JSPM

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  • License MIT

Base prompt module used for creating custom prompt types for Enquirer.

Package Exports

  • prompt-base

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (prompt-base) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

prompt-base NPM version NPM monthly downloads NPM total downloads Linux Build Status

Base prompt module used for creating custom prompt types for Enquirer.

Install

Install with npm:

$ npm install --save prompt-base

Usage

var Prompt = require('prompt-base');
var prompt = new Prompt({
  name: 'color',
  message: 'What is your favorite color?'
});

prompt.run()
  .then(function(answer) {
    console.log(answer);
  })

API

Prompt

Create a new Prompt with the given question object, answers and optional instance of readline-ui.

Example

var prompt = new Prompt({
  name: 'color',
  message: 'What is your favorite color?'
});

prompt.ask(function(answer) {
  console.log(answer);
  //=> 'blue'
});

Params

  • question {Object}: Plain object or instance of prompt-question.
  • answers {Object}: Optionally pass an answers object from a prompt manager (like enquirer).
  • ui {Object}: Optionally pass an instance of readline-ui. If not passed, an instance is created for you.

.run

Initialize a prompt and resolve answers. If question.when returns false, the prompt will be skipped.

Params

  • answers {Object}
  • returns {Promise}

.render

Render the current prompt input. This can be replaced by custom prompts.

Example

prompt.ui.on('keypress', prompt.render.bind(prompt));

.format

Returns a formatted prompt message.

  • returns {String}

.choices

Getter for getting the choices array from the question.

  • returns {Object}: Choices object

.message

Getter that returns question.message after passing it to format.

  • returns {String}: A formatted prompt message.

.prefix

Getter that returns the prefix to use before question.message. The default value is a green ?.

  • returns {String}: The formatted prefix.

.Separator

Create a new Separator object. See choices-separator for more details.

Example

new Prompt.Separator();

Params

  • separator {String}: Optionally pass a string to use as the separator.
  • returns {Object}: Returns a separator object.

Examples

Instantiate

The main purpose of this library is to be inherited by other libraries to create custom prompt types. However, the main export is a function that can be instantiated to run basic "input" prompts, if you want to see how everything works, run examples, tests, etc.

var Prompt = require('prompt-base');
var prompt = new Prompt({
  name: 'first',
  message: 'What is your name?'
});

// callback
prompt.ask(function(answer) {
  console.log(answer);
  //=> 'Jon'
});

// promise
prompt.run()
  .then(function(answers) {
    console.log(answers);
    //=> {first: 'Jon'}
  });

Inherit

var Prompt = require('prompt-base');

function CustomPrompt(/*question, answers, rl*/) {
  Prompt.apply(this, arguments);
}

util.inherits(CustomPrompt, Prompt);

In the wild

The following custom prompts were created using this library:

About

Contributing

Pull requests and stars are always welcome. For bugs and feature requests, please create an issue.

Please read the contributing guide for avice on opening issues, pull requests, and coding standards.

Building docs

(This document was generated by verb-generate-readme (a verb generator), please don't edit the readme directly. Any changes to the readme must be made in .verb.md.)

To generate the readme and API documentation with verb:

$ npm install -g verb verb-generate-readme && verb

Running tests

Install dev dependencies:

$ npm install -d && npm test

Author

Jon Schlinkert

License

Copyright © 2016, Jon Schlinkert. Released under the MIT license.


This file was generated by verb-generate-readme, v0.2.0, on December 07, 2016.