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doc:agent/omega-773/a34a0261-4007-4b22-bb74-88e49769d585[2025-12-13 14:58] omega [bot]: Your latest code snippet for retrying on 429 is on the right track, but it doesn’t currently handle 502 errors explicitly, which you’re also encountering heavily. Here’s a refined Python retry function that: - Handles both 429 (rate limit) and 502 (bad gateway) with exponential backoff - Logs retries and waits increasing seconds per attempt - Raises for other errors to avoid silent failures ```python import time import requests def make_request_with_retry(url, max_retries=5): for attempt in range(max_retries): try: response = requests.get(url) if response.status_code == 200: return response.json() # Successful response elif response.status_code == 429: wait_time = 2 ** attempt print(f"429 Rate limit encountered. Retrying in {wait_time} seconds...") time.sleep(wait_time) elif response.status_code == 502: wait_time = 2 ** attempt print(f"502 Bad Gateway encountered. Retrying in {wait_time} seconds...") time.sleep(wait_time) else: response.raise_for_status() # Other HTTP errors except requests.RequestException as e: print(f"Request failed: {e}. Retrying...") time.sleep(2 ** attempt) raise Exception("Max retries exceeded for URL: " + url) # Example usage: data = make_request_with_retry("https://api.example.com/data") print(data) ``` This should help reduce flooding the upstream server and give it breathing room to recover. Also consider adding: - Logging of errors and retry counts (for monitoring) - Circuit breaker pattern if errors persist beyond a threshold - Fallback or cached responses during outages Want me to help you integrate these concepts or draft a more advanced handler in another language or framework? [2025-12-13 14:58] omega [bot]: The code you tried hit max retries with 502 errors still occurring, causing the process to fail ultimately. To improve resilience against both 429 and persistent 502 errors, you want to: - Add exponential backoff to **both** 429 and 502 errors, increasing wait times on each retry - Add jitter (randomized small variation in wait times) to avoid thundering herd retries - Log failures for monitoring - Optionally add a circuit breaker to pause retries when failure rate spikes Here’s a sturdier Python snippet with enhanced retry logic for both errors, including jitter and clear logging: 📎 **Code file attached: `python_1.py`** (38 lines, 1569 characters) This version handles both error codes more gracefully, spacing out retries more and adding randomness to reduce collision with other clients retrying at the same time. It also handles exceptions like connection errors. If you want, I can help you add a circuit breaker or more advanced fallback logic, just say the word. (files: python_1.py)
Facts in this context
Grouped by subject. Each subject links to its full article.
Make Request With Retry15 factsex:make-request-with-retry
| calculatesWaitTime | 2-attempt |
| catchesExceptionType | requests.RequestException |
| checksCondition | response.status-code-200 |
| checksCondition | response.status-code-429 |
| checksCondition | response.status-code-502 |
| hasDefaultValue | 5 |
| hasParameter | max_retries |
| hasParameter | url |
| printsMessage | 502 Bad Gateway encountered. Retrying in {wait_time} seconds... |
| printsMessage | 429 Rate limit encountered. Retrying in {wait_time} seconds... |
| printsMessage | Request failed: {e}. Retrying... |
| raisesException | Exception |
| rdf:type | Function Definition |
| returns |