Então, mesmo com o código acima que não usa Pydantic explicitamente, o FastAPI está usando Pydantic para converter essas dataclasses padrão para a versão do Pydantic.

E claro, ele suporta o mesmo:

* validação de dados
* serialização de dados
* documentação de dados, etc.

  }

  /**
   * Returns a serializable {@code Converter} that converts strings from this format to {@code
   * targetFormat}.
   *
   * @since 16.0
   */
  public Converter<String, String> converterTo(CaseFormat targetFormat) {
    return new StringConverter(this, targetFormat);
  }

  private static final class StringConverter extends Converter<String, String>
      implements Serializable {

                    "description": "A very nice Item",
                    "price": 35.4,
                    "tax": 3.2,
                },
            },
            "converted": {
                "summary": "An example with converted data",
                "description": "FastAPI can convert price `strings` to actual `numbers` automatically",
                "value": {
                    "name": "Bar",

     */
    public static final ArtifactStatus GENERATED = new ArtifactStatus("generated", 1);

    /**
     * Low trust - was converted from the Maven 1.x repository.
     */
    public static final ArtifactStatus CONVERTED = new ArtifactStatus("converted", 2);

    /**
     * Moderate trust - it was deployed directly from a partner.
     */

    # with forward slashes, e.g. 'C:/Program Files', instead of
    # '/c/Program Files', thus becoming converted simply by virtue of having
    # been read.
    converted_vars[var] = value

  var_str = '\n'.join(f'{k}="{v}"'
                      for k, v in converted_vars.items())
  # The string can then be piped into `source`, to re-set the
  # 'converted' variables.
  print(var_str)


if __name__ == '__main__':

     * Returns the OS full name as reported by the system property "os.name".
     * The value is converted to lowercase for consistency.
     *
     * @return the operating system name (never null)
     */
    @Nonnull
    String name();

    /**
     * Returns the OS architecture as reported by the system property "os.arch".
     * The value is converted to lowercase for consistency.
     *

It would also mean that if you get data from the `Request` object directly (for example, read the body) it won't be validated, converted or documented (with OpenAPI, for the automatic API user interface) by FastAPI.

Although any other parameter declared normally (for example, the body with a Pydantic model) would still be validated, converted, annotated, etc.

But there are specific cases where it's useful to get the `Request` object.

                        "price": 35.4,
                        "tax": 3.2,
                    },
                },
                "converted": {
                    "summary": "An example with converted data",
                    "description": "FastAPI can convert price `strings` to actual `numbers` automatically",
                    "value": {
                        "name": "Bar",

        assertEquals(0, results.length);
        assertNull(response.getLastName());
    }

    @Test
    @DisplayName("Test readDataWireFormat with converter offset")
    void testReadDataWireFormatWithConverter() throws Exception {
        // Set converter to test offset calculation
        int converterValue = 100;
        setConverter(response, converterValue);
        setNumEntries(response, 1);

# Codificador Compatível com JSON { #json-compatible-encoder }

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder` { #using-the-jsonable-encoder }