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"""
Background Worker for Automated Data Collection
- Collects UI/Real-time data every 5 minutes
- Collects Historical data every 15 minutes
"""
import asyncio
import logging
from datetime import datetime
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.interval import IntervalTrigger
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy.orm import sessionmaker
from backend.services.data_collector_service import DataCollectorService
from database.models import Base
from utils.logger import setup_logger
logger = setup_logger("background_worker")
class BackgroundCollectorWorker:
"""Background worker for automated data collection"""
def __init__(self, database_url: str = "sqlite+aiosqlite:///./data/crypto_data.db"):
"""
Initialize background worker
Args:
database_url: Database connection URL
"""
self.database_url = database_url
self.engine = None
self.async_session_maker = None
self.scheduler = AsyncIOScheduler()
self.is_running = False
# Statistics
self.stats = {
'ui_collections': 0,
'historical_collections': 0,
'total_records_saved': 0,
'last_ui_collection': None,
'last_historical_collection': None,
'errors': []
}
logger.info("Background Collector Worker initialized")
async def initialize_database(self):
"""Initialize database connection"""
try:
self.engine = create_async_engine(
self.database_url,
echo=False,
future=True
)
# Create tables if they don't exist
async with self.engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# Create session maker
self.async_session_maker = async_sessionmaker(
self.engine,
class_=AsyncSession,
expire_on_commit=False
)
logger.info(f"✓ Database initialized: {self.database_url}")
except Exception as e:
logger.error(f"Failed to initialize database: {e}")
raise
async def collect_ui_data(self):
"""
Collect UI/Real-time data (every 5 minutes)
- Market prices
- Gas prices
- Fear & Greed Index
"""
try:
logger.info("⏰ Starting UI data collection (5-minute schedule)...")
async with self.async_session_maker() as session:
collector = DataCollectorService(session)
# Collect real-time data
results = {}
# Market data (highest priority for UI)
results['market_data'] = await collector.collect_market_data()
await asyncio.sleep(1) # Small delay between requests
# Gas prices (important for transactions)
results['gas_prices'] = await collector.collect_gas_prices()
await asyncio.sleep(1)
# Sentiment (Fear & Greed)
results['sentiment'] = await collector.collect_sentiment()
await collector.close()
# Update statistics
total_saved = (
results['market_data']['saved_count'] +
results['gas_prices']['saved_count'] +
results['sentiment']['saved_count']
)
self.stats['ui_collections'] += 1
self.stats['total_records_saved'] += total_saved
self.stats['last_ui_collection'] = datetime.utcnow()
logger.info(f"✓ UI data collection complete. Saved {total_saved} records")
logger.info(f"📊 Total UI collections: {self.stats['ui_collections']}")
except Exception as e:
error_msg = f"Error in UI data collection: {str(e)}"
logger.error(error_msg)
self.stats['errors'].append({
'timestamp': datetime.utcnow(),
'type': 'ui_collection',
'error': error_msg
})
async def collect_historical_data(self):
"""
Collect Historical data (every 15 minutes)
- News articles
- Market data (for historical charts)
- All available data sources
"""
try:
logger.info("⏰ Starting Historical data collection (15-minute schedule)...")
async with self.async_session_maker() as session:
collector = DataCollectorService(session)
# Collect all data comprehensively
results = await collector.collect_all()
await collector.close()
# Update statistics
total_saved = (
results['market_data']['saved_count'] +
results['news']['saved_count'] +
results['sentiment']['saved_count'] +
results['gas_prices']['saved_count']
)
self.stats['historical_collections'] += 1
self.stats['total_records_saved'] += total_saved
self.stats['last_historical_collection'] = datetime.utcnow()
logger.info(f"✓ Historical data collection complete. Saved {total_saved} records")
logger.info(f"📊 Total Historical collections: {self.stats['historical_collections']}")
logger.info(f"📊 Total records saved (all time): {self.stats['total_records_saved']}")
except Exception as e:
error_msg = f"Error in Historical data collection: {str(e)}"
logger.error(error_msg)
self.stats['errors'].append({
'timestamp': datetime.utcnow(),
'type': 'historical_collection',
'error': error_msg
})
def start(self):
"""Start the background worker"""
if self.is_running:
logger.warning("Worker is already running")
return
logger.info("🚀 Starting Background Collector Worker...")
# Schedule UI data collection (every 5 minutes)
self.scheduler.add_job(
self.collect_ui_data,
trigger=IntervalTrigger(minutes=5),
id='ui_data_collection',
name='UI Data Collection (5 min)',
replace_existing=True,
max_instances=1
)
logger.info("✓ Scheduled UI data collection (every 5 minutes)")
# Schedule Historical data collection (every 15 minutes)
self.scheduler.add_job(
self.collect_historical_data,
trigger=IntervalTrigger(minutes=15),
id='historical_data_collection',
name='Historical Data Collection (15 min)',
replace_existing=True,
max_instances=1
)
logger.info("✓ Scheduled Historical data collection (every 15 minutes)")
# Run initial collection immediately
self.scheduler.add_job(
self.collect_ui_data,
id='initial_ui_collection',
name='Initial UI Collection',
replace_existing=True
)
logger.info("✓ Scheduled initial UI collection")
# Start scheduler
self.scheduler.start()
self.is_running = True
logger.info("✅ Background Collector Worker started successfully")
logger.info("📅 Next UI collection: 5 minutes")
logger.info("📅 Next Historical collection: 15 minutes")
def stop(self):
"""Stop the background worker"""
if not self.is_running:
logger.warning("Worker is not running")
return
logger.info("Stopping Background Collector Worker...")
self.scheduler.shutdown(wait=True)
self.is_running = False
logger.info("✓ Background Collector Worker stopped")
async def shutdown(self):
"""Shutdown worker and close database connection"""
self.stop()
if self.engine:
await self.engine.dispose()
logger.info("✓ Database connection closed")
def get_stats(self) -> dict:
"""Get worker statistics"""
return {
'is_running': self.is_running,
'ui_collections': self.stats['ui_collections'],
'historical_collections': self.stats['historical_collections'],
'total_records_saved': self.stats['total_records_saved'],
'last_ui_collection': self.stats['last_ui_collection'].isoformat() if self.stats['last_ui_collection'] else None,
'last_historical_collection': self.stats['last_historical_collection'].isoformat() if self.stats['last_historical_collection'] else None,
'recent_errors': self.stats['errors'][-10:], # Last 10 errors
'scheduler_jobs': [
{
'id': job.id,
'name': job.name,
'next_run_time': job.next_run_time.isoformat() if job.next_run_time else None
}
for job in self.scheduler.get_jobs()
]
}
def force_collection(self, collection_type: str = 'both'):
"""
Force immediate data collection
Args:
collection_type: 'ui', 'historical', or 'both'
"""
if collection_type in ['ui', 'both']:
self.scheduler.add_job(
self.collect_ui_data,
id=f'manual_ui_collection_{datetime.utcnow().timestamp()}',
name='Manual UI Collection',
replace_existing=False
)
logger.info("✓ Manual UI collection scheduled")
if collection_type in ['historical', 'both']:
self.scheduler.add_job(
self.collect_historical_data,
id=f'manual_historical_collection_{datetime.utcnow().timestamp()}',
name='Manual Historical Collection',
replace_existing=False
)
logger.info("✓ Manual Historical collection scheduled")
# Global worker instance
_worker_instance = None
async def get_worker_instance(database_url: str = None) -> BackgroundCollectorWorker:
"""Get or create worker instance"""
global _worker_instance
if _worker_instance is None:
db_url = database_url or "sqlite+aiosqlite:///./data/crypto_data.db"
_worker_instance = BackgroundCollectorWorker(db_url)
await _worker_instance.initialize_database()
return _worker_instance
async def start_background_worker(database_url: str = None):
"""Start the background worker"""
worker = await get_worker_instance(database_url)
worker.start()
return worker
async def stop_background_worker():
"""Stop the background worker"""
global _worker_instance
if _worker_instance:
await _worker_instance.shutdown()
_worker_instance = None
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