.gitlab-ci.yml

# This file is a template, and might need editing before it works on your project.
# To contribute improvements to CI/CD templates, please follow the Development guide at:
# https://docs.gitlab.com/ee/development/cicd/templates.html
# This specific template is located at:
# https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/ci/templates/Python.gitlab-ci.yml

# Official language image. Look for the different tagged releases at:
# https://hub.docker.com/r/library/python/tags/
#image: python:latest
image: python:3.10 # temporarily reverted to 3.10 as 3.11 gave a weird install error on gdal

# Change pip's cache directory to be inside the project directory since we can
# only cache local items.
variables:
  PIP_CACHE_DIR: "$CI_PROJECT_DIR/.cache/pip"

# Pip's cache doesn't store the python packages
# https://pip.pypa.io/en/stable/topics/caching/
#
# If you want to also cache the installed packages, you have to install
# them in a virtualenv and cache it as well.
cache:
  paths:
    - .cache/pip
    - venv/

before_script:
  - apt update && apt --yes install libgdal-dev # OS library requirement
  - python --version  # For debugging
  - pip install virtualenv
  - virtualenv venv
  - source venv/bin/activate
  # Ideally gdal would be used, but can give issues with installation,
  # particularly in virtual environments. An alternative is to use pygdal.
  # Note that the gdal package needs to be identical to the OS
  # version. It is not backwards-compatible, so installing the latest version
  # won't work.
  #
  # Setuptools currently needs to be downgraded to fix an installation bug
  - pip install setuptools==58.0.0
  #
  # numpy also needs to explicitly be installed to allow arrays in gdal
  - pip install numpy
  - pip install gdal==`gdal-config --version`
  # A pygdal alternative install line is here.
  #- pip install "pygdal>=`gdal-config --version`.0,<=`gdal-config --version`.999"
  - pip install -r requirements.txt

test:
  script:
    - python -m pytest tests/


# Commented as it wasn't sure what this was testing.
#run:
#  script:
#    - python setup.py bdist_wheel
#    # an alternative approach is to install and run:
#    - pip install dist/*
#    # run the command here
#  artifacts:
#    paths:
#      - dist/*.whl