AI原生应用技术架构设计：本体模型驱动开发 #

class AIOrchestrator:
    def __init__(self, registry):
        self.registry = registry
        self.llm = ChatOpenAI(model="gpt-4")
    
    def process_intent(self, user_input, context):
        # 1. 理解用户意图
        intent = self.understand_intent(user_input)
        
        # 2. 决策路由
        route = self.route_decision(intent)
        
        # 3. 执行操作
        result = self.execute(route, intent, context)
        
        # 4. 生成响应
        response = self.generate_response(result)
        
        return response
    
    def understand_intent(self, user_input):
        # 使用LLM理解意图
        prompt = f"""
        用户输入：{user_input}
        
        请分析用户意图，提取以下信息：
        1. 操作类型（查询/创建/更新/删除）
        2. 涉及的对象
        3. 条件参数
        4. 期望结果
        
        返回JSON格式。
        """
        
        response = self.llm.predict(prompt)
        return json.loads(response)
    
    def route_decision(self, intent):
        # 决策路由逻辑
        if intent['operation'] in self.registry.fixed_apis:
            return 'fixed_api'
        elif intent['operation'] in self.registry.query_apis:
            return 'query_api'
        elif self.is_safe_sql(intent):
            return 'dynamic_sql'
        else:
            return 'text_response'

class SemanticRegistry:
    def __init__(self):
        self.objects = {}
        self.actions = {}
        self.rules = {}
        self.apis = {}
        self.tools = {}
    
    def load_ontology(self, yaml_files):
        # 加载本体模型
        for yaml_file in yaml_files:
            with open(yaml_file, 'r') as f:
                data = yaml.safe_load(f)
                self._register(data)
    
    def _register(self, data):
        # 注册对象
        if 'objects' in data:
            for obj in data['objects']:
                self.objects[obj['name']] = obj
        
        # 注册行为
        if 'actions' in data:
            for action in data['actions']:
                self.actions[action['name']] = action
        
        # 注册规则
        if 'rules' in data:
            for rule in data['rules']:
                self.rules[rule['name']] = rule
    
    def get_context_for_ai(self, intent):
        # 为AI提供上下文
        context = {
            'objects': self._get_relevant_objects(intent),
            'actions': self._get_relevant_actions(intent),
            'rules': self._get_relevant_rules(intent),
            'apis': self._get_relevant_apis(intent)
        }
        return context

class SQLWhitelistValidator:
    def __init__(self, whitelist):
        self.whitelist = whitelist
    
    def validate(self, sql, parameters):
        # 检查SQL是否在白名单中
        normalized_sql = self.normalize(sql)
        
        if normalized_sql in self.whitelist:
            # 参数验证
            if self.validate_parameters(normalized_sql, parameters):
                return True
        
        return False
    
    def normalize(self, sql):
        # 标准化SQL
        return sql.strip().lower().replace('\n', ' ')
    
    def validate_parameters(self, sql, parameters):
        # 验证参数类型和范围
        # 实现参数验证逻辑
        pass