Handling API rate limits

Copilot Chat can help handle API rate limits by suggesting code that detects implements retry logic.

En este artículo

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. GitHub Copilot Chat can help you handle these limits by suggesting code to detect rate limit responses and automatically retry requests after a delay.

Example scenario

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.

from flask import Flask, request
import requests

app = Flask(__name__)

WEATHER_API_URL = "https://api.example.com/weather"

@app.route('/get_weather', methods=['GET'])
def get_weather():
    city = request.args.get('city')
    # Simulate an API request to the external weather service
    response = requests.get(WEATHER_API_URL, params={"city": city})
    weather_data = response.json()

    return weather_data

Example prompt

How can I handle API rate limits within get_weather().

Example response

Note

La respuesta siguiente es un ejemplo. Las respuestas de Copilot Chat no son deterministas, por lo que puedes obtener una respuesta diferente a la aquí mostrada.

Copilot might suggest code that implements a retry mechanism with exponential backoff to limit the frequency of retry attempts.

For example:

import requests
from flask import Flask, request
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry

app = Flask(__name__)

WEATHER_API_URL = "https://api.example.com/weather"

def requests_retry_session(
    retries=3,
    backoff_factor=0.3,
    status_forcelist=(500, 502, 504),
    session=None,
):
    session = session or requests.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)
    return session

@app.route('/get_weather', methods=['GET'])
def get_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()
    except requests.exceptions.RequestException as e:
        return {"error": str(e)}, 500

    return weather_data

In this example, Copilot'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.

Further reading