* public class CustomTypeProvider implements TypeProvider {
 *     public Collection<Type> provides() {
 *         return Arrays.asList(
 *             type("kotlin-library", "jar", "kotlin"),
 *             type("docker-image", "tar.gz", null)
 *         );
 *     }
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Type
 * @see org.apache.maven.api.spi.ExtensibleEnumProvider
 * @since 4.0.0
 */
@Experimental
@Consumer

# 在容器中使用 FastAPI - Docker { #fastapi-in-containers-docker }

部署 FastAPI 應用時，一個常見做法是建置一個「Linux 容器映像（container image）」。通常使用 [Docker](https://www.docker.com/) 來完成。之後你可以用多種方式部署該容器映像。

使用 Linux 容器有多種優點，包括安全性、可重現性、簡單性等。

/// tip | 提示

趕時間而且已經懂這些？直接跳到下面的 [`Dockerfile` 👇](#build-a-docker-image-for-fastapi)。

///

<details>
<summary>Dockerfile 預覽 👀</summary>

```Dockerfile
FROM python:3.14

WORKDIR /code

resources ## fullnameOverride: "" ## set kubernetes cluster domain where minio is running ## clusterDomain: cluster.local ## Set default image, imageTag, and imagePullPolicy. mode is used to indicate the ## image: repository: quay.io/minio/minio tag: RELEASE.2022-10-24T18-35-07Z pullPolicy: IfNotPresent imagePullSecrets: [] # - name: "image-pull-secret" ## Set default image, imageTag, and imagePullPolicy for the `mc` (the minio ## client used to create a default bucket). ## mcImage: repository: quay.io/minio/mc...

* Add an entry to the salt config to allow Debian jessie on GCE. ([#25123](https://github.com/kubernetes/kubernetes/pull/25123), [@jlewi](https://github.com/jlewi))
    * As with the existing Wheezy image on GCE, docker is expected to already be installed in the image.
* Fix DeletingLoadBalancer event generation. ([#24833](https://github.com/kubernetes/kubernetes/pull/24833), [@a-robinson](https://github.com/a-robinson))

ogle.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), [s390x](https://console.cloud.google.com/...

pkg image, type Gray struct, Rect Rectangle
pkg image, type Gray struct, Stride int
pkg image, type Gray16 struct
pkg image, type Gray16 struct, Pix []uint8
pkg image, type Gray16 struct, Rect Rectangle
pkg image, type Gray16 struct, Stride int
pkg image, type Image interface { At, Bounds, ColorModel }
pkg image, type Image interface, At(int, int) color.Color
pkg image, type Image interface, Bounds() Rectangle

resources ## fullnameOverride: "" ## set kubernetes cluster domain where minio is running ## clusterDomain: cluster.local ## Set default image, imageTag, and imagePullPolicy. mode is used to indicate the ## image: repository: quay.io/minio/minio tag: RELEASE.2024-12-18T13-15-44Z pullPolicy: IfNotPresent imagePullSecrets: [] # - name: "image-pull-secret" ## Set default image, imageTag, and imagePullPolicy for the `mc` (the minio ## client used to create a default bucket). ## mcImage: repository: quay.io/minio/mc...

            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
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true

            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
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true

You can create a custom sub-class of `StreamingResponse` that sets the `Content-Type` header to the type of data you're streaming.

For example, you can create a `PNGStreamingResponse` that sets the `Content-Type` header to `image/png` using the `media_type` attribute:

{* ../../docs_src/stream_data/tutorial002_py310.py ln[6,19:20] hl[20] *}

Then you can use this new class in `response_class=PNGStreamingResponse` in your *path operation function*: