1. import json
  2. import time
  3. import logging
  5. class TokenManager:
  6. def __init__(self, dry_run=True, token_file="tokens.json"):
  7. self.dry_run = dry_run
  8. self.token_file = token_file
  9. self.tokens = self._load_tokens()
  10. self.logger = logging.getLogger(__name__)
  12. def _load_tokens(self):
  13. """Loads tokens from a JSON file."""
  14. try:
  15. with open(self.token_file, "r") as f:
  16. return json.load(f)
  17. except FileNotFoundError:
  18. self.logger.warning(f"Token file not found: {self.token_file}. Returning empty token list.")
  19. return {}
  20. except json.JSONDecodeError:
  21. self.logger.error(f"Error decoding JSON from {self.token_file}. Returning empty token list.")
  22. return {}
  24. def get_token(self, service_name):
  25. """Retrieves a token for a given service."""
  26. if service_name not in self.tokens:
  27. if not self.dry_run:
  28. self.logger.error(f"No token found for service: {service_name}")
  29. raise ValueError(f"No token found for service: {service_name}")
  30. else:
  31. self.logger.info(f"Dry-run: No token found for service: {service_name}")
  32. return None # or a placeholder value
  33. return self.tokens[service_name]
  35. def validate_token(self, service_name, token):
  36. """Validates a token (dry-run only)."""
  37. if self.dry_run:
  38. self.logger.info(f"Dry-run: Validating token for service: {service_name}")
  39. return True # Assume valid in dry-run mode
  40. else:
  41. # Replace with actual token validation logic
  42. try:
  43. # Simulate token validation (replace with your actual verification)
  44. # For example:
  45. # import requests
  46. # response = requests.get(f"https://api.example.com/validate?token={token}")
  47. # response.raise_for_status()
  48. # return True
  49. # return False
  50. self.logger.warning(f"Token validation not implemented. Returning True.")
  51. return True #Default to True in normal mode to avoid errors
  52. except Exception as e:
  53. self.logger.error(f"Token validation error: {e}")
  54. raise # Re-raise the exception in non-dry-run mode
  56. def process_batch(self, batch_data):
  57. """Processes a batch of data, suppressing authentication errors in dry-run mode."""
  58. for item in batch_data:
  59. service_name = item.get("service")
  60. if not service_name:
  61. self.logger.warning(f"Skipping item due to missing 'service' field: {item}")
  62. continue
  64. try:
  65. token = self.get_token(service_name)
  66. if token:
  67. self.validate_token(service_name, token) #Dry-run validation
  68. # Add your processing logic here using the token
  69. self.logger.info(f"Processing item for service: {service_name} with token: {token}")
  70. # Simulate processing
  71. time.sleep(0.1) # add a delay to simulate processing
  72. else:
  73. self.logger.warning(f"Skipping item for service: {service_name} due to missing token.")
  74. except ValueError as e:
  75. if not self.dry_run:
  76. self.logger.error(f"Authentication error processing item: {item}. Error: {e}")
  77. raise
  78. else:
  79. self.logger.info(f"Dry-run: Authentication error processing item: {item}. Skipping.")
  80. except Exception as e:
  81. if not self.dry_run:
  82. self.logger.error(f"Unexpected error processing item: {item}. Error: {e}")
  83. raise
  84. else:
  85. self.logger.info(f"Dry-run: Unexpected error processing item: {item}. Skipping.")
  87. def add_token(self, service_name, token):
  88. """Adds a new token to the token store."""
  89. self.tokens[service_name] = token
  90. self._save_tokens()
  92. def _save_tokens(self):

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