"""LangChain 工具模块"""
from typing import List, Dict, Any, Optional
from dataclasses import dataclass

@dataclass
class ChainConfig:
    """LangChain 配置类"""
    model_name: str = "gpt-3.5-turbo"
    temperature: float = 0.7
    max_tokens: int = 1000
    prompt_template: Optional[str] = None

class BaseChain:
    """基础链式调用类"""
    
    def __init__(self, config: Optional[ChainConfig] = None):
        """
        初始化基础链
        Args:
            config: 链配置，如果为None则使用默认配置
        """
        self.config = config or ChainConfig()
    
    def run(self, input_text: str) -> str:
        """
        运行链式调用
        
        Args:
            input_text: 输入文本
            
        Returns:
            str: 处理结果
            
        Raises:
            NotImplementedError: 需要在子类中实现
        """
        raise NotImplementedError("Subclass must implement run method")

class ConversationChain(BaseChain):
    """对话链"""
    
    def __init__(self, config: Optional[ChainConfig] = None):
        super().__init__(config)
        self.history: List[Dict[str, str]] = []
    
    def run(self, input_text: str) -> str:
        """
        运行对话链
        
        Args:
            input_text: 用户输入
            
        Returns:
            str: AI响应
            
        Examples:
            >>> chain = ConversationChain()
            >>> response = chain.run("你好")
        """
        # TODO: 实现对话链逻辑
        return "这是一个示例响应"
    
    def clear_history(self):
        """清空对话历史"""
        self.history.clear()

class DocumentChain(BaseChain):
    """文档处理链"""
    
    def run(self, input_text: str) -> str:
        """
        运行文档处理链
        
        Args:
            input_text: 输入文档
            
        Returns:
            str: 处理结果
            
        Examples:
            >>> chain = DocumentChain()
            >>> summary = chain.run("这是一个长文档...")
        """
        # TODO: 实现文档处理链逻辑
        return "这是文档处理的示例结果" 