unify production app configuration and ML routes

tests/api/test_ml_routes.py

@@ -0,0 +1,50 @@
+from __future__ import annotations
+
+from fastapi.testclient import TestClient
+
+from app.main import app
+
+
+def test_ml_routes_are_exposed_by_production_app() -> None:
+    with TestClient(app) as client:
+        health = client.get("/ml/health")
+        models = client.get("/ml/models")
+
+    assert health.status_code == 200
+    assert models.status_code == 200
+    assert models.json() == {"models": []}
+
+
+def test_unknown_model_returns_404() -> None:
+    with TestClient(app) as client:
+        response = client.post(
+            "/ml/predict",
+            json={
+                "modelId": "missing",
+                "sensor_id": "sensor.kitchen",
+                "values": {"temperature": 21.0},
+            },
+        )
+
+    assert response.status_code == 404
+
+
+def test_unsupported_sensor_returns_422(tmp_path) -> None:
+    from app.ml.registry.model_registry import ModelRegistry
+    from app.ml.training import TrainedArtifact
+
+    registry = ModelRegistry(tmp_path)
+    registry.register(TrainedArtifact("default", ("sensor.kitchen",)))
+
+    with TestClient(app) as client:
+        app.state.registry = registry
+        response = client.post(
+            "/ml/predict",
+            json={
+                "modelId": "default",
+                "sensor_id": "sensor.unknown",
+                "values": {"temperature": 21.0},
+            },
+        )
+
+    assert response.status_code == 422