of that license document, provided that the further restriction does
not survive such relicensing or conveying.

  If you add terms to a covered work in accord with this section, you
must place, in the relevant source files, a statement of the
additional terms that apply to those files, or a notice indicating
where to find the applicable terms.

        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *
         * @param termFacet the OpenSearch Terms aggregation containing field facet data
         */
        public Field(final Terms termFacet) {

    }

    public void test_convertPhraseQuery_multipleTerms_defaultField() {
        // Test with multiple terms in default field
        PhraseQuery.Builder builder = new PhraseQuery.Builder();
        builder.add(new Term(Constants.DEFAULT_FIELD, "hello"));
        builder.add(new Term(Constants.DEFAULT_FIELD, "world"));
        PhraseQuery phraseQuery = builder.build();

    }

    private String toLowerCase(final String term) {
        return term != null ? term.toLowerCase(Locale.ROOT) : term;
    }

    /**
     * Sets the prefix used to identify regex patterns in related content terms.
     * When a term starts with this prefix, it is treated as a regular expression
     * pattern rather than an exact match term.
     *

    }

    /**
     * Converts a string to lowercase.
     *
     * @param term The string to convert.
     * @return The lowercase string.
     */
    private String toLowerCase(final String term) {
        return term != null ? term.toLowerCase(Locale.ROOT) : term;
    }

     * This method configures wildcard searches for term and queries fields, and sets up ordering.
     *
     * @param cb the condition bean for building the query
     * @param relatedQueryPager the pager containing search parameters
     */
    protected void setupListCondition(final RelatedQueryCB cb, final RelatedQueryPager relatedQueryPager) {
        if (StringUtil.isNotBlank(relatedQueryPager.term)) {

import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;

     * Gets the maximum size for alphanumeric terms from configuration.
     *
     * @return the maximum alphanumeric term size
     */
    protected int getMaxAlphanumTermSize() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        return fessConfig.getCrawlerDocumentMaxAlphanumTermSizeAsInteger();
    }

    /**
     * Gets the maximum size for symbol terms from configuration.
     *

    protected String defaultField = Constants.DEFAULT_FIELD;

    /** The analyzer used to analyze query terms */
    protected Analyzer analyzer = new WhitespaceAnalyzer();

    /** Whether to allow leading wildcards in query terms */
    protected boolean allowLeadingWildcard = true;

    /** The default operator to use between query terms */
    protected Operator defaultOperator = Operator.AND;

    /** List of filters to apply to queries */

Le fichier **FastAPI** le plus simple possible pourrait ressembler à cela  :

{* ../../docs_src/first_steps/tutorial001.py *}

Copiez ce code dans un fichier nommé `main.py`.

Démarrez le serveur :

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)