ai_qback/gpt/gpt.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

m = MySQLUploader()


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=False, n=1, sys_prompt=None):
    if "3.5" in model or "3.5-turbo" in model or "3.5turbo" in model:
        model = "gpt-3.5-turbo"
    elif "4o" in model or "gpt4o" in model:
        model = "gpt-4o"
    elif "4turbo" in model or "4-turbo" in model:
        model = "gpt-4-turbo"

    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 _ 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}")
                return gpt_res
            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__':
    pass

    resp = get_answer_from_gpt("hello", temperature=0.8, model='gpt-4o')
    print(resp)