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Timor-Leste geographic datasets

Project description

Timor GIS

Timor Leste GIS data as Django models This initial release uses administrative boundariew from Estrada, tweaked to include Atauro as a separate entity, with pcode which are intended to match existing data from PNDS.

Data inputs are stored as gpkg files in Git LFS.

Environment

This is intended to be compatible with:

  • Django 4.1+
  • Python 3.10+
gh repo clone catalpainternational/timor_locations
cd timor_locations
poetry install

Development

  • When developing please install prerequisites with poetry install --with dev --no-root

Pre Commit

If pre-commit is installed your code will be checked before commit. This includes

  • black
  • flake8
  • isort
  • mypy

The same checks are run on push. See pytest.yaml for details on the checks being run.

New Release

For a new release, change the version property in pyproject.toml and push a git tag with the version number

See build.yaml for details on release tagging

Changelog

...

Manually Uploading a new version to PyPi

Bump pyproject.toml Then run poetry build and poetry publish

poetry build
poetry publish

See the file build.yml for the workflow

Project details


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