ci: custom docker build

.github/workflows/concrete_ml_test.yml

@@ -50,6 +50,7 @@ jobs:
         uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
         with:
           submodules: recursive
+
       - name: Set release version
         run: echo "__version__ = \"$(date +"%Y.%m.%d")\"" >| frontends/concrete-python/version.txt
       - name: Expose release version from Python
@@ -73,49 +74,68 @@ jobs:
           run: |
             set -e
             rm -rf /build/*
-            
+
             export PYTHON=${{ format('python{0}', matrix.python-version) }}
             echo "Using $PYTHON"
 
             cd /concrete/frontends/concrete-python
             make PYTHON=$PYTHON venv
             source .venv/bin/activate
-            
+
             cd /concrete/compilers/concrete-compiler/compiler
             make BUILD_DIR=/build CCACHE=ON DATAFLOW_EXECUTION_ENABLED=ON Python3_EXECUTABLE=$(which python) python-bindings
-            
+
             echo "Debug: ccache statistics (after the build):"
             ccache -s
 
             cd /concrete/frontends/concrete-python
 
             export COMPILER_BUILD_DIRECTORY="/build"
             make whl
-            
+
             deactivate
 
       - name: ML Tests
         run: |
+          # Install git-lfs
+          sudo apt-get update && sudo apt-get install -y git-lfs
+          
           # Set wheel path and extract filename
           WHEEL_PATH="frontends/concrete-python/dist"
           WHEEL_FILENAME=$(ls ${WHEEL_PATH}/*manylinux*.whl | xargs basename)
-
-          # Checkout the concrete-ml repository on branch main
+          
+          # Clone the concrete-ml repository and pull LFS files
           git clone --branch main https://github.com/zama-ai/concrete-ml.git
+          cd concrete-ml
+          git lfs pull
+          cd ..
+
+          # Copy the generated wheel to the concrete-ml directory
+          mkdir -p concrete-ml/wheels
+          cp ${WHEEL_PATH}/${WHEEL_FILENAME} concrete-ml/wheels/
+
+          # Copy the test script
+          cp ci/scripts/test_cml.sh concrete-ml/
 
           # Make test script executable
-          chmod +x ci/scripts/test_cml.sh
+          chmod +x concrete-ml/test_cml.sh
+
+          # Set permissions for the concrete-ml directory
+          chmod -R 777 concrete-ml/
 
           # Build the docker image with specific tag
           cd concrete-ml
-          make docker_build DEV_DOCKER_PYTHON=py38
+          DOCKER_BUILDKIT=1 docker build \
+            --pull \
+            -t concrete-ml-dev:py38 \
+            -f docker/Dockerfile.dev .
 
           # Run the tests
           docker run --rm \
             -v "$(pwd):/src/" \
             -w /src/concrete-ml \
             concrete-ml-dev:py38 \
-            /bin/bash -l -i -c "./ci/scripts/test_cml.sh --use-wheel \"/src/${WHEEL_PATH#$(pwd)/}/${WHEEL_FILENAME}\" --verbose"
+            /bin/bash -l -i -c "./test_cml.sh --use-wheel \"/src/wheels/${WHEEL_FILENAME}\" --verbose"
 
       - name: Slack Notification
         if: ${{ failure() && github.ref == 'refs/heads/main' }}
@@ -146,5 +166,4 @@ jobs:
         uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
         env:
           SLACK_COLOR: ${{ job.status }}
-          SLACK_MESSAGE: "Instance teardown finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
-
+          SLACK_MESSAGE: "Instance teardown finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"