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https://github.com/csunny/DB-GPT.git
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fix(core): Fix param cache error
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parent
73052eda75
commit
e4d91ff766
@ -814,7 +814,7 @@ def _parse_domain_type(dialogue: ConversationVo) -> Optional[str]:
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)
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else:
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spaces = knowledge_service.get_knowledge_space(
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KnowledgeSpaceRequest(id=dialogue.select_param)
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KnowledgeSpaceRequest(name=dialogue.select_param)
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)
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if len(spaces) == 0:
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raise ValueError(f"Knowledge space {dialogue.select_param} not found")
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@ -661,7 +661,7 @@ class ConfigurationManager:
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def parse_description(
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cls,
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target_cls: Type[T],
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cache_enable: bool = True,
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cache_enable: bool = False,
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skip_base: bool = False,
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_visited: Optional[Set[str]] = None,
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_call_path: Optional[List[str]] = None,
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@ -201,7 +201,9 @@ class MDXDocGenerator:
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self.processed_classes.add(doc_id)
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generated_files = []
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descriptions = ConfigurationManager.parse_description(cls, verbose=True)
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descriptions = ConfigurationManager.parse_description(
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cls, cache_enable=True, verbose=True
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)
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cfg_type, cfg_desc = self._parse_class_metadata(cls)
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filename = self.generate_safe_filename(doc_id)
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@ -308,7 +310,9 @@ class MDXDocGenerator:
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return
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processed.add(class_id)
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descriptions = ConfigurationManager.parse_description(cls, verbose=True)
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descriptions = ConfigurationManager.parse_description(
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cls, cache_enable=True, verbose=True
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)
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for param in descriptions:
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if param.nested_fields:
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for nested_type, nested_params in param.nested_fields.items():
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@ -613,79 +613,6 @@ def _get_parameter_descriptions(
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return ConfigurationManager.parse_description(dataclass_type)
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# # Get descriptions from parent classes
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# parent_descriptions = {}
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# for parent in dataclass_type.__mro__[1:]:
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# if parent is object or not is_dataclass(parent):
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# continue
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# for parent_param in _get_parameter_descriptions(parent):
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# if parent_param.description:
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# parent_descriptions[parent_param.param_name] = parent_param.description # noqa
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#
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# descriptions = []
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# for fd in fields(dataclass_type):
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# ext_metadata = {
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# k: v for k, v in fd.metadata.items() if k not in ["help", "valid_values"]
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# }
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# default_value = fd.default if fd.default != MISSING else None
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# if fd.name in kwargs:
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# default_value = kwargs[fd.name]
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#
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# # Get base type information
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# is_array = False
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# type_name, sub_types = type_to_string(fd.type)
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# real_type_name = type_name
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#
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# if type_name == "array" and sub_types:
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# is_array = True
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# real_type_name = sub_types[0]
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#
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# if real_type_name == "unknown":
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# real_type_name = fd.type.__name__
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#
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# # Check if field type is a dataclass
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# field_type = fd.type
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# nested_fields = None
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#
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# if hasattr(field_type, "__origin__") and field_type.__origin__ is Union:
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# # Handle Optional types
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# field_type = field_type.__args__[0]
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#
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# if is_dataclass(field_type):
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# # Recursively get descriptions for nested dataclass
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# nested_fields = _get_parameter_descriptions(
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# field_type, parent_field=fd.name, **kwargs
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# )
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# # Set the type name to the full path of the nested class
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# real_type_name = f"{field_type.__module__}.{field_type.__name__}"
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#
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# required = True
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# if fd.default != MISSING or fd.default_factory != MISSING:
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# required = False
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#
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# description = fd.metadata.get("help")
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# if not description:
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# description = parent_descriptions.get(fd.name)
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#
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# descriptions.append(
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# ParameterDescription(
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# is_array=is_array,
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# param_class=f"{dataclass_type.__module__}.{dataclass_type.__name__}",
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# param_name=fd.name,
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# param_type=real_type_name,
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# description=description,
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# label=fd.metadata.get("label", fd.name),
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# required=required,
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# default_value=default_value,
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# valid_values=fd.metadata.get("valid_values", None),
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# ext_metadata=ext_metadata,
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# parent_field=parent_field,
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# nested_fields=nested_fields,
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# )
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# )
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#
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# return descriptions
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def _build_parameter_class(desc: List[ParameterDescription]) -> Type:
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from dbgpt.util.module_utils import import_from_string
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