import datetime import gc import re from multiprocessing import Pool import json import logging import logging.handlers import os import time import traceback import warnings 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 FaultWarning.V_1_0_0 import CBMSBatDiag from FaultWarning.V_1_0_0 import CBMSBatDiag_TempV3 def get_cell_info(db_engine,rc): #获取SOH数据 data = rc.get("algo_param_from_mysql:df_soh") if pd.isnull(data): df_soh = pd.read_sql("select * from `algo_soh`GROUP BY sn DESC", db_engine) else: df_soh = pd.DataFrame(json.loads(data)) if len(df_soh) > 0: df_soh['time_st'] = pd.to_datetime(df_soh['time_st'], unit='ms') df_soh['time_sp'] = pd.to_datetime(df_soh['time_sp'], unit='ms') #获取SOR数据 data = rc.get("algo_param_from_mysql:sor_result") if pd.isnull(data): df_sor = pd.read_sql("select * from `algo_mid_sorout`GROUP BY sn DESC", db_engine) else: df_sor = pd.DataFrame(json.loads(data)) if len(df_sor) > 0: df_sor['time'] = pd.to_datetime(df_sor['time'], unit='ms') #获取一致性数据 data = rc.get("Algo:FaultDiag:SafetyWarning:uniform_result:{}") if pd.isnull(data): df_uniform=pd.read_sql("select * from `algo_mid_uniform_result`GROUP BY sn DESC", db_engine) else: df_uniform = pd.read_json(data) if len(df_uniform) > 0: df_uniform['time'] = pd.to_datetime(df_uniform['time'],unit='ms') return df_sor,df_uniform #df_soh, def get_fault_info(db_engine): df_diag_ram = pd.read_sql("select * from algo_all_fault_info_ing", db_engine) df_diag_ram['end_flag'] = 0 return df_diag_ram def fault_warning(logger, mysql_algo_conn, mysql_algo_Session, start_time, df_data, df_table, cellvolt_name, celltemp_name,pack_code, cell_type, df_diag_ram, df_algo_adjustable_param, df_algo_pack_param, df_algo_list): #电芯电压温度故障诊断 time_start1 = time.time() FaultDiagVolt = CBMSBatDiag.BatDiagVolt(df_data, df_table, cellvolt_name, celltemp_name,cell_type) df_res_new_volt,df_res_update_volt, df_res_end_volt = FaultDiagVolt.diag(df_diag_ram, df_algo_adjustable_param, df_algo_pack_param, df_algo_list)#df_soh, logger.info(f"{datetime.datetime.now()},电压故障运行耗时{time.time()-time_start1} ") time_start1 = time.time() FaultDiagTemp = CBMSBatDiag_TempV3.BatDiag(df_data, df_table, celltemp_name, cellvolt_name) df_res_new_temp,df_res_update_temp, df_res_end_Temp = FaultDiagTemp.diag(df_diag_ram, df_algo_adjustable_param, df_algo_pack_param, df_algo_list) logger.info(f"{datetime.datetime.now()},温度故障运行耗时{time.time()-time_start1} ") df_res_new = pd.concat([df_res_new_volt, df_res_new_temp]) #, res1 df_res_update=pd.concat([df_res_update_volt, df_res_update_temp]) #, res1 df_res_end = pd.concat([df_res_end_volt, df_res_end_Temp]) #, 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) 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] try: # 删除数据 with mysql_algo_Session() as session: session.execute(delete(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])))) session.flush() # 插入数据 session.add(AlgoAllFaultInfoDone( date_info=datetime.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_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.datetime.now(), create_by='algo', update_time=datetime.datetime.now(), update_by=None, is_delete=0, comment=df_t['comment'].values[0]) session.flush() session.commit() except Exception as e: logger.error('{}运行出错'.format(pack_code)) logging.error(str(e)) logging.error(traceback.format_exc()) finally: session.close() logger.info('更新入库完成') else: logger.info('无结束故障') #新增故障入库 if not df_res_new.empty: df_res_new=df_res_new.where(pd.notnull(df_res_new),None) df_res_new=df_res_new.fillna(0) Scrap_Vin = pd.read_sql("select sn from t_scrap_device where create_time>='{}'".format(start_time), mysql_algo_conn) df_res_new=df_res_new[~df_res_new['sn'].isin(Scrap_Vin['sn'])] if not df_res_new.empty: # 如果该故障未结束且不存在于ing，则写入ing try: df_res_new['date_info'] = df_res_new['start_time'] df_res_new['create_time'] = datetime.datetime.now() df_res_new['create_by'] = 'algo' df_res_new['update_by'] = None df_res_new['is_delete'] = 0 #df_res_new['imei'] = imei df_res_new.to_sql("algo_all_fault_info_ing", con=mysql_algo_conn, if_exists="append", index=False) logger.info('新增故障{} 入库{}完成'.format(df_res_new, 'algo_all_fault_info_ing')) except Exception as e: logger.error('{}运行出错'.format(pack_code)) logger.error(str(e)) logger.error(traceback.format_exc()) else: logger.info('新增故障为报废电池') else: logger.info('无新增故障') #更新故障入库 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.error('{}运行出错'.format(pack_code)) logger.error(str(e)) logger.error(traceback.format_exc()) finally: session.close() logger.info('更新入库完成') else: logger.info('无更新故障') def main(process_num): # 程序不能停止 while(True): warnings.filterwarnings("ignore") try: # 调用算法前的准备工作 kafka_topic_key = 'topic_task_min_10' kafka_groupid_key = 'group_id_task_min_10' algo_list = ['FaultWarning', 'other'] # 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() # redis redis_params = sysUtils.get_cf_param('redis') redisUtils = RedisUtils() redis_conn = redisUtils.get_redis_conncect(redis_params) # hbase hbase_params = sysUtils.get_cf_param('hbase') iotp_service = IotpAlgoService(hbase_params=hbase_params) # 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) logger_main.info(f"process-{process_num}: 获取算法参数及电池参数") df_sor,df_uniform = get_cell_info(mysql_algo_conn, redis_conn) df_diag_ram = get_fault_info(mysql_algo_conn) except Exception as e: logger_main.error(str(e)) logger_main.error(traceback.format_exc()) # 开始准备调度 try: logger_main.info(f"process-{process_num}: 监听topic {kafka_params[kafka_topic_key]}等待kafka 调度") param_update_timer = time.time() for message in kafka_consumer: try: logger_main.info(f'收到调度 {message.value}') if mysql_algo_conn.close: mysql_algo_conn = mysql_algo_engine.connect() # 从连接池中获取一个myslq连接 if time.time()-param_update_timer > 1200: # 超过20分钟，更新参数 df_sor,df_uniform=get_cell_info(mysql_algo_conn, redis_conn)#df_soh, param_update_timer = time.time() schedule_params = json.loads(message.value) if (schedule_params is None) or (schedule_params ==''): logger_main.info('{} kafka数据异常，跳过本次运算'.format(str(message.value))) continue # kafka 调度参数解析 df_snlist = pd.DataFrame(schedule_params['snlist']) 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_pack_param = json.loads(schedule_params['pack_param'][0]['param']) df_algo_list = pd.DataFrame(schedule_params['algo_list']) start_time = schedule_params['start_time'] end_time = schedule_params['end_time'] pack_code = schedule_params['pack_code'] cell_type = schedule_params['cell_type'] sn_list=df_snlist['sn'].tolist() # 取数 logger_main.info(f"process-{process_num}: 开始取数") columns = [DataField.error_level, DataField.error_code, DataField.pack_crnt, DataField.pack_volt, DataField.bms_sta, DataField.cell_voltage_count, DataField.cell_temp_count, DataField.cell_voltage, DataField.cell_temp, DataField.pack_soc, DataField.other_temp_value, DataField.bal_cell, DataField.pack_soh, DataField.charge_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}: {str(sn_list)}获取到{str(len(df_data))}条数据") except Exception as e: logging.error('{}运行出错'.format(pack_code)) logging.error(str(e)) logging.error(traceback.format_exc()) try: # 数据清洗 if len(df_data) == 0: logger_main.info(f"process-{process_num}: 无数据跳过本次运算") continue df_data,df_table,cellvolt_name,celltemp_name=iotp_service.data_clean(df_data,df_algo_pack_param)#进行数据清洗 if len(df_data) == 0: logger_main.info(f"process-{process_num}: 数据清洗完成, 无有效数据，跳过本次运算") continue else: logger_main.info(f"process-{process_num}: {pack_code}, time_type:{df_data.loc[0, 'time']} ~ {df_data.iloc[-1]['time']}, 数据清洗完成") except Exception as e: logger_main.error(f"process-{process_num}:{pack_code}数据清洗出错") logger_main.error(f"process-{process_num}:{e}") logger_main.error(f"process-{process_num}:{traceback.format_exc()}") # 算法调用 try: fault_warning(loggers['FaultWarning'], mysql_algo_conn, mysql_algo_Session, start_time, df_data, df_table, cellvolt_name, celltemp_name,pack_code, cell_type, df_diag_ram, df_algo_adjustable_param, df_algo_pack_param, df_algo_list) except Exception as e: loggers['FaultWarning'].error('{}运行出错'.format(pack_code)) loggers['FaultWarning'].error(str(e)) loggers['FaultWarning'].error(traceback.format_exc()) # 第二个算法调用 try: pass except Exception as e: pass except Exception as e: logging.error('{}运行出错'.format(pack_code)) logging.error(str(e)) logging.error(traceback.format_exc()) finally: iotp_service.close() if __name__ == '__main__': while(True): try: # 配置量 cur_env = 'dev' # 设置运行环境 app_path = "." # 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_min_10" # 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", '2')) # 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: 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()