from __future__ import annotations

from abc import abstractmethod
from langgraph.graph.state import CompiledStateGraph

from src.utils import logger
from src.agents.common.context import BaseContext


class BaseAgent:

    """
    定义一个基础 Agent 供 各类 graph 继承
    """

    name = "base_agent"
    description = "base_agent"

    def __init__(self, **kwargs):
        self.graph = None  # will be covered by get_graph
        self.context_schema = BaseContext

    @property
    def module_name(self) -> str:
        """Get the module name of the agent class."""
        return self.__class__.__module__.split('.')[-2]

    @property
    def id(self) -> str:
        """Get the agent's class name."""
        return self.__class__.__name__

    async def get_info(self):
        return {
            "id": self.id,
            "name": self.name if hasattr(self, "name") else "Unknown",
            "description": self.description if hasattr(self, "description") else "Unknown",
            "configurable_items": self.context_schema.get_configurable_items(),
            "has_checkpointer": await self.check_checkpointer(),
        }

    async def get_config(self):
        return self.context_schema.from_file(module_name=self.module_name)

    async def stream_values(self, messages: list[str], input_context = None, **kwargs):
        graph = await self.get_graph()
        context = self.context_schema.from_file(module_name=self.module_name, input_context=input_context)
        for event in graph.astream({"messages": messages}, stream_mode="values", context=context):
            yield event["messages"]

    async def stream_messages(self, messages: list[str], input_context = None, **kwargs):
        graph = await self.get_graph()
        context = self.context_schema.from_file(module_name=self.module_name, input_context=input_context)
        logger.debug(f"stream_messages: {context}")
        # TODO 的 Checkpointer 似乎还没有适配最新的 Context API
        async for msg, metadata in graph.astream({"messages": messages}, stream_mode="messages", context=context, config={"configurable": input_context}):
            yield msg, metadata

    async def check_checkpointer(self):
        app = await self.get_graph()
        if not hasattr(app, "checkpointer") or app.checkpointer is None:
            logger.warning(f"智能体 {self.name} 的 Graph 未配置 checkpointer，无法获取历史记录")
            return False
        return True

    async def get_history(self, user_id, thread_id) -> list[dict]:
        """获取历史消息"""
        try:
            app = await self.get_graph()

            if not await self.check_checkpointer():
                return []

            config = {"configurable": {"thread_id": thread_id, "user_id": user_id}}
            state = await app.aget_state(config)

            result = []
            if state:
                messages = state.values.get('messages', [])
                for msg in messages:
                    if hasattr(msg, 'model_dump'):
                        msg_dict = msg.model_dump()  # 转换成字典
                    else:
                        msg_dict = dict(msg) if hasattr(msg, '__dict__') else {"content": str(msg)}
                    result.append(msg_dict)

            return result

        except Exception as e:
            logger.error(f"获取智能体 {self.name} 历史消息出错: {e}")
            return []

    @abstractmethod
    async def get_graph(self, **kwargs) -> CompiledStateGraph:
        """
        获取并编译对话图实例。
        必须确保在编译时设置 checkpointer，否则将无法获取历史记录。
        例如: graph = workflow.compile(checkpointer=sqlite_checkpointer)
        """
        pass