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docs/de/docs/deployment/https.md
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docs/en/docs/reference/request.md
# `Request` class You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc. You can import it directly from `fastapi`: ```python from fastapi import Request ``` !!! tip
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docs_src/path_operation_advanced_configuration/tutorial007.py
from typing import List import yaml from fastapi import FastAPI, HTTPException, Request from pydantic import BaseModel, ValidationError app = FastAPI() class Item(BaseModel): name: str tags: List[str] @app.post( "/items/", openapi_extra={ "requestBody": { "content": {"application/x-yaml": {"schema": Item.model_json_schema()}}, "required": True, }, },
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docs/en/docs/tutorial/response-model.md
!!! info You can also use: * `response_model_exclude_defaults=True` * `response_model_exclude_none=True`
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docs/ja/docs/tutorial/background-tasks.md
詳細については、<a href="https://www.starlette.io/background/" class="external-link" target="_blank">バックグラウンドタスクに関する Starlette の公式ドキュメント</a>を参照して下さい。 ## 警告 大量のバックグラウンド計算が必要であり、必ずしも同じプロセスで実行する必要がない場合 (たとえば、メモリや変数などを共有する必要がない場合)、<a href="https://www.celeryproject.org/" class="external-link" target="_blank">Celery</a> のようなより大きな他のツールを使用するとメリットがあるかもしれません。
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docs/ja/docs/tutorial/request-forms.md
# フォームデータ JSONの代わりにフィールドを受け取る場合は、`Form`を使用します。 !!! info "情報" フォームを使うためには、まず<a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>をインストールします。 たとえば、`pip install python-multipart`のように。 ## `Form`のインポート `fastapi`から`Form`をインポートします: ```Python hl_lines="1" {!../../../docs_src/request_forms/tutorial001.py!} ``` ## `Form`のパラメータの定義
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docs/zh/docs/tutorial/body-updates.md
# 请求体 - 更新数据 ## 用 `PUT` 更新数据 更新数据请用 <a href="https://developer.mozilla.org/zh-CN/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">HTTP `PUT`</a> 操作。 把输入数据转换为以 JSON 格式存储的数据(比如,使用 NoSQL 数据库时),可以使用 `jsonable_encoder`。例如,把 `datetime` 转换为 `str`。 ```Python hl_lines="30-35" {!../../../docs_src/body_updates/tutorial001.py!} ``` `PUT` 用于接收替换现有数据的数据。 ### 关于更新数据的警告 用 `PUT` 把数据项 `bar` 更新为以下内容时: ```Python {
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docs/en/docs/tutorial/security/get-current-user.md
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.
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docs_src/app_testing/app_b/main.py
fake_secret_token = "coneofsilence" fake_db = { "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"}, "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"}, } app = FastAPI() class Item(BaseModel): id: str title: str description: Union[str, None] = None @app.get("/items/{item_id}", response_model=Item) async def read_main(item_id: str, x_token: str = Header()):
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docs/ru/docs/python-types.md
{!../../../docs_src/python_types/tutorial010.py!} ``` И снова вы получаете полную поддержку редактора: <img src="/img/python-types/image06.png"> ## Pydantic-модели <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> является Python-библиотекой для выполнения валидации данных. Вы объявляете «форму» данных как классы с атрибутами. И каждый атрибут имеет тип.
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