优化对具有不同负载的相同端点的API调用

from functools import lru_cache

@lru_cache(maxsize=128)
def get_data_from_api(api_url):
    response = requests.get(api_url)
    return response.json()

# 示例Nginx配置
upstream backend {
    server server1.example.com;
    server server2.example.com;
    server server3.example.com;
}

server {
    listen 80;
    location /api {
        proxy_pass http://backend;
    }
}

import asyncio

async def fetch_data(api_url):
    async with aiohttp.ClientSession() as session:
        async with session.get(api_url) as response:
            return await response.json()

async def main():
    data = await fetch_data('http://example.com/api')
    print(data)

asyncio.run(main())

from flask import Flask
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address

app = Flask(__name__)
limiter = Limiter(
    get_remote_address,
    app=app,
    default_limits=["200 per day", "50 per hour"]
)

@app.route("/api")
@limiter.limit("10 per minute")
def api():
    return "Hello, World!"