from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None],
        Query(
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
        ),
    ] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:

{!../../docs_src/path_operation_configuration/tutorial002.py!}
```

전달된 태그들은 OpenAPI의 스키마에 추가되며, 자동 문서 인터페이스에서 사용됩니다:

<img src="/img/tutorial/path-operation-configuration/image01.png">

## 요약과 기술

`summary`와 `description`을 추가할 수 있습니다:

```Python hl_lines="20-21"
{!../../docs_src/path_operation_configuration/tutorial003.py!}
```

## 독스트링으로 만든 기술

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel, Field

app = FastAPI()


class Item(BaseModel):
    name: str = Field(examples=["Foo"])
    description: Union[str, None] = Field(default=None, examples=["A very nice Item"])
    price: float = Field(examples=[35.4])
    tax: Union[float, None] = Field(default=None, examples=[3.2])


@app.put("/items/{item_id}")

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Image(BaseModel):
    url: str
    name: str


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


@app.put("/items/{item_id}")

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, tags=["items"])
async def create_item(item: Item):
    return item


@app.get("/items/", tags=["items"])
async def read_items():

            "type" : "keyword"
          },
          "city" : {
            "type" : "keyword"
          },
          "departmentNumber" : {
            "type" : "keyword"
          },
          "description" : {
            "type" : "keyword"
          },
          "destinationIndicator" : {
            "type" : "keyword"
          },
          "displayName" : {
            "type" : "keyword"
          },

            "/fastapi": {
                "get": {
                    "summary": "Redirect Fastapi",
                    "operationId": "redirect_fastapi_fastapi_get",
                    "responses": {"307": {"description": "Successful Response"}},
                }
            }
        },

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None],
        Query(
            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 typing import Union

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


class User(BaseModel):
    username: str
    full_name: Union[str, None] = None


@app.put("/items/{item_id}")

        "paths": {
            "/items/": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Items",