final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String modelName = fessConfig.getLtrModelName();
        if (StringUtil.isBlank(modelName)) {
            return null;
        }
        return new QueryRescorerBuilder(new StoredLtrQueryBuilder().modelName(modelName).params(params))
                .windowSize(fessConfig.getLtrWindowSize());
    }

from enum import Enum

from fastapi import FastAPI


class ModelName(str, Enum):
    alexnet = "alexnet"
    resnet = "resnet"
    lenet = "lenet"


app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":

var globalVeeamForceSC = os.Getenv("_MINIO_VEEAM_FORCE_SC")

type systemInfo struct {
	XMLName              xml.Name `xml:"SystemInfo" json:"-"`
	ProtocolVersion      string   `xml:"ProtocolVersion"`
	ModelName            string   `xml:"ModelName"`
	ProtocolCapabilities struct {
		CapacityInfo   bool `xml:"CapacityInfo"`
		UploadSessions bool `xml:"UploadSessions"`
		IAMSTS         bool `xml:"IAMSTS"`
	} `mxl:"ProtocolCapabilities"`

  TF_Graph* parent;
  TF_Output* parent_inputs;
};

struct TF_OperationDescription {
  TF_OperationDescription(TF_Graph* g, const char* op_type,
                          const char* node_name)
      : node_builder(node_name, op_type, g->graph.op_registry()), graph(g) {}

  tensorflow::NodeBuilder node_builder;
  TF_Graph* graph;
  std::set<std::string> colocation_constraints;
};

struct TF_Operation {

///

### Einen *Pfad-Parameter* deklarieren { #declare-a-path-parameter }

Dann erstellen Sie einen *Pfad-Parameter*, der als Typ die gerade erstellte Enum-Klasse hat (`ModelName`):

{* ../../docs_src/path_params/tutorial005_py310.py hl[16] *}

### Die API-Dokumentation testen { #check-the-docs }

#### 比較「列舉成員」 { #compare-enumeration-members }

你可以把它與你建立的列舉 `ModelName` 中的「列舉成員」比較：

{* ../../docs_src/path_params/tutorial005_py310.py hl[17] *}

#### 取得「列舉值」 { #get-the-enumeration-value }

你可以用 `model_name.value` 取得實際的值（在這個例子中是 `str`），一般而言就是 `your_enum_member.value`：

{* ../../docs_src/path_params/tutorial005_py310.py hl[20] *}

/// tip

你也可以用 `ModelName.lenet.value` 取得值 `"lenet"`。

///

///

### Определение *параметра пути* { #declare-a-path-parameter }

Определите *параметр пути*, используя в аннотации типа класс перечисления (`ModelName`), созданный ранее:

{* ../../docs_src/path_params/tutorial005_py310.py hl[16] *}

### Проверьте документацию { #check-the-docs }

To access MinIO from localhost, run the below commands:

  1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}")

  2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }}

Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/

///

### Declarar un *path parameter* { #declare-a-path-parameter }

Luego crea un *path parameter* con una anotación de tipo usando la clase enum que creaste (`ModelName`):

{* ../../docs_src/path_params/tutorial005_py310.py hl[16] *}

### Revisa la documentación { #check-the-docs }

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

{* ../../docs_src/path_params/tutorial005_py310.py hl[16] *}

### Check the docs { #check-the-docs }