How to implement data caching and page caching through the Webman framework?

How to implement data caching and page caching through the Webman framework?

Webman is a Python-based Web framework that is lightweight, flexible, easy to use, and supports a variety of plug-ins and extensions. In web development, implementing data caching and page caching is one of the important means to improve website performance and user experience. In this article, we will explore how to implement data caching and page caching through the Webman framework and give corresponding code examples.

1. Data caching

Data caching is to temporarily store some frequently accessed data in memory to reduce the number of accesses to the database or other external storage and improve the reading speed of data. The Webman framework provides a simple caching interface, which we can easily use to implement the data caching function.

Code example:

from webman import cache

# 定义一个缓存对象
data_cache = cache.Cache()

# 获取数据的函数
def get_data():
    # 先从缓存中获取数据
    data = data_cache.get('data')
    
    if data is not None:
        return data
    
    # 如果缓存中没有数据，则从数据库中获取
    data = query_data_from_db()
    
    # 将数据存入缓存，并设置过期时间为10分钟
    data_cache.set('data', data, timeout=600)
    
    return data

In the above code, we first create a cache object data_cache, and then define a get_data function to obtain data. In the function, we first try to get the data from the cache. If there is data in the cache, it returns directly; if there is no data in the cache, we get it from the database, store the obtained data in the cache, and set the expiration date. The time is 10 minutes.

2. Page caching

Page caching generates static HTML files for some frequently visited pages and stores them on the hard disk to reduce the cost of dynamically generating pages during subsequent visits. The Webman framework provides convenient page caching functionality, which we can easily apply to our web applications.

Code example:

from webman import cache

# 定义一个缓存对象
page_cache = cache.Cache()

# 缓存页面的装饰器
def cache_page(timeout=60):
    def decorator(func):
        def wrapper(*args, **kwargs):
            # 构建缓存键值
            cache_key = 'page:' + request.path + '?' + request.query_string
            
            # 先从缓存中获取页面
            page = page_cache.get(cache_key)
            
            if page is not None:
                return page
            
            # 如果缓存中没有页面，则生成动态页面
            html = func(*args, **kwargs)
            
            # 将页面存入缓存，并设置过期时间
            page_cache.set(cache_key, html, timeout=timeout)
            
            return html
        return wrapper
    return decorator

# 使用页面缓存的函数
@cache_page(timeout=300)
def home_page():
    return render_template('home.html')

In the above code, we first create a cache object page_cache and define a decorator cache_page for caching the page. Inside the decorator, we first build a cache key based on the requested path and query string, and then try to get the page from the cache. If there is a page in the cache, it returns directly; if there is no page in the cache, the original The function generates a dynamic page, stores the generated page in the cache, and sets the expiration time. Finally, we use the decorator to decorate the home_page function to implement the page cache function.

Summary:

Through the caching interface and page caching function provided by the Webman framework, we can easily implement data caching and page caching to improve the performance and user experience of Web applications. In actual applications, we can choose appropriate caching strategies based on specific needs and scenarios, and combine them with other optimization measures to further improve the performance of our web applications.

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