user_group_update.py 3.9 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102
  1. import datetime
  2. import multiprocessing
  3. import time
  4. import traceback
  5. import gevent
  6. from threading import Timer
  7. from utils import RedisHelper, data_check, get_feature_data, send_msg_to_feishu
  8. from config import set_config
  9. from log import Log
  10. config_, _ = set_config()
  11. log_ = Log()
  12. redis_helper = RedisHelper()
  13. features = [
  14. 'apptype',
  15. 'return1mids',
  16. 'return2_3mids',
  17. 'return4_8mids',
  18. 'return9_24mids',
  19. 'return25_nmids',
  20. 'return0share1mids',
  21. 'return0share2_nmids'
  22. ]
  23. def to_redis(group, mid_list):
  24. log_.info(f"group = {group} update redis start ...")
  25. start_time = time.time()
  26. log_.info(f"mid count = {len(mid_list)}")
  27. for i in range(len(mid_list) // 100 + 1):
  28. # log_.info(f"i = {i}")
  29. mid_temp_list = mid_list[i * 100:(i + 1) * 100]
  30. task_list = [
  31. gevent.spawn(redis_helper.set_data_to_redis,
  32. f"{config_.KEY_NAME_PREFIX_MID_GROUP}{mid}", group, 26 * 3600)
  33. for mid in mid_temp_list
  34. ]
  35. gevent.joinall(task_list)
  36. log_.info(f"group = {group}, mid count = {len(mid_list)}, update redis finished! "
  37. f"execute time = {(time.time() - start_time) / 60}min")
  38. def update_user_group_to_redis(project, table, dt, app_type_list):
  39. """更新mid对应分组到redis中"""
  40. # 获取用户分组数据
  41. feature_df = get_feature_data(project=project, table=table, features=features, dt=dt)
  42. feature_df['apptype'] = feature_df['apptype'].astype(int)
  43. # feature_df = feature_df[feature_df['apptype'] == app_type]
  44. feature_df = feature_df[feature_df['apptype'].isin(app_type_list)]
  45. print(len(feature_df))
  46. group_list = features[1:]
  47. pool = multiprocessing.Pool(processes=len(group_list))
  48. for group in group_list:
  49. mid_list = feature_df[group].tolist()
  50. mid_list = list(set(mid_list))
  51. mid_list = [mid for mid in mid_list if mid is not None]
  52. pool.apply_async(func=to_redis, args=(group, mid_list))
  53. pool.close()
  54. pool.join()
  55. def timer_check():
  56. try:
  57. app_type_list = config_.AD_APP_TYPE_LIST
  58. project = config_.ad_model_data['user_group'].get('project')
  59. table = config_.ad_model_data['user_group'].get('table')
  60. now_date = datetime.datetime.today()
  61. dt = datetime.datetime.strftime(now_date, '%Y%m%d')
  62. log_.info(f"now_date: {dt}")
  63. now_min = datetime.datetime.now().minute
  64. # 查看当前更新的数据是否已准备好
  65. data_count = data_check(project=project, table=table, dt=dt)
  66. if data_count > 0:
  67. log_.info(f"user group data count = {data_count}")
  68. # 数据准备好,进行更新
  69. update_user_group_to_redis(project=project, table=table, dt=dt, app_type_list=app_type_list)
  70. log_.info(f"user group data update end!")
  71. # elif now_min > 45:
  72. # log_.info('user group data is None!')
  73. # send_msg_to_feishu(
  74. # webhook=config_.FEISHU_ROBOT['server_robot'].get('webhook'),
  75. # key_word=config_.FEISHU_ROBOT['server_robot'].get('key_word'),
  76. # msg_text=f"rov-offline{config_.ENV_TEXT} - 用户分组数据未准备好!\n"
  77. # f"traceback: {traceback.format_exc()}"
  78. # )
  79. else:
  80. # 数据没准备好,1分钟后重新检查
  81. Timer(60, timer_check).start()
  82. except Exception as e:
  83. log_.error(f"用户分组数据更新失败, exception: {e}, traceback: {traceback.format_exc()}")
  84. send_msg_to_feishu(
  85. webhook=config_.FEISHU_ROBOT['server_robot'].get('webhook'),
  86. key_word=config_.FEISHU_ROBOT['server_robot'].get('key_word'),
  87. msg_text=f"rov-offline{config_.ENV_TEXT} - 用户分组数据更新失败\n"
  88. f"exception: {e}\n"
  89. f"traceback: {traceback.format_exc()}"
  90. )
  91. if __name__ == '__main__':
  92. timer_check()