return analyzerSettingsIndexName;
    }

    /**
     * Returns the name of the reading analyzer for a given field and language.
     * @param field The field name.
     * @param lang The language.
     * @return The reading analyzer name.
     */
    public String getReadingAnalyzerName(final String field, final String lang) {

        String text = "test";
        String field = "content";

        List<String> readings = converter.convert(text, field);

        assertNotNull(readings);
        assertEquals(1, readings.size());
        assertEquals("TEST", readings.get(0));
    }

    @Test
    public void testConvertWithNullField() throws IOException {
        // Test convert with null field
        converter.init();

# 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

    }

    /**
     * Adds a field and text pair to the field log for tracking query terms.
     * @param field The field name.
     * @param text The query text for this field.
     */
    public void addFieldLog(final String field, final String text) {
        if (fieldLogMap == null) {
            return;
        }

        List<String> list = fieldLogMap.get(field);
        if (list == null) {

    }

    public void test_complex_field_names() {
        // Test various complex field names
        String[] fieldNames = { "simple_field", "field-with-dashes", "field.with.dots", "field_with_underscores", "fieldWithCamelCase",
                "field with spaces", "field@with#special!chars", "フィールド名", "字段名称", "필드명" };

        for (String fieldName : fieldNames) {

	Value(ctx context.Context, field *Field, dst reflect.Value, fieldValue interface{}) (interface{}, error)
}

// JSONSerializer json serializer
type JSONSerializer struct{}

// Scan implements serializer interface
func (JSONSerializer) Scan(ctx context.Context, field *Field, dst reflect.Value, dbValue interface{}) (err error) {
	fieldValue := reflect.New(field.FieldType)

	if dbValue != nil {
		var bytes []byte

                        .startObject("analyzer")
                        .field("reading_analyzer", "test_reading_analyzer")
                        .field("reading_term_analyzer", "test_reading_term_analyzer")
                        .field("reading_analyzer_ja", "test_reading_analyzer_ja")
                        .field("reading_term_analyzer_ja", "test_reading_term_analyzer_ja")
                        .endObject()

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

Notice that `Field` is imported directly from `pydantic`, not from `fastapi` as are all the rest (`Query`, `Path`, `Body`, etc).

///

    protected boolean isSortField(final String field) {
        for (final String f : sortFields) {
            if (f.equals(field)) {
                return true;
            }
        }
        return false;
    }

    /**
     * Checks if the specified field can be used for faceted search.
     *
     * @param field the field name to check
     * @return true if the field can be used for faceted search, false otherwise

## 🗄 `Field`

🥇, 👆 ✔️ 🗄 ⚫️:

{* ../../docs_src/body_fields/tutorial001.py hl[4] *}

/// warning

👀 👈 `Field` 🗄 🔗 ⚪️➡️ `pydantic`, 🚫 ⚪️➡️ `fastapi` 🌐 🎂 (`Query`, `Path`, `Body`, ♒️).

///

## 📣 🏷 🔢

👆 💪 ⤴️ ⚙️ `Field` ⏮️ 🏷 🔢:

{* ../../docs_src/body_fields/tutorial001.py hl[11:14] *}