if fieldStruct := modelType.Field(i); ast.IsExported(fieldStruct.Name) {
			if field := schema.ParseField(fieldStruct); field.EmbeddedSchema != nil {
				schema.Fields = append(schema.Fields, field.EmbeddedSchema.Fields...)
			} else {
				schema.Fields = append(schema.Fields, field)
			}
		}
	}

	for _, field := range schema.Fields {
		if field.DBName == "" && field.DataType != "" {

    dict[str, dict[str, Any]],
]:
    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)
    validation_fields = [field for field in fields if field.mode == "validation"]
    serialization_fields = [field for field in fields if field.mode == "serialization"]
    flat_validation_models = get_flat_models_from_fields(
        validation_fields, known_models=set()
    )

	checkUserSchema(t, user)
}

func checkUserSchema(t *testing.T, user *schema.Schema) {
	// check schema
	checkSchema(t, user, &schema.Schema{Name: "User", Table: "users"}, []string{"ID"})

	// check fields
	fields := []schema.Field{

     */
    @Test
    public void test_isSearchField_performance() {
        // Create a large set of search fields
        int fieldCount = 1000;
        String[] fields = new String[fieldCount];
        for (int i = 0; i < fieldCount; i++) {
            fields[i] = "field" + i;
        }
        queryFieldConfig.setSearchFields(fields);

        // Get all public static final fields of HtmlNext type
        Field[] fields = FessHtmlPath.class.getDeclaredFields();
        for (Field field : fields) {
            int modifiers = field.getModifiers();
            if (Modifier.isPublic(modifiers) && Modifier.isStatic(modifiers) && Modifier.isFinal(modifiers)) {
                if (field.getType().equals(HtmlNext.class)) {

      <name>Metadata</name>
      <version>1.0.0+</version>
      <fields>
        <field xml.attribute="true" xml.tagName="modelVersion">
          <name>modelVersion</name>
          <version>1.1.0+</version>
          <type>String</type>
          <description>The version of the underlying metadata model.</description>
        </field>
        <field>
          <name>groupId</name>
          <version>1.0.0+</version>

# Field name for document ID in the index.
index.field.doc_id=doc_id
# Field name for internal ID in the index.
index.field.id=_id
# Field name for version in the index.
index.field.version=_version
# Field name for sequence number in the index.
index.field.seq_no=_seq_no
# Field name for primary term in the index.
index.field.primary_term=_primary_term
# Field name for language in the index.
index.field.lang=lang

    /**
     * Parses a document and extracts suggest items based on the provided fields and converters.
     *
     * @param document The document to parse, represented as a map of field names to values.
     * @param fields The fields to extract from the document.
     * @param tagFieldNames The names of the fields that contain tags.
     * @param roleFieldName The name of the field that contains role information.

        // Should handle null fields gracefully
        assertNotNull(item);
    }

    @Test
    public void test_parseSearchWords_emptyFields() throws Exception {
        String[] words = new String[] { "test" };
        String[] fields = new String[0];

        SuggestItem item =

        // Test executing BoostQuery with a BooleanQuery inside
        BooleanQuery.Builder boolBuilder = new BooleanQuery.Builder();
        boolBuilder.add(new TermQuery(new Term("field1", "value1")), BooleanClause.Occur.MUST);
        boolBuilder.add(new TermQuery(new Term("field2", "value2")), BooleanClause.Occur.SHOULD);
        BooleanQuery boolQuery = boolBuilder.build();
        BoostQuery boostQuery = new BoostQuery(boolQuery, 2.0f);