trading-daemon/daemon.py

import time
import logging
import datetime
import os
import requests
from src.exchanges.eix import EIXExchange
from src.exchanges.ls import LSExchange
from src.database.questdb_client import DatabaseClient
from src.analytics.worker import AnalyticsWorker

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger("TradingDaemon")

DB_USER = os.getenv("DB_USER", "admin")
DB_PASSWORD = os.getenv("DB_PASSWORD", "quest")
DB_AUTH = (DB_USER, DB_PASSWORD) if DB_USER and DB_PASSWORD else None

def get_last_trade_timestamp(db_url, exchange_name):
    # QuestDB query: get the latest timestamp for a specific exchange
    query = f"trades where exchange = '{exchange_name}' latest by timestamp"
    try:
        # Using the /exec endpoint to get data
        response = requests.get(f"{db_url}/exec", params={'query': query}, auth=DB_AUTH)
        if response.status_code == 200:
            data = response.json()
            if data['dataset']:
                # QuestDB returns timestamp in micros since epoch by default in some views, or ISO
                ts_value = data['dataset'][0][0] # Adjust index based on column order
                if isinstance(ts_value, str):
                    return datetime.datetime.fromisoformat(ts_value.replace('Z', '+00:00'))
                else:
                    return datetime.datetime.fromtimestamp(ts_value / 1000000, tz=datetime.timezone.utc)
    except Exception as e:
        logger.debug(f"No existing data for {exchange_name} or DB unreachable: {e}")
    return datetime.datetime.min.replace(tzinfo=datetime.timezone.utc)

def run_task(historical=False):
    logger.info(f"Starting Trading Data Fetcher task (Historical: {historical})...")
    
    # Initialize exchanges
    eix = EIXExchange()
    ls = LSExchange()
    
    exchanges_to_process = [
        (eix, {'limit': None if historical else 5}), 
        (ls, {'include_yesterday': historical})
    ]
    
    db = DatabaseClient(host="questdb", user=DB_USER, password=DB_PASSWORD)

    for exchange, args in exchanges_to_process:
        try:
            db_url = "http://questdb:9000"
            last_ts = get_last_trade_timestamp(db_url, exchange.name)
            
            logger.info(f"Fetching data from {exchange.name} (Filtering trades older than {last_ts})...")
            
            # Special handling for EIX to support smart filtering
            call_args = args.copy()
            if exchange.name == "EIX" and not historical:
                 call_args['since_date'] = last_ts.replace(tzinfo=datetime.timezone.utc)
                 # Remove limit if we are filtering by date to ensure we get everything
                 if 'limit' in call_args:
                     call_args.pop('limit')
            
            trades = exchange.fetch_latest_trades(**call_args)
            
            # Deduplizierung: Nur Trades nehmen, die neuer sind als der letzte in der DB
            new_trades = [
                t for t in trades 
                if t.timestamp.replace(tzinfo=datetime.timezone.utc) > last_ts.replace(tzinfo=datetime.timezone.utc)
            ]
            
            logger.info(f"Found {len(trades)} total trades, {len(new_trades)} are new.")
            
            if new_trades:
                # Sort trades by timestamp before saving (QuestDB likes this)
                new_trades.sort(key=lambda x: x.timestamp)
                db.save_trades(new_trades)
                logger.info(f"Stored {len(new_trades)} new trades in QuestDB.")
        except Exception as e:
            logger.error(f"Error processing exchange {exchange.name}: {e}")

def run_analytics(db_url="questdb", db_port=9000):
   try:
       worker = AnalyticsWorker(db_host=db_url, db_port=db_port, auth=DB_AUTH)
       worker.initialize_tables()
       worker.run_aggregation()
   except Exception as e:
       logger.error(f"Analytics aggregation failed: {e}")

def main():
    logger.info("Trading Daemon started.")
    
    # 1. Startup Check: Ist die DB leer?
    db_url = "http://questdb:9000"
    is_empty = True
    try:
        # Prüfe ob bereits Trades in der Tabelle sind
        response = requests.get(f"{db_url}/exec", params={'query': 'select count(*) from trades'}, auth=DB_AUTH)
        if response.status_code == 200:
            data = response.json()
            if data['dataset'] and data['dataset'][0][0] > 0:
                is_empty = False
    except Exception:
        # Falls Tabelle noch nicht existiert oder DB nicht erreichbar ist
        is_empty = True

    if is_empty:
        logger.info("Database is empty or table doesn't exist. Triggering initial historical fetch...")
        run_task(historical=True)
        run_analytics()
    else:
        logger.info("Found existing data in database. Triggering catch-up sync...")
        # Run a normal task to fetch any missing data since the last run
        run_task(historical=False)
        run_analytics()
        logger.info("Catch-up sync completed. Waiting for scheduled run at 23:00.")
    
    while True:
        now = datetime.datetime.now()
        # Täglich um 23:00 Uhr
        if now.hour == 23 and now.minute == 0:
            run_task(historical=False)
            run_analytics()
            # Warte 61s, um Mehrfachausführung in derselben Minute zu verhindern
            time.sleep(61)
        
        # Check alle 30 Sekunden
        time.sleep(30)

if __name__ == "__main__":
    main()