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()
    )

        FacetInfo facetInfo = searchRequestParams.createFacetInfo(request);
        assertNotNull(facetInfo);
        assertEquals(2, facetInfo.field.length);
        assertEquals("field1", facetInfo.field[0]);
        assertEquals("field2", facetInfo.field[1]);
        assertEquals(2, facetInfo.query.length);
        assertEquals("query1", facetInfo.query[0]);
        assertEquals("query2", facetInfo.query[1]);

# 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

     */
    @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);

	}

	switch reflectValue.Kind() {
	case reflect.Map:
		results = [][]interface{}{make([]interface{}, len(fields))}
		for idx, field := range fields {
			mapValue := reflectValue.MapIndex(reflect.ValueOf(field.DBName))
			if mapValue.IsZero() {
				mapValue = reflectValue.MapIndex(reflect.ValueOf(field.Name))
			}
			results[0][idx] = mapValue.Interface()
		}

    return True


def _should_embed_body_fields(fields: list[ModelField]) -> bool:
    if not fields:
        return False
    # More than one dependency could have the same field, it would show up as multiple
    # fields but it's the same one, so count them by name
    body_param_names_set = {field.name for field in fields}
    # A top level field has to be a single field, not multiple
    if len(body_param_names_set) > 1:

      <description>Dependency collection or resolution injection.</description>
      <fields>
        <field>
          <name>field</name>
          <required>false</required>
          <version>2.0.0+</version>
          <type>String</type>
          <description>the name of the field to be injected</description>
        </field>
        <field>
          <name>pathScope</name>
          <required>false</required>

                return fields;
            }

            @Override
            public String[] getQueryAdditionalSearchFields(String... fields) {
                return fields;
            }

            @Override
            public String[] getQueryAdditionalFacetFields(String... fields) {
                return fields;
            }

            @Override

        src[srcIndex + 5] = (byte) 0x01;

        // Set 'addrEntry' and 'addrIndex' fields in superclass for the response to be stored
        Field addrEntryField = NameServicePacket.class.getDeclaredField("addrEntry");
        addrEntryField.setAccessible(true);
        addrEntryField.set(nameQueryResponse, new NbtAddress[1]);

        Field addrIndexField = NameServicePacket.class.getDeclaredField("addrIndex");

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

## Forbid Extra Form Fields { #forbid-extra-form-fields }

In some special use cases (probably not very common), you might want to **restrict** the form fields to only those declared in the Pydantic model. And **forbid** any **extra** fields.

/// note

This is supported since FastAPI version `0.114.0`. 🤓

///