intermediate backup

optimizer/forecasting/base.py

@@ -0,0 +1,22 @@
+# forecasting/base.py
+from typing import List, Dict, Any
+import pandas as pd
+import numpy as np
+
+
+class ForecastProvider:
+    def get_forecasts(self, 
+                    historical_data: pd.DataFrame,
+                    forecast_horizons: List[int],
+                    optimization_horizon: int) -> Dict[int, np.ndarray]:
+        """Returns forecasts for each requested horizon."""
+        pass
+
+    def get_required_lookback(self) -> int:
+        """Returns the minimum number of historical data points required."""
+        pass
+
+    def get_forecast_horizons(self) -> List[int]:
+        """Returns the list of forecast horizons."""
+        pass
+