hocdoc-did-you-mean

A Typescript/Javascript library to print did-you-mean suggestions for humans.

It use the Levenshtein algorithm to get a list of commands wiht the lowest distance to the user input.

This project was bootstrapped with TSDX.

Installation

npm install hocdoc-did-you-mean

or

yarn add hocdoc-did-you-mean

API

didYouMean

Returns a text with suggestions for related commands.

Syntax:

function didYouMean(
  command: string,
  validCommands: string[],
  options: FormatOptions = defaultFormatOptions
): string;

Example:

import { didYouMean, defaultFormatOptions } from 'hocdoc-did-you-mean';

const computers = ['Atari', 'Amiga', 'Mac', 'Arcon', 'Nitendo', 'Sega'];

const suggestion = didYouMean('Aniga', computers);
console.log(suggestion); // Output: "Did you mean 'Amiga'?"

const suggestion2 = didYouMean('Aniga', computers, {{ ...defaultFormatOptions, maxLevenshteinDistance: 10 }});
console.log(suggestion2); // Output: "Did you mean 'Amiga', 'Sega' or 'Atari'?"

FormatOptions:

export interface FormatOptions {
  maxLevenshteinDistance: number;
  maxListLength: number;
  textPrefix: string;
  textPostfix: string;
  textOr: string;
  textItemPrefix: string;
  textItemPostfix: string;
  useColors: boolean;
}

suggestionsList

Returns an array of texts with their distance to the user input, sorted by distance.

Syntax:

function suggestionsList(
  command: string,
  validCommands: string[],
  maxLevenshteinDistance: number
): TextDistance[];

interface TextDistance {
  text: string;
  distance: number;
}

License

MIT