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docs/en/docs/tutorial/query-param-models.md
# Query Parameter Models If you have a group of **query parameters** that are related, you can create a **Pydantic model** to declare them. This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎 /// note This is supported since FastAPI version `0.115.0`. 🤓 /// ## Query Parameters with a Pydantic Model
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docs/en/docs/tutorial/extra-models.md
# Extra Models Continuing with the previous example, it will be common to have more than one related model. This is especially the case for user models, because: * The **input model** needs to be able to have a password. * The **output model** should not have a password. * The **database model** would probably need to have a hashed password. /// danger Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.
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docs/pt/docs/tutorial/request-form-models.md
//// O **FastAPI** irá **extrair** as informações para **cada campo** dos **dados do formulário** na requisição e dar para você o modelo Pydantic que você definiu. ## Confira os Documentos Você pode verificar na UI de documentação em `/docs`: <div class="screenshot"> <img src="/img/tutorial/request-form-models/image01.png"> </div> ## Proibir Campos Extras de Formulários
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tests/test_duplicate_models_openapi.py
from fastapi import FastAPI from fastapi.testclient import TestClient from pydantic import BaseModel app = FastAPI() class Model(BaseModel): pass class Model2(BaseModel): a: Model class Model3(BaseModel): c: Model d: Model2 @app.get("/", response_model=Model3) def f(): return {"c": {}, "d": {"a": {}}} client = TestClient(app) def test_get_api_route():
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docs/de/docs/tutorial/response-model.md
Zum Beispiel könnten Sie **ein Dict zurückgeben** wollen, oder ein Datenbank-Objekt, aber **es als Pydantic-Modell deklarieren**. Auf diese Weise übernimmt das Pydantic-Modell alle Datendokumentation, -validierung, usw. für das Objekt, welches Sie zurückgeben (z. B. ein Dict oder ein Datenbank-Objekt).
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docs/en/docs/reference/openapi/models.md
# OpenAPI `models` OpenAPI Pydantic models used to generate and validate the generated OpenAPI.
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docs/pt/docs/tutorial/cookie-param-models.md
# Modelos de Parâmetros de Cookie Se você possui um grupo de **cookies** que estão relacionados, você pode criar um **modelo Pydantic** para declará-los. 🍪 Isso lhe permitiria **reutilizar o modelo** em **diversos lugares** e também declarar validações e metadata para todos os parâmetros de uma vez. 😎 /// note | Nota Isso é suportado desde a versão `0.115.0` do FastAPI. 🤓 /// /// tip | Dica
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docs/en/docs/tutorial/cookie-param-models.md
# Cookie Parameter Models If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪 This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎 /// note This is supported since FastAPI version `0.115.0`. 🤓 /// /// tip This same technique applies to `Query`, `Cookie`, and `Header`. 😎 ///
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docs/de/docs/tutorial/body-nested-models.md
Aber dieser Typ kann selbst ein anderes Pydantic-Modell sein. Sie können also tief verschachtelte JSON-„Objekte“ deklarieren, mit spezifischen Attributnamen, -typen, und -validierungen. Alles das beliebig tief verschachtelt. ### Ein Kindmodell definieren Wir können zum Beispiel ein `Image`-Modell definieren. //// tab | Python 3.10+ ```Python hl_lines="7-9"
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docs/en/docs/tutorial/body-nested-models.md
## Nested Models Each attribute of a Pydantic model has a type. But that type can itself be another Pydantic model. So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations. All that, arbitrarily nested. ### Define a submodel For example, we can define an `Image` model: //// tab | Python 3.10+
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