Und dann validieren wir diese Daten mit dem Pydantic-Modell (wobei wir die `ValidationError`-Exception abfangen), und wenn wir beim Lesen des JWT-Tokens oder beim Validieren der Daten mit Pydantic einen Fehler erhalten, lösen wir die zuvor erstellte `HTTPException` aus.

Dazu aktualisieren wir das Pydantic-Modell `TokenData` mit einem neuen Attribut `scopes`.

### Arbeitsspeicher pro Prozess

Wenn das Programm nun Dinge in den Arbeitsspeicher lädt, zum Beispiel ein Modell für maschinelles Lernen in einer Variablen oder den Inhalt einer großen Datei in einer Variablen, verbraucht das alles **einen Teil des Arbeitsspeichers (RAM – Random Access Memory)** des Servers.

<img src="/img/python-types/image06.png">

Notice that this means "`one_person` is an **instance** of the class `Person`".

It doesn't mean "`one_person` is the **class** called `Person`".

## Pydantic models

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

	"istio.io/istio/istioctl/pkg/writer/envoy/clusters"
	"istio.io/istio/istioctl/pkg/writer/envoy/configdump"
	"istio.io/istio/operator/pkg/util"
	"istio.io/istio/pilot/pkg/model"
	"istio.io/istio/pkg/config/host"
	"istio.io/istio/pkg/kube"
	"istio.io/istio/pkg/log"
)

const (
	jsonOutput             = "json"
	yamlOutput             = "yaml"
	summaryOutput          = "short"

import java.util.Collections;
import java.util.Locale;
import java.util.UUID;
import java.util.stream.Collectors;
import java.util.stream.Stream;

import org.apache.maven.api.Version;
import org.apache.maven.api.services.model.ModelVersionParser;
import org.eclipse.aether.util.version.GenericVersionScheme;
import org.junit.jupiter.api.Test;

import static java.util.stream.Collectors.toList;
import static org.junit.jupiter.api.Assertions.fail;

[_istioctl_](https://istio.io/latest/docs/reference/commands/istioctl/) command line utility.

    - [pilot](pilot/). This directory
contains platform-specific code to populate the
[abstract service model](https://istio.io/docs/concepts/traffic-management/#pilot), dynamically reconfigure the proxies
when the application topology changes, as well as translate

///

### Использование Pydantic's `Required` вместо Ellipsis (`...`)

github.com/google/cel-go v0.21.0 h1:cl6uW/gxN+Hy50tNYvI691+sXxioCnstFzLp2WO4GCI=
github.com/google/cel-go v0.21.0/go.mod h1:rHUlWCcBKgyEk+eV03RPdZUekPp6YcJwV0FxuUksYxc=
github.com/google/gnostic-models v0.6.8 h1:yo/ABAfM5IMRsS1VnXjTBvUb61tFIHozhlYvRgGre9I=
github.com/google/gnostic-models v0.6.8/go.mod h1:5n7qKqH0f5wFt+aWF8CW6pZLLNOfYuF5OpfBSENuI8U=
github.com/google/go-cmp v0.2.0/go.mod h1:oXzfMopK8JAjlY9xF4vHSVASa0yLyX7SntLO5aqRK0M=

      <execution>
        <goals>
          <goal>process</goal>
        </goals>
      </execution>
    </executions>
  </plugin>
  .
  .
  .
</plugins>

<img src="/img/python-types/image06.png">

Lưu ý rằng, điều này có nghĩa rằng "`one_person`" là một **thực thể** của lớp `Person`.

Nó không có nghĩa "`one_person`" là một **lớp** gọi là `Person`.

## Pydantic models

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> là một thư viện Python để validate dữ liệu hiệu năng cao.