# 调用钉钉机器人通知相关人员更新ES

import sys
import re
import os



abspath = os.path.abspath(__file__)
root_path = re.sub(r"tendata-warehouse.*", "tendata-warehouse", abspath)
sys.path.append(root_path)
from dw_base.utils.log_utils import pretty_print
from dw_base import *
import requests
import json
import time
from dw_base.scheduler.polling_scheduler import get_sink_count
from dw_base.utils.config_utils import parse_args
from dw_base.spark.spark_sql import SparkSQL
import random
def send_dingtalk_notification(msg):
    headers = {"Content-Type": "application/json"}
    data = {
        "msgtype": "text",
        "text": {"content": msg},
        "at": {"atMobiles": ["13924570409"]}
    }
    json_data = json.dumps(data)
    url = 'https://oapi.dingtalk.com/robot/send?access_token=bda512e1f980c8d126361afbae9d744e9885705ce6ed047395a1f6bc4114114d'
    response = requests.post(url=url, data=json_data, headers=headers)
    response.raise_for_status()



if __name__ == '__main__':
    CONFIG, _ = parse_args(sys.argv[1:])
    start_date = CONFIG.get('start-date')
    stop_date = CONFIG.get('stop-date')
    mgdb = CONFIG.get('mgdb')
    mgtbl = CONFIG.get('mgtbl')
    batch_id = CONFIG.get('batch_id')
    cdt =f"{time.strftime('%Y%m%d', time.localtime())}"
    count = get_sink_count(mgdb, mgtbl, start_date, stop_date)

    spark = SparkSQL()
    spark._final_spark_config = {'hive.exec.dynamic.partition': 'true',
                                 'hive.exec.dynamic.partition.mode': 'nonstrict',
                                 'spark.yarn.queue': 'cts',
                                 'spark.sql.crossJoin.enabled': 'true',
                                 'spark.executor.memory': '6g',
                                 'spark.executor.memoryOverhead': '2048',
                                 'spark.driver.memory': '4g',
                                 'spark.executor.instances': "15",
                                 'spark.executor.cores': '2'
                                 }
    if count > 0 :
        try:
            # 定义延时时间列表
            delay_times = [0,10,18,26,39,45,52,60,70,80,90,100]
            delay = random.choice(delay_times)
            print(f"随机延时时间为：{delay}秒")
            time.sleep(delay)

            sql = (f"select count(1) as cnt from task.cts_incr_updated_data_cnt  "
                   f"where  dt = '{cdt}'")
            res = spark.query(sql)[0].collect()
            order_id= int(res[0].cnt +1)

            sql_insert_cnt = f"""

            insert into table task.cts_incr_updated_data_cnt 
            select '{mgdb}','{mgtbl}',{count},'{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())}','{cdt}'

            """
            spark.query(sql_insert_cnt)[0].collect()
            msg = (f"数据上新提醒 @13924570409\n"
                   f"{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())}   ({order_id})\n"
                   f"{mgdb}.{mgtbl} 今日新增数据量: {count} 已入库完毕，\n调用接口成功，正在刷es索引！"
                   f"本批数据batch_id为: {batch_id} "
                   )
            pretty_print(f'{NORM_CYN}{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} ({order_id})'
                         f'{NORM_MGT}已发送通知： {NORM_GRN} {msg} ')
            send_dingtalk_notification(msg)

        except Exception as e:
            print(f"发生错误: {e}")


#
#
# CREATE TABLE task.`cts_incr_updated_data_cnt`
# (
#     `mgdb`         STRING COMMENT 'mgdb',
#     `mgtbl`        STRING COMMENT 'mgtbl',
#     `count`        int COMMENT '计数',
#     `created_time` STRING COMMENT '统计时间'
# )
#     COMMENT 'cts_incr_updated_data_cnt'
#     PARTITIONED BY (`dt` STRING)
#     STORED AS ORC
#     tblproperties ('orc.compress' = 'ZLIB')