new dummy function

utils/pathfunctions.py

@@ -72,18 +72,16 @@ def add_longest_common_two_local(df, col="filename_x", new_col="longestcfp", min
     return df
 
 
-def export_groups_for_review(df, col="filename_x", group_col="longestcfp", csv_path="filegroups_review.csv"):
+def export_groups_for_review(df, col="filename_x", group_col="longestcfp"):
     """
     Compute longest common paths, group filepaths, write CSV for review.
     """
     df = add_longest_common_two_local(df, col=col, new_col=group_col)
     grouped = df.groupby(group_col)[col].apply(list).reset_index()
-    grouped.to_csv(csv_path, index=False)
-    print(f"Grouped file list saved to: {csv_path}")
     return grouped, df
 
 
-def mask_from_csv(df, csv_path, filepath_col="filename_x", group_col="longestcfp"):
+def mask_from_csv(df, csv_path, filepath_col):
     """
     Reads reviewed CSV of groups, keeps only files in approved groups.
     """
@@ -98,7 +96,8 @@ def mask_from_csv(df, csv_path, filepath_col="filename_x", group_col="longestcfp
     
     # Keep only rows in df that are in approved_files
     masked_df = df[df[filepath_col].isin(approved_files)].copy()
-    return masked_df
+    remainder = df[~df[filepath_col].isin(approved_files)].copy()
+    return masked_df, remainder
 
 def filter_and_drop(approved, eligiblepaths, min_hashes):
     """