ad_video_data_update.py 4.3 KB

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  1. import datetime
  2. import traceback
  3. from threading import Timer
  4. from utils import RedisHelper, data_check, get_feature_data, send_msg_to_feishu
  5. from config import set_config
  6. from log import Log
  7. config_, _ = set_config()
  8. log_ = Log()
  9. redis_helper = RedisHelper()
  10. features = [
  11. 'apptype',
  12. 'videoid',
  13. 'sharerate_all',
  14. 'sharerate_ad'
  15. ]
  16. def predict_video_share_rate(video_initial_df, dt, data_key, data_param):
  17. """预估视频有广告时分享率"""
  18. # 获取对应的视频特征
  19. video_df = video_initial_df.copy()
  20. video_df['apptype'] = video_df['apptype'].astype(int)
  21. video_df = video_df[video_df['apptype'] == int(data_param)]
  22. video_df['sharerate_all'].fillna(0, inplace=True)
  23. video_df['sharerate_ad'].fillna(0, inplace=True)
  24. video_df['sharerate_all'] = video_df['sharerate_all'].astype(float)
  25. video_df['sharerate_ad'] = video_df['sharerate_ad'].astype(float)
  26. # 获取有广告时所有视频近30天的分享率
  27. ad_all_videos_share_rate = video_df[video_df['videoid'] == 'allvideos']['sharerate_ad'].values[0]
  28. video_df = video_df[video_df['videoid'] != 'allvideos']
  29. # 计算视频有广告时分享率
  30. video_df['video_ad_share_rate'] = \
  31. video_df['sharerate_ad'] * float(ad_all_videos_share_rate) / video_df['sharerate_all']
  32. video_df['video_ad_share_rate'].fillna(0, inplace=True)
  33. video_df = video_df[video_df['video_ad_share_rate'] != 0]
  34. # 结果写入redis
  35. key_name = f"{config_.KEY_NAME_PREFIX_AD_VIDEO}{data_key}:{dt}"
  36. redis_data = {}
  37. for index, item in video_df.iterrows():
  38. redis_data[int(item['videoid'])] = item['video_ad_share_rate']
  39. group_ad_share_rate_mean = video_df['video_ad_share_rate'].mean()
  40. redis_data[-1] = group_ad_share_rate_mean
  41. if len(redis_data) > 0:
  42. redis_helper = RedisHelper()
  43. redis_helper.add_data_with_zset(key_name=key_name, data=redis_data, expire_time=2 * 24 * 3600)
  44. return video_df
  45. def update_videos_data(project, table, dt, update_params):
  46. """预估视频有广告时分享率"""
  47. # 获取视频特征
  48. video_initial_df = get_feature_data(project=project, table=table, features=features, dt=dt)
  49. for data_key, data_param in update_params.items():
  50. log_.info(f"data_key = {data_key} update start...")
  51. predict_video_share_rate(video_initial_df=video_initial_df, dt=dt, data_key=data_key, data_param=data_param)
  52. log_.info(f"data_key = {data_key} update end!")
  53. def timer_check():
  54. try:
  55. update_params = config_.AD_VIDEO_DATA_PARAMS
  56. project = config_.ad_model_data['videos_share_rate'].get('project')
  57. table = config_.ad_model_data['videos_share_rate'].get('table')
  58. now_date = datetime.datetime.today()
  59. dt = datetime.datetime.strftime(now_date, '%Y%m%d')
  60. log_.info(f"now_date: {dt}")
  61. now_min = datetime.datetime.now().minute
  62. # 查看当前更新的数据是否已准备好
  63. data_count = data_check(project=project, table=table, dt=dt)
  64. if data_count > 0:
  65. log_.info(f"ad video data count = {data_count}")
  66. # 数据准备好,进行更新
  67. update_videos_data(project=project, table=table, dt=dt, update_params=update_params)
  68. log_.info(f"ad video data update end!")
  69. elif now_min > 45:
  70. log_.info('ad video data is None!')
  71. send_msg_to_feishu(
  72. webhook=config_.FEISHU_ROBOT['server_robot'].get('webhook'),
  73. key_word=config_.FEISHU_ROBOT['server_robot'].get('key_word'),
  74. msg_text=f"rov-offline{config_.ENV_TEXT} - 视频分享率数据未准备好!\n"
  75. f"traceback: {traceback.format_exc()}"
  76. )
  77. else:
  78. # 数据没准备好,1分钟后重新检查
  79. Timer(60, timer_check).start()
  80. except Exception as e:
  81. log_.error(f"视频分享率预测数据更新失败, exception: {e}, traceback: {traceback.format_exc()}")
  82. send_msg_to_feishu(
  83. webhook=config_.FEISHU_ROBOT['server_robot'].get('webhook'),
  84. key_word=config_.FEISHU_ROBOT['server_robot'].get('key_word'),
  85. msg_text=f"rov-offline{config_.ENV_TEXT} - 视频分享率预测数据更新失败\n"
  86. f"exception: {e}\n"
  87. f"traceback: {traceback.format_exc()}"
  88. )
  89. if __name__ == '__main__':
  90. timer_check()