][0]["text"].split("### Answer \n")[-1] + + def _raw_gen_stream(self, baseself, model, messages, stream=True, **kwargs): + context = messages[0]["content"] + user_question = messages[-1]["content"] + prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n" + result = LlamaSingleton.query_model( + self.llama, prompt, max_tokens=150, echo=False, stream=stream + ) + for item in result: + for choice in item["choices"]: + yield choice["text"] diff --git a/application/llm/llm_creator.py b/application/llm/llm_creator.py new file mode 100644 index 00000000..3ed23854 --- /dev/null +++ b/application/llm/llm_creator.py @@ -0,0 +1,35 @@ +from application.llm.groq import GroqLLM +from application.llm.openai import OpenAILLM, AzureOpenAILLM +from application.llm.sagemaker import SagemakerAPILLM +from application.llm.huggingface import HuggingFaceLLM +from application.llm.llama_cpp import LlamaCpp +from application.llm.anthropic import AnthropicLLM +from application.llm.docsgpt_provider import DocsGPTAPILLM +from application.llm.premai import PremAILLM +from application.llm.google_ai import GoogleLLM +from application.llm.novita import NovitaLLM + + +class LLMCreator: + llms = { + "openai": OpenAILLM, + "azure_openai": AzureOpenAILLM, + "sagemaker": SagemakerAPILLM, + "huggingface": HuggingFaceLLM, + "llama.cpp": LlamaCpp, + "anthropic": AnthropicLLM, + "docsgpt": DocsGPTAPILLM, + "premai": PremAILLM, + "groq": GroqLLM, + "google": GoogleLLM, + "novita": NovitaLLM, + } + + @classmethod + def create_llm(cls, type, api_key, user_api_key, decoded_token, *args, **kwargs): + llm_class = cls.llms.get(type.lower()) + if not llm_class: + raise ValueError(f"No LLM class found for type {type}") + return llm_class( + api_key, user_api_key, decoded_token=decoded_token, *args, **kwargs + ) diff --git a/application/llm/novita.py b/application/llm/novita.py new file mode 100644 index 00000000..8d6ac042 --- /dev/null +++ b/application/llm/novita.py @@ -0,0 +1,32 @@ +from application.llm.base import BaseLLM +from openai import OpenAI + + +class NovitaLLM(BaseLLM): + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + super().__init__(*args, **kwargs) + self.client = OpenAI(api_key=api_key, base_url="https://api.novita.ai/v3/openai") + self.api_key = api_key + self.user_api_key = user_api_key + + def _raw_gen(self, baseself, model, messages, stream=False, tools=None, **kwargs): + if tools: + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, tools=tools, **kwargs + ) + return response.choices[0] + else: + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, **kwargs + ) + return response.choices[0].message.content + + def _raw_gen_stream( + self, baseself, model, messages, stream=True, tools=None, **kwargs + ): + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, **kwargs + ) + for line in response: + if line.choices[0].delta.content is not None: + yield line.choices[0].delta.content diff --git a/application/llm/openai.py b/application/llm/openai.py new file mode 100644 index 00000000..e363130b --- /dev/null +++ b/application/llm/openai.py @@ -0,0 +1,325 @@ +import json +import base64 +import logging + +from application.core.settings import settings +from application.llm.base import BaseLLM +from application.storage.storage_creator import StorageCreator + + +class OpenAILLM(BaseLLM): + + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + from openai import OpenAI + + super().__init__(*args, **kwargs) + if isinstance(settings.OPENAI_BASE_URL, str) and settings.OPENAI_BASE_URL.strip(): + self.client = OpenAI(api_key=api_key, base_url=settings.OPENAI_BASE_URL) + else: + DEFAULT_OPENAI_API_BASE = "https://api.openai.com/v1" + self.client = OpenAI(api_key=api_key, base_url=DEFAULT_OPENAI_API_BASE) + self.api_key = api_key + self.user_api_key = user_api_key + self.storage = StorageCreator.get_storage() + + def _clean_messages_openai(self, messages): + cleaned_messages = [] + for message in messages: + role = message.get("role") + content = message.get("content") + + if role == "model": + role = "assistant" + + if role and content is not None: + if isinstance(content, str): + cleaned_messages.append({"role": role, "content": content}) + elif isinstance(content, list): + for item in content: + if "text" in item: + cleaned_messages.append( + {"role": role, "content": item["text"]} + ) + elif "function_call" in item: + tool_call = { + "id": item["function_call"]["call_id"], + "type": "function", + "function": { + "name": item["function_call"]["name"], + "arguments": json.dumps( + item["function_call"]["args"] + ), + }, + } + cleaned_messages.append( + { + "role": "assistant", + "content": None, + "tool_calls": [tool_call], + } + ) + elif "function_response" in item: + cleaned_messages.append( + { + "role": "tool", + "tool_call_id": item["function_response"][ + "call_id" + ], + "content": json.dumps( + item["function_response"]["response"]["result"] + ), + } + ) + elif isinstance(item, dict): + content_parts = [] + if "text" in item: + content_parts.append({"type": "text", "text": item["text"]}) + elif "type" in item and item["type"] == "text" and "text" in item: + content_parts.append(item) + elif "type" in item and item["type"] == "file" and "file" in item: + content_parts.append(item) + elif "type" in item and item["type"] == "image_url" and "image_url" in item: + content_parts.append(item) + cleaned_messages.append({"role": role, "content": content_parts}) + else: + raise ValueError( + f"Unexpected content dictionary format: {item}" + ) + else: + raise ValueError(f"Unexpected content type: {type(content)}") + + return cleaned_messages + + def _raw_gen( + self, + baseself, + model, + messages, + stream=False, + tools=None, + engine=settings.AZURE_DEPLOYMENT_NAME, + **kwargs, + ): + messages = self._clean_messages_openai(messages) + if tools: + response = self.client.chat.completions.create( + model=model, + messages=messages, + stream=stream, + tools=tools, + **kwargs, + ) + return response.choices[0] + else: + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, **kwargs + ) + return response.choices[0].message.content + + def _raw_gen_stream( + self, + baseself, + model, + messages, + stream=True, + tools=None, + engine=settings.AZURE_DEPLOYMENT_NAME, + **kwargs, + ): + messages = self._clean_messages_openai(messages) + if tools: + response = self.client.chat.completions.create( + model=model, + messages=messages, + stream=stream, + tools=tools, + **kwargs, + ) + else: + response = self.client.chat.completions.create( + model=model, messages=messages, stream=stream, **kwargs + ) + + for line in response: + if len(line.choices) > 0 and line.choices[0].delta.content is not None and len(line.choices[0].delta.content) > 0: + yield line.choices[0].delta.content + elif len(line.choices) > 0: + yield line.choices[0] + + def _supports_tools(self): + return True + + def get_supported_attachment_types(self): + """ + Return a list of MIME types supported by OpenAI for file uploads. + + Returns: + list: List of supported MIME types + """ + return [ + 'application/pdf', + 'image/png', + 'image/jpeg', + 'image/jpg', + 'image/webp', + 'image/gif' + ] + + def prepare_messages_with_attachments(self, messages, attachments=None): + """ + Process attachments using OpenAI's file API for more efficient handling. + + Args: + messages (list): List of message dictionaries. + attachments (list): List of attachment dictionaries with content and metadata. + + Returns: + list: Messages formatted with file references for OpenAI API. + """ + if not attachments: + return messages + + prepared_messages = messages.copy() + + # Find the user message to attach file_id to the last one + user_message_index = None + for i in range(len(prepared_messages) - 1, -1, -1): + if prepared_messages[i].get("role") == "user": + user_message_index = i + break + + if user_message_index is None: + user_message = {"role": "user", "content": []} + prepared_messages.append(user_message) + user_message_index = len(prepared_messages) - 1 + + if isinstance(prepared_messages[user_message_index].get("content"), str): + text_content = prepared_messages[user_message_index]["content"] + prepared_messages[user_message_index]["content"] = [ + {"type": "text", "text": text_content} + ] + elif not isinstance(prepared_messages[user_message_index].get("content"), list): + prepared_messages[user_message_index]["content"] = [] + + for attachment in attachments: + mime_type = attachment.get('mime_type') + + if mime_type and mime_type.startswith('image/'): + try: + base64_image = self._get_base64_image(attachment) + prepared_messages[user_message_index]["content"].append({ + "type": "image_url", + "image_url": { + "url": f"data:{mime_type};base64,{base64_image}" + } + }) + except Exception as e: + logging.error(f"Error processing image attachment: {e}", exc_info=True) + if 'content' in attachment: + prepared_messages[user_message_index]["content"].append({ + "type": "text", + "text": f"[Image could not be processed: {attachment.get('path', 'unknown')}]" + }) + # Handle PDFs using the file API + elif mime_type == 'application/pdf': + try: + file_id = self._upload_file_to_openai(attachment) + prepared_messages[user_message_index]["content"].append({ + "type": "file", + "file": {"file_id": file_id} + }) + except Exception as e: + logging.error(f"Error uploading PDF to OpenAI: {e}", exc_info=True) + if 'content' in attachment: + prepared_messages[user_message_index]["content"].append({ + "type": "text", + "text": f"File content:\n\n{attachment['content']}" + }) + + return prepared_messages + + def _get_base64_image(self, attachment): + """ + Convert an image file to base64 encoding. + + Args: + attachment (dict): Attachment dictionary with path and metadata. + + Returns: + str: Base64-encoded image data. + """ + file_path = attachment.get('path') + if not file_path: + raise ValueError("No file path provided in attachment") + + try: + with self.storage.get_file(file_path) as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + except FileNotFoundError: + raise FileNotFoundError(f"File not found: {file_path}") + + def _upload_file_to_openai(self, attachment): + """ + Upload a file to OpenAI and return the file_id. + + Args: + attachment (dict): Attachment dictionary with path and metadata. + Expected keys: + - path: Path to the file + - id: Optional MongoDB ID for caching + + Returns: + str: OpenAI file_id for the uploaded file. + """ + import logging + + if 'openai_file_id' in attachment: + return attachment['openai_file_id'] + + file_path = attachment.get('path') + + if not self.storage.file_exists(file_path): + raise FileNotFoundError(f"File not found: {file_path}") + + try: + file_id = self.storage.process_file( + file_path, + lambda local_path, **kwargs: self.client.files.create( + file=open(local_path, 'rb'), + purpose="assistants" + ).id + ) + + from application.core.mongo_db import MongoDB + mongo = MongoDB.get_client() + db = mongo[settings.MONGO_DB_NAME] + attachments_collection = db["attachments"] + if '_id' in attachment: + attachments_collection.update_one( + {"_id": attachment['_id']}, + {"$set": {"openai_file_id": file_id}} + ) + + return file_id + except Exception as e: + logging.error(f"Error uploading file to OpenAI: {e}", exc_info=True) + raise + + +class AzureOpenAILLM(OpenAILLM): + + def __init__( + self, api_key, user_api_key, *args, **kwargs + ): + + super().__init__(api_key) + self.api_base = (settings.OPENAI_API_BASE,) + self.api_version = (settings.OPENAI_API_VERSION,) + self.deployment_name = (settings.AZURE_DEPLOYMENT_NAME,) + from openai import AzureOpenAI + + self.client = AzureOpenAI( + api_key=api_key, + api_version=settings.OPENAI_API_VERSION, + azure_endpoint=settings.OPENAI_API_BASE + ) diff --git a/application/llm/premai.py b/application/llm/premai.py new file mode 100644 index 00000000..c250c653 --- /dev/null +++ b/application/llm/premai.py @@ -0,0 +1,38 @@ +from application.llm.base import BaseLLM +from application.core.settings import settings + + +class PremAILLM(BaseLLM): + + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + from premai import Prem + + super().__init__(*args, **kwargs) + self.client = Prem(api_key=api_key) + self.api_key = api_key + self.user_api_key = user_api_key + self.project_id = settings.PREMAI_PROJECT_ID + + def _raw_gen(self, baseself, model, messages, stream=False, **kwargs): + response = self.client.chat.completions.create( + model=model, + project_id=self.project_id, + messages=messages, + stream=stream, + **kwargs + ) + + return response.choices[0].message["content"] + + def _raw_gen_stream(self, baseself, model, messages, stream=True, **kwargs): + response = self.client.chat.completions.create( + model=model, + project_id=self.project_id, + messages=messages, + stream=stream, + **kwargs + ) + + for line in response: + if line.choices[0].delta["content"] is not None: + yield line.choices[0].delta["content"] diff --git a/application/llm/sagemaker.py b/application/llm/sagemaker.py new file mode 100644 index 00000000..aaf99a12 --- /dev/null +++ b/application/llm/sagemaker.py @@ -0,0 +1,140 @@ +from application.llm.base import BaseLLM +from application.core.settings import settings +import json +import io + + +class LineIterator: + """ + A helper class for parsing the byte stream input. + + The output of the model will be in the following format: + ``` + b'{"outputs": [" a"]}\n' + b'{"outputs": [" challenging"]}\n' + b'{"outputs": [" problem"]}\n' + ... + ``` + + While usually each PayloadPart event from the event stream will contain a byte array + with a full json, this is not guaranteed and some of the json objects may be split across + PayloadPart events. For example: + ``` + {'PayloadPart': {'Bytes': b'{"outputs": '}} + {'PayloadPart': {'Bytes': b'[" problem"]}\n'}} + ``` + + This class accounts for this by concatenating bytes written via the 'write' function + and then exposing a method which will return lines (ending with a '\n' character) within + the buffer via the 'scan_lines' function. It maintains the position of the last read + position to ensure that previous bytes are not exposed again. + """ + + def __init__(self, stream): + self.byte_iterator = iter(stream) + self.buffer = io.BytesIO() + self.read_pos = 0 + + def __iter__(self): + return self + + def __next__(self): + while True: + self.buffer.seek(self.read_pos) + line = self.buffer.readline() + if line and line[-1] == ord("\n"): + self.read_pos += len(line) + return line[:-1] + try: + chunk = next(self.byte_iterator) + except StopIteration: + if self.read_pos < self.buffer.getbuffer().nbytes: + continue + raise + if "PayloadPart" not in chunk: + print("Unknown event type:" + chunk) + continue + self.buffer.seek(0, io.SEEK_END) + self.buffer.write(chunk["PayloadPart"]["Bytes"]) + + +class SagemakerAPILLM(BaseLLM): + + def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): + import boto3 + + runtime = boto3.client( + "runtime.sagemaker", + aws_access_key_id="xxx", + aws_secret_access_key="xxx", + region_name="us-west-2", + ) + + super().__init__(*args, **kwargs) + self.api_key = api_key + self.user_api_key = user_api_key + self.endpoint = settings.SAGEMAKER_ENDPOINT + self.runtime = runtime + + def _raw_gen(self, baseself, model, messages, stream=False, tools=None, **kwargs): + context = messages[0]["content"] + user_question = messages[-1]["content"] + prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n" + + # Construct payload for endpoint + payload = { + "inputs": prompt, + "stream": False, + "parameters": { + "do_sample": True, + "temperature": 0.1, + "max_new_tokens": 30, + "repetition_penalty": 1.03, + "stop": ["", "###"], + }, + } + body_bytes = json.dumps(payload).encode("utf-8") + + # Invoke the endpoint + response = self.runtime.invoke_endpoint( + EndpointName=self.endpoint, ContentType="application/json", Body=body_bytes + ) + result = json.loads(response["Body"].read().decode()) + import sys + + print(result[0]["generated_text"], file=sys.stderr) + return result[0]["generated_text"][len(prompt) :] + + def _raw_gen_stream(self, baseself, model, messages, stream=True, tools=None, **kwargs): + context = messages[0]["content"] + user_question = messages[-1]["content"] + prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n" + + # Construct payload for endpoint + payload = { + "inputs": prompt, + "stream": True, + "parameters": { + "do_sample": True, + "temperature": 0.1, + "max_new_tokens": 512, + "repetition_penalty": 1.03, + "stop": ["", "###"], + }, + } + body_bytes = json.dumps(payload).encode("utf-8") + + # Invoke the endpoint + response = self.runtime.invoke_endpoint_with_response_stream( + EndpointName=self.endpoint, ContentType="application/json", Body=body_bytes + ) + # result = json.loads(response['Body'].read().decode()) + event_stream = response["Body"] + start_json = b"{" + for line in LineIterator(event_stream): + if line != b"" and start_json in line: + # print(line) + data = json.loads(line[line.find(start_json) :].decode("utf-8")) + if data["token"]["text"] not in ["", "###"]: + print(data["token"]["text"], end="") + yield data["token"]["text"] diff --git a/application/logging.py b/application/logging.py new file mode 100644 index 00000000..d48fb17e --- /dev/null +++ b/application/logging.py @@ -0,0 +1,154 @@ +import datetime +import functools +import inspect + +import logging +import uuid +from typing import Any, Callable, Dict, Generator, List + +from application.core.mongo_db import MongoDB +from application.core.settings import settings + +logging.basicConfig( + level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" +) + + +class LogContext: + def __init__(self, endpoint, activity_id, user, api_key, query): + self.endpoint = endpoint + self.activity_id = activity_id + self.user = user + self.api_key = api_key + self.query = query + self.stacks = [] + + +def build_stack_data( + obj: Any, + include_attributes: List[str] = None, + exclude_attributes: List[str] = None, + custom_data: Dict = None, +) -> Dict: + if obj is None: + raise ValueError("The 'obj' parameter cannot be None") + data = {} + if include_attributes is None: + include_attributes = [] + for name, value in inspect.getmembers(obj): + if ( + not name.startswith("_") + and not inspect.ismethod(value) + and not inspect.isfunction(value) + ): + include_attributes.append(name) + for attr_name in include_attributes: + if exclude_attributes and attr_name in exclude_attributes: + continue + try: + attr_value = getattr(obj, attr_name) + if attr_value is not None: + if isinstance(attr_value, (int, float, str, bool)): + data[attr_name] = attr_value + elif isinstance(attr_value, list): + if all(isinstance(item, dict) for item in attr_value): + data[attr_name] = attr_value + elif all(hasattr(item, "__dict__") for item in attr_value): + data[attr_name] = [item.__dict__ for item in attr_value] + else: + data[attr_name] = [str(item) for item in attr_value] + elif isinstance(attr_value, dict): + data[attr_name] = {k: str(v) for k, v in attr_value.items()} + except AttributeError as e: + logging.warning(f"AttributeError while accessing {attr_name}: {e}") + except AttributeError: + pass + if custom_data: + data.update(custom_data) + return data + + +def log_activity() -> Callable: + def decorator(func: Callable) -> Callable: + @functools.wraps(func) + def wrapper(*args: Any, **kwargs: Any) -> Any: + activity_id = str(uuid.uuid4()) + data = build_stack_data(args[0]) + endpoint = data.get("endpoint", "") + user = data.get("user", "local") + api_key = data.get("user_api_key", "") + query = kwargs.get("query", getattr(args[0], "query", "")) + + context = LogContext(endpoint, activity_id, user, api_key, query) + kwargs["log_context"] = context + + logging.info( + f"Starting activity: {endpoint} - {activity_id} - User: {user}" + ) + + generator = func(*args, **kwargs) + yield from _consume_and_log(generator, context) + + return wrapper + + return decorator + + +def _consume_and_log(generator: Generator, context: "LogContext"): + try: + for item in generator: + yield item + except Exception as e: + logging.exception(f"Error in {context.endpoint} - {context.activity_id}: {e}") + context.stacks.append({"component": "error", "data": {"message": str(e)}}) + _log_to_mongodb( + endpoint=context.endpoint, + activity_id=context.activity_id, + user=context.user, + api_key=context.api_key, + query=context.query, + stacks=context.stacks, + level="error", + ) + raise + finally: + _log_to_mongodb( + endpoint=context.endpoint, + activity_id=context.activity_id, + user=context.user, + api_key=context.api_key, + query=context.query, + stacks=context.stacks, + level="info", + ) + + +def _log_to_mongodb( + endpoint: str, + activity_id: str, + user: str, + api_key: str, + query: str, + stacks: List[Dict], + level: str, +) -> None: + try: + mongo = MongoDB.get_client() + db = mongo[settings.MONGO_DB_NAME] + user_logs_collection = db["stack_logs"] + + log_entry = { + "endpoint": endpoint, + "id": activity_id, + "level": level, + "user": user, + "api_key": api_key, + "query": query, + "stacks": stacks, + "timestamp": datetime.datetime.now(datetime.timezone.utc), + } + user_logs_collection.insert_one(log_entry) + logging.debug(f"Logged activity to MongoDB: {activity_id}") + + except Exception as e: + logging.error(f"Failed to log to MongoDB: {e}", exc_info=True) diff --git a/application/parser/__init__.py b/application/parser/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/application/parser/__init__.py @@ -0,0 +1 @@ + diff --git a/application/parser/chunking.py b/application/parser/chunking.py new file mode 100644 index 00000000..aae14898 --- /dev/null +++ b/application/parser/chunking.py @@ -0,0 +1,118 @@ +import re +from typing import List, Tuple +import logging +from application.parser.schema.base import Document +from application.utils import get_encoding + +logger = logging.getLogger(__name__) + +class Chunker: + def __init__( + self, + chunking_strategy: str = "classic_chunk", + max_tokens: int = 2000, + min_tokens: int = 150, + duplicate_headers: bool = False, + ): + if chunking_strategy not in ["classic_chunk"]: + raise ValueError(f"Unsupported chunking strategy: {chunking_strategy}") + self.chunking_strategy = chunking_strategy + self.max_tokens = max_tokens + self.min_tokens = min_tokens + self.duplicate_headers = duplicate_headers + self.encoding = get_encoding() + + def separate_header_and_body(self, text: str) -> Tuple[str, str]: + header_pattern = r"^(.*?\n){3}" + match = re.match(header_pattern, text) + if match: + header = match.group(0) + body = text[len(header):] + else: + header, body = "", text # No header, treat entire text as body + return header, body + + def combine_documents(self, doc: Document, next_doc: Document) -> Document: + combined_text = doc.text + " " + next_doc.text + combined_token_count = len(self.encoding.encode(combined_text)) + new_doc = Document( + text=combined_text, + doc_id=doc.doc_id, + embedding=doc.embedding, + extra_info={**(doc.extra_info or {}), "token_count": combined_token_count} + ) + return new_doc + + def split_document(self, doc: Document) -> List[Document]: + split_docs = [] + header, body = self.separate_header_and_body(doc.text) + header_tokens = self.encoding.encode(header) if header else [] + body_tokens = self.encoding.encode(body) + + current_position = 0 + part_index = 0 + while current_position < len(body_tokens): + end_position = current_position + self.max_tokens - len(header_tokens) + chunk_tokens = (header_tokens + body_tokens[current_position:end_position] + if self.duplicate_headers or part_index == 0 else body_tokens[current_position:end_position]) + chunk_text = self.encoding.decode(chunk_tokens) + new_doc = Document( + text=chunk_text, + doc_id=f"{doc.doc_id}-{part_index}", + embedding=doc.embedding, + extra_info={**(doc.extra_info or {}), "token_count": len(chunk_tokens)} + ) + split_docs.append(new_doc) + current_position = end_position + part_index += 1 + header_tokens = [] + return split_docs + + def classic_chunk(self, documents: List[Document]) -> List[Document]: + processed_docs = [] + i = 0 + while i < len(documents): + doc = documents[i] + tokens = self.encoding.encode(doc.text) + token_count = len(tokens) + + if self.min_tokens <= token_count <= self.max_tokens: + doc.extra_info = doc.extra_info or {} + doc.extra_info["token_count"] = token_count + processed_docs.append(doc) + i += 1 + elif token_count < self.min_tokens: + if i + 1 < len(documents): + next_doc = documents[i + 1] + next_tokens = self.encoding.encode(next_doc.text) + if token_count + len(next_tokens) <= self.max_tokens: + # Combine small documents + combined_doc = self.combine_documents(doc, next_doc) + processed_docs.append(combined_doc) + i += 2 + else: + # Keep the small document as is if adding next_doc would exceed max_tokens + doc.extra_info = doc.extra_info or {} + doc.extra_info["token_count"] = token_count + processed_docs.append(doc) + i += 1 + else: + # No next document to combine with; add the small document as is + doc.extra_info = doc.extra_info or {} + doc.extra_info["token_count"] = token_count + processed_docs.append(doc) + i += 1 + else: + # Split large documents + processed_docs.extend(self.split_document(doc)) + i += 1 + return processed_docs + + def chunk( + self, + documents: List[Document] + ) -> List[Document]: + if self.chunking_strategy == "classic_chunk": + return self.classic_chunk(documents) + else: + raise ValueError("Unsupported chunking strategy") diff --git a/application/parser/embedding_pipeline.py b/application/parser/embedding_pipeline.py new file mode 100755 index 00000000..87d9a8d5 --- /dev/null +++ b/application/parser/embedding_pipeline.py @@ -0,0 +1,86 @@ +import os +import logging +from retry import retry +from tqdm import tqdm +from application.core.settings import settings +from application.vectorstore.vector_creator import VectorCreator + + +@retry(tries=10, delay=60) +def add_text_to_store_with_retry(store, doc, source_id): + """ + Add a document's text and metadata to the vector store with retry logic. + Args: + store: The vector store object. + doc: The document to be added. + source_id: Unique identifier for the source. + """ + try: + doc.metadata["source_id"] = str(source_id) + store.add_texts([doc.page_content], metadatas=[doc.metadata]) + except Exception as e: + logging.error(f"Failed to add document with retry: {e}", exc_info=True) + raise + + +def embed_and_store_documents(docs, folder_name, source_id, task_status): + """ + Embeds documents and stores them in a vector store. + + Args: + docs (list): List of documents to be embedded and stored. + folder_name (str): Directory to save the vector store. + source_id (str): Unique identifier for the source. + task_status: Task state manager for progress updates. + + Returns: + None + """ + # Ensure the folder exists + if not os.path.exists(folder_name): + os.makedirs(folder_name) + + # Initialize vector store + if settings.VECTOR_STORE == "faiss": + docs_init = [docs.pop(0)] + store = VectorCreator.create_vectorstore( + settings.VECTOR_STORE, + docs_init=docs_init, + source_id=folder_name, + embeddings_key=os.getenv("EMBEDDINGS_KEY"), + ) + else: + store = VectorCreator.create_vectorstore( + settings.VECTOR_STORE, + source_id=source_id, + embeddings_key=os.getenv("EMBEDDINGS_KEY"), + ) + store.delete_index() + + total_docs = len(docs) + + # Process and embed documents + for idx, doc in tqdm( + enumerate(docs), + desc="Embedding 🦖", + unit="docs", + total=total_docs, + bar_format="{l_bar}{bar}| Time Left: {remaining}", + ): + try: + # Update task status for progress tracking + progress = int(((idx + 1) / total_docs) * 100) + task_status.update_state(state="PROGRESS", meta={"current": progress}) + + # Add document to vector store + add_text_to_store_with_retry(store, doc, source_id) + except Exception as e: + logging.error(f"Error embedding document {idx}: {e}", exc_info=True) + logging.info(f"Saving progress at document {idx} out of {total_docs}") + store.save_local(folder_name) + break + + # Save the vector store + if settings.VECTOR_STORE == "faiss": + store.save_local(folder_name) + logging.info("Vector store saved successfully.") diff --git a/application/parser/file/__init__.py b/application/parser/file/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/application/parser/file/__init__.py @@ -0,0 +1 @@ + diff --git a/application/parser/file/base.py b/application/parser/file/base.py new file mode 100644 index 00000000..f63e8ef6 --- /dev/null +++ b/application/parser/file/base.py @@ -0,0 +1,19 @@ +"""Base reader class.""" +from abc import abstractmethod +from typing import Any, List + +from langchain.docstore.document import Document as LCDocument +from application.parser.schema.base import Document + + +class BaseReader: + """Utilities for loading data from a directory.""" + + @abstractmethod + def load_data(self, *args: Any, **load_kwargs: Any) -> List[Document]: + """Load data from the input directory.""" + + def load_langchain_documents(self, **load_kwargs: Any) -> List[LCDocument]: + """Load data in LangChain document format.""" + docs = self.load_data(**load_kwargs) + return [d.to_langchain_format() for d in docs] diff --git a/application/parser/file/base_parser.py b/application/parser/file/base_parser.py new file mode 100644 index 00000000..753a56f9 --- /dev/null +++ b/application/parser/file/base_parser.py @@ -0,0 +1,38 @@ +"""Base parser and config class.""" + +from abc import abstractmethod +from pathlib import Path +from typing import Dict, List, Optional, Union + + +class BaseParser: + """Base class for all parsers.""" + + def __init__(self, parser_config: Optional[Dict] = None): + """Init params.""" + self._parser_config = parser_config + + def init_parser(self) -> None: + """Init parser and store it.""" + parser_config = self._init_parser() + self._parser_config = parser_config + + @property + def parser_config_set(self) -> bool: + """Check if parser config is set.""" + return self._parser_config is not None + + @property + def parser_config(self) -> Dict: + """Check if parser config is set.""" + if self._parser_config is None: + raise ValueError("Parser config not set.") + return self._parser_config + + @abstractmethod + def _init_parser(self) -> Dict: + """Initialize the parser with the config.""" + + @abstractmethod + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, List[str]]: + """Parse file.""" diff --git a/application/parser/file/bulk.py b/application/parser/file/bulk.py new file mode 100644 index 00000000..da6dc298 --- /dev/null +++ b/application/parser/file/bulk.py @@ -0,0 +1,183 @@ +"""Simple reader that reads files of different formats from a directory.""" +import logging +from pathlib import Path +from typing import Callable, Dict, List, Optional, Union + +from application.parser.file.base import BaseReader +from application.parser.file.base_parser import BaseParser +from application.parser.file.docs_parser import DocxParser, PDFParser +from application.parser.file.epub_parser import EpubParser +from application.parser.file.html_parser import HTMLParser +from application.parser.file.markdown_parser import MarkdownParser +from application.parser.file.rst_parser import RstParser +from application.parser.file.tabular_parser import PandasCSVParser,ExcelParser +from application.parser.file.json_parser import JSONParser +from application.parser.file.pptx_parser import PPTXParser +from application.parser.file.image_parser import ImageParser +from application.parser.schema.base import Document + +DEFAULT_FILE_EXTRACTOR: Dict[str, BaseParser] = { + ".pdf": PDFParser(), + ".docx": DocxParser(), + ".csv": PandasCSVParser(), + ".xlsx":ExcelParser(), + ".epub": EpubParser(), + ".md": MarkdownParser(), + ".rst": RstParser(), + ".html": HTMLParser(), + ".mdx": MarkdownParser(), + ".json":JSONParser(), + ".pptx":PPTXParser(), + ".png": ImageParser(), + ".jpg": ImageParser(), + ".jpeg": ImageParser(), +} + + +class SimpleDirectoryReader(BaseReader): + """Simple directory reader. + + Can read files into separate documents, or concatenates + files into one document text. + + Args: + input_dir (str): Path to the directory. + input_files (List): List of file paths to read (Optional; overrides input_dir) + exclude_hidden (bool): Whether to exclude hidden files (dotfiles). + errors (str): how encoding and decoding errors are to be handled, + see https://docs.python.org/3/library/functions.html#open + recursive (bool): Whether to recursively search in subdirectories. + False by default. + required_exts (Optional[List[str]]): List of required extensions. + Default is None. + file_extractor (Optional[Dict[str, BaseParser]]): A mapping of file + extension to a BaseParser class that specifies how to convert that file + to text. See DEFAULT_FILE_EXTRACTOR. + num_files_limit (Optional[int]): Maximum number of files to read. + Default is None. + file_metadata (Optional[Callable[str, Dict]]): A function that takes + in a filename and returns a Dict of metadata for the Document. + Default is None. + """ + + def __init__( + self, + input_dir: Optional[str] = None, + input_files: Optional[List] = None, + exclude_hidden: bool = True, + errors: str = "ignore", + recursive: bool = True, + required_exts: Optional[List[str]] = None, + file_extractor: Optional[Dict[str, BaseParser]] = None, + num_files_limit: Optional[int] = None, + file_metadata: Optional[Callable[[str], Dict]] = None, + ) -> None: + """Initialize with parameters.""" + super().__init__() + + if not input_dir and not input_files: + raise ValueError("Must provide either `input_dir` or `input_files`.") + + self.errors = errors + + self.recursive = recursive + self.exclude_hidden = exclude_hidden + self.required_exts = required_exts + self.num_files_limit = num_files_limit + + if input_files: + self.input_files = [] + for path in input_files: + print(path) + input_file = Path(path) + self.input_files.append(input_file) + elif input_dir: + self.input_dir = Path(input_dir) + self.input_files = self._add_files(self.input_dir) + + self.file_extractor = file_extractor or DEFAULT_FILE_EXTRACTOR + self.file_metadata = file_metadata + + def _add_files(self, input_dir: Path) -> List[Path]: + """Add files.""" + input_files = sorted(input_dir.iterdir()) + new_input_files = [] + dirs_to_explore = [] + for input_file in input_files: + if input_file.is_dir(): + if self.recursive: + dirs_to_explore.append(input_file) + elif self.exclude_hidden and input_file.name.startswith("."): + continue + elif ( + self.required_exts is not None + and input_file.suffix not in self.required_exts + ): + continue + else: + new_input_files.append(input_file) + + for dir_to_explore in dirs_to_explore: + sub_input_files = self._add_files(dir_to_explore) + new_input_files.extend(sub_input_files) + + if self.num_files_limit is not None and self.num_files_limit > 0: + new_input_files = new_input_files[0: self.num_files_limit] + + # print total number of files added + logging.debug( + f"> [SimpleDirectoryReader] Total files added: {len(new_input_files)}" + ) + + return new_input_files + + def load_data(self, concatenate: bool = False) -> List[Document]: + """Load data from the input directory. + + Args: + concatenate (bool): whether to concatenate all files into one document. + If set to True, file metadata is ignored. + False by default. + + Returns: + List[Document]: A list of documents. + + """ + data: Union[str, List[str]] = "" + data_list: List[str] = [] + metadata_list = [] + for input_file in self.input_files: + if input_file.suffix in self.file_extractor: + parser = self.file_extractor[input_file.suffix] + if not parser.parser_config_set: + parser.init_parser() + data = parser.parse_file(input_file, errors=self.errors) + else: + # do standard read + with open(input_file, "r", errors=self.errors) as f: + data = f.read() + # Prepare metadata for this file + if self.file_metadata is not None: + file_metadata = self.file_metadata(input_file.name) + else: + # Provide a default empty metadata + file_metadata = {'title': '', 'store': ''} + # TODO: Find a case with no metadata and check if breaks anything + + if isinstance(data, List): + # Extend data_list with each item in the data list + data_list.extend([str(d) for d in data]) + # For each item in the data list, add the file's metadata to metadata_list + metadata_list.extend([file_metadata for _ in data]) + else: + # Add the single piece of data to data_list + data_list.append(str(data)) + # Add the file's metadata to metadata_list + metadata_list.append(file_metadata) + + if concatenate: + return [Document("\n".join(data_list))] + elif self.file_metadata is not None: + return [Document(d, extra_info=m) for d, m in zip(data_list, metadata_list)] + else: + return [Document(d) for d in data_list] diff --git a/application/parser/file/docs_parser.py b/application/parser/file/docs_parser.py new file mode 100644 index 00000000..a1295290 --- /dev/null +++ b/application/parser/file/docs_parser.py @@ -0,0 +1,70 @@ +"""Docs parser. + +Contains parsers for docx, pdf files. + +""" +from pathlib import Path +from typing import Dict + +from application.parser.file.base_parser import BaseParser +from application.core.settings import settings +import requests + +class PDFParser(BaseParser): + """PDF parser.""" + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> str: + """Parse file.""" + if settings.PARSE_PDF_AS_IMAGE: + doc2md_service = "https://llm.arc53.com/doc2md" + # alternatively you can use local vision capable LLM + with open(file, "rb") as file_loaded: + files = {'file': file_loaded} + response = requests.post(doc2md_service, files=files) + data = response.json()["markdown"] + return data + + try: + from pypdf import PdfReader + except ImportError: + raise ValueError("pypdf is required to read PDF files.") + text_list = [] + with open(file, "rb") as fp: + # Create a PDF object + pdf = PdfReader(fp) + + # Get the number of pages in the PDF document + num_pages = len(pdf.pages) + + # Iterate over every page + for page_index in range(num_pages): + # Extract the text from the page + page = pdf.pages[page_index] + page_text = page.extract_text() + text_list.append(page_text) + text = "\n".join(text_list) + + return text + + +class DocxParser(BaseParser): + """Docx parser.""" + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> str: + """Parse file.""" + try: + import docx2txt + except ImportError: + raise ValueError("docx2txt is required to read Microsoft Word files.") + + text = docx2txt.process(file) + + return text \ No newline at end of file diff --git a/application/parser/file/epub_parser.py b/application/parser/file/epub_parser.py new file mode 100644 index 00000000..4f5e8711 --- /dev/null +++ b/application/parser/file/epub_parser.py @@ -0,0 +1,43 @@ +"""Epub parser. + +Contains parsers for epub files. +""" + +from pathlib import Path +from typing import Dict + +from application.parser.file.base_parser import BaseParser + + +class EpubParser(BaseParser): + """Epub Parser.""" + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> str: + """Parse file.""" + try: + import ebooklib + from ebooklib import epub + except ImportError: + raise ValueError("`EbookLib` is required to read Epub files.") + try: + import html2text + except ImportError: + raise ValueError("`html2text` is required to parse Epub files.") + + text_list = [] + book = epub.read_epub(file, options={"ignore_ncx": True}) + + # Iterate through all chapters. + for item in book.get_items(): + # Chapters are typically located in epub documents items. + if item.get_type() == ebooklib.ITEM_DOCUMENT: + text_list.append( + html2text.html2text(item.get_content().decode("utf-8")) + ) + + text = "\n".join(text_list) + return text diff --git a/application/parser/file/html_parser.py b/application/parser/file/html_parser.py new file mode 100644 index 00000000..4d69c870 --- /dev/null +++ b/application/parser/file/html_parser.py @@ -0,0 +1,24 @@ +"""HTML parser. + +Contains parser for html files. + +""" +from pathlib import Path +from typing import Dict, Union + +from application.parser.file.base_parser import BaseParser + + +class HTMLParser(BaseParser): + """HTML parser.""" + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, list[str]]: + from langchain_community.document_loaders import BSHTMLLoader + + loader = BSHTMLLoader(file) + data = loader.load() + return data diff --git a/application/parser/file/image_parser.py b/application/parser/file/image_parser.py new file mode 100644 index 00000000..fd800d91 --- /dev/null +++ b/application/parser/file/image_parser.py @@ -0,0 +1,27 @@ +"""Image parser. + +Contains parser for .png, .jpg, .jpeg files. + +""" +from pathlib import Path +import requests +from typing import Dict, Union + +from application.parser.file.base_parser import BaseParser + + +class ImageParser(BaseParser): + """Image parser.""" + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, list[str]]: + doc2md_service = "https://llm.arc53.com/doc2md" + # alternatively you can use local vision capable LLM + with open(file, "rb") as file_loaded: + files = {'file': file_loaded} + response = requests.post(doc2md_service, files=files) + data = response.json()["markdown"] + return data diff --git a/application/parser/file/json_parser.py b/application/parser/file/json_parser.py new file mode 100644 index 00000000..0201b420 --- /dev/null +++ b/application/parser/file/json_parser.py @@ -0,0 +1,57 @@ +import json +from typing import Any, Dict, List, Union +from pathlib import Path + +from application.parser.file.base_parser import BaseParser + +class JSONParser(BaseParser): + r"""JSON (.json) parser. + + Parses JSON files into a list of strings or a concatenated document. + It handles both JSON objects (dictionaries) and arrays (lists). + + Args: + concat_rows (bool): Whether to concatenate all rows into one document. + If set to False, a Document will be created for each item in the JSON. + True by default. + + row_joiner (str): Separator to use for joining each row. + Only used when `concat_rows=True`. + Set to "\n" by default. + + json_config (dict): Options for parsing JSON. Can be used to specify options like + custom decoding or formatting. Set to empty dict by default. + + """ + + def __init__( + self, + *args: Any, + concat_rows: bool = True, + row_joiner: str = "\n", + json_config: dict = {}, + **kwargs: Any + ) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._concat_rows = concat_rows + self._row_joiner = row_joiner + self._json_config = json_config + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, List[str]]: + """Parse JSON file.""" + + with open(file, 'r', encoding='utf-8') as f: + data = json.load(f, **self._json_config) + + if isinstance(data, dict): + data = [data] + + if self._concat_rows: + return self._row_joiner.join([str(item) for item in data]) + else: + return data diff --git a/application/parser/file/markdown_parser.py b/application/parser/file/markdown_parser.py new file mode 100644 index 00000000..d906e9b6 --- /dev/null +++ b/application/parser/file/markdown_parser.py @@ -0,0 +1,145 @@ +"""Markdown parser. + +Contains parser for md files. + +""" +import re +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple, Union, cast + +import tiktoken +from application.parser.file.base_parser import BaseParser + + +class MarkdownParser(BaseParser): + """Markdown parser. + + Extract text from markdown files. + Returns dictionary with keys as headers and values as the text between headers. + + """ + + def __init__( + self, + *args: Any, + remove_hyperlinks: bool = True, + remove_images: bool = True, + max_tokens: int = 2048, + # remove_tables: bool = True, + **kwargs: Any, + ) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._remove_hyperlinks = remove_hyperlinks + self._remove_images = remove_images + self._max_tokens = max_tokens + # self._remove_tables = remove_tables + + def tups_chunk_append(self, tups: List[Tuple[Optional[str], str]], current_header: Optional[str], + current_text: str): + """Append to tups chunk.""" + num_tokens = len(tiktoken.get_encoding("cl100k_base").encode(current_text)) + if num_tokens > self._max_tokens: + chunks = [current_text[i:i + self._max_tokens] for i in range(0, len(current_text), self._max_tokens)] + for chunk in chunks: + tups.append((current_header, chunk)) + else: + tups.append((current_header, current_text)) + return tups + + def markdown_to_tups(self, markdown_text: str) -> List[Tuple[Optional[str], str]]: + """Convert a markdown file to a dictionary. + + The keys are the headers and the values are the text under each header. + + """ + markdown_tups: List[Tuple[Optional[str], str]] = [] + lines = markdown_text.split("\n") + + current_header = None + current_text = "" + + for line in lines: + header_match = re.match(r"^#+\s", line) + if header_match: + if current_header is not None: + if current_text == "" or None: + continue + markdown_tups = self.tups_chunk_append(markdown_tups, current_header, current_text) + + current_header = line + current_text = "" + else: + current_text += line + "\n" + markdown_tups = self.tups_chunk_append(markdown_tups, current_header, current_text) + + if current_header is not None: + # pass linting, assert keys are defined + markdown_tups = [ + (re.sub(r"#", "", cast(str, key)).strip(), re.sub(r"<.*?>", "", value)) + for key, value in markdown_tups + ] + else: + markdown_tups = [ + (key, re.sub("\n", "", value)) for key, value in markdown_tups + ] + + return markdown_tups + + def remove_images(self, content: str) -> str: + """Get a dictionary of a markdown file from its path.""" + pattern = r"!{1}\[\[(.*)\]\]" + content = re.sub(pattern, "", content) + return content + + # def remove_tables(self, content: str) -> List[List[str]]: + # """Convert markdown tables to nested lists.""" + # table_rows_pattern = r"((\r?\n){2}|^)([^\r\n]*\|[^\r\n]*(\r?\n)?)+(?=(\r?\n){2}|$)" + # table_cells_pattern = r"([^\|\r\n]*)\|" + # + # table_rows = re.findall(table_rows_pattern, content, re.MULTILINE) + # table_lists = [] + # for row in table_rows: + # cells = re.findall(table_cells_pattern, row[2]) + # cells = [cell.strip() for cell in cells if cell.strip()] + # table_lists.append(cells) + # return str(table_lists) + + def remove_hyperlinks(self, content: str) -> str: + """Get a dictionary of a markdown file from its path.""" + pattern = r"\[(.*?)\]\((.*?)\)" + content = re.sub(pattern, r"\1", content) + return content + + def _init_parser(self) -> Dict: + """Initialize the parser with the config.""" + return {} + + def parse_tups( + self, filepath: Path, errors: str = "ignore" + ) -> List[Tuple[Optional[str], str]]: + """Parse file into tuples.""" + with open(filepath, "r") as f: + content = f.read() + if self._remove_hyperlinks: + content = self.remove_hyperlinks(content) + if self._remove_images: + content = self.remove_images(content) + # if self._remove_tables: + # content = self.remove_tables(content) + markdown_tups = self.markdown_to_tups(content) + return markdown_tups + + def parse_file( + self, filepath: Path, errors: str = "ignore" + ) -> Union[str, List[str]]: + """Parse file into string.""" + tups = self.parse_tups(filepath, errors=errors) + results = [] + # TODO: don't include headers right now + for header, value in tups: + if header is None: + results.append(value) + else: + results.append(f"\n\n{header}\n{value}") + return results diff --git a/application/parser/file/openapi3_parser.py b/application/parser/file/openapi3_parser.py new file mode 100644 index 00000000..3c5082fa --- /dev/null +++ b/application/parser/file/openapi3_parser.py @@ -0,0 +1,51 @@ +from urllib.parse import urlparse + +from openapi_parser import parse + +try: + from application.parser.file.base_parser import BaseParser +except ModuleNotFoundError: + from base_parser import BaseParser + + +class OpenAPI3Parser(BaseParser): + def init_parser(self) -> None: + return super().init_parser() + + def get_base_urls(self, urls): + base_urls = [] + for i in urls: + parsed_url = urlparse(i) + base_url = parsed_url.scheme + "://" + parsed_url.netloc + if base_url not in base_urls: + base_urls.append(base_url) + return base_urls + + def get_info_from_paths(self, path): + info = "" + if path.operations: + for operation in path.operations: + info += ( + f"\n{operation.method.value}=" + f"{operation.responses[0].description}" + ) + return info + + def parse_file(self, file_path): + data = parse(file_path) + results = "" + base_urls = self.get_base_urls(link.url for link in data.servers) + base_urls = ",".join([base_url for base_url in base_urls]) + results += f"Base URL:{base_urls}\n" + i = 1 + for path in data.paths: + info = self.get_info_from_paths(path) + results += ( + f"Path{i}: {path.url}\n" + f"description: {path.description}\n" + f"parameters: {path.parameters}\nmethods: {info}\n" + ) + i += 1 + with open("results.txt", "w") as f: + f.write(results) + return results diff --git a/application/parser/file/pptx_parser.py b/application/parser/file/pptx_parser.py new file mode 100644 index 00000000..00cb3698 --- /dev/null +++ b/application/parser/file/pptx_parser.py @@ -0,0 +1,75 @@ +"""PPT parser. +Contains parsers for presentation (.pptx) files to extract slide text. +""" +from pathlib import Path +from typing import Any, Dict, List, Union + +from application.parser.file.base_parser import BaseParser + +class PPTXParser(BaseParser): + r"""PPTX (.pptx) parser for extracting text from PowerPoint slides. + Args: + concat_slides (bool): Specifies whether to concatenate all slide text into one document. + - If True, slide texts will be joined together as a single string. + - If False, each slide's text will be stored as a separate entry in a list. + Set to True by default. + slide_separator (str): Separator used to join slides' text content. + Only used when `concat_slides=True`. Default is "\n". + Refer to https://python-pptx.readthedocs.io/en/latest/ for more information. + """ + + def __init__( + self, + *args: Any, + concat_slides: bool = True, + slide_separator: str = "\n", + **kwargs: Any + ) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._concat_slides = concat_slides + self._slide_separator = slide_separator + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, List[str]]: + r""" + Parse a .pptx file and extract text from each slide. + Args: + file (Path): Path to the .pptx file. + errors (str): Error handling policy ('ignore' by default). + Returns: + Union[str, List[str]]: Concatenated text if concat_slides is True, + otherwise a list of slide texts. + """ + + try: + from pptx import Presentation + except ImportError: + raise ImportError("pptx module is required to read .PPTX files.") + + try: + presentation = Presentation(file) + slide_texts=[] + + # Iterate over each slide in the presentation + for slide in presentation.slides: + slide_text="" + + # Iterate over each shape in the slide + for shape in slide.shapes: + # Check if the shape has a 'text' attribute and append that to the slide_text + if hasattr(shape,"text"): + slide_text+=shape.text + + slide_texts.append(slide_text.strip()) + + if self._concat_slides: + return self._slide_separator.join(slide_texts) + else: + return slide_texts + + except Exception as e: + raise e \ No newline at end of file diff --git a/application/parser/file/rst_parser.py b/application/parser/file/rst_parser.py new file mode 100644 index 00000000..d39a0837 --- /dev/null +++ b/application/parser/file/rst_parser.py @@ -0,0 +1,201 @@ +"""reStructuredText parser. + +Contains parser for md files. + +""" +import re +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple, Union + +from application.parser.file.base_parser import BaseParser + + +class RstParser(BaseParser): + """reStructuredText parser. + + Extract text from .rst files. + Returns dictionary with keys as headers and values as the text between headers. + + """ + + def __init__( + self, + *args: Any, + remove_hyperlinks: bool = True, + remove_images: bool = True, + remove_table_excess: bool = True, + remove_interpreters: bool = True, + remove_directives: bool = True, + remove_whitespaces_excess: bool = True, + # Be careful with remove_characters_excess, might cause data loss + remove_characters_excess: bool = True, + **kwargs: Any, + ) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._remove_hyperlinks = remove_hyperlinks + self._remove_images = remove_images + self._remove_table_excess = remove_table_excess + self._remove_interpreters = remove_interpreters + self._remove_directives = remove_directives + self._remove_whitespaces_excess = remove_whitespaces_excess + self._remove_characters_excess = remove_characters_excess + + def rst_to_tups(self, rst_text: str) -> List[Tuple[Optional[str], str]]: + """Convert a reStructuredText file to a dictionary. + + The keys are the headers and the values are the text under each header. + + """ + rst_tups: List[Tuple[Optional[str], str]] = [] + lines = rst_text.split("\n") + + current_header = None + current_text = "" + + for i, line in enumerate(lines): + header_match = re.match(r"^[^\S\n]*[-=]+[^\S\n]*$", line) + if header_match and i > 0 and ( + len(lines[i - 1].strip()) == len(header_match.group().strip()) or lines[i - 2] == lines[i - 2]): + if current_header is not None: + if current_text == "" or None: + continue + # removes the next heading from current Document + if current_text.endswith(lines[i - 1] + "\n"): + current_text = current_text[:len(current_text) - len(lines[i - 1] + "\n")] + rst_tups.append((current_header, current_text)) + + current_header = lines[i - 1] + current_text = "" + else: + current_text += line + "\n" + + rst_tups.append((current_header, current_text)) + + # TODO: Format for rst + # + # if current_header is not None: + # # pass linting, assert keys are defined + # rst_tups = [ + # (re.sub(r"#", "", cast(str, key)).strip(), re.sub(r"<.*?>", "", value)) + # for key, value in rst_tups + # ] + # else: + # rst_tups = [ + # (key, re.sub("\n", "", value)) for key, value in rst_tups + # ] + + if current_header is None: + rst_tups = [ + (key, re.sub("\n", "", value)) for key, value in rst_tups + ] + return rst_tups + + def chunk_by_token_count(self, text: str, max_tokens: int = 100) -> List[str]: + """Chunk text by token count.""" + + avg_token_length = 5 + + chunk_size = max_tokens * avg_token_length + + chunks = [] + for i in range(0, len(text), chunk_size): + chunk = text[i:i+chunk_size] + if i + chunk_size < len(text): + last_space = chunk.rfind(' ') + if last_space != -1: + chunk = chunk[:last_space] + + chunks.append(chunk.strip()) + + return chunks + + def remove_images(self, content: str) -> str: + pattern = r"\.\. image:: (.*)" + content = re.sub(pattern, "", content) + return content + + def remove_hyperlinks(self, content: str) -> str: + pattern = r"`(.*?) <(.*?)>`_" + content = re.sub(pattern, r"\1", content) + return content + + def remove_directives(self, content: str) -> str: + """Removes reStructuredText Directives""" + pattern = r"`\.\.([^:]+)::" + content = re.sub(pattern, "", content) + return content + + def remove_interpreters(self, content: str) -> str: + """Removes reStructuredText Interpreted Text Roles""" + pattern = r":(\w+):" + content = re.sub(pattern, "", content) + return content + + def remove_table_excess(self, content: str) -> str: + """Pattern to remove grid table separators""" + pattern = r"^\+[-]+\+[-]+\+$" + content = re.sub(pattern, "", content, flags=re.MULTILINE) + return content + + def remove_whitespaces_excess(self, content: List[Tuple[str, Any]]) -> List[Tuple[str, Any]]: + """Pattern to match 2 or more consecutive whitespaces""" + pattern = r"\s{2,}" + content = [(key, re.sub(pattern, " ", value)) for key, value in content] + return content + + def remove_characters_excess(self, content: List[Tuple[str, Any]]) -> List[Tuple[str, Any]]: + """Pattern to match 2 or more consecutive characters""" + pattern = r"(\S)\1{2,}" + content = [(key, re.sub(pattern, r"\1\1\1", value, flags=re.MULTILINE)) for key, value in content] + return content + + def _init_parser(self) -> Dict: + """Initialize the parser with the config.""" + return {} + + def parse_tups( + self, filepath: Path, errors: str = "ignore",max_tokens: Optional[int] = 1000 + ) -> List[Tuple[Optional[str], str]]: + """Parse file into tuples.""" + with open(filepath, "r") as f: + content = f.read() + if self._remove_hyperlinks: + content = self.remove_hyperlinks(content) + if self._remove_images: + content = self.remove_images(content) + if self._remove_table_excess: + content = self.remove_table_excess(content) + if self._remove_directives: + content = self.remove_directives(content) + if self._remove_interpreters: + content = self.remove_interpreters(content) + rst_tups = self.rst_to_tups(content) + if self._remove_whitespaces_excess: + rst_tups = self.remove_whitespaces_excess(rst_tups) + if self._remove_characters_excess: + rst_tups = self.remove_characters_excess(rst_tups) + + # Apply chunking if max_tokens is provided + if max_tokens is not None: + chunked_tups = [] + for header, text in rst_tups: + chunks = self.chunk_by_token_count(text, max_tokens) + for idx, chunk in enumerate(chunks): + chunked_tups.append((f"{header} - Chunk {idx + 1}", chunk)) + return chunked_tups + return rst_tups + + def parse_file( + self, filepath: Path, errors: str = "ignore" + ) -> Union[str, List[str]]: + """Parse file into string.""" + tups = self.parse_tups(filepath, errors=errors) + results = [] + # TODO: don't include headers right now + for header, value in tups: + if header is None: + results.append(value) + else: + results.append(f"\n\n{header}\n{value}") + return results diff --git a/application/parser/file/tabular_parser.py b/application/parser/file/tabular_parser.py new file mode 100644 index 00000000..40971b3c --- /dev/null +++ b/application/parser/file/tabular_parser.py @@ -0,0 +1,221 @@ +"""Tabular parser. + +Contains parsers for tabular data files. + +""" +from pathlib import Path +from typing import Any, Dict, List, Union + +from application.parser.file.base_parser import BaseParser + + +class CSVParser(BaseParser): + """CSV parser. + + Args: + concat_rows (bool): whether to concatenate all rows into one document. + If set to False, a Document will be created for each row. + True by default. + + """ + + def __init__(self, *args: Any, concat_rows: bool = True, **kwargs: Any) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._concat_rows = concat_rows + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, List[str]]: + """Parse file. + + Returns: + Union[str, List[str]]: a string or a List of strings. + + """ + try: + import csv + except ImportError: + raise ValueError("csv module is required to read CSV files.") + text_list = [] + with open(file, "r") as fp: + csv_reader = csv.reader(fp) + for row in csv_reader: + text_list.append(", ".join(row)) + if self._concat_rows: + return "\n".join(text_list) + else: + return text_list + + +class PandasCSVParser(BaseParser): + r"""Pandas-based CSV parser. + + Parses CSVs using the separator detection from Pandas `read_csv`function. + If special parameters are required, use the `pandas_config` dict. + + Args: + concat_rows (bool): whether to concatenate all rows into one document. + If set to False, a Document will be created for each row. + True by default. + + col_joiner (str): Separator to use for joining cols per row. + Set to ", " by default. + + row_joiner (str): Separator to use for joining each row. + Only used when `concat_rows=True`. + Set to "\n" by default. + + pandas_config (dict): Options for the `pandas.read_csv` function call. + Refer to https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html + for more information. + Set to empty dict by default, this means pandas will try to figure + out the separators, table head, etc. on its own. + + header_period (int): Controls how headers are included in output: + - 0: Headers only at the beginning + - 1: Headers in every row + - N > 1: Headers every N rows + + header_prefix (str): Prefix for header rows. Default is "HEADERS: ". + """ + + def __init__( + self, + *args: Any, + concat_rows: bool = True, + col_joiner: str = ", ", + row_joiner: str = "\n", + pandas_config: dict = {}, + header_period: int = 20, + header_prefix: str = "HEADERS: ", + **kwargs: Any + ) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._concat_rows = concat_rows + self._col_joiner = col_joiner + self._row_joiner = row_joiner + self._pandas_config = pandas_config + self._header_period = header_period + self._header_prefix = header_prefix + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, List[str]]: + """Parse file.""" + try: + import pandas as pd + except ImportError: + raise ValueError("pandas module is required to read CSV files.") + + df = pd.read_csv(file, **self._pandas_config) + headers = df.columns.tolist() + header_row = f"{self._header_prefix}{self._col_joiner.join(headers)}" + + if not self._concat_rows: + return df.apply( + lambda row: (self._col_joiner).join(row.astype(str).tolist()), axis=1 + ).tolist() + + text_list = [] + if self._header_period != 1: + text_list.append(header_row) + + for i, row in df.iterrows(): + if (self._header_period > 1 and i > 0 and i % self._header_period == 0): + text_list.append(header_row) + text_list.append(self._col_joiner.join(row.astype(str).tolist())) + if self._header_period == 1 and i < len(df) - 1: + text_list.append(header_row) + + return self._row_joiner.join(text_list) + + +class ExcelParser(BaseParser): + r"""Excel (.xlsx) parser. + + Parses Excel files using Pandas `read_excel` function. + If special parameters are required, use the `pandas_config` dict. + + Args: + concat_rows (bool): whether to concatenate all rows into one document. + If set to False, a Document will be created for each row. + True by default. + + col_joiner (str): Separator to use for joining cols per row. + Set to ", " by default. + + row_joiner (str): Separator to use for joining each row. + Only used when `concat_rows=True`. + Set to "\n" by default. + + pandas_config (dict): Options for the `pandas.read_excel` function call. + Refer to https://pandas.pydata.org/docs/reference/api/pandas.read_excel.html + for more information. + Set to empty dict by default, this means pandas will try to figure + out the table structure on its own. + + header_period (int): Controls how headers are included in output: + - 0: Headers only at the beginning (default) + - 1: Headers in every row + - N > 1: Headers every N rows + + header_prefix (str): Prefix for header rows. Default is "HEADERS: ". + """ + + def __init__( + self, + *args: Any, + concat_rows: bool = True, + col_joiner: str = ", ", + row_joiner: str = "\n", + pandas_config: dict = {}, + header_period: int = 20, + header_prefix: str = "HEADERS: ", + **kwargs: Any + ) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._concat_rows = concat_rows + self._col_joiner = col_joiner + self._row_joiner = row_joiner + self._pandas_config = pandas_config + self._header_period = header_period + self._header_prefix = header_prefix + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, List[str]]: + """Parse file.""" + try: + import pandas as pd + except ImportError: + raise ValueError("pandas module is required to read Excel files.") + + df = pd.read_excel(file, **self._pandas_config) + headers = df.columns.tolist() + header_row = f"{self._header_prefix}{self._col_joiner.join(headers)}" + + if not self._concat_rows: + return df.apply( + lambda row: (self._col_joiner).join(row.astype(str).tolist()), axis=1 + ).tolist() + + text_list = [] + if self._header_period != 1: + text_list.append(header_row) + + for i, row in df.iterrows(): + if (self._header_period > 1 and i > 0 and i % self._header_period == 0): + text_list.append(header_row) + text_list.append(self._col_joiner.join(row.astype(str).tolist())) + if self._header_period == 1 and i < len(df) - 1: + text_list.append(header_row) + return self._row_joiner.join(text_list) \ No newline at end of file diff --git a/application/parser/remote/base.py b/application/parser/remote/base.py new file mode 100644 index 00000000..91313f22 --- /dev/null +++ b/application/parser/remote/base.py @@ -0,0 +1,19 @@ +"""Base reader class.""" +from abc import abstractmethod +from typing import Any, List + +from langchain.docstore.document import Document as LCDocument +from application.parser.schema.base import Document + + +class BaseRemote: + """Utilities for loading data from a directory.""" + + @abstractmethod + def load_data(self, *args: Any, **load_kwargs: Any) -> List[Document]: + """Load data from the input directory.""" + + def load_langchain_documents(self, **load_kwargs: Any) -> List[LCDocument]: + """Load data in LangChain document format.""" + docs = self.load_data(**load_kwargs) + return [d.to_langchain_format() for d in docs] diff --git a/application/parser/remote/crawler_loader.py b/application/parser/remote/crawler_loader.py new file mode 100644 index 00000000..2ff6cf6f --- /dev/null +++ b/application/parser/remote/crawler_loader.py @@ -0,0 +1,65 @@ +import logging +import requests +from urllib.parse import urlparse, urljoin +from bs4 import BeautifulSoup +from application.parser.remote.base import BaseRemote +from application.parser.schema.base import Document +from langchain_community.document_loaders import WebBaseLoader + +class CrawlerLoader(BaseRemote): + def __init__(self, limit=10): + self.loader = WebBaseLoader # Initialize the document loader + self.limit = limit # Set the limit for the number of pages to scrape + + def load_data(self, inputs): + url = inputs + if isinstance(url, list) and url: + url = url[0] + + # Check if the URL scheme is provided, if not, assume http + if not urlparse(url).scheme: + url = "http://" + url + + visited_urls = set() + base_url = urlparse(url).scheme + "://" + urlparse(url).hostname + urls_to_visit = [url] + loaded_content = [] + + while urls_to_visit: + current_url = urls_to_visit.pop(0) + visited_urls.add(current_url) + + try: + response = requests.get(current_url) + response.raise_for_status() + loader = self.loader([current_url]) + docs = loader.load() + # Convert the loaded documents to your Document schema + for doc in docs: + loaded_content.append( + Document( + doc.page_content, + extra_info=doc.metadata + ) + ) + except Exception as e: + logging.error(f"Error processing URL {current_url}: {e}", exc_info=True) + continue + + # Parse the HTML content to extract all links + soup = BeautifulSoup(response.text, 'html.parser') + all_links = [ + urljoin(current_url, a['href']) + for a in soup.find_all('a', href=True) + if base_url in urljoin(current_url, a['href']) + ] + + # Add new links to the list of URLs to visit if they haven't been visited yet + urls_to_visit.extend([link for link in all_links if link not in visited_urls]) + urls_to_visit = list(set(urls_to_visit)) + + # Stop crawling if the limit of pages to scrape is reached + if self.limit is not None and len(visited_urls) >= self.limit: + break + + return loaded_content diff --git a/application/parser/remote/crawler_markdown.py b/application/parser/remote/crawler_markdown.py new file mode 100644 index 00000000..3d199332 --- /dev/null +++ b/application/parser/remote/crawler_markdown.py @@ -0,0 +1,139 @@ +import requests +from urllib.parse import urlparse, urljoin +from bs4 import BeautifulSoup +from application.parser.remote.base import BaseRemote +import re +from markdownify import markdownify +from application.parser.schema.base import Document +import tldextract + +class CrawlerLoader(BaseRemote): + def __init__(self, limit=10, allow_subdomains=False): + """ + Given a URL crawl web pages up to `self.limit`, + convert HTML content to Markdown, and returning a list of Document objects. + + :param limit: The maximum number of pages to crawl. + :param allow_subdomains: If True, crawl pages on subdomains of the base domain. + """ + self.limit = limit + self.allow_subdomains = allow_subdomains + self.session = requests.Session() + + def load_data(self, inputs): + url = inputs + if isinstance(url, list) and url: + url = url[0] + + # Ensure the URL has a scheme (if not, default to http) + if not urlparse(url).scheme: + url = "http://" + url + + # Keep track of visited URLs to avoid revisiting the same page + visited_urls = set() + + # Determine the base domain for link filtering using tldextract + base_domain = self._get_base_domain(url) + urls_to_visit = {url} + documents = [] + + while urls_to_visit: + current_url = urls_to_visit.pop() + + # Skip if already visited + if current_url in visited_urls: + continue + visited_urls.add(current_url) + + # Fetch the page content + html_content = self._fetch_page(current_url) + if html_content is None: + continue + + # Convert the HTML to Markdown for cleaner text formatting + title, language, processed_markdown = self._process_html_to_markdown(html_content, current_url) + if processed_markdown: + # Create a Document for each visited page + documents.append( + Document( + processed_markdown, # content + None, # doc_id + None, # embedding + {"source": current_url, "title": title, "language": language} # extra_info + ) + ) + + # Extract links and filter them according to domain rules + new_links = self._extract_links(html_content, current_url) + filtered_links = self._filter_links(new_links, base_domain) + + # Add any new, not-yet-visited links to the queue + urls_to_visit.update(link for link in filtered_links if link not in visited_urls) + + # If we've reached the limit, stop crawling + if self.limit is not None and len(visited_urls) >= self.limit: + break + + return documents + + def _fetch_page(self, url): + try: + response = self.session.get(url, timeout=10) + response.raise_for_status() + return response.text + except requests.exceptions.RequestException as e: + print(f"Error fetching URL {url}: {e}") + return None + + def _process_html_to_markdown(self, html_content, current_url): + soup = BeautifulSoup(html_content, 'html.parser') + title_tag = soup.find('title') + title = title_tag.text.strip() if title_tag else "No Title" + + # Extract language + language_tag = soup.find('html') + language = language_tag.get('lang', 'en') if language_tag else "en" + + markdownified = markdownify(html_content, heading_style="ATX", newline_style="BACKSLASH") + # Reduce sequences of more than two newlines to exactly three + markdownified = re.sub(r'\n{3,}', '\n\n\n', markdownified) + return title, language, markdownified + + def _extract_links(self, html_content, current_url): + soup = BeautifulSoup(html_content, 'html.parser') + links = [] + for a in soup.find_all('a', href=True): + full_url = urljoin(current_url, a['href']) + links.append((full_url, a.text.strip())) + return links + + def _get_base_domain(self, url): + extracted = tldextract.extract(url) + # Reconstruct the domain as domain.suffix + base_domain = f"{extracted.domain}.{extracted.suffix}" + return base_domain + + def _filter_links(self, links, base_domain): + """ + Filter the extracted links to only include those that match the crawling criteria: + - If allow_subdomains is True, allow any link whose domain ends with the base_domain. + - If allow_subdomains is False, only allow exact matches of the base_domain. + """ + filtered = [] + for link, _ in links: + parsed_link = urlparse(link) + if not parsed_link.netloc: + continue + + extracted = tldextract.extract(parsed_link.netloc) + link_base = f"{extracted.domain}.{extracted.suffix}" + + if self.allow_subdomains: + # For subdomains: sub.example.com ends with example.com + if link_base == base_domain or link_base.endswith("." + base_domain): + filtered.append(link) + else: + # Exact domain match + if link_base == base_domain: + filtered.append(link) + return filtered \ No newline at end of file diff --git a/application/parser/remote/github_loader.py b/application/parser/remote/github_loader.py new file mode 100644 index 00000000..8f805056 --- /dev/null +++ b/application/parser/remote/github_loader.py @@ -0,0 +1,58 @@ +import base64 +import requests +from typing import List +from application.parser.remote.base import BaseRemote +from langchain_core.documents import Document +import mimetypes + +class GitHubLoader(BaseRemote): + def __init__(self): + self.access_token = None + self.headers = { + "Authorization": f"token {self.access_token}" + } if self.access_token else {} + return + + def fetch_file_content(self, repo_url: str, file_path: str) -> str: + url = f"https://api.github.com/repos/{repo_url}/contents/{file_path}" + response = requests.get(url, headers=self.headers) + + if response.status_code == 200: + content = response.json() + mime_type, _ = mimetypes.guess_type(file_path) # Guess the MIME type based on the file extension + + if content.get("encoding") == "base64": + if mime_type and mime_type.startswith("text"): # Handle only text files + try: + decoded_content = base64.b64decode(content["content"]).decode("utf-8") + return f"Filename: {file_path}\n\n{decoded_content}" + except Exception as e: + raise e + else: + return f"Filename: {file_path} is a binary file and was skipped." + else: + return f"Filename: {file_path}\n\n{content['content']}" + else: + response.raise_for_status() + + def fetch_repo_files(self, repo_url: str, path: str = "") -> List[str]: + url = f"https://api.github.com/repos/{repo_url}/contents/{path}" + response = requests.get(url, headers={**self.headers, "Accept": "application/vnd.github.v3.raw"}) + contents = response.json() + files = [] + for item in contents: + if item["type"] == "file": + files.append(item["path"]) + elif item["type"] == "dir": + files.extend(self.fetch_repo_files(repo_url, item["path"])) + return files + + def load_data(self, repo_url: str) -> List[Document]: + repo_name = repo_url.split("github.com/")[-1] + files = self.fetch_repo_files(repo_name) + documents = [] + for file_path in files: + content = self.fetch_file_content(repo_name, file_path) + documents.append(Document(page_content=content, metadata={"title": file_path, + "source": f"https://github.com/{repo_name}/blob/main/{file_path}"})) + return documents diff --git a/application/parser/remote/reddit_loader.py b/application/parser/remote/reddit_loader.py new file mode 100644 index 00000000..22f5b185 --- /dev/null +++ b/application/parser/remote/reddit_loader.py @@ -0,0 +1,35 @@ +from application.parser.remote.base import BaseRemote +from langchain_community.document_loaders import RedditPostsLoader +import json + + +class RedditPostsLoaderRemote(BaseRemote): + def load_data(self, inputs): + try: + data = json.loads(inputs) + except json.JSONDecodeError as e: + raise ValueError(f"Invalid JSON input: {e}") + + required_fields = ["client_id", "client_secret", "user_agent", "search_queries"] + missing_fields = [field for field in required_fields if field not in data] + if missing_fields: + raise ValueError(f"Missing required fields: {', '.join(missing_fields)}") + client_id = data.get("client_id") + client_secret = data.get("client_secret") + user_agent = data.get("user_agent") + categories = data.get("categories", ["new", "hot"]) + mode = data.get("mode", "subreddit") + search_queries = data.get("search_queries") + number_posts = data.get("number_posts", 10) + self.loader = RedditPostsLoader( + client_id=client_id, + client_secret=client_secret, + user_agent=user_agent, + categories=categories, + mode=mode, + search_queries=search_queries, + number_posts=number_posts, + ) + documents = self.loader.load() + print(f"Loaded {len(documents)} documents from Reddit") + return documents diff --git a/application/parser/remote/remote_creator.py b/application/parser/remote/remote_creator.py new file mode 100644 index 00000000..026abd76 --- /dev/null +++ b/application/parser/remote/remote_creator.py @@ -0,0 +1,22 @@ +from application.parser.remote.sitemap_loader import SitemapLoader +from application.parser.remote.crawler_loader import CrawlerLoader +from application.parser.remote.web_loader import WebLoader +from application.parser.remote.reddit_loader import RedditPostsLoaderRemote +from application.parser.remote.github_loader import GitHubLoader + + +class RemoteCreator: + loaders = { + "url": WebLoader, + "sitemap": SitemapLoader, + "crawler": CrawlerLoader, + "reddit": RedditPostsLoaderRemote, + "github": GitHubLoader, + } + + @classmethod + def create_loader(cls, type, *args, **kwargs): + loader_class = cls.loaders.get(type.lower()) + if not loader_class: + raise ValueError(f"No LLM class found for type {type}") + return loader_class(*args, **kwargs) diff --git a/application/parser/remote/sitemap_loader.py b/application/parser/remote/sitemap_loader.py new file mode 100644 index 00000000..6d54ea9b --- /dev/null +++ b/application/parser/remote/sitemap_loader.py @@ -0,0 +1,82 @@ +import logging +import requests +import re # Import regular expression library +import xml.etree.ElementTree as ET +from application.parser.remote.base import BaseRemote + +class SitemapLoader(BaseRemote): + def __init__(self, limit=20): + from langchain_community.document_loaders import WebBaseLoader + self.loader = WebBaseLoader + self.limit = limit # Adding limit to control the number of URLs to process + + def load_data(self, inputs): + sitemap_url= inputs + # Check if the input is a list and if it is, use the first element + if isinstance(sitemap_url, list) and sitemap_url: + url = sitemap_url[0] + + urls = self._extract_urls(sitemap_url) + if not urls: + print(f"No URLs found in the sitemap: {sitemap_url}") + return [] + + # Load content of extracted URLs + documents = [] + processed_urls = 0 # Counter for processed URLs + for url in urls: + if self.limit is not None and processed_urls >= self.limit: + break # Stop processing if the limit is reached + + try: + loader = self.loader([url]) + documents.extend(loader.load()) + processed_urls += 1 # Increment the counter after processing each URL + except Exception as e: + logging.error(f"Error processing URL {url}: {e}", exc_info=True) + continue + + return documents + + def _extract_urls(self, sitemap_url): + try: + response = requests.get(sitemap_url) + response.raise_for_status() # Raise an exception for HTTP errors + except (requests.exceptions.HTTPError, requests.exceptions.ConnectionError) as e: + print(f"Failed to fetch sitemap: {sitemap_url}. Error: {e}") + return [] + + # Determine if this is a sitemap or a URL + if self._is_sitemap(response): + # It's a sitemap, so parse it and extract URLs + return self._parse_sitemap(response.content) + else: + # It's not a sitemap, return the URL itself + return [sitemap_url] + + def _is_sitemap(self, response): + content_type = response.headers.get('Content-Type', '') + if 'xml' in content_type or response.url.endswith('.xml'): + return True + + if ' None: + """Post init.""" + if self.text is None: + raise ValueError("text field not set.") + + @classmethod + def get_type(cls) -> str: + """Get Document type.""" + return "Document" + + def to_langchain_format(self) -> LCDocument: + """Convert struct to LangChain document format.""" + metadata = self.extra_info or {} + return LCDocument(page_content=self.text, metadata=metadata) + + @classmethod + def from_langchain_format(cls, doc: LCDocument) -> "Document": + """Convert struct from LangChain document format.""" + return cls(text=doc.page_content, extra_info=doc.metadata) diff --git a/application/parser/schema/schema.py b/application/parser/schema/schema.py new file mode 100644 index 00000000..ec467e5a --- /dev/null +++ b/application/parser/schema/schema.py @@ -0,0 +1,64 @@ +"""Base schema for data structures.""" +from abc import abstractmethod +from dataclasses import dataclass +from typing import Any, Dict, List, Optional + +from dataclasses_json import DataClassJsonMixin + + +@dataclass +class BaseDocument(DataClassJsonMixin): + """Base document. + + Generic abstract interfaces that captures both index structs + as well as documents. + + """ + + # TODO: consolidate fields from Document/IndexStruct into base class + text: Optional[str] = None + doc_id: Optional[str] = None + embedding: Optional[List[float]] = None + + # extra fields + extra_info: Optional[Dict[str, Any]] = None + + @classmethod + @abstractmethod + def get_type(cls) -> str: + """Get Document type.""" + + def get_text(self) -> str: + """Get text.""" + if self.text is None: + raise ValueError("text field not set.") + return self.text + + def get_doc_id(self) -> str: + """Get doc_id.""" + if self.doc_id is None: + raise ValueError("doc_id not set.") + return self.doc_id + + @property + def is_doc_id_none(self) -> bool: + """Check if doc_id is None.""" + return self.doc_id is None + + def get_embedding(self) -> List[float]: + """Get embedding. + + Errors if embedding is None. + + """ + if self.embedding is None: + raise ValueError("embedding not set.") + return self.embedding + + @property + def extra_info_str(self) -> Optional[str]: + """Extra info string.""" + if self.extra_info is None: + return None + + return "\n".join([f"{k}: {str(v)}" for k, v in self.extra_info.items()]) diff --git a/application/prompts/chat_combine_creative.txt b/application/prompts/chat_combine_creative.txt new file mode 100644 index 00000000..9ce1f12e --- /dev/null +++ b/application/prompts/chat_combine_creative.txt @@ -0,0 +1,15 @@ +You are a helpful AI assistant, DocsGPT. You are proactive and helpful. Try to use tools, if they are available to you, +be proactive and fill in missing information. +Users can Upload documents for your context as attachments or sources via UI using the Conversation input box. +If appropriate, your answers can include code examples, formatted as follows: +```(language) +(code) +``` +Users are also able to see charts and diagrams if you use them with valid mermaid syntax in your responses. +Try to respond with mermaid charts if visualization helps with users queries. +You effectively utilize chat history, ensuring relevant and tailored responses. +Try to use additional provided context if it's available, otherwise use your knowledge and tool capabilities. +Allow yourself to be very creative and use your imagination. +---------------- +Possible additional context from uploaded sources: +{summaries} \ No newline at end of file diff --git a/application/prompts/chat_combine_default.txt b/application/prompts/chat_combine_default.txt new file mode 100644 index 00000000..e505370f --- /dev/null +++ b/application/prompts/chat_combine_default.txt @@ -0,0 +1,14 @@ +You are a helpful AI assistant, DocsGPT. You are proactive and helpful. Try to use tools, if they are available to you, +be proactive and fill in missing information. +Users can Upload documents for your context as attachments or sources via UI using the Conversation input box. +If appropriate, your answers can include code examples, formatted as follows: +```(language) +(code) +``` +Users are also able to see charts and diagrams if you use them with valid mermaid syntax in your responses. +Try to respond with mermaid charts if visualization helps with users queries. +You effectively utilize chat history, ensuring relevant and tailored responses. +Try to use additional provided context if it's available, otherwise use your knowledge and tool capabilities. +---------------- +Possible additional context from uploaded sources: +{summaries} \ No newline at end of file diff --git a/application/prompts/chat_combine_strict.txt b/application/prompts/chat_combine_strict.txt new file mode 100644 index 00000000..6aa2ef5e --- /dev/null +++ b/application/prompts/chat_combine_strict.txt @@ -0,0 +1,17 @@ +You are a helpful AI assistant, DocsGPT. You are proactive and helpful. Try to use tools, if they are available to you, +be proactive and fill in missing information. +Users can Upload documents for your context as attachments or sources via UI using the Conversation input box. +If appropriate, your answers can include code examples, formatted as follows: +```(language) +(code) +``` +Users are also able to see charts and diagrams if you use them with valid mermaid syntax in your responses. +Try to respond with mermaid charts if visualization helps with users queries. +You effectively utilize chat history, ensuring relevant and tailored responses. +Use context provided below or use available tools tool capabilities to answer user queries. +If you dont have enough information from the context or tools, answer "I don't know" or "I don't have enough information". +Never make up information or provide false information! +Allow yourself to be very creative and use your imagination. +---------------- +Context from uploaded sources: +{summaries} \ No newline at end of file diff --git a/application/prompts/chat_reduce_prompt.txt b/application/prompts/chat_reduce_prompt.txt new file mode 100644 index 00000000..a5842d87 --- /dev/null +++ b/application/prompts/chat_reduce_prompt.txt @@ -0,0 +1,3 @@ +Use the following pieces of context to help answer the users question. If its not relevant to the question, respond with "-" +---------------- +{context} \ No newline at end of file diff --git a/application/prompts/react_final_prompt.txt b/application/prompts/react_final_prompt.txt new file mode 100644 index 00000000..50916127 --- /dev/null +++ b/application/prompts/react_final_prompt.txt @@ -0,0 +1,3 @@ +Query: {query} +Observations: {observations} +Now, using the insights from the observations, formulate a well-structured and precise final answer. \ No newline at end of file diff --git a/application/prompts/react_planning_prompt.txt b/application/prompts/react_planning_prompt.txt new file mode 100644 index 00000000..c3571845 --- /dev/null +++ b/application/prompts/react_planning_prompt.txt @@ -0,0 +1,13 @@ +You are an AI assistant and talk like you're thinking out loud. Given the following query, outline a concise thought process that includes key steps and considerations necessary for effective analysis and response. Avoid pointwise formatting. The goal is to break down the query into manageable components without excessive detail, focusing on clarity and logical progression. + +Include the following elements in your thought and execution process: +1. Identify the main objective of the query. +2. Determine any relevant context or background information needed to understand the query. +3. List potential approaches or methods to address the query. +4. Highlight any critical factors or constraints that may influence the outcome. +5. Plan with available tools to help you with the analysis but dont execute them. Tools will be executed by another AI. + +Query: {query} +Summaries: {summaries} +Prompt: {prompt} +Observations(potentially previous tool calls): {observations} diff --git a/application/requirements.txt b/application/requirements.txt new file mode 100644 index 00000000..3778d941 --- /dev/null +++ b/application/requirements.txt @@ -0,0 +1,85 @@ +anthropic==0.49.0 +boto3==1.38.18 +beautifulsoup4==4.13.4 +celery==5.4.0 +dataclasses-json==0.6.7 +docx2txt==0.8 +duckduckgo-search==7.5.2 +ebooklib==0.18 +escodegen==1.0.11 +esprima==4.0.1 +esutils==1.0.1 +Flask==3.1.1 +faiss-cpu==1.9.0.post1 +flask-restx==1.3.0 +google-genai==1.3.0 +gTTS==2.5.4 +gunicorn==23.0.0 +javalang==0.13.0 +jinja2==3.1.6 +jiter==0.8.2 +jmespath==1.0.1 +joblib==1.4.2 +jsonpatch==1.33 +jsonpointer==3.0.0 +kombu==5.4.2 +langchain==0.3.20 +langchain-community==0.3.19 +langchain-core==0.3.59 +langchain-openai==0.3.16 +langchain-text-splitters==0.3.8 +langsmith==0.3.42 +lazy-object-proxy==1.10.0 +lxml==5.3.1 +markupsafe==3.0.2 +marshmallow==3.26.1 +mpmath==1.3.0 +multidict==6.4.3 +mypy-extensions==1.0.0 +networkx==3.4.2 +numpy==2.2.1 +openai==1.78.1 +openapi3-parser==1.1.21 +orjson==3.10.14 +packaging==24.2 +pandas==2.2.3 +openpyxl==3.1.5 +pathable==0.4.4 +pillow==11.1.0 +portalocker>=2.7.0,<3.0.0 +prance==23.6.21.0 +prompt-toolkit==3.0.51 +protobuf==5.29.3 +psycopg2-binary==2.9.10 +py==1.11.0 +pydantic==2.10.6 +pydantic-core==2.27.2 +pydantic-settings==2.7.1 +pymongo==4.11.3 +pypdf==5.5.0 +python-dateutil==2.9.0.post0 +python-dotenv==1.0.1 +python-jose==3.4.0 +python-pptx==1.0.2 +redis==5.2.1 +referencing>=0.28.0,<0.31.0 +regex==2024.11.6 +requests==2.32.3 +retry==0.9.2 +sentence-transformers==3.3.1 +tiktoken==0.8.0 +tokenizers==0.21.0 +torch==2.7.0 +tqdm==4.67.1 +transformers==4.51.3 +typing-extensions==4.12.2 +typing-inspect==0.9.0 +tzdata==2024.2 +urllib3==2.3.0 +vine==5.1.0 +wcwidth==0.2.13 +werkzeug==3.1.3 +yarl==1.20.0 +markdownify==1.1.0 +tldextract==5.1.3 +websockets==14.1 diff --git a/application/retriever/__init__.py b/application/retriever/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/retriever/base.py b/application/retriever/base.py new file mode 100644 index 00000000..fd99dbdd --- /dev/null +++ b/application/retriever/base.py @@ -0,0 +1,18 @@ +from abc import ABC, abstractmethod + + +class BaseRetriever(ABC): + def __init__(self): + pass + + @abstractmethod + def gen(self, *args, **kwargs): + pass + + @abstractmethod + def search(self, *args, **kwargs): + pass + + @abstractmethod + def get_params(self): + pass diff --git a/application/retriever/brave_search.py b/application/retriever/brave_search.py new file mode 100644 index 00000000..123000e4 --- /dev/null +++ b/application/retriever/brave_search.py @@ -0,0 +1,112 @@ +import json + +from langchain_community.tools import BraveSearch + +from application.core.settings import settings +from application.llm.llm_creator import LLMCreator +from application.retriever.base import BaseRetriever + + +class BraveRetSearch(BaseRetriever): + + def __init__( + self, + source, + chat_history, + prompt, + chunks=2, + token_limit=150, + gpt_model="docsgpt", + user_api_key=None, + decoded_token=None, + ): + self.question = "" + self.source = source + self.chat_history = chat_history + self.prompt = prompt + self.chunks = chunks + self.gpt_model = gpt_model + self.token_limit = ( + token_limit + if token_limit + < settings.LLM_TOKEN_LIMITS.get( + self.gpt_model, settings.DEFAULT_MAX_HISTORY + ) + else settings.LLM_TOKEN_LIMITS.get( + self.gpt_model, settings.DEFAULT_MAX_HISTORY + ) + ) + self.user_api_key = user_api_key + self.decoded_token = decoded_token + + def _get_data(self): + if self.chunks == 0: + docs = [] + else: + search = BraveSearch.from_api_key( + api_key=settings.BRAVE_SEARCH_API_KEY, + search_kwargs={"count": int(self.chunks)}, + ) + results = search.run(self.question) + results = json.loads(results) + + docs = [] + for i in results: + try: + title = i["title"] + link = i["link"] + snippet = i["snippet"] + docs.append({"text": snippet, "title": title, "link": link}) + except IndexError: + pass + if settings.LLM_PROVIDER == "llama.cpp": + docs = [docs[0]] + + return docs + + def gen(self): + docs = self._get_data() + + # join all page_content together with a newline + docs_together = "\n".join([doc["text"] for doc in docs]) + p_chat_combine = self.prompt.replace("{summaries}", docs_together) + messages_combine = [{"role": "system", "content": p_chat_combine}] + for doc in docs: + yield {"source": doc} + + if len(self.chat_history) > 0: + for i in self.chat_history: + if "prompt" in i and "response" in i: + messages_combine.append({"role": "user", "content": i["prompt"]}) + messages_combine.append( + {"role": "assistant", "content": i["response"]} + ) + messages_combine.append({"role": "user", "content": self.question}) + + llm = LLMCreator.create_llm( + settings.LLM_PROVIDER, + api_key=settings.API_KEY, + user_api_key=self.user_api_key, + decoded_token=self.decoded_token, + ) + + completion = llm.gen_stream(model=self.gpt_model, messages=messages_combine) + for line in completion: + yield {"answer": str(line)} + + def search(self, query: str = ""): + if query: + self.question = query + return self._get_data() + + def get_params(self): + return { + "question": self.question, + "source": self.source, + "chat_history": self.chat_history, + "prompt": self.prompt, + "chunks": self.chunks, + "token_limit": self.token_limit, + "gpt_model": self.gpt_model, + "user_api_key": self.user_api_key, + } diff --git a/application/retriever/classic_rag.py b/application/retriever/classic_rag.py new file mode 100644 index 00000000..9416b4f7 --- /dev/null +++ b/application/retriever/classic_rag.py @@ -0,0 +1,124 @@ +import logging +from application.core.settings import settings +from application.llm.llm_creator import LLMCreator +from application.retriever.base import BaseRetriever + +from application.vectorstore.vector_creator import VectorCreator + + +class ClassicRAG(BaseRetriever): + def __init__( + self, + source, + chat_history=None, + prompt="", + chunks=2, + token_limit=150, + gpt_model="docsgpt", + user_api_key=None, + llm_name=settings.LLM_PROVIDER, + api_key=settings.API_KEY, + decoded_token=None, + ): + self.original_question = "" + self.chat_history = chat_history if chat_history is not None else [] + self.prompt = prompt + self.chunks = chunks + self.gpt_model = gpt_model + self.token_limit = ( + token_limit + if token_limit + < settings.LLM_TOKEN_LIMITS.get( + self.gpt_model, settings.DEFAULT_MAX_HISTORY + ) + else settings.LLM_TOKEN_LIMITS.get( + self.gpt_model, settings.DEFAULT_MAX_HISTORY + ) + ) + self.user_api_key = user_api_key + self.llm_name = llm_name + self.api_key = api_key + self.llm = LLMCreator.create_llm( + self.llm_name, + api_key=self.api_key, + user_api_key=self.user_api_key, + decoded_token=decoded_token, + ) + self.vectorstore = source["active_docs"] if "active_docs" in source else None + self.question = self._rephrase_query() + self.decoded_token = decoded_token + + def _rephrase_query(self): + if ( + not self.original_question + or not self.chat_history + or self.chat_history == [] + or self.chunks == 0 + or self.vectorstore is None + ): + return self.original_question + + prompt = f"""Given the following conversation history: + {self.chat_history} + + Rephrase the following user question to be a standalone search query + that captures all relevant context from the conversation: + """ + + messages = [ + {"role": "system", "content": prompt}, + {"role": "user", "content": self.original_question}, + ] + + try: + rephrased_query = self.llm.gen(model=self.gpt_model, messages=messages) + print(f"Rephrased query: {rephrased_query}") + return rephrased_query if rephrased_query else self.original_question + except Exception as e: + logging.error(f"Error rephrasing query: {e}", exc_info=True) + return self.original_question + + def _get_data(self): + if self.chunks == 0 or self.vectorstore is None: + docs = [] + else: + docsearch = VectorCreator.create_vectorstore( + settings.VECTOR_STORE, self.vectorstore, settings.EMBEDDINGS_KEY + ) + docs_temp = docsearch.search(self.question, k=self.chunks) + docs = [ + { + "title": i.metadata.get( + "title", i.metadata.get("post_title", i.page_content) + ).split("/")[-1], + "text": i.page_content, + "source": ( + i.metadata.get("source") + if i.metadata.get("source") + else "local" + ), + } + for i in docs_temp + ] + + return docs + + def gen(): + pass + + def search(self, query: str = ""): + if query: + self.original_question = query + self.question = self._rephrase_query() + return self._get_data() + + def get_params(self): + return { + "question": self.original_question, + "rephrased_question": self.question, + "source": self.vectorstore, + "chunks": self.chunks, + "token_limit": self.token_limit, + "gpt_model": self.gpt_model, + "user_api_key": self.user_api_key, + } diff --git a/application/retriever/duckduck_search.py b/application/retriever/duckduck_search.py new file mode 100644 index 00000000..5abe5edd --- /dev/null +++ b/application/retriever/duckduck_search.py @@ -0,0 +1,111 @@ +from langchain_community.tools import DuckDuckGoSearchResults +from langchain_community.utilities import DuckDuckGoSearchAPIWrapper + +from application.core.settings import settings +from application.llm.llm_creator import LLMCreator +from application.retriever.base import BaseRetriever + + +class DuckDuckSearch(BaseRetriever): + + def __init__( + self, + source, + chat_history, + prompt, + chunks=2, + token_limit=150, + gpt_model="docsgpt", + user_api_key=None, + decoded_token=None, + ): + self.question = "" + self.source = source + self.chat_history = chat_history + self.prompt = prompt + self.chunks = chunks + self.gpt_model = gpt_model + self.token_limit = ( + token_limit + if token_limit + < settings.LLM_TOKEN_LIMITS.get( + self.gpt_model, settings.DEFAULT_MAX_HISTORY + ) + else settings.LLM_TOKEN_LIMITS.get( + self.gpt_model, settings.DEFAULT_MAX_HISTORY + ) + ) + self.user_api_key = user_api_key + self.decoded_token = decoded_token + + def _get_data(self): + if self.chunks == 0: + docs = [] + else: + wrapper = DuckDuckGoSearchAPIWrapper(max_results=self.chunks) + search = DuckDuckGoSearchResults(api_wrapper=wrapper, output_format="list") + results = search.run(self.question) + + docs = [] + for i in results: + try: + docs.append( + { + "text": i.get("snippet", "").strip(), + "title": i.get("title", "").strip(), + "link": i.get("link", "").strip(), + } + ) + except IndexError: + pass + if settings.LLM_PROVIDER == "llama.cpp": + docs = [docs[0]] + + return docs + + def gen(self): + docs = self._get_data() + + # join all page_content together with a newline + docs_together = "\n".join([doc["text"] for doc in docs]) + p_chat_combine = self.prompt.replace("{summaries}", docs_together) + messages_combine = [{"role": "system", "content": p_chat_combine}] + for doc in docs: + yield {"source": doc} + + if len(self.chat_history) > 0: + for i in self.chat_history: + if "prompt" in i and "response" in i: + messages_combine.append({"role": "user", "content": i["prompt"]}) + messages_combine.append( + {"role": "assistant", "content": i["response"]} + ) + messages_combine.append({"role": "user", "content": self.question}) + + llm = LLMCreator.create_llm( + settings.LLM_PROVIDER, + api_key=settings.API_KEY, + user_api_key=self.user_api_key, + decoded_token=self.decoded_token, + ) + + completion = llm.gen_stream(model=self.gpt_model, messages=messages_combine) + for line in completion: + yield {"answer": str(line)} + + def search(self, query: str = ""): + if query: + self.question = query + return self._get_data() + + def get_params(self): + return { + "question": self.question, + "source": self.source, + "chat_history": self.chat_history, + "prompt": self.prompt, + "chunks": self.chunks, + "token_limit": self.token_limit, + "gpt_model": self.gpt_model, + "user_api_key": self.user_api_key, + } diff --git a/application/retriever/retriever_creator.py b/application/retriever/retriever_creator.py new file mode 100644 index 00000000..26cb41ca --- /dev/null +++ b/application/retriever/retriever_creator.py @@ -0,0 +1,20 @@ +from application.retriever.classic_rag import ClassicRAG +from application.retriever.duckduck_search import DuckDuckSearch +from application.retriever.brave_search import BraveRetSearch + + +class RetrieverCreator: + retrievers = { + "classic": ClassicRAG, + "duckduck_search": DuckDuckSearch, + "brave_search": BraveRetSearch, + "default": ClassicRAG, + } + + @classmethod + def create_retriever(cls, type, *args, **kwargs): + retriever_type = (type or "default").lower() + retiever_class = cls.retrievers.get(retriever_type) + if not retiever_class: + raise ValueError(f"No retievers class found for type {type}") + return retiever_class(*args, **kwargs) diff --git a/application/storage/base.py b/application/storage/base.py new file mode 100644 index 00000000..273e7761 --- /dev/null +++ b/application/storage/base.py @@ -0,0 +1,94 @@ +"""Base storage class for file system abstraction.""" +from abc import ABC, abstractmethod +from typing import BinaryIO, List, Callable + + +class BaseStorage(ABC): + """Abstract base class for storage implementations.""" + + @abstractmethod + def save_file(self, file_data: BinaryIO, path: str) -> dict: + """ + Save a file to storage. + + Args: + file_data: File-like object containing the data + path: Path where the file should be stored + + Returns: + dict: A dictionary containing metadata about the saved file, including: + - 'path': The path where the file was saved + - 'storage_type': The type of storage (e.g., 'local', 's3') + - Other storage-specific metadata (e.g., 'uri', 'bucket_name', etc.) + """ + pass + + @abstractmethod + def get_file(self, path: str) -> BinaryIO: + """ + Retrieve a file from storage. + + Args: + path: Path to the file + + Returns: + BinaryIO: File-like object containing the file data + """ + pass + + @abstractmethod + def process_file(self, path: str, processor_func: Callable, **kwargs): + """ + Process a file using the provided processor function. + + This method handles the details of retrieving the file and providing + it to the processor function in an appropriate way based on the storage type. + + Args: + path: Path to the file + processor_func: Function that processes the file + **kwargs: Additional arguments to pass to the processor function + + Returns: + The result of the processor function + """ + pass + + @abstractmethod + def delete_file(self, path: str) -> bool: + """ + Delete a file from storage. + + Args: + path: Path to the file + + Returns: + bool: True if deletion was successful + """ + pass + + @abstractmethod + def file_exists(self, path: str) -> bool: + """ + Check if a file exists. + + Args: + path: Path to the file + + Returns: + bool: True if the file exists + """ + pass + + @abstractmethod + def list_files(self, directory: str) -> List[str]: + """ + List all files in a directory. + + Args: + directory: Directory path to list + + Returns: + List[str]: List of file paths + """ + pass diff --git a/application/storage/local.py b/application/storage/local.py new file mode 100644 index 00000000..fb21f08d --- /dev/null +++ b/application/storage/local.py @@ -0,0 +1,103 @@ +"""Local file system implementation.""" +import os +import shutil +from typing import BinaryIO, List, Callable + +from application.storage.base import BaseStorage + + +class LocalStorage(BaseStorage): + """Local file system storage implementation.""" + + def __init__(self, base_dir: str = None): + """ + Initialize local storage. + + Args: + base_dir: Base directory for all operations. If None, uses current directory. + """ + self.base_dir = base_dir or os.path.dirname( + os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + ) + + def _get_full_path(self, path: str) -> str: + """Get absolute path by combining base_dir and path.""" + if os.path.isabs(path): + return path + return os.path.join(self.base_dir, path) + + def save_file(self, file_data: BinaryIO, path: str) -> dict: + """Save a file to local storage.""" + full_path = self._get_full_path(path) + + os.makedirs(os.path.dirname(full_path), exist_ok=True) + + if hasattr(file_data, 'save'): + file_data.save(full_path) + else: + with open(full_path, 'wb') as f: + shutil.copyfileobj(file_data, f) + + return { + 'storage_type': 'local' + } + + def get_file(self, path: str) -> BinaryIO: + """Get a file from local storage.""" + full_path = self._get_full_path(path) + + if not os.path.exists(full_path): + raise FileNotFoundError(f"File not found: {full_path}") + + return open(full_path, 'rb') + + def delete_file(self, path: str) -> bool: + """Delete a file from local storage.""" + full_path = self._get_full_path(path) + + if not os.path.exists(full_path): + return False + + os.remove(full_path) + return True + + def file_exists(self, path: str) -> bool: + """Check if a file exists in local storage.""" + full_path = self._get_full_path(path) + return os.path.exists(full_path) + + def list_files(self, directory: str) -> List[str]: + """List all files in a directory in local storage.""" + full_path = self._get_full_path(directory) + + if not os.path.exists(full_path): + return [] + + result = [] + for root, _, files in os.walk(full_path): + for file in files: + rel_path = os.path.relpath(os.path.join(root, file), self.base_dir) + result.append(rel_path) + + return result + + def process_file(self, path: str, processor_func: Callable, **kwargs): + """ + Process a file using the provided processor function. + + For local storage, we can directly pass the full path to the processor. + + Args: + path: Path to the file + processor_func: Function that processes the file + **kwargs: Additional arguments to pass to the processor function + + Returns: + The result of the processor function + """ + full_path = self._get_full_path(path) + + if not os.path.exists(full_path): + raise FileNotFoundError(f"File not found: {full_path}") + + return processor_func(local_path=full_path, **kwargs) diff --git a/application/storage/s3.py b/application/storage/s3.py new file mode 100644 index 00000000..7a52dd1c --- /dev/null +++ b/application/storage/s3.py @@ -0,0 +1,124 @@ +"""S3 storage implementation.""" + +import io +import os +from typing import BinaryIO, Callable, List + +import boto3 +from application.core.settings import settings + +from application.storage.base import BaseStorage +from botocore.exceptions import ClientError + + +class S3Storage(BaseStorage): + """AWS S3 storage implementation.""" + + def __init__(self, bucket_name=None): + """ + Initialize S3 storage. + + Args: + bucket_name: S3 bucket name (optional, defaults to settings) + """ + self.bucket_name = bucket_name or getattr( + settings, "S3_BUCKET_NAME", "docsgpt-test-bucket" + ) + + # Get credentials from settings + + aws_access_key_id = getattr(settings, "SAGEMAKER_ACCESS_KEY", None) + aws_secret_access_key = getattr(settings, "SAGEMAKER_SECRET_KEY", None) + region_name = getattr(settings, "SAGEMAKER_REGION", None) + + self.s3 = boto3.client( + "s3", + aws_access_key_id=aws_access_key_id, + aws_secret_access_key=aws_secret_access_key, + region_name=region_name, + ) + + def save_file(self, file_data: BinaryIO, path: str) -> dict: + """Save a file to S3 storage.""" + self.s3.upload_fileobj(file_data, self.bucket_name, path) + + region = getattr(settings, "SAGEMAKER_REGION", None) + + return { + "storage_type": "s3", + "bucket_name": self.bucket_name, + "uri": f"s3://{self.bucket_name}/{path}", + "region": region, + } + + def get_file(self, path: str) -> BinaryIO: + """Get a file from S3 storage.""" + if not self.file_exists(path): + raise FileNotFoundError(f"File not found: {path}") + file_obj = io.BytesIO() + self.s3.download_fileobj(self.bucket_name, path, file_obj) + file_obj.seek(0) + return file_obj + + def delete_file(self, path: str) -> bool: + """Delete a file from S3 storage.""" + try: + self.s3.delete_object(Bucket=self.bucket_name, Key=path) + return True + except ClientError: + return False + + def file_exists(self, path: str) -> bool: + """Check if a file exists in S3 storage.""" + try: + self.s3.head_object(Bucket=self.bucket_name, Key=path) + return True + except ClientError: + return False + + def list_files(self, directory: str) -> List[str]: + """List all files in a directory in S3 storage.""" + # Ensure directory ends with a slash if it's not empty + + if directory and not directory.endswith("/"): + directory += "/" + result = [] + paginator = self.s3.get_paginator("list_objects_v2") + pages = paginator.paginate(Bucket=self.bucket_name, Prefix=directory) + + for page in pages: + if "Contents" in page: + for obj in page["Contents"]: + result.append(obj["Key"]) + return result + + def process_file(self, path: str, processor_func: Callable, **kwargs): + """ + Process a file using the provided processor function. + + Args: + path: Path to the file + processor_func: Function that processes the file + **kwargs: Additional arguments to pass to the processor function + + Returns: + The result of the processor function + """ + import logging + import tempfile + + if not self.file_exists(path): + raise FileNotFoundError(f"File not found in S3: {path}") + with tempfile.NamedTemporaryFile( + suffix=os.path.splitext(path)[1], delete=True + ) as temp_file: + try: + # Download the file from S3 to the temporary file + + self.s3.download_fileobj(self.bucket_name, path, temp_file) + temp_file.flush() + + return processor_func(local_path=temp_file.name, **kwargs) + except Exception as e: + logging.error(f"Error processing S3 file {path}: {e}", exc_info=True) + raise diff --git a/application/storage/storage_creator.py b/application/storage/storage_creator.py new file mode 100644 index 00000000..3eca2f47 --- /dev/null +++ b/application/storage/storage_creator.py @@ -0,0 +1,32 @@ +"""Storage factory for creating different storage implementations.""" +from typing import Dict, Type + +from application.storage.base import BaseStorage +from application.storage.local import LocalStorage +from application.storage.s3 import S3Storage +from application.core.settings import settings + + +class StorageCreator: + storages: Dict[str, Type[BaseStorage]] = { + "local": LocalStorage, + "s3": S3Storage, + } + + _instance = None + + @classmethod + def get_storage(cls) -> BaseStorage: + if cls._instance is None: + storage_type = getattr(settings, "STORAGE_TYPE", "local") + cls._instance = cls.create_storage(storage_type) + + return cls._instance + + @classmethod + def create_storage(cls, type_name: str, *args, **kwargs) -> BaseStorage: + storage_class = cls.storages.get(type_name.lower()) + if not storage_class: + raise ValueError(f"No storage implementation found for type {type_name}") + + return storage_class(*args, **kwargs) diff --git a/application/tts/base.py b/application/tts/base.py new file mode 100644 index 00000000..143bed73 --- /dev/null +++ b/application/tts/base.py @@ -0,0 +1,10 @@ +from abc import ABC, abstractmethod + + +class BaseTTS(ABC): + def __init__(self): + pass + + @abstractmethod + def text_to_speech(self, *args, **kwargs): + pass \ No newline at end of file diff --git a/application/tts/elevenlabs.py b/application/tts/elevenlabs.py new file mode 100644 index 00000000..2e8159b8 --- /dev/null +++ b/application/tts/elevenlabs.py @@ -0,0 +1,84 @@ +import asyncio +import websockets +import json +import base64 +from io import BytesIO +from application.tts.base import BaseTTS + + +class ElevenlabsTTS(BaseTTS): + def __init__(self): + self.api_key = 'ELEVENLABS_API_KEY'# here you should put your api key + self.model = "eleven_flash_v2_5" + self.voice = "VOICE_ID" # this is the hash code for the voice not the name! + self.write_audio = 1 + + def text_to_speech(self, text): + asyncio.run(self._text_to_speech_websocket(text)) + + async def _text_to_speech_websocket(self, text): + uri = f"wss://api.elevenlabs.io/v1/text-to-speech/{self.voice}/stream-input?model_id={self.model}" + websocket = await websockets.connect(uri) + payload = { + "text": " ", + "voice_settings": { + "stability": 0.5, + "similarity_boost": 0.8, + }, + "xi_api_key": self.api_key, + } + + await websocket.send(json.dumps(payload)) + + async def listen(): + while 1: + try: + msg = await websocket.recv() + data = json.loads(msg) + + if data.get("audio"): + print("audio received") + yield base64.b64decode(data["audio"]) + elif data.get("isFinal"): + break + except websockets.exceptions.ConnectionClosed: + print("websocket closed") + break + listen_task = asyncio.create_task(self.stream(listen())) + + await websocket.send(json.dumps({"text": text})) + # this is to signal the end of the text, either use this or flush + await websocket.send(json.dumps({"text": ""})) + + await listen_task + + async def stream(self, audio_stream): + if self.write_audio: + audio_bytes = BytesIO() + async for chunk in audio_stream: + if chunk: + audio_bytes.write(chunk) + with open("output_audio.mp3", "wb") as f: + f.write(audio_bytes.getvalue()) + + else: + async for chunk in audio_stream: + pass # depends on the streamer! + + +def test_elevenlabs_websocket(): + """ + Tests the ElevenlabsTTS text_to_speech method with a sample prompt. + Prints out the base64-encoded result and writes it to 'output_audio.mp3'. + """ + # Instantiate your TTS class + tts = ElevenlabsTTS() + + # Call the method with some sample text + tts.text_to_speech("Hello from ElevenLabs WebSocket!") + + print("Saved audio to output_audio.mp3.") + + +if __name__ == "__main__": + test_elevenlabs_websocket() diff --git a/application/tts/google_tts.py b/application/tts/google_tts.py new file mode 100644 index 00000000..ee70161e --- /dev/null +++ b/application/tts/google_tts.py @@ -0,0 +1,19 @@ +import io +import base64 +from gtts import gTTS +from application.tts.base import BaseTTS + + +class GoogleTTS(BaseTTS): + def __init__(self): + pass + + + def text_to_speech(self, text): + lang = "en" + audio_fp = io.BytesIO() + tts = gTTS(text=text, lang=lang, slow=False) + tts.write_to_fp(audio_fp) + audio_fp.seek(0) + audio_base64 = base64.b64encode(audio_fp.read()).decode("utf-8") + return audio_base64, lang diff --git a/application/usage.py b/application/usage.py new file mode 100644 index 00000000..46620fff --- /dev/null +++ b/application/usage.py @@ -0,0 +1,65 @@ +import sys +from datetime import datetime + +from application.core.mongo_db import MongoDB +from application.core.settings import settings +from application.utils import num_tokens_from_object_or_list, num_tokens_from_string + +mongo = MongoDB.get_client() +db = mongo[settings.MONGO_DB_NAME] +usage_collection = db["token_usage"] + + +def update_token_usage(decoded_token, user_api_key, token_usage): + if "pytest" in sys.modules: + return + if decoded_token: + user_id = decoded_token["sub"] + else: + user_id = None + usage_data = { + "user_id": user_id, + "api_key": user_api_key, + "prompt_tokens": token_usage["prompt_tokens"], + "generated_tokens": token_usage["generated_tokens"], + "timestamp": datetime.now(), + } + usage_collection.insert_one(usage_data) + + +def gen_token_usage(func): + def wrapper(self, model, messages, stream, tools, **kwargs): + for message in messages: + if message["content"]: + self.token_usage["prompt_tokens"] += num_tokens_from_string( + message["content"] + ) + result = func(self, model, messages, stream, tools, **kwargs) + if isinstance(result, str): + self.token_usage["generated_tokens"] += num_tokens_from_string(result) + else: + self.token_usage["generated_tokens"] += num_tokens_from_object_or_list( + result + ) + update_token_usage(self.decoded_token, self.user_api_key, self.token_usage) + return result + + return wrapper + + +def stream_token_usage(func): + def wrapper(self, model, messages, stream, tools, **kwargs): + for message in messages: + self.token_usage["prompt_tokens"] += num_tokens_from_string( + message["content"] + ) + batch = [] + result = func(self, model, messages, stream, tools, **kwargs) + for r in result: + batch.append(r) + yield r + for line in batch: + self.token_usage["generated_tokens"] += num_tokens_from_string(line) + update_token_usage(self.decoded_token, self.user_api_key, self.token_usage) + + return wrapper diff --git a/application/utils.py b/application/utils.py new file mode 100644 index 00000000..5937179d --- /dev/null +++ b/application/utils.py @@ -0,0 +1,151 @@ +import hashlib +import os +import re +import uuid + +import tiktoken +from flask import jsonify, make_response +from werkzeug.utils import secure_filename +from application.core.settings import settings + + +_encoding = None + + +def get_encoding(): + global _encoding + if _encoding is None: + _encoding = tiktoken.get_encoding("cl100k_base") + return _encoding + + +def safe_filename(filename): + """ + Creates a safe filename that preserves the original extension. + Uses secure_filename, but ensures a proper filename is returned even with non-Latin characters. + + Args: + filename (str): The original filename + + Returns: + str: A safe filename that can be used for storage + """ + if not filename: + return str(uuid.uuid4()) + + _, extension = os.path.splitext(filename) + + safe_name = secure_filename(filename) + + # If secure_filename returns just the extension or an empty string + if not safe_name or safe_name == extension.lstrip("."): + return f"{str(uuid.uuid4())}{extension}" + + return safe_name + + +def num_tokens_from_string(string: str) -> int: + encoding = get_encoding() + if isinstance(string, str): + num_tokens = len(encoding.encode(string)) + return num_tokens + else: + return 0 + + +def num_tokens_from_object_or_list(thing): + if isinstance(thing, list): + return sum([num_tokens_from_object_or_list(x) for x in thing]) + elif isinstance(thing, dict): + return sum([num_tokens_from_object_or_list(x) for x in thing.values()]) + elif isinstance(thing, str): + return num_tokens_from_string(thing) + else: + return 0 + + +def count_tokens_docs(docs): + docs_content = "" + for doc in docs: + docs_content += doc.page_content + + tokens = num_tokens_from_string(docs_content) + return tokens + + +def check_required_fields(data, required_fields): + missing_fields = [field for field in required_fields if field not in data] + if missing_fields: + return make_response( + jsonify( + { + "success": False, + "message": f"Missing fields: {', '.join(missing_fields)}", + } + ), + 400, + ) + return None + + +def get_hash(data): + return hashlib.md5(data.encode(), usedforsecurity=False).hexdigest() + + +def limit_chat_history(history, max_token_limit=None, gpt_model="docsgpt"): + """ + Limits chat history based on token count. + Returns a list of messages that fit within the token limit. + """ + from application.core.settings import settings + + max_token_limit = ( + max_token_limit + if max_token_limit + and max_token_limit + < settings.LLM_TOKEN_LIMITS.get(gpt_model, settings.DEFAULT_MAX_HISTORY) + else settings.LLM_TOKEN_LIMITS.get(gpt_model, settings.DEFAULT_MAX_HISTORY) + ) + + if not history: + return [] + + trimmed_history = [] + tokens_current_history = 0 + + for message in reversed(history): + tokens_batch = 0 + if "prompt" in message and "response" in message: + tokens_batch += num_tokens_from_string(message["prompt"]) + tokens_batch += num_tokens_from_string(message["response"]) + + if "tool_calls" in message: + for tool_call in message["tool_calls"]: + tool_call_string = f"Tool: {tool_call.get('tool_name')} | Action: {tool_call.get('action_name')} | Args: {tool_call.get('arguments')} | Response: {tool_call.get('result')}" + tokens_batch += num_tokens_from_string(tool_call_string) + + if tokens_current_history + tokens_batch < max_token_limit: + tokens_current_history += tokens_batch + trimmed_history.insert(0, message) + else: + break + + return trimmed_history + + +def validate_function_name(function_name): + """Validates if a function name matches the allowed pattern.""" + if not re.match(r"^[a-zA-Z0-9_-]+$", function_name): + return False + return True + + +def generate_image_url(image_path): + strategy = getattr(settings, "URL_STRATEGY", "backend") + if strategy == "s3": + bucket_name = getattr(settings, "S3_BUCKET_NAME", "docsgpt-test-bucket") + region_name = getattr(settings, "SAGEMAKER_REGION", "eu-central-1") + return f"https://{bucket_name}.s3.{region_name}.amazonaws.com/{image_path}" + else: + base_url = getattr(settings, "API_URL", "http://localhost:7091") + return f"{base_url}/api/images/{image_path}" diff --git a/application/vectorstore/__init__.py b/application/vectorstore/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/application/vectorstore/base.py b/application/vectorstore/base.py new file mode 100644 index 00000000..a6b206c9 --- /dev/null +++ b/application/vectorstore/base.py @@ -0,0 +1,90 @@ +from abc import ABC, abstractmethod +import os +from sentence_transformers import SentenceTransformer +from langchain_openai import OpenAIEmbeddings +from application.core.settings import settings + +class EmbeddingsWrapper: + def __init__(self, model_name, *args, **kwargs): + self.model = SentenceTransformer(model_name, config_kwargs={'allow_dangerous_deserialization': True}, *args, **kwargs) + self.dimension = self.model.get_sentence_embedding_dimension() + + def embed_query(self, query: str): + return self.model.encode(query).tolist() + + def embed_documents(self, documents: list): + return self.model.encode(documents).tolist() + + def __call__(self, text): + if isinstance(text, str): + return self.embed_query(text) + elif isinstance(text, list): + return self.embed_documents(text) + else: + raise ValueError("Input must be a string or a list of strings") + + + +class EmbeddingsSingleton: + _instances = {} + + @staticmethod + def get_instance(embeddings_name, *args, **kwargs): + if embeddings_name not in EmbeddingsSingleton._instances: + EmbeddingsSingleton._instances[embeddings_name] = EmbeddingsSingleton._create_instance( + embeddings_name, *args, **kwargs + ) + return EmbeddingsSingleton._instances[embeddings_name] + + @staticmethod + def _create_instance(embeddings_name, *args, **kwargs): + embeddings_factory = { + "openai_text-embedding-ada-002": OpenAIEmbeddings, + "huggingface_sentence-transformers/all-mpnet-base-v2": lambda: EmbeddingsWrapper("sentence-transformers/all-mpnet-base-v2"), + "huggingface_sentence-transformers-all-mpnet-base-v2": lambda: EmbeddingsWrapper("sentence-transformers/all-mpnet-base-v2"), + "huggingface_hkunlp/instructor-large": lambda: EmbeddingsWrapper("hkunlp/instructor-large"), + } + + if embeddings_name in embeddings_factory: + return embeddings_factory[embeddings_name](*args, **kwargs) + else: + return EmbeddingsWrapper(embeddings_name, *args, **kwargs) + +class BaseVectorStore(ABC): + def __init__(self): + pass + + @abstractmethod + def search(self, *args, **kwargs): + pass + + def is_azure_configured(self): + return settings.OPENAI_API_BASE and settings.OPENAI_API_VERSION and settings.AZURE_DEPLOYMENT_NAME + + def _get_embeddings(self, embeddings_name, embeddings_key=None): + if embeddings_name == "openai_text-embedding-ada-002": + if self.is_azure_configured(): + os.environ["OPENAI_API_TYPE"] = "azure" + embedding_instance = EmbeddingsSingleton.get_instance( + embeddings_name, + model=settings.AZURE_EMBEDDINGS_DEPLOYMENT_NAME + ) + else: + embedding_instance = EmbeddingsSingleton.get_instance( + embeddings_name, + openai_api_key=embeddings_key + ) + elif embeddings_name == "huggingface_sentence-transformers/all-mpnet-base-v2": + if os.path.exists("./models/all-mpnet-base-v2"): + embedding_instance = EmbeddingsSingleton.get_instance( + embeddings_name = "./models/all-mpnet-base-v2", + ) + else: + embedding_instance = EmbeddingsSingleton.get_instance( + embeddings_name, + ) + else: + embedding_instance = EmbeddingsSingleton.get_instance(embeddings_name) + + return embedding_instance + diff --git a/application/vectorstore/document_class.py b/application/vectorstore/document_class.py new file mode 100644 index 00000000..30d70a56 --- /dev/null +++ b/application/vectorstore/document_class.py @@ -0,0 +1,8 @@ +class Document(str): + """Class for storing a piece of text and associated metadata.""" + + def __new__(cls, page_content: str, metadata: dict): + instance = super().__new__(cls, page_content) + instance.page_content = page_content + instance.metadata = metadata + return instance diff --git a/application/vectorstore/elasticsearch.py b/application/vectorstore/elasticsearch.py new file mode 100644 index 00000000..dfa0314f --- /dev/null +++ b/application/vectorstore/elasticsearch.py @@ -0,0 +1,207 @@ +from application.vectorstore.base import BaseVectorStore +from application.core.settings import settings +from application.vectorstore.document_class import Document + + +class ElasticsearchStore(BaseVectorStore): + _es_connection = None # Class attribute to hold the Elasticsearch connection + + def __init__(self, source_id, embeddings_key, index_name=settings.ELASTIC_INDEX): + super().__init__() + self.source_id = source_id.replace("application/indexes/", "").rstrip("/") + self.embeddings_key = embeddings_key + self.index_name = index_name + + if ElasticsearchStore._es_connection is None: + connection_params = {} + if settings.ELASTIC_URL: + connection_params["hosts"] = [settings.ELASTIC_URL] + connection_params["http_auth"] = (settings.ELASTIC_USERNAME, settings.ELASTIC_PASSWORD) + elif settings.ELASTIC_CLOUD_ID: + connection_params["cloud_id"] = settings.ELASTIC_CLOUD_ID + connection_params["basic_auth"] = (settings.ELASTIC_USERNAME, settings.ELASTIC_PASSWORD) + else: + raise ValueError("Please provide either elasticsearch_url or cloud_id.") + + import elasticsearch + ElasticsearchStore._es_connection = elasticsearch.Elasticsearch(**connection_params) + + self.docsearch = ElasticsearchStore._es_connection + + def connect_to_elasticsearch( + *, + es_url = None, + cloud_id = None, + api_key = None, + username = None, + password = None, + ): + try: + import elasticsearch + except ImportError: + raise ImportError( + "Could not import elasticsearch python package. " + "Please install it with `pip install elasticsearch`." + ) + + if es_url and cloud_id: + raise ValueError( + "Both es_url and cloud_id are defined. Please provide only one." + ) + + connection_params = {} + + if es_url: + connection_params["hosts"] = [es_url] + elif cloud_id: + connection_params["cloud_id"] = cloud_id + else: + raise ValueError("Please provide either elasticsearch_url or cloud_id.") + + if api_key: + connection_params["api_key"] = api_key + elif username and password: + connection_params["basic_auth"] = (username, password) + + es_client = elasticsearch.Elasticsearch( + **connection_params, + ) + try: + es_client.info() + except Exception as e: + raise e + + return es_client + + def search(self, question, k=2, index_name=settings.ELASTIC_INDEX, *args, **kwargs): + embeddings = self._get_embeddings(settings.EMBEDDINGS_NAME, self.embeddings_key) + vector = embeddings.embed_query(question) + knn = { + "filter": [{"match": {"metadata.source_id.keyword": self.source_id}}], + "field": "vector", + "k": k, + "num_candidates": 100, + "query_vector": vector, + } + full_query = { + "knn": knn, + "query": { + "bool": { + "must": [ + { + "match": { + "text": { + "query": question, + } + } + } + ], + "filter": [{"match": {"metadata.source_id.keyword": self.source_id}}], + } + }, + "rank": {"rrf": {}}, + } + resp = self.docsearch.search(index=self.index_name, query=full_query['query'], size=k, knn=full_query['knn']) + # create Documents objects from the results page_content ['_source']['text'], metadata ['_source']['metadata'] + doc_list = [] + for hit in resp['hits']['hits']: + + doc_list.append(Document(page_content = hit['_source']['text'], metadata = hit['_source']['metadata'])) + return doc_list + + def _create_index_if_not_exists( + self, index_name, dims_length + ): + + if self._es_connection.indices.exists(index=index_name): + print(f"Index {index_name} already exists.") + + else: + + indexSettings = self.index( + dims_length=dims_length, + ) + self._es_connection.indices.create(index=index_name, **indexSettings) + + def index( + self, + dims_length, + ): + return { + "mappings": { + "properties": { + "vector": { + "type": "dense_vector", + "dims": dims_length, + "index": True, + "similarity": "cosine", + }, + } + } + } + + def add_texts( + self, + texts, + metadatas = None, + ids = None, + refresh_indices = True, + create_index_if_not_exists = True, + bulk_kwargs = None, + **kwargs, + ): + + bulk_kwargs = bulk_kwargs or {} + import uuid + embeddings = [] + ids = ids or [str(uuid.uuid4()) for _ in texts] + requests = [] + embeddings = self._get_embeddings(settings.EMBEDDINGS_NAME, self.embeddings_key) + + vectors = embeddings.embed_documents(list(texts)) + + dims_length = len(vectors[0]) + + if create_index_if_not_exists: + self._create_index_if_not_exists( + index_name=self.index_name, dims_length=dims_length + ) + + for i, (text, vector) in enumerate(zip(texts, vectors)): + metadata = metadatas[i] if metadatas else {} + + requests.append( + { + "_op_type": "index", + "_index": self.index_name, + "text": text, + "vector": vector, + "metadata": metadata, + "_id": ids[i], + } + ) + + + if len(requests) > 0: + from elasticsearch.helpers import BulkIndexError, bulk + try: + success, failed = bulk( + self._es_connection, + requests, + stats_only=True, + refresh=refresh_indices, + **bulk_kwargs, + ) + return ids + except BulkIndexError as e: + print(f"Error adding texts: {e}") + firstError = e.errors[0].get("index", {}).get("error", {}) + print(f"First error reason: {firstError.get('reason')}") + raise e + + else: + return [] + + def delete_index(self): + self._es_connection.delete_by_query(index=self.index_name, query={"match": { + "metadata.source_id.keyword": self.source_id}},) diff --git a/application/vectorstore/faiss.py b/application/vectorstore/faiss.py new file mode 100644 index 00000000..2c1fcb93 --- /dev/null +++ b/application/vectorstore/faiss.py @@ -0,0 +1,115 @@ +import os +import tempfile + +from langchain_community.vectorstores import FAISS + +from application.core.settings import settings +from application.parser.schema.base import Document +from application.vectorstore.base import BaseVectorStore +from application.storage.storage_creator import StorageCreator + + +def get_vectorstore(path: str) -> str: + if path: + vectorstore = f"indexes/{path}" + else: + vectorstore = "indexes" + return vectorstore + + +class FaissStore(BaseVectorStore): + def __init__(self, source_id: str, embeddings_key: str, docs_init=None): + super().__init__() + self.source_id = source_id + self.path = get_vectorstore(source_id) + self.embeddings = self._get_embeddings(settings.EMBEDDINGS_NAME, embeddings_key) + self.storage = StorageCreator.get_storage() + + try: + if docs_init: + self.docsearch = FAISS.from_documents(docs_init, self.embeddings) + else: + with tempfile.TemporaryDirectory() as temp_dir: + faiss_path = f"{self.path}/index.faiss" + pkl_path = f"{self.path}/index.pkl" + + if not self.storage.file_exists( + faiss_path + ) or not self.storage.file_exists(pkl_path): + raise FileNotFoundError( + f"Index files not found in storage at {self.path}" + ) + + faiss_file = self.storage.get_file(faiss_path) + pkl_file = self.storage.get_file(pkl_path) + + local_faiss_path = os.path.join(temp_dir, "index.faiss") + local_pkl_path = os.path.join(temp_dir, "index.pkl") + + with open(local_faiss_path, "wb") as f: + f.write(faiss_file.read()) + + with open(local_pkl_path, "wb") as f: + f.write(pkl_file.read()) + + self.docsearch = FAISS.load_local( + temp_dir, self.embeddings, allow_dangerous_deserialization=True + ) + except Exception as e: + raise Exception(f"Error loading FAISS index: {str(e)}") + + self.assert_embedding_dimensions(self.embeddings) + + def search(self, *args, **kwargs): + return self.docsearch.similarity_search(*args, **kwargs) + + def add_texts(self, *args, **kwargs): + return self.docsearch.add_texts(*args, **kwargs) + + def save_local(self, *args, **kwargs): + return self.docsearch.save_local(*args, **kwargs) + + def delete_index(self, *args, **kwargs): + return self.docsearch.delete(*args, **kwargs) + + def assert_embedding_dimensions(self, embeddings): + """Check that the word embedding dimension of the docsearch index matches the dimension of the word embeddings used.""" + if ( + settings.EMBEDDINGS_NAME + == "huggingface_sentence-transformers/all-mpnet-base-v2" + ): + word_embedding_dimension = getattr(embeddings, "dimension", None) + if word_embedding_dimension is None: + raise AttributeError( + "'dimension' attribute not found in embeddings instance." + ) + + docsearch_index_dimension = self.docsearch.index.d + if word_embedding_dimension != docsearch_index_dimension: + raise ValueError( + f"Embedding dimension mismatch: embeddings.dimension ({word_embedding_dimension}) != docsearch index dimension ({docsearch_index_dimension})" + ) + + def get_chunks(self): + chunks = [] + if self.docsearch: + for doc_id, doc in self.docsearch.docstore._dict.items(): + chunk_data = { + "doc_id": doc_id, + "text": doc.page_content, + "metadata": doc.metadata, + } + chunks.append(chunk_data) + return chunks + + def add_chunk(self, text, metadata=None): + metadata = metadata or {} + doc = Document(text=text, extra_info=metadata).to_langchain_format() + doc_id = self.docsearch.add_documents([doc]) + self.save_local(self.path) + return doc_id + + def delete_chunk(self, chunk_id): + self.delete_index([chunk_id]) + self.save_local(self.path) + return True diff --git a/application/vectorstore/lancedb.py b/application/vectorstore/lancedb.py new file mode 100644 index 00000000..25d62318 --- /dev/null +++ b/application/vectorstore/lancedb.py @@ -0,0 +1,119 @@ +from typing import List, Optional +import importlib +from application.vectorstore.base import BaseVectorStore +from application.core.settings import settings + +class LanceDBVectorStore(BaseVectorStore): + """Class for LanceDB Vector Store integration.""" + + def __init__(self, path: str = settings.LANCEDB_PATH, + table_name_prefix: str = settings.LANCEDB_TABLE_NAME, + source_id: str = None, + embeddings_key: str = "embeddings"): + """Initialize the LanceDB vector store.""" + super().__init__() + self.path = path + self.table_name = f"{table_name_prefix}_{source_id}" if source_id else table_name_prefix + self.embeddings_key = embeddings_key + self._lance_db = None + self.docsearch = None + self._pa = None # PyArrow (pa) will be lazy loaded + + @property + def pa(self): + """Lazy load pyarrow module.""" + if self._pa is None: + self._pa = importlib.import_module("pyarrow") + return self._pa + + @property + def lancedb(self): + """Lazy load lancedb module.""" + if not hasattr(self, "_lancedb_module"): + self._lancedb_module = importlib.import_module("lancedb") + return self._lancedb_module + + @property + def lance_db(self): + """Lazy load the LanceDB connection.""" + if self._lance_db is None: + self._lance_db = self.lancedb.connect(self.path) + return self._lance_db + + @property + def table(self): + """Lazy load the LanceDB table.""" + if self.docsearch is None: + if self.table_name in self.lance_db.table_names(): + self.docsearch = self.lance_db.open_table(self.table_name) + else: + self.docsearch = None + return self.docsearch + + def ensure_table_exists(self): + """Ensure the table exists before performing operations.""" + if self.table is None: + embeddings = self._get_embeddings(settings.EMBEDDINGS_NAME, self.embeddings_key) + schema = self.pa.schema([ + self.pa.field("vector", self.pa.list_(self.pa.float32(), list_size=embeddings.dimension)), + self.pa.field("text", self.pa.string()), + self.pa.field("metadata", self.pa.struct([ + self.pa.field("key", self.pa.string()), + self.pa.field("value", self.pa.string()) + ])) + ]) + self.docsearch = self.lance_db.create_table(self.table_name, schema=schema) + + def add_texts(self, texts: List[str], metadatas: Optional[List[dict]] = None, source_id: str = None): + """Add texts with metadata and their embeddings to the LanceDB table.""" + embeddings = self._get_embeddings(settings.EMBEDDINGS_NAME, self.embeddings_key).embed_documents(texts) + vectors = [] + for embedding, text, metadata in zip(embeddings, texts, metadatas or [{}] * len(texts)): + if source_id: + metadata["source_id"] = source_id + metadata_struct = [{"key": k, "value": str(v)} for k, v in metadata.items()] + vectors.append({ + "vector": embedding, + "text": text, + "metadata": metadata_struct + }) + self.ensure_table_exists() + self.docsearch.add(vectors) + + def search(self, query: str, k: int = 2, *args, **kwargs): + """Search LanceDB for the top k most similar vectors.""" + self.ensure_table_exists() + query_embedding = self._get_embeddings(settings.EMBEDDINGS_NAME, self.embeddings_key).embed_query(query) + results = self.docsearch.search(query_embedding).limit(k).to_list() + return [(result["_distance"], result["text"], result["metadata"]) for result in results] + + def delete_index(self): + """Delete the entire LanceDB index (table).""" + if self.table: + self.lance_db.drop_table(self.table_name) + + def assert_embedding_dimensions(self, embeddings): + """Ensure that embedding dimensions match the table index dimensions.""" + word_embedding_dimension = embeddings.dimension + if self.table: + table_index_dimension = len(self.docsearch.schema["vector"].type.value_type) + if word_embedding_dimension != table_index_dimension: + raise ValueError( + f"Embedding dimension mismatch: embeddings.dimension ({word_embedding_dimension}) " + f"!= table index dimension ({table_index_dimension})" + ) + + def filter_documents(self, filter_condition: dict) -> List[dict]: + """Filter documents based on certain conditions.""" + self.ensure_table_exists() + + # Ensure source_id exists in the filter condition + if 'source_id' not in filter_condition: + raise ValueError("filter_condition must contain 'source_id'") + + source_id = filter_condition["source_id"] + + # Use LanceDB's native filtering if supported, otherwise filter manually + filtered_data = self.docsearch.filter(lambda x: x.metadata and x.metadata.get("source_id") == source_id).to_list() + + return filtered_data \ No newline at end of file diff --git a/application/vectorstore/milvus.py b/application/vectorstore/milvus.py new file mode 100644 index 00000000..d4380666 --- /dev/null +++ b/application/vectorstore/milvus.py @@ -0,0 +1,38 @@ +from typing import List, Optional +from uuid import uuid4 + + +from application.core.settings import settings +from application.vectorstore.base import BaseVectorStore + + +class MilvusStore(BaseVectorStore): + def __init__(self, source_id: str = "", embeddings_key: str = "embeddings"): + super().__init__() + from langchain_milvus import Milvus + + connection_args = { + "uri": settings.MILVUS_URI, + "token": settings.MILVUS_TOKEN, + } + self._docsearch = Milvus( + embedding_function=self._get_embeddings(settings.EMBEDDINGS_NAME, embeddings_key), + collection_name=settings.MILVUS_COLLECTION_NAME, + connection_args=connection_args, + ) + self._source_id = source_id + + def search(self, question, k=2, *args, **kwargs): + expr = f"source_id == '{self._source_id}'" + return self._docsearch.similarity_search(query=question, k=k, expr=expr, *args, **kwargs) + + def add_texts(self, texts: List[str], metadatas: Optional[List[dict]], *args, **kwargs): + ids = [str(uuid4()) for _ in range(len(texts))] + + return self._docsearch.add_texts(texts=texts, metadatas=metadatas, ids=ids, *args, **kwargs) + + def save_local(self, *args, **kwargs): + pass + + def delete_index(self, *args, **kwargs): + pass diff --git a/application/vectorstore/mongodb.py b/application/vectorstore/mongodb.py new file mode 100644 index 00000000..aadd4652 --- /dev/null +++ b/application/vectorstore/mongodb.py @@ -0,0 +1,177 @@ +import logging +from application.core.settings import settings +from application.vectorstore.base import BaseVectorStore +from application.vectorstore.document_class import Document + + +class MongoDBVectorStore(BaseVectorStore): + def __init__( + self, + source_id: str = "", + embeddings_key: str = "embeddings", + collection: str = "documents", + index_name: str = "vector_search_index", + text_key: str = "text", + embedding_key: str = "embedding", + database: str = "docsgpt", + ): + self._index_name = index_name + self._text_key = text_key + self._embedding_key = embedding_key + self._embeddings_key = embeddings_key + self._mongo_uri = settings.MONGO_URI + self._source_id = source_id.replace("application/indexes/", "").rstrip("/") + self._embedding = self._get_embeddings(settings.EMBEDDINGS_NAME, embeddings_key) + + try: + import pymongo + except ImportError: + raise ImportError( + "Could not import pymongo python package. " + "Please install it with `pip install pymongo`." + ) + + self._client = pymongo.MongoClient(self._mongo_uri) + self._database = self._client[database] + self._collection = self._database[collection] + + def search(self, question, k=2, *args, **kwargs): + query_vector = self._embedding.embed_query(question) + + pipeline = [ + { + "$vectorSearch": { + "queryVector": query_vector, + "path": self._embedding_key, + "limit": k, + "numCandidates": k * 10, + "index": self._index_name, + "filter": {"source_id": {"$eq": self._source_id}}, + } + } + ] + + cursor = self._collection.aggregate(pipeline) + + results = [] + for doc in cursor: + text = doc[self._text_key] + doc.pop("_id") + doc.pop(self._text_key) + doc.pop(self._embedding_key) + metadata = doc + results.append(Document(text, metadata)) + return results + + def _insert_texts(self, texts, metadatas): + if not texts: + return [] + embeddings = self._embedding.embed_documents(texts) + + to_insert = [ + {self._text_key: t, self._embedding_key: embedding, **m} + for t, m, embedding in zip(texts, metadatas, embeddings) + ] + + insert_result = self._collection.insert_many(to_insert) + return insert_result.inserted_ids + + def add_texts( + self, + texts, + metadatas=None, + ids=None, + refresh_indices=True, + create_index_if_not_exists=True, + bulk_kwargs=None, + **kwargs, + ): + + # dims = self._embedding.client[1].word_embedding_dimension + # # check if index exists + # if create_index_if_not_exists: + # # check if index exists + # info = self._collection.index_information() + # if self._index_name not in info: + # index_mongo = { + # "fields": [{ + # "type": "vector", + # "path": self._embedding_key, + # "numDimensions": dims, + # "similarity": "cosine", + # }, + # { + # "type": "filter", + # "path": "store" + # }] + # } + # self._collection.create_index(self._index_name, index_mongo) + + batch_size = 100 + _metadatas = metadatas or ({} for _ in texts) + texts_batch = [] + metadatas_batch = [] + result_ids = [] + for i, (text, metadata) in enumerate(zip(texts, _metadatas)): + texts_batch.append(text) + metadatas_batch.append(metadata) + if (i + 1) % batch_size == 0: + result_ids.extend(self._insert_texts(texts_batch, metadatas_batch)) + texts_batch = [] + metadatas_batch = [] + if texts_batch: + result_ids.extend(self._insert_texts(texts_batch, metadatas_batch)) + return result_ids + + def delete_index(self, *args, **kwargs): + self._collection.delete_many({"source_id": self._source_id}) + + def get_chunks(self): + try: + chunks = [] + cursor = self._collection.find({"source_id": self._source_id}) + for doc in cursor: + doc_id = str(doc.get("_id")) + text = doc.get(self._text_key) + metadata = { + k: v + for k, v in doc.items() + if k + not in ["_id", self._text_key, self._embedding_key, "source_id"] + } + + if text: + chunks.append( + {"doc_id": doc_id, "text": text, "metadata": metadata} + ) + + return chunks + except Exception as e: + logging.error(f"Error getting chunks: {e}", exc_info=True) + return [] + + def add_chunk(self, text, metadata=None): + metadata = metadata or {} + embeddings = self._embedding.embed_documents([text]) + if not embeddings: + raise ValueError("Could not generate embedding for chunk") + + chunk_data = { + self._text_key: text, + self._embedding_key: embeddings[0], + "source_id": self._source_id, + **metadata, + } + result = self._collection.insert_one(chunk_data) + return str(result.inserted_id) + + def delete_chunk(self, chunk_id): + try: + from bson.objectid import ObjectId + + object_id = ObjectId(chunk_id) + result = self._collection.delete_one({"_id": object_id}) + return result.deleted_count > 0 + except Exception as e: + logging.error(f"Error deleting chunk: {e}", exc_info=True) + return False diff --git a/application/vectorstore/qdrant.py b/application/vectorstore/qdrant.py new file mode 100644 index 00000000..61a9d63d --- /dev/null +++ b/application/vectorstore/qdrant.py @@ -0,0 +1,48 @@ +from application.vectorstore.base import BaseVectorStore +from application.core.settings import settings + + +class QdrantStore(BaseVectorStore): + def __init__(self, source_id: str = "", embeddings_key: str = "embeddings"): + from qdrant_client import models + from langchain_community.vectorstores.qdrant import Qdrant + + self._filter = models.Filter( + must=[ + models.FieldCondition( + key="metadata.source_id", + match=models.MatchValue(value=source_id.replace("application/indexes/", "").rstrip("/")), + ) + ] + ) + + self._docsearch = Qdrant.construct_instance( + ["TEXT_TO_OBTAIN_EMBEDDINGS_DIMENSION"], + embedding=self._get_embeddings(settings.EMBEDDINGS_NAME, embeddings_key), + collection_name=settings.QDRANT_COLLECTION_NAME, + location=settings.QDRANT_LOCATION, + url=settings.QDRANT_URL, + port=settings.QDRANT_PORT, + grpc_port=settings.QDRANT_GRPC_PORT, + https=settings.QDRANT_HTTPS, + prefer_grpc=settings.QDRANT_PREFER_GRPC, + api_key=settings.QDRANT_API_KEY, + prefix=settings.QDRANT_PREFIX, + timeout=settings.QDRANT_TIMEOUT, + path=settings.QDRANT_PATH, + distance_func=settings.QDRANT_DISTANCE_FUNC, + ) + + def search(self, *args, **kwargs): + return self._docsearch.similarity_search(filter=self._filter, *args, **kwargs) + + def add_texts(self, *args, **kwargs): + return self._docsearch.add_texts(*args, **kwargs) + + def save_local(self, *args, **kwargs): + pass + + def delete_index(self, *args, **kwargs): + return self._docsearch.client.delete( + collection_name=settings.QDRANT_COLLECTION_NAME, points_selector=self._filter + ) diff --git a/application/vectorstore/vector_creator.py b/application/vectorstore/vector_creator.py new file mode 100644 index 00000000..259fa31f --- /dev/null +++ b/application/vectorstore/vector_creator.py @@ -0,0 +1,22 @@ +from application.vectorstore.faiss import FaissStore +from application.vectorstore.elasticsearch import ElasticsearchStore +from application.vectorstore.milvus import MilvusStore +from application.vectorstore.mongodb import MongoDBVectorStore +from application.vectorstore.qdrant import QdrantStore + + +class VectorCreator: + vectorstores = { + "faiss": FaissStore, + "elasticsearch": ElasticsearchStore, + "mongodb": MongoDBVectorStore, + "qdrant": QdrantStore, + "milvus": MilvusStore, + } + + @classmethod + def create_vectorstore(cls, type, *args, **kwargs): + vectorstore_class = cls.vectorstores.get(type.lower()) + if not vectorstore_class: + raise ValueError(f"No vectorstore class found for type {type}") + return vectorstore_class(*args, **kwargs) diff --git a/application/worker.py b/application/worker.py new file mode 100755 index 00000000..c6178931 --- /dev/null +++ b/application/worker.py @@ -0,0 +1,554 @@ +import datetime +import json +import logging +import mimetypes +import os +import shutil +import string +import tempfile +import zipfile + +from collections import Counter +from urllib.parse import urljoin + +import requests +from bson.dbref import DBRef +from bson.objectid import ObjectId + +from application.agents.agent_creator import AgentCreator +from application.api.answer.routes import get_prompt + +from application.core.mongo_db import MongoDB +from application.core.settings import settings +from application.parser.chunking import Chunker +from application.parser.embedding_pipeline import embed_and_store_documents +from application.parser.file.bulk import SimpleDirectoryReader +from application.parser.remote.remote_creator import RemoteCreator +from application.parser.schema.base import Document +from application.retriever.retriever_creator import RetrieverCreator + +from application.storage.storage_creator import StorageCreator +from application.utils import count_tokens_docs, num_tokens_from_string + +mongo = MongoDB.get_client() +db = mongo[settings.MONGO_DB_NAME] +sources_collection = db["sources"] + +# Constants +MIN_TOKENS = 150 +MAX_TOKENS = 1250 +RECURSION_DEPTH = 2 + + +# Define a function to extract metadata from a given filename. +def metadata_from_filename(title): + return {"title": title} + + +# Define a function to generate a random string of a given length. +def generate_random_string(length): + return "".join([string.ascii_letters[i % 52] for i in range(length)]) + + +current_dir = os.path.dirname( + os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +) + + +def extract_zip_recursive(zip_path, extract_to, current_depth=0, max_depth=5): + """ + Recursively extract zip files with a limit on recursion depth. + + Args: + zip_path (str): Path to the zip file to be extracted. + extract_to (str): Destination path for extracted files. + current_depth (int): Current depth of recursion. + max_depth (int): Maximum allowed depth of recursion to prevent infinite loops. + """ + if current_depth > max_depth: + logging.warning(f"Reached maximum recursion depth of {max_depth}") + return + + try: + with zipfile.ZipFile(zip_path, "r") as zip_ref: + zip_ref.extractall(extract_to) + os.remove(zip_path) # Remove the zip file after extracting + except Exception as e: + logging.error(f"Error extracting zip file {zip_path}: {e}", exc_info=True) + return + + # Check for nested zip files and extract them + for root, dirs, files in os.walk(extract_to): + for file in files: + if file.endswith(".zip"): + # If a nested zip file is found, extract it recursively + file_path = os.path.join(root, file) + extract_zip_recursive(file_path, root, current_depth + 1, max_depth) + + +def download_file(url, params, dest_path): + try: + response = requests.get(url, params=params) + response.raise_for_status() + with open(dest_path, "wb") as f: + f.write(response.content) + except requests.RequestException as e: + logging.error(f"Error downloading file: {e}") + raise + + +def upload_index(full_path, file_data): + try: + if settings.VECTOR_STORE == "faiss": + files = { + "file_faiss": open(full_path + "/index.faiss", "rb"), + "file_pkl": open(full_path + "/index.pkl", "rb"), + } + response = requests.post( + urljoin(settings.API_URL, "/api/upload_index"), + files=files, + data=file_data, + ) + else: + response = requests.post( + urljoin(settings.API_URL, "/api/upload_index"), data=file_data + ) + response.raise_for_status() + except requests.RequestException as e: + logging.error(f"Error uploading index: {e}") + raise + finally: + if settings.VECTOR_STORE == "faiss": + for file in files.values(): + file.close() + + +def run_agent_logic(agent_config, input_data): + try: + source = agent_config.get("source") + retriever = agent_config.get("retriever", "classic") + if isinstance(source, DBRef): + source_doc = db.dereference(source) + source = str(source_doc["_id"]) + retriever = source_doc.get("retriever", agent_config.get("retriever")) + else: + source = {} + source = {"active_docs": source} + chunks = int(agent_config.get("chunks", 2)) + prompt_id = agent_config.get("prompt_id", "default") + user_api_key = agent_config["key"] + agent_type = agent_config.get("agent_type", "classic") + decoded_token = {"sub": agent_config.get("user")} + prompt = get_prompt(prompt_id) + agent = AgentCreator.create_agent( + agent_type, + endpoint="webhook", + llm_name=settings.LLM_PROVIDER, + gpt_model=settings.LLM_NAME, + api_key=settings.API_KEY, + user_api_key=user_api_key, + prompt=prompt, + chat_history=[], + decoded_token=decoded_token, + attachments=[], + ) + retriever = RetrieverCreator.create_retriever( + retriever, + source=source, + chat_history=[], + prompt=prompt, + chunks=chunks, + token_limit=settings.DEFAULT_MAX_HISTORY, + gpt_model=settings.LLM_NAME, + user_api_key=user_api_key, + decoded_token=decoded_token, + ) + answer = agent.gen(query=input_data, retriever=retriever) + response_full = "" + thought = "" + source_log_docs = [] + tool_calls = [] + + for line in answer: + if "answer" in line: + response_full += str(line["answer"]) + elif "sources" in line: + source_log_docs.extend(line["sources"]) + elif "tool_calls" in line: + tool_calls.extend(line["tool_calls"]) + elif "thought" in line: + thought += line["thought"] + + result = { + "answer": response_full, + "sources": source_log_docs, + "tool_calls": tool_calls, + "thought": thought, + } + logging.info(f"Agent response: {result}") + return result + except Exception as e: + logging.error(f"Error in run_agent_logic: {e}", exc_info=True) + raise + + +# Define the main function for ingesting and processing documents. +def ingest_worker( + self, directory, formats, job_name, filename, user, dir_name=None, user_dir=None, retriever="classic" +): + """ + Ingest and process documents. + + Args: + self: Reference to the instance of the task. + directory (str): Specifies the directory for ingesting ('inputs' or 'temp'). + formats (list of str): List of file extensions to consider for ingestion (e.g., [".rst", ".md"]). + job_name (str): Name of the job for this ingestion task (original, unsanitized). + filename (str): Name of the file to be ingested. + user (str): Identifier for the user initiating the ingestion (original, unsanitized). + dir_name (str, optional): Sanitized directory name for filesystem operations. + user_dir (str, optional): Sanitized user ID for filesystem operations. + retriever (str): Type of retriever to use for processing the documents. + + Returns: + dict: Information about the completed ingestion task, including input parameters and a "limited" flag. + """ + input_files = None + recursive = True + limit = None + exclude = True + sample = False + + storage = StorageCreator.get_storage() + + full_path = os.path.join(directory, user_dir, dir_name) + source_file_path = os.path.join(full_path, filename) + + logging.info(f"Ingest file: {full_path}", extra={"user": user, "job": job_name}) + + # Create temporary working directory + with tempfile.TemporaryDirectory() as temp_dir: + try: + os.makedirs(temp_dir, exist_ok=True) + + # Download file from storage to temp directory + temp_file_path = os.path.join(temp_dir, filename) + file_data = storage.get_file(source_file_path) + + with open(temp_file_path, "wb") as f: + f.write(file_data.read()) + + self.update_state(state="PROGRESS", meta={"current": 1}) + + # Handle zip files + if filename.endswith(".zip"): + logging.info(f"Extracting zip file: {filename}") + extract_zip_recursive( + temp_file_path, temp_dir, current_depth=0, max_depth=RECURSION_DEPTH + ) + + if sample: + logging.info(f"Sample mode enabled. Using {limit} documents.") + + reader = SimpleDirectoryReader( + input_dir=temp_dir, + input_files=input_files, + recursive=recursive, + required_exts=formats, + exclude_hidden=exclude, + file_metadata=metadata_from_filename, + ) + raw_docs = reader.load_data() + + chunker = Chunker( + chunking_strategy="classic_chunk", + max_tokens=MAX_TOKENS, + min_tokens=MIN_TOKENS, + duplicate_headers=False, + ) + raw_docs = chunker.chunk(documents=raw_docs) + + docs = [Document.to_langchain_format(raw_doc) for raw_doc in raw_docs] + + id = ObjectId() + + vector_store_path = os.path.join(temp_dir, "vector_store") + os.makedirs(vector_store_path, exist_ok=True) + + embed_and_store_documents(docs, vector_store_path, id, self) + + tokens = count_tokens_docs(docs) + + self.update_state(state="PROGRESS", meta={"current": 100}) + + if sample: + for i in range(min(5, len(raw_docs))): + logging.info(f"Sample document {i}: {raw_docs[i]}") + file_data = { + "name": job_name, # Use original job_name + "file": filename, + "user": user, # Use original user + "tokens": tokens, + "retriever": retriever, + "id": str(id), + "type": "local", + "original_file_path": source_file_path, + } + + upload_index(vector_store_path, file_data) + + except Exception as e: + logging.error(f"Error in ingest_worker: {e}", exc_info=True) + raise + + return { + "directory": directory, + "formats": formats, + "name_job": job_name, # Use original job_name + "filename": filename, + "user": user, # Use original user + "limited": False, + } + + +def remote_worker( + self, + source_data, + name_job, + user, + loader, + directory="temp", + retriever="classic", + sync_frequency="never", + operation_mode="upload", + doc_id=None, +): + full_path = os.path.join(directory, user, name_job) + if not os.path.exists(full_path): + os.makedirs(full_path) + + self.update_state(state="PROGRESS", meta={"current": 1}) + try: + logging.info("Initializing remote loader with type: %s", loader) + remote_loader = RemoteCreator.create_loader(loader) + raw_docs = remote_loader.load_data(source_data) + + chunker = Chunker( + chunking_strategy="classic_chunk", + max_tokens=MAX_TOKENS, + min_tokens=MIN_TOKENS, + duplicate_headers=False, + ) + docs = chunker.chunk(documents=raw_docs) + docs = [Document.to_langchain_format(raw_doc) for raw_doc in raw_docs] + tokens = count_tokens_docs(docs) + logging.info("Total tokens calculated: %d", tokens) + + if operation_mode == "upload": + id = ObjectId() + embed_and_store_documents(docs, full_path, id, self) + elif operation_mode == "sync": + if not doc_id or not ObjectId.is_valid(doc_id): + logging.error("Invalid doc_id provided for sync operation: %s", doc_id) + raise ValueError("doc_id must be provided for sync operation.") + id = ObjectId(doc_id) + embed_and_store_documents(docs, full_path, id, self) + + self.update_state(state="PROGRESS", meta={"current": 100}) + + file_data = { + "name": name_job, + "user": user, + "tokens": tokens, + "retriever": retriever, + "id": str(id), + "type": loader, + "remote_data": source_data, + "sync_frequency": sync_frequency, + } + upload_index(full_path, file_data) + + except Exception as e: + logging.error("Error in remote_worker task: %s", str(e), exc_info=True) + raise + + finally: + if os.path.exists(full_path): + shutil.rmtree(full_path) + + logging.info("remote_worker task completed successfully") + return {"urls": source_data, "name_job": name_job, "user": user, "limited": False} + + +def sync( + self, + source_data, + name_job, + user, + loader, + sync_frequency, + retriever, + doc_id=None, + directory="temp", +): + try: + remote_worker( + self, + source_data, + name_job, + user, + loader, + directory, + retriever, + sync_frequency, + "sync", + doc_id, + ) + except Exception as e: + logging.error(f"Error during sync: {e}", exc_info=True) + return {"status": "error", "error": str(e)} + return {"status": "success"} + + +def sync_worker(self, frequency): + sync_counts = Counter() + sources = sources_collection.find() + for doc in sources: + if doc.get("sync_frequency") == frequency: + name = doc.get("name") + user = doc.get("user") + source_type = doc.get("type") + source_data = doc.get("remote_data") + retriever = doc.get("retriever") + doc_id = str(doc.get("_id")) + resp = sync( + self, source_data, name, user, source_type, frequency, retriever, doc_id + ) + sync_counts["total_sync_count"] += 1 + sync_counts[ + "sync_success" if resp["status"] == "success" else "sync_failure" + ] += 1 + + return { + key: sync_counts[key] + for key in ["total_sync_count", "sync_success", "sync_failure"] + } + + +def attachment_worker(self, file_info, user): + """ + Process and store a single attachment without vectorization. + """ + + mongo = MongoDB.get_client() + db = mongo[settings.MONGO_DB_NAME] + attachments_collection = db["attachments"] + + filename = file_info["filename"] + attachment_id = file_info["attachment_id"] + relative_path = file_info["path"] + metadata = file_info.get("metadata", {}) + + try: + self.update_state(state="PROGRESS", meta={"current": 10}) + storage = StorageCreator.get_storage() + + self.update_state( + state="PROGRESS", meta={"current": 30, "status": "Processing content"} + ) + + content = storage.process_file( + relative_path, + lambda local_path, **kwargs: SimpleDirectoryReader( + input_files=[local_path], exclude_hidden=True, errors="ignore" + ) + .load_data()[0] + .text, + ) + + token_count = num_tokens_from_string(content) + + self.update_state( + state="PROGRESS", meta={"current": 80, "status": "Storing in database"} + ) + + mime_type = mimetypes.guess_type(filename)[0] or "application/octet-stream" + + doc_id = ObjectId(attachment_id) + attachments_collection.insert_one( + { + "_id": doc_id, + "user": user, + "path": relative_path, + "filename": filename, + "content": content, + "token_count": token_count, + "mime_type": mime_type, + "date": datetime.datetime.now(), + "metadata": metadata, + } + ) + + logging.info( + f"Stored attachment with ID: {attachment_id}", extra={"user": user} + ) + + self.update_state(state="PROGRESS", meta={"current": 100, "status": "Complete"}) + + return { + "filename": filename, + "path": relative_path, + "token_count": token_count, + "attachment_id": attachment_id, + "mime_type": mime_type, + "metadata": metadata, + } + + except Exception as e: + logging.error( + f"Error processing file {filename}: {e}", + extra={"user": user}, + exc_info=True, + ) + raise + + +def agent_webhook_worker(self, agent_id, payload): + """ + Process the webhook payload for an agent. + + Args: + self: Reference to the instance of the task. + agent_id (str): Unique identifier for the agent. + payload (dict): The payload data from the webhook. + + Returns: + dict: Information about the processed webhook. + """ + mongo = MongoDB.get_client() + db = mongo["docsgpt"] + agents_collection = db["agents"] + + self.update_state(state="PROGRESS", meta={"current": 1}) + try: + agent_oid = ObjectId(agent_id) + agent_config = agents_collection.find_one({"_id": agent_oid}) + if not agent_config: + raise ValueError(f"Agent with ID {agent_id} not found.") + input_data = json.dumps(payload) + except Exception as e: + logging.error(f"Error processing agent webhook: {e}", exc_info=True) + return {"status": "error", "error": str(e)} + + self.update_state(state="PROGRESS", meta={"current": 50}) + try: + result = run_agent_logic(agent_config, input_data) + except Exception as e: + logging.error(f"Error running agent logic: {e}", exc_info=True) + return {"status": "error", "error": str(e)} + finally: + self.update_state(state="PROGRESS", meta={"current": 100}) + logging.info( + f"Webhook processed for agent {agent_id}", extra={"agent_id": agent_id} + ) + return {"status": "success", "result": result} diff --git a/application/wsgi.py b/application/wsgi.py new file mode 100644 index 00000000..d0a7db07 --- /dev/null +++ b/application/wsgi.py @@ -0,0 +1,5 @@ +from application.app import app +from application.core.settings import settings + +if __name__ == "__main__": + app.run(debug=settings.FLASK_DEBUG_MODE, port=7091) diff --git a/codecov.yml b/codecov.yml new file mode 100644 index 00000000..3b859168 --- /dev/null +++ b/codecov.yml @@ -0,0 +1,2 @@ +ignore: + - "*/tests/*" \ No newline at end of file diff --git a/deployment/docker-compose-azure.yaml b/deployment/docker-compose-azure.yaml new file mode 100644 index 00000000..9e8b6fce --- /dev/null +++ b/deployment/docker-compose-azure.yaml @@ -0,0 +1,69 @@ +services: + frontend: + build: ../frontend + environment: + - VITE_API_HOST=http://localhost:7091 + - VITE_API_STREAMING=$VITE_API_STREAMING + ports: + - "5173:5173" + depends_on: + - backend + + backend: + build: ../application + environment: + - API_KEY=$OPENAI_API_KEY + - EMBEDDINGS_KEY=$OPENAI_API_KEY + - CELERY_BROKER_URL=redis://redis:6379/0 + - CELERY_RESULT_BACKEND=redis://redis:6379/1 + - MONGO_URI=mongodb://mongo:27017/docsgpt + - OPENAI_API_KEY=$OPENAI_API_KEY + - OPENAI_API_BASE=$OPENAI_API_BASE + - OPENAI_API_VERSION=$OPENAI_API_VERSION + - AZURE_DEPLOYMENT_NAME=$AZURE_DEPLOYMENT_NAME + - AZURE_EMBEDDINGS_DEPLOYMENT_NAME=$AZURE_EMBEDDINGS_DEPLOYMENT_NAME + ports: + - "7091:7091" + volumes: + - ../application/indexes:/app/application/indexes + - ../application/inputs:/app/application/inputs + - ../application/vectors:/app/application/vectors + depends_on: + - redis + - mongo + + worker: + build: ../application + command: celery -A application.app.celery worker -l INFO + environment: + - API_KEY=$OPENAI_API_KEY + - EMBEDDINGS_KEY=$OPENAI_API_KEY + - CELERY_BROKER_URL=redis://redis:6379/0 + - CELERY_RESULT_BACKEND=redis://redis:6379/1 + - MONGO_URI=mongodb://mongo:27017/docsgpt + - API_URL=http://backend:7091 + - OPENAI_API_KEY=$OPENAI_API_KEY + - OPENAI_API_BASE=$OPENAI_API_BASE + - OPENAI_API_VERSION=$OPENAI_API_VERSION + - AZURE_DEPLOYMENT_NAME=$AZURE_DEPLOYMENT_NAME + - AZURE_EMBEDDINGS_DEPLOYMENT_NAME=$AZURE_EMBEDDINGS_DEPLOYMENT_NAME + depends_on: + - redis + - mongo + + redis: + image: redis:6-alpine + ports: + - 6379:6379 + + mongo: + image: mongo:6 + ports: + - 27017:27017 + volumes: + - mongodb_data_container:/data/db + + + +volumes: + mongodb_data_container: \ No newline at end of file diff --git a/deployment/docker-compose-dev.yaml b/deployment/docker-compose-dev.yaml new file mode 100644 index 00000000..a1658bd2 --- /dev/null +++ b/deployment/docker-compose-dev.yaml @@ -0,0 +1,19 @@ +name: docsgpt-oss +services: + + redis: + image: redis:6-alpine + ports: + - 6379:6379 + + mongo: + image: mongo:6 + ports: + - 27017:27017 + volumes: + - mongodb_data_container:/data/db + + + +volumes: + mongodb_data_container: \ No newline at end of file diff --git a/deployment/docker-compose-local.yaml b/deployment/docker-compose-local.yaml new file mode 100644 index 00000000..77a82866 --- /dev/null +++ b/deployment/docker-compose-local.yaml @@ -0,0 +1,26 @@ +services: + frontend: + build: ../frontend + volumes: + - ../frontend/src:/app/src + environment: + - VITE_API_HOST=http://localhost:7091 + - VITE_API_STREAMING=$VITE_API_STREAMING + - VITE_EMBEDDINGS_NAME=$EMBEDDINGS_NAME + ports: + - "5173:5173" + + redis: + image: redis:6-alpine + ports: + - 6379:6379 + + mongo: + image: mongo:6 + ports: + - 27017:27017 + volumes: + - mongodb_data_container:/data/db + +volumes: + mongodb_data_container: diff --git a/deployment/docker-compose.yaml b/deployment/docker-compose.yaml new file mode 100644 index 00000000..f1181469 --- /dev/null +++ b/deployment/docker-compose.yaml @@ -0,0 +1,73 @@ +name: docsgpt-oss +services: + frontend: + build: ../frontend + volumes: + - ../frontend/src:/app/src + environment: + - VITE_API_HOST=http://localhost:7091 + - VITE_API_STREAMING=$VITE_API_STREAMING + ports: + - "5173:5173" + depends_on: + - backend + + backend: + user: root + build: ../application + environment: + - API_KEY=$API_KEY + - EMBEDDINGS_KEY=$API_KEY + - LLM_PROVIDER=$LLM_PROVIDER + - LLM_NAME=$LLM_NAME + - CELERY_BROKER_URL=redis://redis:6379/0 + - CELERY_RESULT_BACKEND=redis://redis:6379/1 + - MONGO_URI=mongodb://mongo:27017/docsgpt + - CACHE_REDIS_URL=redis://redis:6379/2 + - OPENAI_BASE_URL=$OPENAI_BASE_URL + ports: + - "7091:7091" + volumes: + - ../application/indexes:/app/indexes + - ../application/inputs:/app/inputs + - ../application/vectors:/app/vectors + depends_on: + - redis + - mongo + + worker: + user: root + build: ../application + command: celery -A application.app.celery worker -l INFO -B + environment: + - API_KEY=$API_KEY + - EMBEDDINGS_KEY=$API_KEY + - LLM_PROVIDER=$LLM_PROVIDER + - LLM_NAME=$LLM_NAME + - CELERY_BROKER_URL=redis://redis:6379/0 + - CELERY_RESULT_BACKEND=redis://redis:6379/1 + - MONGO_URI=mongodb://mongo:27017/docsgpt + - API_URL=http://backend:7091 + - CACHE_REDIS_URL=redis://redis:6379/2 + volumes: + - ../application/indexes:/app/indexes + - ../application/inputs:/app/inputs + - ../application/vectors:/app/vectors + depends_on: + - redis + - mongo + + redis: + image: redis:6-alpine + ports: + - 6379:6379 + + mongo: + image: mongo:6 + ports: + - 27017:27017 + volumes: + - mongodb_data_container:/data/db + +volumes: + mongodb_data_container: diff --git a/deployment/k8s/deployments/docsgpt-deploy.yaml b/deployment/k8s/deployments/docsgpt-deploy.yaml new file mode 100644 index 00000000..815ff47f --- /dev/null +++ b/deployment/k8s/deployments/docsgpt-deploy.yaml @@ -0,0 +1,98 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: docsgpt-api +spec: + replicas: 1 + selector: + matchLabels: + app: docsgpt-api + template: + metadata: + labels: + app: docsgpt-api + spec: + containers: + - name: docsgpt-api + image: arc53/docsgpt + ports: + - containerPort: 7091 + resources: + limits: + memory: "4Gi" + cpu: "2" + requests: + memory: "2Gi" + cpu: "1" + envFrom: + - secretRef: + name: docsgpt-secrets + env: + - name: FLASK_APP + value: "application/app.py" + - name: DEPLOYMENT_TYPE + value: "cloud" +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: docsgpt-worker +spec: + replicas: 1 + selector: + matchLabels: + app: docsgpt-worker + template: + metadata: + labels: + app: docsgpt-worker + spec: + containers: + - name: docsgpt-worker + image: arc53/docsgpt + command: ["celery", "-A", "application.app.celery", "worker", "-l", "INFO", "-n", "worker.%h"] + resources: + limits: + memory: "4Gi" + cpu: "2" + requests: + memory: "2Gi" + cpu: "1" + envFrom: + - secretRef: + name: docsgpt-secrets + env: + - name: API_URL + value: "http://" +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: docsgpt-frontend +spec: + replicas: 1 + selector: + matchLabels: + app: docsgpt-frontend + template: + metadata: + labels: + app: docsgpt-frontend + spec: + containers: + - name: docsgpt-frontend + image: arc53/docsgpt-fe + ports: + - containerPort: 5173 + resources: + limits: + memory: "1Gi" + cpu: "1" + requests: + memory: "256Mi" + cpu: "100m" + env: + - name: VITE_API_HOST + value: "http://" + - name: VITE_API_STREAMING + value: "true" \ No newline at end of file diff --git a/deployment/k8s/deployments/mongo-deploy.yaml b/deployment/k8s/deployments/mongo-deploy.yaml new file mode 100644 index 00000000..1ab55295 --- /dev/null +++ b/deployment/k8s/deployments/mongo-deploy.yaml @@ -0,0 +1,46 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: mongodb-pvc +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 10Gi # Adjust size as needed + +--- + +apiVersion: apps/v1 +kind: Deployment +metadata: + name: mongodb +spec: + replicas: 1 + selector: + matchLabels: + app: mongodb + template: + metadata: + labels: + app: mongodb + spec: + containers: + - name: mongodb + image: mongo:latest + ports: + - containerPort: 27017 + resources: + limits: + memory: "1Gi" + cpu: "0.5" + requests: + memory: "512Mi" + cpu: "250m" + volumeMounts: + - name: mongodb-data + mountPath: /data/db + volumes: + - name: mongodb-data + persistentVolumeClaim: + claimName: mongodb-pvc \ No newline at end of file diff --git a/deployment/k8s/deployments/qdrant-deploy.yaml b/deployment/k8s/deployments/qdrant-deploy.yaml new file mode 100644 index 00000000..70937b17 --- /dev/null +++ b/deployment/k8s/deployments/qdrant-deploy.yaml @@ -0,0 +1,46 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: qdrant-pvc +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 10Gi + +--- + +apiVersion: apps/v1 +kind: Deployment +metadata: + name: qdrant +spec: + replicas: 1 + selector: + matchLabels: + app: qdrant + template: + metadata: + labels: + app: qdrant + spec: + containers: + - name: qdrant + image: qdrant/qdrant:latest + ports: + - containerPort: 6333 + resources: + limits: + memory: "2Gi" # Adjust based on your needs + cpu: "1" # Adjust based on your needs + requests: + memory: "1Gi" # Adjust based on your needs + cpu: "500m" # Adjust based on your needs + volumeMounts: + - name: qdrant-data + mountPath: /qdrant/storage + volumes: + - name: qdrant-data + persistentVolumeClaim: + claimName: qdrant-pvc \ No newline at end of file diff --git a/deployment/k8s/deployments/redis-deploy.yaml b/deployment/k8s/deployments/redis-deploy.yaml new file mode 100644 index 00000000..e2728961 --- /dev/null +++ b/deployment/k8s/deployments/redis-deploy.yaml @@ -0,0 +1,26 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: redis +spec: + replicas: 1 + selector: + matchLabels: + app: redis + template: + metadata: + labels: + app: redis + spec: + containers: + - name: redis + image: redis:latest + ports: + - containerPort: 6379 + resources: + limits: + memory: "1Gi" + cpu: "0.5" + requests: + memory: "512Mi" + cpu: "250m" \ No newline at end of file diff --git a/deployment/k8s/docsgpt-secrets.yaml b/deployment/k8s/docsgpt-secrets.yaml new file mode 100644 index 00000000..2d494e8e --- /dev/null +++ b/deployment/k8s/docsgpt-secrets.yaml @@ -0,0 +1,15 @@ +apiVersion: v1 +kind: Secret +metadata: + name: docsgpt-secrets +type: Opaque +data: + LLM_PROVIDER: ZG9jc2dwdA== + INTERNAL_KEY: aW50ZXJuYWw= + CELERY_BROKER_URL: cmVkaXM6Ly9yZWRpcy1zZXJ2aWNlOjYzNzkvMA== + CELERY_RESULT_BACKEND: cmVkaXM6Ly9yZWRpcy1zZXJ2aWNlOjYzNzkvMA== + QDRANT_URL: cmVkaXM6Ly9yZWRpcy1zZXJ2aWNlOjYzNzkvMA== + QDRANT_PORT: NjM3OQ== + MONGO_URI: bW9uZ29kYjovL21vbmdvZGItc2VydmljZToyNzAxNy9kb2NzZ3B0P3JldHJ5V3JpdGVzPXRydWUmdz1tYWpvcml0eQ== + mongo-user: bW9uZ28tdXNlcg== + mongo-password: bW9uZ28tcGFzc3dvcmQ= \ No newline at end of file diff --git a/deployment/k8s/services/docsgpt-service.yaml b/deployment/k8s/services/docsgpt-service.yaml new file mode 100644 index 00000000..958d7c63 --- /dev/null +++ b/deployment/k8s/services/docsgpt-service.yaml @@ -0,0 +1,25 @@ +apiVersion: v1 +kind: Service +metadata: + name: docsgpt-api-service +spec: + selector: + app: docsgpt-api + ports: + - protocol: TCP + port: 80 + targetPort: 7091 + type: LoadBalancer +--- +apiVersion: v1 +kind: Service +metadata: + name: docsgpt-frontend-service +spec: + selector: + app: docsgpt-frontend + ports: + - protocol: TCP + port: 80 + targetPort: 5173 + type: LoadBalancer \ No newline at end of file diff --git a/deployment/k8s/services/mongo-service.yaml b/deployment/k8s/services/mongo-service.yaml new file mode 100644 index 00000000..0ea3db62 --- /dev/null +++ b/deployment/k8s/services/mongo-service.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: Service +metadata: + name: mongodb-service +spec: + selector: + app: mongodb + ports: + - protocol: TCP + port: 27017 + targetPort: 27017 + type: ClusterIP \ No newline at end of file diff --git a/deployment/k8s/services/qdrant-service.yaml b/deployment/k8s/services/qdrant-service.yaml new file mode 100644 index 00000000..7ab395e8 --- /dev/null +++ b/deployment/k8s/services/qdrant-service.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: Service +metadata: + name: qdrant +spec: + selector: + app: qdrant + ports: + - protocol: TCP + port: 6333 + targetPort: 6333 + type: ClusterIP \ No newline at end of file diff --git a/deployment/k8s/services/redis-service.yaml b/deployment/k8s/services/redis-service.yaml new file mode 100644 index 00000000..5d7dbf99 --- /dev/null +++ b/deployment/k8s/services/redis-service.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: Service +metadata: + name: redis-service +spec: + selector: + app: redis + ports: + - protocol: TCP + port: 6379 + targetPort: 6379 + type: ClusterIP \ No newline at end of file diff --git a/deployment/optional/docker-compose.optional.ollama-cpu.yaml b/deployment/optional/docker-compose.optional.ollama-cpu.yaml new file mode 100644 index 00000000..d7127314 --- /dev/null +++ b/deployment/optional/docker-compose.optional.ollama-cpu.yaml @@ -0,0 +1,11 @@ +version: "3.8" +services: + ollama: + image: ollama/ollama + ports: + - "11434:11434" + volumes: + - ollama_data:/root/.ollama + +volumes: + ollama_data: \ No newline at end of file diff --git a/deployment/optional/docker-compose.optional.ollama-gpu.yaml b/deployment/optional/docker-compose.optional.ollama-gpu.yaml new file mode 100644 index 00000000..17d79100 --- /dev/null +++ b/deployment/optional/docker-compose.optional.ollama-gpu.yaml @@ -0,0 +1,16 @@ +version: "3.8" +services: + ollama: + image: ollama/ollama + ports: + - "11434:11434" + volumes: + - ollama_data:/root/.ollama + deploy: + resources: + reservations: + devices: + - capabilities: [gpu] + +volumes: + ollama_data: \ No newline at end of file diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 00000000..12ebbf08 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,51 @@ +# nextra-docsgpt + +## Setting Up Docs Folder of DocsGPT Locally + +### 1. Clone the DocsGPT repository: + +```bash +git clone https://github.com/arc53/DocsGPT.git +``` +### 2. Navigate to the docs folder: + +```bash +cd DocsGPT/docs +``` + +The docs folder contains the markdown files that make up the documentation. The majority of the files are in the pages directory. Some notable files in this folder include: + +`index.mdx`: The main documentation file. +`_app.js`: This file is used to customize the default Next.js application shell. +`theme.config.jsx`: This file is for configuring the Nextra theme for the documentation. + +### 3. Verify that you have Node.js and npm installed in your system. You can check by running: + +```bash +node --version +npm --version +``` + +### 4. If not installed, download Node.js and npm from the respective official websites. + +### 5. Once you have Node.js and npm running, proceed to install yarn - another package manager that helps to manage project dependencies: + +```bash +npm install --global yarn +``` + +### 6. Install the project dependencies using yarn: + +```bash +yarn install +``` + +### 7. After the successful installation of the project dependencies, start the local server: + +```bash +yarn dev +``` + +- Now, you should be able to view the docs on your local environment by visiting `http://localhost:3000`. You can explore the different markdown files and make changes as you see fit. + +- **Footnotes:** This guide assumes you have Node.js and npm installed. The guide involves running a local server using yarn, and viewing the documentation offline. If you encounter any issues, it may be worth verifying your Node.js and npm installations and whether you have installed yarn correctly. diff --git a/docs/components/DeploymentCards.jsx b/docs/components/DeploymentCards.jsx new file mode 100644 index 00000000..1f91c171 --- /dev/null +++ b/docs/components/DeploymentCards.jsx @@ -0,0 +1,120 @@ +import Image from 'next/image'; + +const iconMap = { + 'Amazon Lightsail': '/lightsail.png', + 'Railway': '/railway.png', + 'Civo Compute Cloud': '/civo.png', + 'DigitalOcean Droplet': '/digitalocean.png', + 'Kamatera Cloud': '/kamatera.png', +}; + + +export function DeploymentCards({ items }) { + return ( + <> +
+ {items.map(({ title, link, description }) => { + const isExternal = link.startsWith('https://'); + const iconSrc = iconMap[title] || '/default-icon.png'; // Default icon if not found + + return ( + + ); + })} +
+ + + + ); +} \ No newline at end of file diff --git a/docs/components/ToolCards.jsx b/docs/components/ToolCards.jsx new file mode 100644 index 00000000..a7932c4c --- /dev/null +++ b/docs/components/ToolCards.jsx @@ -0,0 +1,117 @@ +import Image from 'next/image'; + +const iconMap = { + 'API Tool': '/toolIcons/tool_api_tool.svg', + 'Brave Search Tool': '/toolIcons/tool_brave.svg', + 'Cryptoprice Tool': '/toolIcons/tool_cryptoprice.svg', + 'Ntfy Tool': '/toolIcons/tool_ntfy.svg', + 'PostgreSQL Tool': '/toolIcons/tool_postgres.svg', + 'Read Webpage Tool': '/toolIcons/tool_read_webpage.svg', + 'Telegram Tool': '/toolIcons/tool_telegram.svg' +}; + + +export function ToolCards({ items }) { + return ( + <> +
+ {items.map(({ title, link, description }) => { + const isExternal = link.startsWith('https://'); + const iconSrc = iconMap[title] || '/default-icon.png'; // Default icon if not found + + return ( + + ); + })} +
+ + + + ); +} \ No newline at end of file diff --git a/docs/next.config.js b/docs/next.config.js new file mode 100644 index 00000000..4495264b --- /dev/null +++ b/docs/next.config.js @@ -0,0 +1,9 @@ +const withNextra = require('nextra')({ + theme: 'nextra-theme-docs', + themeConfig: './theme.config.jsx' +}) + +module.exports = withNextra() + +// If you have other Next.js configurations, you can pass them as the parameter: +// module.exports = withNextra({ /* other next.js config */ }) diff --git a/docs/package-lock.json b/docs/package-lock.json new file mode 100644 index 00000000..e1aa2584 --- /dev/null +++ b/docs/package-lock.json @@ -0,0 +1,11880 @@ +{ + "name": "docs", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "license": "MIT", + "dependencies": { + "@vercel/analytics": "^1.1.1", + "docsgpt-react": "^0.5.1", + "next": "^15.3.3", + "nextra": "^2.13.2", + "nextra-theme-docs": "^2.13.2", + "react": "^18.2.0", + "react-dom": "^18.2.0" + } + }, + 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"scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start" + }, + "license": "MIT", + "dependencies": { + "@vercel/analytics": "^1.1.1", + "docsgpt-react": "^0.5.1", + "next": "^15.3.3", + "nextra": "^2.13.2", + "nextra-theme-docs": "^2.13.2", + "react": "^18.2.0", + "react-dom": "^18.2.0" + } +} diff --git a/docs/pages/Agents/_meta.json b/docs/pages/Agents/_meta.json new file mode 100644 index 00000000..f5d0fe6e --- /dev/null +++ b/docs/pages/Agents/_meta.json @@ -0,0 +1,6 @@ +{ + "basics": { + "title": "🤖 Agent Basics", + "href": "/Agents/basics" + } +} \ No newline at end of file diff --git a/docs/pages/Agents/basics.mdx b/docs/pages/Agents/basics.mdx new file mode 100644 index 00000000..cc67c2df --- /dev/null +++ b/docs/pages/Agents/basics.mdx @@ -0,0 +1,109 @@ +--- +title: Understanding DocsGPT Agents +description: Learn about DocsGPT Agents, their types, how to create and manage them, and how they can enhance your interaction with documents and tools. +--- + +import { Callout } from 'nextra/components'; +import Image from 'next/image'; // Assuming you might want to embed images later, like the ones you uploaded. + +# Understanding DocsGPT Agents 🤖 + +DocsGPT Agents are advanced, configurable AI entities designed to go beyond simple question-answering. They act as specialized assistants or workers that combine instructions (prompts), knowledge (document sources), and capabilities (tools) to perform a wide range of tasks, automate workflows, and provide tailored interactions. + +Think of an Agent as a pre-configured version of DocsGPT, fine-tuned for a specific purpose, such as classifying documents, responding to new form submissions, or validating emails. + +## Why Use Agents? + +* **Personalization:** Create AI assistants that behave and respond according to specific roles or personas. +* **Task Specialization:** Design agents focused on particular tasks, like customer support, data extraction, or content generation. +* **Knowledge Integration:** Equip agents with specific document sources, making them experts in particular domains. +* **Tool Utilization:** Grant agents access to various tools, allowing them to interact with external services, fetch live data, or perform actions. +* **Automation:** Automate repetitive tasks by defining an agent's behavior and integrating it via webhooks or other means. +* **Shareability:** Share your custom-configured agents with others or use agents shared with you. + +Agents provide a more structured and powerful way to leverage LLMs compared to a standard chat interface, as they come with a pre-defined context, instruction set, and set of capabilities. + +## Core Components of an Agent + +When you create or configure an agent, you'll work with these key components: + +**Meta:** + * **Agent Name:** A user-friendly name to identify the agent (e.g., "Support Ticket Classifier," "Product Spec Expert"). + * **Describe your agent:** A brief description for you or users to understand the agent's purpose. + +**Source:** + * **Select source:** The knowledge base for the agent. You can select from previously uploaded documents or data sources. This is what the agent will "know." + * **Chunks per query:** A numerical value determining how many relevant text chunks from the selected source are sent to the LLM with each query. This helps manage context length and relevance. + +**Prompt:** +The main set of instructions or system [prompt](/Guides/Customising-prompts) that defines the agent's persona, objectives, constraints, and how it should behave or respond. + +**Tools:** A selection of available [DocsGPT Tools](/Tools/basics) that the agent can use to perform actions or access external information. + +**Agent type:** The underlying operational logic or architecture the agent uses. DocsGPT supports different types of agents, each suited for different kinds of tasks. + +## Understanding Agent Types + +DocsGPT allows for different "types" of agents, each with a distinct way of processing information and generating responses. The code for these agent types can be found in the `application/agents/` directory. + +### 1. Classic Agent (`classic_agent.py`) + +**How it works:** The Classic Agent follows a traditional Retrieval Augmented Generation (RAG) approach. + 1. **Retrieve:** When a query is made, it first searches the selected Source documents for relevant information. + 2. **Augment:** This retrieved data is then added to the context, along with the main Prompt and the user's query. + 3. **Generate:** The LLM generates a response based on this augmented context. It can also utilize any configured tools if the LLM decides they are necessary. + +**Best for:** + * Direct question-answering over a specific set of documents. + * Tasks where the primary goal is to extract and synthesize information from the provided sources. + * Simpler tool integrations where the decision to use a tool is straightforward. + +### 2. ReAct Agent (`react_agent.py`) + +**How it works:** The ReAct Agent employs a more sophisticated "Reason and Act" framework. This involves a multi-step process: + 1. **Plan (Thought):** Based on the query, its prompt, and available tools/sources, the LLM first generates a plan or a sequence of thoughts on how to approach the problem. You might see this output as a "thought" process during generation. + 2. **Act:** The agent then executes actions based on this plan. This might involve querying its sources, using a tool, or performing internal reasoning. + 3. **Observe:** It gathers observations from the results of its actions (e.g., data from a tool, snippets from documents). + 4. **Repeat (if necessary):** Steps 2 and 3 can be repeated as the agent refines its approach or gathers more information. + 5. **Conclude:** Finally, it generates the final answer based on the initial query and all accumulated observations. + +**Best for:** + * More complex tasks that require multi-step reasoning or problem-solving. + * Scenarios where the agent needs to dynamically decide which tools to use and in what order, based on intermediate results. + * Interactive tasks where the agent needs to "think" through a problem. + + +Developers looking to introduce new agent architectures can explore the `application/agents/` directory. `classic_agent.py` and `react_agent.py` serve as excellent starting points, demonstrating how to inherit from `BaseAgent` and structure agent logic. + + +## Navigating and Managing Agents in DocsGPT + +You can easily access and manage your agents through the DocsGPT user interface. Recently used agents appear at the top of the left sidebar for quick access. Below these, the "Manage Agents" button will take you to the main Agents page. + +### Creating a New Agent + +1. Navigate to the "Agents" page. +2. Click the **"New Agent"** button. +3. You will be presented with the "New Agent" configuration screen: + +API Tool configuration example for phone validation + +4. Fill in the fields as described in the "Core Components of an Agent" section. +5. Once configured, you can **"Save Draft"** to continue editing later or **"Publish"** to make the agent active. + +## Interacting with and Editing Agents + +Once an agent is created, you can: + +* **Chat with it:** Select the agent to start an interaction. +* **View Logs:** Access usage statistics, monitor token consumption per interaction, and review user message feedbacks. This is crucial for understanding how your agent is being used and performing. +* **Edit an Agent:** + * Modify any of its configuration settings (name, description, source, prompt, tools, type). + * **Generate a Public Link:** From the edit screen, you can create a shareable public link that allows others to import and use your agent. + * **Get a Webhook URL:** You can also obtain a Webhook URL for the agent. This allows external applications or services to trigger the agent and receive responses programmatically, enabling powerful integrations and automations. diff --git a/docs/pages/Deploying/Amazon-Lightsail.mdx b/docs/pages/Deploying/Amazon-Lightsail.mdx new file mode 100644 index 00000000..24aef74b --- /dev/null +++ b/docs/pages/Deploying/Amazon-Lightsail.mdx @@ -0,0 +1,110 @@ +--- +title: Hosting DocsGPT on Amazon Lightsail +description: +display: hidden +--- + +# Self-hosting DocsGPT on Amazon Lightsail + +Here's a step-by-step guide on how to set up an Amazon Lightsail instance to host DocsGPT. + +## Configuring your instance + +(If you know how to create a Lightsail instance, you can skip to the recommended configuration part by clicking [here](#connecting-to-your-newly-created-instance)). + +### 1. Create an AWS Account: +If you haven't already, create or log in to your AWS account at https://lightsail.aws.amazon.com. + +### 2. Create an Instance: + +a. Click "Create Instance." + +b. Select the "Instance location." In most cases, the default location works fine. + +c. Choose "Linux/Unix" as the image and "Ubuntu 20.04 LTS" as the Operating System. + +d. Configure the instance plan based on your requirements. A "1 GB, 1vCPU, 40GB SSD, and 2TB transfer" setup is recommended for most scenarios. + +e. Give your instance a unique name and click "Create Instance." + +PS: It may take a few minutes for the instance setup to complete. + +### Connecting to Your newly created Instance + +Your instance will be ready a few minutes after creation. To access it, open the instance and click "Connect using SSH." + +#### Clone the DocsGPT Repository + +A terminal window will pop up, and the first step will be to clone the DocsGPT Git repository: + +`git clone https://github.com/arc53/DocsGPT.git` + +#### Download the package information + +Once it has finished cloning the repository, it is time to download the package information from all sources. To do so, simply enter the following command: + +`sudo apt update` + +#### Install Docker and Docker Compose + +DocsGPT backend and worker use Python, Frontend is written on React and the whole application is containerized using Docker. To install Docker and Docker Compose, enter the following commands: + +`sudo apt install docker.io` + +And now install docker-compose: + +`sudo apt install docker-compose` + +#### Access the DocsGPT Folder + +Enter the following command to access the folder in which the DocsGPT docker-compose file is present. + +`cd DocsGPT/` + +#### Prepare the Environment + +Inside the DocsGPT folder create a `.env` file and copy the contents of `.env_sample` into it. + +`nano .env` + +Make sure your `.env` file looks like this: + +``` +OPENAI_API_KEY=(Your OpenAI API key) +VITE_API_STREAMING=true +SELF_HOSTED_MODEL=false +``` + +To save the file, press CTRL+X, then Y, and then ENTER. + +Next, set the correct IP for the Backend by opening the docker-compose.yml file: + +`nano deployment/docker-compose.yaml` + +And Change line 7 to: `VITE_API_HOST=http://localhost:7091` +to this `VITE_API_HOST=http://:7091` + +This will allow the frontend to connect to the backend. + +#### Running the Application + +You're almost there! Now that all the necessary bits and pieces have been installed, it is time to run the application. To do so, use the following command: + +`sudo docker compose -f deployment/docker-compose.yaml up -d` + +Launching it for the first time will take a few minutes to download all the necessary dependencies and build. + +Once this is done you can go ahead and close the terminal window. + +#### Enabling Ports + +a. Before you are able to access your live instance, you must first enable the port that it is using. + +b. Open your Lightsail instance and head to "Networking". + +c. Then click on "Add rule" under "IPv4 Firewall", enter `5173` as your port, and hit "Create". +Repeat the process for port `7091`. + +#### Access your instance + +Your instance is now available at your Public IP Address on port 5173. Enjoy using DocsGPT! \ No newline at end of file diff --git a/docs/pages/Deploying/Development-Environment.mdx b/docs/pages/Deploying/Development-Environment.mdx new file mode 100644 index 00000000..2852be19 --- /dev/null +++ b/docs/pages/Deploying/Development-Environment.mdx @@ -0,0 +1,163 @@ +--- +title: Setting Up a Development Environment +description: Guide to setting up a development environment for DocsGPT, including backend and frontend setup. +--- + +# Setting Up a Development Environment + +This guide will walk you through setting up a development environment for DocsGPT. This setup allows you to modify and test the application's backend and frontend components. + +## 1. Spin Up MongoDB and Redis + +For development purposes, you can quickly start MongoDB and Redis containers, which are the primary database and caching systems used by DocsGPT. We provide a dedicated Docker Compose file, `docker-compose-dev.yaml`, located in the `deployment` directory, that includes only these essential services. + +You can find the `docker-compose-dev.yaml` file [here](https://github.com/arc53/DocsGPT/blob/main/deployment/docker-compose-dev.yaml). + +**Steps to start MongoDB and Redis:** + +1. Navigate to the root directory of your DocsGPT repository in your terminal. + +2. Run the following commands to build and start the containers defined in `docker-compose-dev.yaml`: + + ```bash + docker compose -f deployment/docker-compose-dev.yaml build + docker compose -f deployment/docker-compose-dev.yaml up -d + ``` + + These commands will start MongoDB and Redis in detached mode, running in the background. + +## 2. Run the Backend + +To run the DocsGPT backend locally, you'll need to set up a Python environment and install the necessary dependencies. + +**Prerequisites:** + +* **Python 3.12:** Ensure you have Python 3.12 installed on your system. You can check your Python version by running `python --version` or `python3 --version` in your terminal. + +**Steps to run the backend:** + +1. **Configure Environment Variables:** + + DocsGPT backend settings are configured using environment variables. You can set these either in a `.env` file or directly in the `settings.py` file. For a comprehensive overview of all settings, please refer to the [DocsGPT Settings Guide](/Deploying/DocsGPT-Settings). + + * **Option 1: Using a `.env` file (Recommended):** + * If you haven't already, create a file named `.env` in the **root directory** of your DocsGPT project. + * Modify the `.env` file to adjust settings as needed. You can find a comprehensive list of configurable options in [`application/core/settings.py`](application/core/settings.py). + + * **Option 2: Exporting Environment Variables:** + * Alternatively, you can export environment variables directly in your terminal. However, using a `.env` file is generally more organized for development. + +2. **Create a Python Virtual Environment (Optional but Recommended):** + + Using a virtual environment isolates project dependencies and avoids conflicts with system-wide Python packages. + + * **macOS and Linux:** + + ```bash + python -m venv venv + . venv/bin/activate + ``` + + * **Windows:** + + ```bash + python -m venv venv + venv/Scripts/activate + ``` + +3. **Download Embedding Model:** + + The backend requires an embedding model. Download the `mpnet-base-v2` model and place it in the `model/` directory within the project root. You can use the following script: + + ```bash + wget https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip + unzip mpnet-base-v2.zip -d model + rm mpnet-base-v2.zip + ``` + + Alternatively, you can manually download the zip file from [here](https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip), unzip it, and place the extracted folder in `model/`. + +4. **Install Backend Dependencies:** + + Navigate to the root of your DocsGPT repository and install the required Python packages: + + ```bash + pip install -r application/requirements.txt + ``` + +5. **Run the Flask App:** + + Start the Flask backend application: + + ```bash + flask --app application/app.py run --host=0.0.0.0 --port=7091 + ``` + + This command will launch the backend server, making it accessible on `http://localhost:7091`. + +6. **Start the Celery Worker:** + + Open a new terminal window (and activate your virtual environment if you used one). Start the Celery worker to handle background tasks: + + ```bash + celery -A application.app.celery worker -l INFO + ``` + + This command will start the Celery worker, which processes tasks such as document parsing and vector embedding. + +**Running in Debugger (VSCode):** + +For easier debugging, you can launch the Flask app and Celery worker directly from VSCode's debugger. + +* Press Shift + Cmd + D (macOS) or Shift + Windows + D (Windows) to open the Run and Debug view. +* You should see configurations named "Flask" and "Celery". Select the desired configuration and click the "Start Debugging" button (green play icon). + +## 3. Start the Frontend + +To run the DocsGPT frontend locally, you'll need Node.js and npm (Node Package Manager). + +**Prerequisites:** + +* **Node.js version 16 or higher:** Ensure you have Node.js version 16 or greater installed. You can check your Node.js version by running `node -v` in your terminal. npm is usually bundled with Node.js. + +**Steps to start the frontend:** + +1. **Navigate to the Frontend Directory:** + + In your terminal, change the current directory to the `frontend` folder within your DocsGPT repository: + + ```bash + cd frontend + ``` + +2. **Install Global Packages (If Needed):** + + If you don't have `husky` and `vite` installed globally, you can install them: + + ```bash + npm install husky -g + npm install vite -g + ``` + You can skip this step if you already have these packages installed or prefer to use local installations (though global installation simplifies running the commands in this guide). + +3. **Install Frontend Dependencies:** + + Install the project's frontend dependencies using npm: + + ```bash + npm install --include=dev + ``` + + This command reads the `package.json` file in the `frontend` directory and installs all listed dependencies, including development dependencies. + +4. **Run the Frontend App:** + + Start the frontend development server: + + ```bash + npm run dev + ``` + + This command will start the Vite development server. The frontend application will typically be accessible at [http://localhost:5173/](http://localhost:5173/). The terminal will display the exact URL where the frontend is running. + +With both the backend and frontend running, you should now have a fully functional DocsGPT development environment. You can access the application in your browser at [http://localhost:5173/](http://localhost:5173/) and start developing! \ No newline at end of file diff --git a/docs/pages/Deploying/Docker-Deploying.mdx b/docs/pages/Deploying/Docker-Deploying.mdx new file mode 100644 index 00000000..382db5fb --- /dev/null +++ b/docs/pages/Deploying/Docker-Deploying.mdx @@ -0,0 +1,135 @@ +--- +title: Docker Deployment of DocsGPT +description: Deploy DocsGPT using Docker and Docker Compose for easy setup and management. +--- + +# Docker Deployment of DocsGPT + +Docker is the recommended method for deploying DocsGPT, providing a consistent and isolated environment for the application to run. This guide will walk you through deploying DocsGPT using Docker and Docker Compose. + +## Prerequisites + +* **Docker Engine:** You need to have Docker Engine installed on your system. + * **macOS:** [Docker Desktop for Mac](https://docs.docker.com/desktop/install/mac-install/) + * **Linux:** [Docker Engine Installation Guide](https://docs.docker.com/engine/install/) (follow instructions for your specific distribution) + * **Windows:** [Docker Desktop for Windows](https://docs.docker.com/desktop/install/windows-install/) (requires WSL 2 backend, see notes below) +* **Docker Compose:** Docker Compose is usually included with Docker Desktop. If you are using Docker Engine separately, ensure you have Docker Compose V2 installed. + +**Important Note for Windows Users:** Docker Desktop on Windows generally requires the WSL 2 backend to function correctly, especially when using features like host networking which are utilized in DocsGPT's Docker Compose setup. Ensure WSL 2 is enabled and configured in Docker Desktop settings. + +## Quickest Setup: Using DocsGPT Public API + +The fastest way to try out DocsGPT is by using the public API endpoint. This requires minimal configuration and no local LLM setup. + +1. **Clone the DocsGPT Repository (if you haven't already):** + + ```bash + git clone https://github.com/arc53/DocsGPT.git + cd DocsGPT + ``` + +2. **Create a `.env` file:** + + In the root directory of your DocsGPT repository, create a file named `.env`. + +3. **Add Public API Configuration to `.env`:** + + Open the `.env` file and add the following lines: + + ``` + LLM_PROVIDER=docsgpt + VITE_API_STREAMING=true + ``` + + This minimal configuration tells DocsGPT to use the public API. For more advanced settings and other LLM options, refer to the [DocsGPT Settings Guide](/Deploying/DocsGPT-Settings). + +4. **Launch DocsGPT with Docker Compose:** + + Navigate to the root directory of the DocsGPT repository in your terminal and run: + + ```bash + docker compose -f deployment/docker-compose.yaml up -d + ``` + + The `-d` flag runs Docker Compose in detached mode (in the background). + +5. **Access DocsGPT in your browser:** + + Once the containers are running, open your web browser and go to [http://localhost:5173/](http://localhost:5173/). + +6. **Stopping DocsGPT:** + + To stop the application, navigate to the same directory in your terminal and run: + + ```bash + docker compose -f deployment/docker-compose.yaml down + ``` + +## Optional Ollama Setup (Local Models) + +DocsGPT provides optional Docker Compose files to easily integrate with [Ollama](https://ollama.com/) for running local models. These files add an official Ollama container to your Docker Compose setup. These files are located in the `deployment/optional/` directory. + +There are two Ollama optional files: + +* **`docker-compose.optional.ollama-cpu.yaml`**: For running Ollama on CPU. +* **`docker-compose.optional.ollama-gpu.yaml`**: For running Ollama on GPU (requires Docker to be configured for GPU usage). + +### Launching with Ollama and Pulling a Model + +1. **Clone the DocsGPT Repository and Create `.env` (as described above).** + +2. **Launch DocsGPT with Ollama Docker Compose:** + + Choose the appropriate Ollama Compose file (CPU or GPU) and launch DocsGPT: + + **CPU:** + ```bash + docker compose --env-file .env -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-cpu.yaml up -d + ``` + **GPU:** + ```bash + docker compose --env-file .env -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-gpu.yaml up -d + ``` + +3. **Pull the Ollama Model:** + + **Crucially, after launching with Ollama, you need to pull the desired model into the Ollama container.** Find the `LLM_NAME` you configured in your `.env` file (e.g., `llama3.2:1b`). Then execute the following command to pull the model *inside* the running Ollama container: + + ```bash + docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-cpu.yaml exec -it ollama ollama pull + ``` + or (for GPU): + ```bash + docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-gpu.yaml exec -it ollama ollama pull + ``` + Replace `` with the actual model name from your `.env` file. + +4. **Access DocsGPT in your browser:** + + Once the model is pulled and containers are running, open your web browser and go to [http://localhost:5173/](http://localhost:5173/). + +5. **Stopping Ollama Setup:** + + To stop a DocsGPT setup launched with Ollama optional files, use `docker compose down` and include all the compose files used during the `up` command: + + ```bash + docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-cpu.yaml down + ``` + or + + ```bash + docker compose -f deployment/docker-compose.yaml -f deployment/optional/docker-compose.optional.ollama-gpu.yaml down + ``` + +**Important for GPU Usage:** + +* **NVIDIA Container Toolkit (for NVIDIA GPUs):** If you are using NVIDIA GPUs, you need to have the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) installed and configured on your system for Docker to access your GPU. +* **Docker GPU Configuration:** Ensure Docker is configured to utilize your GPU. Refer to the [Ollama Docker Hub page](https://hub.docker.com/r/ollama/ollama) and Docker documentation for GPU setup instructions specific to your GPU type (NVIDIA, AMD, Intel). + +## Restarting After Configuration Changes + +Whenever you modify the `.env` file or any Docker Compose files, you need to restart the Docker containers for the changes to be applied. Use the same `docker compose down` and `docker compose up -d` commands you used to launch DocsGPT, ensuring you include all relevant `-f` flags for optional files if you are using them. + +## Further Configuration + +This guide covers the basic Docker deployment of DocsGPT. For detailed information on configuring various aspects of DocsGPT, such as LLM providers, models, vector stores, and more, please refer to the comprehensive [DocsGPT Settings Guide](/Deploying/DocsGPT-Settings). diff --git a/docs/pages/Deploying/DocsGPT-Settings.mdx b/docs/pages/Deploying/DocsGPT-Settings.mdx new file mode 100644 index 00000000..92537934 --- /dev/null +++ b/docs/pages/Deploying/DocsGPT-Settings.mdx @@ -0,0 +1,150 @@ +--- +title: DocsGPT Settings +description: Configure your DocsGPT application by understanding the basic settings. +--- + +# DocsGPT Settings + +DocsGPT is highly configurable, allowing you to tailor it to your specific needs and preferences. You can control various aspects of the application, from choosing the Large Language Model (LLM) provider to selecting embedding models and vector stores. + +This document will guide you through the basic settings you can configure in DocsGPT. These settings determine how DocsGPT interacts with LLMs and processes your data. + +## Configuration Methods + +There are two primary ways to configure DocsGPT settings: + +### 1. Configuration via `.env` file (Recommended) + +The easiest and recommended way to configure basic settings is by using a `.env` file. This file should be located in the **root directory** of your DocsGPT project (the same directory where `setup.sh` is located). + +**Example `.env` file structure:** + +``` +LLM_PROVIDER=openai +API_KEY=YOUR_OPENAI_API_KEY +LLM_NAME=gpt-4o +``` + +### 2. Configuration via `settings.py` file (Advanced) + +For more advanced configurations or if you prefer to manage settings directly in code, you can modify the `settings.py` file. This file is located in the `application/core` directory of your DocsGPT project. + +While modifying `settings.py` offers more flexibility, it's generally recommended to use the `.env` file for basic settings and reserve `settings.py` for more complex adjustments or when you need to configure settings programmatically. + +**Location of `settings.py`:** `application/core/settings.py` + +## Basic Settings Explained + +Here are some of the most fundamental settings you'll likely want to configure: + +- **`LLM_PROVIDER`**: This setting determines which Large Language Model (LLM) provider DocsGPT will use. It tells DocsGPT which API to interact with. + + - **Common values:** + - `docsgpt`: Use the DocsGPT Public API Endpoint (simple and free, as offered in `setup.sh` option 1). + - `openai`: Use OpenAI's API (requires an API key). + - `google`: Use Google's Vertex AI or Gemini models. + - `anthropic`: Use Anthropic's Claude models. + - `groq`: Use Groq's models. + - `huggingface`: Use HuggingFace Inference API. + - `azure_openai`: Use Azure OpenAI Service. + - `openai` (when using local inference engines like Ollama, Llama.cpp, TGI, etc.): This signals DocsGPT to use an OpenAI-compatible API format, even if the actual LLM is running locally. + +- **`LLM_NAME`**: Specifies the specific model to use from the chosen LLM provider. The available models depend on the `LLM_PROVIDER` you've selected. + + - **Examples:** + - For `LLM_PROVIDER=openai`: `gpt-4o` + - For `LLM_PROVIDER=google`: `gemini-2.0-flash` + - For local models (e.g., Ollama): `llama3.2:1b` (or any model name available in your setup). + +- **`EMBEDDINGS_NAME`**: This setting defines which embedding model DocsGPT will use to generate vector embeddings for your documents. Embeddings are numerical representations of text that allow DocsGPT to understand the semantic meaning of your documents for efficient search and retrieval. + + - **Default value:** `huggingface_sentence-transformers/all-mpnet-base-v2` (a good general-purpose embedding model). + - **Other options:** You can explore other embedding models from Hugging Face Sentence Transformers or other providers if needed. + +- **`API_KEY`**: Required for most cloud-based LLM providers. This is your authentication key to access the LLM provider's API. You'll need to obtain this key from your chosen provider's platform. + +- **`OPENAI_BASE_URL`**: Specifically used when `LLM_PROVIDER` is set to `openai` but you are connecting to a local inference engine (like Ollama, Llama.cpp, etc.) that exposes an OpenAI-compatible API. This setting tells DocsGPT where to find your local LLM server. + +## Configuration Examples + +Let's look at some concrete examples of how to configure these settings in your `.env` file. + +### Example for Cloud API Provider (OpenAI) + +To use OpenAI's `gpt-4o` model, you would configure your `.env` file like this: + +``` +LLM_PROVIDER=openai +API_KEY=YOUR_OPENAI_API_KEY # Replace with your actual OpenAI API key +LLM_NAME=gpt-4o +``` + +Make sure to replace `YOUR_OPENAI_API_KEY` with your actual OpenAI API key. + +### Example for Local Deployment + +To use a local Ollama server with the `llama3.2:1b` model, you would configure your `.env` file like this: + +``` +LLM_PROVIDER=openai # Using OpenAI compatible API format for local models +API_KEY=None # API Key is not needed for local Ollama +LLM_NAME=llama3.2:1b +OPENAI_BASE_URL=http://host.docker.internal:11434/v1 # Default Ollama API URL within Docker +EMBEDDINGS_NAME=huggingface_sentence-transformers/all-mpnet-base-v2 # You can also run embeddings locally if needed +``` + +In this case, even though you are using Ollama locally, `LLM_PROVIDER` is set to `openai` because Ollama (and many other local inference engines) are designed to be API-compatible with OpenAI. `OPENAI_BASE_URL` points DocsGPT to the local Ollama server. + +## Authentication Settings + +DocsGPT includes a JWT (JSON Web Token) based authentication feature for managing sessions or securing local deployments while allowing access. + +- **`AUTH_TYPE`**: This setting in your `.env` file or `settings.py` determines the authentication method. + + - **Possible values:** + - `None` (or not set): No authentication is used. + - `simple_jwt`: A single, long-lived JWT token is generated and used for all authenticated requests. This is useful for securing a local deployment with a shared secret. + - `session_jwt`: Unique JWT tokens are generated for sessions, typically for individual users or temporary access. + - If `AUTH_TYPE` is set to `simple_jwt` or `session_jwt`, then a `JWT_SECRET_KEY` is required. +- **`JWT_SECRET_KEY`**: This is a crucial secret key used to sign and verify JWTs. + + - It can be set directly in your `.env` file or `settings.py`. + - **Automatic Key Generation**: If `AUTH_TYPE` is `simple_jwt` or `session_jwt` and `JWT_SECRET_KEY` is _not_ set in your environment variables or `settings.py`, DocsGPT will attempt to: + 1. Read the key from a file named `.jwt_secret_key` in the project's root directory. + 2. If the file doesn't exist, it will generate a new 32-byte random key, save it to `.jwt_secret_key`, and use it for the session. This ensures that the key persists across application restarts. + - **Security Note**: It's vital to keep this key secure. If you set it manually, choose a strong, random string. + +**How it works:** + +- When `AUTH_TYPE` is set to `simple_jwt`, a token is generated at startup (if not already present or configured) and printed to the console. This token should be included in the `Authorization` header of your API requests as a Bearer token (e.g., `Authorization: Bearer YOUR_SIMPLE_JWT_TOKEN`). +- When `AUTH_TYPE` is set to `session_jwt`: + - Clients can request a new token from the `/api/generate_token` endpoint. + - This token should then be included in the `Authorization` header for subsequent requests. +- The backend verifies the JWT token provided in the `Authorization` header for protected routes. +- The `/api/config` endpoint can be used to check the current `auth_type` and whether authentication is required. + +**Frontend Token Input for `simple_jwt`:** + +Frontend prompt for JWT Token + +If you have configured `AUTH_TYPE=simple_jwt`, the DocsGPT frontend will prompt you to enter the JWT token if it's not already set or is invalid. You'll need to paste the `SIMPLE_JWT_TOKEN` (which is printed to your console when the backend starts) into this field to access the application. + +## Exploring More Settings + +These are just the basic settings to get you started. The `settings.py` file contains many more advanced options that you can explore to further customize DocsGPT, such as: + +- Vector store configuration (`VECTOR_STORE`, Qdrant, Milvus, LanceDB settings) +- Retriever settings (`RETRIEVERS_ENABLED`) +- Cache settings (`CACHE_REDIS_URL`) +- And many more! + +For a complete list of available settings and their descriptions, refer to the `settings.py` file in `application/core`. Remember to restart your Docker containers after making changes to your `.env` file or `settings.py` for the changes to take effect. \ No newline at end of file diff --git a/docs/pages/Deploying/Hosting-the-app.mdx b/docs/pages/Deploying/Hosting-the-app.mdx new file mode 100644 index 00000000..4fb72ddd --- /dev/null +++ b/docs/pages/Deploying/Hosting-the-app.mdx @@ -0,0 +1,33 @@ +import { DeploymentCards } from '../../components/DeploymentCards'; + +# Deployment Guides + + diff --git a/docs/pages/Deploying/Kubernetes-Deploying.mdx b/docs/pages/Deploying/Kubernetes-Deploying.mdx new file mode 100644 index 00000000..8f1c8f7a --- /dev/null +++ b/docs/pages/Deploying/Kubernetes-Deploying.mdx @@ -0,0 +1,106 @@ +--- +title: Deploying DocsGPT on Kubernetes +description: Learn how to self-host DocsGPT on a Kubernetes cluster for scalable and robust deployments. +--- + +# Self-hosting DocsGPT + on Kubernetes + +This guide will walk you through deploying DocsGPT on Kubernetes. + +## Prerequisites + +Ensure you have the following installed before proceeding: + +- [kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/) +- Access to a Kubernetes cluster + +## Folder Structure + +The `deployment/k8s` folder contains the necessary deployment and service configuration files: + +- `deployments/` +- `services/` +- `docsgpt-secrets.yaml` + +## Deployment Instructions + +1. **Clone the Repository** + + ```sh + git clone https://github.com/arc53/DocsGPT.git + cd docsgpt/deployment/k8s + ``` + +2. **Configure Secrets (optional)** + + Ensure that you have all the necessary secrets in `docsgpt-secrets.yaml`. Update it with your secrets before applying if you want. By default we will use qdrant as a vectorstore and public docsgpt llm as llm for inference. + +3. **Apply Kubernetes Deployments** + + Deploy your DocsGPT resources using the following commands: + + ```sh + kubectl apply -f deployments/ + ``` + +4. **Apply Kubernetes Services** + + Set up your services using the following commands: + + ```sh + kubectl apply -f services/ + ``` + +5. **Apply Secrets** + + Apply the secret configurations: + + ```sh + kubectl apply -f docsgpt-secrets.yaml + ``` + +6. **Substitute API URL** + + After deploying the services, you need to update the environment variable `VITE_API_HOST` in your deployment file `deployments/docsgpt-deploy.yaml` with the actual endpoint URL created by your `docsgpt-api-service`. + + ```sh + kubectl get services/docsgpt-api-service -o jsonpath='{.status.loadBalancer.ingress[0].ip}' | xargs -I {} sed -i "s||{}|g" deployments/docsgpt-deploy.yaml + ``` + +7. **Rerun Deployment** + + After making the changes, reapply the deployment configuration to update the environment variables: + + ```sh + kubectl apply -f deployments/ + ``` + +## Verifying the Deployment + +To verify if everything is set up correctly, you can run the following: + +```sh +kubectl get pods +kubectl get services +``` + +Ensure that the pods are running and the services are available. + +## Accessing DocsGPT + +To access DocsGPT, you need to find the external IP address of the frontend service. You can do this by running: + +```sh +kubectl get services/docsgpt-frontend-service | awk 'NR>1 {print "http://" $4}' +``` + +## Troubleshooting + +If you encounter any issues, you can check the logs of the pods for more details: + +```sh +kubectl logs +``` + +Replace `` with the actual name of your DocsGPT pod. \ No newline at end of file diff --git a/docs/pages/Deploying/Railway.mdx b/docs/pages/Deploying/Railway.mdx new file mode 100644 index 00000000..89928ab2 --- /dev/null +++ b/docs/pages/Deploying/Railway.mdx @@ -0,0 +1,258 @@ +--- +title: Hosting DocsGPT on Railway +description: Learn how to deploy your own DocsGPT instance on Railway with this step-by-step tutorial +--- + +# Self-hosting DocsGPT on Railway + + + +Here's a step-by-step guide on how to host DocsGPT on Railway App. + + + +At first Clone and set up the project locally to run , test and Modify. + + + +### 1. Clone and GitHub SetUp + +a. Open Terminal (Windows Shell or Git bash(recommended)). + + + +b. Type `git clone https://github.com/arc53/DocsGPT.git` + + + +#### Download the package information + + + +Once it has finished cloning the repository, it is time to download the package information from all sources. To do so, simply enter the following command: + + + +`sudo apt update` + + + +#### Install Docker and Docker Compose + + + +DocsGPT backend and worker use Python, Frontend is written on React and the whole application is containerized using Docker. To install Docker and Docker Compose, enter the following commands: + + + +`sudo apt install docker.io` + + + +And now install docker-compose: + + + +`sudo apt install docker-compose` + + + +#### Access the DocsGPT Folder + + + +Enter the following command to access the folder in which the DocsGPT docker-compose file is present. + + + +`cd DocsGPT/` + + + +#### Prepare the Environment + + + +Inside the DocsGPT folder create a `.env` file and copy the contents of `.env_sample` into it. + + + +`nano .env` + + + +Make sure your `.env` file looks like this: + + + +``` + +OPENAI_API_KEY=(Your OpenAI API key) + +VITE_API_STREAMING=true + +SELF_HOSTED_MODEL=false + +``` + + + +To save the file, press CTRL+X, then Y, and then ENTER. + + + +Next, set the correct IP for the Backend by opening the docker-compose.yaml file: + + + +`nano deployment/docker-compose.yaml` + + + +And Change line 7 to: `VITE_API_HOST=http://localhost:7091` + +to this `VITE_API_HOST=http://:7091` + + + +This will allow the frontend to connect to the backend. + + + +#### Running the Application + + + +You're almost there! Now that all the necessary bits and pieces have been installed, it is time to run the application. To do so, use the following command: + + + +`sudo docker compose -f deployment/docker-compose.yaml up -d` + + + +Launching it for the first time will take a few minutes to download all the necessary dependencies and build. + + + +Once this is done you can go ahead and close the terminal window. + + + +### 2. Pushing it to your own Repository + + + +a. Create a Repository on your GitHub. + + + +b. Open Terminal in the same directory of the Cloned project. + + + +c. Type `git init` + + + +d. `git add .` + + + +e. `git commit -m "first-commit"` + + + +f. `git remote add origin ` + + + +g. `git push git push --set-upstream origin master` + +Your local files will now be pushed to your GitHub Account. :) + + +### 3. Create a Railway Account: + + + +If you haven't already, create or log in to your railway account do it by visiting [Railway](https://railway.app/) + + + +Signup via **GitHub** [Recommended]. + + + +### 4. Start New Project: + + + +a. Open Railway app and Click on "Start New Project." + + + +b. Choose any from the list of options available (Recommended "**Deploy from GitHub Repo**") + + + +c. Choose the required Repository from your GitHub. + + + +d. Configure and allow access to modify your GitHub content from the pop-up window. + + + +e. Agree to all the terms and conditions. + + + +PS: It may take a few minutes for the account setup to complete. + + + +#### You will get A free trial of $5 (use it for trial and then purchase if satisfied and needed) + + + +### 5. Connecting to Your newly Railway app with GitHub + + + +a. Choose DocsGPT repo from the list of your GitHub repository that you want to deploy now. + + + +b. Click on Deploy now. + + + +![Three Tabs will be there](/Railway-selection.png) + + + +c. Select Variables Tab. + + + +d. Upload the env file here that you used for local setup. + + + +e. Go to Settings Tab now. + + + +f. Go to "Networking" and click on Generate Domain Name, to get the URL of your hosted project. + + + +g. You can update the Root directory, build command, installation command as per need. + +*[However recommended not the disturb these options and leave them as default if not that needed.]* + + + + +Your own DocsGPT is now available at the Generated domain URl. :) diff --git a/docs/pages/Deploying/_meta.json b/docs/pages/Deploying/_meta.json new file mode 100644 index 00000000..706300b3 --- /dev/null +++ b/docs/pages/Deploying/_meta.json @@ -0,0 +1,32 @@ +{ + "DocsGPT-Settings": { + "title": "⚙️ App Configuration", + "href": "/Deploying/DocsGPT-Settings" + }, + "Docker-Deploying": { + "title": "🛳️ Docker Setup", + "href": "/Deploying/Docker-Deploying" + }, + "Development-Environment": { + "title": "🛠️Development Environment", + "href": "/Deploying/Development-Environment" + }, + "Kubernetes-Deploying": { + "title": "☸️ Deploying on Kubernetes", + "href": "/Deploying/Kubernetes-Deploying" + }, + "Hosting-the-app": { + "title": "☁️ Hosting DocsGPT", + "href": "/Deploying/Hosting-the-app" + }, + "Amazon-Lightsail": { + "title": "Hosting DocsGPT on Amazon Lightsail", + "href": "/Deploying/Amazon-Lightsail", + "display": "hidden" + }, + "Railway": { + "title": "Hosting DocsGPT on Railway", + "href": "/Deploying/Railway", + "display": "hidden" + } +} \ No newline at end of file diff --git a/docs/pages/Extensions/Chatwoot-extension.mdx b/docs/pages/Extensions/Chatwoot-extension.mdx new file mode 100644 index 00000000..68abc949 --- /dev/null +++ b/docs/pages/Extensions/Chatwoot-extension.mdx @@ -0,0 +1,48 @@ +--- +title: Comprehensive Guide to Setting Up the Chatwoot Extension with DocsGPT +description: This step-by-step guide walks you through the process of setting up the Chatwoot extension with DocsGPT, enabling seamless integration for automated responses and enhanced customer support. Learn how to launch DocsGPT, retrieve your Chatwoot access token, configure the .env file, and start the extension. +--- +## Chatwoot Extension Setup Guide + +### Step 1: Prepare and Start DocsGPT + +- **Launch DocsGPT**: Follow the instructions in our [Quickstart](/quickstart) to start DocsGPT. Make sure to load your documentation. + +### Step 2: Get Access Token from Chatwoot + +- Go to Chatwoot. +- In your profile settings (located at the bottom left), scroll down and copy the **Access Token**. + +### Step 3: Set Up Chatwoot Extension + +- Navigate to `/extensions/chatwoot`. +- Copy the `.env_sample` file and create a new file named `.env`. +- Fill in the values in the `.env` file as follows: + +```env +docsgpt_url= +chatwoot_url= +docsgpt_key= +chatwoot_token= +``` + +### Step 4: Start the Extension + +- Use the command `flask run` to start the extension. + +### Step 5: Optional - Extra Validation + +- In app.py, uncomment lines 12-13 and 71-75. +- Add the following lines to your .env file: +```account_id=(optional) 1 +assignee_id=(optional) 1 +``` +These Chatwoot values help ensure you respond to the correct widget and handle questions assigned to a specific user. + +### Stopping Bot Responses for Specific User or Session + +- If you want the bot to stop responding to questions for a specific user or session, add a label `human-requested` in your conversation. + +### Additional Notes + +- For further details on training on other documentation, refer to our [wiki](https://github.com/arc53/DocsGPT/wiki/How-to-train-on-other-documentation). \ No newline at end of file diff --git a/docs/pages/Extensions/Chrome-extension.mdx b/docs/pages/Extensions/Chrome-extension.mdx new file mode 100644 index 00000000..69b741e6 --- /dev/null +++ b/docs/pages/Extensions/Chrome-extension.mdx @@ -0,0 +1,38 @@ +--- +title: Add DocsGPT Chrome Extension to Your Browser +description: Install the DocsGPT Chrome extension to access AI-powered document assistance directly from your browser for enhanced productivity. +--- + +import {Steps} from 'nextra/components' +import { Callout } from 'nextra/components' + + +## Chrome Extension Setup Guide + +To enhance your DocsGPT experience, you can install the DocsGPT Chrome extension. Here's how: + +### Step 1 + + + +In the DocsGPT GitHub repository, click on the **Code** button and select **Download ZIP**. +### Step 2 +Unzip the downloaded file to a location you can easily access. +### Step 3 +Open the Google Chrome browser and click on the three dots menu (upper right corner). +### Step 4 +Select **More Tools** and then **Extensions**. +### Step 5 +Turn on the **Developer mode** switch in the top right corner of the **Extensions page**. +### Step 6 +Click on the **Load unpacked** button. +### Step 7 +7. Select the **Chrome** folder where the DocsGPT files have been unzipped (docsgpt-main > extensions > chrome). +### Step 8 +The extension should now be added to Google Chrome and can be managed on the Extensions page. +### Step 9 + To disable or remove the extension, simply turn off the toggle switch on the extension card or click the **Remove** button. + + + + diff --git a/docs/pages/Extensions/_meta.json b/docs/pages/Extensions/_meta.json new file mode 100644 index 00000000..2ad7ab0c --- /dev/null +++ b/docs/pages/Extensions/_meta.json @@ -0,0 +1,22 @@ +{ + "api-key-guide": { + "title": "🔑 Getting API key", + "href": "/Extensions/api-key-guide" + }, + "chat-widget": { + "title": "💬️ Chat Widget", + "href": "/Extensions/chat-widget" + }, + "search-widget": { + "title": "🔎 Search Widget", + "href": "/Extensions/search-widget" + }, + "Chrome-extension": { + "title": "🌐 Chrome Extension", + "href": "/Extensions/Chrome-extension" + }, + "Chatwoot-extension": { + "title": "🗣️ Chatwoot Extension", + "href": "/Extensions/Chatwoot-extension" + } +} \ No newline at end of file diff --git a/docs/pages/Extensions/api-key-guide.mdx b/docs/pages/Extensions/api-key-guide.mdx new file mode 100644 index 00000000..f1b83633 --- /dev/null +++ b/docs/pages/Extensions/api-key-guide.mdx @@ -0,0 +1,28 @@ +--- +title: API Keys for DocsGPT Integrations +description: Learn how to obtain, understand, and use DocsGPT API keys to integrate DocsGPT into your external applications and widgets. +--- + +# Guide to DocsGPT API Keys + +DocsGPT API keys are essential for developers and users who wish to integrate the DocsGPT models into external applications, such as [our widget](/Extensions/chat-widget). This guide will walk you through the steps of obtaining an API key, starting from uploading your document to understanding the key variables associated with API keys. + +## Obtaining Your API Key + +After uploading your document, you can obtain an API key either through the graphical user interface or via an API call: + +- **Graphical User Interface:** Navigate to the Settings section of the DocsGPT web app, find the API Keys option, and press 'Create New' to generate your key. +- **API Call:** Alternatively, you can use the `/api/create_api_key` endpoint to create a new API key. For detailed instructions, visit [DocsGPT API Documentation](https://gptcloud.arc53.com/). + +## Understanding Key Variables + +Upon creating your API key, you will encounter several key variables. Each serves a specific purpose: + +- **Name:** Assign a name to your API key for easy identification. +- **Source:** Indicates the source document(s) linked to your API key, which DocsGPT will use to generate responses. +- **ID:** A unique identifier for your API key. You can view this by making a call to `/api/get_api_keys`. +- **Key:** The API key itself, which will be used in your application to authenticate API requests. + +With your API key ready, you can now integrate DocsGPT into your application, such as the DocsGPT Widget or any other software, via `/api/answer` or `/stream` endpoints. The source document is preset with the API key, allowing you to bypass fields like `selectDocs` and `active_docs` during implementation. + +Congratulations on taking the first step towards enhancing your applications with DocsGPT! diff --git a/docs/pages/Extensions/chat-widget.mdx b/docs/pages/Extensions/chat-widget.mdx new file mode 100644 index 00000000..5eae2fc9 --- /dev/null +++ b/docs/pages/Extensions/chat-widget.mdx @@ -0,0 +1,159 @@ +--- +title: Integrate DocsGPT Chat Widget into Your Web Application +description: Embed the DocsGPT Widget in your React, HTML, or Nextra projects to provide AI-powered chat functionality to your users. +--- +import { Tabs } from 'nextra/components' + +# Integrating DocsGPT Chat Widget + +## Introduction + +The DocsGPT Widget is a powerful tool that allows you to integrate AI-driven document assistance directly into your web applications. This guide will walk you through embedding the DocsGPT Widget into your projects, whether you're using React, plain HTML, or Nextra. Enhance your user experience by providing seamless access to intelligent document search and chatbot capabilities. + +Try out the interactive widget showcase and customize its parameters at the [DocsGPT Widget Demo](https://widget.docsgpt.cloud/). + +## Setup + + + +### Installation + +Make sure you have Node.js and npm (or yarn, pnpm) installed in your project. Navigate to your project directory in the terminal and install the `docsgpt` package: + +```bash npm +npm install docsgpt +``` + +### Usage + +In your React component file, import the `DocsGPTWidget` component: + +```js +import { DocsGPTWidget } from "docsgpt"; +``` + +Now, you can embed the widget within your React component's JSX: + +```jsx + +``` + + + +### Installation + +To use the DocsGPT Widget directly in HTML, include the widget script from a CDN in your HTML file: + +```html filename="html" + +``` + +### Usage + +In your HTML ``, add a `
` element where you want to render the widget. Set an `id` for easy targeting. + +```html filename="html" +
+``` + +Then, in a ` +``` + + + + +### Installation + +Make sure you have Node.js and npm (or yarn, pnpm) installed in your project. Navigate to your project directory in the terminal and install the `docsgpt` package: + +```bash npm +npm install docsgpt +``` + +### Usage with Nextra (Next.js + MDX) + +To integrate the DocsGPT Widget into a [Nextra](https://nextra.site/) documentation site (built with Next.js and MDX), create or modify your `pages/_app.js` file as follows: + +```js filename="pages/_app.js" +import { DocsGPTWidget } from "docsgpt"; + +export default function MyApp({ Component, pageProps }) { + return ( + <> + + + + ) +} +``` + + + +--- + +## Properties Table + +The DocsGPT Widget offers a range of customizable properties that allow you to tailor its appearance and behavior to perfectly match your web application. These parameters can be modified directly when embedding the widget in your React components or HTML code. Below is a detailed overview of each available prop: + +| **Prop** | **Type** | **Default Value** | **Description** | +|--------------------|------------------|-------------------------------------------------------------|-----------------------------------------------------------------------------------------------------| +| **`apiHost`** | `string` | `"https://gptcloud.arc53.com"` | **Required.** The URL of your DocsGPT API backend. This endpoint handles vector search and chatbot queries. | +| **`apiKey`** | `string` | `"your-api-key"` | API key for authentication with your DocsGPT API. Leave empty if no authentication is required. | +| **`avatar`** | `string` | [`dino-icon-link`](https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png) | URL for the avatar image displayed in the chatbot interface. | +| **`title`** | `string` | `"Get AI assistance"` | Title text shown in the chatbot header. | +| **`description`** | `string` | `"DocsGPT's AI Chatbot is here to help"` | Sub-title or descriptive text displayed below the title in the chatbot header. | +| **`heroTitle`** | `string` | `"Welcome to DocsGPT !"` | Welcome message displayed when the chatbot is initially opened. | +| **`heroDescription`** | `string` | `"This chatbot is built with DocsGPT and utilises GenAI, please review important information using sources."` | Introductory text providing context or disclaimers about the chatbot. | +| **`theme`** | `"dark" \| "light"` | `"dark"` | Color theme of the widget interface. Options: `"dark"` or `"light"`. Defaults to `"dark"`. | +| **`buttonIcon`** | `string` | `"https://your-icon"` | URL for the icon image used in the widget's launch button. | +| **`buttonBg`** | `string` | `"#222327"` | Background color of the widget's launch button. | +| **`size`** | `"small" \| "medium"` | `"medium"` | Size of the widget. Options: `"small"` or `"medium"`. Defaults to `"medium"`. | +| **`showSources`** | `boolean` | `false` | Enables displaying source URLs for data fetched within the widget. When set to `true`, the widget will show the original sources of the fetched data. | + +--- + +## Notes on Widget Properties + +* **Full Customization:** Every property listed in the table can be customized. Override the defaults to create a widget that perfectly matches your branding and application context. From avatars and titles to color schemes, you have fine-grained control over the widget's presentation. +* **API Key Handling:** The `apiKey` prop is optional. Only include it if your DocsGPT backend API is configured to require API key authentication. `apiHost` for DocsGPT Cloud is `https://gptcloud.arc53.com/` + +## Explore and Customize Further + +The DocsGPT Widget is fully open-source, allowing for deep customization and extension beyond the readily available props. + +The complete source code for the React-based widget is available in the `extensions/react-widget` directory within the main [DocsGPT GitHub Repository](https://github.com/arc53/DocsGPT). Feel free to explore the code, fork the repository, and tailor the widget to your exact requirements. \ No newline at end of file diff --git a/docs/pages/Extensions/search-widget.mdx b/docs/pages/Extensions/search-widget.mdx new file mode 100644 index 00000000..80db407c --- /dev/null +++ b/docs/pages/Extensions/search-widget.mdx @@ -0,0 +1,116 @@ +--- +title: Integrate DocsGPT Search Bar into Your Web Application +description: Embed the DocsGPT Search Bar Widget in your React or HTML projects to provide AI-powered document search functionality to your users. +--- +import { Tabs } from 'nextra/components' + +# Integrating DocsGPT Search Bar Widget + +## Introduction + +The DocsGPT Search Bar Widget offers a simple yet powerful way to embed AI-powered document search directly into your web applications. This widget allows users to perform searches across your documents or pages, enabling them to quickly find the information they need. This guide will walk you through embedding the Search Bar Widget into your projects, whether you're using React or plain HTML. + +Try out the interactive widget showcase and customize its parameters at the [DocsGPT Widget Demo](https://widget.docsgpt.cloud/). + +## Setup + + + +## React Setup + +### Installation + +Make sure you have Node.js and npm (or yarn, pnpm) installed in your project. Navigate to your project directory in the terminal and install the `docsgpt` package: + +```bash npm +npm install docsgpt +``` + +### Usage + +In your React component file, import the `SearchBar` component: + +```js +import { SearchBar } from "docsgpt"; +``` + +Now, you can embed the widget within your React component's JSX: + +```jsx + +``` + + + +### Installation + +To use the DocsGPT Search Bar Widget directly in HTML, include the widget script from a CDN in your HTML file: + +```html filename="html" + +``` + +### Usage + +In your HTML ``, add a `
` element where you want to render the Search Bar Widget. Set an `id` for easy targeting. + +```html filename="html" +
+``` + +Then, in a ` +``` + + + + +--- + +## Properties Table + +The DocsGPT Search Bar Widget offers a range of customizable properties that allow you to tailor its appearance and behavior to perfectly match your web application. These parameters can be modified directly when embedding the widget in your React components or HTML code. Below is a detailed overview of each available prop: + +| **Prop** | **Type** | **Default Value** | **Description** | +|-----------------|-----------|-------------------------------------|--------------------------------------------------------------------------------------------------| +| **`apiKey`** | `string` | `"your-api-key"` | API key for authentication with your DocsGPT API. Leave empty if no authentication is required. | +| **`apiHost`** | `string` | `"https://gptcloud.arc53.com"` | **Required.** The URL of your DocsGPT API backend. This endpoint handles vector similarity search queries. | +| **`theme`** | `"dark" \| "light"` | `"dark"` | Color theme of the search bar. Options: `"dark"` or `"light"`. Defaults to `"dark"`. | +| **`placeholder`** | `string` | `"Search or Ask AI..."` | Placeholder text displayed in the search input field. | +| **`width`** | `string` | `"256px"` | Width of the search bar. Accepts any valid CSS width value (e.g., `"300px"`, `"100%"`, `"20rem"`). | + +--- + +## Notes on Widget Properties + +* **Full Customization:** Every property listed in the table can be customized. Override the defaults to create a Search Bar Widget that perfectly matches your branding and application context. +* **API Key Handling:** The `apiKey` prop is optional. Only include it if your DocsGPT backend API is configured to require API key authentication. `apiHost` for DocsGPT Cloud is `https://gptcloud.arc53.com/` + +## Explore and Customize Further + +The DocsGPT Search Bar Widget is fully open-source, allowing for deep customization and extension beyond the readily available props. + +The complete source code for the React-based widget is available in the `extensions/react-widget` directory within the main [DocsGPT GitHub Repository](https://github.com/arc53/DocsGPT). Feel free to explore the code, fork the repository, and tailor the widget to your exact requirements. \ No newline at end of file diff --git a/docs/pages/Guides/Architecture.mdx b/docs/pages/Guides/Architecture.mdx new file mode 100644 index 00000000..247abda6 --- /dev/null +++ b/docs/pages/Guides/Architecture.mdx @@ -0,0 +1,157 @@ +--- +title: Architecture +description: High-level architecture of DocsGPT +--- + +## Introduction + +DocsGPT is designed as a modular and scalable application for knowledge based GenAI system. This document outlines the high-level architecture of DocsGPT, highlighting its key components. + +## High-Level Architecture + +This diagram provides a bird's-eye view of the DocsGPT architecture, illustrating the main components and their interactions. + +```mermaid +flowchart LR + User["User"] --> Frontend["Frontend (React/Vite)"] + Frontend --> Backend["Backend API (Flask)"] + Backend --> LLM["LLM Integration Layer"] & VectorStore["Vector Stores"] & TaskQueue["Task Queue (Celery)"] & Databases["Databases (MongoDB, Redis)"] + LLM -- Cloud APIs / Local Engines --> InferenceEngine["Inference Engine"] + VectorStore -- Document Embeddings --> Indexes[("Indexes")] + TaskQueue -- Asynchronous Tasks --> DocumentIngestion["Document Ingestion"] + + style Frontend fill:#AA00FF,color:#FFFFFF + style Backend fill:#AA00FF,color:#FFFFFF + style LLM fill:#AA00FF,color:#FFFFFF + style TaskQueue fill:#AA00FF,color:#FFFFFF,stroke:#AA00FF + style DocumentIngestion fill:#AA00FF,color:#FFFFFF,stroke:none +``` + +## Component Descriptions + +### 1. Frontend (React/Vite) + +* **Technology:** Built using React and Vite. +* **Responsibility:** This is the user interface of DocsGPT, providing users with an UI to ask questions and receive answers, configure prompts, tools and other settings. It handles user input, displays conversation history, shows sources, and manages settings. +* **Key Features:** + * Clean and responsive UI. + * Simple static client-side rendering. + * Manages conversation state and settings. + * Communicates with the Backend API for data retrieval and processing. + +### 2. Backend API (Flask) + +* **Technology:** Implemented using Flask (Python). +* **Responsibility:** The Backend API serves as the core logic and orchestration layer of DocsGPT. It receives requests from the Frontend, Extensions or API clients, processes them, and coordinates interactions between different components. +* **Key Features:** + * API endpoints for handling user queries, document uploads, and settings configurations. + * Manages the overall application flow and logic. + * Integrates with the LLM Integration Layer, Vector Stores, Task Queue, Tools, Agents and Databases. + * Provides Swagger documentation for API endpoints. + +### 3. LLM Integration Layer (Part of backend) + +* **Technology:** Supports multiple LLM APIs and local engines. +* **Responsibility:** This layer provides an abstraction for interacting with Large Language Models (LLMs). +* **Key Features:** + * Supports LLMs from OpenAI, Google, Anthropic, Groq, HuggingFace Inference API, Azure OpenAI, also compatable with local models like Ollama, LLaMa.cpp, Text Generation Inference (TGI), SGLang, vLLM, Aphrodite, FriendliAI, and LMDeploy. + * Manages API key handling and request formatting and Tool fromatting. + * Offers caching mechanisms to improve response times and reduce API usage. + * Handles streaming responses for a more interactive user experience. + +### 4. Vector Stores (Part of backend) + +* **Technology:** Supports multiple vector databases. +* **Responsibility:** Vector Stores are used to store and retrieve vector embeddings of document chunks. This enables semantic search and retrieval of relevant document snippets in response to user queries. +* **Key Features:** + * Supports vector databases including FAISS, Elasticsearch, Qdrant, Milvus, and LanceDB. + * Provides storage and indexing of high-dimensional vector embeddings. + * Enables editing and updating of vector indexes including specific chunks. + +### 5. Parser Integration Layer (Part of backend) + +* **Technology:** Supports multiple formats for file processing and remote source uploading. +* **Responsibility:** Parser Integration Layer handles uploading, parsing, chunking, embedding, and indexing documents. +* **Key Features:** + * Supports various document formats (PDF, DOCX, TXT, etc.) and remote sources (web URLs, sitemaps). + * Handles document parsing, text chunking, and embedding generation. + * Utilizes Celery for asynchronous processing, ensuring efficient handling of large documents. + +### 6. Task Queue (Celery) + +* **Technology:** Celery with Redis as broker and backend. +* **Responsibility:** Celery handles asynchronous task processing, for long-running operations such as document ingestion and indexing. This ensures that the main application remains responsive and efficient. +* **Key Features:** + * Manages background tasks for document processing and indexing. + * Improves application responsiveness by offloading heavy tasks. + * Enhances scalability and reliability through distributed task processing. + +### 7. Databases (MongoDB, Redis) + +* **Technology:** MongoDB and Redis. +* **Responsibility:** Databases are used for persistent data storage and caching. MongoDB stores structured data such as conversations, documents, user settings, and API keys. Redis is used as a cache, as well as a message broker for Celery. + +## Request Flow Diagram + +This diagram illustrates the sequence of steps involved when a user submits a question to DocsGPT. + +```mermaid +sequenceDiagram + participant User + participant Frontend + participant BackendAPI + participant LLMIntegrationLayer + participant VectorStores + participant InferenceEngine + + User->>Frontend: User asks a question + Frontend->>BackendAPI: API Request (Question) + BackendAPI->>VectorStores: Fetch relevant document chunks (Similarity Search) + VectorStores-->>BackendAPI: Return document chunks + BackendAPI->>LLMIntegrationLayer: Send question and document chunks + LLMIntegrationLayer->>InferenceEngine: LLM API Request (Prompt + Context) + InferenceEngine-->>LLMIntegrationLayer: LLM API Response (Answer) + LLMIntegrationLayer-->>BackendAPI: Return Answer + BackendAPI->>Frontend: API Response (Answer) + Frontend->>User: Display Answer + + Note over Frontend,BackendAPI: Data flow is simplified for clarity +``` + +## Deployment Architecture + +DocsGPT is designed to be deployed using Docker and Kubernetes, here is a qucik overview of a simple k8s deployment. + +```mermaid +graph LR + subgraph Kubernetes Cluster + subgraph Nodes + subgraph Node 1 + FrontendPod[Frontend Pod] + BackendAPIPod[Backend API Pod] + end + subgraph Node 2 + CeleryWorkerPod[Celery Worker Pod] + RedisPod[Redis Pod] + end + subgraph Node 3 + MongoDBPod[MongoDB Pod] + VectorStorePod[Vector Store Pod] + end + end + LoadBalancer[Load Balancer] --> docsgpt-frontend-service[docsgpt-frontend-service] + LoadBalancer --> docsgpt-api-service[docsgpt-api-service] + docsgpt-frontend-service --> FrontendPod + docsgpt-api-service --> BackendAPIPod + BackendAPIPod --> CeleryWorkerPod + BackendAPIPod --> RedisPod + BackendAPIPod --> MongoDBPod + BackendAPIPod --> VectorStorePod + CeleryWorkerPod --> RedisPod + BackendAPIPod --> InferenceEngine[(Inference Engine)] + VectorStorePod --> Indexes[(Indexes)] + MongoDBPod --> Data[(Data)] + RedisPod --> Cache[(Cache)] + end + User[User] --> LoadBalancer +``` diff --git a/docs/pages/Guides/Customising-prompts.mdx b/docs/pages/Guides/Customising-prompts.mdx new file mode 100644 index 00000000..a0032a00 --- /dev/null +++ b/docs/pages/Guides/Customising-prompts.mdx @@ -0,0 +1,49 @@ +--- +title: Customizing Prompts +description: This guide will explain how to change prompts in DocsGPT and why it might be benefitial. Additionaly this article expains additional variables that can be used in prompts. +--- + +import Image from 'next/image' + +# Customizing the Main Prompt + +Customizing the main prompt for DocsGPT gives you the ability to tailor the AI's responses to your specific requirements. By modifying the prompt text, you can achieve more accurate and relevant answers. Here's how you can do it: + +1. Navigate to `SideBar -> Settings`. + + + + +2.In Settings select the `Active Prompt` now you will be able to see various prompts style.x + + + + +3.Click on the `edit icon` on the prompt of your choice and you will be able to see the current prompt for it,you can now customise the prompt as per your choice. + +### Video Demo +prompts + + + +## Example Prompt Modification + +**Original Prompt:** +```markdown +You are a DocsGPT, friendly and helpful AI assistant by Arc53 that provides help with documents. You give thorough answers with code examples if possible. +Use the following pieces of context to help answer the users question. If it's not relevant to the question, provide friendly responses. +You have access to chat history, and can use it to help answer the question. +When using code examples, use the following format: + +(code) +{summaries} +``` + +Note that `{summaries}` allows model to see and respond to your upploaded documents. If you don't want this functionality you can safely remove it from the customized prompt. + +Feel free to customize the prompt to align it with your specific use case or the kind of responses you want from the AI. For example, you can focus on specific document types, industries, or topics to get more targeted results. + +## Conclusion + +Customizing the main prompt for DocsGPT allows you to tailor the AI's responses to your unique requirements. Whether you need in-depth explanations, code examples, or specific insights, you can achieve it by modifying the main prompt. Remember to experiment and fine-tune your prompts to get the best results. + diff --git a/docs/pages/Guides/How-to-train-on-other-documentation.mdx b/docs/pages/Guides/How-to-train-on-other-documentation.mdx new file mode 100644 index 00000000..4e11d6fa --- /dev/null +++ b/docs/pages/Guides/How-to-train-on-other-documentation.mdx @@ -0,0 +1,48 @@ +--- +title: How to Train on Other Documentation +description: A step-by-step guide on how to effectively train DocsGPT on additional documentation sources. +--- + +import { Callout } from 'nextra/components' +import Image from 'next/image' +import { Steps } from 'nextra/components' + +## How to train on other documentation + +Training on other documentation sources can greatly enhance the versatility and depth of DocsGPT's knowledge. By incorporating diverse materials, you can broaden the AI's understanding and improve its ability to generate insightful responses across a range of topics. Here's a step-by-step guide on how to effectively train DocsGPT on additional documentation sources: + +**Get your document ready**: + +Make sure you have the document on which you want to train on ready with you on the device which you are using .You can also use links to the documentation to train on. + + + Note: The document should be either of the given file formats .pdf, .txt, .rst, .docx, .md, .zip and limited to 25mb.You can also train using the link of the documentation. + + + +### Video Demo + +prompts + + + + +### Step1 +Navigate to the sidebar where you will find `Source Docs` option,here you will find 3 options built in which are default,Web Search and None. + + +### Step 2 +Click on the `Upload icon` just beside the source docs options,now browse and upload the document which you want to train on or select the `remote` option if you have to insert the link of the documentation. + + +### Step 3 +Now you will be able to see the name of the file uploaded under the Uploaded Files ,now click on `Train`,once you click on train it might take some time to train on the document. You will be able to see the `Training progress` and once the training is completed you can click the `finish` button and there you go your document is uploaded. + + +### Step 4 +Go to `New chat` and from the side bar select the document you uploaded under the `Source Docs` and go ahead with your chat, now you can ask questions regarding the document you uploaded and you will get the effective answer based on it. + + + + + diff --git a/docs/pages/Guides/How-to-use-different-LLM.mdx b/docs/pages/Guides/How-to-use-different-LLM.mdx new file mode 100644 index 00000000..217bc690 --- /dev/null +++ b/docs/pages/Guides/How-to-use-different-LLM.mdx @@ -0,0 +1,42 @@ +--- +title: +description: +--- + +import { Callout } from 'nextra/components' +import Image from 'next/image' +import { Steps } from 'nextra/components' + +# Setting Up Local Language Models for Your App + +Setting up local language models for your app can significantly enhance its capabilities, enabling it to understand and generate text in multiple languages without relying on external APIs. By integrating local language models, you can improve privacy, reduce latency, and ensure continuous functionality even in offline environments. Here's a comprehensive guide on how to set up local language models for your application: + +## Steps: +### For cloud version LLM change: + +### Step 1 +Visit the chat screen and you will be to see the default LLM selected. +### Step 2 +Click on it and you will get a drop down of various LLM's available to choose. +### Step 3 +Choose the LLM of your choice. + + + + + + +### Video Demo +prompts + +### For Open source llm change: + +### Step 1 +For open source version please edit `LLM_PROVIDER`, `LLM_NAME` and others in the .env file. Refer to [⚙️ App Configuration](/Deploying/DocsGPT-Settings) for more information. +### Step 2 +Visit [☁️ Cloud Providers](/Models/cloud-providers) for the updated list of online models. Make sure you have the right API_KEY and correct LLM_PROVIDER. +For self-hosted please visit [🖥️ Local Inference](/Models/local-inference). + + + + diff --git a/docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.mdx b/docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.mdx new file mode 100644 index 00000000..318bf41b --- /dev/null +++ b/docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.mdx @@ -0,0 +1,26 @@ +--- +title: +description: +--- + +# Avoiding hallucinations + +If your AI uses external knowledge and is not explicit enough, it is ok, because we try to make DocsGPT friendly. + +But if you want to adjust it, here is a simple way:- + +- Got to `application/prompts/chat_combine_prompt.txt` + +- And change it to + + +``` + +You are a DocsGPT, friendly and helpful AI assistant by Arc53 that provides help with documents. You give thorough answers with code examples, if possible. +Write an answer for the question below based on the provided context. +If the context provides insufficient information, reply "I cannot answer". +You have access to chat history and can use it to help answer the question. +---------------- +{summaries} + +``` diff --git a/docs/pages/Guides/_meta.json b/docs/pages/Guides/_meta.json new file mode 100644 index 00000000..a88202d1 --- /dev/null +++ b/docs/pages/Guides/_meta.json @@ -0,0 +1,24 @@ +{ + "Customising-prompts": { + "title": "️💻 Customising Prompts", + "href": "/Guides/Customising-prompts" + }, + "How-to-train-on-other-documentation": { + "title": "📥 Training on docs", + "href": "/Guides/How-to-train-on-other-documentation" + }, + "How-to-use-different-LLM": { + "title": "️🤖 How to use different LLM's", + "href": "/Guides/How-to-use-different-LLM", + "display": "hidden" + }, + "My-AI-answers-questions-using-external-knowledge": { + "title": "💭️ Avoiding hallucinations", + "href": "/Guides/My-AI-answers-questions-using-external-knowledge", + "display": "hidden" + }, + "Architecture": { + "title": "🏗️ Architecture", + "href": "/Guides/Architecture" + } +} \ No newline at end of file diff --git a/docs/pages/Models/_meta.json b/docs/pages/Models/_meta.json new file mode 100644 index 00000000..d1256cd1 --- /dev/null +++ b/docs/pages/Models/_meta.json @@ -0,0 +1,14 @@ +{ + "cloud-providers": { + "title": "☁️ Cloud Providers", + "href": "/Models/cloud-providers" + }, + "local-inference": { + "title": "🖥️ Local Inference", + "href": "/Models/local-inference" + }, + "embeddings": { + "title": "📝 Embeddings", + "href": "/Models/embeddings" + } +} \ No newline at end of file diff --git a/docs/pages/Models/cloud-providers.mdx b/docs/pages/Models/cloud-providers.mdx new file mode 100644 index 00000000..36e737fa --- /dev/null +++ b/docs/pages/Models/cloud-providers.mdx @@ -0,0 +1,55 @@ +--- +title: Connecting DocsGPT to Cloud LLM Providers +description: Connect DocsGPT to various Cloud Large Language Model (LLM) providers to power your document Q&A. +--- + +# Connecting DocsGPT to Cloud LLM Providers + +DocsGPT is designed to seamlessly integrate with a variety of Cloud Large Language Model (LLM) providers, giving you access to state-of-the-art AI models for document question answering. + +## Configuration via `.env` file + +The primary method for configuring your LLM provider in DocsGPT is through the `.env` file. For a comprehensive understanding of all available settings, please refer to the detailed [DocsGPT Settings Guide](/Deploying/DocsGPT-Settings). + +To connect to a cloud LLM provider, you will typically need to configure the following basic settings in your `.env` file: + +* **`LLM_PROVIDER`**: This setting is essential and identifies the specific cloud provider you wish to use (e.g., `openai`, `google`, `anthropic`). +* **`LLM_NAME`**: Specifies the exact model you want to utilize from your chosen provider (e.g., `gpt-4o`, `gemini-2.0-flash`, `claude-3-5-sonnet-latest`). Refer to your provider's documentation for a list of available models. +* **`API_KEY`**: Almost all cloud LLM providers require an API key for authentication. Obtain your API key from your chosen provider's platform and securely store it in your `.env` file. + +## Explicitly Supported Cloud Providers + +DocsGPT offers direct, streamlined support for the following cloud LLM providers, making configuration straightforward. The table below outlines the `LLM_PROVIDER` and example `LLM_NAME` values to use for each provider in your `.env` file. + +| Provider | `LLM_PROVIDER` | Example `LLM_NAME` | +| :--------------------------- | :------------- | :-------------------------- | +| DocsGPT Public API | `docsgpt` | `None` | +| OpenAI | `openai` | `gpt-4o` | +| Google (Vertex AI, Gemini) | `google` | `gemini-2.0-flash` | +| Anthropic (Claude) | `anthropic` | `claude-3-5-sonnet-latest` | +| Groq | `groq` | `llama-3.1-8b-instant` | +| HuggingFace Inference API | `huggingface` | `meta-llama/Llama-3.1-8B-Instruct` | +| Azure OpenAI | `azure_openai` | `gpt-4o` | + +## Connecting to OpenAI-Compatible Cloud APIs + +DocsGPT's flexible architecture allows you to connect to any cloud provider that offers an API compatible with the OpenAI API standard. This opens up a vast ecosystem of LLM services. + +To connect to an OpenAI-compatible cloud provider, you will still use `LLM_PROVIDER=openai` in your `.env` file. However, you will also need to specify the API endpoint of your chosen provider using the `OPENAI_BASE_URL` setting. You will also likely need to provide an `API_KEY` and `LLM_NAME` as required by that provider. + +**Example for DeepSeek (OpenAI-Compatible API):** + +To connect to DeepSeek, which offers an OpenAI-compatible API, your `.env` file could be configured as follows: + +``` +LLM_PROVIDER=openai +API_KEY=YOUR_API_KEY # Your DeepSeek API key +LLM_NAME=deepseek-chat # Or your desired DeepSeek model name +OPENAI_BASE_URL=https://api.deepseek.com/v1 # DeepSeek's OpenAI API URL +``` + +Remember to consult the documentation of your chosen OpenAI-compatible cloud provider for their specific API endpoint, required model names, and authentication methods. + +## Adding Support for Other Cloud Providers + +If you wish to connect to a cloud provider that is not explicitly listed above or doesn't offer OpenAI API compatibility, you can extend DocsGPT to support it. Within the DocsGPT repository, navigate to the `application/llm` directory. Here, you will find Python files defining the existing LLM integrations. You can use these files as examples to create a new module for your desired cloud provider. After creating your new LLM module, you will need to register it within the `llm_creator.py` file. This process involves some coding, but it allows for virtually unlimited extensibility to connect to any cloud-based LLM service with an accessible API. \ No newline at end of file diff --git a/docs/pages/Models/embeddings.md b/docs/pages/Models/embeddings.md new file mode 100644 index 00000000..68015db7 --- /dev/null +++ b/docs/pages/Models/embeddings.md @@ -0,0 +1,72 @@ +--- +title: Understanding and Configuring Embedding Models in DocsGPT +description: Learn about embedding models, their importance in DocsGPT, and how to configure them for optimal performance. +--- + +# Understanding and Configuring Embedding Models in DocsGPT + +Embedding models are a crucial component of DocsGPT, enabling its powerful document understanding and question-answering capabilities. This guide will explain what embedding models are, why they are essential for DocsGPT, and how to configure them. + +## What are Embedding Models? + +In simple terms, an embedding model is a type of language model that converts text into numerical vectors. These vectors, known as embeddings, capture the semantic meaning of the text. Think of it as translating words and sentences into a language that computers can understand mathematically, where similar meanings are represented by vectors that are close to each other in vector space. + +**Why are embedding models important for DocsGPT?** + +DocsGPT uses embedding models for several key tasks: + +* **Semantic Search:** When you upload documents to DocsGPT, the application uses an embedding model to generate embeddings for each document chunk. These embeddings are stored in a vector store. When you ask a question, your query is also converted into an embedding. DocsGPT then performs a semantic search in the vector store, finding document chunks whose embeddings are most similar to your query embedding. This allows DocsGPT to retrieve relevant information based on the *meaning* of your question and documents, not just keyword matching. +* **Document Understanding:** Embeddings help DocsGPT understand the underlying meaning of your documents, enabling it to answer questions accurately and contextually, even if the exact keywords from your question are not present in the retrieved document chunks. + +In essence, embedding models are the bridge that allows DocsGPT to understand the nuances of human language and connect your questions to the relevant information within your documents. + +## Out-of-the-Box Embedding Model Support in DocsGPT + +DocsGPT is designed to be flexible and supports a wide range of embedding models right out of the box. Currently, DocsGPT provides native support for models from two major sources: + +* **Sentence Transformers:** DocsGPT supports all models available through the [Sentence Transformers library](https://www.sbert.net/). This library offers a vast selection of pre-trained embedding models, known for their quality and efficiency in various semantic tasks. +* **OpenAI Embeddings:** DocsGPT also supports using embedding models from OpenAI, specifically the `text-embedding-ada-002` model, which is a powerful and widely used embedding model from OpenAI's API. + +## Configuring Sentence Transformer Models + +To utilize Sentence Transformer models within DocsGPT, you need to follow these steps: + +1. **Download the Model:** Sentence Transformer models are typically hosted on Hugging Face Model Hub. You need to download your chosen model and place it in the `model/` folder in the root directory of your DocsGPT project. + + For example, to use the `all-mpnet-base-v2` model, you would set `EMBEDDINGS_NAME` as described below, and ensure that the model files are available locally (DocsGPT will attempt to download it if it's not found, but local download is recommended for development and offline use). + +2. **Set `EMBEDDINGS_NAME` in `.env` (or `settings.py`):** You need to configure the `EMBEDDINGS_NAME` setting in your `.env` file (or `settings.py`) to point to the desired Sentence Transformer model. + + * **Using a pre-downloaded model from `model/` folder:** You can specify a path to the downloaded model within the `model/` directory. For instance, if you downloaded `all-mpnet-base-v2` and it's in `model/all-mpnet-base-v2`, you could potentially use a relative path like (though direct path to the model name is usually sufficient): + + ``` + EMBEDDINGS_NAME=huggingface_sentence-transformers/all-mpnet-base-v2 + ``` + or simply use the model identifier: + ``` + EMBEDDINGS_NAME=sentence-transformers/all-mpnet-base-v2 + ``` + + * **Using a model directly from Hugging Face Model Hub:** You can directly specify the model identifier from Hugging Face Model Hub: + + ``` + EMBEDDINGS_NAME=huggingface_sentence-transformers/all-mpnet-base-v2 + ``` + +## Using OpenAI Embeddings + +To use OpenAI's `text-embedding-ada-002` embedding model, you need to set `EMBEDDINGS_NAME` to `openai_text-embedding-ada-002` and ensure you have your OpenAI API key configured correctly via `API_KEY` in your `.env` file (if you are not using Azure OpenAI). + +**Example `.env` configuration for OpenAI Embeddings:** + +``` +LLM_PROVIDER=openai +API_KEY=YOUR_OPENAI_API_KEY # Your OpenAI API Key +EMBEDDINGS_NAME=openai_text-embedding-ada-002 +``` + +## Adding Support for Other Embedding Models + +If you wish to use an embedding model that is not supported out-of-the-box, a good starting point for adding custom embedding model support is to examine the `base.py` file located in the `application/vectorstore` directory. + +Specifically, pay attention to the `EmbeddingsWrapper` and `EmbeddingsSingleton` classes. `EmbeddingsWrapper` provides a way to wrap different embedding model libraries into a consistent interface for DocsGPT. `EmbeddingsSingleton` manages the instantiation and retrieval of embedding model instances. By understanding these classes and the existing embedding model implementations, you can create your own custom integration for virtually any embedding model library you desire. \ No newline at end of file diff --git a/docs/pages/Models/local-inference.mdx b/docs/pages/Models/local-inference.mdx new file mode 100644 index 00000000..0bba907b --- /dev/null +++ b/docs/pages/Models/local-inference.mdx @@ -0,0 +1,44 @@ +--- +title: Connecting DocsGPT to Local Inference Engines +description: Connect DocsGPT to local inference engines for running LLMs directly on your hardware. +--- + +# Connecting DocsGPT to Local Inference Engines + +DocsGPT can be configured to leverage local inference engines, allowing you to run Large Language Models directly on your own infrastructure. This approach offers enhanced privacy and control over your LLM processing. + +Currently, DocsGPT primarily supports local inference engines that are compatible with the OpenAI API format. This means you can connect DocsGPT to various local LLM servers that mimic the OpenAI API structure. + +## Configuration via `.env` file + +Setting up a local inference engine with DocsGPT is configured through environment variables in the `.env` file. For a detailed explanation of all settings, please consult the [DocsGPT Settings Guide](/Deploying/DocsGPT-Settings). + +To connect to a local inference engine, you will generally need to configure these settings in your `.env` file: + +* **`LLM_PROVIDER`**: Crucially set this to `openai`. This tells DocsGPT to use the OpenAI-compatible API format for communication, even though the LLM is local. +* **`LLM_NAME`**: Specify the model name as recognized by your local inference engine. This might be a model identifier or left as `None` if the engine doesn't require explicit model naming in the API request. +* **`OPENAI_BASE_URL`**: This is essential. Set this to the base URL of your local inference engine's API endpoint. This tells DocsGPT where to find your local LLM server. +* **`API_KEY`**: Generally, for local inference engines, you can set `API_KEY=None` as authentication is usually not required in local setups. + +## Supported Local Inference Engines (OpenAI API Compatible) + +DocsGPT is readily configurable to work with the following local inference engines, all communicating via the OpenAI API format. Here are example `OPENAI_BASE_URL` values for each, based on default setups: + +| Inference Engine | `LLM_PROVIDER` | `OPENAI_BASE_URL` | +| :---------------------------- | :------------- | :------------------------- | +| LLaMa.cpp | `openai` | `http://localhost:8000/v1` | +| Ollama | `openai` | `http://localhost:11434/v1` | +| Text Generation Inference (TGI)| `openai` | `http://localhost:8080/v1` | +| SGLang | `openai` | `http://localhost:30000/v1` | +| vLLM | `openai` | `http://localhost:8000/v1` | +| Aphrodite | `openai` | `http://localhost:2242/v1` | +| FriendliAI | `openai` | `http://localhost:8997/v1` | +| LMDeploy | `openai` | `http://localhost:23333/v1` | + +**Important Note on `localhost` vs `host.docker.internal`:** + +The `OPENAI_BASE_URL` examples above use `http://localhost`. If you are running DocsGPT within Docker and your local inference engine is running on your host machine (outside of Docker), you will likely need to replace `localhost` with `http://host.docker.internal` to ensure Docker can correctly access your host's services. For example, `http://host.docker.internal:11434/v1` for Ollama. + +## Adding Support for Other Local Engines + +While DocsGPT currently focuses on OpenAI API compatible local engines, you can extend its capabilities to support other local inference solutions. To do this, navigate to the `application/llm` directory in the DocsGPT repository. Examine the existing Python files for examples of LLM integrations. You can create a new module for your desired local engine, and then register it in the `llm_creator.py` file within the same directory. This allows for custom integration with a wide range of local LLM servers beyond those listed above. \ No newline at end of file diff --git a/docs/pages/Tools/_meta.json b/docs/pages/Tools/_meta.json new file mode 100644 index 00000000..2f58d116 --- /dev/null +++ b/docs/pages/Tools/_meta.json @@ -0,0 +1,14 @@ +{ + "basics": { + "title": "🔧 Tools Basics", + "href": "/Tools/basics" + }, + "api-tool": { + "title": "🗝️ API Tool", + "href": "/Tools/api-tool" + }, + "creating-a-tool": { + "title": "🛠️ Creating a Custom Tool", + "href": "/Tools/creating-a-tool" + } +} \ No newline at end of file diff --git a/docs/pages/Tools/api-tool.mdx b/docs/pages/Tools/api-tool.mdx new file mode 100644 index 00000000..dd7ee4cb --- /dev/null +++ b/docs/pages/Tools/api-tool.mdx @@ -0,0 +1,153 @@ +--- +title: 🗝️ Generic API Tool +description: Learn how to configure and use the API Tool in DocsGPT to connect with any RESTful API without writing custom code. +--- + +import { Callout } from 'nextra/components'; +import Image from 'next/image'; + +# Using the Generic API Tool + +The API Tool provides a no-code/low-code solution to make DocsGPT interact with third-party or internal RESTful APIs. It acts as a bridge, allowing the Large Language Model (LLM) to leverage external services based on your chat interactions. + This guide will walk you through its capabilities, configuration, and best practices. + +## Introduction to the Generic API Tool + +**When to Use It:** + * Ideal for quickly integrating existing APIs where the interaction involves standard HTTP requests (GET, POST, PUT, DELETE). + * Suitable for fetching data to enrich answers (e.g., current weather, stock prices, product details). + * Useful for triggering simple actions in other systems (e.g., sending a notification, creating a basic task). + +**Contrast with Custom Python Tools:** + * **API Tool:** Best for straightforward API calls. Configuration is done through the DocsGPT UI. + * **Custom Python Tools:** Preferable when you need complex logic before or after the API call, handle non-standard authentication (like complex OAuth flows), manage multi-step API interactions, or require intricate data processing not easily managed by the LLM alone. See [Creating a Custom Tool](/Tools/creating-a-tool) for more. + +## Capabilities of the API Tool + +**Supported HTTP Methods:** You can configure actions using standard HTTP methods such as: + * `GET`: To retrieve data. + * `POST`: To submit data to create a new resource. + * `PUT`: To update an existing resource. + * `DELETE`: To remove a resource. + +**Request Configuration:** + * **Headers:** Define static or dynamic HTTP headers for authentication (e.g., API keys), content type specification, etc. + * **Query Parameters:** Specify URL query parameters, which can be static or dynamically filled by the LLM based on user input. + * **Request Body:** Define the structure of the request body (e.g., JSON), with fields that can be static or dynamically populated by the LLM. + +**Response Handling:** + * The API Tool executes the request and receives the raw response from the API (typically JSON or plain text). + * This raw response is then passed back to the LLM. + * The LLM uses this response, along with the context of your query and the description of the API tool action, to formulate an answer or decide on follow-up actions. The API tool itself doesn't deeply parse or transform the response beyond basic content type detection (e.g., loading JSON into a parsable object). + +## Configuring an API as a Tool + +You can configure the API Tool through the DocsGPT user interface, found in **Settings -> Tools**. When you add or modify an API Tool, you'll define specific actions that DocsGPT can perform. + + + The configuration involves defining how DocsGPT should call an API endpoint. Each configured API call essentially becomes a distinct "action" the LLM can choose to use. + + +Below is an example of how you might configure an API action, inspired by setting up a phone number validation service: + +API Tool configuration example for phone validation +_Figure 1: Example configuration for an API Tool action to validate phone numbers._ + +**Defining an API Endpoint/Action:** + +When you configure a new API action, you'll fill in the following fields: + +- **`Name`:** A user-friendly name for this specific API action (e.g., "Phone-check" as in the image, or more specific like "ValidateUSPhoneNumber"). This helps in managing your tools. +- **`Description`:** This is a **critical field**. Provide a clear and concise description of what the API action does, what kind of input it expects (implicitly), and what kind of output it provides. The LLM uses this description to understand when and how to use this action. +- **`URL`:** The full endpoint URL for the API request. +- **`HTTP Method`:** Select the appropriate HTTP method (e.g., GET, POST) from a dropdown. +- **`Headers`:** You can add custom HTTP headers as key-value pairs (Name, Value). Indicate if the value should be `Filled by LLM` or is static. If filled by LLM, provide a `Description` for the LLM. + +- **`Query Parameters`:** For `GET` requests or when parameters are sent in the URL. + * **`Name`:** The name of the query parameter (e.g., `api_key`, `phone`). + * **`Type`:** The data type of the parameter (e.g., `string`). + * **`Filled by LLM` (Checkbox):** + - **Unchecked (Static):** The `Value` you provide will be used for every call (e.g., for an `api_key` that doesn't change). + - **Checked (Dynamic):** The LLM will extract the appropriate value from the user's chat query based on the `Description` you provide for this parameter. The `Value` field is typically left empty or contains a placeholder if `Filled by LLM` is checked. + * `Description`: Context for the LLM if the parameter is to be filled dynamically, or for your own reference if static. + * `Value`: The static value if not filled by LLM. + +- **`Request Body`:** Used to send data (commonly JSON) to the API. Similar to Query Parameters, you define fields with `Name`, `Type`, whether it's `Filled by LLM`, a `Description` for dynamic fields, and a static `Value` if applicable. + +**Response Handling Guidance for the LLM:** + +While the API Tool configuration UI doesn't have explicit fields for defining response parsing rules (like JSONPath extractors), you significantly influence how the LLM handles the response through: + * **Tool Action `Description`:** Clearly state what kind of information the API returns (e.g., "This API returns a JSON object with 'status' and 'location' fields for the phone number."). This helps the LLM know what to look for in the API's output. + * **Prompt Engineering:** For more complex scenarios, you might need to adjust your global or agent-specific prompts to guide DocsGPT on how to interpret and present information from API tool responses. See [Customising Prompts](/Guides/Customising-prompts). + +## Using the Configured API Tool in Chat + +Once an API action is configured and enabled, DocsGPT's LLM can decide to use it based on your natural language queries. + +**Example (based on the phone validation tool in Figure 1):** + +1. **User Query:** "Hey DocsGPT, can you check if +14155555555 is a valid phone number?" + +2. **DocsGPT (LLM Orchestration):** + * The LLM analyzes the query. + * It matches the intent ("check if ... is a valid phone number") with the description of the "Phone-check" API action. + * It identifies `+14155555555` as the value for the `phone` parameter (which was marked as `Filled by LLM` with the description "Phone number to check"). + * DocsGPT constructs the GET API request. +3. **API Tool Execution:** + * The API Tool makes the HTTP GET request. + * The external API (AbstractAPI) processes the request and returns a JSON response, e.g.: + ```json + { + "phone": "+14155555555", + "valid": true, + "format": { + "international": "+1 415-555-5555", + "national": "(415) 555-5555" + }, + "country": { + "code": "US", + "name": "United States", + "prefix": "+1" + }, + "location": "California", + "type": "Landline" + } + ``` + +4. **DocsGPT Response Formulation:** + * The API Tool passes this JSON response back to the LLM. + * The LLM, guided by the tool's description and the user's original query, extracts relevant information and formulates a user-friendly answer. + * **DocsGPT Chat Response:** "Yes, +14155555555 appears to be a valid landline phone number in California, United States." + +## Advanced Tips and Best Practices + +**Clear Description is the Key:** The LLM relies heavily on the `Description` field of the API action and its parameters. Make them unambiguous and action-oriented. Clearly state what the tool does and what kind of input it expects (even if implicitly through parameter descriptions). + +**Iterative Testing:** After configuring an API tool, test it with various phrasings of user queries to ensure the LLM triggers it correctly and interprets the response as expected. + +**Error Handling:** + * If an API call fails, the API Tool will return an error message and status code from the `requests` library or the API itself. The LLM may relay this error or try to explain it. + * Check DocsGPT's backend logs for more detailed error information if you encounter issues. + +**Security Considerations:** + * **API Keys:** Be mindful of API keys and other sensitive credentials. The example image shows an API key directly in the configuration. For production or shared environments avoid exposing configurations with sensitive keys. + * **Rate Limits:** Be aware of the rate limits of the APIs you are integrating. Frequent calls from DocsGPT could exceed these limits. + * **Data Privacy:** Consider the data privacy implications of sending user query data to third-party APIs. +- **Idempotency:** For tools that modify data (POST, PUT, DELETE), be aware of whether the API operations are idempotent to avoid unintended consequences from repeated calls if the LLM retries an action. + +## Limitations + +While powerful, the Generic API Tool has some limitations: + +- **Complex Authentication:** Advanced authentication flows like OAuth 2.0 (especially 3-legged OAuth requiring user redirection) or custom signature-based authentication often require custom Python tools. +- **Multi-Step API Interactions:** If a task requires multiple API calls that depend on each other (e.g., fetch a list, then for each item, fetch details), this kind of complex chaining and logic is better handled by a custom Python tool. +- **Complex Data Transformations:** If the API response needs significant transformation or processing before being useful to the LLM, a custom Python tool offers more flexibility. +- **Real-time Streaming (SSE, WebSockets):** The tool is designed for request-response interactions, not for maintaining persistent streaming connections. + +For scenarios that exceed these limitations, developing a [Custom Python Tool](/Tools/creating-a-tool) is the recommended approach. \ No newline at end of file diff --git a/docs/pages/Tools/basics.mdx b/docs/pages/Tools/basics.mdx new file mode 100644 index 00000000..66ef2e71 --- /dev/null +++ b/docs/pages/Tools/basics.mdx @@ -0,0 +1,92 @@ +--- +title: Tools Basics - Enhancing DocsGPT Capabilities +description: Understand what DocsGPT Tools are, how they work, and explore the built-in tools available to extend DocsGPT's functionality. +--- + +import { Callout } from 'nextra/components'; +import Image from 'next/image'; +import { ToolCards } from '../../components/ToolCards'; + +# Understanding DocsGPT Tools + +DocsGPT Tools are powerful extensions that significantly enhance the capabilities of your DocsGPT application. +They allow DocsGPT to move beyond its core function of retrieving information from your documents and enable it to perform actions, +interact with external data sources, and integrate with other services. You can find and configure available tools within +the "Tools" section of the DocsGPT application settings in the user interface. + +## What are Tools? + +- **Purpose:** The primary purpose of Tools is to bridge the gap between understanding a user's request (natural language processing by the LLM) and executing a tangible action. This could involve fetching live data from the web, sending notifications, running code snippets, querying databases, or interacting with third-party APIs. + +- **LLM as an Orchestrator:** The Large Language Model (LLM) at the heart of DocsGPT is designed to act as an intelligent orchestrator. Based on your query and the declared capabilities of the available tools (defined in their metadata), the LLM decides if a tool is needed, which tool to use, and what parameters to pass to it. + +- **Action-Oriented Interactions:** Tools enable more dynamic and action-oriented interactions. For example: + * *"What's the latest news on renewable energy?"* - This might trigger a web search tool to fetch current articles. + * *"Fetch the order status for customer ID 12345 from our database."* - This could use a database tool. + * *"Summarize the content of this webpage and send the summary to the #general channel on Telegram."* - This might involve a web scraping tool followed by a Telegram notification tool. + +## Overview of Built-in Tools + +DocsGPT includes a suite of pre-built tools designed to expand its capabilities out-of-the-box. Below is an overview of the currently available tools. + + + +## Using Tools in DocsGPT (User Perspective) + +Interacting with tools in DocsGPT is designed to be intuitive: + +1. **Natural Language Interaction:** As a user, you typically interact with DocsGPT using natural language queries or commands. The LLM within DocsGPT analyzes your input to determine if a specific task can or should be handled by one of the available and configured tools. + +2. **Configuration in UI:** + * Tools are generally managed and configured within the DocsGPT application's settings, found under a "Tools" section in the GUI. + * For tools that interact with external services (like Brave Search, Telegram, or any service via the API Tool), you might need to provide authentication credentials (e.g., API keys, tokens) or specific endpoint information during the tool's setup in the UI. + +3. **Prompt Engineering for Tools:** While the LLM aims to intelligently use tools, for more complex or reliable agent-like behaviors, you might need to customize the system prompts. Modifying the prompt can guide the LLM on when and how to prioritize or chain tools to achieve specific outcomes, especially if you're building an agent designed to perform a certain sequence of actions every time. For more on this, see [Customising Prompts](/Guides/Customising-prompts). + +## Advancing with Tools + +Understanding the basics of DocsGPT Tools opens up many possibilities: + +* **Leverage the API Tool:** For quick integrations with numerous external services, explore the [API Tool Detailed Guide](/Tools/api-tool). +* **Develop Custom Tools:** If you have specific needs not covered by built-in tools or the generic API tool, you can develop your own. See our guide on `[Developing Custom Tools](/Tools/creating-a-tool)` (placeholder for now). +* **Build AI Agents:** Tools are the fundamental building blocks for creating sophisticated AI agents within DocsGPT. Explore how these can be combined by looking into the `[Agents section/tab concept - link to be added once available]`. + +By harnessing the power of Tools, you can transform DocsGPT into a more versatile and proactive assistant tailored to your unique workflows. \ No newline at end of file diff --git a/docs/pages/Tools/creating-a-tool.mdx b/docs/pages/Tools/creating-a-tool.mdx new file mode 100644 index 00000000..30c75c5c --- /dev/null +++ b/docs/pages/Tools/creating-a-tool.mdx @@ -0,0 +1,186 @@ +--- +title: 🛠️ Creating a Custom Tool +description: Learn how to create custom Python tools to extend DocsGPT's functionality and integrate with various services or perform specific actions. +--- + +import { Callout } from 'nextra/components'; +import { Steps } from 'nextra/components'; + +# 🛠️ Creating a Custom Python Tool + +This guide provides developers with a comprehensive, step-by-step approach to creating their own custom tools for DocsGPT. By developing custom tools, you can significantly extend DocsGPT's capabilities, enabling it to interact with new data sources, services, and perform specialized actions tailored to your unique needs. + +## Introduction to Custom Tool Development + +### Why Create Custom Tools? + +While DocsGPT offers a range of built-in tools and a versatile API Tool, there are many scenarios where a custom Python tool is the best solution: + +* **Integrating with Proprietary Systems:** Connect to internal APIs, databases, or services that are not publicly accessible or require complex authentication. +* **Adding Domain-Specific Functionalities:** Implement logic specific to your industry or use case that isn't covered by general-purpose tools. +* **Automating Unique Workflows:** Create tools that orchestrate multiple steps or interact with systems in a way unique to your operational needs. +* **Connecting to Any System with an Accessible Interface:** If you can interact with a system programmatically using Python (e.g., through libraries, SDKs, or direct HTTP requests), you can likely build a DocsGPT tool for it. +* **Complex Logic or Data Transformation:** When API interactions require intricate logic before sending a request or after receiving a response, or when data needs significant transformation that is difficult for an LLM to handle directly. + +### Prerequisites + +Before you begin, ensure you have: + +* A solid understanding of Python programming. +* Familiarity with the DocsGPT project structure, particularly the `application/agents/tools/` directory where custom tools reside. +* Basic knowledge of how APIs work, as many tools involve interacting with external or internal APIs. +* Your DocsGPT development environment set up. If not, please refer to the [Setting Up a Development Environment](/Deploying/Development-Environment) guide. + +## The Anatomy of a DocsGPT Tool + +Custom tools in DocsGPT are Python classes that inherit from a base `Tool` class and implement specific methods to define their behavior, capabilities, and configuration needs. + +The **foundation** for all custom tools is the abstract base class, located in `application/agents/tools/base.py`. Your custom tool class **must** inherit from this class. + +### Essential Methods to Implement + +Your custom tool class needs to implement the following methods: + +1. **`__init__(self, config: dict)`** + + - **Purpose:** The constructor for your tool. It's called when DocsGPT initializes the tool. + - **Usage:** This method is typically used to receive and store tool-specific configurations passed via the `config` dictionary. This dictionary is populated based on the tool's settings, often configured through the DocsGPT UI or environment variables. For example, you would store API keys, base URLs, or database connection strings here. + - **Example** (`brave.py`)**:** + ``` python + class BraveSearchTool(Tool): + def __init__(self, config): + self.config = config + self.token = config.get("token", "") # API Key for Brave Search + self.base_url = "https://api.search.brave.com/res/v1" + ``` + +2. **`execute_action(self, action_name: str, **kwargs) -> dict`** + + - **Purpose:** This is the workhorse of your tool. The LLM, acting as an agent, calls this method when it decides to use one of the actions your tool provides. + - **Parameters:** + - `action_name` (str): A string specifying which of the tool's actions to run (e.g., "brave_web_search"). + - `**kwargs` (dict): A dictionary containing the parameters for that specific action. These parameters are defined in the tool's metadata (`get_actions_metadata()`) and are extracted or inferred by the LLM from the user's query. + - **Return Value:** A dictionary containing the result of the action. It's good practice to include keys like: + - `status_code` (int): An HTTP-like status code (e.g., 200 for success, 500 for error). + - `message` (str): A human-readable message describing the outcome. + - `data` (any): The actual data payload returned by the action (if applicable). + - `error` (str): An error message if the action failed. + - **Example (`read_webpage.py`):** + + ``` python + def execute_action(self, action_name: str, **kwargs) -> str: + if action_name != "read_webpage": + return f"Error: Unknown action '{action_name}'. This tool only supports 'read_webpage'." + + url = kwargs.get("url") + if not url: + return "Error: URL parameter is missing." + # ... (logic to fetch and parse webpage) ... + try: + # ... + return markdown_content + except Exception as e: + return f"Error processing URL {url}: {e}" + ``` + + A more structured return: + + ``` python + # ... inside execute_action + try: + # ... logic ... + return {"status_code": 200, "message": "Webpage read successfully", "data": markdown_content} + except Exception as e: + return {"status_code": 500, "message": f"Error processing URL {url}", "error": str(e)} + ``` + +3. **`get_actions_metadata(self) -> list`** + + - **Purpose:** This method is **critical** for the LLM to understand what your tool can do, when to use it, and what parameters it needs. It effectively advertises your tool's capabilities. + - **Return Value:** A list of dictionaries. Each dictionary describes one distinct action the tool can perform and must follow a specific JSON schema structure. + - `name` (str): A unique and descriptive name for the action (e.g., `mytool_get_user_details`). It's a common convention to prefix with the tool name to avoid collisions. + - `description` (str): A clear, concise, and unambiguous description of what the action does. **Write this for the LLM.** The LLM uses this description to decide if this action is appropriate for a given user query. + - `parameters` (dict): A JSON Schema object defining the parameters that the action expects. This schema tells the LLM what arguments are needed, their types, and which are required. + - `type`: Should always be `"object"`. + - `properties`: A dictionary where each key is a parameter name, and the value is an object defining its `type` (e.g., "string", "integer", "boolean") and `description`. + - `required`: A list of strings, where each string is the name of a parameter that is mandatory for the action. + - **Example (`postgres.py` - partial):** + + ``` python + def get_actions_metadata(self): + return [ + { + "name": "postgres_execute_sql", + "description": "Execute an SQL query against the PostgreSQL database...", + "parameters": { + "type": "object", + "properties": { + "sql_query": { + "type": "string", + "description": "The SQL query to execute.", + }, + }, + "required": ["sql_query"], + "additionalProperties": False, # Good practice to prevent unexpected params + }, + }, + # ... other actions like postgres_get_schema + ] + ``` + +4. **`get_config_requirements(self) -> dict`** + + - **Purpose:** Defines the configuration parameters that your tool needs to function (e.g., API keys, specific base URLs, connection strings, default settings). This information can be used by the DocsGPT UI to dynamically render configuration fields for your tool or for validation. + - **Return Value:** A dictionary where keys are the configuration item names (which will be keys in the `config` dict passed to `__init__`) and values are dictionaries describing each requirement: + - `type` (str): The expected data type of the config value (e.g., "string", "boolean", "integer"). + - `description` (str): A human-readable description of what this configuration item is for. + - `secret` (bool, optional): Set to `True` if the value is sensitive (e.g., an API key) and should be masked or handled specially in UIs. Defaults to `False`. + - **Example (`brave.py`):** + + ``` python + def get_config_requirements(self): + return { + "token": { # This 'token' will be a key in the config dict for __init__ + "type": "string", + "description": "Brave Search API key for authentication", + "secret": True + }, + } + ``` + +## Tool Registration and Discovery + +DocsGPT's ToolManager (located in application/agents/tools/tool_manager.py) automatically discovers and loads tools. + +As long as your custom tool: + +1. Is placed in a Python file within the `application/agents/tools/` directory (and the filename is not `base.py` or starts with `__`). +2. Correctly inherits from the `Tool` base class. +3. Implements all the abstract methods (`execute_action`, `get_actions_metadata`, `get_config_requirements`). + +The `ToolManager` should be able to load it when DocsGPT starts. + +## Configuration & Secrets Management + +- **Configuration Source:** The `config` dictionary passed to your tool's `__init__` method is typically populated from settings defined in the DocsGPT UI (if available for the tool) or from environment variables/configuration files that DocsGPT loads (see [⚙️ App Configuration](/Deploying/DocsGPT-Settings)). The keys in this dictionary should match the names you define in `get_config_requirements()`. +- **Secrets:** Never hardcode secrets (like API keys or passwords) directly into your tool's Python code. Instead, define them as configuration requirements (using `secret: True` in `get_config_requirements()`) and let DocsGPT's configuration system inject them via the `config` dictionary at runtime. This ensures that secrets are managed securely and are not exposed in your codebase. + +## Best Practices for Tool Development + +- **Atomicity:** Design tool actions to be as atomic (single, well-defined purpose) as possible. This makes them easier for the LLM to understand and combine. +- **Clarity in Metadata:** Ensure action names and descriptions in `get_actions_metadata()` are extremely clear, specific, and unambiguous. This is the primary way the LLM understands your tool. +- **Robust Error Handling:** Implement comprehensive error handling within your `execute_action` logic (and the private methods it calls). Return informative error messages in the result dictionary so the LLM or user can understand what went wrong. +- **Security:** + - Be mindful of the security implications of your tool, especially if it interacts with sensitive systems or can execute arbitrary code/queries. + - Validate and sanitize any inputs, especially if they are used to construct database queries or shell commands, to prevent injection attacks. +- **Performance:** Consider the performance implications of your tool's actions. If an action is slow, it will impact the user experience. Optimize where possible. + +## (Optional) Contributing Your Tool + +If you develop a custom tool that you believe could be valuable to the broader DocsGPT community and is general-purpose: + +1. Ensure it's well-documented (both in code and with clear metadata). +2. Make sure it adheres to the best practices outlined above. +3. Consider opening a Pull Request to the [DocsGPT GitHub repository](https://github.com/arc53/DocsGPT) with your new tool, including any necessary documentation updates. + +By following this guide, you can create powerful custom tools that extend DocsGPT's capabilities to your specific operational environment. \ No newline at end of file diff --git a/docs/pages/_app.mdx b/docs/pages/_app.mdx new file mode 100644 index 00000000..52ff477a --- /dev/null +++ b/docs/pages/_app.mdx @@ -0,0 +1,10 @@ +import { DocsGPTWidget } from "docsgpt-react"; + +export default function MyApp({ Component, pageProps }) { + return ( + <> + + + + ) +} diff --git a/docs/pages/_meta.json b/docs/pages/_meta.json new file mode 100644 index 00000000..37202830 --- /dev/null +++ b/docs/pages/_meta.json @@ -0,0 +1,20 @@ + +{ + "index": "Home", + "quickstart": "Quickstart", + "Deploying": "Deploying", + "Models": "Models", + "Tools": "Tools", + "Agents": "Agents", + "Extensions": "Extensions", + "https://gptcloud.arc53.com/": { + "title": "API", + "href": "https://gptcloud.arc53.com/", + "newWindow": true + }, + "Guides": "Guides", + "changelog": { + "title": "Changelog", + "display": "hidden" + } +} \ No newline at end of file diff --git a/docs/pages/changelog.mdx b/docs/pages/changelog.mdx new file mode 100644 index 00000000..504854f3 --- /dev/null +++ b/docs/pages/changelog.mdx @@ -0,0 +1,3 @@ +--- +title: 'Changelog' +--- \ No newline at end of file diff --git a/docs/pages/index.mdx b/docs/pages/index.mdx new file mode 100644 index 00000000..1163f0a6 --- /dev/null +++ b/docs/pages/index.mdx @@ -0,0 +1,94 @@ +--- +title: 'Home' +description: Documentation of DocsGPT - quickstart, deployment guides, model configuration, and widget integration documentation. +--- +import { Cards, Card } from 'nextra/components' +import Image from 'next/image' + +export const allGuides = { + "quickstart": { + "title": "⚡️ Quickstart", + "href": "/quickstart" + }, + "DocsGPT-Settings": { + "title": "⚙️ App Configuration", + "href": "/Deploying/DocsGPT-Settings" + }, + "Docker-Deploying": { + "title": "🛳️ Docker Setup", + "href": "/Deploying/Docker-Deploying" + }, + "Development-Environment": { + "title": "🛠️Development Environment", + "href": "/Deploying/Development-Environment" + }, + "https://gptcloud.arc53.com/": { + "title": "🧑‍💻️ API", + "href": "https://gptcloud.arc53.com/", + "newWindow": true + }, + "cloud-providers": { + "title": "☁️ Cloud Providers", + "href": "/Models/cloud-providers" + }, + "local-inference": { + "title": "🖥️ Local Inference", + "href": "/Models/local-inference" + }, + "embeddings": { + "title": "📝 Embeddings", + "href": "/Models/embeddings" + }, + "api-key-guide": { + "title": "🔑 Getting API key", + "href": "/Extensions/api-key-guide" + }, + "chat-widget": { + "title": "💬️ Chat Widget", + "href": "/Extensions/chat-widget" + }, + "search-widget": { + "title": "🔎 Search Widget", + "href": "/Extensions/search-widget" + }, + "Customising-prompts": { + "title": "️💻 Customising Prompts", + "href": "/Guides/Customising-prompts" + } +}; + +# **DocsGPT 🦖** + +DocsGPT is an open-source genAI tool that helps users get reliable answers from any knowledge source, while avoiding hallucinations. It enables quick and reliable information retrieval, with tooling and agentic system capability built in. + + + + + +Try it yourself: [https://www.docsgpt.cloud/](https://www.docsgpt.cloud/) + +### Features: +- **🗂️ Wide Format Support:** Reads PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, and images. +- **🌐 Web & Data Integration:** Ingests from URLs, sitemaps, Reddit, GitHub and web crawlers. +- **✅ Reliable Answers:** Get accurate, hallucination-free responses with source citations viewable in a clean UI. +- **🔑 Streamlined API Keys:** Generate keys linked to your settings, documents, and models, simplifying chatbot and integration setup. +- **🔗 Actionable Tooling:** Connect to APIs, tools, and other services to enable LLM actions. +- **🧩 Pre-built Integrations:** Use readily available HTML/React chat widgets, search tools, Discord/Telegram bots, and more. +- **🔌 Flexible Deployment:** Works with major LLMs (OpenAI, Google, Anthropic) and local models (Ollama, llama_cpp). +- **🏢 Secure & Scalable:** Run privately and securely with Kubernetes support, designed for enterprise-grade reliability. + +**Contribute and Extend:** As an open-source project, community contributions are highly encouraged! If you develop valuable customizations or enhancements, consider contributing them back to the main repository to benefit other DocsGPT users. + + ( + + ))} + /> diff --git a/docs/pages/quickstart.mdx b/docs/pages/quickstart.mdx new file mode 100644 index 00000000..11a17895 --- /dev/null +++ b/docs/pages/quickstart.mdx @@ -0,0 +1,119 @@ +--- +title: Quickstart - Launching DocsGPT Web App +description: Get started with DocsGPT quickly by launching the web application using the setup script. +--- + +# Quickstart + +**Prerequisites:** + +* **Docker:** Ensure you have Docker installed and running on your system. + +## Launching DocsGPT (macOS and Linux) + +The easiest way to launch DocsGPT is using the provided `setup.sh` script. This script automates the configuration process and offers several setup options. + +**Steps:** + +1. **Download the DocsGPT Repository:** + + First, you need to download the DocsGPT repository to your local machine. You can do this using Git: + + ```bash + git clone https://github.com/arc53/DocsGPT.git + cd DocsGPT + ``` + +2. **Run the `setup.sh` script:** + + Navigate to the DocsGPT directory in your terminal and execute the `setup.sh` script: + + ```bash + ./setup.sh + ``` + +3. **Follow the interactive setup:** + + The `setup.sh` script will guide you through an interactive menu with the following options: + + ``` + Welcome to DocsGPT Setup! + How would you like to proceed? + 1) Use DocsGPT Public API Endpoint (simple and free) + 2) Serve Local (with Ollama) + 3) Connect Local Inference Engine + 4) Connect Cloud API Provider + Choose option (1-4): + ``` + + Let's break down each option: + + * **1) Use DocsGPT Public API Endpoint (simple and free):** This is the simplest option to get started. It utilizes the DocsGPT public API, requiring no API keys or local model downloads. Choose this for a quick and easy setup. + + * **2) Serve Local (with Ollama):** This option allows you to run a Large Language Model locally using [Ollama](https://ollama.com/). You'll be prompted to choose between CPU or GPU for Ollama and select a model to download. This is a good option for local processing and experimentation. + + * **3) Connect Local Inference Engine:** If you are already running a local inference engine like Llama.cpp, Text Generation Inference (TGI), vLLM, or others, choose this option. You'll be asked to select your engine and provide the necessary connection details. This is for users with existing local LLM infrastructure. + + * **4) Connect Cloud API Provider:** This option lets you connect DocsGPT to a commercial Cloud API provider such as OpenAI, Google (Vertex AI/Gemini), Anthropic (Claude), Groq, HuggingFace Inference API, or Azure OpenAI. You will need an API key from your chosen provider. Select this if you prefer to use a powerful cloud-based LLM. + + After selecting an option and providing any required information (like API keys or model names), the script will configure your `.env` file and start DocsGPT using Docker Compose. + +4. **Access DocsGPT in your browser:** + + Once the setup is complete and Docker containers are running, navigate to [http://localhost:5173/](http://localhost:5173/) in your web browser to access the DocsGPT web application. + +5. **Stopping DocsGPT:** + + To stop DocsGPT, simply open a new terminal in the `DocsGPT` directory and run: + + ```bash + docker compose -f deployment/docker-compose.yaml down + ``` + (or the specific `docker compose` command shown at the end of the `setup.sh` execution, which may include optional compose files depending on your choices). + +## Launching DocsGPT (Windows) + +For Windows users, we provide a PowerShell script that offers the same functionality as the macOS/Linux setup script. + +**Steps:** + +1. **Download the DocsGPT Repository:** + + First, you need to download the DocsGPT repository to your local machine. You can do this using Git: + + ```powershell + git clone https://github.com/arc53/DocsGPT.git + cd DocsGPT + ``` + +2. **Run the `setup.ps1` script:** + + Execute the PowerShell setup script: + + ```powershell + PowerShell -ExecutionPolicy Bypass -File .\setup.ps1 + ``` + +3. **Follow the interactive setup:** + + Just like the Linux/macOS script, the PowerShell script will guide you through setting DocsGPT. + The script will handle environment configuration and start DocsGPT based on your selections. + +4. **Access DocsGPT in your browser:** + + Once the setup is complete and Docker containers are running, navigate to [http://localhost:5173/](http://localhost:5173/) in your web browser to access the DocsGPT web application. + +5. **Stopping DocsGPT:** + + To stop DocsGPT run the Docker Compose down command displayed at the end of the setup script's execution. + +**Important for Windows:** Ensure Docker Desktop is installed and running correctly on your Windows system before proceeding. The script will attempt to start Docker if it's not running, but you may need to start it manually if there are issues. + +**Alternative Method:** +If you prefer a more manual approach, you can follow our [Docker Deployment documentation](/Deploying/Docker-Deploying) for detailed instructions on setting up DocsGPT on Windows using Docker commands directly. + +## Advanced Configuration + +For more advanced customization of DocsGPT settings, such as configuring vector stores, embedding models, and other parameters, please refer to the [DocsGPT Settings documentation](/Deploying/DocsGPT-Settings). This guide explains how to modify the `.env` file or `settings.py` for deeper configuration. + +Enjoy using DocsGPT! \ No newline at end of file diff --git a/docs/public/Railway-selection.png b/docs/public/Railway-selection.png new file mode 100644 index 00000000..2100e5b4 Binary files /dev/null and b/docs/public/Railway-selection.png differ diff --git a/docs/public/civo.png b/docs/public/civo.png new file mode 100644 index 00000000..c786543f Binary files /dev/null and b/docs/public/civo.png differ diff --git a/docs/public/cute-docsgpt.png b/docs/public/cute-docsgpt.png new file mode 100644 index 00000000..28283f30 Binary files /dev/null and b/docs/public/cute-docsgpt.png differ diff --git a/docs/public/digitalocean.png b/docs/public/digitalocean.png new file mode 100644 index 00000000..2d90824a Binary files /dev/null and b/docs/public/digitalocean.png differ diff --git a/docs/public/docs.gif b/docs/public/docs.gif new file mode 100644 index 00000000..97839717 Binary files /dev/null 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"sizes": "192x192", + "type": "image/png" + }, + { + "src": "/android-chrome-512x512.png", + "sizes": "512x512", + "type": "image/png" + } + ], + "theme_color": "#ffffff", + "background_color": "#ffffff", + "display": "standalone" +} diff --git a/docs/public/homevideo.gif b/docs/public/homevideo.gif new file mode 100644 index 00000000..8dacb661 Binary files /dev/null and b/docs/public/homevideo.gif differ diff --git a/docs/public/jwt-input.png b/docs/public/jwt-input.png new file mode 100644 index 00000000..494d9744 Binary files /dev/null and b/docs/public/jwt-input.png differ diff --git a/docs/public/kamatera.png b/docs/public/kamatera.png new file mode 100644 index 00000000..cf79872d Binary files /dev/null and b/docs/public/kamatera.png differ diff --git a/docs/public/lightsail.png b/docs/public/lightsail.png new file mode 100644 index 00000000..982ca63e Binary files /dev/null and b/docs/public/lightsail.png differ diff --git a/docs/public/llms.gif b/docs/public/llms.gif new file 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b/docs/public/toolIcons/tool_api_tool.svg @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/docs/public/toolIcons/tool_brave.svg b/docs/public/toolIcons/tool_brave.svg new file mode 100644 index 00000000..380c19ed --- /dev/null +++ b/docs/public/toolIcons/tool_brave.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/docs/public/toolIcons/tool_cryptoprice.svg b/docs/public/toolIcons/tool_cryptoprice.svg new file mode 100644 index 00000000..6a422694 --- /dev/null +++ b/docs/public/toolIcons/tool_cryptoprice.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/docs/public/toolIcons/tool_ntfy.svg b/docs/public/toolIcons/tool_ntfy.svg new file mode 100644 index 00000000..71fd647f --- /dev/null +++ b/docs/public/toolIcons/tool_ntfy.svg @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/docs/public/toolIcons/tool_postgres.svg b/docs/public/toolIcons/tool_postgres.svg new file mode 100644 index 00000000..c7acdb18 --- /dev/null +++ b/docs/public/toolIcons/tool_postgres.svg @@ -0,0 +1,29 @@ + + + + + + + Data + + + sql-database-generic + + + SQL Database (Generic) + + + image/svg+xml + + + Amido Limited + + + Richard Slater + + + + + + + \ No newline at end of file diff --git a/docs/public/toolIcons/tool_read_webpage.svg b/docs/public/toolIcons/tool_read_webpage.svg new file mode 100644 index 00000000..41692e95 --- /dev/null +++ b/docs/public/toolIcons/tool_read_webpage.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/docs/public/toolIcons/tool_telegram.svg b/docs/public/toolIcons/tool_telegram.svg new file mode 100644 index 00000000..27536ded --- /dev/null +++ b/docs/public/toolIcons/tool_telegram.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/docs/theme.config.jsx b/docs/theme.config.jsx new file mode 100644 index 00000000..77d8b9c1 --- /dev/null +++ b/docs/theme.config.jsx @@ -0,0 +1,161 @@ +import Image from 'next/image' +import { Analytics } from '@vercel/analytics/react'; + +const github = 'https://github.com/arc53/DocsGPT'; + + + + +import { useConfig, useTheme } from 'nextra-theme-docs'; +import CuteLogo from './public/cute-docsgpt.png'; +const Logo = ({ height, width }) => { + const { theme } = useTheme(); + return ( +
+ DocsGPT logo + + DocsGPT Docs + + +
+ ); +}; + +const config = { + docsRepositoryBase: `${github}/blob/main/docs`, + chat: { + link: 'https://discord.com/invite/n5BX8dh8rU', + }, + banner: { + key: 'docs-launch', + text: ( +
+ Welcome to the new DocsGPT 🦖 docs! 👋 +
+ ), + }, + toc: { + float: true, + }, + project: { + link: github, + }, + darkMode: true, + nextThemes: { + defaultTheme: 'dark', + }, + primaryHue: { + dark: 207, + light: 212, + }, + footer: { + text: ( +
+ MIT {new Date().getFullYear()} © + + DocsGPT + + {' | '} + + GitHub + + {' | '} + + Blog + +
+ ), + }, + editLink: { + content: 'Edit this page on GitHub', + }, + logo() { + return ( +
+ +
+ ); + }, + useNextSeoProps() { + return { + titleTemplate: `%s - DocsGPT Documentation`, + }; + }, + + head() { + const { frontMatter } = useConfig(); + const { theme } = useTheme(); + const title = frontMatter?.title || 'Chat with your data with DocsGPT'; + const description = + frontMatter?.description || + 'Use DocsGPT to chat with your data. DocsGPT is a GPT powered chatbot that can answer questions about your data.' + const image = '/cute-docsgpt.png'; + + const composedTitle = `${title} – DocsGPT Documentation`; + + return ( + <> + + + + + + + + + + + + + + + + + + + + + + ); + }, + sidebar: { + defaultMenuCollapseLevel: 1, + titleComponent: ({ title, type }) => + type === 'separator' ? ( +
+ + {title} + +
+ + ) : ( + <>{title} + + + + ), + }, + + gitTimestamp: ({ timestamp }) => ( + <>Last updated on {timestamp.toLocaleDateString()} + ), +}; + +export default config; \ No newline at end of file diff --git a/extensions/chatwoot/.env_sample b/extensions/chatwoot/.env_sample new file mode 100644 index 00000000..5f233db1 --- /dev/null +++ b/extensions/chatwoot/.env_sample @@ -0,0 +1,6 @@ +docsgpt_url= +chatwoot_url= +docsgpt_key= +chatwoot_token=xxxxx +account_id=(optional) 1 +assignee_id=(optional) 1 \ No newline at end of file diff --git a/extensions/chatwoot/__init__.py b/extensions/chatwoot/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/extensions/chatwoot/app.py b/extensions/chatwoot/app.py new file mode 100644 index 00000000..8580902b --- /dev/null +++ b/extensions/chatwoot/app.py @@ -0,0 +1,89 @@ +import os +import pprint + +import dotenv +import requests +from flask import Flask, request + +dotenv.load_dotenv() +docsgpt_url = os.getenv("docsgpt_url") +chatwoot_url = os.getenv("chatwoot_url") +docsgpt_key = os.getenv("docsgpt_key") +chatwoot_token = os.getenv("chatwoot_token") +# account_id = os.getenv("account_id") +# assignee_id = os.getenv("assignee_id") +label_stop = "human-requested" + + +def send_to_bot(sender, message): + data = { + 'sender': sender, + 'question': message, + 'api_key': docsgpt_key, + 'embeddings_key': docsgpt_key, + 'history': '' + } + headers = {"Content-Type": "application/json", + "Accept": "application/json"} + + r = requests.post(f'{docsgpt_url}/api/answer', + json=data, headers=headers) + return r.json()['answer'] + + +def send_to_chatwoot(account, conversation, message): + data = { + 'content': message + } + url = f"{chatwoot_url}/api/v1/accounts/{account}/conversations/{conversation}/messages" + headers = {"Content-Type": "application/json", + "Accept": "application/json", + "api_access_token": f"{chatwoot_token}"} + + r = requests.post(url, + json=data, headers=headers) + return r.json() + + +app = Flask(__name__) + + +@app.route('/docsgpt', methods=['POST']) +def docsgpt(): + data = request.get_json() + pp = pprint.PrettyPrinter(indent=4) + pp.pprint(data) + try: + message_type = data['message_type'] + except KeyError: + return "Not a message" + message = data['content'] + conversation = data['conversation']['id'] + contact = data['sender']['id'] + account = data['account']['id'] + assignee = data['conversation']['meta']['assignee']['id'] + print(account) + print(label_stop) + print(data['conversation']['labels']) + print(assignee) + + if label_stop in data['conversation']['labels']: + return "Label stop" + # elif str(account) != str(account_id): + # return "Not the right account" + + # elif str(assignee) != str(assignee_id): + # return "Not the right assignee" + + if (message_type == "incoming"): + bot_response = send_to_bot(contact, message) + create_message = send_to_chatwoot( + account, conversation, bot_response) + else: + return "Not an incoming message" + + return create_message + + +if __name__ == '__main__': + app.run(host='0.0.0.0', port=80) diff --git a/extensions/chrome/_locales/en/messages.json b/extensions/chrome/_locales/en/messages.json new file mode 100644 index 00000000..a1b9cd07 --- /dev/null +++ b/extensions/chrome/_locales/en/messages.json @@ -0,0 +1,66 @@ +{ + "l10nTabName": { + "message":"Localization" + ,"description":"name of the localization tab" + } + ,"l10nHeader": { + "message":"It does localization too! (this whole tab is, actually)" + ,"description":"Header text for the localization section" + } + ,"l10nIntro": { + "message":"'L10n' refers to 'Localization' - 'L' an 'n' are obvious, and 10 comes from the number of letters between those two. It is the process/whatever of displaying something in the language of choice. It uses 'I18n', 'Internationalization', which refers to the tools / framework supporting L10n. I.e., something is internationalized if it has I18n support, and can be localized. Something is localized for you if it is in your language / dialect." + ,"description":"introduce the basic idea." + } + ,"l10nProd": { + "message":"You are planning to allow localization, right? You have no idea who will be using your extension! You have no idea who will be translating it! At least support the basics, it's not hard, and having the framework in place will let you transition much more easily later on." + ,"description":"drive the point home. It's good for you." + } + ,"l10nFirstParagraph": { + "message":"When the options page loads, elements decorated with data-l10n will automatically be localized!" + ,"description":"inform that elements will be localized on load" + } + ,"l10nSecondParagraph": { + "message":"If you need more complex localization, you can also define data-l10n-args. This should contain $containerType$ filled with $dataType$, which will be passed into Chrome's i18n API as $functionArgs$. In fact, this paragraph does just that, and wraps the args in mono-space font. Easy!" + ,"description":"introduce the data-l10n-args attribute. End on a lame note." + ,"placeholders": { + "containerType": { + "content":"$1" + ,"example":"'array', 'list', or something similar" + ,"description":"type of the args container" + } + ,"dataType": { + "content":"$2" + ,"example":"string" + ,"description":"type of data in each array index" + } + ,"functionArgs": { + "content":"$3" + ,"example":"arguments" + ,"description":"whatever you call what you pass into a function/method. args, params, etc." + } + } + } + ,"l10nThirdParagraph": { + "message":"Message contents are passed right into innerHTML without processing - include any tags (or even scripts) that you feel like. If you have an input field, the placeholder will be set instead, and buttons will have the value attribute set." + ,"description":"inform that we handle placeholders, buttons, and direct HTML input" + } + ,"l10nButtonsBefore": { + "message":"Different types of buttons are handled as well. <button> elements have their html set:" + } + ,"l10nButton": { + "message":"in a button" + } + ,"l10nButtonsBetween": { + "message":"while <input type='submit'> and <input type='button'> get their 'value' set (note: no HTML):" + } + ,"l10nSubmit": { + "message":"a submit value" + } + ,"l10nButtonsAfter": { + "message":"Awesome, no?" + } + ,"l10nExtras": { + "message":"You can even set data-l10n on things like the <title> tag, which lets you have translatable page titles, or fieldset <legend> tags, or anywhere else - the default Boil.localize() behavior will check every tag in the document, not just the body." + ,"description":"inform about places which may not be obvious, like , etc" + } +} diff --git a/extensions/chrome/dist/output.css b/extensions/chrome/dist/output.css new file mode 100644 index 00000000..9a8b7fee --- /dev/null +++ b/extensions/chrome/dist/output.css @@ -0,0 +1,678 @@ +/* +! tailwindcss v3.2.7 | MIT License | https://tailwindcss.com +*/ + +/* +1. Prevent padding and border from affecting element width. (https://github.com/mozdevs/cssremedy/issues/4) +2. Allow adding a border to an element by just adding a border-width. (https://github.com/tailwindcss/tailwindcss/pull/116) +*/ + +*, +::before, +::after { + box-sizing: border-box; + /* 1 */ + border-width: 0; + /* 2 */ + border-style: solid; + /* 2 */ + border-color: #e5e7eb; + /* 2 */ +} + +::before, +::after { + --tw-content: ''; +} + +/* +1. Use a consistent sensible line-height in all browsers. +2. Prevent adjustments of font size after orientation changes in iOS. +3. Use a more readable tab size. +4. Use the user's configured `sans` font-family by default. +5. Use the user's configured `sans` font-feature-settings by default. +*/ + +html { + line-height: 1.5; + /* 1 */ + -webkit-text-size-adjust: 100%; + /* 2 */ + -moz-tab-size: 4; + /* 3 */ + -o-tab-size: 4; + tab-size: 4; + /* 3 */ + font-family: ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; + /* 4 */ + font-feature-settings: normal; + /* 5 */ +} + +/* +1. Remove the margin in all browsers. +2. Inherit line-height from `html` so users can set them as a class directly on the `html` element. +*/ + +body { + margin: 0; + /* 1 */ + line-height: inherit; + /* 2 */ +} + +/* +1. Add the correct height in Firefox. +2. Correct the inheritance of border color in Firefox. (https://bugzilla.mozilla.org/show_bug.cgi?id=190655) +3. Ensure horizontal rules are visible by default. +*/ + +hr { + height: 0; + /* 1 */ + color: inherit; + /* 2 */ + border-top-width: 1px; + /* 3 */ +} + +/* +Add the correct text decoration in Chrome, Edge, and Safari. +*/ + +abbr:where([title]) { + -webkit-text-decoration: underline dotted; + text-decoration: underline dotted; +} + +/* +Remove the default font size and weight for headings. +*/ + +h1, +h2, +h3, +h4, +h5, +h6 { + font-size: inherit; + font-weight: inherit; +} + +/* +Reset links to optimize for opt-in styling instead of opt-out. +*/ + +a { + color: inherit; + text-decoration: inherit; +} + +/* +Add the correct font weight in Edge and Safari. +*/ + +b, +strong { + font-weight: bolder; +} + +/* +1. Use the user's configured `mono` font family by default. +2. Correct the odd `em` font sizing in all browsers. +*/ + +code, +kbd, +samp, +pre { + font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; + /* 1 */ + font-size: 1em; + /* 2 */ +} + +/* +Add the correct font size in all browsers. +*/ + +small { + font-size: 80%; +} + +/* +Prevent `sub` and `sup` elements from affecting the line height in all browsers. +*/ + +sub, +sup { + font-size: 75%; + line-height: 0; + position: relative; + vertical-align: baseline; +} + +sub { + bottom: -0.25em; +} + +sup { + top: -0.5em; +} + +/* +1. Remove text indentation from table contents in Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=999088, https://bugs.webkit.org/show_bug.cgi?id=201297) +2. Correct table border color inheritance in all Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=935729, https://bugs.webkit.org/show_bug.cgi?id=195016) +3. Remove gaps between table borders by default. +*/ + +table { + text-indent: 0; + /* 1 */ + border-color: inherit; + /* 2 */ + border-collapse: collapse; + /* 3 */ +} + +/* +1. Change the font styles in all browsers. +2. Remove the margin in Firefox and Safari. +3. Remove default padding in all browsers. +*/ + +button, +input, +optgroup, +select, +textarea { + font-family: inherit; + /* 1 */ + font-size: 100%; + /* 1 */ + font-weight: inherit; + /* 1 */ + line-height: inherit; + /* 1 */ + color: inherit; + /* 1 */ + margin: 0; + /* 2 */ + padding: 0; + /* 3 */ +} + +/* +Remove the inheritance of text transform in Edge and Firefox. +*/ + +button, +select { + text-transform: none; +} + +/* +1. Correct the inability to style clickable types in iOS and Safari. +2. Remove default button styles. +*/ + +button, +[type='button'], +[type='reset'], +[type='submit'] { + -webkit-appearance: button; + /* 1 */ + background-color: transparent; + /* 2 */ + background-image: none; + /* 2 */ +} + +/* +Use the modern Firefox focus style for all focusable elements. +*/ + +:-moz-focusring { + outline: auto; +} + +/* +Remove the additional `:invalid` styles in Firefox. (https://github.com/mozilla/gecko-dev/blob/2f9eacd9d3d995c937b4251a5557d95d494c9be1/layout/style/res/forms.css#L728-L737) +*/ + +:-moz-ui-invalid { + box-shadow: none; +} + +/* +Add the correct vertical alignment in Chrome and Firefox. +*/ + +progress { + vertical-align: baseline; +} + +/* +Correct the cursor style of increment and decrement buttons in Safari. +*/ + +::-webkit-inner-spin-button, +::-webkit-outer-spin-button { + height: auto; +} + +/* +1. Correct the odd appearance in Chrome and Safari. +2. Correct the outline style in Safari. +*/ + +[type='search'] { + -webkit-appearance: textfield; + /* 1 */ + outline-offset: -2px; + /* 2 */ +} + +/* +Remove the inner padding in Chrome and Safari on macOS. +*/ + +::-webkit-search-decoration { + -webkit-appearance: none; +} + +/* +1. Correct the inability to style clickable types in iOS and Safari. +2. Change font properties to `inherit` in Safari. +*/ + +::-webkit-file-upload-button { + -webkit-appearance: button; + /* 1 */ + font: inherit; + /* 2 */ +} + +/* +Add the correct display in Chrome and Safari. +*/ + +summary { + display: list-item; +} + +/* +Removes the default spacing and border for appropriate elements. +*/ + +blockquote, +dl, +dd, +h1, +h2, +h3, +h4, +h5, +h6, +hr, +figure, +p, +pre { + margin: 0; +} + +fieldset { + margin: 0; + padding: 0; +} + +legend { + padding: 0; +} + +ol, +ul, +menu { + list-style: none; + margin: 0; + padding: 0; +} + +/* +Prevent resizing textareas horizontally by default. +*/ + +textarea { + resize: vertical; +} + +/* +1. Reset the default placeholder opacity in Firefox. (https://github.com/tailwindlabs/tailwindcss/issues/3300) +2. Set the default placeholder color to the user's configured gray 400 color. +*/ + +input::-moz-placeholder, textarea::-moz-placeholder { + opacity: 1; + /* 1 */ + color: #9ca3af; + /* 2 */ +} + +input::placeholder, +textarea::placeholder { + opacity: 1; + /* 1 */ + color: #9ca3af; + /* 2 */ +} + +/* +Set the default cursor for buttons. +*/ + +button, +[role="button"] { + cursor: pointer; +} + +/* +Make sure disabled buttons don't get the pointer cursor. +*/ + +:disabled { + cursor: default; +} + +/* +1. Make replaced elements `display: block` by default. (https://github.com/mozdevs/cssremedy/issues/14) +2. Add `vertical-align: middle` to align replaced elements more sensibly by default. (https://github.com/jensimmons/cssremedy/issues/14#issuecomment-634934210) + This can trigger a poorly considered lint error in some tools but is included by design. +*/ + +img, +svg, +video, +canvas, +audio, +iframe, +embed, +object { + display: block; + /* 1 */ + vertical-align: middle; + /* 2 */ +} + +/* +Constrain images and videos to the parent width and preserve their intrinsic aspect ratio. (https://github.com/mozdevs/cssremedy/issues/14) +*/ + +img, +video { + max-width: 100%; + height: auto; +} + +/* Make elements with the HTML hidden attribute stay hidden by default */ + +[hidden] { + display: none; +} + +*, ::before, ::after { + --tw-border-spacing-x: 0; + --tw-border-spacing-y: 0; + --tw-translate-x: 0; + --tw-translate-y: 0; + --tw-rotate: 0; + --tw-skew-x: 0; + --tw-skew-y: 0; + --tw-scale-x: 1; + --tw-scale-y: 1; + --tw-pan-x: ; + --tw-pan-y: ; + --tw-pinch-zoom: ; + --tw-scroll-snap-strictness: proximity; + --tw-ordinal: ; + --tw-slashed-zero: ; + --tw-numeric-figure: ; + --tw-numeric-spacing: ; + --tw-numeric-fraction: ; + --tw-ring-inset: ; + --tw-ring-offset-width: 0px; + --tw-ring-offset-color: #fff; + --tw-ring-color: rgb(59 130 246 / 0.5); + --tw-ring-offset-shadow: 0 0 #0000; + --tw-ring-shadow: 0 0 #0000; + --tw-shadow: 0 0 #0000; + --tw-shadow-colored: 0 0 #0000; + --tw-blur: ; + --tw-brightness: ; + --tw-contrast: ; + --tw-grayscale: ; + --tw-hue-rotate: ; + --tw-invert: ; + --tw-saturate: ; + --tw-sepia: ; + --tw-drop-shadow: ; + --tw-backdrop-blur: ; + --tw-backdrop-brightness: ; + --tw-backdrop-contrast: ; + --tw-backdrop-grayscale: ; + --tw-backdrop-hue-rotate: ; + --tw-backdrop-invert: ; + --tw-backdrop-opacity: ; + --tw-backdrop-saturate: ; + --tw-backdrop-sepia: ; +} + +::backdrop { + --tw-border-spacing-x: 0; + --tw-border-spacing-y: 0; + --tw-translate-x: 0; + --tw-translate-y: 0; + --tw-rotate: 0; + --tw-skew-x: 0; + --tw-skew-y: 0; + --tw-scale-x: 1; + --tw-scale-y: 1; + --tw-pan-x: ; + --tw-pan-y: ; + --tw-pinch-zoom: ; + --tw-scroll-snap-strictness: proximity; + --tw-ordinal: ; + --tw-slashed-zero: ; + --tw-numeric-figure: ; + --tw-numeric-spacing: ; + --tw-numeric-fraction: ; + --tw-ring-inset: ; + --tw-ring-offset-width: 0px; + --tw-ring-offset-color: #fff; + --tw-ring-color: rgb(59 130 246 / 0.5); + --tw-ring-offset-shadow: 0 0 #0000; + --tw-ring-shadow: 0 0 #0000; + --tw-shadow: 0 0 #0000; + --tw-shadow-colored: 0 0 #0000; + --tw-blur: ; + --tw-brightness: ; + --tw-contrast: ; + --tw-grayscale: ; + --tw-hue-rotate: ; + --tw-invert: ; + --tw-saturate: ; + --tw-sepia: ; + --tw-drop-shadow: ; + --tw-backdrop-blur: ; + --tw-backdrop-brightness: ; + --tw-backdrop-contrast: ; + --tw-backdrop-grayscale: ; + --tw-backdrop-hue-rotate: ; + --tw-backdrop-invert: ; + --tw-backdrop-opacity: ; + --tw-backdrop-saturate: ; + --tw-backdrop-sepia: ; +} + +.mb-2 { + margin-bottom: 0.5rem; +} + +.ml-2 { + margin-left: 0.5rem; +} + +.mr-2 { + margin-right: 0.5rem; +} + +.mt-4 { + margin-top: 1rem; +} + +.flex { + display: flex; +} + +.w-\[26rem\] { + width: 26rem; +} + +.w-full { + width: 100%; +} + +.flex-col { + flex-direction: column; +} + +.items-center { + align-items: center; +} + +.justify-between { + justify-content: space-between; +} + +.self-start { + align-self: flex-start; +} + +.self-end { + align-self: flex-end; +} + +.rounded-lg { + border-radius: 0.5rem; +} + +.bg-blue-500 { + --tw-bg-opacity: 1; + background-color: rgb(59 130 246 / var(--tw-bg-opacity)); +} + +.bg-gray-200 { + --tw-bg-opacity: 1; + background-color: rgb(229 231 235 / var(--tw-bg-opacity)); +} + +.bg-gray-900 { + --tw-bg-opacity: 1; + background-color: rgb(17 24 39 / var(--tw-bg-opacity)); +} + +.bg-indigo-500 { + --tw-bg-opacity: 1; + background-color: rgb(99 102 241 / var(--tw-bg-opacity)); +} + +.bg-white { + --tw-bg-opacity: 1; + background-color: rgb(255 255 255 / var(--tw-bg-opacity)); +} + +.p-2 { + padding: 0.5rem; +} + +.p-4 { + padding: 1rem; +} + +.text-lg { + font-size: 1.125rem; + line-height: 1.75rem; +} + +.text-sm { + font-size: 0.875rem; + line-height: 1.25rem; +} + +.font-medium { + font-weight: 500; +} + +.text-blue-500 { + --tw-text-opacity: 1; + color: rgb(59 130 246 / var(--tw-text-opacity)); +} + +.text-gray-700 { + --tw-text-opacity: 1; + color: rgb(55 65 81 / var(--tw-text-opacity)); +} + +.text-white { + --tw-text-opacity: 1; + color: rgb(255 255 255 / var(--tw-text-opacity)); +} + +.shadow { + --tw-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1); + --tw-shadow-colored: 0 1px 3px 0 var(--tw-shadow-color), 0 1px 2px -1px var(--tw-shadow-color); + box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow); +} + +#chat-container { + width: 500px; + height: 450px; + background-color: white; + padding: 10px; + overflow: auto; +} + +.bg-gray-200 { + background-color: #edf2f7; +} + +.bg-gray-900 { + background-color: #1a202c; +} + +.rounded-lg { + border-radius: 0.5rem; +} + +.shadow { + box-shadow: 0 1px 3px rgba(0, 0, 0, 0.12), 0 1px 2px rgba(0, 0, 0, 0.24); +} + +.text-gray-700 { + color: #4a5568; +} + +.text-sm { + font-size: 0.875rem; +} + +.p-4 { + padding: 1.5rem; +} + +.hover\:text-blue-800:hover { + --tw-text-opacity: 1; + color: rgb(30 64 175 / var(--tw-text-opacity)); +} + + + diff --git a/extensions/chrome/icons/icon128.png b/extensions/chrome/icons/icon128.png new file mode 100644 index 00000000..d462ce62 Binary files /dev/null and b/extensions/chrome/icons/icon128.png differ diff --git a/extensions/chrome/icons/icon16 2.png b/extensions/chrome/icons/icon16 2.png new file mode 100644 index 00000000..caf2cfcc Binary files /dev/null and b/extensions/chrome/icons/icon16 2.png differ diff --git a/extensions/chrome/icons/icon16.png b/extensions/chrome/icons/icon16.png new file mode 100644 index 00000000..6664ee4b Binary files /dev/null and b/extensions/chrome/icons/icon16.png differ diff --git a/extensions/chrome/icons/icon19.png b/extensions/chrome/icons/icon19.png new file mode 100644 index 00000000..68aa4be7 Binary files /dev/null and b/extensions/chrome/icons/icon19.png differ diff --git a/extensions/chrome/icons/icon24.png b/extensions/chrome/icons/icon24.png new file mode 100644 index 00000000..4f5c0c54 Binary files /dev/null and b/extensions/chrome/icons/icon24.png differ diff --git a/extensions/chrome/icons/icon256.png b/extensions/chrome/icons/icon256.png new file mode 100644 index 00000000..a3b6acc4 Binary files /dev/null and b/extensions/chrome/icons/icon256.png differ diff --git a/extensions/chrome/icons/icon32.png b/extensions/chrome/icons/icon32.png new file mode 100644 index 00000000..68fb673e Binary files /dev/null and b/extensions/chrome/icons/icon32.png differ diff --git a/extensions/chrome/icons/icon48.png b/extensions/chrome/icons/icon48.png new file mode 100644 index 00000000..b2521b33 Binary files /dev/null and b/extensions/chrome/icons/icon48.png differ diff --git a/extensions/chrome/js/jquery/.gitignore b/extensions/chrome/js/jquery/.gitignore new file mode 100644 index 00000000..1c0fd2bc --- /dev/null +++ b/extensions/chrome/js/jquery/.gitignore @@ -0,0 +1,3 @@ +build +jquery-migrate.js +jquery-migrate.min.js diff --git a/extensions/chrome/js/jquery/README.md b/extensions/chrome/js/jquery/README.md new file mode 100644 index 00000000..ee4907f8 --- /dev/null +++ b/extensions/chrome/js/jquery/README.md @@ -0,0 +1,4 @@ +jQuery Component +================ + +Shim repository for jQuery. diff --git a/extensions/chrome/js/jquery/bower.json b/extensions/chrome/js/jquery/bower.json new file mode 100644 index 00000000..608d523b --- /dev/null +++ b/extensions/chrome/js/jquery/bower.json @@ -0,0 +1,13 @@ +{ + "name": "jquery", + "version": "2.0.0", + "description": "jQuery component", + "keywords": [ + "jquery", + "component" + ], + "scripts": [ + "jquery.js" + ], + "license": "MIT" +} diff --git a/extensions/chrome/js/jquery/component.json b/extensions/chrome/js/jquery/component.json new file mode 100644 index 00000000..89a988cf --- /dev/null +++ b/extensions/chrome/js/jquery/component.json @@ -0,0 +1,21 @@ +{ + "name": "jquery", + "version": "2.0.0", + "description": "jQuery component", + "keywords": [ + "jquery", + "component" + ], + "scripts": [ + "jquery.js" + ], + "license": "MIT", + "gitHead": "46f8412bd1bb9b1b30b5b0eb88560e2d4196509c", + "readme": "jQuery Component\n================\n\nShim repository for jQuery.\n", + "readmeFilename": "README.md", + "_id": "jquery@2.0.0", + "repository": { + "type": "git", + "url": "git://github.com/components/jquery.git" + } +} \ No newline at end of file diff --git a/extensions/chrome/js/jquery/composer.json b/extensions/chrome/js/jquery/composer.json new file mode 100644 index 00000000..2d182d1e --- /dev/null +++ b/extensions/chrome/js/jquery/composer.json @@ -0,0 +1,30 @@ +{ + "name": "components/jquery", + "description": "jQuery JavaScript Library", + "type": "component", + "homepage": "http://jquery.com", + "license": "MIT", + "support": { + "irc": "irc://irc.freenode.org/jquery", + "issues": "http://bugs.jquery.com", + "forum": "http://forum.jquery.com", + "wiki": "http://docs.jquery.com/", + "source": "https://github.com/jquery/jquery" + }, + "authors": [ + { + "name": "John Resig", + "email": "jeresig@gmail.com" + } + ], + "require": { + "robloach/component-installer": "*" + }, + "extra": { + "component": { + "scripts": [ + "jquery.js" + ] + } + } +} diff --git a/extensions/chrome/js/jquery/jquery.js b/extensions/chrome/js/jquery/jquery.js new file mode 100644 index 00000000..f389a3e3 --- /dev/null +++ b/extensions/chrome/js/jquery/jquery.js @@ -0,0 +1,8755 @@ +/*! + * jQuery JavaScript Library v2.0.0 + * http://jquery.com/ + * + * Includes Sizzle.js + * http://sizzlejs.com/ + * + * Copyright 2005, 2013 jQuery Foundation, Inc. and other contributors + * Released under the MIT license + * http://jquery.org/license + * + * Date: 2013-04-18 + */ +(function( window, undefined ) { + +// Can't do this because several apps including ASP.NET trace +// the stack via arguments.caller.callee and Firefox dies if +// you try to trace through "use strict" call chains. (#13335) +// Support: Firefox 18+ +//"use strict"; +var + // A central reference to the root jQuery(document) + rootjQuery, + + // The deferred used on DOM ready + readyList, + + // Support: IE9 + // For `typeof xmlNode.method` instead of `xmlNode.method !== undefined` + core_strundefined = typeof undefined, + + // Use the correct document accordingly with window argument (sandbox) + location = window.location, + document = window.document, + docElem = document.documentElement, + + // Map over jQuery in case of overwrite + _jQuery = window.jQuery, + + // Map over the $ in case of overwrite + _$ = window.$, + + // [[Class]] -> type pairs + class2type = {}, + + // List of deleted data cache ids, so we can reuse them + core_deletedIds = [], + + core_version = "2.0.0", + + // Save a reference to some core methods + core_concat = core_deletedIds.concat, + core_push = core_deletedIds.push, + core_slice = core_deletedIds.slice, + core_indexOf = core_deletedIds.indexOf, + core_toString = class2type.toString, + core_hasOwn = class2type.hasOwnProperty, + core_trim = core_version.trim, + + // Define a local copy of jQuery + jQuery = function( selector, context ) { + // The jQuery object is actually just the init constructor 'enhanced' + return new jQuery.fn.init( selector, context, rootjQuery ); + }, + + // Used for matching numbers + core_pnum = /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source, + + // Used for splitting on whitespace + core_rnotwhite = /\S+/g, + + // A simple way to check for HTML strings + // Prioritize #id over <tag> to avoid XSS via location.hash (#9521) + // Strict HTML recognition (#11290: must start with <) + rquickExpr = /^(?:(<[\w\W]+>)[^>]*|#([\w-]*))$/, + + // Match a standalone tag + rsingleTag = /^<(\w+)\s*\/?>(?:<\/\1>|)$/, + + // Matches dashed string for camelizing + rmsPrefix = /^-ms-/, + rdashAlpha = /-([\da-z])/gi, + + // Used by jQuery.camelCase as callback to replace() + fcamelCase = function( all, letter ) { + return letter.toUpperCase(); + }, + + // The ready event handler and self cleanup method + completed = function() { + document.removeEventListener( "DOMContentLoaded", completed, false ); + window.removeEventListener( "load", completed, false ); + jQuery.ready(); + }; + +jQuery.fn = jQuery.prototype = { + // The current version of jQuery being used + jquery: core_version, + + constructor: jQuery, + init: function( selector, context, rootjQuery ) { + var match, elem; + + // HANDLE: $(""), $(null), $(undefined), $(false) + if ( !selector ) { + return this; + } + + // Handle HTML strings + if ( typeof selector === "string" ) { + if ( selector.charAt(0) === "<" && selector.charAt( selector.length - 1 ) === ">" && selector.length >= 3 ) { + // Assume that strings that start and end with <> are HTML and skip the regex check + match = [ null, selector, null ]; + + } else { + match = rquickExpr.exec( selector ); + } + + // Match html or make sure no context is specified for #id + if ( match && (match[1] || !context) ) { + + // HANDLE: $(html) -> $(array) + if ( match[1] ) { + context = context instanceof jQuery ? context[0] : context; + + // scripts is true for back-compat + jQuery.merge( this, jQuery.parseHTML( + match[1], + context && context.nodeType ? context.ownerDocument || context : document, + true + ) ); + + // HANDLE: $(html, props) + if ( rsingleTag.test( match[1] ) && jQuery.isPlainObject( context ) ) { + for ( match in context ) { + // Properties of context are called as methods if possible + if ( jQuery.isFunction( this[ match ] ) ) { + this[ match ]( context[ match ] ); + + // ...and otherwise set as attributes + } else { + this.attr( match, context[ match ] ); + } + } + } + + return this; + + // HANDLE: $(#id) + } else { + elem = document.getElementById( match[2] ); + + // Check parentNode to catch when Blackberry 4.6 returns + // nodes that are no longer in the document #6963 + if ( elem && elem.parentNode ) { + // Inject the element directly into the jQuery object + this.length = 1; + this[0] = elem; + } + + this.context = document; + this.selector = selector; + return this; + } + + // HANDLE: $(expr, $(...)) + } else if ( !context || context.jquery ) { + return ( context || rootjQuery ).find( selector ); + + // HANDLE: $(expr, context) + // (which is just equivalent to: $(context).find(expr) + } else { + return this.constructor( context ).find( selector ); + } + + // HANDLE: $(DOMElement) + } else if ( selector.nodeType ) { + this.context = this[0] = selector; + this.length = 1; + return this; + + // HANDLE: $(function) + // Shortcut for document ready + } else if ( jQuery.isFunction( selector ) ) { + return rootjQuery.ready( selector ); + } + + if ( selector.selector !== undefined ) { + this.selector = selector.selector; + this.context = selector.context; + } + + return jQuery.makeArray( selector, this ); + }, + + // Start with an empty selector + selector: "", + + // The default length of a jQuery object is 0 + length: 0, + + toArray: function() { + return core_slice.call( this ); + }, + + // Get the Nth element in the matched element set OR + // Get the whole matched element set as a clean array + get: function( num ) { + return num == null ? + + // Return a 'clean' array + this.toArray() : + + // Return just the object + ( num < 0 ? this[ this.length + num ] : this[ num ] ); + }, + + // Take an array of elements and push it onto the stack + // (returning the new matched element set) + pushStack: function( elems ) { + + // Build a new jQuery matched element set + var ret = jQuery.merge( this.constructor(), elems ); + + // Add the old object onto the stack (as a reference) + ret.prevObject = this; + ret.context = this.context; + + // Return the newly-formed element set + return ret; + }, + + // Execute a callback for every element in the matched set. + // (You can seed the arguments with an array of args, but this is + // only used internally.) + each: function( callback, args ) { + return jQuery.each( this, callback, args ); + }, + + ready: function( fn ) { + // Add the callback + jQuery.ready.promise().done( fn ); + + return this; + }, + + slice: function() { + return this.pushStack( core_slice.apply( this, arguments ) ); + }, + + first: function() { + return this.eq( 0 ); + }, + + last: function() { + return this.eq( -1 ); + }, + + eq: function( i ) { + var len = this.length, + j = +i + ( i < 0 ? len : 0 ); + return this.pushStack( j >= 0 && j < len ? [ this[j] ] : [] ); + }, + + map: function( callback ) { + return this.pushStack( jQuery.map(this, function( elem, i ) { + return callback.call( elem, i, elem ); + })); + }, + + end: function() { + return this.prevObject || this.constructor(null); + }, + + // For internal use only. + // Behaves like an Array's method, not like a jQuery method. + push: core_push, + sort: [].sort, + splice: [].splice +}; + +// Give the init function the jQuery prototype for later instantiation +jQuery.fn.init.prototype = jQuery.fn; + +jQuery.extend = jQuery.fn.extend = function() { + var options, name, src, copy, copyIsArray, clone, + target = arguments[0] || {}, + i = 1, + length = arguments.length, + deep = false; + + // Handle a deep copy situation + if ( typeof target === "boolean" ) { + deep = target; + target = arguments[1] || {}; + // skip the boolean and the target + i = 2; + } + + // Handle case when target is a string or something (possible in deep copy) + if ( typeof target !== "object" && !jQuery.isFunction(target) ) { + target = {}; + } + + // extend jQuery itself if only one argument is passed + if ( length === i ) { + target = this; + --i; + } + + for ( ; i < length; i++ ) { + // Only deal with non-null/undefined values + if ( (options = arguments[ i ]) != null ) { + // Extend the base object + for ( name in options ) { + src = target[ name ]; + copy = options[ name ]; + + // Prevent never-ending loop + if ( target === copy ) { + continue; + } + + // Recurse if we're merging plain objects or arrays + if ( deep && copy && ( jQuery.isPlainObject(copy) || (copyIsArray = jQuery.isArray(copy)) ) ) { + if ( copyIsArray ) { + copyIsArray = false; + clone = src && jQuery.isArray(src) ? src : []; + + } else { + clone = src && jQuery.isPlainObject(src) ? src : {}; + } + + // Never move original objects, clone them + target[ name ] = jQuery.extend( deep, clone, copy ); + + // Don't bring in undefined values + } else if ( copy !== undefined ) { + target[ name ] = copy; + } + } + } + } + + // Return the modified object + return target; +}; + +jQuery.extend({ + // Unique for each copy of jQuery on the page + expando: "jQuery" + ( core_version + Math.random() ).replace( /\D/g, "" ), + + noConflict: function( deep ) { + if ( window.$ === jQuery ) { + window.$ = _$; + } + + if ( deep && window.jQuery === jQuery ) { + window.jQuery = _jQuery; + } + + return jQuery; + }, + + // Is the DOM ready to be used? Set to true once it occurs. + isReady: false, + + // A counter to track how many items to wait for before + // the ready event fires. See #6781 + readyWait: 1, + + // Hold (or release) the ready event + holdReady: function( hold ) { + if ( hold ) { + jQuery.readyWait++; + } else { + jQuery.ready( true ); + } + }, + + // Handle when the DOM is ready + ready: function( wait ) { + + // Abort if there are pending holds or we're already ready + if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { + return; + } + + // Remember that the DOM is ready + jQuery.isReady = true; + + // If a normal DOM Ready event fired, decrement, and wait if need be + if ( wait !== true && --jQuery.readyWait > 0 ) { + return; + } + + // If there are functions bound, to execute + readyList.resolveWith( document, [ jQuery ] ); + + // Trigger any bound ready events + if ( jQuery.fn.trigger ) { + jQuery( document ).trigger("ready").off("ready"); + } + }, + + // See test/unit/core.js for details concerning isFunction. + // Since version 1.3, DOM methods and functions like alert + // aren't supported. They return false on IE (#2968). + isFunction: function( obj ) { + return jQuery.type(obj) === "function"; + }, + + isArray: Array.isArray, + + isWindow: function( obj ) { + return obj != null && obj === obj.window; + }, + + isNumeric: function( obj ) { + return !isNaN( parseFloat(obj) ) && isFinite( obj ); + }, + + type: function( obj ) { + if ( obj == null ) { + return String( obj ); + } + // Support: Safari <= 5.1 (functionish RegExp) + return typeof obj === "object" || typeof obj === "function" ? + class2type[ core_toString.call(obj) ] || "object" : + typeof obj; + }, + + isPlainObject: function( obj ) { + // Not plain objects: + // - Any object or value whose internal [[Class]] property is not "[object Object]" + // - DOM nodes + // - window + if ( jQuery.type( obj ) !== "object" || obj.nodeType || jQuery.isWindow( obj ) ) { + return false; + } + + // Support: Firefox <20 + // The try/catch suppresses exceptions thrown when attempting to access + // the "constructor" property of certain host objects, ie. |window.location| + // https://bugzilla.mozilla.org/show_bug.cgi?id=814622 + try { + if ( obj.constructor && + !core_hasOwn.call( obj.constructor.prototype, "isPrototypeOf" ) ) { + return false; + } + } catch ( e ) { + return false; + } + + // If the function hasn't returned already, we're confident that + // |obj| is a plain object, created by {} or constructed with new Object + return true; + }, + + isEmptyObject: function( obj ) { + var name; + for ( name in obj ) { + return false; + } + return true; + }, + + error: function( msg ) { + throw new Error( msg ); + }, + + // data: string of html + // context (optional): If specified, the fragment will be created in this context, defaults to document + // keepScripts (optional): If true, will include scripts passed in the html string + parseHTML: function( data, context, keepScripts ) { + if ( !data || typeof data !== "string" ) { + return null; + } + if ( typeof context === "boolean" ) { + keepScripts = context; + context = false; + } + context = context || document; + + var parsed = rsingleTag.exec( data ), + scripts = !keepScripts && []; + + // Single tag + if ( parsed ) { + return [ context.createElement( parsed[1] ) ]; + } + + parsed = jQuery.buildFragment( [ data ], context, scripts ); + + if ( scripts ) { + jQuery( scripts ).remove(); + } + + return jQuery.merge( [], parsed.childNodes ); + }, + + parseJSON: JSON.parse, + + // Cross-browser xml parsing + parseXML: function( data ) { + var xml, tmp; + if ( !data || typeof data !== "string" ) { + return null; + } + + // Support: IE9 + try { + tmp = new DOMParser(); + xml = tmp.parseFromString( data , "text/xml" ); + } catch ( e ) { + xml = undefined; + } + + if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { + jQuery.error( "Invalid XML: " + data ); + } + return xml; + }, + + noop: function() {}, + + // Evaluates a script in a global context + globalEval: function( code ) { + var script, + indirect = eval; + + code = jQuery.trim( code ); + + if ( code ) { + // If the code includes a valid, prologue position + // strict mode pragma, execute code by injecting a + // script tag into the document. + if ( code.indexOf("use strict") === 1 ) { + script = document.createElement("script"); + script.text = code; + document.head.appendChild( script ).parentNode.removeChild( script ); + } else { + // Otherwise, avoid the DOM node creation, insertion + // and removal by using an indirect global eval + indirect( code ); + } + } + }, + + // Convert dashed to camelCase; used by the css and data modules + // Microsoft forgot to hump their vendor prefix (#9572) + camelCase: function( string ) { + return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); + }, + + nodeName: function( elem, name ) { + return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); + }, + + // args is for internal usage only + each: function( obj, callback, args ) { + var value, + i = 0, + length = obj.length, + isArray = isArraylike( obj ); + + if ( args ) { + if ( isArray ) { + for ( ; i < length; i++ ) { + value = callback.apply( obj[ i ], args ); + + if ( value === false ) { + break; + } + } + } else { + for ( i in obj ) { + value = callback.apply( obj[ i ], args ); + + if ( value === false ) { + break; + } + } + } + + // A special, fast, case for the most common use of each + } else { + if ( isArray ) { + for ( ; i < length; i++ ) { + value = callback.call( obj[ i ], i, obj[ i ] ); + + if ( value === false ) { + break; + } + } + } else { + for ( i in obj ) { + value = callback.call( obj[ i ], i, obj[ i ] ); + + if ( value === false ) { + break; + } + } + } + } + + return obj; + }, + + trim: function( text ) { + return text == null ? "" : core_trim.call( text ); + }, + + // results is for internal usage only + makeArray: function( arr, results ) { + var ret = results || []; + + if ( arr != null ) { + if ( isArraylike( Object(arr) ) ) { + jQuery.merge( ret, + typeof arr === "string" ? + [ arr ] : arr + ); + } else { + core_push.call( ret, arr ); + } + } + + return ret; + }, + + inArray: function( elem, arr, i ) { + return arr == null ? -1 : core_indexOf.call( arr, elem, i ); + }, + + merge: function( first, second ) { + var l = second.length, + i = first.length, + j = 0; + + if ( typeof l === "number" ) { + for ( ; j < l; j++ ) { + first[ i++ ] = second[ j ]; + } + } else { + while ( second[j] !== undefined ) { + first[ i++ ] = second[ j++ ]; + } + } + + first.length = i; + + return first; + }, + + grep: function( elems, callback, inv ) { + var retVal, + ret = [], + i = 0, + length = elems.length; + inv = !!inv; + + // Go through the array, only saving the items + // that pass the validator function + for ( ; i < length; i++ ) { + retVal = !!callback( elems[ i ], i ); + if ( inv !== retVal ) { + ret.push( elems[ i ] ); + } + } + + return ret; + }, + + // arg is for internal usage only + map: function( elems, callback, arg ) { + var value, + i = 0, + length = elems.length, + isArray = isArraylike( elems ), + ret = []; + + // Go through the array, translating each of the items to their + if ( isArray ) { + for ( ; i < length; i++ ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret[ ret.length ] = value; + } + } + + // Go through every key on the object, + } else { + for ( i in elems ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret[ ret.length ] = value; + } + } + } + + // Flatten any nested arrays + return core_concat.apply( [], ret ); + }, + + // A global GUID counter for objects + guid: 1, + + // Bind a function to a context, optionally partially applying any + // arguments. + proxy: function( fn, context ) { + var tmp, args, proxy; + + if ( typeof context === "string" ) { + tmp = fn[ context ]; + context = fn; + fn = tmp; + } + + // Quick check to determine if target is callable, in the spec + // this throws a TypeError, but we will just return undefined. + if ( !jQuery.isFunction( fn ) ) { + return undefined; + } + + // Simulated bind + args = core_slice.call( arguments, 2 ); + proxy = function() { + return fn.apply( context || this, args.concat( core_slice.call( arguments ) ) ); + }; + + // Set the guid of unique handler to the same of original handler, so it can be removed + proxy.guid = fn.guid = fn.guid || jQuery.guid++; + + return proxy; + }, + + // Multifunctional method to get and set values of a collection + // The value/s can optionally be executed if it's a function + access: function( elems, fn, key, value, chainable, emptyGet, raw ) { + var i = 0, + length = elems.length, + bulk = key == null; + + // Sets many values + if ( jQuery.type( key ) === "object" ) { + chainable = true; + for ( i in key ) { + jQuery.access( elems, fn, i, key[i], true, emptyGet, raw ); + } + + // Sets one value + } else if ( value !== undefined ) { + chainable = true; + + if ( !jQuery.isFunction( value ) ) { + raw = true; + } + + if ( bulk ) { + // Bulk operations run against the entire set + if ( raw ) { + fn.call( elems, value ); + fn = null; + + // ...except when executing function values + } else { + bulk = fn; + fn = function( elem, key, value ) { + return bulk.call( jQuery( elem ), value ); + }; + } + } + + if ( fn ) { + for ( ; i < length; i++ ) { + fn( elems[i], key, raw ? value : value.call( elems[i], i, fn( elems[i], key ) ) ); + } + } + } + + return chainable ? + elems : + + // Gets + bulk ? + fn.call( elems ) : + length ? fn( elems[0], key ) : emptyGet; + }, + + now: Date.now, + + // A method for quickly swapping in/out CSS properties to get correct calculations. + // Note: this method belongs to the css module but it's needed here for the support module. + // If support gets modularized, this method should be moved back to the css module. + swap: function( elem, options, callback, args ) { + var ret, name, + old = {}; + + // Remember the old values, and insert the new ones + for ( name in options ) { + old[ name ] = elem.style[ name ]; + elem.style[ name ] = options[ name ]; + } + + ret = callback.apply( elem, args || [] ); + + // Revert the old values + for ( name in options ) { + elem.style[ name ] = old[ name ]; + } + + return ret; + } +}); + +jQuery.ready.promise = function( obj ) { + if ( !readyList ) { + + readyList = jQuery.Deferred(); + + // Catch cases where $(document).ready() is called after the browser event has already occurred. + // we once tried to use readyState "interactive" here, but it caused issues like the one + // discovered by ChrisS here: http://bugs.jquery.com/ticket/12282#comment:15 + if ( document.readyState === "complete" ) { + // Handle it asynchronously to allow scripts the opportunity to delay ready + setTimeout( jQuery.ready ); + + } else { + + // Use the handy event callback + document.addEventListener( "DOMContentLoaded", completed, false ); + + // A fallback to window.onload, that will always work + window.addEventListener( "load", completed, false ); + } + } + return readyList.promise( obj ); +}; + +// Populate the class2type map +jQuery.each("Boolean Number String Function Array Date RegExp Object Error".split(" "), function(i, name) { + class2type[ "[object " + name + "]" ] = name.toLowerCase(); +}); + +function isArraylike( obj ) { + var length = obj.length, + type = jQuery.type( obj ); + + if ( jQuery.isWindow( obj ) ) { + return false; + } + + if ( obj.nodeType === 1 && length ) { + return true; + } + + return type === "array" || type !== "function" && + ( length === 0 || + typeof length === "number" && length > 0 && ( length - 1 ) in obj ); +} + +// All jQuery objects should point back to these +rootjQuery = jQuery(document); +/*! + * Sizzle CSS Selector Engine v1.9.2-pre + * http://sizzlejs.com/ + * + * Copyright 2013 jQuery Foundation, Inc. and other contributors + * Released under the MIT license + * http://jquery.org/license + * + * Date: 2013-04-16 + */ +(function( window, undefined ) { + +var i, + cachedruns, + Expr, + getText, + isXML, + compile, + outermostContext, + sortInput, + + // Local document vars + setDocument, + document, + docElem, + documentIsHTML, + rbuggyQSA, + rbuggyMatches, + matches, + contains, + + // Instance-specific data + expando = "sizzle" + -(new Date()), + preferredDoc = window.document, + support = {}, + dirruns = 0, + done = 0, + classCache = createCache(), + tokenCache = createCache(), + compilerCache = createCache(), + hasDuplicate = false, + sortOrder = function() { return 0; }, + + // General-purpose constants + strundefined = typeof undefined, + MAX_NEGATIVE = 1 << 31, + + // Array methods + arr = [], + pop = arr.pop, + push_native = arr.push, + push = arr.push, + slice = arr.slice, + // Use a stripped-down indexOf if we can't use a native one + indexOf = arr.indexOf || function( elem ) { + var i = 0, + len = this.length; + for ( ; i < len; i++ ) { + if ( this[i] === elem ) { + return i; + } + } + return -1; + }, + + booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped", + + // Regular expressions + + // Whitespace characters http://www.w3.org/TR/css3-selectors/#whitespace + whitespace = "[\\x20\\t\\r\\n\\f]", + // http://www.w3.org/TR/css3-syntax/#characters + characterEncoding = "(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+", + + // Loosely modeled on CSS identifier characters + // An unquoted value should be a CSS identifier http://www.w3.org/TR/css3-selectors/#attribute-selectors + // Proper syntax: http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier + identifier = characterEncoding.replace( "w", "w#" ), + + // Acceptable operators http://www.w3.org/TR/selectors/#attribute-selectors + attributes = "\\[" + whitespace + "*(" + characterEncoding + ")" + whitespace + + "*(?:([*^$|!~]?=)" + whitespace + "*(?:(['\"])((?:\\\\.|[^\\\\])*?)\\3|(" + identifier + ")|)|)" + whitespace + "*\\]", + + // Prefer arguments quoted, + // then not containing pseudos/brackets, + // then attribute selectors/non-parenthetical expressions, + // then anything else + // These preferences are here to reduce the number of selectors + // needing tokenize in the PSEUDO preFilter + pseudos = ":(" + characterEncoding + ")(?:\\(((['\"])((?:\\\\.|[^\\\\])*?)\\3|((?:\\\\.|[^\\\\()[\\]]|" + attributes.replace( 3, 8 ) + ")*)|.*)\\)|)", + + // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter + rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ), + + rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), + rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ), + + rsibling = new RegExp( whitespace + "*[+~]" ), + rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*)" + whitespace + "*\\]", "g" ), + + rpseudo = new RegExp( pseudos ), + ridentifier = new RegExp( "^" + identifier + "$" ), + + matchExpr = { + "ID": new RegExp( "^#(" + characterEncoding + ")" ), + "CLASS": new RegExp( "^\\.(" + characterEncoding + ")" ), + "TAG": new RegExp( "^(" + characterEncoding.replace( "w", "w*" ) + ")" ), + "ATTR": new RegExp( "^" + attributes ), + "PSEUDO": new RegExp( "^" + pseudos ), + "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace + + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace + + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), + "boolean": new RegExp( "^(?:" + booleans + ")$", "i" ), + // For use in libraries implementing .is() + // We use this for POS matching in `select` + "needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + + whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) + }, + + rnative = /^[^{]+\{\s*\[native \w/, + + // Easily-parseable/retrievable ID or TAG or CLASS selectors + rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, + + rinputs = /^(?:input|select|textarea|button)$/i, + rheader = /^h\d$/i, + + rescape = /'|\\/g, + + // CSS escapes http://www.w3.org/TR/CSS21/syndata.html#escaped-characters + runescape = /\\([\da-fA-F]{1,6}[\x20\t\r\n\f]?|.)/g, + funescape = function( _, escaped ) { + var high = "0x" + escaped - 0x10000; + // NaN means non-codepoint + return high !== high ? + escaped : + // BMP codepoint + high < 0 ? + String.fromCharCode( high + 0x10000 ) : + // Supplemental Plane codepoint (surrogate pair) + String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); + }; + +// Optimize for push.apply( _, NodeList ) +try { + push.apply( + (arr = slice.call( preferredDoc.childNodes )), + preferredDoc.childNodes + ); + // Support: Android<4.0 + // Detect silently failing push.apply + arr[ preferredDoc.childNodes.length ].nodeType; +} catch ( e ) { + push = { apply: arr.length ? + + // Leverage slice if possible + function( target, els ) { + push_native.apply( target, slice.call(els) ); + } : + + // Support: IE<9 + // Otherwise append directly + function( target, els ) { + var j = target.length, + i = 0; + // Can't trust NodeList.length + while ( (target[j++] = els[i++]) ) {} + target.length = j - 1; + } + }; +} + +/** + * For feature detection + * @param {Function} fn The function to test for native support + */ +function isNative( fn ) { + return rnative.test( fn + "" ); +} + +/** + * Create key-value caches of limited size + * @returns {Function(string, Object)} Returns the Object data after storing it on itself with + * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) + * deleting the oldest entry + */ +function createCache() { + var cache, + keys = []; + + return (cache = function( key, value ) { + // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) + if ( keys.push( key += " " ) > Expr.cacheLength ) { + // Only keep the most recent entries + delete cache[ keys.shift() ]; + } + return (cache[ key ] = value); + }); +} + +/** + * Mark a function for special use by Sizzle + * @param {Function} fn The function to mark + */ +function markFunction( fn ) { + fn[ expando ] = true; + return fn; +} + +/** + * Support testing using an element + * @param {Function} fn Passed the created div and expects a boolean result + */ +function assert( fn ) { + var div = document.createElement("div"); + + try { + return !!fn( div ); + } catch (e) { + return false; + } finally { + if ( div.parentNode ) { + div.parentNode.removeChild( div ); + } + // release memory in IE + div = null; + } +} + +function Sizzle( selector, context, results, seed ) { + var match, elem, m, nodeType, + // QSA vars + i, groups, old, nid, newContext, newSelector; + + if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { + setDocument( context ); + } + + context = context || document; + results = results || []; + + if ( !selector || typeof selector !== "string" ) { + return results; + } + + if ( (nodeType = context.nodeType) !== 1 && nodeType !== 9 ) { + return []; + } + + if ( documentIsHTML && !seed ) { + + // Shortcuts + if ( (match = rquickExpr.exec( selector )) ) { + // Speed-up: Sizzle("#ID") + if ( (m = match[1]) ) { + if ( nodeType === 9 ) { + elem = context.getElementById( m ); + // Check parentNode to catch when Blackberry 4.6 returns + // nodes that are no longer in the document #6963 + if ( elem && elem.parentNode ) { + // Handle the case where IE, Opera, and Webkit return items + // by name instead of ID + if ( elem.id === m ) { + results.push( elem ); + return results; + } + } else { + return results; + } + } else { + // Context is not a document + if ( context.ownerDocument && (elem = context.ownerDocument.getElementById( m )) && + contains( context, elem ) && elem.id === m ) { + results.push( elem ); + return results; + } + } + + // Speed-up: Sizzle("TAG") + } else if ( match[2] ) { + push.apply( results, context.getElementsByTagName( selector ) ); + return results; + + // Speed-up: Sizzle(".CLASS") + } else if ( (m = match[3]) && support.getElementsByClassName && context.getElementsByClassName ) { + push.apply( results, context.getElementsByClassName( m ) ); + return results; + } + } + + // QSA path + if ( support.qsa && (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { + nid = old = expando; + newContext = context; + newSelector = nodeType === 9 && selector; + + // qSA works strangely on Element-rooted queries + // We can work around this by specifying an extra ID on the root + // and working up from there (Thanks to Andrew Dupont for the technique) + // IE 8 doesn't work on object elements + if ( nodeType === 1 && context.nodeName.toLowerCase() !== "object" ) { + groups = tokenize( selector ); + + if ( (old = context.getAttribute("id")) ) { + nid = old.replace( rescape, "\\$&" ); + } else { + context.setAttribute( "id", nid ); + } + nid = "[id='" + nid + "'] "; + + i = groups.length; + while ( i-- ) { + groups[i] = nid + toSelector( groups[i] ); + } + newContext = rsibling.test( selector ) && context.parentNode || context; + newSelector = groups.join(","); + } + + if ( newSelector ) { + try { + push.apply( results, + newContext.querySelectorAll( newSelector ) + ); + return results; + } catch(qsaError) { + } finally { + if ( !old ) { + context.removeAttribute("id"); + } + } + } + } + } + + // All others + return select( selector.replace( rtrim, "$1" ), context, results, seed ); +} + +/** + * Detect xml + * @param {Element|Object} elem An element or a document + */ +isXML = Sizzle.isXML = function( elem ) { + // documentElement is verified for cases where it doesn't yet exist + // (such as loading iframes in IE - #4833) + var documentElement = elem && (elem.ownerDocument || elem).documentElement; + return documentElement ? documentElement.nodeName !== "HTML" : false; +}; + +/** + * Sets document-related variables once based on the current document + * @param {Element|Object} [doc] An element or document object to use to set the document + * @returns {Object} Returns the current document + */ +setDocument = Sizzle.setDocument = function( node ) { + var doc = node ? node.ownerDocument || node : preferredDoc; + + // If no document and documentElement is available, return + if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { + return document; + } + + // Set our document + document = doc; + docElem = doc.documentElement; + + // Support tests + documentIsHTML = !isXML( doc ); + + // Check if getElementsByTagName("*") returns only elements + support.getElementsByTagName = assert(function( div ) { + div.appendChild( doc.createComment("") ); + return !div.getElementsByTagName("*").length; + }); + + // Support: IE<8 + // Verify that getAttribute really returns attributes and not properties (excepting IE8 booleans) + support.attributes = assert(function( div ) { + div.className = "i"; + return !div.getAttribute("className"); + }); + + // Check if getElementsByClassName can be trusted + support.getElementsByClassName = assert(function( div ) { + div.innerHTML = "<div class='a'></div><div class='a i'></div>"; + + // Support: Safari<4 + // Catch class over-caching + div.firstChild.className = "i"; + // Support: Opera<10 + // Catch gEBCN failure to find non-leading classes + return div.getElementsByClassName("i").length === 2; + }); + + // Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) + // Detached nodes confoundingly follow *each other* + support.sortDetached = assert(function( div1 ) { + // Should return 1, but returns 4 (following) + return div1.compareDocumentPosition( document.createElement("div") ) & 1; + }); + + // Support: IE<10 + // Check if getElementById returns elements by name + // Support: Windows 8 Native Apps + // Assigning innerHTML with "name" attributes throws uncatchable exceptions + // (http://msdn.microsoft.com/en-us/library/ie/hh465388.aspx) + // and the broken getElementById methods don't pick up programatically-set names, + // so use a roundabout getElementsByName test + support.getById = assert(function( div ) { + docElem.appendChild( div ).id = expando; + return !doc.getElementsByName || !doc.getElementsByName( expando ).length; + }); + + // ID find and filter + if ( support.getById ) { + Expr.find["ID"] = function( id, context ) { + if ( typeof context.getElementById !== strundefined && documentIsHTML ) { + var m = context.getElementById( id ); + // Check parentNode to catch when Blackberry 4.6 returns + // nodes that are no longer in the document #6963 + return m && m.parentNode ? [m] : []; + } + }; + Expr.filter["ID"] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + return elem.getAttribute("id") === attrId; + }; + }; + } else { + Expr.find["ID"] = function( id, context ) { + if ( typeof context.getElementById !== strundefined && documentIsHTML ) { + var m = context.getElementById( id ); + + return m ? + m.id === id || typeof m.getAttributeNode !== strundefined && m.getAttributeNode("id").value === id ? + [m] : + undefined : + []; + } + }; + Expr.filter["ID"] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + var node = typeof elem.getAttributeNode !== strundefined && elem.getAttributeNode("id"); + return node && node.value === attrId; + }; + }; + } + + // Tag + Expr.find["TAG"] = support.getElementsByTagName ? + function( tag, context ) { + if ( typeof context.getElementsByTagName !== strundefined ) { + return context.getElementsByTagName( tag ); + } + } : + function( tag, context ) { + var elem, + tmp = [], + i = 0, + results = context.getElementsByTagName( tag ); + + // Filter out possible comments + if ( tag === "*" ) { + while ( (elem = results[i++]) ) { + if ( elem.nodeType === 1 ) { + tmp.push( elem ); + } + } + + return tmp; + } + return results; + }; + + // Class + Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { + if ( typeof context.getElementsByClassName !== strundefined && documentIsHTML ) { + return context.getElementsByClassName( className ); + } + }; + + // QSA and matchesSelector support + + // matchesSelector(:active) reports false when true (IE9/Opera 11.5) + rbuggyMatches = []; + + // qSa(:focus) reports false when true (Chrome 21) + // We allow this because of a bug in IE8/9 that throws an error + // whenever `document.activeElement` is accessed on an iframe + // So, we allow :focus to pass through QSA all the time to avoid the IE error + // See http://bugs.jquery.com/ticket/13378 + rbuggyQSA = []; + + if ( (support.qsa = isNative(doc.querySelectorAll)) ) { + // Build QSA regex + // Regex strategy adopted from Diego Perini + assert(function( div ) { + // Select is set to empty string on purpose + // This is to test IE's treatment of not explicitly + // setting a boolean content attribute, + // since its presence should be enough + // http://bugs.jquery.com/ticket/12359 + div.innerHTML = "<select><option selected=''></option></select>"; + + // Support: IE8 + // Boolean attributes and "value" are not treated correctly + if ( !div.querySelectorAll("[selected]").length ) { + rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); + } + + // Webkit/Opera - :checked should return selected option elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + // IE8 throws error here and will not see later tests + if ( !div.querySelectorAll(":checked").length ) { + rbuggyQSA.push(":checked"); + } + }); + + assert(function( div ) { + + // Support: Opera 10-12/IE8 + // ^= $= *= and empty values + // Should not select anything + // Support: Windows 8 Native Apps + // The type attribute is restricted during .innerHTML assignment + var input = document.createElement("input"); + input.setAttribute( "type", "hidden" ); + div.appendChild( input ).setAttribute( "t", "" ); + + if ( div.querySelectorAll("[t^='']").length ) { + rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); + } + + // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) + // IE8 throws error here and will not see later tests + if ( !div.querySelectorAll(":enabled").length ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Opera 10-11 does not throw on post-comma invalid pseudos + div.querySelectorAll("*,:x"); + rbuggyQSA.push(",.*:"); + }); + } + + if ( (support.matchesSelector = isNative( (matches = docElem.webkitMatchesSelector || + docElem.mozMatchesSelector || + docElem.oMatchesSelector || + docElem.msMatchesSelector) )) ) { + + assert(function( div ) { + // Check to see if it's possible to do matchesSelector + // on a disconnected node (IE 9) + support.disconnectedMatch = matches.call( div, "div" ); + + // This should fail with an exception + // Gecko does not error, returns false instead + matches.call( div, "[s!='']:x" ); + rbuggyMatches.push( "!=", pseudos ); + }); + } + + rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); + rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); + + // Element contains another + // Purposefully does not implement inclusive descendent + // As in, an element does not contain itself + contains = isNative(docElem.contains) || docElem.compareDocumentPosition ? + function( a, b ) { + var adown = a.nodeType === 9 ? a.documentElement : a, + bup = b && b.parentNode; + return a === bup || !!( bup && bup.nodeType === 1 && ( + adown.contains ? + adown.contains( bup ) : + a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 + )); + } : + function( a, b ) { + if ( b ) { + while ( (b = b.parentNode) ) { + if ( b === a ) { + return true; + } + } + } + return false; + }; + + // Document order sorting + sortOrder = docElem.compareDocumentPosition ? + function( a, b ) { + + // Flag for duplicate removal + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + var compare = b.compareDocumentPosition && a.compareDocumentPosition && a.compareDocumentPosition( b ); + + if ( compare ) { + // Disconnected nodes + if ( compare & 1 || + (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { + + // Choose the first element that is related to our preferred document + if ( a === doc || contains(preferredDoc, a) ) { + return -1; + } + if ( b === doc || contains(preferredDoc, b) ) { + return 1; + } + + // Maintain original order + return sortInput ? + ( indexOf.call( sortInput, a ) - indexOf.call( sortInput, b ) ) : + 0; + } + + return compare & 4 ? -1 : 1; + } + + // Not directly comparable, sort on existence of method + return a.compareDocumentPosition ? -1 : 1; + } : + function( a, b ) { + var cur, + i = 0, + aup = a.parentNode, + bup = b.parentNode, + ap = [ a ], + bp = [ b ]; + + // Exit early if the nodes are identical + if ( a === b ) { + hasDuplicate = true; + return 0; + + // Parentless nodes are either documents or disconnected + } else if ( !aup || !bup ) { + return a === doc ? -1 : + b === doc ? 1 : + aup ? -1 : + bup ? 1 : + sortInput ? + ( indexOf.call( sortInput, a ) - indexOf.call( sortInput, b ) ) : + 0; + + // If the nodes are siblings, we can do a quick check + } else if ( aup === bup ) { + return siblingCheck( a, b ); + } + + // Otherwise we need full lists of their ancestors for comparison + cur = a; + while ( (cur = cur.parentNode) ) { + ap.unshift( cur ); + } + cur = b; + while ( (cur = cur.parentNode) ) { + bp.unshift( cur ); + } + + // Walk down the tree looking for a discrepancy + while ( ap[i] === bp[i] ) { + i++; + } + + return i ? + // Do a sibling check if the nodes have a common ancestor + siblingCheck( ap[i], bp[i] ) : + + // Otherwise nodes in our document sort first + ap[i] === preferredDoc ? -1 : + bp[i] === preferredDoc ? 1 : + 0; + }; + + return document; +}; + +Sizzle.matches = function( expr, elements ) { + return Sizzle( expr, null, null, elements ); +}; + +Sizzle.matchesSelector = function( elem, expr ) { + // Set document vars if needed + if ( ( elem.ownerDocument || elem ) !== document ) { + setDocument( elem ); + } + + // Make sure that attribute selectors are quoted + expr = expr.replace( rattributeQuotes, "='$1']" ); + + // rbuggyQSA always contains :focus, so no need for an existence check + if ( support.matchesSelector && documentIsHTML && + (!rbuggyMatches || !rbuggyMatches.test(expr)) && + (!rbuggyQSA || !rbuggyQSA.test(expr)) ) { + + try { + var ret = matches.call( elem, expr ); + + // IE 9's matchesSelector returns false on disconnected nodes + if ( ret || support.disconnectedMatch || + // As well, disconnected nodes are said to be in a document + // fragment in IE 9 + elem.document && elem.document.nodeType !== 11 ) { + return ret; + } + } catch(e) {} + } + + return Sizzle( expr, document, null, [elem] ).length > 0; +}; + +Sizzle.contains = function( context, elem ) { + // Set document vars if needed + if ( ( context.ownerDocument || context ) !== document ) { + setDocument( context ); + } + return contains( context, elem ); +}; + +Sizzle.attr = function( elem, name ) { + // Set document vars if needed + if ( ( elem.ownerDocument || elem ) !== document ) { + setDocument( elem ); + } + + var fn = Expr.attrHandle[ name.toLowerCase() ], + val = fn && fn( elem, name, !documentIsHTML ); + + return val === undefined ? + support.attributes || !documentIsHTML ? + elem.getAttribute( name ) : + (val = elem.getAttributeNode(name)) && val.specified ? + val.value : + null : + val; +}; + +Sizzle.error = function( msg ) { + throw new Error( "Syntax error, unrecognized expression: " + msg ); +}; + +// Document sorting and removing duplicates +Sizzle.uniqueSort = function( results ) { + var elem, + duplicates = [], + j = 0, + i = 0; + + // Unless we *know* we can detect duplicates, assume their presence + hasDuplicate = !support.detectDuplicates; + sortInput = !support.sortStable && results.slice( 0 ); + results.sort( sortOrder ); + + if ( hasDuplicate ) { + while ( (elem = results[i++]) ) { + if ( elem === results[ i ] ) { + j = duplicates.push( i ); + } + } + while ( j-- ) { + results.splice( duplicates[ j ], 1 ); + } + } + + return results; +}; + +/** + * Checks document order of two siblings + * @param {Element} a + * @param {Element} b + * @returns Returns -1 if a precedes b, 1 if a follows b + */ +function siblingCheck( a, b ) { + var cur = b && a, + diff = cur && ( ~b.sourceIndex || MAX_NEGATIVE ) - ( ~a.sourceIndex || MAX_NEGATIVE ); + + // Use IE sourceIndex if available on both nodes + if ( diff ) { + return diff; + } + + // Check if b follows a + if ( cur ) { + while ( (cur = cur.nextSibling) ) { + if ( cur === b ) { + return -1; + } + } + } + + return a ? 1 : -1; +} + +// Fetches boolean attributes by node +function boolHandler( elem, name, isXML ) { + var val; + return isXML ? + undefined : + (val = elem.getAttributeNode( name )) && val.specified ? + val.value : + elem[ name ] === true ? name.toLowerCase() : null; +} + +// Fetches attributes without interpolation +// http://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx +function interpolationHandler( elem, name, isXML ) { + var val; + return isXML ? + undefined : + (val = elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 )); +} + +// Returns a function to use in pseudos for input types +function createInputPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === type; + }; +} + +// Returns a function to use in pseudos for buttons +function createButtonPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return (name === "input" || name === "button") && elem.type === type; + }; +} + +// Returns a function to use in pseudos for positionals +function createPositionalPseudo( fn ) { + return markFunction(function( argument ) { + argument = +argument; + return markFunction(function( seed, matches ) { + var j, + matchIndexes = fn( [], seed.length, argument ), + i = matchIndexes.length; + + // Match elements found at the specified indexes + while ( i-- ) { + if ( seed[ (j = matchIndexes[i]) ] ) { + seed[j] = !(matches[j] = seed[j]); + } + } + }); + }); +} + +/** + * Utility function for retrieving the text value of an array of DOM nodes + * @param {Array|Element} elem + */ +getText = Sizzle.getText = function( elem ) { + var node, + ret = "", + i = 0, + nodeType = elem.nodeType; + + if ( !nodeType ) { + // If no nodeType, this is expected to be an array + for ( ; (node = elem[i]); i++ ) { + // Do not traverse comment nodes + ret += getText( node ); + } + } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { + // Use textContent for elements + // innerText usage removed for consistency of new lines (see #11153) + if ( typeof elem.textContent === "string" ) { + return elem.textContent; + } else { + // Traverse its children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + ret += getText( elem ); + } + } + } else if ( nodeType === 3 || nodeType === 4 ) { + return elem.nodeValue; + } + // Do not include comment or processing instruction nodes + + return ret; +}; + +Expr = Sizzle.selectors = { + + // Can be adjusted by the user + cacheLength: 50, + + createPseudo: markFunction, + + match: matchExpr, + + attrHandle: {}, + + find: {}, + + relative: { + ">": { dir: "parentNode", first: true }, + " ": { dir: "parentNode" }, + "+": { dir: "previousSibling", first: true }, + "~": { dir: "previousSibling" } + }, + + preFilter: { + "ATTR": function( match ) { + match[1] = match[1].replace( runescape, funescape ); + + // Move the given value to match[3] whether quoted or unquoted + match[3] = ( match[4] || match[5] || "" ).replace( runescape, funescape ); + + if ( match[2] === "~=" ) { + match[3] = " " + match[3] + " "; + } + + return match.slice( 0, 4 ); + }, + + "CHILD": function( match ) { + /* matches from matchExpr["CHILD"] + 1 type (only|nth|...) + 2 what (child|of-type) + 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) + 4 xn-component of xn+y argument ([+-]?\d*n|) + 5 sign of xn-component + 6 x of xn-component + 7 sign of y-component + 8 y of y-component + */ + match[1] = match[1].toLowerCase(); + + if ( match[1].slice( 0, 3 ) === "nth" ) { + // nth-* requires argument + if ( !match[3] ) { + Sizzle.error( match[0] ); + } + + // numeric x and y parameters for Expr.filter.CHILD + // remember that false/true cast respectively to 0/1 + match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); + match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); + + // other types prohibit arguments + } else if ( match[3] ) { + Sizzle.error( match[0] ); + } + + return match; + }, + + "PSEUDO": function( match ) { + var excess, + unquoted = !match[5] && match[2]; + + if ( matchExpr["CHILD"].test( match[0] ) ) { + return null; + } + + // Accept quoted arguments as-is + if ( match[4] ) { + match[2] = match[4]; + + // Strip excess characters from unquoted arguments + } else if ( unquoted && rpseudo.test( unquoted ) && + // Get excess from tokenize (recursively) + (excess = tokenize( unquoted, true )) && + // advance to the next closing parenthesis + (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { + + // excess is a negative index + match[0] = match[0].slice( 0, excess ); + match[2] = unquoted.slice( 0, excess ); + } + + // Return only captures needed by the pseudo filter method (type and argument) + return match.slice( 0, 3 ); + } + }, + + filter: { + + "TAG": function( nodeNameSelector ) { + var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); + return nodeNameSelector === "*" ? + function() { return true; } : + function( elem ) { + return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; + }; + }, + + "CLASS": function( className ) { + var pattern = classCache[ className + " " ]; + + return pattern || + (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && + classCache( className, function( elem ) { + return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== strundefined && elem.getAttribute("class") || "" ); + }); + }, + + "ATTR": function( name, operator, check ) { + return function( elem ) { + var result = Sizzle.attr( elem, name ); + + if ( result == null ) { + return operator === "!="; + } + if ( !operator ) { + return true; + } + + result += ""; + + return operator === "=" ? result === check : + operator === "!=" ? result !== check : + operator === "^=" ? check && result.indexOf( check ) === 0 : + operator === "*=" ? check && result.indexOf( check ) > -1 : + operator === "$=" ? check && result.slice( -check.length ) === check : + operator === "~=" ? ( " " + result + " " ).indexOf( check ) > -1 : + operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : + false; + }; + }, + + "CHILD": function( type, what, argument, first, last ) { + var simple = type.slice( 0, 3 ) !== "nth", + forward = type.slice( -4 ) !== "last", + ofType = what === "of-type"; + + return first === 1 && last === 0 ? + + // Shortcut for :nth-*(n) + function( elem ) { + return !!elem.parentNode; + } : + + function( elem, context, xml ) { + var cache, outerCache, node, diff, nodeIndex, start, + dir = simple !== forward ? "nextSibling" : "previousSibling", + parent = elem.parentNode, + name = ofType && elem.nodeName.toLowerCase(), + useCache = !xml && !ofType; + + if ( parent ) { + + // :(first|last|only)-(child|of-type) + if ( simple ) { + while ( dir ) { + node = elem; + while ( (node = node[ dir ]) ) { + if ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) { + return false; + } + } + // Reverse direction for :only-* (if we haven't yet done so) + start = dir = type === "only" && !start && "nextSibling"; + } + return true; + } + + start = [ forward ? parent.firstChild : parent.lastChild ]; + + // non-xml :nth-child(...) stores cache data on `parent` + if ( forward && useCache ) { + // Seek `elem` from a previously-cached index + outerCache = parent[ expando ] || (parent[ expando ] = {}); + cache = outerCache[ type ] || []; + nodeIndex = cache[0] === dirruns && cache[1]; + diff = cache[0] === dirruns && cache[2]; + node = nodeIndex && parent.childNodes[ nodeIndex ]; + + while ( (node = ++nodeIndex && node && node[ dir ] || + + // Fallback to seeking `elem` from the start + (diff = nodeIndex = 0) || start.pop()) ) { + + // When found, cache indexes on `parent` and break + if ( node.nodeType === 1 && ++diff && node === elem ) { + outerCache[ type ] = [ dirruns, nodeIndex, diff ]; + break; + } + } + + // Use previously-cached element index if available + } else if ( useCache && (cache = (elem[ expando ] || (elem[ expando ] = {}))[ type ]) && cache[0] === dirruns ) { + diff = cache[1]; + + // xml :nth-child(...) or :nth-last-child(...) or :nth(-last)?-of-type(...) + } else { + // Use the same loop as above to seek `elem` from the start + while ( (node = ++nodeIndex && node && node[ dir ] || + (diff = nodeIndex = 0) || start.pop()) ) { + + if ( ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) && ++diff ) { + // Cache the index of each encountered element + if ( useCache ) { + (node[ expando ] || (node[ expando ] = {}))[ type ] = [ dirruns, diff ]; + } + + if ( node === elem ) { + break; + } + } + } + } + + // Incorporate the offset, then check against cycle size + diff -= last; + return diff === first || ( diff % first === 0 && diff / first >= 0 ); + } + }; + }, + + "PSEUDO": function( pseudo, argument ) { + // pseudo-class names are case-insensitive + // http://www.w3.org/TR/selectors/#pseudo-classes + // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters + // Remember that setFilters inherits from pseudos + var args, + fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || + Sizzle.error( "unsupported pseudo: " + pseudo ); + + // The user may use createPseudo to indicate that + // arguments are needed to create the filter function + // just as Sizzle does + if ( fn[ expando ] ) { + return fn( argument ); + } + + // But maintain support for old signatures + if ( fn.length > 1 ) { + args = [ pseudo, pseudo, "", argument ]; + return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? + markFunction(function( seed, matches ) { + var idx, + matched = fn( seed, argument ), + i = matched.length; + while ( i-- ) { + idx = indexOf.call( seed, matched[i] ); + seed[ idx ] = !( matches[ idx ] = matched[i] ); + } + }) : + function( elem ) { + return fn( elem, 0, args ); + }; + } + + return fn; + } + }, + + pseudos: { + // Potentially complex pseudos + "not": markFunction(function( selector ) { + // Trim the selector passed to compile + // to avoid treating leading and trailing + // spaces as combinators + var input = [], + results = [], + matcher = compile( selector.replace( rtrim, "$1" ) ); + + return matcher[ expando ] ? + markFunction(function( seed, matches, context, xml ) { + var elem, + unmatched = matcher( seed, null, xml, [] ), + i = seed.length; + + // Match elements unmatched by `matcher` + while ( i-- ) { + if ( (elem = unmatched[i]) ) { + seed[i] = !(matches[i] = elem); + } + } + }) : + function( elem, context, xml ) { + input[0] = elem; + matcher( input, null, xml, results ); + return !results.pop(); + }; + }), + + "has": markFunction(function( selector ) { + return function( elem ) { + return Sizzle( selector, elem ).length > 0; + }; + }), + + "contains": markFunction(function( text ) { + return function( elem ) { + return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; + }; + }), + + // "Whether an element is represented by a :lang() selector + // is based solely on the element's language value + // being equal to the identifier C, + // or beginning with the identifier C immediately followed by "-". + // The matching of C against the element's language value is performed case-insensitively. + // The identifier C does not have to be a valid language name." + // http://www.w3.org/TR/selectors/#lang-pseudo + "lang": markFunction( function( lang ) { + // lang value must be a valid identifier + if ( !ridentifier.test(lang || "") ) { + Sizzle.error( "unsupported lang: " + lang ); + } + lang = lang.replace( runescape, funescape ).toLowerCase(); + return function( elem ) { + var elemLang; + do { + if ( (elemLang = documentIsHTML ? + elem.lang : + elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { + + elemLang = elemLang.toLowerCase(); + return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; + } + } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); + return false; + }; + }), + + // Miscellaneous + "target": function( elem ) { + var hash = window.location && window.location.hash; + return hash && hash.slice( 1 ) === elem.id; + }, + + "root": function( elem ) { + return elem === docElem; + }, + + "focus": function( elem ) { + return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); + }, + + // Boolean properties + "enabled": function( elem ) { + return elem.disabled === false; + }, + + "disabled": function( elem ) { + return elem.disabled === true; + }, + + "checked": function( elem ) { + // In CSS3, :checked should return both checked and selected elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + var nodeName = elem.nodeName.toLowerCase(); + return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); + }, + + "selected": function( elem ) { + // Accessing this property makes selected-by-default + // options in Safari work properly + if ( elem.parentNode ) { + elem.parentNode.selectedIndex; + } + + return elem.selected === true; + }, + + // Contents + "empty": function( elem ) { + // http://www.w3.org/TR/selectors/#empty-pseudo + // :empty is only affected by element nodes and content nodes(including text(3), cdata(4)), + // not comment, processing instructions, or others + // Thanks to Diego Perini for the nodeName shortcut + // Greater than "@" means alpha characters (specifically not starting with "#" or "?") + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + if ( elem.nodeName > "@" || elem.nodeType === 3 || elem.nodeType === 4 ) { + return false; + } + } + return true; + }, + + "parent": function( elem ) { + return !Expr.pseudos["empty"]( elem ); + }, + + // Element/input types + "header": function( elem ) { + return rheader.test( elem.nodeName ); + }, + + "input": function( elem ) { + return rinputs.test( elem.nodeName ); + }, + + "button": function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === "button" || name === "button"; + }, + + "text": function( elem ) { + var attr; + // IE6 and 7 will map elem.type to 'text' for new HTML5 types (search, etc) + // use getAttribute instead to test this case + return elem.nodeName.toLowerCase() === "input" && + elem.type === "text" && + ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === elem.type ); + }, + + // Position-in-collection + "first": createPositionalPseudo(function() { + return [ 0 ]; + }), + + "last": createPositionalPseudo(function( matchIndexes, length ) { + return [ length - 1 ]; + }), + + "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { + return [ argument < 0 ? argument + length : argument ]; + }), + + "even": createPositionalPseudo(function( matchIndexes, length ) { + var i = 0; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "odd": createPositionalPseudo(function( matchIndexes, length ) { + var i = 1; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; --i >= 0; ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; ++i < length; ) { + matchIndexes.push( i ); + } + return matchIndexes; + }) + } +}; + +// Add button/input type pseudos +for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { + Expr.pseudos[ i ] = createInputPseudo( i ); +} +for ( i in { submit: true, reset: true } ) { + Expr.pseudos[ i ] = createButtonPseudo( i ); +} + +function tokenize( selector, parseOnly ) { + var matched, match, tokens, type, + soFar, groups, preFilters, + cached = tokenCache[ selector + " " ]; + + if ( cached ) { + return parseOnly ? 0 : cached.slice( 0 ); + } + + soFar = selector; + groups = []; + preFilters = Expr.preFilter; + + while ( soFar ) { + + // Comma and first run + if ( !matched || (match = rcomma.exec( soFar )) ) { + if ( match ) { + // Don't consume trailing commas as valid + soFar = soFar.slice( match[0].length ) || soFar; + } + groups.push( tokens = [] ); + } + + matched = false; + + // Combinators + if ( (match = rcombinators.exec( soFar )) ) { + matched = match.shift(); + tokens.push( { + value: matched, + // Cast descendant combinators to space + type: match[0].replace( rtrim, " " ) + } ); + soFar = soFar.slice( matched.length ); + } + + // Filters + for ( type in Expr.filter ) { + if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || + (match = preFilters[ type ]( match ))) ) { + matched = match.shift(); + tokens.push( { + value: matched, + type: type, + matches: match + } ); + soFar = soFar.slice( matched.length ); + } + } + + if ( !matched ) { + break; + } + } + + // Return the length of the invalid excess + // if we're just parsing + // Otherwise, throw an error or return tokens + return parseOnly ? + soFar.length : + soFar ? + Sizzle.error( selector ) : + // Cache the tokens + tokenCache( selector, groups ).slice( 0 ); +} + +function toSelector( tokens ) { + var i = 0, + len = tokens.length, + selector = ""; + for ( ; i < len; i++ ) { + selector += tokens[i].value; + } + return selector; +} + +function addCombinator( matcher, combinator, base ) { + var dir = combinator.dir, + checkNonElements = base && dir === "parentNode", + doneName = done++; + + return combinator.first ? + // Check against closest ancestor/preceding element + function( elem, context, xml ) { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + return matcher( elem, context, xml ); + } + } + } : + + // Check against all ancestor/preceding elements + function( elem, context, xml ) { + var data, cache, outerCache, + dirkey = dirruns + " " + doneName; + + // We can't set arbitrary data on XML nodes, so they don't benefit from dir caching + if ( xml ) { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + if ( matcher( elem, context, xml ) ) { + return true; + } + } + } + } else { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + outerCache = elem[ expando ] || (elem[ expando ] = {}); + if ( (cache = outerCache[ dir ]) && cache[0] === dirkey ) { + if ( (data = cache[1]) === true || data === cachedruns ) { + return data === true; + } + } else { + cache = outerCache[ dir ] = [ dirkey ]; + cache[1] = matcher( elem, context, xml ) || cachedruns; + if ( cache[1] === true ) { + return true; + } + } + } + } + } + }; +} + +function elementMatcher( matchers ) { + return matchers.length > 1 ? + function( elem, context, xml ) { + var i = matchers.length; + while ( i-- ) { + if ( !matchers[i]( elem, context, xml ) ) { + return false; + } + } + return true; + } : + matchers[0]; +} + +function condense( unmatched, map, filter, context, xml ) { + var elem, + newUnmatched = [], + i = 0, + len = unmatched.length, + mapped = map != null; + + for ( ; i < len; i++ ) { + if ( (elem = unmatched[i]) ) { + if ( !filter || filter( elem, context, xml ) ) { + newUnmatched.push( elem ); + if ( mapped ) { + map.push( i ); + } + } + } + } + + return newUnmatched; +} + +function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { + if ( postFilter && !postFilter[ expando ] ) { + postFilter = setMatcher( postFilter ); + } + if ( postFinder && !postFinder[ expando ] ) { + postFinder = setMatcher( postFinder, postSelector ); + } + return markFunction(function( seed, results, context, xml ) { + var temp, i, elem, + preMap = [], + postMap = [], + preexisting = results.length, + + // Get initial elements from seed or context + elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), + + // Prefilter to get matcher input, preserving a map for seed-results synchronization + matcherIn = preFilter && ( seed || !selector ) ? + condense( elems, preMap, preFilter, context, xml ) : + elems, + + matcherOut = matcher ? + // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, + postFinder || ( seed ? preFilter : preexisting || postFilter ) ? + + // ...intermediate processing is necessary + [] : + + // ...otherwise use results directly + results : + matcherIn; + + // Find primary matches + if ( matcher ) { + matcher( matcherIn, matcherOut, context, xml ); + } + + // Apply postFilter + if ( postFilter ) { + temp = condense( matcherOut, postMap ); + postFilter( temp, [], context, xml ); + + // Un-match failing elements by moving them back to matcherIn + i = temp.length; + while ( i-- ) { + if ( (elem = temp[i]) ) { + matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); + } + } + } + + if ( seed ) { + if ( postFinder || preFilter ) { + if ( postFinder ) { + // Get the final matcherOut by condensing this intermediate into postFinder contexts + temp = []; + i = matcherOut.length; + while ( i-- ) { + if ( (elem = matcherOut[i]) ) { + // Restore matcherIn since elem is not yet a final match + temp.push( (matcherIn[i] = elem) ); + } + } + postFinder( null, (matcherOut = []), temp, xml ); + } + + // Move matched elements from seed to results to keep them synchronized + i = matcherOut.length; + while ( i-- ) { + if ( (elem = matcherOut[i]) && + (temp = postFinder ? indexOf.call( seed, elem ) : preMap[i]) > -1 ) { + + seed[temp] = !(results[temp] = elem); + } + } + } + + // Add elements to results, through postFinder if defined + } else { + matcherOut = condense( + matcherOut === results ? + matcherOut.splice( preexisting, matcherOut.length ) : + matcherOut + ); + if ( postFinder ) { + postFinder( null, results, matcherOut, xml ); + } else { + push.apply( results, matcherOut ); + } + } + }); +} + +function matcherFromTokens( tokens ) { + var checkContext, matcher, j, + len = tokens.length, + leadingRelative = Expr.relative[ tokens[0].type ], + implicitRelative = leadingRelative || Expr.relative[" "], + i = leadingRelative ? 1 : 0, + + // The foundational matcher ensures that elements are reachable from top-level context(s) + matchContext = addCombinator( function( elem ) { + return elem === checkContext; + }, implicitRelative, true ), + matchAnyContext = addCombinator( function( elem ) { + return indexOf.call( checkContext, elem ) > -1; + }, implicitRelative, true ), + matchers = [ function( elem, context, xml ) { + return ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( + (checkContext = context).nodeType ? + matchContext( elem, context, xml ) : + matchAnyContext( elem, context, xml ) ); + } ]; + + for ( ; i < len; i++ ) { + if ( (matcher = Expr.relative[ tokens[i].type ]) ) { + matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; + } else { + matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); + + // Return special upon seeing a positional matcher + if ( matcher[ expando ] ) { + // Find the next relative operator (if any) for proper handling + j = ++i; + for ( ; j < len; j++ ) { + if ( Expr.relative[ tokens[j].type ] ) { + break; + } + } + return setMatcher( + i > 1 && elementMatcher( matchers ), + i > 1 && toSelector( tokens.slice( 0, i - 1 ) ).replace( rtrim, "$1" ), + matcher, + i < j && matcherFromTokens( tokens.slice( i, j ) ), + j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), + j < len && toSelector( tokens ) + ); + } + matchers.push( matcher ); + } + } + + return elementMatcher( matchers ); +} + +function matcherFromGroupMatchers( elementMatchers, setMatchers ) { + // A counter to specify which element is currently being matched + var matcherCachedRuns = 0, + bySet = setMatchers.length > 0, + byElement = elementMatchers.length > 0, + superMatcher = function( seed, context, xml, results, expandContext ) { + var elem, j, matcher, + setMatched = [], + matchedCount = 0, + i = "0", + unmatched = seed && [], + outermost = expandContext != null, + contextBackup = outermostContext, + // We must always have either seed elements or context + elems = seed || byElement && Expr.find["TAG"]( "*", expandContext && context.parentNode || context ), + // Use integer dirruns iff this is the outermost matcher + dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1); + + if ( outermost ) { + outermostContext = context !== document && context; + cachedruns = matcherCachedRuns; + } + + // Add elements passing elementMatchers directly to results + // Keep `i` a string if there are no elements so `matchedCount` will be "00" below + for ( ; (elem = elems[i]) != null; i++ ) { + if ( byElement && elem ) { + j = 0; + while ( (matcher = elementMatchers[j++]) ) { + if ( matcher( elem, context, xml ) ) { + results.push( elem ); + break; + } + } + if ( outermost ) { + dirruns = dirrunsUnique; + cachedruns = ++matcherCachedRuns; + } + } + + // Track unmatched elements for set filters + if ( bySet ) { + // They will have gone through all possible matchers + if ( (elem = !matcher && elem) ) { + matchedCount--; + } + + // Lengthen the array for every element, matched or not + if ( seed ) { + unmatched.push( elem ); + } + } + } + + // Apply set filters to unmatched elements + matchedCount += i; + if ( bySet && i !== matchedCount ) { + j = 0; + while ( (matcher = setMatchers[j++]) ) { + matcher( unmatched, setMatched, context, xml ); + } + + if ( seed ) { + // Reintegrate element matches to eliminate the need for sorting + if ( matchedCount > 0 ) { + while ( i-- ) { + if ( !(unmatched[i] || setMatched[i]) ) { + setMatched[i] = pop.call( results ); + } + } + } + + // Discard index placeholder values to get only actual matches + setMatched = condense( setMatched ); + } + + // Add matches to results + push.apply( results, setMatched ); + + // Seedless set matches succeeding multiple successful matchers stipulate sorting + if ( outermost && !seed && setMatched.length > 0 && + ( matchedCount + setMatchers.length ) > 1 ) { + + Sizzle.uniqueSort( results ); + } + } + + // Override manipulation of globals by nested matchers + if ( outermost ) { + dirruns = dirrunsUnique; + outermostContext = contextBackup; + } + + return unmatched; + }; + + return bySet ? + markFunction( superMatcher ) : + superMatcher; +} + +compile = Sizzle.compile = function( selector, group /* Internal Use Only */ ) { + var i, + setMatchers = [], + elementMatchers = [], + cached = compilerCache[ selector + " " ]; + + if ( !cached ) { + // Generate a function of recursive functions that can be used to check each element + if ( !group ) { + group = tokenize( selector ); + } + i = group.length; + while ( i-- ) { + cached = matcherFromTokens( group[i] ); + if ( cached[ expando ] ) { + setMatchers.push( cached ); + } else { + elementMatchers.push( cached ); + } + } + + // Cache the compiled function + cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); + } + return cached; +}; + +function multipleContexts( selector, contexts, results ) { + var i = 0, + len = contexts.length; + for ( ; i < len; i++ ) { + Sizzle( selector, contexts[i], results ); + } + return results; +} + +function select( selector, context, results, seed ) { + var i, tokens, token, type, find, + match = tokenize( selector ); + + if ( !seed ) { + // Try to minimize operations if there is only one group + if ( match.length === 1 ) { + + // Take a shortcut and set the context if the root selector is an ID + tokens = match[0] = match[0].slice( 0 ); + if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && + context.nodeType === 9 && documentIsHTML && + Expr.relative[ tokens[1].type ] ) { + + context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; + if ( !context ) { + return results; + } + + selector = selector.slice( tokens.shift().value.length ); + } + + // Fetch a seed set for right-to-left matching + i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; + while ( i-- ) { + token = tokens[i]; + + // Abort if we hit a combinator + if ( Expr.relative[ (type = token.type) ] ) { + break; + } + if ( (find = Expr.find[ type ]) ) { + // Search, expanding context for leading sibling combinators + if ( (seed = find( + token.matches[0].replace( runescape, funescape ), + rsibling.test( tokens[0].type ) && context.parentNode || context + )) ) { + + // If seed is empty or no tokens remain, we can return early + tokens.splice( i, 1 ); + selector = seed.length && toSelector( tokens ); + if ( !selector ) { + push.apply( results, seed ); + return results; + } + + break; + } + } + } + } + } + + // Compile and execute a filtering function + // Provide `match` to avoid retokenization if we modified the selector above + compile( selector, match )( + seed, + context, + !documentIsHTML, + results, + rsibling.test( selector ) + ); + return results; +} + +// Deprecated +Expr.pseudos["nth"] = Expr.pseudos["eq"]; + +// Easy API for creating new setFilters +function setFilters() {} +setFilters.prototype = Expr.filters = Expr.pseudos; +Expr.setFilters = new setFilters(); + +// One-time assignments + +// Sort stability +support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; + +// Initialize against the default document +setDocument(); + +// Support: Chrome<<14 +// Always assume duplicates if they aren't passed to the comparison function +[0, 0].sort( sortOrder ); +support.detectDuplicates = hasDuplicate; + +// Support: IE<8 +// Prevent attribute/property "interpolation" +assert(function( div ) { + div.innerHTML = "<a href='#'></a>"; + if ( div.firstChild.getAttribute("href") !== "#" ) { + var attrs = "type|href|height|width".split("|"), + i = attrs.length; + while ( i-- ) { + Expr.attrHandle[ attrs[i] ] = interpolationHandler; + } + } +}); + +// Support: IE<9 +// Use getAttributeNode to fetch booleans when getAttribute lies +assert(function( div ) { + if ( div.getAttribute("disabled") != null ) { + var attrs = booleans.split("|"), + i = attrs.length; + while ( i-- ) { + Expr.attrHandle[ attrs[i] ] = boolHandler; + } + } +}); + +jQuery.find = Sizzle; +jQuery.expr = Sizzle.selectors; +jQuery.expr[":"] = jQuery.expr.pseudos; +jQuery.unique = Sizzle.uniqueSort; +jQuery.text = Sizzle.getText; +jQuery.isXMLDoc = Sizzle.isXML; +jQuery.contains = Sizzle.contains; + + +})( window ); +// String to Object options format cache +var optionsCache = {}; + +// Convert String-formatted options into Object-formatted ones and store in cache +function createOptions( options ) { + var object = optionsCache[ options ] = {}; + jQuery.each( options.match( core_rnotwhite ) || [], function( _, flag ) { + object[ flag ] = true; + }); + return object; +} + +/* + * Create a callback list using the following parameters: + * + * options: an optional list of space-separated options that will change how + * the callback list behaves or a more traditional option object + * + * By default a callback list will act like an event callback list and can be + * "fired" multiple times. + * + * Possible options: + * + * once: will ensure the callback list can only be fired once (like a Deferred) + * + * memory: will keep track of previous values and will call any callback added + * after the list has been fired right away with the latest "memorized" + * values (like a Deferred) + * + * unique: will ensure a callback can only be added once (no duplicate in the list) + * + * stopOnFalse: interrupt callings when a callback returns false + * + */ +jQuery.Callbacks = function( options ) { + + // Convert options from String-formatted to Object-formatted if needed + // (we check in cache first) + options = typeof options === "string" ? + ( optionsCache[ options ] || createOptions( options ) ) : + jQuery.extend( {}, options ); + + var // Last fire value (for non-forgettable lists) + memory, + // Flag to know if list was already fired + fired, + // Flag to know if list is currently firing + firing, + // First callback to fire (used internally by add and fireWith) + firingStart, + // End of the loop when firing + firingLength, + // Index of currently firing callback (modified by remove if needed) + firingIndex, + // Actual callback list + list = [], + // Stack of fire calls for repeatable lists + stack = !options.once && [], + // Fire callbacks + fire = function( data ) { + memory = options.memory && data; + fired = true; + firingIndex = firingStart || 0; + firingStart = 0; + firingLength = list.length; + firing = true; + for ( ; list && firingIndex < firingLength; firingIndex++ ) { + if ( list[ firingIndex ].apply( data[ 0 ], data[ 1 ] ) === false && options.stopOnFalse ) { + memory = false; // To prevent further calls using add + break; + } + } + firing = false; + if ( list ) { + if ( stack ) { + if ( stack.length ) { + fire( stack.shift() ); + } + } else if ( memory ) { + list = []; + } else { + self.disable(); + } + } + }, + // Actual Callbacks object + self = { + // Add a callback or a collection of callbacks to the list + add: function() { + if ( list ) { + // First, we save the current length + var start = list.length; + (function add( args ) { + jQuery.each( args, function( _, arg ) { + var type = jQuery.type( arg ); + if ( type === "function" ) { + if ( !options.unique || !self.has( arg ) ) { + list.push( arg ); + } + } else if ( arg && arg.length && type !== "string" ) { + // Inspect recursively + add( arg ); + } + }); + })( arguments ); + // Do we need to add the callbacks to the + // current firing batch? + if ( firing ) { + firingLength = list.length; + // With memory, if we're not firing then + // we should call right away + } else if ( memory ) { + firingStart = start; + fire( memory ); + } + } + return this; + }, + // Remove a callback from the list + remove: function() { + if ( list ) { + jQuery.each( arguments, function( _, arg ) { + var index; + while( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { + list.splice( index, 1 ); + // Handle firing indexes + if ( firing ) { + if ( index <= firingLength ) { + firingLength--; + } + if ( index <= firingIndex ) { + firingIndex--; + } + } + } + }); + } + return this; + }, + // Check if a given callback is in the list. + // If no argument is given, return whether or not list has callbacks attached. + has: function( fn ) { + return fn ? jQuery.inArray( fn, list ) > -1 : !!( list && list.length ); + }, + // Remove all callbacks from the list + empty: function() { + list = []; + firingLength = 0; + return this; + }, + // Have the list do nothing anymore + disable: function() { + list = stack = memory = undefined; + return this; + }, + // Is it disabled? + disabled: function() { + return !list; + }, + // Lock the list in its current state + lock: function() { + stack = undefined; + if ( !memory ) { + self.disable(); + } + return this; + }, + // Is it locked? + locked: function() { + return !stack; + }, + // Call all callbacks with the given context and arguments + fireWith: function( context, args ) { + args = args || []; + args = [ context, args.slice ? args.slice() : args ]; + if ( list && ( !fired || stack ) ) { + if ( firing ) { + stack.push( args ); + } else { + fire( args ); + } + } + return this; + }, + // Call all the callbacks with the given arguments + fire: function() { + self.fireWith( this, arguments ); + return this; + }, + // To know if the callbacks have already been called at least once + fired: function() { + return !!fired; + } + }; + + return self; +}; +jQuery.extend({ + + Deferred: function( func ) { + var tuples = [ + // action, add listener, listener list, final state + [ "resolve", "done", jQuery.Callbacks("once memory"), "resolved" ], + [ "reject", "fail", jQuery.Callbacks("once memory"), "rejected" ], + [ "notify", "progress", jQuery.Callbacks("memory") ] + ], + state = "pending", + promise = { + state: function() { + return state; + }, + always: function() { + deferred.done( arguments ).fail( arguments ); + return this; + }, + then: function( /* fnDone, fnFail, fnProgress */ ) { + var fns = arguments; + return jQuery.Deferred(function( newDefer ) { + jQuery.each( tuples, function( i, tuple ) { + var action = tuple[ 0 ], + fn = jQuery.isFunction( fns[ i ] ) && fns[ i ]; + // deferred[ done | fail | progress ] for forwarding actions to newDefer + deferred[ tuple[1] ](function() { + var returned = fn && fn.apply( this, arguments ); + if ( returned && jQuery.isFunction( returned.promise ) ) { + returned.promise() + .done( newDefer.resolve ) + .fail( newDefer.reject ) + .progress( newDefer.notify ); + } else { + newDefer[ action + "With" ]( this === promise ? newDefer.promise() : this, fn ? [ returned ] : arguments ); + } + }); + }); + fns = null; + }).promise(); + }, + // Get a promise for this deferred + // If obj is provided, the promise aspect is added to the object + promise: function( obj ) { + return obj != null ? jQuery.extend( obj, promise ) : promise; + } + }, + deferred = {}; + + // Keep pipe for back-compat + promise.pipe = promise.then; + + // Add list-specific methods + jQuery.each( tuples, function( i, tuple ) { + var list = tuple[ 2 ], + stateString = tuple[ 3 ]; + + // promise[ done | fail | progress ] = list.add + promise[ tuple[1] ] = list.add; + + // Handle state + if ( stateString ) { + list.add(function() { + // state = [ resolved | rejected ] + state = stateString; + + // [ reject_list | resolve_list ].disable; progress_list.lock + }, tuples[ i ^ 1 ][ 2 ].disable, tuples[ 2 ][ 2 ].lock ); + } + + // deferred[ resolve | reject | notify ] + deferred[ tuple[0] ] = function() { + deferred[ tuple[0] + "With" ]( this === deferred ? promise : this, arguments ); + return this; + }; + deferred[ tuple[0] + "With" ] = list.fireWith; + }); + + // Make the deferred a promise + promise.promise( deferred ); + + // Call given func if any + if ( func ) { + func.call( deferred, deferred ); + } + + // All done! + return deferred; + }, + + // Deferred helper + when: function( subordinate /* , ..., subordinateN */ ) { + var i = 0, + resolveValues = core_slice.call( arguments ), + length = resolveValues.length, + + // the count of uncompleted subordinates + remaining = length !== 1 || ( subordinate && jQuery.isFunction( subordinate.promise ) ) ? length : 0, + + // the master Deferred. If resolveValues consist of only a single Deferred, just use that. + deferred = remaining === 1 ? subordinate : jQuery.Deferred(), + + // Update function for both resolve and progress values + updateFunc = function( i, contexts, values ) { + return function( value ) { + contexts[ i ] = this; + values[ i ] = arguments.length > 1 ? core_slice.call( arguments ) : value; + if( values === progressValues ) { + deferred.notifyWith( contexts, values ); + } else if ( !( --remaining ) ) { + deferred.resolveWith( contexts, values ); + } + }; + }, + + progressValues, progressContexts, resolveContexts; + + // add listeners to Deferred subordinates; treat others as resolved + if ( length > 1 ) { + progressValues = new Array( length ); + progressContexts = new Array( length ); + resolveContexts = new Array( length ); + for ( ; i < length; i++ ) { + if ( resolveValues[ i ] && jQuery.isFunction( resolveValues[ i ].promise ) ) { + resolveValues[ i ].promise() + .done( updateFunc( i, resolveContexts, resolveValues ) ) + .fail( deferred.reject ) + .progress( updateFunc( i, progressContexts, progressValues ) ); + } else { + --remaining; + } + } + } + + // if we're not waiting on anything, resolve the master + if ( !remaining ) { + deferred.resolveWith( resolveContexts, resolveValues ); + } + + return deferred.promise(); + } +}); +jQuery.support = (function( support ) { + var input = document.createElement("input"), + fragment = document.createDocumentFragment(), + div = document.createElement("div"), + select = document.createElement("select"), + opt = select.appendChild( document.createElement("option") ); + + // Finish early in limited environments + if ( !input.type ) { + return support; + } + + input.type = "checkbox"; + + // Support: Safari 5.1, iOS 5.1, Android 4.x, Android 2.3 + // Check the default checkbox/radio value ("" on old WebKit; "on" elsewhere) + support.checkOn = input.value !== ""; + + // Must access the parent to make an option select properly + // Support: IE9, IE10 + support.optSelected = opt.selected; + + // Will be defined later + support.reliableMarginRight = true; + support.boxSizingReliable = true; + support.pixelPosition = false; + + // Make sure checked status is properly cloned + // Support: IE9, IE10 + input.checked = true; + support.noCloneChecked = input.cloneNode( true ).checked; + + // Make sure that the options inside disabled selects aren't marked as disabled + // (WebKit marks them as disabled) + select.disabled = true; + support.optDisabled = !opt.disabled; + + // Check if an input maintains its value after becoming a radio + // Support: IE9, IE10 + input = document.createElement("input"); + input.value = "t"; + input.type = "radio"; + support.radioValue = input.value === "t"; + + // #11217 - WebKit loses check when the name is after the checked attribute + input.setAttribute( "checked", "t" ); + input.setAttribute( "name", "t" ); + + fragment.appendChild( input ); + + // Support: Safari 5.1, Android 4.x, Android 2.3 + // old WebKit doesn't clone checked state correctly in fragments + support.checkClone = fragment.cloneNode( true ).cloneNode( true ).lastChild.checked; + + // Support: Firefox, Chrome, Safari + // Beware of CSP restrictions (https://developer.mozilla.org/en/Security/CSP) + support.focusinBubbles = "onfocusin" in window; + + div.style.backgroundClip = "content-box"; + div.cloneNode( true ).style.backgroundClip = ""; + support.clearCloneStyle = div.style.backgroundClip === "content-box"; + + // Run tests that need a body at doc ready + jQuery(function() { + var container, marginDiv, + // Support: Firefox, Android 2.3 (Prefixed box-sizing versions). + divReset = "padding:0;margin:0;border:0;display:block;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box", + body = document.getElementsByTagName("body")[ 0 ]; + + if ( !body ) { + // Return for frameset docs that don't have a body + return; + } + + container = document.createElement("div"); + container.style.cssText = "border:0;width:0;height:0;position:absolute;top:0;left:-9999px;margin-top:1px"; + + // Check box-sizing and margin behavior. + body.appendChild( container ).appendChild( div ); + div.innerHTML = ""; + // Support: Firefox, Android 2.3 (Prefixed box-sizing versions). + div.style.cssText = "-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:1px;border:1px;display:block;width:4px;margin-top:1%;position:absolute;top:1%"; + + // Workaround failing boxSizing test due to offsetWidth returning wrong value + // with some non-1 values of body zoom, ticket #13543 + jQuery.swap( body, body.style.zoom != null ? { zoom: 1 } : {}, function() { + support.boxSizing = div.offsetWidth === 4; + }); + + // Use window.getComputedStyle because jsdom on node.js will break without it. + if ( window.getComputedStyle ) { + support.pixelPosition = ( window.getComputedStyle( div, null ) || {} ).top !== "1%"; + support.boxSizingReliable = ( window.getComputedStyle( div, null ) || { width: "4px" } ).width === "4px"; + + // Support: Android 2.3 + // Check if div with explicit width and no margin-right incorrectly + // gets computed margin-right based on width of container. (#3333) + // WebKit Bug 13343 - getComputedStyle returns wrong value for margin-right + marginDiv = div.appendChild( document.createElement("div") ); + marginDiv.style.cssText = div.style.cssText = divReset; + marginDiv.style.marginRight = marginDiv.style.width = "0"; + div.style.width = "1px"; + + support.reliableMarginRight = + !parseFloat( ( window.getComputedStyle( marginDiv, null ) || {} ).marginRight ); + } + + body.removeChild( container ); + }); + + return support; +})( {} ); + +/* + Implementation Summary + + 1. Enforce API surface and semantic compatibility with 1.9.x branch + 2. Improve the module's maintainability by reducing the storage + paths to a single mechanism. + 3. Use the same single mechanism to support "private" and "user" data. + 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) + 5. Avoid exposing implementation details on user objects (eg. expando properties) + 6. Provide a clear path for implementation upgrade to WeakMap in 2014 +*/ +var data_user, data_priv, + rbrace = /(?:\{[\s\S]*\}|\[[\s\S]*\])$/, + rmultiDash = /([A-Z])/g; + +function Data() { + // Support: Android < 4, + // Old WebKit does not have Object.preventExtensions/freeze method, + // return new empty object instead with no [[set]] accessor + Object.defineProperty( this.cache = {}, 0, { + get: function() { + return {}; + } + }); + + this.expando = jQuery.expando + Math.random(); +} + +Data.uid = 1; + +Data.accepts = function( owner ) { + // Accepts only: + // - Node + // - Node.ELEMENT_NODE + // - Node.DOCUMENT_NODE + // - Object + // - Any + return owner.nodeType ? + owner.nodeType === 1 || owner.nodeType === 9 : true; +}; + +Data.prototype = { + key: function( owner ) { + // We can accept data for non-element nodes in modern browsers, + // but we should not, see #8335. + // Always return the key for a frozen object. + if ( !Data.accepts( owner ) ) { + return 0; + } + + var descriptor = {}, + // Check if the owner object already has a cache key + unlock = owner[ this.expando ]; + + // If not, create one + if ( !unlock ) { + unlock = Data.uid++; + + // Secure it in a non-enumerable, non-writable property + try { + descriptor[ this.expando ] = { value: unlock }; + Object.defineProperties( owner, descriptor ); + + // Support: Android < 4 + // Fallback to a less secure definition + } catch ( e ) { + descriptor[ this.expando ] = unlock; + jQuery.extend( owner, descriptor ); + } + } + + // Ensure the cache object + if ( !this.cache[ unlock ] ) { + this.cache[ unlock ] = {}; + } + + return unlock; + }, + set: function( owner, data, value ) { + var prop, + // There may be an unlock assigned to this node, + // if there is no entry for this "owner", create one inline + // and set the unlock as though an owner entry had always existed + unlock = this.key( owner ), + cache = this.cache[ unlock ]; + + // Handle: [ owner, key, value ] args + if ( typeof data === "string" ) { + cache[ data ] = value; + + // Handle: [ owner, { properties } ] args + } else { + // Support an expectation from the old data system where plain + // objects used to initialize would be set to the cache by + // reference, instead of having properties and values copied. + // Note, this will kill the connection between + // "this.cache[ unlock ]" and "cache" + if ( jQuery.isEmptyObject( cache ) ) { + this.cache[ unlock ] = data; + // Otherwise, copy the properties one-by-one to the cache object + } else { + for ( prop in data ) { + cache[ prop ] = data[ prop ]; + } + } + } + }, + get: function( owner, key ) { + // Either a valid cache is found, or will be created. + // New caches will be created and the unlock returned, + // allowing direct access to the newly created + // empty data object. A valid owner object must be provided. + var cache = this.cache[ this.key( owner ) ]; + + return key === undefined ? + cache : cache[ key ]; + }, + access: function( owner, key, value ) { + // In cases where either: + // + // 1. No key was specified + // 2. A string key was specified, but no value provided + // + // Take the "read" path and allow the get method to determine + // which value to return, respectively either: + // + // 1. The entire cache object + // 2. The data stored at the key + // + if ( key === undefined || + ((key && typeof key === "string") && value === undefined) ) { + return this.get( owner, key ); + } + + // [*]When the key is not a string, or both a key and value + // are specified, set or extend (existing objects) with either: + // + // 1. An object of properties + // 2. A key and value + // + this.set( owner, key, value ); + + // Since the "set" path can have two possible entry points + // return the expected data based on which path was taken[*] + return value !== undefined ? value : key; + }, + remove: function( owner, key ) { + var i, name, + unlock = this.key( owner ), + cache = this.cache[ unlock ]; + + if ( key === undefined ) { + this.cache[ unlock ] = {}; + + } else { + // Support array or space separated string of keys + if ( jQuery.isArray( key ) ) { + // If "name" is an array of keys... + // When data is initially created, via ("key", "val") signature, + // keys will be converted to camelCase. + // Since there is no way to tell _how_ a key was added, remove + // both plain key and camelCase key. #12786 + // This will only penalize the array argument path. + name = key.concat( key.map( jQuery.camelCase ) ); + } else { + // Try the string as a key before any manipulation + if ( key in cache ) { + name = [ key ]; + } else { + // If a key with the spaces exists, use it. + // Otherwise, create an array by matching non-whitespace + name = jQuery.camelCase( key ); + name = name in cache ? + [ name ] : ( name.match( core_rnotwhite ) || [] ); + } + } + + i = name.length; + while ( i-- ) { + delete cache[ name[ i ] ]; + } + } + }, + hasData: function( owner ) { + return !jQuery.isEmptyObject( + this.cache[ owner[ this.expando ] ] || {} + ); + }, + discard: function( owner ) { + delete this.cache[ this.key( owner ) ]; + } +}; + +// These may be used throughout the jQuery core codebase +data_user = new Data(); +data_priv = new Data(); + + +jQuery.extend({ + acceptData: Data.accepts, + + hasData: function( elem ) { + return data_user.hasData( elem ) || data_priv.hasData( elem ); + }, + + data: function( elem, name, data ) { + return data_user.access( elem, name, data ); + }, + + removeData: function( elem, name ) { + data_user.remove( elem, name ); + }, + + // TODO: Now that all calls to _data and _removeData have been replaced + // with direct calls to data_priv methods, these can be deprecated. + _data: function( elem, name, data ) { + return data_priv.access( elem, name, data ); + }, + + _removeData: function( elem, name ) { + data_priv.remove( elem, name ); + } +}); + +jQuery.fn.extend({ + data: function( key, value ) { + var attrs, name, + elem = this[ 0 ], + i = 0, + data = null; + + // Gets all values + if ( key === undefined ) { + if ( this.length ) { + data = data_user.get( elem ); + + if ( elem.nodeType === 1 && !data_priv.get( elem, "hasDataAttrs" ) ) { + attrs = elem.attributes; + for ( ; i < attrs.length; i++ ) { + name = attrs[ i ].name; + + if ( name.indexOf( "data-" ) === 0 ) { + name = jQuery.camelCase( name.substring(5) ); + dataAttr( elem, name, data[ name ] ); + } + } + data_priv.set( elem, "hasDataAttrs", true ); + } + } + + return data; + } + + // Sets multiple values + if ( typeof key === "object" ) { + return this.each(function() { + data_user.set( this, key ); + }); + } + + return jQuery.access( this, function( value ) { + var data, + camelKey = jQuery.camelCase( key ); + + // The calling jQuery object (element matches) is not empty + // (and therefore has an element appears at this[ 0 ]) and the + // `value` parameter was not undefined. An empty jQuery object + // will result in `undefined` for elem = this[ 0 ] which will + // throw an exception if an attempt to read a data cache is made. + if ( elem && value === undefined ) { + // Attempt to get data from the cache + // with the key as-is + data = data_user.get( elem, key ); + if ( data !== undefined ) { + return data; + } + + // Attempt to get data from the cache + // with the key camelized + data = data_user.get( elem, camelKey ); + if ( data !== undefined ) { + return data; + } + + // Attempt to "discover" the data in + // HTML5 custom data-* attrs + data = dataAttr( elem, camelKey, undefined ); + if ( data !== undefined ) { + return data; + } + + // We tried really hard, but the data doesn't exist. + return; + } + + // Set the data... + this.each(function() { + // First, attempt to store a copy or reference of any + // data that might've been store with a camelCased key. + var data = data_user.get( this, camelKey ); + + // For HTML5 data-* attribute interop, we have to + // store property names with dashes in a camelCase form. + // This might not apply to all properties...* + data_user.set( this, camelKey, value ); + + // *... In the case of properties that might _actually_ + // have dashes, we need to also store a copy of that + // unchanged property. + if ( key.indexOf("-") !== -1 && data !== undefined ) { + data_user.set( this, key, value ); + } + }); + }, null, value, arguments.length > 1, null, true ); + }, + + removeData: function( key ) { + return this.each(function() { + data_user.remove( this, key ); + }); + } +}); + +function dataAttr( elem, key, data ) { + var name; + + // If nothing was found internally, try to fetch any + // data from the HTML5 data-* attribute + if ( data === undefined && elem.nodeType === 1 ) { + name = "data-" + key.replace( rmultiDash, "-$1" ).toLowerCase(); + data = elem.getAttribute( name ); + + if ( typeof data === "string" ) { + try { + data = data === "true" ? true : + data === "false" ? false : + data === "null" ? null : + // Only convert to a number if it doesn't change the string + +data + "" === data ? +data : + rbrace.test( data ) ? JSON.parse( data ) : + data; + } catch( e ) {} + + // Make sure we set the data so it isn't changed later + data_user.set( elem, key, data ); + } else { + data = undefined; + } + } + return data; +} +jQuery.extend({ + queue: function( elem, type, data ) { + var queue; + + if ( elem ) { + type = ( type || "fx" ) + "queue"; + queue = data_priv.get( elem, type ); + + // Speed up dequeue by getting out quickly if this is just a lookup + if ( data ) { + if ( !queue || jQuery.isArray( data ) ) { + queue = data_priv.access( elem, type, jQuery.makeArray(data) ); + } else { + queue.push( data ); + } + } + return queue || []; + } + }, + + dequeue: function( elem, type ) { + type = type || "fx"; + + var queue = jQuery.queue( elem, type ), + startLength = queue.length, + fn = queue.shift(), + hooks = jQuery._queueHooks( elem, type ), + next = function() { + jQuery.dequeue( elem, type ); + }; + + // If the fx queue is dequeued, always remove the progress sentinel + if ( fn === "inprogress" ) { + fn = queue.shift(); + startLength--; + } + + hooks.cur = fn; + if ( fn ) { + + // Add a progress sentinel to prevent the fx queue from being + // automatically dequeued + if ( type === "fx" ) { + queue.unshift( "inprogress" ); + } + + // clear up the last queue stop function + delete hooks.stop; + fn.call( elem, next, hooks ); + } + + if ( !startLength && hooks ) { + hooks.empty.fire(); + } + }, + + // not intended for public consumption - generates a queueHooks object, or returns the current one + _queueHooks: function( elem, type ) { + var key = type + "queueHooks"; + return data_priv.get( elem, key ) || data_priv.access( elem, key, { + empty: jQuery.Callbacks("once memory").add(function() { + data_priv.remove( elem, [ type + "queue", key ] ); + }) + }); + } +}); + +jQuery.fn.extend({ + queue: function( type, data ) { + var setter = 2; + + if ( typeof type !== "string" ) { + data = type; + type = "fx"; + setter--; + } + + if ( arguments.length < setter ) { + return jQuery.queue( this[0], type ); + } + + return data === undefined ? + this : + this.each(function() { + var queue = jQuery.queue( this, type, data ); + + // ensure a hooks for this queue + jQuery._queueHooks( this, type ); + + if ( type === "fx" && queue[0] !== "inprogress" ) { + jQuery.dequeue( this, type ); + } + }); + }, + dequeue: function( type ) { + return this.each(function() { + jQuery.dequeue( this, type ); + }); + }, + // Based off of the plugin by Clint Helfers, with permission. + // http://blindsignals.com/index.php/2009/07/jquery-delay/ + delay: function( time, type ) { + time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; + type = type || "fx"; + + return this.queue( type, function( next, hooks ) { + var timeout = setTimeout( next, time ); + hooks.stop = function() { + clearTimeout( timeout ); + }; + }); + }, + clearQueue: function( type ) { + return this.queue( type || "fx", [] ); + }, + // Get a promise resolved when queues of a certain type + // are emptied (fx is the type by default) + promise: function( type, obj ) { + var tmp, + count = 1, + defer = jQuery.Deferred(), + elements = this, + i = this.length, + resolve = function() { + if ( !( --count ) ) { + defer.resolveWith( elements, [ elements ] ); + } + }; + + if ( typeof type !== "string" ) { + obj = type; + type = undefined; + } + type = type || "fx"; + + while( i-- ) { + tmp = data_priv.get( elements[ i ], type + "queueHooks" ); + if ( tmp && tmp.empty ) { + count++; + tmp.empty.add( resolve ); + } + } + resolve(); + return defer.promise( obj ); + } +}); +var nodeHook, boolHook, + rclass = /[\t\r\n]/g, + rreturn = /\r/g, + rfocusable = /^(?:input|select|textarea|button)$/i; + +jQuery.fn.extend({ + attr: function( name, value ) { + return jQuery.access( this, jQuery.attr, name, value, arguments.length > 1 ); + }, + + removeAttr: function( name ) { + return this.each(function() { + jQuery.removeAttr( this, name ); + }); + }, + + prop: function( name, value ) { + return jQuery.access( this, jQuery.prop, name, value, arguments.length > 1 ); + }, + + removeProp: function( name ) { + return this.each(function() { + delete this[ jQuery.propFix[ name ] || name ]; + }); + }, + + addClass: function( value ) { + var classes, elem, cur, clazz, j, + i = 0, + len = this.length, + proceed = typeof value === "string" && value; + + if ( jQuery.isFunction( value ) ) { + return this.each(function( j ) { + jQuery( this ).addClass( value.call( this, j, this.className ) ); + }); + } + + if ( proceed ) { + // The disjunction here is for better compressibility (see removeClass) + classes = ( value || "" ).match( core_rnotwhite ) || []; + + for ( ; i < len; i++ ) { + elem = this[ i ]; + cur = elem.nodeType === 1 && ( elem.className ? + ( " " + elem.className + " " ).replace( rclass, " " ) : + " " + ); + + if ( cur ) { + j = 0; + while ( (clazz = classes[j++]) ) { + if ( cur.indexOf( " " + clazz + " " ) < 0 ) { + cur += clazz + " "; + } + } + elem.className = jQuery.trim( cur ); + + } + } + } + + return this; + }, + + removeClass: function( value ) { + var classes, elem, cur, clazz, j, + i = 0, + len = this.length, + proceed = arguments.length === 0 || typeof value === "string" && value; + + if ( jQuery.isFunction( value ) ) { + return this.each(function( j ) { + jQuery( this ).removeClass( value.call( this, j, this.className ) ); + }); + } + if ( proceed ) { + classes = ( value || "" ).match( core_rnotwhite ) || []; + + for ( ; i < len; i++ ) { + elem = this[ i ]; + // This expression is here for better compressibility (see addClass) + cur = elem.nodeType === 1 && ( elem.className ? + ( " " + elem.className + " " ).replace( rclass, " " ) : + "" + ); + + if ( cur ) { + j = 0; + while ( (clazz = classes[j++]) ) { + // Remove *all* instances + while ( cur.indexOf( " " + clazz + " " ) >= 0 ) { + cur = cur.replace( " " + clazz + " ", " " ); + } + } + elem.className = value ? jQuery.trim( cur ) : ""; + } + } + } + + return this; + }, + + toggleClass: function( value, stateVal ) { + var type = typeof value, + isBool = typeof stateVal === "boolean"; + + if ( jQuery.isFunction( value ) ) { + return this.each(function( i ) { + jQuery( this ).toggleClass( value.call(this, i, this.className, stateVal), stateVal ); + }); + } + + return this.each(function() { + if ( type === "string" ) { + // toggle individual class names + var className, + i = 0, + self = jQuery( this ), + state = stateVal, + classNames = value.match( core_rnotwhite ) || []; + + while ( (className = classNames[ i++ ]) ) { + // check each className given, space separated list + state = isBool ? state : !self.hasClass( className ); + self[ state ? "addClass" : "removeClass" ]( className ); + } + + // Toggle whole class name + } else if ( type === core_strundefined || type === "boolean" ) { + if ( this.className ) { + // store className if set + data_priv.set( this, "__className__", this.className ); + } + + // If the element has a class name or if we're passed "false", + // then remove the whole classname (if there was one, the above saved it). + // Otherwise bring back whatever was previously saved (if anything), + // falling back to the empty string if nothing was stored. + this.className = this.className || value === false ? "" : data_priv.get( this, "__className__" ) || ""; + } + }); + }, + + hasClass: function( selector ) { + var className = " " + selector + " ", + i = 0, + l = this.length; + for ( ; i < l; i++ ) { + if ( this[i].nodeType === 1 && (" " + this[i].className + " ").replace(rclass, " ").indexOf( className ) >= 0 ) { + return true; + } + } + + return false; + }, + + val: function( value ) { + var hooks, ret, isFunction, + elem = this[0]; + + if ( !arguments.length ) { + if ( elem ) { + hooks = jQuery.valHooks[ elem.type ] || jQuery.valHooks[ elem.nodeName.toLowerCase() ]; + + if ( hooks && "get" in hooks && (ret = hooks.get( elem, "value" )) !== undefined ) { + return ret; + } + + ret = elem.value; + + return typeof ret === "string" ? + // handle most common string cases + ret.replace(rreturn, "") : + // handle cases where value is null/undef or number + ret == null ? "" : ret; + } + + return; + } + + isFunction = jQuery.isFunction( value ); + + return this.each(function( i ) { + var val, + self = jQuery(this); + + if ( this.nodeType !== 1 ) { + return; + } + + if ( isFunction ) { + val = value.call( this, i, self.val() ); + } else { + val = value; + } + + // Treat null/undefined as ""; convert numbers to string + if ( val == null ) { + val = ""; + } else if ( typeof val === "number" ) { + val += ""; + } else if ( jQuery.isArray( val ) ) { + val = jQuery.map(val, function ( value ) { + return value == null ? "" : value + ""; + }); + } + + hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; + + // If set returns undefined, fall back to normal setting + if ( !hooks || !("set" in hooks) || hooks.set( this, val, "value" ) === undefined ) { + this.value = val; + } + }); + } +}); + +jQuery.extend({ + valHooks: { + option: { + get: function( elem ) { + // attributes.value is undefined in Blackberry 4.7 but + // uses .value. See #6932 + var val = elem.attributes.value; + return !val || val.specified ? elem.value : elem.text; + } + }, + select: { + get: function( elem ) { + var value, option, + options = elem.options, + index = elem.selectedIndex, + one = elem.type === "select-one" || index < 0, + values = one ? null : [], + max = one ? index + 1 : options.length, + i = index < 0 ? + max : + one ? index : 0; + + // Loop through all the selected options + for ( ; i < max; i++ ) { + option = options[ i ]; + + // IE6-9 doesn't update selected after form reset (#2551) + if ( ( option.selected || i === index ) && + // Don't return options that are disabled or in a disabled optgroup + ( jQuery.support.optDisabled ? !option.disabled : option.getAttribute("disabled") === null ) && + ( !option.parentNode.disabled || !jQuery.nodeName( option.parentNode, "optgroup" ) ) ) { + + // Get the specific value for the option + value = jQuery( option ).val(); + + // We don't need an array for one selects + if ( one ) { + return value; + } + + // Multi-Selects return an array + values.push( value ); + } + } + + return values; + }, + + set: function( elem, value ) { + var optionSet, option, + options = elem.options, + values = jQuery.makeArray( value ), + i = options.length; + + while ( i-- ) { + option = options[ i ]; + if ( (option.selected = jQuery.inArray( jQuery(option).val(), values ) >= 0) ) { + optionSet = true; + } + } + + // force browsers to behave consistently when non-matching value is set + if ( !optionSet ) { + elem.selectedIndex = -1; + } + return values; + } + } + }, + + attr: function( elem, name, value ) { + var hooks, ret, + nType = elem.nodeType; + + // don't get/set attributes on text, comment and attribute nodes + if ( !elem || nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + // Fallback to prop when attributes are not supported + if ( typeof elem.getAttribute === core_strundefined ) { + return jQuery.prop( elem, name, value ); + } + + // All attributes are lowercase + // Grab necessary hook if one is defined + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + name = name.toLowerCase(); + hooks = jQuery.attrHooks[ name ] || + ( jQuery.expr.match.boolean.test( name ) ? boolHook : nodeHook ); + } + + if ( value !== undefined ) { + + if ( value === null ) { + jQuery.removeAttr( elem, name ); + + } else if ( hooks && "set" in hooks && (ret = hooks.set( elem, value, name )) !== undefined ) { + return ret; + + } else { + elem.setAttribute( name, value + "" ); + return value; + } + + } else if ( hooks && "get" in hooks && (ret = hooks.get( elem, name )) !== null ) { + return ret; + + } else { + ret = jQuery.find.attr( elem, name ); + + // Non-existent attributes return null, we normalize to undefined + return ret == null ? + undefined : + ret; + } + }, + + removeAttr: function( elem, value ) { + var name, propName, + i = 0, + attrNames = value && value.match( core_rnotwhite ); + + if ( attrNames && elem.nodeType === 1 ) { + while ( (name = attrNames[i++]) ) { + propName = jQuery.propFix[ name ] || name; + + // Boolean attributes get special treatment (#10870) + if ( jQuery.expr.match.boolean.test( name ) ) { + // Set corresponding property to false + elem[ propName ] = false; + } + + elem.removeAttribute( name ); + } + } + }, + + attrHooks: { + type: { + set: function( elem, value ) { + if ( !jQuery.support.radioValue && value === "radio" && jQuery.nodeName(elem, "input") ) { + // Setting the type on a radio button after the value resets the value in IE6-9 + // Reset value to default in case type is set after value during creation + var val = elem.value; + elem.setAttribute( "type", value ); + if ( val ) { + elem.value = val; + } + return value; + } + } + } + }, + + propFix: { + "for": "htmlFor", + "class": "className" + }, + + prop: function( elem, name, value ) { + var ret, hooks, notxml, + nType = elem.nodeType; + + // don't get/set properties on text, comment and attribute nodes + if ( !elem || nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + notxml = nType !== 1 || !jQuery.isXMLDoc( elem ); + + if ( notxml ) { + // Fix name and attach hooks + name = jQuery.propFix[ name ] || name; + hooks = jQuery.propHooks[ name ]; + } + + if ( value !== undefined ) { + return hooks && "set" in hooks && (ret = hooks.set( elem, value, name )) !== undefined ? + ret : + ( elem[ name ] = value ); + + } else { + return hooks && "get" in hooks && (ret = hooks.get( elem, name )) !== null ? + ret : + elem[ name ]; + } + }, + + propHooks: { + tabIndex: { + get: function( elem ) { + return elem.hasAttribute( "tabindex" ) || rfocusable.test( elem.nodeName ) || elem.href ? + elem.tabIndex : + -1; + } + } + } +}); + +// Hooks for boolean attributes +boolHook = { + set: function( elem, value, name ) { + if ( value === false ) { + // Remove boolean attributes when set to false + jQuery.removeAttr( elem, name ); + } else { + elem.setAttribute( name, name ); + } + return name; + } +}; +jQuery.each( jQuery.expr.match.boolean.source.match( /\w+/g ), function( i, name ) { + var getter = jQuery.expr.attrHandle[ name ] || jQuery.find.attr; + + jQuery.expr.attrHandle[ name ] = function( elem, name, isXML ) { + var fn = jQuery.expr.attrHandle[ name ], + ret = isXML ? + undefined : + /* jshint eqeqeq: false */ + // Temporarily disable this handler to check existence + (jQuery.expr.attrHandle[ name ] = undefined) != + getter( elem, name, isXML ) ? + + name.toLowerCase() : + null; + + // Restore handler + jQuery.expr.attrHandle[ name ] = fn; + + return ret; + }; +}); + +// Support: IE9+ +// Selectedness for an option in an optgroup can be inaccurate +if ( !jQuery.support.optSelected ) { + jQuery.propHooks.selected = { + get: function( elem ) { + var parent = elem.parentNode; + if ( parent && parent.parentNode ) { + parent.parentNode.selectedIndex; + } + return null; + } + }; +} + +jQuery.each([ + "tabIndex", + "readOnly", + "maxLength", + "cellSpacing", + "cellPadding", + "rowSpan", + "colSpan", + "useMap", + "frameBorder", + "contentEditable" +], function() { + jQuery.propFix[ this.toLowerCase() ] = this; +}); + +// Radios and checkboxes getter/setter +jQuery.each([ "radio", "checkbox" ], function() { + jQuery.valHooks[ this ] = { + set: function( elem, value ) { + if ( jQuery.isArray( value ) ) { + return ( elem.checked = jQuery.inArray( jQuery(elem).val(), value ) >= 0 ); + } + } + }; + if ( !jQuery.support.checkOn ) { + jQuery.valHooks[ this ].get = function( elem ) { + // Support: Webkit + // "" is returned instead of "on" if a value isn't specified + return elem.getAttribute("value") === null ? "on" : elem.value; + }; + } +}); +var rkeyEvent = /^key/, + rmouseEvent = /^(?:mouse|contextmenu)|click/, + rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, + rtypenamespace = /^([^.]*)(?:\.(.+)|)$/; + +function returnTrue() { + return true; +} + +function returnFalse() { + return false; +} + +function safeActiveElement() { + try { + return document.activeElement; + } catch ( err ) { } +} + +/* + * Helper functions for managing events -- not part of the public interface. + * Props to Dean Edwards' addEvent library for many of the ideas. + */ +jQuery.event = { + + global: {}, + + add: function( elem, types, handler, data, selector ) { + + var handleObjIn, eventHandle, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = data_priv.get( elem ); + + // Don't attach events to noData or text/comment nodes (but allow plain objects) + if ( !elemData ) { + return; + } + + // Caller can pass in an object of custom data in lieu of the handler + if ( handler.handler ) { + handleObjIn = handler; + handler = handleObjIn.handler; + selector = handleObjIn.selector; + } + + // Make sure that the handler has a unique ID, used to find/remove it later + if ( !handler.guid ) { + handler.guid = jQuery.guid++; + } + + // Init the element's event structure and main handler, if this is the first + if ( !(events = elemData.events) ) { + events = elemData.events = {}; + } + if ( !(eventHandle = elemData.handle) ) { + eventHandle = elemData.handle = function( e ) { + // Discard the second event of a jQuery.event.trigger() and + // when an event is called after a page has unloaded + return typeof jQuery !== core_strundefined && (!e || jQuery.event.triggered !== e.type) ? + jQuery.event.dispatch.apply( eventHandle.elem, arguments ) : + undefined; + }; + // Add elem as a property of the handle fn to prevent a memory leak with IE non-native events + eventHandle.elem = elem; + } + + // Handle multiple events separated by a space + types = ( types || "" ).match( core_rnotwhite ) || [""]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[t] ) || []; + type = origType = tmp[1]; + namespaces = ( tmp[2] || "" ).split( "." ).sort(); + + // There *must* be a type, no attaching namespace-only handlers + if ( !type ) { + continue; + } + + // If event changes its type, use the special event handlers for the changed type + special = jQuery.event.special[ type ] || {}; + + // If selector defined, determine special event api type, otherwise given type + type = ( selector ? special.delegateType : special.bindType ) || type; + + // Update special based on newly reset type + special = jQuery.event.special[ type ] || {}; + + // handleObj is passed to all event handlers + handleObj = jQuery.extend({ + type: type, + origType: origType, + data: data, + handler: handler, + guid: handler.guid, + selector: selector, + needsContext: selector && jQuery.expr.match.needsContext.test( selector ), + namespace: namespaces.join(".") + }, handleObjIn ); + + // Init the event handler queue if we're the first + if ( !(handlers = events[ type ]) ) { + handlers = events[ type ] = []; + handlers.delegateCount = 0; + + // Only use addEventListener if the special events handler returns false + if ( !special.setup || special.setup.call( elem, data, namespaces, eventHandle ) === false ) { + if ( elem.addEventListener ) { + elem.addEventListener( type, eventHandle, false ); + } + } + } + + if ( special.add ) { + special.add.call( elem, handleObj ); + + if ( !handleObj.handler.guid ) { + handleObj.handler.guid = handler.guid; + } + } + + // Add to the element's handler list, delegates in front + if ( selector ) { + handlers.splice( handlers.delegateCount++, 0, handleObj ); + } else { + handlers.push( handleObj ); + } + + // Keep track of which events have ever been used, for event optimization + jQuery.event.global[ type ] = true; + } + + // Nullify elem to prevent memory leaks in IE + elem = null; + }, + + // Detach an event or set of events from an element + remove: function( elem, types, handler, selector, mappedTypes ) { + + var j, origCount, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = data_priv.hasData( elem ) && data_priv.get( elem ); + + if ( !elemData || !(events = elemData.events) ) { + return; + } + + // Once for each type.namespace in types; type may be omitted + types = ( types || "" ).match( core_rnotwhite ) || [""]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[t] ) || []; + type = origType = tmp[1]; + namespaces = ( tmp[2] || "" ).split( "." ).sort(); + + // Unbind all events (on this namespace, if provided) for the element + if ( !type ) { + for ( type in events ) { + jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); + } + continue; + } + + special = jQuery.event.special[ type ] || {}; + type = ( selector ? special.delegateType : special.bindType ) || type; + handlers = events[ type ] || []; + tmp = tmp[2] && new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" ); + + // Remove matching events + origCount = j = handlers.length; + while ( j-- ) { + handleObj = handlers[ j ]; + + if ( ( mappedTypes || origType === handleObj.origType ) && + ( !handler || handler.guid === handleObj.guid ) && + ( !tmp || tmp.test( handleObj.namespace ) ) && + ( !selector || selector === handleObj.selector || selector === "**" && handleObj.selector ) ) { + handlers.splice( j, 1 ); + + if ( handleObj.selector ) { + handlers.delegateCount--; + } + if ( special.remove ) { + special.remove.call( elem, handleObj ); + } + } + } + + // Remove generic event handler if we removed something and no more handlers exist + // (avoids potential for endless recursion during removal of special event handlers) + if ( origCount && !handlers.length ) { + if ( !special.teardown || special.teardown.call( elem, namespaces, elemData.handle ) === false ) { + jQuery.removeEvent( elem, type, elemData.handle ); + } + + delete events[ type ]; + } + } + + // Remove the expando if it's no longer used + if ( jQuery.isEmptyObject( events ) ) { + delete elemData.handle; + data_priv.remove( elem, "events" ); + } + }, + + trigger: function( event, data, elem, onlyHandlers ) { + + var i, cur, tmp, bubbleType, ontype, handle, special, + eventPath = [ elem || document ], + type = core_hasOwn.call( event, "type" ) ? event.type : event, + namespaces = core_hasOwn.call( event, "namespace" ) ? event.namespace.split(".") : []; + + cur = tmp = elem = elem || document; + + // Don't do events on text and comment nodes + if ( elem.nodeType === 3 || elem.nodeType === 8 ) { + return; + } + + // focus/blur morphs to focusin/out; ensure we're not firing them right now + if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { + return; + } + + if ( type.indexOf(".") >= 0 ) { + // Namespaced trigger; create a regexp to match event type in handle() + namespaces = type.split("."); + type = namespaces.shift(); + namespaces.sort(); + } + ontype = type.indexOf(":") < 0 && "on" + type; + + // Caller can pass in a jQuery.Event object, Object, or just an event type string + event = event[ jQuery.expando ] ? + event : + new jQuery.Event( type, typeof event === "object" && event ); + + // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) + event.isTrigger = onlyHandlers ? 2 : 3; + event.namespace = namespaces.join("."); + event.namespace_re = event.namespace ? + new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" ) : + null; + + // Clean up the event in case it is being reused + event.result = undefined; + if ( !event.target ) { + event.target = elem; + } + + // Clone any incoming data and prepend the event, creating the handler arg list + data = data == null ? + [ event ] : + jQuery.makeArray( data, [ event ] ); + + // Allow special events to draw outside the lines + special = jQuery.event.special[ type ] || {}; + if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { + return; + } + + // Determine event propagation path in advance, per W3C events spec (#9951) + // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) + if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { + + bubbleType = special.delegateType || type; + if ( !rfocusMorph.test( bubbleType + type ) ) { + cur = cur.parentNode; + } + for ( ; cur; cur = cur.parentNode ) { + eventPath.push( cur ); + tmp = cur; + } + + // Only add window if we got to document (e.g., not plain obj or detached DOM) + if ( tmp === (elem.ownerDocument || document) ) { + eventPath.push( tmp.defaultView || tmp.parentWindow || window ); + } + } + + // Fire handlers on the event path + i = 0; + while ( (cur = eventPath[i++]) && !event.isPropagationStopped() ) { + + event.type = i > 1 ? + bubbleType : + special.bindType || type; + + // jQuery handler + handle = ( data_priv.get( cur, "events" ) || {} )[ event.type ] && data_priv.get( cur, "handle" ); + if ( handle ) { + handle.apply( cur, data ); + } + + // Native handler + handle = ontype && cur[ ontype ]; + if ( handle && jQuery.acceptData( cur ) && handle.apply && handle.apply( cur, data ) === false ) { + event.preventDefault(); + } + } + event.type = type; + + // If nobody prevented the default action, do it now + if ( !onlyHandlers && !event.isDefaultPrevented() ) { + + if ( (!special._default || special._default.apply( eventPath.pop(), data ) === false) && + jQuery.acceptData( elem ) ) { + + // Call a native DOM method on the target with the same name name as the event. + // Don't do default actions on window, that's where global variables be (#6170) + if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) { + + // Don't re-trigger an onFOO event when we call its FOO() method + tmp = elem[ ontype ]; + + if ( tmp ) { + elem[ ontype ] = null; + } + + // Prevent re-triggering of the same event, since we already bubbled it above + jQuery.event.triggered = type; + elem[ type ](); + jQuery.event.triggered = undefined; + + if ( tmp ) { + elem[ ontype ] = tmp; + } + } + } + } + + return event.result; + }, + + dispatch: function( event ) { + + // Make a writable jQuery.Event from the native event object + event = jQuery.event.fix( event ); + + var i, j, ret, matched, handleObj, + handlerQueue = [], + args = core_slice.call( arguments ), + handlers = ( data_priv.get( this, "events" ) || {} )[ event.type ] || [], + special = jQuery.event.special[ event.type ] || {}; + + // Use the fix-ed jQuery.Event rather than the (read-only) native event + args[0] = event; + event.delegateTarget = this; + + // Call the preDispatch hook for the mapped type, and let it bail if desired + if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { + return; + } + + // Determine handlers + handlerQueue = jQuery.event.handlers.call( this, event, handlers ); + + // Run delegates first; they may want to stop propagation beneath us + i = 0; + while ( (matched = handlerQueue[ i++ ]) && !event.isPropagationStopped() ) { + event.currentTarget = matched.elem; + + j = 0; + while ( (handleObj = matched.handlers[ j++ ]) && !event.isImmediatePropagationStopped() ) { + + // Triggered event must either 1) have no namespace, or + // 2) have namespace(s) a subset or equal to those in the bound event (both can have no namespace). + if ( !event.namespace_re || event.namespace_re.test( handleObj.namespace ) ) { + + event.handleObj = handleObj; + event.data = handleObj.data; + + ret = ( (jQuery.event.special[ handleObj.origType ] || {}).handle || handleObj.handler ) + .apply( matched.elem, args ); + + if ( ret !== undefined ) { + if ( (event.result = ret) === false ) { + event.preventDefault(); + event.stopPropagation(); + } + } + } + } + } + + // Call the postDispatch hook for the mapped type + if ( special.postDispatch ) { + special.postDispatch.call( this, event ); + } + + return event.result; + }, + + handlers: function( event, handlers ) { + var i, matches, sel, handleObj, + handlerQueue = [], + delegateCount = handlers.delegateCount, + cur = event.target; + + // Find delegate handlers + // Black-hole SVG <use> instance trees (#13180) + // Avoid non-left-click bubbling in Firefox (#3861) + if ( delegateCount && cur.nodeType && (!event.button || event.type !== "click") ) { + + for ( ; cur !== this; cur = cur.parentNode || this ) { + + // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) + if ( cur.disabled !== true || event.type !== "click" ) { + matches = []; + for ( i = 0; i < delegateCount; i++ ) { + handleObj = handlers[ i ]; + + // Don't conflict with Object.prototype properties (#13203) + sel = handleObj.selector + " "; + + if ( matches[ sel ] === undefined ) { + matches[ sel ] = handleObj.needsContext ? + jQuery( sel, this ).index( cur ) >= 0 : + jQuery.find( sel, this, null, [ cur ] ).length; + } + if ( matches[ sel ] ) { + matches.push( handleObj ); + } + } + if ( matches.length ) { + handlerQueue.push({ elem: cur, handlers: matches }); + } + } + } + } + + // Add the remaining (directly-bound) handlers + if ( delegateCount < handlers.length ) { + handlerQueue.push({ elem: this, handlers: handlers.slice( delegateCount ) }); + } + + return handlerQueue; + }, + + // Includes some event props shared by KeyEvent and MouseEvent + props: "altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "), + + fixHooks: {}, + + keyHooks: { + props: "char charCode key keyCode".split(" "), + filter: function( event, original ) { + + // Add which for key events + if ( event.which == null ) { + event.which = original.charCode != null ? original.charCode : original.keyCode; + } + + return event; + } + }, + + mouseHooks: { + props: "button buttons clientX clientY offsetX offsetY pageX pageY screenX screenY toElement".split(" "), + filter: function( event, original ) { + var eventDoc, doc, body, + button = original.button; + + // Calculate pageX/Y if missing and clientX/Y available + if ( event.pageX == null && original.clientX != null ) { + eventDoc = event.target.ownerDocument || document; + doc = eventDoc.documentElement; + body = eventDoc.body; + + event.pageX = original.clientX + ( doc && doc.scrollLeft || body && body.scrollLeft || 0 ) - ( doc && doc.clientLeft || body && body.clientLeft || 0 ); + event.pageY = original.clientY + ( doc && doc.scrollTop || body && body.scrollTop || 0 ) - ( doc && doc.clientTop || body && body.clientTop || 0 ); + } + + // Add which for click: 1 === left; 2 === middle; 3 === right + // Note: button is not normalized, so don't use it + if ( !event.which && button !== undefined ) { + event.which = ( button & 1 ? 1 : ( button & 2 ? 3 : ( button & 4 ? 2 : 0 ) ) ); + } + + return event; + } + }, + + fix: function( event ) { + if ( event[ jQuery.expando ] ) { + return event; + } + + // Create a writable copy of the event object and normalize some properties + var i, prop, copy, + type = event.type, + originalEvent = event, + fixHook = this.fixHooks[ type ]; + + if ( !fixHook ) { + this.fixHooks[ type ] = fixHook = + rmouseEvent.test( type ) ? this.mouseHooks : + rkeyEvent.test( type ) ? this.keyHooks : + {}; + } + copy = fixHook.props ? this.props.concat( fixHook.props ) : this.props; + + event = new jQuery.Event( originalEvent ); + + i = copy.length; + while ( i-- ) { + prop = copy[ i ]; + event[ prop ] = originalEvent[ prop ]; + } + + // Support: Safari 6.0+, Chrome < 28 + // Target should not be a text node (#504, #13143) + if ( event.target.nodeType === 3 ) { + event.target = event.target.parentNode; + } + + return fixHook.filter? fixHook.filter( event, originalEvent ) : event; + }, + + special: { + load: { + // Prevent triggered image.load events from bubbling to window.load + noBubble: true + }, + focus: { + // Fire native event if possible so blur/focus sequence is correct + trigger: function() { + if ( this !== safeActiveElement() && this.focus ) { + this.focus(); + return false; + } + }, + delegateType: "focusin" + }, + blur: { + trigger: function() { + if ( this === safeActiveElement() && this.blur ) { + this.blur(); + return false; + } + }, + delegateType: "focusout" + }, + click: { + // For checkbox, fire native event so checked state will be right + trigger: function() { + if ( this.type === "checkbox" && this.click && jQuery.nodeName( this, "input" ) ) { + this.click(); + return false; + } + }, + + // For cross-browser consistency, don't fire native .click() on links + _default: function( event ) { + return jQuery.nodeName( event.target, "a" ); + } + }, + + beforeunload: { + postDispatch: function( event ) { + + // Support: Firefox 20+ + // Firefox doesn't alert if the returnValue field is not set. + if ( event.result !== undefined ) { + event.originalEvent.returnValue = event.result; + } + } + } + }, + + simulate: function( type, elem, event, bubble ) { + // Piggyback on a donor event to simulate a different one. + // Fake originalEvent to avoid donor's stopPropagation, but if the + // simulated event prevents default then we do the same on the donor. + var e = jQuery.extend( + new jQuery.Event(), + event, + { + type: type, + isSimulated: true, + originalEvent: {} + } + ); + if ( bubble ) { + jQuery.event.trigger( e, null, elem ); + } else { + jQuery.event.dispatch.call( elem, e ); + } + if ( e.isDefaultPrevented() ) { + event.preventDefault(); + } + } +}; + +jQuery.removeEvent = function( elem, type, handle ) { + if ( elem.removeEventListener ) { + elem.removeEventListener( type, handle, false ); + } +}; + +jQuery.Event = function( src, props ) { + // Allow instantiation without the 'new' keyword + if ( !(this instanceof jQuery.Event) ) { + return new jQuery.Event( src, props ); + } + + // Event object + if ( src && src.type ) { + this.originalEvent = src; + this.type = src.type; + + // Events bubbling up the document may have been marked as prevented + // by a handler lower down the tree; reflect the correct value. + this.isDefaultPrevented = ( src.defaultPrevented || + src.getPreventDefault && src.getPreventDefault() ) ? returnTrue : returnFalse; + + // Event type + } else { + this.type = src; + } + + // Put explicitly provided properties onto the event object + if ( props ) { + jQuery.extend( this, props ); + } + + // Create a timestamp if incoming event doesn't have one + this.timeStamp = src && src.timeStamp || jQuery.now(); + + // Mark it as fixed + this[ jQuery.expando ] = true; +}; + +// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding +// http://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html +jQuery.Event.prototype = { + isDefaultPrevented: returnFalse, + isPropagationStopped: returnFalse, + isImmediatePropagationStopped: returnFalse, + + preventDefault: function() { + var e = this.originalEvent; + + this.isDefaultPrevented = returnTrue; + + if ( e && e.preventDefault ) { + e.preventDefault(); + } + }, + stopPropagation: function() { + var e = this.originalEvent; + + this.isPropagationStopped = returnTrue; + + if ( e && e.stopPropagation ) { + e.stopPropagation(); + } + }, + stopImmediatePropagation: function() { + this.isImmediatePropagationStopped = returnTrue; + this.stopPropagation(); + } +}; + +// Create mouseenter/leave events using mouseover/out and event-time checks +// Support: Chrome 15+ +jQuery.each({ + mouseenter: "mouseover", + mouseleave: "mouseout" +}, function( orig, fix ) { + jQuery.event.special[ orig ] = { + delegateType: fix, + bindType: fix, + + handle: function( event ) { + var ret, + target = this, + related = event.relatedTarget, + handleObj = event.handleObj; + + // For mousenter/leave call the handler if related is outside the target. + // NB: No relatedTarget if the mouse left/entered the browser window + if ( !related || (related !== target && !jQuery.contains( target, related )) ) { + event.type = handleObj.origType; + ret = handleObj.handler.apply( this, arguments ); + event.type = fix; + } + return ret; + } + }; +}); + +// Create "bubbling" focus and blur events +// Support: Firefox, Chrome, Safari +if ( !jQuery.support.focusinBubbles ) { + jQuery.each({ focus: "focusin", blur: "focusout" }, function( orig, fix ) { + + // Attach a single capturing handler while someone wants focusin/focusout + var attaches = 0, + handler = function( event ) { + jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ), true ); + }; + + jQuery.event.special[ fix ] = { + setup: function() { + if ( attaches++ === 0 ) { + document.addEventListener( orig, handler, true ); + } + }, + teardown: function() { + if ( --attaches === 0 ) { + document.removeEventListener( orig, handler, true ); + } + } + }; + }); +} + +jQuery.fn.extend({ + + on: function( types, selector, data, fn, /*INTERNAL*/ one ) { + var origFn, type; + + // Types can be a map of types/handlers + if ( typeof types === "object" ) { + // ( types-Object, selector, data ) + if ( typeof selector !== "string" ) { + // ( types-Object, data ) + data = data || selector; + selector = undefined; + } + for ( type in types ) { + this.on( type, selector, data, types[ type ], one ); + } + return this; + } + + if ( data == null && fn == null ) { + // ( types, fn ) + fn = selector; + data = selector = undefined; + } else if ( fn == null ) { + if ( typeof selector === "string" ) { + // ( types, selector, fn ) + fn = data; + data = undefined; + } else { + // ( types, data, fn ) + fn = data; + data = selector; + selector = undefined; + } + } + if ( fn === false ) { + fn = returnFalse; + } else if ( !fn ) { + return this; + } + + if ( one === 1 ) { + origFn = fn; + fn = function( event ) { + // Can use an empty set, since event contains the info + jQuery().off( event ); + return origFn.apply( this, arguments ); + }; + // Use same guid so caller can remove using origFn + fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); + } + return this.each( function() { + jQuery.event.add( this, types, fn, data, selector ); + }); + }, + one: function( types, selector, data, fn ) { + return this.on( types, selector, data, fn, 1 ); + }, + off: function( types, selector, fn ) { + var handleObj, type; + if ( types && types.preventDefault && types.handleObj ) { + // ( event ) dispatched jQuery.Event + handleObj = types.handleObj; + jQuery( types.delegateTarget ).off( + handleObj.namespace ? handleObj.origType + "." + handleObj.namespace : handleObj.origType, + handleObj.selector, + handleObj.handler + ); + return this; + } + if ( typeof types === "object" ) { + // ( types-object [, selector] ) + for ( type in types ) { + this.off( type, selector, types[ type ] ); + } + return this; + } + if ( selector === false || typeof selector === "function" ) { + // ( types [, fn] ) + fn = selector; + selector = undefined; + } + if ( fn === false ) { + fn = returnFalse; + } + return this.each(function() { + jQuery.event.remove( this, types, fn, selector ); + }); + }, + + trigger: function( type, data ) { + return this.each(function() { + jQuery.event.trigger( type, data, this ); + }); + }, + triggerHandler: function( type, data ) { + var elem = this[0]; + if ( elem ) { + return jQuery.event.trigger( type, data, elem, true ); + } + } +}); +var isSimple = /^.[^:#\[\.,]*$/, + rneedsContext = jQuery.expr.match.needsContext, + // methods guaranteed to produce a unique set when starting from a unique set + guaranteedUnique = { + children: true, + contents: true, + next: true, + prev: true + }; + +jQuery.fn.extend({ + find: function( selector ) { + var self, matched, i, + l = this.length; + + if ( typeof selector !== "string" ) { + self = this; + return this.pushStack( jQuery( selector ).filter(function() { + for ( i = 0; i < l; i++ ) { + if ( jQuery.contains( self[ i ], this ) ) { + return true; + } + } + }) ); + } + + matched = []; + for ( i = 0; i < l; i++ ) { + jQuery.find( selector, this[ i ], matched ); + } + + // Needed because $( selector, context ) becomes $( context ).find( selector ) + matched = this.pushStack( l > 1 ? jQuery.unique( matched ) : matched ); + matched.selector = ( this.selector ? this.selector + " " : "" ) + selector; + return matched; + }, + + has: function( target ) { + var targets = jQuery( target, this ), + l = targets.length; + + return this.filter(function() { + var i = 0; + for ( ; i < l; i++ ) { + if ( jQuery.contains( this, targets[i] ) ) { + return true; + } + } + }); + }, + + not: function( selector ) { + return this.pushStack( winnow(this, selector || [], true) ); + }, + + filter: function( selector ) { + return this.pushStack( winnow(this, selector || [], false) ); + }, + + is: function( selector ) { + return !!selector && ( + typeof selector === "string" ? + // If this is a positional/relative selector, check membership in the returned set + // so $("p:first").is("p:last") won't return true for a doc with two "p". + rneedsContext.test( selector ) ? + jQuery( selector, this.context ).index( this[ 0 ] ) >= 0 : + jQuery.filter( selector, this ).length > 0 : + this.filter( selector ).length > 0 ); + }, + + closest: function( selectors, context ) { + var cur, + i = 0, + l = this.length, + matched = [], + pos = ( rneedsContext.test( selectors ) || typeof selectors !== "string" ) ? + jQuery( selectors, context || this.context ) : + 0; + + for ( ; i < l; i++ ) { + for ( cur = this[i]; cur && cur !== context; cur = cur.parentNode ) { + // Always skip document fragments + if ( cur.nodeType < 11 && (pos ? + pos.index(cur) > -1 : + + // Don't pass non-elements to Sizzle + cur.nodeType === 1 && + jQuery.find.matchesSelector(cur, selectors)) ) { + + cur = matched.push( cur ); + break; + } + } + } + + return this.pushStack( matched.length > 1 ? jQuery.unique( matched ) : matched ); + }, + + // Determine the position of an element within + // the matched set of elements + index: function( elem ) { + + // No argument, return index in parent + if ( !elem ) { + return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; + } + + // index in selector + if ( typeof elem === "string" ) { + return core_indexOf.call( jQuery( elem ), this[ 0 ] ); + } + + // Locate the position of the desired element + return core_indexOf.call( this, + + // If it receives a jQuery object, the first element is used + elem.jquery ? elem[ 0 ] : elem + ); + }, + + add: function( selector, context ) { + var set = typeof selector === "string" ? + jQuery( selector, context ) : + jQuery.makeArray( selector && selector.nodeType ? [ selector ] : selector ), + all = jQuery.merge( this.get(), set ); + + return this.pushStack( jQuery.unique(all) ); + }, + + addBack: function( selector ) { + return this.add( selector == null ? + this.prevObject : this.prevObject.filter(selector) + ); + } +}); + +function sibling( cur, dir ) { + while ( (cur = cur[dir]) && cur.nodeType !== 1 ) {} + + return cur; +} + +jQuery.each({ + parent: function( elem ) { + var parent = elem.parentNode; + return parent && parent.nodeType !== 11 ? parent : null; + }, + parents: function( elem ) { + return jQuery.dir( elem, "parentNode" ); + }, + parentsUntil: function( elem, i, until ) { + return jQuery.dir( elem, "parentNode", until ); + }, + next: function( elem ) { + return sibling( elem, "nextSibling" ); + }, + prev: function( elem ) { + return sibling( elem, "previousSibling" ); + }, + nextAll: function( elem ) { + return jQuery.dir( elem, "nextSibling" ); + }, + prevAll: function( elem ) { + return jQuery.dir( elem, "previousSibling" ); + }, + nextUntil: function( elem, i, until ) { + return jQuery.dir( elem, "nextSibling", until ); + }, + prevUntil: function( elem, i, until ) { + return jQuery.dir( elem, "previousSibling", until ); + }, + siblings: function( elem ) { + return jQuery.sibling( ( elem.parentNode || {} ).firstChild, elem ); + }, + children: function( elem ) { + return jQuery.sibling( elem.firstChild ); + }, + contents: function( elem ) { + return jQuery.nodeName( elem, "iframe" ) ? + elem.contentDocument || elem.contentWindow.document : + jQuery.merge( [], elem.childNodes ); + } +}, function( name, fn ) { + jQuery.fn[ name ] = function( until, selector ) { + var matched = jQuery.map( this, fn, until ); + + if ( name.slice( -5 ) !== "Until" ) { + selector = until; + } + + if ( selector && typeof selector === "string" ) { + matched = jQuery.filter( selector, matched ); + } + + if ( this.length > 1 ) { + // Remove duplicates + if ( !guaranteedUnique[ name ] ) { + jQuery.unique( matched ); + } + + // Reverse order for parents* and prev* + if ( name[ 0 ] === "p" ) { + matched.reverse(); + } + } + + return this.pushStack( matched ); + }; +}); + +jQuery.extend({ + filter: function( expr, elems, not ) { + var elem = elems[ 0 ]; + + if ( not ) { + expr = ":not(" + expr + ")"; + } + + return elems.length === 1 && elem.nodeType === 1 ? + jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [] : + jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { + return elem.nodeType === 1; + })); + }, + + dir: function( elem, dir, until ) { + var matched = [], + truncate = until !== undefined; + + while ( (elem = elem[ dir ]) && elem.nodeType !== 9 ) { + if ( elem.nodeType === 1 ) { + if ( truncate && jQuery( elem ).is( until ) ) { + break; + } + matched.push( elem ); + } + } + return matched; + }, + + sibling: function( n, elem ) { + var matched = []; + + for ( ; n; n = n.nextSibling ) { + if ( n.nodeType === 1 && n !== elem ) { + matched.push( n ); + } + } + + return matched; + } +}); + +// Implement the identical functionality for filter and not +function winnow( elements, qualifier, not ) { + if ( jQuery.isFunction( qualifier ) ) { + return jQuery.grep( elements, function( elem, i ) { + /* jshint -W018 */ + return !!qualifier.call( elem, i, elem ) !== not; + }); + + } + + if ( qualifier.nodeType ) { + return jQuery.grep( elements, function( elem ) { + return ( elem === qualifier ) !== not; + }); + + } + + if ( typeof qualifier === "string" ) { + if ( isSimple.test( qualifier ) ) { + return jQuery.filter( qualifier, elements, not ); + } + + qualifier = jQuery.filter( qualifier, elements ); + } + + return jQuery.grep( elements, function( elem ) { + return ( core_indexOf.call( qualifier, elem ) >= 0 ) !== not; + }); +} +var rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi, + rtagName = /<([\w:]+)/, + rhtml = /<|&#?\w+;/, + rnoInnerhtml = /<(?:script|style|link)/i, + manipulation_rcheckableType = /^(?:checkbox|radio)$/i, + // checked="checked" or checked + rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i, + rscriptType = /^$|\/(?:java|ecma)script/i, + rscriptTypeMasked = /^true\/(.*)/, + rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g, + + // We have to close these tags to support XHTML (#13200) + wrapMap = { + + // Support: IE 9 + option: [ 1, "<select multiple='multiple'>", "</select>" ], + + thead: [ 1, "<table>", "</table>" ], + tr: [ 2, "<table><tbody>", "</tbody></table>" ], + td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ], + + _default: [ 0, "", "" ] + }; + +// Support: IE 9 +wrapMap.optgroup = wrapMap.option; + +wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.col = wrapMap.thead; +wrapMap.th = wrapMap.td; + +jQuery.fn.extend({ + text: function( value ) { + return jQuery.access( this, function( value ) { + return value === undefined ? + jQuery.text( this ) : + this.empty().append( ( this[ 0 ] && this[ 0 ].ownerDocument || document ).createTextNode( value ) ); + }, null, value, arguments.length ); + }, + + append: function() { + return this.domManip( arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.appendChild( elem ); + } + }); + }, + + prepend: function() { + return this.domManip( arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.insertBefore( elem, target.firstChild ); + } + }); + }, + + before: function() { + return this.domManip( arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this ); + } + }); + }, + + after: function() { + return this.domManip( arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this.nextSibling ); + } + }); + }, + + // keepData is for internal use only--do not document + remove: function( selector, keepData ) { + var elem, + elems = selector ? jQuery.filter( selector, this ) : this, + i = 0; + + for ( ; (elem = elems[i]) != null; i++ ) { + if ( !keepData && elem.nodeType === 1 ) { + jQuery.cleanData( getAll( elem ) ); + } + + if ( elem.parentNode ) { + if ( keepData && jQuery.contains( elem.ownerDocument, elem ) ) { + setGlobalEval( getAll( elem, "script" ) ); + } + elem.parentNode.removeChild( elem ); + } + } + + return this; + }, + + empty: function() { + var elem, + i = 0; + + for ( ; (elem = this[i]) != null; i++ ) { + if ( elem.nodeType === 1 ) { + + // Prevent memory leaks + jQuery.cleanData( getAll( elem, false ) ); + + // Remove any remaining nodes + elem.textContent = ""; + } + } + + return this; + }, + + clone: function( dataAndEvents, deepDataAndEvents ) { + dataAndEvents = dataAndEvents == null ? false : dataAndEvents; + deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; + + return this.map( function () { + return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); + }); + }, + + html: function( value ) { + return jQuery.access( this, function( value ) { + var elem = this[ 0 ] || {}, + i = 0, + l = this.length; + + if ( value === undefined && elem.nodeType === 1 ) { + return elem.innerHTML; + } + + // See if we can take a shortcut and just use innerHTML + if ( typeof value === "string" && !rnoInnerhtml.test( value ) && + !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { + + value = value.replace( rxhtmlTag, "<$1></$2>" ); + + try { + for ( ; i < l; i++ ) { + elem = this[ i ] || {}; + + // Remove element nodes and prevent memory leaks + if ( elem.nodeType === 1 ) { + jQuery.cleanData( getAll( elem, false ) ); + elem.innerHTML = value; + } + } + + elem = 0; + + // If using innerHTML throws an exception, use the fallback method + } catch( e ) {} + } + + if ( elem ) { + this.empty().append( value ); + } + }, null, value, arguments.length ); + }, + + replaceWith: function() { + var + // Snapshot the DOM in case .domManip sweeps something relevant into its fragment + args = jQuery.map( this, function( elem ) { + return [ elem.nextSibling, elem.parentNode ]; + }), + i = 0; + + // Make the changes, replacing each context element with the new content + this.domManip( arguments, function( elem ) { + var next = args[ i++ ], + parent = args[ i++ ]; + + if ( parent ) { + jQuery( this ).remove(); + parent.insertBefore( elem, next ); + } + // Allow new content to include elements from the context set + }, true ); + + // Force removal if there was no new content (e.g., from empty arguments) + return i ? this : this.remove(); + }, + + detach: function( selector ) { + return this.remove( selector, true ); + }, + + domManip: function( args, callback, allowIntersection ) { + + // Flatten any nested arrays + args = core_concat.apply( [], args ); + + var fragment, first, scripts, hasScripts, node, doc, + i = 0, + l = this.length, + set = this, + iNoClone = l - 1, + value = args[ 0 ], + isFunction = jQuery.isFunction( value ); + + // We can't cloneNode fragments that contain checked, in WebKit + if ( isFunction || !( l <= 1 || typeof value !== "string" || jQuery.support.checkClone || !rchecked.test( value ) ) ) { + return this.each(function( index ) { + var self = set.eq( index ); + if ( isFunction ) { + args[ 0 ] = value.call( this, index, self.html() ); + } + self.domManip( args, callback, allowIntersection ); + }); + } + + if ( l ) { + fragment = jQuery.buildFragment( args, this[ 0 ].ownerDocument, false, !allowIntersection && this ); + first = fragment.firstChild; + + if ( fragment.childNodes.length === 1 ) { + fragment = first; + } + + if ( first ) { + scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); + hasScripts = scripts.length; + + // Use the original fragment for the last item instead of the first because it can end up + // being emptied incorrectly in certain situations (#8070). + for ( ; i < l; i++ ) { + node = fragment; + + if ( i !== iNoClone ) { + node = jQuery.clone( node, true, true ); + + // Keep references to cloned scripts for later restoration + if ( hasScripts ) { + // Support: QtWebKit + // jQuery.merge because core_push.apply(_, arraylike) throws + jQuery.merge( scripts, getAll( node, "script" ) ); + } + } + + callback.call( this[ i ], node, i ); + } + + if ( hasScripts ) { + doc = scripts[ scripts.length - 1 ].ownerDocument; + + // Reenable scripts + jQuery.map( scripts, restoreScript ); + + // Evaluate executable scripts on first document insertion + for ( i = 0; i < hasScripts; i++ ) { + node = scripts[ i ]; + if ( rscriptType.test( node.type || "" ) && + !data_priv.access( node, "globalEval" ) && jQuery.contains( doc, node ) ) { + + if ( node.src ) { + // Hope ajax is available... + jQuery._evalUrl( node.src ); + } else { + jQuery.globalEval( node.textContent.replace( rcleanScript, "" ) ); + } + } + } + } + } + } + + return this; + } +}); + +jQuery.each({ + appendTo: "append", + prependTo: "prepend", + insertBefore: "before", + insertAfter: "after", + replaceAll: "replaceWith" +}, function( name, original ) { + jQuery.fn[ name ] = function( selector ) { + var elems, + ret = [], + insert = jQuery( selector ), + last = insert.length - 1, + i = 0; + + for ( ; i <= last; i++ ) { + elems = i === last ? this : this.clone( true ); + jQuery( insert[ i ] )[ original ]( elems ); + + // Support: QtWebKit + // .get() because core_push.apply(_, arraylike) throws + core_push.apply( ret, elems.get() ); + } + + return this.pushStack( ret ); + }; +}); + +jQuery.extend({ + clone: function( elem, dataAndEvents, deepDataAndEvents ) { + var i, l, srcElements, destElements, + clone = elem.cloneNode( true ), + inPage = jQuery.contains( elem.ownerDocument, elem ); + + // Support: IE >= 9 + // Fix Cloning issues + if ( !jQuery.support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && !jQuery.isXMLDoc( elem ) ) { + + // We eschew Sizzle here for performance reasons: http://jsperf.com/getall-vs-sizzle/2 + destElements = getAll( clone ); + srcElements = getAll( elem ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + fixInput( srcElements[ i ], destElements[ i ] ); + } + } + + // Copy the events from the original to the clone + if ( dataAndEvents ) { + if ( deepDataAndEvents ) { + srcElements = srcElements || getAll( elem ); + destElements = destElements || getAll( clone ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + cloneCopyEvent( srcElements[ i ], destElements[ i ] ); + } + } else { + cloneCopyEvent( elem, clone ); + } + } + + // Preserve script evaluation history + destElements = getAll( clone, "script" ); + if ( destElements.length > 0 ) { + setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); + } + + // Return the cloned set + return clone; + }, + + buildFragment: function( elems, context, scripts, selection ) { + var elem, tmp, tag, wrap, contains, j, + i = 0, + l = elems.length, + fragment = context.createDocumentFragment(), + nodes = []; + + for ( ; i < l; i++ ) { + elem = elems[ i ]; + + if ( elem || elem === 0 ) { + + // Add nodes directly + if ( jQuery.type( elem ) === "object" ) { + // Support: QtWebKit + // jQuery.merge because core_push.apply(_, arraylike) throws + jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); + + // Convert non-html into a text node + } else if ( !rhtml.test( elem ) ) { + nodes.push( context.createTextNode( elem ) ); + + // Convert html into DOM nodes + } else { + tmp = tmp || fragment.appendChild( context.createElement("div") ); + + // Deserialize a standard representation + tag = ( rtagName.exec( elem ) || ["", ""] )[ 1 ].toLowerCase(); + wrap = wrapMap[ tag ] || wrapMap._default; + tmp.innerHTML = wrap[ 1 ] + elem.replace( rxhtmlTag, "<$1></$2>" ) + wrap[ 2 ]; + + // Descend through wrappers to the right content + j = wrap[ 0 ]; + while ( j-- ) { + tmp = tmp.firstChild; + } + + // Support: QtWebKit + // jQuery.merge because core_push.apply(_, arraylike) throws + jQuery.merge( nodes, tmp.childNodes ); + + // Remember the top-level container + tmp = fragment.firstChild; + + // Fixes #12346 + // Support: Webkit, IE + tmp.textContent = ""; + } + } + } + + // Remove wrapper from fragment + fragment.textContent = ""; + + i = 0; + while ( (elem = nodes[ i++ ]) ) { + + // #4087 - If origin and destination elements are the same, and this is + // that element, do not do anything + if ( selection && jQuery.inArray( elem, selection ) !== -1 ) { + continue; + } + + contains = jQuery.contains( elem.ownerDocument, elem ); + + // Append to fragment + tmp = getAll( fragment.appendChild( elem ), "script" ); + + // Preserve script evaluation history + if ( contains ) { + setGlobalEval( tmp ); + } + + // Capture executables + if ( scripts ) { + j = 0; + while ( (elem = tmp[ j++ ]) ) { + if ( rscriptType.test( elem.type || "" ) ) { + scripts.push( elem ); + } + } + } + } + + return fragment; + }, + + cleanData: function( elems ) { + var data, elem, type, + l = elems.length, + i = 0, + special = jQuery.event.special; + + for ( ; i < l; i++ ) { + elem = elems[ i ]; + + if ( jQuery.acceptData( elem ) ) { + + data = data_priv.access( elem ); + + if ( data ) { + for ( type in data.events ) { + if ( special[ type ] ) { + jQuery.event.remove( elem, type ); + + // This is a shortcut to avoid jQuery.event.remove's overhead + } else { + jQuery.removeEvent( elem, type, data.handle ); + } + } + } + } + // Discard any remaining `private` and `user` data + // One day we'll replace the dual arrays with a WeakMap and this won't be an issue. + // (Splices the data objects out of the internal cache arrays) + data_user.discard( elem ); + data_priv.discard( elem ); + } + }, + + _evalUrl: function( url ) { + return jQuery.ajax({ + url: url, + type: "GET", + dataType: "text", + async: false, + global: false, + success: jQuery.globalEval + }); + } +}); + +// Support: 1.x compatibility +// Manipulating tables requires a tbody +function manipulationTarget( elem, content ) { + return jQuery.nodeName( elem, "table" ) && + jQuery.nodeName( content.nodeType === 1 ? content : content.firstChild, "tr" ) ? + + elem.getElementsByTagName("tbody")[0] || + elem.appendChild( elem.ownerDocument.createElement("tbody") ) : + elem; +} + +// Replace/restore the type attribute of script elements for safe DOM manipulation +function disableScript( elem ) { + elem.type = (elem.getAttribute("type") !== null) + "/" + elem.type; + return elem; +} +function restoreScript( elem ) { + var match = rscriptTypeMasked.exec( elem.type ); + + if ( match ) { + elem.type = match[ 1 ]; + } else { + elem.removeAttribute("type"); + } + + return elem; +} + +// Mark scripts as having already been evaluated +function setGlobalEval( elems, refElements ) { + var l = elems.length, + i = 0; + + for ( ; i < l; i++ ) { + data_priv.set( + elems[ i ], "globalEval", !refElements || data_priv.get( refElements[ i ], "globalEval" ) + ); + } +} + +function cloneCopyEvent( src, dest ) { + var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events; + + if ( dest.nodeType !== 1 ) { + return; + } + + // 1. Copy private data: events, handlers, etc. + if ( data_priv.hasData( src ) ) { + pdataOld = data_priv.access( src ); + pdataCur = jQuery.extend( {}, pdataOld ); + events = pdataOld.events; + + data_priv.set( dest, pdataCur ); + + if ( events ) { + delete pdataCur.handle; + pdataCur.events = {}; + + for ( type in events ) { + for ( i = 0, l = events[ type ].length; i < l; i++ ) { + jQuery.event.add( dest, type, events[ type ][ i ] ); + } + } + } + } + + // 2. Copy user data + if ( data_user.hasData( src ) ) { + udataOld = data_user.access( src ); + udataCur = jQuery.extend( {}, udataOld ); + + data_user.set( dest, udataCur ); + } +} + + +function getAll( context, tag ) { + var ret = context.getElementsByTagName ? context.getElementsByTagName( tag || "*" ) : + context.querySelectorAll ? context.querySelectorAll( tag || "*" ) : + []; + + return tag === undefined || tag && jQuery.nodeName( context, tag ) ? + jQuery.merge( [ context ], ret ) : + ret; +} + +// Support: IE >= 9 +function fixInput( src, dest ) { + var nodeName = dest.nodeName.toLowerCase(); + + // Fails to persist the checked state of a cloned checkbox or radio button. + if ( nodeName === "input" && manipulation_rcheckableType.test( src.type ) ) { + dest.checked = src.checked; + + // Fails to return the selected option to the default selected state when cloning options + } else if ( nodeName === "input" || nodeName === "textarea" ) { + dest.defaultValue = src.defaultValue; + } +} +jQuery.fn.extend({ + wrapAll: function( html ) { + var wrap; + + if ( jQuery.isFunction( html ) ) { + return this.each(function( i ) { + jQuery( this ).wrapAll( html.call(this, i) ); + }); + } + + if ( this[ 0 ] ) { + + // The elements to wrap the target around + wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); + + if ( this[ 0 ].parentNode ) { + wrap.insertBefore( this[ 0 ] ); + } + + wrap.map(function() { + var elem = this; + + while ( elem.firstElementChild ) { + elem = elem.firstElementChild; + } + + return elem; + }).append( this ); + } + + return this; + }, + + wrapInner: function( html ) { + if ( jQuery.isFunction( html ) ) { + return this.each(function( i ) { + jQuery( this ).wrapInner( html.call(this, i) ); + }); + } + + return this.each(function() { + var self = jQuery( this ), + contents = self.contents(); + + if ( contents.length ) { + contents.wrapAll( html ); + + } else { + self.append( html ); + } + }); + }, + + wrap: function( html ) { + var isFunction = jQuery.isFunction( html ); + + return this.each(function( i ) { + jQuery( this ).wrapAll( isFunction ? html.call(this, i) : html ); + }); + }, + + unwrap: function() { + return this.parent().each(function() { + if ( !jQuery.nodeName( this, "body" ) ) { + jQuery( this ).replaceWith( this.childNodes ); + } + }).end(); + } +}); +var curCSS, iframe, + // swappable if display is none or starts with table except "table", "table-cell", or "table-caption" + // see here for display values: https://developer.mozilla.org/en-US/docs/CSS/display + rdisplayswap = /^(none|table(?!-c[ea]).+)/, + rmargin = /^margin/, + rnumsplit = new RegExp( "^(" + core_pnum + ")(.*)$", "i" ), + rnumnonpx = new RegExp( "^(" + core_pnum + ")(?!px)[a-z%]+$", "i" ), + rrelNum = new RegExp( "^([+-])=(" + core_pnum + ")", "i" ), + elemdisplay = { BODY: "block" }, + + cssShow = { position: "absolute", visibility: "hidden", display: "block" }, + cssNormalTransform = { + letterSpacing: 0, + fontWeight: 400 + }, + + cssExpand = [ "Top", "Right", "Bottom", "Left" ], + cssPrefixes = [ "Webkit", "O", "Moz", "ms" ]; + +// return a css property mapped to a potentially vendor prefixed property +function vendorPropName( style, name ) { + + // shortcut for names that are not vendor prefixed + if ( name in style ) { + return name; + } + + // check for vendor prefixed names + var capName = name.charAt(0).toUpperCase() + name.slice(1), + origName = name, + i = cssPrefixes.length; + + while ( i-- ) { + name = cssPrefixes[ i ] + capName; + if ( name in style ) { + return name; + } + } + + return origName; +} + +function isHidden( elem, el ) { + // isHidden might be called from jQuery#filter function; + // in that case, element will be second argument + elem = el || elem; + return jQuery.css( elem, "display" ) === "none" || !jQuery.contains( elem.ownerDocument, elem ); +} + +// NOTE: we've included the "window" in window.getComputedStyle +// because jsdom on node.js will break without it. +function getStyles( elem ) { + return window.getComputedStyle( elem, null ); +} + +function showHide( elements, show ) { + var display, elem, hidden, + values = [], + index = 0, + length = elements.length; + + for ( ; index < length; index++ ) { + elem = elements[ index ]; + if ( !elem.style ) { + continue; + } + + values[ index ] = data_priv.get( elem, "olddisplay" ); + display = elem.style.display; + if ( show ) { + // Reset the inline display of this element to learn if it is + // being hidden by cascaded rules or not + if ( !values[ index ] && display === "none" ) { + elem.style.display = ""; + } + + // Set elements which have been overridden with display: none + // in a stylesheet to whatever the default browser style is + // for such an element + if ( elem.style.display === "" && isHidden( elem ) ) { + values[ index ] = data_priv.access( elem, "olddisplay", css_defaultDisplay(elem.nodeName) ); + } + } else { + + if ( !values[ index ] ) { + hidden = isHidden( elem ); + + if ( display && display !== "none" || !hidden ) { + data_priv.set( elem, "olddisplay", hidden ? display : jQuery.css(elem, "display") ); + } + } + } + } + + // Set the display of most of the elements in a second loop + // to avoid the constant reflow + for ( index = 0; index < length; index++ ) { + elem = elements[ index ]; + if ( !elem.style ) { + continue; + } + if ( !show || elem.style.display === "none" || elem.style.display === "" ) { + elem.style.display = show ? values[ index ] || "" : "none"; + } + } + + return elements; +} + +jQuery.fn.extend({ + css: function( name, value ) { + return jQuery.access( this, function( elem, name, value ) { + var styles, len, + map = {}, + i = 0; + + if ( jQuery.isArray( name ) ) { + styles = getStyles( elem ); + len = name.length; + + for ( ; i < len; i++ ) { + map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); + } + + return map; + } + + return value !== undefined ? + jQuery.style( elem, name, value ) : + jQuery.css( elem, name ); + }, name, value, arguments.length > 1 ); + }, + show: function() { + return showHide( this, true ); + }, + hide: function() { + return showHide( this ); + }, + toggle: function( state ) { + var bool = typeof state === "boolean"; + + return this.each(function() { + if ( bool ? state : isHidden( this ) ) { + jQuery( this ).show(); + } else { + jQuery( this ).hide(); + } + }); + } +}); + +jQuery.extend({ + // Add in style property hooks for overriding the default + // behavior of getting and setting a style property + cssHooks: { + opacity: { + get: function( elem, computed ) { + if ( computed ) { + // We should always get a number back from opacity + var ret = curCSS( elem, "opacity" ); + return ret === "" ? "1" : ret; + } + } + } + }, + + // Exclude the following css properties to add px + cssNumber: { + "columnCount": true, + "fillOpacity": true, + "fontWeight": true, + "lineHeight": true, + "opacity": true, + "orphans": true, + "widows": true, + "zIndex": true, + "zoom": true + }, + + // Add in properties whose names you wish to fix before + // setting or getting the value + cssProps: { + // normalize float css property + "float": "cssFloat" + }, + + // Get and set the style property on a DOM Node + style: function( elem, name, value, extra ) { + // Don't set styles on text and comment nodes + if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { + return; + } + + // Make sure that we're working with the right name + var ret, type, hooks, + origName = jQuery.camelCase( name ), + style = elem.style; + + name = jQuery.cssProps[ origName ] || ( jQuery.cssProps[ origName ] = vendorPropName( style, origName ) ); + + // gets hook for the prefixed version + // followed by the unprefixed version + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // Check if we're setting a value + if ( value !== undefined ) { + type = typeof value; + + // convert relative number strings (+= or -=) to relative numbers. #7345 + if ( type === "string" && (ret = rrelNum.exec( value )) ) { + value = ( ret[1] + 1 ) * ret[2] + parseFloat( jQuery.css( elem, name ) ); + // Fixes bug #9237 + type = "number"; + } + + // Make sure that NaN and null values aren't set. See: #7116 + if ( value == null || type === "number" && isNaN( value ) ) { + return; + } + + // If a number was passed in, add 'px' to the (except for certain CSS properties) + if ( type === "number" && !jQuery.cssNumber[ origName ] ) { + value += "px"; + } + + // Fixes #8908, it can be done more correctly by specifying setters in cssHooks, + // but it would mean to define eight (for every problematic property) identical functions + if ( !jQuery.support.clearCloneStyle && value === "" && name.indexOf("background") === 0 ) { + style[ name ] = "inherit"; + } + + // If a hook was provided, use that value, otherwise just set the specified value + if ( !hooks || !("set" in hooks) || (value = hooks.set( elem, value, extra )) !== undefined ) { + style[ name ] = value; + } + + } else { + // If a hook was provided get the non-computed value from there + if ( hooks && "get" in hooks && (ret = hooks.get( elem, false, extra )) !== undefined ) { + return ret; + } + + // Otherwise just get the value from the style object + return style[ name ]; + } + }, + + css: function( elem, name, extra, styles ) { + var val, num, hooks, + origName = jQuery.camelCase( name ); + + // Make sure that we're working with the right name + name = jQuery.cssProps[ origName ] || ( jQuery.cssProps[ origName ] = vendorPropName( elem.style, origName ) ); + + // gets hook for the prefixed version + // followed by the unprefixed version + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // If a hook was provided get the computed value from there + if ( hooks && "get" in hooks ) { + val = hooks.get( elem, true, extra ); + } + + // Otherwise, if a way to get the computed value exists, use that + if ( val === undefined ) { + val = curCSS( elem, name, styles ); + } + + //convert "normal" to computed value + if ( val === "normal" && name in cssNormalTransform ) { + val = cssNormalTransform[ name ]; + } + + // Return, converting to number if forced or a qualifier was provided and val looks numeric + if ( extra === "" || extra ) { + num = parseFloat( val ); + return extra === true || jQuery.isNumeric( num ) ? num || 0 : val; + } + return val; + } +}); + +curCSS = function( elem, name, _computed ) { + var width, minWidth, maxWidth, + computed = _computed || getStyles( elem ), + + // Support: IE9 + // getPropertyValue is only needed for .css('filter') in IE9, see #12537 + ret = computed ? computed.getPropertyValue( name ) || computed[ name ] : undefined, + style = elem.style; + + if ( computed ) { + + if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) { + ret = jQuery.style( elem, name ); + } + + // Support: Safari 5.1 + // A tribute to the "awesome hack by Dean Edwards" + // Safari 5.1.7 (at least) returns percentage for a larger set of values, but width seems to be reliably pixels + // this is against the CSSOM draft spec: http://dev.w3.org/csswg/cssom/#resolved-values + if ( rnumnonpx.test( ret ) && rmargin.test( name ) ) { + + // Remember the original values + width = style.width; + minWidth = style.minWidth; + maxWidth = style.maxWidth; + + // Put in the new values to get a computed value out + style.minWidth = style.maxWidth = style.width = ret; + ret = computed.width; + + // Revert the changed values + style.width = width; + style.minWidth = minWidth; + style.maxWidth = maxWidth; + } + } + + return ret; +}; + + +function setPositiveNumber( elem, value, subtract ) { + var matches = rnumsplit.exec( value ); + return matches ? + // Guard against undefined "subtract", e.g., when used as in cssHooks + Math.max( 0, matches[ 1 ] - ( subtract || 0 ) ) + ( matches[ 2 ] || "px" ) : + value; +} + +function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) { + var i = extra === ( isBorderBox ? "border" : "content" ) ? + // If we already have the right measurement, avoid augmentation + 4 : + // Otherwise initialize for horizontal or vertical properties + name === "width" ? 1 : 0, + + val = 0; + + for ( ; i < 4; i += 2 ) { + // both box models exclude margin, so add it if we want it + if ( extra === "margin" ) { + val += jQuery.css( elem, extra + cssExpand[ i ], true, styles ); + } + + if ( isBorderBox ) { + // border-box includes padding, so remove it if we want content + if ( extra === "content" ) { + val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + } + + // at this point, extra isn't border nor margin, so remove border + if ( extra !== "margin" ) { + val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } else { + // at this point, extra isn't content, so add padding + val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + + // at this point, extra isn't content nor padding, so add border + if ( extra !== "padding" ) { + val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } + } + + return val; +} + +function getWidthOrHeight( elem, name, extra ) { + + // Start with offset property, which is equivalent to the border-box value + var valueIsBorderBox = true, + val = name === "width" ? elem.offsetWidth : elem.offsetHeight, + styles = getStyles( elem ), + isBorderBox = jQuery.support.boxSizing && jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; + + // some non-html elements return undefined for offsetWidth, so check for null/undefined + // svg - https://bugzilla.mozilla.org/show_bug.cgi?id=649285 + // MathML - https://bugzilla.mozilla.org/show_bug.cgi?id=491668 + if ( val <= 0 || val == null ) { + // Fall back to computed then uncomputed css if necessary + val = curCSS( elem, name, styles ); + if ( val < 0 || val == null ) { + val = elem.style[ name ]; + } + + // Computed unit is not pixels. Stop here and return. + if ( rnumnonpx.test(val) ) { + return val; + } + + // we need the check for style in case a browser which returns unreliable values + // for getComputedStyle silently falls back to the reliable elem.style + valueIsBorderBox = isBorderBox && ( jQuery.support.boxSizingReliable || val === elem.style[ name ] ); + + // Normalize "", auto, and prepare for extra + val = parseFloat( val ) || 0; + } + + // use the active box-sizing model to add/subtract irrelevant styles + return ( val + + augmentWidthOrHeight( + elem, + name, + extra || ( isBorderBox ? "border" : "content" ), + valueIsBorderBox, + styles + ) + ) + "px"; +} + +// Try to determine the default display value of an element +function css_defaultDisplay( nodeName ) { + var doc = document, + display = elemdisplay[ nodeName ]; + + if ( !display ) { + display = actualDisplay( nodeName, doc ); + + // If the simple way fails, read from inside an iframe + if ( display === "none" || !display ) { + // Use the already-created iframe if possible + iframe = ( iframe || + jQuery("<iframe frameborder='0' width='0' height='0'/>") + .css( "cssText", "display:block !important" ) + ).appendTo( doc.documentElement ); + + // Always write a new HTML skeleton so Webkit and Firefox don't choke on reuse + doc = ( iframe[0].contentWindow || iframe[0].contentDocument ).document; + doc.write("<!doctype html><html><body>"); + doc.close(); + + display = actualDisplay( nodeName, doc ); + iframe.detach(); + } + + // Store the correct default display + elemdisplay[ nodeName ] = display; + } + + return display; +} + +// Called ONLY from within css_defaultDisplay +function actualDisplay( name, doc ) { + var elem = jQuery( doc.createElement( name ) ).appendTo( doc.body ), + display = jQuery.css( elem[0], "display" ); + elem.remove(); + return display; +} + +jQuery.each([ "height", "width" ], function( i, name ) { + jQuery.cssHooks[ name ] = { + get: function( elem, computed, extra ) { + if ( computed ) { + // certain elements can have dimension info if we invisibly show them + // however, it must have a current display style that would benefit from this + return elem.offsetWidth === 0 && rdisplayswap.test( jQuery.css( elem, "display" ) ) ? + jQuery.swap( elem, cssShow, function() { + return getWidthOrHeight( elem, name, extra ); + }) : + getWidthOrHeight( elem, name, extra ); + } + }, + + set: function( elem, value, extra ) { + var styles = extra && getStyles( elem ); + return setPositiveNumber( elem, value, extra ? + augmentWidthOrHeight( + elem, + name, + extra, + jQuery.support.boxSizing && jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + styles + ) : 0 + ); + } + }; +}); + +// These hooks cannot be added until DOM ready because the support test +// for it is not run until after DOM ready +jQuery(function() { + // Support: Android 2.3 + if ( !jQuery.support.reliableMarginRight ) { + jQuery.cssHooks.marginRight = { + get: function( elem, computed ) { + if ( computed ) { + // Support: Android 2.3 + // WebKit Bug 13343 - getComputedStyle returns wrong value for margin-right + // Work around by temporarily setting element display to inline-block + return jQuery.swap( elem, { "display": "inline-block" }, + curCSS, [ elem, "marginRight" ] ); + } + } + }; + } + + // Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084 + // getComputedStyle returns percent when specified for top/left/bottom/right + // rather than make the css module depend on the offset module, we just check for it here + if ( !jQuery.support.pixelPosition && jQuery.fn.position ) { + jQuery.each( [ "top", "left" ], function( i, prop ) { + jQuery.cssHooks[ prop ] = { + get: function( elem, computed ) { + if ( computed ) { + computed = curCSS( elem, prop ); + // if curCSS returns percentage, fallback to offset + return rnumnonpx.test( computed ) ? + jQuery( elem ).position()[ prop ] + "px" : + computed; + } + } + }; + }); + } + +}); + +if ( jQuery.expr && jQuery.expr.filters ) { + jQuery.expr.filters.hidden = function( elem ) { + // Support: Opera <= 12.12 + // Opera reports offsetWidths and offsetHeights less than zero on some elements + return elem.offsetWidth <= 0 && elem.offsetHeight <= 0; + }; + + jQuery.expr.filters.visible = function( elem ) { + return !jQuery.expr.filters.hidden( elem ); + }; +} + +// These hooks are used by animate to expand properties +jQuery.each({ + margin: "", + padding: "", + border: "Width" +}, function( prefix, suffix ) { + jQuery.cssHooks[ prefix + suffix ] = { + expand: function( value ) { + var i = 0, + expanded = {}, + + // assumes a single number if not a string + parts = typeof value === "string" ? value.split(" ") : [ value ]; + + for ( ; i < 4; i++ ) { + expanded[ prefix + cssExpand[ i ] + suffix ] = + parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; + } + + return expanded; + } + }; + + if ( !rmargin.test( prefix ) ) { + jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; + } +}); +var r20 = /%20/g, + rbracket = /\[\]$/, + rCRLF = /\r?\n/g, + rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, + rsubmittable = /^(?:input|select|textarea|keygen)/i; + +jQuery.fn.extend({ + serialize: function() { + return jQuery.param( this.serializeArray() ); + }, + serializeArray: function() { + return this.map(function(){ + // Can add propHook for "elements" to filter or add form elements + var elements = jQuery.prop( this, "elements" ); + return elements ? jQuery.makeArray( elements ) : this; + }) + .filter(function(){ + var type = this.type; + // Use .is(":disabled") so that fieldset[disabled] works + return this.name && !jQuery( this ).is( ":disabled" ) && + rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && + ( this.checked || !manipulation_rcheckableType.test( type ) ); + }) + .map(function( i, elem ){ + var val = jQuery( this ).val(); + + return val == null ? + null : + jQuery.isArray( val ) ? + jQuery.map( val, function( val ){ + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + }) : + { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + }).get(); + } +}); + +//Serialize an array of form elements or a set of +//key/values into a query string +jQuery.param = function( a, traditional ) { + var prefix, + s = [], + add = function( key, value ) { + // If value is a function, invoke it and return its value + value = jQuery.isFunction( value ) ? value() : ( value == null ? "" : value ); + s[ s.length ] = encodeURIComponent( key ) + "=" + encodeURIComponent( value ); + }; + + // Set traditional to true for jQuery <= 1.3.2 behavior. + if ( traditional === undefined ) { + traditional = jQuery.ajaxSettings && jQuery.ajaxSettings.traditional; + } + + // If an array was passed in, assume that it is an array of form elements. + if ( jQuery.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { + // Serialize the form elements + jQuery.each( a, function() { + add( this.name, this.value ); + }); + + } else { + // If traditional, encode the "old" way (the way 1.3.2 or older + // did it), otherwise encode params recursively. + for ( prefix in a ) { + buildParams( prefix, a[ prefix ], traditional, add ); + } + } + + // Return the resulting serialization + return s.join( "&" ).replace( r20, "+" ); +}; + +function buildParams( prefix, obj, traditional, add ) { + var name; + + if ( jQuery.isArray( obj ) ) { + // Serialize array item. + jQuery.each( obj, function( i, v ) { + if ( traditional || rbracket.test( prefix ) ) { + // Treat each array item as a scalar. + add( prefix, v ); + + } else { + // Item is non-scalar (array or object), encode its numeric index. + buildParams( prefix + "[" + ( typeof v === "object" ? i : "" ) + "]", v, traditional, add ); + } + }); + + } else if ( !traditional && jQuery.type( obj ) === "object" ) { + // Serialize object item. + for ( name in obj ) { + buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); + } + + } else { + // Serialize scalar item. + add( prefix, obj ); + } +} +jQuery.each( ("blur focus focusin focusout load resize scroll unload click dblclick " + + "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + + "change select submit keydown keypress keyup error contextmenu").split(" "), function( i, name ) { + + // Handle event binding + jQuery.fn[ name ] = function( data, fn ) { + return arguments.length > 0 ? + this.on( name, null, data, fn ) : + this.trigger( name ); + }; +}); + +jQuery.fn.extend({ + hover: function( fnOver, fnOut ) { + return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); + }, + + bind: function( types, data, fn ) { + return this.on( types, null, data, fn ); + }, + unbind: function( types, fn ) { + return this.off( types, null, fn ); + }, + + delegate: function( selector, types, data, fn ) { + return this.on( types, selector, data, fn ); + }, + undelegate: function( selector, types, fn ) { + // ( namespace ) or ( selector, types [, fn] ) + return arguments.length === 1 ? this.off( selector, "**" ) : this.off( types, selector || "**", fn ); + } +}); +var + // Document location + ajaxLocParts, + ajaxLocation, + + ajax_nonce = jQuery.now(), + + ajax_rquery = /\?/, + rhash = /#.*$/, + rts = /([?&])_=[^&]*/, + rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, + // #7653, #8125, #8152: local protocol detection + rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, + rnoContent = /^(?:GET|HEAD)$/, + rprotocol = /^\/\//, + rurl = /^([\w.+-]+:)(?:\/\/([^\/?#:]*)(?::(\d+)|)|)/, + + // Keep a copy of the old load method + _load = jQuery.fn.load, + + /* Prefilters + * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) + * 2) These are called: + * - BEFORE asking for a transport + * - AFTER param serialization (s.data is a string if s.processData is true) + * 3) key is the dataType + * 4) the catchall symbol "*" can be used + * 5) execution will start with transport dataType and THEN continue down to "*" if needed + */ + prefilters = {}, + + /* Transports bindings + * 1) key is the dataType + * 2) the catchall symbol "*" can be used + * 3) selection will start with transport dataType and THEN go to "*" if needed + */ + transports = {}, + + // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression + allTypes = "*/".concat("*"); + +// #8138, IE may throw an exception when accessing +// a field from window.location if document.domain has been set +try { + ajaxLocation = location.href; +} catch( e ) { + // Use the href attribute of an A element + // since IE will modify it given document.location + ajaxLocation = document.createElement( "a" ); + ajaxLocation.href = ""; + ajaxLocation = ajaxLocation.href; +} + +// Segment location into parts +ajaxLocParts = rurl.exec( ajaxLocation.toLowerCase() ) || []; + +// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport +function addToPrefiltersOrTransports( structure ) { + + // dataTypeExpression is optional and defaults to "*" + return function( dataTypeExpression, func ) { + + if ( typeof dataTypeExpression !== "string" ) { + func = dataTypeExpression; + dataTypeExpression = "*"; + } + + var dataType, + i = 0, + dataTypes = dataTypeExpression.toLowerCase().match( core_rnotwhite ) || []; + + if ( jQuery.isFunction( func ) ) { + // For each dataType in the dataTypeExpression + while ( (dataType = dataTypes[i++]) ) { + // Prepend if requested + if ( dataType[0] === "+" ) { + dataType = dataType.slice( 1 ) || "*"; + (structure[ dataType ] = structure[ dataType ] || []).unshift( func ); + + // Otherwise append + } else { + (structure[ dataType ] = structure[ dataType ] || []).push( func ); + } + } + } + }; +} + +// Base inspection function for prefilters and transports +function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { + + var inspected = {}, + seekingTransport = ( structure === transports ); + + function inspect( dataType ) { + var selected; + inspected[ dataType ] = true; + jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { + var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); + if( typeof dataTypeOrTransport === "string" && !seekingTransport && !inspected[ dataTypeOrTransport ] ) { + options.dataTypes.unshift( dataTypeOrTransport ); + inspect( dataTypeOrTransport ); + return false; + } else if ( seekingTransport ) { + return !( selected = dataTypeOrTransport ); + } + }); + return selected; + } + + return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); +} + +// A special extend for ajax options +// that takes "flat" options (not to be deep extended) +// Fixes #9887 +function ajaxExtend( target, src ) { + var key, deep, + flatOptions = jQuery.ajaxSettings.flatOptions || {}; + + for ( key in src ) { + if ( src[ key ] !== undefined ) { + ( flatOptions[ key ] ? target : ( deep || (deep = {}) ) )[ key ] = src[ key ]; + } + } + if ( deep ) { + jQuery.extend( true, target, deep ); + } + + return target; +} + +jQuery.fn.load = function( url, params, callback ) { + if ( typeof url !== "string" && _load ) { + return _load.apply( this, arguments ); + } + + var selector, type, response, + self = this, + off = url.indexOf(" "); + + if ( off >= 0 ) { + selector = url.slice( off ); + url = url.slice( 0, off ); + } + + // If it's a function + if ( jQuery.isFunction( params ) ) { + + // We assume that it's the callback + callback = params; + params = undefined; + + // Otherwise, build a param string + } else if ( params && typeof params === "object" ) { + type = "POST"; + } + + // If we have elements to modify, make the request + if ( self.length > 0 ) { + jQuery.ajax({ + url: url, + + // if "type" variable is undefined, then "GET" method will be used + type: type, + dataType: "html", + data: params + }).done(function( responseText ) { + + // Save response for use in complete callback + response = arguments; + + self.html( selector ? + + // If a selector was specified, locate the right elements in a dummy div + // Exclude scripts to avoid IE 'Permission Denied' errors + jQuery("<div>").append( jQuery.parseHTML( responseText ) ).find( selector ) : + + // Otherwise use the full result + responseText ); + + }).complete( callback && function( jqXHR, status ) { + self.each( callback, response || [ jqXHR.responseText, status, jqXHR ] ); + }); + } + + return this; +}; + +// Attach a bunch of functions for handling common AJAX events +jQuery.each( [ "ajaxStart", "ajaxStop", "ajaxComplete", "ajaxError", "ajaxSuccess", "ajaxSend" ], function( i, type ){ + jQuery.fn[ type ] = function( fn ){ + return this.on( type, fn ); + }; +}); + +jQuery.extend({ + + // Counter for holding the number of active queries + active: 0, + + // Last-Modified header cache for next request + lastModified: {}, + etag: {}, + + ajaxSettings: { + url: ajaxLocation, + type: "GET", + isLocal: rlocalProtocol.test( ajaxLocParts[ 1 ] ), + global: true, + processData: true, + async: true, + contentType: "application/x-www-form-urlencoded; charset=UTF-8", + /* + timeout: 0, + data: null, + dataType: null, + username: null, + password: null, + cache: null, + throws: false, + traditional: false, + headers: {}, + */ + + accepts: { + "*": allTypes, + text: "text/plain", + html: "text/html", + xml: "application/xml, text/xml", + json: "application/json, text/javascript" + }, + + contents: { + xml: /xml/, + html: /html/, + json: /json/ + }, + + responseFields: { + xml: "responseXML", + text: "responseText", + json: "responseJSON" + }, + + // Data converters + // Keys separate source (or catchall "*") and destination types with a single space + converters: { + + // Convert anything to text + "* text": String, + + // Text to html (true = no transformation) + "text html": true, + + // Evaluate text as a json expression + "text json": jQuery.parseJSON, + + // Parse text as xml + "text xml": jQuery.parseXML + }, + + // For options that shouldn't be deep extended: + // you can add your own custom options here if + // and when you create one that shouldn't be + // deep extended (see ajaxExtend) + flatOptions: { + url: true, + context: true + } + }, + + // Creates a full fledged settings object into target + // with both ajaxSettings and settings fields. + // If target is omitted, writes into ajaxSettings. + ajaxSetup: function( target, settings ) { + return settings ? + + // Building a settings object + ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : + + // Extending ajaxSettings + ajaxExtend( jQuery.ajaxSettings, target ); + }, + + ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), + ajaxTransport: addToPrefiltersOrTransports( transports ), + + // Main method + ajax: function( url, options ) { + + // If url is an object, simulate pre-1.5 signature + if ( typeof url === "object" ) { + options = url; + url = undefined; + } + + // Force options to be an object + options = options || {}; + + var transport, + // URL without anti-cache param + cacheURL, + // Response headers + responseHeadersString, + responseHeaders, + // timeout handle + timeoutTimer, + // Cross-domain detection vars + parts, + // To know if global events are to be dispatched + fireGlobals, + // Loop variable + i, + // Create the final options object + s = jQuery.ajaxSetup( {}, options ), + // Callbacks context + callbackContext = s.context || s, + // Context for global events is callbackContext if it is a DOM node or jQuery collection + globalEventContext = s.context && ( callbackContext.nodeType || callbackContext.jquery ) ? + jQuery( callbackContext ) : + jQuery.event, + // Deferreds + deferred = jQuery.Deferred(), + completeDeferred = jQuery.Callbacks("once memory"), + // Status-dependent callbacks + statusCode = s.statusCode || {}, + // Headers (they are sent all at once) + requestHeaders = {}, + requestHeadersNames = {}, + // The jqXHR state + state = 0, + // Default abort message + strAbort = "canceled", + // Fake xhr + jqXHR = { + readyState: 0, + + // Builds headers hashtable if needed + getResponseHeader: function( key ) { + var match; + if ( state === 2 ) { + if ( !responseHeaders ) { + responseHeaders = {}; + while ( (match = rheaders.exec( responseHeadersString )) ) { + responseHeaders[ match[1].toLowerCase() ] = match[ 2 ]; + } + } + match = responseHeaders[ key.toLowerCase() ]; + } + return match == null ? null : match; + }, + + // Raw string + getAllResponseHeaders: function() { + return state === 2 ? responseHeadersString : null; + }, + + // Caches the header + setRequestHeader: function( name, value ) { + var lname = name.toLowerCase(); + if ( !state ) { + name = requestHeadersNames[ lname ] = requestHeadersNames[ lname ] || name; + requestHeaders[ name ] = value; + } + return this; + }, + + // Overrides response content-type header + overrideMimeType: function( type ) { + if ( !state ) { + s.mimeType = type; + } + return this; + }, + + // Status-dependent callbacks + statusCode: function( map ) { + var code; + if ( map ) { + if ( state < 2 ) { + for ( code in map ) { + // Lazy-add the new callback in a way that preserves old ones + statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; + } + } else { + // Execute the appropriate callbacks + jqXHR.always( map[ jqXHR.status ] ); + } + } + return this; + }, + + // Cancel the request + abort: function( statusText ) { + var finalText = statusText || strAbort; + if ( transport ) { + transport.abort( finalText ); + } + done( 0, finalText ); + return this; + } + }; + + // Attach deferreds + deferred.promise( jqXHR ).complete = completeDeferred.add; + jqXHR.success = jqXHR.done; + jqXHR.error = jqXHR.fail; + + // Remove hash character (#7531: and string promotion) + // Add protocol if not provided (prefilters might expect it) + // Handle falsy url in the settings object (#10093: consistency with old signature) + // We also use the url parameter if available + s.url = ( ( url || s.url || ajaxLocation ) + "" ).replace( rhash, "" ) + .replace( rprotocol, ajaxLocParts[ 1 ] + "//" ); + + // Alias method option to type as per ticket #12004 + s.type = options.method || options.type || s.method || s.type; + + // Extract dataTypes list + s.dataTypes = jQuery.trim( s.dataType || "*" ).toLowerCase().match( core_rnotwhite ) || [""]; + + // A cross-domain request is in order when we have a protocol:host:port mismatch + if ( s.crossDomain == null ) { + parts = rurl.exec( s.url.toLowerCase() ); + s.crossDomain = !!( parts && + ( parts[ 1 ] !== ajaxLocParts[ 1 ] || parts[ 2 ] !== ajaxLocParts[ 2 ] || + ( parts[ 3 ] || ( parts[ 1 ] === "http:" ? "80" : "443" ) ) !== + ( ajaxLocParts[ 3 ] || ( ajaxLocParts[ 1 ] === "http:" ? "80" : "443" ) ) ) + ); + } + + // Convert data if not already a string + if ( s.data && s.processData && typeof s.data !== "string" ) { + s.data = jQuery.param( s.data, s.traditional ); + } + + // Apply prefilters + inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); + + // If request was aborted inside a prefilter, stop there + if ( state === 2 ) { + return jqXHR; + } + + // We can fire global events as of now if asked to + fireGlobals = s.global; + + // Watch for a new set of requests + if ( fireGlobals && jQuery.active++ === 0 ) { + jQuery.event.trigger("ajaxStart"); + } + + // Uppercase the type + s.type = s.type.toUpperCase(); + + // Determine if request has content + s.hasContent = !rnoContent.test( s.type ); + + // Save the URL in case we're toying with the If-Modified-Since + // and/or If-None-Match header later on + cacheURL = s.url; + + // More options handling for requests with no content + if ( !s.hasContent ) { + + // If data is available, append data to url + if ( s.data ) { + cacheURL = ( s.url += ( ajax_rquery.test( cacheURL ) ? "&" : "?" ) + s.data ); + // #9682: remove data so that it's not used in an eventual retry + delete s.data; + } + + // Add anti-cache in url if needed + if ( s.cache === false ) { + s.url = rts.test( cacheURL ) ? + + // If there is already a '_' parameter, set its value + cacheURL.replace( rts, "$1_=" + ajax_nonce++ ) : + + // Otherwise add one to the end + cacheURL + ( ajax_rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ajax_nonce++; + } + } + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + if ( jQuery.lastModified[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); + } + if ( jQuery.etag[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); + } + } + + // Set the correct header, if data is being sent + if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { + jqXHR.setRequestHeader( "Content-Type", s.contentType ); + } + + // Set the Accepts header for the server, depending on the dataType + jqXHR.setRequestHeader( + "Accept", + s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[0] ] ? + s.accepts[ s.dataTypes[0] ] + ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : + s.accepts[ "*" ] + ); + + // Check for headers option + for ( i in s.headers ) { + jqXHR.setRequestHeader( i, s.headers[ i ] ); + } + + // Allow custom headers/mimetypes and early abort + if ( s.beforeSend && ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || state === 2 ) ) { + // Abort if not done already and return + return jqXHR.abort(); + } + + // aborting is no longer a cancellation + strAbort = "abort"; + + // Install callbacks on deferreds + for ( i in { success: 1, error: 1, complete: 1 } ) { + jqXHR[ i ]( s[ i ] ); + } + + // Get transport + transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); + + // If no transport, we auto-abort + if ( !transport ) { + done( -1, "No Transport" ); + } else { + jqXHR.readyState = 1; + + // Send global event + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); + } + // Timeout + if ( s.async && s.timeout > 0 ) { + timeoutTimer = setTimeout(function() { + jqXHR.abort("timeout"); + }, s.timeout ); + } + + try { + state = 1; + transport.send( requestHeaders, done ); + } catch ( e ) { + // Propagate exception as error if not done + if ( state < 2 ) { + done( -1, e ); + // Simply rethrow otherwise + } else { + throw e; + } + } + } + + // Callback for when everything is done + function done( status, nativeStatusText, responses, headers ) { + var isSuccess, success, error, response, modified, + statusText = nativeStatusText; + + // Called once + if ( state === 2 ) { + return; + } + + // State is "done" now + state = 2; + + // Clear timeout if it exists + if ( timeoutTimer ) { + clearTimeout( timeoutTimer ); + } + + // Dereference transport for early garbage collection + // (no matter how long the jqXHR object will be used) + transport = undefined; + + // Cache response headers + responseHeadersString = headers || ""; + + // Set readyState + jqXHR.readyState = status > 0 ? 4 : 0; + + // Determine if successful + isSuccess = status >= 200 && status < 300 || status === 304; + + // Get response data + if ( responses ) { + response = ajaxHandleResponses( s, jqXHR, responses ); + } + + // Convert no matter what (that way responseXXX fields are always set) + response = ajaxConvert( s, response, jqXHR, isSuccess ); + + // If successful, handle type chaining + if ( isSuccess ) { + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + modified = jqXHR.getResponseHeader("Last-Modified"); + if ( modified ) { + jQuery.lastModified[ cacheURL ] = modified; + } + modified = jqXHR.getResponseHeader("etag"); + if ( modified ) { + jQuery.etag[ cacheURL ] = modified; + } + } + + // if no content + if ( status === 204 ) { + statusText = "nocontent"; + + // if not modified + } else if ( status === 304 ) { + statusText = "notmodified"; + + // If we have data, let's convert it + } else { + statusText = response.state; + success = response.data; + error = response.error; + isSuccess = !error; + } + } else { + // We extract error from statusText + // then normalize statusText and status for non-aborts + error = statusText; + if ( status || !statusText ) { + statusText = "error"; + if ( status < 0 ) { + status = 0; + } + } + } + + // Set data for the fake xhr object + jqXHR.status = status; + jqXHR.statusText = ( nativeStatusText || statusText ) + ""; + + // Success/Error + if ( isSuccess ) { + deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); + } else { + deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); + } + + // Status-dependent callbacks + jqXHR.statusCode( statusCode ); + statusCode = undefined; + + if ( fireGlobals ) { + globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", + [ jqXHR, s, isSuccess ? success : error ] ); + } + + // Complete + completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); + + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); + // Handle the global AJAX counter + if ( !( --jQuery.active ) ) { + jQuery.event.trigger("ajaxStop"); + } + } + } + + return jqXHR; + }, + + getJSON: function( url, data, callback ) { + return jQuery.get( url, data, callback, "json" ); + }, + + getScript: function( url, callback ) { + return jQuery.get( url, undefined, callback, "script" ); + } +}); + +jQuery.each( [ "get", "post" ], function( i, method ) { + jQuery[ method ] = function( url, data, callback, type ) { + // shift arguments if data argument was omitted + if ( jQuery.isFunction( data ) ) { + type = type || callback; + callback = data; + data = undefined; + } + + return jQuery.ajax({ + url: url, + type: method, + dataType: type, + data: data, + success: callback + }); + }; +}); + +/* Handles responses to an ajax request: + * - finds the right dataType (mediates between content-type and expected dataType) + * - returns the corresponding response + */ +function ajaxHandleResponses( s, jqXHR, responses ) { + + var ct, type, finalDataType, firstDataType, + contents = s.contents, + dataTypes = s.dataTypes; + + // Remove auto dataType and get content-type in the process + while( dataTypes[ 0 ] === "*" ) { + dataTypes.shift(); + if ( ct === undefined ) { + ct = s.mimeType || jqXHR.getResponseHeader("Content-Type"); + } + } + + // Check if we're dealing with a known content-type + if ( ct ) { + for ( type in contents ) { + if ( contents[ type ] && contents[ type ].test( ct ) ) { + dataTypes.unshift( type ); + break; + } + } + } + + // Check to see if we have a response for the expected dataType + if ( dataTypes[ 0 ] in responses ) { + finalDataType = dataTypes[ 0 ]; + } else { + // Try convertible dataTypes + for ( type in responses ) { + if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[0] ] ) { + finalDataType = type; + break; + } + if ( !firstDataType ) { + firstDataType = type; + } + } + // Or just use first one + finalDataType = finalDataType || firstDataType; + } + + // If we found a dataType + // We add the dataType to the list if needed + // and return the corresponding response + if ( finalDataType ) { + if ( finalDataType !== dataTypes[ 0 ] ) { + dataTypes.unshift( finalDataType ); + } + return responses[ finalDataType ]; + } +} + +/* Chain conversions given the request and the original response + * Also sets the responseXXX fields on the jqXHR instance + */ +function ajaxConvert( s, response, jqXHR, isSuccess ) { + var conv2, current, conv, tmp, prev, + converters = {}, + // Work with a copy of dataTypes in case we need to modify it for conversion + dataTypes = s.dataTypes.slice(); + + // Create converters map with lowercased keys + if ( dataTypes[ 1 ] ) { + for ( conv in s.converters ) { + converters[ conv.toLowerCase() ] = s.converters[ conv ]; + } + } + + current = dataTypes.shift(); + + // Convert to each sequential dataType + while ( current ) { + + if ( s.responseFields[ current ] ) { + jqXHR[ s.responseFields[ current ] ] = response; + } + + // Apply the dataFilter if provided + if ( !prev && isSuccess && s.dataFilter ) { + response = s.dataFilter( response, s.dataType ); + } + + prev = current; + current = dataTypes.shift(); + + if ( current ) { + + // There's only work to do if current dataType is non-auto + if ( current === "*" ) { + + current = prev; + + // Convert response if prev dataType is non-auto and differs from current + } else if ( prev !== "*" && prev !== current ) { + + // Seek a direct converter + conv = converters[ prev + " " + current ] || converters[ "* " + current ]; + + // If none found, seek a pair + if ( !conv ) { + for ( conv2 in converters ) { + + // If conv2 outputs current + tmp = conv2.split( " " ); + if ( tmp[ 1 ] === current ) { + + // If prev can be converted to accepted input + conv = converters[ prev + " " + tmp[ 0 ] ] || + converters[ "* " + tmp[ 0 ] ]; + if ( conv ) { + // Condense equivalence converters + if ( conv === true ) { + conv = converters[ conv2 ]; + + // Otherwise, insert the intermediate dataType + } else if ( converters[ conv2 ] !== true ) { + current = tmp[ 0 ]; + dataTypes.unshift( tmp[ 1 ] ); + } + break; + } + } + } + } + + // Apply converter (if not an equivalence) + if ( conv !== true ) { + + // Unless errors are allowed to bubble, catch and return them + if ( conv && s[ "throws" ] ) { + response = conv( response ); + } else { + try { + response = conv( response ); + } catch ( e ) { + return { state: "parsererror", error: conv ? e : "No conversion from " + prev + " to " + current }; + } + } + } + } + } + } + + return { state: "success", data: response }; +} +// Install script dataType +jQuery.ajaxSetup({ + accepts: { + script: "text/javascript, application/javascript, application/ecmascript, application/x-ecmascript" + }, + contents: { + script: /(?:java|ecma)script/ + }, + converters: { + "text script": function( text ) { + jQuery.globalEval( text ); + return text; + } + } +}); + +// Handle cache's special case and crossDomain +jQuery.ajaxPrefilter( "script", function( s ) { + if ( s.cache === undefined ) { + s.cache = false; + } + if ( s.crossDomain ) { + s.type = "GET"; + } +}); + +// Bind script tag hack transport +jQuery.ajaxTransport( "script", function( s ) { + // This transport only deals with cross domain requests + if ( s.crossDomain ) { + var script, callback; + return { + send: function( _, complete ) { + script = jQuery("<script>").prop({ + async: true, + charset: s.scriptCharset, + src: s.url + }).on( + "load error", + callback = function( evt ) { + script.remove(); + callback = null; + if ( evt ) { + complete( evt.type === "error" ? 404 : 200, evt.type ); + } + } + ); + document.head.appendChild( script[ 0 ] ); + }, + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +}); +var oldCallbacks = [], + rjsonp = /(=)\?(?=&|$)|\?\?/; + +// Default jsonp settings +jQuery.ajaxSetup({ + jsonp: "callback", + jsonpCallback: function() { + var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( ajax_nonce++ ) ); + this[ callback ] = true; + return callback; + } +}); + +// Detect, normalize options and install callbacks for jsonp requests +jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) { + + var callbackName, overwritten, responseContainer, + jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ? + "url" : + typeof s.data === "string" && !( s.contentType || "" ).indexOf("application/x-www-form-urlencoded") && rjsonp.test( s.data ) && "data" + ); + + // Handle iff the expected data type is "jsonp" or we have a parameter to set + if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) { + + // Get callback name, remembering preexisting value associated with it + callbackName = s.jsonpCallback = jQuery.isFunction( s.jsonpCallback ) ? + s.jsonpCallback() : + s.jsonpCallback; + + // Insert callback into url or form data + if ( jsonProp ) { + s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName ); + } else if ( s.jsonp !== false ) { + s.url += ( ajax_rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName; + } + + // Use data converter to retrieve json after script execution + s.converters["script json"] = function() { + if ( !responseContainer ) { + jQuery.error( callbackName + " was not called" ); + } + return responseContainer[ 0 ]; + }; + + // force json dataType + s.dataTypes[ 0 ] = "json"; + + // Install callback + overwritten = window[ callbackName ]; + window[ callbackName ] = function() { + responseContainer = arguments; + }; + + // Clean-up function (fires after converters) + jqXHR.always(function() { + // Restore preexisting value + window[ callbackName ] = overwritten; + + // Save back as free + if ( s[ callbackName ] ) { + // make sure that re-using the options doesn't screw things around + s.jsonpCallback = originalSettings.jsonpCallback; + + // save the callback name for future use + oldCallbacks.push( callbackName ); + } + + // Call if it was a function and we have a response + if ( responseContainer && jQuery.isFunction( overwritten ) ) { + overwritten( responseContainer[ 0 ] ); + } + + responseContainer = overwritten = undefined; + }); + + // Delegate to script + return "script"; + } +}); +jQuery.ajaxSettings.xhr = function() { + try { + return new XMLHttpRequest(); + } catch( e ) {} +}; + +var xhrSupported = jQuery.ajaxSettings.xhr(), + xhrSuccessStatus = { + // file protocol always yields status code 0, assume 200 + 0: 200, + // Support: IE9 + // #1450: sometimes IE returns 1223 when it should be 204 + 1223: 204 + }, + // Support: IE9 + // We need to keep track of outbound xhr and abort them manually + // because IE is not smart enough to do it all by itself + xhrId = 0, + xhrCallbacks = {}; + +if ( window.ActiveXObject ) { + jQuery( window ).on( "unload", function() { + for( var key in xhrCallbacks ) { + xhrCallbacks[ key ](); + } + xhrCallbacks = undefined; + }); +} + +jQuery.support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); +jQuery.support.ajax = xhrSupported = !!xhrSupported; + +jQuery.ajaxTransport(function( options ) { + var callback; + // Cross domain only allowed if supported through XMLHttpRequest + if ( jQuery.support.cors || xhrSupported && !options.crossDomain ) { + return { + send: function( headers, complete ) { + var i, id, + xhr = options.xhr(); + xhr.open( options.type, options.url, options.async, options.username, options.password ); + // Apply custom fields if provided + if ( options.xhrFields ) { + for ( i in options.xhrFields ) { + xhr[ i ] = options.xhrFields[ i ]; + } + } + // Override mime type if needed + if ( options.mimeType && xhr.overrideMimeType ) { + xhr.overrideMimeType( options.mimeType ); + } + // X-Requested-With header + // For cross-domain requests, seeing as conditions for a preflight are + // akin to a jigsaw puzzle, we simply never set it to be sure. + // (it can always be set on a per-request basis or even using ajaxSetup) + // For same-domain requests, won't change header if already provided. + if ( !options.crossDomain && !headers["X-Requested-With"] ) { + headers["X-Requested-With"] = "XMLHttpRequest"; + } + // Set headers + for ( i in headers ) { + xhr.setRequestHeader( i, headers[ i ] ); + } + // Callback + callback = function( type ) { + return function() { + if ( callback ) { + delete xhrCallbacks[ id ]; + callback = xhr.onload = xhr.onerror = null; + if ( type === "abort" ) { + xhr.abort(); + } else if ( type === "error" ) { + complete( + // file protocol always yields status 0, assume 404 + xhr.status || 404, + xhr.statusText + ); + } else { + complete( + xhrSuccessStatus[ xhr.status ] || xhr.status, + xhr.statusText, + // Support: IE9 + // #11426: When requesting binary data, IE9 will throw an exception + // on any attempt to access responseText + typeof xhr.responseText === "string" ? { + text: xhr.responseText + } : undefined, + xhr.getAllResponseHeaders() + ); + } + } + }; + }; + // Listen to events + xhr.onload = callback(); + xhr.onerror = callback("error"); + // Create the abort callback + callback = xhrCallbacks[( id = xhrId++ )] = callback("abort"); + // Do send the request + // This may raise an exception which is actually + // handled in jQuery.ajax (so no try/catch here) + xhr.send( options.hasContent && options.data || null ); + }, + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +}); +var fxNow, timerId, + rfxtypes = /^(?:toggle|show|hide)$/, + rfxnum = new RegExp( "^(?:([+-])=|)(" + core_pnum + ")([a-z%]*)$", "i" ), + rrun = /queueHooks$/, + animationPrefilters = [ defaultPrefilter ], + tweeners = { + "*": [function( prop, value ) { + var end, unit, + tween = this.createTween( prop, value ), + parts = rfxnum.exec( value ), + target = tween.cur(), + start = +target || 0, + scale = 1, + maxIterations = 20; + + if ( parts ) { + end = +parts[2]; + unit = parts[3] || ( jQuery.cssNumber[ prop ] ? "" : "px" ); + + // We need to compute starting value + if ( unit !== "px" && start ) { + // Iteratively approximate from a nonzero starting point + // Prefer the current property, because this process will be trivial if it uses the same units + // Fallback to end or a simple constant + start = jQuery.css( tween.elem, prop, true ) || end || 1; + + do { + // If previous iteration zeroed out, double until we get *something* + // Use a string for doubling factor so we don't accidentally see scale as unchanged below + scale = scale || ".5"; + + // Adjust and apply + start = start / scale; + jQuery.style( tween.elem, prop, start + unit ); + + // Update scale, tolerating zero or NaN from tween.cur() + // And breaking the loop if scale is unchanged or perfect, or if we've just had enough + } while ( scale !== (scale = tween.cur() / target) && scale !== 1 && --maxIterations ); + } + + tween.unit = unit; + tween.start = start; + // If a +=/-= token was provided, we're doing a relative animation + tween.end = parts[1] ? start + ( parts[1] + 1 ) * end : end; + } + return tween; + }] + }; + +// Animations created synchronously will run synchronously +function createFxNow() { + setTimeout(function() { + fxNow = undefined; + }); + return ( fxNow = jQuery.now() ); +} + +function createTweens( animation, props ) { + jQuery.each( props, function( prop, value ) { + var collection = ( tweeners[ prop ] || [] ).concat( tweeners[ "*" ] ), + index = 0, + length = collection.length; + for ( ; index < length; index++ ) { + if ( collection[ index ].call( animation, prop, value ) ) { + + // we're done with this property + return; + } + } + }); +} + +function Animation( elem, properties, options ) { + var result, + stopped, + index = 0, + length = animationPrefilters.length, + deferred = jQuery.Deferred().always( function() { + // don't match elem in the :animated selector + delete tick.elem; + }), + tick = function() { + if ( stopped ) { + return false; + } + var currentTime = fxNow || createFxNow(), + remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), + // archaic crash bug won't allow us to use 1 - ( 0.5 || 0 ) (#12497) + temp = remaining / animation.duration || 0, + percent = 1 - temp, + index = 0, + length = animation.tweens.length; + + for ( ; index < length ; index++ ) { + animation.tweens[ index ].run( percent ); + } + + deferred.notifyWith( elem, [ animation, percent, remaining ]); + + if ( percent < 1 && length ) { + return remaining; + } else { + deferred.resolveWith( elem, [ animation ] ); + return false; + } + }, + animation = deferred.promise({ + elem: elem, + props: jQuery.extend( {}, properties ), + opts: jQuery.extend( true, { specialEasing: {} }, options ), + originalProperties: properties, + originalOptions: options, + startTime: fxNow || createFxNow(), + duration: options.duration, + tweens: [], + createTween: function( prop, end ) { + var tween = jQuery.Tween( elem, animation.opts, prop, end, + animation.opts.specialEasing[ prop ] || animation.opts.easing ); + animation.tweens.push( tween ); + return tween; + }, + stop: function( gotoEnd ) { + var index = 0, + // if we are going to the end, we want to run all the tweens + // otherwise we skip this part + length = gotoEnd ? animation.tweens.length : 0; + if ( stopped ) { + return this; + } + stopped = true; + for ( ; index < length ; index++ ) { + animation.tweens[ index ].run( 1 ); + } + + // resolve when we played the last frame + // otherwise, reject + if ( gotoEnd ) { + deferred.resolveWith( elem, [ animation, gotoEnd ] ); + } else { + deferred.rejectWith( elem, [ animation, gotoEnd ] ); + } + return this; + } + }), + props = animation.props; + + propFilter( props, animation.opts.specialEasing ); + + for ( ; index < length ; index++ ) { + result = animationPrefilters[ index ].call( animation, elem, props, animation.opts ); + if ( result ) { + return result; + } + } + + createTweens( animation, props ); + + if ( jQuery.isFunction( animation.opts.start ) ) { + animation.opts.start.call( elem, animation ); + } + + jQuery.fx.timer( + jQuery.extend( tick, { + elem: elem, + anim: animation, + queue: animation.opts.queue + }) + ); + + // attach callbacks from options + return animation.progress( animation.opts.progress ) + .done( animation.opts.done, animation.opts.complete ) + .fail( animation.opts.fail ) + .always( animation.opts.always ); +} + +function propFilter( props, specialEasing ) { + var index, name, easing, value, hooks; + + // camelCase, specialEasing and expand cssHook pass + for ( index in props ) { + name = jQuery.camelCase( index ); + easing = specialEasing[ name ]; + value = props[ index ]; + if ( jQuery.isArray( value ) ) { + easing = value[ 1 ]; + value = props[ index ] = value[ 0 ]; + } + + if ( index !== name ) { + props[ name ] = value; + delete props[ index ]; + } + + hooks = jQuery.cssHooks[ name ]; + if ( hooks && "expand" in hooks ) { + value = hooks.expand( value ); + delete props[ name ]; + + // not quite $.extend, this wont overwrite keys already present. + // also - reusing 'index' from above because we have the correct "name" + for ( index in value ) { + if ( !( index in props ) ) { + props[ index ] = value[ index ]; + specialEasing[ index ] = easing; + } + } + } else { + specialEasing[ name ] = easing; + } + } +} + +jQuery.Animation = jQuery.extend( Animation, { + + tweener: function( props, callback ) { + if ( jQuery.isFunction( props ) ) { + callback = props; + props = [ "*" ]; + } else { + props = props.split(" "); + } + + var prop, + index = 0, + length = props.length; + + for ( ; index < length ; index++ ) { + prop = props[ index ]; + tweeners[ prop ] = tweeners[ prop ] || []; + tweeners[ prop ].unshift( callback ); + } + }, + + prefilter: function( callback, prepend ) { + if ( prepend ) { + animationPrefilters.unshift( callback ); + } else { + animationPrefilters.push( callback ); + } + } +}); + +function defaultPrefilter( elem, props, opts ) { + /* jshint validthis: true */ + var index, prop, value, length, dataShow, toggle, tween, hooks, oldfire, + anim = this, + style = elem.style, + orig = {}, + handled = [], + hidden = elem.nodeType && isHidden( elem ); + + // handle queue: false promises + if ( !opts.queue ) { + hooks = jQuery._queueHooks( elem, "fx" ); + if ( hooks.unqueued == null ) { + hooks.unqueued = 0; + oldfire = hooks.empty.fire; + hooks.empty.fire = function() { + if ( !hooks.unqueued ) { + oldfire(); + } + }; + } + hooks.unqueued++; + + anim.always(function() { + // doing this makes sure that the complete handler will be called + // before this completes + anim.always(function() { + hooks.unqueued--; + if ( !jQuery.queue( elem, "fx" ).length ) { + hooks.empty.fire(); + } + }); + }); + } + + // height/width overflow pass + if ( elem.nodeType === 1 && ( "height" in props || "width" in props ) ) { + // Make sure that nothing sneaks out + // Record all 3 overflow attributes because IE9-10 do not + // change the overflow attribute when overflowX and + // overflowY are set to the same value + opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; + + // Set display property to inline-block for height/width + // animations on inline elements that are having width/height animated + if ( jQuery.css( elem, "display" ) === "inline" && + jQuery.css( elem, "float" ) === "none" ) { + + style.display = "inline-block"; + } + } + + if ( opts.overflow ) { + style.overflow = "hidden"; + anim.always(function() { + style.overflow = opts.overflow[ 0 ]; + style.overflowX = opts.overflow[ 1 ]; + style.overflowY = opts.overflow[ 2 ]; + }); + } + + + // show/hide pass + dataShow = data_priv.get( elem, "fxshow" ); + for ( index in props ) { + value = props[ index ]; + if ( rfxtypes.exec( value ) ) { + delete props[ index ]; + toggle = toggle || value === "toggle"; + if ( value === ( hidden ? "hide" : "show" ) ) { + + // If there is dataShow left over from a stopped hide or show and we are going to proceed with show, we should pretend to be hidden + if( value === "show" && dataShow !== undefined && dataShow[ index ] !== undefined ) { + hidden = true; + } else { + continue; + } + } + handled.push( index ); + } + } + + length = handled.length; + if ( length ) { + dataShow = data_priv.get( elem, "fxshow" ) || data_priv.access( elem, "fxshow", {} ); + if ( "hidden" in dataShow ) { + hidden = dataShow.hidden; + } + + // store state if its toggle - enables .stop().toggle() to "reverse" + if ( toggle ) { + dataShow.hidden = !hidden; + } + if ( hidden ) { + jQuery( elem ).show(); + } else { + anim.done(function() { + jQuery( elem ).hide(); + }); + } + anim.done(function() { + var prop; + + data_priv.remove( elem, "fxshow" ); + for ( prop in orig ) { + jQuery.style( elem, prop, orig[ prop ] ); + } + }); + for ( index = 0 ; index < length ; index++ ) { + prop = handled[ index ]; + tween = anim.createTween( prop, hidden ? dataShow[ prop ] : 0 ); + orig[ prop ] = dataShow[ prop ] || jQuery.style( elem, prop ); + + if ( !( prop in dataShow ) ) { + dataShow[ prop ] = tween.start; + if ( hidden ) { + tween.end = tween.start; + tween.start = prop === "width" || prop === "height" ? 1 : 0; + } + } + } + } +} + +function Tween( elem, options, prop, end, easing ) { + return new Tween.prototype.init( elem, options, prop, end, easing ); +} +jQuery.Tween = Tween; + +Tween.prototype = { + constructor: Tween, + init: function( elem, options, prop, end, easing, unit ) { + this.elem = elem; + this.prop = prop; + this.easing = easing || "swing"; + this.options = options; + this.start = this.now = this.cur(); + this.end = end; + this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); + }, + cur: function() { + var hooks = Tween.propHooks[ this.prop ]; + + return hooks && hooks.get ? + hooks.get( this ) : + Tween.propHooks._default.get( this ); + }, + run: function( percent ) { + var eased, + hooks = Tween.propHooks[ this.prop ]; + + if ( this.options.duration ) { + this.pos = eased = jQuery.easing[ this.easing ]( + percent, this.options.duration * percent, 0, 1, this.options.duration + ); + } else { + this.pos = eased = percent; + } + this.now = ( this.end - this.start ) * eased + this.start; + + if ( this.options.step ) { + this.options.step.call( this.elem, this.now, this ); + } + + if ( hooks && hooks.set ) { + hooks.set( this ); + } else { + Tween.propHooks._default.set( this ); + } + return this; + } +}; + +Tween.prototype.init.prototype = Tween.prototype; + +Tween.propHooks = { + _default: { + get: function( tween ) { + var result; + + if ( tween.elem[ tween.prop ] != null && + (!tween.elem.style || tween.elem.style[ tween.prop ] == null) ) { + return tween.elem[ tween.prop ]; + } + + // passing an empty string as a 3rd parameter to .css will automatically + // attempt a parseFloat and fallback to a string if the parse fails + // so, simple values such as "10px" are parsed to Float. + // complex values such as "rotate(1rad)" are returned as is. + result = jQuery.css( tween.elem, tween.prop, "" ); + // Empty strings, null, undefined and "auto" are converted to 0. + return !result || result === "auto" ? 0 : result; + }, + set: function( tween ) { + // use step hook for back compat - use cssHook if its there - use .style if its + // available and use plain properties where available + if ( jQuery.fx.step[ tween.prop ] ) { + jQuery.fx.step[ tween.prop ]( tween ); + } else if ( tween.elem.style && ( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null || jQuery.cssHooks[ tween.prop ] ) ) { + jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); + } else { + tween.elem[ tween.prop ] = tween.now; + } + } + } +}; + +// Support: IE9 +// Panic based approach to setting things on disconnected nodes + +Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { + set: function( tween ) { + if ( tween.elem.nodeType && tween.elem.parentNode ) { + tween.elem[ tween.prop ] = tween.now; + } + } +}; + +jQuery.each([ "toggle", "show", "hide" ], function( i, name ) { + var cssFn = jQuery.fn[ name ]; + jQuery.fn[ name ] = function( speed, easing, callback ) { + return speed == null || typeof speed === "boolean" ? + cssFn.apply( this, arguments ) : + this.animate( genFx( name, true ), speed, easing, callback ); + }; +}); + +jQuery.fn.extend({ + fadeTo: function( speed, to, easing, callback ) { + + // show any hidden elements after setting opacity to 0 + return this.filter( isHidden ).css( "opacity", 0 ).show() + + // animate to the value specified + .end().animate({ opacity: to }, speed, easing, callback ); + }, + animate: function( prop, speed, easing, callback ) { + var empty = jQuery.isEmptyObject( prop ), + optall = jQuery.speed( speed, easing, callback ), + doAnimation = function() { + // Operate on a copy of prop so per-property easing won't be lost + var anim = Animation( this, jQuery.extend( {}, prop ), optall ); + doAnimation.finish = function() { + anim.stop( true ); + }; + // Empty animations, or finishing resolves immediately + if ( empty || data_priv.get( this, "finish" ) ) { + anim.stop( true ); + } + }; + doAnimation.finish = doAnimation; + + return empty || optall.queue === false ? + this.each( doAnimation ) : + this.queue( optall.queue, doAnimation ); + }, + stop: function( type, clearQueue, gotoEnd ) { + var stopQueue = function( hooks ) { + var stop = hooks.stop; + delete hooks.stop; + stop( gotoEnd ); + }; + + if ( typeof type !== "string" ) { + gotoEnd = clearQueue; + clearQueue = type; + type = undefined; + } + if ( clearQueue && type !== false ) { + this.queue( type || "fx", [] ); + } + + return this.each(function() { + var dequeue = true, + index = type != null && type + "queueHooks", + timers = jQuery.timers, + data = data_priv.get( this ); + + if ( index ) { + if ( data[ index ] && data[ index ].stop ) { + stopQueue( data[ index ] ); + } + } else { + for ( index in data ) { + if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { + stopQueue( data[ index ] ); + } + } + } + + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && (type == null || timers[ index ].queue === type) ) { + timers[ index ].anim.stop( gotoEnd ); + dequeue = false; + timers.splice( index, 1 ); + } + } + + // start the next in the queue if the last step wasn't forced + // timers currently will call their complete callbacks, which will dequeue + // but only if they were gotoEnd + if ( dequeue || !gotoEnd ) { + jQuery.dequeue( this, type ); + } + }); + }, + finish: function( type ) { + if ( type !== false ) { + type = type || "fx"; + } + return this.each(function() { + var index, + data = data_priv.get( this ), + queue = data[ type + "queue" ], + hooks = data[ type + "queueHooks" ], + timers = jQuery.timers, + length = queue ? queue.length : 0; + + // enable finishing flag on private data + data.finish = true; + + // empty the queue first + jQuery.queue( this, type, [] ); + + if ( hooks && hooks.cur && hooks.cur.finish ) { + hooks.cur.finish.call( this ); + } + + // look for any active animations, and finish them + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && timers[ index ].queue === type ) { + timers[ index ].anim.stop( true ); + timers.splice( index, 1 ); + } + } + + // look for any animations in the old queue and finish them + for ( index = 0; index < length; index++ ) { + if ( queue[ index ] && queue[ index ].finish ) { + queue[ index ].finish.call( this ); + } + } + + // turn off finishing flag + delete data.finish; + }); + } +}); + +// Generate parameters to create a standard animation +function genFx( type, includeWidth ) { + var which, + attrs = { height: type }, + i = 0; + + // if we include width, step value is 1 to do all cssExpand values, + // if we don't include width, step value is 2 to skip over Left and Right + includeWidth = includeWidth? 1 : 0; + for( ; i < 4 ; i += 2 - includeWidth ) { + which = cssExpand[ i ]; + attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; + } + + if ( includeWidth ) { + attrs.opacity = attrs.width = type; + } + + return attrs; +} + +// Generate shortcuts for custom animations +jQuery.each({ + slideDown: genFx("show"), + slideUp: genFx("hide"), + slideToggle: genFx("toggle"), + fadeIn: { opacity: "show" }, + fadeOut: { opacity: "hide" }, + fadeToggle: { opacity: "toggle" } +}, function( name, props ) { + jQuery.fn[ name ] = function( speed, easing, callback ) { + return this.animate( props, speed, easing, callback ); + }; +}); + +jQuery.speed = function( speed, easing, fn ) { + var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { + complete: fn || !fn && easing || + jQuery.isFunction( speed ) && speed, + duration: speed, + easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing + }; + + opt.duration = jQuery.fx.off ? 0 : typeof opt.duration === "number" ? opt.duration : + opt.duration in jQuery.fx.speeds ? jQuery.fx.speeds[ opt.duration ] : jQuery.fx.speeds._default; + + // normalize opt.queue - true/undefined/null -> "fx" + if ( opt.queue == null || opt.queue === true ) { + opt.queue = "fx"; + } + + // Queueing + opt.old = opt.complete; + + opt.complete = function() { + if ( jQuery.isFunction( opt.old ) ) { + opt.old.call( this ); + } + + if ( opt.queue ) { + jQuery.dequeue( this, opt.queue ); + } + }; + + return opt; +}; + +jQuery.easing = { + linear: function( p ) { + return p; + }, + swing: function( p ) { + return 0.5 - Math.cos( p*Math.PI ) / 2; + } +}; + +jQuery.timers = []; +jQuery.fx = Tween.prototype.init; +jQuery.fx.tick = function() { + var timer, + timers = jQuery.timers, + i = 0; + + fxNow = jQuery.now(); + + for ( ; i < timers.length; i++ ) { + timer = timers[ i ]; + // Checks the timer has not already been removed + if ( !timer() && timers[ i ] === timer ) { + timers.splice( i--, 1 ); + } + } + + if ( !timers.length ) { + jQuery.fx.stop(); + } + fxNow = undefined; +}; + +jQuery.fx.timer = function( timer ) { + if ( timer() && jQuery.timers.push( timer ) ) { + jQuery.fx.start(); + } +}; + +jQuery.fx.interval = 13; + +jQuery.fx.start = function() { + if ( !timerId ) { + timerId = setInterval( jQuery.fx.tick, jQuery.fx.interval ); + } +}; + +jQuery.fx.stop = function() { + clearInterval( timerId ); + timerId = null; +}; + +jQuery.fx.speeds = { + slow: 600, + fast: 200, + // Default speed + _default: 400 +}; + +// Back Compat <1.8 extension point +jQuery.fx.step = {}; + +if ( jQuery.expr && jQuery.expr.filters ) { + jQuery.expr.filters.animated = function( elem ) { + return jQuery.grep(jQuery.timers, function( fn ) { + return elem === fn.elem; + }).length; + }; +} +jQuery.fn.offset = function( options ) { + if ( arguments.length ) { + return options === undefined ? 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butler", + "main": "popup.js", + "author": "", + "license": "MIT", + "scripts": { + "dev": "npx tailwindcss -i ./styles.css -o ./dist/output.css --watch" + }, + "keywords": [ + "DocsGPT", + "Documentation", + "Chrome", + "extension" + ], + "devDependencies": { + "tailwindcss": "^3.2.4" + } +} diff --git a/extensions/chrome/popup.html b/extensions/chrome/popup.html new file mode 100644 index 00000000..98921086 --- /dev/null +++ b/extensions/chrome/popup.html @@ -0,0 +1,56 @@ +<!DOCTYPE html> +<html> + <head> + <title>Chat Extension + + + + + + + +
+

DocsGPT

+ About +
+
+
+ +
+
+

Hello, ask me anything about this library. Im here to help

+
+
+

How to create API key for Api gateway?

+
+
+

Import the boto3 library and create a client for the API Gateway service:

+ + +
+
+ client = boto3.client('apigateway') + + +
+
+

Create an API key:

+ +
+
+ response = client.create_api_key(
name='API_KEY_NAME',
description='API key description',
enabled=True)
api_key = response['value'] + +
+
+
+
+
+ + +
+
+ +
+ + + diff --git a/extensions/chrome/popup.js b/extensions/chrome/popup.js new file mode 100644 index 00000000..70b7415d --- /dev/null +++ b/extensions/chrome/popup.js @@ -0,0 +1,46 @@ +document.getElementById("message-form").addEventListener("submit", function(event) { + event.preventDefault(); + var message = document.getElementById("message-input").value; + chrome.runtime.sendMessage({msg: "sendMessage", message: message}, function(response) { + console.log(response.response); + msg_html = '

' + msg_html += message + msg_html += '

' + document.getElementById("messages").innerHTML += msg_html; + let chatWindow = document.getElementById("chat-container"); + chatWindow.scrollTop = chatWindow.scrollHeight; + + }); + + document.getElementById("message-input").value = ""; + var conversation_state = localStorage.getItem("conversation_state"); + // check if conversation state is null + if (conversation_state == null) { + conversation_state = 0; + localStorage.setItem("conversation_state", conversation_state); + } + + // send post request to server http://127.0.0.1:5000/ with message in json body + fetch('http://127.0.0.1:7091/api/answer', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({question: message, history: null}), + }) + .then(response => response.json()) + .then(data => { + console.log('Success:', data); + + + msg_html = '
' + msg_html += data.answer + msg_html += '
' + document.getElementById("messages").innerHTML += msg_html; + let chatWindow = document.getElementById("chat-container"); + chatWindow.scrollTop = chatWindow.scrollHeight; + }) + + + }); + \ No newline at end of file diff --git a/extensions/chrome/src/bg/service-worker.js b/extensions/chrome/src/bg/service-worker.js new file mode 100644 index 00000000..4d4f3d5c --- /dev/null +++ b/extensions/chrome/src/bg/service-worker.js @@ -0,0 +1,12 @@ +// This is the service worker script, which executes in its own context +// when the extension is installed or refreshed (or when you access its console). +// It would correspond to the background script in chrome extensions v2. + +console.log("This prints to the console of the service worker (background script)"); +chrome.runtime.onMessage.addListener( + function(request, sender, sendResponse) { + if (request.msg === "sendMessage") { + sendResponse({response: "Message received"}); + } + } +); \ No newline at end of file diff --git a/extensions/chrome/styles.css b/extensions/chrome/styles.css new file mode 100644 index 00000000..93c7ce9e --- /dev/null +++ b/extensions/chrome/styles.css @@ -0,0 +1,45 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + + +#chat-container { + width: 500px; + height: 450px; + background-color: white; + padding: 10px; + overflow: auto; +} + + + +.bg-gray-200 { + background-color: #edf2f7; + } + + .bg-gray-900 { + background-color: #1a202c; + } + + .rounded-lg { + border-radius: 0.5rem; + } + + .shadow { + box-shadow: 0 1px 3px rgba(0, 0, 0, 0.12), 0 1px 2px rgba(0, 0, 0, 0.24); + } + + .text-gray-700 { + color: #4a5568; + } + + .text-sm { + font-size: 0.875rem; + } + + .p-4 { + padding: 1.5rem; + } + + + diff --git a/extensions/chrome/tailwind.config.js b/extensions/chrome/tailwind.config.js new file mode 100644 index 00000000..78f15cad --- /dev/null +++ b/extensions/chrome/tailwind.config.js @@ -0,0 +1,7 @@ +module.exports = { + content: ["./src/**/*.{html,js}", "./*.{html,js,css}"], + theme: { + extend: {}, + }, + plugins: [], + } \ No newline at end of file diff --git a/extensions/discord/__init__.py b/extensions/discord/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/extensions/discord/bot.py b/extensions/discord/bot.py new file mode 100644 index 00000000..94daf7e2 --- /dev/null +++ b/extensions/discord/bot.py @@ -0,0 +1,158 @@ +import os +import re +import logging +import aiohttp +import discord +from discord.ext import commands +import dotenv + +dotenv.load_dotenv() + +# Enable logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Bot configuration +TOKEN = os.getenv("DISCORD_TOKEN") +PREFIX = '!' # Command prefix +BASE_API_URL = os.getenv("API_BASE", "https://gptcloud.arc53.com") +API_URL = BASE_API_URL + "/api/answer" +API_KEY = os.getenv("API_KEY") + +intents = discord.Intents.default() +intents.message_content = True + +bot = commands.Bot(command_prefix=PREFIX, intents=intents) + +# Store conversation history per user +conversation_histories = {} + +def chunk_string(text, max_length=2000): + """Splits a string into chunks of a specified maximum length.""" + # Create list to store the split strings + chunks = [] + # Loop through the text, create substrings with max_length + while len(text) > max_length: + # Find last space within the limit + idx = text.rfind(' ', 0, max_length) + # Ensure we don't have an empty part + if idx == -1: + # If no spaces, just take chunk + chunks.append(text[:max_length]) + text = text[max_length:] + else: + # Push whatever we've got up to the last space + chunks.append(text[:idx]) + text = text[idx+1:] + # Catches the remaining part + chunks.append(text) + return chunks + +def escape_markdown(text): + """Escapes Discord markdown characters.""" + escape_chars = r'\*_$$$$()~>#+-=|{}.!' + return re.sub(f'([{re.escape(escape_chars)}])', r'\\\1', text) + +def split_string(input_str): + """Splits the input string to detect bot mentions.""" + pattern = r'^<@!?{0}>\s*'.format(bot.user.id) + match = re.match(pattern, input_str) + if match: + content = input_str[match.end():].strip() + return str(bot.user.id), content + return None, input_str + +@bot.event +async def on_ready(): + print(f'{bot.user.name} has connected to Discord!') + +async def generate_answer(question, messages, conversation_id): + """Generates an answer using the external API.""" + payload = { + "question": question, + "api_key": API_KEY, + "history": messages, + "conversation_id": conversation_id + } + headers = { + "Content-Type": "application/json; charset=utf-8" + } + timeout = aiohttp.ClientTimeout(total=60) + async with aiohttp.ClientSession(timeout=timeout) as session: + async with session.post(API_URL, json=payload, headers=headers) as resp: + if resp.status == 200: + data = await resp.json() + conversation_id = data.get("conversation_id") + answer = data.get("answer", "Sorry, I couldn't find an answer.") + return {"answer": answer, "conversation_id": conversation_id} + else: + return {"answer": "Sorry, I couldn't find an answer.", "conversation_id": None} + +@bot.command(name="start") +async def start(ctx): + """Handles the /start command.""" + await ctx.send(f"Hi {ctx.author.mention}! How can I assist you today?") + +@bot.command(name="custom_help") +async def custom_help_command(ctx): + """Handles the /custom_help command.""" + help_text = ( + "Here are the available commands:\n" + "`!start` - Begin a new conversation with the bot\n" + "`!help` - Display this help message\n\n" + "You can also mention me or send a direct message to ask a question!" + ) + await ctx.send(help_text) + +@bot.event +async def on_message(message): + if message.author == bot.user: + return + + # Process commands first + await bot.process_commands(message) + + # Check if the message is in a DM channel + if isinstance(message.channel, discord.DMChannel): + content = message.content.strip() + else: + # In guild channels, check if the message mentions the bot at the start + content = message.content.strip() + prefix, content = split_string(content) + if prefix is None: + return + part_prefix = str(bot.user.id) + if part_prefix != prefix: + return # Bot not mentioned at the start, so do not process + + # Now process the message + user_id = message.author.id + if user_id not in conversation_histories: + conversation_histories[user_id] = { + "history": [], + "conversation_id": None + } + + conversation = conversation_histories[user_id] + conversation["history"].append({"prompt": content}) + + # Generate the answer + response_doc = await generate_answer( + content, + conversation["history"], + conversation["conversation_id"] + ) + answer = response_doc["answer"] + conversation_id = response_doc["conversation_id"] + + answer_chunks = chunk_string(answer) + for chunk in answer_chunks: + await message.channel.send(chunk) + + conversation["history"][-1]["response"] = answer + conversation["conversation_id"] = conversation_id + + # Keep conversation history to last 10 exchanges + conversation["history"] = conversation["history"][-10:] + +bot.run(TOKEN) \ No newline at end of file diff --git a/extensions/react-widget/.gitignore b/extensions/react-widget/.gitignore new file mode 100644 index 00000000..62d067b0 --- /dev/null +++ b/extensions/react-widget/.gitignore @@ -0,0 +1,3 @@ +node_modules +dist +.parcel-cache \ No newline at end of file diff --git a/extensions/react-widget/.parcelrc b/extensions/react-widget/.parcelrc new file mode 100644 index 00000000..969c14b3 --- /dev/null +++ b/extensions/react-widget/.parcelrc @@ -0,0 +1,10 @@ +{ + "extends": "@parcel/config-default", + "resolvers": ["@parcel/resolver-glob","..."], + "transformers": { + "*.svg": ["...", "@parcel/transformer-svg-react", "@parcel/transformer-typescript-tsc"] +}, + "validators": { + "*.{ts,tsx}": ["@parcel/validator-typescript"] + } +} \ No newline at end of file diff --git a/extensions/react-widget/README.md b/extensions/react-widget/README.md new file mode 100644 index 00000000..5b6222d2 --- /dev/null +++ b/extensions/react-widget/README.md @@ -0,0 +1,177 @@ +# DocsGPT react widget + +This widget will allow you to embed a DocsGPT assistant in your React app. + +## Installation + +```bash +npm install docsgpt +``` + +## Usage + +### React + +```javascript + import { DocsGPTWidget } from "docsgpt-react"; + + const App = () => { + return ; + }; +``` + +To link the widget to your api and your documents you can pass parameters to the component. + +```javascript + import { DocsGPTWidget } from "docsgpt-react"; + + const App = () => { + return ; + }; +``` + +### Html + +```html + + + + + + + DocsGPT Widget + + +
+ + + + + +``` + +To link the widget to your api and your documents you can pass parameters to the **renderDocsGPTWidget('div id', { parameters })**. + +```html + + + + + + + DocsGPT Widget + + +
+ + + + + +``` + +# SearchBar + +The `SearchBar` component is an interactive search bar designed to provide search results based on **vector similarity search**. It also includes the capability to open the AI Chatbot, enabling users to query. + +--- + +### Importing the Component +```tsx +import { SearchBar } from "docsgpt-react"; +``` + +--- + +### Usage Example +```tsx + +``` + +--- + +## HTML embedding for Search bar + +```html + + + + + + SearchBar Embedding + + + + +
+ + + + + +``` + +### Props + +| **Prop** | **Type** | **Default Value** | **Description** | +|-----------------|-----------|-------------------------------------|--------------------------------------------------------------------------------------------------| +| **`apiKey`** | `string` | `"74039c6d-bff7-44ce-ae55-2973cbf13837"` | Your API key generated from the app. Used for authenticating requests. | +| **`apiHost`** | `string` | `"https://gptcloud.arc53.com"` | The base URL of the server hosting the vector similarity search and chatbot services. | +| **`theme`** | `"dark" \| "light"` | `"dark"` | The theme of the search bar. Accepts `"dark"` or `"light"`. | +| **`placeholder`** | `string` | `"Search or Ask AI..."` | Placeholder text displayed in the search input field. | +| **`width`** | `string` | `"256px"` | Width of the search bar. Accepts any valid CSS width value (e.g., `"300px"`, `"100%"`, `"20rem"`). | + + +Feel free to reach out if you need help customizing or extending the `SearchBar`! + +## Our github + +[DocsGPT](https://github.com/arc53/DocsGPT) + +You can find the source code in the extensions/react-widget folder. diff --git a/extensions/react-widget/custom.d.ts b/extensions/react-widget/custom.d.ts new file mode 100644 index 00000000..4914b1ec --- /dev/null +++ b/extensions/react-widget/custom.d.ts @@ -0,0 +1,9 @@ +declare module "*.svg" { + import * as React from "react"; + + const ReactComponent: React.FunctionComponent< + React.SVGProps & { title?: string } + >; + + export default ReactComponent; + } \ No newline at end of file diff --git a/extensions/react-widget/package-lock.json b/extensions/react-widget/package-lock.json new file mode 100644 index 00000000..a2a1f1c8 --- /dev/null +++ b/extensions/react-widget/package-lock.json @@ -0,0 +1,9988 @@ +{ + "name": "docsgpt", + "version": "0.5.1", + 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"types": "dist/types.d.ts", + "files": [ + "dist", + "package.json" + ], + "targets": { + "modern": { + "engines": { + "browsers": "Chrome 80" + } + }, + "legacy": { + "engines": { + "browsers": "> 0.5%, last 2 versions, not dead" + } + } + }, + "@parcel/resolver-default": { + "packageExports": true + }, + "resolution": { + "styled-components": "^5" + }, + "scripts": { + "build": "parcel build src/browser.tsx --public-url ./", + "build:react": "parcel build src/index.ts", + "serve": "parcel serve -p 3000", + "dev": "parcel -p 3000", + "test": "jest", + "lint": "eslint", + "check": "tsc --noEmit", + "ci": "yarn build && yarn test && yarn lint && yarn check" + }, + "dependencies": { + "@babel/plugin-transform-flow-strip-types": "^7.23.3", + "@bpmn-io/snarkdown": "^2.2.0", + "@parcel/resolver-glob": "^2.12.0", + "@parcel/transformer-svg-react": "^2.12.0", + "@parcel/transformer-typescript-tsc": "^2.12.0", + "@parcel/validator-typescript": "^2.12.0", + "@radix-ui/react-icons": "^1.3.0", + "class-variance-authority": "^0.7.0", + "clsx": "^2.1.0", + "dompurify": "^3.1.5", + "flow-bin": "^0.229.2", + "i": "^0.3.7", + "install": "^0.13.0", + "markdown-it": "^14.1.0", + "npm": "^10.5.0", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "styled-components": "^6.1.8" + }, + "devDependencies": { + "@babel/core": "^7.24.0", + "@babel/preset-env": "^7.24.0", + "@babel/preset-react": "^7.23.3", + "@parcel/packager-ts": "^2.12.0", + "@parcel/transformer-typescript-types": "^2.12.0", + "@types/dompurify": "^3.0.5", + "@types/markdown-it": "^14.1.2", + "@types/react": "^18.3.3", + "@types/react-dom": "^18.3.0", + "babel-loader": "^8.0.4", + "parcel": "^2.12.0", + "process": "^0.11.10", + "typescript": "^5.3.3" + }, + "publishConfig": { + "access": "public" + }, + "repository": { + "type": "git", + "url": "git+https://github.com/arc53/DocsGPT.git" + }, + "keywords": [ + "docsgpt", + "chatbot", + "assistant", + "ai", + "chatdocs", + "widget" + ], + "author": "Arc53", + "license": "Apache-2.0", + "bugs": { + "url": "https://github.com/arc53/DocsGPT/issues" + }, + "homepage": "https://github.com/arc53/DocsGPT#readme" +} diff --git a/extensions/react-widget/publish.sh b/extensions/react-widget/publish.sh new file mode 100755 index 00000000..cb5174e3 --- /dev/null +++ b/extensions/react-widget/publish.sh @@ -0,0 +1,90 @@ +#!/bin/bash +set -e + +# Create backup of original files +cp package.json package_original.json +cp package-lock.json package-lock_original.json + +# Store the latest version after publishing +LATEST_VERSION="" + +# Check if a specific version was provided +if [ "$1" ]; then + VERSION_UPDATE_TYPE="$1" + echo "Using custom version update: $VERSION_UPDATE_TYPE" +else + VERSION_UPDATE_TYPE="patch" + echo "No version specified, defaulting to patch update" +fi + +publish_package() { + PACKAGE_NAME=$1 + BUILD_COMMAND=$2 + IS_REACT=$3 + + echo "Preparing to publish ${PACKAGE_NAME}..." + + # Restore original package.json state before each publish + cp package_original.json package.json + cp package-lock_original.json package-lock.json + + # Update package name in package.json + jq --arg name "$PACKAGE_NAME" '.name=$name' package.json > temp.json && mv temp.json package.json + + # Handle targets based on package type + if [ "$IS_REACT" = "true" ]; then + echo "Removing targets for React library build..." + jq 'del(.targets)' package.json > temp.json && mv temp.json package.json + fi + + # Clean dist directory + if [ -d "dist" ]; then + echo "Cleaning dist directory..." + rm -rf dist + fi + + # Update version based on input parameter or default to patch + if [[ "$VERSION_UPDATE_TYPE" =~ ^[0-9]+\.[0-9]+\.[0-9]+$ ]]; then + # If full version number is provided (e.g., 0.5.0) + LATEST_VERSION=$(npm version "$VERSION_UPDATE_TYPE" --no-git-tag-version) + else + # If update type is provided (patch, minor, major) + LATEST_VERSION=$(npm version "$VERSION_UPDATE_TYPE" --no-git-tag-version) + fi + + echo "New version: ${LATEST_VERSION}" + + # Build package + npm run "$BUILD_COMMAND" + + # Publish package + npm publish + + echo "Successfully published ${PACKAGE_NAME} version ${LATEST_VERSION}" +} + +# First publish docsgpt (HTML bundle) +publish_package "docsgpt" "build" "false" + +# Then publish docsgpt-react (React library) +publish_package "docsgpt-react" "build:react" "true" + +# Restore original state but keep the updated version +cp package_original.json package.json +cp package-lock_original.json package-lock.json + +# Update the version in the final package.json +jq --arg version "${LATEST_VERSION#v}" '.version=$version' package.json > temp.json && mv temp.json package.json + +# Run npm install to update package-lock-only +npm install --package-lock-only + +# Cleanup backup files +rm -f package_original.json +rm -f package-lock_original.json +rm -f temp.json + +echo "---Process completed---" +echo "Final version in package.json: $(jq -r '.version' package.json)" +echo "Final version in package-lock.json: $(jq -r '.version' package-lock.json)" + diff --git a/extensions/react-widget/src/App.tsx b/extensions/react-widget/src/App.tsx new file mode 100644 index 00000000..4bb24bae --- /dev/null +++ b/extensions/react-widget/src/App.tsx @@ -0,0 +1,11 @@ +import React from "react" +import {DocsGPTWidget} from "./components/DocsGPTWidget" +import {SearchBar} from "./components/SearchBar" +export const App = () => { + return ( +
+ + +
+ ) +} \ No newline at end of file diff --git a/extensions/react-widget/src/assets/dislike.svg b/extensions/react-widget/src/assets/dislike.svg new file mode 100644 index 00000000..ec1d24c2 --- /dev/null +++ b/extensions/react-widget/src/assets/dislike.svg @@ -0,0 +1,4 @@ + + + + diff --git a/extensions/react-widget/src/assets/like.svg b/extensions/react-widget/src/assets/like.svg new file mode 100644 index 00000000..c49604ed --- /dev/null +++ b/extensions/react-widget/src/assets/like.svg @@ -0,0 +1,4 @@ + + + + diff --git a/extensions/react-widget/src/browser.tsx b/extensions/react-widget/src/browser.tsx new file mode 100644 index 00000000..8bee7748 --- /dev/null +++ b/extensions/react-widget/src/browser.tsx @@ -0,0 +1,22 @@ +//exports browser ready methods + +import { createRoot } from "react-dom/client"; + +import { DocsGPTWidget } from './components/DocsGPTWidget'; +import { SearchBar } from './components/SearchBar'; +import React from "react"; +if (typeof window !== 'undefined') { + const renderWidget = (elementId: string, props = {}) => { + const root = createRoot(document.getElementById(elementId) as HTMLElement); + root.render(); + }; + const renderSearchBar = (elementId: string, props = {}) => { + const root = createRoot(document.getElementById(elementId) as HTMLElement); + root.render(); + }; + (window as any).renderDocsGPTWidget = renderWidget; + + (window as any).renderSearchBar = renderSearchBar; +} + +export { DocsGPTWidget, SearchBar }; diff --git a/extensions/react-widget/src/components/DocsGPTWidget.tsx b/extensions/react-widget/src/components/DocsGPTWidget.tsx new file mode 100644 index 00000000..5ce9140a --- /dev/null +++ b/extensions/react-widget/src/components/DocsGPTWidget.tsx @@ -0,0 +1,934 @@ +"use client"; +import React, { useRef, useState, useEffect } from 'react' +import DOMPurify from 'dompurify'; +import styled, { keyframes, css } from 'styled-components'; +import { PaperPlaneIcon, RocketIcon, ExclamationTriangleIcon, Cross2Icon } from '@radix-ui/react-icons'; +import { FEEDBACK, MESSAGE_TYPE, Query, Status, WidgetCoreProps, WidgetProps } from '../types/index'; +import { fetchAnswerStreaming, sendFeedback } from '../requests/streamingApi'; +import { ThemeProvider } from 'styled-components'; +import Like from '../assets/like.svg'; +import Dislike from '../assets/dislike.svg'; +import MarkdownIt from 'markdown-it'; + +const themes = { + dark: { + bg: '#222327', + text: '#fff', + primary: { + text: "#FAFAFA", + bg: '#222327' + }, + secondary: { + text: "#A1A1AA", + bg: "#38383b" + } + }, + light: { + bg: '#fff', + text: '#000', + primary: { + text: "#222327", + bg: "#fff" + }, + secondary: { + text: "#A1A1AA", + bg: "#F6F6F6" + } + } +}; + +const sizesConfig = { + small: { size: 'small', width: '320px', height: '400px' }, + medium: { size: 'medium', width: '400px', height: '80vh' }, + large: { size: 'large', width: '666px', height: '75vh' }, + getCustom: (custom: { width: string; height: string; maxWidth?: string; maxHeight?: string }) => ({ + size: 'custom', + width: custom.width, + height: custom.height, + maxWidth: custom.maxWidth || '968px', + maxHeight: custom.maxHeight || '70vh', + }), +}; +const createBox = keyframes` + 0% { + transform: scale(0.6); + } + 90% { + transform: scale(1.02); + } + 100% { + transform: scale(1); + } +` +const closeBox = keyframes` + 0% { + transform: scale(1); + } + 10% { + transform: scale(1.02); + } + 100% { + transform: scale(0.6); + } +` + +const openContainer = keyframes` + 0% { + width: 200px; + height: 100px; + } + 100% { + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + border-radius: 12px; + }` +const closeContainer = keyframes` + 0% { + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + border-radius: 12px; + } + 100% { + width: 200px; + height: 100px; + } +` +const fadeIn = keyframes` + from { + opacity: 0; + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + transform: scale(0.9); + } + to { + opacity: 1; + transform: scale(1); + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + } +` + +const fadeOut = keyframes` + from { + opacity: 1; + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + } + to { + opacity: 0; + transform: scale(0.9); + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + } +` +const scaleAnimation = keyframes` + from { + transform: scale(1.2); + } + to { + transform: scale(1); + } +` +const Overlay = styled.div` + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + background-color: rgba(0, 0, 0, 0.5); + z-index: 999; + transition: opacity 0.5s; +` + + +const WidgetContainer = styled.div<{ modal?: boolean, isOpen?: boolean }>` + all: initial; + position: fixed; + right: ${props => props.modal ? '50%' : '10px'}; + bottom: ${props => props.modal ? '50%' : '10px'}; + z-index: 1001; + transform-origin:100% 100%; + display: block; + &.modal{ + transform : translate(50%,50%); + } + &.open { + animation: css ${createBox} 250ms cubic-bezier(0.25, 0.1, 0.25, 1) forwards; + } + &.close { + animation: css ${closeBox} 250ms cubic-bezier(0.25, 0.1, 0.25, 1) forwards; + } + align-items: center; + text-align: left; +`; + +const StyledContainer = styled.div<{ isOpen: boolean }>` + all: initial; + max-height: ${(props) => props.theme.dimensions.maxHeight}; + max-width: ${(props) => props.theme.dimensions.maxWidth}; + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height} ; + position: relative; + flex-direction: column; + justify-content: space-between; + bottom: 0; + left: 0; + background-color: ${(props) => props.theme.primary.bg}; + font-family: sans-serif; + display: flex; + border-radius: 12px; + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05), 0 2px 4px rgba(0, 0, 0, 0.1); + padding: 26px 26px 0px 26px; + animation: ${({ isOpen, theme }) => + theme.dimensions.size === 'large' + ? isOpen + ? css`${fadeIn} 150ms ease-in forwards` + : css` ${fadeOut} 150ms ease-in forwards` + : isOpen + ? css`${openContainer} 150ms ease-in forwards` + : css`${closeContainer} 250ms ease-in forwards`}; + @media only screen and (max-width: 768px) { + max-height: 100vh; + max-width: 80vw; + overflow: auto; + } +`; + +const FloatingButton = styled.div<{ bgcolor: string, hidden: boolean, isAnimatingButton: boolean }>` + position: fixed; + display: ${props => props.hidden ? "none" : "flex"}; + z-index: 500; + justify-content: center; + gap: 8px; + padding: 14px; + align-items: center; + bottom: 16px; + color: white; + font-family: sans-serif; + right: 16px; + font-weight: 500; + border-radius: 9999px; + background: ${props => props.bgcolor}; + box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); + cursor: pointer; + animation: ${props => props.isAnimatingButton ? css`${scaleAnimation} 200ms forwards` : 'none'}; + &:hover { + transform: scale(1.1); + transition: transform 0.2s ease-in-out; + } + &:not(:hover) { + transition: transform 0.2s ease-in-out; + } +`; +const CancelButton = styled.button` + cursor: pointer; + position: absolute; + top: 0; + right: 0; + margin: 8px; + width: 30px; + padding: 0; + background-color: transparent; + border: none; + outline: none; + color: inherit; + transition: opacity 0.3s ease; + opacity: 0.6; + &:hover { + opacity: 1; + } + .white-filter { + filter: invert(100%); + } +`; + +const Header = styled.div` + display: flex; + align-items: flex-start; +`; + +const ContentWrapper = styled.div` + display: flex; + flex-direction: column; + gap:2px; + margin-left: 8px; +`; + +const Title = styled.h3` + font-size: 14px; + font-weight: normal; + color: ${props => props.theme.primary.text}; + margin: 0; +`; + +const Description = styled.p` + font-size: 13.75px; + color: ${props => props.theme.secondary.text}; + margin: 0 ; + padding: 0 ; +`; + +const Conversation = styled.div` + height: 70%; + border-radius: 6px; + text-align: left; + overflow-y: auto; + scrollbar-width: thin; + scrollbar-color: ${props => props.theme.secondary.bg} transparent; /* thumb color track color */ +`; +const Feedback = styled.div` + background-color: transparent; + font-weight: normal; + gap: 12px; + display: flex; + padding: 6px; + clear: both; +`; +const MessageBubble = styled.div<{ type: MESSAGE_TYPE }>` + display: block; + font-size: 16px; + position: relative; + width: 100%;; + float: right; + margin: 0px; + &:hover ${Feedback} * { + visibility: visible ; + } +`; +const Message = styled.div<{ type: MESSAGE_TYPE }>` + background: ${props => props.type === 'QUESTION' ? + 'linear-gradient(to bottom right, #8860DB, #6D42C5)' : + props.theme.secondary.bg}; + color: ${props => props.type === 'ANSWER' ? props.theme.primary.text : '#fff'}; + border: none; + float: ${props => props.type === 'QUESTION' ? 'right' : 'left'}; + max-width: ${props => props.type === 'ANSWER' ? '100%' : '80'}; + overflow: auto; + margin: 4px; + display: block; + line-height: 1.5; + padding: 12px; + border-radius: 6px; +`; +const Markdown = styled.div` + pre { + padding: 8px; + width: 90%; + font-size: 12px; + border-radius: 6px; + overflow-x: auto; + background-color: #1B1C1F; + color: #fff ; + } + + h1 { + font-size: 16px; + } + + h2 { + font-size: 14px; + } + + h3 { + font-size: 14px; + } + + p { + margin: 0px; + } + + code:not(pre code) { + border-radius: 6px; + padding: 1px 3px; + font-size: 12px; + display: inline-block; + background-color: #646464; + color: #fff ; + } + + code { + white-space: pre-wrap ; + overflow-wrap: break-word; + word-break: break-all; + } + + ul{ + padding:0px; + list-style-position: inside; + } +` +const ErrorAlert = styled.div` + color: #b91c1c; + border:0.1px solid #b91c1c; + display: flex; + padding:4px; + margin:11.2px; + opacity: 90%; + max-width: 70%; + font-weight: 400; + border-radius: 6px; + justify-content: space-evenly; +` +//dot loading animation +const dotBounce = keyframes` + 0%, 80%, 100% { + transform: translateY(0); + } + 40% { + transform: translateY(-5px); + } +`; + +const DotAnimation = styled.div` + display: inline-block; + animation: ${dotBounce} 1s infinite ease-in-out; +`; +// delay classes as styled components +const Delay = styled(DotAnimation) <{ delay: number }>` + animation-delay: ${props => props.delay + 'ms'}; +`; +const PromptContainer = styled.form` + background-color: transparent; + height: ${props => props.theme.dimensions.size == 'large' ? '60px' : '40px'}; + display: flex; + justify-content: space-evenly; +`; +const StyledInput = styled.input` + width: 100%; + border: 1px solid #686877; + padding-left: 12px; + background-color: transparent; + font-size: 16px; + border-radius: 6px; + color: ${props => props.theme.text}; + outline: none; +`; +const StyledButton = styled.button` + display: flex; + justify-content: center; + align-items: center; + background-image: linear-gradient(to bottom right, #5AF0EC, #E80D9D); + background-color: rgba(0, 0, 0, 0.3); + border-radius: 6px; + min-width: ${props => props.theme.dimensions.size === 'large' ? '60px' : '40px'}; + height: ${props => props.theme.dimensions.size === 'large' ? '60px' : '40px'}; + margin-left:8px; + padding: 0px; + + border: none; + cursor: pointer; + outline: none; + &:hover{ + opacity: 90%; + } + &:disabled { + background-image: linear-gradient(to bottom right, #2d938f, #b31877); + }`; +const HeroContainer = styled.div` + position: relative; + width: 90%; + max-width: 500px; + background-image: linear-gradient(to bottom right, #5AF0EC, #ff1bf4); + border-radius: 10px; + margin: 16px auto; + padding: 2px; +`; +const HeroWrapper = styled.div` + display: flex; + flex-direction: column; + justify-content: flex-start; + gap: 8px; + align-items: middle; + background-color: ${props => props.theme.primary.bg}; + border-radius: 10px; + font-weight: normal; + padding: 12px; +` +const HeroTitle = styled.h3` + color: ${props => props.theme.text}; + font-size: 16px; + margin:0px ; + padding: 0px; +`; +const HeroDescription = styled.p` + color: ${props => props.theme.text}; + font-size: 12px; + line-height: 1.5; + margin: 0px; + padding: 0px; +`; +const Hyperlink = styled.a` + color: #9971EC; + text-decoration: none; +`; +const Tagline = styled.div` + text-align: center; + display: block; + color: ${props => props.theme.secondary.text}; + padding: 12px ; + font-size: 12px; +`; + + +const SourcesList = styled.div` + display: flex; + margin:12px 0px; + flex-wrap: wrap; + gap: 8px; +`; + +const SourceLink = styled.a` + color: ${props => props.theme.primary.text}; + text-decoration: none; + background: ${props => props.theme.secondary.bg}; + padding: 4px 12px; + border-radius: 85px; + font-size: 14px; + transition: opacity 0.2s ease; + display: inline-block; + text-align: center; + max-width: 25%; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; + line-height: 1.5; + + &:hover { + opacity: 0.8; + } +`; + +const ExtraButton = styled.button` + color: #9971EC; + background: transparent; + border-radius: 85px; + padding: 4px 12px; + font-size: 14px; + border: none; + cursor: pointer; + transition: opacity 0.2s ease; + text-align: center; + height:auto; + &:hover { + opacity: 0.8; + } +`; +const SourcesComponent = ({ sources }: { sources: Array<{ source: string; title: string }> }) => { + const [showAll, setShowAll] = React.useState(false); + const visibleSources = showAll ? sources : sources.slice(0, 3); + const extraCount = sources.length - 3; + + return ( + + {visibleSources.map((source, idx) => ( + + {source.title} + + ))} + {sources.length > 3 && ( + setShowAll(!showAll)}> + {showAll ? "Show less" : `+ ${extraCount} more`} + + )} + + ); +}; + +const Hero = ({ title, description, theme }: { title: string, description: string, theme: string }) => { + return ( + + + + {title} + {description} + + + ); +}; +export const DocsGPTWidget = (props: WidgetProps) => { + + const { + buttonIcon = 'https://d3dg1063dc54p9.cloudfront.net/widget/chat.svg', + buttonText = 'Ask a question', + buttonBg = 'linear-gradient(to bottom right, #5AF0EC, #E80D9D)', + defaultOpen = false, + ...coreProps + } = props + + const [open, setOpen] = React.useState(defaultOpen); + const [isAnimatingButton, setIsAnimatingButton] = React.useState(false); + const [isFloatingButtonVisible, setIsFloatingButtonVisible] = React.useState(true); + + React.useEffect(() => { + if (isFloatingButtonVisible) + setTimeout(() => setIsAnimatingButton(true), 250); + return () => { + setIsAnimatingButton(false) + } + }, [isFloatingButtonVisible]) + + const handleClose = () => { + setIsFloatingButtonVisible(true); + setOpen(false); + }; + const handleOpen = () => { + setOpen(true); + setIsFloatingButtonVisible(false); + } + return ( + <> + + + + ) +} + +export const WidgetCore = ({ + apiHost = 'https://gptcloud.arc53.com', + apiKey = "82962c9a-aa77-4152-94e5-a4f84fd44c6a", + avatar = 'https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png', + title = 'Get AI assistance', + description = 'DocsGPT\'s AI Chatbot is here to help', + heroTitle = 'Welcome to DocsGPT !', + heroDescription = 'This chatbot is built with DocsGPT and utilises GenAI, please review important information using sources.', + size = 'small', + theme = 'dark', + collectFeedback = true, + isOpen = false, + showSources = true, + handleClose, + prefilledQuery = '' +}: WidgetCoreProps) => { + const [prompt, setPrompt] = React.useState(""); + const [mounted, setMounted] = React.useState(false); + const [status, setStatus] = React.useState('idle'); + const [queries, setQueries] = React.useState([]); + const [conversationId, setConversationId] = React.useState(null); + const [eventInterrupt, setEventInterrupt] = React.useState(false); //click or scroll by user while autoScrolling + const [hasScrolledToLast, setHasScrolledToLast] = useState(true); + + const isBubbleHovered = useRef(false); + const conversationRef = useRef(null); + const endMessageRef = React.useRef(null); + const md = new MarkdownIt(); + + React.useEffect(() => { + if (isOpen) { + setMounted(true); // Mount the component + appendQuery(prefilledQuery) + } else { + // Wait for animations before unmounting + const timeout = setTimeout(() => { + setMounted(false) + }, 250); + return () => clearTimeout(timeout); + } + }, [isOpen]); + + const handleUserInterrupt = () => { + if (!eventInterrupt && status === 'loading') setEventInterrupt(true); + } + + const scrollIntoView = () => { + if (!conversationRef?.current || eventInterrupt) return; + + if (status === 'idle' || !queries.length || !queries[queries.length - 1].response) { + conversationRef.current.scrollTo({ + behavior: 'smooth', + top: conversationRef.current.scrollHeight, + }); + } else { + conversationRef.current.scrollTop = conversationRef.current.scrollHeight; + } + setHasScrolledToLast(true); + }; + + const checkScroll = () => { + const el = conversationRef.current; + if (!el) return; + const isBottom = el.scrollHeight - el.scrollTop - el.clientHeight < 10; + setHasScrolledToLast(isBottom); + }; + + React.useEffect(() => { + !eventInterrupt && scrollIntoView(); + + conversationRef.current?.addEventListener('scroll', checkScroll); + return () => { + conversationRef.current?.removeEventListener('scroll', checkScroll); + }; + }, [queries.length, queries[queries.length - 1]?.response]); + + async function handleFeedback(feedback: FEEDBACK, index: number) { + let query = queries[index]; + if (!query.response || !conversationId) { + console.log("Cannot submit feedback: missing response or conversation ID"); + return; + } + + // If clicking the same feedback button that's already active, remove the feedback by sending null + if (query.feedback === feedback) { + try { + const response = await sendFeedback({ + question: query.prompt, + answer: query.response, + feedback: null, + apikey: apiKey, + conversation_id: conversationId, + question_index: index, + }, apiHost); + + if (response.status === 200) { + const updatedQuery = { ...query }; + delete updatedQuery.feedback; + setQueries((prev: Query[]) => + prev.map((q, i) => (i === index ? updatedQuery : q)) + ); + } + } catch (err) { + console.error("Failed to submit feedback:", err); + } + return; + } + + try { + const response = await sendFeedback({ + question: query.prompt, + answer: query.response, + feedback: feedback, + apikey: apiKey, + conversation_id: conversationId, + question_index: index, + }, apiHost); + + if (response.status === 200) { + setQueries((prev: Query[]) => { + return prev.map((q, i) => { + if (i === index) { + return { ...q, feedback: feedback }; + } + return q; + }); + }); + } + } catch (err) { + console.error("Failed to submit feedback:", err); + } + } + + async function stream(question: string) { + setStatus('loading') + try { + await fetchAnswerStreaming( + { + question: question, + apiKey: apiKey, + apiHost: apiHost, + history: queries, + conversationId: conversationId, + onEvent: (event: MessageEvent) => { + const data = JSON.parse(event.data); + // check if the 'end' event has been received + if (data.type === 'end') { + setStatus('idle'); + } + else if (data.type === 'id') { + setConversationId(data.id) + } + else if (data.type === 'error') { + const updatedQueries = [...queries]; + updatedQueries[updatedQueries.length - 1].error = data.error; + setQueries(updatedQueries); + setStatus('idle') + } + else if (data.type === 'source' && showSources) { + const updatedQueries = [...queries]; + updatedQueries[updatedQueries.length - 1].sources = data.source; + setQueries(updatedQueries); + } + else { + const result = data.answer ? data.answer : ''; //Fallback to an empty string if data.answer is undefined + const streamingResponse = queries[queries.length - 1].response ? queries[queries.length - 1].response : ''; + const updatedQueries = [...queries]; + updatedQueries[updatedQueries.length - 1].response = streamingResponse + result; + setQueries(updatedQueries); + } + } + } + ); + } catch (error) { + const updatedQueries = [...queries]; + updatedQueries[updatedQueries.length - 1].error = 'Something went wrong !' + setQueries(updatedQueries); + setStatus('idle') + //setEventInterrupt(false) + } + + } + // submit handler + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + await appendQuery(prompt) + } + + const appendQuery = async (userQuery: string) => { + if (!userQuery) + return; + + setEventInterrupt(false); + queries.push({ prompt: userQuery }); + setPrompt(''); + await stream(userQuery); + } + const handleImageError = (event: React.SyntheticEvent) => { + event.currentTarget.src = "https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png"; + }; + + const dimensions = + typeof size === 'object' && 'custom' in size + ? sizesConfig.getCustom(size.custom) + : sizesConfig[size]; + if (!mounted) return null; + return ( + + {isOpen && size === 'large' && + + } + {( + + +
+ + + +
+ docs-gpt + + {title} + {description} + +
+
+ + { + queries.length > 0 ? queries?.map((query, index) => { + return ( + + { + query.prompt && + + + {query.prompt} + + + } + { + query.response ? { isBubbleHovered.current = true }} type='ANSWER'> + {showSources && query.sources && query.sources.length > 0 && query.sources.some(source => source.source !== 'local') && ( + source.source !== 'local')} /> + )} + + + + + {collectFeedback && + + + + } + + :
+ { + query.error ? + + +
+
Network Error
+ {query.error} +
+ + : + + . + . + . + + + } +
+ } + ) + }) + : + } + +
+ + setPrompt(event.target.value)} + type='text' placeholder="Ask your question" /> + + + + + + Powered by  + DocsGPT + +
+ + + ) + } + + ) +} diff --git a/extensions/react-widget/src/components/SearchBar.tsx b/extensions/react-widget/src/components/SearchBar.tsx new file mode 100644 index 00000000..e84bcec3 --- /dev/null +++ b/extensions/react-widget/src/components/SearchBar.tsx @@ -0,0 +1,574 @@ +import React from 'react'; +import styled, { ThemeProvider, createGlobalStyle } from 'styled-components'; +import { WidgetCore } from './DocsGPTWidget'; +import { SearchBarProps } from '@/types'; +import { getSearchResults } from '../requests/searchAPI'; +import { Result } from '@/types'; +import { getOS, processMarkdownString } from '../utils/helper'; +import DOMPurify from 'dompurify'; +import { + CodeIcon, + TextAlignLeftIcon, + HeadingIcon, + ReaderIcon, + ListBulletIcon, + QuoteIcon +} from '@radix-ui/react-icons'; +const themes = { + dark: { + name: 'dark', + bg: '#202124', + text: '#EDEDED', + primary: { + text: "#FAFAFA", + bg: '#111111' + }, + secondary: { + text: "#A1A1AA", + bg: "#38383b" + } + }, + light: { + name: 'light', + bg: '#EAEAEA', + text: '#171717', + primary: { + text: "#222327", + bg: "#fff" + }, + secondary: { + text: "#A1A1AA", + bg: "#F6F6F6" + } + } +} + +const GlobalStyle = createGlobalStyle` + .highlight { + color: ${props => props.theme.name === 'dark' ? '#4B9EFF' : '#0066CC'}; + font-weight: 500; + } +`; + +const loadGeistFont = () => { + const link = document.createElement('link'); + link.href = 'https://fonts.googleapis.com/css2?family=Geist:wght@100..900&display=swap'; + link.rel = 'stylesheet'; + document.head.appendChild(link); +}; + +const Main = styled.div` + all: initial; + font-family: 'Geist', sans-serif; +` +const SearchButton = styled.button<{ inputWidth: string }>` + padding: 6px 6px; + font-family: inherit; + width: ${({ inputWidth }) => inputWidth}; + border-radius: 8px; + display: inline; + color: ${props => props.theme.secondary.text}; + outline: none; + border: none; + background-color: ${props => props.theme.secondary.bg}; + -webkit-appearance: none; + -moz-appearance: none; + appearance: none; + transition: background-color 128ms linear; + text-align: left; + cursor: pointer; +` + +const Container = styled.div` + position: relative; + display: inline-block; +` +const SearchOverlay = styled.div` + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + background-color: #0000001A; + backdrop-filter: blur(8px); + -webkit-backdrop-filter: blur(8px); + z-index: 99; +`; + + +const SearchResults = styled.div` + position: fixed; + display: flex; + flex-direction: column; + background-color: ${props => props.theme.name === 'dark' ? + 'rgba(0, 0, 0, 0.15)' : + 'rgba(255, 255, 255, 0.4)'}; + border: 1px solid rgba(255, 255, 255, 0.18); + border-radius: 15px; + padding: 8px 0px 8px 0px; + width: 792px; + max-width: 90vw; + height: 396px; + z-index: 100; + left: 50%; + top: 50%; + transform: translate(-50%, -50%); + color: ${props => props.theme.primary.text}; + + box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.37); + backdrop-filter: blur(82px); + -webkit-backdrop-filter: blur(82px); + border-radius: 10px; + + box-sizing: border-box; + + @media only screen and (max-width: 768px) { + height: 80vh; + width: 90vw; + } +`; + +const SearchResultsScroll = styled.div` + flex: 1; + overflow-y: auto; + overflow-x: hidden; + scrollbar-gutter: stable; + scrollbar-width: thin; + scrollbar-color: #383838 transparent; + padding: 0 16px; +`; + +const IconTitleWrapper = styled.div` + display: flex; + align-items: center; + gap: 8px; + + .element-icon{ + margin: 4px; + } +`; + +const Title = styled.h3` + font-size: 15px; + font-weight: 400; + color: ${props => props.theme.primary.text}; + margin: 0; + overflow-wrap: break-word; + white-space: normal; + overflow: hidden; + text-overflow: ellipsis; +`; +const ContentWrapper = styled.div` + display: flex; + flex-direction: column; + gap: 12px; +`; + + + +const ResultWrapper = styled.div` + display: flex; + align-items: flex-start; + width: 100%; + box-sizing: border-box; + padding: 8px 16px; + cursor: pointer; + background-color: transparent; + font-family: 'Geist', sans-serif; + border-radius: 8px; + + word-wrap: break-word; + overflow-wrap: break-word; + word-break: break-word; + white-space: normal; + overflow: hidden; + text-overflow: ellipsis; + + &:hover { + backdrop-filter: blur(8px); + -webkit-backdrop-filter: blur(8px); + } +`; + +const Content = styled.div` + display: flex; + margin-left: 8px; + flex-direction: column; + gap: 8px; + padding: 4px 0px 0px 12px; + font-size: 15px; + color: ${props => props.theme.primary.text}; + line-height: 1.6; + border-left: 2px solid ${props => props.theme.primary.text}CC; + overflow: hidden; + +`; +const ContentSegment = styled.div` + display: flex; + align-items: flex-start; + gap: 8px; + padding-right: 16px; + overflow-wrap: break-word; + white-space: normal; + overflow: hidden; + text-overflow: ellipsis; +` + +const Toolkit = styled.kbd` + position: absolute; + right: 4px; + top: 50%; + transform: translateY(-50%); + background-color: ${(props) => props.theme.primary.bg}; + color: ${(props) => props.theme.secondary.text}; + font-weight: 600; + font-size: 10px; + padding: 3px 6px; + border: 1px solid ${(props) => props.theme.secondary.text}; + border-radius: 4px; + display: flex; + align-items: center; + justify-content: center; + z-index: 1; + pointer-events: none; +` +const Loader = styled.div` + margin: 2rem auto; + border: 4px solid ${props => props.theme.name === 'dark' ? 'rgba(255, 255, 255, 0.2)' : 'rgba(0, 0, 0, 0.1)'}; + border-top: 4px solid ${props => props.theme.name === 'dark' ? '#FFFFFF' : props.theme.primary.bg}; + border-radius: 50%; + width: 12px; + height: 12px; + animation: spin 1s linear infinite; + + @keyframes spin { + 0% { + transform: rotate(0deg); + } + 100% { + transform: rotate(360deg); + } + } +`; + +const NoResults = styled.div` + margin-top: 2rem; + text-align: center; + font-size: 14px; + color: ${props => props.theme.name === 'dark' ? '#E0E0E0' : '#505050'}; + font-weight: 500; +`; +const AskAIButton = styled.button` + display: flex; + align-items: center; + justify-content: flex-start; + gap: 12px; + width: calc(100% - 32px); + margin: 0 16px 16px 16px; + box-sizing: border-box; + height: 50px; + padding: 8px 24px; + border: none; + border-radius: 8px; + color: ${props => props.theme.text}; + cursor: pointer; + font-size: 16px; + backdrop-filter: blur(16px); + -webkit-backdrop-filter: blur(16px); + background-color: ${props => props.theme.name === 'dark' ? + 'rgba(255, 255, 255, 0.05)' : + 'rgba(0, 0, 0, 0.03)'}; + + &:hover { + backdrop-filter: blur(20px); + -webkit-backdrop-filter: blur(20px); + background-color: ${props => props.theme.name === 'dark' ? + 'rgba(255, 255, 255, 0.1)' : + 'rgba(0, 0, 0, 0.06)'}; + } +`; + +const SearchHeader = styled.div` + display: flex; + align-items: center; + gap: 8px; + margin-bottom: 12px; + padding-bottom: 12px; + border-bottom: 1px solid ${props => props.theme.name === 'dark' ? '#FFFFFF24' : 'rgba(0, 0, 0, 0.14)'}; +`; + + + +const TextField = styled.input` + width: calc(100% - 32px); + margin: 0 16px; + padding: 12px 16px; + border: none; + background-color: transparent; + color: ${props => props.theme.text}; + font-size: 20px; + font-weight: 400; + outline: none; + + &:focus { + border-color: none; + } + + &::placeholder { + color: ${props => props.theme.name === 'dark' ? 'rgba(255, 255, 255, 0.6)' : 'rgba(0, 0, 0, 0.5)'} !important; + opacity: 100%; /* Force opacity to ensure placeholder is visible */ + font-weight: 500; + } +` + + + +const EscapeInstruction = styled.kbd` + display: flex; + align-items: center; + justify-content: center; + margin: 12px 16px 0; + padding: 4px 8px; + border-radius: 4px; + background-color: transparent; + border: 1px solid ${props => props.theme.name === 'dark' ? + 'rgba(237, 237, 237, 0.6)' : + 'rgba(23, 23, 23, 0.6)'}; + color: ${props => props.theme.name === 'dark' ? '#EDEDED' : '#171717'}; + font-size: 12px; + font-family: 'Geist', sans-serif; + white-space: nowrap; + cursor: pointer; + width: fit-content; + -webkit-appearance: none; + -moz-appearance: none; + appearance: none; +`; + + +export const SearchBar = ({ + apiKey = "74039c6d-bff7-44ce-ae55-2973cbf13837", + apiHost = "https://gptcloud.arc53.com", + theme = "dark", + placeholder = "Search or Ask AI...", + width = "256px", + buttonText = "Search here" +}: SearchBarProps) => { + const [input, setInput] = React.useState(""); + const [loading, setLoading] = React.useState(false); + const [isWidgetOpen, setIsWidgetOpen] = React.useState(false); + const inputRef = React.useRef(null); + const containerRef = React.useRef(null); + const [isResultVisible, setIsResultVisible] = React.useState(false); + const [results, setResults] = React.useState([]); + const debounceTimeout = React.useRef | null>(null); + const abortControllerRef = React.useRef(null); + const browserOS = getOS(); + const isTouch = 'ontouchstart' in window; + + const getKeyboardInstruction = () => { + if (isResultVisible) return "Enter"; + return browserOS === 'mac' ? '⌘ + K' : 'Ctrl + K'; + }; + + React.useEffect(() => { + loadGeistFont() + const handleClickOutside = (event: MouseEvent) => { + if (containerRef.current && !containerRef.current.contains(event.target as Node)) { + setIsResultVisible(false); + } + }; + + const handleKeyDown = (event: KeyboardEvent) => { + if ( + ((browserOS === 'win' || browserOS === 'linux') && event.ctrlKey && event.key === 'k') || + (browserOS === 'mac' && event.metaKey && event.key === 'k') + ) { + event.preventDefault(); + inputRef.current?.focus(); + setIsResultVisible(true); + } else if (event.key === 'Escape') { + setIsResultVisible(false); + } + }; + + + document.addEventListener('mousedown', handleClickOutside); + document.addEventListener('keydown', handleKeyDown); + return () => { + document.removeEventListener('mousedown', handleClickOutside); + document.removeEventListener('keydown', handleKeyDown); + }; + }, []); + + React.useEffect(() => { + if (!input) { + setResults([]); + setLoading(false); + return; + } + setLoading(true); + if (debounceTimeout.current) { + clearTimeout(debounceTimeout.current); + } + + if (abortControllerRef.current) { + abortControllerRef.current.abort(); + } + const abortController = new AbortController(); + abortControllerRef.current = abortController; + + debounceTimeout.current = setTimeout(() => { + getSearchResults(input, apiKey, apiHost, abortController.signal) + .then((data) => setResults(data)) + .catch((err) => !abortController.signal.aborted && console.log(err)) + .finally(() => setLoading(false)); + }, 500); + + return () => { + abortController.abort(); + clearTimeout(debounceTimeout.current ?? undefined); + }; +}, [input]) + + const handleKeyDown = (event: React.KeyboardEvent) => { + if (event.key === 'Enter') { + event.preventDefault(); + openWidget(); + } + }; + + const openWidget = () => { + setIsWidgetOpen(true); + setIsResultVisible(false); + }; + + const handleClose = () => { + setIsWidgetOpen(false); + setIsResultVisible(true); + }; + + return ( + +
+ + + setIsResultVisible(true)} + inputWidth={width} + > + {buttonText} + + { + isResultVisible && ( + <> + setIsResultVisible(false)} /> + + + setInput(e.target.value)} + onKeyDown={(e) => handleKeyDown(e)} + placeholder={placeholder} + autoFocus + /> + setIsResultVisible(false)}> + Esc + + + + DocsGPT + Ask the AI + + + {!loading ? ( + results.length > 0 ? ( + results.map((res, key) => { + const containsSource = res.source !== 'local'; + const processedResults = processMarkdownString(res.text, input); + if (processedResults) + return ( + { + if (!containsSource) return; + window.open(res.source, '_blank', 'noopener, noreferrer'); + }} + > +
+ + + + {res.title} + + + {processedResults.map((element, index) => ( + + + {element.tag === 'code' && } + {(element.tag === 'bulletList' || element.tag === 'numberedList') && } + {element.tag === 'text' && } + {element.tag === 'heading' && } + {element.tag === 'blockquote' && } + +
+ + ))} + + +
+ + ); + return null; + }) + ) : ( + No results found + ) + ) : ( + + )} + + + + ) + } + { + isTouch ? + + { + setIsWidgetOpen(true) + }} + title={"Tap to Ask the AI"}> + Tap + + : + + {getKeyboardInstruction()} + + } + + +
+ + ) +} diff --git a/extensions/react-widget/src/index.html b/extensions/react-widget/src/index.html new file mode 100644 index 00000000..40eaad15 --- /dev/null +++ b/extensions/react-widget/src/index.html @@ -0,0 +1,19 @@ + + + + + + + DocsGPT Widget + + +
+ + + + diff --git a/extensions/react-widget/src/index.ts b/extensions/react-widget/src/index.ts new file mode 100644 index 00000000..5f2e30e8 --- /dev/null +++ b/extensions/react-widget/src/index.ts @@ -0,0 +1,3 @@ +//exports methods for React +export {SearchBar} from "./components/SearchBar" +export { DocsGPTWidget } from "./components/DocsGPTWidget"; diff --git a/extensions/react-widget/src/main.tsx b/extensions/react-widget/src/main.tsx new file mode 100644 index 00000000..f238c51e --- /dev/null +++ b/extensions/react-widget/src/main.tsx @@ -0,0 +1,8 @@ + +//development +import { createRoot } from "react-dom/client"; +import { App } from "./App"; +import React from "react"; +const container = document.getElementById("app") as HTMLElement; +const root = createRoot(container) +root.render(); diff --git a/extensions/react-widget/src/requests/searchAPI.ts b/extensions/react-widget/src/requests/searchAPI.ts new file mode 100644 index 00000000..7411a810 --- /dev/null +++ b/extensions/react-widget/src/requests/searchAPI.ts @@ -0,0 +1,37 @@ +import { Result } from "@/types"; + +async function getSearchResults(question: string, apiKey: string, apiHost: string, signal: AbortSignal): Promise { + + const payload = { + question, + api_key: apiKey + }; + + try { + const response = await fetch(`${apiHost}/api/search`, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify(payload), + signal: signal + }); + + if (!response.ok) { + throw new Error(`Error: ${response.status}`); + } + + const data: Result[] = await response.json(); + return data; + + } catch (error) { + if (!(error instanceof DOMException && error.name == "AbortError")) { + console.error("Failed to fetch documents:", error); + } + throw error; + } +} + +export { + getSearchResults +} \ No newline at end of file diff --git a/extensions/react-widget/src/requests/streamingApi.ts b/extensions/react-widget/src/requests/streamingApi.ts new file mode 100644 index 00000000..f55f9d0c --- /dev/null +++ b/extensions/react-widget/src/requests/streamingApi.ts @@ -0,0 +1,114 @@ +import { FEEDBACK } from "@/types"; + +interface HistoryItem { + prompt: string; + response?: string; +} + +interface FetchAnswerStreamingProps { + question?: string; + apiKey?: string; + selectedDocs?: string; + history?: HistoryItem[]; + conversationId?: string | null; + apiHost?: string; + onEvent?: (event: MessageEvent) => void; +} + +export interface FeedbackPayload { + question?: string; + answer?: string; + feedback: string | null; + apikey?: string; + conversation_id: string; + question_index: number; +} + +export function fetchAnswerStreaming({ + question = '', + apiKey = '', + history = [], + conversationId = null, + apiHost = '', + onEvent = () => { console.log("Event triggered, but no handler provided."); } +}: FetchAnswerStreamingProps): Promise { + return new Promise((resolve, reject) => { + const body = { + question: question, + history: JSON.stringify(history), + conversation_id: conversationId, + model: 'default', + api_key: apiKey + }; + fetch(apiHost + '/stream', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify(body), + }) + .then((response) => { + if (!response.body) throw Error('No response body'); + + const reader = response.body.getReader(); + const decoder = new TextDecoder('utf-8'); + let counter = 0; + const processStream = ({ + done, + value, + }: ReadableStreamReadResult) => { + if (done) { + resolve(); + return; + } + + counter += 1; + + const chunk = decoder.decode(value); + + const lines = chunk.split('\n'); + + for (let line of lines) { + if (line.trim() == '') { + continue; + } + if (line.startsWith('data:')) { + line = line.substring(5); + } + + const messageEvent = new MessageEvent('message', { + data: line, + }); + + onEvent(messageEvent); // handle each message + } + + reader.read().then(processStream).catch(reject); + }; + + reader.read().then(processStream).catch(reject); + }) + .catch((error) => { + console.error('Connection failed:', error); + reject(error); + }); + }); +} + + +export const sendFeedback = (payload: FeedbackPayload, apiHost: string): Promise => { + return fetch(`${apiHost}/api/feedback`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + question: payload.question, + answer: payload.answer, + feedback: payload.feedback, + api_key: payload.apikey, + conversation_id: payload.conversation_id, + question_index: payload.question_index + }), + }); +}; diff --git a/extensions/react-widget/src/types/index.ts b/extensions/react-widget/src/types/index.ts new file mode 100644 index 00000000..5c6dada3 --- /dev/null +++ b/extensions/react-widget/src/types/index.ts @@ -0,0 +1,63 @@ +export type MESSAGE_TYPE = 'QUESTION' | 'ANSWER' | 'ERROR'; + +export type Status = 'idle' | 'loading' | 'failed'; + +export type FEEDBACK = 'LIKE' | 'DISLIKE'; + +export type THEME = 'light' | 'dark'; + +export interface Query { + prompt: string; + response?: string; + feedback?: FEEDBACK; + error?: string; + sources?: { title: string; text: string, source:string }[]; + conversationId?: string | null; + title?: string | null; +} + +export interface WidgetProps { + apiHost?: string; + apiKey?: string; + avatar?: string; + title?: string; + description?: string; + heroTitle?: string; + heroDescription?: string; + size?: 'small' | 'medium' | 'large' | { + custom: { + width: string; + height: string; + maxWidth?: string; + maxHeight?: string; + }; + }; + theme?:THEME, + buttonIcon?:string; + buttonText?:string; + buttonBg?:string; + collectFeedback?:boolean; + showSources?: boolean; + defaultOpen?: boolean; +} +export interface WidgetCoreProps extends WidgetProps { + widgetRef?:React.RefObject | null; + handleClose?:React.MouseEventHandler | undefined; + isOpen:boolean; + prefilledQuery?: string; +} + +export interface SearchBarProps { + apiHost?: string; + apiKey?: string; + theme?: THEME; + placeholder?: string; + width?: string; + buttonText?: string; +} + +export interface Result { + text:string; + title:string; + source:string; +} diff --git a/extensions/react-widget/src/utils/helper.ts b/extensions/react-widget/src/utils/helper.ts new file mode 100644 index 00000000..9f92fdcb --- /dev/null +++ b/extensions/react-widget/src/utils/helper.ts @@ -0,0 +1,151 @@ +export const getOS = () => { + const platform = window.navigator.platform; + const userAgent = window.navigator.userAgent || window.navigator.vendor; + + if (/Mac/i.test(platform)) { + return 'mac'; + } + + if (/Win/i.test(platform)) { + return 'win'; + } + + if (/Linux/i.test(platform) && !/Android/i.test(userAgent)) { + return 'linux'; + } + + if (/Android/i.test(userAgent)) { + return 'android'; + } + + if (/iPhone|iPad|iPod/i.test(userAgent)) { + return 'ios'; + } + + return 'other'; +}; + +interface ParsedElement { + content: string; + tag: string; +} + +export const processMarkdownString = (markdown: string, keyword?: string): ParsedElement[] => { + const lines = markdown.trim().split('\n'); + const keywordLower = keyword?.toLowerCase(); + + const escapeRegExp = (str: string) => str.replace(/[-\/\\^$*+?.()|[\]{}]/g, '\\$&'); + const escapedKeyword = keyword ? escapeRegExp(keyword) : ''; + const keywordRegex = keyword ? new RegExp(`(${escapedKeyword})`, 'gi') : null; + + let isInCodeBlock = false; + let codeBlockContent: string[] = []; + let matchingLines: ParsedElement[] = []; + let firstLine: ParsedElement | null = null; + + for (let i = 0; i < lines.length; i++) { + const trimmedLine = lines[i].trim(); + if (!trimmedLine) continue; + + if (trimmedLine.startsWith('```')) { + if (!isInCodeBlock) { + isInCodeBlock = true; + codeBlockContent = []; + } else { + isInCodeBlock = false; + const codeContent = codeBlockContent.join('\n'); + const parsedElement: ParsedElement = { + content: codeContent, + tag: 'code' + }; + + if (!firstLine) { + firstLine = parsedElement; + } + + if (keywordLower && codeContent.toLowerCase().includes(keywordLower)) { + parsedElement.content = parsedElement.content.replace(keywordRegex!, '$1'); + matchingLines.push(parsedElement); + } + } + continue; + } + + if (isInCodeBlock) { + codeBlockContent.push(trimmedLine); + continue; + } + + let parsedElement: ParsedElement | null = null; + + const headingMatch = trimmedLine.match(/^(#{1,6})\s+(.+)$/); + const bulletMatch = trimmedLine.match(/^[-*]\s+(.+)$/); + const numberedMatch = trimmedLine.match(/^\d+\.\s+(.+)$/); + const blockquoteMatch = trimmedLine.match(/^>+\s*(.+)$/); + + let content = trimmedLine; + + if (headingMatch) { + content = headingMatch[2]; + parsedElement = { + content: content, + tag: 'heading' + }; + } else if (bulletMatch) { + content = bulletMatch[1]; + parsedElement = { + content: content, + tag: 'bulletList' + }; + } else if (numberedMatch) { + content = numberedMatch[1]; + parsedElement = { + content: content, + tag: 'numberedList' + }; + } else if (blockquoteMatch) { + content = blockquoteMatch[1]; + parsedElement = { + content: content, + tag: 'blockquote' + }; + } else { + parsedElement = { + content: content, + tag: 'text' + }; + } + + if (!firstLine) { + firstLine = parsedElement; + } + + if (keywordLower && parsedElement.content.toLowerCase().includes(keywordLower)) { + parsedElement.content = parsedElement.content.replace(keywordRegex!, '$1'); + matchingLines.push(parsedElement); + } + } + + if (isInCodeBlock && codeBlockContent.length > 0) { + const codeContent = codeBlockContent.join('\n'); + const parsedElement: ParsedElement = { + content: codeContent, + tag: 'code' + }; + + if (!firstLine) { + firstLine = parsedElement; + } + + if (keywordLower && codeContent.toLowerCase().includes(keywordLower)) { + parsedElement.content = parsedElement.content.replace(keywordRegex!, '$1'); + matchingLines.push(parsedElement); + } + } + + if (keywordLower && matchingLines.length > 0) { + return matchingLines; + } + + return firstLine ? [firstLine] : []; +}; diff --git a/extensions/react-widget/tsconfig.json b/extensions/react-widget/tsconfig.json new file mode 100644 index 00000000..88e86216 --- /dev/null +++ b/extensions/react-widget/tsconfig.json @@ -0,0 +1,34 @@ +{ + "compilerOptions": { + "baseUrl": ".", + "paths": { + "@/*": ["src/*", "@/*"] + }, + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": false, + "noUnusedParameters": false, + "noFallthroughCasesInSwitch": true, + /* The "typeRoots" configuration specifies the locations where + TypeScript looks for type definitions (.d.ts files) to + include in the compilation process.*/ + "typeRoots": ["./dist/index.d.ts", "node_modules/@types"] + }, + /* include /index.ts*/ + "include": ["src/index.ts","custom.d.ts"], + "exclude": ["node_modules"], + } \ No newline at end of file diff --git a/extensions/slack-bot/.gitignore b/extensions/slack-bot/.gitignore new file mode 100644 index 00000000..1d8e58b2 --- /dev/null +++ b/extensions/slack-bot/.gitignore @@ -0,0 +1,3 @@ +.env +.venv/ +get-pip.py \ No newline at end of file diff --git a/extensions/slack-bot/Readme.md b/extensions/slack-bot/Readme.md new file mode 100644 index 00000000..704184a2 --- /dev/null +++ b/extensions/slack-bot/Readme.md @@ -0,0 +1,84 @@ + +# Slack Bot Configuration Guide + +> **Note:** The following guidelines must be followed on the [Slack API website](https://api.slack.com/) for setting up your Slack app and generating the necessary tokens. + +## Step-by-Step Instructions + +### 1. Navigate to Your Apps +- Go to the Slack API page for apps and select **Create an App** from the “From Scratch” option. + +### 2. App Creation +- Name your app and choose the workspace where you wish to add the assistant. + +### 3. Enabling Socket Mode +- Navigate to **Settings > Socket Mode** and enable **Socket Mode**. +- This action will generate an App-level token. Select the `connections:write` scope and copy the App-level token for future use. + +### 4. Socket Naming +- Assign a name to your socket as per your preference. + +### 5. Basic Information Setup +- Go to **Basic Information** (under **Settings**) and configure the following: + - Assistant name + - App icon + - Background color + +### 6. Bot Token and Permissions +- In the **OAuth & Permissions** option found under the **Features** section, retrieve the Bot Token. Save it for future usage. +- You will also need to add specific bot token scopes: + - `app_mentions:read` + - `assistant:write` + - `chat:write` + - `chat:write.public` + - `im:history` + +### 7. Enable Events +- From **Event Subscriptions**, enable events and add the following Bot User events: + - `app_mention` + - `assistant_thread_context_changed` + - `assistant_thread_started` + - `message.im` + +### 8. Agent/Assistant Toggle +- In the **Features > Agent & Assistants** section, toggle on the Agent or Assistant option. +- In the **Suggested Prompts** setting, leave it as `dynamic` (this is the default setting). + +--- + +## Code-Side Configuration Guide + +This section focuses on generating and setting up the necessary tokens in the `.env` file, using the `.env-example` as a template. + +### Step 1: Generating Required Keys + +1. **SLACK_APP_TOKEN** + - Navigate to **Settings > Socket Mode** in the Slack API and enable **Socket Mode**. + - Copy the App-level token generated (usually starts with `xapp-`). + +2. **SLACK_BOT_TOKEN** + - Go to **OAuth & Permissions** (under the **Features** section in Slack API). + - Retrieve the **Bot Token** (starts with `xoxb-`). + +3. **DOCSGPT_API_KEY** + - Go to the **DocsGPT website**. + - Navigate to **Settings > Chatbots > Create New** to generate a DocsGPT API Key. + - Copy the generated key for use. + +### Step 2: Creating and Updating the `.env` File + +1. Create a new `.env` file in the root of your project (if it doesn’t already exist). +2. Use the `.env-example` as a reference and update the file with the following keys and values: + +```bash +# .env file +SLACK_APP_TOKEN=xapp-your-generated-app-token +SLACK_BOT_TOKEN=xoxb-your-generated-bot-token +DOCSGPT_API_KEY=your-docsgpt-generated-api-key +``` + +Replace the placeholder values with the actual tokens generated from the Slack API and DocsGPT as per the steps outlined above. + +--- + +This concludes the guide for both setting up the Slack API and configuring the `.env` file on the code side. diff --git a/extensions/slack-bot/app.py b/extensions/slack-bot/app.py new file mode 100644 index 00000000..d4f522fd --- /dev/null +++ b/extensions/slack-bot/app.py @@ -0,0 +1,112 @@ +import os +import hashlib +import httpx +import re +from slack_bolt.async_app import AsyncApp +from slack_bolt.adapter.socket_mode.async_handler import AsyncSocketModeHandler +from dotenv import load_dotenv + +load_dotenv() +API_BASE = os.getenv("API_BASE", "https://gptcloud.arc53.com") +API_URL = API_BASE + "/api/answer" + +# Slack bot token and signing secret +SLACK_BOT_TOKEN = os.getenv("SLACK_BOT_TOKEN") +SLACK_APP_TOKEN = os.getenv("SLACK_APP_TOKEN") + +# OpenAI API key for DocsGPT (replace this with your actual API key) +DOCSGPT_API_KEY = os.getenv("DOCSGPT_API_KEY") + +# Initialize Slack app +app = AsyncApp(token=SLACK_BOT_TOKEN) + +def encode_conversation_id(conversation_id: str) -> str: + """ + Encodes 11 length Slack conversation_id to 12 length string + Args: + conversation_id (str): The 11 digit slack conversation_id. + Returns: + str: Hashed id. + """ + # Create a SHA-256 hash of the string + hashed_id = hashlib.sha256(conversation_id.encode()).hexdigest() + + # Take the first 24 characters of the hash + hashed_24_char_id = hashed_id[:24] + return hashed_24_char_id + +async def generate_answer(question: str, messages: list, conversation_id: str | None) -> dict: + """Generates an answer using the external API.""" + payload = { + "question": question, + "api_key": DOCSGPT_API_KEY, + "history": messages, + "conversation_id": conversation_id, + } + headers = { + "Content-Type": "application/json; charset=utf-8" + } + timeout = 60.0 + async with httpx.AsyncClient() as client: + response = await client.post(API_URL, json=payload, headers=headers, timeout=timeout) + + if response.status_code == 200: + data = response.json() + conversation_id = data.get("conversation_id") + answer = data.get("answer", "Sorry, I couldn't find an answer.") + return {"answer": answer, "conversation_id": conversation_id} + else: + print(response.json()) + return {"answer": "Sorry, I couldn't find an answer.", "conversation_id": None} + +@app.message(".*") +async def message_docs(message, say): + client = app.client + channel = message['channel'] + thread_ts = message['thread_ts'] + user_query = message['text'] + await client.assistant_threads_setStatus( + channel_id = channel, + thread_ts = thread_ts, + status = "is generating your answer...", + ) + + docs_gpt_channel_id = encode_conversation_id(thread_ts) + + # Get response from DocsGPT + response = await generate_answer(user_query,[], docs_gpt_channel_id) + answer = convert_to_slack_markdown(response['answer']) + + # Respond in Slack + await client.chat_postMessage(text = answer, mrkdwn= True, channel= message['channel'], + thread_ts = message['thread_ts'],) + +def convert_to_slack_markdown(markdown_text: str): + # Convert bold **text** to *text* for Slack + slack_text = re.sub(r'\*\*(.*?)\*\*', r'*\1*', markdown_text) # **text** to *text* + + # Convert italics _text_ to _text_ for Slack + slack_text = re.sub(r'_(.*?)_', r'_\1_', slack_text) # _text_ to _text_ + + # Convert inline code `code` to `code` (Slack supports backticks for inline code) + slack_text = re.sub(r'`(.*?)`', r'`\1`', slack_text) + + # Convert bullet points with single or no spaces to filled bullets (•) + slack_text = re.sub(r'^\s{0,1}[-*]\s+', ' • ', slack_text, flags=re.MULTILINE) + + # Convert bullet points with multiple spaces to hollow bullets (◦) + slack_text = re.sub(r'^\s{2,}[-*]\s+', '\t◦ ', slack_text, flags=re.MULTILINE) + + # Convert headers (##) to bold in Slack + slack_text = re.sub(r'^\s*#{1,6}\s*(.*?)$', r'*\1*', slack_text, flags=re.MULTILINE) + + return slack_text + +async def main(): + handler = AsyncSocketModeHandler(app, os.environ["SLACK_APP_TOKEN"]) + await handler.start_async() + +# Start the app +if __name__ == "__main__": + import asyncio + asyncio.run(main()) \ No newline at end of file diff --git a/extensions/slack-bot/requirements.txt b/extensions/slack-bot/requirements.txt new file mode 100644 index 00000000..0c588b43 --- /dev/null +++ b/extensions/slack-bot/requirements.txt @@ -0,0 +1,10 @@ +aiohttp>=3,<4 +certifi==2024.7.4 +h11==0.14.0 +httpcore==1.0.5 +httpx==0.27.0 +idna==3.7 +python-dotenv==1.0.1 +sniffio==1.3.1 +slack-bolt==1.21.0 +bson==0.5.10 diff --git a/extensions/web-widget/README.md b/extensions/web-widget/README.md new file mode 100644 index 00000000..09c200eb --- /dev/null +++ b/extensions/web-widget/README.md @@ -0,0 +1,25 @@ +# Chat Widget + +A simple chat widget that can be easily integrated into any website. + +## Installation + +1. Host the `widget.html`, `styles.css`, and `script.js` files from the `src` folder on your own server or a Content Delivery Network (CDN). Make sure to note the URLs for these files. + +2. Update the URLs in the `dist/chat-widget.js` file to match the locations of your hosted files: + + ```javascript + fetch("https://your-server-or-cdn.com/path/to/widget.html"), + fetch("https://your-server-or-cdn.com/path/to/styles.css"), + fetch("https://your-server-or-cdn.com/path/to/script.js"), + ``` + +3. Host the `dist/chat-widget.js` file on your own server or a Content Delivery Network (CDN). Make sure to note the URL for this file. + + +##Integration + +To integrate the chat widget into a website, add the following script tag to the HTML file, replacing URL_TO_CHAT_WIDGET_JS with the actual URL of your hosted chat-widget.js file: +```javascript + +``` \ No newline at end of file diff --git a/extensions/web-widget/dist/chat-widget.js b/extensions/web-widget/dist/chat-widget.js new file mode 100644 index 00000000..ebef2581 --- /dev/null +++ b/extensions/web-widget/dist/chat-widget.js @@ -0,0 +1,41 @@ +(async function () { + // Fetch the HTML, CSS, and JavaScript from your server or CDN + const [htmlRes, jsRes] = await Promise.all([ + fetch("https://s3-eu-west-2.amazonaws.com/arc53data/widget.html"), + // fetch("https://s3-eu-west-2.amazonaws.com/arc53data/tailwind.css"), + fetch("https://s3-eu-west-2.amazonaws.com/arc53data/script.js"), + ]); + + const html = await htmlRes.text(); + //const css = await cssRes.text(); + const js = await jsRes.text(); + + // create a new link element + const link = document.createElement("link"); + + //set the rel, href, type, and integrity attributes + link.rel = "stylesheet"; + link.href = "https://cdn.tailwindcss.com/"; + link.type = "text/css"; + link.integrity = "sha384-PDOmVviaTm8N1W35y1NSmo80w6GPaGhbDuOBAF/5hRffaeGc6yOwIo1qAt4gqLGA%"; + + // get the document head and append the link element to it + // document.head.appendChild(link); + + + + // Create a style element for the CSS + // const style = document.createElement("style"); + // style.innerHTML = css; + // document.head.appendChild(style); + + // Create a container for the chat widget and inject the HTML + const chatWidgetContainer = document.createElement("div"); + chatWidgetContainer.innerHTML = html; + document.body.appendChild(chatWidgetContainer); + + // Execute the JavaScript code + const script = document.createElement("script"); + script.innerHTML = js; + document.body.appendChild(script); +})(); diff --git a/extensions/web-widget/dist/output.css b/extensions/web-widget/dist/output.css new file mode 100644 index 00000000..c4c688ba --- /dev/null +++ b/extensions/web-widget/dist/output.css @@ -0,0 +1,807 @@ +/* +! tailwindcss v3.3.1 | MIT License | https://tailwindcss.com +*/ + +/* +1. Prevent padding and border from affecting element width. (https://github.com/mozdevs/cssremedy/issues/4) +2. Allow adding a border to an element by just adding a border-width. (https://github.com/tailwindcss/tailwindcss/pull/116) +*/ + +*, +::before, +::after { + box-sizing: border-box; + /* 1 */ + border-width: 0; + /* 2 */ + border-style: solid; + /* 2 */ + border-color: #e5e7eb; + /* 2 */ +} + +::before, +::after { + --tw-content: ''; +} + +/* +1. Use a consistent sensible line-height in all browsers. +2. Prevent adjustments of font size after orientation changes in iOS. +3. Use a more readable tab size. +4. Use the user's configured `sans` font-family by default. +5. Use the user's configured `sans` font-feature-settings by default. +6. Use the user's configured `sans` font-variation-settings by default. +*/ + +html { + line-height: 1.5; + /* 1 */ + -webkit-text-size-adjust: 100%; + /* 2 */ + -moz-tab-size: 4; + /* 3 */ + -o-tab-size: 4; + tab-size: 4; + /* 3 */ + font-family: ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; + /* 4 */ + font-feature-settings: normal; + /* 5 */ + font-variation-settings: normal; + /* 6 */ +} + +/* +1. Remove the margin in all browsers. +2. Inherit line-height from `html` so users can set them as a class directly on the `html` element. +*/ + +body { + margin: 0; + /* 1 */ + line-height: inherit; + /* 2 */ +} + +/* +1. Add the correct height in Firefox. +2. Correct the inheritance of border color in Firefox. (https://bugzilla.mozilla.org/show_bug.cgi?id=190655) +3. Ensure horizontal rules are visible by default. +*/ + +hr { + height: 0; + /* 1 */ + color: inherit; + /* 2 */ + border-top-width: 1px; + /* 3 */ +} + +/* +Add the correct text decoration in Chrome, Edge, and Safari. +*/ + +abbr:where([title]) { + -webkit-text-decoration: underline dotted; + text-decoration: underline dotted; +} + +/* +Remove the default font size and weight for headings. +*/ + +h1, +h2, +h3, +h4, +h5, +h6 { + font-size: inherit; + font-weight: inherit; +} + +/* +Reset links to optimize for opt-in styling instead of opt-out. +*/ + +a { + color: inherit; + text-decoration: inherit; +} + +/* +Add the correct font weight in Edge and Safari. +*/ + +b, +strong { + font-weight: bolder; +} + +/* +1. Use the user's configured `mono` font family by default. +2. Correct the odd `em` font sizing in all browsers. +*/ + +code, +kbd, +samp, +pre { + font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; + /* 1 */ + font-size: 1em; + /* 2 */ +} + +/* +Add the correct font size in all browsers. +*/ + +small { + font-size: 80%; +} + +/* +Prevent `sub` and `sup` elements from affecting the line height in all browsers. +*/ + +sub, +sup { + font-size: 75%; + line-height: 0; + position: relative; + vertical-align: baseline; +} + +sub { + bottom: -0.25em; +} + +sup { + top: -0.5em; +} + +/* +1. Remove text indentation from table contents in Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=999088, https://bugs.webkit.org/show_bug.cgi?id=201297) +2. Correct table border color inheritance in all Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=935729, https://bugs.webkit.org/show_bug.cgi?id=195016) +3. Remove gaps between table borders by default. +*/ + +table { + text-indent: 0; + /* 1 */ + border-color: inherit; + /* 2 */ + border-collapse: collapse; + /* 3 */ +} + +/* +1. Change the font styles in all browsers. +2. Remove the margin in Firefox and Safari. +3. Remove default padding in all browsers. +*/ + +button, +input, +optgroup, +select, +textarea { + font-family: inherit; + /* 1 */ + font-size: 100%; + /* 1 */ + font-weight: inherit; + /* 1 */ + line-height: inherit; + /* 1 */ + color: inherit; + /* 1 */ + margin: 0; + /* 2 */ + padding: 0; + /* 3 */ +} + +/* +Remove the inheritance of text transform in Edge and Firefox. +*/ + +button, +select { + text-transform: none; +} + +/* +1. Correct the inability to style clickable types in iOS and Safari. +2. Remove default button styles. +*/ + +button, +[type='button'], +[type='reset'], +[type='submit'] { + -webkit-appearance: button; + /* 1 */ + background-color: transparent; + /* 2 */ + background-image: none; + /* 2 */ +} + +/* +Use the modern Firefox focus style for all focusable elements. +*/ + +:-moz-focusring { + outline: auto; +} + +/* +Remove the additional `:invalid` styles in Firefox. (https://github.com/mozilla/gecko-dev/blob/2f9eacd9d3d995c937b4251a5557d95d494c9be1/layout/style/res/forms.css#L728-L737) +*/ + +:-moz-ui-invalid { + box-shadow: none; +} + +/* +Add the correct vertical alignment in Chrome and Firefox. +*/ + +progress { + vertical-align: baseline; +} + +/* +Correct the cursor style of increment and decrement buttons in Safari. +*/ + +::-webkit-inner-spin-button, +::-webkit-outer-spin-button { + height: auto; +} + +/* +1. Correct the odd appearance in Chrome and Safari. +2. Correct the outline style in Safari. +*/ + +[type='search'] { + -webkit-appearance: textfield; + /* 1 */ + outline-offset: -2px; + /* 2 */ +} + +/* +Remove the inner padding in Chrome and Safari on macOS. +*/ + +::-webkit-search-decoration { + -webkit-appearance: none; +} + +/* +1. Correct the inability to style clickable types in iOS and Safari. +2. Change font properties to `inherit` in Safari. +*/ + +::-webkit-file-upload-button { + -webkit-appearance: button; + /* 1 */ + font: inherit; + /* 2 */ +} + +/* +Add the correct display in Chrome and Safari. +*/ + +summary { + display: list-item; +} + +/* +Removes the default spacing and border for appropriate elements. +*/ + +blockquote, +dl, +dd, +h1, +h2, +h3, +h4, +h5, +h6, +hr, +figure, +p, +pre { + margin: 0; +} + +fieldset { + margin: 0; + padding: 0; +} + +legend { + padding: 0; +} + +ol, +ul, +menu { + list-style: none; + margin: 0; + padding: 0; +} + +/* +Prevent resizing textareas horizontally by default. +*/ + +textarea { + resize: vertical; +} + +/* +1. Reset the default placeholder opacity in Firefox. (https://github.com/tailwindlabs/tailwindcss/issues/3300) +2. Set the default placeholder color to the user's configured gray 400 color. +*/ + +input::-moz-placeholder, textarea::-moz-placeholder { + opacity: 1; + /* 1 */ + color: #9ca3af; + /* 2 */ +} + +input::placeholder, +textarea::placeholder { + opacity: 1; + /* 1 */ + color: #9ca3af; + /* 2 */ +} + +/* +Set the default cursor for buttons. +*/ + +button, +[role="button"] { + cursor: pointer; +} + +/* +Make sure disabled buttons don't get the pointer cursor. +*/ + +:disabled { + cursor: default; +} + +/* +1. Make replaced elements `display: block` by default. (https://github.com/mozdevs/cssremedy/issues/14) +2. Add `vertical-align: middle` to align replaced elements more sensibly by default. (https://github.com/jensimmons/cssremedy/issues/14#issuecomment-634934210) + This can trigger a poorly considered lint error in some tools but is included by design. +*/ + +img, +svg, +video, +canvas, +audio, +iframe, +embed, +object { + display: block; + /* 1 */ + vertical-align: middle; + /* 2 */ +} + +/* +Constrain images and videos to the parent width and preserve their intrinsic aspect ratio. (https://github.com/mozdevs/cssremedy/issues/14) +*/ + +img, +video { + max-width: 100%; + height: auto; +} + +/* Make elements with the HTML hidden attribute stay hidden by default */ + +[hidden] { + display: none; +} + +*, ::before, ::after { + --tw-border-spacing-x: 0; + --tw-border-spacing-y: 0; + --tw-translate-x: 0; + --tw-translate-y: 0; + --tw-rotate: 0; + --tw-skew-x: 0; + --tw-skew-y: 0; + --tw-scale-x: 1; + --tw-scale-y: 1; + --tw-pan-x: ; + --tw-pan-y: ; + --tw-pinch-zoom: ; + --tw-scroll-snap-strictness: proximity; + --tw-ordinal: ; + --tw-slashed-zero: ; + --tw-numeric-figure: ; + --tw-numeric-spacing: ; + --tw-numeric-fraction: ; + --tw-ring-inset: ; + --tw-ring-offset-width: 0px; + --tw-ring-offset-color: #fff; + --tw-ring-color: rgb(59 130 246 / 0.5); + --tw-ring-offset-shadow: 0 0 #0000; + --tw-ring-shadow: 0 0 #0000; + --tw-shadow: 0 0 #0000; + --tw-shadow-colored: 0 0 #0000; + --tw-blur: ; + --tw-brightness: ; + --tw-contrast: ; + --tw-grayscale: ; + --tw-hue-rotate: ; + --tw-invert: ; + --tw-saturate: ; + --tw-sepia: ; + --tw-drop-shadow: ; + --tw-backdrop-blur: ; + --tw-backdrop-brightness: ; + --tw-backdrop-contrast: ; + --tw-backdrop-grayscale: ; + --tw-backdrop-hue-rotate: ; + --tw-backdrop-invert: ; + --tw-backdrop-opacity: ; + --tw-backdrop-saturate: ; + --tw-backdrop-sepia: ; +} + +::backdrop { + --tw-border-spacing-x: 0; + --tw-border-spacing-y: 0; + --tw-translate-x: 0; + --tw-translate-y: 0; + --tw-rotate: 0; + --tw-skew-x: 0; + --tw-skew-y: 0; + --tw-scale-x: 1; + --tw-scale-y: 1; + --tw-pan-x: ; + --tw-pan-y: ; + --tw-pinch-zoom: ; + --tw-scroll-snap-strictness: proximity; + --tw-ordinal: ; + --tw-slashed-zero: ; + --tw-numeric-figure: ; + --tw-numeric-spacing: ; + --tw-numeric-fraction: ; + --tw-ring-inset: ; + --tw-ring-offset-width: 0px; + --tw-ring-offset-color: #fff; + --tw-ring-color: rgb(59 130 246 / 0.5); + --tw-ring-offset-shadow: 0 0 #0000; + --tw-ring-shadow: 0 0 #0000; + --tw-shadow: 0 0 #0000; + --tw-shadow-colored: 0 0 #0000; + --tw-blur: ; + --tw-brightness: ; + --tw-contrast: ; + --tw-grayscale: ; + --tw-hue-rotate: ; + --tw-invert: ; + --tw-saturate: ; + --tw-sepia: ; + --tw-drop-shadow: ; + --tw-backdrop-blur: ; + --tw-backdrop-brightness: ; + --tw-backdrop-contrast: ; + --tw-backdrop-grayscale: ; + --tw-backdrop-hue-rotate: ; + --tw-backdrop-invert: ; + --tw-backdrop-opacity: ; + --tw-backdrop-saturate: ; + --tw-backdrop-sepia: ; +} + +.fixed { + position: fixed; +} + +.absolute { + position: absolute; +} + +.relative { + position: relative; +} + +.inset-y-0 { + top: 0px; + bottom: 0px; +} + +.bottom-5 { + bottom: 1.25rem; +} + +.left-5 { + left: 1.25rem; +} + +.right-2 { + right: 0.5rem; +} + +.z-50 { + z-index: 50; +} + +.m-0 { + margin: 0px; +} + +.-mx-2 { + margin-left: -0.5rem; + margin-right: -0.5rem; +} + +.mt-1 { + margin-top: 0.25rem; +} + +.flex { + display: flex; +} + +.hidden { + display: none; +} + +.w-full { + width: 100%; +} + +.flex-1 { + flex: 1 1 0%; +} + +.transform { + transform: translate(var(--tw-translate-x), var(--tw-translate-y)) rotate(var(--tw-rotate)) skewX(var(--tw-skew-x)) skewY(var(--tw-skew-y)) scaleX(var(--tw-scale-x)) scaleY(var(--tw-scale-y)); +} + +.items-center { + align-items: center; +} + +.justify-center { + justify-content: center; +} + +.gap-2 { + gap: 0.5rem; +} + +.divide-y > :not([hidden]) ~ :not([hidden]) { + --tw-divide-y-reverse: 0; + border-top-width: calc(1px * calc(1 - var(--tw-divide-y-reverse))); + border-bottom-width: calc(1px * var(--tw-divide-y-reverse)); +} + +.rounded-md { + border-radius: 0.375rem; +} + +.rounded-b { + border-bottom-right-radius: 0.25rem; + border-bottom-left-radius: 0.25rem; +} + +.border { + border-width: 1px; +} + +.bg-transparent { + background-color: transparent; +} + +.bg-gradient-to-br { + background-image: linear-gradient(to bottom right, var(--tw-gradient-stops)); +} + +.from-gray-100\/80 { + --tw-gradient-from: rgb(243 244 246 / 0.8) var(--tw-gradient-from-position); + --tw-gradient-from-position: ; + --tw-gradient-to: rgb(243 244 246 / 0) var(--tw-gradient-from-position); + --tw-gradient-to-position: ; + --tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to); +} + +.via-white { + --tw-gradient-via-position: ; + --tw-gradient-to: rgb(255 255 255 / 0) var(--tw-gradient-to-position); + --tw-gradient-to-position: ; + --tw-gradient-stops: var(--tw-gradient-from), #fff var(--tw-gradient-via-position), var(--tw-gradient-to); +} + +.to-white { + --tw-gradient-to: #fff var(--tw-gradient-to-position); + --tw-gradient-to-position: ; +} + +.p-3 { + padding: 0.75rem; +} + +.px-2 { + padding-left: 0.5rem; + padding-right: 0.5rem; +} + +.px-5 { + padding-left: 1.25rem; + padding-right: 1.25rem; +} + +.py-3 { + padding-top: 0.75rem; + padding-bottom: 0.75rem; +} + +.pl-5 { + padding-left: 1.25rem; +} + +.pr-8 { + padding-right: 2rem; +} + +.font-sans { + font-family: ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; +} + +.text-sm { + font-size: 0.875rem; + line-height: 1.25rem; +} + +.text-xs { + font-size: 0.75rem; + line-height: 1rem; +} + +.font-bold { + font-weight: 700; +} + +.text-gray-400 { + --tw-text-opacity: 1; + color: rgb(156 163 175 / var(--tw-text-opacity)); +} + +.text-gray-600 { + --tw-text-opacity: 1; + color: rgb(75 85 99 / var(--tw-text-opacity)); +} + +.text-gray-700 { + --tw-text-opacity: 1; + color: rgb(55 65 81 / var(--tw-text-opacity)); +} + +.text-gray-800 { + --tw-text-opacity: 1; + color: rgb(31 41 55 / var(--tw-text-opacity)); +} + +.shadow { + --tw-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1); + --tw-shadow-colored: 0 1px 3px 0 var(--tw-shadow-color), 0 1px 2px -1px var(--tw-shadow-color); + box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow); +} + +.backdrop-blur-sm { + --tw-backdrop-blur: blur(4px); + -webkit-backdrop-filter: var(--tw-backdrop-blur) var(--tw-backdrop-brightness) var(--tw-backdrop-contrast) var(--tw-backdrop-grayscale) var(--tw-backdrop-hue-rotate) var(--tw-backdrop-invert) var(--tw-backdrop-opacity) var(--tw-backdrop-saturate) var(--tw-backdrop-sepia); + backdrop-filter: var(--tw-backdrop-blur) var(--tw-backdrop-brightness) var(--tw-backdrop-contrast) var(--tw-backdrop-grayscale) var(--tw-backdrop-hue-rotate) var(--tw-backdrop-invert) var(--tw-backdrop-opacity) var(--tw-backdrop-saturate) var(--tw-backdrop-sepia); +} + +.transition { + transition-property: color, background-color, border-color, text-decoration-color, fill, stroke, opacity, box-shadow, transform, filter, -webkit-backdrop-filter; + transition-property: color, background-color, border-color, text-decoration-color, fill, stroke, opacity, box-shadow, transform, filter, backdrop-filter; + transition-property: color, background-color, border-color, text-decoration-color, fill, stroke, opacity, box-shadow, transform, filter, backdrop-filter, -webkit-backdrop-filter; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1); + transition-duration: 150ms; +} + +.delay-200 { + transition-delay: 200ms; +} + +.duration-300 { + transition-duration: 300ms; +} + +.hover\:bg-gray-100:hover { + --tw-bg-opacity: 1; + background-color: rgb(243 244 246 / var(--tw-bg-opacity)); +} + +.focus\:outline-none:focus { + outline: 2px solid transparent; + outline-offset: 2px; +} + +@media (prefers-color-scheme: dark) { + .dark\:divide-gray-700 > :not([hidden]) ~ :not([hidden]) { + --tw-divide-opacity: 1; + border-color: rgb(55 65 81 / var(--tw-divide-opacity)); + } + + .dark\:border-gray-700 { + --tw-border-opacity: 1; + border-color: rgb(55 65 81 / var(--tw-border-opacity)); + } + + .dark\:from-gray-900\/80 { + --tw-gradient-from: rgb(17 24 39 / 0.8) var(--tw-gradient-from-position); + --tw-gradient-from-position: ; + --tw-gradient-to: rgb(17 24 39 / 0) var(--tw-gradient-from-position); + --tw-gradient-to-position: ; + --tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to); + } + + .dark\:via-gray-900 { + --tw-gradient-via-position: ; + --tw-gradient-to: rgb(17 24 39 / 0) var(--tw-gradient-to-position); + --tw-gradient-to-position: ; + --tw-gradient-stops: var(--tw-gradient-from), #111827 var(--tw-gradient-via-position), var(--tw-gradient-to); + } + + .dark\:to-gray-900 { + --tw-gradient-to: #111827 var(--tw-gradient-to-position); + --tw-gradient-to-position: ; + } + + .dark\:text-gray-200 { + --tw-text-opacity: 1; + color: rgb(229 231 235 / var(--tw-text-opacity)); + } + + .dark\:text-gray-300 { + --tw-text-opacity: 1; + color: rgb(209 213 219 / var(--tw-text-opacity)); + } + + .dark\:text-gray-500 { + --tw-text-opacity: 1; + color: rgb(107 114 128 / var(--tw-text-opacity)); + } + + .dark\:text-white { + --tw-text-opacity: 1; + color: rgb(255 255 255 / var(--tw-text-opacity)); + } + + 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+
+
\ No newline at end of file diff --git a/extensions/web-widget/src/input.css b/extensions/web-widget/src/input.css new file mode 100644 index 00000000..bd6213e1 --- /dev/null +++ b/extensions/web-widget/src/input.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; \ No newline at end of file diff --git a/extensions/web-widget/src/js/script.js b/extensions/web-widget/src/js/script.js new file mode 100644 index 00000000..79bc7298 --- /dev/null +++ b/extensions/web-widget/src/js/script.js @@ -0,0 +1,56 @@ +const API_ENDPOINT = "http://localhost:7091/api/answer"; // Replace with your API endpoint + +const widgetInitMessage = document.getElementById("docsgpt-init-message"); +const widgetAnswerMessage = document.getElementById("docsgpt-answer"); +const widgetAnswerMessageP = widgetAnswerMessage.querySelector("p"); +const askDocsGPTButton = document.getElementById("ask-docsgpt"); +const chatInput = document.getElementById("docsgpt-chat-input"); +const chatForm = document.getElementById("docsgpt-chat-form"); +const chatProcessing = document.getElementById("docsgpt-chat-processing"); + +async function sendMessage(message) { + const requestData = { + "question": message, + "active_docs": "default", + "api_key": "token", + "embeddings_key": "token", + "model": "default", + "history": null, + } + const response = await fetch(API_ENDPOINT, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(requestData), + }); + const data = await response.json(); + return data.answer; +} + +askDocsGPTButton.addEventListener("click", () => { + askDocsGPTButton.classList.add("hidden"); + chatForm.classList.remove("hidden"); + chatForm.focus(); + widgetInitMessage.classList.remove("hidden"); + widgetAnswerMessage.classList.add("hidden"); + + +}); + +chatForm.addEventListener("submit", async (e) => { + e.preventDefault(); + const message = chatInput.value.trim(); + if (!message) return; + + chatInput.value = ""; + chatForm.classList.add("hidden"); + chatProcessing.classList.remove("hidden"); + +const reply = await sendMessage(message); +chatProcessing.classList.add("hidden"); + +// inside

tag +widgetAnswerMessageP.innerHTML = reply; +widgetAnswerMessage.classList.remove("hidden"); +widgetInitMessage.classList.add("hidden"); +askDocsGPTButton.classList.remove("hidden"); +}); \ No newline at end of file diff --git a/extensions/web-widget/tailwind.config.js b/extensions/web-widget/tailwind.config.js new file mode 100644 index 00000000..351d0342 --- /dev/null +++ b/extensions/web-widget/tailwind.config.js @@ -0,0 +1,10 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: ["./src/**/*.{html,js}"], + theme: { + extend: {}, + }, + plugins: [], +} + + diff --git a/frontend/.env.development b/frontend/.env.development new file mode 100644 index 00000000..4083d677 --- /dev/null +++ b/frontend/.env.development @@ -0,0 +1,4 @@ +# Please put appropriate value +VITE_BASE_URL=http://localhost:5173 +VITE_API_HOST=http://127.0.0.1:7091 +VITE_API_STREAMING=true \ No newline at end of file diff --git a/frontend/.env.production b/frontend/.env.production new file mode 100644 index 00000000..e0c76c77 --- /dev/null +++ b/frontend/.env.production @@ -0,0 +1 @@ +VITE_API_HOST = https://gptcloud.arc53.com \ No newline at end of file diff --git a/frontend/.eslintignore b/frontend/.eslintignore new file mode 100644 index 00000000..14f73425 --- /dev/null +++ b/frontend/.eslintignore @@ -0,0 +1,17 @@ +node_modules/ +dist/ +prettier.config.cjs +.eslintrc.cjs +env.d.ts +public/ +assets/ +vite-env.d.ts +.prettierignore +package-lock.json +package.json +postcss.config.cjs +prettier.config.cjs +tailwind.config.cjs +tsconfig.json +tsconfig.node.json +vite.config.ts \ No newline at end of file diff --git a/frontend/.eslintrc.cjs b/frontend/.eslintrc.cjs new file mode 100644 index 00000000..88fb220b --- /dev/null +++ b/frontend/.eslintrc.cjs @@ -0,0 +1,45 @@ +module.exports = { + env: { + browser: true, + es2021: true, + node: true, + }, + extends: [ + 'eslint:recommended', + 'plugin:@typescript-eslint/recommended', + 'plugin:react/recommended', + 'plugin:prettier/recommended', + ], + overrides: [], + parser: '@typescript-eslint/parser', + parserOptions: { + ecmaVersion: 'latest', + sourceType: 'module', + }, + plugins: ['react', 'unused-imports'], + rules: { + 'react/prop-types': 'off', + 'unused-imports/no-unused-imports': 'error', + 'react/react-in-jsx-scope': 'off', + 'prettier/prettier': [ + 'error', + { + endOfLine: 'auto', + }, + ], + }, + settings: { + 'import/parsers': { + '@typescript-eslint/parser': ['.ts', '.tsx'], + }, + react: { + version: 'detect', + }, + 'import/resolver': { + node: { + paths: ['src'], + extensions: ['.js', '.jsx', '.ts', '.tsx'], + }, + }, + }, +}; diff --git a/frontend/.husky/pre-commit b/frontend/.husky/pre-commit new file mode 100755 index 00000000..32c85878 --- /dev/null +++ b/frontend/.husky/pre-commit @@ -0,0 +1,6 @@ +#!/usr/bin/env sh +. "$(dirname -- "$0")/_/husky.sh" + +# npm test +cd frontend +npx lint-staged \ No newline at end of file diff --git a/frontend/.prettierignore b/frontend/.prettierignore new file mode 100644 index 00000000..14f73425 --- /dev/null +++ b/frontend/.prettierignore @@ -0,0 +1,17 @@ +node_modules/ +dist/ +prettier.config.cjs +.eslintrc.cjs +env.d.ts +public/ +assets/ +vite-env.d.ts +.prettierignore +package-lock.json +package.json +postcss.config.cjs +prettier.config.cjs +tailwind.config.cjs +tsconfig.json +tsconfig.node.json +vite.config.ts \ No newline at end of file diff --git a/frontend/Dockerfile b/frontend/Dockerfile new file mode 100644 index 00000000..5ca21455 --- /dev/null +++ b/frontend/Dockerfile @@ -0,0 +1,11 @@ +FROM node:20.6.1-bullseye-slim + + +WORKDIR /app +COPY package*.json ./ +RUN npm install +COPY . . + +EXPOSE 5173 + +CMD [ "npm", "run", "dev", "--" , "--host"] diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 00000000..30faadc9 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,17 @@ + + + + + + + + DocsGPT + + + + +

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"^8.0.2", + "mermaid": "^11.6.0", + "prop-types": "^15.8.1", + "react": "^18.2.0", + "react-chartjs-2": "^5.3.0", + "react-copy-to-clipboard": "^5.1.0", + "react-dom": "^18.3.1", + "react-dropzone": "^14.3.5", + "react-helmet": "^6.1.0", + "react-i18next": "^15.4.0", + "react-markdown": "^9.0.1", + "react-redux": "^9.2.0", + "react-router-dom": "^7.6.1", + "react-syntax-highlighter": "^15.6.1", + "rehype-katex": "^7.0.1", + "remark-gfm": "^4.0.0", + "remark-math": "^6.0.0", + "tailwind-merge": "^3.3.1" + }, + "devDependencies": { + "@types/mermaid": "^9.1.0", + "@types/react": "^18.0.27", + "@types/react-dom": "^18.3.0", + "@types/react-helmet": "^6.1.11", + "@types/react-syntax-highlighter": "^15.5.13", + "@typescript-eslint/eslint-plugin": "^5.51.0", + "@typescript-eslint/parser": "^5.62.0", + "@vitejs/plugin-react": "^4.3.4", + "autoprefixer": "^10.4.13", + "eslint": "^8.57.1", + "eslint-config-prettier": "^10.1.5", + "eslint-config-standard-with-typescript": "^34.0.0", + "eslint-plugin-import": "^2.31.0", + "eslint-plugin-n": "^15.7.0", + "eslint-plugin-prettier": "^5.2.1", + "eslint-plugin-promise": "^6.6.0", + "eslint-plugin-react": "^7.37.5", + "eslint-plugin-unused-imports": "^4.1.4", + "husky": "^8.0.0", + "lint-staged": "^15.3.0", + "postcss": "^8.4.49", + "prettier": "^3.5.3", + "prettier-plugin-tailwindcss": "^0.6.11", + "tailwindcss": "^3.4.17", + "typescript": "^5.8.3", + "vite": "^6.3.5", + "vite-plugin-svgr": "^4.3.0" + } +} diff --git a/frontend/postcss.config.cjs b/frontend/postcss.config.cjs new file mode 100644 index 00000000..33ad091d --- /dev/null +++ b/frontend/postcss.config.cjs @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/prettier.config.cjs b/frontend/prettier.config.cjs new file mode 100644 index 00000000..8b38ecfa --- /dev/null +++ b/frontend/prettier.config.cjs @@ -0,0 +1,8 @@ +module.exports = { + trailingComma: 'all', + tabWidth: 2, + semi: true, + singleQuote: true, + printWidth: 80, + plugins: ['prettier-plugin-tailwindcss'], +}; diff --git a/frontend/public/favicon.ico b/frontend/public/favicon.ico new file mode 100644 index 00000000..ab909109 Binary files /dev/null and b/frontend/public/favicon.ico differ diff --git a/frontend/public/fonts/IBMPlexMono-Medium.ttf b/frontend/public/fonts/IBMPlexMono-Medium.ttf new file mode 100644 index 00000000..39f178db Binary files /dev/null and b/frontend/public/fonts/IBMPlexMono-Medium.ttf differ diff --git a/frontend/public/fonts/Inter-Variable.ttf b/frontend/public/fonts/Inter-Variable.ttf new file mode 100644 index 00000000..e7247087 Binary files /dev/null and b/frontend/public/fonts/Inter-Variable.ttf differ diff --git a/frontend/public/lock-dark.svg b/frontend/public/lock-dark.svg new file mode 100644 index 00000000..40a6b516 --- /dev/null +++ b/frontend/public/lock-dark.svg @@ -0,0 +1,7 @@ + + + + + + + \ No newline at end of file diff --git a/frontend/public/lock.svg b/frontend/public/lock.svg new file mode 100644 index 00000000..b85fd5f5 --- /dev/null +++ b/frontend/public/lock.svg @@ -0,0 +1,7 @@ + + + + + + + diff --git a/frontend/public/message-programming-dark.svg b/frontend/public/message-programming-dark.svg new file mode 100644 index 00000000..fec336ad --- /dev/null +++ b/frontend/public/message-programming-dark.svg @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/frontend/public/message-programming.svg b/frontend/public/message-programming.svg new file mode 100644 index 00000000..4432ad2b --- /dev/null +++ b/frontend/public/message-programming.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/frontend/public/message-text-dark.svg b/frontend/public/message-text-dark.svg new file mode 100644 index 00000000..cca376ba --- /dev/null +++ b/frontend/public/message-text-dark.svg @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/frontend/public/message-text.svg b/frontend/public/message-text.svg new file mode 100644 index 00000000..92285663 --- /dev/null +++ b/frontend/public/message-text.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/frontend/public/toolIcons/tool_api_tool.svg b/frontend/public/toolIcons/tool_api_tool.svg new file mode 100644 index 00000000..1e923cf3 --- /dev/null +++ b/frontend/public/toolIcons/tool_api_tool.svg @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/frontend/public/toolIcons/tool_brave.svg b/frontend/public/toolIcons/tool_brave.svg new file mode 100644 index 00000000..380c19ed --- /dev/null +++ b/frontend/public/toolIcons/tool_brave.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/toolIcons/tool_cryptoprice.svg b/frontend/public/toolIcons/tool_cryptoprice.svg new file mode 100644 index 00000000..6a422694 --- /dev/null +++ b/frontend/public/toolIcons/tool_cryptoprice.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/toolIcons/tool_ntfy.svg b/frontend/public/toolIcons/tool_ntfy.svg new file mode 100644 index 00000000..71fd647f --- /dev/null +++ b/frontend/public/toolIcons/tool_ntfy.svg @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/frontend/public/toolIcons/tool_postgres.svg b/frontend/public/toolIcons/tool_postgres.svg new file mode 100644 index 00000000..c7acdb18 --- /dev/null +++ b/frontend/public/toolIcons/tool_postgres.svg @@ -0,0 +1,29 @@ + + + + + + + Data + + + sql-database-generic + + + SQL Database (Generic) + + + image/svg+xml + + + Amido Limited + + + Richard Slater + + + + + + + \ No newline at end of file diff --git a/frontend/public/toolIcons/tool_read_webpage.svg b/frontend/public/toolIcons/tool_read_webpage.svg new file mode 100644 index 00000000..41692e95 --- /dev/null +++ b/frontend/public/toolIcons/tool_read_webpage.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/toolIcons/tool_telegram.svg b/frontend/public/toolIcons/tool_telegram.svg new file mode 100644 index 00000000..27536ded --- /dev/null +++ b/frontend/public/toolIcons/tool_telegram.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/frontend/public/vite.svg b/frontend/public/vite.svg new file mode 100644 index 00000000..e7b8dfb1 --- /dev/null +++ b/frontend/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/signal-desktop-keyring.gpg b/frontend/signal-desktop-keyring.gpg new file mode 100644 index 00000000..b5e68a04 Binary files /dev/null and b/frontend/signal-desktop-keyring.gpg differ diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 00000000..9c5de77f --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,76 @@ +import './locale/i18n'; + +import { useState } from 'react'; +import { Outlet, Route, Routes } from 'react-router-dom'; + +import Agents from './agents'; +import SharedAgentGate from './agents/SharedAgentGate'; +import ActionButtons from './components/ActionButtons'; +import Spinner from './components/Spinner'; +import Conversation from './conversation/Conversation'; +import { SharedConversation } from './conversation/SharedConversation'; +import { useDarkTheme, useMediaQuery } from './hooks'; +import useTokenAuth from './hooks/useTokenAuth'; +import Navigation from './Navigation'; +import PageNotFound from './PageNotFound'; +import Setting from './settings'; + +function AuthWrapper({ children }: { children: React.ReactNode }) { + const { isAuthLoading } = useTokenAuth(); + + if (isAuthLoading) { + return ( +
+ +
+ ); + } + return <>{children}; +} + +function MainLayout() { + const { isMobile, isTablet } = useMediaQuery(); + const [navOpen, setNavOpen] = useState(!(isMobile || isTablet)); + + return ( +
+ + +
+ +
+
+ ); +} +export default function App() { + const [, , componentMounted] = useDarkTheme(); + if (!componentMounted) { + return
; + } + return ( +
+ + + + + } + > + } /> + } /> + } /> + + } /> + } /> + } /> + +
+ ); +} diff --git a/frontend/src/Hero.tsx b/frontend/src/Hero.tsx new file mode 100644 index 00000000..a38394d7 --- /dev/null +++ b/frontend/src/Hero.tsx @@ -0,0 +1,56 @@ +import DocsGPT3 from './assets/cute_docsgpt3.svg'; +import { useTranslation } from 'react-i18next'; + +export default function Hero({ + handleQuestion, +}: { + handleQuestion: ({ + question, + isRetry, + }: { + question: string; + isRetry?: boolean; + }) => void; +}) { + const { t } = useTranslation(); + const demos = t('demo', { returnObjects: true }) as Array<{ + header: string; + query: string; + }>; + + return ( +
+ {/* Header Section */} +
+
+ DocsGPT + docsgpt +
+
+ + {/* Demo Buttons Section */} +
+
+ {demos?.map( + (demo: { header: string; query: string }, key: number) => + demo.header && + demo.query && ( + + ), + )} +
+
+
+ ); +} diff --git a/frontend/src/Navigation.tsx b/frontend/src/Navigation.tsx new file mode 100644 index 00000000..973fa687 --- /dev/null +++ b/frontend/src/Navigation.tsx @@ -0,0 +1,620 @@ +import { useEffect, useRef, useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useDispatch, useSelector } from 'react-redux'; +import { NavLink, useNavigate } from 'react-router-dom'; + +import { Agent } from './agents/types'; +import conversationService from './api/services/conversationService'; +import userService from './api/services/userService'; +import Add from './assets/add.svg'; +import DocsGPT3 from './assets/cute_docsgpt3.svg'; +import Discord from './assets/discord.svg'; +import Expand from './assets/expand.svg'; +import Github from './assets/github.svg'; +import Hamburger from './assets/hamburger.svg'; +import openNewChat from './assets/openNewChat.svg'; +import Pin from './assets/pin.svg'; +import Robot from './assets/robot.svg'; +import SettingGear from './assets/settingGear.svg'; +import Spark from './assets/spark.svg'; +import SpinnerDark from './assets/spinner-dark.svg'; +import Spinner from './assets/spinner.svg'; +import Twitter from './assets/TwitterX.svg'; +import UnPin from './assets/unpin.svg'; +import Help from './components/Help'; +import { + handleAbort, + selectQueries, + setConversation, + updateConversationId, +} from './conversation/conversationSlice'; +import ConversationTile from './conversation/ConversationTile'; +import { useDarkTheme, useMediaQuery } from './hooks'; +import useDefaultDocument from './hooks/useDefaultDocument'; +import useTokenAuth from './hooks/useTokenAuth'; +import DeleteConvModal from './modals/DeleteConvModal'; +import JWTModal from './modals/JWTModal'; +import { ActiveState } from './models/misc'; +import { getConversations } from './preferences/preferenceApi'; +import { + selectAgents, + selectConversationId, + selectConversations, + selectModalStateDeleteConv, + selectSelectedAgent, + selectSharedAgents, + selectToken, + setAgents, + setConversations, + setModalStateDeleteConv, + setSelectedAgent, + setSharedAgents, +} from './preferences/preferenceSlice'; +import Upload from './upload/Upload'; + +interface NavigationProps { + navOpen: boolean; + setNavOpen: React.Dispatch>; +} + +export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { + const dispatch = useDispatch(); + const navigate = useNavigate(); + + const { t } = useTranslation(); + + const token = useSelector(selectToken); + const queries = useSelector(selectQueries); + const conversations = useSelector(selectConversations); + const conversationId = useSelector(selectConversationId); + const modalStateDeleteConv = useSelector(selectModalStateDeleteConv); + const agents = useSelector(selectAgents); + const sharedAgents = useSelector(selectSharedAgents); + const selectedAgent = useSelector(selectSelectedAgent); + + const { isMobile, isTablet } = useMediaQuery(); + const [isDarkTheme] = useDarkTheme(); + const { showTokenModal, handleTokenSubmit } = useTokenAuth(); + + const [isDeletingConversation, setIsDeletingConversation] = useState(false); + const [uploadModalState, setUploadModalState] = + useState('INACTIVE'); + const [recentAgents, setRecentAgents] = useState([]); + + const navRef = useRef(null); + + async function fetchRecentAgents() { + try { + const response = await userService.getPinnedAgents(token); + if (!response.ok) throw new Error('Failed to fetch pinned agents'); + const pinnedAgents: Agent[] = await response.json(); + if (pinnedAgents.length >= 3) { + setRecentAgents(pinnedAgents); + return; + } + let tempAgents: Agent[] = []; + if (!agents) { + const response = await userService.getAgents(token); + if (!response.ok) throw new Error('Failed to fetch agents'); + const data: Agent[] = await response.json(); + dispatch(setAgents(data)); + tempAgents = data; + } else tempAgents = agents; + const additionalAgents = tempAgents + .filter( + (agent: Agent) => + agent.status === 'published' && + !pinnedAgents.some((pinned) => pinned.id === agent.id), + ) + .sort( + (a: Agent, b: Agent) => + new Date(b.last_used_at ?? 0).getTime() - + new Date(a.last_used_at ?? 0).getTime(), + ) + .slice(0, 3 - pinnedAgents.length); + setRecentAgents([...pinnedAgents, ...additionalAgents]); + } catch (error) { + console.error('Failed to fetch recent agents: ', error); + } + } + + async function fetchConversations() { + dispatch(setConversations({ ...conversations, loading: true })); + return await getConversations(token) + .then((fetchedConversations) => { + dispatch(setConversations(fetchedConversations)); + }) + .catch((error) => { + console.error('Failed to fetch conversations: ', error); + dispatch(setConversations({ data: null, loading: false })); + }); + } + + useEffect(() => { + fetchRecentAgents(); + }, [agents, sharedAgents, token, dispatch]); + + useEffect(() => { + if (!conversations?.data) fetchConversations(); + if (queries.length === 0) resetConversation(); + }, [conversations?.data, dispatch]); + + const handleDeleteAllConversations = () => { + setIsDeletingConversation(true); + conversationService + .deleteAll(token) + .then(() => { + fetchConversations(); + }) + .catch((error) => console.error(error)); + }; + + const handleDeleteConversation = (id: string) => { + setIsDeletingConversation(true); + conversationService + .delete(id, {}, token) + .then(() => { + fetchConversations(); + resetConversation(); + }) + .catch((error) => console.error(error)); + }; + + const handleAgentClick = (agent: Agent) => { + resetConversation(); + dispatch(setSelectedAgent(agent)); + if (isMobile || isTablet) setNavOpen(!navOpen); + navigate('/'); + }; + + const handleTogglePin = (agent: Agent) => { + userService.togglePinAgent(agent.id ?? '', token).then((response) => { + if (response.ok) { + const updatePinnedStatus = (a: Agent) => + a.id === agent.id ? { ...a, pinned: !a.pinned } : a; + dispatch(setAgents(agents?.map(updatePinnedStatus))); + dispatch(setSharedAgents(sharedAgents?.map(updatePinnedStatus))); + } + }); + }; + + const handleConversationClick = async (index: string) => { + try { + dispatch(setSelectedAgent(null)); + + const response = await conversationService.getConversation(index, token); + if (!response.ok) { + navigate('/'); + return; + } + + const data = await response.json(); + if (!data) return; + + dispatch(setConversation(data.queries)); + dispatch(updateConversationId({ query: { conversationId: index } })); + + if (!data.agent_id) { + navigate('/'); + return; + } + + let agent: Agent; + if (data.is_shared_usage) { + const sharedResponse = await userService.getSharedAgent( + data.shared_token, + token, + ); + if (!sharedResponse.ok) { + navigate('/'); + return; + } + agent = await sharedResponse.json(); + navigate(`/agents/shared/${agent.shared_token}`); + } else { + const agentResponse = await userService.getAgent(data.agent_id, token); + if (!agentResponse.ok) { + navigate('/'); + return; + } + agent = await agentResponse.json(); + if (agent.shared_token) { + navigate(`/agents/shared/${agent.shared_token}`); + } else { + await Promise.resolve(dispatch(setSelectedAgent(agent))); + navigate('/'); + } + } + } catch (error) { + console.error('Error handling conversation click:', error); + navigate('/'); + } + }; + + const resetConversation = () => { + handleAbort(); + dispatch(setConversation([])); + dispatch( + updateConversationId({ + query: { conversationId: null }, + }), + ); + dispatch(setSelectedAgent(null)); + }; + + const newChat = () => { + if (queries && queries?.length > 0) { + resetConversation(); + } + }; + + async function updateConversationName(updatedConversation: { + name: string; + id: string; + }) { + await conversationService + .update(updatedConversation, token) + .then((response) => response.json()) + .then((data) => { + if (data) { + navigate('/'); + fetchConversations(); + } + }) + .catch((err) => { + console.error(err); + }); + } + + useEffect(() => { + setNavOpen(!(isMobile || isTablet)); + }, [isMobile, isTablet]); + + useDefaultDocument(); + return ( + <> + {!navOpen && ( +
+
+ + {queries?.length > 0 && ( + + )} +
+ DocsGPT +
+
+
+ )} +
+
+
{ + if (isMobile) { + setNavOpen(!navOpen); + } + }} + > + + DocsGPT Logo +

DocsGPT

+ +
+ +
+ { + if (isMobile || isTablet) { + setNavOpen(!navOpen); + } + resetConversation(); + }} + className={({ isActive }) => + `${ + isActive ? 'bg-transparent' : '' + } group sticky mx-4 mt-4 flex cursor-pointer gap-2.5 rounded-3xl border border-silver p-3 hover:border-rainy-gray hover:bg-transparent dark:border-purple-taupe dark:text-white` + } + > + Create new chat +

+ {t('newChat')} +

+ +
+ {conversations?.loading && !isDeletingConversation && ( +
+ Loading conversations +
+ )} + {recentAgents?.length > 0 ? ( +
+
+

Agents

+
+
+
+ {recentAgents.map((agent, idx) => ( +
handleAgentClick(agent)} + > +
+
+ agent-logo +
+

+ {agent.name} +

+
+
+ +
+
+ ))} +
+
{ + dispatch(setSelectedAgent(null)); + if (isMobile || isTablet) { + setNavOpen(false); + } + navigate('/agents'); + }} + > +
+ manage-agents +
+

+ {t('manageAgents')} +

+
+
+
+ ) : ( +
{ + if (isMobile || isTablet) { + setNavOpen(false); + } + dispatch(setSelectedAgent(null)); + navigate('/agents'); + }} + > +
+ manage-agents +
+

+ {t('manageAgents')} +

+
+ )} + {conversations?.data && conversations.data.length > 0 ? ( +
+
+

{t('chats')}

+
+
+ {conversations.data?.map((conversation) => ( + handleConversationClick(id)} + onConversationClick={() => { + if (isMobile) { + setNavOpen(false); + } + }} + onDeleteConversation={(id) => handleDeleteConversation(id)} + onSave={(conversation) => + updateConversationName(conversation) + } + /> + ))} +
+
+ ) : ( + <> + )} +
+
+
+ { + if (isMobile || isTablet) { + setNavOpen(false); + } + resetConversation(); + }} + to="/settings" + className={({ isActive }) => + `mx-4 my-auto flex h-9 cursor-pointer gap-4 rounded-3xl hover:bg-gray-100 dark:hover:bg-[#28292E] ${ + isActive ? 'bg-gray-3000 dark:bg-transparent' : '' + }` + } + > + Settings +

+ {t('settings.label')} +

+ +
+
+
+ + +
+ + Join Discord community + + + Follow us on Twitter + + + View on GitHub + +
+
+
+
+
+
+
+ +
DocsGPT
+
+
+ + {uploadModalState === 'ACTIVE' && ( + setUploadModalState('INACTIVE')} + > + )} + + + ); +} diff --git a/frontend/src/PageNotFound.tsx b/frontend/src/PageNotFound.tsx new file mode 100644 index 00000000..4ee3a476 --- /dev/null +++ b/frontend/src/PageNotFound.tsx @@ -0,0 +1,15 @@ +import { Link } from 'react-router-dom'; + +export default function PageNotFound() { + return ( +
+

+

404

+

The page you are looking for does not exist.

+ +

+
+ ); +} diff --git a/frontend/src/agents/AgentCard.tsx b/frontend/src/agents/AgentCard.tsx new file mode 100644 index 00000000..1e3e4444 --- /dev/null +++ b/frontend/src/agents/AgentCard.tsx @@ -0,0 +1,123 @@ +import { useRef, useState } from 'react'; +import { useDispatch, useSelector } from 'react-redux'; +import { useNavigate } from 'react-router-dom'; + +import userService from '../api/services/userService'; +import Robot from '../assets/robot.svg'; +import ThreeDots from '../assets/three-dots.svg'; +import ContextMenu, { MenuOption } from '../components/ContextMenu'; +import ConfirmationModal from '../modals/ConfirmationModal'; +import { ActiveState } from '../models/misc'; +import { + selectToken, + setAgents, + setSelectedAgent, +} from '../preferences/preferenceSlice'; +import { Agent } from './types'; + +type AgentCardProps = { + agent: Agent; + agents: Agent[]; + menuOptions?: MenuOption[]; + onDelete?: (agentId: string) => void; +}; + +export default function AgentCard({ + agent, + agents, + menuOptions, + onDelete, +}: AgentCardProps) { + const navigate = useNavigate(); + const dispatch = useDispatch(); + const token = useSelector(selectToken); + + const [isMenuOpen, setIsMenuOpen] = useState(false); + const [deleteConfirmation, setDeleteConfirmation] = + useState('INACTIVE'); + + const menuRef = useRef(null); + + const handleCardClick = () => { + if (agent.status === 'published') { + dispatch(setSelectedAgent(agent)); + navigate('/'); + } + }; + + const defaultDelete = async (agentId: string) => { + const response = await userService.deleteAgent(agentId, token); + if (!response.ok) throw new Error('Failed to delete agent'); + const data = await response.json(); + dispatch(setAgents(agents.filter((prevAgent) => prevAgent.id !== data.id))); + }; + + return ( +
+
{ + e.stopPropagation(); + setIsMenuOpen(true); + }} + className="absolute right-4 top-4 z-10 cursor-pointer" + > + options + {menuOptions && ( + + )} +
+ +
+
+ {`${agent.name}`} + {agent.status === 'draft' && ( +

+ (Draft) +

+ )} +
+
+

+ {agent.name} +

+

+ {agent.description} +

+
+
+ + { + onDelete ? onDelete(agent.id || '') : defaultDelete(agent.id || ''); + setDeleteConfirmation('INACTIVE'); + }} + cancelLabel="Cancel" + variant="danger" + /> +
+ ); +} diff --git a/frontend/src/agents/AgentLogs.tsx b/frontend/src/agents/AgentLogs.tsx new file mode 100644 index 00000000..12638b8e --- /dev/null +++ b/frontend/src/agents/AgentLogs.tsx @@ -0,0 +1,86 @@ +import { useEffect, useState } from 'react'; +import { useSelector } from 'react-redux'; +import { useNavigate, useParams } from 'react-router-dom'; + +import userService from '../api/services/userService'; +import ArrowLeft from '../assets/arrow-left.svg'; +import Spinner from '../components/Spinner'; +import { selectToken } from '../preferences/preferenceSlice'; +import Analytics from '../settings/Analytics'; +import Logs from '../settings/Logs'; +import { Agent } from './types'; + +export default function AgentLogs() { + const navigate = useNavigate(); + const { agentId } = useParams(); + const token = useSelector(selectToken); + + const [agent, setAgent] = useState(); + const [loadingAgent, setLoadingAgent] = useState(true); + + const fetchAgent = async (agentId: string) => { + setLoadingAgent(true); + try { + const response = await userService.getAgent(agentId ?? '', token); + if (!response.ok) throw new Error('Failed to fetch Chatbots'); + const agent = await response.json(); + setAgent(agent); + } catch (error) { + console.error(error); + } finally { + setLoadingAgent(false); + } + }; + + useEffect(() => { + if (agentId) fetchAgent(agentId); + }, [agentId, token]); + return ( +
+
+ +

+ Back to all agents +

+
+
+

+ Agent Logs +

+
+
+ {agent && ( +
+

{agent.name}

+

+ {agent.last_used_at + ? 'Last used at ' + + new Date(agent.last_used_at).toLocaleString() + : 'No usage history'} +

+
+ )} +
+ {loadingAgent ? ( +
+ +
+ ) : ( + agent && + )} + {loadingAgent ? ( +
+ {' '} + +
+ ) : ( + agent && + )} +
+ ); +} diff --git a/frontend/src/agents/AgentPreview.tsx b/frontend/src/agents/AgentPreview.tsx new file mode 100644 index 00000000..cd4fdc18 --- /dev/null +++ b/frontend/src/agents/AgentPreview.tsx @@ -0,0 +1,140 @@ +import { useCallback, useEffect, useRef, useState } from 'react'; +import { useDispatch, useSelector } from 'react-redux'; + +import MessageInput from '../components/MessageInput'; +import ConversationMessages from '../conversation/ConversationMessages'; +import { Query } from '../conversation/conversationModels'; +import { + addQuery, + fetchAnswer, + handleAbort, + resendQuery, + resetConversation, + selectQueries, + selectStatus, +} from '../conversation/conversationSlice'; +import { selectSelectedAgent } from '../preferences/preferenceSlice'; +import { AppDispatch } from '../store'; + +export default function AgentPreview() { + const dispatch = useDispatch(); + + const queries = useSelector(selectQueries); + const status = useSelector(selectStatus); + const selectedAgent = useSelector(selectSelectedAgent); + + const [input, setInput] = useState(''); + const [lastQueryReturnedErr, setLastQueryReturnedErr] = useState(false); + + const fetchStream = useRef(null); + + const handleFetchAnswer = useCallback( + ({ question, index }: { question: string; index?: number }) => { + fetchStream.current = dispatch( + fetchAnswer({ question, indx: index, isPreview: true }), + ); + }, + [dispatch], + ); + + const handleQuestion = useCallback( + ({ + question, + isRetry = false, + index = undefined, + }: { + question: string; + isRetry?: boolean; + index?: number; + }) => { + const trimmedQuestion = question.trim(); + if (trimmedQuestion === '') return; + + if (index !== undefined) { + if (!isRetry) dispatch(resendQuery({ index, prompt: trimmedQuestion })); + handleFetchAnswer({ question: trimmedQuestion, index }); + } else { + if (!isRetry) { + const newQuery: Query = { prompt: trimmedQuestion }; + dispatch(addQuery(newQuery)); + } + handleFetchAnswer({ question: trimmedQuestion, index: undefined }); + } + }, + [dispatch, handleFetchAnswer], + ); + + const handleQuestionSubmission = ( + question?: string, + updated?: boolean, + indx?: number, + ) => { + if (updated === true && question !== undefined && indx !== undefined) { + handleQuestion({ + question, + index: indx, + isRetry: false, + }); + } else if (question && status !== 'loading') { + const currentInput = question.trim(); + if (lastQueryReturnedErr && queries.length > 0) { + const lastQueryIndex = queries.length - 1; + handleQuestion({ + question: currentInput, + isRetry: true, + index: lastQueryIndex, + }); + } else { + handleQuestion({ + question: currentInput, + isRetry: false, + index: undefined, + }); + } + } + }; + + useEffect(() => { + dispatch(resetConversation()); + return () => { + if (fetchStream.current) fetchStream.current.abort(); + handleAbort(); + dispatch(resetConversation()); + }; + }, [dispatch]); + + useEffect(() => { + if (queries.length > 0) { + const lastQuery = queries[queries.length - 1]; + setLastQueryReturnedErr(!!lastQuery.error); + } else setLastQueryReturnedErr(false); + }, [queries]); + return ( +
+
+
+ +
+
+ handleQuestionSubmission(text)} + loading={status === 'loading'} + showSourceButton={selectedAgent ? false : true} + showToolButton={selectedAgent ? false : true} + autoFocus={false} + /> +

+ This is a preview of the agent. You can publish it to start using it + in conversations. +

+
+
+
+ ); +} diff --git a/frontend/src/agents/NewAgent.tsx b/frontend/src/agents/NewAgent.tsx new file mode 100644 index 00000000..94a9fa35 --- /dev/null +++ b/frontend/src/agents/NewAgent.tsx @@ -0,0 +1,681 @@ +import React, { useCallback, useEffect, useRef, useState } from 'react'; +import { useDispatch, useSelector } from 'react-redux'; +import { useNavigate, useParams } from 'react-router-dom'; + +import userService from '../api/services/userService'; +import ArrowLeft from '../assets/arrow-left.svg'; +import SourceIcon from '../assets/source.svg'; +import Dropdown from '../components/Dropdown'; +import { FileUpload } from '../components/FileUpload'; +import MultiSelectPopup, { OptionType } from '../components/MultiSelectPopup'; +import AgentDetailsModal from '../modals/AgentDetailsModal'; +import ConfirmationModal from '../modals/ConfirmationModal'; +import { ActiveState, Doc, Prompt } from '../models/misc'; +import { + selectSelectedAgent, + selectSourceDocs, + selectToken, + setSelectedAgent, +} from '../preferences/preferenceSlice'; +import PromptsModal from '../preferences/PromptsModal'; +import { UserToolType } from '../settings/types'; +import AgentPreview from './AgentPreview'; +import { Agent } from './types'; + +const embeddingsName = + import.meta.env.VITE_EMBEDDINGS_NAME || + 'huggingface_sentence-transformers/all-mpnet-base-v2'; + +export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) { + const navigate = useNavigate(); + const dispatch = useDispatch(); + const { agentId } = useParams(); + + const token = useSelector(selectToken); + const sourceDocs = useSelector(selectSourceDocs); + const selectedAgent = useSelector(selectSelectedAgent); + + const [effectiveMode, setEffectiveMode] = useState(mode); + const [agent, setAgent] = useState({ + id: agentId || '', + name: '', + description: '', + image: '', + source: '', + chunks: '', + retriever: '', + prompt_id: '', + tools: [], + agent_type: '', + status: '', + }); + const [imageFile, setImageFile] = useState(null); + const [prompts, setPrompts] = useState< + { name: string; id: string; type: string }[] + >([]); + const [userTools, setUserTools] = useState([]); + const [isSourcePopupOpen, setIsSourcePopupOpen] = useState(false); + const [isToolsPopupOpen, setIsToolsPopupOpen] = useState(false); + const [selectedSourceIds, setSelectedSourceIds] = useState< + Set + >(new Set()); + const [selectedToolIds, setSelectedToolIds] = useState>( + new Set(), + ); + const [deleteConfirmation, setDeleteConfirmation] = + useState('INACTIVE'); + const [agentDetails, setAgentDetails] = useState('INACTIVE'); + const [addPromptModal, setAddPromptModal] = useState('INACTIVE'); + + const sourceAnchorButtonRef = useRef(null); + const toolAnchorButtonRef = useRef(null); + + const modeConfig = { + new: { + heading: 'New Agent', + buttonText: 'Create Agent', + showDelete: false, + showSaveDraft: true, + showLogs: false, + showAccessDetails: false, + }, + edit: { + heading: 'Edit Agent', + buttonText: 'Save Changes', + showDelete: true, + showSaveDraft: false, + showLogs: true, + showAccessDetails: true, + }, + draft: { + heading: 'New Agent (Draft)', + buttonText: 'Publish Draft', + showDelete: true, + showSaveDraft: true, + showLogs: false, + showAccessDetails: false, + }, + }; + const chunks = ['0', '2', '4', '6', '8', '10']; + const agentTypes = [ + { label: 'Classic', value: 'classic' }, + { label: 'ReAct', value: 'react' }, + ]; + + const isPublishable = () => { + return ( + agent.name && agent.description && agent.prompt_id && agent.agent_type + ); + }; + + const handleUpload = useCallback((files: File[]) => { + if (files && files.length > 0) { + const file = files[0]; + setImageFile(file); + } + }, []); + + const handleCancel = () => { + if (selectedAgent) dispatch(setSelectedAgent(null)); + navigate('/agents'); + }; + + const handleDelete = async (agentId: string) => { + const response = await userService.deleteAgent(agentId, token); + if (!response.ok) throw new Error('Failed to delete agent'); + navigate('/agents'); + }; + + const handleSaveDraft = async () => { + const formData = new FormData(); + formData.append('name', agent.name); + formData.append('description', agent.description); + formData.append('source', agent.source); + formData.append('chunks', agent.chunks); + formData.append('retriever', agent.retriever); + formData.append('prompt_id', agent.prompt_id); + formData.append('agent_type', agent.agent_type); + formData.append('status', 'draft'); + + if (imageFile) formData.append('image', imageFile); + + if (agent.tools && agent.tools.length > 0) + formData.append('tools', JSON.stringify(agent.tools)); + else formData.append('tools', '[]'); + + try { + const response = + effectiveMode === 'new' + ? await userService.createAgent(formData, token) + : await userService.updateAgent(agent.id || '', formData, token); + if (!response.ok) throw new Error('Failed to create agent draft'); + const data = await response.json(); + if (effectiveMode === 'new') { + setEffectiveMode('draft'); + setAgent((prev) => ({ + ...prev, + id: data.id, + image: data.image || prev.image, + })); + } + } catch (error) { + console.error('Error saving draft:', error); + throw new Error('Failed to save draft'); + } + }; + + const handlePublish = async () => { + const formData = new FormData(); + formData.append('name', agent.name); + formData.append('description', agent.description); + formData.append('source', agent.source); + formData.append('chunks', agent.chunks); + formData.append('retriever', agent.retriever); + formData.append('prompt_id', agent.prompt_id); + formData.append('agent_type', agent.agent_type); + formData.append('status', 'published'); + + if (imageFile) formData.append('image', imageFile); + if (agent.tools && agent.tools.length > 0) + formData.append('tools', JSON.stringify(agent.tools)); + else formData.append('tools', '[]'); + + try { + const response = + effectiveMode === 'new' + ? await userService.createAgent(formData, token) + : await userService.updateAgent(agent.id || '', formData, token); + if (!response.ok) throw new Error('Failed to publish agent'); + const data = await response.json(); + if (data.id) setAgent((prev) => ({ ...prev, id: data.id })); + if (data.key) setAgent((prev) => ({ ...prev, key: data.key })); + if (effectiveMode === 'new' || effectiveMode === 'draft') { + setEffectiveMode('edit'); + setAgent((prev) => ({ + ...prev, + status: 'published', + image: data.image || prev.image, + })); + setAgentDetails('ACTIVE'); + } + } catch (error) { + console.error('Error publishing agent:', error); + throw new Error('Failed to publish agent'); + } + }; + + useEffect(() => { + const getTools = async () => { + const response = await userService.getUserTools(token); + if (!response.ok) throw new Error('Failed to fetch tools'); + const data = await response.json(); + const tools: OptionType[] = data.tools.map((tool: UserToolType) => ({ + id: tool.id, + label: tool.displayName, + icon: `/toolIcons/tool_${tool.name}.svg`, + })); + setUserTools(tools); + }; + const getPrompts = async () => { + const response = await userService.getPrompts(token); + if (!response.ok) { + throw new Error('Failed to fetch prompts'); + } + const data = await response.json(); + setPrompts(data); + }; + getTools(); + getPrompts(); + }, [token]); + + useEffect(() => { + if ((mode === 'edit' || mode === 'draft') && agentId) { + const getAgent = async () => { + const response = await userService.getAgent(agentId, token); + if (!response.ok) { + navigate('/agents'); + throw new Error('Failed to fetch agent'); + } + const data = await response.json(); + if (data.source) setSelectedSourceIds(new Set([data.source])); + else if (data.retriever) + setSelectedSourceIds(new Set([data.retriever])); + if (data.tools) setSelectedToolIds(new Set(data.tools)); + if (data.status === 'draft') setEffectiveMode('draft'); + setAgent(data); + }; + getAgent(); + } + }, [agentId, mode, token]); + + useEffect(() => { + const selectedSource = Array.from(selectedSourceIds).map((id) => + sourceDocs?.find( + (source) => + source.id === id || source.retriever === id || source.name === id, + ), + ); + if (selectedSource[0]?.model === embeddingsName) { + if (selectedSource[0] && 'id' in selectedSource[0]) { + setAgent((prev) => ({ + ...prev, + source: selectedSource[0]?.id || 'default', + retriever: '', + })); + } else + setAgent((prev) => ({ + ...prev, + source: '', + retriever: selectedSource[0]?.retriever || 'classic', + })); + } + }, [selectedSourceIds]); + + useEffect(() => { + const selectedTool = Array.from(selectedToolIds).map((id) => + userTools.find((tool) => tool.id === id), + ); + setAgent((prev) => ({ + ...prev, + tools: selectedTool + .map((tool) => tool?.id) + .filter((id): id is string => typeof id === 'string'), + })); + }, [selectedToolIds]); + + useEffect(() => { + if (isPublishable()) dispatch(setSelectedAgent(agent)); + }, [agent, dispatch]); + return ( +
+
+ +

+ Back to all agents +

+
+
+

+ {modeConfig[effectiveMode].heading} +

+
+ + {modeConfig[effectiveMode].showDelete && agent.id && ( + + )} + {modeConfig[effectiveMode].showSaveDraft && ( + + )} + {modeConfig[effectiveMode].showAccessDetails && ( + + )} + {modeConfig[effectiveMode].showAccessDetails && ( + + )} + +
+
+
+
+
+

Meta

+ setAgent({ ...agent, name: e.target.value })} + /> + +
+
+ + {type === 'ADD' ? ( +
+ + +
+ ) : ( +
+ +
+ + +
+
+ )} +
+ ); + + return ( + <> + setModalState('INACTIVE')} + className="sm:w-[620px]" + > + {content} + + + {type === 'EDIT' && ( + { + /* no-op */ + } + } + submitLabel={t('modals.chunk.delete')} + /> + )} + + ); +} diff --git a/frontend/src/modals/ConfigToolModal.tsx b/frontend/src/modals/ConfigToolModal.tsx new file mode 100644 index 00000000..8d413a4a --- /dev/null +++ b/frontend/src/modals/ConfigToolModal.tsx @@ -0,0 +1,102 @@ +import React from 'react'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import Input from '../components/Input'; +import { ActiveState } from '../models/misc'; +import { selectToken } from '../preferences/preferenceSlice'; +import { AvailableToolType } from './types'; +import WrapperModal from './WrapperModal'; + +interface ConfigToolModalProps { + modalState: ActiveState; + setModalState: (state: ActiveState) => void; + tool: AvailableToolType | null; + getUserTools: () => void; +} + +export default function ConfigToolModal({ + modalState, + setModalState, + tool, + getUserTools, +}: ConfigToolModalProps) { + const { t } = useTranslation(); + const token = useSelector(selectToken); + const [authKey, setAuthKey] = React.useState(''); + const [customName, setCustomName] = React.useState(''); + + const handleAddTool = (tool: AvailableToolType) => { + userService + .createTool( + { + name: tool.name, + displayName: tool.displayName, + description: tool.description, + config: { token: authKey }, + customName: customName, + actions: tool.actions, + status: true, + }, + token, + ) + .then(() => { + setModalState('INACTIVE'); + getUserTools(); + }); + }; + + // Only render when modal is active + if (modalState !== 'ACTIVE') return null; + + return ( + setModalState('INACTIVE')}> +
+

+ {t('modals.configTool.title')} +

+

+ {t('modals.configTool.type')}:{' '} + {tool?.name} +

+
+ setCustomName(e.target.value)} + borderVariant="thin" + placeholder="Enter custom name (optional)" + labelBgClassName="bg-white dark:bg-charleston-green-2" + /> +
+
+ setAuthKey(e.target.value)} + borderVariant="thin" + placeholder={t('modals.configTool.apiKeyPlaceholder')} + labelBgClassName="bg-white dark:bg-charleston-green-2" + /> +
+
+ + +
+
+ + ); +} diff --git a/frontend/src/modals/ConfirmationModal.tsx b/frontend/src/modals/ConfirmationModal.tsx new file mode 100644 index 00000000..7ccfe048 --- /dev/null +++ b/frontend/src/modals/ConfirmationModal.tsx @@ -0,0 +1,70 @@ +import { useTranslation } from 'react-i18next'; + +import { ActiveState } from '../models/misc'; +import WrapperModal from './WrapperModal'; + +export default function ConfirmationModal({ + message, + modalState, + setModalState, + submitLabel, + handleSubmit, + cancelLabel, + handleCancel, + variant = 'default', +}: { + message: string; + modalState: ActiveState; + setModalState: (state: ActiveState) => void; + submitLabel: string; + handleSubmit: () => void; + cancelLabel?: string; + handleCancel?: () => void; + variant?: 'default' | 'danger'; +}) { + const { t } = useTranslation(); + + const submitButtonClasses = + variant === 'danger' + ? 'rounded-3xl bg-rosso-corsa px-5 py-2 text-sm text-lotion transition-all hover:bg-red-2000 hover:font-bold tracking-[0.019em] hover:tracking-normal' + : 'rounded-3xl bg-purple-30 px-5 py-2 text-sm text-lotion transition-all hover:bg-violets-are-blue'; + + return ( + <> + {modalState === 'ACTIVE' && ( + setModalState('INACTIVE')}> +
+
+

+ {message} +

+
+
+ + +
+
+
+
+ + )} + + ); +} diff --git a/frontend/src/modals/CreateAPIKeyModal.tsx b/frontend/src/modals/CreateAPIKeyModal.tsx new file mode 100644 index 00000000..cb176e98 --- /dev/null +++ b/frontend/src/modals/CreateAPIKeyModal.tsx @@ -0,0 +1,155 @@ +import React from 'react'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import Dropdown from '../components/Dropdown'; +import Input from '../components/Input'; +import { CreateAPIKeyModalProps, Doc } from '../models/misc'; +import { selectSourceDocs, selectToken } from '../preferences/preferenceSlice'; +import WrapperModal from './WrapperModal'; + +const embeddingsName = + import.meta.env.VITE_EMBEDDINGS_NAME || + 'huggingface_sentence-transformers/all-mpnet-base-v2'; + +export default function CreateAPIKeyModal({ + close, + createAPIKey, +}: CreateAPIKeyModalProps) { + const { t } = useTranslation(); + const token = useSelector(selectToken); + const docs = useSelector(selectSourceDocs); + + const [APIKeyName, setAPIKeyName] = React.useState(''); + const [sourcePath, setSourcePath] = React.useState<{ + name: string; + id: string; + type: string; + } | null>(null); + const [prompt, setPrompt] = React.useState<{ + name: string; + id: string; + type: string; + } | null>(null); + const [activePrompts, setActivePrompts] = React.useState< + { name: string; id: string; type: string }[] + >([]); + const [chunk, setChunk] = React.useState('2'); + const chunkOptions = ['0', '2', '4', '6', '8', '10']; + + const extractDocPaths = () => + docs + ? docs + .filter((doc) => doc.model === embeddingsName) + .map((doc: Doc) => { + if ('id' in doc) { + return { + name: doc.name, + id: doc.id as string, + type: 'local', + }; + } + return { + name: doc.name, + id: doc.id ?? 'default', + type: doc.type ?? 'default', + }; + }) + : []; + + React.useEffect(() => { + const handleFetchPrompts = async () => { + try { + const response = await userService.getPrompts(token); + if (!response.ok) { + throw new Error('Failed to fetch prompts'); + } + const promptsData = await response.json(); + setActivePrompts(promptsData); + } catch (error) { + console.error(error); + } + }; + handleFetchPrompts(); + }, []); + return ( + +
+ + {t('modals.createAPIKey.label')} + +
+
+ setAPIKeyName(e.target.value)} + borderVariant="thin" + labelBgClassName="bg-white dark:bg-charleston-green-2" + > +
+
+ { + setSourcePath(selection); + }} + options={extractDocPaths()} + size="w-full" + rounded="xl" + border="border" + /> +
+
+ + setPrompt(value) + } + size="w-full" + border="border" + /> +
+
+

+ {t('modals.createAPIKey.chunks')} +

+ setChunk(value)} + size="w-full" + border="border" + /> +
+ + + ); +} diff --git a/frontend/src/modals/DeleteConvModal.tsx b/frontend/src/modals/DeleteConvModal.tsx new file mode 100644 index 00000000..630300ad --- /dev/null +++ b/frontend/src/modals/DeleteConvModal.tsx @@ -0,0 +1,48 @@ +import React from 'react'; +import { useDispatch } from 'react-redux'; +import { ActiveState } from '../models/misc'; +import { useMediaQuery, useOutsideAlerter } from '../hooks'; +import ConfirmationModal from './ConfirmationModal'; +import { useTranslation } from 'react-i18next'; +import { Action } from '@reduxjs/toolkit'; + +export default function DeleteConvModal({ + modalState, + setModalState, + handleDeleteAllConv, +}: { + modalState: ActiveState; + setModalState: (val: ActiveState) => Action; + handleDeleteAllConv: () => void; +}) { + const modalRef = React.useRef(null); + const dispatch = useDispatch(); + const { isMobile } = useMediaQuery(); + const { t } = useTranslation(); + useOutsideAlerter(modalRef, () => { + if (isMobile && modalState === 'ACTIVE') { + dispatch(setModalState('INACTIVE')); + } + }, [modalState]); + + function handleSubmit() { + handleDeleteAllConv(); + dispatch(setModalState('INACTIVE')); + } + + function handleCancel() { + dispatch(setModalState('INACTIVE')); + } + + return ( + + ); +} diff --git a/frontend/src/modals/JWTModal.tsx b/frontend/src/modals/JWTModal.tsx new file mode 100644 index 00000000..79f012dc --- /dev/null +++ b/frontend/src/modals/JWTModal.tsx @@ -0,0 +1,50 @@ +import React, { useState } from 'react'; + +import Input from '../components/Input'; +import { ActiveState } from '../models/misc'; +import WrapperModal from './WrapperModal'; + +type JWTModalProps = { + modalState: ActiveState; + handleTokenSubmit: (enteredToken: string) => void; +}; + +export default function JWTModal({ + modalState, + handleTokenSubmit, +}: JWTModalProps) { + const [jwtToken, setJwtToken] = useState(''); + + if (modalState !== 'ACTIVE') return null; + + return ( + undefined} + > +
+ + Add JWT Token + +
+
+ setJwtToken(e.target.value)} + borderVariant="thin" + /> +
+ + + ); +} diff --git a/frontend/src/modals/SaveAPIKeyModal.tsx b/frontend/src/modals/SaveAPIKeyModal.tsx new file mode 100644 index 00000000..1e589a18 --- /dev/null +++ b/frontend/src/modals/SaveAPIKeyModal.tsx @@ -0,0 +1,51 @@ +import React from 'react'; +import { useTranslation } from 'react-i18next'; + +import { SaveAPIKeyModalProps } from '../models/misc'; +import WrapperModal from './WrapperModal'; + +export default function SaveAPIKeyModal({ + apiKey, + close, +}: SaveAPIKeyModalProps) { + const { t } = useTranslation(); + const [isCopied, setIsCopied] = React.useState(false); + + const handleCopyKey = () => { + navigator.clipboard.writeText(apiKey); + setIsCopied(true); + }; + + return ( + +

+ {t('modals.saveKey.note')} +

+

+ {t('modals.saveKey.disclaimer')} +

+
+
+

+ API Key +

+ + {apiKey} + +
+ +
+ + + ); +} diff --git a/frontend/src/modals/ShareConversationModal.tsx b/frontend/src/modals/ShareConversationModal.tsx new file mode 100644 index 00000000..99262f01 --- /dev/null +++ b/frontend/src/modals/ShareConversationModal.tsx @@ -0,0 +1,169 @@ +import { useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import conversationService from '../api/services/conversationService'; +import Spinner from '../assets/spinner.svg'; +import Dropdown from '../components/Dropdown'; +import ToggleSwitch from '../components/ToggleSwitch'; +import { Doc } from '../models/misc'; +import { + selectChunks, + selectPrompt, + selectSelectedDocs, + selectSourceDocs, + selectToken, +} from '../preferences/preferenceSlice'; +import WrapperModal from './WrapperModal'; + +const apiHost = import.meta.env.VITE_API_HOST || 'https://docsapi.arc53.com'; +const embeddingsName = + import.meta.env.VITE_EMBEDDINGS_NAME || + 'huggingface_sentence-transformers/all-mpnet-base-v2'; + +type StatusType = 'loading' | 'idle' | 'fetched' | 'failed'; + +export const ShareConversationModal = ({ + close, + conversationId, +}: { + close: () => void; + conversationId: string; +}) => { + const { t } = useTranslation(); + const token = useSelector(selectToken); + + const domain = window.location.origin; + + const [identifier, setIdentifier] = useState(null); + const [isCopied, setIsCopied] = useState(false); + const [status, setStatus] = useState('idle'); + const [allowPrompt, setAllowPrompt] = useState(false); + + const sourceDocs = useSelector(selectSourceDocs); + const preSelectedDoc = useSelector(selectSelectedDocs); + const selectedPrompt = useSelector(selectPrompt); + const selectedChunk = useSelector(selectChunks); + + const extractDocPaths = (docs: Doc[]) => + docs + ? docs + .filter((doc) => doc.model === embeddingsName) + .map((doc: Doc) => { + return { + label: doc.name, + value: doc.id ?? 'default', + }; + }) + : []; + + const [sourcePath, setSourcePath] = useState<{ + label: string; + value: string; + } | null>(preSelectedDoc ? extractDocPaths([preSelectedDoc])[0] : null); + + const handleCopyKey = (url: string) => { + navigator.clipboard.writeText(url); + setIsCopied(true); + }; + + const togglePromptPermission = () => { + setAllowPrompt(!allowPrompt); + setStatus('idle'); + setIdentifier(null); + }; + + const shareCoversationPublicly: (isPromptable: boolean) => void = ( + isPromptable = false, + ) => { + setStatus('loading'); + const payload: { + conversation_id: string; + chunks?: string; + prompt_id?: string; + source?: string; + } = { conversation_id: conversationId }; + if (isPromptable) { + payload.chunks = selectedChunk; + payload.prompt_id = selectedPrompt.id; + sourcePath && (payload.source = sourcePath.value); + } + conversationService + .shareConversation(isPromptable, payload, token) + .then((res) => { + return res.json(); + }) + .then((data) => { + if (data.success && data.identifier) { + setIdentifier(data.identifier); + setStatus('fetched'); + } else setStatus('failed'); + }) + .catch((err) => setStatus('failed')); + }; + + return ( + +
+

+ {t('modals.shareConv.label')} +

+

+ {t('modals.shareConv.note')} +

+
+ + {t('modals.shareConv.option')} + + +
+ {allowPrompt && ( +
+ + setSourcePath(selection) + } + options={extractDocPaths(sourceDocs ?? [])} + size="w-full" + rounded="xl" + /> +
+ )} +
+ + {`${domain}/share/${identifier ?? '....'}`} + + {status === 'fetched' ? ( + + ) : ( + + )} +
+
+ + ); +}; diff --git a/frontend/src/modals/WrapperModal.tsx b/frontend/src/modals/WrapperModal.tsx new file mode 100644 index 00000000..d2ab8e4f --- /dev/null +++ b/frontend/src/modals/WrapperModal.tsx @@ -0,0 +1,69 @@ +import React, { useEffect, useRef } from 'react'; +import { createPortal } from 'react-dom'; + +import Exit from '../assets/exit.svg'; + +interface WrapperModalPropsType { + children: React.ReactNode; + close: () => void; + isPerformingTask?: boolean; + className?: string; + contentClassName?: string; +} + +export default function WrapperModal({ + children, + close, + isPerformingTask = false, + className = '', // Default width, but can be overridden + contentClassName = '', // Default padding, but can be overridden +}: WrapperModalPropsType) { + const modalRef = useRef(null); + + useEffect(() => { + if (isPerformingTask) return; + const handleClickOutside = (event: MouseEvent) => { + if ( + modalRef.current && + !modalRef.current.contains(event.target as Node) + ) { + close(); + } + }; + + const handleEscapePress = (event: KeyboardEvent) => { + if (event.key === 'Escape') { + close(); + } + }; + + document.addEventListener('mousedown', handleClickOutside); + document.addEventListener('keydown', handleEscapePress); + + return () => { + document.removeEventListener('mousedown', handleClickOutside); + document.removeEventListener('keydown', handleEscapePress); + }; + }, [close]); + + const modalContent = ( +
+
+ {!isPerformingTask && ( + + )} +
{children}
+
+
+ ); + + return createPortal(modalContent, document.body); +} diff --git a/frontend/src/modals/types/index.ts b/frontend/src/modals/types/index.ts new file mode 100644 index 00000000..0e3c76ab --- /dev/null +++ b/frontend/src/modals/types/index.ts @@ -0,0 +1,18 @@ +export type AvailableToolType = { + name: string; + displayName: string; + description: string; + configRequirements: object; + actions: { + name: string; + description: string; + parameters: object; + }[]; +}; + +export type WrapperModalPropsType = { + children?: React.ReactNode; + isPerformingTask?: boolean; + close: () => void; + className?: string; +}; diff --git a/frontend/src/models/misc.ts b/frontend/src/models/misc.ts new file mode 100644 index 00000000..57e100f3 --- /dev/null +++ b/frontend/src/models/misc.ts @@ -0,0 +1,55 @@ +export type ActiveState = 'ACTIVE' | 'INACTIVE'; + +export type User = { + avatar: string; +}; +export type Doc = { + id?: string; + name: string; + date: string; + model: string; + tokens?: string; + type?: string; + retriever?: string; + syncFrequency?: string; +}; + +export type GetDocsResponse = { + docs: Doc[]; + totalDocuments: number; + totalPages: number; + nextCursor: string; +}; + +export type Prompt = { + name: string; + id: string; + type: string; +}; + +export type PromptProps = { + prompts: { name: string; id: string; type: string }[]; + selectedPrompt: { name: string; id: string; type: string }; + onSelectPrompt: (name: string, id: string, type: string) => void; + setPrompts: (prompts: { name: string; id: string; type: string }[]) => void; +}; + +export type DocumentsProps = { + paginatedDocuments: Doc[] | null; + handleDeleteDocument: (index: number, document: Doc) => void; +}; + +export type CreateAPIKeyModalProps = { + close: () => void; + createAPIKey: (payload: { + name: string; + source: string; + prompt_id: string; + chunks: string; + }) => void; +}; + +export type SaveAPIKeyModalProps = { + apiKey: string; + close: () => void; +}; diff --git a/frontend/src/preferences/PromptsModal.tsx b/frontend/src/preferences/PromptsModal.tsx new file mode 100644 index 00000000..14e05e86 --- /dev/null +++ b/frontend/src/preferences/PromptsModal.tsx @@ -0,0 +1,280 @@ +import { ActiveState } from '../models/misc'; +import Input from '../components/Input'; +import React from 'react'; +import { useTranslation } from 'react-i18next'; +import WrapperModal from '../modals/WrapperModal'; + +function AddPrompt({ + setModalState, + handleAddPrompt, + newPromptName, + setNewPromptName, + newPromptContent, + setNewPromptContent, + disableSave, +}: { + setModalState: (state: ActiveState) => void; + handleAddPrompt?: () => void; + newPromptName: string; + setNewPromptName: (name: string) => void; + newPromptContent: string; + setNewPromptContent: (content: string) => void; + disableSave: boolean; +}) { + const { t } = useTranslation(); + + return ( +
+

+ {t('modals.prompts.addPrompt')} +

+

+ {t('modals.prompts.addDescription')} +

+
+ setNewPromptName(e.target.value)} + labelBgClassName="bg-white dark:bg-[#26272E]" + borderVariant="thin" + /> +
+ + {t('modals.prompts.promptText')} + +
+ + +
+
+ +
+
+ ); +} + +function EditPrompt({ + setModalState, + handleEditPrompt, + editPromptName, + setEditPromptName, + editPromptContent, + setEditPromptContent, + currentPromptEdit, + disableSave, +}: { + setModalState: (state: ActiveState) => void; + handleEditPrompt?: (id: string, type: string) => void; + editPromptName: string; + setEditPromptName: (name: string) => void; + editPromptContent: string; + setEditPromptContent: (content: string) => void; + currentPromptEdit: { name: string; id: string; type: string }; + disableSave: boolean; +}) { + const { t } = useTranslation(); + + return ( +
+
+

+ {t('modals.prompts.editPrompt')} +

+

+ {t('modals.prompts.editDescription')} +

+
+ setEditPromptName(e.target.value)} + labelBgClassName="bg-white dark:bg-charleston-green-2" + borderVariant="thin" + /> +
+ + {t('modals.prompts.promptText')} + +
+ + +
+
+ +
+
+
+ ); +} + +export default function PromptsModal({ + existingPrompts, + modalState, + setModalState, + type, + newPromptName, + setNewPromptName, + newPromptContent, + setNewPromptContent, + editPromptName, + setEditPromptName, + editPromptContent, + setEditPromptContent, + currentPromptEdit, + handleAddPrompt, + handleEditPrompt, +}: { + existingPrompts: { name: string; id: string; type: string }[]; + modalState: ActiveState; + setModalState: (state: ActiveState) => void; + type: 'ADD' | 'EDIT'; + newPromptName: string; + setNewPromptName: (name: string) => void; + newPromptContent: string; + setNewPromptContent: (content: string) => void; + editPromptName: string; + setEditPromptName: (name: string) => void; + editPromptContent: string; + setEditPromptContent: (content: string) => void; + currentPromptEdit: { + name: string; + id: string; + type: string; + content?: string; + }; + handleAddPrompt?: () => void; + handleEditPrompt?: (id: string, type: string) => void; +}) { + const [disableSave, setDisableSave] = React.useState(true); + const handlePromptNameChange = (edit: boolean, newName: string) => { + if (edit) { + const nameExists = existingPrompts.find( + (prompt) => + newName === prompt.name && prompt.id !== currentPromptEdit.id, + ); + const nameValid = newName && !nameExists; + const contentChanged = editPromptContent !== currentPromptEdit.content; + + setDisableSave(!(nameValid || contentChanged)); + setEditPromptName(newName); + } else { + const nameExists = existingPrompts.find( + (prompt) => newName === prompt.name, + ); + setDisableSave(!(newName && !nameExists)); + setNewPromptName(newName); + } + }; + + const handleContentChange = (edit: boolean, newContent: string) => { + if (edit) { + const contentChanged = newContent !== currentPromptEdit.content; + const nameValid = + editPromptName && + !existingPrompts.find( + (prompt) => + editPromptName === prompt.name && + prompt.id !== currentPromptEdit.id, + ); + + setDisableSave(!(nameValid || contentChanged)); + setEditPromptContent(newContent); + } else { + setNewPromptContent(newContent); + } + }; + + let view; + + if (type === 'ADD') { + view = ( + + ); + } else if (type === 'EDIT') { + view = ( + + ); + } else { + view = <>; + } + + return modalState === 'ACTIVE' ? ( + { + setModalState('INACTIVE'); + if (type === 'ADD') { + setNewPromptName(''); + setNewPromptContent(''); + } + }} + className="mt-24 sm:w-[512px]" + > + {view} + + ) : null; +} diff --git a/frontend/src/preferences/preferenceApi.ts b/frontend/src/preferences/preferenceApi.ts new file mode 100644 index 00000000..7fb907b3 --- /dev/null +++ b/frontend/src/preferences/preferenceApi.ts @@ -0,0 +1,126 @@ +import conversationService from '../api/services/conversationService'; +import userService from '../api/services/userService'; +import { Doc, GetDocsResponse } from '../models/misc'; +import { GetConversationsResult, ConversationSummary } from './types'; + +//Fetches all JSON objects from the source. We only use the objects with the "model" property in SelectDocsModal.tsx. Hopefully can clean up the source file later. +export async function getDocs(token: string | null): Promise { + try { + const response = await userService.getDocs(token); + const data = await response.json(); + + const docs: Doc[] = []; + data.forEach((doc: object) => { + docs.push(doc as Doc); + }); + + return docs; + } catch (error) { + console.log(error); + return null; + } +} + +export async function getDocsWithPagination( + sort = 'date', + order = 'desc', + pageNumber = 1, + rowsPerPage = 10, + searchTerm = '', + token: string | null, +): Promise { + try { + const query = `sort=${sort}&order=${order}&page=${pageNumber}&rows=${rowsPerPage}&search=${searchTerm}`; + const response = await userService.getDocsWithPagination(query, token); + const data = await response.json(); + const docs: Doc[] = []; + Array.isArray(data.paginated) && + data.paginated.forEach((doc: Doc) => { + docs.push(doc as Doc); + }); + return { + docs: docs, + totalDocuments: data.total, + totalPages: data.totalPages, + nextCursor: data.nextCursor, + }; + } catch (error) { + console.log(error); + return null; + } +} + +export async function getConversations( + token: string | null, +): Promise { + try { + const response = await conversationService.getConversations(token); + + if (!response.ok) { + console.error('Error fetching conversations:', response.statusText); + return { data: null, loading: false }; + } + + const rawData: unknown = await response.json(); + if (!Array.isArray(rawData)) { + console.error( + 'Invalid data format received from API: Expected an array.', + rawData, + ); + return { data: null, loading: false }; + } + + const conversations: ConversationSummary[] = rawData.map((item: any) => ({ + id: item.id, + name: item.name, + agent_id: item.agent_id ?? null, + })); + return { data: conversations, loading: false }; + } catch (error) { + console.error( + 'An unexpected error occurred while fetching conversations:', + error, + ); + return { data: null, loading: false }; + } +} + +export function getLocalApiKey(): string | null { + const key = localStorage.getItem('DocsGPTApiKey'); + return key; +} + +export function getLocalRecentDocs(): string | null { + const doc = localStorage.getItem('DocsGPTRecentDocs'); + return doc; +} + +export function getLocalPrompt(): string | null { + const prompt = localStorage.getItem('DocsGPTPrompt'); + return prompt; +} + +export function setLocalApiKey(key: string): void { + localStorage.setItem('DocsGPTApiKey', key); +} + +export function setLocalPrompt(prompt: string): void { + localStorage.setItem('DocsGPTPrompt', prompt); +} + +export function setLocalRecentDocs(doc: Doc | null): void { + localStorage.setItem('DocsGPTRecentDocs', JSON.stringify(doc)); + + let docPath = 'default'; + if (doc?.type === 'local') { + docPath = 'local' + '/' + doc.name + '/'; + } + userService + .checkDocs( + { + docs: docPath, + }, + null, + ) + .then((response) => response.json()); +} diff --git a/frontend/src/preferences/preferenceSlice.ts b/frontend/src/preferences/preferenceSlice.ts new file mode 100644 index 00000000..a0825039 --- /dev/null +++ b/frontend/src/preferences/preferenceSlice.ts @@ -0,0 +1,197 @@ +import { + createListenerMiddleware, + createSlice, + isAnyOf, + PayloadAction, +} from '@reduxjs/toolkit'; + +import { Agent } from '../agents/types'; +import { ActiveState, Doc } from '../models/misc'; +import { RootState } from '../store'; +import { setLocalApiKey, setLocalRecentDocs } from './preferenceApi'; + +export interface Preference { + apiKey: string; + prompt: { name: string; id: string; type: string }; + chunks: string; + token_limit: number; + selectedDocs: Doc | null; + sourceDocs: Doc[] | null; + conversations: { + data: { name: string; id: string }[] | null; + loading: boolean; + }; + token: string | null; + modalState: ActiveState; + paginatedDocuments: Doc[] | null; + agents: Agent[] | null; + sharedAgents: Agent[] | null; + selectedAgent: Agent | null; +} + +const initialState: Preference = { + apiKey: 'xxx', + prompt: { name: 'default', id: 'default', type: 'public' }, + chunks: '2', + token_limit: 2000, + selectedDocs: { + id: 'default', + name: 'default', + type: 'remote', + date: 'default', + docLink: 'default', + model: 'openai_text-embedding-ada-002', + retriever: 'classic', + } as Doc, + sourceDocs: null, + conversations: { + data: null, + loading: false, + }, + token: localStorage.getItem('authToken') || null, + modalState: 'INACTIVE', + paginatedDocuments: null, + agents: null, + sharedAgents: null, + selectedAgent: null, +}; + +export const prefSlice = createSlice({ + name: 'preference', + initialState, + reducers: { + setApiKey: (state, action) => { + state.apiKey = action.payload; + }, + setSelectedDocs: (state, action) => { + state.selectedDocs = action.payload; + }, + setSourceDocs: (state, action) => { + state.sourceDocs = action.payload; + }, + setPaginatedDocuments: (state, action) => { + state.paginatedDocuments = action.payload; + }, + setConversations: (state, action) => { + state.conversations = action.payload; + }, + setToken: (state, action) => { + state.token = action.payload; + }, + setPrompt: (state, action) => { + state.prompt = action.payload; + }, + setChunks: (state, action) => { + state.chunks = action.payload; + }, + setTokenLimit: (state, action) => { + state.token_limit = action.payload; + }, + setModalStateDeleteConv: (state, action: PayloadAction) => { + state.modalState = action.payload; + }, + setAgents: (state, action) => { + state.agents = action.payload; + }, + setSharedAgents: (state, action) => { + state.sharedAgents = action.payload; + }, + setSelectedAgent: (state, action) => { + state.selectedAgent = action.payload; + }, + }, +}); + +export const { + setApiKey, + setSelectedDocs, + setSourceDocs, + setConversations, + setToken, + setPrompt, + setChunks, + setTokenLimit, + setModalStateDeleteConv, + setPaginatedDocuments, + setAgents, + setSharedAgents, + setSelectedAgent, +} = prefSlice.actions; +export default prefSlice.reducer; + +export const prefListenerMiddleware = createListenerMiddleware(); +prefListenerMiddleware.startListening({ + matcher: isAnyOf(setApiKey), + effect: (action, listenerApi) => { + setLocalApiKey((listenerApi.getState() as RootState).preference.apiKey); + }, +}); + +prefListenerMiddleware.startListening({ + matcher: isAnyOf(setSelectedDocs), + effect: (action, listenerApi) => { + setLocalRecentDocs( + (listenerApi.getState() as RootState).preference.selectedDocs ?? null, + ); + }, +}); + +prefListenerMiddleware.startListening({ + matcher: isAnyOf(setPrompt), + effect: (action, listenerApi) => { + localStorage.setItem( + 'DocsGPTPrompt', + JSON.stringify((listenerApi.getState() as RootState).preference.prompt), + ); + }, +}); + +prefListenerMiddleware.startListening({ + matcher: isAnyOf(setChunks), + effect: (action, listenerApi) => { + localStorage.setItem( + 'DocsGPTChunks', + JSON.stringify((listenerApi.getState() as RootState).preference.chunks), + ); + }, +}); + +prefListenerMiddleware.startListening({ + matcher: isAnyOf(setTokenLimit), + effect: (action, listenerApi) => { + localStorage.setItem( + 'DocsGPTTokenLimit', + JSON.stringify( + (listenerApi.getState() as RootState).preference.token_limit, + ), + ); + }, +}); + +export const selectApiKey = (state: RootState) => state.preference.apiKey; +export const selectApiKeyStatus = (state: RootState) => + !!state.preference.apiKey; +export const selectSelectedDocsStatus = (state: RootState) => + !!state.preference.selectedDocs; +export const selectSourceDocs = (state: RootState) => + state.preference.sourceDocs; +export const selectModalStateDeleteConv = (state: RootState) => + state.preference.modalState; +export const selectSelectedDocs = (state: RootState) => + state.preference.selectedDocs; +export const selectConversations = (state: RootState) => + state.preference.conversations; +export const selectConversationId = (state: RootState) => + state.conversation.conversationId; +export const selectToken = (state: RootState) => state.preference.token; +export const selectPrompt = (state: RootState) => state.preference.prompt; +export const selectChunks = (state: RootState) => state.preference.chunks; +export const selectTokenLimit = (state: RootState) => + state.preference.token_limit; +export const selectPaginatedDocuments = (state: RootState) => + state.preference.paginatedDocuments; +export const selectAgents = (state: RootState) => state.preference.agents; +export const selectSharedAgents = (state: RootState) => + state.preference.sharedAgents; +export const selectSelectedAgent = (state: RootState) => + state.preference.selectedAgent; diff --git a/frontend/src/preferences/types/index.ts b/frontend/src/preferences/types/index.ts new file mode 100644 index 00000000..ae7757c7 --- /dev/null +++ b/frontend/src/preferences/types/index.ts @@ -0,0 +1,10 @@ +export type ConversationSummary = { + id: string; + name: string; + agent_id: string | null; +}; + +export type GetConversationsResult = { + data: ConversationSummary[] | null; + loading: boolean; +}; diff --git a/frontend/src/settings/APIKeys.tsx b/frontend/src/settings/APIKeys.tsx new file mode 100644 index 00000000..4e6192c7 --- /dev/null +++ b/frontend/src/settings/APIKeys.tsx @@ -0,0 +1,233 @@ +import React, { useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import Trash from '../assets/trash.svg'; +import SkeletonLoader from '../components/SkeletonLoader'; +import { useLoaderState } from '../hooks'; +import ConfirmationModal from '../modals/ConfirmationModal'; +import CreateAPIKeyModal from '../modals/CreateAPIKeyModal'; +import SaveAPIKeyModal from '../modals/SaveAPIKeyModal'; +import { selectToken } from '../preferences/preferenceSlice'; +import { APIKeyData } from './types'; + +export default function APIKeys() { + const { t } = useTranslation(); + const token = useSelector(selectToken); + const [isCreateModalOpen, setCreateModal] = useState(false); + const [isSaveKeyModalOpen, setSaveKeyModal] = useState(false); + const [newKey, setNewKey] = useState(''); + const [apiKeys, setApiKeys] = useState([]); + const [loading, setLoading] = useLoaderState(true); + const [keyToDelete, setKeyToDelete] = useState<{ + id: string; + name: string; + } | null>(null); + + const handleFetchKeys = async () => { + setLoading(true); + try { + const response = await userService.getAPIKeys(token); + if (!response.ok) { + throw new Error('Failed to fetch API Keys'); + } + const apiKeys = await response.json(); + setApiKeys(apiKeys); + } catch (error) { + console.log(error); + } finally { + setLoading(false); + } + }; + + const handleDeleteKey = (id: string) => { + setLoading(true); + userService + .deleteAPIKey({ id }, token) + .then((response) => { + if (!response.ok) { + throw new Error('Failed to delete API Key'); + } + return response.json(); + }) + .then((data) => { + if (data.success === true) { + setApiKeys((previous) => previous.filter((elem) => elem.id !== id)); + } + setKeyToDelete(null); + }) + .catch((error) => { + console.error(error); + }) + .finally(() => { + setLoading(false); + }); + }; + + const handleCreateKey = (payload: { + name: string; + source?: string; + retriever?: string; + prompt_id: string; + chunks: string; + }) => { + setLoading(true); + userService + .createAPIKey(payload, token) + .then((response) => { + if (!response.ok) { + throw new Error('Failed to create API Key'); + } + return response.json(); + }) + .then((data) => { + setApiKeys([...apiKeys, data]); + setCreateModal(false); + setNewKey(data.key); + setSaveKeyModal(true); + handleFetchKeys(); + }) + .catch((error) => { + console.error(error); + }) + .finally(() => { + setLoading(false); + }); + }; + + React.useEffect(() => { + handleFetchKeys(); + }, []); + + return ( +
+
+
+

+ {t('settings.apiKeys.description')} +

+
+ +
+ +
+ +
+
+
+ + + + + + + + + + + {loading ? ( + + ) : !apiKeys?.length ? ( + + + + ) : ( + Array.isArray(apiKeys) && + apiKeys.map((element) => ( + + + + + + + )) + )} + +
+ {t('settings.apiKeys.name')} + + {t('settings.apiKeys.sourceDoc')} + + + {t('settings.apiKeys.key')} + + + {t('settings.apiKeys.key')} + + + Actions +
+ {t('settings.apiKeys.noData')} +
+
+ {element.name} +
+ 		+
+ {element.source} +
+ 		+
+ {element.key} +
+ 		+
+ +
+
+
+
+
+
+ {isCreateModalOpen && ( + setCreateModal(false)} + /> + )} + {isSaveKeyModalOpen && ( + setSaveKeyModal(false)} /> + )} + {keyToDelete && ( + setKeyToDelete(null)} + submitLabel={t('modals.deleteConv.delete')} + handleSubmit={() => handleDeleteKey(keyToDelete.id)} + handleCancel={() => setKeyToDelete(null)} + variant="danger" + /> + )} +
+ ); +} diff --git a/frontend/src/settings/Analytics.tsx b/frontend/src/settings/Analytics.tsx new file mode 100644 index 00000000..7af228cd --- /dev/null +++ b/frontend/src/settings/Analytics.tsx @@ -0,0 +1,403 @@ +import { + BarElement, + CategoryScale, + Chart as ChartJS, + Legend, + LinearScale, + Title, + Tooltip, +} from 'chart.js'; +import { useEffect, useState } from 'react'; +import { Bar } from 'react-chartjs-2'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import Dropdown from '../components/Dropdown'; +import SkeletonLoader from '../components/SkeletonLoader'; +import { useLoaderState } from '../hooks'; +import { selectToken } from '../preferences/preferenceSlice'; +import { htmlLegendPlugin } from '../utils/chartUtils'; +import { formatDate } from '../utils/dateTimeUtils'; + +import type { ChartData } from 'chart.js'; +ChartJS.register( + CategoryScale, + LinearScale, + BarElement, + Title, + Tooltip, + Legend, +); + +type AnalyticsProps = { + agentId?: string; +}; + +export default function Analytics({ agentId }: AnalyticsProps) { + const { t } = useTranslation(); + const token = useSelector(selectToken); + + const filterOptions = [ + { label: t('settings.analytics.filterOptions.hour'), value: 'last_hour' }, + { + label: t('settings.analytics.filterOptions.last24Hours'), + value: 'last_24_hour', + }, + { + label: t('settings.analytics.filterOptions.last7Days'), + value: 'last_7_days', + }, + { + label: t('settings.analytics.filterOptions.last15Days'), + value: 'last_15_days', + }, + { + label: t('settings.analytics.filterOptions.last30Days'), + value: 'last_30_days', + }, + ]; + + const [messagesData, setMessagesData] = useState | null>(null); + const [tokenUsageData, setTokenUsageData] = useState | null>(null); + const [feedbackData, setFeedbackData] = useState | null>(null); + const [messagesFilter, setMessagesFilter] = useState<{ + label: string; + value: string; + }>({ + label: t('settings.analytics.filterOptions.last30Days'), + value: 'last_30_days', + }); + const [tokenUsageFilter, setTokenUsageFilter] = useState<{ + label: string; + value: string; + }>({ + label: t('settings.analytics.filterOptions.last30Days'), + value: 'last_30_days', + }); + const [feedbackFilter, setFeedbackFilter] = useState<{ + label: string; + value: string; + }>({ + label: t('settings.analytics.filterOptions.last30Days'), + value: 'last_30_days', + }); + + const [loadingMessages, setLoadingMessages] = useLoaderState(true); + const [loadingTokens, setLoadingTokens] = useLoaderState(true); + const [loadingFeedback, setLoadingFeedback] = useLoaderState(true); + + const fetchMessagesData = async (agent_id?: string, filter?: string) => { + setLoadingMessages(true); + try { + const response = await userService.getMessageAnalytics( + { + api_key_id: agent_id, + filter_option: filter, + }, + token, + ); + if (!response.ok) throw new Error('Failed to fetch analytics data'); + const data = await response.json(); + setMessagesData(data.messages); + } catch (error) { + console.error(error); + } finally { + setLoadingMessages(false); + } + }; + + const fetchTokenData = async (agent_id?: string, filter?: string) => { + setLoadingTokens(true); + try { + const response = await userService.getTokenAnalytics( + { + api_key_id: agent_id, + filter_option: filter, + }, + token, + ); + if (!response.ok) throw new Error('Failed to fetch analytics data'); + const data = await response.json(); + setTokenUsageData(data.token_usage); + } catch (error) { + console.error(error); + } finally { + setLoadingTokens(false); + } + }; + + const fetchFeedbackData = async (agent_id?: string, filter?: string) => { + setLoadingFeedback(true); + try { + const response = await userService.getFeedbackAnalytics( + { + api_key_id: agent_id, + filter_option: filter, + }, + token, + ); + if (!response.ok) throw new Error('Failed to fetch analytics data'); + const data = await response.json(); + setFeedbackData(data.feedback); + } catch (error) { + console.error(error); + } finally { + setLoadingFeedback(false); + } + }; + + useEffect(() => { + const id = agentId; + const filter = messagesFilter; + fetchMessagesData(id, filter?.value); + }, [agentId, messagesFilter]); + + useEffect(() => { + const id = agentId; + const filter = tokenUsageFilter; + fetchTokenData(id, filter?.value); + }, [agentId, tokenUsageFilter]); + + useEffect(() => { + const id = agentId; + const filter = feedbackFilter; + fetchFeedbackData(id, filter?.value); + }, [agentId, feedbackFilter]); + return ( +
+ {/* Messages Analytics */} +
+
+
+

+ {t('settings.analytics.messages')} +

+ { + setMessagesFilter(selectedOption); + }} + selectedValue={messagesFilter ?? null} + rounded="3xl" + border="border" + contentSize="text-sm" + /> +
+
+
+ {loadingMessages ? ( + + ) : ( + + formatDate(item), + ), + datasets: [ + { + label: t('settings.analytics.messages'), + data: Object.values(messagesData || {}), + backgroundColor: '#7D54D1', + }, + ], + }} + legendID="legend-container-1" + maxTicksLimitInX={8} + isStacked={false} + /> + )} +
+
+ + {/* Token Usage Analytics */} +
+
+

+ {t('settings.analytics.tokenUsage')} +

+ { + setTokenUsageFilter(selectedOption); + }} + selectedValue={tokenUsageFilter ?? null} + rounded="3xl" + border="border" + contentSize="text-sm" + /> +
+
+
+ {loadingTokens ? ( + + ) : ( + + formatDate(item), + ), + datasets: [ + { + label: t('settings.analytics.tokenUsage'), + data: Object.values(tokenUsageData || {}), + backgroundColor: '#7D54D1', + }, + ], + }} + legendID="legend-container-2" + maxTicksLimitInX={8} + isStacked={false} + /> + )} +
+
+
+ + {/* Feedback Analytics */} +
+
+
+

+ {t('settings.analytics.userFeedback')} +

+ { + setFeedbackFilter(selectedOption); + }} + selectedValue={feedbackFilter ?? null} + rounded="3xl" + border="border" + contentSize="text-sm" + /> +
+
+
+ {loadingFeedback ? ( + + ) : ( + + formatDate(item), + ), + datasets: [ + { + label: t('settings.analytics.positiveFeedback'), + data: Object.values(feedbackData || {}).map( + (item) => item.positive, + ), + backgroundColor: '#7D54D1', + }, + { + label: t('settings.analytics.negativeFeedback'), + data: Object.values(feedbackData || {}).map( + (item) => item.negative, + ), + backgroundColor: '#FF6384', + }, + ], + }} + legendID="legend-container-3" + maxTicksLimitInX={8} + isStacked={false} + /> + )} +
+
+
+
+ ); +} + +type AnalyticsChartProps = { + data: ChartData<'bar'>; + legendID: string; + maxTicksLimitInX: number; + isStacked: boolean; +}; + +function AnalyticsChart({ + data, + legendID, + maxTicksLimitInX, + isStacked, +}: AnalyticsChartProps) { + const options = { + responsive: true, + maintainAspectRatio: false, + plugins: { + legend: { + display: false, + }, + htmlLegend: { + containerID: legendID, + }, + }, + scales: { + x: { + grid: { + lineWidth: 0.2, + color: '#C4C4C4', + }, + border: { + width: 0.2, + color: '#C4C4C4', + }, + ticks: { + maxTicksLimit: maxTicksLimitInX, + }, + stacked: isStacked, + }, + y: { + grid: { + lineWidth: 0.2, + color: '#C4C4C4', + }, + border: { + width: 0.2, + color: '#C4C4C4', + }, + stacked: isStacked, + }, + }, + }; + return ( + ({ + ...dataset, + hoverBackgroundColor: `${dataset.backgroundColor}CC`, // 80% opacity + })), + }} + /> + ); +} diff --git a/frontend/src/settings/Documents.tsx b/frontend/src/settings/Documents.tsx new file mode 100644 index 00000000..5a733beb --- /dev/null +++ b/frontend/src/settings/Documents.tsx @@ -0,0 +1,784 @@ +import React, { useCallback, useEffect, useRef, useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useDispatch, useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import ArrowLeft from '../assets/arrow-left.svg'; +import caretSort from '../assets/caret-sort.svg'; +import Edit from '../assets/edit.svg'; +import EyeView from '../assets/eye-view.svg'; +import NoFilesDarkIcon from '../assets/no-files-dark.svg'; +import NoFilesIcon from '../assets/no-files.svg'; +import SyncIcon from '../assets/sync.svg'; +import Trash from '../assets/red-trash.svg'; +import Pagination from '../components/DocumentPagination'; +import DropdownMenu from '../components/DropdownMenu'; +import Input from '../components/Input'; +import SkeletonLoader from '../components/SkeletonLoader'; +import Spinner from '../components/Spinner'; +import { useDarkTheme, useLoaderState } from '../hooks'; +import ChunkModal from '../modals/ChunkModal'; +import ConfirmationModal from '../modals/ConfirmationModal'; +import { ActiveState, Doc, DocumentsProps } from '../models/misc'; +import { getDocs, getDocsWithPagination } from '../preferences/preferenceApi'; +import { + selectToken, + setPaginatedDocuments, + setSourceDocs, +} from '../preferences/preferenceSlice'; +import Upload from '../upload/Upload'; +import { formatDate } from '../utils/dateTimeUtils'; +import { ChunkType } from './types'; +import ContextMenu, { MenuOption } from '../components/ContextMenu'; +import ThreeDots from '../assets/three-dots.svg'; + +const formatTokens = (tokens: number): string => { + const roundToTwoDecimals = (num: number): string => { + return (Math.round((num + Number.EPSILON) * 100) / 100).toString(); + }; + + if (tokens >= 1_000_000_000) { + return roundToTwoDecimals(tokens / 1_000_000_000) + 'b'; + } else if (tokens >= 1_000_000) { + return roundToTwoDecimals(tokens / 1_000_000) + 'm'; + } else if (tokens >= 1_000) { + return roundToTwoDecimals(tokens / 1_000) + 'k'; + } else { + return tokens.toString(); + } +}; + +export default function Documents({ + paginatedDocuments, + handleDeleteDocument, +}: DocumentsProps) { + const { t } = useTranslation(); + const dispatch = useDispatch(); + const token = useSelector(selectToken); + + const [searchTerm, setSearchTerm] = useState(''); + const [modalState, setModalState] = useState('INACTIVE'); + const [isOnboarding, setIsOnboarding] = useState(false); + const [loading, setLoading] = useLoaderState(false); + const [sortField, setSortField] = useState<'date' | 'tokens'>('date'); + const [sortOrder, setSortOrder] = useState<'asc' | 'desc'>('desc'); + // Pagination + const [currentPage, setCurrentPage] = useState(1); + const [rowsPerPage, setRowsPerPage] = useState(10); + const [totalPages, setTotalPages] = useState(1); + + const [activeMenuId, setActiveMenuId] = useState(null); + const menuRefs = useRef<{ [key: string]: React.RefObject }>( + {}, + ); + + // Create or get a ref for each document wrapper div (not the td) + const getMenuRef = (docId: string) => { + if (!menuRefs.current[docId]) { + menuRefs.current[docId] = React.createRef(); + } + return menuRefs.current[docId]; + }; + + const handleMenuClick = (e: React.MouseEvent, docId: string) => { + e.preventDefault(); + e.stopPropagation(); + + const isAnyMenuOpen = + (syncMenuState.isOpen && syncMenuState.docId === docId) || + activeMenuId === docId; + + if (isAnyMenuOpen) { + setSyncMenuState((prev) => ({ ...prev, isOpen: false, docId: null })); + setActiveMenuId(null); + return; + } + setActiveMenuId(docId); + }; + + useEffect(() => { + const handleClickOutside = (event: MouseEvent) => { + if (activeMenuId) { + const activeRef = menuRefs.current[activeMenuId]; + if ( + activeRef?.current && + !activeRef.current.contains(event.target as Node) + ) { + setActiveMenuId(null); + } + } + }; + + document.addEventListener('mousedown', handleClickOutside); + return () => document.removeEventListener('mousedown', handleClickOutside); + }, [activeMenuId]); + + const currentDocuments = paginatedDocuments ?? []; + const syncOptions = [ + { label: t('settings.documents.syncFrequency.never'), value: 'never' }, + { label: t('settings.documents.syncFrequency.daily'), value: 'daily' }, + { label: t('settings.documents.syncFrequency.weekly'), value: 'weekly' }, + { label: t('settings.documents.syncFrequency.monthly'), value: 'monthly' }, + ]; + const [showDocumentChunks, setShowDocumentChunks] = useState(); + const [isMenuOpen, setIsMenuOpen] = useState(false); + const [syncMenuState, setSyncMenuState] = useState<{ + isOpen: boolean; + docId: string | null; + document: Doc | null; + }>({ + isOpen: false, + docId: null, + document: null, + }); + + const refreshDocs = useCallback( + ( + field: 'date' | 'tokens' | undefined, + pageNumber?: number, + rows?: number, + ) => { + const page = pageNumber ?? currentPage; + const rowsPerPg = rows ?? rowsPerPage; + + // If field is undefined, (Pagination or Search) use the current sortField + const newSortField = field ?? sortField; + + // If field is undefined, (Pagination or Search) use the current sortOrder + const newSortOrder = + field === sortField + ? sortOrder === 'asc' + ? 'desc' + : 'asc' + : sortOrder; + + // If field is defined, update the sortField and sortOrder + if (field) { + setSortField(newSortField); + setSortOrder(newSortOrder); + } + + setLoading(true); + getDocsWithPagination( + newSortField, + newSortOrder, + page, + rowsPerPg, + searchTerm, + token, + ) + .then((data) => { + dispatch(setPaginatedDocuments(data ? data.docs : [])); + setTotalPages(data ? data.totalPages : 0); + }) + .catch((error) => console.error(error)) + .finally(() => { + setLoading(false); + }); + }, + [currentPage, rowsPerPage, sortField, sortOrder, searchTerm], + ); + + const handleManageSync = (doc: Doc, sync_frequency: string) => { + setLoading(true); + userService + .manageSync({ source_id: doc.id, sync_frequency }, token) + .then(() => { + return getDocs(token); + }) + .then((data) => { + dispatch(setSourceDocs(data)); + return getDocsWithPagination( + sortField, + sortOrder, + currentPage, + rowsPerPage, + searchTerm, + token, + ); + }) + .then((paginatedData) => { + dispatch( + setPaginatedDocuments(paginatedData ? paginatedData.docs : []), + ); + setTotalPages(paginatedData ? paginatedData.totalPages : 0); + }) + .catch((error) => console.error('Error in handleManageSync:', error)) + .finally(() => { + setLoading(false); + }); + }; + + const [documentToDelete, setDocumentToDelete] = useState<{ + index: number; + document: Doc; + } | null>(null); + const [deleteModalState, setDeleteModalState] = + useState('INACTIVE'); + + const handleDeleteConfirmation = (index: number, document: Doc) => { + setDocumentToDelete({ index, document }); + setDeleteModalState('ACTIVE'); + }; + + const handleConfirmedDelete = () => { + if (documentToDelete) { + handleDeleteDocument(documentToDelete.index, documentToDelete.document); + setDeleteModalState('INACTIVE'); + setDocumentToDelete(null); + } + }; + + const getActionOptions = (index: number, document: Doc): MenuOption[] => { + const actions: MenuOption[] = [ + { + icon: EyeView, + label: t('settings.documents.view'), + onClick: () => { + setShowDocumentChunks(document); + }, + iconWidth: 18, + iconHeight: 18, + variant: 'primary', + }, + ]; + + if (document.syncFrequency) { + actions.push({ + icon: SyncIcon, + label: t('settings.documents.sync'), + onClick: () => { + setSyncMenuState({ + isOpen: true, + docId: document.id ?? null, + document: document, + }); + }, + iconWidth: 14, + iconHeight: 14, + variant: 'primary', + }); + } + + actions.push({ + icon: Trash, + label: t('convTile.delete'), + onClick: () => { + handleDeleteConfirmation(index, document); + }, + iconWidth: 18, + iconHeight: 18, + variant: 'danger', + }); + + return actions; + }; + useEffect(() => { + refreshDocs(undefined, 1, rowsPerPage); + }, [searchTerm]); + + return showDocumentChunks ? ( + { + setShowDocumentChunks(undefined); + }} + /> + ) : ( +
+
+
+

+ {t('settings.documents.title')} +

+
+
+
+ + { + setSearchTerm(e.target.value); + setCurrentPage(1); + }} + borderVariant="thin" + /> +
+ +
+
+
+
+ + + + + + + + + + + {loading ? ( + + ) : !currentDocuments?.length ? ( + + + + ) : ( + currentDocuments.map((document, index) => { + const docId = document.id ? document.id.toString() : ''; + + return ( + + + + + + + ); + }) + )} + +
+ {t('settings.documents.name')} + +
+ {t('settings.documents.date')} + refreshDocs('date')} + src={caretSort} + alt="sort" + /> +
+ 		+
+ + {t('settings.documents.tokenUsage')} + + + {t('settings.documents.tokenUsage')} + + refreshDocs('tokens')} + src={caretSort} + alt="sort" + /> +
+ 		+ {t('settings.documents.actions')} +
+ {t('settings.documents.noData')} +
+ {document.name} + + {document.date ? formatDate(document.date) : ''} + + {document.tokens + ? formatTokens(+document.tokens) + : ''} + e.stopPropagation()} + > +
+ {document.syncFrequency && ( + { + handleManageSync(document, value); + }} + defaultValue={document.syncFrequency} + icon={SyncIcon} + isOpen={ + syncMenuState.docId === docId && + syncMenuState.isOpen + } + onOpenChange={(isOpen) => { + setSyncMenuState((prev) => ({ + ...prev, + isOpen, + docId: isOpen ? docId : null, + document: isOpen ? document : null, + })); + }} + anchorRef={getMenuRef(docId)} + position="bottom-left" + offset={{ x: 24, y: -24 }} + className="min-w-[120px]" + /> + )} + + { + setActiveMenuId(isOpen ? docId : null); + }} + options={getActionOptions(index, document)} + anchorRef={getMenuRef(docId)} + position="bottom-left" + offset={{ x: 48, y: 0 }} + className="z-50" + /> +
+
+
+
+
+
+ +
+ { + setCurrentPage(page); + refreshDocs(undefined, page, rowsPerPage); + }} + onRowsPerPageChange={(rows) => { + setRowsPerPage(rows); + setCurrentPage(1); + refreshDocs(undefined, 1, rows); + }} + /> +
+ + {modalState === 'ACTIVE' && ( + setModalState('INACTIVE')} + onSuccessfulUpload={() => + refreshDocs(undefined, currentPage, rowsPerPage) + } + /> + )} + + {deleteModalState === 'ACTIVE' && documentToDelete && ( + { + setDeleteModalState('INACTIVE'); + setDocumentToDelete(null); + }} + submitLabel={t('convTile.delete')} + variant="danger" + /> + )} +
+ ); +} + +function DocumentChunks({ + document, + handleGoBack, +}: { + document: Doc; + handleGoBack: () => void; +}) { + const { t } = useTranslation(); + const token = useSelector(selectToken); + const [isDarkTheme] = useDarkTheme(); + const [paginatedChunks, setPaginatedChunks] = useState([]); + const [page, setPage] = useState(1); + const [perPage, setPerPage] = useState(5); + const [totalChunks, setTotalChunks] = useState(0); + const [loading, setLoading] = useLoaderState(true); + const [searchTerm, setSearchTerm] = useState(''); + const [addModal, setAddModal] = useState('INACTIVE'); + const [editModal, setEditModal] = useState<{ + state: ActiveState; + chunk: ChunkType | null; + }>({ state: 'INACTIVE', chunk: null }); + + const fetchChunks = () => { + setLoading(true); + try { + userService + .getDocumentChunks(document.id ?? '', page, perPage, token) + .then((response) => { + if (!response.ok) { + setLoading(false); + setPaginatedChunks([]); + throw new Error('Failed to fetch chunks data'); + } + return response.json(); + }) + .then((data) => { + setPage(data.page); + setPerPage(data.per_page); + setTotalChunks(data.total); + setPaginatedChunks(data.chunks); + setLoading(false); + }); + } catch (e) { + console.log(e); + setLoading(false); + } + }; + + const handleAddChunk = (title: string, text: string) => { + try { + userService + .addChunk( + { + id: document.id ?? '', + text: text, + metadata: { + title: title, + }, + }, + token, + ) + .then((response) => { + if (!response.ok) { + throw new Error('Failed to add chunk'); + } + fetchChunks(); + }); + } catch (e) { + console.log(e); + } + }; + + const handleUpdateChunk = (title: string, text: string, chunk: ChunkType) => { + try { + userService + .updateChunk( + { + id: document.id ?? '', + chunk_id: chunk.doc_id, + text: text, + metadata: { + title: title, + }, + }, + token, + ) + .then((response) => { + if (!response.ok) { + throw new Error('Failed to update chunk'); + } + fetchChunks(); + }); + } catch (e) { + console.log(e); + } + }; + + const handleDeleteChunk = (chunk: ChunkType) => { + try { + userService + .deleteChunk(document.id ?? '', chunk.doc_id, token) + .then((response) => { + if (!response.ok) { + throw new Error('Failed to delete chunk'); + } + setEditModal({ state: 'INACTIVE', chunk: null }); + fetchChunks(); + }); + } catch (e) { + console.log(e); + } + }; + + React.useEffect(() => { + fetchChunks(); + }, [page, perPage]); + return ( +
+
+ +

{t('settings.documents.backToAll')}

+
+
+
+

{`${totalChunks} ${t('settings.documents.chunks')}`}

+ + { + setSearchTerm(e.target.value); + }} + borderVariant="thin" + /> +
+ +
+ {loading ? ( +
+
+ +
+
+ ) : ( +
+ {paginatedChunks.filter((chunk) => { + if (!chunk.metadata?.title) return true; + return chunk.metadata.title + .toLowerCase() + .includes(searchTerm.toLowerCase()); + }).length === 0 ? ( +
+ {t('settings.documents.noChunksAlt')} + {t('settings.documents.noChunks')} +
+ ) : ( + paginatedChunks + .filter((chunk) => { + if (!chunk.metadata?.title) return true; + return chunk.metadata.title + .toLowerCase() + .includes(searchTerm.toLowerCase()); + }) + .map((chunk, index) => ( +
+
+
+ +
+
+

+ {chunk.metadata?.title ?? 'Untitled'} +

+

+ {chunk.text} +

+
+
+
+ )) + )} +
+ )} + {!loading && + paginatedChunks.filter((chunk) => { + if (!chunk.metadata?.title) return true; + return chunk.metadata.title + .toLowerCase() + .includes(searchTerm.toLowerCase()); + }).length !== 0 && ( +
+ { + setPage(page); + }} + onRowsPerPageChange={(rows) => { + setPerPage(rows); + setPage(1); + }} + /> +
+ )} + + setEditModal((prev) => ({ ...prev, state }))} + handleSubmit={(title, text) => { + handleUpdateChunk(title, text, editModal.chunk as ChunkType); + }} + originalText={editModal.chunk?.text} + originalTitle={editModal.chunk?.metadata?.title} + handleDelete={() => { + handleDeleteChunk(editModal.chunk as ChunkType); + }} + /> +
+ ); +} diff --git a/frontend/src/settings/General.tsx b/frontend/src/settings/General.tsx new file mode 100644 index 00000000..05ddbabf --- /dev/null +++ b/frontend/src/settings/General.tsx @@ -0,0 +1,186 @@ +import React from 'react'; +import { useTranslation } from 'react-i18next'; +import { useDispatch, useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import Dropdown from '../components/Dropdown'; +import { useDarkTheme } from '../hooks'; +import { + selectChunks, + selectPrompt, + selectToken, + selectTokenLimit, + setChunks, + setModalStateDeleteConv, + setPrompt, + setTokenLimit, +} from '../preferences/preferenceSlice'; +import Prompts from './Prompts'; + +export default function General() { + const { + t, + i18n: { changeLanguage }, + } = useTranslation(); + const token = useSelector(selectToken); + const themes = [ + { value: 'Light', label: t('settings.general.light') }, + { value: 'Dark', label: t('settings.general.dark') }, + ]; + + const languageOptions = [ + { label: 'English', value: 'en' }, + { label: 'Español', value: 'es' }, + { label: '日本語', value: 'jp' }, + { label: '普通话', value: 'zh' }, + { label: '繁體中文（臺灣）', value: 'zhTW' }, + { label: 'Русский', value: 'ru' }, + ]; + const chunks = ['0', '2', '4', '6', '8', '10']; + const token_limits = new Map([ + [0, t('settings.general.none')], + [100, t('settings.general.low')], + [1000, t('settings.general.medium')], + [2000, t('settings.general.default')], + [4000, t('settings.general.high')], + [1e9, t('settings.general.unlimited')], + ]); + const [prompts, setPrompts] = React.useState< + { name: string; id: string; type: string }[] + >([]); + const selectedChunks = useSelector(selectChunks); + const selectedTokenLimit = useSelector(selectTokenLimit); + const [isDarkTheme, toggleTheme] = useDarkTheme(); + const [selectedTheme, setSelectedTheme] = React.useState( + isDarkTheme ? 'Dark' : 'Light', + ); + const dispatch = useDispatch(); + const locale = localStorage.getItem('docsgpt-locale'); + const [selectedLanguage, setSelectedLanguage] = React.useState( + locale + ? languageOptions.find((option) => option.value === locale) + : languageOptions[0], + ); + const selectedPrompt = useSelector(selectPrompt); + + React.useEffect(() => { + const handleFetchPrompts = async () => { + try { + const response = await userService.getPrompts(token); + if (!response.ok) { + throw new Error('Failed to fetch prompts'); + } + const promptsData = await response.json(); + setPrompts(promptsData); + } catch (error) { + console.error(error); + } + }; + handleFetchPrompts(); + }, []); + + React.useEffect(() => { + localStorage.setItem('docsgpt-locale', selectedLanguage?.value as string); + changeLanguage(selectedLanguage?.value); + }, [selectedLanguage, changeLanguage]); + return ( +
+ {' '} +
+ {' '} + + theme.value === selectedTheme) || null + } + onSelect={(option: { value: string; label: string }) => { + setSelectedTheme(option.value); + option.value !== selectedTheme && toggleTheme(); + }} + size="w-56" + rounded="3xl" + border="border" + /> +
+
+ + + languageOption.value !== selectedLanguage?.value, + )} + selectedValue={selectedLanguage ?? languageOptions[0]} + onSelect={(selectedOption: { label: string; value: string }) => { + setSelectedLanguage(selectedOption); + }} + size="w-56" + rounded="3xl" + border="border" + /> +
+
+ + dispatch(setChunks(value))} + size="w-56" + rounded="3xl" + border="border" + /> +
+
+ + ({ + value: value, + description: desc, + }))} + selectedValue={{ + value: selectedTokenLimit, + description: token_limits.get(selectedTokenLimit) as string, + }} + onSelect={({ + value, + description, + }: { + value: number; + description: string; + }) => dispatch(setTokenLimit(value))} + size="w-56" + rounded="3xl" + border="border" + /> +
+
+ + dispatch(setPrompt({ name: name, id: id, type: type })) + } + setPrompts={setPrompts} + /> +
+
+
+ +
+
+ ); +} diff --git a/frontend/src/settings/Logs.tsx b/frontend/src/settings/Logs.tsx new file mode 100644 index 00000000..d5d4d3e3 --- /dev/null +++ b/frontend/src/settings/Logs.tsx @@ -0,0 +1,208 @@ +import React, { useCallback, useEffect, useRef, useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import ChevronRight from '../assets/chevron-right.svg'; +import CopyButton from '../components/CopyButton'; +import SkeletonLoader from '../components/SkeletonLoader'; +import { useLoaderState } from '../hooks'; +import { selectToken } from '../preferences/preferenceSlice'; +import { LogData } from './types'; + +type LogsProps = { + agentId?: string; + tableHeader?: string; +}; + +export default function Logs({ agentId, tableHeader }: LogsProps) { + const token = useSelector(selectToken); + const [logsByPage, setLogsByPage] = useState>({}); + const [page, setPage] = useState(1); + const [hasMore, setHasMore] = useState(true); + const [loadingLogs, setLoadingLogs] = useLoaderState(true); + + const logs = Object.values(logsByPage).flat(); + + const fetchLogs = async () => { + if (logsByPage[page] && logsByPage[page].length > 0) return; + + setLoadingLogs(true); + try { + const response = await userService.getLogs( + { + page: page, + api_key_id: agentId, + page_size: 10, + }, + token, + ); + if (!response.ok) throw new Error('Failed to fetch logs'); + const data = await response.json(); + + setLogsByPage((prev) => ({ + ...prev, + [page]: data.logs, + })); + setHasMore(data.has_more); + } catch (error) { + console.error(error); + } finally { + setLoadingLogs(false); + } + }; + + useEffect(() => { + if (hasMore) fetchLogs(); + }, [page, agentId]); + return ( +
+
+ +
+
+ ); +} + +type LogsTableProps = { + logs: LogData[]; + setPage: React.Dispatch>; + loading: boolean; + tableHeader?: string; +}; +function LogsTable({ logs, setPage, loading, tableHeader }: LogsTableProps) { + const { t } = useTranslation(); + const observerRef = useRef(null); + const [openLogId, setOpenLogId] = useState(null); + + const handleLogToggle = (logId: string) => { + if (openLogId === logId) { + setOpenLogId(null); + } else { + setOpenLogId(logId); + } + }; + + const firstObserver = useCallback((node: HTMLDivElement | null) => { + if (observerRef.current) { + observerRef.current.disconnect(); + } + + if (!node) return; + + observerRef.current = new IntersectionObserver((entries) => { + if (entries[0].isIntersecting) { + setPage((prev) => prev + 1); + } + }); + + observerRef.current.observe(node); + }, []); + + useEffect(() => { + return () => { + if (observerRef.current) { + observerRef.current.disconnect(); + } + }; + }, []); + + return ( +
+
+

+ {tableHeader ? tableHeader : t('settings.logs.tableHeader')} +

+
+
+ {logs?.map((log, index) => { + if (index === logs.length - 1) { + return ( +
+ +
+ ); + } else + return ( + + ); + })} + {loading && } +
+
+ ); +} +function Log({ + log, + isOpen, + onToggle, +}: { + log: LogData; + isOpen: boolean; + onToggle: (id: string) => void; +}) { + const { t } = useTranslation(); + const logLevelColor = { + info: 'text-green-500', + error: 'text-red-500', + warning: 'text-yellow-500', + }; + const { id, action, timestamp, ...filteredLog } = log; + + return ( +
+
onToggle(log.id)} + className={`flex cursor-pointer flex-row items-start gap-2 p-2 px-4 py-3 text-gray-900 ${ + isOpen ? 'rounded-t-xl bg-[#F1F1F1] dark:bg-[#1B1B1B]' : '' + }`} + > + Expand log entry + +

{`${log.timestamp}`}

+

{`[${log.action}]`}

+

+ {`${log.question}`.length > 250 + ? `${log.question.substring(0, 250)}...` + : log.question} +

+ +
+ {isOpen && ( +
+
+ 
+              {JSON.stringify(filteredLog, null, 2)}
+
+
+
+ +
+
+ )} +
+ ); +} diff --git a/frontend/src/settings/Prompts.tsx b/frontend/src/settings/Prompts.tsx new file mode 100644 index 00000000..84b739ae --- /dev/null +++ b/frontend/src/settings/Prompts.tsx @@ -0,0 +1,243 @@ +import React from 'react'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import Dropdown from '../components/Dropdown'; +import { ActiveState, PromptProps } from '../models/misc'; +import { selectToken } from '../preferences/preferenceSlice'; +import PromptsModal from '../preferences/PromptsModal'; +import ConfirmationModal from '../modals/ConfirmationModal'; + +export default function Prompts({ + prompts, + selectedPrompt, + onSelectPrompt, + setPrompts, +}: PromptProps) { + const handleSelectPrompt = ({ + name, + id, + type, + }: { + name: string; + id: string; + type: string; + }) => { + setEditPromptName(name); + onSelectPrompt(name, id, type); + }; + const token = useSelector(selectToken); + const [newPromptName, setNewPromptName] = React.useState(''); + const [newPromptContent, setNewPromptContent] = React.useState(''); + const [editPromptName, setEditPromptName] = React.useState(''); + const [editPromptContent, setEditPromptContent] = React.useState(''); + const [currentPromptEdit, setCurrentPromptEdit] = React.useState({ + id: '', + name: '', + type: '', + }); + const [modalType, setModalType] = React.useState<'ADD' | 'EDIT'>('ADD'); + const [modalState, setModalState] = React.useState('INACTIVE'); + const { t } = useTranslation(); + + const [promptToDelete, setPromptToDelete] = React.useState<{ + id: string; + name: string; + } | null>(null); + + const handleAddPrompt = async () => { + try { + const response = await userService.createPrompt( + { + name: newPromptName, + content: newPromptContent, + }, + token, + ); + if (!response.ok) { + throw new Error('Failed to add prompt'); + } + const newPrompt = await response.json(); + if (setPrompts) { + setPrompts([ + ...prompts, + { name: newPromptName, id: newPrompt.id, type: 'private' }, + ]); + } + setModalState('INACTIVE'); + onSelectPrompt(newPromptName, newPrompt.id, newPromptContent); + setNewPromptName(''); + setNewPromptContent(''); + } catch (error) { + console.error(error); + } + }; + + const handleDeletePrompt = (id: string) => { + const promptToRemove = prompts.find((prompt) => prompt.id === id); + if (promptToRemove) { + setPromptToDelete({ id, name: promptToRemove.name }); + } + }; + + const confirmDeletePrompt = () => { + if (promptToDelete) { + setPrompts(prompts.filter((prompt) => prompt.id !== promptToDelete.id)); + userService + .deletePrompt({ id: promptToDelete.id }, token) + .then((response) => { + if (!response.ok) { + throw new Error('Failed to delete prompt'); + } + if (prompts.length > 0) { + const firstPrompt = prompts.find((p) => p.id !== promptToDelete.id); + if (firstPrompt) { + onSelectPrompt( + firstPrompt.name, + firstPrompt.id, + firstPrompt.type, + ); + } + } + }) + .catch((error) => { + console.error(error); + }); + setPromptToDelete(null); + } + }; + + const handleFetchPromptContent = async (id: string) => { + try { + const response = await userService.getSinglePrompt(id, token); + if (!response.ok) { + throw new Error('Failed to fetch prompt content'); + } + const promptContent = await response.json(); + setEditPromptContent(promptContent.content); + } catch (error) { + console.error(error); + } + }; + + const handleSaveChanges = (id: string, type: string) => { + userService + .updatePrompt( + { + id: id, + name: editPromptName, + content: editPromptContent, + }, + token, + ) + .then((response) => { + if (!response.ok) { + throw new Error('Failed to update prompt'); + } + if (setPrompts) { + const existingPromptIndex = prompts.findIndex( + (prompt) => prompt.id === id, + ); + if (existingPromptIndex === -1) { + setPrompts([ + ...prompts, + { name: editPromptName, id: id, type: type }, + ]); + } else { + const updatedPrompts = [...prompts]; + updatedPrompts[existingPromptIndex] = { + name: editPromptName, + id: id, + type: type, + }; + setPrompts(updatedPrompts); + } + } + setModalState('INACTIVE'); + onSelectPrompt(editPromptName, id, type); + }) + .catch((error) => { + console.error(error); + }); + }; + return ( + <> +
+
+

+ {t('settings.general.prompt')} +

+
+ { + setModalType('EDIT'); + setEditPromptName(name); + handleFetchPromptContent(id); + setCurrentPromptEdit({ id: id, name: name, type: type }); + setModalState('ACTIVE'); + }} + onDelete={handleDeletePrompt} + /> + + +
+
+
+ + {promptToDelete && ( + setPromptToDelete(null)} + submitLabel={t('modals.deleteConv.delete')} + handleSubmit={confirmDeletePrompt} + handleCancel={() => setPromptToDelete(null)} + variant="danger" + /> + )} + + ); +} diff --git a/frontend/src/settings/ToolConfig.tsx b/frontend/src/settings/ToolConfig.tsx new file mode 100644 index 00000000..7d738842 --- /dev/null +++ b/frontend/src/settings/ToolConfig.tsx @@ -0,0 +1,1146 @@ +import React from 'react'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import ArrowLeft from '../assets/arrow-left.svg'; +import CircleCheck from '../assets/circle-check.svg'; +import CircleX from '../assets/circle-x.svg'; +import Trash from '../assets/trash.svg'; +import Dropdown from '../components/Dropdown'; +import Input from '../components/Input'; +import ToggleSwitch from '../components/ToggleSwitch'; +import AddActionModal from '../modals/AddActionModal'; +import ConfirmationModal from '../modals/ConfirmationModal'; +import { ActiveState } from '../models/misc'; +import { selectToken } from '../preferences/preferenceSlice'; +import { APIActionType, APIToolType, UserToolType } from './types'; +import { useTranslation } from 'react-i18next'; +import { areObjectsEqual } from '../utils/objectUtils'; +import { useDarkTheme } from '../hooks'; +import NoFilesIcon from '../assets/no-files.svg'; +import NoFilesDarkIcon from '../assets/no-files-dark.svg'; + +export default function ToolConfig({ + tool, + setTool, + handleGoBack, +}: { + tool: UserToolType | APIToolType; + setTool: (tool: UserToolType | APIToolType) => void; + handleGoBack: () => void; +}) { + const token = useSelector(selectToken); + const [authKey, setAuthKey] = React.useState( + 'token' in tool.config ? tool.config.token : '', + ); + const [customName, setCustomName] = React.useState( + tool.customName || '', + ); + const [actionModalState, setActionModalState] = + React.useState('INACTIVE'); + const [initialState, setInitialState] = React.useState({ + customName: tool.customName || '', + authKey: 'token' in tool.config ? tool.config.token : '', + config: tool.config, + actions: 'actions' in tool ? tool.actions : [], + }); + const [hasUnsavedChanges, setHasUnsavedChanges] = React.useState(false); + const [showUnsavedModal, setShowUnsavedModal] = React.useState(false); + const { t } = useTranslation(); + const [isDarkTheme] = useDarkTheme(); + + const handleBackClick = () => { + if (hasUnsavedChanges) { + setShowUnsavedModal(true); + } else { + handleGoBack(); + } + }; + + React.useEffect(() => { + const currentState = { + customName, + authKey, + config: tool.config, + actions: 'actions' in tool ? tool.actions : [], + }; + + setHasUnsavedChanges(!areObjectsEqual(initialState, currentState)); + }, [customName, authKey, tool]); + + const handleCheckboxChange = (actionIndex: number, property: string) => { + setTool({ + ...tool, + actions: + 'actions' in tool + ? tool.actions.map((action, index) => { + if (index === actionIndex) { + return { + ...action, + parameters: { + ...action.parameters, + properties: { + ...action.parameters.properties, + [property]: { + ...action.parameters.properties[property], + filled_by_llm: + !action.parameters.properties[property].filled_by_llm, + }, + }, + }, + }; + } + return action; + }) + : [], + }); + }; + + const handleSaveChanges = () => { + userService + .updateTool( + { + id: tool.id, + name: tool.name, + displayName: tool.displayName, + customName: customName, + description: tool.description, + config: tool.name === 'api_tool' ? tool.config : { token: authKey }, + actions: 'actions' in tool ? tool.actions : [], + status: tool.status, + }, + token, + ) + .then(() => { + // Update initialState to match current state + setInitialState({ + customName, + authKey, + config: tool.config, + actions: 'actions' in tool ? tool.actions : [], + }); + setHasUnsavedChanges(false); + handleGoBack(); + }); + }; + + const handleDelete = () => { + userService.deleteTool({ id: tool.id }, token).then(() => { + handleGoBack(); + }); + }; + + const handleAddNewAction = (actionName: string) => { + const newAction: APIActionType = { + name: actionName, + method: 'GET', + url: '', + description: '', + body: { + properties: {}, + type: 'object', + }, + headers: { + properties: {}, + type: 'object', + }, + query_params: { + properties: {}, + type: 'object', + }, + active: true, + }; + const toolCopy = tool as APIToolType; + setTool({ + ...toolCopy, + config: { + ...toolCopy.config, + actions: { ...toolCopy.config.actions, [actionName]: newAction }, + }, + }); + }; + return ( +
+
+
+ +

{t('settings.tools.backToAllTools')}

+
+ +
+ {/* Custom name section */} +
+

+ {t('settings.tools.customName')} +

+
+ setCustomName(e.target.value)} + borderVariant="thin" + placeholder={t('settings.tools.customNamePlaceholder')} + /> +
+
+
+ {Object.keys(tool?.config).length !== 0 && tool.name !== 'api_tool' && ( +

+ {t('settings.tools.authentication')} +

+ )} +
+ {Object.keys(tool?.config).length !== 0 && + tool.name !== 'api_tool' && ( +
+ setAuthKey(e.target.value)} + borderVariant="thin" + placeholder={t('modals.configTool.apiKeyPlaceholder')} + /> +
+ )} +
+
+
+
+
+

+ {t('settings.tools.actions')} +

+ {tool.name === 'api_tool' && + (!tool.config.actions || + Object.keys(tool.config.actions).length === 0) && ( + + )} +
+ {tool.name === 'api_tool' ? ( + <> + {tool.config.actions && + Object.keys(tool.config.actions).length > 0 ? ( + + ) : ( +
+ No actions found +

+ {t('settings.tools.noActionsFound')} +

+
+ )} + + ) : ( +
+ {'actions' in tool && tool.actions && tool.actions.length > 0 ? ( + tool.actions.map((action, actionIndex) => ( +
+
+

+ {action.name} +

+ { + setTool({ + ...tool, + actions: tool.actions.map((act, index) => { + if (index === actionIndex) { + return { ...act, active: checked }; + } + return act; + }), + }); + }} + size="small" + id={`actionToggle-${actionIndex}`} + /> +
+
+ { + setTool({ + ...tool, + actions: tool.actions.map((act, index) => { + if (index === actionIndex) { + return { + ...act, + description: e.target.value, + }; + } + return act; + }), + }); + }} + borderVariant="thin" + /> +
+
+ + + + + + + + + + + + {Object.entries(action.parameters?.properties).map( + (param, index) => { + const uniqueKey = `${actionIndex}-${param[0]}`; + return ( + + + + + + + + ); + }, + )} + +
{t('settings.tools.fieldName')}{t('settings.tools.fieldType')}{t('settings.tools.filledByLLM')}{t('settings.tools.fieldDescription')}{t('settings.tools.value')}
{param[0]}{param[1].type} + + + { + setTool({ + ...tool, + actions: tool.actions.map( + (act, index) => { + if (index === actionIndex) { + return { + ...act, + parameters: { + ...act.parameters, + properties: { + ...act.parameters + .properties, + [param[0]]: { + ...act.parameters + .properties[param[0]], + description: + e.target.value, + }, + }, + }, + }; + } + return act; + }, + ), + }); + }} + > + + { + setTool({ + ...tool, + actions: tool.actions.map( + (act, index) => { + if (index === actionIndex) { + return { + ...act, + parameters: { + ...act.parameters, + properties: { + ...act.parameters + .properties, + [param[0]]: { + ...act.parameters + .properties[param[0]], + value: e.target.value, + }, + }, + }, + }; + } + return act; + }, + ), + }); + }} + > +
+
+
+ )) + ) : ( +
+ No actions found +

+ {t('settings.tools.noActionsFound')} +

+
+ )} +
+ )} + + {showUnsavedModal && ( + setShowUnsavedModal(state === 'ACTIVE')} + submitLabel={t('settings.tools.saveAndLeave')} + handleSubmit={() => { + userService + .updateTool( + { + id: tool.id, + name: tool.name, + displayName: tool.displayName, + customName: customName, + description: tool.description, + config: + tool.name === 'api_tool' + ? tool.config + : { token: authKey }, + actions: 'actions' in tool ? tool.actions : [], + status: tool.status, + }, + token, + ) + .then(() => { + setShowUnsavedModal(false); + handleGoBack(); + }); + }} + cancelLabel={t('settings.tools.leaveWithoutSaving')} + handleCancel={() => { + setShowUnsavedModal(false); + handleGoBack(); + }} + /> + )} +
+
+ ); +} + +function APIToolConfig({ + tool, + setTool, +}: { + tool: APIToolType; + setTool: (tool: APIToolType) => void; +}) { + const [apiTool, setApiTool] = React.useState(tool); + const { t } = useTranslation(); + const [actionToDelete, setActionToDelete] = React.useState( + null, + ); + const [deleteModalState, setDeleteModalState] = + React.useState('INACTIVE'); + + const handleDeleteActionClick = (actionName: string) => { + setActionToDelete(actionName); + setDeleteModalState('ACTIVE'); + }; + const handleConfirmedDelete = () => { + if (actionToDelete) { + setApiTool((prevApiTool) => { + const { [actionToDelete]: deletedAction, ...remainingActions } = + prevApiTool.config.actions; + return { + ...prevApiTool, + config: { + ...prevApiTool.config, + actions: remainingActions, + }, + }; + }); + setActionToDelete(null); + setDeleteModalState('INACTIVE'); + } + }; + + const handleActionChange = ( + actionName: string, + updatedAction: APIActionType, + ) => { + setApiTool((prevApiTool) => { + const updatedActions = { ...prevApiTool.config.actions }; + updatedActions[actionName] = updatedAction; + return { + ...prevApiTool, + config: { ...prevApiTool.config, actions: updatedActions }, + }; + }); + }; + + const handleActionToggle = (actionName: string) => { + setApiTool((prevApiTool) => { + const updatedActions = { ...prevApiTool.config.actions }; + const updatedAction = { ...updatedActions[actionName] }; + updatedAction.active = !updatedAction.active; + updatedActions[actionName] = updatedAction; + return { + ...prevApiTool, + config: { ...prevApiTool.config, actions: updatedActions }, + }; + }); + }; + + React.useEffect(() => { + setApiTool(tool); + }, [tool]); + + React.useEffect(() => { + setTool(apiTool); + }, [apiTool]); + return ( +
+ {/* Actions list */} + {apiTool.config.actions && + Object.entries(apiTool.config.actions).map( + ([actionName, action], actionIndex) => ( +
+
+

+ {action.name} +

+
+ + handleActionToggle(actionName)} + size="small" + id={`actionToggle-${actionIndex}`} + /> +
+
+
+ { + setApiTool((prevApiTool) => { + const updatedActions = { + ...prevApiTool.config.actions, + }; + const updatedAction = { + ...updatedActions[actionName], + }; + updatedAction.url = e.target.value; + updatedActions[actionName] = updatedAction; + return { + ...prevApiTool, + config: { + ...prevApiTool.config, + actions: updatedActions, + }, + }; + }); + }} + borderVariant="thin" + placeholder={t('settings.tools.urlPlaceholder')} + /> +
+
+
+ + {t('settings.tools.method')} + + { + setApiTool((prevApiTool) => { + const updatedActions = { + ...prevApiTool.config.actions, + }; + const updatedAction = { + ...updatedActions[actionName], + }; + updatedAction.method = value as + | 'GET' + | 'POST' + | 'PUT' + | 'DELETE'; + updatedActions[actionName] = updatedAction; + return { + ...prevApiTool, + config: { + ...prevApiTool.config, + actions: updatedActions, + }, + }; + }); + }} + size="w-56" + rounded="3xl" + border="border" + /> +
+
+
+ { + setApiTool((prevApiTool) => { + const updatedActions = { + ...prevApiTool.config.actions, + }; + const updatedAction = { + ...updatedActions[actionName], + }; + updatedAction.description = e.target.value; + updatedActions[actionName] = updatedAction; + return { + ...prevApiTool, + config: { + ...prevApiTool.config, + actions: updatedActions, + }, + }; + }); + }} + borderVariant="thin" + placeholder={t('settings.tools.descriptionPlaceholder')} + /> +
+
+ +
+
+ ), + )} + + {/* Confirmation Modal */} + {deleteModalState === 'ACTIVE' && actionToDelete && ( + { + setDeleteModalState('INACTIVE'); + setActionToDelete(null); + }} + submitLabel={t('convTile.delete')} + variant="danger" + /> + )} +
+ ); +} + +function APIActionTable({ + apiAction, + handleActionChange, +}: { + apiAction: APIActionType; + handleActionChange: ( + actionName: string, + updatedAction: APIActionType, + ) => void; +}) { + const { t } = useTranslation(); + + const [action, setAction] = React.useState(apiAction); + const [newPropertyKey, setNewPropertyKey] = React.useState(''); + const [addingPropertySection, setAddingPropertySection] = React.useState< + 'headers' | 'query_params' | 'body' | null + >(null); + const [editingPropertyKey, setEditingPropertyKey] = React.useState<{ + section: 'headers' | 'query_params' | 'body' | null; + oldKey: string | null; + }>({ section: null, oldKey: null }); + + const handlePropertyChange = ( + section: 'headers' | 'query_params' | 'body', + key: string, + field: 'value' | 'description' | 'filled_by_llm', + value: string | number | boolean, + ) => { + setAction((prevAction) => { + const updatedProperties = { + ...prevAction[section].properties, + [key]: { + ...prevAction[section].properties[key], + [field]: value, + }, + }; + return { + ...prevAction, + [section]: { + ...prevAction[section], + properties: updatedProperties, + }, + }; + }); + }; + + const handleAddPropertyStart = ( + section: 'headers' | 'query_params' | 'body', + ) => { + setEditingPropertyKey({ section: null, oldKey: null }); + setAddingPropertySection(section); + setNewPropertyKey(''); + }; + const handleAddPropertyCancel = () => { + setAddingPropertySection(null); + setNewPropertyKey(''); + }; + const handleAddProperty = () => { + if (addingPropertySection && newPropertyKey.trim() !== '') { + setAction((prevAction) => { + const updatedProperties = { + ...prevAction[addingPropertySection].properties, + [newPropertyKey.trim()]: { + type: 'string', + description: '', + value: '', + filled_by_llm: false, + }, + }; + return { + ...prevAction, + [addingPropertySection]: { + ...prevAction[addingPropertySection], + properties: updatedProperties, + }, + }; + }); + setNewPropertyKey(''); + setAddingPropertySection(null); + } + }; + + const handleRenamePropertyStart = ( + section: 'headers' | 'query_params' | 'body', + oldKey: string, + ) => { + setAddingPropertySection(null); + setEditingPropertyKey({ section, oldKey }); + setNewPropertyKey(oldKey); + }; + const handleRenamePropertyCancel = () => { + setEditingPropertyKey({ section: null, oldKey: null }); + setNewPropertyKey(''); + }; + const handleRenameProperty = () => { + if ( + editingPropertyKey.section && + editingPropertyKey.oldKey && + newPropertyKey.trim() !== '' && + newPropertyKey.trim() !== editingPropertyKey.oldKey + ) { + setAction((prevAction) => { + const { section, oldKey } = editingPropertyKey; + if (section && oldKey) { + const { [oldKey]: oldProperty, ...restProperties } = + prevAction[section].properties; + const updatedProperties = { + ...restProperties, + [newPropertyKey.trim()]: oldProperty, + }; + return { + ...prevAction, + [section]: { + ...prevAction[section], + properties: updatedProperties, + }, + }; + } + return prevAction; + }); + setEditingPropertyKey({ section: null, oldKey: null }); + setNewPropertyKey(''); + } + }; + + const handlePorpertyDelete = ( + section: 'headers' | 'query_params' | 'body', + key: string, + ) => { + setAction((prevAction) => { + const { [key]: deletedProperty, ...restProperties } = + prevAction[section].properties; + return { + ...prevAction, + [section]: { + ...prevAction[section], + properties: restProperties, + }, + }; + }); + }; + + React.useEffect(() => { + setAction(apiAction); + }, [apiAction]); + + React.useEffect(() => { + handleActionChange(action.name, action); + }, [action]); + const renderPropertiesTable = ( + section: 'headers' | 'query_params' | 'body', + ) => { + return ( + <> + {Object.entries(action[section].properties).map( + ([key, param], index) => ( + + + {editingPropertyKey.section === section && + editingPropertyKey.oldKey === key ? ( +
+ setNewPropertyKey(e.target.value)} + onKeyDown={(e) => { + if (e.key === 'Enter') { + handleRenameProperty(); + } + }} + /> +
+ + +
+
+ ) : ( + handleRenamePropertyStart(section, key)} + readOnly + /> + )} + + {param.type} + + + + + + handlePropertyChange( + section, + key, + 'description', + e.target.value, + ) + } + > + + + + handlePropertyChange(section, key, 'value', e.target.value) + } + className={`rounded-lg border border-silver bg-transparent px-2 py-1 text-sm outline-none dark:border-silver/40 ${param.filled_by_llm ? 'opacity-50' : ''}`} + > + + + + + + ), + )} + {addingPropertySection === section ? ( + + + setNewPropertyKey(e.target.value)} + onKeyDown={(e) => { + if (e.key === 'Enter') { + handleAddProperty(); + } + }} + placeholder={t('settings.tools.propertyName')} + className="flex w-full min-w-[130.5px] items-start rounded-lg border border-silver bg-transparent px-2 py-1 text-sm outline-none dark:border-silver/40" + /> + + + + + + + + ) : ( + + + + + + + )} + + ); + }; + return ( +
+
+

+ {t('settings.tools.headers')} +

+ + + + + + + + + + + + {renderPropertiesTable('headers')} +
+ {t('settings.tools.name')} + + {t('settings.tools.type')} + + {t('settings.tools.filledByLLM')} + + {t('settings.tools.description')} + + {t('settings.tools.value')} +
+
+
+

+ {t('settings.tools.queryParameters')} +

+ + + + + + + + + + + + {renderPropertiesTable('query_params')} +
+ {t('settings.tools.name')} + + {t('settings.tools.type')} + + {t('settings.tools.filledByLLM')} + + {t('settings.tools.description')} + + {t('settings.tools.value')} +
+
+
+

+ {t('settings.tools.body')} +

+ + + + + + + + + + + + {renderPropertiesTable('body')} +
+ {t('settings.tools.name')} + + {t('settings.tools.type')} + + {t('settings.tools.filledByLLM')} + + {t('settings.tools.description')} + + {t('settings.tools.value')} +
+
+
+ ); +} diff --git a/frontend/src/settings/Tools.tsx b/frontend/src/settings/Tools.tsx new file mode 100644 index 00000000..a3d37557 --- /dev/null +++ b/frontend/src/settings/Tools.tsx @@ -0,0 +1,301 @@ +import React from 'react'; +import { useTranslation } from 'react-i18next'; +import { useSelector } from 'react-redux'; + +import userService from '../api/services/userService'; +import ThreeDotsIcon from '../assets/three-dots.svg'; +import NoFilesIcon from '../assets/no-files.svg'; +import NoFilesDarkIcon from '../assets/no-files-dark.svg'; +import Input from '../components/Input'; +import Spinner from '../components/Spinner'; +import ToggleSwitch from '../components/ToggleSwitch'; +import { useDarkTheme } from '../hooks'; +import AddToolModal from '../modals/AddToolModal'; +import { ActiveState } from '../models/misc'; +import { selectToken } from '../preferences/preferenceSlice'; +import ToolConfig from './ToolConfig'; +import { APIToolType, UserToolType } from './types'; +import ContextMenu, { MenuOption } from '../components/ContextMenu'; +import Edit from '../assets/edit.svg'; +import Trash from '../assets/red-trash.svg'; +import ConfirmationModal from '../modals/ConfirmationModal'; + +export default function Tools() { + const { t } = useTranslation(); + const token = useSelector(selectToken); + const [isDarkTheme] = useDarkTheme(); + + const [searchTerm, setSearchTerm] = React.useState(''); + const [addToolModalState, setAddToolModalState] = + React.useState('INACTIVE'); + const [userTools, setUserTools] = React.useState([]); + const [selectedTool, setSelectedTool] = React.useState< + UserToolType | APIToolType | null + >(null); + const [loading, setLoading] = React.useState(false); + const [activeMenuId, setActiveMenuId] = React.useState(null); + const menuRefs = React.useRef<{ + [key: string]: React.RefObject; + }>({}); + const [deleteModalState, setDeleteModalState] = + React.useState('INACTIVE'); + const [toolToDelete, setToolToDelete] = React.useState( + null, + ); + + React.useEffect(() => { + userTools.forEach((tool) => { + if (!menuRefs.current[tool.id]) { + menuRefs.current[tool.id] = React.createRef(); + } + }); + }, [userTools]); + + const handleDeleteTool = (tool: UserToolType) => { + setToolToDelete(tool); + setDeleteModalState('ACTIVE'); + }; + + const confirmDeleteTool = () => { + if (toolToDelete) { + userService.deleteTool({ id: toolToDelete.id }, token).then(() => { + getUserTools(); + setDeleteModalState('INACTIVE'); + setToolToDelete(null); + }); + } + }; + + const getMenuOptions = (tool: UserToolType): MenuOption[] => [ + { + icon: Edit, + label: t('settings.tools.edit'), + onClick: () => handleSettingsClick(tool), + variant: 'primary', + iconWidth: 14, + iconHeight: 14, + }, + { + icon: Trash, + label: t('settings.tools.delete'), + onClick: () => handleDeleteTool(tool), + variant: 'danger', + iconWidth: 12, + iconHeight: 12, + }, + ]; + + const getUserTools = () => { + setLoading(true); + userService + .getUserTools(token) + .then((res) => { + return res.json(); + }) + .then((data) => { + setUserTools(data.tools); + setLoading(false); + }) + .catch((error) => { + console.error('Error fetching tools:', error); + setLoading(false); + }); + }; + + const updateToolStatus = (toolId: string, newStatus: boolean) => { + userService + .updateToolStatus({ id: toolId, status: newStatus }, token) + .then(() => { + setUserTools((prevTools) => + prevTools.map((tool) => + tool.id === toolId ? { ...tool, status: newStatus } : tool, + ), + ); + }) + .catch((error) => { + console.error('Failed to update tool status:', error); + }); + }; + + const handleSettingsClick = (tool: UserToolType) => { + setSelectedTool(tool); + }; + + const handleGoBack = () => { + setSelectedTool(null); + getUserTools(); + }; + + const handleToolAdded = (toolId: string) => { + userService + .getUserTools(token) + .then((res) => res.json()) + .then((data) => { + const newTool = data.tools.find( + (tool: UserToolType) => tool.id === toolId, + ); + if (newTool) { + setSelectedTool(newTool); + } else { + console.error('Newly added tool not found'); + } + }) + .catch((error) => console.error('Error fetching tools:', error)); + }; + + React.useEffect(() => { + getUserTools(); + }, []); + return ( +
+ {selectedTool ? ( + + ) : ( +
+
+
+
+ setSearchTerm(e.target.value)} + borderVariant="thin" + /> +
+ +
+
+ {loading ? ( +
+
+ +
+
+ ) : ( +
+ {userTools.length === 0 ? ( +
+ No tools found +

+ {t('settings.tools.noToolsFound')} +

+
+ ) : ( + userTools + .filter((tool) => + (tool.customName || tool.displayName) + .toLowerCase() + .includes(searchTerm.toLowerCase()), + ) + .map((tool, index) => ( +
+
{ + e.stopPropagation(); + setActiveMenuId( + activeMenuId === tool.id ? null : tool.id, + ); + }} + className="absolute right-4 top-4 z-10 cursor-pointer" + > + {t('settings.tools.settingsIconAlt')} + { + setActiveMenuId(isOpen ? tool.id : null); + }} + options={getMenuOptions(tool)} + anchorRef={menuRefs.current[tool.id]} + position="bottom-right" + offset={{ x: 0, y: 0 }} + /> +
+
+
+ {`${tool.displayName} +
+
+

+ {tool.customName || tool.displayName} +

+

+ {tool.description} +

+
+
+
+ + updateToolStatus(tool.id, checked) + } + size="small" + id={`toolToggle-${index}`} + ariaLabel={t('settings.tools.toggleToolAria', { + toolName: tool.customName || tool.displayName, + })} + /> +
+
+ )) + )} +
+ )} +
+ + +
+ )} +
+ ); +} diff --git a/frontend/src/settings/Widgets.tsx b/frontend/src/settings/Widgets.tsx new file mode 100644 index 00000000..27066dc3 --- /dev/null +++ b/frontend/src/settings/Widgets.tsx @@ -0,0 +1,112 @@ +import React from 'react'; +import Dropdown from '../components/Dropdown'; + +const Widgets: React.FC<{ + widgetScreenshot: File | null; + onWidgetScreenshotChange: (screenshot: File | null) => void; +}> = ({ widgetScreenshot, onWidgetScreenshotChange }) => { + const widgetSources = ['Source 1', 'Source 2', 'Source 3']; + const widgetMethods = ['Method 1', 'Method 2', 'Method 3']; + const widgetTypes = ['Type 1', 'Type 2', 'Type 3']; + + const [selectedWidgetSource, setSelectedWidgetSource] = React.useState( + widgetSources[0], + ); + const [selectedWidgetMethod, setSelectedWidgetMethod] = React.useState( + widgetMethods[0], + ); + const [selectedWidgetType, setSelectedWidgetType] = React.useState( + widgetTypes[0], + ); + + // const [widgetScreenshot, setWidgetScreenshot] = useState(null); + const [widgetCode, setWidgetCode] = React.useState(''); // Your widget code state + + const handleScreenshotChange = ( + event: React.ChangeEvent, + ) => { + const files = event.target.files; + + if (files && files.length > 0) { + const selectedScreenshot = files[0]; + onWidgetScreenshotChange(selectedScreenshot); // Update the screenshot in the parent component + } + }; + + const handleCopyToClipboard = () => { + // Create a new textarea element to select the text + const textArea = document.createElement('textarea'); + textArea.value = widgetCode; + document.body.appendChild(textArea); + + // Select and copy the text + textArea.select(); + document.execCommand('copy'); + + // Clean up the textarea element + document.body.removeChild(textArea); + }; + + return ( +
+
+

Widget Source

+ +
+
+

Widget Method

+ +
+
+

Widget Type

+ +
+
+

Widget Code Snippet

+