fixed breaking changes
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+6
-6
@@ -92,8 +92,8 @@ def menu_feature2():
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print("Invalid choice. Please try again.")
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def menu_prepare_to_enforce():
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first_policy = ""
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second_policy = ""
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first_policy = [""]
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second_policy = [""]
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history_staged = False
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hashes_threat_pulled = False
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hashes_categorized = False
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@@ -104,8 +104,8 @@ def menu_prepare_to_enforce():
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while True:
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print("\n--- Prepare to Enforce Policy ---")
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print("Sequentually follow steps to prepare for policy enforcement")
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print("1. Choose first policy, Typically the audit version of the policy - Currently selected first policy is: " + str(first_policy))
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print("2. Choose second policy, If an enforcement policy of that type exists, include it here - Currently selected second policy is: " + str(second_policy))
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print("1. Choose first policy, Typically the audit version of the policy - Currently selected first policy is: " + str([first_policy[0]]))
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print("2. Choose second policy, If an enforcement policy of that type exists, include it here - Currently selected second policy is: " + str(second_policy[0]))
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print("3. Pull and stage event history for the selected policies - This step has been done - " + str(history_staged))
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print("4. Pull Hash info - This step has been done - " + str(hashes_threat_pulled))
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print("5. Determine if path exclusions are possible: - This step has been done - " + str(path_exclusions_calculated))
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@@ -121,8 +121,8 @@ def menu_prepare_to_enforce():
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second_policy = utils.allowlist.listPolicies(url)
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elif choice == "3":
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executionhist_policy1 = utils.allowlist.pullPolicyExechistories(url,first_policy,True)
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executionhist_policy2 = utils.allowlist.pullPolicyExechistories(url,second_policy,True)
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executionhist_policy1 = utils.allowlist.pullPolicyExechistories(url,first_policy[0], first_policy[1],True)
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executionhist_policy2 = utils.allowlist.pullPolicyExechistories(url,second_policy[0], second_policy[1],True)
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df_aggregated_policy1 = utils.hashfunctions.aggregateHashes(executionhist_policy1)
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df_aggregated_policy2 = utils.hashfunctions.aggregateHashes(executionhist_policy2)
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df_aggregated_combo= pd.concat([df_aggregated_policy1, df_aggregated_policy2], ignore_index=True)
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