# JSON Compatible Encoder { #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` { #using-the-jsonable-encoder }

		return e, reedsolomon.ErrMaxShardNum
	}

	e = Erasure{
		dataBlocks:   dataBlocks,
		parityBlocks: parityBlocks,
		blockSize:    blockSize,
	}

	// Encoder when needed.
	var enc reedsolomon.Encoder
	var once sync.Once
	e.encoder = func() reedsolomon.Encoder {
		once.Do(func() {
			e, err := reedsolomon.New(dataBlocks, parityBlocks, reedsolomon.WithAutoGoroutines(int(e.ShardSize())))
			if err != nil {

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.

 * <li>{@link #settingsId}: ID of the settings.</li>
 * <li>{@link #settings}: SuggestSettings instance containing configuration settings.</li>
 * <li>{@link #encoder}: Base64 encoder instance for encoding IDs.</li>
 * </ul>
 */
public class ArraySettings {
    private static final Logger logger = LogManager.getLogger(ArraySettings.class);

    /** OpenSearch client. */

 */
package jcifs.internal.dfs;

import java.nio.charset.StandardCharsets;

import jcifs.Encodable;
import jcifs.internal.util.SMBUtil;

/**
 * DFS (Distributed File System) referral request buffer encoder.
 * Creates encoded request buffers for DFS referral requests, specifying the maximum
 * referral level and target path for which DFS resolution is requested.
 *
 * @author mbechler
 */

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 { #run-it }

After that, you just need to install `pytest`.

## Convert any Data to JSON-compatible { #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 { #openapi-metadata-docs }

	values.Set(storageRESTVolume, volume)
	values.Set(storageRESTTotalVersions, strconv.Itoa(len(versions)))

	var buffer bytes.Buffer
	encoder := msgp.NewWriter(&buffer)
	for _, version := range versions {
		version.EncodeMsg(encoder)
	}
	storageLogIf(ctx, encoder.Flush())

	errs = make([]error, len(versions))

	respBody, err := client.call(ctx, storageRESTMethodDeleteVersions, values, &buffer, -1)

    private static final Base64.Encoder encoder = Base64.getEncoder();

    private static final int ID_MAX_LENGTH = 445;

    /**
     * Private constructor to prevent instantiation.
     */
    private SuggestUtil() {
    }

    /**
     * Creates a unique identifier for the given text by encoding it to a Base64 string.
     * If the encoded string exceeds the maximum allowed length, it truncates the string

This is because by default, FastAPI will inspect every item inside and make sure it is serializable as JSON, using the same [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank} explained in the tutorial. This is what allows you to return **arbitrary objects**, for example database models.