.gitlab-ci.yml 4.27 KB
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before_script:
  - git lfs pull

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# Advise GitLab that these environment vars should be loaded from the Variables config.
variables:
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    ANACONDA_USER: SECURE
    ANACONDA_PASSWORD: SECURE
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    ANACONDA_TOKEN: SECURE
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stages:
  - test
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  - deploy_pages
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  - deploy_pypi
  - deploy_conda
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  - cleanup


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test_py_tools_ds:
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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=$PYTHONPATH:/root  # /root <- directory needed later
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    - conda install -c conda-forge 'pyproj>=2.1'  # FIXME remove as soon as docker container is rebuilt
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    - make nosetests
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    - make docs
  artifacts:
    paths:
    - htmlcov/
    - docs/_build/html/
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    - nosetests.html
    - nosetests.xml
    when: always
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test_styles:
  stage: test
  script:
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    - source /root/miniconda3/bin/activate
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    - source activate ci_env
    - export GDAL_DATA=/root/miniconda3/envs/ci_env/share/gdal
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    - export PYTHONPATH=$PYTHONPATH:/root  # /root <- directory needed later
    - make lint
  artifacts:
    paths:
    - tests/linting/flake8.log
    - tests/linting/pycodestyle.log
    - tests/linting/pydocstyle.log
    when: always


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test_py_tools_ds_install:
  stage: test
  script:
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    - source /root/miniconda3/bin/activate
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    - conda create -y -q -c conda-forge --name py_tools_ds_testinstall python=3
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    - source activate py_tools_ds_testinstall
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    # update conda and python
    - conda update -n base -c defaults conda
#    - conda update -c conda-forge python

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    # avoid package incompatibilities due to usage of wrong channels
#    - conda config --set channel_priority strict  # otherwise gdal or libgdal may be installed from defaults channel
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    # resolve some requirements with conda
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    - conda install --yes -q -c conda-forge numpy gdal 'pyproj>=2.1.0' shapely geopandas
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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 py_tools_ds; print(py_tools_ds)"
    - python -c "from py_tools_ds.geo.vector.geometry import boxObj"
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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_pages
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  dependencies:
    - test_py_tools_ds
  script:
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      # Create the public directory
    - rm -rf public
    - mkdir public
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    - mkdir -p public/doc
    - 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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    # 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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deploy_pypi:
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  stage: deploy_pypi
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  dependencies:
    - test_py_tools_ds
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  script:
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    - source /root/miniconda3/bin/activate
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    - source activate ci_env
    - pip install -U twine
    - python setup.py sdist
    - twine upload dist/*  # requires creds as environment variables
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  only:
    - /^v\d+\.\d+\.\d+([abc]\d*)?$/  # PEP-440 compliant version (tags)
  except:
    - dev


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deploy_anaconda:
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  stage: deploy_conda
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  dependencies:
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    - test_py_tools_ds
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  script:
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    - source /root/miniconda3/bin/activate
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    - source activate ci_env
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    - conda install -y -q conda-build conda-build-all anaconda-client
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    - yum install -y patch # https://stackoverflow.com/questions/40392161/building-conda-skeleton-from-pypi-package-throws-error
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    # - conda skeleton pypi py_tools_ds --output-dir public/conda.recipe/py_tools_ds # create recipe
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    - conda config --set anaconda_upload yes  # enable auto-upload to anaconda
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    # - anaconda login --username ${ANACONDA_USER} --password ${ANACONDA_PASSWORD}
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    - conda build -c conda-forge -c defaults --token ${ANACONDA_TOKEN} conda_recipe/meta.yaml  # --output returns package name
    # - conda convert --platform all /home/jsmith/miniconda/conda-bld/linux-64/pyinstrument-0.13.1-py27_0.tar.bz2
    # -o outputdir/
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    - anaconda logout
  only:
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    # - feature/conda_deployment
    - /^v\d+\.\d+\.\d+([abc]\d*)?$/  # PEP-440 compliant version (tags)
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  except:
    - dev