init

pipeline/generators/helpers.py

@@ -0,0 +1,6 @@
+import pandas as pd
+from typings import List
+
+def must_have_columns(df: pd.DataFrame, columns: List[str]):
+    if not all(col in df.columns for col in columns):
+        raise ValueError(f"DataFrame is missing required columns: {columns}")