Cleaned up Generate Unexclueded Function to keep its files in check

utils/pathfunctions.py

@@ -202,7 +202,7 @@ def allATpaths(url, pups, untrusted_publishers, badpathparts, threat_tolerance,
     import pandas as pd
 
     # Load raw data
-    hashes = pd.read_csv("allATPolicyExecs.csv")
+    hashes = pd.read_csv("exclusions\\allATPolicyExecs.csv")
 
     # Deduplicate hashes before augmentation
     deduped_hashes = hashes.drop_duplicates(subset=['sha256']).copy()
@@ -245,7 +245,7 @@ def allATpaths(url, pups, untrusted_publishers, badpathparts, threat_tolerance,
     if 'PolicyName_x' in final_augmented.columns:
         final_augmented = final_augmented.rename(columns={'PolicyName_x': 'PolicyName'})
 
-    final_augmented.to_csv("testing.csv", index=False)
+    final_augmented.to_csv("exclusions\\testing.csv", index=False)
 
     # Reputation flag logic
     def reputationtool(row):
@@ -306,21 +306,21 @@ def allATpaths(url, pups, untrusted_publishers, badpathparts, threat_tolerance,
     review_df = review_df.merge(sha_counts, on='longestcfp', how='left')
     review_df = review_df[review_df['unique_sha256_count'] >= min_files_for_path]
 
-    review_df.to_csv("ALL_AT_PATHS.csv", index=False)
+    review_df.to_csv("exclusions\\ALL_AT_PATHS.csv", index=False)
 
     # Cleanup
     del lcp_not_forbidden, sha_counts, review_df
 
 def mergeTesting():
     # Load the two CSVs
-    testing_df = pd.read_csv("testing.csv")
-    paths_df = pd.read_csv("ALL_AT_PATHS.csv")
+    testing_df = pd.read_csv("exclusions\\testing.csv")
+    paths_df = pd.read_csv("exclusions\\ALL_AT_PATHS.csv")
 
     # Merge on 'sha256' with testing as the left DataFrame
     merged_df = testing_df.merge(paths_df, on="sha256", how="left")
 
     # Save the merged result
-    merged_df.to_csv("merged_output.csv", index=False)
+    merged_df.to_csv("exclusions\\merged_output.csv", index=False)
 
     print(f"Merged DataFrame saved with {len(merged_df)} rows.")