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- # -*- coding: utf-8 -*-
- import pandas as pd
- import scipy.io as sio
- from app.core.config import settings
- q_learning_models = {}
- ahu_supply_air_temp_set_dict = {}
- async def load_q_learning_model():
- base_path = settings.PROJECT_DIR
- summer_model_path = f'{base_path}/app/resources/ml_models/equipment/fcu/q_learning/net_1_summer.mat'
- winter_model_path = f'{base_path}/app/resources/ml_models/equipment/fcu/q_learning/net_1_winter.mat'
- q_learning_models.update({'summer': sio.loadmat(summer_model_path)['net'][0, 0][0]})
- q_learning_models.update({'winter': sio.loadmat(winter_model_path)['net'][0, 0][0]})
- async def load_ahu_supply_temperature_set_dict():
- base_path = settings.PROJECT_DIR
- data_path = f'{base_path}/app/resources/ml_models/equipment/ahu/supply_temp_set_dict.csv'
- ahu_supply_air_temp_set_dict.update({'dataframe': pd.read_csv(data_path)})
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