ci.yml

name: CI

on:
  push:
    branches: [main]
  pull_request:

jobs:
  build:
    name: GHC ${{ matrix.ghc }}
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        ghc: ["9.6.7", "9.8.4", "9.10.3", "9.12.2"]

    steps:
      - uses: actions/checkout@v4

      - uses: haskell-actions/setup@v2
        id: setup
        with:
          ghc-version: ${{ matrix.ghc }}
          cabal-version: latest

      # dataframe-fusion's DataFusion crate links against bzip2, xz and zlib;
      # the default ubuntu-latest image doesn't ship the -dev packages.
      - name: Install system C libraries for dataframe-fusion
        run: |
          sudo apt-get update
          sudo apt-get install -y --no-install-recommends \
            libbz2-dev liblzma-dev zlib1g-dev

      - name: Set LIBTORCH_HOME
        run: echo "LIBTORCH_HOME=$HOME/.cache/libtorch" >> $GITHUB_ENV

      # The repo's cabal.project already lists every satellite
      # (dataframe-core, dataframe-parsing, dataframe-operations,
      # dataframe-csv, dataframe-json, dataframe-parquet, dataframe-th,
      # dataframe-csv-th, dataframe-parquet-th, dataframe-viz,
      # dataframe-learn, dataframe-lazy) plus the meta package, examples,
      # and the pre-existing satellites. No regeneration needed.

      - name: Freeze
        run: cabal freeze

      - name: Cache
        uses: actions/cache@v4
        with:
          path: |
            ${{ steps.setup.outputs.cabal-store }}
            ${{ env.LIBTORCH_HOME }}
          key: ${{ runner.os }}-ghc-${{ matrix.ghc }}-${{ hashFiles('cabal.project.freeze') }}
          restore-keys: ${{ runner.os }}-ghc-${{ matrix.ghc }}-

      - name: Build all packages
        run: |
          ./examples/setup_torch.sh
          cabal build all

      - name: Test all packages
        run: cabal test all