from pydantic import BaseModel


def forwardref_method(input: "ForwardRefModel") -> "ForwardRefModel":
    return ForwardRefModel(x=input.x + 1)


class ForwardRefModel(BaseModel):

 * attributes of this artifact.
 *
 * TODO I think this exposes a design flaw in that the immutable and mutable parts of an artifact are in one class and
 * should be split. ie scope, file, etc depend on the context of use, whereas everything else is immutable.
 */
@Deprecated
public class ActiveProjectArtifact implements Artifact {
    private final Artifact artifact;

    private final MavenProject project;

* <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md#responses-object" class="external-link" target="_blank">Объект Responses OpenAPI</a>, он включает `Response Object`.

///

/// info

Unless you specify a different media type explicitly in your `responses` parameter, FastAPI will assume the response has the same media type as the main response class (default `application/json`).

But if you have specified a custom response class with `None` as its media type, FastAPI will use `application/json` for any additional response that has an associated model.

///

# Without aliases


@app.post("/required-list-str", operation_id="required_list_str")
async def read_required_list_str(p: Annotated[list[str], Body(embed=True)]):
    return {"p": p}


class BodyModelRequiredListStr(BaseModel):
    p: list[str]


@app.post("/model-required-list-str", operation_id="model_required_list_str")
def read_model_required_list_str(p: BodyModelRequiredListStr):
    return {"p": p.p}

# Without aliases


@app.post("/optional-str", operation_id="optional_str")
async def read_optional_str(p: Annotated[Optional[str], Body(embed=True)] = None):
    return {"p": p}


class BodyModelOptionalStr(BaseModel):
    p: Optional[str] = None


@app.post("/model-optional-str", operation_id="model_optional_str")
async def read_model_optional_str(p: BodyModelOptionalStr):
    return {"p": p.p}

Houveram mudanças no próprio Pydantic para que isso fosse possível.

As capturas de tela anteriores foram capturas no <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

Mas você terá o mesmo suporte do editor no <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> e na maioria dos editores Python:

<img src="/img/tutorial/body/image05.png">

/// tip | Dica

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str | None = None
    description: str | None = None
    price: float | None = None
    tax: float = 10.5
    tags: list[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},

 * Populates Aether {@link ArtifactDescriptorResult} from Maven project {@link Model}.
 * <p>
 * <strong>Note:</strong> This class is part of work in progress and can be changed or removed without notice.
 * @since 3.2.4
 * @deprecated since 4.0.0, use {@code maven-api-impl} jar instead
 */
@Deprecated(since = "4.0.0")
public class ArtifactDescriptorReaderDelegate {

# Body - Updates { #body-updates }

## Update replacing with `PUT` { #update-replacing-with-put }

To update an item you can use the <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">HTTP `PUT`</a> operation.

You can use the `jsonable_encoder` to convert the input data to data that can be stored as JSON (e.g. with a NoSQL database). For example, converting `datetime` to `str`.