chatGptNew/text_analysis/bak/views_0107.py

# coding:utf8
import os, sys
import io

sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf8')
cur_dir = os.path.dirname(os.path.abspath(__file__)) or os.getcwd()
par_dir = os.path.abspath(os.path.join(cur_dir, os.path.pardir))
sys.path.append(cur_dir)
sys.path.append(par_dir)
import json
from django.http import HttpResponse
from text_analysis.tools import to_kafka
from django.views.decorators.csrf import csrf_exempt
from log_util.set_logger import set_logger

logging = set_logger('logs/results.log')
import traceback
import queue
import requests
from text_analysis.tools.tool import get_content
import uuid

import time

global task_queue
task_queue = queue.Queue()


@csrf_exempt
def chatGptNew(request):
    if request.method == 'POST':
        try:
            # txt=request.body.encode("utf-8")
            raw_data = json.loads(request.body)
            task_queue.put(raw_data)
            return HttpResponse(json.dumps({"code": 1, "msg": "请求正常！"}, ensure_ascii=False))
        except:
            logging.error(traceback.format_exc())
            return HttpResponse(json.dumps({"code": 0, "msg": "请求json格式不正确！"}, ensure_ascii=False))
    else:
        return HttpResponse(json.dumps({"code": 0, "msg": "请求方式错误，改为post请求"}, ensure_ascii=False))


def chatgpt():
    while True:
        if task_queue.qsize() > 0:
            # try:
            logging.info("取任务队列长度{}".format(task_queue.qsize()))
            raw_data = task_queue.get()
            try:
                output = raw_data["output"]
                res_tmp = {key: "" for key in output}
                if "id" in res_tmp.keys():
                    res_tmp["id"] = str(uuid.uuid4())
                data = get_content(raw_data, logging)
                url = "https://api.openai.com/v1/chat/completions"
                headers = {
                    "Content-Type": "application/json;charset=UTF-8",
                    "Authorization": "Bearer " + data["authorization"]
                }
                payload = json.dumps({
                    "model": data["model"],
                    "messages": [{"role": "user", "content": data["prompt"]}],
                    "temperature": float(data["temperature"]),
                    "top_p": float(data["top_p"]),
                    "n": int(data["n"])
                })
                logging.info("prompt为{}".format(data["prompt"]))
                response = requests.request("POST", url, headers=headers, data=payload)
                logging.info("GPT返回值：{}-{}".format(response,response.text))
                d = json.loads(response.text)
                result = d['choices'][0]['message']['content']
                res_tmp["content"] = result
                res_tmp_json = json.dumps(res_tmp, ensure_ascii=False)
                raw_data["result"] = {"successCode": "1", "errorLog": "", "results": res_tmp_json}
                # print(raw_data)
                logging.info(raw_data)
                to_kafka.send_kafka(raw_data, logging)
            except:
                raw_data["result"] = {"successCode": "0", "errorLog": "", "results": ""}
                raw_data["result"]["errorLog"] = traceback.format_exc()
                res_tmp_json = json.dumps(res_tmp, ensure_ascii=False)
                raw_data["result"]["results"] = res_tmp_json
                logging.info("调用gpt失败{}-{}".format(raw_data, traceback.format_exc()))
                to_kafka.send_kafka(raw_data, logging)
                # except:
                #     raw_data["result"] = {"successCode": "0", "errorLog": "", "results": ""}
                #     if response and response.text:
                #         raw_data["result"]["errorLog"] = response.text
                #     else:
                #         raw_data["result"]["errorLog"] = traceback.format_exc()
                #     res_tmp_json = json.dumps(res_tmp, ensure_ascii=False)
                #     raw_data["result"]["results"]=res_tmp_json
                #     logging.info("解析失败{}-{}".format(raw_data, traceback.format_exc()))
                #     to_kafka.send_kafka(raw_data, logging)
        else:
            # logging.info("暂无任务，进入休眠--")
            time.sleep(10)