chore: update README and refactor ConnectorService for improved document handling and error management

This commit is contained in:
DESKTOP-RTLN3BA\$punk 2025-04-27 20:39:17 -07:00
parent 1309f9e262
commit a971bb1f72
4 changed files with 399 additions and 303 deletions

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@ -110,7 +110,6 @@ See pyproject.toml for detailed dependency information. Key dependencies include
- fastapi and related packages
- fastapi-users: Authentication and user management
- firecrawl-py: Web crawling capabilities
- gpt-researcher: Advanced research capabilities
- langchain components for AI workflows
- litellm: LLM model integration
- pgvector: Vector similarity search in PostgreSQL

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@ -143,7 +143,8 @@ async def fetch_relevant_documents(
connectors_to_search: List[str],
writer: StreamWriter = None,
state: State = None,
top_k: int = 10
top_k: int = 10,
connector_service: ConnectorService = None
) -> List[Dict[str, Any]]:
"""
Fetch relevant documents for research questions using the provided connectors.
@ -162,7 +163,7 @@ async def fetch_relevant_documents(
List of relevant documents
"""
# Initialize services
connector_service = ConnectorService(db_session)
# connector_service = ConnectorService(db_session)
# Only use streaming if both writer and state are provided
streaming_service = state.streaming_service if state is not None else None
@ -494,10 +495,12 @@ async def process_sections(state: State, config: RunnableConfig, writer: StreamW
elif configuration.num_sections == 6:
TOP_K = 30
relevant_documents = []
async with async_session_maker() as db_session:
try:
# Create connector service inside the db_session scope
connector_service = ConnectorService(db_session)
relevant_documents = await fetch_relevant_documents(
research_questions=all_questions,
user_id=configuration.user_id,
@ -506,7 +509,8 @@ async def process_sections(state: State, config: RunnableConfig, writer: StreamW
connectors_to_search=configuration.connectors_to_search,
writer=writer,
state=state,
top_k=TOP_K
top_k=TOP_K,
connector_service=connector_service
)
except Exception as e:
error_message = f"Error fetching relevant documents: {str(e)}"

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@ -102,7 +102,7 @@ async def write_sub_section(state: State, config: RunnableConfig) -> Dict[str, A
# Extract content and metadata
content = doc.get("content", "")
doc_info = doc.get("document", {})
document_id = doc_info.get("id", f"{i+1}") # Use document ID or index+1 as source_id
document_id = doc_info.get("id") # Use document ID
# Format document according to the citation system prompt's expected format
formatted_doc = f"""

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@ -1,5 +1,6 @@
import json
from typing import List, Dict, Any, Optional, Tuple
import asyncio
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from app.retriver.chunks_hybrid_search import ChucksHybridSearchRetriever
@ -13,6 +14,7 @@ class ConnectorService:
self.session = session
self.retriever = ChucksHybridSearchRetriever(session)
self.source_id_counter = 1
self.counter_lock = asyncio.Lock() # Lock to protect counter in multithreaded environments
async def search_crawled_urls(self, user_query: str, user_id: str, search_space_id: int, top_k: int = 20) -> tuple:
"""
@ -29,8 +31,18 @@ class ConnectorService:
document_type="CRAWLED_URL"
)
# Early return if no results
if not crawled_urls_chunks:
return {
"id": 1,
"name": "Crawled URLs",
"type": "CRAWLED_URL",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(crawled_urls_chunks):
# Fix for UI
crawled_urls_chunks[i]['document']['id'] = self.source_id_counter
@ -74,8 +86,18 @@ class ConnectorService:
document_type="FILE"
)
# Early return if no results
if not files_chunks:
return {
"id": 2,
"name": "Files",
"type": "FILE",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(files_chunks):
# Fix for UI
files_chunks[i]['document']['id'] = self.source_id_counter
@ -163,10 +185,20 @@ class ConnectorService:
# Extract results from Tavily response
tavily_results = response.get("results", [])
# Early return if no results
if not tavily_results:
return {
"id": 3,
"name": "Tavily Search",
"type": "TAVILY_API",
"sources": [],
}, []
# Process each result and create sources directly without deduplication
sources_list = []
documents = []
async with self.counter_lock:
for i, result in enumerate(tavily_results):
# Create a source entry
@ -232,8 +264,18 @@ class ConnectorService:
document_type="SLACK_CONNECTOR"
)
# Early return if no results
if not slack_chunks:
return {
"id": 4,
"name": "Slack",
"type": "SLACK_CONNECTOR",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(slack_chunks):
# Fix for UI
slack_chunks[i]['document']['id'] = self.source_id_counter
@ -302,8 +344,18 @@ class ConnectorService:
document_type="NOTION_CONNECTOR"
)
# Early return if no results
if not notion_chunks:
return {
"id": 5,
"name": "Notion",
"type": "NOTION_CONNECTOR",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(notion_chunks):
# Fix for UI
notion_chunks[i]['document']['id'] = self.source_id_counter
@ -374,8 +426,18 @@ class ConnectorService:
document_type="EXTENSION"
)
# Early return if no results
if not extension_chunks:
return {
"id": 6,
"name": "Extension",
"type": "EXTENSION",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(extension_chunks):
# Fix for UI
extension_chunks[i]['document']['id'] = self.source_id_counter
@ -464,8 +526,18 @@ class ConnectorService:
document_type="YOUTUBE_VIDEO"
)
# Early return if no results
if not youtube_chunks:
return {
"id": 7,
"name": "YouTube Videos",
"type": "YOUTUBE_VIDEO",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(youtube_chunks):
# Fix for UI
youtube_chunks[i]['document']['id'] = self.source_id_counter
@ -530,8 +602,18 @@ class ConnectorService:
document_type="GITHUB_CONNECTOR"
)
# Early return if no results
if not github_chunks:
return {
"id": 8,
"name": "GitHub",
"type": "GITHUB_CONNECTOR",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(github_chunks):
# Fix for UI - assign a unique ID for citation/source tracking
github_chunks[i]['document']['id'] = self.source_id_counter
@ -582,8 +664,18 @@ class ConnectorService:
document_type="LINEAR_CONNECTOR"
)
# Early return if no results
if not linear_chunks:
return {
"id": 9,
"name": "Linear Issues",
"type": "LINEAR_CONNECTOR",
"sources": [],
}, []
# Process each chunk and create sources directly without deduplication
sources_list = []
async with self.counter_lock:
for i, chunk in enumerate(linear_chunks):
# Fix for UI
linear_chunks[i]['document']['id'] = self.source_id_counter
@ -697,6 +789,7 @@ class ConnectorService:
sources_list = []
documents = []
async with self.counter_lock:
for i, result in enumerate(linkup_results):
# Only process results that have content
if not hasattr(result, 'content') or not result.content: