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A generic Python interface for dataset services such as GeoServer, CKAN, and HydroShare

Project description

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Tethys Dataset Services

Tethys datasets provides Python programming interface for dataset services such as GeoServer, CKAN and HydroShare.


NOTE

Tethys Dataset Services versions 2.0.0 and up will only support Python 3. For Python 2 support see version 1.7.0.


Installation

Tethys Datasets Services can be installed via conda or downloading the source. To install via conda:

conda install tethys_dataset_services

To install via source:

git clone https://github.com/CI-WATER/django-tethys_dataset_services.git
cd tethys_dataset_services
pip install .

To install a development (editable) version:

git clone https://github.com/CI-WATER/django-tethys_dataset_services.git
cd tethys_dataset_services
pip install --editable .

Versioning and Releases

This project uses setuptools_scm for automatic versioning based on git tags and has migrated from setup.cfg to pyproject.toml for modern Python packaging standards. The version is automatically determined from the latest git tag and the number of commits since that tag.

Creating a Release

To create a new release:

  1. Create and push a git tag with the version number (following semantic versioning):

    git tag 2.4.0
    git push origin 2.4.0
    
  2. The GitHub Action workflow will automatically:

    • Run all tests on Python 3.10, 3.11, 3.12, and 3.13
    • Build the package
    • Publish to PyPI

Development Versions

During development, the version will include the commit hash and distance from the last tag (e.g., 2.4.1.dev5+g1234567).

PyPI Configuration

For automatic publishing to work, you need to configure PyPI API token in your repository secrets as PYPI_API_TOKEN, or set up trusted publishing in your PyPI account settings.

Tests

Tests are executed using tox:

pip install .[tests]
tox

End-to-End Tests

End-to-end tests are not run automatically, b/c they require some additional set up. They can be run as follows.

  1. Install Docker: https://docs.docker.com/get-docker/

  2. Install Docker Compose: https://docs.docker.com/compose/install/

  3. Run Docker Compose to create test containers:

cd tests
docker-compose up -d
  1. Wait at least 30 seconds for the docker containers to settle down, then run the setup script to create the database tables:
. setup_e2e_tests.sh
  1. From the directory with the tox.ini, run the tests using tox:
cd ..
tox -e e2e_gs_tests
  1. It is recommended that after each run, you refresh the Docker containers. Run the following command to remove them:
cd tests
docker-compose down

Then repeat steps 3-5.

Usage

from tethys_dataset_services.engines import CkanDatasetEngine

engine = CkanDatasetEngine(endpoint='http://<ckan_host>/api/3/action',
                         apikey='G3taN@p|k3Y')

result = engine.list_datasets()

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