cd .github/workflows/multipart/

function cleanup() {
	docker-compose -f docker-compose-site1.yaml rm -s -f || true
	docker-compose -f docker-compose-site2.yaml rm -s -f || true
	for volume in $(docker volume ls -q | grep minio); do
		docker volume rm ${volume} || true
	done

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

cleanup

CONDITIONAL_HOST_MOUNTS="${CONDITIONAL_HOST_MOUNTS:-} "
container_kubeconfig=''

# docker conditional host mount (needed for make docker push)
if [[ -d "${HOME}/.docker" ]]; then
  CONDITIONAL_HOST_MOUNTS+="--mount type=bind,source=${HOME}/.docker,destination=/config/.docker,readonly "
fi

# gcloud conditional host mount (needed for docker push with the gcloud auth configure-docker)
if [[ -d "${HOME}/.config/gcloud" ]]; then

### 全栈 FastAPI + PostgreSQL - 功能

* 完整的 **Docker** 集成（基于 Docker）
* Docker Swarm 开发模式
* **Docker Compose** 本地开发集成与优化
* **生产可用**的 Python 网络服务器，使用 Uvicorn 或 Gunicorn
* Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> 后端：

        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash

conformance:v1.30.0](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le),...

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=tensorflow/build:2.16-python${TFCI_PYTHON_VERSION}
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--build-arg PYTHON_VERSION=python$TFCI_PYTHON_VERSION --target=devel tensorflow/tools/tf_sig_build_dockerfiles"
TFCI_INDEX_HTML_ENABLE=1

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output

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 \

!!! tip "Заметка"
    Если вы не знаете, что такое **контейнеры**, Docker или Kubernetes, не переживайте.

    Я поведаю Вам о контейнерах, образах, Docker, Kubernetes и т.п. в главе: [FastAPI внутри контейнеров - Docker](docker.md){.internal-link target=_blank}.

## Шаги, предшествующие запуску

        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-testiop
        name: istio-init