## `Annotated`인 의존성 공유하기

위의 예제에서 몇몇 작은 **코드 중복**이 있다는 것을 보았을 겁니다.

`common_parameters()`의존을 사용해야 한다면, 타입 명시와 `Depends()`와 함께 전체 매개변수를 적어야 합니다:

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

하지만 `Annotated`를 사용하고 있기에, `Annotated` 값을 변수에 저장하고 여러 장소에서 사용할 수 있습니다:

=== "Python 3.10+"

    ```Python hl_lines="12  16  21"

```

🤙 👉 📋 🔢:

```
John Doe
```

🔢 🔨 📄:

* ✊ `first_name` & `last_name`.
* 🗜 🥇 🔤 🔠 1️⃣ ↖ 💼 ⏮️ `title()`.
* <abbr title="Puts them together, as one. With the contents of one after the other.">🔢</abbr> 👫 ⏮️ 🚀 🖕.

```Python hl_lines="2"
{!../../../docs_src/python_types/tutorial001.py!}
```

### ✍ ⚫️

⚫️ 📶 🙅 📋.

✋️ 🔜 🌈 👈 👆 ✍ ⚫️ ⚪️➡️ 🖌.

    dynamicRef: Optional[str] = Field(default=None, alias="$dynamicRef")
    defs: Optional[Dict[str, "SchemaOrBool"]] = Field(default=None, alias="$defs")
    comment: Optional[str] = Field(default=None, alias="$comment")
    # Ref: JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-core.html#name-a-vocabulary-for-applying-s
    # A Vocabulary for Applying Subschemas

        self.q = q
        self.skip = skip
        self.limit = limit


@app.get("/items/")
async def read_items(commons: CommonQueryParams = Depends()):
    response = {}
    if commons.q:
        response.update({"q": commons.q})
    items = fake_items_db[commons.skip : commons.skip + commons.limit]
    response.update({"items": items})

        self.q = q
        self.skip = skip
        self.limit = limit


@app.get("/items/")
async def read_items(commons: Annotated[CommonQueryParams, Depends()]):
    response = {}
    if commons.q:
        response.update({"q": commons.q})
    items = fake_items_db[commons.skip : commons.skip + commons.limit]
    response.update({"items": items})

    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: Annotated[dict, Depends(common_parameters)]):
    return commons


@app.get("/users/")
async def read_users(commons: Annotated[dict, Depends(common_parameters)]):

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

This gives you a lot of flexibility. You can return any data type, override any data declaration or validation, etc.

## Using the `jsonable_encoder` in a `Response`

Because **FastAPI** doesn't do any change to a `Response` you return, you have to make sure it's contents are ready for it.

    id: help
    attributes:
      label: Commit to Help
      description: |
        After submitting this, I commit to one of:

          * Read open questions until I find 2 where I can help someone and add a comment to help there.
          * I already hit the "watch" button in this repository to receive notifications and I commit to help at least 2 people that ask questions in the future.

It just returns a JSON response with the result of the application's `.openapi()` method.

By default, what the method `.openapi()` does is check the property `.openapi_schema` to see if it has contents and return them.

If it doesn't, it generates them using the utility function at `fastapi.openapi.utils.get_openapi`.

And that function `get_openapi()` receives as parameters:

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Im Hintergrund erstellt das `open("./somefile.txt")` ein Objekt, das als „Kontextmanager“ bezeichnet wird.