Sebastián Ramírez <******@****.***> 1688749933 +0200

    pass  # pragma: no cover


async def ws_dependency_validate(x_missing: str = Header()):
    pass  # pragma: no cover


@router.websocket("/depends-validate/")
async def router_ws_depends_validate(
    websocket: WebSocket, data=Depends(ws_dependency_validate)
):
    pass  # pragma: no cover


class CustomError(Exception):
    pass

    response = client.get("/users/me", headers={"Authorization": "Bearer nonexistent"})
    assert response.status_code == 401, response.text
    assert response.json() == {"detail": "Could not validate credentials"}
    assert response.headers["WWW-Authenticate"] == 'Bearer scope="me"'


@needs_py39
def test_incorrect_token_type(client: TestClient):
    response = client.get(

    # For forms and file uploads
    "python-multipart >=0.0.7",
    # For UJSONResponse
    "ujson >=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0",
    # For ORJSONResponse
    "orjson >=3.2.1",
    # To validate email fields
    "email_validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",
    # TODO: this should be part of some pydantic optional extra dependencies
    # # Settings management

    )
    graphql_response = DiscussionsResponse.model_validate(data)
    return graphql_response.data.repository.discussions.edges


def get_graphql_pr_edges(*, settings: Settings, after: Union[str, None] = None):
    data = get_graphql_response(settings=settings, query=prs_query, after=after)
    graphql_response = PRsResponse.model_validate(data)
    return graphql_response.data.repository.pullRequests.edges

        "tax": 3.2
    },
    "user": {
        "username": "dave",
        "full_name": "Dave Grohl"
    },
    "importance": 5
}
```

Again, it will convert the data types, validate, document, etc.

## Multiple body params and query

Of course, you can also declare additional query parameters whenever you need, additional to any body parameters.

    return encoded_jwt


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    credentials_exception = HTTPException(
        status_code=status.HTTP_401_UNAUTHORIZED,
        detail="Could not validate credentials",
        headers={"WWW-Authenticate": "Bearer"},
    )
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        username: str = payload.get("sub")
        if username is None:

    else:
        authenticate_value = "Bearer"
    credentials_exception = HTTPException(
        status_code=status.HTTP_401_UNAUTHORIZED,
        detail="Could not validate credentials",
        headers={"WWW-Authenticate": authenticate_value},
    )
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        username: str = payload.get("sub")

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

And you get all the editor support with that resulting object.

An example from the official Pydantic docs:

Sebastián Ramírez <******@****.***> 1688749933 +0200