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The [livechat-perf-test](https://github.com/JohnXLivingston/livechat-perf-test) repository contains some tools to make performance tests. It can be used to evaluate code improvements, or find bottlenecks.
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Start your debugger server.
 
For Prosody to connect to the debugger, call the API `http://your_instance.tld/plugins/livechat/router/api/restart_prosody?debugger=true`. This call does not need any authentication. It can be done from a command line, for example with `curl http://your_instance.tld/plugins/livechat/router/api/restart_prosody?debugger=true`. You can even configure your debug server to launch this request automatically.
 
Prosody will then restart, connecting to the debugger.
 
Quick dev environment using Docker
 
There is a tutorial, in french, on the [Peertube forum](https://framacolibri.org/t/tutoriel-creer-un-environnement-de-developpement-de-plugin-peertube-rapidement-en-utilisant-docker-et-qui-permet-de-tester-la-federation/17631) that explains how to quickly build a dev env using Docker.
 
A repo was made out of it, check out [pt-plugin-dev](https://codeberg.org/mose/pt-plugin-dev).
 
Note: for an unknown reason, Prosody can't resolve containers DNS address when using the lua-unbound library. There is a dirty hack in the plugin: just create a `/data/plugins/data/peertube-plugin-livechat/no_lua_unbound` file in your docker-volumes, then restart containers.
 
Quickly rebuild and install the plugin
 
When you do modification, you don't have to always rebuild the full project, and reinstall the plugin on your dev environment. You can build only the modified part (for example, if you only modified client files: `npm run build:client`). Check the `package.json` files for available build scripts.
 
When the plugin is already installed on your dev instance, and you haven't changed any dependency, you can quickly install your work by following these steps:
 
re-build necessary parts of the plugin (client, styles, ...),
 
overwrite the `data/plugins/node_modules/peertube-plugin-livechat/dist/` content of your dev instance by the content of the plugin's `dist` folder,
 
change recursively `plugins/node_modules/peertube-plugin-livechat/dist/` files owner to your `peertube` user,
 
restart your instance.
 
Performance tests
 
The [livechat-perf-test](https://github.com/JohnXLivingston/livechat-perf-test) repository contains some tools to make performance tests. It can be used to evaluate code improvements, or find bottlenecks.
 
Document the plugin, or translate the documentation.
 
Documentation
 
General information
 
Always inform the community before working (by creating a new issue, or commenting an existing one). This is to avoid that two persons are working on the same thing, and prevent conflicts.
 
Documentation work has to be merged in the `main` branch.
 
The documentation source code is in the `support/documentation/content` folder.
 
The documentation is generated using [Hugo](https://gohugo.io/). You have to install it on your computer if you want to preview your work.
 
The used theme is [hugo-theme-learn](https://learn.netlify.app/). You should read its documentation before starting editing the documentation.
 
When a new plugin version is released, or when documentation is updated, plugin maintainers will merge the `main` branch to the `documentation` branch. This will trigger github and gitlab pipelines, and update published documentation.
 
Translations
 
The principal language is english (`en` code).
 
The `support/documentation/content/en` folder contains only english documentation files.
 
Documentation is translated using Weblate (see the [translation documentation](/peertube-plugin-livechat/contributing/translate/)). To do so, we use the [po4a tool](https://po4a.org/), as we will se later in this page.
 
Add a new language
 
In the `support/documentation/config.toml` file, please copy and modify the `[Languages.fr]` section.
 

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  1. PeerTube LiveChat
  2. Peertube Plugin Livechat Documentation
  3. Chinois (Traditionnel)
The [livechat-perf-test](https://github.com/JohnXLivingston/livechat-perf-test) repository contains some tools to make performance tests. It can be used to evaluate code improvements, or find bottlenecks.
 
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support/documentation/content/en/contributing/develop/_index.md
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