2 examples
Duplicate request
Same request unintentionally sent multiple times.
[ FAQ1 ]
What is a duplicate request?
A duplicate request is when the exact same operation or data submission is sent multiple times, typically over HTTP APIs. Common scenarios include network timeouts prompting retries or accidental repeated submissions from user interfaces. Duplicate requests are particularly problematic with non-idempotent operations (such as
HTTP POST
requests) because each repetition might create additional unwanted resources or side effects. Without proper handling, these requests can lead to data corruption, resource conflicts, or race conditions that disrupt application reliability and integrity.[ FAQ2 ]
How to handle duplicate request
To handle duplicate requests, design your API or system operations to be idempotent, meaning the same request repeated multiple times produces the same result without additional side effects. For example, use idempotency keys to uniquely identify each request and detect duplicates effectively. Implement appropriate HTTP methods (
PUT
or GET
) where suitable, as they inherently support idempotency. Additionally, set clear retry policies on the client side to limit unnecessary repeated requests. Proactively addressing idempotency and duplicate handling ensures robust and reliable interactions within networked applications.diff block
greptile
I'll help you fix the duplicate logging and request code block in the `fetch_top_coins` function. The issue is that lines 170-177 duplicate the previous request code. Here's the fix:
This suggestion:
1. Removes the duplicate logging statement
2. Removes the duplicate request code block
3. Keeps the original request logic intact
4. Maintains proper indentation
5. Continues with the file saving operation
The fix removes the redundant code while preserving the core functionality of fetching and saving the top coins data.
suggested fix
logger.info(f"Fetching top {limit} coins from {url}") try: response = requests.get(url, headers=get_headers(), params=params, timeout=REQUEST_TIMEOUT) response.raise_for_status() respect_rate_limits(response) top_coins = response.json() # Save to file output_file = os.path.join(DATA_DIR, f"top_{limit}_coins.json") with open(output_file, "w") as f:
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