.gitlab-ci.yml 4.05 KB
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before_script:
  - git lfs pull
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  - mkdir -p public/images/
  - cp -r docs/images/* public/images/
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# Advise GitLab that these environment vars should be loaded from the Variables config.
variables:
    PYPI_USER: SECURE
    PYPI_PASSWORD: SECURE


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stages:
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  - test
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  - deploy
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  - cleanup


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test_arosics:
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  stage: test
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  script:
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    - source /root/miniconda3/bin/activate
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    - source activate ci_env
    - export GDAL_DATA=/root/miniconda3/envs/ci_env/share/gdal
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    - export PYTHONPATH=$PYTHONPATH:/root  # /root <- directory needed later
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    - pip install "py_tools_ds>=0.14.12"  # FIXME remove as soon as docker runner has been updated
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    - make nosetests
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    # create the docs
    - pip install sphinx_rtd_theme  # Read-the-docs theme for SPHINX documentation
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    - make docs
  artifacts:
    paths:
    - htmlcov/
    - docs/_build/html/
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    - nosetests.html
    - nosetests.xml
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    when: always
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test_styles:
  stage: test
  script:
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    - source /root/miniconda3/bin/activate
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    - source activate ci_env
    - export GDAL_DATA=/root/miniconda3/envs/ci_env/share/gdal
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    - export PYTHONPATH=$PYTHONPATH:/root  # /root <- directory needed later
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#    - pip install "pycodestyle>=2.0.0,!=2.4.0"  # TODO remove as soon as docker runner is recreated
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    - make lint
  artifacts:
    paths:
    - tests/linting/flake8.log
    - tests/linting/pycodestyle.log
    - tests/linting/pydocstyle.log
    when: always


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test_arosics_install:
  stage: test
  script:
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    - source /root/miniconda3/bin/activate
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    - conda create -y -q --name arosics_testinstall python=3
    - source activate arosics_testinstall
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     # resolve some requirements with conda
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    - conda install --yes -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely geopandas
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    - conda install --yes -q -c conda-forge libgdal ncurses # Fix for libgdal installed from defaults channel causing libkea.so.1.4.7: cannot open shared object file: No such file or directory
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    # run installer
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    - python setup.py install
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    # test if its importable
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    - cd ..
    - pwd
    - ls
    - python -c "import arosics; print(arosics)"
    - python -c "from arosics import COREG, COREG_LOCAL"
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  only:
    - master
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pages:  # this job must be called 'pages' to advise GitLab to upload content to GitLab Pages
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  stage: deploy
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  dependencies:
    - test_arosics
  script:
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    # Create the public directory
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    - rm -rf public
    - mkdir public
    - mkdir -p public/doc
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    - mkdir -p public/images/
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    - mkdir -p public/coverage
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    - mkdir -p public/nosetests_reports
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    # Copy over the docs
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    - cp -r docs/_build/html/* public/doc/
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    - cp -r docs/images/* public/images/
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    # 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
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    - ls -al public/coverage
    - ls -al public/nosetests_reports
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  artifacts:
    paths:
      - public
    expire_in: 30 days
  only:
    - master
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    - enhancement/improve_docs
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deploy_pypi:
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  stage: deploy
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  dependencies:
    - test_arosics
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  script:   # Configure the PyPI credentials, then push the package, and cleanup the creds.
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    - source /root/miniconda3/bin/activate
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    - source activate ci_env
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    - mkdir -p public/images/
    - cp -r docs/images/* public/images/
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    - 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= ${PYPI_PASSWORD}\n" >> ~/.pypirc
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    - python setup.py check sdist upload -r pypi  # This will fail if your creds are bad.
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    - echo "" > ~/.pypirc && rm ~/.pypirc  # If the above fails, this won't run.
  only:
    - /^v\d+\.\d+\.\d+([abc]\d*)?$/  # PEP-440 compliant version (tags)
  except:
    - dev


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.