concrete/.github/workflows/concrete_python_benchmark.yml

name: concrete-python benchmark linux-cpu

on:
  workflow_dispatch:
  schedule:
    - cron: "0 1 * * SAT"
  pull_request:
    paths:
      - .github/workflows/concrete_pyhon_benchmark.yml
  push:
    branches:
      - 'main'
      - 'release/*'
env:
  DOCKER_IMAGE: ghcr.io/zama-ai/concrete-compiler

concurrency:
  group: concrete_python_benchmark_${{ github.ref }}
  cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}

jobs:
  setup-instance:
    runs-on: ubuntu-latest
    outputs:
      runner-name: ${{ steps.start-instance.outputs.label }}
    steps:
      - name: Start instance
        id: start-instance
        uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
        with:
          mode: start
          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
          slab-url: ${{ secrets.SLAB_BASE_URL }}
          job-secret: ${{ secrets.JOB_SECRET }}
          backend: aws
          profile: cpu-bench

  concrete-python-benchmarks:
    needs: setup-instance
    runs-on: ${{ needs.setup-instance.outputs.runner-name }}
    steps:
      - name: Checkout
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
        with:
          submodules: recursive
          fetch-depth: 0

      - name: Benchmark
        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
        id: build-compiler-bindings
        with:
          registry: ghcr.io
          image: ${{ env.DOCKER_IMAGE }}
          username: ${{ secrets.GHCR_LOGIN }}
          password: ${{ secrets.GHCR_PASSWORD }}
          options: >-
            -v ${{ github.workspace }}:/concrete
            -v ${{ github.workspace }}/build:/build
          shell: bash
          run: |
            set -e
            rm -rf /build/*

            export PYTHON=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

            cd /concrete/frontends/concrete-python

            export COMPILER_BUILD_DIRECTORY="/build"
            # TODO output setup-instance (https://github.com/zama-ai/slab-github-runner/issues/38)
            export PROGRESS_MACHINE_NAME="hpc7a.96xlarge"

            make benchmark
            make process-benchmark-results-for-grafana

            deactivate

      - name: Checkout Slab repo
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
        with:
          repository: zama-ai/slab
          path: slab
          token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}

      - name: Send data to Slab
        shell: bash
        run: |
          echo "Computing HMac on results file"
          SIGNATURE="$(slab/scripts/hmac_calculator.sh frontends/concrete-python/progress.processed.json '${{ secrets.JOB_SECRET }}')"

          cd frontends/concrete-python

          echo "Sending results to Slab..."
          curl -v -k \
            -H "Content-Type: application/json" \
            -H "X-Slab-Repository: ${{ github.repository }}" \
            -H "X-Slab-Command: store_data_v2" \
            -H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
            -d @progress.processed.json \
            ${{ secrets.SLAB_URL }}
      - name: Slack Notification
        if: ${{ failure() && github.ref == 'refs/heads/main' }}
        continue-on-error: true
        uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
        env:
          SLACK_COLOR: ${{ job.status }}
          SLACK_MESSAGE: "concrete-python-benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

  teardown-instance:
    if: ${{ always() && needs.setup-instance.result != 'skipped' }}
    needs: [ setup-instance, concrete-python-benchmarks ]
    runs-on: ubuntu-latest
    steps:
      - name: Stop instance
        id: stop-instance
        uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
        with:
          mode: stop
          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
          slab-url: ${{ secrets.SLAB_BASE_URL }}
          job-secret: ${{ secrets.JOB_SECRET }}
          label: ${{ needs.setup-instance.outputs.runner-name }}
      - name: Slack Notification
        if: ${{ failure() }}
        continue-on-error: true
        uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
        env:
          SLACK_COLOR: ${{ job.status }}
          SLACK_MESSAGE: "Instance teardown finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"