o cBg @sddlZddlZddlmZddlmZmZmZmZddlZddl m Z ddl m Z dddde deee efdeed ee e ffd d Zd ed efd dZdS)N) is_dataclass)AnyDictOptionalUnion) BaseModelfield_definitionsroot model_namer r returncCshzddlm}||||dWSty3ddlm}i}|dur%||d<||fi||p.iYSw)zCreate a pydantic model with the given field definitions. Args: model_name: The name of the model. field_definitions: The field definitions for the model. root: Type for a root model (RootModel) r)create_model_v2r) create_modelN__root__)langchain_core.utils.pydanticr ImportErrorlangchain_core.runnables.utilsr)r r r r r v1_kwargsr_/var/www/html/development/chatbot/venv/lib/python3.10/site-packages/langgraph/utils/pydantic.pyr s   rtype_cCsht|rdSt|trt|trdSt|dr2|jD]}|tjur$dS|t jur1t j dkr1dSqdS)zCheck if a given "complex" type is supported by pydantic. This will return False for primitive types like int, str, etc. The check is meant for container types like dataclasses, TypedDicts, etc. T__orig_bases__) F) r isinstancetype issubclassrhasattrrtyping_extensions TypedDicttypingsys version_info)rbaserrris_supported_by_pydantic,s     r$)r!r dataclassesrrrrrrpydanticr pydantic.v1 BaseModelV1strrboolr$rrrrs&     !