fix(core): Fix param cache error

packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/api_v1.py

@@ -814,7 +814,7 @@ def _parse_domain_type(dialogue: ConversationVo) -> Optional[str]:
             )
         else:
             spaces = knowledge_service.get_knowledge_space(
-                KnowledgeSpaceRequest(id=dialogue.select_param)
+                KnowledgeSpaceRequest(name=dialogue.select_param)
             )
         if len(spaces) == 0:
             raise ValueError(f"Knowledge space {dialogue.select_param} not found")

packages/dbgpt-core/src/dbgpt/util/configure/manager.py

@@ -661,7 +661,7 @@ class ConfigurationManager:
     def parse_description(
         cls,
         target_cls: Type[T],
-        cache_enable: bool = True,
+        cache_enable: bool = False,
         skip_base: bool = False,
         _visited: Optional[Set[str]] = None,
         _call_path: Optional[List[str]] = None,

packages/dbgpt-core/src/dbgpt/util/configure/markdown.py

@@ -201,7 +201,9 @@ class MDXDocGenerator:
         self.processed_classes.add(doc_id)
         generated_files = []
 
-        descriptions = ConfigurationManager.parse_description(cls, verbose=True)
+        descriptions = ConfigurationManager.parse_description(
+            cls, cache_enable=True, verbose=True
+        )
         cfg_type, cfg_desc = self._parse_class_metadata(cls)
 
         filename = self.generate_safe_filename(doc_id)
@@ -308,7 +310,9 @@ class MDXDocGenerator:
             return
         processed.add(class_id)
 
-        descriptions = ConfigurationManager.parse_description(cls, verbose=True)
+        descriptions = ConfigurationManager.parse_description(
+            cls, cache_enable=True, verbose=True
+        )
         for param in descriptions:
             if param.nested_fields:
                 for nested_type, nested_params in param.nested_fields.items():

packages/dbgpt-core/src/dbgpt/util/parameter_utils.py

@@ -613,79 +613,6 @@ def _get_parameter_descriptions(
 
     return ConfigurationManager.parse_description(dataclass_type)
 
-    # # Get descriptions from parent classes
-    # parent_descriptions = {}
-    # for parent in dataclass_type.__mro__[1:]:
-    #     if parent is object or not is_dataclass(parent):
-    #         continue
-    #     for parent_param in _get_parameter_descriptions(parent):
-    #         if parent_param.description:
-    #             parent_descriptions[parent_param.param_name] = parent_param.description # noqa
-    #
-    # descriptions = []
-    # for fd in fields(dataclass_type):
-    #     ext_metadata = {
-    #         k: v for k, v in fd.metadata.items() if k not in ["help", "valid_values"]
-    #     }
-    #     default_value = fd.default if fd.default != MISSING else None
-    #     if fd.name in kwargs:
-    #         default_value = kwargs[fd.name]
-    #
-    #     # Get base type information
-    #     is_array = False
-    #     type_name, sub_types = type_to_string(fd.type)
-    #     real_type_name = type_name
-    #
-    #     if type_name == "array" and sub_types:
-    #         is_array = True
-    #         real_type_name = sub_types[0]
-    #
-    #     if real_type_name == "unknown":
-    #         real_type_name = fd.type.__name__
-    #
-    #     # Check if field type is a dataclass
-    #     field_type = fd.type
-    #     nested_fields = None
-    #
-    #     if hasattr(field_type, "__origin__") and field_type.__origin__ is Union:
-    #         # Handle Optional types
-    #         field_type = field_type.__args__[0]
-    #
-    #     if is_dataclass(field_type):
-    #         # Recursively get descriptions for nested dataclass
-    #         nested_fields = _get_parameter_descriptions(
-    #             field_type, parent_field=fd.name, **kwargs
-    #         )
-    #         # Set the type name to the full path of the nested class
-    #         real_type_name = f"{field_type.__module__}.{field_type.__name__}"
-    #
-    #     required = True
-    #     if fd.default != MISSING or fd.default_factory != MISSING:
-    #         required = False
-    #
-    #     description = fd.metadata.get("help")
-    #     if not description:
-    #         description = parent_descriptions.get(fd.name)
-    #
-    #     descriptions.append(
-    #         ParameterDescription(
-    #             is_array=is_array,
-    #             param_class=f"{dataclass_type.__module__}.{dataclass_type.__name__}",
-    #             param_name=fd.name,
-    #             param_type=real_type_name,
-    #             description=description,
-    #             label=fd.metadata.get("label", fd.name),
-    #             required=required,
-    #             default_value=default_value,
-    #             valid_values=fd.metadata.get("valid_values", None),
-    #             ext_metadata=ext_metadata,
-    #             parent_field=parent_field,
-    #             nested_fields=nested_fields,
-    #         )
-    #     )
-    #
-    # return descriptions
-
 
 def _build_parameter_class(desc: List[ParameterDescription]) -> Type:
     from dbgpt.util.module_utils import import_from_string