MOUNT_DEST="${MOUNT_DEST:-/work}"

read -ra DOCKER_RUN_OPTIONS <<< "${DOCKER_RUN_OPTIONS:-}"

[[ -t 1 ]] && DOCKER_RUN_OPTIONS+=("-it")
[[ ${UID} -ne 0 ]] && DOCKER_RUN_OPTIONS+=(-u "${UID}:${DOCKER_GID}")

# $CONTAINER_OPTIONS becomes an empty arg when quoted, so SC2086 is disabled for the
# following command only
# shellcheck disable=SC2086
"${CONTAINER_CLI}" run \
    --rm \
    "${DOCKER_RUN_OPTIONS[@]}" \
    --init \

        os: [ubuntu-latest]
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
          go-version: ${{ matrix.go-version }}

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v2

      - name: Setup dockerfile for build test
        run: |
          GO_VERSION=$(go version | cut -d ' ' -f 3 | sed 's/go//')
          echo Detected go version $GO_VERSION

export JOB_NAME="$4"
export MINT_MODE="full"

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -f dangling=true) || true

## change working directory
cd .github/workflows/mint

docker-compose -f minio-${MODE}.yaml up -d
sleep 30s

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -q -f dangling=true) || true

```sh
docker logs <container_id>
```

### Monitor MinIO Docker Container

To monitor the resources used by MinIO container, you can use the [`docker stats`](https://docs.docker.com/engine/reference/commandline/stats/) command.

```sh
docker stats <container_id>
```

## Explore Further

    docker exec "${C1_NODE}" ip route add "${C2_POD_CIDR}" via "${C2_DOCKER_IP}"
    docker exec "${C1_NODE}" ip route add "${C2_SVC_CIDR}" via "${C2_DOCKER_IP}"
    docker exec "${C2_NODE}" ip route add "${C1_POD_CIDR}" via "${C1_DOCKER_IP}"
    docker exec "${C2_NODE}" ip route add "${C1_SVC_CIDR}" via "${C1_DOCKER_IP}"
  fi
}

function install_calico {

* **安全密码**，默认使用密码哈希
* **JWT 令牌**身份验证
* **SQLAlchemy** 模型（独立于 Flask 扩展，可直接用于 Celery Worker）
* 基础的用户模型（可按需修改或删除）
* **Alembic** 迁移
* **CORS**（跨域资源共享）
* **Celery** Worker 可从后端其它部分有选择地导入并使用模型和代码
* REST 后端测试基于 Pytest，并与 Docker 集成，可独立于数据库实现完整的 API 交互测试。因为是在 Docker 中运行，每次都可从头构建新的数据存储（使用 ElasticSearch、MongoDB、CouchDB 等数据库，仅测试 API 运行）
* Python 与 **Jupyter Kernels** 集成，用于远程或 Docker 容器内部开发，使用 Atom Hydrogen 或 Visual Studio Code 的 Jupyter 插件
* **Vue** 前端：

          for volume in $(docker volume ls -q | grep minio); do
            docker volume rm ${volume} || true
          done

          docker rmi -f quay.io/minio/minio:${{ steps.vars.outputs.sha_short }}
          docker system prune -f || true
          docker volume prune -f || true

FROM minio/minio:latest

COPY ./minio /usr/bin/minio
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]

VOLUME ["/data"]

FROM minio/minio:latest

ENV PATH=/opt/bin:$PATH

COPY ./minio /opt/bin/minio
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]

VOLUME ["/data"]

        track: stable
    spec:
      containers:
      - image: fake.docker.io/google-samples/hello-go-gke:1.0
        name: hello
        ports:
        - containerPort: 80
          name: http
        resources: {}
      - image: docker.io/istio/proxy_debug:unittest
        name: istio-proxy
        resources: {}
      initContainers:
      - image: docker.io/istio/proxy_init:unittest-test
        name: istio-init