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docs_src/middleware/tutorial001.py
import time from fastapi import FastAPI, Request app = FastAPI() @app.middleware("http") async def add_process_time_header(request: Request, call_next): start_time = time.time() response = await call_next(request) process_time = time.time() - start_time response.headers["X-Process-Time"] = str(process_time)
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docs/en/docs/advanced/security/index.md
!!! tip The next sections are **not necessarily "advanced"**. And it's possible that for your use case, the solution is in one of them. ## Read the Tutorial first The next sections assume you already read the main [Tutorial - User Guide: Security](../../tutorial/security/index.md){.internal-link target=_blank}.
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docs/en/docs/tutorial/middleware.md
## Create a middleware To create a middleware you use the decorator `@app.middleware("http")` on top of a function. The middleware function receives: * The `request`. * A function `call_next` that will receive the `request` as a parameter. * This function will pass the `request` to the corresponding *path operation*. * Then it returns the `response` generated by the corresponding *path operation*.
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docs/en/docs/advanced/middleware.md
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docs_src/security/tutorial003_an_py39.py
if username in db: user_dict = db[username] return UserInDB(**user_dict) def fake_decode_token(token): # This doesn't provide any security at all # Check the next version user = get_user(fake_users_db, token) return user async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]): user = fake_decode_token(token) if not user:
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docs/en/docs/benchmarks.md
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docs/de/docs/tutorial/middleware.md
## Erstellung einer Middleware Um eine Middleware zu erstellen, verwenden Sie den Dekorator `@app.middleware("http")` über einer Funktion. Die Middleware-Funktion erhält: * Den `request`. * Eine Funktion `call_next`, die den `request` als Parameter erhält. * Diese Funktion gibt den `request` an die entsprechende *Pfadoperation* weiter. * Dann gibt es die von der entsprechenden *Pfadoperation* generierte `response` zurück.
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docs/zh/docs/tutorial/middleware.md
!!! note "技术细节" 如果你使用了 `yield` 关键字依赖, 依赖中的退出代码将在执行中间件*后*执行. 如果有任何后台任务(稍后记录), 它们将在执行中间件*后*运行. ## 创建中间件 要创建中间件你可以在函数的顶部使用装饰器 `@app.middleware("http")`. 中间件参数接收如下参数: * `request`. * 一个函数 `call_next` 它将接收 `request` 作为参数. * 这个函数将 `request` 传递给相应的 *路径操作*. * 然后它将返回由相应的*路径操作*生成的 `response`. * 然后你可以在返回 `response` 前进一步修改它. ```Python hl_lines="8-9 11 14" {!../../../docs_src/middleware/tutorial001.py!} ```
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docs/en/docs/tutorial/body-fields.md
``` `Field` works the same way as `Query`, `Path` and `Body`, it has all the same parameters, etc. !!! note "Technical Details" Actually, `Query`, `Path` and others you'll see next create objects of subclasses of a common `Param` class, which is itself a subclass of Pydantic's `FieldInfo` class. And Pydantic's `Field` returns an instance of `FieldInfo` as well.
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docs/ja/docs/tutorial/middleware.md
バックグラウンドタスク (後述) がある場合は、それらは全てのミドルウェアの *後に* 実行されます。 ## ミドルウェアの作成 ミドルウェアを作成するには、関数の上部でデコレータ `@app.middleware("http")` を使用します。 ミドルウェア関数は以下を受け取ります: * `request`。 * パラメータとして `request` を受け取る関数 `call_next`。 * この関数は、対応する*path operation*に `request` を渡します。 * 次に、対応する*path operation*によって生成された `response` を返します。 * その後、`response` を返す前にさらに `response` を変更することもできます。 ```Python hl_lines="8-9 11 14"
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