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- # encoding:utf-8
-
- import time
-
- import openai
- import openai.error
- import requests
- import json
-
- 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 ContextType
- from bridge.reply import Reply, ReplyType
- from common.log import logger
- from common.token_bucket import TokenBucket
- from config import conf, load_config
- from channel.chat_message import ChatMessage
-
-
- # OpenAI对话模型API (可用)
- class ChatGPTBot(Bot, OpenAIImage):
- def __init__(self):
- super().__init__()
- # set the default api_key
- 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
- if conf().get("rate_limit_chatgpt"):
- self.tb4chatgpt = TokenBucket(conf().get("rate_limit_chatgpt", 20))
-
- self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
- self.args = {
- "model": conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称
- "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
- # "max_tokens":4096, # 回复最大的字符数
- "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
- "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
- "timeout": conf().get("request_timeout", None), # 重试超时时间，在这个时间内，将会自动重试
- }
-
- def reply(self, query, context=None):
- # acquire reply content
- if context.type == ContextType.TEXT:
- # print(context.__dict__)
- msg: ChatMessage = context.kwargs['msg']
- # print(msg.from_user_nickname)
- logger.info("[CHATGPT] {} query={}".format(msg.from_user_nickname,query))
-
- session_id = context["session_id"]
- # print(f'会话id:{session_id}')
- reply = None
- clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
- if query in clear_memory_commands:
- 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")
- elif query == "#更新配置":
- load_config()
- reply = Reply(ReplyType.INFO, "配置已更新")
- if reply:
- return reply
- session = self.sessions.session_query(query, session_id)
- logger.debug("[CHATGPT] session query={}".format(session.messages))
-
- api_key = context.get("openai_api_key")
- model = context.get("gpt_model")
- new_args = None
- if model:
- new_args = self.args.copy()
- new_args["model"] = model
- # if context.get('stream'):
- # # reply in stream
- # return self.reply_text_stream(query, new_query, session_id)
-
- reply_content = self.reply_text(session, api_key, args=new_args)
- logger.debug(
- "[CHATGPT] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
- session.messages,
- session_id,
- reply_content["content"],
- reply_content["completion_tokens"],
- )
- )
- if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
- reply = Reply(ReplyType.ERROR, reply_content["content"])
- elif reply_content["completion_tokens"] > 0:
- self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
- reply = Reply(ReplyType.TEXT, reply_content["content"])
- else:
- reply = Reply(ReplyType.ERROR, reply_content["content"])
- logger.debug("[CHATGPT] reply {} used 0 tokens.".format(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
- else:
- reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
- return reply
-
- def reply_text(self, session: ChatGPTSession, api_key=None, args=None, retry_count=0) -> dict:
- """
- call openai's ChatCompletion to get the answer
- :param session: a conversation session
- :param session_id: session id
- :param retry_count: retry count
- :return: {}
- """
- try:
- if conf().get("rate_limit_chatgpt") and not self.tb4chatgpt.get_token():
- raise openai.error.RateLimitError("RateLimitError: rate limit exceeded")
- # if api_key == None, the default openai.api_key will be used
- if args is None:
- args = self.args
- response = openai.ChatCompletion.create(api_key=api_key, messages=session.messages, **args)
- # print("{}".format(session.__dict__))
- logger.info("[CHATGPT] 请求={}".format(session.messages))
- # print(f'会话id:{session.session_id}')
- # logger.info("[CHATGPT] 响应={}".format(response))
- logger.info("[CHATGPT] 响应={}".format(json.dumps(response, separators=(',', ':'),ensure_ascii=False)))
- # logger.info("[ChatGPT] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
- return {
- "total_tokens": response["usage"]["total_tokens"],
- "completion_tokens": response["usage"]["completion_tokens"],
- "content": response.choices[0]["message"]["content"],
- }
- except Exception as e:
- need_retry = retry_count < 2
- result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
- if isinstance(e, openai.error.RateLimitError):
- logger.warn("[CHATGPT] RateLimitError: {}".format(e))
- result["content"] = "提问太快啦，请休息一下再问我吧"
- if need_retry:
- time.sleep(20)
- elif isinstance(e, openai.error.Timeout):
- logger.warn("[CHATGPT] Timeout: {}".format(e))
- result["content"] = "我没有收到你的消息"
- if need_retry:
- time.sleep(5)
- elif isinstance(e, openai.error.APIError):
- logger.warn("[CHATGPT] Bad Gateway: {}".format(e))
- result["content"] = "请再问我一次"
- if need_retry:
- time.sleep(10)
- elif isinstance(e, openai.error.APIConnectionError):
- logger.warn("[CHATGPT] APIConnectionError: {}".format(e))
- result["content"] = "我连接不到你的网络"
- if need_retry:
- time.sleep(5)
- else:
- logger.exception("[CHATGPT] Exception: {}".format(e))
- need_retry = False
- self.sessions.clear_session(session.session_id)
-
- if need_retry:
- logger.warn("[CHATGPT] 第{}次重试".format(retry_count + 1))
- return self.reply_text(session, api_key, args, retry_count + 1)
- else:
- return result
-
-
- class AzureChatGPTBot(ChatGPTBot):
- def __init__(self):
- super().__init__()
- openai.api_type = "azure"
- openai.api_version = conf().get("azure_api_version", "2023-06-01-preview")
- self.args["deployment_id"] = conf().get("azure_deployment_id")
-
- def create_img(self, query, retry_count=0, api_key=None):
- text_to_image_model = conf().get("text_to_image")
- if text_to_image_model == "dall-e-2":
- api_version = "2023-06-01-preview"
- endpoint = conf().get("azure_openai_dalle_api_base","open_ai_api_base")
- # 检查endpoint是否以/结尾
- if not endpoint.endswith("/"):
- endpoint = endpoint + "/"
- url = "{}openai/images/generations:submit?api-version={}".format(endpoint, api_version)
- api_key = conf().get("azure_openai_dalle_api_key","open_ai_api_key")
- headers = {"api-key": api_key, "Content-Type": "application/json"}
- try:
- body = {"prompt": query, "size": conf().get("image_create_size", "256x256"),"n": 1}
- submission = requests.post(url, headers=headers, json=body)
- operation_location = submission.headers['operation-location']
- status = ""
- while (status != "succeeded"):
- if retry_count > 3:
- return False, "图片生成失败"
- response = requests.get(operation_location, headers=headers)
- status = response.json()['status']
- retry_count += 1
- image_url = response.json()['result']['data'][0]['url']
- return True, image_url
- except Exception as e:
- logger.error("create image error: {}".format(e))
- return False, "图片生成失败"
- elif text_to_image_model == "dall-e-3":
- api_version = conf().get("azure_api_version", "2024-02-15-preview")
- endpoint = conf().get("azure_openai_dalle_api_base","open_ai_api_base")
- # 检查endpoint是否以/结尾
- if not endpoint.endswith("/"):
- endpoint = endpoint + "/"
- url = "{}openai/deployments/{}/images/generations?api-version={}".format(endpoint, conf().get("azure_openai_dalle_deployment_id","text_to_image"),api_version)
- api_key = conf().get("azure_openai_dalle_api_key","open_ai_api_key")
- headers = {"api-key": api_key, "Content-Type": "application/json"}
- try:
- body = {"prompt": query, "size": conf().get("image_create_size", "1024x1024"), "quality": conf().get("dalle3_image_quality", "standard")}
- response = requests.post(url, headers=headers, json=body)
- response.raise_for_status() # 检查请求是否成功
- data = response.json()
-
- # 检查响应中是否包含图像 URL
- if 'data' in data and len(data['data']) > 0 and 'url' in data['data'][0]:
- image_url = data['data'][0]['url']
- return True, image_url
- else:
- error_message = "响应中没有图像 URL"
- logger.error(error_message)
- return False, "图片生成失败"
-
- except requests.exceptions.RequestException as e:
- # 捕获所有请求相关的异常
- try:
- error_detail = response.json().get('error', {}).get('message', str(e))
- except ValueError:
- error_detail = str(e)
- error_message = f"{error_detail}"
- logger.error(error_message)
- return False, error_message
-
- except Exception as e:
- # 捕获所有其他异常
- error_message = f"生成图像时发生错误: {e}"
- logger.error(error_message)
- return False, "图片生成失败"
- else:
- return False, "图片生成失败，未配置text_to_image参数"
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