})).status(ApiResult.Status.OK).result());
    }

    // POST /api/admin/pathmap/setting
    /**
     * Creates a new path mapping setting.
     *
     * @param body path mapping setting data to create
     * @return JSON response with created setting ID and status
     */
    @Execute
    public JsonResponse<ApiResult> post$setting(final CreateBody body) {
        validateApi(body, messages -> {});

                })).status(Status.OK).result());
    }

    // POST /api/admin/relatedcontent/setting
    /**
     * Creates a new related content setting.
     *
     * @param body related content setting data to create
     * @return JSON response with created setting ID and status
     */
    @Execute
    public JsonResponse<ApiResult> post$setting(final CreateBody body) {
        validateApi(body, messages -> {});

# 通用 - 如何操作 - 诀窍 { #general-how-to-recipes }

这里是一些指向文档中其他部分的链接，用于解答一般性或常见问题。

## 数据过滤 - 安全性 { #filter-data-security }

为确保不返回超过需要的数据，请阅读 [教程 - 响应模型 - 返回类型](../tutorial/response-model.md) 文档。

## 优化响应性能 - 响应模型 - 返回类型 { #optimize-response-performance-response-model-return-type }

在返回 JSON 数据时优化性能，请使用返回类型或响应模型，这样 Pydantic 会在 Rust 侧处理到 JSON 的序列化，而无需经过 Python。更多内容请阅读 [教程 - 响应模型 - 返回类型](../tutorial/response-model.md) 文档。

// that the file has no data in it, which is rather odd.
//
// As an example, if the underlying raw file contains the 10-byte data:
//
//	var compactFile = "abcdefgh"
//
// And the sparse map has the following entries:
//
//	var spd sparseDatas = []sparseEntry{
//		{Offset: 2,  Length: 5},  // Data fragment for 2..6
//		{Offset: 18, Length: 3},  // Data fragment for 18..20
//	}

@pytest.mark.parametrize("endpoint_path", ("/file_before_form", "/file_after_form"))
def test_file_form_order(endpoint_path: str, tmp_file_1: Path):
    response = client.post(
        url=endpoint_path,
        data={"city": "Thimphou"},
        files={"file": (tmp_file_1.name, tmp_file_1.read_bytes())},
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"file_content": "foo", "city": "Thimphou"}

# Maximum document cache size for data in the indexer.
indexer.data.max.document.cache.size=10000
# Maximum document request size (bytes) for data in the indexer.
indexer.data.max.document.request.size=1048576
# Maximum delete cache size for data in the indexer.
indexer.data.max.delete.cache.size=100
# Maximum redirect count for data in the indexer.
indexer.data.max.redirect.count=10

  TF_Tensor* t = TFE_TensorHandleResolve(h, status.get());
  ASSERT_EQ(16, TF_TensorByteSize(t));
  float data[4] = {0};
  memcpy(&data[0], TF_TensorData(t), TF_TensorByteSize(t));
  EXPECT_EQ(1.0, data[0]);
  EXPECT_EQ(2.0, data[1]);
  EXPECT_EQ(3.0, data[2]);
  EXPECT_EQ(4.0, data[3]);
  TF_DeleteTensor(t);
  TFE_DeleteTensorHandle(h);
  TFE_DeleteContext(ctx);
}

    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse index() {
        return asHtml(path_AdminDict_AdminDictJsp).renderWith(data -> {
            final DictionaryFile<? extends DictionaryItem>[] dictFiles = dictionaryManager.getDictionaryFiles();
            RenderDataUtil.register(data, "dictFiles", dictFiles);
        });
    }

	// ErrSubQueryRequired sub query required
	ErrSubQueryRequired = errors.New("sub query required")
	// ErrInvalidData unsupported data
	ErrInvalidData = errors.New("unsupported data")
	// ErrUnsupportedDriver unsupported driver
	ErrUnsupportedDriver = errors.New("unsupported driver")
	// ErrRegistered registered
	ErrRegistered = errors.New("registered")

The dictionary in `openapi_extra` will be deeply merged with the automatically generated OpenAPI schema for the *path operation*.

So, you could add additional data to the automatically generated schema.