mirror of
https://github.com/MODSetter/SurfSense.git
synced 2025-09-02 02:29:08 +00:00
890 lines
32 KiB
Python
890 lines
32 KiB
Python
"""
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SearchSourceConnector routes for CRUD operations:
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POST /search-source-connectors/ - Create a new connector
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GET /search-source-connectors/ - List all connectors for the current user
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GET /search-source-connectors/{connector_id} - Get a specific connector
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PUT /search-source-connectors/{connector_id} - Update a specific connector
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DELETE /search-source-connectors/{connector_id} - Delete a specific connector
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POST /search-source-connectors/{connector_id}/index - Index content from a connector to a search space
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Note: Each user can have only one connector of each type (SERPER_API, TAVILY_API, SLACK_CONNECTOR, NOTION_CONNECTOR, GITHUB_CONNECTOR, LINEAR_CONNECTOR, DISCORD_CONNECTOR).
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"""
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|
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import logging
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from datetime import datetime, timedelta
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from typing import Any, Dict, List
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from app.connectors.github_connector import GitHubConnector
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from app.db import (
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SearchSourceConnector,
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SearchSourceConnectorType,
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SearchSpace,
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User,
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async_session_maker,
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get_async_session,
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)
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from app.schemas import (
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SearchSourceConnectorBase,
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SearchSourceConnectorCreate,
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SearchSourceConnectorRead,
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SearchSourceConnectorUpdate,
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)
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from app.tasks.connectors_indexing_tasks import (
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index_discord_messages,
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index_github_repos,
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index_jira_issues,
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index_linear_issues,
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index_notion_pages,
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index_slack_messages,
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)
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from app.users import current_active_user
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from app.utils.check_ownership import check_ownership
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from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
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from pydantic import BaseModel, Field, ValidationError
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from sqlalchemy.exc import IntegrityError
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.future import select
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# Set up logging
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logger = logging.getLogger(__name__)
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router = APIRouter()
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# Use Pydantic's BaseModel here
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class GitHubPATRequest(BaseModel):
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github_pat: str = Field(..., description="GitHub Personal Access Token")
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# --- New Endpoint to list GitHub Repositories ---
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@router.post("/github/repositories/", response_model=List[Dict[str, Any]])
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async def list_github_repositories(
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pat_request: GitHubPATRequest,
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user: User = Depends(current_active_user), # Ensure the user is logged in
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):
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"""
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Fetches a list of repositories accessible by the provided GitHub PAT.
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The PAT is used for this request only and is not stored.
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"""
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try:
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# Initialize GitHubConnector with the provided PAT
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github_client = GitHubConnector(token=pat_request.github_pat)
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# Fetch repositories
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repositories = github_client.get_user_repositories()
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return repositories
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except ValueError as e:
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# Handle invalid token error specifically
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logger.error(f"GitHub PAT validation failed for user {user.id}: {str(e)}")
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raise HTTPException(status_code=400, detail=f"Invalid GitHub PAT: {str(e)}")
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except Exception as e:
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logger.error(
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f"Failed to fetch GitHub repositories for user {user.id}: {str(e)}"
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)
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raise HTTPException(
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status_code=500, detail="Failed to fetch GitHub repositories."
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)
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@router.post("/search-source-connectors/", response_model=SearchSourceConnectorRead)
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async def create_search_source_connector(
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connector: SearchSourceConnectorCreate,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""
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Create a new search source connector.
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Each user can have only one connector of each type (SERPER_API, TAVILY_API, SLACK_CONNECTOR, etc.).
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The config must contain the appropriate keys for the connector type.
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"""
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try:
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# Check if a connector with the same type already exists for this user
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result = await session.execute(
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select(SearchSourceConnector).filter(
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SearchSourceConnector.user_id == user.id,
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SearchSourceConnector.connector_type == connector.connector_type,
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)
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)
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existing_connector = result.scalars().first()
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if existing_connector:
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raise HTTPException(
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status_code=409,
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detail=f"A connector with type {connector.connector_type} already exists. Each user can have only one connector of each type.",
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)
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db_connector = SearchSourceConnector(**connector.model_dump(), user_id=user.id)
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session.add(db_connector)
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await session.commit()
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await session.refresh(db_connector)
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return db_connector
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except ValidationError as e:
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await session.rollback()
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raise HTTPException(status_code=422, detail=f"Validation error: {str(e)}")
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except IntegrityError as e:
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await session.rollback()
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raise HTTPException(
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status_code=409,
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detail=f"Integrity error: A connector with this type already exists. {str(e)}",
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)
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except HTTPException:
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await session.rollback()
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raise
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except Exception as e:
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logger.error(f"Failed to create search source connector: {str(e)}")
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await session.rollback()
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raise HTTPException(
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status_code=500,
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detail=f"Failed to create search source connector: {str(e)}",
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)
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@router.get(
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"/search-source-connectors/", response_model=List[SearchSourceConnectorRead]
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)
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async def read_search_source_connectors(
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skip: int = 0,
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limit: int = 100,
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search_space_id: int = None,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""List all search source connectors for the current user."""
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try:
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query = select(SearchSourceConnector).filter(
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SearchSourceConnector.user_id == user.id
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)
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# No need to filter by search_space_id as connectors are user-owned, not search space specific
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result = await session.execute(query.offset(skip).limit(limit))
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return result.scalars().all()
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=f"Failed to fetch search source connectors: {str(e)}",
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)
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@router.get(
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"/search-source-connectors/{connector_id}", response_model=SearchSourceConnectorRead
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)
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async def read_search_source_connector(
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connector_id: int,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""Get a specific search source connector by ID."""
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try:
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return await check_ownership(session, SearchSourceConnector, connector_id, user)
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except HTTPException:
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raise
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except Exception as e:
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raise HTTPException(
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status_code=500, detail=f"Failed to fetch search source connector: {str(e)}"
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)
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@router.put(
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"/search-source-connectors/{connector_id}", response_model=SearchSourceConnectorRead
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)
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async def update_search_source_connector(
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connector_id: int,
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connector_update: SearchSourceConnectorUpdate,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""
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Update a search source connector.
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Handles partial updates, including merging changes into the 'config' field.
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"""
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db_connector = await check_ownership(
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session, SearchSourceConnector, connector_id, user
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)
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# Convert the sparse update data (only fields present in request) to a dict
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update_data = connector_update.model_dump(exclude_unset=True)
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# Special handling for 'config' field
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if "config" in update_data:
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incoming_config = update_data["config"] # Config data from the request
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existing_config = (
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db_connector.config if db_connector.config else {}
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) # Current config from DB
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# Merge incoming config into existing config
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# This preserves existing keys (like GITHUB_PAT) if they are not in the incoming data
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merged_config = existing_config.copy()
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merged_config.update(incoming_config)
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# -- Validation after merging --
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# Validate the *merged* config based on the connector type
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# We need the connector type - use the one from the update if provided, else the existing one
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current_connector_type = (
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connector_update.connector_type
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if connector_update.connector_type is not None
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else db_connector.connector_type
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)
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try:
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# We can reuse the base validator by creating a temporary base model instance
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# Note: This assumes 'name' and 'is_indexable' are not crucial for config validation itself
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temp_data_for_validation = {
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"name": db_connector.name, # Use existing name
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"connector_type": current_connector_type,
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"is_indexable": db_connector.is_indexable, # Use existing value
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"last_indexed_at": db_connector.last_indexed_at, # Not used by validator
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"config": merged_config,
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}
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SearchSourceConnectorBase.model_validate(temp_data_for_validation)
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except ValidationError as e:
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# Raise specific validation error for the merged config
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raise HTTPException(
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status_code=422, detail=f"Validation error for merged config: {str(e)}"
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)
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# If validation passes, update the main update_data dict with the merged config
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update_data["config"] = merged_config
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# Apply all updates (including the potentially merged config)
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for key, value in update_data.items():
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# Prevent changing connector_type if it causes a duplicate (check moved here)
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if key == "connector_type" and value != db_connector.connector_type:
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result = await session.execute(
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select(SearchSourceConnector).filter(
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SearchSourceConnector.user_id == user.id,
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SearchSourceConnector.connector_type == value,
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SearchSourceConnector.id != connector_id,
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)
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)
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existing_connector = result.scalars().first()
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if existing_connector:
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raise HTTPException(
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status_code=409,
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detail=f"A connector with type {value} already exists. Each user can have only one connector of each type.",
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)
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setattr(db_connector, key, value)
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try:
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await session.commit()
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await session.refresh(db_connector)
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return db_connector
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except IntegrityError as e:
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await session.rollback()
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# This might occur if connector_type constraint is violated somehow after the check
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raise HTTPException(
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status_code=409, detail=f"Database integrity error during update: {str(e)}"
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)
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except Exception as e:
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await session.rollback()
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logger.error(
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f"Failed to update search source connector {connector_id}: {e}",
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exc_info=True,
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)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to update search source connector: {str(e)}",
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)
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@router.delete("/search-source-connectors/{connector_id}", response_model=dict)
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async def delete_search_source_connector(
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connector_id: int,
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session: AsyncSession = Depends(get_async_session),
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user: User = Depends(current_active_user),
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):
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"""Delete a search source connector."""
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try:
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db_connector = await check_ownership(
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session, SearchSourceConnector, connector_id, user
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)
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await session.delete(db_connector)
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await session.commit()
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return {"message": "Search source connector deleted successfully"}
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except HTTPException:
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raise
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except Exception as e:
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await session.rollback()
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raise HTTPException(
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status_code=500,
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detail=f"Failed to delete search source connector: {str(e)}",
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)
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|
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@router.post(
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"/search-source-connectors/{connector_id}/index", response_model=Dict[str, Any]
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)
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async def index_connector_content(
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connector_id: int,
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search_space_id: int = Query(
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..., description="ID of the search space to store indexed content"
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),
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start_date: str = Query(
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None,
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|
description="Start date for indexing (YYYY-MM-DD format). If not provided, uses last_indexed_at or defaults to 365 days ago",
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),
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end_date: str = Query(
|
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None,
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|
description="End date for indexing (YYYY-MM-DD format). If not provided, uses today's date",
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|
),
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|
session: AsyncSession = Depends(get_async_session),
|
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user: User = Depends(current_active_user),
|
|
background_tasks: BackgroundTasks = None,
|
|
):
|
|
"""
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Index content from a connector to a search space.
|
|
|
|
Currently supports:
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- SLACK_CONNECTOR: Indexes messages from all accessible Slack channels
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- NOTION_CONNECTOR: Indexes pages from all accessible Notion pages
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- GITHUB_CONNECTOR: Indexes code and documentation from GitHub repositories
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- LINEAR_CONNECTOR: Indexes issues and comments from Linear
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- JIRA_CONNECTOR: Indexes issues and comments from Jira
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- DISCORD_CONNECTOR: Indexes messages from all accessible Discord channels
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|
|
|
Args:
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connector_id: ID of the connector to use
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search_space_id: ID of the search space to store indexed content
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background_tasks: FastAPI background tasks
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|
|
|
Returns:
|
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Dictionary with indexing status
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|
"""
|
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try:
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# Check if the connector belongs to the user
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|
connector = await check_ownership(
|
|
session, SearchSourceConnector, connector_id, user
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|
)
|
|
|
|
# Check if the search space belongs to the user
|
|
search_space = await check_ownership(
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|
session, SearchSpace, search_space_id, user
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|
)
|
|
|
|
# Handle different connector types
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|
response_message = ""
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|
today_str = datetime.now().strftime("%Y-%m-%d")
|
|
|
|
# Determine the actual date range to use
|
|
if start_date is None:
|
|
# Use last_indexed_at or default to 365 days ago
|
|
if connector.last_indexed_at:
|
|
today = datetime.now().date()
|
|
if connector.last_indexed_at.date() == today:
|
|
# If last indexed today, go back 1 day to ensure we don't miss anything
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|
indexing_from = (today - timedelta(days=1)).strftime("%Y-%m-%d")
|
|
else:
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|
indexing_from = connector.last_indexed_at.strftime("%Y-%m-%d")
|
|
else:
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|
indexing_from = (datetime.now() - timedelta(days=365)).strftime(
|
|
"%Y-%m-%d"
|
|
)
|
|
else:
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|
indexing_from = start_date
|
|
|
|
if end_date is None:
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|
indexing_to = today_str
|
|
else:
|
|
indexing_to = end_date
|
|
|
|
if connector.connector_type == SearchSourceConnectorType.SLACK_CONNECTOR:
|
|
# Run indexing in background
|
|
logger.info(
|
|
f"Triggering Slack indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}"
|
|
)
|
|
background_tasks.add_task(
|
|
run_slack_indexing_with_new_session,
|
|
connector_id,
|
|
search_space_id,
|
|
str(user.id),
|
|
indexing_from,
|
|
indexing_to,
|
|
)
|
|
response_message = "Slack indexing started in the background."
|
|
|
|
elif connector.connector_type == SearchSourceConnectorType.NOTION_CONNECTOR:
|
|
# Run indexing in background
|
|
logger.info(
|
|
f"Triggering Notion indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}"
|
|
)
|
|
background_tasks.add_task(
|
|
run_notion_indexing_with_new_session,
|
|
connector_id,
|
|
search_space_id,
|
|
str(user.id),
|
|
indexing_from,
|
|
indexing_to,
|
|
)
|
|
response_message = "Notion indexing started in the background."
|
|
|
|
elif connector.connector_type == SearchSourceConnectorType.GITHUB_CONNECTOR:
|
|
# Run indexing in background
|
|
logger.info(
|
|
f"Triggering GitHub indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}"
|
|
)
|
|
background_tasks.add_task(
|
|
run_github_indexing_with_new_session,
|
|
connector_id,
|
|
search_space_id,
|
|
str(user.id),
|
|
indexing_from,
|
|
indexing_to,
|
|
)
|
|
response_message = "GitHub indexing started in the background."
|
|
|
|
elif connector.connector_type == SearchSourceConnectorType.LINEAR_CONNECTOR:
|
|
# Run indexing in background
|
|
logger.info(
|
|
f"Triggering Linear indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}"
|
|
)
|
|
background_tasks.add_task(
|
|
run_linear_indexing_with_new_session,
|
|
connector_id,
|
|
search_space_id,
|
|
str(user.id),
|
|
indexing_from,
|
|
indexing_to,
|
|
)
|
|
response_message = "Linear indexing started in the background."
|
|
|
|
elif connector.connector_type == SearchSourceConnectorType.JIRA_CONNECTOR:
|
|
# Run indexing in background
|
|
logger.info(
|
|
f"Triggering Jira indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}"
|
|
)
|
|
background_tasks.add_task(
|
|
run_jira_indexing_with_new_session,
|
|
connector_id,
|
|
search_space_id,
|
|
str(user.id),
|
|
indexing_from,
|
|
indexing_to,
|
|
)
|
|
response_message = "Jira indexing started in the background."
|
|
|
|
elif connector.connector_type == SearchSourceConnectorType.DISCORD_CONNECTOR:
|
|
# Run indexing in background
|
|
logger.info(
|
|
f"Triggering Discord indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}"
|
|
)
|
|
background_tasks.add_task(
|
|
run_discord_indexing_with_new_session,
|
|
connector_id,
|
|
search_space_id,
|
|
str(user.id),
|
|
indexing_from,
|
|
indexing_to,
|
|
)
|
|
response_message = "Discord indexing started in the background."
|
|
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=f"Indexing not supported for connector type: {connector.connector_type}",
|
|
)
|
|
|
|
return {
|
|
"message": response_message,
|
|
"connector_id": connector_id,
|
|
"search_space_id": search_space_id,
|
|
"indexing_from": indexing_from,
|
|
"indexing_to": indexing_to,
|
|
}
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.error(
|
|
f"Failed to initiate indexing for connector {connector_id}: {e}",
|
|
exc_info=True,
|
|
)
|
|
raise HTTPException(
|
|
status_code=500, detail=f"Failed to initiate indexing: {str(e)}"
|
|
)
|
|
|
|
|
|
async def update_connector_last_indexed(session: AsyncSession, connector_id: int):
|
|
"""
|
|
Update the last_indexed_at timestamp for a connector.
|
|
|
|
Args:
|
|
session: Database session
|
|
connector_id: ID of the connector to update
|
|
"""
|
|
try:
|
|
result = await session.execute(
|
|
select(SearchSourceConnector).filter(
|
|
SearchSourceConnector.id == connector_id
|
|
)
|
|
)
|
|
connector = result.scalars().first()
|
|
|
|
if connector:
|
|
connector.last_indexed_at = datetime.now()
|
|
await session.commit()
|
|
logger.info(f"Updated last_indexed_at for connector {connector_id}")
|
|
except Exception as e:
|
|
logger.error(
|
|
f"Failed to update last_indexed_at for connector {connector_id}: {str(e)}"
|
|
)
|
|
await session.rollback()
|
|
|
|
|
|
async def run_slack_indexing_with_new_session(
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""
|
|
Create a new session and run the Slack indexing task.
|
|
This prevents session leaks by creating a dedicated session for the background task.
|
|
"""
|
|
async with async_session_maker() as session:
|
|
await run_slack_indexing(
|
|
session, connector_id, search_space_id, user_id, start_date, end_date
|
|
)
|
|
|
|
|
|
async def run_slack_indexing(
|
|
session: AsyncSession,
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""
|
|
Background task to run Slack indexing.
|
|
|
|
Args:
|
|
session: Database session
|
|
connector_id: ID of the Slack connector
|
|
search_space_id: ID of the search space
|
|
user_id: ID of the user
|
|
start_date: Start date for indexing
|
|
end_date: End date for indexing
|
|
"""
|
|
try:
|
|
# Index Slack messages without updating last_indexed_at (we'll do it separately)
|
|
documents_processed, error_or_warning = await index_slack_messages(
|
|
session=session,
|
|
connector_id=connector_id,
|
|
search_space_id=search_space_id,
|
|
user_id=user_id,
|
|
start_date=start_date,
|
|
end_date=end_date,
|
|
update_last_indexed=False, # Don't update timestamp in the indexing function
|
|
)
|
|
|
|
# Only update last_indexed_at if indexing was successful (either new docs or updated docs)
|
|
if documents_processed > 0:
|
|
await update_connector_last_indexed(session, connector_id)
|
|
logger.info(
|
|
f"Slack indexing completed successfully: {documents_processed} documents processed"
|
|
)
|
|
else:
|
|
logger.error(
|
|
f"Slack indexing failed or no documents processed: {error_or_warning}"
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"Error in background Slack indexing task: {str(e)}")
|
|
|
|
|
|
async def run_notion_indexing_with_new_session(
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""
|
|
Create a new session and run the Notion indexing task.
|
|
This prevents session leaks by creating a dedicated session for the background task.
|
|
"""
|
|
async with async_session_maker() as session:
|
|
await run_notion_indexing(
|
|
session, connector_id, search_space_id, user_id, start_date, end_date
|
|
)
|
|
|
|
|
|
async def run_notion_indexing(
|
|
session: AsyncSession,
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""
|
|
Background task to run Notion indexing.
|
|
|
|
Args:
|
|
session: Database session
|
|
connector_id: ID of the Notion connector
|
|
search_space_id: ID of the search space
|
|
user_id: ID of the user
|
|
start_date: Start date for indexing
|
|
end_date: End date for indexing
|
|
"""
|
|
try:
|
|
# Index Notion pages without updating last_indexed_at (we'll do it separately)
|
|
documents_processed, error_or_warning = await index_notion_pages(
|
|
session=session,
|
|
connector_id=connector_id,
|
|
search_space_id=search_space_id,
|
|
user_id=user_id,
|
|
start_date=start_date,
|
|
end_date=end_date,
|
|
update_last_indexed=False, # Don't update timestamp in the indexing function
|
|
)
|
|
|
|
# Only update last_indexed_at if indexing was successful (either new docs or updated docs)
|
|
if documents_processed > 0:
|
|
await update_connector_last_indexed(session, connector_id)
|
|
logger.info(
|
|
f"Notion indexing completed successfully: {documents_processed} documents processed"
|
|
)
|
|
else:
|
|
logger.error(
|
|
f"Notion indexing failed or no documents processed: {error_or_warning}"
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"Error in background Notion indexing task: {str(e)}")
|
|
|
|
|
|
# Add new helper functions for GitHub indexing
|
|
async def run_github_indexing_with_new_session(
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""Wrapper to run GitHub indexing with its own database session."""
|
|
logger.info(
|
|
f"Background task started: Indexing GitHub connector {connector_id} into space {search_space_id} from {start_date} to {end_date}"
|
|
)
|
|
async with async_session_maker() as session:
|
|
await run_github_indexing(
|
|
session, connector_id, search_space_id, user_id, start_date, end_date
|
|
)
|
|
logger.info(f"Background task finished: Indexing GitHub connector {connector_id}")
|
|
|
|
|
|
async def run_github_indexing(
|
|
session: AsyncSession,
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""Runs the GitHub indexing task and updates the timestamp."""
|
|
try:
|
|
indexed_count, error_message = await index_github_repos(
|
|
session,
|
|
connector_id,
|
|
search_space_id,
|
|
user_id,
|
|
start_date,
|
|
end_date,
|
|
update_last_indexed=False,
|
|
)
|
|
if error_message:
|
|
logger.error(
|
|
f"GitHub indexing failed for connector {connector_id}: {error_message}"
|
|
)
|
|
# Optionally update status in DB to indicate failure
|
|
else:
|
|
logger.info(
|
|
f"GitHub indexing successful for connector {connector_id}. Indexed {indexed_count} documents."
|
|
)
|
|
# Update the last indexed timestamp only on success
|
|
await update_connector_last_indexed(session, connector_id)
|
|
await session.commit() # Commit timestamp update
|
|
except Exception as e:
|
|
await session.rollback()
|
|
logger.error(
|
|
f"Critical error in run_github_indexing for connector {connector_id}: {e}",
|
|
exc_info=True,
|
|
)
|
|
# Optionally update status in DB to indicate failure
|
|
|
|
|
|
# Add new helper functions for Linear indexing
|
|
async def run_linear_indexing_with_new_session(
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""Wrapper to run Linear indexing with its own database session."""
|
|
logger.info(
|
|
f"Background task started: Indexing Linear connector {connector_id} into space {search_space_id} from {start_date} to {end_date}"
|
|
)
|
|
async with async_session_maker() as session:
|
|
await run_linear_indexing(
|
|
session, connector_id, search_space_id, user_id, start_date, end_date
|
|
)
|
|
logger.info(f"Background task finished: Indexing Linear connector {connector_id}")
|
|
|
|
|
|
async def run_linear_indexing(
|
|
session: AsyncSession,
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""Runs the Linear indexing task and updates the timestamp."""
|
|
try:
|
|
indexed_count, error_message = await index_linear_issues(
|
|
session,
|
|
connector_id,
|
|
search_space_id,
|
|
user_id,
|
|
start_date,
|
|
end_date,
|
|
update_last_indexed=False,
|
|
)
|
|
if error_message:
|
|
logger.error(
|
|
f"Linear indexing failed for connector {connector_id}: {error_message}"
|
|
)
|
|
# Optionally update status in DB to indicate failure
|
|
else:
|
|
logger.info(
|
|
f"Linear indexing successful for connector {connector_id}. Indexed {indexed_count} documents."
|
|
)
|
|
# Update the last indexed timestamp only on success
|
|
await update_connector_last_indexed(session, connector_id)
|
|
await session.commit() # Commit timestamp update
|
|
except Exception as e:
|
|
await session.rollback()
|
|
logger.error(
|
|
f"Critical error in run_linear_indexing for connector {connector_id}: {e}",
|
|
exc_info=True,
|
|
)
|
|
# Optionally update status in DB to indicate failure
|
|
|
|
|
|
# Add new helper functions for discord indexing
|
|
async def run_discord_indexing_with_new_session(
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""
|
|
Create a new session and run the Discord indexing task.
|
|
This prevents session leaks by creating a dedicated session for the background task.
|
|
"""
|
|
async with async_session_maker() as session:
|
|
await run_discord_indexing(
|
|
session, connector_id, search_space_id, user_id, start_date, end_date
|
|
)
|
|
|
|
|
|
async def run_discord_indexing(
|
|
session: AsyncSession,
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""
|
|
Background task to run Discord indexing.
|
|
Args:
|
|
session: Database session
|
|
connector_id: ID of the Discord connector
|
|
search_space_id: ID of the search space
|
|
user_id: ID of the user
|
|
start_date: Start date for indexing
|
|
end_date: End date for indexing
|
|
"""
|
|
try:
|
|
# Index Discord messages without updating last_indexed_at (we'll do it separately)
|
|
documents_processed, error_or_warning = await index_discord_messages(
|
|
session=session,
|
|
connector_id=connector_id,
|
|
search_space_id=search_space_id,
|
|
user_id=user_id,
|
|
start_date=start_date,
|
|
end_date=end_date,
|
|
update_last_indexed=False, # Don't update timestamp in the indexing function
|
|
)
|
|
|
|
# Only update last_indexed_at if indexing was successful (either new docs or updated docs)
|
|
if documents_processed > 0:
|
|
await update_connector_last_indexed(session, connector_id)
|
|
logger.info(
|
|
f"Discord indexing completed successfully: {documents_processed} documents processed"
|
|
)
|
|
else:
|
|
logger.error(
|
|
f"Discord indexing failed or no documents processed: {error_or_warning}"
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"Error in background Discord indexing task: {str(e)}")
|
|
|
|
|
|
# Add new helper functions for Jira indexing
|
|
async def run_jira_indexing_with_new_session(
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""Wrapper to run Jira indexing with its own database session."""
|
|
logger.info(
|
|
f"Background task started: Indexing Jira connector {connector_id} into space {search_space_id} from {start_date} to {end_date}"
|
|
)
|
|
async with async_session_maker() as session:
|
|
await run_jira_indexing(
|
|
session, connector_id, search_space_id, user_id, start_date, end_date
|
|
)
|
|
logger.info(f"Background task finished: Indexing Jira connector {connector_id}")
|
|
|
|
|
|
async def run_jira_indexing(
|
|
session: AsyncSession,
|
|
connector_id: int,
|
|
search_space_id: int,
|
|
user_id: str,
|
|
start_date: str,
|
|
end_date: str,
|
|
):
|
|
"""Runs the Jira indexing task and updates the timestamp."""
|
|
try:
|
|
indexed_count, error_message = await index_jira_issues(
|
|
session,
|
|
connector_id,
|
|
search_space_id,
|
|
user_id,
|
|
start_date,
|
|
end_date,
|
|
update_last_indexed=False,
|
|
)
|
|
if error_message:
|
|
logger.error(
|
|
f"Jira indexing failed for connector {connector_id}: {error_message}"
|
|
)
|
|
# Optionally update status in DB to indicate failure
|
|
else:
|
|
logger.info(
|
|
f"Jira indexing successful for connector {connector_id}. Indexed {indexed_count} documents."
|
|
)
|
|
# Update the last indexed timestamp only on success
|
|
await update_connector_last_indexed(session, connector_id)
|
|
await session.commit() # Commit timestamp update
|
|
except Exception as e:
|
|
logger.error(
|
|
f"Critical error in run_jira_indexing for connector {connector_id}: {e}",
|
|
exc_info=True,
|
|
)
|
|
# Optionally update status in DB to indicate failure
|