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docs/tr/docs/features.md
* 100% test kapsayıcılığı. * 100% typeları belirtilmiş codebase. ## Pydantic özellikleri **FastAPI** ile <a href="https://docs.pydantic.dev/" class="external-link" target="_blank"><strong>Pydantic</strong></a> tamamiyle uyumlu ve üzerine kurulu. Yani FastAPI üzerine ekleme yapacağınız herhangi bir Pydantic kodu da çalışacaktır.
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docs/ko/docs/tutorial/security/get-current-user.md
```Python hl_lines="10" {!../../../docs_src/security/tutorial001.py!} ``` 그러나 아직도 유용하지 않습니다. 현재 사용자를 제공하도록 합시다. ## 유저 모델 생성하기 먼저 Pydantic 유저 모델을 만들어 보겠습니다. Pydantic을 사용하여 본문을 선언하는 것과 같은 방식으로 다른 곳에서 사용할 수 있습니다. === "파이썬 3.7 이상" ```Python hl_lines="5 12-16" {!> ../../../docs_src/security/tutorial002.py!} ``` === "파이썬 3.10 이상"
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tests/test_tutorial/test_body/test_tutorial001_py310.py
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tests/test_tutorial/test_body/test_tutorial001.py
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docs/em/docs/tutorial/extra-models.md
{!> ../../../docs_src/extra_models/tutorial001_py310.py!} ``` ### 🔃 `**user_in.dict()` #### Pydantic `.dict()` `user_in` Pydantic 🏷 🎓 `UserIn`. Pydantic 🏷 ✔️ `.dict()` 👩🔬 👈 📨 `dict` ⏮️ 🏷 💽. , 🚥 👥 ✍ Pydantic 🎚 `user_in` 💖: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` & ⤴️ 👥 🤙:
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docs/ja/docs/tutorial/extra-data-types.md
* 生成されたスキーマは`str`で`binary`の「フォーマット」持つことを指定します。 * `Decimal`: * Pythonの標準的な`Decimal`です。 * リクエストやレスポンスでは`float`と同じように扱います。 * Pydanticの全ての有効な型はこちらで確認できます: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>。 ## 例 ここでは、上記の型のいくつかを使用したパラメータを持つ*path operation*の例を示します。 ```Python hl_lines="1 2 12-16"
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docs/ru/docs/tutorial/response-model.md
`response_model` принимает те же типы, которые можно указать для какого-либо поля в модели Pydantic. Таким образом, это может быть как одиночная модель Pydantic, так и `список (list)` моделей Pydantic. Например, `List[Item]`.
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docs/en/docs/tutorial/body-fields.md
# Body - Fields The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`. ## Import `Field` First, you have to import it: === "Python 3.10+" ```Python hl_lines="4" {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!} ``` === "Python 3.9+"
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tests/test_inherited_custom_class.py
@app.get("/get_custom_class") def return_some_user(): # Test that the fix also works for custom pydantic classes return SomeCustomClass(a_uuid=MyUuid("b8799909-f914-42de-91bc-95c819218d01")) client = TestClient(app) with client: response_simple = client.get("/fast_uuid") response_pydantic = client.get("/get_custom_class") assert response_simple.json() == {
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Jul 07 17:12:13 GMT 2023 - 3K bytes - Viewed (0) -
docs/ko/docs/tutorial/schema-extra-example.md
`"json_schema_extra"`를 생성된 JSON 스키마에서 보여주고 싶은 별도의 데이터와 `examples`를 포함하는 `dict`으로 설정할 수 있습니다. === "Pydantic v1"
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