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  1. docs/en/docs/tutorial/security/get-current-user.md

    And you can use any model or data for the security requirements (in this case, a Pydantic model `User`).
    
    But you are not restricted to using some specific data model, class or type.
    
    Do you want to have an `id` and `email` and not have any `username` in your model? Sure. You can use these same tools.
    
    Do you want to just have a `str`? Or just a `dict`? Or a database class model instance directly? It all works the same way.
    
    Plain Text
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  2. docs_src/background_tasks/tutorial002_an_py310.py

            message = f"found query: {q}\n"
            background_tasks.add_task(write_log, message)
        return q
    
    
    @app.post("/send-notification/{email}")
    async def send_notification(
        email: str, background_tasks: BackgroundTasks, q: Annotated[str, Depends(get_query)]
    ):
        message = f"message to {email}\n"
        background_tasks.add_task(write_log, message)
    Python
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  3. docs_src/response_model/tutorial003_py310.py

    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:
    Python
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  4. docs_src/security/tutorial003_an_py39.py

    fake_users_db = {
        "johndoe": {
            "username": "johndoe",
            "full_name": "John Doe",
            "email": "******@****.***",
            "hashed_password": "fakehashedsecret",
            "disabled": False,
        },
        "alice": {
            "username": "alice",
            "full_name": "Alice Wonderson",
            "email": "******@****.***",
            "hashed_password": "fakehashedsecret2",
            "disabled": True,
        },
    }
    
    Python
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  5. docs_src/settings/app03_an_py39/main.py

        return config.Settings()
    
    
    @app.get("/info")
    async def info(settings: Annotated[config.Settings, Depends(get_settings)]):
        return {
            "app_name": settings.app_name,
            "admin_email": settings.admin_email,
            "items_per_user": settings.items_per_user,
    Python
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  6. docs_src/security/tutorial002_an_py39.py

    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"
        )
    
    
    Python
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  7. docs_src/security/tutorial004.py

    ALGORITHM = "HS256"
    ACCESS_TOKEN_EXPIRE_MINUTES = 30
    
    
    fake_users_db = {
        "johndoe": {
            "username": "johndoe",
            "full_name": "John Doe",
            "email": "******@****.***",
            "hashed_password": "$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW",
            "disabled": False,
        }
    }
    
    
    class Token(BaseModel):
        access_token: str
    Python
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  8. docs_src/security/tutorial004_an.py

    ALGORITHM = "HS256"
    ACCESS_TOKEN_EXPIRE_MINUTES = 30
    
    
    fake_users_db = {
        "johndoe": {
            "username": "johndoe",
            "full_name": "John Doe",
            "email": "******@****.***",
            "hashed_password": "$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW",
            "disabled": False,
        }
    }
    
    
    class Token(BaseModel):
        access_token: str
    Python
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  9. docs_src/metadata/tutorial001_1.py

        version="0.0.1",
        terms_of_service="http://example.com/terms/",
        contact={
            "name": "Deadpoolio the Amazing",
            "url": "http://x-force.example.com/contact/",
            "email": "******@****.***",
        },
        license_info={
            "name": "Apache 2.0",
            "identifier": "MIT",
        },
    )
    
    
    @app.get("/items/")
    async def read_items():
    Python
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  10. docs/ja/docs/tutorial/background-tasks.md

    ```Python hl_lines="14"
    {!../../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    `.add_task()` は以下の引数を受け取ります:
    
    * バックグラウンドで実行されるタスク関数 (`write_notification`)。
    * タスク関数に順番に渡す必要のある引数の列 (`email`)。
    * タスク関数に渡す必要のあるキーワード引数 (`message="some notification"`)。
    
    ## 依存性注入
    
    `BackgroundTasks` の使用は依存性注入システムでも機能し、様々な階層 (*path operations 関数*、依存性 (依存可能性)、サブ依存性など) で `BackgroundTasks` 型のパラメーターを宣言できます。
    
    Plain Text
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