zlwl-algos-new/USER/shouxueqi/task_day_1/group_2/main.py

from datetime import datetime
from multiprocessing import Pool
import json
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 healthscore.V_1_0_0.BatHealthScore import HealthScore
# from sohdiag.V_1_0_0.SOHBatDiag import sohdiag
from OffLineAlarm.V1_0_0 import off_line_warning

def get_battery_info(mysql_iotp_conn):
    sql = "select * from ff_battery_status "
    t_battery = pd.read_sql(sql, mysql_iotp_conn)
    return t_battery
def get_bat_health_info(mysql_algo_conn,sn_list):
        if len(sn_list) == 1:
            sn_tuple = f"('{sn_list[0]}')"
        else:
            sn_tuple = tuple(sn_list)
        sql = "select *  from algo_all_fault_info_ing where sn in {}".format(sn_tuple)
        df_diag_ram = pd.read_sql(sql, mysql_algo_conn)

        sql = "SELECT * FROM algo_soh  where sn in {}".format(sn_tuple)
        df_soh = pd.read_sql(sql, mysql_algo_conn)
        
        sql = "SELECT * FROM algo_mid_uniform_result  where sn in {}".format(sn_tuple)
        df_uniform = pd.read_sql(sql, mysql_algo_conn)

        sql = "SELECT * FROM algo_mid_sorout where sn in {}".format(sn_tuple)
        df_sor = pd.read_sql(sql, mysql_algo_conn) 
        return  df_diag_ram,  df_soh, df_uniform, df_sor
def main(process_num): 
    # 程序不能停止
    while(True):
        try:
            warnings.filterwarnings("ignore")
            try:   
                # 调用算法前的准备工作
                kafka_topic_key = 'topic_task_day_1_1'
                kafka_groupid_key = 'group_id_task_day_1_1'
                algo_list = ['healthscore', 'sohdiag','offline_diag'] # 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')
                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")
            for message in kafka_consumer:
                try:
                    logger_main.info(f'收到调度')
                    if mysql_algo_conn.closed:
                        mysql_algo_conn = mysql_algo_engine.connect() # 从连接池中获取一个myslq连接
                        
                    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_pack_param = {k: eval(v) if isinstance(v, str) else v for k, v in df_algo_pack_param.items()}
                    df_algo_param = 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()
                    df_res_new=pd.DataFrame()
                    df_res_update=pd.DataFrame()
                    df_res_end=pd.DataFrame()
                    
                except Exception as e:
                    logger_main.error(f"process-{process_num}:获取mysql数据库数据出错")
                    logger_main.error(f"process-{process_num}:{e}")
                    logger_main.error(f"process-{process_num}:{traceback.format_exc()}")
                    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')
                    df_diag_ram,df_soh,df_uniform,df_sor=get_bat_health_info(mysql_algo_conn,sn_list)

                    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}: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    
                # 健康度评分算法调用   
                try:
                    time_st = time.time()
                    loggers['healthscore'].info('开始执行算法')
                    healthscole = HealthScore(df_soh, df_uniform, df_sor)
                    df_res_healthscore = df_snlist['sn'].apply(lambda x : healthscole.health_score(x))
                    df_res_healthscore = pd.concat(df_res_healthscore.tolist(), axis=0)
                    loggers['healthscore'].info(f'算法运行完成，算法耗时{time.time()-time_st}')
                except Exception as e:
                    loggers['healthscore'].error('算法运行出错')
                    loggers['healthscore'].error(str(e))
                    loggers['healthscore'].error(traceback.format_exc())
                    df_res_healthscore=pd.DataFrame()
                # SOH诊断算法调用   
                # try:
                #     time_st = time.time()
                #     loggers['sohdiag'].info('开始执行算法')
                #     df_res_new_soh, df_res_end_soh = sohdiag(df_soh, df_diag_ram, df_sn_process, df_adjustable_param)
                #     loggers['sohdiag'].info(f'算法运行完成，算法耗时{time.time()-time_st}')
                # except Exception as e:
                #     loggers['sohdiag'].error('算法运行出错')
                #     loggers['sohdiag'].error(str(e))
                #     loggers['sohdiag'].error(traceback.format_exc())
                # 离线诊断算法调用   
                try:
                    time_st = time.time()
                    loggers['offline_diag'].info('开始执行算法')
                    t_battery=get_battery_info(mysql_iotp_conn)
                    offline_diag=off_line_warning.Off_Line_Warning()
                    df_res_new_ofl,df_res_update_ofl,df_res_end_ofl=offline_diag.diag(t_battery,df_diag_ram,df_algo_adjustable_param,df_snlist,df_algo_param)
                    loggers['offline_diag'].info(f'算法运行完成，算法耗时{time.time()-time_st}')
                except Exception as e:
                    loggers['offline_diag'].error('算法运行出错')
                    loggers['offline_diag'].error(str(e))
                    loggers['offline_diag'].error(traceback.format_exc())
                    df_res_new_ofl=pd.DataFrame()
                    df_res_update_ofl=pd.DataFrame()
                    df_res_end_ofl=pd.DataFrame()

                #结果写入mysql
                try:
                    df_res_new =df_res_new_ofl #pd.concat([df_res_new_ofl,df_res_new_soh]) #, res1
                    df_res_update=df_res_update_ofl#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_ofl#pd.concat([df_res_end_ofl,df_res_end_soh]) #, 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)
                    time_st = time.time()
                    session = mysql_algo_Session()
                    if not df_res_healthscore.empty:
                        df_res_healthscore.to_sql("algo_health_score",con=mysql_algo_conn, if_exists="append",index=False)                

                    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}: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
        except Exception as e:
            logger_main.error(f'process-{process_num}: {e}')
            logger_main.error(f'process-{process_num}: {traceback.format_exc()}')

if __name__ == '__main__':
   while(True):
        try:
            # 配置量
            
            cur_env = 'dev' # 设置运行环境
            app_path = "/home/shouxueqi/projects/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_1" # 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()