add chatgpt plugin
This commit is contained in:
jxxghp
200
app/plugins/chatgpt/openai.py
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200
app/plugins/chatgpt/openai.py
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import json
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import time
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from typing import List, Union
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import openai
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from cacheout import Cache
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OpenAISessionCache = Cache(maxsize=100, ttl=3600, timer=time.time, default=None)
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class OpenAi:
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_api_key: str = None
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_api_url: str = None
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def __init__(self, api_key: str = None, api_url: str = None):
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self._api_key = api_key
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self._api_url = api_url
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def get_state(self) -> bool:
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return True if self._api_key else False
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@staticmethod
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def __save_session(session_id: str, message: str):
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"""
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保存会话
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:param session_id: 会话ID
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:param message: 消息
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:return:
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"""
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seasion = OpenAISessionCache.get(session_id)
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if seasion:
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seasion.append({
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"role": "assistant",
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"content": message
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})
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OpenAISessionCache.set(session_id, seasion)
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@staticmethod
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def __get_session(session_id: str, message: str) -> List[dict]:
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"""
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获取会话
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:param session_id: 会话ID
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:return: 会话上下文
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"""
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seasion = OpenAISessionCache.get(session_id)
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if seasion:
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seasion.append({
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"role": "user",
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"content": message
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})
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else:
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seasion = [
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{
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"role": "system",
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"content": "请在接下来的对话中请使用中文回复，并且内容尽可能详细。"
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},
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{
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"role": "user",
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"content": message
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}]
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OpenAISessionCache.set(session_id, seasion)
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return seasion
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@staticmethod
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def __get_model(message: Union[str, List[dict]],
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prompt: str = None,
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user: str = "MoviePilot",
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**kwargs):
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"""
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获取模型
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"""
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if not isinstance(message, list):
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if prompt:
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message = [
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{
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"role": "system",
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"content": prompt
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},
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{
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"role": "user",
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"content": message
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}
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]
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else:
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message = [
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{
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"role": "user",
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"content": message
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}
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]
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return openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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user=user,
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messages=message,
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**kwargs
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)
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@staticmethod
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def __clear_session(session_id: str):
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"""
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清除会话
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:param session_id: 会话ID
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:return:
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"""
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if OpenAISessionCache.get(session_id):
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OpenAISessionCache.delete(session_id)
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def get_media_name(self, filename: str):
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"""
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从文件名中提取媒体名称等要素
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:param filename: 文件名
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:return: Json
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"""
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if not self.get_state():
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return None
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result = ""
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try:
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_filename_prompt = "I will give you a movie/tvshow file name.You need to return a Json." \
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"\nPay attention to the correct identification of the film name." \
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"\n{\"title\":string,\"version\":string,\"part\":string,\"year\":string,\"resolution\":string,\"season\":number|null,\"episode\":number|null}"
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completion = self.__get_model(prompt=_filename_prompt, message=filename)
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result = completion.choices[0].message.content
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return json.loads(result)
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except Exception as e:
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print(f"{str(e)}：{result}")
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return {}
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def get_response(self, text: str, userid: str):
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"""
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聊天对话，获取答案
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:param text: 输入文本
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:param userid: 用户ID
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:return:
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"""
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if not self.get_state():
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return ""
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try:
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if not userid:
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return "用户信息错误"
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else:
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userid = str(userid)
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if text == "#清除":
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self.__clear_session(userid)
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return "会话已清除"
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# 获取历史上下文
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messages = self.__get_session(userid, text)
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completion = self.__get_model(message=messages, user=userid)
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result = completion.choices[0].message.content
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if result:
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self.__save_session(userid, text)
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return result
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except openai.error.RateLimitError as e:
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return f"请求被ChatGPT拒绝了，{str(e)}"
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except openai.error.APIConnectionError as e:
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return f"ChatGPT网络连接失败：{str(e)}"
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except openai.error.Timeout as e:
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return f"没有接收到ChatGPT的返回消息：{str(e)}"
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except Exception as e:
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return f"请求ChatGPT出现错误：{str(e)}"
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def translate_to_zh(self, text: str):
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"""
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翻译为中文
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:param text: 输入文本
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"""
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if not self.get_state():
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return False, None
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system_prompt = "You are a translation engine that can only translate text and cannot interpret it."
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user_prompt = f"translate to zh-CN:\n\n{text}"
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result = ""
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try:
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completion = self.__get_model(prompt=system_prompt,
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message=user_prompt,
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temperature=0,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0)
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result = completion.choices[0].message.content.strip()
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return True, result
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except Exception as e:
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print(f"{str(e)}：{result}")
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return False, str(e)
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def get_question_answer(self, question: str):
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"""
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从给定问题和选项中获取正确答案
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:param question: 问题及选项
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:return: Json
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"""
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if not self.get_state():
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return None
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result = ""
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try:
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_question_prompt = "下面我们来玩一个游戏，你是老师，我是学生，你需要回答我的问题，我会给你一个题目和几个选项，你的回复必须是给定选项中正确答案对应的序号，请直接回复数字"
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completion = self.__get_model(prompt=_question_prompt, message=question)
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result = completion.choices[0].message.content
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return result
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except Exception as e:
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print(f"{str(e)}：{result}")
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return {}
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