ligttools 0.2.2

Tools for converting data between different formats and RDF specification

ligttools

A collection of tools for converting IGT (Interlinear Glossed Text) data between different formats, including Ligt, an RDF specification.

Overview

ligttools is a Python library and collection of command-line tools for working with Interlinear Glossed Text in RDF. It provides utilities for converting data between various commonly used formats (ToolBox, FLEx, etc.) and RDF (Resource Description Framework) using Ligt vocabulary.

Installation

Install ligttools using pip:

git clone https://github.com/ligt-dev/ligttools.git
pip install .

After installing the package, a command-line tool ligt-convert will be available in your system.

If you installed the package in a virtual environment, make sure the environment is activated before to use the tool.

For Developers

For development, we recommend using uv. To set up the environment:

# Clone the repository
git clone https://github.com/ligt-dev/ligttools.git
cd ligttools
uv sync

# For development dependencies (testing, etc.)
uv sync --extra dev

Available Tools

ligt-convert

A tool for converting data between common IGT data formats and RDF-based Ligt:

# Convert from CLDF to Ligt
ligt-convert -f cldf -t ligt input.json -o output.rdf

# Convert from Ligt to Toolbox 
ligt-convert -f ligt -t toolbox input.rdf -o output.json

# You can also use long-form flags:
ligt-convert --from=cldf --to=ligt examples.csv --output=examples.ttl

# List supported formats
ligt-convert --list-formats

For advanced usage:

# Read from stdin (specify input format explicitly)
cat input.json | ligt-convert -f cldf -t ligt -o output.ttl

# Write to stdout (omit the output file)
ligt-convert -f cldf -t ligt examples.csv

# Specify RDF serialisation (default is Turtle)

ligt-convert -f cldf -t ligt.n3 examples.csv

Other tools (in development)

• ligt-validate - Validates data against the Ligt schema
• ligt-query - Query RDF data using SPARQL
• ligt-visualize - Visualizes linguistic data structures

Python API

You can also use LigtTools as a Python library:

from ligttools.converters import get_converter

# Convert JSON to RDF
cldf_converter = get_converter('cldf')
rdf_data = cldf_converter.to_rdf('examples.csv', 'output.ttl')

# Convert RDF to JSON
json_data = cldf_converter.from_rdf('input.ttl', 'output.csv')

# Get list of supported formats
from ligttools.converters import get_supported_formats
formats = get_supported_formats()

Supported Formats

Currently, ligttools supports the following formats:

• CLDF
• ToolBox
• FLExText

Extending ligttools

To add support for a new format:

1. Create a new converter class that extends BaseConverter
2. Implement the to_rdf and from_rdf methods
3. Register the converter using the registration function

Example:

from ligttools.converters.base import BaseConverter
from ligttools.converters import register_converter

class ELANConverter(BaseConverter):
    def to_rdf(self, input_data, output_path=None):
        # Implementation...
        pass

    def from_rdf(self, input_data, output_path=None):
        # Implementation...
        pass

# Register the converter
register_converter('xml', ELANConverter)

License

This software is licensed under the MIT License.