Update services/metrics_service.py

services/metrics_service.py

@@ -1,22 +1,25 @@
 # services/metrics_service.py
 
-import random
+metrics = {
+    "Frames Processed": 0,
+    "Anomalies Detected": 0,
+    "Last Detected Anomaly": "None"
+}
 
-# Define dummy anomaly types (same as videos you created)
-ANOMALY_TYPES = [
-    "Thermal Anomaly Detected",
-    "Panel Broken Detected",
-    "Human Intrusion Detected",
-    "Fire Detected",
-]
+def reset_metrics():
+    metrics["Frames Processed"] = 0
+    metrics["Anomalies Detected"] = 0
+    metrics["Last Detected Anomaly"] = "None"
 
-# You can expand metrics here
-def get_live_metrics(anomaly_type):
-    """Simulate live metrics based on anomaly type."""
-    metrics = {
-        "Thermal Anomaly Detected": f"🔥 Hotspot Temperature: {random.randint(70, 120)} °C",
-        "Panel Broken Detected": f"⚡ Broken Panels: {random.randint(1, 3)} detected",
-        "Human Intrusion Detected": f"🚶 People Count: {random.randint(1, 2)} moving in area",
-        "Fire Detected": f"🚒 Fire Alert Level: {random.randint(5, 10)} / 10",
-    }
-    return f"**{anomaly_type}**\n\n{metrics.get(anomaly_type, 'No anomaly detected')}"
+def update_metrics(detected, anomaly_name="None"):
+    metrics["Frames Processed"] += 1
+    if detected:
+        metrics["Anomalies Detected"] += 1
+        metrics["Last Detected Anomaly"] = anomaly_name
+
+def get_metrics_text():
+    return (
+        f"📈 Frames Processed: {metrics['Frames Processed']}\n"
+        f"🚨 Anomalies Detected: {metrics['Anomalies Detected']}\n"
+        f"⚡ Last Anomaly: {metrics['Last Detected Anomaly']}"
+    )