autobidsify/.github/workflows/execval_build.yml at main · NeuroJSON/autobidsify · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
name: Build ExecVal (3 platforms)

# Part 1: manual trigger only. Produces downloadable artifacts for testing.
# Releases are added later (Part 2, cross-repo sync).
on:
  workflow_dispatch:

jobs:
  build:
    name: Build on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false   # let other platforms finish even if one fails
      matrix:
        include:
          - os: windows-latest
            artifact: AutoBIDSify-Windows
            archive: zip
            pyver: "3.14"
          - os: macos-latest          # Apple Silicon (arm64)
            artifact: AutoBIDSify-macOS-arm64
            archive: zip
            pyver: "3.14"
          - os: ubuntu-22.04
            artifact: AutoBIDSify-Linux
            archive: tar
            # 3.12 links against an older GLIBC than 3.14, so the Linux build
            # runs on Ubuntu 22.04 (GLIBC 2.35) and older systems.
            pyver: "3.12"

    defaults:
      run:
        working-directory: app/execval

    steps:
      - name: Checkout repository
        uses: actions/checkout@v4

      - name: Set up Python ${{ matrix.pyver }}
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.pyver }}

      # Tkinter needs the system Tk libraries to be present so PyInstaller can
      # bundle them. The GitHub Ubuntu runner does not always include them.
      - name: Install Tk libraries (Linux)
        if: runner.os == 'Linux'
        run: |
          sudo apt-get update
          sudo apt-get install -y python3-tk tk

      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          # Install the autobidsify library from the repo root (same repo now).
          # ExecVal imports it directly; no vendored copy, no PyPI download.
          pip install -e "$GITHUB_WORKSPACE"
          pip install -r requirements.txt
          pip install pytest pyinstaller

      - name: Run unit tests
        run: python -m pytest

      - name: Build with PyInstaller
        run: pyinstaller build.spec

      # --- package the onedir output per platform ---
      - name: Archive (zip, Windows/macOS)
        if: matrix.archive == 'zip'
        shell: bash
        run: |
          cd dist
          if [ "$RUNNER_OS" = "Windows" ]; then
            powershell -Command "Compress-Archive -Path AutoBIDSify -DestinationPath ${{ matrix.artifact }}.zip"
          else
            zip -r ${{ matrix.artifact }}.zip AutoBIDSify
          fi

      - name: Archive (tar.gz, Linux)
        if: matrix.archive == 'tar'
        run: |
          cd dist
          tar -czf ${{ matrix.artifact }}.tar.gz AutoBIDSify

      - name: Upload artifact
        uses: actions/upload-artifact@v4
        with:
          name: ${{ matrix.artifact }}
          path: |
            app/execval/dist/${{ matrix.artifact }}.zip
            app/execval/dist/${{ matrix.artifact }}.tar.gz
          if-no-files-found: ignore
          retention-days: 14