//                                                                              ======
    @Override
    public Map<String, Object> toSource() {
        Map<String, Object> sourceMap = new HashMap<>();
        if (createdBy != null) {
            addFieldToSource(sourceMap, "createdBy", createdBy);
        }
        if (createdTime != null) {

	FailedCount int64 `json:"failedReplicationCount"`
	// Total number of failed operations
	ReplicatedCount int64 `json:"replicationCount"`
	// Last bucket/object replicated.
	Bucket string `json:"bucket,omitempty"`
	Object string `json:"object,omitempty"`
}

// VersionPurgeStatusType represents status of a versioned delete or permanent delete w.r.t bucket replication

     * @return List of search result documents
     */
    protected List<Map<String, Object>> searchInternal(final String query, final SearchRequestParams params,
            final OptionalThing<FessUserBean> userBean) {
        final RankFusionProcessor rankFusionProcessor = ComponentUtil.getRankFusionProcessor();
        final List<Map<String, Object>> documentItems = rankFusionProcessor.search(query, params, userBean);

 */
public abstract class NdrObject {

    /**
     * Default constructor for NDR object
     */
    public NdrObject() {
        // Default constructor
    }

    /**
     * Encodes this NDR object into the specified buffer
     * @param dst the destination buffer for encoding
     * @throws NdrException if encoding fails
     */

 */
public abstract class NdrObject {

    /**
     * Default constructor for NDR object
     */
    public NdrObject() {
        // Default constructor
    }

    /**
     * Encodes this NDR object into the specified buffer
     * @param dst the destination buffer for encoding
     * @throws NdrException if encoding fails
     */

{
    "components": {
        "schemas": {
            "Message": {
                "title": "Message",
                "required": [
                    "message"
                ],
                "type": "object",
                "properties": {
                    "message": {
                        "title": "Message",
                        "type": "string"
                    }
                }
            },

        setElevateWordId_GreaterThan(elevateWordId, null);
    }

    public void setElevateWordId_GreaterThan(String elevateWordId, ConditionOptionCall<RangeQueryBuilder> opLambda) {
        final Object _value = elevateWordId;
        RangeQueryBuilder builder = regRangeQ("elevateWordId", ConditionKey.CK_GREATER_THAN, _value);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

  }

  @Override
  public Collection<E> create(Object... elements) {
    return reserialize(delegate.create(elements));
  }

  @SuppressWarnings("unchecked")
  static <T> T reserialize(T object) {
    try {
      ByteArrayOutputStream bytes = new ByteArrayOutputStream();
      ObjectOutputStream out = new ObjectOutputStream(bytes);
      out.writeObject(object);

So, a `datetime` object would have to be converted to a `str` containing the data in <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a>.

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

            final ResultData resultData = transformer.transform(responseData);
            final Object rawData = resultData.getRawData();
            if (rawData != null) {
                @SuppressWarnings("unchecked")
                final Map<String, Object> responseDataMap = (Map<String, Object>) rawData;
                return responseDataMap;
            } else {