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Por exemplo, no Visual Studio Code, você pode:

* Ir para o painel "Debug".
* "Add configuration...".
* Selecionar "Python"
* Executar o depurador com a opção "`Python: Current File (Integrated Terminal)`".

Em seguida, ele iniciará o servidor com seu código **FastAPI**, parará em seus pontos de interrupção, etc.

Veja como pode parecer:

<img src="/img/tutorial/debugging/image01.png">

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This isn't even Python, NestJS is a JavaScript (TypeScript) NodeJS framework inspired by Angular.

It achieves something somewhat similar to what can be done with Flask-apispec.

It has an integrated dependency injection system, inspired by Angular 2. It requires pre-registering the "injectables" (like all the other dependency injection systems I know), so, it adds to the verbosity and code repetition.

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Por ejemplo, en Visual Studio Code, puedes:

* Ir al panel de "Debug".
* "Add configuration...".
* Seleccionar "Python".
* Ejecutar el depurador con la opción "`Python: Current File (Integrated Terminal)`".

Luego, iniciará el servidor con tu código **FastAPI**, deteniéndose en tus puntos de interrupción, etc.

Así es como podría verse:

<img src="/img/tutorial/debugging/image01.png">

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Например, в Visual Studio Code вы можете выполнить следующие шаги:

* Перейдите на панель "Debug".
* Выберите "Add configuration...".
* Выберите "Python"
* Запустите отладчик "`Python: Current File (Integrated Terminal)`".

Это запустит сервер с вашим **FastAPI** кодом, остановится на точках останова, и т.д.

Вот как это может выглядеть:

<img src="/img/tutorial/debugging/image01.png">

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All the security utilities that integrate with OpenAPI (and the automatic API docs) inherit from `SecurityBase`, that's how **FastAPI** can know how to integrate them in OpenAPI.

///

## What it does { #what-it-does }

- Cliquer sur l'onglet "Debug" de la barre d'activités de Visual Studio Code.
- "Add configuration...".
- Sélectionnez "Python".
- Lancez le <abbr title="En anglais: debugger">débogueur</abbr> avec l'option "`Python: Current File (Integrated Terminal)`".

Il démarrera alors le serveur avec votre code **FastAPI**, s'arrêtera à vos points d'arrêt, etc.

Voici à quoi cela pourrait ressembler :

<img src="/img/tutorial/debugging/image01.png">

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package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/url"
	"time"

	"github.com/minio/minio-go/v7"
	cr "github.com/minio/minio-go/v7/pkg/credentials"
)

var (
	// LDAP integrated Minio endpoint
	stsEndpoint string

	// token to use with AssumeRoleWithCustomToken
	token string

	// Role ARN to use
	roleArn string

	// Display credentials flag
	displayCreds bool

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예를 들어 Visual Studio Code에서 다음을 수행할 수 있습니다.

* "Debug" 패널로 이동합니다.
* "Add configuration...".
* "Python"을 선택합니다.
* "`Python: Current File (Integrated Terminal)`" 옵션으로 디버거를 실행합니다.

그런 다음 **FastAPI** 코드로 서버를 시작하고 중단점 등에서 중지합니다.

다음과 같이 표시됩니다.

<img src="/img/tutorial/debugging/image01.png">

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Pycharm을 사용하는 경우 다음을 수행할 수 있습니다

And you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:

//// tab | Pydantic v2

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For example, in Visual Studio Code, you can:

* Go to the "Debug" panel.
* "Add configuration...".
* Select "Python"
* Run the debugger with the option "`Python: Current File (Integrated Terminal)`".

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

Here's how it might look:

<img src="/img/tutorial/debugging/image01.png">

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