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开发流程

基础框架开发​

系统架构​

核心组件​

  1. 用户界面 (UI)
  2. 对话管理系统
  3. 角色配置系统
  4. 对话引擎
  5. 模型接口

功能实现​

对话系统​

基础对话流程​

class DialogueSystem:
    def __init__(self):
        self.history = []
        self.current_character = None
        
    async def process_message(self, message: str) -> str:
        """处理用户消息并生成回复"""
        if not self.current_character:
            return "请先选择对话角色"
            
        # 添加到历史记录
        self.history.append({"role": "user", "content": message})
        
        # 生成回复
        response = await self._generate_response(message)
        self.history.append({"role": "assistant", "content": response})
        
        return response

上下文管理​

def manage_context(self, max_length: int = 2048):
    """管理对话上下文长度"""
    context_length = sum(len(msg["content"]) for msg in self.history)
    
    while context_length > max_length and len(self.history) > 1:
        removed = self.history.pop(0)
        context_length -= len(removed["content"])

角色系统​

角色配置​

class Character:
    def __init__(self, name: str, profile: dict):
        self.name = name
        self.background = profile.get("background", "")
        self.personality = profile.get("personality", [])
        self.speaking_style = profile.get("speaking_style", {})
        
    def get_prompt(self) -> str:
        """生成角色提示词"""
        return f"""
        你现在扮演{self.name}。
        背景：{self.background}
        性格：{', '.join(self.personality)}
        说话风格：{self.speaking_style}
        """

方言处理​

class DialectProcessor:
    def __init__(self, dialect_type: str):
        self.dialect_type = dialect_type
        self.patterns = self._load_patterns()
        
    def process(self, text: str) -> str:
        """处理文本，添加方言特色"""
        for pattern, replacement in self.patterns.items():
            text = text.replace(pattern, replacement)
        return text

优化与增强​

性能优化​

def optimize_memory():
    # 清理不需要的缓存
    torch.cuda.empty_cache()
    # 使用生成器处理大量数据
    def process_large_data():
        for chunk in iter(lambda: f.read(8192), ''):
            yield process_chunk(chunk)

用户体验优化​

响应式设计​

def update_ui(ctx):
    """更新UI状态"""
    return {
        "visible": True,
        "value": response,
        "loading": False,
        "error": None
    }

错误处理​

def handle_error(func):
    @wraps(func)
    async def wrapper(*args, **kwargs):
        try:
            return await func(*args, **kwargs)
        except Exception as e:
            logger.error(f"Error: {str(e)}")
            return {
                "error": "很抱歉，系统遇到了问题，请稍后再试。",
                "details": str(e) if DEBUG else None
            }
    return wrapper