* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.indexer;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.function.Consumer;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

import org.opensearch.search.SearchHit;

/**
 * Helper class for scroll-based search operations in OpenSearch.
 * Centralizes scroll logic to reduce code duplication across settings and indexer classes.
 *
 * <p>This class provides methods to perform scroll-based searches with different processing patterns:
 * <ul>

        ((TestDataService) dataService).setAccessResultList(new TestOpenSearchResultList());

        // Start indexer in separate thread
        indexUpdater.start();

        // Let it run briefly
        ThreadUtil.sleep(100);

        // Stop the indexer
        indexUpdater.setFinishCrawling(true);

        // Wait for completion with longer timeout
        indexUpdater.join(3000);

        return badWords;
    }

    /**
     * Indexes a single suggest item.
     * @param item The suggest item to index.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse index(final SuggestItem item) {
        ensureOperations();
        return indexingOps.index(index, item, badWords);
    }

    /**
     * Indexes multiple suggest items.

            suggester.indexer().addBadWord(word, apply);
        }
        refresh();
    }

    /**
     * Adds a bad word to the suggest index.
     *
     * @param badWord The bad word to add.
     * @param apply   true to apply the changes immediately.
     */
    public void addBadWord(final String badWord, final boolean apply) {
        suggester.indexer().addBadWord(badWord, apply);

        suggester.indexer().deleteBadWord("[");
        suggester.indexer().deleteBadWord("ｴﾝｼﾞﾝ");
        assertEquals(0, suggester.settings().badword().get(false).length);
    }

    @Test
    public void test_popularWords() throws Exception {
        SuggestItem[] items = getPopularWordsItemSet2();
        suggester.indexer().index(items);
        suggester.refresh();

);

suggester.indexer()
    .indexFromDocument(reader, 2, 100)  // threads=2, batch=100
    .getResponse();
```

### Index from Query Logs

```java
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;

// Add suggestions from search query logs
QueryLog queryLog = new QueryLog("user search query", "user123");
suggester.indexer().indexFromQueryLog(queryLog);
```

	</component>
	<component name="indexUpdater" class="org.codelibs.fess.indexer.IndexUpdater"
		instance="prototype">
		<!--
		<property name="maxDocumentCacheSize">5</property>
		<property name="unprocessedDocumentSize">100</property>
		<property name="threadDump">false</property>
		<postConstruct name="addBoostDocumentRule">
			<arg>
				<component class="org.codelibs.fess.indexer.BoostDocumentRule">

# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [
        "//devtools/python/indexer/...",
        "//learning/brain/keras/...",
        "//learning/brain/mlir/...",
        "//learning/brain/tfrt/...",
        "//learning/lib/ami/simple_ml/...",
        "//learning/pathways/...",

                new String[] { SuggestConstants.DEFAULT_ROLE }, new String[] { "en" }, SuggestItem.Kind.QUERY);

        suggester.indexer().index(items);
        suggester.refresh();

        PopularWordsResponse response = suggester.popularWords().setSize(10).addLanguage("en").execute().getResponse();

        assertNotNull(response);