__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 LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload as DBDownload
import time, datetime
from pandas.core.frame import DataFrame
from apscheduler.schedulers.blocking import BlockingScheduler
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.DataStatistics import DataSta
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.SC_CtrlSafty import CtrlSafty
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.DiagDataMerge import DiagDataMerge
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.SC_SamplingSafty import SamplingSafty
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.SC_BMSUploadError import BMSReportError
from LIB.MIDDLE.SaftyCenter.DataDiag_Static import CBMSBatDiag
from LIB.MIDDLE.SaftyCenter.Common import DBDownload as DBDw
from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import BatParam as QX_BatteryParam
from urllib import parse
import pymysql
#...................................电池包电芯安全诊断函数......................................................................................................................
def diag_cal():
task_on=1
global SNnums
# global df_Diag_Ram
global start
# 更新sn列表
host='rm-bp10j10qy42bzy0q7.mysql.rds.aliyuncs.com'
port=3306
db='qixiang_oss'
user='qx_algo_rw'
password='qx@123456'
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 where status in (1,2,3)")
res = cursor.fetchall()
df_sn = pd.DataFrame(res, columns=['sn', 'imei', 'add_time'])
df_sn = df_sn.reset_index(drop=True)
cursor.close()
conn.close();
# 故障映射表
host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
port=3306
db='algo_dict'
user='qx_algo_rw'
password=parse.quote_plus('qx@123456')
db_engine = create_engine(
"mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
user, password, host, port, db
))
errorcode_map = pd.read_sql("select * from faultcode_map", db_engine)
db_engine.dispose()
# 算法参数
host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
port=3306
db='safety_platform'
user='qx_algo_rw'
password=parse.quote_plus('qx@123456')
db_engine = create_engine(
"mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
user, password, host, port, db
))
#............................模块运行前，先读取数据库中所有结束时间为0的数据，需要从数据库中读取................``
# print("select start_time, end_time, product_id, code, level, info, advice, factory from {}".format(tablename))
try:
df_Diag_Ram=pd.read_sql("select start_time, end_time, product_id, code, level, info, advice, Batpos from all_fault_info where end_time='0000-00-00 00:00:00' ", db_engine)
finally:
db_engine.dispose()
# df_Diag_Ram=df_Diag_Ram.dropna(axis=1,how='any')
# df_Diag_Ram=df_Diag_Ram.reset_index(drop=True)
#读取结果数据库数据........................................................................................................................................................
host1='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
port1=3306
db1='qx_cas'
user1='qx_algo_rw'
password1='qx@123456'
mode=1
tablename1='cellstateestimation_soh'
tablename2='cellstateestimation_uniform_socvoltdiff'
DBRead=DBDownload.DBDownload(host1, port1, db1, user1, password1,mode)
DBRead.connect()
#读取电池当前运营状态.....................................................................................................................................................
host2='rm-bp10j10qy42bzy0q7.mysql.rds.aliyuncs.com'
port2=3306
db2='qixiang_manage'
user2='qx_algo_rw'
password2='qx@123456'
mode=4
tablename3='py_battery'
DBReadOpe=DBDw.DBDownload(host2, port2, db2, user2, password2,mode)
DBReadOpe.connect()
host3='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
port3=3306
db3='safety_platform'
user3='qx_algo_rw'
password3='qx@123456'
db_engine = create_engine(
"mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
user3, parse.quote_plus(password3), host3, port3, db3
))
conn_platform = pymysql.connect(host=host3, port=port3, user=user3, password=password3, database=db3)
cursor_platform = conn_platform.cursor()
#..................................设置时间..........................................................
start=time.time()
end_time=datetime.datetime.now()
start_time=end_time-datetime.timedelta(seconds=900)#15分钟跑一次，一次取15分钟数据
start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
end_time=end_time.strftime('%Y-%m-%d %H:%M:%S')
logger.info(" diag_cal START!")
for i in range(0, len(df_sn)):
print(df_sn.loc[i, 'imei'])
try:
sn = df_sn.loc[i, 'sn']
factory = "骑享"
if df_sn.loc[i, 'imei'][5:9] == 'N640':
celltype=1 #6040三元电芯
FactoryType = 1
elif df_sn.loc[i, 'imei'][5:9] == 'N440':
celltype=2 #4840三元电芯
FactoryType = 1
elif df_sn.loc[i, 'imei'][5:9] == 'L660':
celltype=99 # 6060锂电芯
FactoryType = 1
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
FactoryType = 3
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
FactoryType = 2
elif 'TJMCL'in sn: # 金茂
celltype=100 #CATL 50ah三元电芯
factory = "金茂换电"
FactoryType = 0
else:
logger.info("pid-{} celltype-{} SN: {} SKIP!".format(os.getpid(), "未知", sn))
continue
logger.info("pid-{} celltype-{} SN: {} START!".format(os.getpid(), celltype, sn))
# sys.exit()
param=QX_BatteryParam.BatParam(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_bms=df_bms.dropna(subset=['总电流[A]'])
df_bms=df_bms.reset_index(drop=True)
# with DBRead as DBRead:
df_soh=DBRead.getdata('time_st,sn,soh,cellsoh', tablename=tablename1, sn=sn, timename='time_sp', st=start_time, sp=end_time)
df_uniform=DBRead.getdata('time,sn,cellsoc_diff,cellmin_num,cellmax_num', tablename=tablename2, sn=sn, timename='time', st=start_time, sp=end_time)
# with DBReadOpe as DBReadOpe:
df_OprtnSta=DBReadOpe.getdata('qrcode','status', tablename=tablename3, sn=sn, timename='', st='', sp='',factory='')#取最后一条运营状态
#电池诊断.....................................................................................................................................................................
CellFltInfo=DataFrame(columns=['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice'])
df_Diag_Ram_sn = df_Diag_Ram.loc[df_Diag_Ram['product_id']==sn]#历史故障
df_Diag_Ram_sn_else = df_Diag_Ram.loc[df_Diag_Ram['product_id']!=sn]#sn之外的故障
CellFltInfo = df_Diag_Ram_sn.drop('Batpos',axis=1)
#获取当前故障电池的历史故障信息↑↑↑↑↑↑↑↑↑↑↑.......................................................................................................................................
if not df_bms.empty:
df_Diag_Batdiag_update_xq=SamplingSafty.main(sn,param,df_bms,CellFltInfo)#采样安全
df_Diag_Batdiag_update_xq2=CtrlSafty.main(sn,param,df_bms,df_Diag_Batdiag_update_xq)#控制安全
batDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform, df_Diag_Batdiag_update_xq2)#鹏飞计算
# df_Diag_Batdiag_update2=batDiag.diag()
# df_Diag_Batdiag_update=BMSReportError.main(sn,df_bms,df_Diag_Batdiag_update2,FactoryType,errorcode_map)
df_Diag_Batdiag_update=batDiag.diag()
# df_Diag_Batdiag_update=BatDiag.diag()
else:
df_Diag_Batdiag_update_xq=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
df_Diag_Batdiag_update_xq2=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
df_Diag_Batdiag_update=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
df_Diag_Ram_add,df_Diag_Ram_Update=DiagDataMerge.DetaMerge(df_Diag_Ram_sn,df_Diag_Batdiag_update,df_OprtnSta,df_Diag_Ram_sn_else)
# df_Diag_Ram.to_csv('df_Diag_Ram.csv')
# df_Diag_Ram_add.to_csv('df_Diag_Ram_add.csv')
# df_Diag_Ram_Update.to_csv('df_Diag_Ram_add.csv')
if len(df_Diag_Ram_add) > 0:#新增故障
df_Diag_Ram_add.columns = ['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice', 'Batpos']
df_Diag_Ram_add['factory'] = factory
df_Diag_Ram_add['add_time'] = datetime.datetime.now()
df_Diag_Ram_add.to_sql("all_fault_info",con=db_engine, if_exists="append",index=False)
# df_Diag_Ram_add.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\01Screen_Problem\result_add.csv',index=False,encoding='GB18030')
if len(df_Diag_Ram_Update) > 0:#更改故障
df_Diag_Ram_Update = df_Diag_Ram_Update.reset_index(drop=True)
try:
for i in range(0,len(df_Diag_Ram_Update)):
sql = '''
update all_fault_info set update_time='{}', end_time='{}', Batpos={} where product_id='{}' and code={} and start_time='{}'
'''.format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), df_Diag_Ram_Update.loc[i,'end_time'], df_Diag_Ram_Update.loc[i, 'Batpos'],
df_Diag_Ram_Update.loc[i,'product_id'], df_Diag_Ram_Update.loc[i,'code'],
df_Diag_Ram_Update.loc[i,'start_time'])
cursor_platform.execute(sql)
conn_platform.commit()
except:
logger.error(sql)
logger.error(traceback.format_exc)
logger.error(u"{} ：{},{} 任务运行错误\n".format(sn,start_time,end_time), exc_info=True)
# df_Diag_Ram_Update_change.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\01Screen_Problemm\result_change.csv',index=False,encoding='GB18030')
end=time.time()
logger.info("pid-{} celltype-{} SN: {} DONE!".format(os.getpid(), celltype, sn))
except Exception as e :
logger.error(traceback.format_exc)
logger.error(str(e))
logger.error(u"{} ：{},{} 任务运行错误\n".format(sn,start_time,end_time), exc_info=True)
DBReadOpe.close()
DBRead.close()
cursor_platform.close()
conn_platform.close()
db_engine.dispose()
logger.info(" diag_cal Done!")
task_on=0
#.................................统计程序...............................
def DaTa_Sta_Week_Task():
task_on=1
factory_info=['骑享','金茂换电']
all_period_fault_info=DataFrame(columns=['factory','week','level1_count','level2_count','level3_count','level4_count','level5_count','solve_rate'])
#............................获取数据................................
host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
port=3306
db='safety_platform'
user='qx_algo_rw'
password='qx@123456'
mode=2
tablename1='all_fault_info'
db_engine = create_engine(
"mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
user, parse.quote_plus(password), host, port, db
))
try:
logger.info("DaTa_Sta_Week_Task START!")
df_fltinfopt=DataFrame(columns=['product_id','level','code','start_time','end_time','batpos','factory'])
DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
for i in range (0,len(factory_info)):
with DBRead as DBRead:
df_fltinfo=DBRead.getdata('product_id','level','code','start_time','end_time','batpos','factory',tablename=tablename1,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
df_fltinfopt=df_fltinfopt.append(df_fltinfo)
df_fltinfopt=df_fltinfopt.reset_index(drop=True)
for j in range(0,len(factory_info)):
toweek='Week'+time.strftime('%W')
df_fltinfo=df_fltinfopt[df_fltinfopt['factory']==factory_info[j]]
#............................获取时间................................
end_time=datetime.datetime.now()
# end_time=datetime.datetime.strptime(end_time,'%Y-%m-%d')
start_time_week=end_time-datetime.timedelta(days=7)
start_time_week=start_time_week.strftime('%Y-%m-%d')
end_time=end_time.strftime('%Y-%m-%d')
FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time_week,end_time,factory_info[j])
FaultLvlCount=DataSta.WeekInfoSta(df_fltinfo,start_time_week,end_time)
for i in range(1,6):
if not FaultLvlCount[FaultLvlCount['level']==i]['product_id'].empty:
all_period_fault_info.loc[j,'level'+str(i)+'_count']=int(FaultLvlCount[FaultLvlCount['level']==i]['product_id'].values)
else:
all_period_fault_info.loc[j,'level'+str(i)+'_count']=int(0)
all_period_fault_info.loc[j,'factory']=factory_info[j]
all_period_fault_info.loc[j,'week']=toweek
all_period_fault_info.loc[j,'solve_rate']=FltAlarmInfo.loc[0,'OprationManageRate']
all_period_fault_info.fillna(0,inplace=False)
if not all_period_fault_info.empty:
all_period_fault_info.to_sql('all_period_fault_info', db_engine, if_exists='append', index=False)
logger.info("DaTa_Sta_Week_Task DONE!")
except Exception as e:
logger.error(traceback.format_exc)
logger.error(u" 任务运行错误\n".format(), exc_info=True)
finally:
db_engine.dispose()
task_on=0
# all_period_fault_info.to_csv('all_period_fault_info.csv')
def DaTa_Sta_Minutes_Task():
task_on=1
factory_info=['骑享','金茂换电']
#............................获取数据................................
host='172.16.121.236'
port=3306
db='fastfun'
user='readonly'
password='Fast1234'
mode=3
tablename1='ff_battery_accum'
tablename2='ff_location'
DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
with DBRead as DBRead:
df_last_accum=DBRead.getdata('devcode','dsg_phaccum','dsg_ahaccum',tablename=tablename1,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
df_last_pos=DBRead.getdata('devcode','latitude','longitude',tablename=tablename2,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
port=3306
db='qx_cas'
user='qx_algo_rw'
password='qx@123456'
mode=3
tablename2='bat_first_data_time'
DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
with DBRead as DBRead:
df_FirstDataTime=DBRead.getdata('sn','first_data_time',tablename=tablename2,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
port=3306
db='safety_platform'
user='qx_algo_rw'
password='qx@123456'
mode=2
tablename1='all_fault_info'
db_engine = create_engine(
"mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
user, parse.quote_plus(password), host, port, db
))
DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
#............................获取时间................................
end_time=datetime.datetime.now()
# end_time=datetime.datetime.strptime(end_time,'%Y-%m-%d')
start_time=end_time-datetime.timedelta(days=1)
start_time=start_time.strftime('%Y-%m-%d')
end_time=end_time.strftime('%Y-%m-%d')
#............................执行程序................................
all_statistic_info=DataFrame(columns=['factory','total_alarm','alarm_total_today','alarm_not_close_today','alarm_close_today','alarm_uregent_total_today','alarm_uregent_close_today','alarm_uregent_not_close_today','run_time_total','dischrg_total','odo_total','max_dischrg_one','max_runtime_one','max_cycle_one','max_odo_one','alarm_close_total','alarm_total','cell_type','cell_type_count','cell_safety_risk_count','data_safety_risk_count','status_safety_risk_count','hv_safety_risk_count','system_safety_risk_count','sample_safety_risk_count','controller_safety_risk_count','design_safety_risk_count'])
for j in range(0,len(factory_info)):
with DBRead as DBRead:
df_fltinfo=DBRead.getdata('product_id','level','code','start_time','batpos',tablename=tablename1,factory=factory_info[j],sn='',timename='',st='',sp='')#dbdownload经过了改编
#............................执行程序................................
FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time,end_time,factory_info[j])
SatftyCount=DataSta.SftyWrngClsfy(df_fltinfo)
MaxAccumAh,TotalAccumAh,MaxCycle,MaxRunningHour,TotalRunHour=DataSta.AccumInfo(df_last_accum,df_FirstDataTime,end_time,factory_info[j])
all_location_info=DataSta.FltBatPosition(df_last_pos,df_fltinfo,factory_info[j])
all_statistic_info.loc[j,'factory']=factory_info[j]
all_statistic_info.loc[j,'total_alarm']=FltAlarmInfo.loc[0,'SftyPlt_Data_Total']
all_statistic_info.loc[j,'alarm_total_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']
all_statistic_info.loc[j,'alarm_close_today']=FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
all_statistic_info.loc[j,'alarm_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']-FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
all_statistic_info.loc[j,'alarm_uregent_total_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']
all_statistic_info.loc[j,'alarm_uregent_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
all_statistic_info.loc[j,'alarm_uregent_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']-FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
all_statistic_info.loc[j,'run_time_total']=TotalRunHour
all_statistic_info.loc[j,'dischrg_total']=TotalAccumAh
all_statistic_info.loc[j,'odo_total']=0
all_statistic_info.loc[j,'max_dischrg_one']=MaxAccumAh
all_statistic_info.loc[j,'max_runtime_one']=MaxRunningHour
all_statistic_info.loc[j,'max_cycle_one']=MaxCycle
all_statistic_info.loc[j,'max_odo_one']=0
all_statistic_info.loc[j,'alarm_close_total']=FltAlarmInfo.loc[0,'CS_Warning_Total_Finish_Count']
all_statistic_info.loc[j,'alarm_total']=FltAlarmInfo.loc[0,'SftyPlt_Data_Total']
CellType=Celltype.columns.tolist()
CellType=','.join(CellType)
all_statistic_info.loc[0,'cell_type']=str(CellType)
CellTypeCount=Celltype.loc[0].tolist()
CellTypeCount=[str(x) for x in CellTypeCount]
CellTypeCount=','.join(CellTypeCount)
all_statistic_info.loc[j,'cell_type_count']=str(CellTypeCount)
all_statistic_info.loc[j,'cell_safety_risk_count']=SatftyCount.loc[0,'CellSaftyCount']
all_statistic_info.loc[j,'data_safety_risk_count']=SatftyCount.loc[0,'DataSaftyCodeCount']
all_statistic_info.loc[j,'status_safety_risk_count']=SatftyCount.loc[0,'StateSaftyCodeCount']
all_statistic_info.loc[j,'hv_safety_risk_count']=SatftyCount.loc[0,'HvSaftyCodeCount']
all_statistic_info.loc[j,'system_safety_risk_count']=SatftyCount.loc[0,'SysSaftyCodeCount']
all_statistic_info.loc[j,'sample_safety_risk_count']=SatftyCount.loc[0,'SamplingSatyCount']
all_statistic_info.loc[j,'controller_safety_risk_count']=SatftyCount.loc[0,'CtrlSaftyCodeCount']
all_statistic_info.loc[j,'design_safety_risk_count']=SatftyCount.loc[0,'DsnSaftyCodeCount']
# all_statistic_info.to_csv('all_statistic_info.csv')
#
try:
logger.info("DaTa_Sta_Minutes_Task START!")
# 更新统计信息
conn = pymysql.connect(host=host, port=port, user=user, password=password, database=db)
cursor = conn.cursor()
sql = ''' update all_statistic_info set update_time='{}', total_alarm={}, alarm_total_today={}, alarm_close_today={}, alarm_not_close_today={},
alarm_uregent_total_today={}, alarm_uregent_close_today={},alarm_uregent_not_close_today={},run_time_total={},dischrg_total={},
odo_total={},max_dischrg_one={},max_runtime_one={},max_cycle_one={},max_odo_one={},alarm_close_total={},alarm_total={},cell_type='{}',
cell_type_count='{}',cell_safety_risk_count={}, data_safety_risk_count={},status_safety_risk_count={},hv_safety_risk_count={},
system_safety_risk_count={},sample_safety_risk_count={},controller_safety_risk_count={},design_safety_risk_count={}
where factory='{}'
'''.format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), all_statistic_info.loc[j,'total_alarm'], all_statistic_info.loc[j,'alarm_total_today'],all_statistic_info.loc[j,'alarm_close_today'],
all_statistic_info.loc[j,'alarm_not_close_today'],all_statistic_info.loc[j,'alarm_uregent_total_today'],all_statistic_info.loc[j,'alarm_uregent_close_today'],
all_statistic_info.loc[j,'alarm_uregent_not_close_today'],all_statistic_info.loc[j,'run_time_total'],all_statistic_info.loc[j,'dischrg_total'],
all_statistic_info.loc[j,'odo_total'],all_statistic_info.loc[j,'max_dischrg_one'],all_statistic_info.loc[j,'max_runtime_one'],
all_statistic_info.loc[j,'max_cycle_one'],all_statistic_info.loc[j,'max_odo_one'],all_statistic_info.loc[j,'alarm_close_total'],
all_statistic_info.loc[j,'alarm_total'],all_statistic_info.loc[j,'cell_type'],all_statistic_info.loc[j,'cell_type_count'],
all_statistic_info.loc[j,'cell_safety_risk_count'],all_statistic_info.loc[j,'data_safety_risk_count'],all_statistic_info.loc[j,'status_safety_risk_count'],
all_statistic_info.loc[j,'hv_safety_risk_count'],all_statistic_info.loc[j,'system_safety_risk_count'],all_statistic_info.loc[j,'sample_safety_risk_count'],
all_statistic_info.loc[j,'controller_safety_risk_count'],all_statistic_info.loc[j,'design_safety_risk_count'],all_statistic_info.loc[j,'factory'])
cursor.execute(sql)
conn.commit()
# 更新故障位置信息
if not all_location_info.empty:
sql = "delete from all_fault_location_info where factory='{}'".format(all_statistic_info.loc[j,'factory'])
cursor.execute(sql)
all_location_info.to_sql('all_fault_location_info', db_engine, if_exists='append', index=False)
conn.commit()
logger.info("DaTa_Sta_Minutes_Task DONE!")
except:
logger.error(traceback.format_exc)
logger.error(u"{},{} 任务运行错误\n".format(start_time,end_time), exc_info=True)
finally:
conn.close();
db_engine.dispose();
task_on=0
if __name__ == "__main__":
# # 时间设置
# now_time = datetime.datetime.now()
# pre_time = now_time + dateutil.relativedelta.relativedelta(hours=-1)#上小时时间
# end_time=datetime.datetime.strftime(now_time,"%Y-%m-%d %H:00:00")
# start_time=datetime.datetime.strftime(pre_time,"%Y-%m-%d %H: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='qx_algo_rw'
# password='qx@123456'
# 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 where status in (1,2,3)")
# res = cursor.fetchall()
# df_sn = pd.DataFrame(res, columns=['sn', 'imei', 'add_time'])
# df_sn = df_sn.reset_index(drop=True)
# cursor.close()
# conn.close();
# df_sn['factory'] = '骑享'
# db = 'qx_cas'
# conn = pymysql.connect(host=host, port=port, user=user, password=password, database=db)
# cursor = conn.cursor()
# cursor.execute("select sn, factory from sn_list")
# res = cursor.fetchall()
# df_sn2 = pd.DataFrame(res, columns=['sn', 'factory'])
# df_sn2['imei'] = ""
# df_sn = pd.concat([df_sn, df_sn2], axis=0)
# df_sn = df_sn.reset_index(drop=True)
# # 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)
# 日志配置
now_str = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()).replace(":","_")
log_path = 'log/' + now_str
if not os.path.exists(log_path):
os.makedirs(log_path)
log = Log.Mylog(log_name='saftyCenter_DataSta&Static', 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_algo_rw'
password=parse.quote_plus('qx@123456')
tablename='all_fault_info'
db_engine = create_engine(
"mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
user, password, host, port, db
))
#............................模块运行前，先读取数据库中所有结束时间为0的数据，需要从数据库中读取................``
# print("select start_time, end_time, product_id, code, level, info, advice, factory from {}".format(tablename))
try:
df_Diag_Ram=pd.read_sql("select start_time, end_time, product_id, code, level, info, advice, Batpos from all_fault_info", db_engine)
finally:
db_engine.dispose()
# result = result[['start_time', 'end_time', 'product_id', 'code', 'level', 'info', 'advice']]
# df_Diag_Ram=result[result['end_time']=='0000-00-00 00:00:00']
global task_on
task_on=0
diag_cal()
# DaTa_Sta_Minutes_Task()
# DaTa_Sta_Week_Task()
#定时任务.......................................................................................................................................................................
scheduler = BlockingScheduler()
if task_on==0:
scheduler.add_job(diag_cal, 'interval', seconds=900, id='diag_job')
scheduler.add_job(DaTa_Sta_Week_Task, 'interval',start_date='2021-11-15 08:00:00', days=7, id='Week_Task')
scheduler.add_job(DaTa_Sta_Minutes_Task, 'interval', seconds=180, id='Minutes_Task')
try:
scheduler.start()
except Exception as e:
scheduler.shutdown()
logger.error(str(e))