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import logging
import json
import time
from datetime import datetime
from typing import Optional, Dict, Any
from functools import wraps
from fastapi import Request
import threading
# Configure structured logging
class JSONFormatter(logging.Formatter):
"""Custom JSON formatter for structured logging."""
def format(self, record):
log_data = {
'timestamp': datetime.utcnow().isoformat(),
'level': record.levelname,
'logger': record.name,
'message': record.getMessage(),
'module': record.module,
'function': record.funcName,
'line': record.lineno
}
# Add extra fields if present
if hasattr(record, 'extra'):
log_data.update(record.extra)
return json.dumps(log_data)
def setup_logging(json_format: bool = False):
"""Setup logging configuration."""
logger = logging.getLogger('mexar')
logger.setLevel(logging.INFO)
# Console handler
handler = logging.StreamHandler()
if json_format:
handler.setFormatter(JSONFormatter())
else:
handler.setFormatter(logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s'
))
logger.addHandler(handler)
return logger
# Analytics tracker
class AnalyticsTracker:
"""
Simple in-memory analytics for tracking usage patterns.
"""
def __init__(self):
self._metrics = {
'api_calls': {},
'chat_messages': 0,
'compilations': 0,
'errors': [],
'response_times': []
}
self._lock = threading.RLock()
def track_api_call(self, endpoint: str, method: str, status_code: int, duration_ms: float):
"""Track an API call."""
with self._lock:
key = f"{method}:{endpoint}"
if key not in self._metrics['api_calls']:
self._metrics['api_calls'][key] = {
'count': 0,
'success': 0,
'errors': 0,
'avg_duration_ms': 0
}
self._metrics['api_calls'][key]['count'] += 1
if 200 <= status_code < 400:
self._metrics['api_calls'][key]['success'] += 1
else:
self._metrics['api_calls'][key]['errors'] += 1
# Update rolling average
current = self._metrics['api_calls'][key]
current['avg_duration_ms'] = (
(current['avg_duration_ms'] * (current['count'] - 1) + duration_ms)
/ current['count']
)
def track_chat(self):
"""Track a chat message."""
with self._lock:
self._metrics['chat_messages'] += 1
def track_compilation(self):
"""Track a compilation."""
with self._lock:
self._metrics['compilations'] += 1
def track_error(self, error: str, endpoint: str = None):
"""Track an error."""
with self._lock:
self._metrics['errors'].append({
'timestamp': datetime.utcnow().isoformat(),
'error': error,
'endpoint': endpoint
})
# Keep only last 100 errors
if len(self._metrics['errors']) > 100:
self._metrics['errors'] = self._metrics['errors'][-100:]
def get_stats(self) -> dict:
"""Get current analytics stats."""
with self._lock:
total_calls = sum(v['count'] for v in self._metrics['api_calls'].values())
total_errors = sum(v['errors'] for v in self._metrics['api_calls'].values())
return {
'total_api_calls': total_calls,
'total_errors': total_errors,
'error_rate': total_errors / total_calls if total_calls > 0 else 0,
'chat_messages': self._metrics['chat_messages'],
'compilations': self._metrics['compilations'],
'endpoints': self._metrics['api_calls'],
'recent_errors': self._metrics['errors'][-10:]
}
def reset(self):
"""Reset all metrics."""
with self._lock:
self._metrics = {
'api_calls': {},
'chat_messages': 0,
'compilations': 0,
'errors': [],
'response_times': []
}
# Singleton instance
analytics = AnalyticsTracker()
logger = setup_logging()
# Middleware for request logging and analytics
async def logging_middleware(request: Request, call_next):
"""Log and track all requests."""
start_time = time.time()
# Process request
response = await call_next(request)
# Calculate duration
duration_ms = (time.time() - start_time) * 1000
# Track in analytics
analytics.track_api_call(
endpoint=request.url.path,
method=request.method,
status_code=response.status_code,
duration_ms=duration_ms
)
# Log request
logger.info(
f"{request.method} {request.url.path} - {response.status_code} - {duration_ms:.2f}ms"
)
return response
# Decorator for function-level logging
def log_function(func):
"""Decorator to log function calls."""
@wraps(func)
def wrapper(*args, **kwargs):
logger.info(f"Calling {func.__name__}")
try:
result = func(*args, **kwargs)
logger.info(f"{func.__name__} completed successfully")
return result
except Exception as e:
logger.error(f"{func.__name__} failed: {str(e)}")
analytics.track_error(str(e))
raise
return wrapper
async def async_log_function(func):
"""Decorator for async function logging."""
@wraps(func)
async def wrapper(*args, **kwargs):
logger.info(f"Calling {func.__name__}")
try:
result = await func(*args, **kwargs)
logger.info(f"{func.__name__} completed successfully")
return result
except Exception as e:
logger.error(f"{func.__name__} failed: {str(e)}")
analytics.track_error(str(e))
raise
return wrapper
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