name: release

on:
  push:
    tags: ["v*"]
  workflow_dispatch:

permissions:
  contents: write

jobs:
  build:
    strategy:
      fail-fast: false
      matrix:
        include:
          - os: windows-latest
            platform: windows
            artifact: "*.zip"
          - os: ubuntu-latest
            platform: linux
            artifact: "*.tar.gz"
          - os: macos-latest
            platform: macos
            artifact: "*.tar.gz"

    runs-on: ${{ matrix.os }}
    steps:
      # build.py copies only what "git ls-files" reports, so it needs real
      # history rather than a tarball export.
      - uses: actions/checkout@v4

      - uses: actions/setup-node@v4
        with:
          node-version: "22"
          cache: npm
          cache-dependency-path: web/package-lock.json

      - uses: actions/setup-python@v5
        with:
          python-version: "3.11"

      # No pip install: build.py is stdlib-only, deliberately, so the release
      # path cannot be broken by a dependency it does not ship.
      - name: Build archive
        run: python packaging/build.py --platform ${{ matrix.platform }}

      - uses: actions/upload-artifact@v4
        with:
          name: LM-Gambit-${{ matrix.platform }}
          path: dist/${{ matrix.artifact }}
          if-no-files-found: error

  publish:
    # Tag pushes publish; manual runs stop at the artifacts above, so the
    # workflow stays usable for a dry run without creating a release.
    if: startsWith(github.ref, 'refs/tags/v')
    needs: build
    runs-on: ubuntu-latest
    steps:
      - uses: actions/download-artifact@v4
        with:
          path: artifacts
          merge-multiple: true

      - uses: softprops/action-gh-release@v2
        with:
          files: artifacts/*
          draft: true
          generate_release_notes: true
          body: |
            Download the archive for your platform, extract it, and run the
            launcher inside — `LM-Gambit.bat` on Windows, `./LM-Gambit.sh` on
            macOS and Linux.

            The first run creates a virtual environment and installs
            dependencies; that takes a few minutes and happens once. It needs
            **Python 3.10 or newer** on the machine. See `GPU-ACCELERATION.md`
            in the archive for CUDA, Metal and ROCm.