## Converter qualquer dado para JSON


Para converter qualquer dado para um formato compatível com JSON, leia a seção [Tutorial - JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

## OpenAPI Metadata - Docs

# 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.

            assertHasAccepted(
                "Method com.example.Task.getSourceCompatibility(): Is not binary compatible. Reason for accepting this: Upgraded property" to listOf("Method return type has changed", "Method is now abstract"),
                "Method com.example.Task.setSourceCompatibility(java.lang.String): Is not binary compatible. Reason for accepting this: Upgraded property" to listOf("Method has been removed"),

## List of metrics exposed by MinIO

- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`. 
- MinIO exports Prometheus compatible data by default which is bucket centric as an authorized endpoint at `/minio/v2/metrics/bucket`.
- MinIO exports Prometheus compatible data by default which is node centric as an authorized endpoint at `/minio/v2/metrics/node`.

# Codificador Compatível com JSON

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder`

By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

Then, behind the scenes, it would put that JSON-compatible data (e.g. a `dict`) inside of a `JSONResponse` that would be used to send the response to the client.

devtoolset-7)
  LIBSTDCXX_VERSION="6.0.24"
  LIBSTDCXX_ABI="gcc4-compatible"
  ;;
devtoolset-9)
  LIBSTDCXX_VERSION="6.0.28"
  LIBSTDCXX_ABI="new"
  ;;
*)
  echo "Usage: $0 {devtoolset-7|devtoolset-9} <target-directory>"
  echo "Use 'devtoolset-7' to build a manylinux2010 compatible toolchain or 'devtoolset-9' to build a manylinux2014 compatible toolchain"
  exit 1
  ;;
esac

mkdir -p "${TARGET}"

* <a href="https://hypercorn.readthedocs.io/" class="external-link" target="_blank">Hypercorn</a> : un serveur
  ASGI compatible avec HTTP/2 et Trio entre autres fonctionnalités.
* <a href="https://github.com/django/daphne" class="external-link" target="_blank">Daphne</a> : le serveur ASGI
  conçu pour Django Channels.

Fess provides a [Google Search Appliance](https://enterprise.google.com/search/products/gsa.html) (GSA) compatible API. To enable this API, set `web.api.gsa=true` to system.properties. This will enable an enpoint at `<Fess Server Name>:8080/gsa`. When a search query is sent to `<Fess Server Name>:8080/gsa/?q=QUERY`, a GSA compatible response will be returned

## Convert any Data to JSON-compatible

To convert any data to JSON-compatible, read the docs for [Tutorial - JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

## OpenAPI Metadata - Docs