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473 lines
17 KiB
Python
473 lines
17 KiB
Python
from openai import OpenAI
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from openai.types.chat.chat_completion import ChatCompletion
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from openai.types.images_response import ImagesResponse
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import json
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import time
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import os
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import sys
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from cores.database.conn import dbConn
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from model.provider.provider import Provider
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import threading
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from util import general_utils as gu
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from util.cmd_config import CmdConfig
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import traceback
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import tiktoken
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abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
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class ProviderOpenAIOfficial(Provider):
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def __init__(self, cfg):
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self.cc = CmdConfig()
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self.key_list = []
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# 如果 cfg['key']中有长度为1的字符串，那么是格式错误，直接报错
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for key in cfg['key']:
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if len(key) == 1:
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input("检查到了长度为 1 的Key。配置文件中的 openai.key 处的格式错误 (符号 - 的后面要加空格)，请退出程序并检查配置文件，按回车跳过。")
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raise BaseException("配置文件格式错误")
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if cfg['key'] != '' and cfg['key'] != None:
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self.key_list = cfg['key']
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else:
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input("[System] 请先去完善ChatGPT的Key。详情请前往https://beta.openai.com/account/api-keys")
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if len(self.key_list) == 0:
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raise Exception("您打开了 OpenAI 模型服务，但是未填写 key。请前往填写。")
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self.key_stat = {}
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for k in self.key_list:
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self.key_stat[k] = {'exceed': False, 'used': 0}
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self.api_base = None
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if 'api_base' in cfg and cfg['api_base'] != 'none' and cfg['api_base'] != '':
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self.api_base = cfg['api_base']
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gu.log(f"设置 api_base 为: {self.api_base}")
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# openai client
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self.client = OpenAI(
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api_key=self.key_list[0],
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base_url=self.api_base
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)
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self.openai_model_configs: dict = cfg['chatGPTConfigs']
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gu.log(f'加载 OpenAI Chat Configs: {self.openai_model_configs}')
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self.openai_configs = cfg
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# 会话缓存
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self.session_dict = {}
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# 最大缓存token
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self.max_tokens = cfg['total_tokens_limit']
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# 历史记录持久化间隔时间
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self.history_dump_interval = 20
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self.enc = tiktoken.get_encoding("cl100k_base")
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# 读取历史记录
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try:
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db1 = dbConn()
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for session in db1.get_all_session():
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self.session_dict[session[0]] = json.loads(session[1])['data']
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gu.log("读取历史记录成功。")
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except BaseException as e:
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gu.log("读取历史记录失败，但不影响使用。", level=gu.LEVEL_ERROR)
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# 读取统计信息
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if not os.path.exists(abs_path+"configs/stat"):
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with open(abs_path+"configs/stat", 'w', encoding='utf-8') as f:
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json.dump({}, f)
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self.stat_file = open(abs_path+"configs/stat", 'r', encoding='utf-8')
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global count
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res = self.stat_file.read()
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if res == '':
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count = {}
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else:
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try:
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count = json.loads(res)
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except BaseException:
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pass
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# 创建转储定时器线程
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threading.Thread(target=self.dump_history, daemon=True).start()
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# 人格
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self.curr_personality = {}
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# 转储历史记录
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def dump_history(self):
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time.sleep(10)
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db = dbConn()
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while True:
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try:
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# print("转储历史记录...")
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for key in self.session_dict:
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# print("TEST: "+str(db.get_session(key)))
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data = self.session_dict[key]
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data_json = {
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'data': data
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}
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if db.check_session(key):
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db.update_session(key, json.dumps(data_json))
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else:
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db.insert_session(key, json.dumps(data_json))
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# print("转储历史记录完毕")
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except BaseException as e:
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print(e)
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# 每隔10分钟转储一次
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time.sleep(10*self.history_dump_interval)
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def personality_set(self, default_personality: dict, session_id: str):
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self.curr_personality = default_personality
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new_record = {
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"user": {
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"role": "user",
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"content": default_personality['prompt'],
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},
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"AI": {
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"role": "assistant",
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"content": "好的，接下来我会扮演这个角色。"
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},
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'type': "personality",
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'usage_tokens': 0,
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'single-tokens': 0
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}
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self.session_dict[session_id].append(new_record)
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def text_chat(self, prompt,
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session_id = None,
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image_url = None,
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function_call=None,
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extra_conf: dict = None,
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default_personality: dict = None):
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if session_id is None:
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session_id = "unknown"
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if "unknown" in self.session_dict:
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del self.session_dict["unknown"]
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# 会话机制
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if session_id not in self.session_dict:
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self.session_dict[session_id] = []
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fjson = {}
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try:
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f = open(abs_path+"configs/session", "r", encoding="utf-8")
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fjson = json.loads(f.read())
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f.close()
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except:
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pass
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finally:
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fjson[session_id] = 'true'
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f = open(abs_path+"configs/session", "w", encoding="utf-8")
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f.write(json.dumps(fjson))
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f.flush()
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f.close()
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if len(self.session_dict[session_id]) == 0:
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# 设置默认人格
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if default_personality is not None:
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self.personality_set(default_personality, session_id)
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# 使用 tictoken 截断消息
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_encoded_prompt = self.enc.encode(prompt)
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if self.openai_model_configs['max_tokens'] < len(_encoded_prompt):
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prompt = self.enc.decode(_encoded_prompt[:int(self.openai_model_configs['max_tokens']*0.80)])
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gu.log(f"注意，有一部分 prompt 文本由于超出 token 限制而被截断。", level=gu.LEVEL_WARNING, max_len=300)
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cache_data_list, new_record, req = self.wrap(prompt, session_id, image_url)
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gu.log(f"CACHE_DATA_: {str(cache_data_list)}", level=gu.LEVEL_DEBUG, max_len=99999)
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gu.log(f"OPENAI REQUEST: {str(req)}", level=gu.LEVEL_DEBUG, max_len=9999)
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retry = 0
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response = None
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err = ''
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# 截断倍率
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truncate_rate = 0.75
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use_gpt4v = False
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for i in req:
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if isinstance(i['content'], list):
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use_gpt4v = True
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break
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if image_url is not None:
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use_gpt4v = True
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if use_gpt4v:
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conf = self.openai_model_configs.copy()
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conf['model'] = 'gpt-4-vision-preview'
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else:
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conf = self.openai_model_configs
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if extra_conf is not None:
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conf.update(extra_conf)
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while retry < 10:
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try:
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if function_call is None:
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response = self.client.chat.completions.create(
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messages=req,
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**conf
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)
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else:
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response = self.client.chat.completions.create(
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messages=req,
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tools = function_call,
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**conf
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)
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break
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except Exception as e:
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print(traceback.format_exc())
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if 'Invalid content type. image_url is only supported by certain models.' in str(e):
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raise e
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if 'You exceeded' in str(e) or 'Billing hard limit has been reached' in str(e) or 'No API key provided' in str(e) or 'Incorrect API key provided' in str(e):
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gu.log("当前Key已超额或异常, 正在切换", level=gu.LEVEL_WARNING)
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self.key_stat[self.client.api_key]['exceed'] = True
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is_switched = self.handle_switch_key()
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if not is_switched:
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# 所有Key都超额或不正常
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raise e
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retry -= 1
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elif 'maximum context length' in str(e):
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gu.log("token超限, 清空对应缓存，并进行消息截断")
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self.session_dict[session_id] = []
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prompt = prompt[:int(len(prompt)*truncate_rate)]
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truncate_rate -= 0.05
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cache_data_list, new_record, req = self.wrap(prompt, session_id)
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elif 'Limit: 3 / min. Please try again in 20s.' in str(e) or "OpenAI response error" in str(e):
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time.sleep(30)
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continue
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else:
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gu.log(str(e), level=gu.LEVEL_ERROR)
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time.sleep(2)
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err = str(e)
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retry += 1
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if retry >= 10:
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gu.log(r"如果报错, 且您的机器在中国大陆内, 请确保您的电脑已经设置好代理软件(梯子), 并在配置文件设置了系统代理地址。详见https://github.com/Soulter/QQChannelChatGPT/wiki/%E4%BA%8C%E3%80%81%E9%A1%B9%E7%9B%AE%E9%85%8D%E7%BD%AE%E6%96%87%E4%BB%B6%E9%85%8D%E7%BD%AE", max_len=999)
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raise BaseException("连接出错: "+str(err))
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assert isinstance(response, ChatCompletion)
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gu.log(f"OPENAI RESPONSE: {response.usage}", level=gu.LEVEL_DEBUG, max_len=9999)
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# 结果分类
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choice = response.choices[0]
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if choice.message.content != None:
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# 文本形式
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chatgpt_res = str(choice.message.content).strip()
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elif choice.message.tool_calls != None and len(choice.message.tool_calls) > 0:
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# tools call (function calling)
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return choice.message.tool_calls[0].function
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self.key_stat[self.client.api_key]['used'] += response.usage.total_tokens
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current_usage_tokens = response.usage.total_tokens
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# 超过指定tokens， 尽可能的保留最多的条目，直到小于max_tokens
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if current_usage_tokens > self.max_tokens:
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t = current_usage_tokens
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index = 0
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while t > self.max_tokens:
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if index >= len(cache_data_list):
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break
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# 保留人格信息
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if cache_data_list[index]['type'] != 'personality':
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t -= int(cache_data_list[index]['single_tokens'])
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del cache_data_list[index]
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else:
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index += 1
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# 删除完后更新相关字段
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self.session_dict[session_id] = cache_data_list
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# cache_prompt = get_prompts_by_cache_list(cache_data_list)
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# 添加新条目进入缓存的prompt
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new_record['AI'] = {
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'role': 'assistant',
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'content': chatgpt_res,
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}
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new_record['usage_tokens'] = current_usage_tokens
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if len(cache_data_list) > 0:
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new_record['single_tokens'] = current_usage_tokens - int(cache_data_list[-1]['usage_tokens'])
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else:
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new_record['single_tokens'] = current_usage_tokens
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cache_data_list.append(new_record)
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self.session_dict[session_id] = cache_data_list
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return chatgpt_res
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def image_chat(self, prompt, img_num = 1, img_size = "1024x1024"):
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retry = 0
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image_url = ''
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image_generate_configs = self.cc.get("openai_image_generate", None)
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while retry < 5:
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try:
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response: ImagesResponse = self.client.images.generate(
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prompt=prompt,
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**image_generate_configs
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)
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image_url = []
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for i in range(img_num):
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image_url.append(response.data[i].url)
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break
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except Exception as e:
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gu.log(str(e), level=gu.LEVEL_ERROR)
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if 'You exceeded' in str(e) or 'Billing hard limit has been reached' in str(
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e) or 'No API key provided' in str(e) or 'Incorrect API key provided' in str(e):
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gu.log("当前 Key 已超额或者不正常, 正在切换", level=gu.LEVEL_WARNING)
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self.key_stat[self.client.api_key]['exceed'] = True
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is_switched = self.handle_switch_key()
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if not is_switched:
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# 所有Key都超额或不正常
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raise e
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elif 'Your request was rejected as a result of our safety system.' in str(e):
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gu.log("您的请求被 OpenAI 安全系统拒绝, 请稍后再试", level=gu.LEVEL_WARNING)
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raise e
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else:
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retry += 1
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if retry >= 5:
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raise BaseException("连接超时")
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return image_url
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def forget(self, session_id = None) -> bool:
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if session_id is None:
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return False
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self.session_dict[session_id] = []
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return True
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'''
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获取缓存的会话
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'''
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def get_prompts_by_cache_list(self, cache_data_list, divide=False, paging=False, size=5, page=1):
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prompts = ""
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if paging:
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page_begin = (page-1)*size
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page_end = page*size
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if page_begin < 0:
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page_begin = 0
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if page_end > len(cache_data_list):
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page_end = len(cache_data_list)
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cache_data_list = cache_data_list[page_begin:page_end]
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for item in cache_data_list:
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prompts += str(item['user']['role']) + ":\n" + str(item['user']['content']) + "\n"
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prompts += str(item['AI']['role']) + ":\n" + str(item['AI']['content']) + "\n"
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if divide:
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prompts += "----------\n"
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return prompts
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def get_user_usage_tokens(self,cache_list):
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usage_tokens = 0
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for item in cache_list:
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usage_tokens += int(item['single_tokens'])
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return usage_tokens
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'''
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获取统计信息
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'''
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def get_stat(self):
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try:
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f = open(abs_path+"configs/stat", "r", encoding="utf-8")
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fjson = json.loads(f.read())
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f.close()
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guild_count = 0
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guild_msg_count = 0
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guild_direct_msg_count = 0
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for k,v in fjson.items():
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guild_count += 1
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guild_msg_count += v['count']
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guild_direct_msg_count += v['direct_count']
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session_count = 0
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f = open(abs_path+"configs/session", "r", encoding="utf-8")
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fjson = json.loads(f.read())
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f.close()
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for k,v in fjson.items():
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session_count += 1
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return guild_count, guild_msg_count, guild_direct_msg_count, session_count
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except:
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return -1, -1, -1, -1
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# 包装信息
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def wrap(self, prompt, session_id, image_url = None):
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if image_url is not None:
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prompt = [
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{
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"type": "text",
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"text": prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": image_url
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}
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}
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]
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# 获得缓存信息
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context = self.session_dict[session_id]
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new_record = {
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"user": {
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"role": "user",
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"content": prompt,
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},
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"AI": {},
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'type': "common",
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'usage_tokens': 0,
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}
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req_list = []
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for i in context:
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if 'user' in i:
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req_list.append(i['user'])
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if 'AI' in i:
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req_list.append(i['AI'])
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req_list.append(new_record['user'])
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return context, new_record, req_list
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def handle_switch_key(self):
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# messages = [{"role": "user", "content": prompt}]
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is_all_exceed = True
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for key in self.key_stat:
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if key == None or self.key_stat[key]['exceed']:
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continue
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is_all_exceed = False
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self.client.api_key = key
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gu.log(f"切换到Key: {key}, 已使用token: {self.key_stat[key]['used']}", level=gu.LEVEL_INFO)
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break
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if is_all_exceed:
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gu.log("所有Key已超额", level=gu.LEVEL_CRITICAL)
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return False
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return True
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def get_configs(self):
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return self.openai_configs
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def get_key_stat(self):
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return self.key_stat
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def get_key_list(self):
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return self.key_list
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def get_curr_key(self):
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return self.client.api_key
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def set_key(self, key):
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self.client.api_key = key
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# 添加key
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def append_key(self, key, sponsor):
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self.key_list.append(key)
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self.key_stat[key] = {'exceed': False, 'used': 0, 'sponsor': sponsor}
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# 检查key是否可用
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def check_key(self, key):
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client_ = OpenAI(
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api_key=key,
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base_url=self.api_base
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)
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messages = [{"role": "user", "content": "please just echo `test`"}]
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client_.chat.completions.create(
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messages=messages,
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**self.openai_model_configs
|
||
)
|
||
return True
|