We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.

For that, we update the Pydantic model `TokenData` with a new property `scopes`.

**FastAPI** verwendet diesen, sodass Sie, wenn Sie ein Pydantic-Modell für `response_model` verwenden, und ihre Daten fehlerhaft sind, einen Fehler in ihrem Log sehen.

{!../../../docs_src/first_steps/tutorial001.py!}
```

Bạn có thể trả về một `dict`, `list`, một trong những giá trị đơn như `str`, `int`,...

Bạn cũng có thể trả về Pydantic model (bạn sẽ thấy nhiều hơn về nó sau).

Có nhiều object và model khác nhau sẽ được tự động chuyển đổi sang JSON (bao gồm cả ORM,...). Thử sử dụng loại ưa thích của bạn, nó có khả năng cao đã được hỗ trợ.

## Tóm lại

* Import `FastAPI`.

**FastAPI** faz uso dele para que você veja o erro no seu log, caso você utilize um modelo de Pydantic em `response_model`, e seus dados tenham erro.

Contudo, o cliente ou usuário não terão acesso a ele. Ao contrário, o cliente receberá um "Internal Server Error" com o HTTP status code `500`.

All rights reserved.

All other contributions:

Copyright (c) 2014, the respective contributors
All rights reserved.

Caffe uses a shared copyright model: each contributor holds copyright over
their contributions to Caffe. The project versioning records all such
contribution and copyright details. If a contributor wants to further mark

pkg image, type RGBA64Image interface, RGBA64At(int, int) color.RGBA64
pkg image/draw, type RGBA64Image interface { At, Bounds, ColorModel, RGBA64At, Set, SetRGBA64 }
pkg image/draw, type RGBA64Image interface, At(int, int) color.Color
pkg image/draw, type RGBA64Image interface, Bounds() image.Rectangle
pkg image/draw, type RGBA64Image interface, ColorModel() color.Model

And if that `Response` has a JSON media type (`application/json`), like is the case with the `JSONResponse` and `UJSONResponse`, the data you return will be automatically converted (and filtered) with any Pydantic `response_model` that you declared in the *path operation decorator*.

!!! note

### Memory per Process

Now, when the program loads things in memory, for example, a machine learning model in a variable, or the contents of a large file in a variable, all that **consumes a bit of the memory (RAM)** of the server.

  <version>5</version>
  <packaging>pom</packaging>
  <name>Apache Maven</name>
  <description>
    Maven is a software project management and comprehension tool. Based on the concept of a project object model
    (POM), Maven can manage a project's build, reporting and documentation from a central piece of information.
  </description>
  <url>http://maven.apache.org/</url>
  <issueManagement>
    <system>jira</system>

    val prefix = testType.prefix
    val sourceSet = the<SourceSetContainer>().getByName("${prefix}Test")

    // We apply lazy as we don't want to depend on the order
    plugins.withType<IdeaPlugin> {
        with(model) {
            module {
                testSources.from(sourceSet.java.srcDirs, sourceSet.the<GroovySourceDirectorySet>().srcDirs)
                testResources.from(sourceSet.resources.srcDirs)
            }
        }