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import logging
import logging.handlers
import json
import os
from datetime import datetime
from typing import Dict, Any, Optional
import yaml
try:
settings = yaml.safe_load(open("config/settings.yaml"))
except:
settings = {"telegram": {"enabled": False}}
class ScalperLogger:
def __init__(self):
self.setup_logging()
self.trade_logs = []
self.signal_logs = []
self.error_logs = []
def setup_logging(self):
os.makedirs("logs", exist_ok=True)
self.logger = logging.getLogger('scalper')
self.logger.setLevel(logging.DEBUG)
self.logger.handlers.clear()
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.INFO)
console_formatter = logging.Formatter(
'%(asctime)s - %(levelname)s - %(message)s'
)
console_handler.setFormatter(console_formatter)
self.logger.addHandler(console_handler)
file_handler = logging.handlers.RotatingFileHandler(
'logs/scalper.log',
maxBytes=10*1024*1024,
backupCount=5
)
file_handler.setLevel(logging.DEBUG)
file_formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(funcName)s:%(lineno)d - %(message)s'
)
file_handler.setFormatter(file_formatter)
self.logger.addHandler(file_handler)
trade_handler = logging.handlers.RotatingFileHandler(
'logs/trades.log',
maxBytes=5*1024*1024,
backupCount=3
)
trade_handler.setLevel(logging.INFO)
trade_formatter = logging.Formatter(
'%(asctime)s - TRADE - %(message)s'
)
trade_handler.setFormatter(trade_formatter)
trade_handler.addFilter(self._trade_filter)
self.logger.addHandler(trade_handler)
error_handler = logging.handlers.RotatingFileHandler(
'logs/errors.log',
maxBytes=5*1024*1024,
backupCount=3
)
error_handler.setLevel(logging.ERROR)
error_formatter = logging.Formatter(
'%(asctime)s - ERROR - %(message)s'
)
error_handler.setFormatter(error_formatter)
self.logger.addHandler(error_handler)
def _trade_filter(self, record):
return 'TRADE' in record.getMessage() or 'SIGNAL' in record.getMessage()
def log_signal(self, symbol: str, signal: str, confidence: float, price: float,
strategy_details: Optional[Dict[str, Any]] = None):
try:
signal_data = {
'timestamp': datetime.now().isoformat(),
'symbol': symbol,
'signal': signal,
'confidence': confidence,
'price': price,
'strategy_details': strategy_details or {}
}
self.signal_logs.append(signal_data)
if len(self.signal_logs) > 1000:
self.signal_logs = self.signal_logs[-1000:]
self._save_signals_to_file()
self.logger.info(f"SIGNAL - {symbol}: {signal} (conf: {confidence:.2f}) at {price}")
except Exception as e:
self.logger.error(f"Error logging signal: {e}")
def log_trade(self, symbol: str, side: str, qty: float, price: float,
order_type: str = "MARKET", pnl: Optional[float] = None,
reason: str = "signal"):
try:
trade_data = {
'timestamp': datetime.now().isoformat(),
'symbol': symbol,
'side': side,
'quantity': qty,
'price': price,
'order_type': order_type,
'pnl': pnl,
'reason': reason
}
self.trade_logs.append(trade_data)
if len(self.trade_logs) > 1000:
self.trade_logs = self.trade_logs[-1000:]
self._save_trades_to_file()
pnl_str = f" (PnL: {pnl:.2f})" if pnl is not None else ""
self.logger.info(f"TRADE - {symbol}: {side} {qty} at {price}{pnl_str}")
except Exception as e:
self.logger.error(f"Error logging trade: {e}")
def log_error(self, error_type: str, message: str, details: Optional[Dict[str, Any]] = None):
try:
error_data = {
'timestamp': datetime.now().isoformat(),
'type': error_type,
'message': message,
'details': details or {}
}
self.error_logs.append(error_data)
if len(self.error_logs) > 500:
self.error_logs = self.error_logs[-500:]
self._save_errors_to_file()
self.logger.error(f"{error_type.upper()}: {message}")
except Exception as e:
print(f"Critical logging error: {e}")
def log_performance(self, symbol: str, period: str, metrics: Dict[str, Any]):
try:
perf_data = {
'timestamp': datetime.now().isoformat(),
'symbol': symbol,
'period': period,
'metrics': metrics
}
self._save_performance_to_file(perf_data)
metrics_str = ", ".join([f"{k}: {v:.2f}" if isinstance(v, (int, float)) else f"{k}: {v}"
for k, v in metrics.items()])
self.logger.info(f"PERFORMANCE - {symbol} ({period}): {metrics_str}")
except Exception as e:
self.logger.error(f"Error logging performance: {e}")
def _save_signals_to_file(self):
try:
with open('logs/signals.json', 'w') as f:
json.dump(self.signal_logs, f, indent=2)
except Exception as e:
self.logger.error(f"Error saving signals: {e}")
def _save_trades_to_file(self):
try:
with open('logs/trades.json', 'w') as f:
json.dump(self.trade_logs, f, indent=2)
except Exception as e:
self.logger.error(f"Error saving trades: {e}")
def _save_errors_to_file(self):
try:
with open('logs/errors.json', 'w') as f:
json.dump(self.error_logs, f, indent=2)
except Exception as e:
print(f"Error saving errors: {e}")
def _save_performance_to_file(self, perf_data: Dict[str, Any]):
try:
with open('logs/performance.jsonl', 'a') as f:
json.dump(perf_data, f)
f.write('\n')
except Exception as e:
self.logger.error(f"Error saving performance: {e}")
def get_recent_signals(self, limit: int = 50) -> list:
return self.signal_logs[-limit:]
def get_recent_trades(self, limit: int = 50) -> list:
return self.trade_logs[-limit:]
def get_error_summary(self) -> Dict[str, int]:
summary = {}
for error in self.error_logs:
error_type = error.get('type', 'unknown')
summary[error_type] = summary.get(error_type, 0) + 1
return summary
def get_trade_statistics(self) -> Dict[str, Any]:
if not self.trade_logs:
return {'total_trades': 0, 'win_rate': 0.0, 'total_pnl': 0.0}
total_trades = len(self.trade_logs)
winning_trades = sum(1 for trade in self.trade_logs if trade.get('pnl', 0) > 0)
total_pnl = sum(trade.get('pnl', 0) for trade in self.trade_logs)
return {
'total_trades': total_trades,
'win_rate': winning_trades / total_trades if total_trades > 0 else 0.0,
'total_pnl': total_pnl,
'avg_pnl_per_trade': total_pnl / total_trades if total_trades > 0 else 0.0
}
logger_instance = ScalperLogger()
def log(message: str, level: str = "info"):
if level.lower() == "debug":
logger_instance.logger.debug(message)
elif level.lower() == "info":
logger_instance.logger.info(message)
elif level.lower() == "warning":
logger_instance.logger.warning(message)
elif level.lower() == "error":
logger_instance.logger.error(message)
elif level.lower() == "critical":
logger_instance.logger.critical(message)
def log_signal(symbol: str, signal: str, confidence: float, price: float,
strategy_details: Optional[Dict[str, Any]] = None):
logger_instance.log_signal(symbol, signal, confidence, price, strategy_details)
def log_trade(symbol: str, side: str, qty: float, price: float,
order_type: str = "MARKET", pnl: Optional[float] = None,
reason: str = "signal"):
logger_instance.log_trade(symbol, side, qty, price, order_type, pnl, reason)
def log_error(error_type: str, message: str, details: Optional[Dict[str, Any]] = None):
logger_instance.log_error(error_type, message, details)
def log_performance(symbol: str, period: str, metrics: Dict[str, Any]):
logger_instance.log_performance(symbol, period, metrics)
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