REFACTOR - Database logic

shared/monitoring/metrics.py

@@ -100,6 +100,27 @@ class MetricsCollector:
                 self._histograms[name] = histogram
                 logger.info(f"Registered histogram: {name} for {self.service_name}")
                 return histogram
+            except ValueError as e:
+                if "Duplicated timeseries" in str(e):
+                    # Metric already exists in global registry, try to find it
+                    from prometheus_client import REGISTRY
+                    metric_name = f"{self.service_name.replace('-', '_')}_{name}"
+                    for collector in REGISTRY._collector_to_names.keys():
+                        if hasattr(collector, '_name') and collector._name == metric_name:
+                            self._histograms[name] = collector
+                            logger.warning(f"Reusing existing histogram: {name} for {self.service_name}")
+                            return collector
+                    # If we can't find it, create a new name with suffix
+                    import time
+                    suffix = str(int(time.time() * 1000))[-6:]  # Last 6 digits of timestamp
+                    histogram = Histogram(f"{self.service_name.replace('-', '_')}_{name}_{suffix}", 
+                                        documentation, labelnames=labels, buckets=buckets)
+                    self._histograms[name] = histogram
+                    logger.warning(f"Created histogram with suffix: {name}_{suffix} for {self.service_name}")
+                    return histogram
+                else:
+                    logger.error(f"Failed to register histogram {name} for {self.service_name}: {e}")
+                    raise
             except Exception as e:
                 logger.error(f"Failed to register histogram {name} for {self.service_name}: {e}")
                 raise
@@ -295,3 +316,14 @@ def setup_metrics_early(app, service_name: str = None) -> MetricsCollector:
     logger.info(f"Metrics setup completed for service: {service_name}")
     return metrics_collector
 
+
+# Additional helper function for endpoint tracking
+def track_endpoint_metrics(endpoint_name: str = None, service_name: str = None):
+    """Decorator for tracking endpoint metrics"""
+    def decorator(func):
+        def wrapper(*args, **kwargs):
+            # For now, just pass through - metrics are handled by middleware
+            return func(*args, **kwargs)
+        return wrapper
+    return decorator
+