chromaDB/text_analysis/bak/views.py_20240806

# coding:utf8
import os, sys
import io
from jsonpath_ng import jsonpath, parse
import uuid
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 parse_data
from text_analysis.chroma1 import LangChainChroma
import time
from datetime import datetime
import os

# 任务队列
global task_queue
task_queue = queue.Queue()
# LC = LangChainChroma()


@csrf_exempt
def createChroma(request):
    if request.method == 'POST':
        try:
            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 upload():
    while True:
        try:
            if task_queue.qsize() > 0:
                logging.info("取任务队列长度{}".format(task_queue.qsize()))
                raw_data = task_queue.get()
                output=raw_data["output"]
                res_tmp={key: "" for key in output}
                if "id" in res_tmp.keys():
                    res_tmp["id"]=str(uuid.uuid4())
                res_tmp["isLast"]=1
                logging.info("任务数据为：{}".format(raw_data))
                # chunkSize=parse_data(raw_data,raw_data["input"]["chunkSize"])
                content=parse_data(raw_data,raw_data["input"]["content"])
                fieldName=parse_data(raw_data,raw_data["input"]["fieldName"])
                dataId=parse_data(raw_data,raw_data["input"]["dataId"])
                # dataId=raw_data["dataId"]
                if content and fieldName and dataId:
                    vector_db=LangChainChroma(fieldName)
                    docs=vector_db.text_splitter.split_text(content)
                    res,db_count=vector_db.add_documents(docs,dataId)
                    vector_db.db_close()
                    logging.info('当前数据划分{}个块。数据库{}共有{}个块'.format(len(res), fieldName,db_count))
                    # res=LC.addChroma(content,fieldName,logging,chunkSize)
                    res_tmp['resultsID']=res
                    raw_data["result"] = {"successCode": "", "errorLog": "", "results": ""}
                    if res:
                        res_tmp["status"]=1
                        raw_data["result"]["successCode"] = "1"
                        raw_data["result"]["status"] = 1
                        raw_data["result"]["message"] = "成功"
                    else:
                        res_tmp["status"]=3
                        raw_data["result"]["successCode"] = "0"
                        raw_data["result"]["status"] = 2
                        raw_data["result"]["message"] = "异常"
                else:
                    res_tmp["status"] = 3
                    raw_data["result"]["successCode"] = "0"
                    raw_data["result"]["errorLog"] = "请检查content/fieldName/dataId，要求非空"
                    raw_data["result"]["status"] = 2
                    raw_data["result"]["message"] = "请检查content/fieldName/dataId，要求非空"

                res_tmp_json = json.dumps(res_tmp, ensure_ascii=False)
                raw_data["result"]["results"]=res_tmp_json
                logging.info("结果数据为：{}".format(raw_data))
                to_kafka.send_kafka(raw_data, logging)
            else:
                # 暂无任务，进入休眠
                time.sleep(10)
        except:
            raw_data["result"]={}
            raw_data["result"]["successCode"] = "0"
            raw_data["result"]["errorLog"] = traceback.format_exc()
            res_tmp["status"] = 3
            raw_data["result"]["status"] = 2
            raw_data["result"]["message"] = "异常"
            raw_data["result"]["results"] = json.dumps(res_tmp, ensure_ascii=False)
            logging.error(traceback.format_exc())
            to_kafka.send_kafka(raw_data, logging)