Delete app/services/metrics.py

app/services/metrics.py

@@ -1,74 +0,0 @@
-# app/monitoring/metrics.py
-import time
-from typing import Dict, Any
-from starlette.middleware.base import BaseHTTPMiddleware
-from starlette.requests import Request
-from starlette.responses import Response
-
-
-# =========================
-# Simple Metrics Storage
-# =========================
-_metrics: Dict[str, Any] = {
-    "total_requests": 0,
-    "requests_by_endpoint": {},
-    "requests_by_status": {},
-    "total_latency_ms": 0.0,
-    "start_time": time.time(),
-}
-
-
-# =========================
-# Metrics Middleware
-# =========================
-class MetricsMiddleware(BaseHTTPMiddleware):
-    """Middleware to collect request metrics"""
-    
-    async def dispatch(self, request: Request, call_next):
-        start_time = time.time()
-        
-        # Process request
-        response = await call_next(request)
-        
-        # Calculate latency
-        process_time = (time.time() - start_time) * 1000  # ms
-        
-        # Update metrics
-        _metrics["total_requests"] += 1
-        _metrics["total_latency_ms"] += process_time
-        
-        endpoint = request.url.path
-        _metrics["requests_by_endpoint"][endpoint] = (
-            _metrics["requests_by_endpoint"].get(endpoint, 0) + 1
-        )
-        
-        status = str(response.status_code)
-        _metrics["requests_by_status"][status] = (
-            _metrics["requests_by_status"].get(status, 0) + 1
-        )
-        
-        return response
-
-
-# =========================
-# Metrics Endpoint
-# =========================
-def metrics_endpoint(request: Request) -> Dict[str, Any]:
-    """
-    Return metrics in JSON format.
-    Compatible with Prometheus text format if needed.
-    """
-    uptime = time.time() - _metrics["start_time"]
-    avg_latency = (
-        _metrics["total_latency_ms"] / _metrics["total_requests"]
-        if _metrics["total_requests"] > 0
-        else 0.0
-    )
-    
-    return {
-        "total_requests": _metrics["total_requests"],
-        "requests_by_endpoint": _metrics["requests_by_endpoint"],
-        "requests_by_status": _metrics["requests_by_status"],
-        "average_latency_ms": round(avg_latency, 2),
-        "uptime_seconds": round(uptime, 2),
-    }