defaultList.add("keyword1");
        defaultList.add("keyword2");
        fieldLogMap.put(Constants.DEFAULT_FIELD, defaultList);
        getMockRequest().setAttribute(Constants.FIELD_LOGS, fieldLogMap);

        queryContext = new QueryContext("test", true);
        List<String> keywords = queryContext.getDefaultKeyword();
        assertEquals(2, keywords.size());

        if (map != null) {
            return map;
        }
        return Collections.emptyMap();
    }

    /**
     * Builds a query for boosting documents based on the keyword list.
     *
     * @param keywordList The list of keywords.
     * @param list The list of filter function builders to add to.
     */
    public void buildQuery(final List<String> keywordList, final List<FilterFunctionBuilder> list) {

So, we get a Pydantic model from the data in another Pydantic model.

#### Unpacking a `dict` and extra keywords { #unpacking-a-dict-and-extra-keywords }

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

...ends up being like:

      },
      "mimetype": {
        "type": "keyword"
      },
      "parent_id": {
        "type": "keyword"
      },
      "role": {
        "type": "keyword"
      },
      "label": {
        "type": "keyword"
      },
      "virtual_host": {
        "type": "keyword"
      },
      "segment": {
        "type": "keyword"
      },
      "site": {
        "type": "keyword"

{
    "properties": {
      "type": {
        "type": "keyword"
      },
      "instanceId": {
        "type": "keyword"
      },
      "hostname": {
        "type": "keyword"
      },
      "name": {
        "type": "keyword"
      },
      "status": {
        "type": "keyword"
      },
      "targetInstanceId": {
        "type": "keyword"
      },
      "data": {
        "type": "text",
        "index": false

Böylece, bir Pydantic modelindeki verilerden başka bir Pydantic model üretmiş oluruz.

#### Bir `dict`'i Unpack Etmek ve Ek Keyword'ler { #unpacking-a-dict-and-extra-keywords }

Sonrasında, aşağıdaki gibi ek keyword argümanı `hashed_password=hashed_password` eklemek:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

...şuna benzer bir sonuca dönüşür:

```Python

      },
      "mimetype": {
        "type": "keyword"
      },
      "parent_id": {
        "type": "keyword"
      },
      "role": {
        "type": "keyword"
      },
      "label": {
        "type": "keyword"
      },
      "virtual_host": {
        "type": "keyword"
      },
      "segment": {
        "type": "keyword"
      },
      "site": {
        "type": "keyword"

      },
      "mimetype": {
        "type": "keyword"
      },
      "parent_id": {
        "type": "keyword"
      },
      "role": {
        "type": "keyword"
      },
      "label": {
        "type": "keyword"
      },
      "virtual_host": {
        "type": "keyword"
      },
      "segment": {
        "type": "keyword"
      },
      "site": {
        "type": "keyword"

{
  "properties": {
    "hostname": {
      "type": "keyword"
    },
    "level": {
      "type": "keyword"
    },
    "loggerName": {
      "type": "keyword"
    },
    "message": {
      "type": "text",
      "index": false
    },
    "throwable": {
      "type": "text",
      "index": false
    },
    "timestamp": {
      "type": "date",
      "format": "epoch_millis"
    }
  }

            0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnUpdatedBy = cci("updatedBy", "updatedBy", null, null, String.class, "updatedBy", null, false, false,
            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);