}

    private
    fun queryKotlinMetadata(ctClass: CtClass, query: (KotlinClassMetadata) -> Boolean): Boolean =
        ctClass.metadata
            ?.let { KotlinClassMetadata.readStrict(it) }
            ?.let { query(it) }
            ?: false

    private
    val CtClass.metadata: Metadata?
        get() = ctAnnotation<Metadata>()?.let { annotation ->

def write_log(message: str):
    with open("log.txt", mode="a") as log:
        log.write(message)


def get_query(background_tasks: BackgroundTasks, q: str | None = None):
    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q


@app.post("/send-notification/{email}")
async def send_notification(

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

package org.codelibs.fess.app.web.api.admin.keymatch;

import org.codelibs.fess.app.web.api.admin.BaseSearchBody;

public class SearchBody extends BaseSearchBody {

    public String term;

    public String query;

          assertEquals(
              ImmutableList.copyOf(asMap.entrySet()).reverse(),
              ImmutableList.copyOf(descendingMap.entrySet()));

          for (Range<Integer> query : RANGES) {
            assertEquals(expectedAsMap.get(query), asMap.get(query));
          }
        }
      }
    }
  }


  public void testSubRangeMap() {
    for (Range<Integer> range1 : RANGES) {

    }

    protected static class WebRenderData extends SearchRenderData {

        public void register(final RenderData data) {
            RenderDataUtil.register(data, "queryId", queryId);
            RenderDataUtil.register(data, "documentItems", documentItems);
            RenderDataUtil.register(data, "facetResponse", facetResponse);

            // params.put("facetInfo", facetInfo);
            params.put("similarDocHash", similarDocHash);
            return params;
        }

        public SearchConditionBuilder query(final String query) {
            this.query = query;
            return this;
        }

        public SearchConditionBuilder searchRequestType(final SearchRequestType searchRequestType) {

There you can set:

* The "Item ID", used in the path.
* The "Token" used as a query parameter.

/// tip

Notice that the query `token` will be handled by a dependency.

///

With that you can connect the WebSocket and then send and receive messages:

<img src="/img/tutorial/websockets/image05.png">

import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.List;

import org.dbflute.exception.InvalidQueryRegisteredException;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.search.aggregations.AbstractAggregationBuilder;
import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;

import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.List;

import org.dbflute.exception.InvalidQueryRegisteredException;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.search.aggregations.AbstractAggregationBuilder;
import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;