travel/admin/node_modules/omelette/README.md

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2024-06-24 11:28:18 +08:00
<img src="https://rawgit.com/f/omelette/master/resources/logo.svg?v1" height="80">
> Omelette is a simple, template based autocompletion tool for Node projects with super easy API.
[![npm version](https://badge.fury.io/js/omelette.svg)](https://badge.fury.io/js/omelette)
[![Build Status](https://travis-ci.org/f/omelette.svg?branch=master)](https://travis-ci.org/f/omelette)
```bash
yarn add omelette
# or
npm install omelette
```
You just have to decide your program name and CLI fragments.
```javascript
omelette`github ${['pull', 'push']} ${['origin', 'upstream']} ${['master', 'develop']}`.init()
```
And you are almost done! The output will be like this:
<img src="https://raw.github.com/f/omelette/master/resources/omelette-new.gif?v1" width="640">
## Quick Start
Implementing omelette is very easy.
```javascript
import * as omelette from 'omelette';
const firstArgument = ({ reply }) => {
reply([ 'beautiful', 'cruel', 'far' ])
}
const planet = ({ reply }) => {
reply([ 'world', 'mars', 'pluto' ])
}
omelette`hello|hi ${firstArgument} ${planet}`.init()
```
<img src="https://raw.github.com/f/omelette/master/resources/omelette-new-hello.gif?v1" width="640">
### Simple Event Based API ☕️
It's based on a simple CLI template.
Let's think we have a executable file with the name **githubber**, *in a global path*.
And in our program, code will be:
```javascript
import * as omelette from 'omelette';
// Write your CLI template.
const completion = omelette(`githubber|gh <action> <user> <repo>`);
// Bind events for every template part.
completion.on('action', ({ reply }) => {
reply([ 'clone', 'update', 'push' ])
})
completion.on('user', ({ reply }) => {
reply(fs.readdirSync('/Users/'))
})
completion.on('repo', ({ before, reply }) => {
reply([
`http://github.com/${before}/helloworld`,
`http://github.com/${before}/blabla`
])
})
// Initialize the omelette.
completion.init()
// If you want to have a setup feature, you can use `omeletteInstance.setupShellInitFile()` function.
if (~process.argv.indexOf('--setup')) {
completion.setupShellInitFile()
}
// Rest is yours
console.log("Your program's default workflow.")
console.log(process.argv)
```
`complete.reply` is the completion replier. You must pass the options into that method.
### ES6 Template Literal API 🚀
You can use **Template Literals** to define your completion with a simpler (super easy) API.
```javascript
import * as omelette from 'omelette';
// Just pass a template literal to use super easy API.
omelette`hello ${[ 'cruel', 'nice' ]} ${[ 'world', 'mars' ]}`.init()
```
Let's make the example above with ES6 TL:
```javascript
import * as omelette from 'omelette'
// Write your CLI template.
omelette`
githubber|gh
${[ 'clone', 'update', 'push' ]}
${() => fs.readdirSync('/Users/')}
${({ before }) => [
`http://github.com/${before}/helloworld`,
`http://github.com/${before}/blabla`,
]}
`.init()
```
Also you can still use lambda functions to make more complex template literals:
#### Advanced Template Literals
```javascript
import * as omelette from 'omelette';
omelette`
githubber|gh
${['pull', 'push', 'star'] /* Direct command list */}
${require('some/other/commands') /* Import from another file */}
${getFromRemote('http://api.example.com/commands') /* Remote call at the beginning */}
${({ reply }) => fetch('http://api.example.com/lazy-commands').then(reply) /* Fetch when argument <tab>bed */}
${() => fs.readdirSync("/Users/") /* Access filesystem via Node */}
${({ before }) => [ /* Use parameters like `before`, `line`, `fragment` or `reply` */
`${before}/helloworld`,
`${before}/blabla`
]}
`.init()
// No extra configuration required.
console.log("Your program's default workflow.")
console.log(process.argv)
```
### Tree API 🌲
You can use `simple objects` as autocompletion definitions:
```javascript
omelette('hello').tree({
cruel: ['world', 'moon'],
beautiful: ['mars', 'pluto']
}).init();
```
## Install
### Automated Install
Installing, and making your users install the autocompletion feature is very simple.
You can use simply use `setupShellInitFile` function.
```javascript
// If you want to write file,
complete.setupShellInitFile('~/.my_bash_profile')
```
If you use Bash, it will create a file at `~/.<program-name>/completion.sh` and
append a loader code to `~/.bash_profile` file.
If you use Zsh, it appends a loader code to `~/.zshrc` file.
If you use Fish, it appends a loader code to `~/.config/fish/config.fish` file.
*TL;DR: It does the Manual Install part, basically.*
### Manual Install
*(You should add these instructions to your project's README)*
In **zsh**, you can write these:
```bash
echo '. <(./githubber --completion)' >> .zshrc
```
In **bash**, you should write:
```bash
./githubber --completion >> ~/githubber.completion.sh
echo 'source ~/githubber.completion.sh' >> .bash_profile
```
In **fish**, you can write:
```bash
echo 'githubber --completion-fish | source' >> ~/.config/fish/config.fish
```
That's all!
Now you have an autocompletion system for your CLI tool.
## Additions
There are some useful additions for omelette.
### Parameters
Callbacks have two parameters:
- The fragment name (e.g.`command` of `<command>` template) *(only in global event)*
- The meta data
- `fragment`: The number of fragment.
- `before`: The previous word.
- `line`: The whole command line buffer allow you to parse and reply as you wish.
- `reply`: This is the reply function to use *this-less* API.
### Global Event
You also can be able to listen all fragments by "complete" event.
```javascript
complete.on('complete', (fragment, { reply }) => reply(["hello", "world"]));
```
### Numbered Arguments
You also can listen events by its order.
```javascript
complete.on('$1', ({ reply }) => reply(["hello", "world"]))
```
### Autocompletion Tree
You can create **completion tree** to more complex autocompletions.
```js
omelette('hello').tree({
how: {
much: {
is: {
this: ['car'],
that: ['house'],
}
}
are: ['you'],
many: ['cars', 'houses'],
},
where: {
are: {
you: ['from'],
the: ['houses', 'cars'],
},
is: {
// You can also add some logic with defining functions:
your() {
return ['house', 'car'];
},
}
},
}).init()
```
Now you will be able to use your completion as tree.
<img src="https://raw.github.com/f/omelette/master/resources/omelette-tree-new.gif?v1" width="640">
> Thanks [@jblandry](https://github.com/jblandry) for the idea.
#### Advanced Tree Implementations
You can seperate your autocompletion by importing objects from another file:
```js
omelette('hello').tree(require('./autocompletion-tree.js')).init();
```
### Short Names
You can set short name of an executable:
In this example, `githubber` is long and `gh` is shorter examples.
```javascript
omelette('githubber|gh <module> <command> <suboption>');
```
## Test
Now, you can try it in your shell.
```bash
git clone https://github.com/f/omelette
cd omelette/example
alias githubber="./githubber" # The app should be global, completion will search it on global level.
./githubber --setup --debug # --setup is not provided by omelette, you should proxy it.
# (reload bash, or source ~/.bash_profile or ~/.config/fish/config.fish)
omelette-debug-githubber # See Debugging section
githubber<tab>
ghb<tab> # short alias
gh<tab> # short alias
```
### Debugging
`--debug` option generates a function called `omlette-debug-<programname>`.
(`omlette-debug-githubber` in this example).
When you run `omlette-debug-<programname>`, it will create aliases for your
application. (`githubber` and `gh` in this example).
Long name,
```bash
$ githubber<tab>
clone update push
```
Or short name:
```bash
$ gh<tab>
clone update push
```
Then you can start easily.
```bash
$ ./githubber<tab>
clone update push
```
```bash
$ ./githubber cl<tab>
$ ./githubber clone<tab>
Guest fka
```
```bash
$ ./githubber clone fka<tab>
$ ./githubber clone fka http://github.com/fka/<tab>
http://github.com/fka/helloworld
http://github.com/fka/blabla
```
## Who uses?
**Windows Azure** uses Omelette to support autocompletion in [azure-cli](https://github.com/WindowsAzure/azure-sdk-tools-xplat).
## Contribute
I need your contributions to make that work better!
## License
This project licensed under MIT.