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docs/de/docs/tutorial/response-model.md
`response_model` nimmt denselben Typ entgegen, den Sie auch für ein Pydantic-Modellfeld deklarieren würden, also etwa ein Pydantic-Modell, aber es kann auch z. B. eine `list`e von Pydantic-Modellen sein, wie etwa `List[Item]`.
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docs/ru/docs/tutorial/extra-models.md
{!> ../../../docs_src/extra_models/tutorial003_py310.py!} ``` === "Python 3.8+" ```Python hl_lines="1 14-15 18-20 33" {!> ../../../docs_src/extra_models/tutorial003.py!} ``` ### `Union` в Python 3.10 В этом примере мы передаём `Union[PlaneItem, CarItem]` в качестве значения аргумента `response_model`.
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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/de/docs/tutorial/body-nested-models.md
=== "Python 3.10+" ```Python hl_lines="12" {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ## Set-Typen
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fastapi/openapi/models.py
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docs/em/docs/tutorial/response-model.md
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docs/ru/docs/tutorial/body-nested-models.md
=== "Python 3.10+" ```Python hl_lines="12" {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ## Типы множеств
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docs/ru/docs/tutorial/response-model.md
### Приоритет `response_model` Если одновременно указать аннотацию типа для ответа функции и параметр `response_model` - последний будет иметь больший приоритет и FastAPI будет использовать именно его.
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docs/en/docs/tutorial/sql-databases.md
## Create the Pydantic models Now let's check the file `sql_app/schemas.py`. !!! tip To avoid confusion between the SQLAlchemy *models* and the Pydantic *models*, we will have the file `models.py` with the SQLAlchemy models, and the file `schemas.py` with the Pydantic models. These Pydantic models define more or less a "schema" (a valid data shape).
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fastapi/openapi/utils.py
if route.callbacks: callback_flat_models.extend(get_fields_from_routes(route.callbacks)) params = get_flat_params(route.dependant) request_fields_from_routes.extend(params) flat_models = callback_flat_models + list( body_fields_from_routes + responses_from_routes + request_fields_from_routes ) return flat_models def get_openapi( *, title: str,
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