diff --git a/application/api/answer/routes.py b/application/api/answer/routes.py index 15feeb3c..89a26b1d 100644 --- a/application/api/answer/routes.py +++ b/application/api/answer/routes.py @@ -1,7 +1,7 @@ import asyncio import os import sys -from flask import Blueprint, request, Response +from flask import Blueprint, request, Response, current_app import json import datetime import logging @@ -126,7 +126,11 @@ def save_conversation(conversation_id, question, response, source_log_docs, llm) "role": "assistant", "content": "Summarise following conversation in no more than 3 " "words, respond ONLY with the summary, use the same " - "language as the system \n\nUser: " + question + "\n\n" + "AI: " + response, + "language as the system \n\nUser: " + + question + + "\n\n" + + "AI: " + + response, }, { "role": "user", @@ -166,7 +170,10 @@ def get_prompt(prompt_id): return prompt -def complete_stream(question, retriever, conversation_id, user_api_key): +def complete_stream( + question, retriever, conversation_id, user_api_key, isNoneDoc=False +): + try: response_full = "" source_log_docs = [] @@ -179,9 +186,17 @@ def complete_stream(question, retriever, conversation_id, user_api_key): elif "source" in line: source_log_docs.append(line["source"]) - llm = LLMCreator.create_llm(settings.LLM_NAME, api_key=settings.API_KEY, user_api_key=user_api_key) + if isNoneDoc: + for doc in source_log_docs: + doc["source"] = "None" + + llm = LLMCreator.create_llm( + settings.LLM_NAME, api_key=settings.API_KEY, user_api_key=user_api_key + ) if user_api_key is None: - conversation_id = save_conversation(conversation_id, question, response_full, source_log_docs, llm) + conversation_id = save_conversation( + conversation_id, question, response_full, source_log_docs, llm + ) # send data.type = "end" to indicate that the stream has ended as json data = json.dumps({"type": "id", "id": str(conversation_id)}) yield f"data: {data}\n\n" @@ -205,7 +220,6 @@ def complete_stream(question, retriever, conversation_id, user_api_key): def stream(): try: data = request.get_json() - # get parameter from url question question = data["question"] if "history" not in data: history = [] @@ -252,10 +266,9 @@ def stream(): source = {} user_api_key = None - """ if source["active_docs"].split("/")[0] == "default" or source["active_docs"].split("/")[0] == "local": - retriever_name = "classic" - else: - retriever_name = source["active_docs"] """ + current_app.logger.info(f"/stream - request_data: {data}, source: {source}", + extra={"data": json.dumps({"request_data": data, "source": source})} + ) prompt = get_prompt(prompt_id) @@ -277,20 +290,23 @@ def stream(): retriever=retriever, conversation_id=conversation_id, user_api_key=user_api_key, + isNoneDoc=data.get("isNoneDoc"), ), mimetype="text/event-stream", ) - except ValueError as err: + except ValueError: message = "Malformed request body" - print("\033[91merr", str(err), file=sys.stderr) + print("\033[91merr", str(message), file=sys.stderr) return Response( error_stream_generate(message), status=400, mimetype="text/event-stream", ) except Exception as e: - print("\033[91merr", str(e), file=sys.stderr) + current_app.logger.error(f"/stream - error: {str(e)} - traceback: {traceback.format_exc()}", + extra={"error": str(e), "traceback": traceback.format_exc()} + ) message = e.args[0] status_code = 400 # # Custom exceptions with two arguments, index 1 as status code @@ -357,6 +373,10 @@ def api_answer(): prompt = get_prompt(prompt_id) + current_app.logger.info(f"/api/answer - request_data: {data}, source: {source}", + extra={"data": json.dumps({"request_data": data, "source": source})} + ) + retriever = RetrieverCreator.create_retriever( retriever_name, question=question, @@ -376,7 +396,13 @@ def api_answer(): elif "answer" in line: response_full += line["answer"] - llm = LLMCreator.create_llm(settings.LLM_NAME, api_key=settings.API_KEY, user_api_key=user_api_key) + if data.get("isNoneDoc"): + for doc in source_log_docs: + doc["source"] = "None" + + llm = LLMCreator.create_llm( + settings.LLM_NAME, api_key=settings.API_KEY, user_api_key=user_api_key + ) result = {"answer": response_full, "sources": source_log_docs} result["conversation_id"] = str( @@ -385,16 +411,15 @@ def api_answer(): return result except Exception as e: - # print whole traceback - traceback.print_exc() - print(str(e)) + current_app.logger.error(f"/api/answer - error: {str(e)} - traceback: {traceback.format_exc()}", + extra={"error": str(e), "traceback": traceback.format_exc()} + ) return bad_request(500, str(e)) @answer.route("/api/search", methods=["POST"]) def api_search(): data = request.get_json() - # get parameter from url question question = data["question"] if "chunks" in data: chunks = int(data["chunks"]) @@ -420,6 +445,10 @@ def api_search(): token_limit = data["token_limit"] else: token_limit = settings.DEFAULT_MAX_HISTORY + + current_app.logger.info(f"/api/answer - request_data: {data}, source: {source}", + extra={"data": json.dumps({"request_data": data, "source": source})} + ) retriever = RetrieverCreator.create_retriever( retriever_name, @@ -433,4 +462,9 @@ def api_search(): user_api_key=user_api_key, ) docs = retriever.search() + + if data.get("isNoneDoc"): + for doc in docs: + doc["source"] = "None" + return docs diff --git a/application/app.py b/application/app.py index fe8efd12..87d9d42f 100644 --- a/application/app.py +++ b/application/app.py @@ -6,12 +6,14 @@ from application.core.settings import settings from application.api.user.routes import user from application.api.answer.routes import answer from application.api.internal.routes import internal +from application.core.logging_config import setup_logging if platform.system() == "Windows": import pathlib pathlib.PosixPath = pathlib.WindowsPath dotenv.load_dotenv() +setup_logging() app = Flask(__name__) app.register_blueprint(user) diff --git a/application/celery_init.py b/application/celery_init.py index c19c2e75..c5838083 100644 --- a/application/celery_init.py +++ b/application/celery_init.py @@ -1,9 +1,15 @@ from celery import Celery from application.core.settings import settings +from celery.signals import setup_logging def make_celery(app_name=__name__): celery = Celery(app_name, broker=settings.CELERY_BROKER_URL, backend=settings.CELERY_RESULT_BACKEND) celery.conf.update(settings) return celery +@setup_logging.connect +def config_loggers(*args, **kwargs): + from application.core.logging_config import setup_logging + setup_logging() + celery = make_celery() diff --git a/application/core/logging_config.py b/application/core/logging_config.py new file mode 100644 index 00000000..e693cb91 --- /dev/null +++ b/application/core/logging_config.py @@ -0,0 +1,22 @@ +from logging.config import dictConfig + +def setup_logging(): + dictConfig({ + 'version': 1, + 'formatters': { + 'default': { + 'format': '[%(asctime)s] %(levelname)s in %(module)s: %(message)s', + } + }, + "handlers": { + "console": { + "class": "logging.StreamHandler", + "stream": "ext://sys.stdout", + "formatter": "default", + } + }, + 'root': { + 'level': 'INFO', + 'handlers': ['console'], + }, + }) \ No newline at end of file diff --git a/application/core/settings.py b/application/core/settings.py index 6ae5475c..e6173be4 100644 --- a/application/core/settings.py +++ b/application/core/settings.py @@ -18,7 +18,7 @@ class Settings(BaseSettings): DEFAULT_MAX_HISTORY: int = 150 MODEL_TOKEN_LIMITS: dict = {"gpt-3.5-turbo": 4096, "claude-2": 1e5} UPLOAD_FOLDER: str = "inputs" - VECTOR_STORE: str = "faiss" # "faiss" or "elasticsearch" or "qdrant" + VECTOR_STORE: str = "faiss" # "faiss" or "elasticsearch" or "qdrant" or "milvus" RETRIEVERS_ENABLED: list = ["classic_rag", "duckduck_search"] # also brave_search API_URL: str = "http://localhost:7091" # backend url for celery worker @@ -29,6 +29,7 @@ class Settings(BaseSettings): OPENAI_API_VERSION: Optional[str] = None # azure openai api version AZURE_DEPLOYMENT_NAME: Optional[str] = None # azure deployment name for answering AZURE_EMBEDDINGS_DEPLOYMENT_NAME: Optional[str] = None # azure deployment name for embeddings + OPENAI_BASE_URL: Optional[str] = None # openai base url for open ai compatable models # elasticsearch ELASTIC_CLOUD_ID: Optional[str] = None # cloud id for elasticsearch @@ -61,6 +62,11 @@ class Settings(BaseSettings): QDRANT_PATH: Optional[str] = None QDRANT_DISTANCE_FUNC: str = "Cosine" + # Milvus vectorstore config + MILVUS_COLLECTION_NAME: Optional[str] = "docsgpt" + MILVUS_URI: Optional[str] = "./milvus_local.db" # milvus lite version as default + MILVUS_TOKEN: Optional[str] = "" + BRAVE_SEARCH_API_KEY: Optional[str] = None FLASK_DEBUG_MODE: bool = False diff --git a/application/llm/openai.py b/application/llm/openai.py index b1574dd1..f85de6ea 100644 --- a/application/llm/openai.py +++ b/application/llm/openai.py @@ -2,25 +2,23 @@ from application.llm.base import BaseLLM from application.core.settings import settings + class OpenAILLM(BaseLLM): def __init__(self, api_key=None, user_api_key=None, *args, **kwargs): - global openai from openai import OpenAI super().__init__(*args, **kwargs) - self.client = OpenAI( - api_key=api_key, - ) + if settings.OPENAI_BASE_URL: + self.client = OpenAI( + api_key=api_key, + base_url=settings.OPENAI_BASE_URL + ) + else: + self.client = OpenAI(api_key=api_key) self.api_key = api_key self.user_api_key = user_api_key - def _get_openai(self): - # Import openai when needed - import openai - - return openai - def _raw_gen( self, baseself, @@ -29,7 +27,7 @@ class OpenAILLM(BaseLLM): stream=False, engine=settings.AZURE_DEPLOYMENT_NAME, **kwargs - ): + ): response = self.client.chat.completions.create( model=model, messages=messages, stream=stream, **kwargs ) @@ -44,7 +42,7 @@ class OpenAILLM(BaseLLM): stream=True, engine=settings.AZURE_DEPLOYMENT_NAME, **kwargs - ): + ): response = self.client.chat.completions.create( model=model, messages=messages, stream=stream, **kwargs ) @@ -73,8 +71,3 @@ class AzureOpenAILLM(OpenAILLM): api_base=settings.OPENAI_API_BASE, deployment_name=settings.AZURE_DEPLOYMENT_NAME, ) - - def _get_openai(self): - openai = super()._get_openai() - - return openai diff --git a/application/parser/file/html_parser.py b/application/parser/file/html_parser.py index 2a74a97a..4d69c870 100644 --- a/application/parser/file/html_parser.py +++ b/application/parser/file/html_parser.py @@ -3,7 +3,6 @@ Contains parser for html files. """ -import re from pathlib import Path from typing import Dict, Union @@ -18,66 +17,8 @@ class HTMLParser(BaseParser): return {} def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, list[str]]: - """Parse file. + from langchain_community.document_loaders import BSHTMLLoader - Returns: - Union[str, List[str]]: a string or a List of strings. - """ - try: - from unstructured.partition.html import partition_html - from unstructured.staging.base import convert_to_isd - from unstructured.cleaners.core import clean - except ImportError: - raise ValueError("unstructured package is required to parse HTML files.") - - # Using the unstructured library to convert the html to isd format - # isd sample : isd = [ - # {"text": "My Title", "type": "Title"}, - # {"text": "My Narrative", "type": "NarrativeText"} - # ] - with open(file, "r", encoding="utf-8") as fp: - elements = partition_html(file=fp) - isd = convert_to_isd(elements) - - # Removing non ascii charactwers from isd_el['text'] - for isd_el in isd: - isd_el['text'] = isd_el['text'].encode("ascii", "ignore").decode() - - # Removing all the \n characters from isd_el['text'] using regex and replace with single space - # Removing all the extra spaces from isd_el['text'] using regex and replace with single space - for isd_el in isd: - isd_el['text'] = re.sub(r'\n', ' ', isd_el['text'], flags=re.MULTILINE | re.DOTALL) - isd_el['text'] = re.sub(r"\s{2,}", " ", isd_el['text'], flags=re.MULTILINE | re.DOTALL) - - # more cleaning: extra_whitespaces, dashes, bullets, trailing_punctuation - for isd_el in isd: - clean(isd_el['text'], extra_whitespace=True, dashes=True, bullets=True, trailing_punctuation=True) - - # Creating a list of all the indexes of isd_el['type'] = 'Title' - title_indexes = [i for i, isd_el in enumerate(isd) if isd_el['type'] == 'Title'] - - # Creating 'Chunks' - List of lists of strings - # each list starting with isd_el['type'] = 'Title' and all the data till the next 'Title' - # Each Chunk can be thought of as an individual set of data, which can be sent to the model - # Where Each Title is grouped together with the data under it - - Chunks = [[]] - final_chunks = list(list()) - - for i, isd_el in enumerate(isd): - if i in title_indexes: - Chunks.append([]) - Chunks[-1].append(isd_el['text']) - - # Removing all the chunks with sum of length of all the strings in the chunk < 25 - # TODO: This value can be an user defined variable - for chunk in Chunks: - # sum of length of all the strings in the chunk - sum = 0 - sum += len(str(chunk)) - if sum < 25: - Chunks.remove(chunk) - else: - # appending all the approved chunks to final_chunks as a single string - final_chunks.append(" ".join([str(item) for item in chunk])) - return final_chunks + loader = BSHTMLLoader(file) + data = loader.load() + return data diff --git a/application/parser/remote/crawler_loader.py b/application/parser/remote/crawler_loader.py index 2a63f284..76325ae6 100644 --- a/application/parser/remote/crawler_loader.py +++ b/application/parser/remote/crawler_loader.py @@ -5,7 +5,7 @@ from application.parser.remote.base import BaseRemote class CrawlerLoader(BaseRemote): def __init__(self, limit=10): - from langchain.document_loaders import WebBaseLoader + from langchain_community.document_loaders import WebBaseLoader self.loader = WebBaseLoader # Initialize the document loader self.limit = limit # Set the limit for the number of pages to scrape diff --git a/application/parser/remote/sitemap_loader.py b/application/parser/remote/sitemap_loader.py index 6e9182c4..8066f4f6 100644 --- a/application/parser/remote/sitemap_loader.py +++ b/application/parser/remote/sitemap_loader.py @@ -5,7 +5,7 @@ from application.parser.remote.base import BaseRemote class SitemapLoader(BaseRemote): def __init__(self, limit=20): - from langchain.document_loaders import WebBaseLoader + from langchain_community.document_loaders import WebBaseLoader self.loader = WebBaseLoader self.limit = limit # Adding limit to control the number of URLs to process diff --git a/application/requirements.txt b/application/requirements.txt index b072885d..d9e9edef 100644 --- a/application/requirements.txt +++ b/application/requirements.txt @@ -1,34 +1,36 @@ -anthropic==0.12.0 -boto3==1.34.6 +anthropic==0.34.0 +boto3==1.34.153 +beautifulsoup4==4.12.3 celery==5.3.6 -dataclasses_json==0.6.3 +dataclasses_json==0.6.7 docx2txt==0.8 -duckduckgo-search==5.3.0 +duckduckgo-search==6.2.6 EbookLib==0.18 -elasticsearch==8.12.0 +elasticsearch==8.14.0 escodegen==1.0.11 esprima==4.0.1 -faiss-cpu==1.7.4 Flask==3.0.1 -gunicorn==22.0.0 +faiss-cpu==1.8.0.post1 +gunicorn==23.0.0 html2text==2020.1.16 javalang==0.13.0 -langchain==0.1.4 -langchain-openai==0.0.5 +langchain==0.2.16 +langchain-community==0.2.16 +langchain-core==0.2.38 +langchain-openai==0.1.23 openapi3_parser==1.1.16 -pandas==2.2.0 -pydantic_settings==2.1.0 -pymongo==4.6.3 +pandas==2.2.2 +pydantic_settings==2.4.0 +pymongo==4.8.0 PyPDF2==3.0.1 python-dotenv==1.0.1 -qdrant-client==1.9.0 +qdrant-client==1.11.0 redis==5.0.1 Requests==2.32.0 retry==0.9.2 sentence-transformers -tiktoken +tiktoken==0.7.0 torch tqdm==4.66.3 -transformers==4.36.2 -unstructured==0.12.2 +transformers==4.44.0 Werkzeug==3.0.3 diff --git a/application/retriever/brave_search.py b/application/retriever/brave_search.py index 70dbbf20..5d1e1566 100644 --- a/application/retriever/brave_search.py +++ b/application/retriever/brave_search.py @@ -2,7 +2,7 @@ import json from application.retriever.base import BaseRetriever from application.core.settings import settings from application.llm.llm_creator import LLMCreator -from application.utils import count_tokens +from application.utils import num_tokens_from_string from langchain_community.tools import BraveSearch @@ -78,7 +78,7 @@ class BraveRetSearch(BaseRetriever): self.chat_history.reverse() for i in self.chat_history: if "prompt" in i and "response" in i: - tokens_batch = count_tokens(i["prompt"]) + count_tokens( + tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string( i["response"] ) if tokens_current_history + tokens_batch < self.token_limit: diff --git a/application/retriever/classic_rag.py b/application/retriever/classic_rag.py index 499a4b7e..3794fd5e 100644 --- a/application/retriever/classic_rag.py +++ b/application/retriever/classic_rag.py @@ -3,7 +3,7 @@ from application.core.settings import settings from application.vectorstore.vector_creator import VectorCreator from application.llm.llm_creator import LLMCreator -from application.utils import count_tokens +from application.utils import num_tokens_from_string class ClassicRAG(BaseRetriever): @@ -82,7 +82,7 @@ class ClassicRAG(BaseRetriever): self.chat_history.reverse() for i in self.chat_history: if "prompt" in i and "response" in i: - tokens_batch = count_tokens(i["prompt"]) + count_tokens( + tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string( i["response"] ) if tokens_current_history + tokens_batch < self.token_limit: diff --git a/application/retriever/duckduck_search.py b/application/retriever/duckduck_search.py index bee74e24..6d2965f5 100644 --- a/application/retriever/duckduck_search.py +++ b/application/retriever/duckduck_search.py @@ -1,7 +1,7 @@ from application.retriever.base import BaseRetriever from application.core.settings import settings from application.llm.llm_creator import LLMCreator -from application.utils import count_tokens +from application.utils import num_tokens_from_string from langchain_community.tools import DuckDuckGoSearchResults from langchain_community.utilities import DuckDuckGoSearchAPIWrapper @@ -95,7 +95,7 @@ class DuckDuckSearch(BaseRetriever): self.chat_history.reverse() for i in self.chat_history: if "prompt" in i and "response" in i: - tokens_batch = count_tokens(i["prompt"]) + count_tokens( + tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string( i["response"] ) if tokens_current_history + tokens_batch < self.token_limit: diff --git a/application/retriever/retriever_creator.py b/application/retriever/retriever_creator.py index ad071401..07be373d 100644 --- a/application/retriever/retriever_creator.py +++ b/application/retriever/retriever_creator.py @@ -5,15 +5,16 @@ from application.retriever.brave_search import BraveRetSearch class RetrieverCreator: - retievers = { + retrievers = { 'classic': ClassicRAG, 'duckduck_search': DuckDuckSearch, - 'brave_search': BraveRetSearch + 'brave_search': BraveRetSearch, + 'default': ClassicRAG } @classmethod def create_retriever(cls, type, *args, **kwargs): - retiever_class = cls.retievers.get(type.lower()) + retiever_class = cls.retrievers.get(type.lower()) if not retiever_class: raise ValueError(f"No retievers class found for type {type}") return retiever_class(*args, **kwargs) \ No newline at end of file diff --git a/application/usage.py b/application/usage.py index 1b26e9d7..aba0ec77 100644 --- a/application/usage.py +++ b/application/usage.py @@ -2,7 +2,7 @@ import sys from pymongo import MongoClient from datetime import datetime from application.core.settings import settings -from application.utils import count_tokens +from application.utils import num_tokens_from_string mongo = MongoClient(settings.MONGO_URI) db = mongo["docsgpt"] @@ -24,9 +24,9 @@ def update_token_usage(user_api_key, token_usage): def gen_token_usage(func): def wrapper(self, model, messages, stream, **kwargs): for message in messages: - self.token_usage["prompt_tokens"] += count_tokens(message["content"]) + self.token_usage["prompt_tokens"] += num_tokens_from_string(message["content"]) result = func(self, model, messages, stream, **kwargs) - self.token_usage["generated_tokens"] += count_tokens(result) + self.token_usage["generated_tokens"] += num_tokens_from_string(result) update_token_usage(self.user_api_key, self.token_usage) return result @@ -36,14 +36,14 @@ def gen_token_usage(func): def stream_token_usage(func): def wrapper(self, model, messages, stream, **kwargs): for message in messages: - self.token_usage["prompt_tokens"] += count_tokens(message["content"]) + self.token_usage["prompt_tokens"] += num_tokens_from_string(message["content"]) batch = [] result = func(self, model, messages, stream, **kwargs) for r in result: batch.append(r) yield r for line in batch: - self.token_usage["generated_tokens"] += count_tokens(line) + self.token_usage["generated_tokens"] += num_tokens_from_string(line) update_token_usage(self.user_api_key, self.token_usage) return wrapper diff --git a/application/utils.py b/application/utils.py index 3d9bf520..70a00ce0 100644 --- a/application/utils.py +++ b/application/utils.py @@ -1,6 +1,22 @@ -from transformers import GPT2TokenizerFast +import tiktoken -tokenizer = GPT2TokenizerFast.from_pretrained('gpt2') -tokenizer.model_max_length = 100000 -def count_tokens(string): - return len(tokenizer(string)['input_ids']) \ No newline at end of file +_encoding = None + +def get_encoding(): + global _encoding + if _encoding is None: + _encoding = tiktoken.get_encoding("cl100k_base") + return _encoding + +def num_tokens_from_string(string: str) -> int: + encoding = get_encoding() + num_tokens = len(encoding.encode(string)) + return num_tokens + +def count_tokens_docs(docs): + docs_content = "" + for doc in docs: + docs_content += doc.page_content + + tokens = num_tokens_from_string(docs_content) + return tokens \ No newline at end of file diff --git a/application/vectorstore/base.py b/application/vectorstore/base.py index 522ef4fa..9c76b89f 100644 --- a/application/vectorstore/base.py +++ b/application/vectorstore/base.py @@ -1,13 +1,30 @@ from abc import ABC, abstractmethod import os -from langchain_community.embeddings import ( - HuggingFaceEmbeddings, - CohereEmbeddings, - HuggingFaceInstructEmbeddings, -) +from sentence_transformers import SentenceTransformer from langchain_openai import OpenAIEmbeddings from application.core.settings import settings +class EmbeddingsWrapper: + def __init__(self, model_name, *args, **kwargs): + self.model = SentenceTransformer(model_name, config_kwargs={'allow_dangerous_deserialization': True}, *args, **kwargs) + self.dimension = self.model.get_sentence_embedding_dimension() + + def embed_query(self, query: str): + return self.model.encode(query).tolist() + + def embed_documents(self, documents: list): + return self.model.encode(documents).tolist() + + def __call__(self, text): + if isinstance(text, str): + return self.embed_query(text) + elif isinstance(text, list): + return self.embed_documents(text) + else: + raise ValueError("Input must be a string or a list of strings") + + + class EmbeddingsSingleton: _instances = {} @@ -23,16 +40,15 @@ class EmbeddingsSingleton: def _create_instance(embeddings_name, *args, **kwargs): embeddings_factory = { "openai_text-embedding-ada-002": OpenAIEmbeddings, - "huggingface_sentence-transformers/all-mpnet-base-v2": HuggingFaceEmbeddings, - "huggingface_sentence-transformers-all-mpnet-base-v2": HuggingFaceEmbeddings, - "huggingface_hkunlp/instructor-large": HuggingFaceInstructEmbeddings, - "cohere_medium": CohereEmbeddings + "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 not in embeddings_factory: - raise ValueError(f"Invalid embeddings_name: {embeddings_name}") - - return embeddings_factory[embeddings_name](*args, **kwargs) + if embeddings_name in embeddings_factory: + return embeddings_factory[embeddings_name](*args, **kwargs) + else: + return EmbeddingsWrapper(embeddings_name, *args, **kwargs) class BaseVectorStore(ABC): def __init__(self): @@ -58,22 +74,14 @@ class BaseVectorStore(ABC): embeddings_name, openai_api_key=embeddings_key ) - elif embeddings_name == "cohere_medium": - embedding_instance = EmbeddingsSingleton.get_instance( - embeddings_name, - cohere_api_key=embeddings_key - ) elif embeddings_name == "huggingface_sentence-transformers/all-mpnet-base-v2": if os.path.exists("./model/all-mpnet-base-v2"): embedding_instance = EmbeddingsSingleton.get_instance( - embeddings_name, - model_name="./model/all-mpnet-base-v2", - model_kwargs={"device": "cpu"} + embeddings_name="./model/all-mpnet-base-v2", ) else: embedding_instance = EmbeddingsSingleton.get_instance( embeddings_name, - model_kwargs={"device": "cpu"} ) else: embedding_instance = EmbeddingsSingleton.get_instance(embeddings_name) diff --git a/application/vectorstore/faiss.py b/application/vectorstore/faiss.py index b504ebf8..a8839cd2 100644 --- a/application/vectorstore/faiss.py +++ b/application/vectorstore/faiss.py @@ -24,7 +24,8 @@ class FaissStore(BaseVectorStore): ) else: self.docsearch = FAISS.load_local( - self.path, embeddings + self.path, embeddings, + allow_dangerous_deserialization=True ) self.assert_embedding_dimensions(embeddings) @@ -47,10 +48,10 @@ class FaissStore(BaseVectorStore): """ if settings.EMBEDDINGS_NAME == "huggingface_sentence-transformers/all-mpnet-base-v2": try: - word_embedding_dimension = embeddings.client[1].word_embedding_dimension + word_embedding_dimension = embeddings.dimension except AttributeError as e: - raise AttributeError("word_embedding_dimension not found in embeddings.client[1]") from e + raise AttributeError("'dimension' attribute not found in embeddings instance. Make sure the embeddings object is properly initialized.") from e docsearch_index_dimension = self.docsearch.index.d if word_embedding_dimension != docsearch_index_dimension: - raise ValueError(f"word_embedding_dimension ({word_embedding_dimension}) " + - f"!= docsearch_index_word_embedding_dimension ({docsearch_index_dimension})") \ No newline at end of file + raise ValueError(f"Embedding dimension mismatch: embeddings.dimension ({word_embedding_dimension}) " + + f"!= docsearch index dimension ({docsearch_index_dimension})") \ No newline at end of file diff --git a/application/vectorstore/milvus.py b/application/vectorstore/milvus.py new file mode 100644 index 00000000..9871991e --- /dev/null +++ b/application/vectorstore/milvus.py @@ -0,0 +1,37 @@ +from typing import List, Optional +from uuid import uuid4 + + +from application.core.settings import settings +from application.vectorstore.base import BaseVectorStore + + +class MilvusStore(BaseVectorStore): + def __init__(self, path: str = "", embeddings_key: str = "embeddings"): + super().__init__() + from langchain_milvus import Milvus + + connection_args = { + "uri": settings.MILVUS_URI, + "token": settings.MILVUS_TOKEN, + } + self._docsearch = Milvus( + embedding_function=self._get_embeddings(settings.EMBEDDINGS_NAME, embeddings_key), + collection_name=settings.MILVUS_COLLECTION_NAME, + connection_args=connection_args, + ) + self._path = path + + def search(self, question, k=2, *args, **kwargs): + return self._docsearch.similarity_search(query=question, k=k, filter={"path": self._path} *args, **kwargs) + + def add_texts(self, texts: List[str], metadatas: Optional[List[dict]], *args, **kwargs): + ids = [str(uuid4()) for _ in range(len(texts))] + + return self._docsearch.add_texts(texts=texts, metadatas=metadatas, ids=ids, *args, **kwargs) + + def save_local(self, *args, **kwargs): + pass + + def delete_index(self, *args, **kwargs): + pass diff --git a/application/vectorstore/vector_creator.py b/application/vectorstore/vector_creator.py index 27b38645..259fa31f 100644 --- a/application/vectorstore/vector_creator.py +++ b/application/vectorstore/vector_creator.py @@ -1,5 +1,6 @@ from application.vectorstore.faiss import FaissStore from application.vectorstore.elasticsearch import ElasticsearchStore +from application.vectorstore.milvus import MilvusStore from application.vectorstore.mongodb import MongoDBVectorStore from application.vectorstore.qdrant import QdrantStore @@ -10,6 +11,7 @@ class VectorCreator: "elasticsearch": ElasticsearchStore, "mongodb": MongoDBVectorStore, "qdrant": QdrantStore, + "milvus": MilvusStore, } @classmethod diff --git a/application/worker.py b/application/worker.py index 40e66431..15603908 100755 --- a/application/worker.py +++ b/application/worker.py @@ -2,8 +2,8 @@ import os import shutil import string import zipfile -import tiktoken from urllib.parse import urljoin +import logging import requests from bson.objectid import ObjectId @@ -14,6 +14,8 @@ from application.parser.remote.remote_creator import RemoteCreator from application.parser.open_ai_func import call_openai_api from application.parser.schema.base import Document from application.parser.token_func import group_split +from application.utils import count_tokens_docs + # Define a function to extract metadata from a given filename. @@ -40,7 +42,7 @@ def extract_zip_recursive(zip_path, extract_to, current_depth=0, max_depth=5): max_depth (int): Maximum allowed depth of recursion to prevent infinite loops. """ if current_depth > max_depth: - print(f"Reached maximum recursion depth of {max_depth}") + logging.warning(f"Reached maximum recursion depth of {max_depth}") return with zipfile.ZipFile(zip_path, "r") as zip_ref: @@ -88,14 +90,13 @@ def ingest_worker(self, directory, formats, name_job, filename, user, retriever= max_tokens = 1250 recursion_depth = 2 full_path = os.path.join(directory, user, name_job) - import sys - print(full_path, file=sys.stderr) + logging.info(f"Ingest file: {full_path}", extra={"user": user, "job": name_job}) # check if API_URL env variable is set file_data = {"name": name_job, "file": filename, "user": user} - response = requests.get(urljoin(settings.API_URL, "/api/download"), params=file_data) - # check if file is in the response - print(response, file=sys.stderr) + response = requests.get( + urljoin(settings.API_URL, "/api/download"), params=file_data + ) file = response.content if not os.path.exists(full_path): @@ -134,7 +135,7 @@ def ingest_worker(self, directory, formats, name_job, filename, user, retriever= if sample: for i in range(min(5, len(raw_docs))): - print(raw_docs[i].text) + logging.info(f"Sample document {i}: {raw_docs[i]}") # get files from outputs/inputs/index.faiss and outputs/inputs/index.pkl # and send them to the server (provide user and name in form) @@ -170,6 +171,7 @@ def remote_worker(self, source_data, name_job, user, loader, directory="temp", r if not os.path.exists(full_path): os.makedirs(full_path) self.update_state(state="PROGRESS", meta={"current": 1}) + logging.info(f"Remote job: {full_path}", extra={"user": user, "job": name_job, source_data: source_data}) remote_loader = RemoteCreator.create_loader(loader) raw_docs = remote_loader.load_data(source_data) @@ -202,23 +204,3 @@ def remote_worker(self, source_data, name_job, user, loader, directory="temp", r shutil.rmtree(full_path) return {"urls": source_data, "name_job": name_job, "user": user, "limited": False} - - -def count_tokens_docs(docs): - # Here we convert the docs list to a string and calculate the number of tokens the string represents. - # docs_content = (" ".join(docs)) - docs_content = "" - for doc in docs: - docs_content += doc.page_content - - tokens, total_price = num_tokens_from_string(string=docs_content, encoding_name="cl100k_base") - # Here we print the number of tokens and the approx user cost with some visually appealing formatting. - return tokens - - -def num_tokens_from_string(string: str, encoding_name: str) -> int: - # Function to convert string to tokens and estimate user cost. - encoding = tiktoken.get_encoding(encoding_name) - num_tokens = len(encoding.encode(string)) - total_price = (num_tokens / 1000) * 0.0004 - return num_tokens, total_price diff --git a/docker-compose-azure.yaml b/docker-compose-azure.yaml index 70a16808..601831e5 100644 --- a/docker-compose-azure.yaml +++ b/docker-compose-azure.yaml @@ -1,5 +1,3 @@ -version: "3.9" - services: frontend: build: ./frontend diff --git a/docker-compose-dev.yaml b/docker-compose-dev.yaml index f68e4e07..8a3e75c4 100644 --- a/docker-compose-dev.yaml +++ b/docker-compose-dev.yaml @@ -1,5 +1,3 @@ -version: "3.9" - 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}, "node_modules/title": { "version": "3.5.3", "resolved": "https://registry.npmjs.org/title/-/title-3.5.3.tgz", @@ -11712,19 +9919,6 @@ "url": "https://github.com/sponsors/sindresorhus" } }, - "node_modules/typescript": { - "version": "5.5.3", - "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.5.3.tgz", - "integrity": "sha512-/hreyEujaB0w76zKo6717l3L0o/qEUtRgdvUBvlkhoWeOVMjMuHNHk0BRBzikzuGDqNmPQbg5ifMEqsHLiIUcQ==", - "peer": true, - "bin": { - "tsc": "bin/tsc", - "tsserver": "bin/tsserver" - }, - "engines": { - "node": ">=14.17" - } - }, "node_modules/unified": { "version": "10.1.2", "resolved": "https://registry.npmjs.org/unified/-/unified-10.1.2.tgz", diff --git a/docs/package.json b/docs/package.json index 3ee23608..e0180069 100644 --- a/docs/package.json +++ b/docs/package.json @@ -7,7 +7,7 @@ "license": "MIT", "dependencies": { "@vercel/analytics": "^1.1.1", - "docsgpt": "^0.3.7", + "docsgpt": "^0.4.1", "next": "^14.1.1", "nextra": "^2.13.2", "nextra-theme-docs": "^2.13.2", diff --git a/docs/pages/Extensions/react-widget.md b/docs/pages/Extensions/react-widget.md index 94e6c23b..1859b558 100644 --- a/docs/pages/Extensions/react-widget.md +++ b/docs/pages/Extensions/react-widget.md @@ -17,25 +17,31 @@ Now, you can use the widget in your component like this : ```jsx ``` -DocsGPTWidget takes 8 **props** with default fallback values: +To tailor the widget to your needs, you can configure the following props in your component: 1. `apiHost` — The URL of your DocsGPT API. -2. `selectDocs` — The documentation source that you want to use for your widget (e.g. `default` or `local/docs1.zip`). +2. `theme` — Allows to select your specific theme (dark or light). 3. `apiKey` — Usually, it's empty. 4. `avatar`: Specifies the URL of the avatar or image representing the chatbot. 5. `title`: Sets the title text displayed in the chatbot interface. 6. `description`: Provides a brief description of the chatbot's purpose or functionality. 7. `heroTitle`: Displays a welcome title when users interact with the chatbot. 8. `heroDescription`: Provide additional introductory text or information about the chatbot's capabilities. +9. `buttonIcon`: Specifies the url of the icon image for the widget. +10. `buttonBg`: Allows to specify the Background color of the widget. +11. `size`: Sets the size of the widget ( small, medium). + ### How to use DocsGPTWidget with [Nextra](https://nextra.site/) (Next.js + MDX) Install your widget as described above and then go to your `pages/` folder and create a new file `_app.js` with the following content: @@ -55,22 +61,30 @@ export default function MyApp({ Component, pageProps }) { ```html - - - - - DocsGPT Widget - - -
- - - - + + + + + HTML + CSS + + + +

This is a simple HTML + CSS template!

+
+ + + + ``` To link the widget to your api and your documents you can pass parameters to the renderDocsGPTWidget('div id', { parameters }). @@ -82,22 +96,24 @@ To link the widget to your api and your documents you can pass parameters to the DocsGPT Widget +
- diff --git a/docs/pages/Guides/How-to-use-different-LLM.mdx b/docs/pages/Guides/How-to-use-different-LLM.mdx index 908ddb28..7df77742 100644 --- a/docs/pages/Guides/How-to-use-different-LLM.mdx +++ b/docs/pages/Guides/How-to-use-different-LLM.mdx @@ -36,6 +36,14 @@ List of latest supported LLMs are https://github.com/arc53/DocsGPT/blob/main/app Visit application/llm and select the file of your selected llm and there you will find the speicifc requirements needed to be filled in order to use it,i.e API key of that llm. +### For OpenAI-Compatible Endpoints: +DocsGPT supports the use of OpenAI-compatible endpoints through base URL substitution. This feature allows you to use alternative AI models or services that implement the OpenAI API interface. + + +Set the OPENAI_BASE_URL in your environment. You can change .env file with OPENAI_BASE_URL with the desired base URL or docker-compose.yml file and add the environment variable to the backend container. + +> Make sure you have the right API_KEY and correct LLM_NAME. + diff --git a/docs/pages/_app.mdx b/docs/pages/_app.mdx index 39c01574..ac2be195 100644 --- a/docs/pages/_app.mdx +++ b/docs/pages/_app.mdx @@ -4,7 +4,7 @@ export default function MyApp({ Component, pageProps }) { return ( <> - + ) } \ No newline at end of file diff --git a/extensions/chrome/package-lock.json b/extensions/chrome/package-lock.json index 4f8145d6..9b16bfc4 100644 --- a/extensions/chrome/package-lock.json +++ b/extensions/chrome/package-lock.json @@ -107,12 +107,12 @@ } }, "node_modules/braces": { - "version": "3.0.2", - "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz", - "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==", + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", + "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==", "dev": true, "dependencies": { - "fill-range": "^7.0.1" + "fill-range": "^7.1.1" }, "engines": { "node": ">=8" @@ -260,9 +260,9 @@ } }, "node_modules/fill-range": { - "version": "7.0.1", - "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz", - "integrity": "sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==", + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz", + "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==", "dev": true, "dependencies": { "to-regex-range": "^5.0.1" @@ -884,12 +884,12 @@ "dev": true }, "braces": { - "version": "3.0.2", - "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz", - "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==", + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", + "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==", "dev": true, "requires": { - "fill-range": "^7.0.1" + "fill-range": "^7.1.1" } }, "camelcase-css": { @@ -1000,9 +1000,9 @@ } }, "fill-range": { - "version": "7.0.1", - "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz", - "integrity": "sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==", + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz", + "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==", "dev": true, "requires": { "to-regex-range": "^5.0.1" diff --git a/extensions/react-widget/README.md b/extensions/react-widget/README.md index b6d5312d..b4159578 100644 --- a/extensions/react-widget/README.md +++ b/extensions/react-widget/README.md @@ -27,15 +27,18 @@ To link the widget to your api and your documents you can pass parameters to the const App = () => { return ; + apiHost="https://your-docsgpt-api.com" + apiKey="" + avatar = "https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png" + title = "Get AI assistance" + description = "DocsGPT's AI Chatbot is here to help" + heroTitle = "Welcome to DocsGPT !" + heroDescription="This chatbot is built with DocsGPT and utilises GenAI, + please review important information using sources." + theme = "dark" + buttonIcon = "https://your-icon" + buttonBg = "#222327" + />; }; ``` @@ -80,15 +83,17 @@ To link the widget to your api and your documents you can pass parameters to the diff --git a/extensions/react-widget/package-lock.json b/extensions/react-widget/package-lock.json index 6b861a0d..610909de 100644 --- a/extensions/react-widget/package-lock.json +++ b/extensions/react-widget/package-lock.json @@ -1,16 +1,15 @@ { "name": "docsgpt", - 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"targets": { - "modern": { - "engines": { - "browsers": "Chrome 80" - } - }, - "legacy": { - "engines": { - "browsers": "> 0.5%, last 2 versions, not dead" - } - } - }, "@parcel/resolver-default": { "packageExports": true }, @@ -31,6 +19,7 @@ }, "scripts": { "build": "parcel build src/main.tsx --public-url ./", + "build:react": "parcel build src/index.ts", "dev": "parcel src/index.html -p 3000", "test": "jest", "lint": "eslint", @@ -39,7 +28,6 @@ }, "dependencies": { "@babel/plugin-transform-flow-strip-types": "^7.23.3", - "@bpmn-io/snarkdown": "^2.2.0", "@parcel/resolver-glob": "^2.12.0", "@parcel/transformer-svg-react": "^2.12.0", "@parcel/transformer-typescript-tsc": "^2.12.0", @@ -51,6 +39,7 @@ "flow-bin": "^0.229.2", "i": "^0.3.7", "install": "^0.13.0", + "markdown-it": "^14.1.0", "npm": "^10.5.0", "react": "^18.2.0", "react-dom": "^18.2.0", @@ -63,6 +52,7 @@ "@parcel/packager-ts": "^2.12.0", "@parcel/transformer-typescript-types": "^2.12.0", "@types/dompurify": "^3.0.5", + "@types/markdown-it": "^14.1.2", "@types/react": "^18.3.3", "@types/react-dom": "^18.3.0", "babel-loader": "^8.0.4", diff --git a/extensions/react-widget/publish.sh b/extensions/react-widget/publish.sh new file mode 100755 index 00000000..c4545d85 --- /dev/null +++ b/extensions/react-widget/publish.sh @@ -0,0 +1,43 @@ +#!/bin/bash +## chmod +x publish.sh - to upgrade ownership +set -e +cat package.json >> package_copy.json +cat package-lock.json >> package-lock_copy.json +publish_package() { + PACKAGE_NAME=$1 + BUILD_COMMAND=$2 + # Update package name in package.json + jq --arg name "$PACKAGE_NAME" '.name=$name' package.json > temp.json && mv temp.json package.json + + # Remove 'target' key if the package name is 'docsgpt-react' + if [ "$PACKAGE_NAME" = "docsgpt-react" ]; then + jq 'del(.targets)' package.json > temp.json && mv temp.json package.json + fi + + if [ -d "dist" ]; then + echo "Deleting existing dist directory..." + rm -rf dist + fi + + npm version patch + + npm run "$BUILD_COMMAND" + + # Publish to npm + npm publish + # Clean up + mv package_copy.json package.json + mv package-lock_copy.json package-lock.json + echo "Published ${PACKAGE_NAME}" +} + +# Publish docsgpt package +publish_package "docsgpt" "build" + +# Publish docsgpt-react package +publish_package "docsgpt-react" "build:react" + + +rm -rf package_copy.json +rm -rf package-lock_copy.json +echo "---Process completed---" \ No newline at end of file diff --git a/extensions/react-widget/src/assets/message.svg b/extensions/react-widget/src/assets/message.svg deleted file mode 100644 index 2a70dcee..00000000 --- a/extensions/react-widget/src/assets/message.svg +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - - \ No newline at end of file diff --git a/extensions/react-widget/src/components/DocsGPTWidget.tsx b/extensions/react-widget/src/components/DocsGPTWidget.tsx index 5b7a0704..bc6adb6e 100644 --- a/extensions/react-widget/src/components/DocsGPTWidget.tsx +++ b/extensions/react-widget/src/components/DocsGPTWidget.tsx @@ -1,13 +1,38 @@ "use client"; import React from 'react' import DOMPurify from 'dompurify'; -import snarkdown from '@bpmn-io/snarkdown'; import styled, { keyframes, createGlobalStyle } from 'styled-components'; import { PaperPlaneIcon, RocketIcon, ExclamationTriangleIcon, Cross2Icon } from '@radix-ui/react-icons'; -import MessageIcon from '../assets/message.svg'; -import { MESSAGE_TYPE, Query, Status } from '../types/index'; +import { MESSAGE_TYPE, Query, Status, WidgetProps } from '../types/index'; import { fetchAnswerStreaming } from '../requests/streamingApi'; - +import { ThemeProvider } from 'styled-components'; +import MarkdownIt from 'markdown-it'; +const themes = { + dark: { + bg: '#222327', + text: '#fff', + primary: { + text: "#FAFAFA", + bg: '#222327' + }, + secondary: { + text: "#A1A1AA", + bg: "#38383b" + } + }, + light: { + bg: '#fff', + text: '#000', + primary: { + text: "#222327", + bg: "#fff" + }, + secondary: { + text: "#A1A1AA", + bg: "#F6F6F6" + } + } +} const GlobalStyles = createGlobalStyle` .response pre { padding: 8px; @@ -16,6 +41,7 @@ const GlobalStyles = createGlobalStyle` border-radius: 6px; overflow-x: auto; background-color: #1B1C1F; + color: #fff !important; } .response h1{ font-size: 20px; @@ -26,40 +52,60 @@ const GlobalStyles = createGlobalStyle` .response h3{ font-size: 16px; } +.response p{ + margin:0px; +} .response code:not(pre code){ border-radius: 6px; padding: 1px 3px 1px 3px; font-size: 12px; display: inline-block; background-color: #646464; + color: #fff !important; } `; -const WidgetContainer = styled.div` +const Overlay = styled.div` + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + background-color: rgba(0, 0, 0, 0.5); + z-index: 999; + transition: opacity 0.5s; +` +const WidgetContainer = styled.div<{ modal: boolean }>` display: block; position: fixed; - right: 10px; - bottom: 10px; + right: ${props => props.modal ? '50%' : '10px'}; + bottom: ${props => props.modal ? '50%' : '10px'}; z-index: 1000; display: flex; + ${props => props.modal && + "transform : translate(50%,50%);" + } flex-direction: column; align-items: center; text-align: left; + @media only screen and (max-width: 768px) { + max-height: 100vh !important; + overflow: auto; + } `; const StyledContainer = styled.div` - display: block; + display: flex; position: relative; + flex-direction: column; + justify-content: center; bottom: 0; left: 0; - width: 352px; - height: 407px; - max-height: 407px; border-radius: 0.75rem; - background-color: #222327; + background-color: ${props => props.theme.primary.bg}; font-family: sans-serif; box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05), 0 2px 4px rgba(0, 0, 0, 0.1); transition: visibility 0.3s, opacity 0.3s; `; -const FloatingButton = styled.div` +const FloatingButton = styled.div<{ bgcolor: string }>` position: fixed; display: flex; z-index: 500; @@ -70,7 +116,7 @@ const FloatingButton = styled.div` width: 5rem; height: 5rem; border-radius: 9999px; - background-image: linear-gradient(to bottom right, #5AF0EC, #E80D9D); + background: ${props => props.bgcolor}; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); cursor: pointer; &:hover { @@ -120,24 +166,34 @@ const ContentWrapper = styled.div` const Title = styled.h3` font-size: 1rem; font-weight: normal; - color: #FAFAFA; + color: ${props => props.theme.primary.text}; margin-top: 0; margin-bottom: 0.25rem; `; const Description = styled.p` font-size: 0.85rem; - color: #A1A1AA; + color: ${props => props.theme.secondary.text}; margin-top: 0; `; -const Conversation = styled.div` - height: 16rem; + +const Conversation = styled.div<{ size: string }>` + min-height: 250px; + max-width: 968px; + height: ${props => props.size === 'large' ? '75vh' : props.size === 'medium' ? '70vh' : '320px'}; + width: ${props => props.size === 'large' ? '60vw' : props.size === 'medium' ? '28vw' : '400px'}; padding-inline: 0.5rem; border-radius: 0.375rem; text-align: left; overflow-y: auto; scrollbar-width: thin; scrollbar-color: #4a4a4a transparent; /* thumb color track color */ + @media only screen and (max-width: 768px) { + width: 90vw !important; + } + @media only screen and (min-width:768px ) and (max-width: 1280px) { + width:${props => props.size === 'large' ? '90vw' : props.size === 'medium' ? '60vw' : '400px'} !important; + } `; const MessageBubble = styled.div<{ type: MESSAGE_TYPE }>` @@ -146,13 +202,13 @@ const MessageBubble = styled.div<{ type: MESSAGE_TYPE }>` justify-content: ${props => props.type === 'QUESTION' ? 'flex-end' : 'flex-start'}; margin: 0.5rem; `; -const Message = styled.p<{ type: MESSAGE_TYPE }>` +const Message = styled.div<{ type: MESSAGE_TYPE }>` background: ${props => props.type === 'QUESTION' ? 'linear-gradient(to bottom right, #8860DB, #6D42C5)' : - '#38383b'}; - color: #ffff; + props.theme.secondary.bg}; + color: ${props => props.type === 'ANSWER' ? props.theme.primary.text : '#fff'}; border: none; - max-width: 80%; + max-width: ${props => props.type === 'ANSWER' ? '100%' : '80'}; overflow: auto; margin: 4px; display: block; @@ -190,35 +246,31 @@ const DotAnimation = styled.div` const Delay = styled(DotAnimation) <{ delay: number }>` animation-delay: ${props => props.delay + 'ms'}; `; -const PromptContainer = styled.form` +const PromptContainer = styled.form<{ size: string }>` background-color: transparent; - height: 36px; - position: absolute; - bottom: 25px; - left: 24px; - right: 24px; + height: ${props => props.size == 'large' ? '60px' : '40px'}; + margin: 16px; display: flex; justify-content: space-evenly; `; const StyledInput = styled.input` - width: 260px; - height: 36px; + width: 100%; border: 1px solid #686877; padding-left: 12px; background-color: transparent; font-size: 16px; border-radius: 6px; - color: #ffff; + color: ${props => props.theme.text}; outline: none; `; -const StyledButton = styled.button` +const StyledButton = styled.button<{ size: string }>` display: flex; justify-content: center; align-items: center; background-image: linear-gradient(to bottom right, #5AF0EC, #E80D9D); border-radius: 6px; - width: 36px; - height: 36px; + min-width: ${props => props.size === 'large' ? '60px' : '36px'}; + height: ${props => props.size === 'large' ? '60px' : '36px'}; margin-left:8px; padding: 0px; border: none; @@ -239,13 +291,14 @@ const HeroContainer = styled.div` align-items: middle; transform: translate(-50%, -50%); width: 80%; + max-width: 500px; background-image: linear-gradient(to bottom right, #5AF0EC, #ff1bf4); border-radius: 10px; margin: 0 auto; padding: 2px; `; const HeroWrapper = styled.div` - background-color: #222327; + background-color: ${props => props.theme.primary.bg}; border-radius: 10px; font-weight: normal; padding: 6px; @@ -253,23 +306,22 @@ const HeroWrapper = styled.div` justify-content: space-between; ` const HeroTitle = styled.h3` - color: #fff; - font-size: 17px; + color: ${props => props.theme.text}; margin-bottom: 5px; padding: 2px; `; const HeroDescription = styled.p` - color: #fff; + color: ${props => props.theme.text}; font-size: 14px; line-height: 1.5; `; -const Hero = ({ title, description }: { title: string, description: string }) => { +const Hero = ({ title, description, theme }: { title: string, description: string, theme: string }) => { return ( <> - - + +
{title} @@ -284,15 +336,17 @@ const Hero = ({ title, description }: { title: string, description: string }) => }; export const DocsGPTWidget = ({ apiHost = 'https://gptcloud.arc53.com', - selectDocs = 'default', apiKey = '82962c9a-aa77-4152-94e5-a4f84fd44c6a', avatar = 'https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png', title = 'Get AI assistance', description = 'DocsGPT\'s AI Chatbot is here to help', heroTitle = 'Welcome to DocsGPT !', - heroDescription = 'This chatbot is built with DocsGPT and utilises GenAI, please review important information using sources.' -}) => { - + heroDescription = 'This chatbot is built with DocsGPT and utilises GenAI, please review important information using sources.', + size = 'small', + theme = 'dark', + buttonIcon = 'https://d3dg1063dc54p9.cloudfront.net/widget/message.svg', + buttonBg = 'linear-gradient(to bottom right, #5AF0EC, #E80D9D)' +}: WidgetProps) => { const [prompt, setPrompt] = React.useState(''); const [status, setStatus] = React.useState('idle'); const [queries, setQueries] = React.useState([]) @@ -300,6 +354,8 @@ export const DocsGPTWidget = ({ const [open, setOpen] = React.useState(false) const [eventInterrupt, setEventInterrupt] = React.useState(false); //click or scroll by user while autoScrolling const endMessageRef = React.useRef(null); + const md = new MarkdownIt(); + const handleUserInterrupt = () => { (status === 'loading') && setEventInterrupt(true); } @@ -316,7 +372,6 @@ export const DocsGPTWidget = ({ const lastChild = element?.children?.[element.children.length - 1] lastChild && scrollToBottom(lastChild) }; - React.useEffect(() => { !eventInterrupt && scrollToBottom(endMessageRef.current); }, [queries.length, queries[queries.length - 1]?.response]); @@ -329,19 +384,24 @@ export const DocsGPTWidget = ({ question: question, apiKey: apiKey, apiHost: apiHost, - selectedDocs: selectDocs, history: queries, conversationId: conversationId, onEvent: (event: MessageEvent) => { const data = JSON.parse(event.data); // check if the 'end' event has been received if (data.type === 'end') { - // set status to 'idle' setStatus('idle'); - - } else if (data.type === 'id') { + } + else if (data.type === 'id') { setConversationId(data.id) - } else { + } + else if (data.type === 'error') { + const updatedQueries = [...queries]; + updatedQueries[updatedQueries.length - 1].error = data.error; + setQueries(updatedQueries); + setStatus('idle') + } + else { const result = data.answer; const streamingResponse = queries[queries.length - 1].response ? queries[queries.length - 1].response : ''; const updatedQueries = [...queries]; @@ -353,7 +413,7 @@ export const DocsGPTWidget = ({ ); } catch (error) { const updatedQueries = [...queries]; - updatedQueries[updatedQueries.length - 1].error = 'error' + updatedQueries[updatedQueries.length - 1].error = 'Something went wrong !' setQueries(updatedQueries); setStatus('idle') //setEventInterrupt(false) @@ -372,16 +432,21 @@ export const DocsGPTWidget = ({ event.currentTarget.src = "https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png"; }; return ( - <> - + + {open && size === 'large' && + { + setOpen(false) + }} /> + } + setOpen(!open)} hidden={open}> + + + - {!open && setOpen(true)} hidden={open}> - - } {open &&
setOpen(false)}> - +
@@ -393,7 +458,7 @@ export const DocsGPTWidget = ({
- + { queries.length > 0 ? queries?.map((query, index) => { return ( @@ -413,7 +478,10 @@ export const DocsGPTWidget = ({ type='ANSWER' ref={(index === queries.length - 1) ? endMessageRef : null} > -
+
:
@@ -424,7 +492,7 @@ export const DocsGPTWidget = ({
Network Error
- Something went wrong ! + {query.error}
: @@ -439,22 +507,23 @@ export const DocsGPTWidget = ({ } ) }) - : + : } - setPrompt(event.target.value)} type='text' placeholder="What do you want to do?" /> } - + ) } \ No newline at end of file diff --git a/extensions/react-widget/src/main.tsx b/extensions/react-widget/src/main.tsx index 1342df12..4fb3bbb4 100644 --- a/extensions/react-widget/src/main.tsx +++ b/extensions/react-widget/src/main.tsx @@ -2,10 +2,11 @@ import React from 'react'; import { createRoot } from 'react-dom/client'; import { DocsGPTWidget } from './components/DocsGPTWidget'; -const renderWidget = (elementId: string, props = {}) => { - const root = createRoot(document.getElementById(elementId) as HTMLElement); - root.render(); -}; - -(window as any).renderDocsGPTWidget = renderWidget; +if (typeof window !== 'undefined') { + const renderWidget = (elementId: string, props = {}) => { + const root = createRoot(document.getElementById(elementId) as HTMLElement); + root.render(); + }; + (window as any).renderDocsGPTWidget = renderWidget; +} export { DocsGPTWidget }; \ No newline at end of file diff --git a/extensions/react-widget/src/requests/streamingApi.ts b/extensions/react-widget/src/requests/streamingApi.ts index a0a671de..b594915f 100644 --- a/extensions/react-widget/src/requests/streamingApi.ts +++ b/extensions/react-widget/src/requests/streamingApi.ts @@ -1,92 +1,83 @@ interface HistoryItem { - prompt: string; - response?: string; - } + prompt: string; + response?: string; +} interface FetchAnswerStreamingProps { - question?: string; - apiKey?: string; - selectedDocs?: string; - history?: HistoryItem[]; - conversationId?: string | null; - apiHost?: string; - onEvent?: (event: MessageEvent) => void; - } + question?: string; + apiKey?: string; + selectedDocs?: string; + history?: HistoryItem[]; + conversationId?: string | null; + apiHost?: string; + onEvent?: (event: MessageEvent) => void; +} export function fetchAnswerStreaming({ - question = '', - apiKey = '', - selectedDocs = '', - history = [], - conversationId = null, - apiHost = '', - onEvent = () => {console.log("Event triggered, but no handler provided.");} - }: FetchAnswerStreamingProps): Promise { - let docPath = 'default'; - if (selectedDocs) { - docPath = selectedDocs; - } - - return new Promise((resolve, reject) => { - const body = { - question: question, - api_key: apiKey, - embeddings_key: apiKey, - active_docs: docPath, - history: JSON.stringify(history), - conversation_id: conversationId, - model: 'default' - }; - - fetch(apiHost + '/stream', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - body: JSON.stringify(body), - }) - .then((response) => { - if (!response.body) throw Error('No response body'); - - const reader = response.body.getReader(); - const decoder = new TextDecoder('utf-8'); - let counterrr = 0; - const processStream = ({ - done, - value, - }: ReadableStreamReadResult) => { - if (done) { - resolve(); - return; + question = '', + apiKey = '', + history = [], + conversationId = null, + apiHost = '', + onEvent = () => { console.log("Event triggered, but no handler provided."); } +}: FetchAnswerStreamingProps): Promise { + return new Promise((resolve, reject) => { + const body= { + question: question, + history: JSON.stringify(history), + conversation_id: conversationId, + model: 'default', + api_key:apiKey + }; + fetch(apiHost + '/stream', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify(body), + }) + .then((response) => { + if (!response.body) throw Error('No response body'); + + const reader = response.body.getReader(); + const decoder = new TextDecoder('utf-8'); + let counterrr = 0; + const processStream = ({ + done, + value, + }: ReadableStreamReadResult) => { + if (done) { + resolve(); + return; + } + + counterrr += 1; + + const chunk = decoder.decode(value); + + const lines = chunk.split('\n'); + + for (let line of lines) { + if (line.trim() == '') { + continue; } - - counterrr += 1; - - const chunk = decoder.decode(value); - - const lines = chunk.split('\n'); - - for (let line of lines) { - if (line.trim() == '') { - continue; - } - if (line.startsWith('data:')) { - line = line.substring(5); - } - - const messageEvent = new MessageEvent('message', { - data: line, - }); - - onEvent(messageEvent); // handle each message + if (line.startsWith('data:')) { + line = line.substring(5); } - - reader.read().then(processStream).catch(reject); - }; - + + const messageEvent = new MessageEvent('message', { + data: line, + }); + + onEvent(messageEvent); // handle each message + } + reader.read().then(processStream).catch(reject); - }) - .catch((error) => { - console.error('Connection failed:', error); - reject(error); - }); - }); - } \ No newline at end of file + }; + + reader.read().then(processStream).catch(reject); + }) + .catch((error) => { + console.error('Connection failed:', error); + reject(error); + }); + }); +} \ No newline at end of file diff --git a/extensions/react-widget/src/types/index.ts b/extensions/react-widget/src/types/index.ts index 4887bba8..cb46f06b 100644 --- a/extensions/react-widget/src/types/index.ts +++ b/extensions/react-widget/src/types/index.ts @@ -1,7 +1,7 @@ export type MESSAGE_TYPE = 'QUESTION' | 'ANSWER' | 'ERROR'; export type Status = 'idle' | 'loading' | 'failed'; export type FEEDBACK = 'LIKE' | 'DISLIKE'; - +export type THEME = 'light' | 'dark'; export interface Query { prompt: string; response?: string; @@ -10,4 +10,17 @@ export interface Query { sources?: { title: string; text: string }[]; conversationId?: string | null; title?: string | null; +} +export interface WidgetProps { + apiHost?: string; + apiKey?: string; + avatar?: string; + title?: string; + description?: string; + heroTitle?: string; + heroDescription?: string; + size?: 'small' | 'medium' | 'large'; + theme?:THEME, + buttonIcon?:string; + buttonBg?:string; } \ No newline at end of file diff --git a/frontend/package-lock.json b/frontend/package-lock.json index e89a334c..0f7675fa 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -10,45 +10,45 @@ "dependencies": { "@reduxjs/toolkit": "^1.9.2", "@vercel/analytics": "^0.1.10", - "i18next": "^23.11.5", + "i18next": "^23.14.0", "i18next-browser-languagedetector": "^8.0.0", "prop-types": "^15.8.1", "react": "^18.2.0", "react-copy-to-clipboard": "^5.1.0", - "react-dom": "^18.2.0", + "react-dom": "^18.3.1", "react-dropzone": "^14.2.3", - "react-i18next": "^14.1.2", - "react-markdown": "^8.0.7", + "react-i18next": "^15.0.1", + "react-markdown": "^9.0.1", "react-redux": "^8.0.5", "react-router-dom": "^6.8.1", "react-syntax-highlighter": "^15.5.0", - "remark-gfm": "^3.0.0" + "remark-gfm": "^4.0.0" }, "devDependencies": { "@types/react": "^18.0.27", - "@types/react-dom": "^18.0.10", + "@types/react-dom": "^18.3.0", "@types/react-syntax-highlighter": "^15.5.6", "@typescript-eslint/eslint-plugin": "^5.51.0", - "@typescript-eslint/parser": "^5.51.0", - "@vitejs/plugin-react": "^4.2.1", + "@typescript-eslint/parser": "^5.62.0", + "@vitejs/plugin-react": "^4.3.1", "autoprefixer": "^10.4.13", "eslint": "^8.33.0", "eslint-config-prettier": "^8.6.0", "eslint-config-standard-with-typescript": "^34.0.0", "eslint-plugin-import": "^2.27.5", - "eslint-plugin-n": "^15.6.1", - "eslint-plugin-prettier": "^4.2.1", - "eslint-plugin-promise": "^6.1.1", - "eslint-plugin-react": "^7.32.2", + "eslint-plugin-n": "^15.7.0", + "eslint-plugin-prettier": "^5.2.1", + "eslint-plugin-promise": "^6.6.0", + "eslint-plugin-react": "^7.35.0", "eslint-plugin-unused-imports": "^2.0.0", "husky": "^8.0.0", - "lint-staged": "^13.1.1", - "postcss": "^8.4.31", - "prettier": "^2.8.4", + "lint-staged": "^15.2.8", + "postcss": "^8.4.41", + "prettier": "^3.3.3", "prettier-plugin-tailwindcss": "^0.2.2", "tailwindcss": "^3.2.4", "typescript": "^4.9.5", - "vite": "^5.0.13", + "vite": "^5.3.5", "vite-plugin-svgr": "^4.2.0" } }, @@ -66,43 +66,43 @@ } }, 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"is-fullwidth-code-point": "^3.0.0", - "strip-ansi": "^6.0.1" + "node": ">=12" }, - "engines": { - "node": ">=8" + "funding": { + "url": "https://github.com/chalk/strip-ansi?sponsor=1" } }, "node_modules/wrappy": { diff --git a/frontend/package.json b/frontend/package.json index 5edec918..e45fbd36 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -21,45 +21,45 @@ "dependencies": { "@reduxjs/toolkit": "^1.9.2", "@vercel/analytics": "^0.1.10", - "i18next": "^23.11.5", + "i18next": "^23.14.0", "i18next-browser-languagedetector": "^8.0.0", "prop-types": "^15.8.1", "react": "^18.2.0", "react-copy-to-clipboard": "^5.1.0", - "react-dom": "^18.2.0", + "react-dom": "^18.3.1", "react-dropzone": "^14.2.3", - "react-i18next": "^14.1.2", - "react-markdown": "^8.0.7", + "react-i18next": "^15.0.1", + "react-markdown": "^9.0.1", "react-redux": "^8.0.5", "react-router-dom": "^6.8.1", "react-syntax-highlighter": "^15.5.0", - "remark-gfm": "^3.0.0" + "remark-gfm": "^4.0.0" }, "devDependencies": { "@types/react": "^18.0.27", - "@types/react-dom": "^18.0.10", + "@types/react-dom": "^18.3.0", "@types/react-syntax-highlighter": "^15.5.6", "@typescript-eslint/eslint-plugin": "^5.51.0", - "@typescript-eslint/parser": "^5.51.0", - "@vitejs/plugin-react": "^4.2.1", + "@typescript-eslint/parser": "^5.62.0", + "@vitejs/plugin-react": "^4.3.1", "autoprefixer": "^10.4.13", "eslint": "^8.33.0", "eslint-config-prettier": "^8.6.0", "eslint-config-standard-with-typescript": "^34.0.0", "eslint-plugin-import": "^2.27.5", - "eslint-plugin-n": "^15.6.1", - "eslint-plugin-prettier": "^4.2.1", - "eslint-plugin-promise": "^6.1.1", - "eslint-plugin-react": "^7.32.2", + "eslint-plugin-n": "^15.7.0", + "eslint-plugin-prettier": "^5.2.1", + "eslint-plugin-promise": "^6.6.0", + "eslint-plugin-react": "^7.35.0", "eslint-plugin-unused-imports": "^2.0.0", "husky": "^8.0.0", - "lint-staged": "^13.1.1", - "postcss": "^8.4.31", - "prettier": "^2.8.4", + "lint-staged": "^15.2.8", + "postcss": "^8.4.41", + "prettier": "^3.3.3", "prettier-plugin-tailwindcss": "^0.2.2", "tailwindcss": "^3.2.4", "typescript": "^4.9.5", - "vite": "^5.0.13", + "vite": "^5.3.5", "vite-plugin-svgr": "^4.2.0" } } diff --git a/frontend/src/Hero.tsx b/frontend/src/Hero.tsx index b74d22f2..8a3d17c8 100644 --- a/frontend/src/Hero.tsx +++ b/frontend/src/Hero.tsx @@ -19,7 +19,7 @@ export default function Hero({ }>; return (
diff --git a/frontend/src/Navigation.tsx b/frontend/src/Navigation.tsx index 4a617970..dbb3d4e6 100644 --- a/frontend/src/Navigation.tsx +++ b/frontend/src/Navigation.tsx @@ -22,6 +22,7 @@ import { } from './conversation/conversationSlice'; import ConversationTile from './conversation/ConversationTile'; import { useDarkTheme, useMediaQuery, useOutsideAlerter } from './hooks'; +import useDefaultDocument from './hooks/useDefaultDocument'; import DeleteConvModal from './modals/DeleteConvModal'; import { ActiveState, Doc } from './models/misc'; import APIKeyModal from './preferences/APIKeyModal'; @@ -39,7 +40,6 @@ import { setSelectedDocs, setSourceDocs, } from './preferences/preferenceSlice'; -import SelectDocsModal from './preferences/SelectDocsModal'; import Upload from './upload/Upload'; interface NavigationProps { @@ -172,16 +172,12 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { console.error(err); }); } - useOutsideAlerter( - navRef, - () => { - if (isMobile && navOpen && apiKeyModalState === 'INACTIVE') { - setNavOpen(false); - setIsDocsListOpen(false); - } - }, - [navOpen, isDocsListOpen, apiKeyModalState], - ); + useOutsideAlerter(navRef, () => { + if (isMobile && navOpen && apiKeyModalState === 'INACTIVE') { + setNavOpen(false); + setIsDocsListOpen(false); + } + }, [navOpen, isDocsListOpen, apiKeyModalState]); /* Needed to fix bug where if mobile nav was closed and then window was resized to desktop, nav would still be closed but the button to open would be gone, as per #1 on issue #146 @@ -190,6 +186,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { useEffect(() => { setNavOpen(!isMobile); }, [isMobile]); + useDefaultDocument(); return ( <> {!navOpen && ( @@ -396,12 +393,6 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { />
- - + + diff --git a/frontend/src/assets/sources.svg b/frontend/src/assets/sources.svg new file mode 100644 index 00000000..4bb7d30b --- /dev/null +++ b/frontend/src/assets/sources.svg @@ -0,0 +1,25 @@ + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/src/components/Dropdown.tsx b/frontend/src/components/Dropdown.tsx index 0353a191..660b0c94 100644 --- a/frontend/src/components/Dropdown.tsx +++ b/frontend/src/components/Dropdown.tsx @@ -92,18 +92,14 @@ function Dropdown({ {selectedValue && 'label' in selectedValue ? selectedValue.label : selectedValue && 'description' in selectedValue - ? `${ - selectedValue.value < 1e9 - ? selectedValue.value + ` (${selectedValue.description})` - : selectedValue.description - }` - : selectedValue && - 'name' in selectedValue && - 'id' in selectedValue - ? `${selectedValue.name}` - : placeholder - ? placeholder - : 'From URL'} + ? `${ + selectedValue.value < 1e9 + ? selectedValue.value + ` (${selectedValue.description})` + : selectedValue.description + }` + : placeholder + ? placeholder + : 'From URL'} )} {showEdit && onEdit && ( void; + children: React.ReactNode; +}; + +export default function Sidebar({ + isOpen, + toggleState, + children, +}: SidebarProps) { + const sidebarRef = React.useRef(null); + + const handleClickOutside = (event: MouseEvent) => { + if ( + sidebarRef.current && + !sidebarRef.current.contains(event.target as Node) + ) { + toggleState(false); + } + }; + + React.useEffect(() => { + document.addEventListener('mousedown', handleClickOutside); + return () => { + document.removeEventListener('mousedown', handleClickOutside); + }; + }, []); + return ( +
+
+
+ +
+
+ {children} +
+
+
+ ); +} diff --git a/frontend/src/conversation/Conversation.tsx b/frontend/src/conversation/Conversation.tsx index b457dab5..01b8a2de 100644 --- a/frontend/src/conversation/Conversation.tsx +++ b/frontend/src/conversation/Conversation.tsx @@ -1,4 +1,4 @@ -import React, { Fragment, useEffect, useRef, useState } from 'react'; +import { Fragment, useEffect, useRef, useState } from 'react'; import { useTranslation } from 'react-i18next'; import { useDispatch, useSelector } from 'react-redux'; @@ -30,7 +30,7 @@ export default function Conversation() { const status = useSelector(selectStatus); const conversationId = useSelector(selectConversationId); const dispatch = useDispatch(); - const endMessageRef = useRef(null); + const conversationRef = useRef(null); const inputRef = useRef(null); const [isDarkTheme] = useDarkTheme(); const [hasScrolledToLast, setHasScrolledToLast] = useState(true); @@ -55,32 +55,8 @@ export default function Conversation() { }, []); useEffect(() => { - return () => { - if (status !== 'idle') { - fetchStream.current && fetchStream.current.abort(); //abort previous stream - } - }; - }, [status]); - - useEffect(() => { - const observerCallback: IntersectionObserverCallback = (entries) => { - entries.forEach((entry) => { - setHasScrolledToLast(entry.isIntersecting); - }); - }; - - const observer = new IntersectionObserver(observerCallback, { - root: null, - threshold: [1, 0.8], - }); - if (endMessageRef.current) { - observer.observe(endMessageRef.current); - } - - return () => { - observer.disconnect(); - }; - }, [endMessageRef.current]); + fetchStream.current && fetchStream.current.abort(); + }, [conversationId]); useEffect(() => { if (queries.length) { @@ -90,10 +66,16 @@ export default function Conversation() { }, [queries[queries.length - 1]]); const scrollIntoView = () => { - endMessageRef?.current?.scrollIntoView({ - behavior: 'smooth', - block: 'start', - }); + if (!conversationRef?.current || eventInterrupt) return; + + if (status === 'idle' || !queries[queries.length - 1].response) { + conversationRef.current.scrollTo({ + behavior: 'smooth', + top: conversationRef.current.scrollHeight, + }); + } else { + conversationRef.current.scrollTop = conversationRef.current.scrollHeight; + } }; const handleQuestion = ({ @@ -147,7 +129,6 @@ export default function Conversation() { if (query.response) { responseView = ( +
{conversationId && ( <>