k8s-ci.yml

name: GraphScope CI on Kubernetes

on:
  # Trigger the workflow on push or pull request,
  # but only for the main branch
  workflow_dispatch:
  push:
    branches:
      - main
    paths-ignore:
      - 'CONTRIBUTORS'
      - 'LICENSE'
      - 'NOTICE.txt'
      - '**.md'
      - '**.rst'
      - 'docs/**'
      - 'demo/**'
      - 'scripts/**'
      - 'tutorials/**'
  pull_request:
    branches:
      - main
    paths:
      - '.github/workflows/k8s-ci.yml'
      - 'Makefile'
      - 'analytical_engine/**'
      - 'charts/**'
      - 'coordinator/**'
      - 'interactive_engine/**'
      - 'k8s/**'
      - 'learning_engine/**'
      - 'proto/**'
      - 'python/**'
      - '!**.md'
      - '!**.rst'

concurrency:
  group: ${{ github.repository }}-${{ github.event.number || github.head_ref || github.sha }}-${{ github.workflow }}
  cancel-in-progress: true

env:
  GS_IMAGE: registry.cn-hongkong.aliyuncs.com/graphscope/graphscope

jobs:
  # JOB to run change detection
  changes:
    runs-on: ubuntu-20.04
    # Set job outputs to values from filter step
    outputs:
      gae-python: ${{ steps.filter.outputs.gae-python }}
      networkx: ${{ steps.filter.outputs.networkx }}
      gie-function-test: ${{ steps.filter.outputs.gie-function-test }}
    steps:
    # For push it's necessary to checkout the code
    - uses: actions/checkout@v4

    - name: Detect the tmate session
      run: |
        if grep -v "grep" .github/workflows/k8s-ci.yml | grep "action-tmate"; then
          echo 'WARNING!!!the self-hosted machine cannot run tmate session, please debug it manually'
          exit 1
        fi

    # For pull requests it's not necessary to checkout the code
    - uses: dorny/paths-filter@v2
      id: filter
      with:
        base: main  # Change detection against merge-base with main before push
        filters: |
          gae-python:
            - 'proto/**'
            - 'analytical_engine/**'
            - 'python/graphscope/analytical/**'
            - 'python/graphscope/client/**'
            - 'python/graphscope/dataset/**'
            - 'python/graphscope/deploy/**'
            - 'python/graphscope/framework/**'
            - 'python/graphscope/tests/unittest/**'
            - 'coordinator/gscoordinator/**'
            - '.github/workflows/ci.yml'
          networkx:
            - 'analytical_engine/apps/**'
            - 'analytical_engine/frame/**'
            - 'analytical_engine/core/**'
            - 'python/graphscope/nx/**'
          gie-function-test:
            - 'interactive_engine/**'
            - 'python/graphscope/interactive/**'
            - '.github/workflows/ci.yml'
          gie-k8s-failover-test:
            - 'interactive_engine/**'
            - 'charts/gie-standalone/**'

    - name: Cpp Format and Lint Check
      run: |
        # install clang-format
        sudo curl -L https://github.com/muttleyxd/clang-tools-static-binaries/releases/download/master-22538c65/clang-format-8_linux-amd64 --output /usr/bin/clang-format
        sudo chmod +x /usr/bin/clang-format

        # collect the source files
        cd analytical_engine/
        files=$(find ./apps ./benchmarks ./core ./frame ./misc ./test \( -name "*.h" -o -name "*.cc" \))

        # run format
        clang-format -i --style=file $(echo $files)

        # validate format
        function prepend() { while read line; do echo "${1}${line}"; done; }

        GIT_DIFF=$(git diff --ignore-submodules)
        if [[ -n $GIT_DIFF ]]; then
            echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
            echo "| clang-format failures found!"
            echo "|"
            echo "$GIT_DIFF" | prepend "| "
            echo "|"
            echo "| Run: "
            echo "|"
            echo "|    make gsa_clformat"
            echo "|"
            echo "| to fix this error."
            echo "|"
            echo "| Ensure you are working with clang-format-8, which can be obtained from"
            echo "|"
            echo "|    https://github.com/muttleyxd/clang-tools-static-binaries/releases"
            echo "|"
            echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
            exit -1
        fi

        # validate cpplint
        function ec() { [[ "$1" == "-h" ]] && { shift && eval $* > /dev/null 2>&1; ec=$?; echo $ec; } || eval $*; ec=$?; }

        # run cpplint
        ec ./misc/cpplint.py $(echo $files)
        if [[ "$ec" != "0" ]]; then
            echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
            echo "| cpplint failures found! Run: "
            echo "|"
            echo "|    make gsa_cpplint"
            echo "|"
            echo "| to fix this error."
            echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
            exit -1
        fi

    - name: Python Format and Lint Check
      run: |
        echo "Checking formatting for $GITHUB_REPOSITORY"
        pip3 install -r coordinator/requirements-dev.txt
        pushd python
        python3 -m isort --check --diff .
        python3 -m black --check --diff .
        python3 -m flake8 .
        popd
        pushd coordinator
        python3 -m isort --check --diff .
        python3 -m black --check --diff .
        python3 -m flake8 .

    - name: Setup Java11
      uses: actions/setup-java@v3
      with:
         distribution: 'zulu'
         java-version: '11'

    - name: Java Format and Lint Check
      run: |
        wget https://github.com/google/google-java-format/releases/download/v1.13.0/google-java-format-1.13.0-all-deps.jar

        files_to_format=$(git ls-files *.java)

        # run formatter in-place
        java -jar ${GITHUB_WORKSPACE}/google-java-format-1.13.0-all-deps.jar --aosp --skip-javadoc-formatting -i $files_to_format

        # validate format
        function prepend() { while read line; do echo "${1}${line}"; done; }

        GIT_DIFF=$(git diff --ignore-submodules)
        if [[ -n $GIT_DIFF ]]; then
            echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
            echo "| google-java-format failures found!"
            echo "|"
            echo "$GIT_DIFF" | prepend "| "
            echo "|"
            echo "| Run: "
            echo "|"
            echo '|    java -jar google-java-format-1.13.0-all-deps.jar --aosp --skip-javadoc-formatting -i $(git ls-files **/*.java)'
            echo "|"
            echo "| to fix this error."
            echo "|"
            echo "| Ensure you are working with google-java-format-1.13.0, which can be obtained from"
            echo "|"
            echo "|    https://github.com/google/google-java-format/releases/download/v1.13.0/google-java-format-1.13.0-all-deps.jar"
            echo "|"
            echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
            exit -1
        fi

  build-analytical:
    runs-on: [self-hosted, manylinux2014]
    needs: [changes]
    if: ${{ github.repository == 'alibaba/GraphScope' }}
    steps:
    - uses: actions/checkout@v4

    - name: Build Artifact
      run: |
        . ${HOME}/.graphscope_env
        export INSTALL_DIR=${{ github.workspace }}/install
        mkdir ${INSTALL_DIR}
        make analytical-install INSTALL_PREFIX=${INSTALL_DIR}
        strip ${INSTALL_DIR}/bin/grape_engine
        strip ${INSTALL_DIR}/lib/*.so
        sudo cp -rs ${INSTALL_DIR}/* ${GRAPHSCOPE_HOME}/
        python3 ./k8s/utils/precompile.py --graph --output_dir ${INSTALL_DIR}/builtin
        strip ${INSTALL_DIR}/builtin/*/*.so

    - name: Upload Artifacts
      uses: actions/upload-artifact@v4
      with:
        name: analytical
        path: ${{ github.workspace }}/install
        retention-days: 5

  build-analytical-java:
    runs-on: [self-hosted, manylinux2014]
    needs: [changes]
    #if: ${{ github.repository == 'alibaba/GraphScope' }}
    if: false
    steps:
    - uses: actions/checkout@v4

    - uses: actions/cache@v3
      with:
        path: ~/.m2/repository
        key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
        restore-keys: |
          ${{ runner.os }}-maven-

    - name: Build Artifact
      run: |
        . ${HOME}/.graphscope_env
        export INSTALL_DIR=${{ github.workspace }}/install
        mkdir ${INSTALL_DIR}
        make analytical-java-install INSTALL_PREFIX=${INSTALL_DIR}
        strip ${INSTALL_DIR}/bin/grape_engine
        strip ${INSTALL_DIR}/bin/graphx_runner
        strip ${INSTALL_DIR}/lib/*.so
        sudo cp -rs ${INSTALL_DIR}/* ${GRAPHSCOPE_HOME}/
        python3 ./k8s/utils/precompile.py --graph --output_dir ${INSTALL_DIR}/builtin
        strip ${INSTALL_DIR}/builtin/*/*.so

    - name: Upload Artifacts
      uses: actions/upload-artifact@v4
      with:
        name: analytical-java
        path: ${{ github.workspace }}/install
        retention-days: 5

  build-interactive:
    runs-on: [self-hosted, manylinux2014]
    needs: [changes]
    if: ${{ github.repository == 'alibaba/GraphScope' }}
    steps:
    - uses: actions/checkout@v4

    - uses: actions/cache@v3
      with:
        path: ~/.m2/repository
        key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
        restore-keys: |
          ${{ runner.os }}-maven-

    - uses: actions/cache@v3
      with:
        path: |
          ~/.cargo/bin/
          ~/.cargo/registry/index/
          ~/.cargo/registry/cache/
          ~/.cargo/git/db/
          ~/.cache/sccache
        key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}

    - name: Build Artifact
      run: |
        . ${HOME}/.graphscope_env
        mkdir install
        export SCCACHE_DIR=~/.cache/sccache
        export RUSTC_WRAPPER=/usr/local/bin/sccache
        sccache --start-server
        make interactive-install BUILD_TYPE="debug" INSTALL_PREFIX=${{ github.workspace }}/install
        strip install/bin/gaia_executor
        sccache --show-stats

    - name: Upload Artifacts
      uses: actions/upload-artifact@v4
      with:
        name: interactive
        path: ${{ github.workspace }}/install
        retention-days: 5

  build-learning:
    runs-on: [self-hosted, manylinux2014]
    needs: [changes]
    if: ${{ github.repository == 'alibaba/GraphScope' }}
    steps:
    - uses: actions/checkout@v4
      with:
        submodules: true

    - uses: actions/cache@v3
      with:
        path: ~/.cache/pip
        key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
        restore-keys: |
          ${{ runner.os }}-pip-

    - name: Build Artifact
      run: |
        mkdir install
        make learning-install INSTALL_PREFIX=${{ github.workspace }}/install
        cd ${{ github.workspace }}/python
        pip3 install -r requirements.txt -r requirements-dev.txt --user
        python3 setup.py bdist_wheel
        auditwheel_path=$(python3 -c "import auditwheel; print(auditwheel.__path__[0] + '/main_repair.py')")
        sed -i 's/p.error/logger.warning/g' ${auditwheel_path}
        export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${{ github.workspace }}/learning_engine/graph-learn/graphlearn/built/lib
        auditwheel repair dist/*.whl
        python3 -m pip install wheelhouse/*.whl; \
        cp wheelhouse/*.whl ${{ github.workspace }}/install/
        cd ${{ github.workspace }}/coordinator
        pip3 install -r requirements.txt -r requirements-dev.txt --user
        python3 setup.py bdist_wheel
        cp dist/*.whl ${{ github.workspace }}/install/

    - name: Upload Artifacts
      uses: actions/upload-artifact@v4
      with:
        name: learning
        path: ${{ github.workspace }}/install
        retention-days: 5

  # build-coordinator:
  #   runs-on: ubuntu-latest
  #   needs: [changes]
  #   if: false  # Wheels of learning includes coordinator and client
  #   steps:
  #   - uses: actions/checkout@v4g

  k8s-test:
    runs-on: [self-hosted, ubuntu2004]
    if: ${{ github.repository == 'alibaba/GraphScope' }}
    needs: [build-analytical, build-interactive, build-learning]
    steps:
      - uses: actions/checkout@v4

      - uses: actions/cache@v3
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
          restore-keys: |
            ${{ runner.os }}-pip-

      - uses: actions/download-artifact@v4
        with:
          path: artifacts

      - name: Add envs to GITHUB_ENV
        run: |
          short_sha=$(git rev-parse --short HEAD)
          echo "SHORT_SHA=${short_sha}" >> $GITHUB_ENV

      - name: Build Images
        run: |
          cd ${GITHUB_WORKSPACE}/k8s
          # Use a dummy builder image (tag=ci, which is actually a busybox) to reduce time and space to pull the builder
          make analytical CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
          make interactive CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
          make coordinator CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci

          docker images

      - name: Install Python dependencies
        run: |
          cd ${GITHUB_WORKSPACE}/python
          pip3 install -r requirements.txt -r requirements-dev.txt
          pip3 install pytest pytest-cov pytest-timeout pytest-xdist

          # build python client proto
          cd ${GITHUB_WORKSPACE}/python
          python3 setup.py build_proto

          # install mars
          # python3 -m pip install pymars==0.8.0

      - name: Setup SSH
        run: |
          ssh-keygen -t rsa -f ~/.ssh/id_rsa -N ''
          cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
          chmod og-wx ~/.ssh/authorized_keys
          echo "StrictHostKeyChecking no" >> ~/.ssh/config
          sudo /etc/init.d/ssh start

      - name: Prepare Kubernetes
        env:
          GS_TEST_DIR: ${{ github.workspace }}/gstest
        run: |
          # download dataset
          git clone -b master --single-branch --depth=1 https://github.com/7br/gstest.git ${GS_TEST_DIR}

          minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.30' \
                         --cpus='12' --memory='32000mb' --disk-size='40000mb' \
                         --mount=true --mount-string="${GS_TEST_DIR}:${GS_TEST_DIR}"
          mkdir -p ${{ github.workspace }}

      - name: Load Images
        run: |
          # create a kubernetes cluster with 2 nodes
          #TODO(caoye)
          #minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.32' \
          #               --nodes 2 --cpus='6' --memory='16000mb' --disk-size='20000mb' \
          #               --mount=true --mount-string="${GS_TEST_DIR}:${GS_TEST_DIR}"

          export GS_REGISTRY=""
          export GS_TAG=${SHORT_SHA}
          minikube image load graphscope/coordinator:${SHORT_SHA}
          echo "Loaded coordinator"
          minikube image load graphscope/analytical:${SHORT_SHA}
          echo "Loaded analytical"
          minikube image load graphscope/interactive-frontend:${SHORT_SHA}
          echo "Loaded frontend"
          minikube image load graphscope/interactive-executor:${SHORT_SHA}
          echo "Loaded executor"
          # minikube image load graphscope/learning:${SHORT_SHA}
          # echo "loaded learning"

      - uses: dashanji/kubernetes-log-export-action@v5
        env:
          SHOW_TIMESTAMPS: 'true'
          OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-helm-installation-logs
          NAMESPACES: "gs*,default"
          MODE: start

      - name: Helm Test of installation
        env:
          GS_TEST_DIR: ${{ github.workspace }}/gstest
        run: |
          cd charts
          helm template graphscope --set image.registry="",image.tag="${SHORT_SHA}",withJupyter=false,volumes.enabled=true,volumes.items.data.field.path=${GS_TEST_DIR},engines.log_level=DEBUG \
                                  ./graphscope
          helm install graphscope --set image.registry="",image.tag="${SHORT_SHA}",withJupyter=false,volumes.enabled=true,volumes.items.data.field.path=${GS_TEST_DIR},engines.log_level=DEBUG \
                                  ./graphscope
          helm test graphscope --timeout 5m0s

      - name: Test demo script of helm installation
        run: |
          export NODE_IP=$(kubectl get pod -lgraphscope.coordinator.name=coordinator-graphscope -ojsonpath="{.items[0].status.hostIP}")
          export NODE_PORT=$(kubectl get services coordinator-service-graphscope -ojsonpath="{.spec.ports[0].nodePort}")
          echo "GraphScope service listen on ${NODE_IP}:${NODE_PORT}"
          export GS_ADDR=${NODE_IP}:${NODE_PORT}
          cd ${GITHUB_WORKSPACE}/python

          python3 -m pytest -d --tx popen//python=python3 \
                            -s -vvv \
                            ./graphscope/tests/kubernetes/test_demo_script.py \
                            -k test_helm_installation

      - uses: dashanji/kubernetes-log-export-action@v5
        env:
          OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-helm-installation-logs
          MODE: stop

      - name: Delete Helm Cluster
        run: helm delete graphscope

      - uses: dashanji/kubernetes-log-export-action@v5
        env:
          SHOW_TIMESTAMPS: 'true'
          OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-demo-script-test-logs
          NAMESPACES: "gs*,default"
          MODE: start

      - name: Kubernetes Test
        env:
          GS_TEST_DIR: ${{ github.workspace }}/gstest
        run: |
          export GS_REGISTRY=""
          export GS_TAG=${SHORT_SHA}

          cd ${GITHUB_WORKSPACE}/python
          export PATH=${HOME}/.local/bin:${PATH}

          python3 -m pytest -d --tx popen//python=python3 \
                            --ignore=./graphscope/tests/kubernetes/test_store_service.py \
                            --cov=graphscope --cov-config=.coveragerc --cov-report=xml --cov-report=term \
                            -s -vvv --log-cli-level=INFO \
                            ./graphscope/tests/kubernetes

      - name: Upload Coverage
        uses: codecov/codecov-action@v3
        continue-on-error: true
        with:
          file: ./python/coverage.xml
          fail_ci_if_error: false

      - name: HDFS test
        env:
          JAVA_HOME: /usr/lib/jvm/default-java
          GS_TEST_DIR: ${{ github.workspace }}/gstest
        run: |
          export GS_REGISTRY=""
          export GS_TAG=${SHORT_SHA}

          # install hadoop HDFS
          tar -zxf /home/runner/hadoop-2.10.2.tar.gz -C /tmp/
          cd ${GITHUB_WORKSPACE}/.github/workflows/hadoop_scripts
          ./prepare_hadoop.sh /tmp/hadoop-2.10.2
          export PATH=${PATH}:/tmp/hadoop-2.10.2/bin

          # upload data to HDFS
          hadoop fs -mkdir /ldbc_sample || true
          hadoop fs -chmod 777 /ldbc_sample
          hadoop fs -put ${GS_TEST_DIR}/ldbc_sample/person_0_0.csv /ldbc_sample/person_0_0.csv
          hadoop fs -put ${GS_TEST_DIR}/ldbc_sample/person_knows_person_0_0.csv /ldbc_sample/person_knows_person_0_0.csv

          # prepare CI environments
          export HDFS_TEST_DIR=hdfs:///ldbc_sample
          export HDFS_HOST=$(hostname -I | awk '{print $1}')

          # run test
          cd ${GITHUB_WORKSPACE}/python
          python3 -m pytest -d --tx popen//python=python3 \
                            -s -vvv \
                            ./graphscope/tests/kubernetes/test_demo_script.py \
                            -k test_demo_on_hdfs
          # Check the result file have successfully written to the given location
          # hdfs dfs -test -e /ldbc_sample/res.csv_0 && hdfs dfs -test -e /ldbc_sample/res.csv_1

      - uses: dashanji/kubernetes-log-export-action@v5
        env:
          OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-demo-script-test-logs
          MODE: stop

      - name: Upload the k8s logs to artifact
        uses: actions/upload-artifact@v4
        if: ${{ always() }}
        continue-on-error: true
        with:
          name: k8s-test-logs
          path: ${{ github.workspace }}/k8s-ci-*-logs

  gie-test:
    runs-on: [self-hosted, ubuntu2004]
    needs: [build-analytical, build-interactive, build-learning]
    if: ${{ needs.changes.outputs.gie-function-test == 'true' && github.repository == 'alibaba/GraphScope' }}
    steps:
      - uses: actions/checkout@v4

      - uses: actions/cache@v3
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
          restore-keys: |
            ${{ runner.os }}-pip-

      - uses: actions/download-artifact@v4
        with:
          path: artifacts

      - name: Add envs to GITHUB_ENV
        run: |
          short_sha=$(git rev-parse --short HEAD)
          echo "SHORT_SHA=${short_sha}" >> $GITHUB_ENV

      - name: Build Images
        run: |
          cd ${GITHUB_WORKSPACE}/k8s
          # Use a dummy builder image (tag=ci, which is actually a busybox) to reduce time and space to pull the builder
          make analytical CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
          make interactive CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
          make coordinator CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci

          docker images

      - name: Install Python dependencies
        run: |
          cd ${GITHUB_WORKSPACE}/python
          pip3 install -r requirements.txt -r requirements-dev.txt
          pip3 install pytest pytest-cov pytest-timeout pytest-xdist

          # build python client proto
          python3 setup.py build_proto

      - name: Run Function Test
        run: |
          export GS_TEST_DIR=${GITHUB_WORKSPACE}/interactive_engine/tests/src/main/resources
          minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.30' \
                         --cpus='12' --memory='32000mb' --disk-size='60000mb' \
                         --mount=true --mount-string="${GS_TEST_DIR}:${GS_TEST_DIR}"

          export GS_REGISTRY=""
          export GS_TAG=${SHORT_SHA}
          minikube image load graphscope/coordinator:${SHORT_SHA}
          minikube image load graphscope/analytical:${SHORT_SHA}
          minikube image load graphscope/interactive-frontend:${SHORT_SHA}
          minikube image load graphscope/interactive-executor:${SHORT_SHA}

          export PYTHONPATH=${GITHUB_WORKSPACE}/python:${PYTHONPATH}
          cd ${GITHUB_WORKSPACE}/interactive_engine && mvn clean install --quiet -DskipTests -Drust.compile.skip=true -P graphscope
          cd ${GITHUB_WORKSPACE}/interactive_engine/tests
          # ./function_test.sh 8111 1
          ./function_test.sh 8112 2

  build-gie-experimental:
    needs: [changes]
    # Require the user id of the self-hosted is 1001, which may need to be
    # configured manually when a new self-hosted runner is added.
    runs-on: [self-hosted, manylinux2014]
    if: ${{ github.repository == 'alibaba/GraphScope' }}
    steps:
      - uses: actions/checkout@v4

      - uses: actions/cache@v3
        with:
          path: ~/.m2/repository
          key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
          restore-keys: |
            ${{ runner.os }}-maven-

      - uses: actions/cache@v3
        with:
          path: |
            ~/.cargo/bin/
            ~/.cargo/registry/index/
            ~/.cargo/registry/cache/
            ~/.cargo/git/db/
            ~/.cache/sccache
          key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}

      - name: Build GIE Experimental Artifacts
        run: |
          . ~/.graphscope_env
          export RPC_TARGET=start_rpc_server_k8s
          cd interactive_engine/compiler && make build rpc.target=${RPC_TARGET}
          cd ${GITHUB_WORKSPACE}
          strip interactive_engine/executor/ir/target/release/${RPC_TARGET}
          strip interactive_engine/executor/ir/target/release/libir_core.so
          tar -czf artifacts.tar.gz interactive_engine/compiler/target/libs \
            interactive_engine/compiler/target/compiler-0.0.1-SNAPSHOT.jar \
            interactive_engine/compiler/conf \
            interactive_engine/compiler/set_properties.sh \
            interactive_engine/executor/ir/target/release/libir_core.so \
            interactive_engine/executor/ir/target/release/${RPC_TARGET}

      - name: Upload Artifact
        uses: actions/upload-artifact@v4
        with:
          name: gie-experimental
          path: |
            artifacts.tar.gz
          retention-days: 5

  gie-k8s-failover-test:
    needs: [build-gie-experimental]
    runs-on: [self-hosted, ubuntu2004]
    if: ${{ github.repository == 'alibaba/GraphScope' }}
    steps:
      - uses: actions/checkout@v4

      - uses: actions/download-artifact@v4
        with:
          name: gie-experimental
          path: artifacts

      - name: Add envs to GITHUB_ENV
        run: |
          short_sha=$(git rev-parse --short HEAD)
          echo "SHORT_SHA=${short_sha}" >> $GITHUB_ENV

      - name: Prepare Docker Image
        run: |
          docker build \
              -t registry.cn-hongkong.aliyuncs.com/graphscope/interactive-experimental:${SHORT_SHA} \
              -f .github/workflows/docker/interactive-experimental-local-artifacts.Dockerfile .

      - name: Prepare Cluster and Data
        env:
          GS_TEST_DIR: ${{ github.workspace }}/gstest
          STORE_DATA_PATH: /tmp/data
          GIE_IMAGE: registry.cn-hongkong.aliyuncs.com/graphscope/interactive-experimental
        run: |
          # prepare graph data
          git clone -b master --single-branch --depth=1 https://github.com/7br/gstest.git ${GS_TEST_DIR}
          mkdir -p ${STORE_DATA_PATH}
          cp -r ${GS_TEST_DIR}/modern_graph_exp_bin/* ${STORE_DATA_PATH}

          # prepare minikube cluster
          minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.30' \
          --cpus='12' --memory='32000mb' --disk-size='60000mb' \
          --mount=true --mount-string="${STORE_DATA_PATH}:${STORE_DATA_PATH}"
          minikube image load ${GIE_IMAGE}:${SHORT_SHA}

          # install python gremlin client
          pip install gremlinpython

      - uses: dashanji/kubernetes-log-export-action@v5
        env:
          SHOW_TIMESTAMPS: 'true'
          OUTPUT_DIR: ${{ github.workspace }}/k8s-failover-logs
          NAMESPACES: "gs*,default"
          MODE: start

      - name: Run K8S Failover Test
        run: |
          cd ${GITHUB_WORKSPACE}/charts
          # create local persistent volume which contains graph data for test
          kubectl apply -f ./gie-standalone/tools/pvc.yaml
          # create gie instance (compiler & executor & exp storage)
          helm install test ./gie-standalone \
              --set frontend.image.repository=graphscope/interactive-experimental \
              --set frontend.image.tag=${SHORT_SHA} \
              --set executor.image.repository=graphscope/interactive-experimental \
              --set executor.image.tag=${SHORT_SHA} \
              --set storageType=Experimental \
              --set schemaConfig=expr_modern_schema.json \
              --set executor.replicaCount=2 \
              --set frontend.service.type=NodePort
          # run failover test
          cd ${GITHUB_WORKSPACE}/interactive_engine/compiler && ./ir_k8s_failover_ci.sh default test-gie-standalone 2 1

      - uses: dashanji/kubernetes-log-export-action@v5
        env:
          OUTPUT_DIR: ${{ github.workspace }}/k8s-failover-logs
          MODE: stop

      - name: upload the k8s logs to artifact
        uses: actions/upload-artifact@v4
        continue-on-error: true
        if: ${{ always() }}
        with:
          name: k8s-failover-logs
          path: ${{ github.workspace }}/k8s-failover-logs