prune_nightly.yaml

# This workflow prunes the conda and pip nightly repo
# to remove old nightly builds (to keep the storage cost minimal).
# We also synchronize the wheel release page in the main website
# to list all the latest wheel uploded.
name: Prune-Nightly

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main
  schedule:
    - cron: '0 8 * * *' # 8 AM UTC

jobs:
  Build:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2
    - uses: actions/cache@v1
      env:
        CACHE_NUMBER: 0
      with:
        path: ~/conda_pkgs_dir
        key: ${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-${{ hashFiles('conda/build-environment.yaml') }}
    - uses: conda-incubator/setup-miniconda@v2
      with:
        activate-environment: tlcpack-build
        channel-priority: strict
        environment-file: conda/build-environment.yaml
        auto-activate-base: false
        use-only-tar-bz2: true
    - name: Conda info
      run: |
        conda info
        conda list
    - name: Wheel-Site-Checkout
      if: github.ref == 'refs/heads/main'
      env:
        GITHUB_TOKEN: ${{ secrets.TLCPACK_GITHUB_TOKEN }}
      run: |
        git clone https://$GITHUB_TOKEN@github.com/tlc-pack/tlc-pack.github.io
        cd tlc-pack.github.io
        git config user.name tlcpack-archiver
        git config user.email 73483364+tlcpack-archiver@users.noreply.github.com
        cd ..
    - name: Wheel-Prune-Sync
      if: github.ref == 'refs/heads/main'
      shell: bash -l {0}
      env:
        GITHUB_TOKEN: ${{ secrets.TLCPACK_GITHUB_TOKEN }}
      run: >-
        python -m pip install github3.py requests &&
        python wheel/wheel_prune_and_sync.py
    - name: Conda-Prune
      if: github.ref == 'refs/heads/main'
      shell: bash -l {0}
      env:
        ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_TOKEN }}
      run: >-
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly &&
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly-libs &&
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly-cu100 &&
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly-cu100-libs &&
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly-cu101 &&
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly-cu101-libs &&
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly-cu102 &&
        python conda/anaconda_prune.py tlcpack/tlcpack-nightly-cu102-libs