**FastAPI** **extraerá** los datos para **cada campo** de los **parámetros query** en el request y te proporcionará el modelo de Pydantic que definiste.

## Revisa la Documentación { #check-the-docs }

Puedes ver los parámetros query en la UI de documentación en `/docs`:

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

## Prohibir Parámetros Query Extras { #forbid-extra-query-parameters }

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        description: Annotated[
            Optional[str],
            Doc(
                """
                Security scheme description.

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,

                owner_html_url=repo.owner.html_url,
            )
        )
    data = [repo.model_dump() for repo in final_repos]

    # Local development
    # repos_path = Path("../docs/en/data/topic_repos.yml")
    repos_path = Path("./docs/en/data/topic_repos.yml")
    repos_old_content = repos_path.read_text(encoding="utf-8")
    new_repos_content = yaml.dump(data, sort_keys=False, width=200, allow_unicode=True)

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.docs.dsl.docbook;

import gradlebuild.docs.dsl.docbook.model.BlockDoc;
import org.w3c.dom.Document;
import org.w3c.dom.Element;

public class BlockTableRenderer {
    public void renderTo(Iterable<BlockDoc> blocks, Element parent) {

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.docs.dsl.docbook;

import gradlebuild.docs.dsl.docbook.model.PropertyDoc;
import org.w3c.dom.Document;
import org.w3c.dom.Element;

public class PropertyTableRenderer {
    public void renderTo(Iterable<PropertyDoc> properties, Element parent) {

/// note

If you use a response class with no media type, FastAPI will expect your response to have no content, so it will not document the response format in its generated OpenAPI docs.

///

## Use `ORJSONResponse` { #use-orjsonresponse }

**FastAPI** **extraerá** los datos para **cada campo** de los **headers** en el request y te dará el modelo Pydantic que definiste.

## Revisa la Documentación { #check-the-docs }

Puedes ver los headers requeridos en la interfaz de documentación en `/docs`:

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

## Prohibir Headers Extra { #forbid-extra-headers }

    * Ein Python-`datetime.timedelta`.
    * Wird in Requests und Responses als `float` der Gesamtsekunden dargestellt.
    * Pydantic ermöglicht auch die Darstellung als „ISO 8601 Zeitdifferenz-Kodierung“, <a href="https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers" class="external-link" target="_blank">siehe die Dokumentation für weitere Informationen</a>.
* `frozenset`:
    * Wird in Requests und Responses wie ein `set` behandelt:

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: str | None = None

from typing import Union

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: Union[str, None] = None