data_analyze_platform/LIB/FRONTEND/SaftyCenter/Liplated/deploy_7255_other.py

__author__ = 'lmstack'
#coding=utf-8
import os
import datetime
import pandas as pd
from LIB.BACKEND import DBManager, Log
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import time, datetime
import dateutil.relativedelta
import traceback
from LIB.MIDDLE.CellStateEstimation.Common import log
from pandas.core.frame import DataFrame
from LIB.MIDDLE.SaftyCenter.Common import QX_BatteryParam
from LIB.MIDDLE.SaftyCenter.diagfault.SC_SamplingSafty import SamplingSafty

from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload
from urllib import parse
import pymysql
import pdb
from apscheduler.schedulers.blocking import BlockingScheduler
import datacompy
from LIB.MIDDLE.SaftyCenter.Liplated import Li_plated
from LIB.MIDDLE.SaftyCenter.diagfault.SC_SamplingSafty import SamplingSafty


def cell_platd_test(df_sn, df_first_data_time):
    # 读取结果数据库
    host2='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port2=3306
    db2='qx_cas'
    user2='qx_read'
    password2='Qx@123456'
    
    db_engine = create_engine(
        "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
            user, password, host, port, database
        ))
        
    start=time.time()
    end_time=datetime.datetime.now()
    start_time=end_time-datetime.timedelta(days=90)
    start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
    end_time=end_time.strftime('%Y-%m-%d %H:%M:%S')
    logger.info("cycle start !!!!!!!!!!!!!!!!!!!!")
    

    for i in range(0, len(df_sn)):
        try:
            if df_sn.loc[i, 'imei'][5:9] == 'N640':
                celltype=1 #6040三元电芯
            elif df_sn.loc[i, 'imei'][5:9] == 'N440':
                celltype=2 #4840三元电芯
            elif df_sn.loc[i, 'imei'][5:9] == 'L660':
                celltype=99 # 6060锂电芯
            elif df_sn.loc[i, 'imei'][3:5] == 'LX' and df_sn.loc[i, 'imei'][5:9] == 'N750':    
                celltype=3 #力信 50ah三元电芯
            # elif df_sn.loc[i, 'imei'][3:5] == 'CL' and df_sn.loc[i, 'imei'][5:9] == 'N750': 
            #     celltype=4 #CATL 50ah三元电芯
            else:
                logger.info("pid-{} celltype-{} SN: {} SKIP!".format(os.getpid(), "未知", sn))
                continue
            sn = df_sn.loc[i, 'sn']
            logger.info("pid-{} celltype-{} SN: {} START!".format(os.getpid(), celltype, sn))
                
                
            param=QX_BatteryParam.BatteryInfo(celltype)   
            #读取原始数据库数据........................................................................................................................................................
            dbManager = DBManager.DBManager()
            df_data = dbManager.get_data(sn=sn, start_time=start_time, end_time=end_time, data_groups=['bms'])
            df_bms = df_data['bms']
     
            df_Diag_lipltd = pd.DataFrame(columns = ['sn','time','liplated', 'liplated_amount'])

            df_Diag_lipltd_add = pd.DataFrame(columns = ['sn','time','liplated', 'liplated_amount'])

            df_diag_sor = pd.DataFrame(columns = ['sn','time','sorout_confr', 'sorout_amplt'])
            df_diag_vol = pd.DataFrame(columns = ['sn','time','volout_confr', 'volout_amplt'])
            df_diag_volsor = pd.DataFrame(columns = ['sn','time','volsorout_confr', 'volsorout_amplt'])

            #析锂诊断................................................................................................................................................................
            if not df_bms.empty:
                Diag_lipltd_temp = Li_plated.Liplated_test(sn,celltype,df_bms)#析锂检测
                df_Diag_lipltd_add = Diag_lipltd_temp.liplated_detect()   

                # Diag_sorvol_temp = vol_sor_est.vol_sor_est(sn,celltype,df_bms)#电压内阻估计
                # [df_diag_sor_add, df_diag_vol_add, df_diag_sorvol_add] = Diag_sorvol_temp.volsor_cal()       
            if not df_Diag_lipltd_add.empty:
                df_Diag_lipltd_temp = df_Diag_lipltd.append(df_Diag_lipltd_add)
                df_Diag_lipltd = df_Diag_lipltd_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False)
                df_Diag_lipltd.reset_index(drop = True)
                df_Diag_lipltd.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序
                df_Diag_lipltd['add_time'] = datetime.datetime.now()
                df_Diag_lipltd.to_sql("mechanism_liplated",con=db_engine, if_exists="append",index=False)
            # if not df_diag_sor_add.empty:
            #     df_diag_sor_temp = df_diag_sor.append(df_diag_sor_add)
            #     df_diag_sor = df_diag_sor_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False)
            #     df_diag_sor.reset_index(drop = True)
            #     df_diag_sor.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序
            #     df_diag_sor['add_time'] = datetime.datetime.now()
            #     df_diag_sor.to_sql("mechanism_sorout",con=db_engine, if_exists="append",index=False)
                
            # if not df_diag_vol_add.empty:
            #     df_diag_vol_temp = df_diag_vol.append(df_diag_vol_add)
            #     df_diag_vol = df_diag_vol_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False)
            #     df_diag_vol.reset_index(drop = True)
            #     df_diag_vol.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序
            #     df_diag_vol['add_time'] = datetime.datetime.now()
            #     df_diag_vol.to_sql("mechanism_volout",con=db_engine, if_exists="append",index=False)
        
                            
            # if not df_diag_sorvol_add.empty:
            #     df_diag_volsor_temp = df_diag_volsor.append(df_diag_sorvol_add)
            #     df_diag_volsor = df_diag_volsor_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False)
            #     df_diag_volsor.reset_index(drop = True)
            #     df_diag_volsor.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序
            #     df_diag_volsor['add_time'] = datetime.datetime.now()
            #     df_diag_volsor.to_sql("mechanism_volsorout",con=db_engine, if_exists="append",index=False)

                logger.info("pid-{} celltype-{} SN: {} DONE!".format(os.getpid(), celltype, sn))
        except:
            logger.error(traceback.format_exc)
            logger.error(u"{} ：{},{} 任务运行错误\n".format(sn,start_time,end_time), exc_info=True)
    logger.info("cycle DONE !!!!!!!!!!!!!!!!!!!!")
    db_engine.dispose()

if __name__ == "__main__":
    
    # 时间设置
    # now_time = datetime.datetime.now()
    # pre_time = now_time + dateutil.relativedelta.relativedelta(days=-1)# 前一日
    # end_time=datetime.datetime.strftime(now_time,"%Y-%m-%d 00:00:00")
    # start_time=datetime.datetime.strftime(pre_time,"%Y-%m-%d 00:00:00")
    
    history_run_flag = False # 历史数据运行标志
    

    # 更新sn列表
    host='rm-bp10j10qy42bzy0q7.mysql.rds.aliyuncs.com'
    port=3306
    db='qixiang_oss'
    user='qixiang_oss'
    password='Qixiang2021'
    conn = pymysql.connect(host=host, port=port, user=user, password=password, database=db)
    cursor = conn.cursor()
    cursor.execute("select sn, imei, add_time from app_device")
    res = cursor.fetchall()
    df_sn = pd.DataFrame(res, columns=['sn', 'imei', 'add_time'])
    df_sn = df_sn.reset_index(drop=True)
    conn.close();
    
    # 数据库配置
    host = 'rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port = 3306
    user = 'qx_cas'
    password = parse.quote_plus('Qx@123456')
    database = 'qx_cas'

    db_engine = create_engine(
        "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
            user, password, host, port, database
        ))
    DbSession = sessionmaker(bind=db_engine)
    
    # 运行历史数据配置
    
    df_first_data_time = pd.read_sql("select * from bat_first_data_time", db_engine)
    db_engine.dispose()
    
    # 日志配置
    now_str = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()).replace(":","_")
    log_path = 'log_3month/' + now_str
    if not os.path.exists(log_path):
        os.makedirs(log_path)
    log = Log.Mylog(log_name='saftyCenter_liplatedAll', log_level = 'info')
    log.set_file_hl(file_name='{}/info.log'.format(log_path), log_level='info', size=1024* 1024 * 100)
    log.set_file_hl(file_name='{}/error.log'.format(log_path), log_level='error', size=1024* 1024 * 100)
    logger = log.get_logger()

    logger.info("pid is {}".format(os.getpid()))
    
    # 算法参数
    # host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    # port=3306
    # db='safety_platform'
    # user='qx_read'
    # password=parse.quote_plus('Qx@123456')
    # tablename='all_fault_info'
    # db_res_engine = create_engine(
    #     "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
    #         user, password, host, port, db
    #     ))



    #定时任务.......................................................................................................................................................................
    cell_platd_test(df_sn, df_first_data_time)
    # scheduler = BlockingScheduler()

    # scheduler.add_job(fun, 'interval', seconds=600, id='diag_job')
    # try:  
    #     scheduler.start()
    # except Exception as e:
    #     scheduler.shutdown()
    #     logger.error(str(e))