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