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- from datetime import datetime, timedelta
- from multiprocessing import Pool
- import json
- import os
- import time
- import traceback
- import warnings
- import sys
- from sqlalchemy import text, delete, and_, or_, update
- import pandas as pd
- from ZlwlAlgosCommon.utils.ProUtils import *
- from ZlwlAlgosCommon.service.iotp.IotpAlgoService import IotpAlgoService
- from ZlwlAlgosCommon.service.iotp.Beans import DataField
- from ZlwlAlgosCommon.orm.models import *
- from socdiag.V_1_0_0.SOCBatDiag_test import SocDiag
- import matplotlib.pyplot as plt
- # from LowSocAlarm.V1_0_0.low_soc_alarm import Low_soc_alarm
- def main(process_num):
- # 程序不能停止
- if (True):
- warnings.filterwarnings("ignore")
- try:
- # 调用算法前的准备工作
- kafka_topic_key = 'topic_test_cez'
- kafka_groupid_key = 'group_id_test_cez'
- algo_list = ['socdiag'] # 本调度所包含的算法名列表。
-
- loggers = sysUtils.get_loggers(algo_list, log_base_path, process_num) # 为每个算法分配一个logger
- logger_main.info(f"process-{process_num}: 配置中间件")
-
- # mysql
- mysql_algo_params = sysUtils.get_cf_param('mysql-algo')
- mysqlUtils = MysqlUtils()
- mysql_algo_engine, mysql_algo_Session= mysqlUtils.get_mysql_engine(mysql_algo_params)
- mysql_algo_conn = mysql_algo_engine.connect()
-
-
- mysql_iotp_data = sysUtils.get_cf_param('mysql-iotp')
- mysqlUtils = MysqlUtils()
- mysql_iotp_engine, mysql_iopt_Session= mysqlUtils.get_mysql_engine(mysql_iotp_data)
- mysql_iotp_conn = mysql_iotp_engine.connect()
-
-
- # # kafka
- # kafka_params = sysUtils.get_cf_param('kafka')
- # kafkaUtils = KafkaUtils()
- # kafka_consumer = kafkaUtils.get_kafka_consumer(kafka_params, kafka_topic_key, kafka_groupid_key, client_id=kafka_topic_key)
- # #Hbase
- hbase_params = sysUtils.get_cf_param('hbase-datafactory')
- iotp_service = IotpAlgoService(hbase_params=hbase_params)
- #redis
- redis_params = sysUtils.get_cf_param('redis')
- reidsUtils = RedisUtils()
- rc = reidsUtils.get_redis_conncect(redis_params)
- except Exception as e:
- logger_main.error(f'process-{process_num}: {e}')
- logger_main.error(f'process-{process_num}: {traceback.format_exc()}')
-
- # 开始准备调度
- # logger_main.info(f"process-{process_num}: 监听topic {kafka_params[kafka_topic_key]}等待kafka 调度")
- logger_main.info(f"process-{process_num}: 开始循环")
- path = '/data/common/benchi/data/'
- sn_list = ['LY9139BB4MALBZ795', 'LY9139BB8MALBZ329', 'LY9F49BCXMALBZ876', 'LY9F49BC7MALBZ883']
- pack_code = 'CL3282A'
- start_time_dts = [pd.to_datetime('2022-07-30 20:00:09'), pd.to_datetime('2022-01-11 14:00:09'), pd.to_datetime('2022-09-07 11:00:09'), pd.to_datetime('2022-01-29 08:00:09')]
- end_time_dts = [pd.to_datetime('2022-07-30 22:00:09'), pd.to_datetime('2022-01-11 15:00:09'), pd.to_datetime('2022-09-07 12:00:09'), pd.to_datetime('2022-01-29 10:00:09')]
- sql = "select * from algo_pack_param"
- df_algo_pack_param_all = pd.read_sql(sql, mysql_algo_conn)
- sql = "select * from algo_list"
- df_algo_param = pd.read_sql(sql, mysql_algo_conn)
- df_algo_pack_param = json.loads(df_algo_pack_param_all[df_algo_pack_param_all['pack_code'] == pack_code]['param'].iloc[0])
- sql = f"select sn, imei from t_device where sn in {tuple(sn_list)}"
- df_snlist = pd.read_sql(sql, mysql_algo_conn)
- for sn, start_time_dt, end_time_dt in zip(sn_list, start_time_dts, end_time_dts):
- try:
- logger_main.info(f'收到{sn}调度')
- if mysql_algo_conn.close:
- mysql_algo_conn = mysql_algo_engine.connect() # 从连接池中获取一个myslq连接
-
- try:
- # df_snlist = [sn]
- # df_algo_adjustable_param = pd.DataFrame([(d['algo_id'], d['param'],d['param_ai']) for d in schedule_params['adjustable_param']], columns=['algo_id', 'param','param_ai'])
- # df_algo_param = pd.DataFrame(schedule_params['algo_list'])
- cell_type = 'CLL027A'
- sn_list=[sn]
- start_time = start_time_dt.strftime('%Y-%m-%d %H:%M:%S')
- end_time = end_time_dt.strftime('%Y-%m-%d %H:%M:%S')
-
- # 取数
- time_st = time.time()
- logger_main.info(f"process-{process_num}: 开始取数{sn_list}")
- columns = [ DataField.time, DataField.sn, DataField.pack_crnt, DataField.pack_volt, DataField.pack_soc,
- DataField.cell_voltage_count, DataField.cell_temp_count, DataField.cell_voltage, DataField.cell_temp,
- DataField.other_temp_value, DataField.bms_sta]
- df_data = iotp_service.get_data(sn_list=sn_list, columns=columns, start_time=start_time, end_time=end_time)
- logger_main.info(f'process-{process_num},从{start_time}到{end_time}获取到{len(df_data)}条数据,取数耗时:{time.time()-time_st}')
- except Exception as e:
- logger_main.error(f"process-{process_num}:{sn}获取原始数据出错")
- logger_main.error(f"process-{process_num}:{e}")
- logger_main.error(f"process-{process_num}:{traceback.format_exc()}")
- continue
-
- # 数据清洗
- try:
- time_st = time.time()
- logger_main.info(f'process-{process_num}数据清洗')
- df_data, df_table, cellvolt_name, celltemp_name = iotp_service.datacleaning(df_algo_pack_param,df_data)#进行数据清洗
- if len(df_data) == 0:
- logger_main.info(f"process-{process_num}: 数据清洗耗时{time.time()-time_st}, 无有效数据,跳过本次运算")
- continue
- else:
- logger_main.info(f"process-{process_num}: {sn}, time_type:{df_data.loc[0, 'time']} ~ {df_data.iloc[-1]['time']}, 数据清洗完成耗时{time.time()-time_st}")
- except Exception as e:
- logger_main.error(f"process-{process_num}:{sn}数据清洗出错")
- logger_main.error(f"process-{process_num}:{e}")
- logger_main.error(f"process-{process_num}:{traceback.format_exc()}")
-
- # # 数据画图
- # plt.figure(figsize=(30, 6))
- # ax1 = plt.subplot(1,2,1)
- # ax1.scatter(list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['time']), list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['pack_soc']), s=2, color='b', label='SOC')
- # ax1.set_xlabel('Date', fontsize=16)
- # ax1.set_ylabel('SOC%', fontsize=16)
- # ax1.set_title(f'sn:{sn}', fontsize=16)
- # ax2 = ax1.twinx()
- # ax2.scatter(list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['time']), list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['pack_volt']), color='r', s=1, label='PackVoltage')
- # ax2.set_ylabel('PackVoltage', fontsize=16)
- # ax1.legend(loc = (.75,.13), fontsize=14)
- # ax2.legend( loc = (.75, .05), fontsize=14)
- # ax3 = plt.subplot(1,2,2)
- # ax3.scatter(list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['time']), list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['pack_soc']), s=2, color='b', label='SOC')
- # ax3.set_xlabel('Date', fontsize=16)
- # ax3.set_ylabel('SOC%', fontsize=16)
- # ax4 = ax3.twinx()
- # ax4.scatter(list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['time']), list(df_data[(df_data['pack_soc'] > 0) & (df_data['pack_soc'] < 100)]['pack_crnt']), color='r', s=1, label='PackCrnt')
- # ax4.set_ylabel('PackCrnt', fontsize=16)
- # ax3.set_title(f'start time: {start_time} end time: {end_time}', fontsize=16)
- # ax3.legend(loc = (.75,.13), fontsize=14)
- # ax4.legend( loc = (.75, .05), fontsize=14)
- # st = start_time_dt.strftime('%Y%m%d%H%M%S')
- # et = end_time_dt.strftime('%Y%m%d%H%M%S')
- # plt.savefig(f'./{sn}_{st}_{et}.jpg')
- # os._exit()
- # continue
-
- # mysql数据读取
- try:
- time_st = time.time()
- logger_main.info(f'process-{process_num}开始读取mysql故障数据')
- if len(sn_list) == 1:
- sql = "select * from algo_all_fault_info_ing where sn = '{}'".format(sn_list[0])
- else:
- sql = "select * from algo_all_fault_info_ing where sn in {}".format(tuple(sn_list)) #fault_code='{}' or fault_code='{}') and 'C599','C590',
- df_diag_ram = pd.read_sql(sql, mysql_algo_conn)
- logger_main.info(f'process-{process_num}读取mysql耗时{time.time()-time_st}')
- except Exception as e:
- logger_main.error(f"process-{process_num}:{sn}读取redis出错")
- logger_main.error(f"process-{process_num}:{e}")
- logger_main.error(f"process-{process_num}:{traceback.format_exc()}")
- continue
- # 算法调用
- try:
- time_st = time.time()
- loggers['socdiag'].info(f'开始执行算法{sn}, time:{start_time}~{end_time},\n sn_list:{sn_list}')
- period = 24*60 #算法周期min
- first = 1
- for t in pd.date_range(start_time_dt, end_time_dt, freq=timedelta(minutes=period)):
- start = t
- end = start + timedelta(minutes=period)
- df_data_range = df_data[(df_data['time'] >= start) & (df_data['time'] < end)]
- if len(df_data_range) == 0:
- continue
- soc_diag = SocDiag(cell_type, df_algo_pack_param, df_algo_param, end.strftime('%Y-%m-%d %H:%M:%S'), period, pack_code, df_snlist, df_data_range)
- df_res_end_C107= soc_diag.soc_jump()
- df_res_new_C109, df_res_end_C109 = soc_diag.soc_block(df_diag_ram)
- df_res_new_soc_1 = df_res_new_C109
- df_res_end_soc_1 = pd.concat([df_res_end_C107, df_res_end_C109])
- if first:
- df_res_new_soc = df_res_new_soc_1
- df_res_end_soc = df_res_end_soc_1
- first = 0
- else:
- df_res_new_soc = pd.concat([df_res_new_soc, df_res_new_soc_1])
- df_res_end_soc = pd.concat([df_res_end_soc, df_res_end_soc_1])
- loggers['socdiag'].info(f'算法运行完成{sn},算法耗时{time.time()-time_st}')
- except Exception as e:
- loggers['socdiag'].error('{}算法运行出错'.format(pack_code))
- loggers['socdiag'].error(str(e))
- loggers['socdiag'].error(traceback.format_exc())
- continue
- # # 算法调用
- # # try:
- # # time_st = time.time()
- # # # loggers['low_soc_diag'].info(f'开始执行算法{pack_code}, time:{start_time}~{end_time},\n sn_list:{sn_list}')
- # # # low_soc_warning = Low_soc_alarm(df_data,cellvolt_name)
- # # # df_res_new_lw_soc, df_res_update_lw_soc,df_res_end_lw_soc= low_soc_warning.diag(df_algo_pack_param,df_algo_param,df_algo_adjustable_param,df_data,df_table,df_diag_ram,df_snlist)
- # # loggers['low_soc_diag'].info(f'算法运行完成{pack_code},算法耗时{time.time()-time_st}')
- # # except Exception as e:
- # # loggers['low_soc_diag'].error('{}算法运行出错'.format(pack_code))
- # # loggers['low_soc_diag'].error(str(e))
- # # loggers['low_soc_diag'].error(traceback.format_exc())
- # # continue
- # df_res_new = df_res_new_soc #, res1
- # # df_res_update=df_res_update_lw_soc#pd.concat([df_res_update_lw_soc,df_res_update_crnt, df_res_update_temp]) #, res1
- # df_res_end = df_res_end_soc #, res2
- # df_res_new.reset_index(drop=True, inplace=True)
- # # df_res_update.reset_index(drop=True, inplace=True)
- # df_res_end.reset_index(drop=True, inplace=True)
- # #结果写入mysql
- # try:
- # time_st = time.time()
- # session = mysql_algo_Session()
- # if not df_res_new.empty:
- # df_res_new['date_info'] = df_res_new['start_time']
- # df_res_new['create_time'] = datetime.now()
- # df_res_new['create_by'] = 'algo'
- # df_res_new['is_delete'] = 0
- # df_res_new.to_sql("algo_all_fault_info_ing", con=mysql_algo_conn, if_exists="append", index=False)
- # logger_main.info(f'process-{process_num}新增未结束故障入库{pack_code}完成')
-
- # if not df_res_end.empty:
- # df_res_end=df_res_end.where(pd.notnull(df_res_end),None)
- # df_res_end=df_res_end.fillna(0)
- # for index in df_res_end.index:
- # df_t = df_res_end.loc[index:index]
- # sql = 'delete from algo_all_fault_info_ing where start_time=:start_time and fault_code=:fault_code and sn=:sn'
- # params = {'start_time': df_t['start_time'].values[0],
- # 'fault_code': df_t['fault_code'].values[0], 'sn': df_t['sn'].values[0]}
- # session.execute(sql, params=params)
- # sql = 'insert into algo_all_fault_info_done (date_info, start_time, end_time, sn, imei, model, fault_level, fault_code, fault_info,\
- # fault_reason, fault_advice, fault_location, device_status,odo, create_time, create_by,update_time, update_by, is_delete,comment) values \
- # (:date_info, :start_time, :end_time, :sn, :imei, :model,:fault_level, :fault_code, :fault_info,\
- # :fault_reason, :fault_advice, :fault_location, :device_status, :odo, :create_time, :create_by, :update_time,:update_by, :is_delete , :comment)'
- # params = {'date_info': datetime.now(),
- # 'start_time': df_t['start_time'].values[0],
- # 'end_time': df_t['end_time'].values[0],
- # 'sn': df_t['sn'].values[0],
- # 'imei': df_t['imei'].values[0],
- # 'model' :pack_code,
- # 'fault_level': df_t['fault_level'].values[0],
- # 'fault_code': df_t['fault_code'].values[0],
- # 'fault_info': df_t['fault_info'].values[0],
- # 'fault_reason': df_t['fault_reason'].values[0],
- # 'fault_advice': df_t['fault_advice'].values[0],
- # 'fault_location': df_t['fault_location'].values[0],
- # 'device_status': df_t['device_status'].values[0],
- # 'odo': df_t['odo'].values[0],
- # 'create_time': datetime.now(),
- # 'create_by': 'algo',
- # 'update_time': datetime.now(),
- # 'update_by': None,
- # 'is_delete': 0,
- # 'comment': None}
- # session.execute(sql, params=params)
- # session.commit()
- # logger_main.info(f'process-{process_num}结束故障入库{pack_code}完成')
- # # if not df_res_update.empty:
- # # df_res_update=df_res_update.where(pd.notnull(df_res_update),None)
- # # df_res_update=df_res_update.fillna(0)
- # # for index in df_res_update.index:
- # # df_t = df_res_update.loc[index:index]
- # # try:
- # # # 更新数据
- # # with mysql_algo_Session() as session:
- # # session.execute(update(AlgoAllFaultInfoIng).where(
- # # and_((AlgoAllFaultInfoIng.start_time == df_t['start_time'].values[0]),
- # # (AlgoAllFaultInfoIng.fault_code == df_t['fault_code'].values[0]),
- # # (AlgoAllFaultInfoIng.sn == df_t['sn'].values[0]))).
- # # values(fault_level=df_t['fault_level'].values[0],
- # # comment=df_t['comment'].values[0]))
- # # session.commit()
- # # except Exception as e:
- # # logger_main.error(f"process-{process_num}:{pack_code}结果入库出错")
- # # logger_main.error(f"process-{process_num}:{e}")
- # # logger_main.error(f"process-{process_num}:{traceback.format_exc()}")
- # # finally:
- # # session.close()
- # # logger_main.info(f"process-{process_num}: 更新入库完成")
- # # else:
- # # logger_main.info(f"process-{process_num}: 无更新故障")
-
- # logger_main.info(f"process-{process_num}: 结果入库耗时:{time.time()-time_st}")
- # except Exception as e:
- # logger_main.error(f"process-{process_num}:{sn}结果入库出错")
- # logger_main.error(f"process-{process_num}:{e}")
- # logger_main.error(f"process-{process_num}:{traceback.format_exc()}")
- finally:
- pass
- if __name__ == '__main__':
- if (True):
- try:
- # 配置量
-
- cur_env = 'dev' # 设置运行环境
- app_path = "/home/chenenze/zlwl-algos/" # 设置app绝对路径
- log_base_path = f"{os.path.dirname(os.path.abspath(__file__))}/log" # 设置日志路径
- app_name = "task_day_1_test_offline_test" # 应用名
-
- sysUtils = SysUtils(cur_env, app_path)
- logger_main = sysUtils.get_logger(app_name, log_base_path)
- logger_main.info(f"本次主进程号: {os.getpid()}")
- # 读取配置文件 (该部分请不要修改)
- processes = int(sysUtils.env_params.get("PROCESS_NUM_PER_NODE", '1')) # 默认为1个进程
- pool = Pool(processes = int(processes))
- logger_main.info("开始分配子进程")
- for i in range(int(processes)):
- pool.apply_async(main, (i, ))
- pool.close()
- logger_main.info("进程分配结束,堵塞主进程")
- pool.join()
- except Exception as e:
- print(str(e))
- print(traceback.format_exc())
- logger_main.error(str(e))
- logger_main.error(traceback.format_exc())
- finally:
- handlers = logger_main.handlers.copy()
- for h in handlers:
- logger_main.removeHandler(h)
- pool.terminate()
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