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Author SHA1 Message Date
dependabot[bot]
a5db3d2019 chore(deps): bump actions/labeler from 5 to 6
Bumps [actions/labeler](https://github.com/actions/labeler) from 5 to 6.
- [Release notes](https://github.com/actions/labeler/releases)
- [Commits](https://github.com/actions/labeler/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/labeler
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-09-04 20:22:45 +00:00
178 changed files with 6086 additions and 17330 deletions

View File

@@ -10,7 +10,7 @@ jobs:
pull-requests: write
runs-on: ubuntu-latest
steps:
- uses: actions/labeler@v5
- uses: actions/labeler@v6
with:
repo-token: "${{ secrets.GITHUB_TOKEN }}"
sync-labels: true

33
.vscode/launch.json vendored
View File

@@ -2,11 +2,15 @@
"version": "0.2.0",
"configurations": [
{
"name": "Frontend Debug (npm)",
"type": "node-terminal",
"name": "Docker Debug Frontend",
"request": "launch",
"command": "npm run dev",
"cwd": "${workspaceFolder}/frontend"
"type": "chrome",
"preLaunchTask": "docker-compose: debug:frontend",
"url": "http://127.0.0.1:5173",
"webRoot": "${workspaceFolder}/frontend",
"skipFiles": [
"<node_internals>/**"
]
},
{
"name": "Flask Debugger",
@@ -45,27 +49,6 @@
"--pool=solo"
],
"cwd": "${workspaceFolder}"
},
{
"name": "Dev Containers (Mongo + Redis)",
"type": "node-terminal",
"request": "launch",
"command": "docker compose -f deployment/docker-compose-dev.yaml up --build",
"cwd": "${workspaceFolder}"
}
],
"compounds": [
{
"name": "DocsGPT: Full Stack",
"configurations": [
"Frontend Debug (npm)",
"Flask Debugger",
"Celery Debugger"
],
"presentation": {
"group": "DocsGPT",
"order": 1
}
}
]
}

21
.vscode/tasks.json vendored Normal file
View File

@@ -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"
]
}
}
]
}

View File

@@ -1,38 +0,0 @@
# **🎉 Join the Hacktoberfest with DocsGPT and win a Free T-shirt for a meaningful PR! 🎉**
Welcome, contributors! We're excited to announce that DocsGPT is participating in Hacktoberfest. Get involved by submitting meaningful pull requests.
All Meaningful contributors with accepted PRs that were created for issues with the `hacktoberfest` label (set by our maintainer team: dartpain, siiddhantt, pabik, ManishMadan2882) will receive a cool T-shirt! 🤩.
Fill in [this form](https://forms.gle/Npaba4n9Epfyx56S8
) after your PR was merged please
If you are in doubt don't hesitate to ping us on discord, ping me - Alex (dartpain).
## 📜 Here's How to Contribute:
```text
🛠️ Code: This is the golden ticket! Make meaningful contributions through PRs.
🧩 API extension: Build an app utilising DocsGPT API. We prefer submissions that showcase original ideas and turn the API into an AI agent.
They can be a completely separate repos.
For example:
https://github.com/arc53/tg-bot-docsgpt-extenstion or
https://github.com/arc53/DocsGPT-cli
Non-Code Contributions:
📚 Wiki: Improve our documentation, create a guide.
🖥️ Design: Improve the UI/UX or design a new feature.
```
### 📝 Guidelines for Pull Requests:
- Familiarize yourself with the current contributions and our [Roadmap](https://github.com/orgs/arc53/projects/2).
- Before contributing check existing [issues](https://github.com/arc53/DocsGPT/issues) or [create](https://github.com/arc53/DocsGPT/issues/new/choose) an issue and wait to get assigned.
- Once you are finished with your contribution, please fill in this [form](https://forms.gle/Npaba4n9Epfyx56S8).
- Refer to the [Documentation](https://docs.docsgpt.cloud/).
- Feel free to join our [Discord](https://discord.gg/n5BX8dh8rU) server. We're here to help newcomers, so don't hesitate to jump in! Join us [here](https://discord.gg/n5BX8dh8rU).
Thank you very much for considering contributing to DocsGPT during Hacktoberfest! 🙏 Your contributions (not just simple typos) could earn you a stylish new t-shirt.
We will publish a t-shirt design later into the October.

View File

@@ -17,7 +17,7 @@
<a href="https://github.com/arc53/DocsGPT/blob/main/LICENSE">![link to license file](https://img.shields.io/github/license/arc53/docsgpt)</a>
<a href="https://www.bestpractices.dev/projects/9907"><img src="https://www.bestpractices.dev/projects/9907/badge"></a>
<a href="https://discord.gg/n5BX8dh8rU">![link to discord](https://img.shields.io/discord/1070046503302877216)</a>
<a href="https://x.com/docsgptai">![X (formerly Twitter) URL](https://img.shields.io/twitter/follow/docsgptai)</a>
<a href="https://twitter.com/docsgptai">![X (formerly Twitter) URL](https://img.shields.io/twitter/follow/docsgptai)</a>
<a href="https://docs.docsgpt.cloud/quickstart">⚡️ Quickstart</a><a href="https://app.docsgpt.cloud/">☁️ Cloud Version</a><a href="https://discord.gg/n5BX8dh8rU">💬 Discord</a>
<br>
@@ -25,17 +25,7 @@
<br>
</div>
<div align="center">
<br>
🎃 <a href="https://github.com/arc53/DocsGPT/blob/main/HACKTOBERFEST.md"> Hacktoberfest Prizes, Rules & Q&A </a> 🎃
<br>
<br>
</div>
<div align="center">
<br>
<img src="https://d3dg1063dc54p9.cloudfront.net/videos/demov7.gif" alt="video-example-of-docs-gpt" width="800" height="450">
</div>
<h3 align="left">
@@ -65,11 +55,9 @@
- [x] Agent optimisations (May 2025)
- [x] Filesystem sources update (July 2025)
- [x] Json Responses (August 2025)
- [x] MCP support (August 2025)
- [x] Google Drive integration (September 2025)
- [x] Add OAuth 2.0 authentication for MCP (September 2025)
- [ ] Sharepoint integration (October 2025)
- [ ] Deep Agents (October 2025)
- [ ] Sharepoint integration (August 2025)
- [ ] MCP support (August 2025)
- [ ] Add OAuth 2.0 authentication for tools and sources (August 2025)
- [ ] 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!

View File

@@ -140,28 +140,28 @@ class BaseAgent(ABC):
tool_id, action_name, call_args = parser.parse_args(call)
call_id = getattr(call, "id", None) or str(uuid.uuid4())
# Check if parsing failed
if tool_id is None or action_name is None:
error_message = f"Error: Failed to parse LLM tool call. Tool name: {getattr(call, 'name', 'unknown')}"
logger.error(error_message)
tool_call_data = {
"tool_name": "unknown",
"call_id": call_id,
"action_name": getattr(call, "name", "unknown"),
"action_name": getattr(call, 'name', 'unknown'),
"arguments": call_args or {},
"result": f"Failed to parse tool call. Invalid tool name format: {getattr(call, 'name', 'unknown')}",
}
yield {"type": "tool_call", "data": {**tool_call_data, "status": "error"}}
self.tool_calls.append(tool_call_data)
return "Failed to parse tool call.", call_id
# Check if tool_id exists in available tools
if tool_id not in tools_dict:
error_message = f"Error: Tool ID '{tool_id}' extracted from LLM call not found in available tools_dict. Available IDs: {list(tools_dict.keys())}"
logger.error(error_message)
# Return error result
tool_call_data = {
"tool_name": "unknown",
@@ -173,7 +173,7 @@ class BaseAgent(ABC):
yield {"type": "tool_call", "data": {**tool_call_data, "status": "error"}}
self.tool_calls.append(tool_call_data)
return f"Tool with ID {tool_id} not found.", call_id
tool_call_data = {
"tool_name": tools_dict[tool_id]["name"],
"call_id": call_id,
@@ -213,25 +213,18 @@ class BaseAgent(ABC):
):
target_dict[param] = value
tm = ToolManager(config={})
# Prepare tool_config and add tool_id for memory tools
if tool_data["name"] == "api_tool":
tool_config = {
"url": tool_data["config"]["actions"][action_name]["url"],
"method": tool_data["config"]["actions"][action_name]["method"],
"headers": headers,
"query_params": query_params,
}
else:
tool_config = tool_data["config"].copy() if tool_data["config"] else {}
# Add tool_id from MongoDB _id for tools that need instance isolation (like memory tool)
# Use MongoDB _id if available, otherwise fall back to enumerated tool_id
tool_config["tool_id"] = str(tool_data.get("_id", tool_id))
tool = tm.load_tool(
tool_data["name"],
tool_config=tool_config,
user_id=self.user, # Pass user ID for MCP tools credential decryption
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(
@@ -270,15 +263,7 @@ class BaseAgent(ABC):
query: str,
retrieved_data: List[Dict],
) -> List[Dict]:
docs_with_filenames = []
for doc in retrieved_data:
filename = doc.get("filename") or doc.get("title") or doc.get("source")
if filename:
chunk_header = str(filename)
docs_with_filenames.append(f"{chunk_header}\n{doc['text']}")
else:
docs_with_filenames.append(doc["text"])
docs_together = "\n\n".join(docs_with_filenames)
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}]

View File

@@ -1,861 +0,0 @@
import asyncio
import base64
import json
import logging
import time
from typing import Any, Dict, List, Optional
from urllib.parse import parse_qs, urlparse
from application.agents.tools.base import Tool
from application.api.user.tasks import mcp_oauth_status_task, mcp_oauth_task
from application.cache import get_redis_instance
from application.core.mongo_db import MongoDB
from application.core.settings import settings
from application.security.encryption import decrypt_credentials
from fastmcp import Client
from fastmcp.client.auth import BearerAuth
from fastmcp.client.transports import (
SSETransport,
StdioTransport,
StreamableHttpTransport,
)
from mcp.client.auth import OAuthClientProvider, TokenStorage
from mcp.shared.auth import OAuthClientInformationFull, OAuthClientMetadata, OAuthToken
from pydantic import AnyHttpUrl, ValidationError
from redis import Redis
mongo = MongoDB.get_client()
db = mongo[settings.MONGO_DB_NAME]
_mcp_clients_cache = {}
class MCPTool(Tool):
"""
MCP Tool
Connect to remote Model Context Protocol (MCP) servers to access dynamic tools and resources.
"""
def __init__(self, config: Dict[str, Any], user_id: Optional[str] = None):
"""
Initialize the MCP Tool with configuration.
Args:
config: Dictionary containing MCP server configuration:
- server_url: URL of the remote MCP server
- transport_type: Transport type (auto, sse, http, stdio)
- auth_type: Type of authentication (bearer, oauth, api_key, basic, none)
- encrypted_credentials: Encrypted credentials (if available)
- timeout: Request timeout in seconds (default: 30)
- headers: Custom headers for requests
- command: Command for STDIO transport
- args: Arguments for STDIO transport
- oauth_scopes: OAuth scopes for oauth auth type
- oauth_client_name: OAuth client name for oauth auth type
user_id: User ID for decrypting credentials (required if encrypted_credentials exist)
"""
self.config = config
self.user_id = user_id
self.server_url = config.get("server_url", "")
self.transport_type = config.get("transport_type", "auto")
self.auth_type = config.get("auth_type", "none")
self.timeout = config.get("timeout", 30)
self.custom_headers = config.get("headers", {})
self.auth_credentials = {}
if config.get("encrypted_credentials") and user_id:
self.auth_credentials = decrypt_credentials(
config["encrypted_credentials"], user_id
)
else:
self.auth_credentials = config.get("auth_credentials", {})
self.oauth_scopes = config.get("oauth_scopes", [])
self.oauth_task_id = config.get("oauth_task_id", None)
self.oauth_client_name = config.get("oauth_client_name", "DocsGPT-MCP")
self.redirect_uri = f"{settings.API_URL}/api/mcp_server/callback"
self.available_tools = []
self._cache_key = self._generate_cache_key()
self._client = None
# Only validate and setup if server_url is provided and not OAuth
if self.server_url and self.auth_type != "oauth":
self._setup_client()
def _generate_cache_key(self) -> str:
"""Generate a unique cache key for this MCP server configuration."""
auth_key = ""
if self.auth_type == "oauth":
scopes_str = ",".join(self.oauth_scopes) if self.oauth_scopes else "none"
auth_key = f"oauth:{self.oauth_client_name}:{scopes_str}"
elif self.auth_type in ["bearer"]:
token = self.auth_credentials.get(
"bearer_token", ""
) or self.auth_credentials.get("access_token", "")
auth_key = f"bearer:{token[:10]}..." if token else "bearer:none"
elif self.auth_type == "api_key":
api_key = self.auth_credentials.get("api_key", "")
auth_key = f"apikey:{api_key[:10]}..." if api_key else "apikey:none"
elif self.auth_type == "basic":
username = self.auth_credentials.get("username", "")
auth_key = f"basic:{username}"
else:
auth_key = "none"
return f"{self.server_url}#{self.transport_type}#{auth_key}"
def _setup_client(self):
"""Setup FastMCP client with proper transport and authentication."""
global _mcp_clients_cache
if self._cache_key in _mcp_clients_cache:
cached_data = _mcp_clients_cache[self._cache_key]
if time.time() - cached_data["created_at"] < 1800:
self._client = cached_data["client"]
return
else:
del _mcp_clients_cache[self._cache_key]
transport = self._create_transport()
auth = None
if self.auth_type == "oauth":
redis_client = get_redis_instance()
auth = DocsGPTOAuth(
mcp_url=self.server_url,
scopes=self.oauth_scopes,
redis_client=redis_client,
redirect_uri=self.redirect_uri,
task_id=self.oauth_task_id,
db=db,
user_id=self.user_id,
)
elif self.auth_type == "bearer":
token = self.auth_credentials.get(
"bearer_token", ""
) or self.auth_credentials.get("access_token", "")
if token:
auth = BearerAuth(token)
self._client = Client(transport, auth=auth)
_mcp_clients_cache[self._cache_key] = {
"client": self._client,
"created_at": time.time(),
}
def _create_transport(self):
"""Create appropriate transport based on configuration."""
headers = {"Content-Type": "application/json", "User-Agent": "DocsGPT-MCP/1.0"}
headers.update(self.custom_headers)
if self.auth_type == "api_key":
api_key = self.auth_credentials.get("api_key", "")
header_name = self.auth_credentials.get("api_key_header", "X-API-Key")
if api_key:
headers[header_name] = api_key
elif self.auth_type == "basic":
username = self.auth_credentials.get("username", "")
password = self.auth_credentials.get("password", "")
if username and password:
credentials = base64.b64encode(
f"{username}:{password}".encode()
).decode()
headers["Authorization"] = f"Basic {credentials}"
if self.transport_type == "auto":
if "sse" in self.server_url.lower() or self.server_url.endswith("/sse"):
transport_type = "sse"
else:
transport_type = "http"
else:
transport_type = self.transport_type
if transport_type == "sse":
headers.update({"Accept": "text/event-stream", "Cache-Control": "no-cache"})
return SSETransport(url=self.server_url, headers=headers)
elif transport_type == "http":
return StreamableHttpTransport(url=self.server_url, headers=headers)
elif transport_type == "stdio":
command = self.config.get("command", "python")
args = self.config.get("args", [])
env = self.auth_credentials if self.auth_credentials else None
return StdioTransport(command=command, args=args, env=env)
else:
return StreamableHttpTransport(url=self.server_url, headers=headers)
def _format_tools(self, tools_response) -> List[Dict]:
"""Format tools response to match expected format."""
if hasattr(tools_response, "tools"):
tools = tools_response.tools
elif isinstance(tools_response, list):
tools = tools_response
else:
tools = []
tools_dict = []
for tool in tools:
if hasattr(tool, "name"):
tool_dict = {
"name": tool.name,
"description": tool.description,
}
if hasattr(tool, "inputSchema"):
tool_dict["inputSchema"] = tool.inputSchema
tools_dict.append(tool_dict)
elif isinstance(tool, dict):
tools_dict.append(tool)
else:
if hasattr(tool, "model_dump"):
tools_dict.append(tool.model_dump())
else:
tools_dict.append({"name": str(tool), "description": ""})
return tools_dict
async def _execute_with_client(self, operation: str, *args, **kwargs):
"""Execute operation with FastMCP client."""
if not self._client:
raise Exception("FastMCP client not initialized")
async with self._client:
if operation == "ping":
return await self._client.ping()
elif operation == "list_tools":
tools_response = await self._client.list_tools()
self.available_tools = self._format_tools(tools_response)
return self.available_tools
elif operation == "call_tool":
tool_name = args[0]
tool_args = kwargs
return await self._client.call_tool(tool_name, tool_args)
elif operation == "list_resources":
return await self._client.list_resources()
elif operation == "list_prompts":
return await self._client.list_prompts()
else:
raise Exception(f"Unknown operation: {operation}")
def _run_async_operation(self, operation: str, *args, **kwargs):
"""Run async operation in sync context."""
try:
try:
loop = asyncio.get_running_loop()
import concurrent.futures
def run_in_thread():
new_loop = asyncio.new_event_loop()
asyncio.set_event_loop(new_loop)
try:
return new_loop.run_until_complete(
self._execute_with_client(operation, *args, **kwargs)
)
finally:
new_loop.close()
with concurrent.futures.ThreadPoolExecutor() as executor:
future = executor.submit(run_in_thread)
return future.result(timeout=self.timeout)
except RuntimeError:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
return loop.run_until_complete(
self._execute_with_client(operation, *args, **kwargs)
)
finally:
loop.close()
except Exception as e:
print(f"Error occurred while running async operation: {e}")
raise
def discover_tools(self) -> List[Dict]:
"""
Discover available tools from the MCP server using FastMCP.
Returns:
List of tool definitions from the server
"""
if not self.server_url:
return []
if not self._client:
self._setup_client()
try:
tools = self._run_async_operation("list_tools")
self.available_tools = tools
return self.available_tools
except Exception as e:
raise Exception(f"Failed to discover tools from MCP server: {str(e)}")
def execute_action(self, action_name: str, **kwargs) -> Any:
"""
Execute an action on the remote MCP server using FastMCP.
Args:
action_name: Name of the action to execute
**kwargs: Parameters for the action
Returns:
Result from the MCP server
"""
if not self.server_url:
raise Exception("No MCP server configured")
if not self._client:
self._setup_client()
cleaned_kwargs = {}
for key, value in kwargs.items():
if value == "" or value is None:
continue
cleaned_kwargs[key] = value
try:
result = self._run_async_operation(
"call_tool", action_name, **cleaned_kwargs
)
return self._format_result(result)
except Exception as e:
raise Exception(f"Failed to execute action '{action_name}': {str(e)}")
def _format_result(self, result) -> Dict:
"""Format FastMCP result to match expected format."""
if hasattr(result, "content"):
content_list = []
for content_item in result.content:
if hasattr(content_item, "text"):
content_list.append({"type": "text", "text": content_item.text})
elif hasattr(content_item, "data"):
content_list.append({"type": "data", "data": content_item.data})
else:
content_list.append(
{"type": "unknown", "content": str(content_item)}
)
return {
"content": content_list,
"isError": getattr(result, "isError", False),
}
else:
return result
def test_connection(self) -> Dict:
"""
Test the connection to the MCP server and validate functionality.
Returns:
Dictionary with connection test results including tool count
"""
if not self.server_url:
return {
"success": False,
"message": "No MCP server URL configured",
"tools_count": 0,
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"error_type": "ConfigurationError",
}
if not self._client:
self._setup_client()
try:
if self.auth_type == "oauth":
return self._test_oauth_connection()
else:
return self._test_regular_connection()
except Exception as e:
return {
"success": False,
"message": f"Connection failed: {str(e)}",
"tools_count": 0,
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"error_type": type(e).__name__,
}
def _test_regular_connection(self) -> Dict:
"""Test connection for non-OAuth auth types."""
try:
self._run_async_operation("ping")
ping_success = True
except Exception:
ping_success = False
tools = self.discover_tools()
message = f"Successfully connected to MCP server. Found {len(tools)} tools."
if not ping_success:
message += " (Ping not supported, but tool discovery worked)"
return {
"success": True,
"message": message,
"tools_count": len(tools),
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"ping_supported": ping_success,
"tools": [tool.get("name", "unknown") for tool in tools],
}
def _test_oauth_connection(self) -> Dict:
"""Test connection for OAuth auth type with proper async handling."""
try:
task = mcp_oauth_task.delay(config=self.config, user=self.user_id)
if not task:
raise Exception("Failed to start OAuth authentication")
return {
"success": True,
"requires_oauth": True,
"task_id": task.id,
"status": "pending",
"message": "OAuth flow started",
}
except Exception as e:
return {
"success": False,
"message": f"OAuth connection failed: {str(e)}",
"tools_count": 0,
"transport_type": self.transport_type,
"auth_type": self.auth_type,
"error_type": type(e).__name__,
}
def get_actions_metadata(self) -> List[Dict]:
"""
Get metadata for all available actions.
Returns:
List of action metadata dictionaries
"""
actions = []
for tool in self.available_tools:
input_schema = (
tool.get("inputSchema")
or tool.get("input_schema")
or tool.get("schema")
or tool.get("parameters")
)
parameters_schema = {
"type": "object",
"properties": {},
"required": [],
}
if input_schema:
if isinstance(input_schema, dict):
if "properties" in input_schema:
parameters_schema = {
"type": input_schema.get("type", "object"),
"properties": input_schema.get("properties", {}),
"required": input_schema.get("required", []),
}
for key in ["additionalProperties", "description"]:
if key in input_schema:
parameters_schema[key] = input_schema[key]
else:
parameters_schema["properties"] = input_schema
action = {
"name": tool.get("name", ""),
"description": tool.get("description", ""),
"parameters": parameters_schema,
}
actions.append(action)
return actions
def get_config_requirements(self) -> Dict:
"""Get configuration requirements for the MCP tool."""
return {
"server_url": {
"type": "string",
"description": "URL of the remote MCP server (e.g., https://api.example.com/mcp or https://docs.mcp.cloudflare.com/sse)",
"required": True,
},
"transport_type": {
"type": "string",
"description": "Transport type for connection",
"enum": ["auto", "sse", "http", "stdio"],
"default": "auto",
"required": False,
"help": {
"auto": "Automatically detect best transport",
"sse": "Server-Sent Events (for real-time streaming)",
"http": "HTTP streaming (recommended for production)",
"stdio": "Standard I/O (for local servers)",
},
},
"auth_type": {
"type": "string",
"description": "Authentication type",
"enum": ["none", "bearer", "oauth", "api_key", "basic"],
"default": "none",
"required": True,
"help": {
"none": "No authentication",
"bearer": "Bearer token authentication",
"oauth": "OAuth 2.1 authentication (with frontend integration)",
"api_key": "API key authentication",
"basic": "Basic authentication",
},
},
"auth_credentials": {
"type": "object",
"description": "Authentication credentials (varies by auth_type)",
"required": False,
"properties": {
"bearer_token": {
"type": "string",
"description": "Bearer token for bearer auth",
},
"access_token": {
"type": "string",
"description": "Access token for OAuth (if pre-obtained)",
},
"api_key": {
"type": "string",
"description": "API key for api_key auth",
},
"api_key_header": {
"type": "string",
"description": "Header name for API key (default: X-API-Key)",
},
"username": {
"type": "string",
"description": "Username for basic auth",
},
"password": {
"type": "string",
"description": "Password for basic auth",
},
},
},
"oauth_scopes": {
"type": "array",
"description": "OAuth scopes to request (for oauth auth_type)",
"items": {"type": "string"},
"required": False,
"default": [],
},
"oauth_client_name": {
"type": "string",
"description": "Client name for OAuth registration (for oauth auth_type)",
"default": "DocsGPT-MCP",
"required": False,
},
"headers": {
"type": "object",
"description": "Custom headers to send with requests",
"required": False,
},
"timeout": {
"type": "integer",
"description": "Request timeout in seconds",
"default": 30,
"minimum": 1,
"maximum": 300,
"required": False,
},
"command": {
"type": "string",
"description": "Command to run for STDIO transport (e.g., 'python')",
"required": False,
},
"args": {
"type": "array",
"description": "Arguments for STDIO command",
"items": {"type": "string"},
"required": False,
},
}
class DocsGPTOAuth(OAuthClientProvider):
"""
Custom OAuth handler for DocsGPT that uses frontend redirect instead of browser.
"""
def __init__(
self,
mcp_url: str,
redirect_uri: str,
redis_client: Redis | None = None,
redis_prefix: str = "mcp_oauth:",
task_id: str = None,
scopes: str | list[str] | None = None,
client_name: str = "DocsGPT-MCP",
user_id=None,
db=None,
additional_client_metadata: dict[str, Any] | None = None,
):
"""
Initialize custom OAuth client provider for DocsGPT.
Args:
mcp_url: Full URL to the MCP endpoint
redirect_uri: Custom redirect URI for DocsGPT frontend
redis_client: Redis client for storing auth state
redis_prefix: Prefix for Redis keys
task_id: Task ID for tracking auth status
scopes: OAuth scopes to request
client_name: Name for this client during registration
user_id: User ID for token storage
db: Database instance for token storage
additional_client_metadata: Extra fields for OAuthClientMetadata
"""
self.redirect_uri = redirect_uri
self.redis_client = redis_client
self.redis_prefix = redis_prefix
self.task_id = task_id
self.user_id = user_id
self.db = db
parsed_url = urlparse(mcp_url)
self.server_base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
if isinstance(scopes, list):
scopes = " ".join(scopes)
client_metadata = OAuthClientMetadata(
client_name=client_name,
redirect_uris=[AnyHttpUrl(redirect_uri)],
grant_types=["authorization_code", "refresh_token"],
response_types=["code"],
scope=scopes,
**(additional_client_metadata or {}),
)
storage = DBTokenStorage(
server_url=self.server_base_url, user_id=self.user_id, db_client=self.db
)
super().__init__(
server_url=self.server_base_url,
client_metadata=client_metadata,
storage=storage,
redirect_handler=self.redirect_handler,
callback_handler=self.callback_handler,
)
self.auth_url = None
self.extracted_state = None
def _process_auth_url(self, authorization_url: str) -> tuple[str, str]:
"""Process authorization URL to extract state"""
try:
parsed_url = urlparse(authorization_url)
query_params = parse_qs(parsed_url.query)
state_params = query_params.get("state", [])
if state_params:
state = state_params[0]
else:
raise ValueError("No state in auth URL")
return authorization_url, state
except Exception as e:
raise Exception(f"Failed to process auth URL: {e}")
async def redirect_handler(self, authorization_url: str) -> None:
"""Store auth URL and state in Redis for frontend to use."""
auth_url, state = self._process_auth_url(authorization_url)
logging.info(
"[DocsGPTOAuth] Processed auth_url: %s, state: %s", auth_url, state
)
self.auth_url = auth_url
self.extracted_state = state
if self.redis_client and self.extracted_state:
key = f"{self.redis_prefix}auth_url:{self.extracted_state}"
self.redis_client.setex(key, 600, auth_url)
logging.info("[DocsGPTOAuth] Stored auth_url in Redis: %s", key)
if self.task_id:
status_key = f"mcp_oauth_status:{self.task_id}"
status_data = {
"status": "requires_redirect",
"message": "OAuth authorization required",
"authorization_url": self.auth_url,
"state": self.extracted_state,
"requires_oauth": True,
"task_id": self.task_id,
}
self.redis_client.setex(status_key, 600, json.dumps(status_data))
async def callback_handler(self) -> tuple[str, str | None]:
"""Wait for auth code from Redis using the state value."""
if not self.redis_client or not self.extracted_state:
raise Exception("Redis client or state not configured for OAuth")
poll_interval = 1
max_wait_time = 300
code_key = f"{self.redis_prefix}code:{self.extracted_state}"
if self.task_id:
status_key = f"mcp_oauth_status:{self.task_id}"
status_data = {
"status": "awaiting_callback",
"message": "Waiting for OAuth callback...",
"authorization_url": self.auth_url,
"state": self.extracted_state,
"requires_oauth": True,
"task_id": self.task_id,
}
self.redis_client.setex(status_key, 600, json.dumps(status_data))
start_time = time.time()
while time.time() - start_time < max_wait_time:
code_data = self.redis_client.get(code_key)
if code_data:
code = code_data.decode()
returned_state = self.extracted_state
self.redis_client.delete(code_key)
self.redis_client.delete(
f"{self.redis_prefix}auth_url:{self.extracted_state}"
)
self.redis_client.delete(
f"{self.redis_prefix}state:{self.extracted_state}"
)
if self.task_id:
status_data = {
"status": "callback_received",
"message": "OAuth callback received, completing authentication...",
"task_id": self.task_id,
}
self.redis_client.setex(status_key, 600, json.dumps(status_data))
return code, returned_state
error_key = f"{self.redis_prefix}error:{self.extracted_state}"
error_data = self.redis_client.get(error_key)
if error_data:
error_msg = error_data.decode()
self.redis_client.delete(error_key)
self.redis_client.delete(
f"{self.redis_prefix}auth_url:{self.extracted_state}"
)
self.redis_client.delete(
f"{self.redis_prefix}state:{self.extracted_state}"
)
raise Exception(f"OAuth error: {error_msg}")
await asyncio.sleep(poll_interval)
self.redis_client.delete(f"{self.redis_prefix}auth_url:{self.extracted_state}")
self.redis_client.delete(f"{self.redis_prefix}state:{self.extracted_state}")
raise Exception("OAuth callback timeout: no code received within 5 minutes")
class DBTokenStorage(TokenStorage):
def __init__(self, server_url: str, user_id: str, db_client):
self.server_url = server_url
self.user_id = user_id
self.db_client = db_client
self.collection = db_client["connector_sessions"]
@staticmethod
def get_base_url(url: str) -> str:
parsed = urlparse(url)
return f"{parsed.scheme}://{parsed.netloc}"
def get_db_key(self) -> dict:
return {
"server_url": self.get_base_url(self.server_url),
"user_id": self.user_id,
}
async def get_tokens(self) -> OAuthToken | None:
doc = await asyncio.to_thread(self.collection.find_one, self.get_db_key())
if not doc or "tokens" not in doc:
return None
try:
tokens = OAuthToken.model_validate(doc["tokens"])
return tokens
except ValidationError as e:
logging.error(f"Could not load tokens: {e}")
return None
async def set_tokens(self, tokens: OAuthToken) -> None:
await asyncio.to_thread(
self.collection.update_one,
self.get_db_key(),
{"$set": {"tokens": tokens.model_dump()}},
True,
)
logging.info(f"Saved tokens for {self.get_base_url(self.server_url)}")
async def get_client_info(self) -> OAuthClientInformationFull | None:
doc = await asyncio.to_thread(self.collection.find_one, self.get_db_key())
if not doc or "client_info" not in doc:
return None
try:
client_info = OAuthClientInformationFull.model_validate(doc["client_info"])
tokens = await self.get_tokens()
if tokens is None:
logging.debug(
"No tokens found, clearing client info to force fresh registration."
)
await asyncio.to_thread(
self.collection.update_one,
self.get_db_key(),
{"$unset": {"client_info": ""}},
)
return None
return client_info
except ValidationError as e:
logging.error(f"Could not load client info: {e}")
return None
def _serialize_client_info(self, info: dict) -> dict:
if "redirect_uris" in info and isinstance(info["redirect_uris"], list):
info["redirect_uris"] = [str(u) for u in info["redirect_uris"]]
return info
async def set_client_info(self, client_info: OAuthClientInformationFull) -> None:
serialized_info = self._serialize_client_info(client_info.model_dump())
await asyncio.to_thread(
self.collection.update_one,
self.get_db_key(),
{"$set": {"client_info": serialized_info}},
True,
)
logging.info(f"Saved client info for {self.get_base_url(self.server_url)}")
async def clear(self) -> None:
await asyncio.to_thread(self.collection.delete_one, self.get_db_key())
logging.info(f"Cleared OAuth cache for {self.get_base_url(self.server_url)}")
@classmethod
async def clear_all(cls, db_client) -> None:
collection = db_client["connector_sessions"]
await asyncio.to_thread(collection.delete_many, {})
logging.info("Cleared all OAuth client cache data.")
class MCPOAuthManager:
"""Manager for handling MCP OAuth callbacks."""
def __init__(self, redis_client: Redis | None, redis_prefix: str = "mcp_oauth:"):
self.redis_client = redis_client
self.redis_prefix = redis_prefix
def handle_oauth_callback(
self, state: str, code: str, error: Optional[str] = None
) -> bool:
"""
Handle OAuth callback from provider.
Args:
state: The state parameter from OAuth callback
code: The authorization code from OAuth callback
error: Error message if OAuth failed
Returns:
True if successful, False otherwise
"""
try:
if not self.redis_client or not state:
raise Exception("Redis client or state not provided")
if error:
error_key = f"{self.redis_prefix}error:{state}"
self.redis_client.setex(error_key, 300, error)
raise Exception(f"OAuth error received: {error}")
code_key = f"{self.redis_prefix}code:{state}"
self.redis_client.setex(code_key, 300, code)
state_key = f"{self.redis_prefix}state:{state}"
self.redis_client.setex(state_key, 300, "completed")
return True
except Exception as e:
logging.error(f"Error handling OAuth callback: {e}")
return False
def get_oauth_status(self, task_id: str) -> Dict[str, Any]:
"""Get current status of OAuth flow using provided task_id."""
if not task_id:
return {"status": "not_started", "message": "OAuth flow not started"}
return mcp_oauth_status_task(task_id)

View File

@@ -1,546 +0,0 @@
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, List, Optional
import re
import uuid
from .base import Tool
from application.core.mongo_db import MongoDB
from application.core.settings import settings
class MemoryTool(Tool):
"""Memory
Stores and retrieves information across conversations through a memory file directory.
"""
def __init__(self, tool_config: Optional[Dict[str, Any]] = None, user_id: Optional[str] = None) -> None:
"""Initialize the tool.
Args:
tool_config: Optional tool configuration. Should include:
- tool_id: Unique identifier for this memory tool instance (from user_tools._id)
This ensures each user's tool configuration has isolated memories
user_id: The authenticated user's id (should come from decoded_token["sub"]).
"""
self.user_id: Optional[str] = user_id
# Get tool_id from configuration (passed from user_tools._id in production)
# In production, tool_id is the MongoDB ObjectId string from user_tools collection
if tool_config and "tool_id" in tool_config:
self.tool_id = tool_config["tool_id"]
elif user_id:
# Fallback for backward compatibility or testing
self.tool_id = f"default_{user_id}"
else:
# Last resort fallback (shouldn't happen in normal use)
self.tool_id = str(uuid.uuid4())
db = MongoDB.get_client()[settings.MONGO_DB_NAME]
self.collection = db["memories"]
# -----------------------------
# Action implementations
# -----------------------------
def execute_action(self, action_name: str, **kwargs: Any) -> str:
"""Execute an action by name.
Args:
action_name: One of view, create, str_replace, insert, delete, rename.
**kwargs: Parameters for the action.
Returns:
A human-readable string result.
"""
if not self.user_id:
return "Error: MemoryTool requires a valid user_id."
if action_name == "view":
return self._view(
kwargs.get("path", "/"),
kwargs.get("view_range")
)
if action_name == "create":
return self._create(
kwargs.get("path", ""),
kwargs.get("file_text", "")
)
if action_name == "str_replace":
return self._str_replace(
kwargs.get("path", ""),
kwargs.get("old_str", ""),
kwargs.get("new_str", "")
)
if action_name == "insert":
return self._insert(
kwargs.get("path", ""),
kwargs.get("insert_line", 1),
kwargs.get("insert_text", "")
)
if action_name == "delete":
return self._delete(kwargs.get("path", ""))
if action_name == "rename":
return self._rename(
kwargs.get("old_path", ""),
kwargs.get("new_path", "")
)
return f"Unknown action: {action_name}"
def get_actions_metadata(self) -> List[Dict[str, Any]]:
"""Return JSON metadata describing supported actions for tool schemas."""
return [
{
"name": "view",
"description": "Shows directory contents or file contents with optional line ranges.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to file or directory (e.g., /notes.txt or /project/ or /)."
},
"view_range": {
"type": "array",
"items": {"type": "integer"},
"description": "Optional [start_line, end_line] to view specific lines (1-indexed)."
}
},
"required": ["path"]
},
},
{
"name": "create",
"description": "Create or overwrite a file.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "File path to create (e.g., /notes.txt or /project/task.txt)."
},
"file_text": {
"type": "string",
"description": "Content to write to the file."
}
},
"required": ["path", "file_text"]
},
},
{
"name": "str_replace",
"description": "Replace text in a file.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "File path (e.g., /notes.txt)."
},
"old_str": {
"type": "string",
"description": "String to find."
},
"new_str": {
"type": "string",
"description": "String to replace with."
}
},
"required": ["path", "old_str", "new_str"]
},
},
{
"name": "insert",
"description": "Insert text at a specific line in a file.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "File path (e.g., /notes.txt)."
},
"insert_line": {
"type": "integer",
"description": "Line number to insert at (1-indexed)."
},
"insert_text": {
"type": "string",
"description": "Text to insert."
}
},
"required": ["path", "insert_line", "insert_text"]
},
},
{
"name": "delete",
"description": "Delete a file or directory.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to delete (e.g., /notes.txt or /project/)."
}
},
"required": ["path"]
},
},
{
"name": "rename",
"description": "Rename or move a file/directory.",
"parameters": {
"type": "object",
"properties": {
"old_path": {
"type": "string",
"description": "Current path (e.g., /old.txt)."
},
"new_path": {
"type": "string",
"description": "New path (e.g., /new.txt)."
}
},
"required": ["old_path", "new_path"]
},
},
]
def get_config_requirements(self) -> Dict[str, Any]:
"""Return configuration requirements."""
return {}
# -----------------------------
# Path validation
# -----------------------------
def _validate_path(self, path: str) -> Optional[str]:
"""Validate and normalize path.
Args:
path: User-provided path.
Returns:
Normalized path or None if invalid.
"""
if not path:
return None
# Remove any leading/trailing whitespace
path = path.strip()
# Preserve whether path ends with / (indicates directory)
is_directory = path.endswith("/")
# Ensure path starts with / for consistency
if not path.startswith("/"):
path = "/" + path
# Check for directory traversal patterns
if ".." in path or path.count("//") > 0:
return None
# Normalize the path
try:
# Convert to Path object and resolve to canonical form
normalized = str(Path(path).as_posix())
# Ensure it still starts with /
if not normalized.startswith("/"):
return None
# Preserve trailing slash for directories
if is_directory and not normalized.endswith("/") and normalized != "/":
normalized = normalized + "/"
return normalized
except Exception:
return None
# -----------------------------
# Internal helpers
# -----------------------------
def _view(self, path: str, view_range: Optional[List[int]] = None) -> str:
"""View directory contents or file contents."""
validated_path = self._validate_path(path)
if not validated_path:
return "Error: Invalid path."
# Check if viewing directory (ends with / or is root)
if validated_path == "/" or validated_path.endswith("/"):
return self._view_directory(validated_path)
# Otherwise view file
return self._view_file(validated_path, view_range)
def _view_directory(self, path: str) -> str:
"""List files in a directory."""
# Ensure path ends with / for proper prefix matching
search_path = path if path.endswith("/") else path + "/"
# Find all files that start with this directory path
query = {
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": {"$regex": f"^{re.escape(search_path)}"}
}
docs = list(self.collection.find(query, {"path": 1}))
if not docs:
return f"Directory: {path}\n(empty)"
# Extract filenames relative to the directory
files = []
for doc in docs:
file_path = doc["path"]
# Remove the directory prefix
if file_path.startswith(search_path):
relative = file_path[len(search_path):]
if relative:
files.append(relative)
files.sort()
file_list = "\n".join(f"- {f}" for f in files)
return f"Directory: {path}\n{file_list}"
def _view_file(self, path: str, view_range: Optional[List[int]] = None) -> str:
"""View file contents with optional line range."""
doc = self.collection.find_one({"user_id": self.user_id, "tool_id": self.tool_id, "path": path})
if not doc or not doc.get("content"):
return f"Error: File not found: {path}"
content = str(doc["content"])
# Apply view_range if specified
if view_range and len(view_range) == 2:
lines = content.split("\n")
start, end = view_range
# Convert to 0-indexed
start_idx = max(0, start - 1)
end_idx = min(len(lines), end)
if start_idx >= len(lines):
return f"Error: Line range out of bounds. File has {len(lines)} lines."
selected_lines = lines[start_idx:end_idx]
# Add line numbers (enumerate with 1-based start)
numbered_lines = [f"{i}: {line}" for i, line in enumerate(selected_lines, start=start)]
return "\n".join(numbered_lines)
return content
def _create(self, path: str, file_text: str) -> str:
"""Create or overwrite a file."""
validated_path = self._validate_path(path)
if not validated_path:
return "Error: Invalid path."
if validated_path == "/" or validated_path.endswith("/"):
return "Error: Cannot create a file at directory path."
self.collection.update_one(
{"user_id": self.user_id, "tool_id": self.tool_id, "path": validated_path},
{
"$set": {
"content": file_text,
"updated_at": datetime.now()
}
},
upsert=True
)
return f"File created: {validated_path}"
def _str_replace(self, path: str, old_str: str, new_str: str) -> str:
"""Replace text in a file."""
validated_path = self._validate_path(path)
if not validated_path:
return "Error: Invalid path."
if not old_str:
return "Error: old_str is required."
doc = self.collection.find_one({"user_id": self.user_id, "tool_id": self.tool_id, "path": validated_path})
if not doc or not doc.get("content"):
return f"Error: File not found: {validated_path}"
current_content = str(doc["content"])
# Check if old_str exists (case-insensitive)
if old_str.lower() not in current_content.lower():
return f"Error: String '{old_str}' not found in file."
# Replace the string (case-insensitive)
import re as regex_module
updated_content = regex_module.sub(regex_module.escape(old_str), new_str, current_content, flags=regex_module.IGNORECASE)
self.collection.update_one(
{"user_id": self.user_id, "tool_id": self.tool_id, "path": validated_path},
{
"$set": {
"content": updated_content,
"updated_at": datetime.now()
}
}
)
return f"File updated: {validated_path}"
def _insert(self, path: str, insert_line: int, insert_text: str) -> str:
"""Insert text at a specific line."""
validated_path = self._validate_path(path)
if not validated_path:
return "Error: Invalid path."
if not insert_text:
return "Error: insert_text is required."
doc = self.collection.find_one({"user_id": self.user_id, "tool_id": self.tool_id, "path": validated_path})
if not doc or not doc.get("content"):
return f"Error: File not found: {validated_path}"
current_content = str(doc["content"])
lines = current_content.split("\n")
# Convert to 0-indexed
index = insert_line - 1
if index < 0 or index > len(lines):
return f"Error: Invalid line number. File has {len(lines)} lines."
lines.insert(index, insert_text)
updated_content = "\n".join(lines)
self.collection.update_one(
{"user_id": self.user_id, "tool_id": self.tool_id, "path": validated_path},
{
"$set": {
"content": updated_content,
"updated_at": datetime.now()
}
}
)
return f"Text inserted at line {insert_line} in {validated_path}"
def _delete(self, path: str) -> str:
"""Delete a file or directory."""
validated_path = self._validate_path(path)
if not validated_path:
return "Error: Invalid path."
if validated_path == "/":
# Delete all files for this user and tool
result = self.collection.delete_many({"user_id": self.user_id, "tool_id": self.tool_id})
return f"Deleted {result.deleted_count} file(s) from memory."
# Check if it's a directory (ends with /)
if validated_path.endswith("/"):
# Delete all files in directory
result = self.collection.delete_many({
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": {"$regex": f"^{re.escape(validated_path)}"}
})
return f"Deleted directory and {result.deleted_count} file(s)."
# Try to delete as directory first (without trailing slash)
# Check if any files start with this path + /
search_path = validated_path + "/"
directory_result = self.collection.delete_many({
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": {"$regex": f"^{re.escape(search_path)}"}
})
if directory_result.deleted_count > 0:
return f"Deleted directory and {directory_result.deleted_count} file(s)."
# Delete single file
result = self.collection.delete_one({
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": validated_path
})
if result.deleted_count:
return f"Deleted: {validated_path}"
return f"Error: File not found: {validated_path}"
def _rename(self, old_path: str, new_path: str) -> str:
"""Rename or move a file/directory."""
validated_old = self._validate_path(old_path)
validated_new = self._validate_path(new_path)
if not validated_old or not validated_new:
return "Error: Invalid path."
if validated_old == "/" or validated_new == "/":
return "Error: Cannot rename root directory."
# Check if renaming a directory
if validated_old.endswith("/"):
# Ensure validated_new also ends with / for proper path replacement
if not validated_new.endswith("/"):
validated_new = validated_new + "/"
# Find all files in the old directory
docs = list(self.collection.find({
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": {"$regex": f"^{re.escape(validated_old)}"}
}))
if not docs:
return f"Error: Directory not found: {validated_old}"
# Update paths for all files
for doc in docs:
old_file_path = doc["path"]
new_file_path = old_file_path.replace(validated_old, validated_new, 1)
self.collection.update_one(
{"_id": doc["_id"]},
{"$set": {"path": new_file_path, "updated_at": datetime.now()}}
)
return f"Renamed directory: {validated_old} -> {validated_new} ({len(docs)} files)"
# Rename single file
doc = self.collection.find_one({
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": validated_old
})
if not doc:
return f"Error: File not found: {validated_old}"
# Check if new path already exists
existing = self.collection.find_one({
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": validated_new
})
if existing:
return f"Error: File already exists at {validated_new}"
# Delete the old document and create a new one with the new path
self.collection.delete_one({"user_id": self.user_id, "tool_id": self.tool_id, "path": validated_old})
self.collection.insert_one({
"user_id": self.user_id,
"tool_id": self.tool_id,
"path": validated_new,
"content": doc.get("content", ""),
"updated_at": datetime.now()
})
return f"Renamed: {validated_old} -> {validated_new}"

View File

@@ -1,199 +0,0 @@
from datetime import datetime
from typing import Any, Dict, List, Optional
import uuid
from .base import Tool
from application.core.mongo_db import MongoDB
from application.core.settings import settings
class NotesTool(Tool):
"""Notepad
Single note. Supports viewing, overwriting, string replacement.
"""
def __init__(self, tool_config: Optional[Dict[str, Any]] = None, user_id: Optional[str] = None) -> None:
"""Initialize the tool.
Args:
tool_config: Optional tool configuration. Should include:
- tool_id: Unique identifier for this notes tool instance (from user_tools._id)
This ensures each user's tool configuration has isolated notes
user_id: The authenticated user's id (should come from decoded_token["sub"]).
"""
self.user_id: Optional[str] = user_id
# Get tool_id from configuration (passed from user_tools._id in production)
# In production, tool_id is the MongoDB ObjectId string from user_tools collection
if tool_config and "tool_id" in tool_config:
self.tool_id = tool_config["tool_id"]
elif user_id:
# Fallback for backward compatibility or testing
self.tool_id = f"default_{user_id}"
else:
# Last resort fallback (shouldn't happen in normal use)
self.tool_id = str(uuid.uuid4())
db = MongoDB.get_client()[settings.MONGO_DB_NAME]
self.collection = db["notes"]
# -----------------------------
# Action implementations
# -----------------------------
def execute_action(self, action_name: str, **kwargs: Any) -> str:
"""Execute an action by name.
Args:
action_name: One of view, overwrite, str_replace, insert, delete.
**kwargs: Parameters for the action.
Returns:
A human-readable string result.
"""
if not self.user_id:
return "Error: NotesTool requires a valid user_id."
if action_name == "view":
return self._get_note()
if action_name == "overwrite":
return self._overwrite_note(kwargs.get("text", ""))
if action_name == "str_replace":
return self._str_replace(kwargs.get("old_str", ""), kwargs.get("new_str", ""))
if action_name == "insert":
return self._insert(kwargs.get("line_number", 1), kwargs.get("text", ""))
if action_name == "delete":
return self._delete_note()
return f"Unknown action: {action_name}"
def get_actions_metadata(self) -> List[Dict[str, Any]]:
"""Return JSON metadata describing supported actions for tool schemas."""
return [
{
"name": "view",
"description": "Retrieve the user's note.",
"parameters": {"type": "object", "properties": {}},
},
{
"name": "overwrite",
"description": "Replace the entire note content (creates if doesn't exist).",
"parameters": {
"type": "object",
"properties": {
"text": {"type": "string", "description": "New note content."}
},
"required": ["text"],
},
},
{
"name": "str_replace",
"description": "Replace occurrences of old_str with new_str in the note.",
"parameters": {
"type": "object",
"properties": {
"old_str": {"type": "string", "description": "String to find."},
"new_str": {"type": "string", "description": "String to replace with."}
},
"required": ["old_str", "new_str"],
},
},
{
"name": "insert",
"description": "Insert text at the specified line number (1-indexed).",
"parameters": {
"type": "object",
"properties": {
"line_number": {"type": "integer", "description": "Line number to insert at (1-indexed)."},
"text": {"type": "string", "description": "Text to insert."}
},
"required": ["line_number", "text"],
},
},
{
"name": "delete",
"description": "Delete the user's note.",
"parameters": {"type": "object", "properties": {}},
},
]
def get_config_requirements(self) -> Dict[str, Any]:
"""Return configuration requirements (none for now)."""
return {}
# -----------------------------
# Internal helpers (single-note)
# -----------------------------
def _get_note(self) -> str:
doc = self.collection.find_one({"user_id": self.user_id, "tool_id": self.tool_id})
if not doc or not doc.get("note"):
return "No note found."
return str(doc["note"])
def _overwrite_note(self, content: str) -> str:
content = (content or "").strip()
if not content:
return "Note content required."
self.collection.update_one(
{"user_id": self.user_id, "tool_id": self.tool_id},
{"$set": {"note": content, "updated_at": datetime.utcnow()}},
upsert=True, # ✅ create if missing
)
return "Note saved."
def _str_replace(self, old_str: str, new_str: str) -> str:
if not old_str:
return "old_str is required."
doc = self.collection.find_one({"user_id": self.user_id, "tool_id": self.tool_id})
if not doc or not doc.get("note"):
return "No note found."
current_note = str(doc["note"])
# Case-insensitive search
if old_str.lower() not in current_note.lower():
return f"String '{old_str}' not found in note."
# Case-insensitive replacement
import re
updated_note = re.sub(re.escape(old_str), new_str, current_note, flags=re.IGNORECASE)
self.collection.update_one(
{"user_id": self.user_id, "tool_id": self.tool_id},
{"$set": {"note": updated_note, "updated_at": datetime.utcnow()}},
)
return "Note updated."
def _insert(self, line_number: int, text: str) -> str:
if not text:
return "Text is required."
doc = self.collection.find_one({"user_id": self.user_id, "tool_id": self.tool_id})
if not doc or not doc.get("note"):
return "No note found."
current_note = str(doc["note"])
lines = current_note.split("\n")
# Convert to 0-indexed and validate
index = line_number - 1
if index < 0 or index > len(lines):
return f"Invalid line number. Note has {len(lines)} lines."
lines.insert(index, text)
updated_note = "\n".join(lines)
self.collection.update_one(
{"user_id": self.user_id, "tool_id": self.tool_id},
{"$set": {"note": updated_note, "updated_at": datetime.utcnow()}},
)
return "Text inserted."
def _delete_note(self) -> str:
res = self.collection.delete_one({"user_id": self.user_id, "tool_id": self.tool_id})
return "Note deleted." if res.deleted_count else "No note found to delete."

View File

@@ -23,23 +23,16 @@ class ToolManager:
tool_config = self.config.get(name, {})
self.tools[name] = obj(tool_config)
def load_tool(self, tool_name, tool_config, user_id=None):
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:
if tool_name in {"mcp_tool", "notes", "memory"} and user_id:
return obj(tool_config, user_id)
else:
return obj(tool_config)
return obj(tool_config)
def execute_action(self, tool_name, action_name, user_id=None, **kwargs):
def execute_action(self, tool_name, action_name, **kwargs):
if tool_name not in self.tools:
raise ValueError(f"Tool '{tool_name}' not loaded")
if tool_name in {"mcp_tool", "memory"} and user_id:
tool_config = self.config.get(tool_name, {})
tool = self.load_tool(tool_name, tool_config, user_id)
return tool.execute_action(action_name, **kwargs)
return self.tools[tool_name].execute_action(action_name, **kwargs)
def get_all_actions_metadata(self):

View File

@@ -110,8 +110,6 @@ class BaseAnswerResource:
yield f"data: {data}\n\n"
elif "tool_calls" in line:
tool_calls = line["tool_calls"]
data = json.dumps({"type": "tool_calls", "tool_calls": tool_calls})
yield f"data: {data}\n\n"
elif "thought" in line:
thought += line["thought"]
data = json.dumps({"type": "thought", "thought": line["thought"]})

View File

@@ -69,8 +69,11 @@ class StreamProcessor:
self.decoded_token.get("sub") if self.decoded_token is not None else None
)
self.conversation_id = self.data.get("conversation_id")
self.source = {}
self.all_sources = []
self.source = (
{"active_docs": self.data["active_docs"]}
if "active_docs" in self.data
else {}
)
self.attachments = []
self.history = []
self.agent_config = {}
@@ -82,8 +85,6 @@ class StreamProcessor:
def initialize(self):
"""Initialize all required components for processing"""
self._configure_agent()
self._configure_source()
self._configure_retriever()
self._configure_agent()
self._load_conversation_history()
@@ -170,77 +171,13 @@ class StreamProcessor:
source = data.get("source")
if isinstance(source, DBRef):
source_doc = self.db.dereference(source)
if source_doc:
data["source"] = str(source_doc["_id"])
data["retriever"] = source_doc.get("retriever", data.get("retriever"))
data["chunks"] = source_doc.get("chunks", data.get("chunks"))
else:
data["source"] = None
elif source == "default":
data["source"] = "default"
data["source"] = str(source_doc["_id"])
data["retriever"] = source_doc.get("retriever", data.get("retriever"))
data["chunks"] = source_doc.get("chunks", data.get("chunks"))
else:
data["source"] = None
# Handle multiple sources
sources = data.get("sources", [])
if sources and isinstance(sources, list):
sources_list = []
for i, source_ref in enumerate(sources):
if source_ref == "default":
processed_source = {
"id": "default",
"retriever": "classic",
"chunks": data.get("chunks", "2"),
}
sources_list.append(processed_source)
elif isinstance(source_ref, DBRef):
source_doc = self.db.dereference(source_ref)
if source_doc:
processed_source = {
"id": str(source_doc["_id"]),
"retriever": source_doc.get("retriever", "classic"),
"chunks": source_doc.get("chunks", data.get("chunks", "2")),
}
sources_list.append(processed_source)
data["sources"] = sources_list
else:
data["sources"] = []
return data
def _configure_source(self):
"""Configure the source based on agent data"""
api_key = self.data.get("api_key") or self.agent_key
if api_key:
agent_data = self._get_data_from_api_key(api_key)
if agent_data.get("sources") and len(agent_data["sources"]) > 0:
source_ids = [
source["id"] for source in agent_data["sources"] if source.get("id")
]
if source_ids:
self.source = {"active_docs": source_ids}
else:
self.source = {}
self.all_sources = agent_data["sources"]
elif agent_data.get("source"):
self.source = {"active_docs": agent_data["source"]}
self.all_sources = [
{
"id": agent_data["source"],
"retriever": agent_data.get("retriever", "classic"),
}
]
else:
self.source = {}
self.all_sources = []
return
if "active_docs" in self.data:
self.source = {"active_docs": self.data["active_docs"]}
return
self.source = {}
self.all_sources = []
def _configure_agent(self):
"""Configure the agent based on request data"""
agent_id = self.data.get("agent_id")
@@ -266,13 +203,7 @@ class StreamProcessor:
if data_key.get("retriever"):
self.retriever_config["retriever_name"] = data_key["retriever"]
if data_key.get("chunks") is not None:
try:
self.retriever_config["chunks"] = int(data_key["chunks"])
except (ValueError, TypeError):
logger.warning(
f"Invalid chunks value: {data_key['chunks']}, using default value 2"
)
self.retriever_config["chunks"] = 2
self.retriever_config["chunks"] = data_key["chunks"]
elif self.agent_key:
data_key = self._get_data_from_api_key(self.agent_key)
self.agent_config.update(
@@ -293,13 +224,7 @@ class StreamProcessor:
if data_key.get("retriever"):
self.retriever_config["retriever_name"] = data_key["retriever"]
if data_key.get("chunks") is not None:
try:
self.retriever_config["chunks"] = int(data_key["chunks"])
except (ValueError, TypeError):
logger.warning(
f"Invalid chunks value: {data_key['chunks']}, using default value 2"
)
self.retriever_config["chunks"] = 2
self.retriever_config["chunks"] = data_key["chunks"]
else:
self.agent_config.update(
{
@@ -318,8 +243,7 @@ class StreamProcessor:
"token_limit": self.data.get("token_limit", settings.DEFAULT_MAX_HISTORY),
}
api_key = self.data.get("api_key") or self.agent_key
if not api_key and "isNoneDoc" in self.data and self.data["isNoneDoc"]:
if "isNoneDoc" in self.data and self.data["isNoneDoc"]:
self.retriever_config["chunks"] = 0
def create_agent(self):

View File

@@ -1,7 +1,6 @@
import base64
import datetime
import json
import uuid
import logging
from bson.objectid import ObjectId
@@ -15,6 +14,8 @@ from flask import (
from flask_restx import fields, Namespace, Resource
from application.api.user.tasks import (
ingest_connector_task,
)
@@ -172,7 +173,7 @@ class ConnectorSources(Resource):
return make_response(jsonify({"success": False}), 401)
user = decoded_token.get("sub")
try:
sources = sources_collection.find({"user": user, "type": "connector:file"}).sort("date", -1)
sources = sources_collection.find({"user": user, "type": "connector"}).sort("date", -1)
connector_sources = []
for source in sources:
connector_sources.append({
@@ -234,24 +235,8 @@ class ConnectorAuth(Resource):
if not ConnectorCreator.is_supported(provider):
return make_response(jsonify({"success": False, "error": f"Unsupported provider: {provider}"}), 400)
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False, "error": "Unauthorized"}), 401)
user_id = decoded_token.get('sub')
now = datetime.datetime.now(datetime.timezone.utc)
result = sessions_collection.insert_one({
"provider": provider,
"user": user_id,
"status": "pending",
"created_at": now
})
state_dict = {
"provider": provider,
"object_id": str(result.inserted_id)
}
state = base64.urlsafe_b64encode(json.dumps(state_dict).encode()).decode()
import uuid
state = str(uuid.uuid4())
auth = ConnectorCreator.create_auth(provider)
authorization_url = auth.get_authorization_url(state=state)
return make_response(jsonify({
@@ -272,30 +257,25 @@ class ConnectorsCallback(Resource):
try:
from application.parser.connectors.connector_creator import ConnectorCreator
from flask import request, redirect
import uuid
provider = request.args.get('provider', 'google_drive')
authorization_code = request.args.get('code')
state = request.args.get('state')
_ = request.args.get('state')
error = request.args.get('error')
state_dict = json.loads(base64.urlsafe_b64decode(state.encode()).decode())
provider = state_dict["provider"]
state_object_id = state_dict["object_id"]
if error:
if error == "access_denied":
return redirect(f"/api/connectors/callback-status?status=cancelled&message=Authentication+was+cancelled.+You+can+try+again+if+you'd+like+to+connect+your+account.&provider={provider}")
else:
current_app.logger.warning(f"OAuth error in callback: {error}")
return redirect(f"/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.&provider={provider}")
return redirect(f"/api/connectors/callback-status?status=error&message=OAuth+error:+{error}.+Please+try+again+and+make+sure+to+grant+all+requested+permissions,+including+offline+access.&provider={provider}")
if not authorization_code:
return redirect(f"/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.&provider={provider}")
return redirect(f"/api/connectors/callback-status?status=error&message=Authorization+code+not+provided.+Please+complete+the+authorization+process+and+make+sure+to+grant+offline+access.&provider={provider}")
try:
auth = ConnectorCreator.create_auth(provider)
token_info = auth.exchange_code_for_tokens(authorization_code)
session_token = str(uuid.uuid4())
try:
credentials = auth.create_credentials_from_token_info(token_info)
@@ -310,31 +290,30 @@ class ConnectorsCallback(Resource):
"access_token": token_info.get("access_token"),
"refresh_token": token_info.get("refresh_token"),
"token_uri": token_info.get("token_uri"),
"expiry": token_info.get("expiry")
"expiry": token_info.get("expiry"),
"scopes": token_info.get("scopes")
}
sessions_collection.find_one_and_update(
{"_id": ObjectId(state_object_id), "provider": provider},
{
"$set": {
"session_token": session_token,
"token_info": sanitized_token_info,
"user_email": user_email,
"status": "authorized"
}
}
)
user_id = request.decoded_token.get("sub") if getattr(request, "decoded_token", None) else None
sessions_collection.insert_one({
"session_token": session_token,
"user": user_id,
"token_info": sanitized_token_info,
"created_at": datetime.datetime.now(datetime.timezone.utc),
"user_email": user_email,
"provider": provider
})
# Redirect to success page with session token and user email
return redirect(f"/api/connectors/callback-status?status=success&message=Authentication+successful&provider={provider}&session_token={session_token}&user_email={user_email}")
except Exception as e:
current_app.logger.error(f"Error exchanging code for tokens: {str(e)}", exc_info=True)
return redirect(f"/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.&provider={provider}")
return redirect(f"/api/connectors/callback-status?status=error&message=Failed+to+exchange+authorization+code+for+tokens:+{str(e)}&provider={provider}")
except Exception as e:
current_app.logger.error(f"Error handling connector callback: {e}")
return redirect("/api/connectors/callback-status?status=error&message=Authentication+failed.+Please+try+again+and+make+sure+to+grant+all+requested+permissions.")
return redirect(f"/api/connectors/callback-status?status=error&message=Failed+to+complete+connector+authentication:+{str(e)}.+Please+try+again+and+make+sure+to+grant+all+requested+permissions,+including+offline+access.")
@connectors_ns.route("/api/connectors/refresh")
@@ -360,15 +339,8 @@ class ConnectorRefresh(Resource):
@connectors_ns.route("/api/connectors/files")
class ConnectorFiles(Resource):
@api.expect(api.model("ConnectorFilesModel", {
"provider": fields.String(required=True),
"session_token": fields.String(required=True),
"folder_id": fields.String(required=False),
"limit": fields.Integer(required=False),
"page_token": fields.String(required=False),
"search_query": fields.String(required=False)
}))
@api.doc(description="List files from a connector provider (supports pagination and search)")
@api.expect(api.model("ConnectorFilesModel", {"provider": fields.String(required=True), "session_token": fields.String(required=True), "folder_id": fields.String(required=False), "limit": fields.Integer(required=False), "page_token": fields.String(required=False)}))
@api.doc(description="List files from a connector provider (supports pagination)")
def post(self):
try:
data = request.get_json()
@@ -377,11 +349,10 @@ class ConnectorFiles(Resource):
folder_id = data.get('folder_id')
limit = data.get('limit', 10)
page_token = data.get('page_token')
search_query = data.get('search_query')
if not provider or not session_token:
return make_response(jsonify({"success": False, "error": "provider and session_token are required"}), 400)
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False, "error": "Unauthorized"}), 401)
@@ -391,17 +362,13 @@ class ConnectorFiles(Resource):
return make_response(jsonify({"success": False, "error": "Invalid or unauthorized session"}), 401)
loader = ConnectorCreator.create_connector(provider, session_token)
input_config = {
documents = loader.load_data({
'limit': limit,
'list_only': True,
'session_token': session_token,
'folder_id': folder_id,
'page_token': page_token
}
if search_query:
input_config['search_query'] = search_query
documents = loader.load_data(input_config)
})
files = []
for doc in documents[:limit]:
@@ -419,20 +386,13 @@ class ConnectorFiles(Resource):
'name': metadata.get('file_name', 'Unknown File'),
'type': metadata.get('mime_type', 'unknown'),
'size': metadata.get('size', None),
'modifiedTime': formatted_time,
'isFolder': metadata.get('is_folder', False)
'modifiedTime': formatted_time
})
next_token = getattr(loader, 'next_page_token', None)
has_more = bool(next_token)
return make_response(jsonify({
"success": True,
"files": files,
"total": len(files),
"next_page_token": next_token,
"has_more": has_more
}), 200)
return make_response(jsonify({"success": True, "files": files, "total": len(files), "next_page_token": next_token, "has_more": has_more}), 200)
except Exception as e:
current_app.logger.error(f"Error loading connector files: {e}")
return make_response(jsonify({"success": False, "error": f"Failed to load files: {str(e)}"}), 500)
@@ -441,7 +401,7 @@ class ConnectorFiles(Resource):
@connectors_ns.route("/api/connectors/validate-session")
class ConnectorValidateSession(Resource):
@api.expect(api.model("ConnectorValidateSessionModel", {"provider": fields.String(required=True), "session_token": fields.String(required=True)}))
@api.doc(description="Validate connector session token and return user info and access token")
@api.doc(description="Validate connector session token and return user info")
def post(self):
try:
data = request.get_json()
@@ -450,6 +410,7 @@ class ConnectorValidateSession(Resource):
if not provider or not session_token:
return make_response(jsonify({"success": False, "error": "provider and session_token are required"}), 400)
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False, "error": "Unauthorized"}), 401)
@@ -463,36 +424,10 @@ class ConnectorValidateSession(Resource):
auth = ConnectorCreator.create_auth(provider)
is_expired = auth.is_token_expired(token_info)
if is_expired and token_info.get('refresh_token'):
try:
refreshed_token_info = auth.refresh_access_token(token_info.get('refresh_token'))
sanitized_token_info = {
"access_token": refreshed_token_info.get("access_token"),
"refresh_token": refreshed_token_info.get("refresh_token"),
"token_uri": refreshed_token_info.get("token_uri"),
"expiry": refreshed_token_info.get("expiry")
}
sessions_collection.update_one(
{"session_token": session_token},
{"$set": {"token_info": sanitized_token_info}}
)
token_info = sanitized_token_info
is_expired = False
except Exception as refresh_error:
current_app.logger.error(f"Failed to refresh token: {refresh_error}")
if is_expired:
return make_response(jsonify({
"success": False,
"expired": True,
"error": "Session token has expired. Please reconnect."
}), 401)
return make_response(jsonify({
"success": True,
"expired": False,
"user_email": session.get('user_email', 'Connected User'),
"access_token": token_info.get('access_token')
"expired": is_expired,
"user_email": session.get('user_email', 'Connected User')
}), 200)
except Exception as e:
current_app.logger.error(f"Error validating connector session: {e}")
@@ -652,23 +587,20 @@ class ConnectorCallbackStatus(Resource):
.container {{ max-width: 600px; margin: 0 auto; }}
.success {{ color: #4CAF50; }}
.error {{ color: #F44336; }}
.cancelled {{ color: #FF9800; }}
</style>
<script>
window.onload = function() {{
const status = "{status}";
const sessionToken = "{session_token}";
const userEmail = "{user_email}";
if (status === "success" && window.opener) {{
window.opener.postMessage({{
type: '{provider}_auth_success',
session_token: sessionToken,
user_email: userEmail
}}, '*');
setTimeout(() => window.close(), 3000);
}} else if (status === "cancelled" || status === "error") {{
setTimeout(() => window.close(), 3000);
}}
}};
@@ -681,7 +613,7 @@ class ConnectorCallbackStatus(Resource):
<p>{message}</p>
{f'<p>Connected as: {user_email}</p>' if status == 'success' else ''}
</div>
<p><small>You can close this window. {f"Your {provider.replace('_', ' ').title()} is now connected and ready to use." if status == 'success' else "Feel free to close this window."}</small></p>
<p><small>You can close this window. {f"Your {provider.replace('_', ' ').title()} is now connected and ready to use." if status == 'success' else ''}</small></p>
</div>
</body>
</html>

View File

@@ -1,5 +0,0 @@
"""User API module - provides all user-related API endpoints"""
from .routes import user
__all__ = ["user"]

View File

@@ -1,7 +0,0 @@
"""Agents module."""
from .routes import agents_ns
from .sharing import agents_sharing_ns
from .webhooks import agents_webhooks_ns
__all__ = ["agents_ns", "agents_sharing_ns", "agents_webhooks_ns"]

View File

@@ -1,910 +0,0 @@
"""Agent management routes."""
import datetime
import json
import uuid
from bson.dbref import DBRef
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import (
agents_collection,
db,
ensure_user_doc,
handle_image_upload,
resolve_tool_details,
storage,
users_collection,
)
from application.utils import (
check_required_fields,
generate_image_url,
validate_required_fields,
)
agents_ns = Namespace("agents", description="Agent management operations", path="/api")
@agents_ns.route("/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 ""
),
"sources": [
(
str(db.dereference(source_ref)["_id"])
if isinstance(source_ref, DBRef) and db.dereference(source_ref)
else source_ref
)
for source_ref in agent.get("sources", [])
if (isinstance(source_ref, DBRef) and db.dereference(source_ref))
or source_ref == "default"
],
"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", ""),
"json_schema": agent.get("json_schema"),
"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
@agents_ns.route("/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 (
agent.get("source", "")
if agent.get("source") == "default"
else ""
)
),
"sources": [
(
source_ref
if source_ref == "default"
else str(db.dereference(source_ref)["_id"])
)
for source_ref in agent.get("sources", [])
if source_ref == "default"
or (
isinstance(source_ref, DBRef) and db.dereference(source_ref)
)
],
"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", ""),
"json_schema": agent.get("json_schema"),
"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)
@agents_ns.route("/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=False, description="Source ID (legacy single source)"
),
"sources": fields.List(
fields.String,
required=False,
description="List of source identifiers for multiple sources",
),
"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)"
),
"json_schema": fields.Raw(
required=False,
description="JSON schema for enforcing structured output format",
),
},
)
@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:
data = request.form.to_dict()
if "tools" in data:
try:
data["tools"] = json.loads(data["tools"])
except json.JSONDecodeError:
data["tools"] = []
if "sources" in data:
try:
data["sources"] = json.loads(data["sources"])
except json.JSONDecodeError:
data["sources"] = []
if "json_schema" in data:
try:
data["json_schema"] = json.loads(data["json_schema"])
except json.JSONDecodeError:
data["json_schema"] = None
print(f"Received data: {data}")
# Validate JSON schema if provided
if data.get("json_schema"):
try:
# Basic validation - ensure it's a valid JSON structure
json_schema = data.get("json_schema")
if not isinstance(json_schema, dict):
return make_response(
jsonify(
{
"success": False,
"message": "JSON schema must be a valid JSON object",
}
),
400,
)
# Validate that it has either a 'schema' property or is itself a schema
if "schema" not in json_schema and "type" not in json_schema:
return make_response(
jsonify(
{
"success": False,
"message": "JSON schema must contain either a 'schema' property or be a valid JSON schema with 'type' property",
}
),
400,
)
except Exception as e:
return make_response(
jsonify(
{"success": False, "message": f"Invalid JSON schema: {str(e)}"}
),
400,
)
if data.get("status") not in ["draft", "published"]:
return make_response(
jsonify(
{
"success": False,
"message": "Status must be either 'draft' or 'published'",
}
),
400,
)
if data.get("status") == "published":
required_fields = [
"name",
"description",
"chunks",
"retriever",
"prompt_id",
"agent_type",
]
# Require either source or sources (but not both)
if not data.get("source") and not data.get("sources"):
return make_response(
jsonify(
{
"success": False,
"message": "Either 'source' or 'sources' field is required for published agents",
}
),
400,
)
validate_fields = ["name", "description", "prompt_id", "agent_type"]
else:
required_fields = ["name"]
validate_fields = []
missing_fields = check_required_fields(data, required_fields)
invalid_fields = validate_required_fields(data, validate_fields)
if missing_fields:
return missing_fields
if invalid_fields:
return invalid_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()) if data.get("status") == "published" else ""
sources_list = []
if data.get("sources") and len(data.get("sources", [])) > 0:
for source_id in data.get("sources", []):
if source_id == "default":
sources_list.append("default")
elif ObjectId.is_valid(source_id):
sources_list.append(DBRef("sources", ObjectId(source_id)))
source_field = ""
else:
source_value = data.get("source", "")
if source_value == "default":
source_field = "default"
elif ObjectId.is_valid(source_value):
source_field = DBRef("sources", ObjectId(source_value))
else:
source_field = ""
new_agent = {
"user": user,
"name": data.get("name"),
"description": data.get("description", ""),
"image": image_url,
"source": source_field,
"sources": sources_list,
"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"),
"json_schema": data.get("json_schema"),
"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"] = "2"
if (
new_agent["source"] == ""
and new_agent["retriever"] == ""
and not new_agent["sources"]
):
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)
@agents_ns.route("/update_agent/<string:agent_id>")
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=False, description="Source ID (legacy single source)"
),
"sources": fields.List(
fields.String,
required=False,
description="List of source identifiers for multiple sources",
),
"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)"
),
"json_schema": fields.Raw(
required=False,
description="JSON schema for enforcing structured output format",
),
},
)
@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 make_response(
jsonify({"success": False, "message": "Unauthorized"}), 401
)
user = decoded_token.get("sub")
if not ObjectId.is_valid(agent_id):
return make_response(
jsonify({"success": False, "message": "Invalid agent ID format"}), 400
)
oid = ObjectId(agent_id)
try:
if request.content_type and "application/json" in request.content_type:
data = request.get_json()
else:
data = request.form.to_dict()
json_fields = ["tools", "sources", "json_schema"]
for field in json_fields:
if field in data and data[field]:
try:
data[field] = json.loads(data[field])
except json.JSONDecodeError:
return make_response(
jsonify(
{
"success": False,
"message": f"Invalid JSON format for field: {field}",
}
),
400,
)
except Exception as err:
current_app.logger.error(
f"Error parsing request data: {err}", exc_info=True
)
return make_response(
jsonify({"success": False, "message": "Invalid request data"}), 400
)
try:
existing_agent = agents_collection.find_one({"_id": oid, "user": user})
except Exception as err:
current_app.logger.error(
f"Error finding agent {agent_id}: {err}", exc_info=True
)
return make_response(
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:
current_app.logger.error(
f"Image upload error for agent {agent_id}: {error}"
)
return make_response(
jsonify({"success": False, "message": f"Image upload failed: {error}"}),
400,
)
update_fields = {}
allowed_fields = [
"name",
"description",
"image",
"source",
"sources",
"chunks",
"retriever",
"prompt_id",
"tools",
"agent_type",
"status",
"json_schema",
]
for field in allowed_fields:
if field not in data:
continue
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. Must be 'draft' or 'published'",
}
),
400,
)
update_fields[field] = new_status
elif field == "source":
source_id = data.get("source")
if source_id == "default":
update_fields[field] = "default"
elif 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": f"Invalid source ID format: {source_id}",
}
),
400,
)
else:
update_fields[field] = ""
elif field == "sources":
sources_list = data.get("sources", [])
if sources_list and isinstance(sources_list, list):
valid_sources = []
for source_id in sources_list:
if source_id == "default":
valid_sources.append("default")
elif ObjectId.is_valid(source_id):
valid_sources.append(DBRef("sources", ObjectId(source_id)))
else:
return make_response(
jsonify(
{
"success": False,
"message": f"Invalid source ID in list: {source_id}",
}
),
400,
)
update_fields[field] = valid_sources
else:
update_fields[field] = []
elif field == "chunks":
chunks_value = data.get("chunks")
if chunks_value == "" or chunks_value is None:
update_fields[field] = "2"
else:
try:
chunks_int = int(chunks_value)
if chunks_int < 0:
return make_response(
jsonify(
{
"success": False,
"message": "Chunks value must be a non-negative integer",
}
),
400,
)
update_fields[field] = str(chunks_int)
except (ValueError, TypeError):
return make_response(
jsonify(
{
"success": False,
"message": f"Invalid chunks value: {chunks_value}",
}
),
400,
)
elif field == "tools":
tools_list = data.get("tools", [])
if isinstance(tools_list, list):
update_fields[field] = tools_list
else:
return make_response(
jsonify(
{
"success": False,
"message": "Tools must be a list",
}
),
400,
)
elif field == "json_schema":
json_schema = data.get("json_schema")
if json_schema is not None:
if not isinstance(json_schema, dict):
return make_response(
jsonify(
{
"success": False,
"message": "JSON schema must be a valid object",
}
),
400,
)
update_fields[field] = json_schema
else:
update_fields[field] = None
else:
value = data[field]
if field in ["name", "description", "prompt_id", "agent_type"]:
if not value or not str(value).strip():
return make_response(
jsonify(
{
"success": False,
"message": f"Field '{field}' cannot be empty",
}
),
400,
)
update_fields[field] = value
if image_url:
update_fields["image"] = image_url
if not update_fields:
return make_response(
jsonify(
{
"success": False,
"message": "No valid update data provided",
}
),
400,
)
newly_generated_key = None
final_status = update_fields.get("status", existing_agent.get("status"))
if final_status == "published":
required_published_fields = {
"name": "Agent name",
"description": "Agent description",
"chunks": "Chunks count",
"prompt_id": "Prompt",
"agent_type": "Agent type",
}
missing_published_fields = []
for req_field, field_label in required_published_fields.items():
final_value = update_fields.get(
req_field, existing_agent.get(req_field)
)
if not final_value:
missing_published_fields.append(field_label)
source_val = update_fields.get("source", existing_agent.get("source"))
sources_val = update_fields.get(
"sources", existing_agent.get("sources", [])
)
has_valid_source = (
isinstance(source_val, DBRef)
or source_val == "default"
or (isinstance(sources_val, list) and len(sources_val) > 0)
)
if not has_valid_source:
missing_published_fields.append("Source")
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,
)
if not existing_agent.get("key"):
newly_generated_key = str(uuid.uuid4())
update_fields["key"] = newly_generated_key
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",
}
),
404,
)
if result.modified_count == 0 and result.matched_count == 1:
return make_response(
jsonify(
{
"success": True,
"message": "No changes detected",
"id": agent_id,
}
),
200,
)
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,
)
response_data = {
"success": True,
"id": agent_id,
"message": "Agent updated successfully",
}
if newly_generated_key:
response_data["key"] = newly_generated_key
return make_response(jsonify(response_data), 200)
@agents_ns.route("/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)
@agents_ns.route("/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)
@agents_ns.route("/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},
{"$addToSet": {"agent_preferences.pinned": agent_id}},
)
action = "pinned"
except Exception as err:
current_app.logger.error(f"Error pinning/unpinning agent: {err}")
return make_response(
jsonify({"success": False, "message": "Server error"}), 500
)
return make_response(jsonify({"success": True, "action": action}), 200)
@agents_ns.route("/remove_shared_agent")
class RemoveSharedAgent(Resource):
@api.doc(
params={"id": "ID of the shared agent"},
description="Remove a shared agent from the current user's shared list",
)
def delete(self):
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False}), 401)
user_id = decoded_token.get("sub")
agent_id = request.args.get("id")
if not agent_id:
return make_response(
jsonify({"success": False, "message": "ID is required"}), 400
)
try:
agent = agents_collection.find_one(
{"_id": ObjectId(agent_id), "shared_publicly": True}
)
if not agent:
return make_response(
jsonify({"success": False, "message": "Shared agent not found"}),
404,
)
ensure_user_doc(user_id)
users_collection.update_one(
{"user_id": user_id},
{
"$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
)

View File

@@ -1,254 +0,0 @@
"""Agent management sharing functionality."""
import datetime
import secrets
from bson import DBRef
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import (
agents_collection,
db,
ensure_user_doc,
resolve_tool_details,
user_tools_collection,
users_collection,
)
from application.utils import generate_image_url
agents_sharing_ns = Namespace(
"agents", description="Agent management operations", path="/api"
)
@agents_sharing_ns.route("/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", ""),
"source": (
str(source_doc["_id"])
if isinstance(shared_agent.get("source"), DBRef)
and (source_doc := db.dereference(shared_agent.get("source")))
else ""
),
"chunks": shared_agent.get("chunks", "0"),
"retriever": shared_agent.get("retriever", "classic"),
"prompt_id": shared_agent.get("prompt_id", "default"),
"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", ""),
"json_schema": shared_agent.get("json_schema"),
"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},
{"$addToSet": {"agent_preferences.shared_with_me": agent_id}},
)
return make_response(jsonify(data), 200)
except Exception as err:
current_app.logger.error(f"Error retrieving shared agent: {err}")
return make_response(jsonify({"success": False}), 400)
@agents_sharing_ns.route("/shared_agents")
class SharedAgents(Resource):
@api.doc(description="Get shared agents explicitly shared with the user")
def get(self):
try:
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False}), 401)
user_id = decoded_token.get("sub")
user_doc = ensure_user_doc(user_id)
shared_with_ids = user_doc.get("agent_preferences", {}).get(
"shared_with_me", []
)
shared_object_ids = [ObjectId(id) for id in shared_with_ids]
shared_agents_cursor = agents_collection.find(
{"_id": {"$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", ""),
"json_schema": agent.get("json_schema"),
"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)
@agents_sharing_ns.route("/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
)

View File

@@ -1,119 +0,0 @@
"""Agent management webhook handlers."""
import secrets
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import Namespace, Resource
from application.api import api
from application.api.user.base import agents_collection, require_agent
from application.api.user.tasks import process_agent_webhook
from application.core.settings import settings
agents_webhooks_ns = Namespace(
"agents", description="Agent management operations", path="/api"
)
@agents_webhooks_ns.route("/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
)
@agents_webhooks_ns.route("/webhooks/agents/<string:webhook_token>")
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")

View File

@@ -1,5 +0,0 @@
"""Analytics module."""
from .routes import analytics_ns
__all__ = ["analytics_ns"]

View File

@@ -1,540 +0,0 @@
"""Analytics and reporting routes."""
import datetime
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import (
agents_collection,
conversations_collection,
generate_date_range,
generate_hourly_range,
generate_minute_range,
token_usage_collection,
user_logs_collection,
)
analytics_ns = Namespace(
"analytics", description="Analytics and reporting operations", path="/api"
)
@analytics_ns.route("/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
)
@analytics_ns.route("/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
)
@analytics_ns.route("/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
)
@analytics_ns.route("/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,
)

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@@ -1,5 +0,0 @@
"""Attachments module."""
from .routes import attachments_ns
__all__ = ["attachments_ns"]

View File

@@ -1,150 +0,0 @@
"""File attachments and media routes."""
import os
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import agents_collection, storage
from application.api.user.tasks import store_attachment
from application.core.settings import settings
from application.tts.google_tts import GoogleTTS
from application.utils import safe_filename
attachments_ns = Namespace(
"attachments", description="File attachments and media operations", path="/api"
)
@attachments_ns.route("/store_attachment")
class StoreAttachment(Resource):
@api.expect(
api.model(
"AttachmentModel",
{
"file": fields.Raw(required=True, description="File to upload"),
"api_key": fields.String(
required=False, description="API key (optional)"
),
},
)
)
@api.doc(
description="Stores a single attachment without vectorization or training. Supports user or API key authentication."
)
def post(self):
decoded_token = getattr(request, "decoded_token", None)
api_key = request.form.get("api_key") or request.args.get("api_key")
file = request.files.get("file")
if not file or file.filename == "":
return make_response(
jsonify({"status": "error", "message": "Missing file"}),
400,
)
user = None
if decoded_token:
user = safe_filename(decoded_token.get("sub"))
elif api_key:
agent = agents_collection.find_one({"key": api_key})
if not agent:
return make_response(
jsonify({"success": False, "message": "Invalid API key"}), 401
)
user = safe_filename(agent.get("user"))
else:
return make_response(
jsonify({"success": False, "message": "Authentication required"}), 401
)
try:
attachment_id = ObjectId()
original_filename = safe_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)
@attachments_ns.route("/images/<path:image_path>")
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
)
@attachments_ns.route("/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)

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@@ -1,222 +0,0 @@
"""
Shared utilities, database connections, and helper functions for user API routes.
"""
import datetime
import os
import uuid
from functools import wraps
from typing import Optional, Tuple
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, Response
from pymongo import ReturnDocument
from werkzeug.utils import secure_filename
from application.core.mongo_db import MongoDB
from application.core.settings import settings
from application.storage.storage_creator import StorageCreator
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"]
try:
agents_collection.create_index(
[("shared", 1)],
name="shared_index",
background=True,
)
users_collection.create_index("user_id", unique=True)
except Exception as e:
print("Error creating indexes:", e)
current_dir = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
)
def generate_minute_range(start_date, end_date):
"""Generate a dictionary with minute-level time ranges."""
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):
"""Generate a dictionary with hourly time ranges."""
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):
"""Generate a dictionary with daily date ranges."""
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):
"""
Ensure user document exists with proper agent preferences structure.
Args:
user_id: The user ID to ensure
Returns:
The user document
"""
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):
"""
Resolve tool IDs to their details.
Args:
tool_ids: List of tool IDs
Returns:
List of tool details with id, name, and display_name
"""
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 for a given source ID.
Args:
source_id (str): source id of the document
Returns:
Vector store instance
"""
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]]:
"""
Handle image file upload from request.
Args:
request: Flask request object
existing_url: Existing image URL (fallback)
user: User ID
storage: Storage instance
base_path: Base path for upload
Returns:
Tuple of (image_url, error_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, storage_class="STANDARD")
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
def require_agent(func):
"""
Decorator to require valid agent webhook token.
Args:
func: Function to decorate
Returns:
Wrapped function
"""
@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

View File

@@ -1,5 +0,0 @@
"""Conversation management module."""
from .routes import conversations_ns
__all__ = ["conversations_ns"]

View File

@@ -1,280 +0,0 @@
"""Conversation management routes."""
import datetime
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import attachments_collection, conversations_collection
from application.utils import check_required_fields
conversations_ns = Namespace(
"conversations", description="Conversation management operations", path="/api"
)
@conversations_ns.route("/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)
@conversations_ns.route("/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)
@conversations_ns.route("/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)
@conversations_ns.route("/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)
@conversations_ns.route("/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)
@conversations_ns.route("/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)

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@@ -1,5 +0,0 @@
"""Prompts module."""
from .routes import prompts_ns
__all__ = ["prompts_ns"]

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@@ -1,191 +0,0 @@
"""Prompt management routes."""
import os
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import current_dir, prompts_collection
from application.utils import check_required_fields
prompts_ns = Namespace(
"prompts", description="Prompt management operations", path="/api"
)
@prompts_ns.route("/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)
@prompts_ns.route("/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)
@prompts_ns.route("/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)
@prompts_ns.route("/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)
@prompts_ns.route("/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)

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@@ -1,5 +0,0 @@
"""Sharing module."""
from .routes import sharing_ns
__all__ = ["sharing_ns"]

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@@ -1,301 +0,0 @@
"""Conversation sharing routes."""
import uuid
from bson.binary import Binary, UuidRepresentation
from bson.dbref import DBRef
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, inputs, Namespace, Resource
from application.api import api
from application.api.user.base import (
agents_collection,
attachments_collection,
conversations_collection,
db,
shared_conversations_collections,
)
from application.utils import check_required_fields
sharing_ns = Namespace(
"sharing", description="Conversation sharing operations", path="/api"
)
@sharing_ns.route("/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)
@sharing_ns.route("/shared_conversation/<string:identifier>")
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)

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@@ -1,7 +0,0 @@
"""Sources module."""
from .chunks import sources_chunks_ns
from .routes import sources_ns
from .upload import sources_upload_ns
__all__ = ["sources_ns", "sources_chunks_ns", "sources_upload_ns"]

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@@ -1,278 +0,0 @@
"""Source document management chunk management."""
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import get_vector_store, sources_collection
from application.utils import check_required_fields, num_tokens_from_string
sources_chunks_ns = Namespace(
"sources", description="Source document management operations", path="/api"
)
@sources_chunks_ns.route("/get_chunks")
class GetChunks(Resource):
@api.doc(
description="Retrieves chunks from a document, optionally filtered by file path and search term",
params={
"id": "The document ID",
"page": "Page number for pagination",
"per_page": "Number of chunks per page",
"path": "Optional: Filter chunks by relative file path",
"search": "Optional: Search term to filter chunks by title or content",
},
)
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))
path = request.args.get("path")
search_term = request.args.get("search", "").strip().lower()
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()
filtered_chunks = []
for chunk in chunks:
metadata = chunk.get("metadata", {})
# Filter by path if provided
if path:
chunk_source = metadata.get("source", "")
# Check if the chunk's source matches the requested path
if not chunk_source or not chunk_source.endswith(path):
continue
# Filter by search term if provided
if search_term:
text_match = search_term in chunk.get("text", "").lower()
title_match = search_term in metadata.get("title", "").lower()
if not (text_match or title_match):
continue
filtered_chunks.append(chunk)
chunks = filtered_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,
"path": path if path else None,
"search": search_term if search_term else None,
}
),
200,
)
except Exception as e:
current_app.logger.error(f"Error getting chunks: {e}", exc_info=True)
return make_response(jsonify({"success": False}), 500)
@sources_chunks_ns.route("/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", {})
token_count = num_tokens_from_string(text)
metadata["token_count"] = token_count
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)
@sources_chunks_ns.route("/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)
@sources_chunks_ns.route("/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 text is not None:
token_count = num_tokens_from_string(text)
if metadata is None:
metadata = {}
metadata["token_count"] = token_count
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)
new_text = text if text is not None else existing_chunk["text"]
if metadata is not None:
new_metadata = existing_chunk["metadata"].copy()
new_metadata.update(metadata)
else:
new_metadata = existing_chunk["metadata"].copy()
if text is not None:
new_metadata["token_count"] = num_tokens_from_string(new_text)
try:
new_chunk_id = store.add_chunk(new_text, new_metadata)
deleted = store.delete_chunk(chunk_id)
if not deleted:
current_app.logger.warning(
f"Failed to delete old chunk {chunk_id}, but new chunk {new_chunk_id} was created"
)
return make_response(
jsonify(
{
"message": "Chunk updated successfully",
"chunk_id": new_chunk_id,
"original_chunk_id": chunk_id,
}
),
200,
)
except Exception as add_error:
current_app.logger.error(f"Failed to add updated chunk: {add_error}")
return make_response(
jsonify({"error": "Failed to update chunk - addition failed"}), 500
)
except Exception as e:
current_app.logger.error(f"Error updating chunk: {e}", exc_info=True)
return make_response(jsonify({"success": False}), 500)

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@@ -1,350 +0,0 @@
"""Source document management routes."""
import json
import math
import os
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, redirect, request
from flask_restx import fields, Namespace, Resource
from werkzeug.utils import secure_filename
from application.api import api
from application.api.user.base import sources_collection
from application.core.settings import settings
from application.storage.storage_creator import StorageCreator
from application.utils import check_required_fields
from application.vectorstore.vector_creator import VectorCreator
sources_ns = Namespace(
"sources", description="Source document management operations", path="/api"
)
@sources_ns.route("/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", ""),
"is_nested": bool(index.get("directory_structure")),
"type": index.get(
"type", "file"
), # Add type field with default "file"
}
)
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)
@sources_ns.route("/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", ""),
"isNested": bool(doc.get("directory_structure")),
"type": doc.get("type", "file"),
}
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)
@sources_ns.route("/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)
@sources_ns.route("/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)
@sources_ns.route("/delete_old")
class DeleteOldIndexes(Resource):
@api.doc(
description="Deletes old indexes and associated files",
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)
storage = StorageCreator.get_storage()
try:
# Delete vector index
if settings.VECTOR_STORE == "faiss":
index_path = f"indexes/{str(doc['_id'])}"
if storage.file_exists(f"{index_path}/index.faiss"):
storage.delete_file(f"{index_path}/index.faiss")
if storage.file_exists(f"{index_path}/index.pkl"):
storage.delete_file(f"{index_path}/index.pkl")
else:
vectorstore = VectorCreator.create_vectorstore(
settings.VECTOR_STORE, source_id=str(doc["_id"])
)
vectorstore.delete_index()
if "file_path" in doc and doc["file_path"]:
file_path = doc["file_path"]
if storage.is_directory(file_path):
files = storage.list_files(file_path)
for f in files:
storage.delete_file(f)
else:
storage.delete_file(file_path)
except FileNotFoundError:
pass
except Exception as err:
current_app.logger.error(
f"Error deleting files and 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)
@sources_ns.route("/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)
@sources_ns.route("/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)
@sources_ns.route("/directory_structure")
class DirectoryStructure(Resource):
@api.doc(
description="Get the directory structure for 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")
if not doc_id:
return make_response(jsonify({"error": "Document ID is required"}), 400)
if not ObjectId.is_valid(doc_id):
return make_response(jsonify({"error": "Invalid document ID"}), 400)
try:
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
)
directory_structure = doc.get("directory_structure", {})
base_path = doc.get("file_path", "")
provider = None
remote_data = doc.get("remote_data")
try:
if isinstance(remote_data, str) and remote_data:
remote_data_obj = json.loads(remote_data)
provider = remote_data_obj.get("provider")
except Exception as e:
current_app.logger.warning(
f"Failed to parse remote_data for doc {doc_id}: {e}"
)
return make_response(
jsonify(
{
"success": True,
"directory_structure": directory_structure,
"base_path": base_path,
"provider": provider,
}
),
200,
)
except Exception as e:
current_app.logger.error(
f"Error retrieving directory structure: {e}", exc_info=True
)
return make_response(jsonify({"success": False, "error": str(e)}), 500)

View File

@@ -1,572 +0,0 @@
"""Source document management upload functionality."""
import json
import os
import tempfile
import zipfile
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import sources_collection
from application.api.user.tasks import ingest, ingest_connector_task, ingest_remote
from application.core.settings import settings
from application.parser.connectors.connector_creator import ConnectorCreator
from application.storage.storage_creator import StorageCreator
from application.utils import check_required_fields, safe_filename
sources_upload_ns = Namespace(
"sources", description="Source document management operations", path="/api"
)
@sources_upload_ns.route("/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)
base_path = f"{settings.UPLOAD_FOLDER}/{safe_user}/{dir_name}"
try:
storage = StorageCreator.get_storage()
for file in files:
original_filename = file.filename
safe_file = safe_filename(original_filename)
with tempfile.TemporaryDirectory() as temp_dir:
temp_file_path = os.path.join(temp_dir, safe_file)
file.save(temp_file_path)
if zipfile.is_zipfile(temp_file_path):
try:
with zipfile.ZipFile(temp_file_path, "r") as zip_ref:
zip_ref.extractall(path=temp_dir)
# Walk through extracted files and upload them
for root, _, files in os.walk(temp_dir):
for extracted_file in files:
if (
os.path.join(root, extracted_file)
== temp_file_path
):
continue
rel_path = os.path.relpath(
os.path.join(root, extracted_file), temp_dir
)
storage_path = f"{base_path}/{rel_path}"
with open(
os.path.join(root, extracted_file), "rb"
) as f:
storage.save_file(f, storage_path)
except Exception as e:
current_app.logger.error(
f"Error extracting zip: {e}", exc_info=True
)
# If zip extraction fails, save the original zip file
file_path = f"{base_path}/{safe_file}"
with open(temp_file_path, "rb") as f:
storage.save_file(f, file_path)
else:
# For non-zip files, save directly
file_path = f"{base_path}/{safe_file}"
with open(temp_file_path, "rb") as f:
storage.save_file(f, 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,
user,
file_path=base_path,
filename=dir_name,
)
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)
@sources_upload_ns.route("/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
elif data["source"] in ConnectorCreator.get_supported_connectors():
session_token = config.get("session_token")
if not session_token:
return make_response(
jsonify(
{
"success": False,
"error": f"Missing session_token in {data['source']} configuration",
}
),
400,
)
# Process file_ids
file_ids = config.get("file_ids", [])
if isinstance(file_ids, str):
file_ids = [id.strip() for id in file_ids.split(",") if id.strip()]
elif not isinstance(file_ids, list):
file_ids = []
# Process folder_ids
folder_ids = config.get("folder_ids", [])
if isinstance(folder_ids, str):
folder_ids = [
id.strip() for id in folder_ids.split(",") if id.strip()
]
elif not isinstance(folder_ids, list):
folder_ids = []
config["file_ids"] = file_ids
config["folder_ids"] = folder_ids
task = ingest_connector_task.delay(
job_name=data["name"],
user=decoded_token.get("sub"),
source_type=data["source"],
session_token=session_token,
file_ids=file_ids,
folder_ids=folder_ids,
recursive=config.get("recursive", False),
retriever=config.get("retriever", "classic"),
)
return make_response(
jsonify({"success": True, "task_id": task.id}), 200
)
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)
@sources_upload_ns.route("/manage_source_files")
class ManageSourceFiles(Resource):
@api.expect(
api.model(
"ManageSourceFilesModel",
{
"source_id": fields.String(
required=True, description="Source ID to modify"
),
"operation": fields.String(
required=True,
description="Operation: 'add', 'remove', or 'remove_directory'",
),
"file_paths": fields.List(
fields.String,
required=False,
description="File paths to remove (for remove operation)",
),
"directory_path": fields.String(
required=False,
description="Directory path to remove (for remove_directory operation)",
),
"file": fields.Raw(
required=False, description="Files to add (for add operation)"
),
"parent_dir": fields.String(
required=False,
description="Parent directory path relative to source root",
),
},
)
)
@api.doc(
description="Add files, remove files, or remove directories from an existing source",
)
def post(self):
decoded_token = request.decoded_token
if not decoded_token:
return make_response(
jsonify({"success": False, "message": "Unauthorized"}), 401
)
user = decoded_token.get("sub")
source_id = request.form.get("source_id")
operation = request.form.get("operation")
if not source_id or not operation:
return make_response(
jsonify(
{
"success": False,
"message": "source_id and operation are required",
}
),
400,
)
if operation not in ["add", "remove", "remove_directory"]:
return make_response(
jsonify(
{
"success": False,
"message": "operation must be 'add', 'remove', or 'remove_directory'",
}
),
400,
)
try:
ObjectId(source_id)
except Exception:
return make_response(
jsonify({"success": False, "message": "Invalid source ID format"}), 400
)
try:
source = sources_collection.find_one(
{"_id": ObjectId(source_id), "user": user}
)
if not source:
return make_response(
jsonify(
{
"success": False,
"message": "Source not found or access denied",
}
),
404,
)
except Exception as err:
current_app.logger.error(f"Error finding source: {err}", exc_info=True)
return make_response(
jsonify({"success": False, "message": "Database error"}), 500
)
try:
storage = StorageCreator.get_storage()
source_file_path = source.get("file_path", "")
parent_dir = request.form.get("parent_dir", "")
if parent_dir and (parent_dir.startswith("/") or ".." in parent_dir):
return make_response(
jsonify(
{"success": False, "message": "Invalid parent directory path"}
),
400,
)
if operation == "add":
files = request.files.getlist("file")
if not files or all(file.filename == "" for file in files):
return make_response(
jsonify(
{
"success": False,
"message": "No files provided for add operation",
}
),
400,
)
added_files = []
target_dir = source_file_path
if parent_dir:
target_dir = f"{source_file_path}/{parent_dir}"
for file in files:
if file.filename:
safe_filename_str = safe_filename(file.filename)
file_path = f"{target_dir}/{safe_filename_str}"
# Save file to storage
storage.save_file(file, file_path)
added_files.append(safe_filename_str)
# Trigger re-ingestion pipeline
from application.api.user.tasks import reingest_source_task
task = reingest_source_task.delay(source_id=source_id, user=user)
return make_response(
jsonify(
{
"success": True,
"message": f"Added {len(added_files)} files",
"added_files": added_files,
"parent_dir": parent_dir,
"reingest_task_id": task.id,
}
),
200,
)
elif operation == "remove":
file_paths_str = request.form.get("file_paths")
if not file_paths_str:
return make_response(
jsonify(
{
"success": False,
"message": "file_paths required for remove operation",
}
),
400,
)
try:
file_paths = (
json.loads(file_paths_str)
if isinstance(file_paths_str, str)
else file_paths_str
)
except Exception:
return make_response(
jsonify(
{"success": False, "message": "Invalid file_paths format"}
),
400,
)
# Remove files from storage and directory structure
removed_files = []
for file_path in file_paths:
full_path = f"{source_file_path}/{file_path}"
# Remove from storage
if storage.file_exists(full_path):
storage.delete_file(full_path)
removed_files.append(file_path)
# Trigger re-ingestion pipeline
from application.api.user.tasks import reingest_source_task
task = reingest_source_task.delay(source_id=source_id, user=user)
return make_response(
jsonify(
{
"success": True,
"message": f"Removed {len(removed_files)} files",
"removed_files": removed_files,
"reingest_task_id": task.id,
}
),
200,
)
elif operation == "remove_directory":
directory_path = request.form.get("directory_path")
if not directory_path:
return make_response(
jsonify(
{
"success": False,
"message": "directory_path required for remove_directory operation",
}
),
400,
)
# Validate directory path (prevent path traversal)
if directory_path.startswith("/") or ".." in directory_path:
current_app.logger.warning(
f"Invalid directory path attempted for removal. "
f"User: {user}, Source ID: {source_id}, Directory path: {directory_path}"
)
return make_response(
jsonify(
{"success": False, "message": "Invalid directory path"}
),
400,
)
full_directory_path = (
f"{source_file_path}/{directory_path}"
if directory_path
else source_file_path
)
if not storage.is_directory(full_directory_path):
current_app.logger.warning(
f"Directory not found or is not a directory for removal. "
f"User: {user}, Source ID: {source_id}, Directory path: {directory_path}, "
f"Full path: {full_directory_path}"
)
return make_response(
jsonify(
{
"success": False,
"message": "Directory not found or is not a directory",
}
),
404,
)
success = storage.remove_directory(full_directory_path)
if not success:
current_app.logger.error(
f"Failed to remove directory from storage. "
f"User: {user}, Source ID: {source_id}, Directory path: {directory_path}, "
f"Full path: {full_directory_path}"
)
return make_response(
jsonify(
{"success": False, "message": "Failed to remove directory"}
),
500,
)
current_app.logger.info(
f"Successfully removed directory. "
f"User: {user}, Source ID: {source_id}, Directory path: {directory_path}, "
f"Full path: {full_directory_path}"
)
# Trigger re-ingestion pipeline
from application.api.user.tasks import reingest_source_task
task = reingest_source_task.delay(source_id=source_id, user=user)
return make_response(
jsonify(
{
"success": True,
"message": f"Successfully removed directory: {directory_path}",
"removed_directory": directory_path,
"reingest_task_id": task.id,
}
),
200,
)
except Exception as err:
error_context = f"operation={operation}, user={user}, source_id={source_id}"
if operation == "remove_directory":
directory_path = request.form.get("directory_path", "")
error_context += f", directory_path={directory_path}"
elif operation == "remove":
file_paths_str = request.form.get("file_paths", "")
error_context += f", file_paths={file_paths_str}"
elif operation == "add":
parent_dir = request.form.get("parent_dir", "")
error_context += f", parent_dir={parent_dir}"
current_app.logger.error(
f"Error managing source files: {err} ({error_context})", exc_info=True
)
return make_response(
jsonify({"success": False, "message": "Operation failed"}), 500
)
@sources_upload_ns.route("/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)

View File

@@ -5,8 +5,6 @@ from application.worker import (
agent_webhook_worker,
attachment_worker,
ingest_worker,
mcp_oauth,
mcp_oauth_status,
remote_worker,
sync_worker,
)
@@ -27,7 +25,6 @@ def ingest_remote(self, source_data, job_name, user, loader):
@celery.task(bind=True)
def reingest_source_task(self, source_id, user):
from application.worker import reingest_source_worker
resp = reingest_source_worker(self, source_id, user)
return resp
@@ -63,10 +60,9 @@ def ingest_connector_task(
retriever="classic",
operation_mode="upload",
doc_id=None,
sync_frequency="never",
sync_frequency="never"
):
from application.worker import ingest_connector
resp = ingest_connector(
self,
job_name,
@@ -79,7 +75,7 @@ def ingest_connector_task(
retriever=retriever,
operation_mode=operation_mode,
doc_id=doc_id,
sync_frequency=sync_frequency,
sync_frequency=sync_frequency
)
return resp
@@ -98,15 +94,3 @@ def setup_periodic_tasks(sender, **kwargs):
timedelta(days=30),
schedule_syncs.s("monthly"),
)
@celery.task(bind=True)
def mcp_oauth_task(self, config, user):
resp = mcp_oauth(self, config, user)
return resp
@celery.task(bind=True)
def mcp_oauth_status_task(self, task_id):
resp = mcp_oauth_status(self, task_id)
return resp

View File

@@ -1,6 +0,0 @@
"""Tools module."""
from .mcp import tools_mcp_ns
from .routes import tools_ns
__all__ = ["tools_ns", "tools_mcp_ns"]

View File

@@ -1,333 +0,0 @@
"""Tool management MCP server integration."""
import json
from email.quoprimime import unquote
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, redirect, request
from flask_restx import fields, Namespace, Resource
from application.agents.tools.mcp_tool import MCPOAuthManager, MCPTool
from application.api import api
from application.api.user.base import user_tools_collection
from application.cache import get_redis_instance
from application.security.encryption import encrypt_credentials
from application.utils import check_required_fields
tools_mcp_ns = Namespace("tools", description="Tool management operations", path="/api")
@tools_mcp_ns.route("/mcp_server/test")
class TestMCPServerConfig(Resource):
@api.expect(
api.model(
"MCPServerTestModel",
{
"config": fields.Raw(
required=True, description="MCP server configuration to test"
),
},
)
)
@api.doc(description="Test MCP server connection with provided configuration")
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 = ["config"]
missing_fields = check_required_fields(data, required_fields)
if missing_fields:
return missing_fields
try:
config = data["config"]
auth_credentials = {}
auth_type = config.get("auth_type", "none")
if auth_type == "api_key" and "api_key" in config:
auth_credentials["api_key"] = config["api_key"]
if "api_key_header" in config:
auth_credentials["api_key_header"] = config["api_key_header"]
elif auth_type == "bearer" and "bearer_token" in config:
auth_credentials["bearer_token"] = config["bearer_token"]
elif auth_type == "basic":
if "username" in config:
auth_credentials["username"] = config["username"]
if "password" in config:
auth_credentials["password"] = config["password"]
test_config = config.copy()
test_config["auth_credentials"] = auth_credentials
mcp_tool = MCPTool(config=test_config, user_id=user)
result = mcp_tool.test_connection()
return make_response(jsonify(result), 200)
except Exception as e:
current_app.logger.error(f"Error testing MCP server: {e}", exc_info=True)
return make_response(
jsonify(
{"success": False, "error": f"Connection test failed: {str(e)}"}
),
500,
)
@tools_mcp_ns.route("/mcp_server/save")
class MCPServerSave(Resource):
@api.expect(
api.model(
"MCPServerSaveModel",
{
"id": fields.String(
required=False, description="Tool ID for updates (optional)"
),
"displayName": fields.String(
required=True, description="Display name for the MCP server"
),
"config": fields.Raw(
required=True, description="MCP server configuration"
),
"status": fields.Boolean(
required=False, default=True, description="Tool status"
),
},
)
)
@api.doc(description="Create or update MCP server with automatic tool discovery")
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 = ["displayName", "config"]
missing_fields = check_required_fields(data, required_fields)
if missing_fields:
return missing_fields
try:
config = data["config"]
auth_credentials = {}
auth_type = config.get("auth_type", "none")
if auth_type == "api_key":
if "api_key" in config and config["api_key"]:
auth_credentials["api_key"] = config["api_key"]
if "api_key_header" in config:
auth_credentials["api_key_header"] = config["api_key_header"]
elif auth_type == "bearer":
if "bearer_token" in config and config["bearer_token"]:
auth_credentials["bearer_token"] = config["bearer_token"]
elif auth_type == "basic":
if "username" in config and config["username"]:
auth_credentials["username"] = config["username"]
if "password" in config and config["password"]:
auth_credentials["password"] = config["password"]
mcp_config = config.copy()
mcp_config["auth_credentials"] = auth_credentials
if auth_type == "oauth":
if not config.get("oauth_task_id"):
return make_response(
jsonify(
{
"success": False,
"error": "Connection not authorized. Please complete the OAuth authorization first.",
}
),
400,
)
redis_client = get_redis_instance()
manager = MCPOAuthManager(redis_client)
result = manager.get_oauth_status(config["oauth_task_id"])
if not result.get("status") == "completed":
return make_response(
jsonify(
{
"success": False,
"error": "OAuth failed or not completed. Please try authorizing again.",
}
),
400,
)
actions_metadata = result.get("tools", [])
elif auth_type == "none" or auth_credentials:
mcp_tool = MCPTool(config=mcp_config, user_id=user)
mcp_tool.discover_tools()
actions_metadata = mcp_tool.get_actions_metadata()
else:
raise Exception(
"No valid credentials provided for the selected authentication type"
)
storage_config = config.copy()
if auth_credentials:
encrypted_credentials_string = encrypt_credentials(
auth_credentials, user
)
storage_config["encrypted_credentials"] = encrypted_credentials_string
for field in [
"api_key",
"bearer_token",
"username",
"password",
"api_key_header",
]:
storage_config.pop(field, None)
transformed_actions = []
for action in actions_metadata:
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)
tool_data = {
"name": "mcp_tool",
"displayName": data["displayName"],
"customName": data["displayName"],
"description": f"MCP Server: {storage_config.get('server_url', 'Unknown')}",
"config": storage_config,
"actions": transformed_actions,
"status": data.get("status", True),
"user": user,
}
tool_id = data.get("id")
if tool_id:
result = user_tools_collection.update_one(
{"_id": ObjectId(tool_id), "user": user, "name": "mcp_tool"},
{"$set": {k: v for k, v in tool_data.items() if k != "user"}},
)
if result.matched_count == 0:
return make_response(
jsonify(
{
"success": False,
"error": "Tool not found or access denied",
}
),
404,
)
response_data = {
"success": True,
"id": tool_id,
"message": f"MCP server updated successfully! Discovered {len(transformed_actions)} tools.",
"tools_count": len(transformed_actions),
}
else:
result = user_tools_collection.insert_one(tool_data)
tool_id = str(result.inserted_id)
response_data = {
"success": True,
"id": tool_id,
"message": f"MCP server created successfully! Discovered {len(transformed_actions)} tools.",
"tools_count": len(transformed_actions),
}
return make_response(jsonify(response_data), 200)
except Exception as e:
current_app.logger.error(f"Error saving MCP server: {e}", exc_info=True)
return make_response(
jsonify(
{"success": False, "error": f"Failed to save MCP server: {str(e)}"}
),
500,
)
@tools_mcp_ns.route("/mcp_server/callback")
class MCPOAuthCallback(Resource):
@api.expect(
api.model(
"MCPServerCallbackModel",
{
"code": fields.String(required=True, description="Authorization code"),
"state": fields.String(required=True, description="State parameter"),
"error": fields.String(
required=False, description="Error message (if any)"
),
},
)
)
@api.doc(
description="Handle OAuth callback by providing the authorization code and state"
)
def get(self):
code = request.args.get("code")
state = request.args.get("state")
error = request.args.get("error")
if error:
return redirect(
f"/api/connectors/callback-status?status=error&message=OAuth+error:+{error}.+Please+try+again+and+make+sure+to+grant+all+requested+permissions,+including+offline+access.&provider=mcp_tool"
)
if not code or not state:
return redirect(
"/api/connectors/callback-status?status=error&message=Authorization+code+or+state+not+provided.+Please+complete+the+authorization+process+and+make+sure+to+grant+offline+access.&provider=mcp_tool"
)
try:
redis_client = get_redis_instance()
if not redis_client:
return redirect(
"/api/connectors/callback-status?status=error&message=Internal+server+error:+Redis+not+available.&provider=mcp_tool"
)
code = unquote(code)
manager = MCPOAuthManager(redis_client)
success = manager.handle_oauth_callback(state, code, error)
if success:
return redirect(
"/api/connectors/callback-status?status=success&message=Authorization+code+received+successfully.+You+can+close+this+window.&provider=mcp_tool"
)
else:
return redirect(
"/api/connectors/callback-status?status=error&message=OAuth+callback+failed.&provider=mcp_tool"
)
except Exception as e:
current_app.logger.error(
f"Error handling MCP OAuth callback: {str(e)}", exc_info=True
)
return redirect(
f"/api/connectors/callback-status?status=error&message=Internal+server+error:+{str(e)}.&provider=mcp_tool"
)
@tools_mcp_ns.route("/mcp_server/oauth_status/<string:task_id>")
class MCPOAuthStatus(Resource):
def get(self, task_id):
"""
Get current status of OAuth flow.
Frontend should poll this endpoint periodically.
"""
try:
redis_client = get_redis_instance()
status_key = f"mcp_oauth_status:{task_id}"
status_data = redis_client.get(status_key)
if status_data:
status = json.loads(status_data)
return make_response(
jsonify({"success": True, "task_id": task_id, **status})
)
else:
return make_response(
jsonify(
{
"success": False,
"error": "Task not found or expired",
"task_id": task_id,
}
),
404,
)
except Exception as e:
current_app.logger.error(
f"Error getting OAuth status for task {task_id}: {str(e)}"
)
return make_response(
jsonify({"success": False, "error": str(e), "task_id": task_id}), 500
)

View File

@@ -1,415 +0,0 @@
"""Tool management routes."""
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.agents.tools.tool_manager import ToolManager
from application.api import api
from application.api.user.base import user_tools_collection
from application.security.encryption import decrypt_credentials, encrypt_credentials
from application.utils import check_required_fields, validate_function_name
tool_config = {}
tool_manager = ToolManager(config=tool_config)
tools_ns = Namespace("tools", description="Tool management operations", path="/api")
@tools_ns.route("/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(),
}
)
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)
@tools_ns.route("/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)
@tools_ns.route("/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"
),
"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",
"config",
"status",
]
missing_fields = check_required_fields(data, required_fields)
if missing_fields:
return missing_fields
try:
tool_instance = tool_manager.tools.get(data["name"])
if not tool_instance:
return make_response(
jsonify({"success": False, "message": "Tool not found"}), 404
)
actions_metadata = tool_instance.get_actions_metadata()
transformed_actions = []
for action in actions_metadata:
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)
except Exception as err:
current_app.logger.error(
f"Error getting tool actions: {err}", exc_info=True
)
return make_response(jsonify({"success": False}), 400)
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)
@tools_ns.route("/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_-]+$'.",
"param": "tools[].function.name",
}
),
400,
)
tool_doc = user_tools_collection.find_one(
{"_id": ObjectId(data["id"]), "user": user}
)
if tool_doc and tool_doc.get("name") == "mcp_tool":
config = data["config"]
existing_config = tool_doc.get("config", {})
storage_config = existing_config.copy()
storage_config.update(config)
existing_credentials = {}
if "encrypted_credentials" in existing_config:
existing_credentials = decrypt_credentials(
existing_config["encrypted_credentials"], user
)
auth_credentials = existing_credentials.copy()
auth_type = storage_config.get("auth_type", "none")
if auth_type == "api_key":
if "api_key" in config and config["api_key"]:
auth_credentials["api_key"] = config["api_key"]
if "api_key_header" in config:
auth_credentials["api_key_header"] = config[
"api_key_header"
]
elif auth_type == "bearer":
if "bearer_token" in config and config["bearer_token"]:
auth_credentials["bearer_token"] = config["bearer_token"]
elif "encrypted_token" in config and config["encrypted_token"]:
auth_credentials["bearer_token"] = config["encrypted_token"]
elif auth_type == "basic":
if "username" in config and config["username"]:
auth_credentials["username"] = config["username"]
if "password" in config and config["password"]:
auth_credentials["password"] = config["password"]
if auth_type != "none" and auth_credentials:
encrypted_credentials_string = encrypt_credentials(
auth_credentials, user
)
storage_config["encrypted_credentials"] = (
encrypted_credentials_string
)
elif auth_type == "none":
storage_config.pop("encrypted_credentials", None)
for field in [
"api_key",
"bearer_token",
"encrypted_token",
"username",
"password",
"api_key_header",
]:
storage_config.pop(field, None)
update_data["config"] = storage_config
else:
update_data["config"] = data["config"]
if "status" in data:
update_data["status"] = data["status"]
user_tools_collection.update_one(
{"_id": ObjectId(data["id"]), "user": user},
{"$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)
@tools_ns.route("/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},
{"$set": {"config": data["config"]}},
)
except Exception as err:
current_app.logger.error(
f"Error updating tool config: {err}", exc_info=True
)
return make_response(jsonify({"success": False}), 400)
return make_response(jsonify({"success": True}), 200)
@tools_ns.route("/update_tool_actions")
class UpdateToolActions(Resource):
@api.expect(
api.model(
"UpdateToolActionsModel",
{
"id": fields.String(required=True, description="Tool ID"),
"actions": fields.List(
fields.Raw,
required=True,
description="Actions the tool can perform",
),
},
)
)
@api.doc(description="Update the actions of a tool")
def post(self):
decoded_token = request.decoded_token
if not decoded_token:
return make_response(jsonify({"success": False}), 401)
user = decoded_token.get("sub")
data = request.get_json()
required_fields = ["id", "actions"]
missing_fields = check_required_fields(data, required_fields)
if missing_fields:
return missing_fields
try:
user_tools_collection.update_one(
{"_id": ObjectId(data["id"]), "user": user},
{"$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)
@tools_ns.route("/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)
@tools_ns.route("/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

View File

@@ -26,7 +26,7 @@ class Settings(BaseSettings):
"gpt-4o-mini": 128000,
"gpt-3.5-turbo": 4096,
"claude-2": 1e5,
"gemini-2.5-flash": 1e6,
"gemini-2.0-flash-exp": 1e6,
}
UPLOAD_FOLDER: str = "inputs"
PARSE_PDF_AS_IMAGE: bool = False
@@ -41,15 +41,11 @@ class Settings(BaseSettings):
FALLBACK_LLM_API_KEY: Optional[str] = None # api key for fallback llm
# Google Drive integration
GOOGLE_CLIENT_ID: Optional[str] = (
None # Replace with your actual Google OAuth client ID
)
GOOGLE_CLIENT_SECRET: Optional[str] = (
None # Replace with your actual Google OAuth client secret
)
CONNECTOR_REDIRECT_BASE_URI: Optional[str] = (
"http://127.0.0.1:7091/api/connectors/callback" ##add redirect url as it is to your provider's console(gcp)
)
GOOGLE_CLIENT_ID: Optional[str] = None # Replace with your actual Google OAuth client ID
GOOGLE_CLIENT_SECRET: Optional[str] = None# Replace with your actual Google OAuth client secret
CONNECTOR_REDIRECT_BASE_URI: Optional[str] = "http://127.0.0.1:7091/api/connectors/callback"
##append ?provider={provider_name} in your Provider console like http://127.0.0.1:7091/api/connectors/callback?provider=google_drive
# LLM Cache
CACHE_REDIS_URL: str = "redis://localhost:6379/2"
@@ -100,7 +96,7 @@ class Settings(BaseSettings):
QDRANT_HOST: Optional[str] = None
QDRANT_PATH: Optional[str] = None
QDRANT_DISTANCE_FUNC: str = "Cosine"
# PGVector vectorstore config
PGVECTOR_CONNECTION_STRING: Optional[str] = None
# Milvus vectorstore config
@@ -120,10 +116,6 @@ class Settings(BaseSettings):
JWT_SECRET_KEY: str = ""
# Encryption settings
ENCRYPTION_SECRET_KEY: str = "default-docsgpt-encryption-key"
ELEVENLABS_API_KEY: Optional[str] = None
path = Path(__file__).parent.parent.absolute()
settings = Settings(_env_file=path.joinpath(".env"), _env_file_encoding="utf-8")

View File

@@ -143,7 +143,6 @@ class GoogleLLM(BaseLLM):
raise
def _clean_messages_google(self, messages):
"""Convert OpenAI format messages to Google AI format."""
cleaned_messages = []
for message in messages:
role = message.get("role")
@@ -151,8 +150,6 @@ class GoogleLLM(BaseLLM):
if role == "assistant":
role = "model"
elif role == "tool":
role = "model"
parts = []
if role and content is not None:
@@ -191,63 +188,11 @@ class GoogleLLM(BaseLLM):
else:
raise ValueError(f"Unexpected content type: {type(content)}")
if parts:
cleaned_messages.append(types.Content(role=role, parts=parts))
cleaned_messages.append(types.Content(role=role, parts=parts))
return cleaned_messages
def _clean_schema(self, schema_obj):
"""
Recursively remove unsupported fields from schema objects
and validate required properties.
"""
if not isinstance(schema_obj, dict):
return schema_obj
allowed_fields = {
"type",
"description",
"items",
"properties",
"required",
"enum",
"pattern",
"minimum",
"maximum",
"nullable",
"default",
}
cleaned = {}
for key, value in schema_obj.items():
if key not in allowed_fields:
continue
elif key == "type" and isinstance(value, str):
cleaned[key] = value.upper()
elif isinstance(value, dict):
cleaned[key] = self._clean_schema(value)
elif isinstance(value, list):
cleaned[key] = [self._clean_schema(item) for item in value]
else:
cleaned[key] = value
# Validate that required properties actually exist in properties
if "required" in cleaned and "properties" in cleaned:
valid_required = []
properties_keys = set(cleaned["properties"].keys())
for required_prop in cleaned["required"]:
if required_prop in properties_keys:
valid_required.append(required_prop)
if valid_required:
cleaned["required"] = valid_required
else:
cleaned.pop("required", None)
elif "required" in cleaned and "properties" not in cleaned:
cleaned.pop("required", None)
return cleaned
def _clean_tools_format(self, tools_list):
"""Convert OpenAI format tools to Google AI format."""
genai_tools = []
for tool_data in tools_list:
if tool_data["type"] == "function":
@@ -256,16 +201,18 @@ class GoogleLLM(BaseLLM):
properties = parameters.get("properties", {})
if properties:
cleaned_properties = {}
for k, v in properties.items():
cleaned_properties[k] = self._clean_schema(v)
genai_function = dict(
name=function["name"],
description=function["description"],
parameters={
"type": "OBJECT",
"properties": cleaned_properties,
"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
@@ -295,7 +242,6 @@ class GoogleLLM(BaseLLM):
response_schema=None,
**kwargs,
):
"""Generate content using Google AI API without streaming."""
client = genai.Client(api_key=self.api_key)
if formatting == "openai":
messages = self._clean_messages_google(messages)
@@ -335,7 +281,6 @@ class GoogleLLM(BaseLLM):
response_schema=None,
**kwargs,
):
"""Generate content using Google AI API with streaming."""
client = genai.Client(api_key=self.api_key)
if formatting == "openai":
messages = self._clean_messages_google(messages)
@@ -386,15 +331,12 @@ class GoogleLLM(BaseLLM):
yield chunk.text
def _supports_tools(self):
"""Return whether this LLM supports function calling."""
return True
def _supports_structured_output(self):
"""Return whether this LLM supports structured JSON output."""
return True
def prepare_structured_output_format(self, json_schema):
"""Convert JSON schema to Google AI structured output format."""
if not json_schema:
return None

View File

@@ -205,6 +205,7 @@ class LLMHandler(ABC):
except StopIteration as e:
tool_response, call_id = e.value
break
updated_messages.append(
{
"role": "assistant",
@@ -221,36 +222,17 @@ class LLMHandler(ABC):
)
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)
error_call = ToolCall(
id=call.id, name=call.name, arguments=call.arguments
updated_messages.append(
{
"role": "tool",
"content": f"Error executing tool: {str(e)}",
"tool_call_id": call.id,
}
)
error_response = f"Error executing tool: {str(e)}"
error_message = self.create_tool_message(error_call, error_response)
updated_messages.append(error_message)
call_parts = call.name.split("_")
if len(call_parts) >= 2:
tool_id = call_parts[-1] # Last part is tool ID (e.g., "1")
action_name = "_".join(call_parts[:-1])
tool_name = tools_dict.get(tool_id, {}).get("name", "unknown_tool")
full_action_name = f"{action_name}_{tool_id}"
else:
tool_name = "unknown_tool"
action_name = call.name
full_action_name = call.name
yield {
"type": "tool_call",
"data": {
"tool_name": tool_name,
"call_id": call.id,
"action_name": full_action_name,
"arguments": call.arguments,
"error": error_response,
"status": "error",
},
}
return updated_messages
def handle_non_streaming(
@@ -281,11 +263,13 @@ class LLMHandler(ABC):
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(

View File

@@ -17,6 +17,7 @@ class GoogleLLMHandler(LLMHandler):
finish_reason="stop",
raw_response=response,
)
if hasattr(response, "candidates"):
parts = response.candidates[0].content.parts if response.candidates else []
tool_calls = [
@@ -40,6 +41,7 @@ class GoogleLLMHandler(LLMHandler):
finish_reason="tool_calls" if tool_calls else "stop",
raw_response=response,
)
else:
tool_calls = []
if hasattr(response, "function_call"):
@@ -59,16 +61,14 @@ class GoogleLLMHandler(LLMHandler):
def create_tool_message(self, tool_call: ToolCall, result: Any) -> Dict:
"""Create Google-style tool message."""
from google.genai import types
return {
"role": "model",
"role": "tool",
"content": [
{
"function_response": {
"name": tool_call.name,
"response": {"result": result},
}
}
types.Part.from_function_response(
name=tool_call.name, response={"result": result}
).to_json_dict()
],
}

View File

@@ -17,13 +17,14 @@ class GoogleDriveAuth(BaseConnectorAuth):
"""
SCOPES = [
'https://www.googleapis.com/auth/drive.file'
'https://www.googleapis.com/auth/drive.readonly',
'https://www.googleapis.com/auth/drive.metadata.readonly'
]
def __init__(self):
self.client_id = settings.GOOGLE_CLIENT_ID
self.client_secret = settings.GOOGLE_CLIENT_SECRET
self.redirect_uri = f"{settings.CONNECTOR_REDIRECT_BASE_URI}"
self.redirect_uri = f"{settings.CONNECTOR_REDIRECT_BASE_URI}?provider=google_drive"
if not self.client_id or not self.client_secret:
raise ValueError("Google OAuth credentials not configured. Please set GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET in settings.")
@@ -49,7 +50,7 @@ class GoogleDriveAuth(BaseConnectorAuth):
authorization_url, _ = flow.authorization_url(
access_type='offline',
prompt='consent',
include_granted_scopes='false',
include_granted_scopes='true',
state=state
)

View File

@@ -32,10 +32,6 @@ class GoogleDriveLoader(BaseConnectorLoader):
'text/plain': '.txt',
'text/csv': '.csv',
'text/html': '.html',
'text/markdown': '.md',
'text/x-rst': '.rst',
'application/json': '.json',
'application/epub+zip': '.epub',
'application/rtf': '.rtf',
'image/jpeg': '.jpg',
'image/jpg': '.jpg',
@@ -124,7 +120,6 @@ class GoogleDriveLoader(BaseConnectorLoader):
list_only = inputs.get('list_only', False)
load_content = not list_only
page_token = inputs.get('page_token')
search_query = inputs.get('search_query')
self.next_page_token = None
if file_ids:
@@ -133,18 +128,12 @@ class GoogleDriveLoader(BaseConnectorLoader):
try:
doc = self._load_file_by_id(file_id, load_content=load_content)
if doc:
if not search_query or (
search_query.lower() in doc.extra_info.get('file_name', '').lower()
):
documents.append(doc)
documents.append(doc)
elif hasattr(self, '_credential_refreshed') and self._credential_refreshed:
self._credential_refreshed = False
logging.info(f"Retrying load of file {file_id} after credential refresh")
doc = self._load_file_by_id(file_id, load_content=load_content)
if doc and (
not search_query or
search_query.lower() in doc.extra_info.get('file_name', '').lower()
):
if doc:
documents.append(doc)
except Exception as e:
logging.error(f"Error loading file {file_id}: {e}")
@@ -152,13 +141,7 @@ class GoogleDriveLoader(BaseConnectorLoader):
else:
# Browsing mode: list immediate children of provided folder or root
parent_id = folder_id if folder_id else 'root'
documents = self._list_items_in_parent(
parent_id,
limit=limit,
load_content=load_content,
page_token=page_token,
search_query=search_query
)
documents = self._list_items_in_parent(parent_id, limit=limit, load_content=load_content, page_token=page_token)
logging.info(f"Loaded {len(documents)} documents from Google Drive")
return documents
@@ -201,18 +184,13 @@ class GoogleDriveLoader(BaseConnectorLoader):
return None
def _list_items_in_parent(self, parent_id: str, limit: int = 100, load_content: bool = False, page_token: Optional[str] = None, search_query: Optional[str] = None) -> List[Document]:
def _list_items_in_parent(self, parent_id: str, limit: int = 100, load_content: bool = False, page_token: Optional[str] = None) -> List[Document]:
self._ensure_service()
documents: List[Document] = []
try:
query = f"'{parent_id}' in parents and trashed=false"
if search_query:
safe_search = search_query.replace("'", "\\'")
query += f" and name contains '{safe_search}'"
next_token_out: Optional[str] = None
while True:
@@ -227,8 +205,7 @@ class GoogleDriveLoader(BaseConnectorLoader):
q=query,
fields='nextPageToken,files(id,name,mimeType,size,createdTime,modifiedTime,parents)',
pageToken=page_token,
pageSize=page_size,
orderBy='name'
pageSize=page_size
).execute()
items = results.get('files', [])

View File

@@ -2,7 +2,6 @@ anthropic==0.49.0
boto3==1.38.18
beautifulsoup4==4.13.4
celery==5.4.0
cryptography==42.0.8
dataclasses-json==0.6.7
docx2txt==0.8
duckduckgo-search==7.5.2
@@ -12,7 +11,6 @@ esprima==4.0.1
esutils==1.0.1
Flask==3.1.1
faiss-cpu==1.9.0.post1
fastmcp==2.11.0
flask-restx==1.3.0
google-genai==1.3.0
google-api-python-client==2.179.0
@@ -57,13 +55,13 @@ prompt-toolkit==3.0.51
protobuf==5.29.3
psycopg2-binary==2.9.10
py==1.11.0
pydantic
pydantic-core
pydantic-settings
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
python-dotenv==1.0.1
python-jose==3.4.0
python-pptx==1.0.2
redis==5.2.1
@@ -83,7 +81,7 @@ tzdata==2024.2
urllib3==2.3.0
vine==5.1.0
wcwidth==0.2.13
werkzeug>=3.1.0,<3.1.2
werkzeug==3.1.3
yarl==1.20.0
markdownify==1.1.0
tldextract==5.1.3

View File

@@ -5,6 +5,10 @@ class BaseRetriever(ABC):
def __init__(self):
pass
@abstractmethod
def gen(self, *args, **kwargs):
pass
@abstractmethod
def search(self, *args, **kwargs):
pass

View File

@@ -1,6 +1,4 @@
import logging
import os
from application.core.settings import settings
from application.llm.llm_creator import LLMCreator
from application.retriever.base import BaseRetriever
@@ -22,25 +20,10 @@ class ClassicRAG(BaseRetriever):
api_key=settings.API_KEY,
decoded_token=None,
):
"""Initialize ClassicRAG retriever with vectorstore sources and LLM configuration"""
self.original_question = source.get("question", "")
self.original_question = ""
self.chat_history = chat_history if chat_history is not None else []
self.prompt = prompt
if isinstance(chunks, str):
try:
self.chunks = int(chunks)
except ValueError:
logging.warning(
f"Invalid chunks value '{chunks}', using default value 2"
)
self.chunks = 2
else:
self.chunks = chunks
user_identifier = user_api_key if user_api_key else "default"
logging.info(
f"ClassicRAG initialized with chunks={self.chunks}, user_api_key={user_identifier}, "
f"sources={'active_docs' in source and source['active_docs'] is not None}"
)
self.chunks = chunks
self.gpt_model = gpt_model
self.token_limit = (
token_limit
@@ -61,48 +44,26 @@ class ClassicRAG(BaseRetriever):
user_api_key=self.user_api_key,
decoded_token=decoded_token,
)
if "active_docs" in source and source["active_docs"] is not None:
if isinstance(source["active_docs"], list):
self.vectorstores = source["active_docs"]
else:
self.vectorstores = [source["active_docs"]]
else:
self.vectorstores = []
self.vectorstore = source["active_docs"] if "active_docs" in source else None
self.question = self._rephrase_query()
self.decoded_token = decoded_token
self._validate_vectorstore_config()
def _validate_vectorstore_config(self):
"""Validate vectorstore IDs and remove any empty/invalid entries"""
if not self.vectorstores:
logging.warning("No vectorstores configured for retrieval")
return
invalid_ids = [
vs_id for vs_id in self.vectorstores if not vs_id or not vs_id.strip()
]
if invalid_ids:
logging.warning(f"Found invalid vectorstore IDs: {invalid_ids}")
self.vectorstores = [
vs_id for vs_id in self.vectorstores if vs_id and vs_id.strip()
]
def _rephrase_query(self):
"""Rephrase user query with chat history context for better retrieval"""
if (
not self.original_question
or not self.chat_history
or self.chat_history == []
or self.chunks == 0
or not self.vectorstores
or self.vectorstore is None
):
return self.original_question
prompt = (
"Given the following conversation history:\n"
f"{self.chat_history}\n\n"
"Rephrase the following user question to be a standalone search query "
"that captures all relevant context from the conversation:\n"
)
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},
@@ -118,89 +79,44 @@ class ClassicRAG(BaseRetriever):
return self.original_question
def _get_data(self):
"""Retrieve relevant documents from configured vectorstores"""
if self.chunks == 0 or not self.vectorstores:
logging.info(
f"ClassicRAG._get_data: Skipping retrieval - chunks={self.chunks}, "
f"vectorstores_count={len(self.vectorstores) if self.vectorstores else 0}"
if self.chunks == 0 or self.vectorstore is None:
docs = []
else:
docsearch = VectorCreator.create_vectorstore(
settings.VECTOR_STORE, self.vectorstore, settings.EMBEDDINGS_KEY
)
return []
all_docs = []
chunks_per_source = max(1, self.chunks // len(self.vectorstores))
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
]
logging.info(
f"ClassicRAG._get_data: Starting retrieval with chunks={self.chunks}, "
f"vectorstores={self.vectorstores}, chunks_per_source={chunks_per_source}, "
f"query='{self.question[:50]}...'"
)
return docs
for vectorstore_id in self.vectorstores:
if vectorstore_id:
try:
docsearch = VectorCreator.create_vectorstore(
settings.VECTOR_STORE, vectorstore_id, settings.EMBEDDINGS_KEY
)
docs_temp = docsearch.search(self.question, k=chunks_per_source)
for doc in docs_temp:
if hasattr(doc, "page_content") and hasattr(doc, "metadata"):
page_content = doc.page_content
metadata = doc.metadata
else:
page_content = doc.get("text", doc.get("page_content", ""))
metadata = doc.get("metadata", {})
title = metadata.get(
"title", metadata.get("post_title", page_content)
)
if not isinstance(title, str):
title = str(title)
title = title.split("/")[-1]
filename = (
metadata.get("filename")
or metadata.get("file_name")
or metadata.get("source")
)
if isinstance(filename, str):
filename = os.path.basename(filename) or filename
else:
filename = title
if not filename:
filename = title
source_path = metadata.get("source") or vectorstore_id
all_docs.append(
{
"title": title,
"text": page_content,
"source": source_path,
"filename": filename,
}
)
except Exception as e:
logging.error(
f"Error searching vectorstore {vectorstore_id}: {e}",
exc_info=True,
)
continue
logging.info(
f"ClassicRAG._get_data: Retrieval complete - retrieved {len(all_docs)} documents "
f"(requested chunks={self.chunks}, chunks_per_source={chunks_per_source})"
)
return all_docs
def gen():
pass
def search(self, query: str = ""):
"""Search for documents using optional query override"""
if query:
self.original_question = query
self.question = self._rephrase_query()
return self._get_data()
def get_params(self):
"""Return current retriever configuration parameters"""
return {
"question": self.original_question,
"rephrased_question": self.question,
"sources": self.vectorstores,
"source": self.vectorstore,
"chunks": self.chunks,
"token_limit": self.token_limit,
"gpt_model": self.gpt_model,

View File

@@ -1,85 +0,0 @@
import base64
import json
import os
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.ciphers import algorithms, Cipher, modes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from application.core.settings import settings
def _derive_key(user_id: str, salt: bytes) -> bytes:
app_secret = settings.ENCRYPTION_SECRET_KEY
password = f"{app_secret}#{user_id}".encode()
kdf = PBKDF2HMAC(
algorithm=hashes.SHA256(),
length=32,
salt=salt,
iterations=100000,
backend=default_backend(),
)
return kdf.derive(password)
def encrypt_credentials(credentials: dict, user_id: str) -> str:
if not credentials:
return ""
try:
salt = os.urandom(16)
iv = os.urandom(16)
key = _derive_key(user_id, salt)
json_str = json.dumps(credentials)
cipher = Cipher(algorithms.AES(key), modes.CBC(iv), backend=default_backend())
encryptor = cipher.encryptor()
padded_data = _pad_data(json_str.encode())
encrypted_data = encryptor.update(padded_data) + encryptor.finalize()
result = salt + iv + encrypted_data
return base64.b64encode(result).decode()
except Exception as e:
print(f"Warning: Failed to encrypt credentials: {e}")
return ""
def decrypt_credentials(encrypted_data: str, user_id: str) -> dict:
if not encrypted_data:
return {}
try:
data = base64.b64decode(encrypted_data.encode())
salt = data[:16]
iv = data[16:32]
encrypted_content = data[32:]
key = _derive_key(user_id, salt)
cipher = Cipher(algorithms.AES(key), modes.CBC(iv), backend=default_backend())
decryptor = cipher.decryptor()
decrypted_padded = decryptor.update(encrypted_content) + decryptor.finalize()
decrypted_data = _unpad_data(decrypted_padded)
return json.loads(decrypted_data.decode())
except Exception as e:
print(f"Warning: Failed to decrypt credentials: {e}")
return {}
def _pad_data(data: bytes) -> bytes:
block_size = 16
padding_len = block_size - (len(data) % block_size)
padding = bytes([padding_len]) * padding_len
return data + padding
def _unpad_data(data: bytes) -> bytes:
padding_len = data[-1]
return data[:-padding_len]

View File

@@ -26,7 +26,7 @@ class LocalStorage(BaseStorage):
return path
return os.path.join(self.base_dir, path)
def save_file(self, file_data: BinaryIO, path: str, **kwargs) -> dict:
def save_file(self, file_data: BinaryIO, path: str) -> dict:
"""Save a file to local storage."""
full_path = self._get_full_path(path)

View File

@@ -1,30 +1,84 @@
from io import BytesIO
import asyncio
import websockets
import json
import base64
from io import BytesIO
from application.tts.base import BaseTTS
from application.core.settings import settings
class ElevenlabsTTS(BaseTTS):
def __init__(self):
from elevenlabs.client import ElevenLabs
self.client = ElevenLabs(
api_key=settings.ELEVENLABS_API_KEY,
)
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):
lang = "en"
audio = self.client.generate(
text=text,
model="eleven_multilingual_v2",
voice="Brian",
)
audio_data = BytesIO()
for chunk in audio:
audio_data.write(chunk)
audio_bytes = audio_data.getvalue()
asyncio.run(self._text_to_speech_websocket(text))
# Encode to base64
audio_base64 = base64.b64encode(audio_bytes).decode("utf-8")
return audio_base64, lang
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()

View File

@@ -1,43 +1,20 @@
import logging
import os
from abc import ABC, abstractmethod
from langchain_openai import OpenAIEmbeddings
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):
logging.info(f"Initializing EmbeddingsWrapper with model: {model_name}")
try:
kwargs.setdefault("trust_remote_code", True)
self.model = SentenceTransformer(
model_name,
config_kwargs={"allow_dangerous_deserialization": True},
*args,
**kwargs,
)
if self.model is None or self.model._first_module() is None:
raise ValueError(
f"SentenceTransformer model failed to load properly for: {model_name}"
)
self.dimension = self.model.get_sentence_embedding_dimension()
logging.info(f"Successfully loaded model with dimension: {self.dimension}")
except Exception as e:
logging.error(
f"Failed to initialize SentenceTransformer with model {model_name}: {str(e)}",
exc_info=True,
)
raise
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)
@@ -47,14 +24,15 @@ class EmbeddingsWrapper:
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)
EmbeddingsSingleton._instances[embeddings_name] = EmbeddingsSingleton._create_instance(
embeddings_name, *args, **kwargs
)
return EmbeddingsSingleton._instances[embeddings_name]
@@ -62,15 +40,9 @@ class EmbeddingsSingleton:
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"
),
"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:
@@ -78,83 +50,41 @@ class EmbeddingsSingleton:
else:
return EmbeddingsWrapper(embeddings_name, *args, **kwargs)
class BaseVectorStore(ABC):
def __init__(self):
pass
@abstractmethod
def search(self, *args, **kwargs):
"""Search for similar documents/chunks in the vectorstore"""
pass
@abstractmethod
def add_texts(self, texts, metadatas=None, *args, **kwargs):
"""Add texts with their embeddings to the vectorstore"""
pass
def delete_index(self, *args, **kwargs):
"""Delete the entire index/collection"""
pass
def save_local(self, *args, **kwargs):
"""Save vectorstore to local storage"""
pass
def get_chunks(self, *args, **kwargs):
"""Get all chunks from the vectorstore"""
pass
def add_chunk(self, text, metadata=None, *args, **kwargs):
"""Add a single chunk to the vectorstore"""
pass
def delete_chunk(self, chunk_id, *args, **kwargs):
"""Delete a specific chunk from the vectorstore"""
pass
def is_azure_configured(self):
return (
settings.OPENAI_API_BASE
and settings.OPENAI_API_VERSION
and settings.AZURE_DEPLOYMENT_NAME
)
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
embeddings_name,
model=settings.AZURE_EMBEDDINGS_DEPLOYMENT_NAME
)
else:
embedding_instance = EmbeddingsSingleton.get_instance(
embeddings_name, openai_api_key=embeddings_key
embeddings_name,
openai_api_key=embeddings_key
)
elif embeddings_name == "huggingface_sentence-transformers/all-mpnet-base-v2":
possible_paths = [
"/app/models/all-mpnet-base-v2", # Docker absolute path
"./models/all-mpnet-base-v2", # Relative path
]
local_model_path = None
for path in possible_paths:
if os.path.exists(path):
local_model_path = path
logging.info(f"Found local model at path: {path}")
break
else:
logging.info(f"Path does not exist: {path}")
if local_model_path:
if os.path.exists("./models/all-mpnet-base-v2"):
embedding_instance = EmbeddingsSingleton.get_instance(
local_model_path,
embeddings_name = "./models/all-mpnet-base-v2",
)
else:
logging.warning(
f"Local model not found in any of the paths: {possible_paths}. Falling back to HuggingFace download."
)
embedding_instance = EmbeddingsSingleton.get_instance(
embeddings_name,
)
else:
embedding_instance = EmbeddingsSingleton.get_instance(embeddings_name)
return embedding_instance

View File

@@ -19,7 +19,6 @@ from bson.objectid import ObjectId
from application.agents.agent_creator import AgentCreator
from application.api.answer.services.stream_processor import get_prompt
from application.cache import get_redis_instance
from application.core.mongo_db import MongoDB
from application.core.settings import settings
from application.parser.chunking import Chunker
@@ -215,7 +214,8 @@ def run_agent_logic(agent_config, input_data):
def ingest_worker(
self, directory, formats, job_name, file_path, filename, user, retriever="classic"
self, directory, formats, job_name, file_path, filename, user,
retriever="classic"
):
"""
Ingest and process documents.
@@ -240,7 +240,7 @@ def ingest_worker(
sample = False
storage = StorageCreator.get_storage()
logging.info(f"Ingest path: {file_path}", extra={"user": user, "job": job_name})
# Create temporary working directory
@@ -253,32 +253,30 @@ def ingest_worker(
# Handle directory case
logging.info(f"Processing directory: {file_path}")
files_list = storage.list_files(file_path)
for storage_file_path in files_list:
if storage.is_directory(storage_file_path):
continue
# Create relative path structure in temp directory
rel_path = os.path.relpath(storage_file_path, file_path)
local_file_path = os.path.join(temp_dir, rel_path)
os.makedirs(os.path.dirname(local_file_path), exist_ok=True)
# Download file
try:
file_data = storage.get_file(storage_file_path)
with open(local_file_path, "wb") as f:
f.write(file_data.read())
except Exception as e:
logging.error(
f"Error downloading file {storage_file_path}: {e}"
)
logging.error(f"Error downloading file {storage_file_path}: {e}")
continue
else:
# Handle single file case
temp_filename = os.path.basename(file_path)
temp_file_path = os.path.join(temp_dir, temp_filename)
file_data = storage.get_file(file_path)
with open(temp_file_path, "wb") as f:
f.write(file_data.read())
@@ -287,10 +285,7 @@ def ingest_worker(
if temp_filename.endswith(".zip"):
logging.info(f"Extracting zip file: {temp_filename}")
extract_zip_recursive(
temp_file_path,
temp_dir,
current_depth=0,
max_depth=RECURSION_DEPTH,
temp_file_path, temp_dir, current_depth=0, max_depth=RECURSION_DEPTH
)
self.update_state(state="PROGRESS", meta={"current": 1})
@@ -305,8 +300,8 @@ def ingest_worker(
file_metadata=metadata_from_filename,
)
raw_docs = reader.load_data()
directory_structure = getattr(reader, "directory_structure", {})
directory_structure = getattr(reader, 'directory_structure', {})
logging.info(f"Directory structure from reader: {directory_structure}")
chunker = Chunker(
@@ -376,10 +371,7 @@ def reingest_source_worker(self, source_id, user):
try:
from application.vectorstore.vector_creator import VectorCreator
self.update_state(
state="PROGRESS",
meta={"current": 10, "status": "Initializing re-ingestion scan"},
)
self.update_state(state="PROGRESS", meta={"current": 10, "status": "Initializing re-ingestion scan"})
source = sources_collection.find_one({"_id": ObjectId(source_id), "user": user})
if not source:
@@ -388,9 +380,7 @@ def reingest_source_worker(self, source_id, user):
storage = StorageCreator.get_storage()
source_file_path = source.get("file_path", "")
self.update_state(
state="PROGRESS", meta={"current": 20, "status": "Scanning current files"}
)
self.update_state(state="PROGRESS", meta={"current": 20, "status": "Scanning current files"})
with tempfile.TemporaryDirectory() as temp_dir:
# Download all files from storage to temp directory, preserving directory structure
@@ -401,6 +391,7 @@ def reingest_source_worker(self, source_id, user):
if storage.is_directory(storage_file_path):
continue
rel_path = os.path.relpath(storage_file_path, source_file_path)
local_file_path = os.path.join(temp_dir, rel_path)
@@ -412,39 +403,23 @@ def reingest_source_worker(self, source_id, user):
with open(local_file_path, "wb") as f:
f.write(file_data.read())
except Exception as e:
logging.error(
f"Error downloading file {storage_file_path}: {e}"
)
logging.error(f"Error downloading file {storage_file_path}: {e}")
continue
reader = SimpleDirectoryReader(
input_dir=temp_dir,
recursive=True,
required_exts=[
".rst",
".md",
".pdf",
".txt",
".docx",
".csv",
".epub",
".html",
".mdx",
".json",
".xlsx",
".pptx",
".png",
".jpg",
".jpeg",
".rst", ".md", ".pdf", ".txt", ".docx", ".csv", ".epub",
".html", ".mdx", ".json", ".xlsx", ".pptx", ".png",
".jpg", ".jpeg",
],
exclude_hidden=True,
file_metadata=metadata_from_filename,
)
reader.load_data()
directory_structure = reader.directory_structure
logging.info(
f"Directory structure built with token counts: {directory_structure}"
)
logging.info(f"Directory structure built with token counts: {directory_structure}")
try:
old_directory_structure = source.get("directory_structure") or {}
@@ -458,17 +433,11 @@ def reingest_source_worker(self, source_id, user):
files = set()
if isinstance(struct, dict):
for name, meta in struct.items():
current_path = (
os.path.join(prefix, name) if prefix else name
)
if isinstance(meta, dict) and (
"type" in meta and "size_bytes" in meta
):
current_path = os.path.join(prefix, name) if prefix else name
if isinstance(meta, dict) and ("type" in meta and "size_bytes" in meta):
files.add(current_path)
elif isinstance(meta, dict):
files |= _flatten_directory_structure(
meta, current_path
)
files |= _flatten_directory_structure(meta, current_path)
return files
old_files = _flatten_directory_structure(old_directory_structure)
@@ -488,9 +457,7 @@ def reingest_source_worker(self, source_id, user):
logging.info("No files removed since last ingest.")
except Exception as e:
logging.error(
f"Error comparing directory structures: {e}", exc_info=True
)
logging.error(f"Error comparing directory structures: {e}", exc_info=True)
added_files = []
removed_files = []
try:
@@ -510,21 +477,14 @@ def reingest_source_worker(self, source_id, user):
settings.EMBEDDINGS_KEY,
)
self.update_state(
state="PROGRESS",
meta={"current": 40, "status": "Processing file changes"},
)
self.update_state(state="PROGRESS", meta={"current": 40, "status": "Processing file changes"})
# 1) Delete chunks from removed files
deleted = 0
if removed_files:
try:
for ch in vector_store.get_chunks() or []:
metadata = (
ch.get("metadata", {})
if isinstance(ch, dict)
else getattr(ch, "metadata", {})
)
metadata = ch.get("metadata", {}) if isinstance(ch, dict) else getattr(ch, "metadata", {})
raw_source = metadata.get("source")
source_file = str(raw_source) if raw_source else ""
@@ -536,17 +496,10 @@ def reingest_source_worker(self, source_id, user):
vector_store.delete_chunk(cid)
deleted += 1
except Exception as de:
logging.error(
f"Failed deleting chunk {cid}: {de}"
)
logging.info(
f"Deleted {deleted} chunks from {len(removed_files)} removed files"
)
logging.error(f"Failed deleting chunk {cid}: {de}")
logging.info(f"Deleted {deleted} chunks from {len(removed_files)} removed files")
except Exception as e:
logging.error(
f"Error during deletion of removed file chunks: {e}",
exc_info=True,
)
logging.error(f"Error during deletion of removed file chunks: {e}", exc_info=True)
# 2) Add chunks from new files
added = 0
@@ -575,86 +528,58 @@ def reingest_source_worker(self, source_id, user):
)
chunked_new = chunker_new.chunk(documents=raw_docs_new)
for (
file_path,
token_count,
) in reader_new.file_token_counts.items():
for file_path, token_count in reader_new.file_token_counts.items():
try:
rel_path = os.path.relpath(
file_path, start=temp_dir
)
rel_path = os.path.relpath(file_path, start=temp_dir)
path_parts = rel_path.split(os.sep)
current_dir = directory_structure
for part in path_parts[:-1]:
if part in current_dir and isinstance(
current_dir[part], dict
):
if part in current_dir and isinstance(current_dir[part], dict):
current_dir = current_dir[part]
else:
break
filename = path_parts[-1]
if filename in current_dir and isinstance(
current_dir[filename], dict
):
current_dir[filename][
"token_count"
] = token_count
logging.info(
f"Updated token count for {rel_path}: {token_count}"
)
if filename in current_dir and isinstance(current_dir[filename], dict):
current_dir[filename]["token_count"] = token_count
logging.info(f"Updated token count for {rel_path}: {token_count}")
except Exception as e:
logging.warning(
f"Could not update token count for {file_path}: {e}"
)
logging.warning(f"Could not update token count for {file_path}: {e}")
for d in chunked_new:
meta = dict(d.extra_info or {})
try:
raw_src = meta.get("source")
if isinstance(raw_src, str) and os.path.isabs(
raw_src
):
meta["source"] = os.path.relpath(
raw_src, start=temp_dir
)
if isinstance(raw_src, str) and os.path.isabs(raw_src):
meta["source"] = os.path.relpath(raw_src, start=temp_dir)
except Exception:
pass
vector_store.add_chunk(d.text, metadata=meta)
added += 1
logging.info(
f"Added {added} chunks from {len(added_files)} new files"
)
logging.info(f"Added {added} chunks from {len(added_files)} new files")
except Exception as e:
logging.error(
f"Error during ingestion of new files: {e}", exc_info=True
)
logging.error(f"Error during ingestion of new files: {e}", exc_info=True)
# 3) Update source directory structure timestamp
try:
total_tokens = sum(reader.file_token_counts.values())
sources_collection.update_one(
{"_id": ObjectId(source_id)},
{
"$set": {
"directory_structure": directory_structure,
"date": datetime.datetime.now(),
"tokens": total_tokens,
"tokens": total_tokens
}
},
)
except Exception as e:
logging.error(
f"Error updating directory_structure in DB: {e}", exc_info=True
)
logging.error(f"Error updating directory_structure in DB: {e}", exc_info=True)
self.update_state(
state="PROGRESS",
meta={"current": 100, "status": "Re-ingestion completed"},
)
self.update_state(state="PROGRESS", meta={"current": 100, "status": "Re-ingestion completed"})
return {
"source_id": source_id,
@@ -666,16 +591,15 @@ def reingest_source_worker(self, source_id, user):
"chunks_deleted": deleted,
}
except Exception as e:
logging.error(
f"Error while processing file changes: {e}", exc_info=True
)
logging.error(f"Error while processing file changes: {e}", exc_info=True)
raise
except Exception as e:
logging.error(f"Error in reingest_source_worker: {e}", exc_info=True)
raise
def remote_worker(
self,
source_data,
@@ -727,7 +651,7 @@ def remote_worker(
"id": str(id),
"type": loader,
"remote_data": source_data,
"sync_frequency": sync_frequency,
"sync_frequency": sync_frequency
}
if operation_mode == "sync":
@@ -788,7 +712,7 @@ def sync_worker(self, frequency):
self, source_data, name, user, source_type, frequency, retriever, doc_id
)
sync_counts["total_sync_count"] += 1
sync_counts[
sync_counts[
"sync_success" if resp["status"] == "success" else "sync_failure"
] += 1
return {
@@ -825,14 +749,15 @@ def attachment_worker(self, file_info, user):
input_files=[local_path], exclude_hidden=True, errors="ignore"
)
.load_data()[0]
.text,
.text,
)
token_count = num_tokens_from_string(content)
if token_count > 100000:
content = content[:250000]
token_count = num_tokens_from_string(content)
self.update_state(
state="PROGRESS", meta={"current": 80, "status": "Storing in database"}
)
@@ -947,49 +872,37 @@ def ingest_connector(
doc_id: Document ID for sync operations (required when operation_mode="sync")
sync_frequency: How often to sync ("never", "daily", "weekly", "monthly")
"""
logging.info(
f"Starting remote ingestion from {source_type} for user: {user}, job: {job_name}"
)
logging.info(f"Starting remote ingestion from {source_type} for user: {user}, job: {job_name}")
self.update_state(state="PROGRESS", meta={"current": 1})
with tempfile.TemporaryDirectory() as temp_dir:
try:
# Step 1: Initialize the appropriate loader
self.update_state(
state="PROGRESS",
meta={"current": 10, "status": "Initializing connector"},
)
self.update_state(state="PROGRESS", meta={"current": 10, "status": "Initializing connector"})
if not session_token:
raise ValueError(f"{source_type} connector requires session_token")
if not ConnectorCreator.is_supported(source_type):
raise ValueError(
f"Unsupported connector type: {source_type}. Supported types: {ConnectorCreator.get_supported_connectors()}"
)
raise ValueError(f"Unsupported connector type: {source_type}. Supported types: {ConnectorCreator.get_supported_connectors()}")
remote_loader = ConnectorCreator.create_connector(
source_type, session_token
)
remote_loader = ConnectorCreator.create_connector(source_type, session_token)
# Create a clean config for storage
api_source_config = {
"file_ids": file_ids or [],
"folder_ids": folder_ids or [],
"recursive": recursive,
"recursive": recursive
}
# Step 2: Download files to temp directory
self.update_state(
state="PROGRESS", meta={"current": 20, "status": "Downloading files"}
)
self.update_state(state="PROGRESS", meta={"current": 20, "status": "Downloading files"})
download_info = remote_loader.download_to_directory(
temp_dir, api_source_config
temp_dir,
api_source_config
)
if download_info.get("empty_result", False) or not download_info.get(
"files_downloaded", 0
):
if download_info.get("empty_result", False) or not download_info.get("files_downloaded", 0):
logging.warning(f"No files were downloaded from {source_type}")
# Create empty result directly instead of calling a separate method
return {
@@ -1000,42 +913,28 @@ def ingest_connector(
"source_config": api_source_config,
"directory_structure": "{}",
}
# Step 3: Use SimpleDirectoryReader to process downloaded files
self.update_state(
state="PROGRESS", meta={"current": 40, "status": "Processing files"}
)
self.update_state(state="PROGRESS", meta={"current": 40, "status": "Processing files"})
reader = SimpleDirectoryReader(
input_dir=temp_dir,
recursive=True,
required_exts=[
".rst",
".md",
".pdf",
".txt",
".docx",
".csv",
".epub",
".html",
".mdx",
".json",
".xlsx",
".pptx",
".png",
".jpg",
".jpeg",
".rst", ".md", ".pdf", ".txt", ".docx", ".csv", ".epub",
".html", ".mdx", ".json", ".xlsx", ".pptx", ".png",
".jpg", ".jpeg",
],
exclude_hidden=True,
file_metadata=metadata_from_filename,
)
raw_docs = reader.load_data()
directory_structure = getattr(reader, "directory_structure", {})
directory_structure = getattr(reader, 'directory_structure', {})
# Step 4: Process documents (chunking, embedding, etc.)
self.update_state(
state="PROGRESS", meta={"current": 60, "status": "Processing documents"}
)
self.update_state(state="PROGRESS", meta={"current": 60, "status": "Processing documents"})
chunker = Chunker(
chunking_strategy="classic_chunk",
max_tokens=MAX_TOKENS,
@@ -1043,26 +942,22 @@ def ingest_connector(
duplicate_headers=False,
)
raw_docs = chunker.chunk(documents=raw_docs)
# Preserve source information in document metadata
for doc in raw_docs:
if hasattr(doc, "extra_info") and doc.extra_info:
source = doc.extra_info.get("source")
if hasattr(doc, 'extra_info') and doc.extra_info:
source = doc.extra_info.get('source')
if source and os.path.isabs(source):
# Convert absolute path to relative path
doc.extra_info["source"] = os.path.relpath(
source, start=temp_dir
)
doc.extra_info['source'] = os.path.relpath(source, start=temp_dir)
docs = [Document.to_langchain_format(raw_doc) for raw_doc in raw_docs]
if operation_mode == "upload":
id = ObjectId()
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
)
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)
else:
@@ -1071,9 +966,7 @@ def ingest_connector(
vector_store_path = os.path.join(temp_dir, "vector_store")
os.makedirs(vector_store_path, exist_ok=True)
self.update_state(
state="PROGRESS", meta={"current": 80, "status": "Storing documents"}
)
self.update_state(state="PROGRESS", meta={"current": 80, "status": "Storing documents"})
embed_and_store_documents(docs, vector_store_path, id, self)
tokens = count_tokens_docs(docs)
@@ -1085,12 +978,13 @@ def ingest_connector(
"tokens": tokens,
"retriever": retriever,
"id": str(id),
"type": "connector:file",
"remote_data": json.dumps(
{"provider": source_type, **api_source_config}
),
"type": "connector",
"remote_data": json.dumps({
"provider": source_type,
**api_source_config
}),
"directory_structure": json.dumps(directory_structure),
"sync_frequency": sync_frequency,
"sync_frequency": sync_frequency
}
if operation_mode == "sync":
@@ -1101,9 +995,7 @@ def ingest_connector(
upload_index(vector_store_path, file_data)
# Ensure we mark the task as complete
self.update_state(
state="PROGRESS", meta={"current": 100, "status": "Complete"}
)
self.update_state(state="PROGRESS", meta={"current": 100, "status": "Complete"})
logging.info(f"Remote ingestion completed: {job_name}")
@@ -1113,136 +1005,9 @@ def ingest_connector(
"tokens": tokens,
"type": source_type,
"id": str(id),
"status": "complete",
"status": "complete"
}
except Exception as e:
logging.error(f"Error during remote ingestion: {e}", exc_info=True)
raise
def mcp_oauth(self, config: Dict[str, Any], user_id: str = None) -> Dict[str, Any]:
"""Worker to handle MCP OAuth flow asynchronously."""
logging.info(
"[MCP OAuth] Worker started for user_id=%s, config=%s", user_id, config
)
try:
import asyncio
from application.agents.tools.mcp_tool import MCPTool
task_id = self.request.id
logging.info("[MCP OAuth] Task ID: %s", task_id)
redis_client = get_redis_instance()
def update_status(status_data: Dict[str, Any]):
logging.info("[MCP OAuth] Updating status: %s", status_data)
status_key = f"mcp_oauth_status:{task_id}"
redis_client.setex(status_key, 600, json.dumps(status_data))
update_status(
{
"status": "in_progress",
"message": "Starting OAuth flow...",
"task_id": task_id,
}
)
tool_config = config.copy()
tool_config["oauth_task_id"] = task_id
logging.info("[MCP OAuth] Initializing MCPTool with config: %s", tool_config)
mcp_tool = MCPTool(tool_config, user_id)
async def run_oauth_discovery():
if not mcp_tool._client:
mcp_tool._setup_client()
return await mcp_tool._execute_with_client("list_tools")
update_status(
{
"status": "awaiting_redirect",
"message": "Waiting for OAuth redirect...",
"task_id": task_id,
}
)
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
logging.info("[MCP OAuth] Starting event loop for OAuth discovery...")
tools_response = loop.run_until_complete(run_oauth_discovery())
logging.info(
"[MCP OAuth] Tools response after async call: %s", tools_response
)
status_key = f"mcp_oauth_status:{task_id}"
redis_status = redis_client.get(status_key)
if redis_status:
logging.info(
"[MCP OAuth] Redis status after async call: %s", redis_status
)
else:
logging.warning(
"[MCP OAuth] No Redis status found after async call for key: %s",
status_key,
)
tools = mcp_tool.get_actions_metadata()
update_status(
{
"status": "completed",
"message": f"OAuth completed successfully. Found {len(tools)} tools.",
"tools": tools,
"tools_count": len(tools),
"task_id": task_id,
}
)
logging.info(
"[MCP OAuth] OAuth flow completed successfully for task_id=%s", task_id
)
return {"success": True, "tools": tools, "tools_count": len(tools)}
except Exception as e:
error_msg = f"OAuth flow failed: {str(e)}"
logging.error(
"[MCP OAuth] Exception in OAuth discovery: %s", error_msg, exc_info=True
)
update_status(
{
"status": "error",
"message": error_msg,
"error": str(e),
"task_id": task_id,
}
)
return {"success": False, "error": error_msg}
finally:
logging.info("[MCP OAuth] Closing event loop for task_id=%s", task_id)
loop.close()
except Exception as e:
error_msg = f"Failed to initialize OAuth flow: {str(e)}"
logging.error(
"[MCP OAuth] Exception during initialization: %s", error_msg, exc_info=True
)
update_status(
{
"status": "error",
"message": error_msg,
"error": str(e),
"task_id": task_id,
}
)
return {"success": False, "error": error_msg}
def mcp_oauth_status(self, task_id: str) -> Dict[str, Any]:
"""Check the status of an MCP OAuth flow."""
redis_client = get_redis_instance()
status_key = f"mcp_oauth_status:{task_id}"
status_data = redis_client.get(status_key)
if status_data:
return json.loads(status_data)
return {"status": "not_found", "message": "Status not found"}

View File

@@ -6,7 +6,6 @@ services:
environment:
- VITE_API_HOST=http://localhost:7091
- VITE_API_STREAMING=$VITE_API_STREAMING
- VITE_GOOGLE_CLIENT_ID=$VITE_GOOGLE_CLIENT_ID
ports:
- "5173:5173"
depends_on:

View File

@@ -7,7 +7,6 @@ services:
environment:
- VITE_API_HOST=http://localhost:7091
- VITE_API_STREAMING=$VITE_API_STREAMING
- VITE_GOOGLE_CLIENT_ID=$VITE_GOOGLE_CLIENT_ID
ports:
- "5173:5173"
depends_on:

View File

@@ -1,6 +0,0 @@
{
"google-drive-connector": {
"title": "🔗 Google Drive",
"href": "/Guides/Integrations/google-drive-connector"
}
}

View File

@@ -1,212 +0,0 @@
---
title: Google Drive Connector
description: Connect your Google Drive as an external knowledge base to upload and process files directly from your Google Drive account.
---
import { Callout } from 'nextra/components'
import { Steps } from 'nextra/components'
# Google Drive Connector
The Google Drive Connector allows you to seamlessly connect your Google Drive account as an external knowledge base. This integration enables you to upload and process files directly from your Google Drive without manually downloading and uploading them to DocsGPT.
## Features
- **Direct File Access**: Browse and select files directly from your Google Drive
- **Comprehensive File Support**: Supports all major document formats including:
- Google Workspace files (Docs, Sheets, Slides)
- Microsoft Office files (.docx, .xlsx, .pptx, .doc, .ppt, .xls)
- PDF documents
- Text files (.txt, .md, .rst, .html, .rtf)
- Data files (.csv, .json)
- Image files (.png, .jpg, .jpeg)
- E-books (.epub)
- **Secure Authentication**: Uses OAuth 2.0 for secure access to your Google Drive
- **Real-time Sync**: Process files directly from Google Drive without local downloads
<Callout type="info" emoji="">
The Google Drive Connector requires proper configuration of Google API credentials. Follow the setup instructions below to enable this feature.
</Callout>
## Prerequisites
Before setting up the Google Drive Connector, you'll need:
1. A Google Cloud Platform (GCP) project
2. Google Drive API enabled
3. OAuth 2.0 credentials configured
4. DocsGPT instance with proper environment variables
## Setup Instructions
<Steps>
### Step 1: Create a Google Cloud Project
1. Go to the [Google Cloud Console](https://console.cloud.google.com/)
2. Create a new project or select an existing one
3. Note down your Project ID for later use
### Step 2: Enable Google Drive API
1. In the Google Cloud Console, navigate to **APIs & Services** > **Library**
2. Search for "Google Drive API"
3. Click on "Google Drive API" and click **Enable**
### Step 3: Create OAuth 2.0 Credentials
1. Go to **APIs & Services** > **Credentials**
2. Click **Create Credentials** > **OAuth client ID**
3. If prompted, configure the OAuth consent screen:
- Choose **External** user type (unless you're using Google Workspace)
- Fill in the required fields (App name, User support email, Developer contact)
- Add your domain to **Authorized domains** if deploying publicly
4. For Application type, select **Web application**
5. Add your DocsGPT frontend URL to **Authorized JavaScript origins**:
- For local development: `http://localhost:3000`
- For production: `https://yourdomain.com`
6. Add your DocsGPT callback URL to **Authorized redirect URIs**:
- For local development: `http://localhost:7091/api/connectors/callback?provider=google_drive`
- For production: `https://yourdomain.com/api/connectors/callback?provider=google_drive`
7. Click **Create** and note down the **Client ID** and **Client Secret**
### Step 4: Configure Backend Environment Variables
Add the following environment variables to your backend configuration:
**For Docker deployment**, add to your `.env` file in the root directory:
```env
# Google Drive Connector Configuration
GOOGLE_CLIENT_ID=your_google_client_id_here
GOOGLE_CLIENT_SECRET=your_google_client_secret_here
```
**For manual deployment**, set these environment variables in your system or application configuration.
### Step 5: Configure Frontend Environment Variables
Add the following environment variables to your frontend `.env` file:
```env
# Google Drive Frontend Configuration
VITE_GOOGLE_CLIENT_ID=your_google_client_id_here
```
<Callout type="warning" emoji="⚠️">
Make sure to use the same Google Client ID in both backend and frontend configurations.
</Callout>
### Step 6: Restart Your Application
After configuring the environment variables:
1. **For Docker**: Restart your Docker containers
```bash
docker-compose down
docker-compose up -d
```
2. **For manual deployment**: Restart both backend and frontend services
</Steps>
## Using the Google Drive Connector
Once configured, you can use the Google Drive Connector to upload files:
<Steps>
### Step 1: Access the Upload Interface
1. Navigate to the DocsGPT interface
2. Go to the upload/training section
3. You should now see "Google Drive" as an available upload option
### Step 2: Connect Your Google Account
1. Select "Google Drive" as your upload method
2. Click "Connect to Google Drive"
3. You'll be redirected to Google's OAuth consent screen
4. Grant the necessary permissions to DocsGPT
5. You'll be redirected back to DocsGPT with a successful connection
### Step 3: Select Files
1. Once connected, click "Select Files"
2. The Google Drive picker will open
3. Browse your Google Drive and select the files you want to process
4. Click "Select" to confirm your choices
### Step 4: Process Files
1. Review your selected files
2. Click "Train" or "Upload" to process the files
3. DocsGPT will download and process the files from your Google Drive
4. Once processing is complete, the files will be available in your knowledge base
</Steps>
## Supported File Types
The Google Drive Connector supports the following file types:
| File Type | Extensions | Description |
|-----------|------------|-------------|
| **Google Workspace** | - | Google Docs, Sheets, Slides (automatically converted) |
| **Microsoft Office** | .docx, .xlsx, .pptx | Modern Office formats |
| **Legacy Office** | .doc, .ppt, .xls | Older Office formats |
| **PDF Documents** | .pdf | Portable Document Format |
| **Text Files** | .txt, .md, .rst, .html, .rtf | Various text formats |
| **Data Files** | .csv, .json | Structured data formats |
| **Images** | .png, .jpg, .jpeg | Image files (with OCR if enabled) |
| **E-books** | .epub | Electronic publication format |
## Troubleshooting
### Common Issues
**"Google Drive option not appearing"**
- Verify that `VITE_GOOGLE_CLIENT_ID` is set in frontend environment
- Check that `VITE_GOOGLE_CLIENT_ID` environment variable is present in your frontend configuration
- Check browser console for any JavaScript errors
- Ensure the frontend has been restarted after adding environment variables
**"Authentication failed"**
- Verify that your OAuth 2.0 credentials are correctly configured
- Check that the redirect URI `http://<your-domain>/api/connectors/callback?provider=google_drive` is correctly added in GCP console
- Ensure the Google Drive API is enabled in your GCP project
**"Permission denied" errors**
- Verify that the OAuth consent screen is properly configured
- Check that your Google account has access to the files you're trying to select
- Ensure the required scopes are granted during authentication
**"Files not processing"**
- Check that the backend environment variables are correctly set
- Verify that the OAuth credentials have the necessary permissions
- Check the backend logs for any error messages
### Environment Variable Checklist
**Backend (.env in root directory):**
- ✅ `GOOGLE_CLIENT_ID`
- ✅ `GOOGLE_CLIENT_SECRET`
**Frontend (.env in frontend directory):**
- ✅ `VITE_GOOGLE_CLIENT_ID`
### Security Considerations
- Keep your Google Client Secret secure and never expose it in frontend code
- Regularly rotate your OAuth credentials
- Use HTTPS in production to protect authentication tokens
- Ensure proper OAuth consent screen configuration for production use
<Callout type="tip" emoji="💡">
For production deployments, make sure to add your actual domain to the OAuth consent screen and authorized origins/redirect URIs.
</Callout>

View File

@@ -20,8 +20,5 @@
"Architecture": {
"title": "🏗️ Architecture",
"href": "/Guides/Architecture"
},
"Integrations": {
"title": "🔗 Integrations"
}
}

View File

@@ -12,7 +12,7 @@
"chart.js": "^4.4.4",
"clsx": "^2.1.1",
"copy-to-clipboard": "^3.3.3",
"i18next": "^25.5.3",
"i18next": "^24.2.0",
"i18next-browser-languagedetector": "^8.0.2",
"lodash": "^4.17.21",
"mermaid": "^11.6.0",
@@ -21,7 +21,6 @@
"react-chartjs-2": "^5.3.0",
"react-dom": "^19.0.0",
"react-dropzone": "^14.3.8",
"react-google-drive-picker": "^1.2.2",
"react-i18next": "^15.4.0",
"react-markdown": "^9.0.1",
"react-redux": "^9.2.0",
@@ -321,9 +320,9 @@
}
},
"node_modules/@babel/runtime": {
"version": "7.28.4",
"resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.28.4.tgz",
"integrity": "sha512-Q/N6JNWvIvPnLDvjlE1OUBLPQHH6l3CltCEsHIujp45zQUSSh8K+gHnaEX45yAT1nyngnINhvWtzN+Nb9D8RAQ==",
"version": "7.27.3",
"resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.27.3.tgz",
"integrity": "sha512-7EYtGezsdiDMyY80+65EzwiGmcJqpmcZCojSXaRgdrBaGtWTgDZKq69cPIVped6MkIM78cTQ2GOiEYjwOlG4xw==",
"license": "MIT",
"engines": {
"node": ">=6.9.0"
@@ -6217,9 +6216,9 @@
}
},
"node_modules/i18next": {
"version": "25.5.3",
"resolved": "https://registry.npmjs.org/i18next/-/i18next-25.5.3.tgz",
"integrity": "sha512-joFqorDeQ6YpIXni944upwnuHBf5IoPMuqAchGVeQLdWC2JOjxgM9V8UGLhNIIH/Q8QleRxIi0BSRQehSrDLcg==",
"version": "24.2.0",
"resolved": "https://registry.npmjs.org/i18next/-/i18next-24.2.0.tgz",
"integrity": "sha512-ArJJTS1lV6lgKH7yEf4EpgNZ7+THl7bsGxxougPYiXRTJ/Fe1j08/TBpV9QsXCIYVfdE/HWG/xLezJ5DOlfBOA==",
"funding": [
{
"type": "individual",
@@ -6234,9 +6233,8 @@
"url": "https://www.i18next.com/how-to/faq#i18next-is-awesome.-how-can-i-support-the-project"
}
],
"license": "MIT",
"dependencies": {
"@babel/runtime": "^7.27.6"
"@babel/runtime": "^7.23.2"
},
"peerDependencies": {
"typescript": "^5"
@@ -9384,16 +9382,6 @@
"react": ">= 16.8 || 18.0.0"
}
},
"node_modules/react-google-drive-picker": {
"version": "1.2.2",
"resolved": "https://registry.npmjs.org/react-google-drive-picker/-/react-google-drive-picker-1.2.2.tgz",
"integrity": "sha512-x30mYkt9MIwPCgL+fyK75HZ8E6G5L/WGW0bfMG6kbD4NG2kmdlmV9oH5lPa6P6d46y9hj5Y3btAMrZd4JRRkSA==",
"license": "MIT",
"peerDependencies": {
"react": ">=17.0.0",
"react-dom": ">=17.0.0"
}
},
"node_modules/react-i18next": {
"version": "15.4.0",
"resolved": "https://registry.npmjs.org/react-i18next/-/react-i18next-15.4.0.tgz",

View File

@@ -23,7 +23,7 @@
"chart.js": "^4.4.4",
"clsx": "^2.1.1",
"copy-to-clipboard": "^3.3.3",
"i18next": "^25.5.3",
"i18next": "^24.2.0",
"i18next-browser-languagedetector": "^8.0.2",
"lodash": "^4.17.21",
"mermaid": "^11.6.0",
@@ -32,7 +32,6 @@
"react-chartjs-2": "^5.3.0",
"react-dom": "^19.0.0",
"react-dropzone": "^14.3.8",
"react-google-drive-picker": "^1.2.2",
"react-i18next": "^15.4.0",
"react-markdown": "^9.0.1",
"react-redux": "^9.2.0",

View File

@@ -1,4 +0,0 @@
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="64" height="64" color="#000000" fill="none">
<path d="M3.49994 11.7501L11.6717 3.57855C12.7762 2.47398 14.5672 2.47398 15.6717 3.57855C16.7762 4.68312 16.7762 6.47398 15.6717 7.57855M15.6717 7.57855L9.49994 13.7501M15.6717 7.57855C16.7762 6.47398 18.5672 6.47398 19.6717 7.57855C20.7762 8.68312 20.7762 10.474 19.6717 11.5785L12.7072 18.543C12.3167 18.9335 12.3167 19.5667 12.7072 19.9572L13.9999 21.2499" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"></path>
<path d="M17.4999 9.74921L11.3282 15.921C10.2237 17.0255 8.43272 17.0255 7.32823 15.921C6.22373 14.8164 6.22373 13.0255 7.32823 11.921L13.4999 5.74939" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"></path>
</svg>

Before

Width:  |  Height:  |  Size: 831 B

View File

@@ -1,3 +0,0 @@
<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 -960 960 960" width="24px" fill="#e3e3e3">
<path d="M240-80q-33 0-56.5-23.5T160-160v-480q0-33 23.5-56.5T240-720h80v-80q0-17 11.5-28.5T360-840q17 0 28.5 11.5T400-800v80h40v-80q0-17 11.5-28.5T480-840q17 0 28.5 11.5T520-800v80h40v-80q0-17 11.5-28.5T600-840q17 0 28.5 11.5T640-800v80h80q33 0 56.5 23.5T800-640v480q0 33-23.5 56.5T720-80H240Zm0-80h480v-480H240v480Zm120-320v-80h240v80H360Zm0 120v-80h240v80H360Zm0 120v-80h160v80H360ZM240-160v-480 480Z"/>
</svg>

Before

Width:  |  Height:  |  Size: 523 B

View File

@@ -1 +0,0 @@
<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 -960 960 960" width="24px" fill="#e3e3e3"><path d="M320-240h320v-80H320v80Zm0-160h320v-80H320v80ZM240-80q-33 0-56.5-23.5T160-160v-640q0-33 23.5-56.5T240-880h320l240 240v480q0 33-23.5 56.5T720-80H240Zm280-520v-200H240v640h480v-440H520ZM240-800v200-200 640-640Z"/></svg>

Before

Width:  |  Height:  |  Size: 334 B

View File

@@ -7,7 +7,6 @@ import Agents from './agents';
import SharedAgentGate from './agents/SharedAgentGate';
import ActionButtons from './components/ActionButtons';
import Spinner from './components/Spinner';
import UploadToast from './components/UploadToast';
import Conversation from './conversation/Conversation';
import { SharedConversation } from './conversation/SharedConversation';
import { useDarkTheme, useMediaQuery } from './hooks';
@@ -34,19 +33,18 @@ function MainLayout() {
const [navOpen, setNavOpen] = useState(!(isMobile || isTablet));
return (
<div className="dark:bg-raisin-black relative h-screen overflow-hidden">
<div className="relative h-screen overflow-hidden dark:bg-raisin-black">
<Navigation navOpen={navOpen} setNavOpen={setNavOpen} />
<ActionButtons showNewChat={true} showShare={true} />
<div
className={`h-[calc(100dvh-64px)] overflow-auto transition-all duration-300 ease-in-out lg:h-screen ${
className={`h-[calc(100dvh-64px)] overflow-auto lg:h-screen ${
!(isMobile || isTablet)
? `${navOpen ? 'lg:ml-72' : 'lg:ml-0'}`
? `ml-0 ${!navOpen ? 'lg:mx-auto' : 'lg:ml-72'}`
: 'ml-0 lg:ml-16'
}`}
>
<Outlet />
</div>
<UploadToast />
</div>
);
}

View File

@@ -29,7 +29,7 @@ export default function Hero({
</div>
{/* Demo Buttons Section */}
<div className="mb-3 w-full max-w-full md:mb-3">
<div className="mb-8 w-full max-w-full md:mb-16">
<div className="grid grid-cols-1 gap-3 text-xs md:grid-cols-1 md:gap-4 lg:grid-cols-2">
{demos?.map(
(demo: { header: string; query: string }, key: number) =>

View File

@@ -10,11 +10,11 @@ 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/git_nav.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 AgentImage from './components/AgentImage';
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';
@@ -292,26 +292,20 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
useDefaultDocument();
return (
<>
{(isMobile || isTablet) && navOpen && (
<div
className="fixed inset-0 z-10 bg-black opacity-50 transition-opacity duration-300"
onClick={() => setNavOpen(false)}
/>
)}
{
<div className="absolute top-3 left-3 z-20 hidden transition-all duration-300 ease-in-out lg:block">
{!navOpen && (
<div className="absolute top-3 left-3 z-20 hidden transition-all duration-25 lg:block">
<div className="flex items-center gap-3">
<button
onClick={() => {
setNavOpen(!navOpen);
}}
className="transition-transform duration-200 hover:scale-110"
>
<img
src={Expand}
alt="Toggle navigation menu"
className="m-auto transition-all duration-300 ease-in-out"
className={`${
!navOpen ? 'rotate-180' : 'rotate-0'
} m-auto transition-all duration-200`}
/>
</button>
{queries?.length > 0 && (
@@ -319,7 +313,6 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
onClick={() => {
newChat();
}}
className="transition-transform duration-200 hover:scale-110"
>
<img
src={openNewChat}
@@ -333,12 +326,12 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
</div>
</div>
</div>
}
)}
<div
ref={navRef}
className={`${
!navOpen && '-ml-96 md:-ml-72'
} bg-lotion dark:border-r-purple-taupe dark:bg-chinese-black fixed top-0 z-20 flex h-full w-72 flex-col border-r border-b-0 transition-all duration-300 ease-in-out dark:text-white`}
} bg-lotion dark:border-r-purple-taupe dark:bg-chinese-black fixed top-0 z-20 flex h-full w-72 flex-col border-r border-b-0 transition-all duration-20 dark:text-white`}
>
<div
className={'visible mt-2 flex h-[6vh] w-full justify-between md:h-12'}
@@ -352,7 +345,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
}}
>
<a href="/" className="flex gap-1.5">
<img className="h-10" src={DocsGPT3} alt="DocsGPT Logo" />
<img className="mb-2 h-10" src={DocsGPT3} alt="DocsGPT Logo" />
<p className="my-auto text-2xl font-semibold">DocsGPT</p>
</a>
</div>
@@ -365,7 +358,9 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
<img
src={Expand}
alt="Toggle navigation menu"
className="m-auto transition-all duration-300 ease-in-out hover:scale-110"
className={`${
!navOpen ? 'rotate-180' : 'rotate-0'
} m-auto transition-all duration-200`}
/>
</button>
</div>
@@ -424,8 +419,12 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
>
<div className="flex items-center gap-2">
<div className="flex w-6 justify-center">
<AgentImage
src={agent.image}
<img
src={
agent.image && agent.image.trim() !== ''
? agent.image
: Robot
}
alt="agent-logo"
className="h-6 w-6 rounded-full object-contain"
/>
@@ -569,25 +568,21 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
>
<img
src={Discord}
width={24}
height={24}
alt="Join Discord community"
className="m-2 w-6 self-center filter dark:invert"
/>
</NavLink>
<NavLink
target="_blank"
to={'https://x.com/docsgptai'}
to={'https://twitter.com/docsgptai'}
className={
'rounded-full hover:bg-gray-100 dark:hover:bg-[#28292E]'
}
>
<img
src={Twitter}
width={20}
height={20}
alt="Follow us on X"
className="m-2 self-center filter dark:invert"
alt="Follow us on Twitter"
className="m-2 w-5 self-center filter dark:invert"
/>
</NavLink>
<NavLink
@@ -600,9 +595,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
<img
src={Github}
alt="View on GitHub"
width={28}
height={28}
className="m-2 self-center filter dark:invert"
className="m-2 w-6 self-center filter dark:invert"
/>
</NavLink>
</div>

View File

@@ -2,11 +2,11 @@ import { Link } from 'react-router-dom';
export default function PageNotFound() {
return (
<div className="dark:bg-raisin-black grid min-h-screen">
<p className="text-jet dark:bg-outer-space mx-auto my-auto mt-20 flex w-full max-w-6xl flex-col place-items-center gap-6 rounded-3xl bg-gray-100 p-6 lg:p-10 xl:p-16 dark:text-gray-100">
<div className="grid min-h-screen dark:bg-raisin-black">
<p className="mx-auto my-auto mt-20 flex w-full max-w-6xl flex-col place-items-center gap-6 rounded-3xl bg-gray-100 p-6 text-jet dark:bg-outer-space dark:text-gray-100 lg:p-10 xl:p-16">
<h1>404</h1>
<p>The page you are looking for does not exist.</p>
<button className="pointer-cursor bg-blue-1000 hover:bg-blue-3000 mr-4 flex cursor-pointer items-center justify-center rounded-full px-4 py-2 text-white transition-colors duration-100">
<button className="pointer-cursor mr-4 flex cursor-pointer items-center justify-center rounded-full bg-blue-1000 px-4 py-2 text-white transition-colors duration-100 hover:bg-blue-3000">
<Link to="/">Go Back Home</Link>
</button>
</p>

View File

@@ -3,7 +3,7 @@ import { useDispatch, useSelector } from 'react-redux';
import { useNavigate } from 'react-router-dom';
import userService from '../api/services/userService';
import AgentImage from '../components/AgentImage';
import Robot from '../assets/robot.svg';
import ThreeDots from '../assets/three-dots.svg';
import ContextMenu, { MenuOption } from '../components/ContextMenu';
import ConfirmationModal from '../modals/ConfirmationModal';
@@ -82,8 +82,8 @@ export default function AgentCard({
<div className="w-full">
<div className="flex w-full items-center gap-1 px-1">
<AgentImage
src={agent.image}
<img
src={agent.image && agent.image.trim() !== '' ? agent.image : Robot}
alt={`${agent.name}`}
className="h-7 w-7 rounded-full object-contain"
/>

View File

@@ -49,7 +49,7 @@ export default function AgentLogs() {
</p>
</div>
<div className="mt-5 flex w-full flex-wrap items-center justify-between gap-2 px-4">
<h1 className="text-eerie-black m-0 text-[32px] font-bold md:text-[40px] dark:text-white">
<h1 className="text-eerie-black m-0 text-[40px] font-bold dark:text-white">
Agent Logs
</h1>
</div>

View File

@@ -45,12 +45,11 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
description: '',
image: '',
source: '',
sources: [],
chunks: '2',
retriever: 'classic',
chunks: '',
retriever: '',
prompt_id: 'default',
tools: [],
agent_type: 'classic',
agent_type: '',
status: '',
json_schema: undefined,
});
@@ -122,8 +121,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
agent.name && agent.description && agent.prompt_id && agent.agent_type;
const isJsonSchemaValidOrEmpty =
jsonSchemaText.trim() === '' || jsonSchemaValid;
const hasSource = selectedSourceIds.size > 0;
return hasRequiredFields && isJsonSchemaValidOrEmpty && hasSource;
return hasRequiredFields && isJsonSchemaValidOrEmpty;
};
const isJsonSchemaInvalid = () => {
@@ -152,41 +150,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
const formData = new FormData();
formData.append('name', agent.name);
formData.append('description', agent.description);
if (selectedSourceIds.size > 1) {
const sourcesArray = Array.from(selectedSourceIds)
.map((id) => {
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === id || source.retriever === id || source.name === id,
);
if (sourceDoc?.name === 'Default' && !sourceDoc?.id) {
return 'default';
}
return sourceDoc?.id || id;
})
.filter(Boolean);
formData.append('sources', JSON.stringify(sourcesArray));
formData.append('source', '');
} else if (selectedSourceIds.size === 1) {
const singleSourceId = Array.from(selectedSourceIds)[0];
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === singleSourceId ||
source.retriever === singleSourceId ||
source.name === singleSourceId,
);
let finalSourceId;
if (sourceDoc?.name === 'Default' && !sourceDoc?.id)
finalSourceId = 'default';
else finalSourceId = sourceDoc?.id || singleSourceId;
formData.append('source', String(finalSourceId));
formData.append('sources', JSON.stringify([]));
} else {
formData.append('source', '');
formData.append('sources', JSON.stringify([]));
}
formData.append('source', agent.source);
formData.append('chunks', agent.chunks);
formData.append('retriever', agent.retriever);
formData.append('prompt_id', agent.prompt_id);
@@ -232,41 +196,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
const formData = new FormData();
formData.append('name', agent.name);
formData.append('description', agent.description);
if (selectedSourceIds.size > 1) {
const sourcesArray = Array.from(selectedSourceIds)
.map((id) => {
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === id || source.retriever === id || source.name === id,
);
if (sourceDoc?.name === 'Default' && !sourceDoc?.id) {
return 'default';
}
return sourceDoc?.id || id;
})
.filter(Boolean);
formData.append('sources', JSON.stringify(sourcesArray));
formData.append('source', '');
} else if (selectedSourceIds.size === 1) {
const singleSourceId = Array.from(selectedSourceIds)[0];
const sourceDoc = sourceDocs?.find(
(source) =>
source.id === singleSourceId ||
source.retriever === singleSourceId ||
source.name === singleSourceId,
);
let finalSourceId;
if (sourceDoc?.name === 'Default' && !sourceDoc?.id)
finalSourceId = 'default';
else finalSourceId = sourceDoc?.id || singleSourceId;
formData.append('source', String(finalSourceId));
formData.append('sources', JSON.stringify([]));
} else {
formData.append('source', '');
formData.append('sources', JSON.stringify([]));
}
formData.append('source', agent.source);
formData.append('chunks', agent.chunks);
formData.append('retriever', agent.retriever);
formData.append('prompt_id', agent.prompt_id);
@@ -354,26 +284,6 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
getPrompts();
}, [token]);
// Auto-select default source if none selected
useEffect(() => {
if (sourceDocs && sourceDocs.length > 0 && selectedSourceIds.size === 0) {
const defaultSource = sourceDocs.find((s) => s.name === 'Default');
if (defaultSource) {
setSelectedSourceIds(
new Set([
defaultSource.id || defaultSource.retriever || defaultSource.name,
]),
);
} else {
setSelectedSourceIds(
new Set([
sourceDocs[0].id || sourceDocs[0].retriever || sourceDocs[0].name,
]),
);
}
}
}, [sourceDocs, selectedSourceIds.size]);
useEffect(() => {
if ((mode === 'edit' || mode === 'draft') && agentId) {
const getAgent = async () => {
@@ -383,33 +293,9 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
throw new Error('Failed to fetch agent');
}
const data = await response.json();
if (data.sources && data.sources.length > 0) {
const mappedSources = data.sources.map((sourceId: string) => {
if (sourceId === 'default') {
const defaultSource = sourceDocs?.find(
(source) => source.name === 'Default',
);
return defaultSource?.retriever || 'classic';
}
return sourceId;
});
setSelectedSourceIds(new Set(mappedSources));
} else if (data.source) {
if (data.source === 'default') {
const defaultSource = sourceDocs?.find(
(source) => source.name === 'Default',
);
setSelectedSourceIds(
new Set([defaultSource?.retriever || 'classic']),
);
} else {
setSelectedSourceIds(new Set([data.source]));
}
} else if (data.retriever) {
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');
if (data.json_schema) {
@@ -425,57 +311,25 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
}, [agentId, mode, token]);
useEffect(() => {
const selectedSources = Array.from(selectedSourceIds)
.map((id) =>
sourceDocs?.find(
(source) =>
source.id === id || source.retriever === id || source.name === id,
),
)
.filter(Boolean);
if (selectedSources.length > 0) {
// Handle multiple sources
if (selectedSources.length > 1) {
// Multiple sources selected - store in sources array
const sourceIds = selectedSources
.map((source) => source?.id)
.filter((id): id is string => Boolean(id));
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,
sources: sourceIds,
source: '', // Clear single source for multiple sources
source: selectedSource[0]?.id || 'default',
retriever: '',
}));
} else {
// Single source selected - maintain backward compatibility
const selectedSource = selectedSources[0];
if (selectedSource?.model === embeddingsName) {
if (selectedSource && 'id' in selectedSource) {
setAgent((prev) => ({
...prev,
source: selectedSource?.id || 'default',
sources: [], // Clear sources array for single source
retriever: '',
}));
} else {
setAgent((prev) => ({
...prev,
source: '',
sources: [], // Clear sources array
retriever: selectedSource?.retriever || 'classic',
}));
}
}
}
} else {
// No sources selected
setAgent((prev) => ({
...prev,
source: '',
sources: [],
retriever: '',
}));
} else
setAgent((prev) => ({
...prev,
source: '',
retriever: selectedSource[0]?.retriever || 'classic',
}));
}
}, [selectedSourceIds]);
@@ -527,7 +381,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
</p>
</div>
<div className="mt-5 flex w-full flex-wrap items-center justify-between gap-2 px-4">
<h1 className="text-eerie-black m-0 text-[32px] font-bold lg:text-[40px] dark:text-white">
<h1 className="text-eerie-black m-0 text-[40px] font-bold dark:text-white">
{modeConfig[effectiveMode].heading}
</h1>
<div className="flex flex-wrap items-center gap-1">
@@ -607,7 +461,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
onChange={(e) => setAgent({ ...agent, name: e.target.value })}
/>
<textarea
className="border-silver text-jet dark:bg-raisin-black dark:text-bright-gray dark:placeholder:text-silver mt-3 h-32 w-full rounded-xl border bg-white px-5 py-4 text-sm outline-hidden placeholder:text-gray-400 dark:border-[#7E7E7E]"
className="border-silver text-jet dark:bg-raisin-black dark:text-bright-gray dark:placeholder:text-silver mt-3 h-32 w-full rounded-3xl border bg-white px-5 py-4 text-sm outline-hidden placeholder:text-gray-400 dark:border-[#7E7E7E]"
placeholder="Describe your agent"
value={agent.description}
onChange={(e) =>
@@ -656,7 +510,7 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
)
.filter(Boolean)
.join(', ')
: 'Select sources'}
: 'Select source'}
</button>
<MultiSelectPopup
isOpen={isSourcePopupOpen}
@@ -671,38 +525,13 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
}
selectedIds={selectedSourceIds}
onSelectionChange={(newSelectedIds: Set<string | number>) => {
if (
newSelectedIds.size === 0 &&
sourceDocs &&
sourceDocs.length > 0
) {
const defaultSource = sourceDocs.find(
(s) => s.name === 'Default',
);
if (defaultSource) {
setSelectedSourceIds(
new Set([
defaultSource.id ||
defaultSource.retriever ||
defaultSource.name,
]),
);
} else {
setSelectedSourceIds(
new Set([
sourceDocs[0].id ||
sourceDocs[0].retriever ||
sourceDocs[0].name,
]),
);
}
} else {
setSelectedSourceIds(newSelectedIds);
}
setSelectedSourceIds(newSelectedIds);
setIsSourcePopupOpen(false);
}}
title="Select Sources"
title="Select Source"
searchPlaceholder="Search sources..."
noOptionsMessage="No sources available"
noOptionsMessage="No source available"
singleSelect={true}
/>
</div>
<div className="mt-3">

View File

@@ -6,7 +6,7 @@ import { useParams } from 'react-router-dom';
import userService from '../api/services/userService';
import NoFilesDarkIcon from '../assets/no-files-dark.svg';
import NoFilesIcon from '../assets/no-files.svg';
import AgentImage from '../components/AgentImage';
import Robot from '../assets/robot.svg';
import MessageInput from '../components/MessageInput';
import Spinner from '../components/Spinner';
import ConversationMessages from '../conversation/ConversationMessages';
@@ -152,8 +152,12 @@ export default function SharedAgent() {
return (
<div className="relative h-full w-full">
<div className="absolute top-5 left-4 hidden items-center gap-3 sm:flex">
<AgentImage
src={sharedAgent.image}
<img
src={
sharedAgent.image && sharedAgent.image.trim() !== ''
? sharedAgent.image
: Robot
}
alt="agent-logo"
className="h-6 w-6 rounded-full object-contain"
/>

View File

@@ -1,4 +1,4 @@
import AgentImage from '../components/AgentImage';
import Robot from '../assets/robot.svg';
import { Agent } from './types';
export default function SharedAgentCard({ agent }: { agent: Agent }) {
@@ -6,8 +6,8 @@ export default function SharedAgentCard({ agent }: { agent: Agent }) {
<div className="border-dark-gray dark:border-grey flex w-full max-w-[720px] flex-col rounded-3xl border p-6 shadow-xs sm:w-fit sm:min-w-[480px]">
<div className="flex items-center gap-3">
<div className="flex h-12 w-12 items-center justify-center overflow-hidden rounded-full p-1">
<AgentImage
src={agent.image}
<img
src={agent.image && agent.image.trim() !== '' ? agent.image : Robot}
className="h-full w-full rounded-full object-contain"
/>
</div>

View File

@@ -8,7 +8,7 @@ import Link from '../assets/link-gray.svg';
import Monitoring from '../assets/monitoring.svg';
import Pin from '../assets/pin.svg';
import Trash from '../assets/red-trash.svg';
import AgentImage from '../components/AgentImage';
import Robot from '../assets/robot.svg';
import ThreeDots from '../assets/three-dots.svg';
import UnPin from '../assets/unpin.svg';
import ContextMenu, { MenuOption } from '../components/ContextMenu';
@@ -111,7 +111,7 @@ function AgentsList() {
}, [token]);
return (
<div className="p-4 md:p-12">
<h1 className="text-eerie-black mb-0 text-[32px] font-bold lg:text-[40px] dark:text-[#E0E0E0]">
<h1 className="text-eerie-black mb-0 text-[40px] font-bold dark:text-[#E0E0E0]">
Agents
</h1>
<p className="dark:text-gray-4000 mt-5 text-[15px] text-[#71717A]">
@@ -138,7 +138,11 @@ function AgentsList() {
</button>
<div className="w-full">
<div className="flex w-full items-center px-1">
<AgentImage className="h-7 w-7 rounded-full" />
<img
src={Robot}
alt="agent-logo"
className="h-7 w-7 rounded-full"
/>
</div>
<div className="mt-2">
<p
@@ -432,8 +436,8 @@ function AgentCard({
</div>
<div className="w-full">
<div className="flex w-full items-center gap-1 px-1">
<AgentImage
src={agent.image}
<img
src={agent.image && agent.image.trim() !== '' ? agent.image : Robot}
alt={`${agent.name}`}
className="h-7 w-7 rounded-full object-contain"
/>

View File

@@ -10,7 +10,6 @@ export type Agent = {
description: string;
image: string;
source: string;
sources?: string[];
chunks: string;
retriever: string;
prompt_id: string;

View File

@@ -57,10 +57,6 @@ const endpoints = {
DIRECTORY_STRUCTURE: (docId: string) =>
`/api/directory_structure?id=${docId}`,
MANAGE_SOURCE_FILES: '/api/manage_source_files',
MCP_TEST_CONNECTION: '/api/mcp_server/test',
MCP_SAVE_SERVER: '/api/mcp_server/save',
MCP_OAUTH_STATUS: (task_id: string) =>
`/api/mcp_server/oauth_status/${task_id}`,
},
CONVERSATION: {
ANSWER: '/api/answer',

View File

@@ -1,6 +1,6 @@
import { getSessionToken } from '../../utils/providerUtils';
import apiClient from '../client';
import endpoints from '../endpoints';
import { getSessionToken } from '../../utils/providerUtils';
const userService = {
getConfig: (): Promise<any> => apiClient.get(endpoints.USER.CONFIG, null),
@@ -90,10 +90,7 @@ const userService = {
path?: string,
search?: string,
): Promise<any> =>
apiClient.get(
endpoints.USER.GET_CHUNKS(docId, page, perPage, path, search),
token,
),
apiClient.get(endpoints.USER.GET_CHUNKS(docId, page, perPage, path, search), token),
addChunk: (data: any, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.ADD_CHUNK, data, token),
deleteChunk: (
@@ -108,26 +105,16 @@ const userService = {
apiClient.get(endpoints.USER.DIRECTORY_STRUCTURE(docId), token),
manageSourceFiles: (data: FormData, token: string | null): Promise<any> =>
apiClient.postFormData(endpoints.USER.MANAGE_SOURCE_FILES, data, token),
testMCPConnection: (data: any, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.MCP_TEST_CONNECTION, data, token),
saveMCPServer: (data: any, token: string | null): Promise<any> =>
apiClient.post(endpoints.USER.MCP_SAVE_SERVER, data, token),
getMCPOAuthStatus: (task_id: string, token: string | null): Promise<any> =>
apiClient.get(endpoints.USER.MCP_OAUTH_STATUS(task_id), token),
syncConnector: (
docId: string,
provider: string,
token: string | null,
): Promise<any> => {
syncConnector: (docId: string, provider: string, token: string | null): Promise<any> => {
const sessionToken = getSessionToken(provider);
return apiClient.post(
endpoints.USER.SYNC_CONNECTOR,
{
source_id: docId,
session_token: sessionToken,
provider: provider,
provider: provider
},
token,
token
);
},
};

View File

@@ -1,3 +0,0 @@
<svg width="24" height="25" viewBox="0 0 24 25" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M12 2.5C17.523 2.5 22 6.977 22 12.5C22 18.023 17.523 22.5 12 22.5C6.477 22.5 2 18.023 2 12.5C2 6.977 6.477 2.5 12 2.5ZM15.22 9.47L10.75 13.94L8.78 11.97C8.63783 11.8375 8.44978 11.7654 8.25548 11.7688C8.06118 11.7723 7.87579 11.851 7.73838 11.9884C7.60097 12.1258 7.52225 12.3112 7.51883 12.5055C7.5154 12.6998 7.58752 12.8878 7.72 13.03L10.22 15.53C10.3606 15.6705 10.5512 15.7493 10.75 15.7493C10.9488 15.7493 11.1394 15.6705 11.28 15.53L16.28 10.53C16.3537 10.4613 16.4128 10.3785 16.4538 10.2865C16.4948 10.1945 16.5168 10.0952 16.5186 9.99452C16.5204 9.89382 16.5018 9.79379 16.4641 9.7004C16.4264 9.60701 16.3703 9.52218 16.299 9.45096C16.2278 9.37974 16.143 9.3236 16.0496 9.28588C15.9562 9.24816 15.8562 9.22963 15.7555 9.23141C15.6548 9.23318 15.5555 9.25523 15.4635 9.29622C15.3715 9.33721 15.2887 9.39631 15.22 9.47Z" fill="#0C9D35"/>
</svg>

Before

Width:  |  Height:  |  Size: 958 B

View File

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<path d="M16.304 8.62401L19.486 11.806C20.0023 12.3155 20.4128 12.922 20.6937 13.5908C20.9747 14.2596 21.1206 14.9773 21.123 15.7026C21.1254 16.428 20.9843 17.1467 20.7079 17.8173C20.4314 18.4879 20.025 19.0972 19.5121 19.6102C18.9992 20.1231 18.3899 20.5295 17.7193 20.8059C17.0486 21.0824 16.33 21.2235 15.6046 21.221C14.8792 21.2186 14.1615 21.0727 13.4928 20.7918C12.824 20.5108 12.2174 20.1003 11.708 19.584L10.648 18.524C10.5046 18.3857 10.3903 18.2202 10.3116 18.0373C10.2329 17.8543 10.1914 17.6575 10.1896 17.4583C10.1878 17.2592 10.2256 17.0616 10.301 16.8772C10.3763 16.6929 10.4876 16.5253 10.6284 16.3844C10.7691 16.2435 10.9366 16.1321 11.1209 16.0566C11.3052 15.9811 11.5027 15.943 11.7019 15.9446C11.901 15.9463 12.0979 15.9876 12.2809 16.0661C12.464 16.1446 12.6295 16.2588 12.768 16.402L13.83 17.463C14.2996 17.9284 14.9344 18.1888 15.5955 18.1873C16.2567 18.1857 16.8903 17.9224 17.3577 17.4548C17.8252 16.9872 18.0884 16.3535 18.0897 15.6924C18.0911 15.0312 17.8305 14.3965 17.365 13.927L14.183 10.745C13.839 10.4009 13.4022 10.1647 12.926 10.0652C12.4498 9.96574 11.9549 10.0074 11.502 10.185C11.3406 10.249 11.1893 10.3143 11.048 10.381L10.584 10.598C9.96396 10.878 9.48696 10.998 8.87996 10.392C8.00796 9.52001 8.23396 8.71501 9.29696 7.98201C10.3559 7.25337 11.6365 6.91862 12.9166 7.0359C14.1966 7.15318 15.3951 7.71508 16.304 8.62401ZM10.294 2.61401L11.354 3.67401C11.6273 3.95678 11.7787 4.33562 11.7755 4.72891C11.7722 5.12221 11.6147 5.49851 11.3367 5.77675C11.0587 6.055 10.6826 6.21293 10.2893 6.21653C9.89597 6.22013 9.517 6.06912 9.23396 5.79601L8.17296 4.73601C7.94241 4.49717 7.66661 4.30664 7.36163 4.17553C7.05666 4.04442 6.72863 3.97536 6.39668 3.97239C6.06474 3.96941 5.73552 4.03257 5.42824 4.15818C5.12097 4.2838 4.84179 4.46935 4.60699 4.70402C4.37219 4.93868 4.18648 5.21776 4.06069 5.52496C3.9349 5.83217 3.87155 6.16135 3.87434 6.4933C3.87713 6.82525 3.94601 7.15332 4.07694 7.45836C4.20788 7.76341 4.39825 8.03933 4.63696 8.27001L7.81896 11.452C8.16289 11.7961 8.59974 12.0323 9.07595 12.1318C9.55217 12.2313 10.0471 12.1896 10.5 12.012C10.6613 11.948 10.8126 11.8827 10.954 11.816L11.418 11.599C12.038 11.319 12.516 11.199 13.122 11.805C13.994 12.677 13.768 13.482 12.705 14.215C11.6461 14.9437 10.3654 15.2784 9.08537 15.1611C7.80535 15.0438 6.60683 14.4819 5.69796 13.573L2.51596 10.391C1.99962 9.88154 1.58916 9.27497 1.30821 8.60622C1.02726 7.93747 0.881367 7.21975 0.878937 6.49438C0.876507 5.76901 1.01759 5.05033 1.29405 4.37971C1.57052 3.70909 1.9769 3.09978 2.48982 2.58686C3.00273 2.07395 3.61204 1.66756 4.28266 1.3911C4.95328 1.11463 5.67196 0.973553 6.39733 0.975983C7.1227 0.978413 7.84042 1.1243 8.50917 1.40526C9.17793 1.68621 9.7845 2.09767 10.294 2.61401Z" fill="black"/>
</svg>

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View File

@@ -1,3 +0,0 @@
<svg width="20" height="21" viewBox="0 0 20 21" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M15 1.83989C16.5202 2.71758 17.7826 3.97997 18.6603 5.50017C19.538 7.02038 20 8.74483 20 10.5002C20 12.2556 19.5379 13.98 18.6602 15.5002C17.7825 17.0204 16.5201 18.2828 14.9999 19.1605C13.4797 20.0381 11.7552 20.5002 9.99984 20.5001C8.24446 20.5001 6.52002 20.038 4.99984 19.1603C3.47965 18.2826 2.21729 17.0202 1.33963 15.5C0.46198 13.9797 -4.45897e-05 12.2553 3.22765e-09 10.4999L0.00500012 10.1759C0.0610032 8.44888 0.563548 6.76585 1.46364 5.29089C2.36373 3.81592 3.63065 2.59934 5.14089 1.75977C6.65113 0.920205 8.35315 0.486289 10.081 0.50033C11.8089 0.514371 13.5036 0.97589 15 1.83989ZM10 13.4999C9.73478 13.4999 9.48043 13.6052 9.29289 13.7928C9.10536 13.9803 9 14.2347 9 14.4999V14.5099C9 14.7751 9.10536 15.0295 9.29289 15.217C9.48043 15.4045 9.73478 15.5099 10 15.5099C10.2652 15.5099 10.5196 15.4045 10.7071 15.217C10.8946 15.0295 11 14.7751 11 14.5099V14.4999C11 14.2347 10.8946 13.9803 10.7071 13.7928C10.5196 13.6052 10.2652 13.4999 10 13.4999ZM10 6.49989C9.73478 6.49989 9.48043 6.60525 9.29289 6.79279C9.10536 6.98032 9 7.23468 9 7.49989V11.4999C9 11.7651 9.10536 12.0195 9.29289 12.207C9.48043 12.3945 9.73478 12.4999 10 12.4999C10.2652 12.4999 10.5196 12.3945 10.7071 12.207C10.8946 12.0195 11 11.7651 11 11.4999V7.49989C11 7.23468 10.8946 6.98032 10.7071 6.79279C10.5196 6.60525 10.2652 6.49989 10 6.49989Z" fill="#EA4335"/>
</svg>

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@@ -41,13 +41,13 @@ export default function ActionButtons({
navigate('/');
};
return (
<div className="fixed top-0 right-4 z-10 flex h-16 flex-col justify-center">
<div className="fixed right-4 top-0 z-10 flex h-16 flex-col justify-center">
<div className={`flex items-center gap-2 sm:gap-4 ${className}`}>
{showNewChat && (
<button
title="Open New Chat"
onClick={newChat}
className="hover:bg-bright-gray flex items-center gap-1 rounded-full p-2 lg:hidden dark:hover:bg-[#28292E]"
className="flex items-center gap-1 rounded-full p-2 hover:bg-bright-gray dark:hover:bg-[#28292E] lg:hidden"
>
<img
className="filter dark:invert"
@@ -64,7 +64,7 @@ export default function ActionButtons({
<button
title="Share"
onClick={() => setShareModalState(true)}
className="hover:bg-bright-gray rounded-full p-2 dark:hover:bg-[#28292E]"
className="rounded-full p-2 hover:bg-bright-gray dark:hover:bg-[#28292E]"
>
<img
className="filter dark:invert"

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@@ -1,40 +0,0 @@
import { useState, useEffect } from 'react';
import Robot from '../assets/robot.svg';
type AgentImageProps = {
src?: string | null;
alt?: string;
className?: string;
fallbackSrc?: string;
};
export default function AgentImage({
src,
alt = 'agent',
className = '',
fallbackSrc = Robot,
}: AgentImageProps) {
const [currentSrc, setCurrentSrc] = useState(
src && src.trim() !== '' ? src : fallbackSrc,
);
useEffect(() => {
const newSrc = src && src.trim() !== '' ? src : fallbackSrc;
if (newSrc !== currentSrc) {
setCurrentSrc(newSrc);
}
}, [src, fallbackSrc]);
return (
<img
src={currentSrc}
alt={alt}
className={className}
referrerPolicy="no-referrer"
crossOrigin="anonymous"
onError={() => {
if (currentSrc !== fallbackSrc) setCurrentSrc(fallbackSrc);
}}
/>
);
}

View File

@@ -2,16 +2,12 @@ import React, { useState, useEffect, useRef } from 'react';
import { useSelector } from 'react-redux';
import { useTranslation } from 'react-i18next';
import { selectToken } from '../preferences/preferenceSlice';
import {
useDarkTheme,
useLoaderState,
useMediaQuery,
useOutsideAlerter,
} from '../hooks';
import { useDarkTheme, useLoaderState, useMediaQuery, useOutsideAlerter } from '../hooks';
import userService from '../api/services/userService';
import ArrowLeft from '../assets/arrow-left.svg';
import NoFilesIcon from '../assets/no-files.svg';
import NoFilesDarkIcon from '../assets/no-files-dark.svg';
import OutlineSource from '../assets/outline-source.svg';
import SkeletonLoader from './SkeletonLoader';
import ConfirmationModal from '../modals/ConfirmationModal';
import { ActiveState } from '../models/misc';
@@ -37,7 +33,7 @@ const LineNumberedTextarea: React.FC<LineNumberedTextareaProps> = ({
ariaLabel,
className = '',
editable = true,
onDoubleClick,
onDoubleClick
}) => {
const { isMobile } = useMediaQuery();
@@ -49,31 +45,28 @@ const LineNumberedTextarea: React.FC<LineNumberedTextareaProps> = ({
const contentLines = value.split('\n').length;
const heightOffset = isMobile ? 200 : 300;
const minLinesForDisplay = Math.ceil(
(typeof window !== 'undefined' ? window.innerHeight - heightOffset : 600) /
lineHeight,
);
const minLinesForDisplay = Math.ceil((typeof window !== 'undefined' ? window.innerHeight - heightOffset : 600) / lineHeight);
const totalLines = Math.max(contentLines, minLinesForDisplay);
return (
<div className={`relative w-full ${className}`}>
<div
className="pointer-events-none absolute top-0 left-0 w-8 pr-2 text-right font-mono text-xs leading-[19.93px] text-gray-500 select-none lg:w-12 lg:pr-3 lg:text-sm dark:text-gray-400"
className="absolute left-0 top-0 w-8 lg:w-12 text-right text-gray-500 dark:text-gray-400 text-xs lg:text-sm font-mono leading-[19.93px] select-none pr-2 lg:pr-3 pointer-events-none"
style={{
height: `${totalLines * lineHeight}px`,
height: `${totalLines * lineHeight}px`
}}
>
{Array.from({ length: totalLines }, (_, i) => (
<div
key={i + 1}
className="flex h-[19.93px] items-center justify-end leading-[19.93px]"
className="flex items-center justify-end h-[19.93px] leading-[19.93px]"
>
{i + 1}
</div>
))}
</div>
<textarea
className={`w-full resize-none overflow-hidden border-none bg-transparent pl-8 font-['Inter'] text-[13.68px] leading-[19.93px] text-[#18181B] outline-none lg:pl-12 dark:text-white ${isMobile ? 'min-h-[calc(100vh-200px)]' : 'min-h-[calc(100vh-300px)]'} ${!editable ? 'select-none' : ''}`}
className={`w-full resize-none bg-transparent dark:text-white font-['Inter'] text-[13.68px] leading-[19.93px] text-[#18181B] outline-none border-none pl-8 lg:pl-12 overflow-hidden ${isMobile ? 'min-h-[calc(100vh-200px)]' : 'min-h-[calc(100vh-300px)]'} ${!editable ? 'select-none' : ''}`}
value={value}
onChange={editable ? handleChange : undefined}
onDoubleClick={onDoubleClick}
@@ -82,7 +75,7 @@ const LineNumberedTextarea: React.FC<LineNumberedTextareaProps> = ({
rows={totalLines}
readOnly={!editable}
style={{
height: `${totalLines * lineHeight}px`,
height: `${totalLines * lineHeight}px`
}}
/>
</div>
@@ -112,9 +105,7 @@ const Chunks: React.FC<ChunksProps> = ({
onFileSelect,
}) => {
const [fileSearchQuery, setFileSearchQuery] = useState('');
const [fileSearchResults, setFileSearchResults] = useState<SearchResult[]>(
[],
);
const [fileSearchResults, setFileSearchResults] = useState<SearchResult[]>([]);
const searchDropdownRef = useRef<HTMLDivElement>(null);
const { t } = useTranslation();
const token = useSelector(selectToken);
@@ -129,8 +120,7 @@ const Chunks: React.FC<ChunksProps> = ({
const [editingTitle, setEditingTitle] = useState('');
const [editingText, setEditingText] = useState('');
const [isAddingChunk, setIsAddingChunk] = useState(false);
const [deleteModalState, setDeleteModalState] =
useState<ActiveState>('INACTIVE');
const [deleteModalState, setDeleteModalState] = useState<ActiveState>('INACTIVE');
const [chunkToDelete, setChunkToDelete] = useState<ChunkType | null>(null);
const [isEditing, setIsEditing] = useState(false);
@@ -199,6 +189,7 @@ const Chunks: React.FC<ChunksProps> = ({
};
const handleUpdateChunk = (title: string, text: string, chunk: ChunkType) => {
if (!text.trim()) {
return;
}
@@ -283,7 +274,7 @@ const Chunks: React.FC<ChunksProps> = ({
useEffect(() => {
!loading && fetchChunks();
}, [page, perPage, path]);
useEffect(() => {
setSearchTerm('');
setPage(1);
@@ -293,45 +284,35 @@ const Chunks: React.FC<ChunksProps> = ({
const renderPathNavigation = () => {
return (
<div className="mb-0 flex min-h-[38px] flex-col gap-2 text-base sm:flex-row sm:items-center sm:justify-between">
<div className="mb-0 min-h-[38px] flex flex-col sm:flex-row sm:items-center sm:justify-between text-base gap-2">
<div className="flex w-full items-center sm:w-auto">
<button
className="mr-3 flex h-[29px] w-[29px] items-center justify-center rounded-full border p-2 text-sm font-medium text-gray-400 transition-all duration-200 dark:border-0 dark:bg-[#28292D] dark:text-gray-500 dark:hover:bg-[#2E2F34]"
onClick={
editingChunk
? () => setEditingChunk(null)
: isAddingChunk
? () => setIsAddingChunk(false)
: handleGoBack
}
className="mr-3 flex h-[29px] w-[29px] items-center justify-center rounded-full border p-2 text-sm text-gray-400 dark:border-0 dark:bg-[#28292D] dark:text-gray-500 dark:hover:bg-[#2E2F34] transition-all duration-200 font-medium"
onClick={editingChunk ? () => setEditingChunk(null) : isAddingChunk ? () => setIsAddingChunk(false) : handleGoBack}
>
<img src={ArrowLeft} alt="left-arrow" className="h-3 w-3" />
</button>
<div className="flex flex-wrap items-center">
<div className="flex items-center flex-wrap">
{/* Removed the directory icon */}
<span className="font-semibold break-words text-[#7D54D1]">
<span className="text-[#7D54D1] font-semibold break-words">
{documentName}
</span>
{pathParts.length > 0 && (
<>
<span className="mx-1 flex-shrink-0 text-gray-500">/</span>
<span className="mx-1 text-gray-500 flex-shrink-0">/</span>
{pathParts.map((part, index) => (
<React.Fragment key={index}>
<span
className={`break-words ${
index < pathParts.length - 1
? 'font-medium text-[#7D54D1]'
: 'text-gray-700 dark:text-gray-300'
}`}
>
<span className={`break-words ${
index < pathParts.length - 1
? 'text-[#7D54D1] font-medium'
: 'text-gray-700 dark:text-gray-300'
}`}>
{part}
</span>
{index < pathParts.length - 1 && (
<span className="mx-1 flex-shrink-0 text-gray-500">
/
</span>
<span className="mx-1 text-gray-500 flex-shrink-0">/</span>
)}
</React.Fragment>
))}
@@ -340,18 +321,18 @@ const Chunks: React.FC<ChunksProps> = ({
</div>
</div>
<div className="mt-2 flex w-full flex-row flex-nowrap items-center justify-end gap-2 overflow-x-auto sm:mt-0 sm:w-auto">
<div className="flex flex-row flex-nowrap items-center gap-2 w-full sm:w-auto justify-end mt-2 sm:mt-0 overflow-x-auto">
{editingChunk ? (
!isEditing ? (
<>
<button
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] font-medium whitespace-nowrap text-white"
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] whitespace-nowrap text-white font-medium"
onClick={() => setIsEditing(true)}
>
{t('modals.chunk.edit')}
</button>
<button
className="flex h-[38px] min-w-[108px] items-center justify-center rounded-full border border-solid border-red-500 px-4 py-1 text-[14px] font-medium text-nowrap text-red-500 hover:bg-red-500 hover:text-white"
className="rounded-full border border-solid border-red-500 px-4 py-1 text-[14px] text-nowrap text-red-500 hover:bg-red-500 hover:text-white h-[38px] min-w-[108px] flex items-center justify-center font-medium"
onClick={() => {
confirmDeleteChunk(editingChunk);
}}
@@ -365,40 +346,28 @@ const Chunks: React.FC<ChunksProps> = ({
onClick={() => {
setIsEditing(false);
}}
className="dark:text-light-gray flex h-[38px] min-w-[108px] cursor-pointer items-center justify-center rounded-full px-4 py-1 text-sm font-medium text-nowrap hover:bg-gray-100 dark:bg-transparent dark:hover:bg-[#767183]/50"
className="dark:text-light-gray cursor-pointer rounded-full px-4 py-1 text-sm font-medium hover:bg-gray-100 dark:bg-transparent dark:hover:bg-[#767183]/50 text-nowrap h-[38px] min-w-[108px] flex items-center justify-center"
>
{t('modals.chunk.cancel')}
</button>
<button
onClick={() => {
if (editingText.trim()) {
const hasChanges =
editingTitle !==
(editingChunk?.metadata?.title || '') ||
editingText !== (editingChunk?.text || '');
const hasChanges = editingTitle !== (editingChunk?.metadata?.title || '') ||
editingText !== (editingChunk?.text || '');
if (hasChanges) {
handleUpdateChunk(
editingTitle,
editingText,
editingChunk,
);
handleUpdateChunk(editingTitle, editingText, editingChunk);
}
setIsEditing(false);
setEditingChunk(null);
}
}}
disabled={
!editingText.trim() ||
(editingTitle === (editingChunk?.metadata?.title || '') &&
editingText === (editingChunk?.text || ''))
}
className={`flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 py-1 text-[14px] font-medium text-nowrap text-white transition-all ${
editingText.trim() &&
(editingTitle !== (editingChunk?.metadata?.title || '') ||
editingText !== (editingChunk?.text || ''))
disabled={!editingText.trim() || (editingTitle === (editingChunk?.metadata?.title || '') && editingText === (editingChunk?.text || ''))}
className={`text-nowrap rounded-full px-4 py-1 text-[14px] text-white transition-all flex items-center justify-center h-[38px] min-w-[108px] font-medium ${
editingText.trim() && (editingTitle !== (editingChunk?.metadata?.title || '') || editingText !== (editingChunk?.text || ''))
? 'bg-purple-30 hover:bg-violets-are-blue cursor-pointer'
: 'cursor-not-allowed bg-gray-400'
: 'bg-gray-400 cursor-not-allowed'
}`}
>
{t('modals.chunk.save')}
@@ -409,7 +378,7 @@ const Chunks: React.FC<ChunksProps> = ({
<>
<button
onClick={() => setIsAddingChunk(false)}
className="dark:text-light-gray flex h-[38px] min-w-[108px] cursor-pointer items-center justify-center rounded-full px-4 py-1 text-sm font-medium text-nowrap hover:bg-gray-100 dark:bg-transparent dark:hover:bg-[#767183]/50"
className="dark:text-light-gray cursor-pointer rounded-full px-4 py-1 text-sm font-medium hover:bg-gray-100 dark:bg-transparent dark:hover:bg-[#767183]/50 text-nowrap h-[38px] min-w-[108px] flex items-center justify-center"
>
{t('modals.chunk.cancel')}
</button>
@@ -421,10 +390,10 @@ const Chunks: React.FC<ChunksProps> = ({
}
}}
disabled={!editingText.trim()}
className={`flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 py-1 text-[14px] font-medium text-nowrap text-white transition-all ${
className={`text-nowrap rounded-full px-4 py-1 text-[14px] text-white transition-all flex items-center justify-center h-[38px] min-w-[108px] font-medium ${
editingText.trim()
? 'bg-purple-30 hover:bg-violets-are-blue cursor-pointer'
: 'cursor-not-allowed bg-gray-400'
: 'bg-gray-400 cursor-not-allowed'
}`}
>
{t('modals.chunk.add')}
@@ -468,30 +437,33 @@ const Chunks: React.FC<ChunksProps> = ({
setFileSearchResults([]);
},
[], // No additional dependencies
false, // Don't handle escape key
false // Don't handle escape key
);
const renderFileSearch = () => {
return (
<div className="relative" ref={searchDropdownRef}>
<div className="relative flex items-center">
<div className="pointer-events-none absolute left-3">
<img src={SearchIcon} alt="Search" className="h-4 w-4" />
<div className="absolute left-3 pointer-events-none">
<img src={SearchIcon} alt="Search" className="w-4 h-4" />
</div>
<input
type="text"
value={fileSearchQuery}
onChange={(e) => handleFileSearchChange(e.target.value)}
placeholder={t('settings.sources.searchFiles')}
className={`h-[38px] w-full border border-[#D1D9E0] py-2 pr-4 pl-10 dark:border-[#6A6A6A] ${
fileSearchQuery ? 'rounded-t-[6px]' : 'rounded-[6px]'
} bg-transparent transition-all duration-200 focus:outline-none dark:text-[#E0E0E0]`}
className={`w-full h-[38px] border border-[#D1D9E0] pl-10 pr-4 py-2 dark:border-[#6A6A6A]
${fileSearchQuery
? 'rounded-t-[6px]'
: 'rounded-[6px]'
}
bg-transparent focus:outline-none dark:text-[#E0E0E0] transition-all duration-200`}
/>
</div>
{fileSearchQuery && (
<div className="absolute z-10 max-h-[calc(100vh-200px)] w-full overflow-hidden rounded-b-[6px] border border-t-0 border-[#D1D9E0] bg-white shadow-lg dark:border-[#6A6A6A] dark:bg-[#1F2023]">
<div className="max-h-[calc(100vh-200px)] overflow-x-hidden overflow-y-auto">
<div className="max-h-[calc(100vh-200px)] overflow-y-auto overflow-x-hidden">
{fileSearchResults.length === 0 ? (
<div className="py-2 text-center text-sm text-gray-500 dark:text-gray-400">
{t('settings.sources.noResults')}
@@ -513,7 +485,7 @@ const Chunks: React.FC<ChunksProps> = ({
alt={result.isFile ? 'File' : 'Folder'}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate text-sm dark:text-[#E0E0E0]">
<span className="text-sm dark:text-[#E0E0E0] truncate">
{result.path.split('/').pop() || result.path}
</span>
</div>
@@ -528,39 +500,42 @@ const Chunks: React.FC<ChunksProps> = ({
return (
<div className="flex flex-col">
<div className="mb-2">{renderPathNavigation()}</div>
<div className="mb-2">
{renderPathNavigation()}
</div>
<div className="flex gap-4">
{onFileSearch && onFileSelect && (
<div className="hidden w-[198px] lg:block">{renderFileSearch()}</div>
<div className="hidden lg:block w-[198px]">
{renderFileSearch()}
</div>
)}
{/* Right side: Chunks content */}
<div className="flex-1">
{!editingChunk && !isAddingChunk ? (
<>
<div className="mb-3 flex flex-col items-start justify-between gap-3 sm:flex-row sm:items-center">
<div className="flex h-[38px] w-full flex-1 items-center overflow-hidden rounded-md border border-[#D1D9E0] dark:border-[#6A6A6A]">
<div className="flex h-full items-center px-4 font-medium whitespace-nowrap text-gray-700 dark:text-[#E0E0E0]">
<div className="mb-3 flex flex-col sm:flex-row items-start sm:items-center justify-between gap-3">
<div className="flex-1 w-full flex items-center border border-[#D1D9E0] dark:border-[#6A6A6A] rounded-md overflow-hidden h-[38px]">
<div className="px-4 flex items-center text-gray-700 dark:text-[#E0E0E0] font-medium whitespace-nowrap h-full">
{totalChunks > 999999
? `${(totalChunks / 1000000).toFixed(2)}M`
: totalChunks > 999
? `${(totalChunks / 1000).toFixed(2)}K`
: totalChunks}{' '}
{t('settings.sources.chunks')}
: totalChunks} {t('settings.sources.chunks')}
</div>
<div className="h-full w-[1px] bg-[#D1D9E0] dark:bg-[#6A6A6A]"></div>
<div className="h-full flex-1">
<div className="flex-1 h-full">
<input
type="text"
placeholder={t('settings.sources.searchPlaceholder')}
value={searchTerm}
onChange={(e) => setSearchTerm(e.target.value)}
className="h-full w-full border-none bg-transparent px-3 py-2 text-[13.56px] leading-[100%] font-normal outline-none dark:text-[#E0E0E0]"
className="w-full h-full px-3 py-2 bg-transparent border-none outline-none font-normal text-[13.56px] leading-[100%] dark:text-[#E0E0E0]"
/>
</div>
</div>
<button
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] w-full min-w-[108px] shrink-0 items-center justify-center rounded-full px-4 text-[14px] font-medium whitespace-normal text-white sm:w-auto"
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] w-full sm:w-auto min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] whitespace-normal text-white shrink-0 font-medium"
title={t('settings.sources.addChunk')}
onClick={() => {
setIsAddingChunk(true);
@@ -572,13 +547,13 @@ const Chunks: React.FC<ChunksProps> = ({
</button>
</div>
{loading ? (
<div className="grid w-full grid-cols-1 justify-items-start gap-4 sm:[grid-template-columns:repeat(auto-fit,minmax(400px,1fr))]">
<div className="w-full grid grid-cols-1 sm:[grid-template-columns:repeat(auto-fit,minmax(400px,1fr))] gap-4 justify-items-start">
<SkeletonLoader component="chunkCards" count={perPage} />
</div>
) : (
<div className="grid w-full grid-cols-1 justify-items-start gap-4 sm:[grid-template-columns:repeat(auto-fit,minmax(400px,1fr))]">
<div className="w-full grid grid-cols-1 sm:[grid-template-columns:repeat(auto-fit,minmax(400px,1fr))] gap-4 justify-items-start">
{filteredChunks.length === 0 ? (
<div className="col-span-full flex min-h-[50vh] w-full flex-col items-center justify-center text-center text-gray-500 dark:text-gray-400">
<div className="col-span-full w-full min-h-[50vh] flex flex-col items-center justify-center text-center text-gray-500 dark:text-gray-400">
<img
src={isDarkTheme ? NoFilesDarkIcon : NoFilesIcon}
alt={t('settings.sources.noChunksAlt')}
@@ -590,7 +565,7 @@ const Chunks: React.FC<ChunksProps> = ({
filteredChunks.map((chunk, index) => (
<div
key={index}
className="relative flex h-[197px] w-full max-w-[487px] transform cursor-pointer flex-col justify-between overflow-hidden rounded-[5.86px] border border-[#D1D9E0] transition-transform duration-200 hover:scale-105 dark:border-[#6A6A6A]"
className="transform transition-transform duration-200 hover:scale-105 relative flex h-[197px] flex-col justify-between rounded-[5.86px] border border-[#D1D9E0] dark:border-[#6A6A6A] overflow-hidden cursor-pointer w-full max-w-[487px]"
onClick={() => {
setEditingChunk(chunk);
setEditingTitle(chunk.metadata?.title || '');
@@ -598,16 +573,13 @@ const Chunks: React.FC<ChunksProps> = ({
}}
>
<div className="w-full">
<div className="flex w-full items-center justify-between border-b border-[#D1D9E0] bg-[#F6F8FA] px-4 py-3 dark:border-[#6A6A6A] dark:bg-[#27282D]">
<div className="text-sm text-[#59636E] dark:text-[#E0E0E0]">
{chunk.metadata.token_count
? chunk.metadata.token_count.toLocaleString()
: '-'}{' '}
{t('settings.sources.tokensUnit')}
<div className="flex w-full items-center justify-between border-b border-[#D1D9E0] bg-[#F6F8FA] dark:bg-[#27282D] dark:border-[#6A6A6A] px-4 py-3">
<div className="text-[#59636E] text-sm dark:text-[#E0E0E0]">
{chunk.metadata.token_count ? chunk.metadata.token_count.toLocaleString() : '-'} {t('settings.sources.tokensUnit')}
</div>
</div>
<div className="px-4 pt-3 pb-6">
<p className="line-clamp-6 font-['Inter'] text-[13.68px] leading-[19.93px] font-normal text-[#18181B] dark:text-[#E0E0E0]">
<p className="font-['Inter'] text-[13.68px] leading-[19.93px] text-[#18181B] dark:text-[#E0E0E0] line-clamp-6 font-normal">
{chunk.text}
</p>
</div>
@@ -620,7 +592,7 @@ const Chunks: React.FC<ChunksProps> = ({
</>
) : isAddingChunk ? (
<div className="w-full">
<div className="relative overflow-hidden rounded-lg border border-[#D1D9E0] dark:border-[#6A6A6A]">
<div className="relative border border-[#D1D9E0] dark:border-[#6A6A6A] rounded-lg overflow-hidden">
<LineNumberedTextarea
value={editingText}
onChange={setEditingText}
@@ -629,53 +601,45 @@ const Chunks: React.FC<ChunksProps> = ({
/>
</div>
</div>
) : (
editingChunk && (
<div className="w-full">
<div className="relative flex w-full flex-col overflow-hidden rounded-[5.86px] border border-[#D1D9E0] dark:border-[#6A6A6A]">
<div className="flex w-full items-center justify-between border-b border-[#D1D9E0] bg-[#F6F8FA] px-4 py-3 dark:border-[#6A6A6A] dark:bg-[#27282D]">
<div className="text-sm text-[#59636E] dark:text-[#E0E0E0]">
{editingChunk.metadata.token_count
? editingChunk.metadata.token_count.toLocaleString()
: '-'}{' '}
{t('settings.sources.tokensUnit')}
</div>
</div>
<div className="overflow-hidden p-4">
<LineNumberedTextarea
value={isEditing ? editingText : editingChunk.text}
onChange={setEditingText}
ariaLabel={t('modals.chunk.promptText')}
editable={isEditing}
onDoubleClick={() => {
if (!isEditing) {
setIsEditing(true);
setEditingTitle(editingChunk.metadata.title || '');
setEditingText(editingChunk.text);
}
}}
/>
) : editingChunk && (
<div className="w-full">
<div className="relative flex flex-col rounded-[5.86px] border border-[#D1D9E0] dark:border-[#6A6A6A] overflow-hidden w-full">
<div className="flex w-full items-center justify-between border-b border-[#D1D9E0] bg-[#F6F8FA] dark:bg-[#27282D] dark:border-[#6A6A6A] px-4 py-3">
<div className="text-[#59636E] text-sm dark:text-[#E0E0E0]">
{editingChunk.metadata.token_count ? editingChunk.metadata.token_count.toLocaleString() : '-'} {t('settings.sources.tokensUnit')}
</div>
</div>
<div className="p-4 overflow-hidden">
<LineNumberedTextarea
value={isEditing ? editingText : editingChunk.text}
onChange={setEditingText}
ariaLabel={t('modals.chunk.promptText')}
editable={isEditing}
onDoubleClick={() => {
if (!isEditing) {
setIsEditing(true);
setEditingTitle(editingChunk.metadata.title || '');
setEditingText(editingChunk.text);
}
}}
/>
</div>
</div>
)
</div>
)}
{!loading &&
totalChunks > perPage &&
!editingChunk &&
!isAddingChunk && (
<Pagination
currentPage={page}
totalPages={Math.ceil(totalChunks / perPage)}
rowsPerPage={perPage}
onPageChange={setPage}
onRowsPerPageChange={(rows) => {
setPerPage(rows);
setPage(1);
}}
/>
)}
{!loading && totalChunks > perPage && !editingChunk && !isAddingChunk && (
<Pagination
currentPage={page}
totalPages={Math.ceil(totalChunks / perPage)}
rowsPerPage={perPage}
onPageChange={setPage}
onRowsPerPageChange={(rows) => {
setPerPage(rows);
setPage(1);
}}
/>
)}
</div>
</div>

View File

@@ -1,7 +1,5 @@
import React, { useRef } from 'react';
import { useSelector } from 'react-redux';
import { useTranslation } from 'react-i18next';
import { useDarkTheme } from '../hooks';
import { selectToken } from '../preferences/preferenceSlice';
interface ConnectorAuthProps {
@@ -9,25 +7,17 @@ interface ConnectorAuthProps {
onSuccess: (data: { session_token: string; user_email: string }) => void;
onError: (error: string) => void;
label?: string;
isConnected?: boolean;
userEmail?: string;
onDisconnect?: () => void;
errorMessage?: string;
}
const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
provider,
onSuccess,
onError,
label,
isConnected = false,
userEmail = '',
onDisconnect,
errorMessage,
}) => {
const { t } = useTranslation();
const providerLabel = (provider: string) => {
const map: Record<string, string> = {
google_drive: 'Google Drive',
};
return map[provider] || provider.replace(/_/g, ' ');
};
const ConnectorAuth: React.FC<ConnectorAuthProps> = ({ provider, onSuccess, onError, label }) => {
const token = useSelector(selectToken);
const [isDarkTheme] = useDarkTheme();
const completedRef = useRef(false);
const intervalRef = useRef<number | null>(null);
@@ -41,24 +31,20 @@ const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
const handleAuthMessage = (event: MessageEvent) => {
const successGeneric = event.data?.type === 'connector_auth_success';
const successProvider = event.data?.type === `${provider}_auth_success`;
const errorProvider = event.data?.type === `${provider}_auth_error`;
const successProvider = event.data?.type === `${provider}_auth_success` || event.data?.type === 'google_drive_auth_success';
const errorProvider = event.data?.type === `${provider}_auth_error` || event.data?.type === 'google_drive_auth_error';
if (successGeneric || successProvider) {
completedRef.current = true;
cleanup();
onSuccess({
session_token: event.data.session_token,
user_email:
event.data.user_email ||
t('modals.uploadDoc.connectors.auth.connectedUser'),
user_email: event.data.user_email || 'Connected User',
});
} else if (errorProvider) {
completedRef.current = true;
cleanup();
onError(
event.data.error || t('modals.uploadDoc.connectors.auth.authFailed'),
);
onError(event.data.error || 'Authentication failed');
}
};
@@ -68,33 +54,26 @@ const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
cleanup();
const apiHost = import.meta.env.VITE_API_HOST;
const authResponse = await fetch(
`${apiHost}/api/connectors/auth?provider=${provider}`,
{
headers: { Authorization: `Bearer ${token}` },
},
);
const authResponse = await fetch(`${apiHost}/api/connectors/auth?provider=${provider}`, {
headers: { Authorization: `Bearer ${token}` },
});
if (!authResponse.ok) {
throw new Error(
`${t('modals.uploadDoc.connectors.auth.authUrlFailed')}: ${authResponse.status}`,
);
throw new Error(`Failed to get authorization URL: ${authResponse.status}`);
}
const authData = await authResponse.json();
if (!authData.success || !authData.authorization_url) {
throw new Error(
authData.error || t('modals.uploadDoc.connectors.auth.authUrlFailed'),
);
throw new Error(authData.error || 'Failed to get authorization URL');
}
const authWindow = window.open(
authData.authorization_url,
`${provider}-auth`,
'width=500,height=600,scrollbars=yes,resizable=yes',
'width=500,height=600,scrollbars=yes,resizable=yes'
);
if (!authWindow) {
throw new Error(t('modals.uploadDoc.connectors.auth.popupBlocked'));
throw new Error('Failed to open authentication window. Please allow popups.');
}
window.addEventListener('message', handleAuthMessage as any);
@@ -104,91 +83,30 @@ const ConnectorAuth: React.FC<ConnectorAuthProps> = ({
clearInterval(checkClosed);
window.removeEventListener('message', handleAuthMessage as any);
if (!completedRef.current) {
onError(t('modals.uploadDoc.connectors.auth.authCancelled'));
onError('Authentication was cancelled');
}
}
}, 1000);
intervalRef.current = checkClosed;
} catch (error) {
onError(
error instanceof Error
? error.message
: t('modals.uploadDoc.connectors.auth.authFailed'),
);
onError(error instanceof Error ? error.message : 'Authentication failed');
}
};
const buttonLabel = label || `Connect ${providerLabel(provider)}`;
return (
<>
{errorMessage && (
<div className="mb-4 flex items-center gap-2 rounded-lg border border-[#E60000] bg-transparent p-2 dark:border-[#D42626] dark:bg-[#D426261A]">
<svg
width="30"
height="30"
viewBox="0 0 30 30"
fill="none"
xmlns="http://www.w3.org/2000/svg"
>
<path
d="M7.09974 24.5422H22.9C24.5156 24.5422 25.5228 22.7901 24.715 21.3947L16.8149 7.74526C16.007 6.34989 13.9927 6.34989 13.1848 7.74526L5.28471 21.3947C4.47686 22.7901 5.48405 24.5422 7.09974 24.5422ZM14.9998 17.1981C14.4228 17.1981 13.9507 16.726 13.9507 16.149V14.0507C13.9507 13.4736 14.4228 13.0015 14.9998 13.0015C15.5769 13.0015 16.049 13.4736 16.049 14.0507V16.149C16.049 16.726 15.5769 17.1981 14.9998 17.1981ZM16.049 21.3947H13.9507V19.2964H16.049V21.3947Z"
fill={isDarkTheme ? '#EECF56' : '#E60000'}
/>
</svg>
<span
className="text-sm text-[#E60000] dark:text-[#E37064]"
style={{
fontFamily: 'Inter',
lineHeight: '100%',
}}
>
{errorMessage}
</span>
</div>
)}
{isConnected ? (
<div className="mb-4">
<div className="flex w-full items-center justify-between rounded-[10px] bg-[#8FDD51] px-4 py-2 text-sm font-medium text-[#212121]">
<div className="flex items-center gap-2">
<svg className="h-4 w-4" viewBox="0 0 24 24">
<path
fill="currentColor"
d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41z"
/>
</svg>
<span>
{t('modals.uploadDoc.connectors.auth.connectedAs', {
email: userEmail,
})}
</span>
</div>
{onDisconnect && (
<button
onClick={onDisconnect}
className="text-xs font-medium text-[#212121] underline hover:text-gray-700"
>
{t('modals.uploadDoc.connectors.auth.disconnect')}
</button>
)}
</div>
</div>
) : (
<button
onClick={handleAuth}
className="flex w-full items-center justify-center gap-2 rounded-lg bg-blue-500 px-4 py-3 text-white transition-colors hover:bg-blue-600"
>
<svg className="h-5 w-5" viewBox="0 0 24 24">
<path
fill="currentColor"
d="M6.28 3l5.72 10H24l-5.72-10H6.28zm11.44 0L12 13l5.72 10H24L18.28 3h-.56zM0 13l5.72 10h5.72L5.72 13H0z"
/>
</svg>
{label}
</button>
)}
</>
<button
onClick={handleAuth}
className="w-full flex items-center justify-center gap-2 rounded-lg bg-blue-500 px-4 py-3 text-white hover:bg-blue-600 transition-colors"
>
<svg className="h-5 w-5" viewBox="0 0 24 24">
<path fill="currentColor" d="M6.28 3l5.72 10H24l-5.72-10H6.28zm11.44 0L12 13l5.72 10H24L18.28 3h-.56zM0 13l5.72 10h5.72L5.72 13H0z"/>
</svg>
{buttonLabel}
</button>
);
};
export default ConnectorAuth;

View File

@@ -3,10 +3,8 @@ import { useTranslation } from 'react-i18next';
import { useSelector } from 'react-redux';
import { formatBytes } from '../utils/stringUtils';
import { selectToken } from '../preferences/preferenceSlice';
import { ActiveState } from '../models/misc';
import Chunks from './Chunks';
import ContextMenu, { MenuOption } from './ContextMenu';
import ConfirmationModal from '../modals/ConfirmationModal';
import userService from '../api/services/userService';
import FileIcon from '../assets/file.svg';
import FolderIcon from '../assets/folder.svg';
@@ -14,17 +12,7 @@ import ArrowLeft from '../assets/arrow-left.svg';
import ThreeDots from '../assets/three-dots.svg';
import EyeView from '../assets/eye-view.svg';
import SyncIcon from '../assets/sync.svg';
import CheckmarkIcon from '../assets/checkMark2.svg';
import { useOutsideAlerter } from '../hooks';
import {
Table,
TableContainer,
TableHead,
TableBody,
TableRow,
TableHeader,
TableCell,
} from './Table';
interface FileNode {
type?: string;
@@ -76,8 +64,6 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
const [syncProgress, setSyncProgress] = useState<number>(0);
const [sourceProvider, setSourceProvider] = useState<string>('');
const [syncDone, setSyncDone] = useState<boolean>(false);
const [syncConfirmationModal, setSyncConfirmationModal] =
useState<ActiveState>('INACTIVE');
useOutsideAlerter(
searchDropdownRef,
@@ -241,6 +227,8 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
return current;
};
const getMenuRef = (id: string) => {
if (!menuRefs.current[id]) {
menuRefs.current[id] = React.createRef();
@@ -357,7 +345,7 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
{/* Sync button */}
<button
onClick={() => setSyncConfirmationModal('ACTIVE')}
onClick={handleSync}
disabled={isSyncing}
className={`flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] font-medium whitespace-nowrap transition-colors ${
isSyncing
@@ -373,7 +361,7 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
}
>
<img
src={syncDone ? CheckmarkIcon : SyncIcon}
src={SyncIcon}
alt={t('settings.sources.sync')}
className={`mr-2 h-4 w-4 brightness-0 invert filter ${isSyncing ? 'animate-spin' : ''}`}
/>
@@ -388,30 +376,38 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
);
};
const renderFileTree = (directory: DirectoryStructure): React.ReactNode[] => {
const renderFileTree = (directory: DirectoryStructure) => {
if (!directory) return [];
// Create parent directory row
const parentRow =
currentPath.length > 0
? [
<TableRow key="parent-dir" onClick={navigateUp}>
<TableCell width="40%" align="left">
<tr
key="parent-dir"
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={navigateUp}
>
<td className="px-2 py-2 lg:px-4">
<div className="flex items-center">
<img
src={FolderIcon}
alt={t('settings.sources.parentFolderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">..</span>
<span className="truncate text-sm dark:text-[#E0E0E0]">
..
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</TableCell>
<TableCell width="20%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</TableCell>
<TableCell width="10%" align="right"></TableCell>
</TableRow>,
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4"></td>
</tr>,
]
: [];
@@ -440,26 +436,32 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
const dirStats = calculateDirectoryStats(node as DirectoryStructure);
return (
<TableRow key={itemId} onClick={() => navigateToDirectory(name)}>
<TableCell width="40%" align="left">
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => navigateToDirectory(name)}
>
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FolderIcon}
alt={t('settings.sources.folderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">{name}</span>
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalTokens > 0
? dirStats.totalTokens.toLocaleString()
: '-'}
</TableCell>
<TableCell width="20%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalSize > 0 ? formatBytes(dirStats.totalSize) : '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
@@ -483,8 +485,8 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
});
@@ -496,24 +498,30 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
const menuRef = getMenuRef(itemId);
return (
<TableRow key={itemId} onClick={() => handleFileClick(name)}>
<TableCell width="40%" align="left">
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => handleFileClick(name)}
>
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FileIcon}
alt={t('settings.sources.fileAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">{name}</span>
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{node.token_count?.toLocaleString() || '-'}
</TableCell>
<TableCell width="20%" align="left">
</td>
<td className="px-2 py-2 text-sm md:px-4 dark:text-[#E0E0E0]">
{node.size_bytes ? formatBytes(node.size_bytes) : '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
@@ -537,8 +545,8 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
});
@@ -696,43 +704,28 @@ const ConnectorTreeComponent: React.FC<ConnectorTreeComponentProps> = ({
<div className="mb-2">{renderPathNavigation()}</div>
<div className="w-full">
<TableContainer>
<Table>
<TableHead>
<TableRow>
<TableHeader width="40%" align="left">
<div className="overflow-x-auto rounded-[6px] border border-[#D1D9E0] dark:border-[#6A6A6A]">
<table className="w-full min-w-[600px] table-auto bg-transparent">
<thead className="bg-gray-100 dark:bg-[#27282D]">
<tr className="border-b border-[#D1D9E0] dark:border-[#6A6A6A]">
<th className="min-w-[200px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.fileName')}
</TableHeader>
<TableHeader width="30%" align="left">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.tokens')}
</TableHeader>
<TableHeader width="20%" align="left">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.size')}
</TableHeader>
<TableHeader width="10%" align="right">
<span className="sr-only">
{t('settings.sources.actions')}
</span>
</TableHeader>
</TableRow>
</TableHead>
<TableBody>{renderFileTree(getCurrentDirectory())}</TableBody>
</Table>
</TableContainer>
</th>
<th className="w-10 px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]"></th>
</tr>
</thead>
<tbody>{renderFileTree(getCurrentDirectory())}</tbody>
</table>
</div>
</div>
</div>
)}
<ConfirmationModal
message={t('settings.sources.syncConfirmation', {
sourceName,
})}
modalState={syncConfirmationModal}
setModalState={setSyncConfirmationModal}
handleSubmit={handleSync}
submitLabel={t('settings.sources.sync')}
cancelLabel={t('cancel')}
/>
</div>
);
};

View File

@@ -8,6 +8,10 @@ import CopyIcon from '../assets/copy.svg?react';
type CopyButtonProps = {
textToCopy: string;
bgColorLight?: string;
bgColorDark?: string;
hoverBgColorLight?: string;
hoverBgColorDark?: string;
iconSize?: string;
padding?: string;
showText?: boolean;
@@ -23,11 +27,14 @@ const DEFAULT_COPIED_DURATION = 2000;
const DEFAULT_BG_LIGHT = '#FFFFFF';
const DEFAULT_BG_DARK = 'transparent';
const DEFAULT_HOVER_BG_LIGHT = '#EEEEEE';
const DEFAULT_HOVER_BG_DARK = '#464152';
const DEFAULT_HOVER_BG_DARK = '#4A4A4A';
export default function CopyButton({
textToCopy,
bgColorLight = DEFAULT_BG_LIGHT,
bgColorDark = DEFAULT_BG_DARK,
hoverBgColorLight = DEFAULT_HOVER_BG_LIGHT,
hoverBgColorDark = DEFAULT_HOVER_BG_DARK,
iconSize = DEFAULT_ICON_SIZE,
padding = DEFAULT_PADDING,
showText = false,
@@ -43,10 +50,9 @@ export default function CopyButton({
const iconWrapperClasses = clsx(
'flex items-center justify-center rounded-full transition-colors duration-150 ease-in-out',
padding,
`bg-[${DEFAULT_BG_LIGHT}] dark:bg-[${DEFAULT_BG_DARK}]`,
`bg-[${bgColorLight}] dark:bg-[${bgColorDark}]`,
`hover:bg-[${hoverBgColorLight}] dark:hover:bg-[${hoverBgColorDark}]`,
{
[`hover:bg-[${DEFAULT_HOVER_BG_LIGHT}] dark:hover:bg-[${DEFAULT_HOVER_BG_DARK}]`]:
!isCopied,
'bg-green-100 dark:bg-green-900 hover:bg-green-100 dark:hover:bg-green-900':
isCopied,
},

View File

@@ -61,12 +61,12 @@ const Pagination: React.FC<PaginationProps> = ({
<div className="relative">
<button
onClick={toggleDropdown}
className="dark:bg-dark-charcoal dark:text-light-gray rounded border px-3 py-1 hover:bg-gray-200 dark:hover:bg-neutral-700"
className="rounded border px-3 py-1 hover:bg-gray-200 dark:bg-dark-charcoal dark:text-light-gray dark:hover:bg-neutral-700"
>
{rowsPerPage}
</button>
<div
className={`ring-opacity-5 dark:bg-dark-charcoal absolute right-0 z-50 mt-1 w-28 transform bg-white shadow-lg ring-1 ring-black transition-all duration-200 ease-in-out ${
className={`absolute right-0 z-50 mt-1 w-28 transform bg-white shadow-lg ring-1 ring-black ring-opacity-5 transition-all duration-200 ease-in-out dark:bg-dark-charcoal ${
isDropdownOpen
? 'block scale-100 opacity-100'
: 'hidden scale-95 opacity-0'
@@ -78,8 +78,8 @@ const Pagination: React.FC<PaginationProps> = ({
onClick={() => handleSelectRowsPerPage(option)}
className={`cursor-pointer px-4 py-2 text-xs hover:bg-gray-100 dark:hover:bg-neutral-700 ${
rowsPerPage === option
? 'dark:text-light-gray bg-gray-100 dark:bg-neutral-700'
: 'dark:bg-dark-charcoal dark:text-light-gray bg-white'
? 'bg-gray-100 dark:bg-neutral-700 dark:text-light-gray'
: 'bg-white dark:bg-dark-charcoal dark:text-light-gray'
}`}
>
{option}

View File

@@ -88,7 +88,7 @@ export default function DropdownMenu({
onClick={(e) => e.stopPropagation()}
>
<div
className={`ring-opacity-5 dark:bg-dark-charcoal w-28 transform rounded-md bg-white shadow-lg ring-1 ring-black transition-all duration-200 ease-in-out ${className}`}
className={`w-28 transform rounded-md bg-white shadow-lg ring-1 ring-black ring-opacity-5 transition-all duration-200 ease-in-out dark:bg-dark-charcoal ${className}`}
>
<div
role="menu"
@@ -99,10 +99,10 @@ export default function DropdownMenu({
{options.map((option, idx) => (
<div
id={`option-${idx}`}
className={`dark:text-light-gray dark:hover:bg-purple-taupe cursor-pointer px-4 py-2 text-xs hover:bg-gray-100 ${
className={`cursor-pointer px-4 py-2 text-xs hover:bg-gray-100 dark:text-light-gray dark:hover:bg-purple-taupe ${
selectedOption.value === option.value
? 'dark:bg-purple-taupe bg-gray-100'
: 'dark:bg-dark-charcoal bg-white'
? 'bg-gray-100 dark:bg-purple-taupe'
: 'bg-white dark:bg-dark-charcoal'
}`}
role="menuitem"
key={option.value}

View File

@@ -1,528 +0,0 @@
import React, { useState, useEffect, useCallback, useRef } from 'react';
import { formatBytes } from '../utils/stringUtils';
import { formatDate } from '../utils/dateTimeUtils';
import {
getSessionToken,
setSessionToken,
removeSessionToken,
} from '../utils/providerUtils';
import ConnectorAuth from '../components/ConnectorAuth';
import FileIcon from '../assets/file.svg';
import FolderIcon from '../assets/folder.svg';
import CheckIcon from '../assets/checkmark.svg';
import SearchIcon from '../assets/search.svg';
import Input from './Input';
import {
Table,
TableContainer,
TableHead,
TableBody,
TableRow,
TableHeader,
TableCell,
} from './Table';
interface CloudFile {
id: string;
name: string;
type: string;
size?: number;
modifiedTime: string;
isFolder?: boolean;
}
interface CloudFilePickerProps {
onSelectionChange: (
selectedFileIds: string[],
selectedFolderIds?: string[],
) => void;
onDisconnect?: () => void;
provider: string;
token: string | null;
initialSelectedFiles?: string[];
initialSelectedFolders?: string[];
}
export const FilePicker: React.FC<CloudFilePickerProps> = ({
onSelectionChange,
onDisconnect,
provider,
token,
initialSelectedFiles = [],
}) => {
const PROVIDER_CONFIG = {
google_drive: {
displayName: 'Drive',
rootName: 'My Drive',
},
} as const;
const getProviderConfig = (provider: string) => {
return (
PROVIDER_CONFIG[provider as keyof typeof PROVIDER_CONFIG] || {
displayName: provider,
rootName: 'Root',
}
);
};
const [files, setFiles] = useState<CloudFile[]>([]);
const [selectedFiles, setSelectedFiles] =
useState<string[]>(initialSelectedFiles);
const [selectedFolders, setSelectedFolders] = useState<string[]>([]);
const [isLoading, setIsLoading] = useState(false);
const [hasMoreFiles, setHasMoreFiles] = useState(false);
const [nextPageToken, setNextPageToken] = useState<string | null>(null);
const [currentFolderId, setCurrentFolderId] = useState<string | null>(null);
const [folderPath, setFolderPath] = useState<
Array<{ id: string | null; name: string }>
>([
{
id: null,
name: getProviderConfig(provider).rootName,
},
]);
const [searchQuery, setSearchQuery] = useState<string>('');
const [authError, setAuthError] = useState<string>('');
const [isConnected, setIsConnected] = useState(false);
const [userEmail, setUserEmail] = useState<string>('');
const scrollContainerRef = useRef<HTMLDivElement>(null);
const searchTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null);
const isFolder = (file: CloudFile) => {
return (
file.isFolder ||
file.type === 'application/vnd.google-apps.folder' ||
file.type === 'folder'
);
};
const loadCloudFiles = useCallback(
async (
sessionToken: string,
folderId: string | null,
pageToken?: string,
searchQuery = '',
) => {
setIsLoading(true);
const apiHost = import.meta.env.VITE_API_HOST;
if (!pageToken) {
setFiles([]);
}
try {
const response = await fetch(`${apiHost}/api/connectors/files`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`,
},
body: JSON.stringify({
provider: provider,
session_token: sessionToken,
folder_id: folderId,
limit: 10,
page_token: pageToken,
search_query: searchQuery,
}),
});
const data = await response.json();
if (data.success) {
setFiles((prev) =>
pageToken ? [...prev, ...data.files] : data.files,
);
setNextPageToken(data.next_page_token);
setHasMoreFiles(!!data.next_page_token);
} else {
console.error('Error loading files:', data.error);
if (!pageToken) {
setFiles([]);
}
}
} catch (err) {
console.error('Error loading files:', err);
if (!pageToken) {
setFiles([]);
}
} finally {
setIsLoading(false);
}
},
[token, provider],
);
const validateAndLoadFiles = useCallback(async () => {
const sessionToken = getSessionToken(provider);
if (!sessionToken) {
setIsConnected(false);
return;
}
try {
const apiHost = import.meta.env.VITE_API_HOST;
const validateResponse = await fetch(
`${apiHost}/api/connectors/validate-session`,
{
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`,
},
body: JSON.stringify({
provider: provider,
session_token: sessionToken,
}),
},
);
if (!validateResponse.ok) {
removeSessionToken(provider);
setIsConnected(false);
setAuthError('Session expired. Please reconnect to Google Drive.');
return;
}
const validateData = await validateResponse.json();
if (validateData.success) {
setUserEmail(validateData.user_email || 'Connected User');
setIsConnected(true);
setAuthError('');
setFiles([]);
setNextPageToken(null);
setHasMoreFiles(false);
setCurrentFolderId(null);
setFolderPath([
{
id: null,
name: getProviderConfig(provider).rootName,
},
]);
loadCloudFiles(sessionToken, null, undefined, '');
} else {
removeSessionToken(provider);
setIsConnected(false);
setAuthError(
validateData.error ||
'Session expired. Please reconnect your account.',
);
}
} catch (error) {
console.error('Error validating session:', error);
setAuthError('Failed to validate session. Please reconnect.');
setIsConnected(false);
}
}, [provider, token, loadCloudFiles]);
useEffect(() => {
validateAndLoadFiles();
}, [validateAndLoadFiles]);
const handleScroll = useCallback(() => {
const scrollContainer = scrollContainerRef.current;
if (!scrollContainer) return;
const { scrollTop, scrollHeight, clientHeight } = scrollContainer;
const isNearBottom = scrollHeight - scrollTop - clientHeight < 50;
if (isNearBottom && hasMoreFiles && !isLoading && nextPageToken) {
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(
sessionToken,
currentFolderId,
nextPageToken,
searchQuery,
);
}
}
}, [
hasMoreFiles,
isLoading,
nextPageToken,
currentFolderId,
searchQuery,
provider,
loadCloudFiles,
]);
useEffect(() => {
const scrollContainer = scrollContainerRef.current;
if (scrollContainer) {
scrollContainer.addEventListener('scroll', handleScroll);
return () => scrollContainer.removeEventListener('scroll', handleScroll);
}
}, [handleScroll]);
useEffect(() => {
return () => {
if (searchTimeoutRef.current) {
clearTimeout(searchTimeoutRef.current);
}
};
}, []);
const handleSearchChange = (query: string) => {
setSearchQuery(query);
if (searchTimeoutRef.current) {
clearTimeout(searchTimeoutRef.current);
}
searchTimeoutRef.current = setTimeout(() => {
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(sessionToken, currentFolderId, undefined, query);
}
}, 300);
};
const handleFolderClick = (folderId: string, folderName: string) => {
if (folderId === currentFolderId) {
return;
}
setIsLoading(true);
setCurrentFolderId(folderId);
setFolderPath((prev) => [...prev, { id: folderId, name: folderName }]);
setSearchQuery('');
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(sessionToken, folderId, undefined, '');
}
};
const navigateBack = (index: number) => {
if (index >= folderPath.length - 1) return;
const newFolderPath = folderPath.slice(0, index + 1);
const newFolderId = newFolderPath[newFolderPath.length - 1].id;
setFolderPath(newFolderPath);
setCurrentFolderId(newFolderId);
setSearchQuery('');
const sessionToken = getSessionToken(provider);
if (sessionToken) {
loadCloudFiles(sessionToken, newFolderId, undefined, '');
}
};
const handleFileSelect = (fileId: string, isFolder: boolean) => {
if (isFolder) {
const newSelectedFolders = selectedFolders.includes(fileId)
? selectedFolders.filter((id) => id !== fileId)
: [...selectedFolders, fileId];
setSelectedFolders(newSelectedFolders);
onSelectionChange(selectedFiles, newSelectedFolders);
} else {
const newSelectedFiles = selectedFiles.includes(fileId)
? selectedFiles.filter((id) => id !== fileId)
: [...selectedFiles, fileId];
setSelectedFiles(newSelectedFiles);
onSelectionChange(newSelectedFiles, selectedFolders);
}
};
return (
<div className="">
{authError && (
<div className="mb-4 text-center text-sm text-red-500">{authError}</div>
)}
<ConnectorAuth
provider={provider}
onSuccess={(data) => {
setUserEmail(data.user_email || 'Connected User');
setIsConnected(true);
setAuthError('');
if (data.session_token) {
setSessionToken(provider, data.session_token);
loadCloudFiles(data.session_token, null);
}
}}
onError={(error) => {
setAuthError(error);
setIsConnected(false);
}}
isConnected={isConnected}
userEmail={userEmail}
onDisconnect={() => {
const sessionToken = getSessionToken(provider);
if (sessionToken) {
const apiHost = import.meta.env.VITE_API_HOST;
fetch(`${apiHost}/api/connectors/disconnect`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${token}`,
},
body: JSON.stringify({
provider: provider,
session_token: sessionToken,
}),
}).catch((err) =>
console.error(
`Error disconnecting from ${getProviderConfig(provider).displayName}:`,
err,
),
);
}
removeSessionToken(provider);
setIsConnected(false);
setFiles([]);
setSelectedFiles([]);
onSelectionChange([]);
if (onDisconnect) {
onDisconnect();
}
}}
/>
{isConnected && (
<div className="mt-3 rounded-lg border border-[#D7D7D7] dark:border-[#6A6A6A]">
<div className="rounded-t-lg border-[#EEE6FF78] dark:border-[#6A6A6A]">
{/* Breadcrumb navigation */}
<div className="rounded-t-lg bg-[#EEE6FF78] px-4 pt-4 dark:bg-[#2A262E]">
<div className="mb-2 flex items-center gap-1">
{folderPath.map((path, index) => (
<div
key={path.id || 'root'}
className="flex items-center gap-1"
>
{index > 0 && <span className="text-gray-400">/</span>}
<button
onClick={() => navigateBack(index)}
className="text-sm text-[#A076F6] hover:text-[#8A5FD4] hover:underline"
disabled={index === folderPath.length - 1}
>
{path.name}
</button>
</div>
))}
</div>
<div className="mb-3 text-sm text-gray-600 dark:text-gray-400">
Select Files from {getProviderConfig(provider).displayName}
</div>
<div className="mb-3 max-w-md">
<Input
type="text"
placeholder="Search files and folders..."
value={searchQuery}
onChange={(e) => handleSearchChange(e.target.value)}
colorVariant="silver"
borderVariant="thin"
labelBgClassName="bg-[#EEE6FF78] dark:bg-[#2A262E]"
leftIcon={
<img src={SearchIcon} alt="Search" width={16} height={16} />
}
/>
</div>
{/* Selected Files Message */}
<div className="pb-3 text-sm text-gray-600 dark:text-gray-400">
{selectedFiles.length + selectedFolders.length} selected
</div>
</div>
<div className="h-72">
<TableContainer
ref={scrollContainerRef}
height="288px"
className="scrollbar-thin md:w-4xl lg:w-5xl"
bordered={false}
>
{
<>
<Table minWidth="1200px">
<TableHead>
<TableRow>
<TableHeader width="40px"></TableHeader>
<TableHeader width="60%">Name</TableHeader>
<TableHeader width="20%">Last Modified</TableHeader>
<TableHeader width="20%">Size</TableHeader>
</TableRow>
</TableHead>
<TableBody>
{files.map((file, index) => (
<TableRow
key={`${file.id}-${index}`}
onClick={() => {
if (isFolder(file)) {
handleFolderClick(file.id, file.name);
} else {
handleFileSelect(file.id, false);
}
}}
>
<TableCell width="40px" align="center">
<div
className="mx-auto flex h-5 w-5 shrink-0 cursor-pointer items-center justify-center border border-[#EEE6FF78] p-[0.5px] text-sm dark:border-[#6A6A6A]"
onClick={(e) => {
e.stopPropagation();
handleFileSelect(file.id, isFolder(file));
}}
>
{(isFolder(file)
? selectedFolders
: selectedFiles
).includes(file.id) && (
<img
src={CheckIcon}
alt="Selected"
className="h-4 w-4"
/>
)}
</div>
</TableCell>
<TableCell>
<div className="flex min-w-0 items-center gap-3">
<div className="flex-shrink-0">
<img
src={isFolder(file) ? FolderIcon : FileIcon}
alt={isFolder(file) ? 'Folder' : 'File'}
className="h-6 w-6"
/>
</div>
<span className="truncate">{file.name}</span>
</div>
</TableCell>
<TableCell className="text-xs">
{formatDate(file.modifiedTime)}
</TableCell>
<TableCell className="text-xs">
{file.size ? formatBytes(file.size) : '-'}
</TableCell>
</TableRow>
))}
</TableBody>
</Table>
{isLoading && (
<div className="flex items-center justify-center border-t border-[#EEE6FF78] p-4 dark:border-[#6A6A6A]">
<div className="inline-flex items-center gap-2 text-sm text-gray-600 dark:text-gray-400">
<div className="h-4 w-4 animate-spin rounded-full border-2 border-blue-500 border-t-transparent"></div>
Loading more files...
</div>
</div>
)}
</>
}
</TableContainer>
</div>
</div>
</div>
)}
</div>
);
};

View File

@@ -11,18 +11,11 @@ import FolderIcon from '../assets/folder.svg';
import ArrowLeft from '../assets/arrow-left.svg';
import ThreeDots from '../assets/three-dots.svg';
import EyeView from '../assets/eye-view.svg';
import OutlineSource from '../assets/outline-source.svg';
import Trash from '../assets/red-trash.svg';
import SearchIcon from '../assets/search.svg';
import { useOutsideAlerter } from '../hooks';
import ConfirmationModal from '../modals/ConfirmationModal';
import {
Table,
TableContainer,
TableHead,
TableBody,
TableRow,
TableHeader,
TableCell,
} from './Table';
interface FileNode {
type?: string;
@@ -136,6 +129,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
}
}, [docId, token]);
const navigateToDirectory = (dirName: string) => {
setCurrentPath((prev) => [...prev, dirName]);
};
@@ -443,18 +438,18 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const renderPathNavigation = () => {
return (
<div className="mb-0 flex min-h-[38px] flex-col gap-2 text-base sm:flex-row sm:items-center sm:justify-between">
<div className="mb-0 min-h-[38px] flex flex-col gap-2 text-base sm:flex-row sm:items-center sm:justify-between">
{/* Left side with path navigation */}
<div className="flex w-full items-center sm:w-auto">
<button
className="mr-3 flex h-[29px] w-[29px] items-center justify-center rounded-full border p-2 text-sm font-medium text-gray-400 dark:border-0 dark:bg-[#28292D] dark:text-gray-500 dark:hover:bg-[#2E2F34]"
className="mr-3 flex h-[29px] w-[29px] items-center justify-center rounded-full border p-2 text-sm text-gray-400 dark:border-0 dark:bg-[#28292D] dark:text-gray-500 dark:hover:bg-[#2E2F34] font-medium"
onClick={handleBackNavigation}
>
<img src={ArrowLeft} alt="left-arrow" className="h-3 w-3" />
</button>
<div className="flex flex-wrap items-center">
<span className="font-semibold break-words text-[#7D54D1]">
<span className="text-[#7D54D1] font-semibold break-words">
{sourceName}
</span>
{currentPath.length > 0 && (
@@ -485,7 +480,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
</div>
</div>
<div className="relative mt-2 flex w-full flex-row flex-nowrap items-center justify-end gap-2 sm:mt-0 sm:w-auto">
<div className="flex relative flex-row flex-nowrap items-center gap-2 w-full sm:w-auto justify-end mt-2 sm:mt-0">
{processingRef.current && (
<div className="text-sm text-gray-500">
{currentOpRef.current === 'add'
@@ -494,13 +490,13 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
</div>
)}
{renderFileSearch()}
{renderFileSearch()}
{/* Add file button */}
{!processingRef.current && (
<button
onClick={handleAddFile}
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] font-medium whitespace-nowrap text-white"
className="bg-purple-30 hover:bg-violets-are-blue flex h-[38px] min-w-[108px] items-center justify-center rounded-full px-4 text-[14px] whitespace-nowrap text-white font-medium"
title={t('settings.sources.addFile')}
>
{t('settings.sources.addFile')}
@@ -542,26 +538,32 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const parentRow =
currentPath.length > 0
? [
<TableRow key="parent-dir" onClick={navigateUp}>
<TableCell width="40%" align="left">
<div className="flex items-center">
<img
src={FolderIcon}
alt={t('settings.sources.parentFolderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">..</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
-
</TableCell>
<TableCell width="20%" align="right">
-
</TableCell>
<TableCell width="10%" align="right"></TableCell>
</TableRow>,
]
<tr
key="parent-dir"
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={navigateUp}
>
<td className="px-2 py-2 lg:px-4">
<div className="flex items-center">
<img
src={FolderIcon}
alt={t('settings.sources.parentFolderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate text-sm dark:text-[#E0E0E0]">
..
</span>
</div>
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
-
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4"></td>
</tr>,
]
: [];
// Render directories first, then files
@@ -573,30 +575,36 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const dirStats = calculateDirectoryStats(node as DirectoryStructure);
return (
<TableRow key={itemId} onClick={() => navigateToDirectory(name)}>
<TableCell width="40%" align="left">
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => navigateToDirectory(name)}
>
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FolderIcon}
alt={t('settings.sources.folderAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">{name}</span>
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
{dirStats.totalSize > 0 ? formatBytes(dirStats.totalSize) : '-'}
</TableCell>
<TableCell width="20%" align="right">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalTokens > 0
? dirStats.totalTokens.toLocaleString()
: '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{dirStats.totalSize > 0 ? formatBytes(dirStats.totalSize) : '-'}
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md font-medium transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E]"
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E] font-medium"
aria-label={t('settings.sources.menuAlt')}
>
<img
@@ -616,8 +624,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
}),
...files.map(([name, node]) => {
@@ -625,28 +633,34 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
const menuRef = getMenuRef(itemId);
return (
<TableRow key={itemId} onClick={() => handleFileClick(name)}>
<TableCell width="40%" align="left">
<tr
key={itemId}
className="cursor-pointer border-b border-[#D1D9E0] hover:bg-[#ECEEEF] dark:border-[#6A6A6A] dark:hover:bg-[#27282D]"
onClick={() => handleFileClick(name)}
>
<td className="px-2 py-2 lg:px-4">
<div className="flex min-w-0 items-center">
<img
src={FileIcon}
alt={t('settings.sources.fileAlt')}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="truncate">{name}</span>
<span className="truncate text-sm dark:text-[#E0E0E0]">
{name}
</span>
</div>
</TableCell>
<TableCell width="30%" align="left">
{node.size_bytes ? formatBytes(node.size_bytes) : '-'}
</TableCell>
<TableCell width="20%" align="right">
</td>
<td className="px-2 py-2 text-sm lg:px-4 dark:text-[#E0E0E0]">
{node.token_count?.toLocaleString() || '-'}
</TableCell>
<TableCell width="10%" align="right">
</td>
<td className="px-2 py-2 text-sm md:px-4 dark:text-[#E0E0E0]">
{node.size_bytes ? formatBytes(node.size_bytes) : '-'}
</td>
<td className="w-10 px-2 py-2 text-sm lg:px-4">
<div ref={menuRef} className="relative">
<button
onClick={(e) => handleMenuClick(e, itemId)}
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md font-medium transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E]"
className="inline-flex h-[35px] w-[24px] shrink-0 items-center justify-center rounded-md transition-colors hover:bg-[#EBEBEB] dark:hover:bg-[#26272E] font-medium"
aria-label={t('settings.sources.menuAlt')}
>
<img
@@ -666,8 +680,8 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
offset={{ x: -4, y: 4 }}
/>
</div>
</TableCell>
</TableRow>
</td>
</tr>
);
}),
];
@@ -738,12 +752,14 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
}
}}
placeholder={t('settings.sources.searchFiles')}
className={`h-[38px] w-full border border-[#D1D9E0] px-4 py-2 dark:border-[#6A6A6A] ${searchQuery ? 'rounded-t-[24px]' : 'rounded-[24px]'} bg-transparent focus:outline-none dark:text-[#E0E0E0]`}
className={`w-full h-[38px] border border-[#D1D9E0] px-4 py-2 dark:border-[#6A6A6A]
${searchQuery ? 'rounded-t-[24px]' : 'rounded-[24px]'}
bg-transparent focus:outline-none dark:text-[#E0E0E0]`}
/>
{searchQuery && (
<div className="absolute top-full right-0 left-0 z-10 max-h-[calc(100vh-200px)] w-full overflow-hidden rounded-b-[12px] border border-t-0 border-[#D1D9E0] bg-white shadow-lg transition-all duration-200 dark:border-[#6A6A6A] dark:bg-[#1F2023]">
<div className="max-h-[calc(100vh-200px)] overflow-x-hidden overflow-y-auto overscroll-contain">
<div className="absolute top-full left-0 right-0 z-10 max-h-[calc(100vh-200px)] w-full overflow-hidden rounded-b-[12px] border border-t-0 border-[#D1D9E0] bg-white shadow-lg dark:border-[#6A6A6A] dark:bg-[#1F2023] transition-all duration-200">
<div className="max-h-[calc(100vh-200px)] overflow-y-auto overflow-x-hidden overscroll-contain">
{searchResults.length === 0 ? (
<div className="py-2 text-center text-sm text-gray-500 dark:text-gray-400">
{t('settings.sources.noResults')}
@@ -754,11 +770,10 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
key={index}
onClick={() => handleSearchSelect(result)}
title={result.path}
className={`flex min-w-0 cursor-pointer items-center px-3 py-2 hover:bg-[#ECEEEF] dark:hover:bg-[#27282D] ${
index !== searchResults.length - 1
className={`flex min-w-0 cursor-pointer items-center px-3 py-2 hover:bg-[#ECEEEF] dark:hover:bg-[#27282D] ${index !== searchResults.length - 1
? 'border-b border-[#D1D9E0] dark:border-[#6A6A6A]'
: ''
}`}
}`}
>
<img
src={result.isFile ? FileIcon : FolderIcon}
@@ -769,7 +784,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
}
className="mr-2 h-4 w-4 flex-shrink-0"
/>
<span className="flex-1 truncate text-sm dark:text-[#E0E0E0]">
<span className="text-sm dark:text-[#E0E0E0] truncate flex-1">
{result.path.split('/').pop() || result.path}
</span>
</div>
@@ -819,29 +834,31 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
<div className="mb-2">{renderPathNavigation()}</div>
<div className="w-full">
<TableContainer>
<Table>
<TableHead>
<TableRow>
<TableHeader width="40%" align="left">
<div className="overflow-x-auto rounded-[6px] border border-[#D1D9E0] dark:border-[#6A6A6A]">
<table className="w-full min-w-[600px] table-auto bg-transparent">
<thead className="bg-gray-100 dark:bg-[#27282D]">
<tr className="border-b border-[#D1D9E0] dark:border-[#6A6A6A]">
<th className="min-w-[200px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.fileName')}
</TableHeader>
<TableHeader width="30%" align="left">
{t('settings.sources.size')}
</TableHeader>
<TableHeader width="20%" align="right">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.tokens')}
</TableHeader>
<TableHeader width="10%" align="right">
</th>
<th className="min-w-[80px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
{t('settings.sources.size')}
</th>
<th className="w-[60px] px-2 py-3 text-left text-sm font-medium text-gray-700 lg:px-4 dark:text-[#59636E]">
<span className="sr-only">
{t('settings.sources.actions')}
</span>
</TableHeader>
</TableRow>
</TableHead>
<TableBody>{renderFileTree(currentDirectory)}</TableBody>
</Table>
</TableContainer>
</th>
</tr>
</thead>
<tbody className="[&>tr:last-child]:border-b-0">
{renderFileTree(currentDirectory)}
</tbody>
</table>
</div>
</div>
</div>
)}
@@ -849,9 +866,7 @@ const FileTreeComponent: React.FC<FileTreeComponentProps> = ({
message={
itemToDelete?.isFile
? t('settings.sources.confirmDelete')
: t('settings.sources.deleteDirectoryWarning', {
name: itemToDelete?.name,
})
: t('settings.sources.deleteDirectoryWarning', { name: itemToDelete?.name })
}
modalState={deleteModalState}
setModalState={setDeleteModalState}

View File

@@ -159,7 +159,7 @@ export const FileUpload = ({
e.stopPropagation();
handleRemove();
}}
className="absolute -top-2 -right-2 rounded-full bg-[#7D54D1] p-1 transition-colors hover:bg-[#714cbc]"
className="absolute -right-2 -top-2 rounded-full bg-[#7D54D1] p-1 transition-colors hover:bg-[#714cbc]"
>
<img src={Cross} alt="remove" className="h-3 w-3" />
</button>
@@ -215,7 +215,7 @@ export const FileUpload = ({
<input {...getInputProps()} />
{children || defaultContent}
{errors.length > 0 && (
<div className="absolute right-0 left-0 mt-[2px] px-4 text-xs text-red-600">
<div className="absolute left-0 right-0 mt-[2px] px-4 text-xs text-red-600">
{errors.map((error, i) => (
<p key={i} className="truncate">
{error}

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