Create metrics_service.py

services/metrics_service.py

@@ -0,0 +1,22 @@
+# services/metrics_service.py
+
+import random
+
+# Define dummy anomaly types (same as videos you created)
+ANOMALY_TYPES = [
+    "Thermal Anomaly Detected",
+    "Panel Broken Detected",
+    "Human Intrusion Detected",
+    "Fire Detected",
+]
+
+# 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')}"