IOTesting #19
+2
-8
@@ -433,15 +433,9 @@ def menu_prepare_to_enforce():
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allowbyhash.to_parquet(f"parquet\\final_hash_approvals_{first_policy}_{second_policy}.parquet", index=False)
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allowbyhash.to_parquet(f"parquet\\final_hash_approvals_{first_policy}_{second_policy}.parquet", index=False)
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easyview = allowbyhash.groupby('sha256').agg(list).reset_index()
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allowbyhash.sort_values(by=["filename"])
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# Deduplicate all list columns in easyview
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for col in easyview.columns:
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if col != 'sha256': # Skip the grouping column
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easyview[col] = easyview[col].apply(lambda x: list(set(x)))
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easyview = easyview.sort_values(by=["reputation_status", "filename"])
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ct.style_dataframe_dark(allowbyhash, f"preflight\\final_hash_approvals_{first_policy}_{second_policy}.html")
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ct.style_dataframe_dark(easyview, f"preflight\\final_hash_approvals_{first_policy}_{second_policy}.html")
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ct.style_dataframe_dark(pathexclusions, f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.html")
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ct.style_dataframe_dark(pathexclusions, f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.html")
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@@ -18,11 +18,6 @@ import os
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import ast
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import ast
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import re
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import re
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import os
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import pandas as pd
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import os
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import pandas as pd
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def split_filepaths_grouped(df, col="filename", group_parts=3, min_parts=3):
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def split_filepaths_grouped(df, col="filename", group_parts=3, min_parts=3):
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def clean_split(path):
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def clean_split(path):
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