1.1.0 • Published 8 years ago
yargs-promise v1.1.0
yargs-promise
Use the headless yargs parser with promises!
Install
npm
npm install --save yargs-promise
yarn
yarn add --save yargs-promise
Usage
Instead of using a callback with yargs.parse, use a promise chain: parser.parse(text).then().catch()
.
Examples:
const yargs = require('yargs');
const YargsPromise = require('yargs-promise');
// create the customized yargs parser
const parser = new YargsPromise(yargs);
// setup command & command handler
parser
.command('hello <name>', 'hello world parser' , ()=>{}, (argv) => {
// resolve a promise or other value
argv.resolve(doSomething);
// reject stuff
argv.reject(yourErrorData);
// or do nothing and reject/resolve will be handled internally
console.log('testing argv');
})
.help();
// parse text input and use the returned promise
parser.parse('hello world')
.then(({data, argv}) => {
// data is what your code resolved or what an internal command resolved
})
.catch(({error, argv}) => {
// `error` is what your code rejected or an internal error from yargs
});
Customizing context example
const yargs = require('yargs');
const YargsPromise = require('yargs-promise');
const parser = new YargsPromise(
yargs,
// customize context
{
customContextMethod: () => {},
foo: 'bar'
}
);
parser
.command('hello <name>', 'hello world parser' , ()=>{}, (argv) => {
// argv now contains
argv.customContextMethod();
console.log(argv.foo);
})
.help();
Need access to yargs object? Work with the direct yargs
object prior to passing it into the yargs-promise constructor. For convenience, it is also available at parser.yargs
.
How it works
This library does three things:
- wraps the yargs.parse in a new Promise
- no more callbacks
- attaches that Promises
resolve
&reject
methods on the context passed to yargs.parse- this enables you to call
argv.resolve
orargv.reject
in command handler function
- this enables you to call
- handles default behavior
- from Error validation
- output from internal commands like
.help()
- unhandled output from custom handler
Checkout the source code or tests for more information.
Why
Building chatbots requires parsing and handling text input. This wraps up the most common needs I've come across for handling errors, simple commands, and commands with handlers.