field_mapping: dict[
        tuple[ModelField, Literal["validation", "serialization"]], dict[str, Any]
    ],
    separate_input_output_schemas: bool = True,
) -> tuple[dict[str, Any], dict[str, Any], dict[str, Any]]:
    path = {}
    security_schemes: dict[str, Any] = {}
    definitions: dict[str, Any] = {}
    assert route.methods is not None, "Methods must be a list"

    set: list,
    UUID: str,
    Url: str,
    AnyUrl: str,
}


def generate_encoders_by_class_tuples(
    type_encoder_map: dict[Any, Callable[[Any], Any]],
) -> dict[Callable[[Any], Any], tuple[Any, ...]]:
    encoders_by_class_tuples: dict[Callable[[Any], Any], tuple[Any, ...]] = defaultdict(
        tuple
    )
    for type_, encoder in type_encoder_map.items():
        encoders_by_class_tuples[encoder] += (type_,)

docs:
  - all:
    - changed-files:
      - any-glob-to-any-file:
        - docs/en/docs/**
        - docs_src/**
      - all-globs-to-all-files:
        - '!fastapi/**'
        - '!pyproject.toml'
        - '!docs/en/data/sponsors.yml'
        - '!docs/en/overrides/main.html'

lang-all:
  - all:
    - changed-files:
      - any-glob-to-any-file:
        - docs/*/docs/**
      - all-globs-to-all-files:

        when(mockSearchBuilder.setScroll(any(Scroll.class))).thenReturn(mockSearchBuilder);
        when(mockSearchBuilder.setSize(10)).thenReturn(mockSearchBuilder);
        when(mockSearchBuilder.setQuery(any())).thenReturn(mockSearchBuilder);
        when(mockSearchBuilder.execute()).thenReturn(mockSearchFuture);
        when(mockSearchFuture.actionGet(anyLong(), any(TimeUnit.class))).thenReturn(mockSearchResponse);

@app.get("/data")
def get_data(session: SessionDep) -> Any:
    data = list(session)
    return data


@app.get("/stream-simple")
def get_stream_simple(session: SessionDep) -> Any:
    def iter_data():
        yield from ["x", "y", "z"]

    return StreamingResponse(iter_data())


@app.get("/stream-session")
def get_stream_session(session: SessionDep) -> Any:
    def iter_data():
        yield from session

        ],
        detail: Annotated[
            Any,
            Doc(
                """
                Any data to be sent to the client in the `detail` key of the JSON
                response.
                """
            ),
        ] = None,
        headers: Annotated[
            Optional[dict[str, str]],
            Doc(
                """
                Any headers to send to the client in the response.

In fact, you can return any `Response` or any sub-class of it.

/// tip

`JSONResponse` itself is a sub-class of `Response`.

///

And when you return a `Response`, **FastAPI** will pass it directly.

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

A "middleware" is a function that works with every **request** before it is processed by any specific *path operation*. And also with every **response** before returning it.

* It takes each **request** that comes to your application.
* It can then do something to that **request** or run any needed code.
* Then it passes the **request** to be processed by the rest of the application (by some *path operation*).

from typing import Any


def get_body_model_name(openapi: dict[str, Any], path: str) -> str:
    body = openapi["paths"][path]["post"]["requestBody"]
    body_schema = body["content"]["application/json"]["schema"]

            ),
        ] = None,
        exception_handlers: Annotated[
            Optional[
                dict[
                    Union[int, type[Exception]],
                    Callable[[Request, Any], Coroutine[Any, Any, Response]],
                ]
            ],
            Doc(
                """
                A dictionary with handlers for exceptions.