### Full Stack FastAPI PostgreSQL – Funktionen

* Vollständige **Docker**-Integration (Docker-basiert).
* Docker-Schwarmmodus-Deployment.
* **Docker Compose**-Integration und Optimierung für die lokale Entwicklung.
* **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.

        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

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

* **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：

        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 \