* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* etc.

{* ../../docs_src/response_status_code/tutorial001_py39.py hl[6] *}

/// note

    * le <abbr title="JavaScript Object Notation">JSON</abbr>.
    * <abbr title="en anglais : path parameters">les paramètres du chemin</abbr>.
    * <abbr title="en anglais : query parameters">les paramètres de la requête</abbr>.
    * les cookies.
    * <abbr title="en anglais : headers">les en-têtes</abbr>.
    * <abbr title="en anglais : forms">les formulaires</abbr>.

Declare os **parâmetros de consulta** que você precisa em um **modelo Pydantic**, e então declare o parâmetro como `Query`:

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

O **FastAPI** **extrairá** os dados para **cada campo** dos **parâmetros de consulta** presentes na requisição, e fornecerá o modelo Pydantic que você definiu.

        </field>
      </fields>
    </class>

    <class xdoc.anchorName="parameter">
      <name>Parameter</name>
      <version>1.0.0+</version>
      <description>A parameter description.</description>
      <!-- see o.a.m.plugin.descriptor.Parameter -->
      <fields>
        <field>
          <name>name</name>
          <version>1.0.0+</version>

    }

    /**
     * Adds an initial facet parameter mapping.
     *
     * @param key the parameter key
     * @param value the parameter value
     */
    public void addInitFacetParam(final String key, final String value) {
        initFacetParamMap.put(value, key);
    }

    /**
     * Gets the initial facet parameter mappings.
     *
     * @return the facet parameter map

* «the override»: «Die Überschreibung»
* «the parameter»: «der Parameter»
* «the parameters» (plural): «die Parameter»
* «the function parameter»: «der Funktionsparameter»
* «the default parameter»: «der Defaultparameter»
* «the body parameter»: «der Body-Parameter»
* «the request body parameter»: «der Requestbody-Parameter»
* «the path parameter»: «der Pfad-Parameter»
* «the query parameter»: «der Query-Parameter»

                This affects the generated OpenAPI (e.g. visible at `/docs`).

                Read more about it in the
                [FastAPI docs for Query Parameters and String Validations](https://fastapi.tiangolo.com/tutorial/query-params-str-validations/#exclude-parameters-from-openapi).
                """
            ),
        ] = True,
        generate_unique_id_function: Annotated[
            Callable[[APIRoute], str],

# Parámetros de Query y Validaciones de String { #query-parameters-and-string-validations }

**FastAPI** te permite declarar información adicional y validación para tus parámetros.

Tomemos esta aplicación como ejemplo:

{* ../../docs_src/query_params_str_validations/tutorial001_py310.py hl[7] *}

        // Should still write the parameters correctly
        assertEquals(TEST_SID, SMBUtil.readInt2(buffer, 0));
        assertEquals(TEST_BATCH_COUNT, SMBUtil.readInt2(buffer, 2));
        assertEquals(TEST_RESUME_KEY, SMBUtil.readInt4(buffer, 6));

        // Empty filename should result in minimal bytes written
        assertTrue(written >= 12); // At least the fixed parameters
    }

    @Test

# Body - Fields { #body-fields }

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning