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- # encoding:utf-8
-
- import time
-
- import openai
- import openai.error
- import requests
-
- from bot.bot import Bot
- from bot.zhipu.chat_glm_session import ChatGLMSession
- from bot.openai.open_ai_image import OpenAIImage
- from bot.session_manager import SessionManager
- from bridge.context import ContextType
- from bridge.reply import Reply, ReplyType
- from common.log import logger
- # from common.token_bucket import TokenBucket
- from config import conf, load_config
- from zhipuai import ZhipuAI
-
-
- # ZhipuAI对话模型API
- class ChatGLMBot(Bot):
- def __init__(self):
- super().__init__()
- # set the default api_key
- self.api_key = conf().get("zhipu_ai_api_key")
- if conf().get("zhipu_ai_api_base"):
- openai.api_base = conf().get("zhipu_ai_api_base")
- # if conf().get("rate_limit_chatgpt"):
- # self.tb4chatgpt = TokenBucket(conf().get("rate_limit_chatgpt", 20))
-
- self.sessions = SessionManager(ChatGLMSession, model=conf().get("model") or "chatglm")
- self.args = {
- "model": "glm-4", # 对话模型的名称
- "temperature": conf().get("temperature", 0.9), # 值在[0,1]之间，越大表示回复越具有不确定性
- # "max_tokens":4096, # 回复最大的字符数
- "top_p": conf().get("top_p", 0.7),
- # "frequency_penalty": conf().get("frequency_penalty", 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
- # "presence_penalty": conf().get("presence_penalty", 0.0), # [-2,2]之间，该值越大则更倾向于产生不同的内容
- # "request_timeout": conf().get("request_timeout", None), # 请求超时时间，openai接口默认设置为600，对于难问题一般需要较长时间
- # "timeout": conf().get("request_timeout", None), # 重试超时时间，在这个时间内，将会自动重试
- }
- self.client = ZhipuAI(api_key=self.api_key)
-
- def reply(self, query, context=None):
- # acquire reply content
- if context.type == ContextType.TEXT:
- logger.info("[CHATGLM] query={}".format(query))
-
- session_id = context["session_id"]
- reply = None
- clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
- if query in clear_memory_commands:
- self.sessions.clear_session(session_id)
- reply = Reply(ReplyType.INFO, "记忆已清除")
- elif query == "#清除所有":
- self.sessions.clear_all_session()
- reply = Reply(ReplyType.INFO, "所有人记忆已清除")
- elif query == "#更新配置":
- load_config()
- reply = Reply(ReplyType.INFO, "配置已更新")
- if reply:
- return reply
- session = self.sessions.session_query(query, session_id)
- logger.debug("[CHATGLM] session query={}".format(session.messages))
-
- api_key = context.get("openai_api_key") or openai.api_key
- model = context.get("gpt_model")
- new_args = None
- if model:
- new_args = self.args.copy()
- new_args["model"] = model
- # if context.get('stream'):
- # # reply in stream
- # return self.reply_text_stream(query, new_query, session_id)
-
- reply_content = self.reply_text(session, api_key, args=new_args)
- logger.debug(
- "[CHATGLM] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
- session.messages,
- session_id,
- reply_content["content"],
- reply_content["completion_tokens"],
- )
- )
- if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
- reply = Reply(ReplyType.ERROR, reply_content["content"])
- elif reply_content["completion_tokens"] > 0:
- self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
- reply = Reply(ReplyType.TEXT, reply_content["content"])
- else:
- reply = Reply(ReplyType.ERROR, reply_content["content"])
- logger.debug("[CHATGLM] reply {} used 0 tokens.".format(reply_content))
- return reply
- else:
- reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
- return reply
-
- def reply_text(self, session: ChatGLMSession, api_key=None, args=None, retry_count=0) -> dict:
- """
- call openai's ChatCompletion to get the answer
- :param session: a conversation session
- :param session_id: session id
- :param retry_count: retry count
- :return: {}
- """
- try:
- # if conf().get("rate_limit_chatgpt") and not self.tb4chatgpt.get_token():
- # raise openai.error.RateLimitError("RateLimitError: rate limit exceeded")
- # if api_key == None, the default openai.api_key will be used
- if args is None:
- args = self.args
- # response = openai.ChatCompletion.create(api_key=api_key, messages=session.messages, **args)
- response = self.client.chat.completions.create(messages=session.messages, **args)
- # logger.debug("[CHATGLM] response={}".format(response))
- # logger.info("[CHATGLM] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
- return {
- "total_tokens": response.usage.total_tokens,
- "completion_tokens": response.usage.completion_tokens,
- "content": response.choices[0].message.content,
- }
- except Exception as e:
- need_retry = retry_count < 2
- result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
- if isinstance(e, openai.error.RateLimitError):
- logger.warn("[CHATGLM] RateLimitError: {}".format(e))
- result["content"] = "提问太快啦，请休息一下再问我吧"
- if need_retry:
- time.sleep(20)
- elif isinstance(e, openai.error.Timeout):
- logger.warn("[CHATGLM] Timeout: {}".format(e))
- result["content"] = "我没有收到你的消息"
- if need_retry:
- time.sleep(5)
- elif isinstance(e, openai.error.APIError):
- logger.warn("[CHATGLM] Bad Gateway: {}".format(e))
- result["content"] = "请再问我一次"
- if need_retry:
- time.sleep(10)
- elif isinstance(e, openai.error.APIConnectionError):
- logger.warn("[CHATGLM] APIConnectionError: {}".format(e))
- result["content"] = "我连接不到你的网络"
- if need_retry:
- time.sleep(5)
- else:
- logger.exception("[CHATGLM] Exception: {}".format(e), e)
- need_retry = False
- self.sessions.clear_session(session.session_id)
-
- if need_retry:
- logger.warn("[CHATGLM] 第{}次重试".format(retry_count + 1))
- return self.reply_text(session, api_key, args, retry_count + 1)
- else:
- return result
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