nbplot-package.yml

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

name: nbplot package

on:
  push:
    branches: [ master, dev ]
  pull_request:
    branches: [ master ]

jobs:
  build-and-test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: [3.8, 3.12]
    steps:
    - uses: actions/checkout@v2
    - name: Set up Python ${{ matrix.python-version }}
      uses: actions/setup-python@v2
      with:
        python-version: ${{ matrix.python-version }}
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        python -m pip install flake8
        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
    - name: Lint with flake8
      run: |
        # stop the build if there are Python syntax errors or undefined names
        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
    - name: Test delimiters with unittest
      run: |
        python nbplot/delim.py
    - name: Build and install the package
      run: |
        python -m pip install --upgrade build wheel
        python -m build
        python -m pip install dist/*.whl
    - name: Generate and run notebooks
      run: |
        python -m pip install pandas
        
        echo "1\n2\n3\n" | nbplot -g -o trivial.ipynb -
        jupyter nbconvert --to notebook --inplace --execute trivial.ipynb

        nbplot -g -o multiple.ipynb tests/*.csv
        jupyter nbconvert --to notebook --inplace --execute multiple.ipynb
    - name: Try without pandas
      run: |
        python -m pip uninstall --yes pandas

        nbplot -g -t numpy -o multiple_numpy.ipynb tests/*.csv
        jupyter nbconvert --to notebook --inplace --execute multiple_numpy.ipynb

    - name: Auto-detection that pandas is not installed
      run: |
        nbplot -g -o multiple_numpy.ipynb tests/*.csv
        jupyter nbconvert --to notebook --inplace --execute multiple_numpy.ipynb

    - name: Plot images
      run: |
        nbplot -t imshow -g -o imshow.ipynb tests/Ishihara_9_from_wikipedia.png
        jupyter nbconvert --to notebook --inplace --execute imshow.ipynb

    - name: Daltonize
      run: |
        nbplot -t daltonize -g -o daltonize.ipynb tests/Ishihara_9_from_wikipedia.png
        jupyter nbconvert --to notebook --inplace --execute daltonize.ipynb

    - name: Empty
      run: |
        nbplot -t empty -g -o empty.ipynb
        jupyter nbconvert --to notebook --inplace --execute empty.ipynb