In this case, if you go to:

```
http://127.0.0.1:8000/items/foo?short=1
```

or

```
http://127.0.0.1:8000/items/foo?short=True
```

or

```
http://127.0.0.1:8000/items/foo?short=true
```

or

```
http://127.0.0.1:8000/items/foo?short=on
```

or

```
http://127.0.0.1:8000/items/foo?short=yes
```

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = Field(
        default=None, title="The description of the item", max_length=300
    )
    price: float = Field(gt=0, description="The price must be greater than zero")
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):

* Beide _Pfade_ nehmen `GET` Operationen (auch bekannt als HTTP-_Methoden_) entgegen.
* Der _Pfad_ `/items/{item_id}` hat einen _Pfad-Parameter_ `item_id`, der ein `int` sein sollte.
* Der _Pfad_ `/items/{item_id}` hat einen optionalen `str`-_Query-Parameter_ `q`.

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI(strict_content_type=False)


class Item(BaseModel):
    name: str
    price: float


@app.post("/items/")
async def create_item(item: Item):

    private final List<ProjectSegment> items;

    public ProjectBuildList(List<ProjectSegment> items) {
        this.items = Collections.unmodifiableList(items);
    }

    // TODO Optimize; or maybe just rewrite the whole way aggregating mojos are being run.
    /**
     * Returns aProjectBuildList that contains only items for the specified taskSegment
     * @param taskSegment the requested task segment

        readings2[0] = new String[] { "next" };
        SuggestItem item2 = new SuggestItem(new String[] { "次" }, readings2, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT);
        suggester.indexer().index(item2);
        suggester.refresh();

                                    "title": "Query",
                                    "uniqueItems": True,
                                    "type": "array",
                                    "items": {"type": "integer"},
                                },
                                "name": "query",
                                "in": "query",
                            }
                        ],

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item,
    user: User,
    importance: Annotated[int, Body(gt=0)],

    }


def test_encode_dataclass():
    item = Item(name="foo", count=100)
    assert jsonable_encoder(item) == {"name": "foo", "count": 100}
    assert jsonable_encoder(item, include={"name"}) == {"name": "foo"}
    assert jsonable_encoder(item, exclude={"count"}) == {"name": "foo"}
    assert jsonable_encoder(item, include={}) == {}
    assert jsonable_encoder(item, exclude={}) == {"name": "foo", "count": 100}

from fastapi import FastAPI, HTTPException, Request
from pydantic import BaseModel, ValidationError

app = FastAPI()


class Item(BaseModel):
    name: str
    tags: list[str]


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.model_json_schema()}},
            "required": True,
        },
    },
)
async def create_item(request: Request):