zlwl-algos-new/USER/shouxueqi/task_min_10/group_1/main_deploy.py

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()