Building a self-updating profile README for GitHub

栏目: IT技术 · 发布时间: 6年前

内容简介:GitHub quietly released a new feature at some point in the past few days: profile READMEs. Create a repository with the same name as your GitHub account (in my case that’sI couldn’t resist re-using the trickfrom this blog post and implementing a GitHub Act

GitHub quietly released a new feature at some point in the past few days: profile READMEs. Create a repository with the same name as your GitHub account (in my case that’s github.com/simonw/simonw ), add a README.md to it and GitHub will render the contents at the top of your personal profile page—for me that’s github.com/simonw

I couldn’t resist re-using the trickfrom this blog post and implementing a GitHub Action to automatically keep my profile README up-to-date.

Visit github.com/simonw and you’ll see a three-column README showing my latest GitHub project releases, my latest blog entries and my latestTILs.

Building a self-updating profile README for GitHub

I’m doing this with a GitHub Action in build.yml . It’s configured to run on every push to the repo, on a schedule at 32 minutes past the hour and on the new workflow_dispatch event which means I get a manual button I can click to trigger it on demand.

The Action runs a Python script called build_readme.py which does the following:

  • Hits the GitHub GraphQL API to retrieve the latest release for every one of my 300+ repositories
  • Hits my blog’s full entries Atom feed to retrieve the most recent posts (using the feedparser Python library)
  • Hits my TILs website’s Datasette API runningthis SQL query to return the latest TIL links

It then turns the results from those various sources into a markdown list of links and replaces commented blocks in the README that look like this:

<!-- recent_releases starts -->
...
<!-- recent_releases ends -->

The whole script is less than 150 lines of Python .

GitHub GraphQL

I have a bunch of experience working with GitHub’s regular REST APIs, but for this project I decided to go with their newer GraphQL API .

I wanted to show the most recent “releases” for all of my projects. I have over 300 GitHub repositories now, and only a portion of them use the releases feature.

Using REST, I would have to make over 300 API calls to figure out which ones have releases.

With GraphQL, I can do this instead:

query {
  viewer {
    repositories(first: 100, privacy: PUBLIC) {
      pageInfo {
        hasNextPage
        endCursor
      }
      nodes {
        name
        releases(last:1) {
          totalCount
          nodes {
            name
            publishedAt
            url
          }
        }
      }
    }
  }
}

This query returns the most recent release ( last:1 ) for each of the first 100 of my public repositories.

You can paste it into the GitHub GraphQL explorer to run it against your own profile.

There’s just one catch: pagination. I have more than 100 repos but their GraphQL can only return 100 nodes at a time.

To paginate, you need to request the endCursor and then pass that as the after: parameter for the next request. I wrote up how to do this in this TIL .

Next steps

I’m pretty happy with this as a first attempt at automating my profile. There’s something extremely satsifying about having a GitHub profile that self-updates itself using GitHub Actions—it feels appropriate.

There’s so much more stuff I could add to this: my tweets, my sidebar blog links, maybe even download statistics from PyPI. I’ll see what takes my fancy in the future.

I’m not sure if there’s a size limit on the README that is displayed on the profile page, so deciding how much information is appropriate is appears to be mainly a case of personal taste.

Building these automated profile pages is pretty easy, so I’m looking forward to seeing what kind of things other nerds come up with!


以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网

查看所有标签

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。

多任务下的数据结构与算法

多任务下的数据结构与算法

周伟明 / 华中科技 / 2006-4 / 58.00元

本书和传统同类书籍的区别是除了介绍基本的数据结构容器如栈、队列、链表、树、二叉树、红黑树、AVL树和图之外,引进了多任务;还介绍了将任意数据结构容器变成支持多任务的方法;另外,还增加了复合数据结构和动态数据结构等新内容的介绍。在复合数据结构中不仅介绍了哈希链表、哈希红黑树、哈希AVL树等容器,还介绍了复合数据结构的通用设计方法;在动态数据结构中主要介绍了动态环形队列、动态等尺寸内存管理算法。在内存......一起来看看 《多任务下的数据结构与算法》 这本书的介绍吧!

JSON 在线解析
JSON 在线解析

在线 JSON 格式化工具

UNIX 时间戳转换
UNIX 时间戳转换

UNIX 时间戳转换

HEX HSV 转换工具
HEX HSV 转换工具

HEX HSV 互换工具