mirror of
https://github.com/MODSetter/SurfSense.git
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299 lines
12 KiB
Python
299 lines
12 KiB
Python
"""
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ClickUp connector indexer.
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"""
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from datetime import datetime
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from sqlalchemy.exc import SQLAlchemyError
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.config import config
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from app.connectors.clickup_connector import ClickUpConnector
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from app.db import Document, DocumentType, SearchSourceConnectorType
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from app.services.task_logging_service import TaskLoggingService
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from app.utils.document_converters import generate_content_hash
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from .base import (
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check_duplicate_document_by_hash,
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create_document_chunks,
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get_connector_by_id,
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logger,
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update_connector_last_indexed,
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)
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async def index_clickup_tasks(
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session: AsyncSession,
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connector_id: int,
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search_space_id: int,
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user_id: str,
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start_date: str | None = None,
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end_date: str | None = None,
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update_last_indexed: bool = True,
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) -> tuple[int, str | None]:
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"""
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Index tasks from ClickUp workspace.
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Args:
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session: Database session
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connector_id: ID of the ClickUp connector
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search_space_id: ID of the search space
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user_id: ID of the user
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start_date: Start date for filtering tasks (YYYY-MM-DD format)
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end_date: End date for filtering tasks (YYYY-MM-DD format)
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update_last_indexed: Whether to update the last_indexed_at timestamp
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Returns:
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Tuple of (number of indexed tasks, error message if any)
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"""
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task_logger = TaskLoggingService(session, search_space_id)
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# Log task start
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log_entry = await task_logger.log_task_start(
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task_name="clickup_tasks_indexing",
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source="connector_indexing_task",
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message=f"Starting ClickUp tasks indexing for connector {connector_id}",
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metadata={
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"connector_id": connector_id,
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"start_date": start_date,
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"end_date": end_date,
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},
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)
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try:
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# Get connector configuration
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connector = await get_connector_by_id(
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session, connector_id, SearchSourceConnectorType.CLICKUP_CONNECTOR
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)
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if not connector:
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error_msg = f"ClickUp connector with ID {connector_id} not found"
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await task_logger.log_task_failure(
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log_entry,
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f"Connector with ID {connector_id} not found or is not a ClickUp connector",
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"Connector not found",
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{"error_type": "ConnectorNotFound"},
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)
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return 0, error_msg
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# Extract ClickUp configuration
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clickup_api_token = connector.config.get("CLICKUP_API_TOKEN")
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if not clickup_api_token:
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error_msg = "ClickUp API token not found in connector configuration"
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await task_logger.log_task_failure(
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log_entry,
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f"ClickUp API token not found in connector config for connector {connector_id}",
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"Missing ClickUp token",
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{"error_type": "MissingToken"},
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)
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return 0, error_msg
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await task_logger.log_task_progress(
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log_entry,
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f"Initializing ClickUp client for connector {connector_id}",
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{"stage": "client_initialization"},
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)
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clickup_client = ClickUpConnector(api_token=clickup_api_token)
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# Get authorized workspaces
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await task_logger.log_task_progress(
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log_entry,
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"Fetching authorized ClickUp workspaces",
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{"stage": "workspace_fetching"},
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)
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workspaces_response = clickup_client.get_authorized_workspaces()
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workspaces = workspaces_response.get("teams", [])
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if not workspaces:
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error_msg = "No authorized ClickUp workspaces found"
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await task_logger.log_task_failure(
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log_entry,
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f"No authorized ClickUp workspaces found for connector {connector_id}",
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"No workspaces found",
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{"error_type": "NoWorkspacesFound"},
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)
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return 0, error_msg
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documents_indexed = 0
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documents_skipped = 0
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# Iterate workspaces and fetch tasks
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for workspace in workspaces:
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workspace_id = workspace.get("id")
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workspace_name = workspace.get("name", "Unknown Workspace")
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if not workspace_id:
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continue
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await task_logger.log_task_progress(
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log_entry,
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f"Processing workspace: {workspace_name}",
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{"stage": "workspace_processing", "workspace_id": workspace_id},
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)
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# Fetch tasks for date range if provided
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if start_date and end_date:
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tasks, error = clickup_client.get_tasks_in_date_range(
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workspace_id=workspace_id,
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start_date=start_date,
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end_date=end_date,
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include_closed=True,
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)
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if error:
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logger.warning(
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f"Error fetching tasks from workspace {workspace_name}: {error}"
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)
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continue
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else:
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tasks = clickup_client.get_workspace_tasks(
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workspace_id=workspace_id, include_closed=True
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)
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await task_logger.log_task_progress(
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log_entry,
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f"Found {len(tasks)} tasks in workspace {workspace_name}",
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{"stage": "tasks_found", "task_count": len(tasks)},
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)
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for task in tasks:
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try:
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task_id = task.get("id")
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task_name = task.get("name", "Untitled Task")
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task_description = task.get("description", "")
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task_status = task.get("status", {}).get("status", "Unknown")
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task_priority = (
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task.get("priority", {}).get("priority", "Unknown")
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if task.get("priority")
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else "None"
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)
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task_assignees = task.get("assignees", [])
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task_due_date = task.get("due_date")
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task_created = task.get("date_created")
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task_updated = task.get("date_updated")
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task_list = task.get("list", {})
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task_list_name = task_list.get("name", "Unknown List")
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task_space = task.get("space", {})
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task_space_name = task_space.get("name", "Unknown Space")
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# Build task content string
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content_parts: list[str] = [f"Task: {task_name}"]
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if task_description:
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content_parts.append(f"Description: {task_description}")
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content_parts.extend(
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[
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f"Status: {task_status}",
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f"Priority: {task_priority}",
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f"List: {task_list_name}",
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f"Space: {task_space_name}",
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]
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)
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if task_assignees:
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assignee_names = [
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assignee.get("username", "Unknown")
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for assignee in task_assignees
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]
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content_parts.append(f"Assignees: {', '.join(assignee_names)}")
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if task_due_date:
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content_parts.append(f"Due Date: {task_due_date}")
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task_content = "\n".join(content_parts)
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if not task_content.strip():
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logger.warning(f"Skipping task with no content: {task_name}")
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documents_skipped += 1
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continue
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# Hash for duplicates
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content_hash = generate_content_hash(task_content, search_space_id)
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existing_document_by_hash = await check_duplicate_document_by_hash(
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session, content_hash
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)
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if existing_document_by_hash:
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logger.info(
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f"Document with content hash {content_hash} already exists for task {task_name}. Skipping processing."
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)
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documents_skipped += 1
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continue
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# Embedding and chunks
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summary_embedding = config.embedding_model_instance.embed(
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task_content
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)
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chunks = await create_document_chunks(task_content)
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document = Document(
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search_space_id=search_space_id,
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title=f"Task - {task_name}",
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document_type=DocumentType.CLICKUP_CONNECTOR,
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document_metadata={
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"task_id": task_id,
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"task_name": task_name,
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"task_status": task_status,
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"task_priority": task_priority,
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"task_assignees": task_assignees,
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"task_due_date": task_due_date,
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"task_created": task_created,
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"task_updated": task_updated,
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"indexed_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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},
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content=task_content,
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content_hash=content_hash,
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embedding=summary_embedding,
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chunks=chunks,
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)
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session.add(document)
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documents_indexed += 1
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logger.info(f"Successfully indexed new task {task_name}")
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except Exception as e:
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logger.error(
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f"Error processing task {task.get('name', 'Unknown')}: {e!s}",
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exc_info=True,
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)
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documents_skipped += 1
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total_processed = documents_indexed
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if total_processed > 0:
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await update_connector_last_indexed(session, connector, update_last_indexed)
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await session.commit()
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await task_logger.log_task_success(
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log_entry,
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f"Successfully completed clickup indexing for connector {connector_id}",
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{
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"pages_processed": total_processed,
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"documents_indexed": documents_indexed,
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"documents_skipped": documents_skipped,
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},
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)
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logger.info(
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f"clickup indexing completed: {documents_indexed} new tasks, {documents_skipped} skipped"
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)
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return total_processed, None
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except SQLAlchemyError as db_error:
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await session.rollback()
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await task_logger.log_task_failure(
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log_entry,
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f"Database error during ClickUp indexing for connector {connector_id}",
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str(db_error),
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{"error_type": "SQLAlchemyError"},
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)
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logger.error(f"Database error: {db_error!s}", exc_info=True)
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return 0, f"Database error: {db_error!s}"
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except Exception as e:
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await session.rollback()
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await task_logger.log_task_failure(
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log_entry,
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f"Failed to index ClickUp tasks for connector {connector_id}",
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str(e),
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{"error_type": type(e).__name__},
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)
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logger.error(f"Failed to index ClickUp tasks: {e!s}", exc_info=True)
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return 0, f"Failed to index ClickUp tasks: {e!s}"
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