development.md

Development

DAN uses different tools during its development.

Linter

Code syntax is analyzed before submitting the code.

To run the linter tools suite you may use pre-commit.

pip install pre-commit
pre-commit run -a

Tests

Unit tests

Tests are executed with tox using pytest.

pip install tox
tox

To recreate tox virtual environment (e.g. a dependencies update), you may run tox -r.

Run a single test module: tox -- <test_path> Run a single test: tox -- <test_path>::<test_function>

The tests use a large file stored via Git-LFS. Make sure to run git-lfs pull before running them.

Commands

As unit tests do not test everything, it is sometimes necessary to use DAN commands directly to test developments.

Training command

The library already has all the documents needed to run the training command on a minimalist dataset. You can use the configuration available at configs/tests.json. It is already populated with the parameters used in the unit tests.

teklia-dan train --config configs/tests.json

Predict command

The library already has all the documents needed to run the predict command with a minimalist model. In the tests/data/prediction directory, you can run the following command and add any extra parameters you need:

teklia-dan predict \
    --image-dir images/ \
    --image-extension png \
    --model . \
    --output /tmp/dan-predict

Evaluation command

The library already has all the documents needed to run the evaluation command on a minimalist dataset. You can use the configuration available at configs/eval.json. It is already populated with the parameters used in the unit tests.

teklia-dan evaluate --config configs/eval.json

Convert command

If you want to evaluate a NER models with you own scripts, you can convert DAN's predictions in BIO format, using the convert command.

teklia-dan convert /tmp/dan-predict --tokens tokens.yml --output /tmp/dan-convert

Documentation

This documentation uses Sphinx and was generated using MkDocs and mkdocstrings.

Setup

Install the needed dependencies through:

# In a clone of the Git repository
pip install -r doc-requirements.txt

Build the documentation using mkdocs serve -v. You can then write in Markdown in the relevant docs/*.md files, and see live output on http://localhost:8000.

Linter

This documentation is subject to linting using:

• doc8, the linting rules applied can be found on its documentation,
• mdformat, the formatting rules applied can be found on its documentation.