//// tab | `venv`

To create a virtual environment, you can use the `venv` module that comes with Python.

<div class="termy">

```console
$ python -m venv .venv
```

</div>

/// details | What that command means

* `python`: use the program called `python`
* `-m`: call a module as a script, we'll tell it which module next
* `venv`: use the module called `venv` that normally comes installed with Python

module gorm.io/gorm/tests

go 1.23.0

require (
	github.com/google/uuid v1.6.0
	github.com/jinzhu/now v1.1.5
	github.com/lib/pq v1.10.9
	github.com/stretchr/testify v1.11.1
	gorm.io/driver/gaussdb v0.1.0
	gorm.io/driver/mysql v1.6.0
	gorm.io/driver/postgres v1.6.0
	gorm.io/driver/sqlite v1.6.0
	gorm.io/driver/sqlserver v1.6.1
	gorm.io/gorm v1.30.2
)

require (
	filippo.io/edwards25519 v1.1.0 // indirect

////

/// info

In Pydantic Version 1 hieß die Methode zum Abrufen des JSON-Schemas für ein Modell `Item.schema()`, in Pydantic Version 2 heißt die Methode `Item.model_json_schema()`.

///

Obwohl wir nicht die standardmäßig integrierte Funktionalität verwenden, verwenden wir dennoch ein Pydantic-Modell, um das JSON-Schema für die Daten, die wir in YAML empfangen möchten, manuell zu generieren.

 ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮
 │                      │
 │  🐍 main.py          │
 │                      │
 ╰──────────────────────╯

<font color="#3465A4">INFO    </font> Importing module <font color="#4E9A06">main</font>
<font color="#3465A4">INFO    </font> Found importable FastAPI app

      label: "Does this issue reproduce at the latest version of golang.org/x/vuln?"
    validations:
      required: true
  - type: textarea
    id: go-env
    attributes:
      label: "Output of `go env` in your module/workspace:"
      render: shell
    validations:
      required: true
  - type: textarea
    id: what-did-you-do
    attributes:
      label: "What did you do?"

# Renvoyer directement une réponse

Lorsque vous créez une *opération de chemins* **FastAPI**, vous pouvez normalement retourner n'importe quelle donnée : un `dict`, une `list`, un modèle Pydantic, un modèle de base de données, etc.

Par défaut, **FastAPI** convertirait automatiquement cette valeur de retour en JSON en utilisant le `jsonable_encoder` expliqué dans [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

			<excludes>
				<exclude>*</exclude>
			</excludes>
			<filtered>false</filtered>
		</fileSet>
		<!-- es/modules -->
		<fileSet>
			<directory>${project.basedir}/modules</directory>
			<outputDirectory>fess-${project.version}/es/modules</outputDirectory>
		</fileSet>
		<!-- es/plugins -->
		<fileSet>
			<directory>${project.basedir}/plugins</directory>

@Experimental
@Immutable
public interface Dependency extends Artifact {
    /**
     * {@return the type of the dependency}.
     * A dependency can be a <abbr>JAR</abbr> file,
     * a modular-<abbr>JAR</abbr> if it is intended to be placed on the module path,
     * a <abbr>JAR</abbr> containing test classes, <i>etc.</i>
     *
     * @see DependencyCoordinates#getType()
     */
    @Nonnull
    Type getType();

    /**

Zum Beispiel deklariert das obige Modell ein JSON "`object`" (oder Python-`dict`) wie dieses:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

Esse arquivo pode começar com algo como:

```JavaScript
/*! For license information please see redoc.standalone.js.LICENSE.txt */
!function(e,t){"object"==typeof exports&&"object"==typeof module?module.exports=t(require("null")):
...
```

Isso confirma que você está conseguindo fornecer arquivos estáticos do seu aplicativo e que você colocou os arquivos estáticos para a documentação no local correto.