.gitlab-ci.yml

stages:
  - stylecheck
  - test
  - deploy

.conda_env: &conda_env
    before_script:
        # update conda
        - conda config --set always_yes yes
        - conda update -q conda

        # create and activate environment
        - conda create -q -n testenv_${CI_JOB_ID}_py${PYTHON_VERSION_TO_USE//./} python=${PYTHON_VERSION_TO_USE} pip
        - source activate testenv_${CI_JOB_ID}_py${PYTHON_VERSION_TO_USE//./}

    after_script:
        # remove environment
        - conda env remove --name testenv_${CI_JOB_ID}_py${PYTHON_VERSION_TO_USE//./}

.test_template: &test_template
    <<: *conda_env
    stage: test
    rules:
        - if: $CI_MERGE_REQUEST_TITLE =~ /^(Draft:|WIP:|\[Draft\]|\[WIP\])/
          when: manual
        - if: $CI_PIPELINE_SOURCE == "merge_request_event" && $CI_MERGE_REQUEST_TITLE !~ /^(Draft:|WIP:|\[Draft\]|\[WIP\])/
        - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
        - if: $CI_PIPELINE_SOURCE == "schedule"
    script:
        # install packages (use conda to avoid time-consuming installations)
        - conda install -q pytest pytest-cov
        - python -m pip install -q pytest-html
        - python -m pip install pytest-xdist    # multiple workers for pytest (-n 2 below)

        # install dependencies
        - |
          if [ "${PYTHON_VERSION_TO_USE}" == "3.6" ]; then
              conda install pytorch=1.10.1 torchvision=0.11.2 cpuonly -c pytorch
          elif [ "${PYTHON_VERSION_TO_USE}" == "3.8" ]; then
              # EMSANet
              conda install pytorch=1.13.0 torchvision=0.14.0 cpuonly -c pytorch
          else
              conda install pytorch=2.0.1 torchvision=0.15.2 cpuonly -c pytorch
          fi
        - python -m pip install 'opencv-python>=4.2.0.34'

        # install package (and all missing dependencies)
        - python -m pip  install -q --editable .[test]

        # check conda installation
        - conda info
        - conda list
        - python -m pip list

        # test package (opt: get coverage)
        - |
          if [ "${REPORT_COVERAGE}" == "true" ]; then
              py.test ./ -rx -s -vv -n 2 --maxfail=4 --ff --cov=${CI_PROJECT_NAME//-/_} --cov-report html --cov-report term --html=report_py${PYTHON_VERSION_TO_USE//./}.html --self-contained-html
          else
              py.test ./ -rx -s -vv -n 2 --maxfail=4 --ff --html=report_py${PYTHON_VERSION_TO_USE//./}.html --self-contained-html
          fi
    coverage: '/^TOTAL.*\s+(\d+\%)$/'
    artifacts:
        when: always
        paths:
            - report_py${PYTHON_VERSION_TO_USE//./}.html
            - htmlcov

style_check:
    <<: *conda_env
    stage: stylecheck
    rules:
        - if: '$CI_PIPELINE_SOURCE == "merge_request_event"'
        - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH'
        - if: '$CI_PIPELINE_SOURCE == "schedule"'
    variables:
        PYTHON_VERSION_TO_USE: "3.8"
    script:
        # install packages
        - conda install -q pycodestyle pylint

        # check style using pep8
        - find ./ -name "*.py" | xargs pycodestyle --show-source --show-pep8

        # check style using pylint (without taking into account)
        - pylint nicr_mt_scene_analysis --rcfile=${CI_PROJECT_DIR}/.pylintrc || true

# tests_py36:    # ubuntu18
#     <<: *test_template
#     variables:
#         PYTHON_VERSION_TO_USE: "3.6"
#         REPORT_COVERAGE: "false"

tests_py38:    # ubuntu20
    <<: *test_template
    variables:
        PYTHON_VERSION_TO_USE: "3.8"
        REPORT_COVERAGE: "true"

tests_py310:    # ubuntu22
    <<: *test_template
    variables:
        PYTHON_VERSION_TO_USE: "3.10"
        REPORT_COVERAGE: "false"

tests_py311:    # current
    <<: *test_template
    variables:
        PYTHON_VERSION_TO_USE: "3.11"
        REPORT_COVERAGE: "false"

update_pip_package:
    <<: *conda_env
    stage: deploy
    variables:
        PYTHON_VERSION_TO_USE: "3.11"
    rules:
        - if: '$CI_PIPELINE_SOURCE == "schedule"'
          when: never
        - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH'
          when: manual
    script:
        # install pytorch to pass pytorch check in setup.py
        - conda install pytorch=2.0.1 torchvision=0.15.2 cpuonly -c pytorch

        # install remaining dependencies
        - python -m pip install twine

        # build package
        - python setup.py sdist bdist_wheel

        # upload package
        - export TWINE_USERNAME=${TWINE_USERNAME}
        - export TWINE_PASSWORD=${TWINE_PASSWORD}
        - python -m twine upload --skip-existing --repository-url ${CI_API_V4_URL}/projects/${PACKAGE_REGISTRY}/packages/pypi dist/*