mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-02-26 16:16:21 +08:00
116 lines
4.7 KiB
Python
116 lines
4.7 KiB
Python
# access LinkAI knowledge base platform
|
|
# docs: https://link-ai.tech/platform/link-app/wechat
|
|
|
|
import time
|
|
|
|
import requests
|
|
|
|
from bot.bot import Bot
|
|
from bot.chatgpt.chat_gpt_session import ChatGPTSession
|
|
from bot.openai.open_ai_image import OpenAIImage
|
|
from bot.session_manager import SessionManager
|
|
from bridge.context import Context, ContextType
|
|
from bridge.reply import Reply, ReplyType
|
|
from common.log import logger
|
|
from config import conf
|
|
|
|
|
|
class LinkAIBot(Bot, OpenAIImage):
|
|
# authentication failed
|
|
AUTH_FAILED_CODE = 401
|
|
NO_QUOTA_CODE = 406
|
|
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.base_url = "https://api.link-ai.chat/v1"
|
|
self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
|
|
|
|
def reply(self, query, context: Context = None) -> Reply:
|
|
if context.type == ContextType.TEXT:
|
|
return self._chat(query, context)
|
|
elif context.type == ContextType.IMAGE_CREATE:
|
|
ok, res = self.create_img(query, 0)
|
|
if ok:
|
|
reply = Reply(ReplyType.IMAGE_URL, res)
|
|
else:
|
|
reply = Reply(ReplyType.ERROR, res)
|
|
return reply
|
|
else:
|
|
reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
|
|
return reply
|
|
|
|
def _chat(self, query, context, retry_count=0) -> Reply:
|
|
"""
|
|
发起对话请求
|
|
:param query: 请求提示词
|
|
:param context: 对话上下文
|
|
:param retry_count: 当前递归重试次数
|
|
:return: 回复
|
|
"""
|
|
if retry_count >= 2:
|
|
# exit from retry 2 times
|
|
logger.warn("[LINKAI] failed after maximum number of retry times")
|
|
return Reply(ReplyType.ERROR, "请再问我一次吧")
|
|
|
|
try:
|
|
# load config
|
|
if context.get("generate_breaked_by"):
|
|
logger.info(f"[LINKAI] won't set appcode because a plugin ({context['generate_breaked_by']}) affected the context")
|
|
app_code = None
|
|
else:
|
|
app_code = context.kwargs.get("app_code") or conf().get("linkai_app_code")
|
|
linkai_api_key = conf().get("linkai_api_key")
|
|
|
|
session_id = context["session_id"]
|
|
|
|
session = self.sessions.session_query(query, session_id)
|
|
|
|
# remove system message
|
|
if app_code and session.messages[0].get("role") == "system":
|
|
session.messages.pop(0)
|
|
|
|
body = {
|
|
"app_code": app_code,
|
|
"messages": session.messages,
|
|
"model": conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称
|
|
"temperature": conf().get("temperature"),
|
|
"top_p": conf().get("top_p", 1),
|
|
"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
|
|
}
|
|
logger.info(f"[LINKAI] query={query}, app_code={app_code}, mode={body.get('model')}")
|
|
headers = {"Authorization": "Bearer " + linkai_api_key}
|
|
|
|
# do http request
|
|
res = requests.post(url=self.base_url + "/chat/completions", json=body, headers=headers,
|
|
timeout=conf().get("request_timeout", 180))
|
|
if res.status_code == 200:
|
|
# execute success
|
|
response = res.json()
|
|
reply_content = response["choices"][0]["message"]["content"]
|
|
total_tokens = response["usage"]["total_tokens"]
|
|
logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
|
|
self.sessions.session_reply(reply_content, session_id, total_tokens)
|
|
return Reply(ReplyType.TEXT, reply_content)
|
|
|
|
else:
|
|
response = res.json()
|
|
error = response.get("error")
|
|
logger.error(f"[LINKAI] chat failed, status_code={res.status_code}, "
|
|
f"msg={error.get('message')}, type={error.get('type')}")
|
|
|
|
if res.status_code >= 500:
|
|
# server error, need retry
|
|
time.sleep(2)
|
|
logger.warn(f"[LINKAI] do retry, times={retry_count}")
|
|
return self._chat(query, context, retry_count + 1)
|
|
|
|
return Reply(ReplyType.ERROR, "提问太快啦，请休息一下再问我吧")
|
|
|
|
except Exception as e:
|
|
logger.exception(e)
|
|
# retry
|
|
time.sleep(2)
|
|
logger.warn(f"[LINKAI] do retry, times={retry_count}")
|
|
return self._chat(query, context, retry_count + 1)
|