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tests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py
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tests/test_filter_pydantic_sub_model/app_pv1.py
return name async def get_model_c() -> ModelC: return ModelC(username="test-user", password="test-password") @app.get("/model/{name}", response_model=ModelA) async def get_model_a(name: str, model_c=Depends(get_model_c)):
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docs/de/docs/tutorial/body-nested-models.md
## Tief verschachtelte Modelle Sie können beliebig tief verschachtelte Modelle definieren: === "Python 3.10+" ```Python hl_lines="7 12 18 21 25" {!> ../../../docs_src/body_nested_models/tutorial007_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="9 14 20 23 27" {!> ../../../docs_src/body_nested_models/tutorial007_py39.py!} ```
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docs/pt/docs/project-generation.md
* Autenticação **Token JWT**. * Modelos **SQLAlchemy** (independente de extensões Flask, para que eles possam ser usados com _workers_ Celery diretamente). * Modelos básicos para usuários (modifique e remova conforme suas necessidades). * Migrações **Alembic**. * **CORS** (_Cross Origin Resource Sharing_ - Compartilhamento de Recursos Entre Origens). * _Worker_ **Celery** que pode importar e usar modelos e códigos do resto do _backend_ seletivamente.
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docs/pt/docs/tutorial/body-fields.md
## Declare atributos do modelo Você pode então utilizar `Field` com atributos do modelo: ```Python hl_lines="11-14" {!../../../docs_src/body_fields/tutorial001.py!} ``` `Field` funciona da mesma forma que `Query`, `Path` e `Body`, ele possui todos os mesmos parâmetros, etc. !!! note "Detalhes técnicos"
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docs/es/docs/advanced/response-directly.md
# Devolver una respuesta directamente Cuando creas una *operación de path* normalmente puedes devolver cualquier dato: un `dict`, una `list`, un modelo Pydantic, un modelo de base de datos, etc. Por defecto, **FastAPI** convertiría automáticamente ese valor devuelto a JSON usando el `jsonable_encoder` explicado en [Codificador Compatible JSON](../tutorial/encoder.md){.internal-link target=_blank}.
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docs/de/docs/project-generation.md
* **JWT-Token**-Authentifizierung. * **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können). * Grundlegende Startmodelle für Benutzer (ändern und entfernen Sie nach Bedarf). * **Alembic**-Migrationen. * **CORS** (Cross Origin Resource Sharing). * **Celery**-Worker, welche Modelle und Code aus dem Rest des Backends selektiv importieren und verwenden können.
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docs/en/docs/tutorial/response-model.md
`response_model` receives the same type you would declare for a Pydantic model field, so, it can be a Pydantic model, but it can also be, e.g. a `list` of Pydantic models, like `List[Item]`. FastAPI will use this `response_model` to do all the data documentation, validation, etc. and also to **convert and filter the output data** to its type declaration. !!! tip
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docs/ja/docs/tutorial/response-model.md
```Python hl_lines="9 11 16" {!../../../docs_src/response_model/tutorial003.py!} ``` ここでは、*path operation関数*がパスワードを含む同じ入力ユーザーを返しているにもかかわらず: ```Python hl_lines="24" {!../../../docs_src/response_model/tutorial003.py!} ``` ...`response_model`を`UserOut`と宣言したことで、パスワードが含まれていません: ```Python hl_lines="22" {!../../../docs_src/response_model/tutorial003.py!} ```
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docs/zh/docs/tutorial/response-model.md
### `response_model_include` 和 `response_model_exclude` 你还可以使用*路径操作装饰器*的 `response_model_include` 和 `response_model_exclude` 参数。 它们接收一个由属性名称 `str` 组成的 `set` 来包含(忽略其他的)或者排除(包含其他的)这些属性。 如果你只有一个 Pydantic 模型,并且想要从输出中移除一些数据,则可以使用这种快捷方法。 !!! tip 但是依然建议你使用上面提到的主意,使用多个类而不是这些参数。
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