remove .value (#26633)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

api/core/workflow/nodes/agent/agent_node.py

@@ -252,8 +252,8 @@ class AgentNode(Node):
                     if all(isinstance(v, dict) for _, v in parameters.items()):
                         params = {}
                         for key, param in parameters.items():
-                            if param.get("auto", ParamsAutoGenerated.OPEN.value) in (
-                                ParamsAutoGenerated.CLOSE.value,
+                            if param.get("auto", ParamsAutoGenerated.OPEN) in (
+                                ParamsAutoGenerated.CLOSE,
                                 0,
                             ):
                                 value_param = param.get("value", {})
@@ -269,7 +269,7 @@ class AgentNode(Node):
                     value = cast(list[dict[str, Any]], value)
                     tool_value = []
                     for tool in value:
-                        provider_type = ToolProviderType(tool.get("type", ToolProviderType.BUILT_IN.value))
+                        provider_type = ToolProviderType(tool.get("type", ToolProviderType.BUILT_IN))
                         setting_params = tool.get("settings", {})
                         parameters = tool.get("parameters", {})
                         manual_input_params = [key for key, value in parameters.items() if value is not None]
@@ -420,7 +420,7 @@ class AgentNode(Node):
     def _fetch_memory(self, model_instance: ModelInstance) -> TokenBufferMemory | None:
         # get conversation id
         conversation_id_variable = self.graph_runtime_state.variable_pool.get(
-            ["sys", SystemVariableKey.CONVERSATION_ID.value]
+            ["sys", SystemVariableKey.CONVERSATION_ID]
         )
         if not isinstance(conversation_id_variable, StringSegment):
             return None
@@ -479,7 +479,7 @@ class AgentNode(Node):
         if meta_version and Version(meta_version) > Version("0.0.1"):
             return tools
         else:
-            return [tool for tool in tools if tool.get("type") != ToolProviderType.MCP.value]
+            return [tool for tool in tools if tool.get("type") != ToolProviderType.MCP]
 
     def _transform_message(
         self,

api/core/workflow/nodes/datasource/datasource_node.py

@@ -75,11 +75,11 @@ class DatasourceNode(Node):
 
         node_data = self._node_data
         variable_pool = self.graph_runtime_state.variable_pool
-        datasource_type_segement = variable_pool.get(["sys", SystemVariableKey.DATASOURCE_TYPE.value])
+        datasource_type_segement = variable_pool.get(["sys", SystemVariableKey.DATASOURCE_TYPE])
         if not datasource_type_segement:
             raise DatasourceNodeError("Datasource type is not set")
         datasource_type = str(datasource_type_segement.value) if datasource_type_segement.value else None
-        datasource_info_segement = variable_pool.get(["sys", SystemVariableKey.DATASOURCE_INFO.value])
+        datasource_info_segement = variable_pool.get(["sys", SystemVariableKey.DATASOURCE_INFO])
         if not datasource_info_segement:
             raise DatasourceNodeError("Datasource info is not set")
         datasource_info_value = datasource_info_segement.value
@@ -267,7 +267,7 @@ class DatasourceNode(Node):
         return result
 
     def _fetch_files(self, variable_pool: VariablePool) -> list[File]:
-        variable = variable_pool.get(["sys", SystemVariableKey.FILES.value])
+        variable = variable_pool.get(["sys", SystemVariableKey.FILES])
         assert isinstance(variable, ArrayAnyVariable | ArrayAnySegment)
         return list(variable.value) if variable else []
 

api/core/workflow/nodes/http_request/node.py

@@ -234,7 +234,7 @@ class HttpRequestNode(Node):
 
         mapping = {
             "tool_file_id": tool_file.id,
-            "transfer_method": FileTransferMethod.TOOL_FILE.value,
+            "transfer_method": FileTransferMethod.TOOL_FILE,
         }
         file = file_factory.build_from_mapping(
             mapping=mapping,

api/core/workflow/nodes/iteration/iteration_node.py

@@ -95,7 +95,7 @@ class IterationNode(Node):
             "config": {
                 "is_parallel": False,
                 "parallel_nums": 10,
-                "error_handle_mode": ErrorHandleMode.TERMINATED.value,
+                "error_handle_mode": ErrorHandleMode.TERMINATED,
             },
         }
 

api/core/workflow/nodes/knowledge_index/knowledge_index_node.py

@@ -27,7 +27,7 @@ from .exc import (
 logger = logging.getLogger(__name__)
 
 default_retrieval_model = {
-    "search_method": RetrievalMethod.SEMANTIC_SEARCH.value,
+    "search_method": RetrievalMethod.SEMANTIC_SEARCH,
     "reranking_enable": False,
     "reranking_model": {"reranking_provider_name": "", "reranking_model_name": ""},
     "top_k": 2,
@@ -77,7 +77,7 @@ class KnowledgeIndexNode(Node):
             raise KnowledgeIndexNodeError("Index chunk variable is required.")
         invoke_from = variable_pool.get(["sys", SystemVariableKey.INVOKE_FROM])
         if invoke_from:
-            is_preview = invoke_from.value == InvokeFrom.DEBUGGER.value
+            is_preview = invoke_from.value == InvokeFrom.DEBUGGER
         else:
             is_preview = False
         chunks = variable.value

api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py

@@ -72,7 +72,7 @@ if TYPE_CHECKING:
 logger = logging.getLogger(__name__)
 
 default_retrieval_model = {
-    "search_method": RetrievalMethod.SEMANTIC_SEARCH.value,
+    "search_method": RetrievalMethod.SEMANTIC_SEARCH,
     "reranking_enable": False,
     "reranking_model": {"reranking_provider_name": "", "reranking_model_name": ""},
     "top_k": 4,

api/core/workflow/nodes/llm/llm_utils.py

@@ -92,7 +92,7 @@ def fetch_memory(
         return None
 
     # get conversation id
-    conversation_id_variable = variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID.value])
+    conversation_id_variable = variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID])
     if not isinstance(conversation_id_variable, StringSegment):
         return None
     conversation_id = conversation_id_variable.value
@@ -143,7 +143,7 @@ def deduct_llm_quota(tenant_id: str, model_instance: ModelInstance, usage: LLMUs
                     Provider.tenant_id == tenant_id,
                     # TODO: Use provider name with prefix after the data migration.
                     Provider.provider_name == ModelProviderID(model_instance.provider).provider_name,
-                    Provider.provider_type == ProviderType.SYSTEM.value,
+                    Provider.provider_type == ProviderType.SYSTEM,
                     Provider.quota_type == system_configuration.current_quota_type.value,
                     Provider.quota_limit > Provider.quota_used,
                 )

api/core/workflow/nodes/llm/node.py

@@ -945,7 +945,7 @@ class LLMNode(Node):
             variable_mapping["#files#"] = typed_node_data.vision.configs.variable_selector
 
         if typed_node_data.memory:
-            variable_mapping["#sys.query#"] = ["sys", SystemVariableKey.QUERY.value]
+            variable_mapping["#sys.query#"] = ["sys", SystemVariableKey.QUERY]
 
         if typed_node_data.prompt_config:
             enable_jinja = False

api/core/workflow/nodes/tool/tool_node.py

@@ -224,7 +224,7 @@ class ToolNode(Node):
         return result
 
     def _fetch_files(self, variable_pool: "VariablePool") -> list[File]:
-        variable = variable_pool.get(["sys", SystemVariableKey.FILES.value])
+        variable = variable_pool.get(["sys", SystemVariableKey.FILES])
         assert isinstance(variable, ArrayAnyVariable | ArrayAnySegment)
         return list(variable.value) if variable else []