Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Increase default rate limit retries from 1 to 3 in backend API methods #570

Merged
merged 1 commit into from
Jan 8, 2025

Conversation

kooomix
Copy link
Contributor

@kooomix kooomix commented Jan 8, 2025

PR Type

Bug fix, Enhancement


Description

  • Increased default rate limit retries from 1 to 3.

  • Updated post_with_ratelimit and get_with_rate_limit methods.

  • Improved handling of rate-limited API requests.


Changes walkthrough 📝

Relevant files
Enhancement
backend_api.py
Adjusted default rate limit retries in API methods             

infrastructure/backend_api.py

  • Changed default rate_limit_retries from 1 to 3.
  • Updated both post_with_ratelimit and get_with_rate_limit methods.
  • +2/-2     

    💡 PR-Agent usage: Comment /help "your question" on any pull request to receive relevant information

    @kooomix kooomix merged commit d9b6209 into master Jan 8, 2025
    2 checks passed
    Copy link

    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    ⏱️ Estimated effort to review: 1 🔵⚪⚪⚪⚪
    🧪 No relevant tests
    🔒 No security concerns identified
    ⚡ No major issues detected

    Copy link

    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Score
    Possible issue
    Implement proper rate limit handling with exponential backoff strategy for better request retry management

    Add error handling for rate limit response codes (429) and implement exponential
    backoff instead of fixed sleep time to better handle rate limiting.

    infrastructure/backend_api.py [1978-1982]

     rate_limit_retries = args.pop("rate_limit_retries", 3)
    -rate_limit_sleep = args.pop("rate_limit_sleep", 60)
    +base_sleep = args.pop("rate_limit_sleep", 60)
     
     for attempt in range(1, rate_limit_retries + 1):
         r = self.post(url, **args)
    +    if r.status_code == 429:  # Too Many Requests
    +        if attempt < rate_limit_retries:
    +            sleep_time = base_sleep * (2 ** (attempt - 1))  # Exponential backoff
    +            time.sleep(sleep_time)
    +        continue
    • Apply this suggestion
    Suggestion importance[1-10]: 9

    Why: This is a critical improvement that adds proper handling of rate limit responses (429) and implements exponential backoff, which is a best practice for handling rate limits. This would significantly improve the reliability of API requests under heavy load.

    9
    Return response object to allow proper error handling at the caller level

    Return the response object after exhausting all retries to handle failures at the
    caller level, instead of silently continuing execution.

    infrastructure/backend_api.py [1981-1982]

     for attempt in range(1, rate_limit_retries + 1):
         r = self.post(url, **args)
    +    if r.status_code == 429 and attempt < rate_limit_retries:
    +        continue
    +    return r  # Return response after last attempt or successful request
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: This suggestion addresses an important issue by ensuring the response object is properly returned, enabling caller-level error handling. This is crucial for proper error propagation and handling of failed requests.

    8

    Copy link

    github-actions bot commented Jan 8, 2025

    Failed to generate code suggestions for PR

    Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
    Projects
    None yet
    Development

    Successfully merging this pull request may close these issues.

    1 participant