zlwl-algos-new/USER/shouxueqi/task_min_10/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,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"
        df_algo_pack_param = pd.read_sql(sql, mysql_kw_conn)
        sql = f"select id,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,organ_code), df in df_merge.groupby(["pack_model", "device_cell_type",'organ_code']):
            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,'organ_code':organ_code}
                    print(send_data)
                    kafka_producer.send(topic, bytes(json.dumps(send_data),'utf-8'))
                    time.sleep(1)
                    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/shouxueqi/projects/zlwl-algos/zlwl-algos/" # 设置相对路径/home/shouxueqi/projects/zlwl-algos/zlwl-algos/ALGOS/PERIODIC/task_min_5/group_1/main.py
    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
    start_time = "2023-07-19 00:00:00"
    end_time = "2023-07-20 00:00:00" 
    # sn_list_total = ['LY9139BB0MALBZ308','LY9139BB0MALBZ325','LY9139BB0MALBZ423','LY9139BB0MALBZ504','LY9139BB0MALBZ793','LY9139BB0MALBZ809','LY9139BB0MALBZ812','LY9139BB1MALBZ429','LY9139BB1MALBZ799','LY9139BB1MALBZ804',
    #         'LY9139BB2MALBZ424','LY9139BB2MALBZ505','LY9139BB2MALBZ794','LY9139BB3MALBZ318','LY9139BB3MALBZ805','LY9139BB4MALBZ795','LY9139BB4MALBZ800','LY9139BB5MALBZ319','LY9139BB5MALBZ806','LY9139BB6MALBZ426',
    #         'LY9139BB6MALBZ796','LY9139BB6MALBZ801','LY9139BB7MALBZ323','LY9139BB7MALBZ807','LY9139BB8MALBZ329','LY9139BB7MALBZ810','LY9139BB8MALBZ427','LY9139BB8MALBZ430','LY9139BB8MALBZ797','LY9139BB8MALBZ802',
    #         'LY9139BB9MALBZ338','LY9139BB9MALBZ808','LY9139BB9MALBZ811','LY9139BBXMALBZ428','LY9139BBXMALBZ431','LY9139BBXMALBZ798','LY9139BBXMALBZ803','LY9F49BC1MALBZ877','LY9F49BC3MALBZ878','LY9F49BC3MALBZ881',
    #         'LY9F49BC4MALBZ081','LY9F49BC4MALBZ470','LY9F49BC5MALBZ364','LY9F49BC5MALBZ879','LY9F49BC5MALBZ882','LY9F49BC7MALBZ480','LY9F49BC7MALBZ883','LY9F49BC8MALBZ083','LY9F49BCXMALBZ876','LY9139BB9MALBZ310']
    # sn_list_total  =['PJXCLL128N234P005', 'PJXCLL128N234P007', 'PJXCLL128N234P003', 'PJXCLL128N234P010', 'PJXCLL128N234P002', 'PJXCLL128N234P004', 'PJXCLL128N234P001', 'PJXCLL128N234P006', 'PJXCLL128N234P008']#['PK50001A100000411','PK50001A100000173'] #,
    # sn_list=sn_list_total


    # # 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()
    df_snpk_list = pd.read_sql("select sn, imei,pack_model,device_cell_type,scrap_status from t_device", mysql_algo_conn)
    df_snpk_list=df_snpk_list[df_snpk_list['scrap_status']<4]
    df_snpk_list=df_snpk_list.rename(columns={'pack_model':'pack_code'})
    df_snpk_list=df_snpk_list[df_snpk_list['sn'].str.contains('N234P')]
    df_sn_list=list(df_snpk_list['sn'])
    sn_list_total=df_sn_list
    sn_list_total=['662CC700041']
    
    #sn_list_total=['PJXCLL128N234P008']
    # while True:
    #     start_time = datetime.datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S") + datetime.timedelta(weeks=4)
    #     end_time = start_time + datetime.timedelta(weeks=4)
    #     start_time = start_time.strftime("%Y-%m-%d %H:%M:%S")
    #     end_time = end_time.strftime("%Y-%m-%d %H:%M:%S")
    #     print(start_time)
    #     if start_time > "2022-12-05 00:00:00":
    #         break
    topic = "topic_test_sxq"#topic_task_min_10
    # main()     
    for i in range(0,len(sn_list_total)):  #
        
        sn_list=[sn_list_total[i]]
        main()


    # main()
# task_day_1_sxq_test = task_day_1_1_sxq_test
# group_id_task_day_1_sxq_test = group_task_day_1_sxq_test