0.2.5 ā€¢ Published 4 years ago

clio-ts v0.2.5

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License
MIT
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-
Last release
4 years ago

clio-ts

šŸ’» A type-driven command line argument parser, with awesome error reporting šŸ¤¤

Not all command line arguments are strings, but for some reason, our CLI parsers force us to use strings everywhere. šŸ¤” clio-ts is a fully-fledged command line argument parser, influenced by Rust's clap and structopt:

šŸ¤© Awesome autocomplete, awesome safeness

šŸŽ­ Decode your own custom types from strings with logic and context-aware error handling

šŸŒ² Nested subcommands, composable API

Basic usage

import { command, run, string, number, positional, option } from 'clio-ts';

const cmd = command({
  name: 'my-command',
  description: 'print something to the screen',
  version: '1.0.0',
  args: {
    number: positional({ type: number, displayName: 'num' }),
    message: option({
      long: 'greeting',
      type: string,
    }),
  },
  handler: args => {
    args.message; // string
    args.number; // number
    console.log(args);
  },
});

run(cmd, process.argv.slice(2));

command(arguments)

Creates a CLI command. Returns either a parsing error, or an object where every argument provided gets the value with the correct type, along with a special _ key that contains the "rest" of the positional arguments.

Decoding custom types from strings

Not all command line arguments are strings. You sometimes want integers, UUIDs, file paths, directories, globs...

Note: this section describes the ReadStream type, implemented in ./src/example/test-types.ts

Let's say we're about to write a cat clone. We want to accept a file to read into stdout. A simple example would be something like:

// my-app.ts

import { command, run, positional, string } from 'clio-ts';

const app = command({
  /// name: ...,
  args: {
    file: positional({ type: string, displayName: 'file' }),
  },
  handler: ({ file }) => {
    // read the file to the screen
    fs.createReadStream(file).pipe(stdout);
  },
});

// parse arguments
run(app, process.argv.slice(2));

That works okay. But we can do better. In which ways?

  • Error handling is out of the command line argument parser context, and in userland, making things less consistent and pretty.
  • It shows we lack composability and encapsulation ā€” and we miss a way to distribute shared "command line" behavior.

What if we had a way to get a Stream out of the parser, instead of a plain string? This is where clio-ts gets its power from, custom type decoding:

// ReadStream.ts

import { Type } from 'clio-ts';
import fs from 'fs';

// Type<string, Stream> reads as "A type from `string` to `Stream`"
const ReadStream: Type<string, Stream> = {
  async from(str) {
    if (!fs.existsSync(str)) {
      // Here is our error handling!
      return { result: 'error', message: 'File not found' };
    }

    return { result: 'ok', value: fs.createReadStream(str) };
  },
};

Now we can use (and share) this type and always get a Stream, instead of carrying the implementation detail around:

// my-app.ts

import { command, run, positional } from 'clio-ts';

const app = command({
  // name: ...,
  args: {
    stream: positional({ type: ReadStream, displayName: 'file' }),
  },
  handler: ({ stream }) => stream.pipe(process.stdout),
});

// parse arguments
run(app, process.argv.slice(2));

Encapsulating runtime behaviour and safe type conversions can help us with awesome user experience:

  • We can throw an error when the file is not found
  • We can try to parse the string as a URI and check if the protocol is HTTP, if so - make an HTTP request and return the body stream
  • We can see if the string is -, and when it happens, return process.stdin like many Unix applications

And the best thing about it ā€” everything is encapsulated to an easily tested type definition, which can be easily shared and reused. Take a look at io-ts-types, for instance, which has types like DateFromISOString, NumberFromString and more, which is something we can totally do.

Inspiration

This project is called clio-ts, because it was based on io-ts. This is no longer the case, because I want to reduce the dependency count and mental overhead. I might have a function to migrate types between the two.

Development

This project was bootstrapped with TSDX.

Local Development

Below is a list of commands you will probably find useful.

npm start or yarn start

Runs the project in development/watch mode. Your project will be rebuilt upon changes. TSDX has a special logger for you convenience. Error messages are pretty printed and formatted for compatibility VS Code's Problems tab.

Your library will be rebuilt if you make edits.

npm run build or yarn build

Bundles the package to the dist folder. The package is optimized and bundled with Rollup into multiple formats (CommonJS, UMD, and ES Module).

npm test or yarn test

Runs the test watcher (Jest) in an interactive mode. By default, runs tests related to files changed since the last commit.

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