Prettier Apex
This is a code formatter for the Apex Programming Language,
used on the Salesforce development platform.
It uses the excellent Prettier engine for formatting,
and the jorje compiler from Salesforce for parsing.
Status
This project is actively being worked on, and has been tested on production code.
- Formatting still needs work.
- Some defaults might be changed in the future, e.g. default number of spaces,
continuation indent, etc.
Usage
Requirements
- Node >= 8
- Java Runtime Engine >= 1.8.0
How to use
First, install the library:
npm install --save-dev prettier prettier-plugin-apex
npm install --global prettier prettier-plugin-apex
If you install globally, run:
prettier --write "/path/to/project/**/*.{trigger,cls}"
If you install locally, you can add prettier as a script in package.json
:
{
"scripts": {
"prettier": "prettier"
}
}
Then in order to run it:
npm run prettier -- --write "/path/to/project/**/*.{trigger,cls}"
Configuration
This library follows the same configuration format as Prettier,
which is documented here.
The amount of configuration is very limited,
because this is intended to be a very opinionated formatter.
Here is the default configuration that can be overriden:
{
"tabWidth": 2,
"printWidth": 80
}
Performance Tips/3rd party integration
By default,
this library invokes a CLI application to get the AST of the Apex code.
However, since this CLI application is written in Java,
there is a heavy start up cost associated with it.
In order to alleviate this issue,
we also have an optional Nailgun server
that makes sure the start up is invoked exactly once.
This is especially useful if this library is integrated in a 3rd party application.
In order to use this server,
you have to evoke it out of band before running Prettier,
as well as specifying a special flag when running Prettier:
start-apex-server
node /path/to/libary/bin/start-apex-server.js
prettier --use-standalone-server --write "/path/to/project/**/*.{trigger,cls}"
stop-apex-server
node /path/to/libary/bin/stop-apex-server.js
License
MIT