Add daily derived data pipeline

pipeline/features/base.py

@@ -1,34 +1,8 @@
-"""Base class for daily feature plugins."""
+"""Compatibility alias for daily feature plugins.
 
-from abc import ABC, abstractmethod
+The canonical plugin API is ``pipeline.derived``. ``BaseFeature`` remains as an
+alias so existing external feature modules continue to register unchanged.
+"""
 
-import pandas as pd
+from pipeline.derived.base import BaseDerivedData as BaseFeature
 
-
-class BaseFeature(ABC):
-    """Aggregate raw minute bars into daily, symbol-keyed feature columns."""
-
-    #: Unique registry key. Every concrete feature must set this to a non-empty str.
-    name: str = ""
-
-    @abstractmethod
-    def compute(
-        self,
-        minute: pd.DataFrame,
-        daily: pd.DataFrame | None = None,
-    ) -> pd.DataFrame:
-        """Compute daily features.
-
-        Args:
-            minute: Raw minute bars with ``symbol_id`` and ``date`` keys.
-            daily: Optional daily data frame for calendar alignment or
-                reference daily columns.
-
-        Returns:
-            DataFrame with ``symbol_id``, ``date``, and one or more numeric
-            feature columns.
-        """
-
-    def __repr__(self) -> str:
-        params = ", ".join(f"{k}={v!r}" for k, v in vars(self).items())
-        return f"{type(self).__name__}({params})"