Coverage for examples/OneRoom_SimpleMPC/main_one_room_flex.py: 92%

1import logging 

2from agentlib_flexquant.generate_flex_agents import FlexAgentGenerator 

3from agentlib.utils.multi_agent_system import LocalMASAgency 

4from agentlib_flexquant.utils.interactive import Dashboard, CustomBound 

5from plot_results import plot_results 

6 

7# Set the log-level 

8logging.basicConfig(level=logging.WARN) 

9until = 21600 

10 

11ENV_CONFIG = {"rt": False, "factor": 0.01, "t_sample": 60} 

12 

13 

14def run_example(until=until, with_plots=False): 

15 results = [] 

16 mpc_config = "mpc_and_sim/simple_model.json" 

17 sim_config = "mpc_and_sim/simple_sim.json" 

18 predictor_config = "predictor/predictor_config.json" 

19 flex_config = "flex_configs/flexibility_agent_config.json" 

20 agent_configs = [sim_config, predictor_config] 

21 

22 config_list = FlexAgentGenerator( 

23 flex_config=flex_config, mpc_agent_config=mpc_config 

24 ).generate_flex_agents() 

25 agent_configs.extend(config_list) 

26 

27 mas = LocalMASAgency( 

28 agent_configs=agent_configs, env=ENV_CONFIG, variable_logging=False 

29 ) 

30 

31 mas.run(until=until) 

32 results = mas.get_results(cleanup=False) 

33 

34 if with_plots: 

35 Dashboard( 

36 flex_config="flex_configs/flexibility_agent_config.json", 

37 simulator_agent_config="mpc_and_sim/simple_sim.json", 

38 results=results 

39 ).show( 

40 custom_bounds=CustomBound( 

41 for_variable="T", 

42 lb_name="T_lower", 

43 ub_name="T_upper" 

44 ) 

45 ) 

46 # plot_results(results_data=results) # Alternative plotscript using matplotlib, 

47 return results 

48 

49 

50if __name__ == "__main__": 

51 run_example(until, with_plots=True)