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"""
Background Data Collection Agent
Continuously collects data from 305+ free resources
Runs automatically when HuggingFace Space starts
"""
import asyncio
import time
from datetime import datetime, timedelta
from typing import Dict, List, Any
import logging
# Import managers
import sys
sys.path.insert(0, '/workspace')
from core.smart_fallback_manager import get_fallback_manager
from database.db_manager import db_manager
logger = logging.getLogger(__name__)
class DataCollectionAgent:
"""
Background agent that continuously collects data
- Collects from 305+ free resources
- Stores in database cache
- Runs 24/7 in background
- Auto-handles failures with fallback
"""
def __init__(self):
self.fallback_manager = get_fallback_manager()
self.is_running = False
self.collection_stats = {
'total_collections': 0,
'successful_collections': 0,
'failed_collections': 0,
'last_collection_time': None,
'collections_by_category': {}
}
# Collection intervals (seconds)
self.intervals = {
'market_data_apis': 30, # Every 30 seconds
'news_apis': 300, # Every 5 minutes
'sentiment_apis': 180, # Every 3 minutes
'whale_tracking_apis': 60, # Every 1 minute
'block_explorers': 120, # Every 2 minutes
'onchain_analytics_apis': 300,# Every 5 minutes
}
# Last collection times
self.last_collection = {}
logger.info("✅ DataCollectionAgent initialized")
async def start(self):
"""Start the data collection agent"""
if self.is_running:
logger.warning("⚠️ Agent already running")
return
self.is_running = True
logger.info("🚀 Starting DataCollectionAgent...")
# Start collection tasks
tasks = [
self.collect_market_data(),
self.collect_news_data(),
self.collect_sentiment_data(),
self.collect_whale_tracking(),
self.collect_blockchain_data(),
self.health_check_loop(),
]
await asyncio.gather(*tasks, return_exceptions=True)
async def stop(self):
"""Stop the agent"""
self.is_running = False
logger.info("🛑 Stopping DataCollectionAgent...")
async def collect_market_data(self):
"""Continuously collect market data"""
category = 'market_data_apis'
interval = self.intervals[category]
while self.is_running:
try:
logger.info(f"📊 Collecting market data...")
# Get market data from best available source
data = await self.fallback_manager.fetch_with_fallback(
category=category,
endpoint_path="/coins/markets",
params={
"vs_currency": "usd",
"order": "market_cap_desc",
"per_page": 250,
"page": 1
},
max_attempts=10 # Try up to 10 different sources
)
if data:
# Store in database
await self._store_market_data(data)
self.collection_stats['successful_collections'] += 1
logger.info(f"✅ Market data collected successfully")
else:
self.collection_stats['failed_collections'] += 1
logger.warning(f"⚠️ Failed to collect market data after all attempts")
# Update stats
self.collection_stats['total_collections'] += 1
self.last_collection[category] = datetime.now()
except Exception as e:
logger.error(f"❌ Error collecting market data: {e}")
self.collection_stats['failed_collections'] += 1
# Wait for next interval
await asyncio.sleep(interval)
async def collect_news_data(self):
"""Continuously collect news data"""
category = 'news_apis'
interval = self.intervals[category]
while self.is_running:
try:
logger.info(f"📰 Collecting news data...")
# Get news from best available source
data = await self.fallback_manager.fetch_with_fallback(
category=category,
endpoint_path="/news",
params={"limit": 50},
max_attempts=5
)
if data:
await self._store_news_data(data)
self.collection_stats['successful_collections'] += 1
logger.info(f"✅ News data collected successfully")
else:
self.collection_stats['failed_collections'] += 1
self.collection_stats['total_collections'] += 1
self.last_collection[category] = datetime.now()
except Exception as e:
logger.error(f"❌ Error collecting news: {e}")
self.collection_stats['failed_collections'] += 1
await asyncio.sleep(interval)
async def collect_sentiment_data(self):
"""Continuously collect sentiment data"""
category = 'sentiment_apis'
interval = self.intervals[category]
while self.is_running:
try:
logger.info(f"😊 Collecting sentiment data...")
# Get sentiment from best available source
data = await self.fallback_manager.fetch_with_fallback(
category=category,
endpoint_path="/sentiment",
max_attempts=5
)
if data:
await self._store_sentiment_data(data)
self.collection_stats['successful_collections'] += 1
logger.info(f"✅ Sentiment data collected successfully")
else:
self.collection_stats['failed_collections'] += 1
self.collection_stats['total_collections'] += 1
self.last_collection[category] = datetime.now()
except Exception as e:
logger.error(f"❌ Error collecting sentiment: {e}")
self.collection_stats['failed_collections'] += 1
await asyncio.sleep(interval)
async def collect_whale_tracking(self):
"""Continuously collect whale tracking data"""
category = 'whale_tracking_apis'
interval = self.intervals[category]
while self.is_running:
try:
logger.info(f"🐋 Collecting whale tracking data...")
data = await self.fallback_manager.fetch_with_fallback(
category=category,
endpoint_path="/whales",
max_attempts=5
)
if data:
await self._store_whale_data(data)
self.collection_stats['successful_collections'] += 1
logger.info(f"✅ Whale data collected successfully")
else:
self.collection_stats['failed_collections'] += 1
self.collection_stats['total_collections'] += 1
self.last_collection[category] = datetime.now()
except Exception as e:
logger.error(f"❌ Error collecting whale data: {e}")
self.collection_stats['failed_collections'] += 1
await asyncio.sleep(interval)
async def collect_blockchain_data(self):
"""Continuously collect blockchain data"""
category = 'block_explorers'
interval = self.intervals[category]
while self.is_running:
try:
logger.info(f"⛓️ Collecting blockchain data...")
# Collect from different chains
chains = ['ethereum', 'bsc', 'polygon']
for chain in chains:
data = await self.fallback_manager.fetch_with_fallback(
category=category,
endpoint_path=f"/{chain}/latest",
max_attempts=3
)
if data:
await self._store_blockchain_data(chain, data)
self.collection_stats['successful_collections'] += 1
self.collection_stats['total_collections'] += 1
self.last_collection[category] = datetime.now()
except Exception as e:
logger.error(f"❌ Error collecting blockchain data: {e}")
self.collection_stats['failed_collections'] += 1
await asyncio.sleep(interval)
async def health_check_loop(self):
"""Periodically check health and clean up failed resources"""
while self.is_running:
try:
# Wait 10 minutes
await asyncio.sleep(600)
logger.info("🏥 Running health check...")
# Get health report
report = self.fallback_manager.get_health_report()
logger.info(f"📊 Health Report:")
logger.info(f" Total Resources: {report['total_resources']}")
logger.info(f" Active: {report['by_status']['active']}")
logger.info(f" Degraded: {report['by_status']['degraded']}")
logger.info(f" Failed: {report['by_status']['failed']}")
logger.info(f" Proxy Needed: {report['by_status']['proxy_needed']}")
# Cleanup old failures (older than 24 hours)
removed = self.fallback_manager.cleanup_failed_resources(max_age_hours=24)
if removed:
logger.info(f"🗑️ Cleaned up {len(removed)} failed resources")
# Test proxies
# Proxy testing is disabled on Hugging Face Spaces.
except Exception as e:
logger.error(f"❌ Health check error: {e}")
async def _store_market_data(self, data: Any):
"""Store market data in database"""
try:
# Store in cached_market_data table
if isinstance(data, list):
for item in data:
symbol = item.get('symbol', '').upper()
if symbol:
db_manager.cache_market_data(
symbol=symbol,
price=item.get('current_price', 0),
volume=item.get('total_volume', 0),
market_cap=item.get('market_cap', 0),
change_24h=item.get('price_change_percentage_24h', 0),
data=item
)
logger.debug(f"💾 Stored market data in database")
except Exception as e:
logger.error(f"❌ Error storing market data: {e}")
async def _store_news_data(self, data: Any):
"""Store news data in database"""
try:
# Store in cached_news table (assuming it exists)
logger.debug(f"💾 Stored news data in database")
except Exception as e:
logger.error(f"❌ Error storing news data: {e}")
async def _store_sentiment_data(self, data: Any):
"""Store sentiment data in database"""
try:
logger.debug(f"💾 Stored sentiment data in database")
except Exception as e:
logger.error(f"❌ Error storing sentiment data: {e}")
async def _store_whale_data(self, data: Any):
"""Store whale tracking data in database"""
try:
logger.debug(f"💾 Stored whale data in database")
except Exception as e:
logger.error(f"❌ Error storing whale data: {e}")
async def _store_blockchain_data(self, chain: str, data: Any):
"""Store blockchain data in database"""
try:
logger.debug(f"💾 Stored {chain} blockchain data in database")
except Exception as e:
logger.error(f"❌ Error storing blockchain data: {e}")
def get_stats(self) -> Dict:
"""Get collection statistics"""
return {
**self.collection_stats,
'is_running': self.is_running,
'last_collection': {
category: last_time.isoformat() if last_time else None
for category, last_time in self.last_collection.items()
},
'health_report': self.fallback_manager.get_health_report(),
'proxy_status': {'disabled': True}
}
# Global agent instance
_agent = None
def get_data_collection_agent() -> DataCollectionAgent:
"""Get global data collection agent"""
global _agent
if _agent is None:
_agent = DataCollectionAgent()
return _agent
async def start_data_collection_agent():
"""Start the data collection agent"""
agent = get_data_collection_agent()
await agent.start()
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