243 lines
11 KiB
Python
243 lines
11 KiB
Python
# encoding:utf-8
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import base64
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import time
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import openai
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import openai.error
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import requests
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from bot.bot import Bot
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from bot.chatgpt.chat_gpt_session import ChatGPTSession
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from bot.openai.open_ai_image import OpenAIImage
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from bot.openai.open_ai_vision import OpenAIVision
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from bot.session_manager import SessionManager
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from bridge.context import ContextType
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from common.token_bucket import TokenBucket
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from common import memory, utils, const
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from config import conf, load_config
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# OpenAI对话模型API (可用)
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class ChatGPTBot(Bot, OpenAIImage, OpenAIVision):
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def __init__(self):
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super().__init__()
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# set the default api_key
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openai.api_key = conf().get("open_ai_api_key")
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if conf().get("open_ai_api_base"):
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openai.api_base = conf().get("open_ai_api_base")
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proxy = conf().get("proxy")
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if proxy:
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openai.proxy = proxy
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if conf().get("rate_limit_chatgpt"):
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self.tb4chatgpt = TokenBucket(conf().get("rate_limit_chatgpt", 20))
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self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
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self.args = {
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"model": conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称
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"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
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# "max_tokens":4096, # 回复最大的字符数
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"top_p": conf().get("top_p", 1),
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"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
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"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
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"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
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"timeout": conf().get("request_timeout", None), # 重试超时时间，在这个时间内，将会自动重试
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}
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def reply(self, query, context=None):
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# acquire reply content
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if context.type == ContextType.TEXT:
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logger.info("[CHATGPT] query={}".format(query))
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session_id = context["session_id"]
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reply = None
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clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
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if query in clear_memory_commands:
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self.sessions.clear_session(session_id)
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reply = Reply(ReplyType.INFO, "记忆已清除")
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elif query == "#清除所有":
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self.sessions.clear_all_session()
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reply = Reply(ReplyType.INFO, "所有人记忆已清除")
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elif query == "#更新配置":
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load_config()
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reply = Reply(ReplyType.INFO, "配置已更新")
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if reply:
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return reply
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session = self.sessions.session_query(query, session_id)
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logger.debug("[CHATGPT] session query={}".format(session.messages))
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api_key = context.get("openai_api_key")
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model = context.get("gpt_model")
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new_args = None
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if model:
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new_args = self.args.copy()
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new_args["model"] = model
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# if context.get('stream'):
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# # reply in stream
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# return self.reply_text_stream(query, new_query, session_id)
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reply_content = self.reply_text(session_id, session, api_key, args=new_args)
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logger.debug(
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"[CHATGPT] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
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session.messages,
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session_id,
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reply_content["content"],
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reply_content["completion_tokens"],
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)
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)
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if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
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reply = Reply(ReplyType.ERROR, reply_content["content"])
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elif reply_content["completion_tokens"] > 0:
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self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
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reply = Reply(ReplyType.TEXT, reply_content["content"])
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else:
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reply = Reply(ReplyType.ERROR, reply_content["content"])
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logger.debug("[CHATGPT] reply {} used 0 tokens.".format(reply_content))
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return reply
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elif context.type == ContextType.IMAGE_CREATE:
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ok, retstring = self.create_img(query, 0, context=context)
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reply = None
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if ok:
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reply = Reply(ReplyType.IMAGE_URL, retstring)
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else:
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reply = Reply(ReplyType.ERROR, retstring)
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return reply
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else:
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reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
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return reply
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def reply_text(self, session_id: str, session: ChatGPTSession, api_key=None, args=None, retry_count=0) -> dict:
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"""
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call openai's ChatCompletion to get the answer
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:param session: a conversation session
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:param session_id: session id
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:param retry_count: retry count
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:return: {}
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"""
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try:
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if conf().get("rate_limit_chatgpt") and not self.tb4chatgpt.get_token():
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raise openai.error.RateLimitError("RateLimitError: rate limit exceeded")
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# if api_key == None, the default openai.api_key will be used
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if args is None:
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args = self.args
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res = self.do_vision_completion_if_need(session_id, session.messages[-1]['content'])
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if res:
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return res
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response = openai.ChatCompletion.create(api_key=api_key, messages=session.messages, **args)
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# logger.debug("[CHATGPT] response={}".format(response))
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# logger.info("[ChatGPT] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
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content = response.choices[0]["message"]["content"]
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# fastgpt工具调用格式处理
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if isinstance(content, list):
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# {
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# "id": "",
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# "model": "",
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# "usage": {},
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# "choices": [
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# {
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# "message": {
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# "role": "assistant",
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# "content": [
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# {
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# "type": "tool",
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# "tools": [
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# {
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# "id": "xx",
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# "toolName": "HTTP请求",
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# "toolAvatar": "xx",
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# "functionName": "xx",
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# "params": "{\"key1\":\"xx\",\"key2\":\"xxx"}",
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# "response": "xxx"
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# }
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# ]
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# },
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# {
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# "type": "text",
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# "text": {
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# "content": "xxx"
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# }
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# }
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# ]
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# },
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# "finish_reason": "stop",
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# "index": 0
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# }
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# ]
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# }
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for item in content:
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if item["type"] == "text":
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content = item["text"]["content"]
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break
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return {
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"total_tokens": response["usage"]["total_tokens"],
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"completion_tokens": response["usage"]["completion_tokens"],
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"content": content,
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}
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except Exception as e:
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need_retry = retry_count < 2
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result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
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if isinstance(e, openai.error.RateLimitError):
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logger.warn("[CHATGPT] RateLimitError: {}".format(e))
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result["content"] = "提问太快啦，请休息一下再问我吧"
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if need_retry:
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time.sleep(20)
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elif isinstance(e, openai.error.Timeout):
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logger.warn("[CHATGPT] Timeout: {}".format(e))
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result["content"] = "我没有收到你的消息"
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if need_retry:
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time.sleep(5)
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elif isinstance(e, openai.error.APIError):
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logger.warn("[CHATGPT] Bad Gateway: {}".format(e))
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result["content"] = "请再问我一次"
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if need_retry:
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time.sleep(10)
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elif isinstance(e, openai.error.APIConnectionError):
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logger.warn("[CHATGPT] APIConnectionError: {}".format(e))
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result["content"] = "我连接不到你的网络"
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if need_retry:
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time.sleep(5)
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else:
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logger.exception("[CHATGPT] Exception: {}".format(e))
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need_retry = False
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self.sessions.clear_session(session.session_id)
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if need_retry:
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logger.warn("[CHATGPT] 第{}次重试".format(retry_count + 1))
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return self.reply_text(session_id, session, api_key, args, retry_count + 1)
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else:
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return result
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class AzureChatGPTBot(ChatGPTBot):
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def __init__(self):
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super().__init__()
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openai.api_type = "azure"
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openai.api_version = conf().get("azure_api_version", "2023-06-01-preview")
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self.args["deployment_id"] = conf().get("azure_deployment_id")
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def create_img(self, query, retry_count=0, api_key=None):
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api_version = "2022-08-03-preview"
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url = "{}dalle/text-to-image?api-version={}".format(openai.api_base, api_version)
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api_key = api_key or openai.api_key
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headers = {"api-key": api_key, "Content-Type": "application/json"}
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try:
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body = {"caption": query, "resolution": conf().get("image_create_size", "256x256")}
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submission = requests.post(url, headers=headers, json=body)
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operation_location = submission.headers["Operation-Location"]
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retry_after = submission.headers["Retry-after"]
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status = ""
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image_url = ""
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while status != "Succeeded":
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logger.info("waiting for image create..., " + status + ",retry after " + retry_after + " seconds")
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time.sleep(int(retry_after))
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response = requests.get(operation_location, headers=headers)
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status = response.json()["status"]
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image_url = response.json()["result"]["contentUrl"]
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return True, image_url
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except Exception as e:
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logger.error("create image error: {}".format(e))
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return False, "图片生成失败"
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