retry-pattern

while True: response = requests.get(url, headers=headers) if response.status_code == 200: return response.json() elif response.status_code == 429: # Rate limit exceeded reset_time = int(r…

### Example Behavior Here's an example of how an API might behave when you exceed the rate limit: ```python import time from datetime import datetime class APILimiter: def __init__(self, max_requests, time_window): self.max_r…

logging.error(f"Content validation failed for file {file_path}") continue logging.info(f"File {file_path} uploaded successfully.") return file_path retries…

print(f"Processed {file_path} successfully") except Exception as e: print(f"Failed to process {file_path}: {e}") if __name__ == "__main__": main() ``` ### Explanation 1. **Concurrency Manag…

- Test the pipeline to ensure it handles errors and retries correctly. - Verify that the system can handle 3,500 documents per hour with under 200ms processing time. 3. **Monitor Performance**: - Monitor the system to ensure it ac…

logger.warning(f"Unexpected error on attempt {attempt}: {e}") if attempt == retries: logger.error("Max retries reached. Message consumption failed.") break # Example usage consume_messag…

'token': 'your_api_token' }) # Retry decorator def retry_on_failure(max_retries=3, delay=1): def decorator(func): def wrapper(*args, **kwargs): retries = 0 while retries < max_retries: …

raise Exception('Evaluation failed') # Example usage: def example_evaluation(): if random.random() < 0.05: raise Exception('MetricCalcError') return 'Evaluation successful' result = retry_evaluation(example_evaluation)…

3. **Logging**: Include logging to track the reformulation process and identify potential issues. 4. **Metrics**: Consider additional metrics beyond accuracy to evaluate the effectiveness of the reformulation. ### Example Code with Improve…