1. from datetime import datetime, timedelta
  3. def validate_timestamps(data, expected_format="%Y-%m-%d %H:%M:%S"):
  4. """
  5. Validates a nested structure of timestamps.
  6. """
  7. def is_valid_timestamp(timestamp_value):
  8. """Checks if a single timestamp value is valid."""
  9. if not isinstance(timestamp_value, str):
  10. return False # Must be a string
  11. try:
  12. datetime.strptime(timestamp_value, expected_format)
  13. return True
  14. except ValueError:
  15. return False
  17. def validate_level(data_level):
  18. """Validates a single level of the nested structure."""
  19. if isinstance(data_level, list):
  20. for item in data_level:
  21. if not validate_level(item):
  22. return False
  23. return True
  24. elif isinstance(data_level, dict):
  25. for key, value in data_level.items():
  26. if not validate_level(value):
  27. return False
  28. return True
  29. elif isinstance(data_level, str):
  30. return is_valid_timestamp(data_level)
  31. elif isinstance(data_level, datetime):
  32. return True # Already a datetime object
  33. else:
  34. return True # Consider non-string/list/dict as valid
  36. return validate_level(data)
  38. if __name__ == '__main__':
  39. # Example Usage
  40. data1 = [
  41. "2023-10-26 10:00:00",
  42. {"event": "start", "time": "2023-10-26 10:05:00"},
  43. [1,2, "2023-10-26 10:10:00"]
  44. ]
  45. print(f"Data 1 is valid: {validate_timestamps(data1)}")
  47. data2 = {
  48. "start_time": "2023-10-26 10:00:00",
  49. "end_time": "2023-10-26 10:10:00",
  50. "intermediate": [
  51. "invalid_format",
  52. {"another_time": "2023-10-26 10:05:00"}
  53. ]
  54. }
  55. print(f"Data 2 is valid: {validate_timestamps(data2)}")
  57. data3 = [datetime(2023, 10, 26, 10, 0, 0), "2023-10-26 10:15:00"]
  58. print(f"Data 3 is valid: {validate_timestamps(data3)}")

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