mirror of
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220 lines
8.7 KiB
Python
220 lines
8.7 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 json
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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", 30) # 默认使用最近30条历史
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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(
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self,
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question: str,
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wxid: str,
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system_prompt_override=None,
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specific_max_history=None,
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tools=None,
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tool_handler=None,
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tool_choice=None,
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tool_max_iterations: int = 10
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) -> str:
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# 获取并格式化数据库历史记录
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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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if tools and not tool_handler:
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self.LOG.warning("tools 提供但未传入 tool_handler,忽略工具配置。")
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tools = None
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try:
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final_response = self._execute_with_tools(
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api_messages=api_messages,
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tools=tools,
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tool_handler=tool_handler,
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tool_choice=tool_choice,
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tool_max_iterations=tool_max_iterations
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)
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return final_response
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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)}", exc_info=True)
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return "抱歉,处理您的请求时出现了错误"
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def _execute_with_tools(
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self,
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api_messages,
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tools=None,
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tool_handler=None,
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tool_choice=None,
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tool_max_iterations: int = 10
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) -> str:
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iterations = 0
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params_base = {"model": self.model, "stream": False}
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runtime_tools = tools if tools and isinstance(tools, list) else None
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runtime_tool_choice = tool_choice
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while True:
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params = dict(params_base)
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params["messages"] = api_messages
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if runtime_tools:
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params["tools"] = runtime_tools
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if runtime_tool_choice:
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params["tool_choice"] = runtime_tool_choice
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response = self.client.chat.completions.create(**params)
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choice = response.choices[0]
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message = choice.message
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finish_reason = choice.finish_reason
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if (
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runtime_tools
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and message
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and getattr(message, "tool_calls", None)
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and finish_reason == "tool_calls"
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and tool_handler
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):
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iterations += 1
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api_messages.append({
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"role": "assistant",
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"content": message.content or "",
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"tool_calls": message.tool_calls
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})
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if tool_max_iterations is not None and iterations > max(tool_max_iterations, 0):
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api_messages.append({
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"role": "system",
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"content": "你已经达到允许的最大搜索次数,请停止继续调用搜索工具,根据现有信息完成回答。"
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})
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runtime_tool_choice = "none"
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continue
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for tool_call in message.tool_calls:
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tool_name = tool_call.function.name
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raw_arguments = tool_call.function.arguments or "{}"
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try:
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parsed_arguments = json.loads(raw_arguments)
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except json.JSONDecodeError:
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parsed_arguments = {"_raw": raw_arguments}
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try:
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tool_output = tool_handler(tool_name, parsed_arguments)
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except Exception as handler_exc:
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self.LOG.error(f"工具 {tool_name} 执行失败: {handler_exc}", exc_info=True)
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tool_output = json.dumps(
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{"error": f"{tool_name} failed: {handler_exc.__class__.__name__}"},
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ensure_ascii=False
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)
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if not isinstance(tool_output, str):
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tool_output = json.dumps(tool_output, ensure_ascii=False)
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api_messages.append({
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"role": "tool",
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"tool_call_id": tool_call.id,
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"content": tool_output
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})
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runtime_tool_choice = None
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continue
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return message.content if message and message.content else ""
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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
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