Hey Ethan, let’s work through those API errors you’re running into with your Python polling program. I’ve debugged similar repeated API call issues before, so here are the most common culprits and fixes to check:

1. You’re Probably Hitting Rate Limits #

Most game APIs strictly enforce rate limits to prevent abuse, and a 30-second interval might be too frequent for their rules.

• First, dig into the API’s docs (even if you’ve skimmed them!) to find their rate limit details. Look for response headers like X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset—these will tell you how many calls you’re allowed and when your quota resets.
• Replace your fixed 30-second wait with a retry mechanism that uses exponential backoff. This slows down your calls automatically when you hit errors, which helps you stay within limits. Example snippet:

  import time
  import requests
  
  base_delay = 30
  current_delay = base_delay
  api_url = "your-game-api-url-here"
  
  while True:
      try:
          response = requests.get(api_url)
          response.raise_for_status()  # Triggers an error for 4xx/5xx status codes
          data = response.json()
          # Your data comparison logic here
          current_delay = base_delay  # Reset delay on success
      except requests.exceptions.RequestException as e:
          print(f"API call failed: {str(e)}")
          current_delay *= 2  # Double the delay after each failure
          if current_delay > 300:  # Cap at 5 minutes to avoid infinite waits
              current_delay = 300
      time.sleep(current_delay)
  

2. Authentication Tokens Might Be Expiring #

If you’re using an API key or OAuth token, repeated calls can sometimes cause tokens to expire mid-program.

• Check if your auth method has an expiration time. Add code to refresh the token automatically when it’s close to expiring (most APIs return an expiration timestamp in the initial auth response).
• Double-check that you’re including your credentials in every request—not just the first one. Some APIs require keys in headers, query params, or persistent cookies. Using requests.Session() can help persist auth across calls:

  session = requests.Session()
  session.headers.update({"Authorization": "Bearer your-token-here"})
  # Use session.get(api_url) for all subsequent calls
  

3. Server-Side or Connection Flakiness #

Intermittent errors often come from temporary server issues or unstable connections.

• Add explicit checks for common HTTP status codes:
  • 403: Forbidden (verify your permissions or that your API key is valid)
  • 429: Too Many Requests (confirm rate limit rules and adjust your delay)
  • 500/502/503: Server errors (retry after a longer wait—this is where exponential backoff shines)
• Print or log the raw response content when errors happen. Sometimes APIs return a JSON error message explaining exactly what went wrong (e.g., "invalid session" or "maintenance mode").

4. Data Parsing Issues (Not Just API Errors) #

If errors pop up when comparing baseRank and basePP, it might be how you’re storing or parsing the data, not the API call itself.

• Use .get() instead of direct key access to avoid KeyErrors if the API response structure changes:

  base_rank = data.get('rank')  # Returns None if 'rank' doesn't exist
  base_pp = data.get('pp')
  

• Log the initial and new data sets when a comparison fails—this will help you spot if the API is returning unexpected values (like strings instead of integers) that break your logic.

5. Unhandled Exceptions Are Crashing Your Program #

Make sure your code catches all relevant errors so it doesn’t stop abruptly mid-poll. Wrap your API call and data processing in a broad try-except block that covers network errors, parsing errors, and unexpected data types.

One final tip: Swap print statements for proper logging (using Python’s logging module). This lets you track error timestamps and response details over time, which makes debugging way easier.

内容的提问来源于stack exchange，提问作者Ethan97