캐싱 기술을 통해 Python 웹 사이트의 정적 리소스 액세스 속도를 향상시키는 방법은 무엇입니까?

import redis

# 连接Redis缓存
cache = redis.Redis(host='localhost', port=6379)

# 保存数据到缓存
cache.set('key', 'value', ex=3600)

# 从缓存中获取数据
data = cache.get('key')
print(data)

import redis
import hashlib

# 连接Redis缓存
cache = redis.Redis(host='localhost', port=6379)

# 生成静态资源的缓存键
def generate_cache_key(url):
    return 'static:' + hashlib.md5(url.encode('utf-8')).hexdigest()

# 从缓存中获取静态资源
def get_static_resource(url):
    cache_key = generate_cache_key(url)
    data = cache.get(cache_key)
    if data:
        return data
    else:
        # 从文件系统或远程服务器获取静态资源
        data = fetch_static_resource(url)
        cache.set(cache_key, data, ex=3600)
        return data

# 从文件系统或远程服务器获取静态资源
def fetch_static_resource(url):
    # ...
    pass

# 使用缓存获取静态资源
data = get_static_resource('http://example.com/static/image.jpg')
print(data)

import redis
from flask import Flask
from functools import wraps

app = Flask(__name__)
cache = redis.Redis(host='localhost', port=6379)

# 缓存视图函数的装饰器
def cached(timeout=3600):
    def decorator(f):
        @wraps(f)
        def wrapper(*args, **kwargs):
            cache_key = generate_cache_key(request.url)
            data = cache.get(cache_key)
            if data:
                return data
            else:
                data = f(*args, **kwargs)
                cache.set(cache_key, data, ex=timeout)
                return data
        return wrapper
    return decorator

# 示例视图函数
@app.route('/hello')
@cached()
def hello():
    return 'Hello, World!'

# 运行Flask应用
if __name__ == '__main__':
    app.run()