Files
ALwrity/backend/services/scheduler/utils/platform_insights_task_loader.py

61 lines
1.7 KiB
Python

"""
Platform Insights Task Loader
Functions to load due platform insights tasks from database.
"""
from datetime import datetime
from typing import List, Optional, Union
from sqlalchemy.orm import Session
from sqlalchemy import and_, or_
from models.platform_insights_monitoring_models import PlatformInsightsTask
def load_due_platform_insights_tasks(
db: Session,
user_id: Optional[Union[str, int]] = None,
platform: Optional[str] = None
) -> List[PlatformInsightsTask]:
"""
Load all platform insights tasks that are due for execution.
Criteria:
- status == 'active' (only check active tasks)
- next_check <= now (or is None for first execution)
- Optional: user_id filter for specific user
- Optional: platform filter ('gsc' or 'bing')
Args:
db: Database session
user_id: Optional user ID (Clerk string) to filter tasks
platform: Optional platform filter ('gsc' or 'bing')
Returns:
List of due PlatformInsightsTask instances
"""
now = datetime.utcnow()
# Build query for due tasks
query = db.query(PlatformInsightsTask).filter(
and_(
PlatformInsightsTask.status == 'active',
or_(
PlatformInsightsTask.next_check <= now,
PlatformInsightsTask.next_check.is_(None)
)
)
)
# Apply user filter if provided
if user_id is not None:
query = query.filter(PlatformInsightsTask.user_id == str(user_id))
# Apply platform filter if provided
if platform is not None:
query = query.filter(PlatformInsightsTask.platform == platform)
tasks = query.all()
return tasks