* Entregar a você a informação recebida no parâmetro `item`.
    * Como você o declarou na função como do tipo `Item`, você também terá o suporte do editor (completação, etc) para todos os atributos e seus tipos.

"pointerup"+F,DRAG_START:"dragstart"+F,LOAD_DATA_API:"load"+F+U,CLICK_DATA_API:"click"+F+U},z="carousel",X="active",$="slide",G="carousel-item-right",J="carousel-item-left",Z="carousel-item-next",tt="carousel-item-prev",et="pointer-event",nt=".active",it=".active.carousel-item",ot=".carousel-item",rt=".carousel-item img",st=".carousel-item-next, .carousel-item-prev",at=".carousel-indicators",lt="[data-slide], [data-slide-to]",ct='[data-ride="carousel"]',ht={TOUCH:"touch",PEN:"pen"},ut=function(){function...

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Item",
                    "operationId": "read_item_items__get",
                }
            }
        },

class User(peewee.Model):
    email = peewee.CharField(unique=True, index=True)
    hashed_password = peewee.CharField()
    is_active = peewee.BooleanField(default=True)

    class Meta:
        database = db


class Item(peewee.Model):
    title = peewee.CharField(index=True)
    description = peewee.CharField(index=True)
    owner = peewee.ForeignKeyField(User, backref="items")

    class Meta:

有关更多详细信息，请返回教程中的安全部分。

在这里，我们只关注数据库的工具和机制。

///

/// tip

这里不是将每个关键字参数传递给Item并从Pydantic模型中读取每个参数，而是先生成一个字典，其中包含Pydantic模型的数据：

`item.dict()`

然后我们将dict的键值对 作为关键字参数传递给 SQLAlchemy `Item`：

`Item(**item.dict())`

然后我们传递 Pydantic模型未提供的额外关键字参数`owner_id`：

`Item(**item.dict(), owner_id=user_id)`

///

## 主**FastAPI**应用程序

            // System.out.println(resultData.toString());
        }

        long margin = 5000000L;
        System.gc();
        for (int i = 0; i < 30; i++) {
            if (MemoryUtil.getUsedMemory() < current + margin) {
                break;
            }
            System.gc();
            Thread.sleep(1000L);
        }

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: str | None = Query(
        default=None,
        alias="item-query",
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
        max_length=50,
        pattern="^fixedquery$",
        deprecated=True,
    ),
):

from fastapi import FastAPI, Path, Query
from typing_extensions import Annotated

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str,
    size: Annotated[float, Query(gt=0, lt=10.5)],
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:

3. Die Datenklasse `Author` enthält eine Liste von `Item`-Datenklassen.

4. Die Datenklasse `Author` wird im `response_model`-Parameter verwendet.

5. Sie können andere Standard-Typannotationen mit Datenklassen als Requestbody verwenden.

    In diesem Fall handelt es sich um eine Liste von `Item`-Datenklassen.

2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.

3. The `Author` dataclass includes a list of `Item` dataclasses.

4. The `Author` dataclass is used as the `response_model` parameter.

5. You can use other standard type annotations with dataclasses as the request body.

    In this case, it's a list of `Item` dataclasses.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.