mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-02-10 00:07:36 +08:00
109 lines
4.9 KiB
Python
109 lines
4.9 KiB
Python
# encoding:utf-8
|
|
|
|
from bot.bot import Bot
|
|
from bot.openai.open_ai_image import OpenAIImage
|
|
from bot.openai.open_ai_session import OpenAISession
|
|
from bot.session_manager import SessionManager
|
|
from bridge.context import ContextType
|
|
from bridge.reply import Reply, ReplyType
|
|
from config import conf
|
|
from common.log import logger
|
|
import openai
|
|
import openai.error
|
|
import time
|
|
|
|
user_session = dict()
|
|
|
|
# OpenAI对话模型API (可用)
|
|
class OpenAIBot(Bot, OpenAIImage):
|
|
def __init__(self):
|
|
super().__init__()
|
|
openai.api_key = conf().get('open_ai_api_key')
|
|
if conf().get('open_ai_api_base'):
|
|
openai.api_base = conf().get('open_ai_api_base')
|
|
proxy = conf().get('proxy')
|
|
if proxy:
|
|
openai.proxy = proxy
|
|
|
|
self.sessions = SessionManager(OpenAISession, model= conf().get("model") or "text-davinci-003")
|
|
|
|
def reply(self, query, context=None):
|
|
# acquire reply content
|
|
if context and context.type:
|
|
if context.type == ContextType.TEXT:
|
|
logger.info("[OPEN_AI] query={}".format(query))
|
|
session_id = context['session_id']
|
|
reply = None
|
|
if query == '#清除记忆':
|
|
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')
|
|
else:
|
|
session = self.sessions.session_query(query, session_id)
|
|
new_query = str(session)
|
|
logger.debug("[OPEN_AI] session query={}".format(new_query))
|
|
|
|
total_tokens, completion_tokens, reply_content = self.reply_text(new_query, session_id, 0)
|
|
logger.debug("[OPEN_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(new_query, session_id, reply_content, completion_tokens))
|
|
|
|
if total_tokens == 0 :
|
|
reply = Reply(ReplyType.ERROR, reply_content)
|
|
else:
|
|
self.sessions.session_reply(reply_content, session_id, total_tokens)
|
|
reply = Reply(ReplyType.TEXT, reply_content)
|
|
return reply
|
|
elif context.type == ContextType.IMAGE_CREATE:
|
|
ok, retstring = self.create_img(query, 0)
|
|
reply = None
|
|
if ok:
|
|
reply = Reply(ReplyType.IMAGE_URL, retstring)
|
|
else:
|
|
reply = Reply(ReplyType.ERROR, retstring)
|
|
return reply
|
|
|
|
def reply_text(self, query, session_id, retry_count=0):
|
|
try:
|
|
response = openai.Completion.create(
|
|
model= conf().get("model") or "text-davinci-003", # 对话模型的名称
|
|
prompt=query,
|
|
temperature=0.9, # 值在[0,1]之间，越大表示回复越具有不确定性
|
|
max_tokens=1200, # 回复最大的字符数
|
|
top_p=1,
|
|
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=0.0, # [-2,2]之间，该值越大则更倾向于产生不同的内容
|
|
stop=["\n\n\n"]
|
|
)
|
|
res_content = response.choices[0]['text'].strip().replace('<|endoftext|>', '')
|
|
total_tokens = response["usage"]["total_tokens"]
|
|
completion_tokens = response["usage"]["completion_tokens"]
|
|
logger.info("[OPEN_AI] reply={}".format(res_content))
|
|
return total_tokens, completion_tokens, res_content
|
|
except Exception as e:
|
|
need_retry = retry_count < 2
|
|
result = [0,0,"我现在有点累了，等会再来吧"]
|
|
if isinstance(e, openai.error.RateLimitError):
|
|
logger.warn("[OPEN_AI] RateLimitError: {}".format(e))
|
|
result[2] = "提问太快啦，请休息一下再问我吧"
|
|
if need_retry:
|
|
time.sleep(5)
|
|
elif isinstance(e, openai.error.Timeout):
|
|
logger.warn("[OPEN_AI] Timeout: {}".format(e))
|
|
result[2] = "我没有收到你的消息"
|
|
if need_retry:
|
|
time.sleep(5)
|
|
elif isinstance(e, openai.error.APIConnectionError):
|
|
logger.warn("[OPEN_AI] APIConnectionError: {}".format(e))
|
|
need_retry = False
|
|
result[2] = "我连接不到你的网络"
|
|
else:
|
|
logger.warn("[OPEN_AI] Exception: {}".format(e))
|
|
need_retry = False
|
|
self.sessions.clear_session(session_id)
|
|
|
|
if need_retry:
|
|
logger.warn("[OPEN_AI] 第{}次重试".format(retry_count+1))
|
|
return self.reply_text(query, session_id, retry_count+1)
|
|
else:
|
|
return result |