{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

**FastAPI** will **extract** the data for **each field** from the **form data** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can verify it in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

## Scopes de OAuth2 y OpenAPI { #oauth2-scopes-and-openapi }

La especificación de OAuth2 define "scopes" como una lista de strings separados por espacios.

El contenido de cada uno de estos strings puede tener cualquier formato, pero no debe contener espacios.

Estos scopes representan "permisos".

En OpenAPI (por ejemplo, en la documentación de la API), puedes definir "esquemas de seguridad".

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# Parâmetros de Cookie { #cookie-parameters }

Você pode definir parâmetros de Cookie da mesma maneira que define parâmetros com `Query` e `Path`.

## Importe `Cookie` { #import-cookie }

Primeiro importe `Cookie`:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3] *}

## Declare parâmetros de `Cookie` { #declare-cookie-parameters }

Então declare os parâmetros de cookie usando a mesma estrutura que em `Path` e `Query`.

```

///

## `File` und `Form` importieren { #import-file-and-form }

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[3] *}

## `File` und `Form`-Parameter definieren { #define-file-and-form-parameters }

Erstellen Sie Datei- und Formularparameter, so wie Sie es auch mit `Body` oder `Query` machen würden:

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[10:12] *}

     */
    @ParameterizedTest
    @MethodSource("provideErrorClassAndCodeForGetErrorString")
    @DisplayName("getErrorString should return correct messages for all defined error classes and codes")
    void testGetErrorString(int errorClass, int errorCode, String expectedMessage) {
        assertEquals(expectedMessage, NbtException.getErrorString(errorClass, errorCode),

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the query parameters in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/query-param-models/image01.png">
</div>

4. Click **Import** - Fess will automatically:
   - Parse GSA collections
   - Create corresponding WebConfig or FileConfig entries
   - Convert URL patterns to Fess regex patterns
   - Set up LabelType (access control labels) if defined

**Step 3: Verify Imported Configurations**

After import, verify:
- **Crawler > Web**: Check web crawling configurations
- **Crawler > File**: Check file crawling configurations (SMB, FTP)

from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="module",
    params=[
        "tutorial008_py39",
        # Fails with `NameError: name 'DepA' is not defined`
        pytest.param("tutorial008_an_py39", marks=pytest.mark.xfail),
    ],
)
def get_module(request: pytest.FixtureRequest):
    mod_name = f"docs_src.dependencies.{request.param}"

 * is optional or mandatory), and possible exclusions for transitive dependencies.
 * The {@linkplain #getVersionConstraint() version} and the {@linkplain #getOptional() obligation}
 * may not be defined precisely.
 *
 * @since 4.0.0
 */
@Experimental
@Immutable
public interface DependencyCoordinates extends ArtifactCoordinates {
    /**
     * {@return the type of the dependency}