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docs/en/docs/tutorial/encoder.md
# JSON Compatible Encoder There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc). For example, if you need to store it in a database. For that, **FastAPI** provides a `jsonable_encoder()` function. ## Using the `jsonable_encoder` Let's imagine that you have a database `fake_db` that only receives JSON compatible data.
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docs/en/docs/tutorial/extra-models.md
* 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. If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.
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docs/ru/docs/tutorial/body-updates.md
``` ### Использование параметра `update` в Pydantic Теперь можно создать копию существующей модели, используя `.copy()`, и передать параметр `update` с `dict`, содержащим данные для обновления. Например, `stored_item_model.copy(update=update_data)`: === "Python 3.10+" ```Python hl_lines="33" {!> ../../../docs_src/body_updates/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="35"
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docs/en/docs/tutorial/dependencies/sub-dependencies.md
And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to re-use them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.
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docs/en/docs/tutorial/path-operation-configuration.md
If you have a big application, you might end up accumulating **several tags**, and you would want to make sure you always use the **same tag** for related *path operations*. In these cases, it could make sense to store the tags in an `Enum`. **FastAPI** supports that the same way as with plain strings: ```Python hl_lines="1 8-10 13 18" {!../../../docs_src/path_operation_configuration/tutorial002b.py!} ```
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docs/en/docs/features.md
* Query parameters. * Cookies, etc. Plus all the security features from Starlette (including **session cookies**). All built as reusable tools and components that are easy to integrate with your systems, data stores, relational and NoSQL databases, etc. ### Dependency Injection
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docs/fr/docs/features.md
* Les cookies, etc. Plus toutes les fonctionnalités de sécurités venant de Starlette (incluant les **cookies de sessions**). Le tout conçu en composant réutilisable facilement intégrable à vos systèmes, data stores, base de données relationnelle ou NoSQL, etc. ### Injection de dépendances
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docs/en/docs/tutorial/dependencies/index.md
```Python commons: Annotated[dict, Depends(common_parameters)] ``` But because we are using `Annotated`, we can store that `Annotated` value in a variable and use it in multiple places: === "Python 3.10+" ```Python hl_lines="12 16 21" {!> ../../../docs_src/dependencies/tutorial001_02_an_py310.py!} ```
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docs/en/docs/how-to/extending-openapi.md
```Python hl_lines="22-24" {!../../../docs_src/extending_openapi/tutorial001.py!} ``` ### Cache the OpenAPI schema You can use the property `.openapi_schema` as a "cache", to store your generated schema. That way, your application won't have to generate the schema every time a user opens your API docs. It will be generated only once, and then the same cached schema will be used for the next requests.
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docs/em/docs/tutorial/dependencies/sub-dependencies.md
``` ## ⚙️ 🎏 🔗 💗 🕰 🚥 1️⃣ 👆 🔗 📣 💗 🕰 🎏 *➡ 🛠️*, 🖼, 💗 🔗 ✔️ ⚠ 🎧-🔗, **FastAPI** 🔜 💭 🤙 👈 🎧-🔗 🕴 🕐 📍 📨. & ⚫️ 🔜 🖊 📨 💲 <abbr title="A utility/system to store computed/generated values, to re-use them instead of computing them again.">"💾"</abbr> & 🚶♀️ ⚫️ 🌐 "⚓️" 👈 💪 ⚫️ 👈 🎯 📨, ↩️ 🤙 🔗 💗 🕰 🎏 📨.
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