When you need `lifespan` to run in your tests, you can use the `TestClient` with a `with` statement:

{* ../../docs_src/app_testing/tutorial004_py39.py hl[9:15,18,27:28,30:32,41:43] *}


You can read more details about the ["Running lifespan in tests in the official Starlette documentation site."](https://www.starlette.dev/lifespan/#running-lifespan-in-tests)

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

혹은 더 정확히 말하자면, `user_dict`를 직접 사용하는 것은, 나중에 어떤 값이 추가되더라도 아래와 동일한 효과를 냅니다:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


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


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="******@****.***", full_name="John Doe"
    )


async def get_current_user(token: str = Depends(oauth2_scheme)):

            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"
            )
            return str(v)

        @classmethod
        def _validate(cls, __input_value: Any, _: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"

* It then takes the **response** generated by the application (by some *path operation*).
* It can do something to that **response** or run any needed code.
* Then it returns the **response**.

/// note | Technical Details

If you have dependencies with `yield`, the exit code will run *after* the middleware.

All das ist es, was FastAPI (via Starlette) befeuert und es eine so beeindruckende Performanz haben lässt.

## Sehr technische Details { #very-technical-details }

/// warning | Achtung

Das folgende können Sie wahrscheinlich überspringen.

Dies sind sehr technische Details darüber, wie **FastAPI** unter der Haube funktioniert.

        params {
            text(
                "gitUserEmail",
                "",
                label = "Git user.email Configuration",
                description = "Enter the git 'user.email' configuration to commit change under",
                display = ParameterDisplay.PROMPT,
                allowEmpty = true,
            )
            text(

    img: https://fastapi.tiangolo.com/img/sponsors/coderabbit.png
  - url: https://subtotal.com/?utm_source=fastapi&utm_medium=sponsorship&utm_campaign=open-source
    title: The Gold Standard in Retail Account Linking
    img: https://fastapi.tiangolo.com/img/sponsors/subtotal.svg
  - url: https://docs.railway.com/guides/fastapi?utm_medium=integration&utm_source=docs&utm_campaign=fastapi

PutObject API allows setting per object retention mode and retention duration using `x-amz-object-lock-mode` and `x-amz-object-lock-retain-until-date` headers. This takes precedence over any bucket object lock configuration w.r.t retention.

```sh
aws s3api put-object --bucket testbucket --key lockme --object-lock-mode GOVERNANCE --object-lock-retain-until-date "2019-11-20"  --body /etc/issue
```

from fastapi import FastAPI
from pydantic import BaseModel, EmailStr

app = FastAPI()


class UserIn(BaseModel):
    username: str
    password: str
    email: EmailStr
    full_name: str | None = None


class UserOut(BaseModel):
    username: str
    email: EmailStr
    full_name: str | None = None


@app.post("/user/", response_model=UserOut)
async def create_user(user: UserIn) -> Any: