zlwl-algos-new/USER/wangliming/algo/main_by_hand.py

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

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"
        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')
        
        print()
        # 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}
                    print(send_data)
                    kafka_producer.send(topic, bytes(json.dumps(send_data),'utf-8'))
                    count = 0
                    sn_list = []
        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/wangliming/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-kewei')
    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
    topic = "topic_task_second_10"
    sn_list = ['MGMLXN750N21AN014']
    start_time = "2023-03-11 00:00:00"
    end_time = "2023-03-12 00:00:00"
    main()