vangef/BBGradebookOrganiser
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Code Issues Releases Activity

terminal output improvements + flush=True for print()

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vangef
2024-02-23 21:23:23 +00:00
parent 08281194c2
commit bf7aaa12f2
4 changed files with 24 additions and 23 deletions
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14
utils/inspector.py
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@@ -11,18 +11,18 @@ from utils.settings import CSV_DIR
def load_excluded_filenames(submissions_dir_name: str) -> list[str]: # helper function for hashing all files
csv_file_path = os.path.join(CSV_DIR, f'{submissions_dir_name}_excluded.csv')
if not os.path.exists(csv_file_path): # if csv file with excluded file names for submission does not exist
print(f'[WARNING] Cannot find CSV file with list of excluded file names: {csv_file_path}\n[INFO] All files will be hashed & inspected')
print(f'[WARNING] Cannot find CSV file with list of excluded file names: {csv_file_path}\n[INFO] All files will be hashed & inspected', flush=True)
return [] # return empty list to continue without any excluded file names
else: # if csv file with excluded file names for submission exists
try:
df = pd.read_csv(csv_file_path)
filename_list = df['exclude_filename'].tolist() # get the values of the 'filename' column as a list
filename_list = [ f.lower() for f in filename_list ] # convert to lowercase for comparison with submission files
print(f'[INFO] Using CSV file with list of excluded file names: {csv_file_path}')
print(f'[INFO] Using CSV file with list of excluded file names: {csv_file_path}', flush=True)
return filename_list
except Exception as e: # any exception, print error and return empty list to continue without any excluded file names
print(f'[WARNING] Unable to load / read CSV file with list of excluded file names: {csv_file_path}\n[INFO] All files will be hashed & inspected')
print(f'[INFO] Error message: {e}')
print(f'[WARNING] Unable to load / read CSV file with list of excluded file names: {csv_file_path}\n[INFO] All files will be hashed & inspected', flush=True)
print(f'[INFO] Error message: {e}', flush=True)
return []
@@ -61,7 +61,7 @@ def generate_hashes_gradebook(gradebook_dir_path: str) -> str: # main function
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerows(dicts_with_hashes_list)
print(f'[INFO] Created CSV file with all files & hashes in gradebook: {gradebook_dir_name}\nCSV file: {csv_file_path}')
print(f'[INFO] Created CSV file with all files & hashes in gradebook: {gradebook_dir_name}\nCSV file: {csv_file_path}', flush=True)
return csv_file_path
@@ -95,7 +95,7 @@ def generate_hashes_submissions(submissions_dir_path: str) -> str: # main funct
writer.writeheader()
for student_dict in dicts_with_hashes_list:
writer.writerows(student_dict)
print(f'[INFO] Created CSV file with all files & hashes for submissions in: {submissions_dir_name}\nCSV file: {csv_file_path}')
print(f'[INFO] Created CSV file with all files & hashes for submissions in: {submissions_dir_name}\nCSV file: {csv_file_path}', flush=True)
return csv_file_path
@@ -119,7 +119,7 @@ def generate_duplicate_hashes_generic(hashes_csv_file_path: str, drop_columns: l
csv_out = hashes_csv_file_path.rsplit('_', 1)[0].replace('file_hashes', 'duplicate_') + datetime.now().strftime("%Y%m%d-%H%M%S") + '.csv'
try:
df_duplicate.to_csv(csv_out, index=False)
print(f'[INFO] Created CSV file with duplicate hashes in {gradebook_or_submissions_str}: {assignment_name}\nCSV file: {csv_out}')
print(f'[INFO] Created CSV file with duplicate hashes in {gradebook_or_submissions_str}: {assignment_name}\nCSV file: {csv_out}', flush=True)
except Exception as e:
exit(f'[ERROR] Something went wrong while trying to save csv file with duplicate hashes\nError message: {e}')