feat(application): integrate measured-load ingestion training and planner source

services/netplan-v4/acceptance/forecast-src/methods/common.py

@@ -0,0 +1,32 @@
+import os
+import joblib
+
+MODEL_DIR = "/app/data/models"
+
+
+def model_path(aid, forecast_id):
+    os.makedirs(MODEL_DIR, exist_ok=True)
+    return os.path.join(MODEL_DIR, f"forecast_var_{forecast_id}_{aid}.pkl")
+
+
+def save_model(aid, forecast_id, artifact):
+    path = model_path(aid, forecast_id)
+    tmp_path = f"{path}.tmp.{os.getpid()}"
+    try:
+        joblib.dump(artifact, tmp_path)
+        os.replace(tmp_path, path)
+    finally:
+        if os.path.exists(tmp_path):
+            os.remove(tmp_path)
+    return path
+
+
+def load_model(aid, forecast_id):
+    path = model_path(aid, forecast_id)
+    if not os.path.exists(path):
+        return None
+    try:
+        return joblib.load(path)
+    except Exception as exc:
+        print(f"Modell {path} konnte nicht geladen werden: {exc}")
+        return None