mirror of
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160 lines
7.0 KiB
Python
160 lines
7.0 KiB
Python
# ai_providers/ai_deepseek.py
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#! /usr/bin/env python3
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# -*- coding: utf-8 -*-
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import logging
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from datetime import datetime
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import time # 引入 time 模块
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import httpx
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from openai import APIConnectionError, APIError, AuthenticationError, OpenAI
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# 引入 MessageSummary 类型提示
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try:
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from function.func_summary import MessageSummary
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except ImportError:
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MessageSummary = object
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class DeepSeek():
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def __init__(self, conf: dict, message_summary_instance: MessageSummary = None, bot_wxid: str = None) -> None:
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key = conf.get("key")
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api = conf.get("api", "https://api.deepseek.com")
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proxy = conf.get("proxy")
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prompt = conf.get("prompt")
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self.model = conf.get("model", "deepseek-chat")
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# 读取最大历史消息数配置
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self.max_history_messages = conf.get("max_history_messages", 10) # 读取配置，默认10条
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self.LOG = logging.getLogger("DeepSeek")
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# 存储传入的实例和wxid
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self.message_summary = message_summary_instance
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self.bot_wxid = bot_wxid
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if not self.message_summary:
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self.LOG.warning("MessageSummary 实例未提供给 DeepSeek，上下文功能将不可用！")
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if not self.bot_wxid:
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self.LOG.warning("bot_wxid 未提供给 DeepSeek，可能无法正确识别机器人自身消息！")
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if proxy:
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self.client = OpenAI(api_key=key, base_url=api, http_client=httpx.Client(proxy=proxy))
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else:
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self.client = OpenAI(api_key=key, base_url=api)
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self.system_content_msg = {"role": "system", "content": prompt if prompt else "You are a helpful assistant."} # 提供默认值
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def __repr__(self):
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return 'DeepSeek'
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@staticmethod
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def value_check(conf: dict) -> bool:
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if conf:
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# 也检查 max_history_messages (虽然有默认值)
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if conf.get("key"): # and conf.get("max_history_messages") is not None: # 如果需要强制配置
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return True
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return False
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def get_answer(self, question: str, wxid: str, system_prompt_override=None, specific_max_history=None, tools=None, conversation_history=None):
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# 标准Function Call模式：使用传入的对话历史
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if conversation_history:
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api_messages = []
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# 添加系统提示
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effective_system_prompt = system_prompt_override if system_prompt_override else self.system_content_msg["content"]
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if effective_system_prompt:
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api_messages.append({"role": "system", "content": effective_system_prompt})
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# 添加当前时间提示
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now_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
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api_messages.append({"role": "system", "content": f"Current time is: {now_time}"})
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# 使用传入的对话历史
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api_messages.extend(conversation_history)
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else:
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# 传统模式：从数据库获取历史记录
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api_messages = []
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# 1. 添加系统提示
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effective_system_prompt = system_prompt_override if system_prompt_override else self.system_content_msg["content"]
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if effective_system_prompt:
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api_messages.append({"role": "system", "content": effective_system_prompt})
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# 添加当前时间提示 (可选)
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now_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
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time_mk = "Current time is: "
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api_messages.append({"role": "system", "content": f"{time_mk}{now_time}"})
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# 2. 获取并格式化历史消息
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if self.message_summary and self.bot_wxid:
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history = self.message_summary.get_messages(wxid)
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# 限制历史消息数量
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# 优先使用传入的特定限制，如果没有则使用模型默认限制
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limit_to_use = specific_max_history if specific_max_history is not None else self.max_history_messages
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self.LOG.debug(f"获取历史记录 for {wxid}, 原始条数: {len(history)}, 使用限制: {limit_to_use}")
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if limit_to_use is not None and limit_to_use > 0:
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history = history[-limit_to_use:] # 取最新的 N 条
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elif limit_to_use == 0: # 如果设置为0，则不包含历史
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history = []
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self.LOG.debug(f"应用限制后历史条数: {len(history)}")
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for msg in history:
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role = "assistant" if msg.get("sender_wxid") == self.bot_wxid else "user"
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content = msg.get('content', '')
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if content:
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if role == "user":
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sender_name = msg.get('sender', '未知用户') # 获取发送者名字
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formatted_content = f"{sender_name}: {content}" # 格式化内容
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api_messages.append({"role": role, "content": formatted_content})
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else: # 助手消息
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api_messages.append({"role": role, "content": content})
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else:
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self.LOG.warning(f"无法为 wxid={wxid} 获取历史记录，因为 message_summary 或 bot_wxid 未设置。")
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# 3. 添加当前用户问题
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if question:
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api_messages.append({"role": "user", "content": question})
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try:
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# 构建API参数
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params = {
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"model": self.model,
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"messages": api_messages, # 使用构建的消息列表
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"stream": False
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}
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# 如果提供了tools，添加到参数中
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if tools:
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params["tools"] = tools
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params["tool_choice"] = "auto" # 让AI自动决定是否调用function
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response = self.client.chat.completions.create(**params)
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# 检查是否有tool_calls
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if tools and response.choices[0].message.tool_calls:
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# 返回tool_calls而不是普通文本
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return {
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"tool_calls": [
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{
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"function": {
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"name": tool_call.function.name,
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"arguments": tool_call.function.arguments
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}
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}
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for tool_call in response.choices[0].message.tool_calls
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]
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}
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else:
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# 普通文本响应
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return response.choices[0].message.content or ""
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except (APIConnectionError, APIError, AuthenticationError) as e1:
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self.LOG.error(f"DeepSeek API 返回了错误：{str(e1)}")
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return f"DeepSeek API 返回了错误：{str(e1)}"
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except Exception as e0:
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self.LOG.error(f"发生未知错误：{str(e0)}")
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return "抱歉，处理您的请求时出现了错误"
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if __name__ == "__main__":
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# --- 测试代码需要调整 ---
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print("请注意：直接运行此文件进行测试需要模拟 MessageSummary 并提供 bot_wxid。")
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pass |