github-actions.yml

name: GitHub DACKAR test
run-name: ${{ github.actor }} is testing out DACKAR
on: [push, pull_request]

concurrency:
  # Here the group is defined by the head_ref of the PR
  group: ${{ github.head_ref }}
  # Here we specify that we'll cancel any "in progress" workflow of the same group. Thus if we push, ammend a commit and push
  # again the previous workflow will be cancelled, thus saving us github action build minutes and avoid any conflicts
  cancel-in-progress: true

jobs:
  Test-DACKAR-Linux:
    # runs-on: [self-hosted, ubuntu-latest]
    # runs-on: ${{ fromJSON('["ubuntu-latest", "self-hosted"]')[github.repository == 'github/docs-internal'] }}
    runs-on: ubuntu-latest
    steps:
      - uses: conda-incubator/setup-miniconda@v3
        with:
          miniconda-version: "latest"
          channels: conda-forge, defaults
          use-only-tar-bz2: true  # IMPORTANT: This needs to be set for caching to work properly!
          auto-update-conda: true
          auto-activate-base: true
      - run: echo " The job was automatically triggered by a ${{ github.event_name }} event."
      - run: echo " This job is now running on a ${{ runner.os }} server"
      - run: echo " The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
      - name: Check out repository code
        uses: actions/checkout@v3
      - run: pwd
      - run: |
          conda create -n dackar_libs python=3.11
          conda init bash && source ~/.bashrc && conda activate dackar_libs
          pip install spacy==3.5 textacy matplotlib nltk coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas
          python3 -m spacy download en_core_web_lg
          python3 -m coreferee install en
          python3 -m nltk.downloader all


  Test-DACKAR-Macos:
    runs-on: macos-latest
    steps:
      - uses: conda-incubator/setup-miniconda@v3
        with:
          miniconda-version: "latest"
          channels: conda-forge, defaults
          use-only-tar-bz2: true  # IMPORTANT: This needs to be set for caching to work properly!
          auto-update-conda: true
          auto-activate-base: true
      - run: echo " The job was automatically triggered by a ${{ github.event_name }} event."
      - run: echo " This job is now running on a ${{ runner.os }} server"
      - run: echo " The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
      - name: Check out repository code
        uses: actions/checkout@v3
      - run: pwd
      - run: |
          conda create -n dackar_libs python=3.11
          conda init zsh && source ~/.zshrc && conda activate dackar_libs
          pip install spacy==3.5 textacy matplotlib nltk coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas
          python3 -m spacy download en_core_web_lg
          python3 -m coreferee install en
          python3 -m nltk.downloader all


  Test-DACKAR-Windows:
    runs-on: windows-latest
    steps:
      - uses: conda-incubator/setup-miniconda@v3
        with:
          miniconda-version: "latest"
          channels: conda-forge, defaults
          use-only-tar-bz2: true  # IMPORTANT: This needs to be set for caching to work properly!
          activate-environment: dackar_libs
          auto-update-conda: true
          auto-activate-base: false
      - run: echo " The job was automatically triggered by a ${{ github.event_name }} event."
      - run: echo " This job is now running on a ${{ runner.os }} server"
      - run: echo " The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
      - name: Check out repository code
        uses: actions/checkout@v3
      - run: pwd
      - run: |
          echo " Create dackar_libs"
          conda install python=3.11
          echo " Conda information"
          conda info
          echo " Activate Dackar conda environment"
          pip install spacy==3.5 textacy matplotlib nltk coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas
          conda list
          which python
          python -m spacy download en_core_web_lg
          python -m coreferee install en
          python -m nltk.downloader all