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- 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
- import traceback
- import sta_stacs
- from ZlwlAlgosCommon.utils.ProUtils import *
- from ZlwlAlgosCommon.service.iotp.IotpAlgoService import IotpAlgoService
- from ZlwlAlgosCommon.service.iotp.Beans import DataField
- from ZlwlAlgosCommon.orm.models import *
-
- #...................................电池包电芯安全诊断函数......................................................................................................................
- def diag_cal(process_num, process):#
- # 环境变量配置(通过环境变量确定当前程序运行在开发、测试、生产环境)
- # 根据sn 获取对应的参数
- #Hbase
- algo_list = ['soc_chracter'] # 本调度所包含的算法名列表。
- process = 10
- 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")
- hbase_params = sysUtils.get_cf_param('hbase')
- iotp_service = IotpAlgoService(hbase_params=hbase_params)
-
- sql = f"select sn, imei, pack_model,organ_code, device_cell_type from t_device"
- mysql_kw_conn = mysql_kw_engine.connect()
- df_t_device = pd.read_sql(sql, mysql_kw_conn)
- sql = f"select algo_id, pack_code, param, param_ai from algo_adjustable_param"
- df_algo_adjustable_param = pd.read_sql(sql, mysql_kw_conn)
- sql = f"select pack_code, param from algo_pack_param"
- pack_code = 'CL3282A'
- df_algo_pack_param = pd.read_sql(sql, mysql_kw_conn)
- adjustable_param = df_algo_adjustable_param[df_algo_adjustable_param['pack_code']==pack_code].drop(['pack_code'], axis=1)
- adjustable_param = adjustable_param.to_dict("records")
- pack_param = df_algo_pack_param[df_algo_pack_param['pack_code']==pack_code].drop(['pack_code'], axis=1)
- pack_param = pack_param.to_dict("records")
- df_algo_pack_param = json.loads(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()}
- folder_path = r"/data/common/benz"
-
- # 使用os.walk()函数遍历文件夹A及其子文件夹
-
- try:
- for root, dirs, files in os.walk(folder_path):
- # 遍历每个子文件夹
- for dir_name in dirs[5*(process_num):5*(process_num+1)]:#读取各个sn
- # 获取子文件夹的完整路径
- dir_path = os.path.join(root, dir_name)
- # print(f'Reading files from folder: {dir_path}')
- itemsn = dir_path.split('/')[-1]
- # 遍历当前子文件夹中的所有文件
- df_chrg_chrac = pd.DataFrame()
- for file_name in os.listdir(dir_path):#读取各sn下不同时间的数据
- # if (itemsn == 'LY9F49BC5MALBZ879') and (file_name == '2022-10-15-00-00-00_2022-10-22-00-00-00.zippkl'):
- try:
- time_st = time.time()
- # 获取文件的完整路径
- file_path = os.path.join(dir_path, file_name)
- loggers['soc_chracter'].info(f'开始执行算法{file_path}')
- df_data = pd.read_pickle(file_path, compression='zip')
- if len(df_data) > 30:
- df_data['mileage'].replace(0, pd.np.nan, inplace = True)
- df_data['mileage'].fillna(method = 'bfill', inplace = True)
- df_data['mileage'].fillna(method = 'ffill', inplace = True)
- df_out, df_table, cellvolt_name, celltemp_name = iotp_service.datacleaning(df_algo_pack_param,df_data)#进行数据清洗
- if len(df_out) > 30:
- Diagsts_temp = sta_stacs.cell_statistic(df_algo_pack_param, df_out)#计算内阻
- df_chrgrt_add = Diagsts_temp.rest_sta()
- if not df_chrgrt_add.empty:
- df_chrg_chrac = df_chrg_chrac.append(df_chrgrt_add)
- df_chrg_chrac.drop_duplicates(subset = ['sn','time_st'], keep = 'first', inplace = True)
- df_chrg_chrac.to_csv('/home/liuzhongxiao/zlwl-algos/USER/liuzhongxiao/SOC_pre/chracter/' + itemsn + '充电表单.csv',index=False,encoding='GB18030')
- loggers['soc_chracter'].info(f'算法运行完成{pack_code},算法耗时{time.time()-time_st}')
- except Exception as e:
- loggers['soc_chracter'].error('算法运行出错')
- loggers['soc_chracter'].error(str(e))
- loggers['soc_chracter'].error(traceback.format_exc())
- except Exception as e:
- loggers['soc_chracter'].error('算法运行出错')
- loggers['soc_chracter'].error(str(e))
- loggers['soc_chracter'].error(traceback.format_exc())
- #...............................................主函数起定时作用.......................................................................................................................
- if __name__ == "__main__":
- cur_env = 'dev' # 设置运行环境
- app_path = "/home/liuzhongxiao/zlwl-algos/" # 设置相对路径
- log_base_path = f"{os.path.dirname(os.path.abspath(__file__))}/log" # 设置日志路径
- app_name = "schedule" # 应用名, 建议与topic的后缀相同
-
- sysUtils = SysUtils(cur_env, app_path)
-
- mysqlUtils = MysqlUtils()
- mysql_iotp_params = sysUtils.get_cf_param('mysql-iotp')
- mysql_iotp_engine, mysql_iotp_Session= mysqlUtils.get_mysql_engine(mysql_iotp_params)
-
-
- mysql_kw_params = sysUtils.get_cf_param('mysql-algo')
- mysql_kw_engine, mysql_kw_Session= mysqlUtils.get_mysql_engine(mysql_kw_params)
- 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", '10')) # 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(diag_cal, (i, 10,))#
- pool.close()
- logger_main.info("进程分配结束,堵塞主进程")
- pool.join()
- #log信息配置
- #读取fault_code=C599的当前故障
- # df_chrgrt = pd.read_csv(r'C:\Users\zldc\project\User\lzx\hz-application-algo\USER\lzx\状态统计\充电过程统计\充电表单-单车.csv' ,encoding='GB18030')
- # df_dschrg = pd.read_csv(r'C:\Users\zldc\project\User\lzx\hz-application-algo\USER\lzx\状态统计\充放电温度压差统计\放电表单\用车表单-单车.csv' ,encoding='GB18030')
- #定时任务.......................................................................................................................................................................
- # diag_cal()
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