12345678910111213141516171819202122232425262728293031323334353637383940414243444546 |
- import datetime
- import traceback
- from threading import Timer
- from utils import RedisHelper, data_check, get_feature_data, send_msg_to_feishu
- from config import set_config
- from log import Log
- config_, _ = set_config()
- log_ = Log()
- redis_helper = RedisHelper()
- if __name__ == '__main__':
- dt = '20231203'
- data_key = 'test_lr_v1'
- key_name = f"{config_.KEY_NAME_PREFIX_AD_GROUP}{data_key}:{dt}"
- redis_data = {
- 'yxh': 0.3,
- 'zb': 0.13213231231,
- }
- redis_data = {
- 'mz': 0.2,
- 'zb': 0.6666,
- }
- print(key_name)
- #redis_helper.add_data_with_zset(key_name=key_name, data=redis_data, expire_time=2 * 24 * 3600)
- print(redis_helper.get_score_with_value(key_name=key_name, value='zb'))
- print(redis_helper.get_score_with_value(key_name=key_name, value='mz'))
- print(redis_helper.get_score_with_value(key_name='ad:users:group:predict:share:rate:test_lr_v1:20231129', value='16537775'))
-
- model_key = 'ad_out_v1'
- KEY_NAME_PREFIX_AD_OUT_MODEL_CONFIG = 'ad:out:model:config:'
- abtest_id = '173'
- abtest_config_tag = 'u'
- config_key_prefix = f"{KEY_NAME_PREFIX_AD_OUT_MODEL_CONFIG}{model_key}:{abtest_id}:{abtest_config_tag}"
- threshold_key = f"{config_key_prefix}:threshold"
- use_mean_key = f"{config_key_prefix}:use_mean"
- threshold = redis_helper.get_data_from_redis(key_name=threshold_key)
- use_mean = redis_helper.get_data_from_redis(key_name=use_mean_key)
- print('threshold:', threshold, type(threshold))
- print('use_mean:', use_mean, type(use_mean))
- expire_time = 30 * 24 * 3600
- redis_helper.set_data_to_redis(threshold_key, 0.4, expire_time)
- redis_helper.set_data_to_redis(use_mean_key, 1, expire_time)
- print(threshold_key)
- print(use_mean_key)
|