MemOpt #18
+2
-2
@@ -372,8 +372,8 @@ def menu_prepare_to_enforce():
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if os.path.exists(f"dataframe_csv\\allinfo_{first_policy}_{second_policy}.csv") and os.path.exists(f"manuallyapproved\\lcf_needs_approved_{first_policy}_{second_policy}.csv"):
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df1 = tryToReadCSV(f"dataframe_csv\\allinfo_{first_policy}_{second_policy}.csv")
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pathexclusions,allowbyhash = utils.pathfunctions.mask_from_csv(df1, f"manuallyapproved\\lcf_needs_approved_{first_policy}_{second_policy}.csv","longestcfp")
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allowbyhash = utils.pathfunctions.mask_from_csv(df1, f"manuallyapproved\\lcf_needs_approved_{first_policy}_{second_policy}.csv","longestcfp")
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pathexclusions = tryToReadCSV(f"manuallyapproved\\lcf_needs_approved_{first_policy}_{second_policy}.csv")
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pathexclusions.to_csv(f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.csv", index=False)
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ct.style_dataframe_dark(pathexclusions, f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.html")
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@@ -116,7 +116,7 @@ def mask_from_csv(df, csv_path, filepath_col):
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# Keep only rows in df that are in approved_files
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masked_df = df[df[filepath_col].isin(approved_files)].copy()
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remainder = df[~df[filepath_col].isin(approved_files)].copy()
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return masked_df, remainder
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return remainder
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def filter_and_drop(approved, eligiblepaths, min_hashes):
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