title | shortTitle | intro | redirect_from | versions | category | complexity | octicon | topics | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Handling API rate limits | Handle API rate limits | {% data variables.product.prodname_copilot_chat_short %} can help handle API rate limits by suggesting code that detects implements retry logic. |
|
|
|
| bug |
|
When making requests to APIs, it's common to encounter rate limits that restrict the number of calls you can make within a certain time frame. {% data variables.product.prodname_copilot_chat %} can help you handle these limits by suggesting code to detect rate limit responses and automatically retry requests after a delay.
The following Python code fetches weather data from an external API. If the API has rate limits, requests may fail when limits are exceeded, and your app may need a way to handle these responses gracefully by implementing retry logic.
fromflaskimportFlask, requestimportrequestsapp=Flask(__name__) WEATHER_API_URL="https://api.example.com/weather"@app.route('/get_weather', methods=['GET'])defget_weather(): city=request.args.get('city') # Simulate an API request to the external weather serviceresponse=requests.get(WEATHER_API_URL, params={"city": city}) weather_data=response.json() returnweather_data
How can I handle API rate limits within get_weather().
{% data reusables.copilot.example-prompts.response-is-an-example %}
{% data variables.product.prodname_copilot_short %} might suggest code that implements a retry mechanism with exponential backoff to limit the frequency of retry attempts.
For example:
importrequestsfromflaskimportFlask, requestfromrequests.adaptersimportHTTPAdapterfromrequests.packages.urllib3.util.retryimportRetryapp=Flask(__name__) WEATHER_API_URL="https://api.example.com/weather"defrequests_retry_session( retries=3, backoff_factor=0.3, status_forcelist=(500, 502, 504), session=None, ): session=sessionorrequests.Session() retry=Retry( total=retries, read=retries, connect=retries, backoff_factor=backoff_factor, status_forcelist=status_forcelist, ) adapter=HTTPAdapter(max_retries=retry) session.mount("http://", adapter) session.mount("https://", adapter) returnsession@app.route('/get_weather', methods=['GET'])defget_weather(): city=request.args.get('city') try: response=requests_retry_session().get(WEATHER_API_URL, params={"city": city}) response.raise_for_status() weather_data=response.json() exceptrequests.exceptions.RequestExceptionase: return {"error": str(e)}, 500returnweather_data
In this example, {% data variables.product.prodname_copilot_short %}'s suggestions include setting up a retry session that allows the code to automatically retry requests if they fail due to specific status codes (500, 502, 504). The backoff_factor
gradually increases the delay between retries, helping avoid exceeding the API's rate limit further.
{% data reusables.copilot.example-prompts.further-reading-items %}