Add anomaly and performance monitoring

tests/api/test_actuators.py

@@ -1,13 +1,13 @@
 from __future__ import annotations
 
 from time import perf_counter
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 from pathlib import Path
 
 from fastapi.testclient import TestClient
 
 from app.actuators.lifecycle import ActuatorReconciliationService
-from app.actuators.models import ModelSnapshot
+from app.actuators.models import JobStatus, ModelSnapshot
 from app.actuators.store import ActuatorStore
 from app.behavior.engine import BehaviorEngine
 from app.config import Settings
@@ -407,7 +407,7 @@ def test_reconciliation_run_records_visible_job_queue(tmp_path: Path) -> None:
     assert payload["jobs"][-1]["status"] == "completed"
 
 
-def test_dashboard_start_path_stays_within_five_second_budget(tmp_path: Path) -> None:
+def test_dashboard_start_path_stays_within_three_second_budget(tmp_path: Path) -> None:
     with TestClient(app) as client:
         _install_service(tmp_path)
         client.get("/v1/actuators/discovery")
@@ -423,8 +423,38 @@ def test_dashboard_start_path_stays_within_five_second_budget(tmp_path: Path) ->
 
     assert root_response.status_code == 200
     assert dashboard_response.status_code == 200
-    assert root_elapsed < 5.0
-    assert dashboard_elapsed < 5.0
+    assert root_elapsed < 3.0
+    assert dashboard_elapsed < 3.0
+
+
+def test_dashboard_reports_performance_budget_and_anomalies(tmp_path: Path) -> None:
+    with TestClient(app) as client:
+        _install_service(tmp_path)
+        client.get("/v1/actuators/discovery")
+        client.post("/v1/actuators", json={"actuator_entity_id": "light.abstellkammer"})
+        store = app.state.actuator_store
+        job = store.start_job(kind="training", trigger="test", summary="Langsamer Testjob")
+        queue = store.load_job_queue()
+        queue.jobs = [
+            item.model_copy(update={"started_at": datetime.now(timezone.utc) - timedelta(seconds=4)})
+            if item.job_id == job.job_id
+            else item
+            for item in queue.jobs
+        ]
+        store._persist_job_queue(queue)
+        store.finish_job(job.job_id, status=JobStatus.COMPLETED, summary="Fertig")
+
+        dashboard_response = client.get("/v1/actuators/dashboard")
+        anomalies_response = client.get("/v1/actuators/anomalies")
+
+    assert dashboard_response.status_code == 200
+    system = dashboard_response.json()["system"]
+    assert system["performance_budget_ms"] == 3000
+    assert system["slow_job_count"] == 1
+    assert system["performance_status"] == "slow"
+    assert system["anomaly_count"] >= 1
+    assert anomalies_response.status_code == 200
+    assert anomalies_response.json()
 
 
 def test_discovery_reads_entities_once_and_reuses_them(tmp_path: Path) -> None: