### Create data

Now create utility functions to create data.

The steps are:

* Create a SQLAlchemy model *instance* with your data.
* `add` that instance object to your database session.
* `commit` the changes to the database (so that they are saved).
* `refresh` your instance (so that it contains any new data from the database, like the generated ID).

```Python hl_lines="18-24  31-36"

        )
        for comment in comments:
            if new_translation_message in comment.body:
                already_notified_comment = comment
            elif done_translation_message in comment.body:
                already_done_comment = comment
        logging.info(
            f"Already notified comment: {already_notified_comment}, already done comment: {already_done_comment}"
        )

app = FastAPI()

router = APIRouter()


async def common_parameters(q: str, skip: int = 0, limit: int = 100):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/main-depends/")
async def main_depends(commons: dict = Depends(common_parameters)):
    return {"in": "main-depends", "params": commons}


@app.get("/decorator-depends/", dependencies=[Depends(common_parameters)])
async def decorator_depends():

from fastapi import Depends, FastAPI

app = FastAPI()


async def common_parameters(q: str | None = None, skip: int = 0, limit: int = 100):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: dict = Depends(common_parameters)):
    return commons


@app.get("/users/")
async def read_users(commons: dict = Depends(common_parameters)):

* Получении результата из вашей функции.
* Назначении результата в параметр в вашей *функции обработки пути*.

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```

Таким образом, вы пишете общий код один раз, и **FastAPI** позаботится о его вызове для ваших *операций с путями*.

* Dieses Ergebnis dem Parameter Ihrer *Pfadoperation-Funktion* zuzuweisen.

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```

    ```Python hl_lines="9"
    {!> ../../../docs_src/cookie_params/tutorial001.py!}
    ```

!!! note "Technical Details"
    `Cookie` is a "sister" class of `Path` and `Query`. It also inherits from the same common `Param` class.

    But remember that when you import `Query`, `Path`, `Cookie` and others from `fastapi`, those are actually functions that return special classes.

!!! info

* 依存関係（"dependable"）関数を正しいパラメータで呼び出します。
* 関数の結果を取得します。
* *path operation関数*のパラメータにその結果を代入してください。

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```

この方法では、共有されるコードを一度書き、**FastAPI** が*path operations*のための呼び出しを行います。

!!! check "確認"

Vous avez donc remarqué ce paradoxe d'oeuf et de la poule, comment appelle-t-on la première fonction `async` ?

Si vous utilisez **FastAPI**, pas besoin de vous en inquiéter, car cette "première" fonction sera votre *fonction de chemin* ; et **FastAPI** saura comment arriver au résultat attendu.

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