mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-02-25 08:57:51 +08:00
207 lines
9.3 KiB
Python
207 lines
9.3 KiB
Python
# access LinkAI knowledge base platform
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# docs: https://link-ai.tech/platform/link-app/wechat
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import time
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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.session_manager import SessionManager
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from bridge.context import Context, 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 config import conf, pconf
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class LinkAIBot(Bot, OpenAIImage):
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# authentication failed
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AUTH_FAILED_CODE = 401
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NO_QUOTA_CODE = 406
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def __init__(self):
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super().__init__()
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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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def reply(self, query, context: Context = None) -> Reply:
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if context.type == ContextType.TEXT:
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return self._chat(query, context)
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elif context.type == ContextType.IMAGE_CREATE:
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ok, res = self.create_img(query, 0)
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if ok:
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reply = Reply(ReplyType.IMAGE_URL, res)
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else:
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reply = Reply(ReplyType.ERROR, res)
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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 _chat(self, query, context, retry_count=0) -> Reply:
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"""
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发起对话请求
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:param query: 请求提示词
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:param context: 对话上下文
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:param retry_count: 当前递归重试次数
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:return: 回复
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"""
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if retry_count >= 2:
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# exit from retry 2 times
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logger.warn("[LINKAI] failed after maximum number of retry times")
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return Reply(ReplyType.ERROR, "请再问我一次吧")
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try:
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# load config
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if context.get("generate_breaked_by"):
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logger.info(f"[LINKAI] won't set appcode because a plugin ({context['generate_breaked_by']}) affected the context")
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app_code = None
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else:
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app_code = context.kwargs.get("app_code") or conf().get("linkai_app_code")
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linkai_api_key = conf().get("linkai_api_key")
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session_id = context["session_id"]
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session = self.sessions.session_query(query, session_id)
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model = conf().get("model") or "gpt-3.5-turbo"
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# remove system message
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if session.messages[0].get("role") == "system":
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if app_code or model == "wenxin":
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session.messages.pop(0)
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body = {
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"app_code": app_code,
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"messages": session.messages,
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"model": model, # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
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"temperature": conf().get("temperature"),
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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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}
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file_id = context.kwargs.get("file_id")
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if file_id:
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body["file_id"] = file_id
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logger.info(f"[LINKAI] query={query}, app_code={app_code}, mode={body.get('model')}, file_id={file_id}")
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headers = {"Authorization": "Bearer " + linkai_api_key}
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# do http request
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base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
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res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
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timeout=conf().get("request_timeout", 180))
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if res.status_code == 200:
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# execute success
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response = res.json()
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reply_content = response["choices"][0]["message"]["content"]
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total_tokens = response["usage"]["total_tokens"]
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logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
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self.sessions.session_reply(reply_content, session_id, total_tokens)
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suffix = self._fecth_knowledge_search_suffix(response)
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if suffix:
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reply_content += suffix
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return Reply(ReplyType.TEXT, reply_content)
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else:
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response = res.json()
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error = response.get("error")
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logger.error(f"[LINKAI] chat failed, status_code={res.status_code}, "
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f"msg={error.get('message')}, type={error.get('type')}")
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if res.status_code >= 500:
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# server error, need retry
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time.sleep(2)
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logger.warn(f"[LINKAI] do retry, times={retry_count}")
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return self._chat(query, context, retry_count + 1)
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return Reply(ReplyType.ERROR, "提问太快啦，请休息一下再问我吧")
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except Exception as e:
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logger.exception(e)
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# retry
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time.sleep(2)
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logger.warn(f"[LINKAI] do retry, times={retry_count}")
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return self._chat(query, context, retry_count + 1)
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def reply_text(self, session: ChatGPTSession, app_code="", retry_count=0) -> dict:
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if retry_count >= 2:
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# exit from retry 2 times
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logger.warn("[LINKAI] failed after maximum number of retry times")
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return {
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"total_tokens": 0,
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"completion_tokens": 0,
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"content": "请再问我一次吧"
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}
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try:
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body = {
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"app_code": app_code,
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"messages": session.messages,
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"model": conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
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"temperature": conf().get("temperature"),
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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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}
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if self.args.get("max_tokens"):
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body["max_tokens"] = self.args.get("max_tokens")
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headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
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# do http request
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base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
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res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
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timeout=conf().get("request_timeout", 180))
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if res.status_code == 200:
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# execute success
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response = res.json()
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reply_content = response["choices"][0]["message"]["content"]
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total_tokens = response["usage"]["total_tokens"]
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logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
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return {
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"total_tokens": total_tokens,
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"completion_tokens": response["usage"]["completion_tokens"],
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"content": reply_content,
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}
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else:
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response = res.json()
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error = response.get("error")
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logger.error(f"[LINKAI] chat failed, status_code={res.status_code}, "
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f"msg={error.get('message')}, type={error.get('type')}")
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if res.status_code >= 500:
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# server error, need retry
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time.sleep(2)
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logger.warn(f"[LINKAI] do retry, times={retry_count}")
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return self.reply_text(session, app_code, retry_count + 1)
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return {
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"total_tokens": 0,
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"completion_tokens": 0,
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"content": "提问太快啦，请休息一下再问我吧"
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}
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except Exception as e:
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logger.exception(e)
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# retry
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time.sleep(2)
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logger.warn(f"[LINKAI] do retry, times={retry_count}")
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return self.reply_text(session, app_code, retry_count + 1)
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def _fecth_knowledge_search_suffix(self, response) -> str:
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try:
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if response.get("knowledge_base"):
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search_hit = response.get("knowledge_base").get("search_hit")
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first_similarity = response.get("knowledge_base").get("first_similarity")
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logger.info(f"[LINKAI] knowledge base, search_hit={search_hit}, first_similarity={first_similarity}")
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plugin_config = pconf("linkai")
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if plugin_config.get("knowledge_base") and plugin_config.get("knowledge_base").get("search_miss_text_enabled"):
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search_miss_similarity = plugin_config.get("knowledge_base").get("search_miss_similarity")
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search_miss_text = plugin_config.get("knowledge_base").get("search_miss_suffix")
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if not search_hit:
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return search_miss_text
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if search_miss_similarity and float(search_miss_similarity) > first_similarity:
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return search_miss_text
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except Exception as e:
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logger.exception(e)
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