这是依赖于一个数据源的天气服务,按照约定规范提供给客户端天气数据,且在服务端进行数据的预取与缓存,加速客户端获取天气的响应。
完全采用Python代码实现,线上运行数据是:每秒处理100个查询请求,CPU毫无压力;
网络库netcore是采用自己实现的Epoll事件模型+消息队列+多进程Worker的设计;
数据缓存直接采用Dict数据结构,Pickle序列化的本地;
Worker进程实现周期性预取,处理耗时的压缩、加密的操作。
This project forked from changshoumeng/pytianqiservice
依赖于一个数据源的天气服务,按照约定规范提供给客户端天气数据,且在服务端进行数据的预取与缓存,加速客户端获取天气的速率;
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