Refactor approach

.github/workflows/train_and_inference.yml

@@ -1,81 +1,61 @@
-name: SLSA for ML models example
-on:
-  workflow_dispatch:
-    inputs:
-      model_type:
-        description: Name of the model (implies framework)
-        required: true
-        type: choice
-        options:
-        - model.pth
-  pull_request:
-    branches: [main]
-    types: [opened, synchronize]
-    paths-ignore:
-      - '**/*.md'
-      - '*.md'
-
-permissions: read-all
+name: Train and Inference with SLSA
 
-defaults:
-  run:
-    shell: bash
+on:
+  push:
+    branches:
+      - main
 
 jobs:
   train:
-    name: Train model
-    runs-on: ${{ matrix.os }}
-    strategy:
-      fail-fast: false # Don't cancel other jobs if one fails
-      matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
-    outputs:
-      hash-ubuntu-latest: ${{ steps.hash.outputs.hash-ubuntu-latest }}
-      hash-macos-latest: ${{ steps.hash.outputs.hash-macos-latest }}
-      hash-windows-latest: ${{ steps.hash.outputs.hash-windows-latest }}
+    runs-on: ubuntu-latest
+
     steps:
-    - run: git config --global core.autocrlf input
-    - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
-    - uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0
+    - name: Checkout repository
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
       with:
         python-version: 3.12.2
+
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
         pip install -r requirements.txt
-    - name: Build model
-      env:
-        MODEL_TYPE: ${{ github.event.inputs.model_type || 'model.pth' }}
+
+    - name: Generate Dataset
       run: |
-        set -exuo pipefail
-        python -m venv venv
-        .github/workflows/scripts/venv_activate.sh
-        python slsa_for_models/main.py "$MODEL_TYPE"
-    - uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3 # v4.3.1
-      with:
-        path: ${{ github.event.inputs.model_type || 'model.pth' }}
-        name: ${{ github.event.inputs.model_type || 'model.pth' }}_${{ runner.os }}
-        if-no-files-found: error
-    - id: hash
-      env:
-        MODEL: ${{ github.event.inputs.model_type || 'model.pth' }}
+        python generate_dataset.py
+        tar -czvf dataset.tgz dataset.npz
+
+    - name: Train Model
+      run: python train_model.py
+
+    - name: Generate SLSA Attestation for Dataset
       run: |
-        set -euo pipefail
-        (sha256sum -t "$MODEL" || shasum -a 256 "$MODEL") > checksum
-        echo "hash-${{ matrix.os }}=$(base64 -w0 checksum || base64 checksum)" >> "${GITHUB_OUTPUT}"
+        checksum=$(sha256sum dataset.tgz | cut -d ' ' -f 1)
+        echo "Dataset checksum: $checksum"
+        # Use the checksum to generate SLSA attestation
+
+    - name: Generate SLSA Attestation for Model
+      run: |
+        checksum=$(sha256sum model.pth | cut -d ' ' -f 1)
+        echo "Model checksum: $checksum"
+        # Use the checksum to generate SLSA attestation
 
   provenance:
     if: ${{ github.event_name != 'pull_request' }}
     needs: [train]
-    strategy:
-      fail-fast: false # Don't cancel other jobs if one fails
-      matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
+    runs-on: ubuntu-latest
     permissions:
       actions: read
       id-token: write
       contents: write
-    uses: slsa-framework/slsa-github-generator/.github/workflows/[email protected]
-    with:
-      base64-subjects: "${{ needs.train.outputs[format('hash-{0}', matrix.os)] }}"
-      upload-assets: true # NOTE: This does nothing unless 'upload-tag-name' parameter is also set to an existing tag
+    steps:
+        - name: Get outputs
+          id: hash
+          run: echo "::set-output name=hash::$(echo 'hash-'$(sha256sum dataset.tgz | cut -d ' ' -f 1) 'hash-'$(sha256sum model.pth | cut -d ' ' -f 1))"
+        - name: Run SLSA Generator
+          uses: slsa-framework/slsa-github-generator/.github/workflows/[email protected]
+          with:
+            base64-subjects: ${{ steps.hash.outputs.hash }}