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@cli-upkaran/dataprep-core

v0.0.4

Published

Core data preparation logic, types, and interfaces for cli-upkaran

Readme

@cli-upkaran/dataprep-core

npm version

Core data preparation logic, types, and interfaces for cli-upkaran.

This package provides the shared foundation for data preparation pipelines used by various cli-upkaran commands. It defines the structure for adapters (data sources) and transformers (data modifiers).

Features

  • Defines core data structures (e.g., DataSource, Document).
  • Defines interfaces for Adapters and Transformers.
  • Provides utilities for common tasks like text splitting, whitespace removal, and token counting (using js-tiktoken).
  • Orchestrates the data preparation pipeline: Adapters -> Transformers -> Formatters.

Installation

This package is intended as a dependency for cli-upkaran commands and adapters/transformers.

pnpm add @cli-upkaran/dataprep-core

Concepts

  • Adapters: Responsible for fetching raw data from a source (e.g., filesystem, website, database) and converting it into a stream of DataSource objects.
  • Transformers: Modify the content or metadata of Document objects within DataSources (e.g., chunking, cleaning, metadata extraction).
  • Formatters: Take the final processed DataSource objects and format them for output (e.g., Markdown, JSON).

Usage

Command plugins interact with this core library to execute data preparation pipelines.

import {
  runDataPrepPipeline,
  type DataPrepAdapterOptions,
  // ... other types
} from '@cli-upkaran/dataprep-core';

async function runMyDataCommand(options: MyDataCommandOptions) {
  // Configure adapter(s)
  const adapterOptions: DataPrepAdapterOptions = {
     adapterType: 'filesystem', // or 'website', etc.
     // ... adapter-specific config from options ... 
  };
  
  // Configure transformer(s)
  const transformerOptions = { /* ... */ };
  
  // Configure formatter
  const formatterOptions = { format: options.outputFormat };

  // Execute the pipeline
  await runDataPrepPipeline({
    adapterConfigs: [adapterOptions],
    transformerConfigs: [transformerOptions],
    formatterConfig: formatterOptions,
    outputFile: options.outputFile,
  });
}

(Note: The exact API (runDataPrepPipeline) is illustrative and may differ based on actual implementation.)

Contributing

See the main CONTRIBUTING.md in the root of the repository.

License

MIT - See the main LICENSE file in the root of the repository.