Disallow failing in most API requests #590
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Review Summary by Korbit AI
Code Execution Comments
- Implement a maximum retry limit or backoff strategy and add logging to prevent infinite loops and aid debugging.
Files scanned
| File Path | Reviewed |
|---|---|
| lumibot/data_sources/interactive_brokers_rest_data.py | ✅ |
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| error_message = f"error: Task '{description}' Failed. Status code: {response.status_code}, Response: {response.text}" | ||
| to_return=None | ||
| first_run=True | ||
| while (not allow_fail) or first_run: |
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Implement a maximum retry limit for API requests.
The implementation of infinite retries for API requests could potentially lead to unintended behavior. Consider adding a maximum retry limit or implementing a backoff strategy to prevent infinite loops. Also, add logging to track the number of retry attempts for each request. This will help in monitoring and debugging the system's behavior.
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Introduces infinite retries for some network requests.
Description by Korbit AI
What change is being made?
Modify API request methods to disallow failures by default, adding retry logic for failed requests in
interactive_brokers_rest_data.py.Why are these changes being made?
These changes ensure that API requests are more robust by retrying upon failure, which reduces the likelihood of transient errors affecting the application's functionality. This approach improves reliability and user experience by handling temporary issues like rate limiting or network errors more gracefully.