Repositorio de GitHub: <a href="https://github.com/tiangolo/full-stack-fastapi-template" class="external-link" target="_blank">Plantilla Full Stack FastAPI</a>

## Plantilla Full Stack FastAPI - Tecnología y Funcionalidades { #full-stack-fastapi-template-technology-stack-and-features }

            |    compileSdk = ${version.compileSdk}
            |    defaultConfig {
            |        applicationId = "org.gradle.android.warmup"
            |        minSdk = ${version.minSdk}
            |        targetSdk = ${version.effectiveTargetSdk}
            |    }
            |    lint {
            |        abortOnError = false
            |        checkReleaseBuilds = false
            |    }
            |}

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

## Declare metadata { #declare-metadata }

You can declare all the same parameters as for `Query`.

</div>

**强烈建议**您在本地编写或复制代码，对其进行编辑并运行。

在编辑器中使用 FastAPI 会真正地展现出它的优势：只需要编写很少的代码，所有的类型检查，代码补全等等。

---

## 安装 FastAPI

第一个步骤是安装 FastAPI.

请确保您创建并激活一个[虚拟环境](../virtual-environments.md){.internal-link target=_blank}，然后**安装 FastAPI**：

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

/// note

当您使用 `pip install "fastapi[standard]"` 进行安装时，它会附带一些默认的可选标准依赖项。

  tensorflow::mutex lock;
};

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
struct TF_Server {
  TF_Server(std::unique_ptr<tensorflow::ServerInterface> server);

  const tensorflow::string target;
  std::unique_ptr<tensorflow::ServerInterface> server;
};
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//

### Die Dokumentation testen { #check-the-docs }

Jetzt können Sie Ihre App starten und auf <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a> gehen.

Sie werden sehen, dass Ihre Dokumentation die normalen *Pfadoperationen* und jetzt auch einige **Webhooks** enthält:

Independent TechEmpower benchmarks show **FastAPI** applications running under Uvicorn as <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">one of the fastest Python frameworks available</a>, only below Starlette and Uvicorn themselves (used internally by FastAPI).

But when checking benchmarks and comparisons you should keep the following in mind.

            <ul>
              <li>{@code ${project.build.outputDirectory}} (typically {@code target/classes}) if {@code scope} is "main",</li>
              <li>{@code ${project.build.testOutputDirectory}} (typically {@code target/test-classes}) if {@code scope} is "test",</li>
              <li>{@code ${project.build.directory}} (typically {@code target}) otherwise.</li>
            </ul>

* **データベースモデル**はおそらくハッシュ化されたパスワードが必要になるでしょう。

/// danger | 危険

ユーザーの平文のパスワードは絶対に保存しないでください。常に認証に利用可能な「安全なハッシュ」を保存してください。

知らない方は、[セキュリティの章](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}で「パスワードハッシュ」とは何かを学ぶことができます。

///

## 複数のモデル

ここでは、パスワードフィールドをもつモデルがどのように見えるのか、また、どこで使われるのか、大まかなイメージを紹介します:

{* ../../docs_src/extra_models/tutorial001.py hl[9,11,16,22,24,29:30,33:35,40:41] *}

)
```

/// info | Informação

Para uma explicação mais completa de `**user_dict`, verifique [a documentação para **Extra Models**](../extra-models.md#about-user-in-dict){.internal-link target=_blank}.

///

## Retorne o token { #return-the-token }

A resposta do endpoint `token` deve ser um objeto JSON.