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docs/vi/docs/features.md
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docs/uk/docs/tutorial/encoder.md
Тим самим способом ця база даних не прийматиме об'єкт типу Pydantic model (об'єкт з атрибутами), а лише `dict`. Ви можете використовувати `jsonable_encoder` для цього. Вона приймає об'єкт, такий як Pydantic model, і повертає його версію, сумісну з JSON: === "Python 3.10+" ```Python hl_lines="4 21"
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docs/ru/docs/tutorial/path-params.md
```Python hl_lines="17" {!../../../docs_src/path_params/tutorial005.py!} ``` #### Получение *значения перечисления* Можно получить фактическое значение (в данном случае - `str`) с помощью `model_name.value` или в общем случае `your_enum_member.value`: ```Python hl_lines="20" {!../../../docs_src/path_params/tutorial005.py!} ``` !!! tip "Подсказка"
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docs/zh/docs/tutorial/path-params.md
*路径参数*的值是枚举的元素。 #### 比较*枚举元素* 枚举类 `ModelName` 中的*枚举元素*支持比较操作: ```Python hl_lines="17" {!../../../docs_src/path_params/tutorial005.py!} ``` #### 获取*枚举值* 使用 `model_name.value` 或 `your_enum_member.value` 获取实际的值(本例中为**字符串**): ```Python hl_lines="20" {!../../../docs_src/path_params/tutorial005.py!} ``` !!! tip "提示" 使用 `ModelName.lenet.value` 也能获取值 `"lenet"`。
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docs/fr/docs/tutorial/path-params.md
```Python hl_lines="17" {!../../../docs_src/path_params/tutorial005.py!} ``` #### Récupérer la *valeur de l'énumération* Vous pouvez obtenir la valeur réel d'un membre (une chaîne de caractères ici), avec `model_name.value`, ou en général, `votre_membre_d'enum.value` : ```Python hl_lines="20" {!../../../docs_src/path_params/tutorial005.py!} ``` !!! tip "Astuce"
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docs/zh/docs/tutorial/body-updates.md
```Python hl_lines="34" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### 使用 Pydantic 的 `update` 参数 接下来,用 `.copy()` 为已有模型创建调用 `update` 参数的副本,该参数为包含更新数据的 `dict`。 例如,`stored_item_model.copy(update=update_data)`: ```Python hl_lines="35" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### 更新部分数据小结 简而言之,更新部分数据应: * 使用 `PATCH` 而不是 `PUT` (可选,也可以用 `PUT`); * 提取存储的数据;
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docs/en/docs/how-to/async-sql-encode-databases.md
``` !!! info In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`. The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2. !!! note
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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/en/docs/tutorial/testing.md
!!! info Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models. If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}. ## Run it
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docs/de/docs/advanced/openapi-callbacks.md
* Sie sollte wahrscheinlich eine Deklaration des Bodys enthalten, die sie erhalten soll, z. B. `body: InvoiceEvent`. * Und sie könnte auch eine Deklaration der Response enthalten, die zurückgegeben werden soll, z. B. `response_model=InvoiceEventReceived`. ```Python hl_lines="16-18 21-22 28-32" {!../../../docs_src/openapi_callbacks/tutorial001.py!} ``` Es gibt zwei Hauptunterschiede zu einer normalen *Pfadoperation*:
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