Ten minutes to build a daily paper bot

本文介绍了一种利用Wechaty框架仅用10分钟搭建完成的机器学习及金融科技领域的日常资讯推送机器人。作者通过使用Docker简化了依赖管理过程,并提前准备好了API接口用于获取数据。此外,还为机器人增加了自动回复等功能,增强了用户体验。

I built a bot to deliver the daily paper about machine learning and fintech to the users.Considering the development of lowest cost, I chose wechaty. It’s so awesome that it only took me 10 mintues to make the bot work.

chatbot

Before the bot work, I had really done a lot of work to crawl data and filter data, I won’t talk about the data here, just about the Wechaty!

Screenshot

screenshot

My development steps with wechaty

  1. Watch the tutorial video.It took me 4 mintues.
  2. Copy the code in the video.It took me 30 seconds to create a file and paste the code in.
  3. Use the docker.I used the docker to run the bot, which protected me from the troubles of dependency problems.It’s so easy that just took me 10 seconds to know how to start.
  4. Run the docker.Actually, one line code is enough to run the docker.But downloading the image of wechaty wasted some time, which cost 4 minutes.
  5. Code the bot.I had prepared the API of the daily paper, so what I need to do is just wrote some codes to get the data from the API, which cost 1 mintues.(Using axios and async function also saved a lot of time).
  6. Test and Debug.It worked correctly, which cost 20 seconds.

More

I also added some functions such as automatic reply to the bot, which made our users more active in the group.

Some advices

  1. Just use the docker, which is so easy and can save a lot of time.
  2. Read the documents to know how powerful wechaty is.

Finally, I like wechaty, thanks to all the contributors of wechaty!

内容概要:本文详细介绍了“秒杀商城”微服务架构的设计与实战全过程,涵盖系统从需求分析、服务拆分、技术选型到核心功能开发、分布式事务处理、容器化部署及监控链路追踪的完整流程。重点解决了高并发场景下的超卖问题,采用Redis预减库存、消息队列削峰、数据库乐观锁等手段保障数据一致性,并通过Nacos实现服务注册发现与配置管理,利用Seata处理跨服务分布式事务,结合RabbitMQ实现异步下单,提升系统吞吐能力。同时,项目支持Docker Compose快速部署和Kubernetes生产级编排,集成Sleuth+Zipkin链路追踪与Prometheus+Grafana监控体系,构建可观测性强的微服务系统。; 适合人群:具备Java基础和Spring Boot开发经验,熟悉微服务基本概念的中高级研发人员,尤其是希望深入理解高并发系统设计、分布式事务、服务治理等核心技术的开发者;适合工作2-5年、有志于转型微服务或提升架构能力的工程师; 使用场景及目标:①学习如何基于Spring Cloud Alibaba构建完整的微服务项目;②掌握秒杀场景下高并发、超卖控制、异步化、削峰填谷等关键技术方案;③实践分布式事务(Seata)、服务熔断降级、链路追踪、统一配置中心等企业级中间件的应用;④完成从本地开发到容器化部署的全流程落地; 阅读建议:建议按照文档提供的七个阶段循序渐进地动手实践,重点关注秒杀流程设计、服务间通信机制、分布式事务实现和系统性能优化部分,结合代码调试与监控工具深入理解各组件协作原理,真正掌握高并发微服务系统的构建能力。
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