BIDI_ML_INFO_EXTRACTION/BiddingKG/dl/interface/test/1.py

'''
Created on 2019年8月2日

@author: User
'''

import sys
import os
from BiddingKG.dl.common.Utils import save,load
import codecs
from threading import Thread
import requests
sys.path.append(os.path.abspath("../.."))

#不使用gpu加速
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" 
os.environ["CUDA_VISIBLE_DEVICES"] = ""

import redis
import BiddingKG.dl.interface.settings as settings
import time
import json
import numpy as np

import logging
import BiddingKG.dl.interface.predictor as predictor
import BiddingKG.dl.interface.Preprocessing as Preprocessing
import BiddingKG.dl.interface.getAttributes as getAttributes
import pickle
import run_utils



codeNamePredict = predictor.CodeNamePredict()
premPredict = predictor.PREMPredict()
epcPredict = predictor.EPCPredict()
roleRulePredict = predictor.RoleRulePredictor()

# 连接redis数据库
db = redis.StrictRedis(host=settings.REDIS_HOST, port=settings.REDIS_PORT,
                       db=6,password=settings.REDIS_PASS)
''''''



def thread_run_model(_id,_jointime,list_articles,list_sentences,list_entitys):
    '''
    @summary: run_model处理线程
    '''
    start_time = time.time()
    #list_articles,list_sentences,list_entitys = _data
                    
    codeName = codeNamePredict.predict(list_articles)
    codename_time = time.time()
    
    premPredict.predict(list_sentences,list_entitys)
    prem_time = time.time()
    roleRulePredict.predict(list_articles,list_sentences, list_entitys,codeName)
    epcPredict.predict(list_sentences,list_entitys)
    epc_time = time.time()
    
    prem = getAttributes.getPREMs(list_sentences,list_entitys,list_articles)
    
    att_time = time.time()
    step = 4
    '''
    for entitys in list_entitys:
        for entity in entitys:
            print(entity.entity_text,entity.entity_type,entity.values)
    '''
    if not run_utils.run_timeout(db,_id,"model_after",_jointime,_data,"123"):
        union = Preprocessing.union_result(codeName,prem)
        step = 5
        for item in union:
            db.set(item[0],json.dumps(item[1],cls=run_utils.MyEncoder))
        step = 6
        #Preprocessing.persistenceData1(list_entitys, list_sentences)
        #Preprocessing.persistenceData(union)
        #Preprocessing.dropTempDatas(ContentIDs)
        #print(step)
        '''
        print("codename:",codename_time-process_time)
        print("prem",prem_time-codename_time)
        print("epc",epc_time-prem_time)
        print("getatt",time.time()-epc_time)
        '''
        #print("process cost"+str(process_time)+" with length:"+str(len(q['content'])))
        
def thread_run_preprocess(_id,_jointime,ContentIDs):
    '''
    @summary: 线程处理
    '''
    try:
        list_articles,list_sentences,list_entitys = Preprocessing.get_preprocessed(ContentIDs,useselffool=True)
        
        _index = 0
        for ContentID in ContentIDs:
            _id = ContentID[0]
            _content = ContentID[1]
            _join_time = ContentID[2]
            _doc_id = ContentID[3]
            _title = ContentID[4]
            if not run_utils.run_timeout(db,_id,"preprocess_after",_jointime,_content,_doc_id):
                pass
                '''
                article = list_articles[_index]
                sentences = list_sentences[_index]
                entitys = list_entitys[_index]
                preprocess_data = dict()
                preprocess_data["id"] = _id
                preprocess_data["jointime"] = _jointime
                preprocess_data["data"] = [[article],[sentences],[entitys]]
                db.rpush(settings.PREPROCESS_QUEUE,pickle.dumps(preprocess_data))
                '''
            _index += 1
                
    except Exception as e:
        print(str(e))
        
    return

def test(name,content):
    user = {
            "content": content,
            "id":name
            }
    myheaders = {'Content-Type': 'application/json'}
    _resp = requests.post("http://192.168.2.101:15015" + '/article_extract', json=user, headers=myheaders, verify=True)
    resp_json = _resp.content.decode("utf-8")
    print(resp_json)
    return resp_json

if __name__=="__main__":
    '''
    queue = load("err.pk")
    print(queue)
    data = json.loads(queue[1].decode())
    _data = data["content"]
    test("12",_data)
    
    list_articles,list_sentences,list_entitys = Preprocessing.get_preprocessed([["123",_data,time.time(),"123",""]], useselffool=True)
    print(data["error"])
    print(1)
    while(True):
        _id = "123"
        _jointime = time.time()
        if not run_utils.run_timeout(db,_id,"model_before",_jointime,_data,"213"):
            _timeout = run_utils.getTimeOut(_jointime)
            if _timeout>0:
                #t = Thread(target = thread_run_model, args=(_id,_jointime,list_articles,list_sentences,list_entitys))
                t = Thread(target=thread_run_preprocess,args=(_id,_jointime,[["123",_data,time.time(),"123",""]]))
                t.start()
                t.join(timeout=_timeout)
                print(time.time()-_jointime,t.isAlive())
                if t.isAlive():
                    run_utils.stop_thread(t)
                    #db.rpush(settings.TIMEOUT_QUEUE,pickle.dumps())
    '''
    print(2)
    while(True):
        queue = db.blpop(settings.ERROR_QUEUE)
        if queue:
            print(3)
            break
    save(queue,"err.pk")