AzDO PR dashboard improvements

Adds sorting and categorization to the PR dashboard.

目前为 2019-04-05 提交的版本。查看 最新版本

作者
alejandro5042
评分
0 0 0
版本
2.5.2
创建于
2019-04-05
更新于
2019-04-05
大小
8.1 KB
许可证
MIT
适用于

Browser Userscripts For Azure DevOps

A collection of userscripts to improve the Azure DevOps UI. (Homepage on GitHub)

These userscripts were tested in Chrome and Firefox with the Tampermonkey extension. They may work with other setups.

1) PR dashboard improvements

Install PR dashboard improvements (see prerequisites below)

Sorts the PRs in your dashboard into categories.

(Picture of an example dashboard)

  • Reviews are sorted from oldest to newest (reverse of the default)
  • Reviews are highlighted red if you are the last reviewer and everyone else approved
  • Reviews are further categorized into sections:
    • Uncategorized: Reviews you need to process
    • Incomplete but blocked: Reviews you have not completed but are blocked anyways because another reviewer voted Waiting on Author or Rejected. This section is open by default
    • Drafts
    • Completed as Waiting on Author
    • Completed as Rejected
    • Completed as Approved / Approved with Suggestions
  • Sections remember if they are open/closed

Prerequisites

A userscripts extension is required to actually use these scripts; e.g. Tampermonkey, Greasemonkey, etc.

Install the Tampermonkey extension

  • If you just installed this extension, refresh this page or the download links may not work
  • When installing extensions, remember to refresh the affected pages after installing (e.g. the PR dashboard)
  • By default, Tampermonkey will automatically update scripts from the original install location once a day. You can force an update from the extensions menu

Privacy

The update URL goes through a URL redirector to get a rough idea of how many people are using this script. To opt-out, change the update URL to the original download URL in the Tampermonkey dashboard (or disable updates). The redirector can also help if the URL needs to change; e.g. if the file is moved or renamed.

No other data is collected. The script is sourced and updated directly from the master branch of this repo.

Credits

This is the second version of a PR filtering script originally written by Tian Yu, which faded out approved PRs. Further improved by Alejandro Barreto.

License

MIT. Pull Requests welcomed!

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