180 lines
7.7 KiB
Python
180 lines
7.7 KiB
Python
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from typing import Any
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from langchain_core.messages import AIMessage, ToolMessage
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from langchain_openai import ChatOpenAI
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from langgraph.checkpoint.memory import MemorySaver
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from langgraph.prebuilt import create_react_agent
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import logging
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import sys
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import os
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# 添加父目录到路径以导入config_loader
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from config_loader import get_config_loader
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from tools import (
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get_purifier_status,
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set_purifier_power,
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set_purifier_mode,
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set_purifier_fan_level,
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set_purifier_led,
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set_purifier_alarm,
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set_purifier_child_lock
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)
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memory = MemorySaver()
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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class AirPurifierAgent:
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SUPPORTED_CONTENT_TYPES = ['text', 'text/plain']
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# 默认系统提示词（备用）
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DEFAULT_SYSTEM_PROMPT = (
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'你是一个专门的桌面空气净化器控制助手（型号：zhimi-oa1）。'
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'你的唯一目的是帮助用户控制他们的桌面空气净化器。'
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'你可以帮助：开关净化器、查看空气质量（PM2.5、湿度）、调节风扇等级（1-4档）、'
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'控制LED按键亮度、提示音开关、童锁、查看滤芯寿命等。'
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'如果用户询问与空气净化器控制或空气质量无关的内容，'
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'请礼貌地说明你无法帮助处理该主题，只能协助处理与空气净化器相关的问题。'
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'不要尝试回答无关问题或将工具用于其他目的。'
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''
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'工具使用指南：'
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'1. 查询状态：当用户请求查询设备状态、空气质量、PM2.5、湿度、滤芯等信息时，'
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' 调用 get_purifier_status 获取最新状态，并用中文友好地展示关键信息。'
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' 重点关注：电源状态、PM2.5值、湿度、风扇等级、滤芯剩余寿命。'
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''
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'2. 电源控制：当用户说"打开/开启/启动净化器"时，调用 set_purifier_power(power=True)；'
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' 说"关闭/关掉净化器"时，调用 set_purifier_power(power=False)。'
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''
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'3. 工作模式：支持0=自动模式（根据PM2.5自动调节）、1=睡眠模式（低噪音）、2=手动模式（手动设置风扇等级）。'
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' 使用 set_purifier_mode(mode=0/1/2) 设置。注意：要手动设置风扇等级，设备必须先切换到手动模式（mode=2）。'
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''
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'4. 风扇等级：支持1-4档，当用户说"一档/最小风"时设为1，"二档"时设为2，'
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' "三档"时设为3，"四档/最大风/强力"时设为4，使用 set_purifier_fan_level(level=1/2/3/4)。'
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' **重要**：set_purifier_fan_level 工具会自动检查并切换到手动模式，无需手动调用 set_purifier_mode。'
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''
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'5. LED控制：当用户说"开启LED/开灯"时设为True，"关闭LED/关灯"时设为False，'
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' 使用 set_purifier_led(brightness=True/False)。'
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''
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'6. 提示音控制：当用户说"开启提示音/打开声音"时设为True，"关闭提示音/静音"时设为False，'
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' 使用 set_purifier_alarm(alarm=True/False)。'
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''
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'7. 童锁控制：当用户说"开启童锁/锁定按键"时设为True，"关闭童锁/解锁按键"时设为False，'
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' 使用 set_purifier_child_lock(child_lock=True/False)。'
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''
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'8. 智能场景建议：'
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' - 空气质量差（PM2.5>75）：建议开启并设为高速档（4档）或自动模式'
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' - 睡眠时段：建议设为睡眠模式（mode=1）或低速档（1档）+关闭LED+关闭提示音'
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' - 滤芯寿命<10%：提醒用户更换滤芯'
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' - 空气质量好（PM2.5<35）：可建议降低风扇等级、切换到自动模式或关闭以节能'
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''
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'始终用友好、简洁的中文回复用户，优先展示用户最关心的信息。'
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)
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def __init__(self):
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# 从数据库加载配置（严格模式：配置加载失败则退出）
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try:
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config_loader = get_config_loader(strict_mode=True)
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# 加载AI模型配置
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ai_config = config_loader.get_default_ai_model_config()
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self.model = ChatOpenAI(
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model=ai_config['model'],
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api_key=ai_config['api_key'],
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base_url=ai_config['api_base'],
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temperature=ai_config['temperature'],
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)
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# 加载系统提示词
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system_prompt = config_loader.get_agent_prompt('air_cleaner')
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self.SYSTEM_PROMPT = system_prompt
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except Exception as e:
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logger.error(f"❌ 配置加载失败: {e}")
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logger.error("⚠️ 请确保:")
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logger.error(" 1. StarRocks 数据库已启动")
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logger.error(" 2. 已执行数据库初始化脚本: data/init_config.sql 和 data/ai_config.sql")
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logger.error(" 3. config.yaml 中的数据库连接配置正确")
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raise SystemExit(1) from e
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self.tools = [
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get_purifier_status,
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set_purifier_power,
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set_purifier_mode,
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set_purifier_fan_level,
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set_purifier_led,
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set_purifier_alarm,
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set_purifier_child_lock
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]
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self.graph = create_react_agent(
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self.model,
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tools=self.tools,
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checkpointer=memory,
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prompt=self.SYSTEM_PROMPT,
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)
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async def invoke(self, query, context_id) -> dict[str, Any]:
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"""非流式调用，直接返回最终结果"""
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inputs = {'messages': [('user', query)]}
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config = {'configurable': {'thread_id': context_id}}
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# 直接调用invoke，不使用stream
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result = self.graph.invoke(inputs, config)
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return self.get_agent_response(config)
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def _extract_text_from_message(self, msg: AIMessage | ToolMessage | Any) -> str:
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try:
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content = getattr(msg, 'content', None)
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if isinstance(content, str):
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return content
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if isinstance(content, list):
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parts = []
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for part in content:
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if isinstance(part, dict) and 'text' in part:
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parts.append(part['text'])
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if parts:
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return '\n'.join(parts)
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except Exception:
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pass
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return ''
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def get_agent_response(self, config):
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current_state = self.graph.get_state(config)
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messages = current_state.values.get('messages') if hasattr(current_state, 'values') else None
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# 优先返回最近一次工具消息内容
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if isinstance(messages, list) and messages:
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for msg in reversed(messages):
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if isinstance(msg, ToolMessage):
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tool_text = self._extract_text_from_message(msg)
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if tool_text:
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return {
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'is_task_complete': True,
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'require_user_input': False,
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'content': tool_text,
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}
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# 回退到最后一条 AI 消息
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final_text = ''
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if isinstance(messages, list) and messages:
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last_msg = messages[-1]
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final_text = self._extract_text_from_message(last_msg)
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if not final_text:
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return {
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'is_task_complete': False,
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'require_user_input': True,
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'content': '当前无法处理您的请求，请稍后重试。',
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}
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return {
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'is_task_complete': True,
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'require_user_input': False,
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'content': final_text,
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}
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