A command-line interface (CLI) for training and searching Boox datasets.

Install boox-cli globally using npm or yarn:

npm install -g boox-cli

# Or

yarn global add boox-cli

To train a Boox dataset, use the train command:

boox-cli train <source> [destination] [options]

• <source>: The path to your dataset file (JSON format).
• [destination]: (Optional) The path where the trained data will be saved. Defaults to the current directory.

Options:

• -i, --id <field>: The field in your dataset objects that uniquely identifies each document (default: 'id').
• -f, --features <fields...>: The fields to index for search (multiple fields can be specified).
• -a, --attributes <fields...>: The fields to include as-is without indexing (multiple fields can be specified).
• -d, --deflate: Compress the trained data as .dat file (default: false).
• -c, --cwd <folder>: The working directory (default: current directory).
• -r, --rcname <name>: The name of the Boox configuration file (default: 'boox').

Example:

boox-cli train data/products.json -f title description -a price

This command will train a Boox dataset from the data/products.json file, indexing the title and description fields for search and including the price field as-is. The trained data will be saved as a compressed .gz file.

To search a trained Boox dataset, use the search command:

boox-cli search <source> <query> [options]

• <source>: The path to the trained dataset file (.dat or .gz).
• <query>: The search query string.

Options:

• -o, --offset <number>: The offset for pagination (default: '1').
• -l, --length <number>: The number of results per page (default: '10').
• -k, --context <field>: Display the context instead of paginated results object.
• -a, --attrs <fields...>: Fields to display when --context is provided.
• -d, --deflate: Assume the trained data is deflated as .dat file (default: false).
• -c, --cwd <folder>: The working directory (default: current directory).
• -r, --rcname <name>: The name of the Boox configuration file (default: 'boox').

Example:

boox-cli search data/products-trained.gz "shoes" -o 2 -l 20

This command will search the data/products-trained.gz dataset for documents containing the word "shoes", starting from the second page and displaying 20 results per page.

You can create a Boox configuration file in your project's root directory to specify default options for the boox-cli train and boox-cli search commands:

• .booxrc
• .booxrc.json
• .booxrc.{yaml,yml}
• .boox.{mjs,cjs,js}
• boox.config.{mjs,cjs,js}

Before using the example below, make sure to install the required libraries:

npm install -D double-metaphone stemmer stopword marked marked-plaintify

Here's an example of a Boox configuration file:

// boox.config.js
import { doubleMetaphone } from 'double-metaphone'
import { Marked } from 'marked'
import markedPlaintify from 'marked-plaintify'
import { stemmer } from 'stemmer'
import { removeStopwords } from 'stopword'

const marked = new Marked({ gfm: true }).use(markedPlaintify())
const wordRegexp = /\b\w+\b/g

/** @type {() => import('boox').BooxOptions} */
export default function defineBooxConfig() {
  return {
    id: 'customId',
    features: ['title', 'content', 'tags'],
    attributes: ['author', 'date'],
    modelOptions: {
      normalizer(input) {
        // Remove Markdown formatting
        return marked.parse(input)
      },
      tokenizer(input) {
        const tokens = Array.from(input.match(wordRegexp) || [])
        return removeStopwords(tokens)
      },
      stemmer: stemmer,
      phonetic: doubleMetaphone
    }
  }
}

The --rcname flag allows you to customize the name of the configuration file. For example, to use a configuration file named my-appname.config.js, you would run the following command:

boox-cli train src/dataset.json --rcname my-appname