echo "Trigger properties:" $(cat trigger.properties)
      - trigger-builds:
        - project: "{periodic-job}"
          current-parameters: false
          git-revision: false
          parameter-factories:
            - factory: filebuild

Declara los **parámetros query** que necesitas en un **modelo de Pydantic**, y luego declara el parámetro como `Query`:

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

**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 }

## List fields with type parameter { #list-fields-with-type-parameter }

But Python has a specific way to declare lists with internal types, or "type parameters":

### Declare a `list` with a type parameter { #declare-a-list-with-a-type-parameter }

To declare types that have type parameters (internal types), like `list`, `dict`, `tuple`,
pass the internal type(s) as "type parameters" using square brackets: `[` and `]`

```Python

## Datei-Parameter mit `UploadFile` { #file-parameters-with-uploadfile }

Definieren Sie einen Datei-Parameter mit dem Typ `UploadFile`:

{* ../../docs_src/request_files/tutorial001_an_py310.py hl[14] *}

`UploadFile` zu verwenden, hat mehrere Vorzüge gegenüber `bytes`:

* Sie müssen `File()` nicht als Parameter-Defaultwert verwenden.

# Response Cookies { #response-cookies }

## Use a `Response` parameter { #use-a-response-parameter }

You can declare a parameter of type `Response` in your *path operation function*.

And then you can set cookies in that *temporal* response object.

{* ../../docs_src/response_cookies/tutorial002_py310.py hl[1, 8:9] *}

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

            buf.append(e.getSecond());
        });
        return buf.toString();
    }

    /**
     * Loads configuration parameters into a map.
     *
     * @param paramMap the parameter map
     * @param configParam the configuration parameter string
     */
    public static void loadConfigParams(final Map<String, Object> paramMap, final String configParam) {

{* ../../docs_src/using_request_directly/tutorial001_py310.py hl[1,7:8] *}

By declaring a *path operation function* parameter with the type being the `Request` **FastAPI** will know to pass the `Request` in that parameter.

/// tip

Note that in this case, we are declaring a path parameter beside the request parameter.

So, the path parameter will be extracted, validated, converted to the specified type and annotated with OpenAPI.

///

### Bir *Path Parameter* Tanımlayalım { #declare-a-path-parameter }

Ardından oluşturduğunuz enum sınıfını (`ModelName`) kullanarak tip belirteciyle bir *path parameter* oluşturun:

{* ../../docs_src/path_params/tutorial005_py310.py hl[16] *}

### Dokümana Göz Atalım { #check-the-docs }

        assertEquals(8, next.maxParameterCount, "Max parameter count should be 8");
        assertEquals(Trans2FindFirst2.LIST_SIZE, next.maxDataCount, "Max data count should use LIST_SIZE");
        assertEquals((byte) 0x00, next.maxSetupCount, "Max setup count must be 0");

        // Information level defaults to BOTH_DIRECTORY_INFO (0x104) — check via parameters encoding

///

## Importer `File` { #import-file }

Importez `File` et `UploadFile` depuis `fastapi` :

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

## Définir des paramètres `File` { #define-file-parameters }

Créez des paramètres de fichier de la même manière que pour `Body` ou `Form` :

{* ../../docs_src/request_files/tutorial001_an_py310.py hl[9] *}

/// info