# Corps - Champs { #body-fields }

De la même manière que vous pouvez déclarer des validations supplémentaires et des métadonnées dans les paramètres d'une fonction de chemin d'accès avec `Query`, `Path` et `Body`, vous pouvez déclarer des validations et des métadonnées à l'intérieur des modèles Pydantic en utilisant `Field` de Pydantic.

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

D'abord, vous devez l'importer :

# 본문 - 필드 { #body-fields }

`Query`, `Path`와 `Body`를 사용해 *경로 처리 함수* 매개변수 내에서 추가적인 검증이나 메타데이터를 선언한 것처럼 Pydantic의 `Field`를 사용하여 모델 내에서 검증과 메타데이터를 선언할 수 있습니다.

## `Field` 임포트 { #import-field }

먼저 이를 임포트해야 합니다:

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

/// warning | 경고

`Field`는 다른 것들처럼 (`Query`, `Path`, `Body` 등) `fastapi`에서가 아닌 `pydantic`에서 바로 임포트 되는 점에 주의하세요.

///

## 모델 어트리뷰트 선언 { #declare-model-attributes }

        assertSame(fields, result);
    }

    @Test
    public void test_setResponseFields() {
        String[] fields = { "field1", "field2", "field3" };
        queryFieldConfig.setResponseFields(fields);

        assertSame(fields, queryFieldConfig.responseFields);
    }

    @Test
    public void test_getScrollResponseFields() {
        String[] fields = { "scroll1", "scroll2", "scroll3" };

    }

    /**
     * Test that setting search fields creates both array and Set.
     */
    @Test
    public void test_setSearchFields_createsSet() {
        String[] fields = { "field1", "field2", "field3" };
        queryFieldConfig.setSearchFields(fields);

        // Verify array is set
        assertNotNull(queryFieldConfig.searchFields);
        assertSame(fields, queryFieldConfig.searchFields);

				// Note: Duplicate Columns
				{Field: &schema.Field{Name: "FieldD"}},
			},
		},
		{
			Name:  "uniq_field_e1_e2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{
				{Field: &schema.Field{Name: "FieldE1"}},
				{Field: &schema.Field{Name: "FieldE2"}},
			},
		},
		{
			Name:  "uniq_field_f1_f2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{

        String[] roles = { "role2", "role1" };
        String[] fields = { "field2", "field1" };
        String[] excludes = { "exclude2", "exclude1" };

        String result1 = popularWordHelper.getCacheKey(seed, tags, roles, fields, excludes);
        String result2 = popularWordHelper.getCacheKey(seed, tags, roles, fields, excludes);

        assertEquals(result1, result2);
    }

    @Test

        SuggestItem item1 = createItemWithFields("text", "field1", "field2");
        SuggestItem item2 = createItemWithFields("text", "field2", "field3");

        SuggestItem merged = SuggestItemMerger.merge(item1, item2);

        String[] fields = merged.getFields();
        Set<String> fieldSet = new HashSet<>(Arrays.asList(fields));

        assertEquals(3, fieldSet.size());

}

func TestValue_bytesToInt(t *testing.T) {
	type fields struct {
		value any
	}
	tests := []struct {
		name   string
		fields fields
		want   int64
		wantOK bool
	}{
		{
			name: "zero",
			fields: fields{
				value: []byte("0"),
			},
			want:   0,
			wantOK: true,
		},
		{
			name: "minuszero",
			fields: fields{
				value: []byte("-0"),
			},
			want:   0,

        List<String> readings = Arrays.asList("reading1", "reading2");
        List<String> fields = Arrays.asList("field1", "field2", "field3");
        List<String> tags = Arrays.asList("tag1", "tag2");
        List<String> roles = Arrays.asList("role1", "role2", "role3");

        elevateWord = new ElevateWord(word, boost, readings, fields, tags, roles);
        SuggestItem suggestItem = elevateWord.toSuggestItem();

    /** List of additional default fields with their boost values */
    protected List<Pair<String, Float>> additionalDefaultList = new ArrayList<>();

    /**
     * Initializes the query field configuration by loading field mappings from FessConfig.
     * This method is called after dependency injection is complete.
     * It sets up response fields, search fields, facet fields, sort fields, and other