'inspect submission files by hash' feature v0.1

inspect_submissions.py

@@ -0,0 +1,24 @@
+import os, sys
+import pandas as pd
+from datetime import datetime
+from utils.inspector import hash_submissions, suspicious_by_hash
+
+
+def main():
+    submissions_dir_name = ' '.join(sys.argv[1:]) if len(sys.argv) > 1 else exit(f'\nNo submissions dir name given. Provide the name as an argument.\n\nUsage: python {sys.argv[0]} [submissions dir name]\nExample: python {sys.argv[0]} AssignmentX\n')
+    submissions_dir_path = os.path.join('BB_submissions', submissions_dir_name)
+    if not os.path.isdir(submissions_dir_path):
+        exit(f'Directory {submissions_dir_path} does not exist.\nMake sure "{submissions_dir_name}" exists in "BB_submissions".')
+    else:
+        hashes_csv_file_path = hash_submissions(submissions_dir_path)
+        
+        csv = pd.read_csv(hashes_csv_file_path)
+        df = pd.DataFrame(csv)  # df with all files and their hashes
+        df_suspicious = suspicious_by_hash(df)  # df with all files with duplicate hash, excludes files from the same student id
+        csv_name = f'{submissions_dir_name}_suspicious_{datetime.now().strftime("%Y%m%d-%H%M%S")}.csv'
+        csv_out = os.path.join('csv', csv_name)
+        df_suspicious.to_csv(csv_out, index=False)
+
+
+if __name__ == '__main__':    
+    main()