101 lines
3.3 KiB
Markdown
101 lines
3.3 KiB
Markdown
---
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title: Handling API rate limits
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shortTitle: Handle API rate limits
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intro: '{% data variables.product.prodname_copilot_chat_short %} can help handle API rate limits by suggesting code that detects implements retry logic.'
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redirect_from:
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- /copilot/example-prompts-for-github-copilot-chat/debugging-errors/handling-api-rate-limits
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versions:
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feature: copilot
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category:
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- 'Debugging code'
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complexity:
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- Intermediate
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octicon: bug
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topics:
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- Copilot
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---
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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.
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## Example scenario
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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.
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```python
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from flask import Flask, request
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import requests
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app = Flask(__name__)
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WEATHER_API_URL = "https://api.example.com/weather"
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@app.route('/get_weather', methods=['GET'])
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def get_weather():
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city = request.args.get('city')
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# Simulate an API request to the external weather service
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response = requests.get(WEATHER_API_URL, params={"city": city})
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weather_data = response.json()
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return weather_data
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```
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## Example prompt
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`How can I handle API rate limits within get_weather().`
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## Example response
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{% data reusables.copilot.example-prompts.response-is-an-example %}
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{% data variables.product.prodname_copilot_short %} might suggest code that implements a retry mechanism with exponential backoff to limit the frequency of retry attempts.
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For example:
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```python
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import requests
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from flask import Flask, request
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from requests.adapters import HTTPAdapter
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from requests.packages.urllib3.util.retry import Retry
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app = Flask(__name__)
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WEATHER_API_URL = "https://api.example.com/weather"
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def requests_retry_session(
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retries=3,
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backoff_factor=0.3,
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status_forcelist=(500, 502, 504),
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session=None,
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):
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session = session or requests.Session()
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retry = Retry(
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total=retries,
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read=retries,
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connect=retries,
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backoff_factor=backoff_factor,
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status_forcelist=status_forcelist,
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)
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adapter = HTTPAdapter(max_retries=retry)
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session.mount("http://", adapter)
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session.mount("https://", adapter)
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return session
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@app.route('/get_weather', methods=['GET'])
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def get_weather():
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city = request.args.get('city')
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try:
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response = requests_retry_session().get(WEATHER_API_URL, params={"city": city})
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response.raise_for_status()
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weather_data = response.json()
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except requests.exceptions.RequestException as e:
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return {"error": str(e)}, 500
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return weather_data
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```
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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.
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## Further reading
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{% data reusables.copilot.example-prompts.further-reading-items %}
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