import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;

                                                    name="search"
                                                    value="<la:message key="labels.crud_button_search" />">
                                                <em class="fa fa-search">
                                                <la:message key="labels.crud_button_search"/>

                                                    name="search"
                                                    value="<la:message key="labels.crud_button_search" />">
                                                <em class="fa fa-search">
                                                <la:message key="labels.crud_button_search"/>

*[Fess 网站搜索](https://github.com/codelibs/fess-site-search)* 是 [Google 网站搜索](https://enterprise.google.com/search/products/gss.html)的免费替代品。更多详情请参阅 [FSS JS 生成器文档](https://fss-generator.codelibs.org/docs/manual)。

## 官网

[fess.codelibs.org](https://fess.codelibs.org/)

## 问题/疑问

 */
package org.codelibs.fess.query;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.query;

import java.util.concurrent.atomic.AtomicBoolean;

import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.query.QueryProcessor.FilterChain;
import org.codelibs.fess.unit.UnitFessTestCase;

    //                                                                              Method
    //                                                                      ==============

    public void search(final SearchRequestParams searchRequestParams, final SearchRenderData data,
            final OptionalThing<FessUserBean> userBean) {
        final SystemHelper systemHelper = ComponentUtil.getSystemHelper();

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Union[str, None] = Query(
        default=None,
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
    ),
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

            if (logger.isDebugEnabled()) {
                logger.debug("Failed to process a search request.", e);
            }
            writeJsonResponse(HttpServletResponse.SC_BAD_REQUEST, e);
        } catch (final Exception e) {
            if (logger.isDebugEnabled()) {
                logger.debug("Failed to process a search request.", e);
            }