ai_giga_tcg/app/services/scheduler/scheduler_service.py
2025-04-09 23:53:05 -04:00

54 lines
2.1 KiB
Python

from sqlalchemy.orm import Session
from app.db.database import SessionLocal, transaction
from app.services.external_api.tcgplayer.tcgplayer_inventory_service import TCGPlayerInventoryService
from app.services.file_processing_service import FileProcessingService
from app.services.scheduler.base_scheduler import BaseScheduler
import logging
logger = logging.getLogger(__name__)
class SchedulerService:
def __init__(self):
self.tcgplayer_service = TCGPlayerInventoryService()
self.file_processor = FileProcessingService()
self.scheduler = BaseScheduler()
async def process_tcgplayer_export(self, export_type: str = "live", use_cache: bool = False):
"""
Process TCGPlayer export as a scheduled task.
Args:
export_type: Type of export to process (staged, live, or pricing)
"""
db = SessionLocal()
try:
logger.info(f"Starting scheduled TCGPlayer export processing for {export_type}")
# Download the file
file_bytes = await self.tcgplayer_service.get_tcgplayer_export(export_type)
# Process the file and load into database
with transaction(db):
stats = await self.file_processor.process_tcgplayer_export(db, export_type=export_type, file_bytes=file_bytes, use_cache=use_cache)
logger.info(f"Completed TCGPlayer export processing: {stats}")
return stats
except Exception as e:
logger.error(f"Error processing TCGPlayer export: {str(e)}")
raise
finally:
db.close()
async def start_scheduled_tasks(self):
"""Start all scheduled tasks"""
# Schedule TCGPlayer export processing to run daily at 2 AM
await self.scheduler.schedule_task(
task_name="process_tcgplayer_export",
func=self.process_tcgplayer_export,
interval_seconds=24 * 60 * 60, # 24 hours
export_type="live"
)
self.scheduler.start()
logger.info("All scheduled tasks started")