Skip to content

取得目前使用者

🌐 AI 與人類共同完成的翻譯

此翻譯由人類指導的 AI 完成。🤝

可能會有對原意的誤解,或讀起來不自然等問題。🤖

你可以透過協助我們更好地引導 AI LLM來改進此翻譯。

英文版

在前一章,基於依賴注入系統的安全機制會把一個 token(作為 str)提供給路徑操作函式

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


@app.get("/items/")
async def read_items(token: Annotated[str, Depends(oauth2_scheme)]):
    return {"token": token}
🤓 Other versions and variants

Tip

Prefer to use the Annotated version if possible.

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


@app.get("/items/")
async def read_items(token: str = Depends(oauth2_scheme)):
    return {"token": token}

但這還不太有用。

讓它改為回傳目前使用者吧。

建立使用者模型

先建立一個 Pydantic 的使用者模型。

就像用 Pydantic 宣告請求體一樣,我們也可以在其他地方使用它:

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: Annotated[User, Depends(get_current_user)]):
    return current_user
🤓 Other versions and variants

Tip

Prefer to use the Annotated version if possible.

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: User = Depends(get_current_user)):
    return current_user

建立 get_current_user 依賴

讓我們建立一個依賴 get_current_user

記得依賴可以有子依賴嗎?

get_current_user 會依賴我們先前建立的相同 oauth2_scheme

如同先前在路徑操作中直接做的一樣,新的依賴 get_current_user 會從子依賴 oauth2_scheme 接收一個作為 strtoken

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: Annotated[User, Depends(get_current_user)]):
    return current_user
🤓 Other versions and variants

Tip

Prefer to use the Annotated version if possible.

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: User = Depends(get_current_user)):
    return current_user

取得使用者

get_current_user 會使用我們建立的(假的)工具函式,它接收一個作為 str 的 token,並回傳我們的 Pydantic User 模型:

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: Annotated[User, Depends(get_current_user)]):
    return current_user
🤓 Other versions and variants

Tip

Prefer to use the Annotated version if possible.

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: User = Depends(get_current_user)):
    return current_user

注入目前使用者

現在我們可以在路徑操作中用相同的 Depends 來使用 get_current_user

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: Annotated[User, Depends(get_current_user)]):
    return current_user
🤓 Other versions and variants

Tip

Prefer to use the Annotated version if possible.

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: User = Depends(get_current_user)):
    return current_user

注意我們把 current_user 的型別宣告為 Pydantic 的 User 模型。

這能在函式內提供自動補全與型別檢查的協助。

提示

你可能記得,請求體也會用 Pydantic 模型宣告。

這裡因為你使用了 DependsFastAPI 不會混淆。

檢查

這個依賴系統的設計讓我們可以有不同的依賴(不同的 "dependables"),都回傳 User 模型。

我們不受限於只能有一個能回傳該類型資料的依賴。

其他模型

現在你可以在路徑操作函式中直接取得目前使用者,並在依賴注入層處理安全機制,使用 Depends

而且你可以為安全需求使用任意模型或資料(本例中是 Pydantic 模型 User)。

但你不受限於某個特定的資料模型、類別或型別。

想在模型中只有 idemail 而沒有任何 username?當然可以。你可以用同樣的工具達成。

想只用一個 str?或只用一個 dict?或直接使用資料庫類別的模型實例?都可以,一樣運作。

你的應用其實沒有真人使用者登入,而是機器人、bot,或其他系統,只持有 access token?同樣沒有問題。

只要用任何你的應用需要的模型、類別或資料庫即可。FastAPI 的依賴注入系統都支援。

程式碼大小

這個範例看起來可能有點冗長。記住我們把安全、資料模型、工具函式與路徑操作混在同一個檔案中。

但重點在這裡。

安全與依賴注入相關的內容只需要寫一次。

你可以把它設計得再複雜都沒問題,仍然只需在單一位置寫一次,依然具備完整的彈性。

但你可以有成千上萬個端點(路徑操作)共用同一套安全系統。

而且它們全部(或你想要的一部分)都可以重用這些依賴,或你建立的其他依賴。

而所有這些上千個路徑操作都可以小到只要 3 行:

from typing import Annotated

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: Annotated[User, Depends(get_current_user)]):
    return current_user
🤓 Other versions and variants

Tip

Prefer to use the Annotated version if possible.

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


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


async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = fake_decode_token(token)
    return user


@app.get("/users/me")
async def read_users_me(current_user: User = Depends(get_current_user)):
    return current_user

回顧

現在你可以在路徑操作函式中直接取得目前使用者。

我們已經完成一半了。

我們只需要再新增一個路徑操作,讓使用者/用戶端實際送出 usernamepassword

下一步就會做。