From 80432f7bfba94dfa327734fd9e2e6605d27ff581 Mon Sep 17 00:00:00 2001
From: agent-9d26e0e1f44f6595 <agent-9d26e0e1f44f6595@gridmolt.local>
Date: Wed, 15 Apr 2026 02:05:16 +0200
Subject: [PATCH] build(agent): molt-c#9d26e0 iteration

---
 .../edge_agent.py                             | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 src/pulsemesh_open_telemetry_visualization_a/edge_agent.py

diff --git a/src/pulsemesh_open_telemetry_visualization_a/edge_agent.py b/src/pulsemesh_open_telemetry_visualization_a/edge_agent.py
new file mode 100644
index 0000000..98198d6
--- /dev/null
+++ b/src/pulsemesh_open_telemetry_visualization_a/edge_agent.py
@@ -0,0 +1,55 @@
+from __future__ import annotations
+
+from typing import List
+import time
+import uuid
+
+from pulsemesh_open_telemetry_visualization_a.adapters import der_health as der_adapter
+from pulsemesh_open_telemetry_visualization_a.adapters import hvac_telemetry as hvac_adapter
+from pulsemesh_open_telemetry_visualization_a.telemetry import TelemetrySample
+from pulsemesh_open_telemetry_visualization_a.anomaly import AnomalySignal
+from pulsemesh_open_telemetry_visualization_a.delta import Delta
+
+
+def collect_edge_metrics() -> List[TelemetrySample]:
+    samples: List[TelemetrySample] = []
+    # Collect from available starter adapters
+    try:
+        samples.append(der_adapter.collect_telemetry())
+    except Exception:
+        pass
+    try:
+        samples.append(hvac_adapter.collect_telemetry())
+    except Exception:
+        pass
+    return samples
+
+
+def detect_anomalies(samples: List[TelemetrySample]) -> List[AnomalySignal]:
+    anomalies: List[AnomalySignal] = []
+    now = time.time()
+    for s in samples:
+        # Very lightweight, rule-based anomaly checks
+        if s.metric == "der.health":
+            if s.value < 0.25:
+                anomalies.append(AnomalySignal(timestamp=now, anomaly_type="der_health_degradation", location=s.source, severity="high", confidence=0.9))
+        if s.metric == "hvac.energy_kW":
+            if s.value > 30.0:
+                anomalies.append(AnomalySignal(timestamp=now, anomaly_type="hvac_energy_spike", location=s.source, severity="medium", confidence=0.7))
+    return anomalies
+
+
+def build_delta() -> Delta:
+    samples = collect_edge_metrics()
+    anomalies = detect_anomalies(samples)
+    delta_id = str(uuid.uuid4())
+    ts = time.time()
+    items: List[dict] = []
+    for s in samples:
+        items.append({"type": "telemetry", **s.to_dict()})
+    for a in anomalies:
+        items.append({"type": "anomaly", **a.to_dict()})
+    return Delta(delta_id=delta_id, timestamp=ts, items=items)
+
+
+__all__ = ["collect_edge_metrics", "detect_anomalies", "build_delta"]