mirror of
https://github.com/AstrBotDevs/AstrBot
synced 2026-07-20 02:55:08 +08:00
214 lines
7.8 KiB
Python
214 lines
7.8 KiB
Python
import botpy
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from botpy.message import Message
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import yaml
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import asyncio
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import cores.openai.core
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import re
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from util.errors.errors import PromptExceededError
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from botpy.message import DirectMessage
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import json
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chatgpt = ""
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# db = ""
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session_dict = {}
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max_tokens = 2000
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version = "1.3"
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gpt_config = {
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'engine': '',
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'temperature': '',
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'top_p': '',
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'frequency_penalty': '',
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'presence_penalty': '',
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'max_tokens': '',
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}
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class botClient(botpy.Client):
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async def on_at_message_create(self, message: Message):
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await oper_msg(message=message, at=True)
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async def on_direct_message_create(self, message: DirectMessage):
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await oper_msg(message=message, at=False)
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def initBot(chatgpt_inst):
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global chatgpt
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chatgpt = chatgpt_inst
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# global db
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# db = db_inst
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global max_tokens
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max_tokens = int(chatgpt_inst.getConfigs()['total_tokens_limit'])
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global gpt_config
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gpt_config = chatgpt_inst.getConfigs()
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gpt_config['key'] = "***"
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with open("./configs/config.yaml", 'r', encoding='utf-8') as ymlfile:
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cfg = yaml.safe_load(ymlfile)
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if cfg['qqbot']['appid'] != '' or cfg['qqbot']['token'] != '':
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print("读取QQBot appid token 成功")
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intents = botpy.Intents(public_guild_messages=True, direct_message=True)
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client = botClient(intents=intents)
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client.run(appid=cfg['qqbot']['appid'], token=cfg['qqbot']['token'])
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else:
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raise BaseException("请在config中完善你的appid和token")
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async def get_chatGPT_response(prompts_str):
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res = ''
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usage = ''
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res, usage = await chatgpt.chat(prompts_str)
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# 处理结果文本
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chatgpt_res = res.strip()
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return res, usage
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def get_prompts_by_cache_list(cache_data_list, divide=False, paging=False, size=5, page=1):
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prompts = ""
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if paging:
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page_begin = (page-1)*size
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page_end = page*size
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if page_begin < 0:
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page_begin = 0
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if page_end > len(cache_data_list):
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page_end = len(cache_data_list)
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cache_data_list = cache_data_list[page_begin:page_end]
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for item in cache_data_list:
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prompts += str(item['prompt'])
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if divide:
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prompts += "----------\n"
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return prompts
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def get_user_usage_tokens(cache_list):
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usage_tokens = 0
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for item in cache_list:
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usage_tokens += int(item['single_tokens'])
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return usage_tokens
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async def oper_msg(message, at=False):
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print("[QQBOT] 接收到消息："+ message.content)
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qq_msg = ""
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if at:
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# 过滤用户id
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pattern = r"<@!\d+>\s+(.+)"
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# 多行匹配
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pattern = re.compile(pattern, flags=re.MULTILINE)
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result = re.search(pattern, message.content)
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if result:
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qq_msg = result.group(1).strip()
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else:
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qq_msg = message.content
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# 检测用户id，返回对应缓存的prompt
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# session_id_pattern = r"<@!\d+>"
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# session_id_result = re.search(session_id_pattern, message.content)
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session_id = message.author.id
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if session_id:
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if qq_msg == "/reset":
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session_dict[session_id] = []
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await message.reply(content=f"{message.member.nick}(id: {session_id}) 的历史记录重置成功")
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return
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if qq_msg[:4] == "/his":
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#分页，每页5条
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size_per_page = 3
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page = 1
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if qq_msg[5:]:
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page = int(qq_msg[5:])
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l = session_dict[session_id]
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max_page = len(l)//size_per_page + 1 if len(l)%size_per_page != 0 else len(l)//size_per_page
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p = get_prompts_by_cache_list(session_dict[session_id], divide=True, paging=True, size=size_per_page, page=page)
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await message.reply(content=f"{message.member.nick} 的历史记录如下：\n{p}\n第{page}页 | 共{max_page}页\n*输入/his 2跳转到第2页")
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return
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if qq_msg == "/token":
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await message.reply(content=f"{message.member.nick} 会话的token数: {get_user_usage_tokens(session_dict[session_id])}\n系统最大缓存token数: {max_tokens}")
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return
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if qq_msg == "/status":
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chatgpt_cfg_str = ""
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for k, v in gpt_config.items():
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if k == "key":
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v = "***"
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chatgpt_cfg_str += f"{k}: {v}"
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await message.reply(content=f"ChatGPT配置:\n - {chatgpt_cfg_str}\n QQChannelChatGPT 版本: {version}")
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return
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if session_id not in session_dict:
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session_dict[session_id] = []
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# 获取缓存
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cache_prompt = ''
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cache_data_list = session_dict[session_id]
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cache_prompt = get_prompts_by_cache_list(cache_data_list)
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cache_prompt += "Human: "+ qq_msg + "\nAI: "
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# 请求chatGPT获得结果
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try:
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chatgpt_res, current_usage_tokens = await get_chatGPT_response(cache_prompt)
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except (PromptExceededError) as e:
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print("出现token超限, 清空对应缓存")
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# 超过4097tokens错误，清空缓存
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session_dict[session_id] = []
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cache_data_list = []
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cache_prompt = "Human: "+ qq_msg + "\nAI: "
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chatgpt_res, current_usage_tokens = await get_chatGPT_response(cache_prompt)
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except (BaseException) as e:
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print("OpenAI API错误:(")
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await message.reply(content=f"OpenAI API错误:( 原因如下：\n{str(e)} \n*可前往github . com/Soulter/QQChannelChatGPT进行反馈")
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# 超过指定tokens， 尽可能的保留最多的条目，直到小于max_tokens
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# print("current_usage_tokens: ", current_usage_tokens)
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# print("max_tokens: ", max_tokens)
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if current_usage_tokens > max_tokens:
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t = current_usage_tokens
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cache_list = session_dict[session_id]
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index = 0
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while t > max_tokens:
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t -= int(cache_list[index]['single_tokens'])
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index += 1
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session_dict[session_id] = cache_list[index:]
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cache_data_list = session_dict[session_id]
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cache_prompt = get_prompts_by_cache_list(cache_data_list)
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# cache_prompt += chatgpt_res + "\n";
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# 添加新条目进入缓存的prompt
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if len(cache_data_list) > 0:
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single_record = {
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"prompt": f'Human: {qq_msg}\nAI: {chatgpt_res}\n',
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"usage_tokens": current_usage_tokens,
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"single_tokens": current_usage_tokens - int(cache_data_list[-1]['usage_tokens'])
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}
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else:
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single_record = {
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"prompt": f'Human: {qq_msg}\nAI: {chatgpt_res}\n',
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"usage_tokens": current_usage_tokens,
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"single_tokens": current_usage_tokens
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}
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# print(single_record)
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cache_data_list.append(single_record)
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# 写入数据库
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# try:
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# data = {
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# "data": cache_data_list
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# }
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# data_str = json.dumps(data)
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# if len(cache_data_list) > 1:
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# db.update_session(session_id, data_str)
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# else:
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# db.insert_session(session_id, data_str)
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# except Exception as e:
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# print(e)
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# print("数据库写入失败")
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session_dict[session_id] = cache_data_list
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# #检测是否存在url，如果存在，则去除url 防止被qq频道过滤
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chatgpt_res = chatgpt_res.replace(".", " . ")
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# 发送qq信息
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try:
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await message.reply(content=f"[ChatGPT]{chatgpt_res}")
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except BaseException as e:
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print("QQ频道API错误: \n"+str(e))
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f_res = ""
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for t in chatgpt_res:
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f_res += t + ' '
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await message.reply(content=f"QQ频道API错误：{str(e)}\n下面是格式化后的回答：\n{f_res}") |