import sys
import os
from threading import Thread
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 time
import json
import numpy as np
import BiddingKG.dl.interface.settings as settings
import BiddingKG.dl.interface.Preprocessing as Preprocessing
import logging
import pickle
import run_utils


logging.basicConfig(filename=settings.LOG_FILE, level=settings.LOG_LEVEL,
                    format=settings.LOG_FORMAT, datefmt=settings.DATE_FORMAT)

logger = logging.getLogger(__name__)


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


def thread_run_preprocess(_id,_jointime,ContentIDs):
    '''
    @summary: 线程处理
    '''
    try:
        start_time = time.time()
        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):
                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))
                logger.info(msg="preprocess cost "+str(time.time()-start_time)+" with length: "+str(len(article.content)))
            _index += 1
                
        process_time = time.time()-start_time
    except Exception as e:
        logger.info("error"+str(e))
        db.set(_id,run_utils.TIMEOUT_RES)
        
    return
    

#循环从redis队列中取数据处理，处理结果保存到redis
def redis_process():
    len_processed = 0
    MAX_LEN = 0
    step = 0
    while(True):
        try:
            #拿到队列，若需要多进程处理，需要改成带锁机制的弹出
            #queue = db.lrange(settings.CONTENT_QUEUE,0,settings.BATCH_SIZE-1)
            step = 0
            all_len = 0
            ContentIDs = []
            start_time = time.time()
            _id = "None";
            while(True):
                try:
                    queue = db.lpop(settings.CONTENT_QUEUE)
                    if queue:
                        q = json.loads(queue.decode("utf-8"))
                        _id = q['id']
                        _content = q['content']
                        _doc_id = q['doc_id']
                        _title = q['title']
                        _jointime = q['jointime']
                        if not run_utils.run_timeout(db,_id,"preprocess_before",_jointime,_content,_doc_id):
                            ContentIDs.append([_id,_content,_jointime,_doc_id,_title])
                            all_len += len(q['content'])
                            if all_len>MAX_LEN:
                                break
                    else:
                        break
                except Exception as e:
                    logger.info("error"+str(e))
                
            if ContentIDs:
                _timeout = run_utils.getTimeOut(_jointime)
                if _timeout>0:
                    t = Thread(target=thread_run_preprocess,args=(_id,_jointime,ContentIDs))
                    t.daemon = True
                    t.start()
                    t.join(_timeout)
                    if t.isAlive():
                        run_utils.stop_thread(t)
                        run_utils.run_timeout(db,_id,"preprocess_ing",_jointime,_content,_doc_id)
                    t._stop()
                    t._delete()
                
                
        except Exception as e:
            logger.info("error preprocessing"+str(e))
            q["error"] = str(e)
            q["step"] = "step:"+str(step)
            q["content"] = _content
            db.rpush(settings.ERROR_QUEUE, json.dumps(q,cls=run_utils.MyEncoder))
            db.set(_id,run_utils.TIMEOUT_RES)
        # 短暂等待
        time.sleep(settings.SERVER_SLEEP)
# if this is the main thread of execution start the model server process
if __name__ == "__main__":
    if len(sys.argv)>1:
        if "yes" in sys.argv:
            os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" 
            os.environ["CUDA_VISIBLE_DEVICES"] = ""
    logging.info("BiddingKG preprocessing Server runing ")
    redis_process()