from fastapi import FastAPI, Path
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: str | None = None,
    item: Item | None = None,
):

class Item(BaseModel):
    name: str
    description: Union[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: Union[float, None] = None


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

# Дополнительные типы данных { #extra-data-types }

До сих пор вы использовали простые типы данных, такие как:

* `int`
* `float`
* `str`
* `bool`

Но вы также можете использовать и более сложные типы.

При этом у вас останутся те же возможности, что и до сих пор:

* Отличная поддержка редактора кода.
* Преобразование данных из входящих запросов.
* Преобразование данных для ответа.
* Валидация данных.

from fastapi.testclient import TestClient
from inline_snapshot import snapshot


@dataclass
class Item:
    id: uuid.UUID
    name: str
    price: float
    tags: list[str] = field(default_factory=list)
    description: Union[str, None] = None
    tax: Union[float, None] = None


app = FastAPI()


@app.get("/item", response_model=Item)
async def read_item():
    return {
        "id": uuid.uuid4(),

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


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


@app.post("/items/", response_model=Item, summary="Create an item")
async def create_item(item: Item):
    """
    Create an item with all the information:

    - **name**: each item must have a name

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: Union[str, None] = None
    description: Union[str, None] = None
    price: Union[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},

public class ElevateWord {

    /**
     * The elevate word.
     */
    protected final String elevateWord;

    /**
     * The boost value associated with the elevate word.
     */
    protected final float boost;

    /**
     * The list of readings associated with the elevate word.
     */
    protected final List<String> readings;

    /**
     * The list of fields associated with the elevate word.
     */

}

// SetHistogramValues - sets values for the given MetricName using the provided map of
// range to value.
func SetHistogramValues[V uint64 | int64 | float64](m MetricValues, name MetricName, values map[string]V, labels ...string) {
	for rng, val := range values {
		m.Set(name, float64(val), append(labels, rangeL, rng)...)
	}
}

// MetricsLoaderFn - represents a function to load metrics from the
// metricsCache.
//

    padding-right: 8px;
  }

  .daterangepicker .ranges, .daterangepicker .drp-calendar {
    float: left;
  }
}

@media (min-width: 730px) {
  .daterangepicker .ranges {
    width: auto;
  }

  .daterangepicker .ranges {
    float: left;
  }

  .daterangepicker.rtl .ranges {
    float: right;
  }

  .daterangepicker .drp-calendar.left {
    clear: none !important;
  }

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()


@app.post("/items/", response_model=Item, summary="Create an item")
async def create_item(item: Item):
    """
    Create an item with all the information: