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docs/en/docs/advanced/settings.md
//// tab | Pydantic v2 ```Python hl_lines="2 5-8 11" {!> ../../docs_src/settings/tutorial001.py!} ``` //// //// tab | Pydantic v1 /// info In Pydantic v1 you would import `BaseSettings` directly from `pydantic` instead of from `pydantic_settings`. ///
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docs/en/docs/tutorial/cookie-param-models.md
``` //// //// tab | Python 3.8+ non-Annotated /// tip Prefer to use the `Annotated` version if possible. /// ```Python hl_lines="9-12 16" {!> ../../docs_src/cookie_param_models/tutorial001.py!} ``` //// **FastAPI** will **extract** the data for **each field** from the **cookies** received in the request and give you the Pydantic model you defined. ## Check the Docs
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docs/ja/docs/tutorial/response-status-code.md
/// ## 名前を覚えるための近道 先ほどの例をもう一度見てみましょう: ```Python hl_lines="6" {!../../docs_src/response_status_code/tutorial001.py!} ``` `201`は「作成完了」のためのステータスコードです。 しかし、それぞれのコードの意味を暗記する必要はありません。 `fastapi.status`の便利な変数を利用することができます。 ```Python hl_lines="1 6" {!../../docs_src/response_status_code/tutorial002.py!} ``` それらは便利です。それらは同じ番号を保持しており、その方法ではエディタの自動補完を使用してそれらを見つけることができます。
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docs/zh/docs/tutorial/body-multiple-params.md
``` //// //// tab | Python 3.8+ non-Annotated /// tip 尽可能选择使用 `Annotated` 的版本。 /// ```Python hl_lines="19-21" {!> ../../docs_src/body_multiple_params/tutorial001.py!} ``` //// /// note 请注意,在这种情况下,将从请求体获取的 `item` 是可选的。因为它的默认值为 `None`。 /// ## 多个请求体参数 在上面的示例中,*路径操作*将期望一个具有 `Item` 的属性的 JSON 请求体,就像: ```JSON { "name": "Foo",
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docs/ja/docs/tutorial/body-multiple-params.md
まず、もちろん、`Path`と`Query`とリクエストボディのパラメータの宣言は自由に混ぜることができ、 **FastAPI** は何をするべきかを知っています。 また、デフォルトの`None`を設定することで、ボディパラメータをオプションとして宣言することもできます: ```Python hl_lines="19 20 21" {!../../docs_src/body_multiple_params/tutorial001.py!} ``` /// note | "備考" この場合、ボディから取得する`item`はオプションであることに注意してください。デフォルト値は`None`です。 /// ## 複数のボディパラメータ 上述の例では、*path operations*は`item`の属性を持つ以下のようなJSONボディを期待していました: ```JSON {
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docs/de/docs/advanced/settings.md
//// tab | Pydantic v2 ```Python hl_lines="2 5-8 11" {!> ../../docs_src/settings/tutorial001.py!} ``` //// //// tab | Pydantic v1 /// info In Pydantic v1 würden Sie `BaseSettings` direkt von `pydantic` statt von `pydantic_settings` importieren. ///
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docs/en/docs/tutorial/security/get-current-user.md
``` //// //// tab | Python 3.8+ non-Annotated /// tip Prefer to use the `Annotated` version if possible. /// ```Python hl_lines="10" {!> ../../docs_src/security/tutorial001.py!} ``` //// But that is still not that useful. Let's make it give us the current user. ## Create a user model First, let's create a Pydantic user model.
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docs/zh/docs/tutorial/debugging.md
# 调试 你可以在编辑器中连接调试器,例如使用 Visual Studio Code 或 PyCharm。 ## 调用 `uvicorn` 在你的 FastAPI 应用中直接导入 `uvicorn` 并运行: ```Python hl_lines="1 15" {!../../docs_src/debugging/tutorial001.py!} ``` ### 关于 `__name__ == "__main__"` `__name__ == "__main__"` 的主要目的是使用以下代码调用文件时执行一些代码: <div class="termy"> ```console $ python myapp.py ``` </div> 而当其它文件导入它时并不会被调用,像这样: ```Python from myapp import app ```
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tests/test_tutorial/test_header_param_models/test_tutorial001.py
from fastapi.testclient import TestClient from inline_snapshot import snapshot from tests.utils import needs_py39, needs_py310 @pytest.fixture( name="client", params=[ "tutorial001", pytest.param("tutorial001_py39", marks=needs_py39), pytest.param("tutorial001_py310", marks=needs_py310), "tutorial001_an", pytest.param("tutorial001_an_py39", marks=needs_py39),
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tests/test_tutorial/test_openapi_callbacks/test_tutorial001.py
from dirty_equals import IsDict from fastapi.testclient import TestClient from docs_src.openapi_callbacks.tutorial001 import app, invoice_notification client = TestClient(app) def test_get(): response = client.post( "/invoices/", json={"id": "fooinvoice", "customer": "John", "total": 5.3} ) assert response.status_code == 200, response.text assert response.json() == {"msg": "Invoice received"}
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