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import pandas as pd
import argparse
import re
import os
import constants
from utils import parse_string
def check_file(filename):
if not filename.lower().endswith('.csv'):
raise ValueError("Only CSV files are allowed.")
if not os.path.exists(filename):
raise FileNotFoundError("Filepath: {} invalid or not found.".format(filename))
def sanity_check(test_filename, output_filename):
check_file(test_filename)
check_file(output_filename)
try:
test_df = pd.read_csv(test_filename)
output_df = pd.read_csv(output_filename)
except Exception as e:
raise ValueError(f"Error reading the CSV files: {e}")
if 'index' not in test_df.columns:
raise ValueError("Test CSV file must contain the 'index' column.")
if 'index' not in output_df.columns or 'prediction' not in output_df.columns:
raise ValueError("Output CSV file must contain 'index' and 'prediction' columns.")
missing_index = set(test_df['index']).difference(set(output_df['index']))
if len(missing_index) != 0:
print("Missing index in test file: {}".format(missing_index))
extra_index = set(output_df['index']).difference(set(test_df['index']))
if len(extra_index) != 0:
print("Extra index in test file: {}".format(extra_index))
output_df.apply(lambda x: parse_string(x['prediction']), axis=1)
print("Parsing successfull for file: {}".format(output_filename))
if __name__ == "__main__":
#Usage example: python sanity.py --test_filename sample_test.csv --output_filename sample_test_out.csv
parser = argparse.ArgumentParser(description="Run sanity check on a CSV file.")
parser.add_argument("--test_filename", type=str, required=True, help="The test CSV file name.")
parser.add_argument("--output_filename", type=str, required=True, help="The output CSV file name to check.")
args = parser.parse_args()
try:
sanity_check(args.test_filename, args.output_filename)
except Exception as e:
print('Error:', e) |