def test_pid_controller(self, mock_input):
pid_controller = PIDController(P=0.001, I=0.00001, D=0.001)
# animation, parallel, save_path, sim_time, scenario, scenario random
# seed, start_time, patients, sensor, sensor seed, insulin pump,
# controller
mock_input.side_effect = ['y', 'n', output_folder, '24', '1', '2',
'6', '5', '1', 'd', '1', '1', '2', '1']
s = simulate(controller=pid_controller)
self.assertEqual(s, 0)
def test_ui(self, mock_input):
# animation, parallel, save_path, sim_time, scenario, scenario random
# seed, start_time, patients, sensor, sensor seed, insulin pump,
# controller
mock_input.side_effect = [
'n', 'y', output_folder, '24', '1', '2', '6', '1', '1', '1', '2',
'1'
]
s = simulate()
self.assertEqual(s, 0)
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
from simglucose.simulation.user_interface import simulate
simulate()
from simglucose.controller.pid_ctrller import PIDController from simglucose.simulation.user_interface import simulate pid_controller = PIDController(P=0.001, I=0.00001, D=0.001, target=140) s = simulate(controller=pid_controller)
'''
Every controller must have this implementation!
----
Inputs:
observation - a namedtuple defined in simglucose.simulation.env. For
now, it only has one entry: blood glucose level measured
by CGM sensor.
reward - current reward returned by environment
done - True, game over. False, game continues
info - additional information as key word arguments,
simglucose.simulation.env.T1DSimEnv returns patient_name
and sample_time
----
Output:
action - a namedtuple defined at the beginning of this file. The
controller action contains two entries: basal, bolus
'''
self.state = observation
action = Action(basal=0, bolus=0)
return action
def reset(self):
'''
Reset the controller state to inital state, must be implemented
'''
self.state = self.init_state
ctrller = MyController(0)
simulate(controller=ctrller)