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- import time, datetime
- import json
- import traceback
- from apscheduler.schedulers.blocking import BlockingScheduler
- import pandas as pd
- from ZlwlAlgosCommon.utils.ProUtils import *
- from ZlwlAlgosCommon.service.iotp.IotpAlgoService import IotpAlgoService
- import time
- def main():
- global sn_list, start_time, end_time, mysql_iotp_engine, mysql_kw_conn, mysql_kw_engine, topic, max_count, logger_main
- try:
-
- logger_main.info(f"执行调度{sn_list}")
-
-
- df_devcode = pd.DataFrame({'sn':sn_list})
-
- # 根据sn 获取对应的参数
- sql = f"select sn, imei, pack_model, 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_copy"
- df_algo_adjustable_param = pd.read_sql(sql, mysql_kw_conn)
- sql = f"select pack_code, param from algo_pack_param"
- df_algo_pack_param = pd.read_sql(sql, mysql_kw_conn)
- sql = f"select algo_id, algo_name, is_activate, global_param, fault_level, fault_code from algo_list"
- df_algo_list= pd.read_sql(sql, mysql_kw_conn)
- algo_list = df_algo_list.to_dict("records")
- df_merge = pd.merge(df_devcode, df_t_device, on='sn', how='inner')
-
- if df_merge.empty:
- print(f"未查到{sn_list}对应的参数，无法调度")
- # 分组发送
- for (pack_code, cell_type), df in df_merge.groupby(["pack_model", "device_cell_type"]):
- 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")
-
-
- count = 0
- sn_list = []
- for d in df.index:
- sn = df.loc[d, 'sn']
- imei = df.loc[d, 'imei']
- sn_list.append({'sn':sn, 'imei':imei})
- count = count + 1
- if count >= max_count:
- send_data = {'snlist':sn_list, 'adjustable_param':adjustable_param, 'pack_param':pack_param, 'algo_list':algo_list, 'pack_code':pack_code, 'cell_type':cell_type,
- 'start_time':start_time, 'end_time':end_time}
- kafka_producer.send(topic, bytes(json.dumps(send_data),'utf-8'))
- print(f"{sn_list}调度成功")
- count = 0
- sn_list = []
- time.sleep(3)
- mysql_kw_conn.close()
- except Exception as e:
- logger_main.error(str(e))
- logger_main.error(traceback.format_exc())
- if __name__ == '__main__':
-
- cur_env = 'dev' # 设置运行环境
- app_path = "/home/zhuxi/project/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)
- redis_params = sysUtils.get_cf_param('redis')
- redisUtils = RedisUtils()
- rc = redisUtils.get_redis_conncect(redis_params)
- kafka_params = sysUtils.get_cf_param('kafka')
- kafkaUtils = KafkaUtils()
- kafka_producer = kafkaUtils.get_kafka_producer(kafka_params, client_id="test")
-
- logger_main = sysUtils.get_logger(app_name, log_base_path)
- max_count = 1 #批处理最大量
- topic = "topic_task_hour_6"
- #sn_list=os.listdir('/data/common/benchi/data')
- df_sn=pd.read_excel('/home/zhuxi/project/zlwl-algos/USER/zhuxi/FaultClass/V1_0_1/t_device.xlsx')
- sn_list=list(df_sn['sn'])
- #sn_list=['PJXCLL532S234M004']
- start_time = "2023-05-04 08:00:00"
- end_time = "2023-05-04 11:00:00"
- main()
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