<ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/wizard/">
                                <la:message key="labels.wizard_start_title"/>
                            </la:link></li>
                            <li class="breadcrumb-item active"><la:message
                                    key="labels.wizard_crawling_config_title"/></li>

    return client


def test_get_no_item(client: TestClient):
    response = client.get("/items/foo")
    assert response.status_code == 404, response.text
    assert response.json() == {"detail": "Item not found, there's only a plumbus here"}


def test_get(client: TestClient):
    response = client.get("/items/plumbus")
    assert response.status_code == 200, response.text
    assert response.json() == "plumbus"

✋️ 👉 🦮 🎦 👆, 🌖 ⚖️ 🌘, ❔ 👫 🎯 ⚙️.

///

### ⚙️ Pydantic `exclude_unset` 🔢

🚥 👆 💚 📨 🍕 ℹ, ⚫️ 📶 ⚠ ⚙️ 🔢 `exclude_unset` Pydantic 🏷 `.dict()`.

💖 `item.dict(exclude_unset=True)`.

👈 🔜 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ 🕐❔ 🏗 `item` 🏷, 🚫 🔢 💲.

⤴️ 👆 💪 ⚙️ 👉 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ (📨 📨), 🚫 🔢 💲:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="34"
{!> ../../docs_src/body_updates/tutorial002.py!}

Если необходимо выполнить частичное обновление, то очень полезно использовать параметр `exclude_unset` в методе `.dict()` модели Pydantic.

Например, `item.dict(exclude_unset=True)`.

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:

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:

		VersioningConfigUpdatedAt: now,
		LifecycleConfigUpdatedAt:  now,
		lifecycleConfig:           &lc,
		versioningConfig:          &vcfg,
	}
	globalBucketMetadataSys.Set(bucket, meta)
	item := scannerItem{
		Path:       obj,
		bucket:     bucket,
		prefix:     "",
		objectName: obj,
		lifeCycle:  &lc,
	}

	modTime := time.Now()
	uuids := make([]uuid.UUID, 5)
	for i := range uuids {

{!../../docs_src/dataclasses/tutorial003.py!}
```

1️⃣. 👥 🗄 `field` ⚪️➡️ 🐩 `dataclasses`.

2️⃣. `pydantic.dataclasses` 💧-♻ `dataclasses`.

3️⃣. `Author` 🎻 🔌 📇 `Item` 🎻.

4️⃣. `Author` 🎻 ⚙️ `response_model` 🔢.

5️⃣. 👆 💪 ⚙️ 🎏 🐩 🆎 ✍ ⏮️ 🎻 📨 💪.

    👉 💼, ⚫️ 📇 `Item` 🎻.

6️⃣. 📥 👥 🛬 📖 👈 🔌 `items` ❔ 📇 🎻.

    FastAPI 🎯 <abbr title="converting the data to a format that can be transmitted">✍</abbr> 💽 🎻.

from typing import Union

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Union[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,