1. import re
  3. def clean_cookies(cookie_string):
  4. """
  5. Cleans a cookie string for data migration. Handles various edge cases.
  7. Args:
  8. cookie_string: The raw cookie string to clean.
  10. Returns:
  11. A list of cleaned cookie dictionaries. Returns an empty list if input is invalid.
  12. """
  14. if not isinstance(cookie_string, str):
  15. return [] # Handle invalid input
  17. cleaned_cookies = []
  18. cookie_list = cookie_string.split(';')
  20. for cookie in cookie_list:
  21. cookie = cookie.strip() # Remove leading/trailing whitespace
  22. if not cookie:
  23. continue # Skip empty cookies
  25. try:
  26. name, value = cookie.split('=', 1) # Split into name and value
  27. name = name.strip().strip('"')
  28. value = value.strip().strip('"')
  30. # Handle potential issues with value containing '='
  31. value = re.sub(r'=', '', value)
  33. cleaned_cookies.append({
  34. 'name': name,
  35. 'value': value
  36. })
  37. except ValueError:
  38. # Handle cookies without '='
  39. print(f"Warning: Invalid cookie format: {cookie}. Skipping.")
  40. continue
  41. except Exception as e:
  42. print(f"Error processing cookie: {cookie}. Skipping. Error: {e}")
  43. continue
  45. return cleaned_cookies
  48. if __name__ == '__main__':
  49. # Example Usage
  50. cookie_data = """
  51. "name=value1"; name2=value2; name3=value3=with=equals;
  52. "name with spaces"=value with spaces;
  53. invalid cookie;
  54. """
  55. cleaned_data = clean_cookies(cookie_data)
  56. print(cleaned_data)

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