* Générer et déployer une application **FastAPI** complète, en utilisant votre cluster Docker Swarm, avec HTTPS, etc. En environ **10 min**.

Vous pouvez utiliser <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a> pour le déploiement. Il présente plusieurs avantages comme la sécurité, la réplicabilité, la simplicité de développement, etc.

Si vous utilisez Docker, vous pouvez utiliser l'image Docker officielle :

For example "**Python 3.6+**" means it's compatible with Python 3.6 or above (including 3.7, 3.8, 3.9, 3.10, etc). And "**Python 3.9+**" means it's compatible with Python 3.9 or above (including 3.10, etc).

If you can use the **latest versions of Python**, use the examples for the latest version, those will have the **best and simplest syntax**, for example, "**Python 3.10+**".

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

```sh
aws s3api put-object --bucket testbucket --key lockme --object-lock-mode GOVERNANCE --object-lock-retain-until-date "2019-11-20"  --body /etc/issue
```

See <https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lock-overview.html> for AWS S3 spec on object locking and permissions required for object retention and governance bypass overrides.

RUN /build_devtoolset.sh devtoolset-10 /dt10

# Build later version of patchelf that is not so buggy
COPY builder.patchelf/build_patchelf.sh /build_patchelf.sh
COPY apt.conf /etc/apt/
RUN /build_patchelf.sh

################################################################################

    hostname: site2-minio4
    volumes:
      - site2-data4-1:/data1
      - site2-data4-2:/data2

  site2-nginx:
    image: nginx:1.19.2-alpine
    hostname: site2-nginx
    volumes:
      - ./nginx-site2.conf:/etc/nginx/nginx.conf:ro
    ports:
      - "9002:9002"
    depends_on:
      - site2-minio1
      - site2-minio2
      - site2-minio3
      - site2-minio4

## By default this config uses default local driver,

But that will only allow certain types of communication, excluding everything that involves credentials: Cookies, Authorization headers like those used with Bearer Tokens, etc.

So, for everything to work correctly, it's better to specify explicitly the allowed origins.

## Use `CORSMiddleware`

You can configure it in your **FastAPI** application using the `CORSMiddleware`.

// A TF_ExecutionContext stores knowledge about how to execute an operation.
// E.g. it could know whether we're in eager mode or graph mode, keeps track
// of gradient tapes, etc.
typedef struct TF_ExecutionContext TF_ExecutionContext;

// A TF_AbstractTensor is an input to an operation. E.g. it could be a union
// type of eager and graph tensors. It is also the result of executing an
// operation.

Usar `BackgroundTasks` também funciona com o sistema de injeção de dependência, você pode declarar um parâmetro do tipo `BackgroundTasks` em vários níveis: em uma _função de operação de caminho_, em uma dependência (confiável), em uma subdependência, etc.

O **FastAPI** sabe o que fazer em cada caso e como reutilizar o mesmo objeto, de forma que todas as tarefas em segundo plano sejam mescladas e executadas em segundo plano posteriormente:

```Python hl_lines="13  15  22  25"

Mas isso só permitirá certos tipos de comunicação, excluindo tudo que envolva credenciais: cookies, cabeçalhos de autorização como aqueles usados ​​com Bearer Tokens, etc.

Então, para que tudo funcione corretamente, é melhor especificar explicitamente as origens permitidas.

## Usar `CORSMiddleware`

Você pode configurá-lo em sua aplicação **FastAPI** usando o `CORSMiddleware`.