ai_qback/gpt/chatgpt.py

# -*- coding:utf-8 -*-
if __name__ == '__main__':
    import os
    os.chdir("..")

import requests
import random
import time
from tools.loglog import logger,simple_logger
from tools.new_mysql import MySQLUploader
from typing import Optional, Dict, Any,Union


m = MySQLUploader()

def get_openai_model(model_text:str):
    """模糊获得模型名"""
    if "3.5" in model_text or "3.5-turbo" in model_text or "3.5turbo" in model_text:
        model = "gpt-3.5-turbo"
    elif "4o" in model_text or "gpt4o" in model_text:
        model = "gpt-4o"
    elif "4turbo" in model_text or "4-turbo" in model_text:
        model = "gpt-4-turbo"
    else:
        model = "gpt-4o"
    return model


def insert_ip_token(ip,demo_name,gpt_content,prompt_tokens,completion_tokens,total_tokens):
    sql = "insert into consumer_token (ip,demo_name,gpt_content,prompt_tokens,completion_tokens,total_tokens) values (%s,%s,%s,%s,%s,%s)"
    m.execute_(sql,(ip,demo_name,str(gpt_content),prompt_tokens,completion_tokens,total_tokens))

def get_answer_from_gpt(question,real_ip="localhost",demo_name="无",model="gpt-4o",max_tokens=3500,temperature:float=0,
                        json_resp:Union[Dict[Any, Any],bool]=False,n=1,check_fucn=None,sys_prompt=None):
    model = get_openai_model(model)

   
    d2 = {"model": model,"messages": [],"max_tokens": max_tokens,"temperature": temperature,'n': n}
    if sys_prompt:
        d2['messages'].append({"role": "system", "content": sys_prompt})
    d2['messages'].append({"role": "user", "content": question})

    if json_resp is True:
        d2["response_format"] = {"type": "json_object"}
    elif json_resp is False:
        pass
    else:
        d2["response_format"] = json_resp

    for num_count in range(3):
        try:
           
            response = requests.post(f'http://170.106.108.95/v1/chat/completions', json=d2)
            r_json = response.json()
            if r2:= r_json.get("choices",None):
                if n>1:
                    gpt_res = []
                    for i in r2:
                        gpt_res.append(i["message"]["content"])
                else:
                    gpt_res= r2[0]["message"]["content"]

               
                gpt_content = str(gpt_res)
                prompt_tokens = r_json["usage"]["prompt_tokens"]
                completion_tokens = r_json["usage"]["completion_tokens"]
                total_tokens = r_json["usage"]["total_tokens"]
                insert_ip_token(real_ip,demo_name,gpt_content,prompt_tokens,completion_tokens,total_tokens)

                simple_logger.info(f"问题日志：\n{question}\n回答日志：\n{gpt_res}")

               
                if not check_fucn:
                    return gpt_res

               
                check_result = check_fucn(str(gpt_res))
                if check_result: 
                    return gpt_res
                else:
                    raise Exception(f"第{num_count+1}次共3次，GPT的校验没有通过，校验函数:{check_fucn.__name__}")

            elif r_json.get("message") == "IP address blocked":
                print("IP address blocked")
                raise Exception("IP address blocked")
            else:
                print(f"小错误:{question[:10]}")
                logger.error(response.text)
        except Exception as e:
            logger.info(f"小报错忽略{e}")
        time.sleep(10)

    logger.critical("get_answer_from_gpt 严重错误，3次后都失败了")



def parse_gpt_phon_to_tuplelist(text:str) -> list:
    """解析gpt返回的音标数据"""
    result = []
    if not text:
        return []
    for i in text.split("\n"):
        ii = i.split("***")
        if len(ii)>=3:
            result.append((ii[0].strip(),ii[1].strip(),ii[2].strip()))
    return result


if __name__ == '__main__':

    question = "hello"
    print(get_answer_from_gpt(question,temperature=0.8))