ad_video_data_update.py 4.5 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106
  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(dt, video_key, video_params):
  54. log_.info(f"video_key = {video_key}")
  55. project = config_.ad_model_data[video_key].get('project')
  56. table = config_.ad_model_data[video_key].get('table')
  57. # 查看当前更新的数据是否已准备好
  58. data_count = data_check(project=project, table=table, dt=dt)
  59. if data_count > 0:
  60. log_.info(f"ad video data count = {data_count}")
  61. # 数据准备好,进行更新
  62. update_videos_data(project=project, table=table, dt=dt, update_params=video_params)
  63. log_.info(f"ad video data update end!")
  64. send_msg_to_feishu(
  65. webhook=config_.FEISHU_ROBOT['server_robot'].get('webhook'),
  66. key_word=config_.FEISHU_ROBOT['server_robot'].get('key_word'),
  67. msg_text=f"rov-offline{config_.ENV_TEXT} - 视频数据更新完成\n"
  68. f"video_key: {video_key}\n"
  69. f"now_date: {dt}\n"
  70. f"finished time: {datetime.datetime.strftime(datetime.datetime.now(), '%Y%m%d %H:%M:%S')}"
  71. )
  72. else:
  73. # 数据没准备好,1分钟后重新检查
  74. Timer(60, timer_check, args=[dt, video_key, video_params]).start()
  75. def main():
  76. try:
  77. now_date = datetime.datetime.today()
  78. dt = datetime.datetime.strftime(now_date, '%Y%m%d')
  79. log_.info(f"now_date: {dt}")
  80. update_params = config_.AD_VIDEO_DATA_PARAMS
  81. for video_key, video_params in update_params.items():
  82. timer_check(dt, video_key, video_params)
  83. except Exception as e:
  84. log_.error(f"视频分享率预测数据更新失败, exception: {e}, traceback: {traceback.format_exc()}")
  85. send_msg_to_feishu(
  86. webhook=config_.FEISHU_ROBOT['server_robot'].get('webhook'),
  87. key_word=config_.FEISHU_ROBOT['server_robot'].get('key_word'),
  88. msg_text=f"rov-offline{config_.ENV_TEXT} - 视频分享率预测数据更新失败\n"
  89. f"exception: {e}\n"
  90. f"traceback: {traceback.format_exc()}"
  91. )
  92. if __name__ == '__main__':
  93. # timer_check()
  94. main()