.gitlab-ci.yml

before_script:
  - git lfs pull


# Advise GitLab that these environment vars should be loaded from the Variables config.
variables:
    PYPI_USER: SECURE
    PYPI_PASSWORD: SECURE
    ANACONDA_USER: SECURE
    ANACONDA_PASSWORD: SECURE
    ANACONDA_TOKEN: SECURE



stages:
  - test
  - deploy
  - cleanup


test_py_tools_ds:
  stage: test
  script:
    - source /root/miniconda3/bin/activate
    - export GDAL_DATA=/root/miniconda3/share/gdal
    - export PYTHONPATH=$PYTHONPATH:/root  # /root <- directory needed later
    - make nosetests
    - make docs
  artifacts:
    paths:
    - htmlcov/
    - docs/_build/html/
    - nosetests.html
    - nosetests.xml
    when: always


test_styles:
  stage: test
  script:
    - source /root/miniconda3/bin/activate
    - export GDAL_DATA=/root/miniconda3/share/gdal
    - export PYTHONPATH=$PYTHONPATH:/root  # /root <- directory needed later
    - make lint
  artifacts:
    paths:
    - tests/linting/flake8.log
    - tests/linting/pycodestyle.log
    - tests/linting/pydocstyle.log
    when: always


test_py_tools_ds_install:
  stage: test
  script:
    - source /root/miniconda3/bin/activate
    - export GDAL_DATA=/root/miniconda3/share/gdal
    - conda create -y -q --name py_tools_ds python=3
    - source activate py_tools_ds
     # resolve some requirements with conda
    - conda install --yes -q -c conda-forge numpy gdal scikit-image pyproj rasterio shapely geopandas
    # run installer
    - python setup.py install
    # test if its importable
    - cd ..
    - pwd
    - ls
    - python -c "import py_tools_ds; print(py_tools_ds)"
    - python -c "from py_tools_ds.geo.vector.geometry import boxObj"
  only:
    - master


pages:  # this job must be called 'pages' to advise GitLab to upload content to GitLab Pages
  stage: deploy
  dependencies:
    - test_py_tools_ds
  script:
      # Create the public directory
    - rm -rf public
    - mkdir public
    - mkdir -p public/doc
    - mkdir -p public/coverage
    - mkdir -p public/nosetests_reports
    # Copy over the docs
    - cp -r docs/_build/html/* public/doc/
    # Copy over the coverage reports
    - cp -r htmlcov/* public/coverage/
    # Copy over the nosetests reports
    - cp nosetests.* public/nosetests_reports/
    # Check if everything is working great
    - ls -al public
    - ls -al public/doc
    - ls -al public/coverage
    - ls -al public/nosetests_reports
  artifacts:
    paths:
      - public
    expire_in: 30 days
  only:
    - master


deploy_pypi:
  stage: deploy
  dependencies:
    - test_py_tools_ds
  script:   # Configure the PyPI credentials, then push the package, and cleanup the creds.
    - source /root/miniconda3/bin/activate
    - printf "[distutils]\nindex-servers =\n    pypi\n\n" >> ~/.pypirc
    - printf "[pypi]\n""repository:"" https://upload.pypi.org/legacy/\n" >> ~/.pypirc
    - printf "username= ${PYPI_USER}\n" >> ~/.pypirc
    - printf "password= ${PYPI_PASSWORD}\n" >> ~/.pypirc
    - python setup.py check sdist upload -r pypi  # This will fail if your creds are bad.
    - echo "" > ~/.pypirc && rm ~/.pypirc  # If the above fails, this won't run.
  only:
    - /^v\d+\.\d+\.\d+([abc]\d*)?$/  # PEP-440 compliant version (tags)
  except:
    - dev


deploy_anaconda:
  stage: deploy
  dependencies:
    - test_py_tools_ds
    #- deploy_pypi
  script:
    - source /root/anaconda3/bin/activate
    - conda install -y -q conda-build
    - yum install -y patch # https://stackoverflow.com/questions/40392161/building-conda-skeleton-from-pypi-package-throws-error
    - conda skeleton pypi py_tools_ds --output-dir public/conda.recipe/py_tools_ds # create recipe
    - conda config --set anaconda_upload yes  # enable auto-upload to anaconda
    #- anaconda logout
    #- anaconda login --username ${ANACONDA_USER} --password ${ANACONDA_PASSWORD}
    - conda build -c conda-forge --token ${ANACONDA_TOKEN} public/conda.recipe/py_tools_ds  # --output returns package name
    # - conda build -c conda-forge --token ${ANACONDA_TOKEN} --python 3.6 --python 3.5 --python 3.4 --python 2.7 public/conda.recipe/py_tools_ds  # --output returns package name
    #- conda convert --platform all /home/jsmith/miniconda/conda-bld/linux-64/pyinstrument-0.13.1-py27_0.tar.bz2
    #-o outputdir/
    - anaconda logout
  only:
    - feature/conda_deployment
    #- /^v\d+\.\d+\.\d+([abc]\d*)?$/  # PEP-440 compliant version (tags)
  except:
    - dev


cleanup_pypirc:
   stage: cleanup
   when: always   # this is important; run even if preceding stages failed.
   script:
    - rm -vf ~/.pypirc  # we don't want to leave these around, but GitLab may clean up anyway.