| import csv
|
| import argparse
|
| import json
|
| from datetime import datetime
|
| import os
|
|
|
|
|
| def validate_fake_companies(file_path, expected_num_companies=5, result_file=None):
|
| if not file_path.lower().endswith('.csv'):
|
| msg = f"Error: File {file_path} is not a CSV file."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=False)
|
| return False
|
|
|
| try:
|
| with open(file_path, 'r', encoding='utf-8') as file:
|
| reader = csv.DictReader(file)
|
| rows = list(reader)
|
| except Exception as e:
|
| msg = f"Error: Unable to read file {file_path}, reason: {str(e)}"
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=False)
|
| return False
|
|
|
| if not rows:
|
| msg = "Error: CSV file is empty or contains no valid data rows."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=True)
|
| return False
|
|
|
| if len(rows) != expected_num_companies:
|
| msg = f"Error: Expected {expected_num_companies} records, but got {len(rows)}."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=True)
|
| return False
|
|
|
| required_fields = ['company name', 'address', 'phone']
|
| for idx, row in enumerate(rows, 1):
|
| normalized_row = {k.lower().strip(): v.strip() for k, v in row.items()}
|
|
|
| for field in required_fields:
|
| if field not in normalized_row:
|
| msg = f"Error: Row {idx} is missing field '{field}'."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=True)
|
| return False
|
|
|
| value = normalized_row[field]
|
| if not value:
|
| msg = f"Error: Row {idx} has empty value for field '{field}'."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=True)
|
| return False
|
|
|
|
|
| if field == "phone" and not any(char.isdigit() for char in value):
|
| msg = f"Error: Row {idx} field 'Phone' should contain digits."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=True)
|
| return False
|
| if field == "company name" and value.isdigit():
|
| msg = f"Error: Row {idx} field 'Company Name' should not be all digits."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=True)
|
| return False
|
| if field == "address" and len(value) < 5:
|
| msg = f"Error: Row {idx} field 'Address' seems too short to be valid."
|
| print(msg)
|
| if result_file:
|
| record_result(result_file, False, msg, process_success=True)
|
| return False
|
|
|
| success_msg = f"All {expected_num_companies} company records passed structural and content checks."
|
| print(success_msg)
|
| if result_file:
|
| record_result(result_file, True, success_msg, process_success=True)
|
| return True
|
|
|
|
|
| def record_result(result_file, result, comments, process_success=True):
|
|
|
| time_point = datetime.now().strftime('%Y-%m-%dT%H:%M:%S')
|
|
|
|
|
| result_data = {
|
| "Process": process_success,
|
| "Result": result,
|
| "TimePoint": time_point,
|
| "comments": comments
|
| }
|
|
|
|
|
| try:
|
|
|
| with open(result_file, 'a', encoding='utf-8') as file:
|
| json.dump(result_data, file, ensure_ascii=False, default=str)
|
| file.write('\n')
|
| except Exception as e:
|
| print(f"Error: Unable to write to result file {result_file}, reason: {str(e)}")
|
|
|
|
|
| if __name__ == "__main__":
|
| parser = argparse.ArgumentParser(description="Validate generated fake company data")
|
| parser.add_argument('--output', type=str, required=True, help="Path to generated CSV file")
|
| parser.add_argument('--result', type=str, required=False, help="Path to save results in jsonl format",
|
| default="test_results.jsonl")
|
| args = parser.parse_args()
|
|
|
|
|
| validate_fake_companies(args.output, result_file=args.result) |
