def main():
name_gen = NameGenerator()
device_map = {}
tree = device_parser.parse_data('../xmls/data_grouped.xml')
devices_data = device_parser.parse_groupings(
tree) # could become a bottleneck if xmls get large enough
aps = None
while True:
inp = input_str(MENU_STR, valid={'a', 'p', 'r', 'q', 'd'})
print()
if inp == 'a':
dev_key = input_device_model(devices_data, '')
key, value = device_parser.search_data(tree, dev_key)
device_map[name_gen.generate_name(key)] = value
if inp == 'd':
valid = set(device_map.keys())
if len(valid) > 0:
to_delete = input_str(
'Which device do you want to delete? {}: '.format(valid),
valid)
del device_map[to_delete]
else:
print('There are no devices to delete\n')
if inp == 'p':
print(set(device_map.keys()))
if inp == 'c':
pass
if inp == 'r':
input_generators = create_ig_map(make_input_generators(device_map))
aps = AdvancedPowerStripT2(
'LG LED HiDef TV',
['Microsoft Xbox One', 'Dolby Surround Sound'],
60,
move_time=75,
is_on=False)
integration_period = input_int('Enter integration period: ')
run_sim(integration_period, input_generators, aps)
device_map['aps'] = {'on': 1.5, 'off': 0.0}
#write_to_ifile('csvs/test_APS.csv', integration_period, list(input_generators.values()))
#analyze_data('csvs/test_APS.csv', integration_period, device_map)
write_to_ifile('../csvs/test_APS.csv', integration_period,
list(input_generators.values()))
analyze_data('../csvs/test_APS.csv', integration_period,
device_map)
print()
if inp == 'q':
return
def main():
name_gen = NameGenerator()
device_map = {}
tree = device_parser.parse_data('../xmls/data_grouped.xml')
devices_data = device_parser.parse_groupings(tree)
while True:
inp = input_str(MENU_STR, valid={'a', 'p', 'r', 'q', 'd'})
print()
if inp == 'a':
dev_key = input_device_model(devices_data, '')
key, value = device_parser.search_data(tree, dev_key)
device_map[name_gen.generate_name(key)] = value
if inp == 'd':
valid = set(device_map.keys())
if len(valid) > 0:
to_delete = input_str(
'Which device do you want to delete? {}: '.format(valid),
valid)
del device_map[to_delete]
else:
print('There are no devices to delete\n')
if inp == 'p':
print(set(device_map.keys()))
if inp == 'r':
input_generators = make_input_generators(device_map)
integration_period = input_int('Enter integration period: ')
# save = input_str('Enter Save Name: ')
run_sim(integration_period, input_generators)
write_to_ifile('../csvs/test_group.csv', integration_period,
input_generators)
analyze_data('../csvs/test_group.csv', integration_period,
device_map)
#
# write_to_ifile('../csvs/{}.csv'.format(save), integration_period, input_generators)
# analyze_data('../csvs/test_group.csv'.format(save), integration_period, device_map)
if inp == 'q':
return
print()
def test_largescale():
s = Stopwatch()
integration_factor = 5
device_map = device_parser.build_device_map(
device_parser.parse_data('../xmls/test.xml'))
test_size = 10000
histogram = OrderedDict()
for i in range(5):
time = 0.0
for j in range(5):
s.start()
generate_test_input(device_map,
test_size,
file_name='test_input1.csv')
s.stop()
print('Generating test input of size {}: '.format(test_size),
s.read())
s.reset()
s.start()
analyze_data_nograph('../csvs/test_input1.csv', integration_factor,
device_map)
s.stop()
print('Processing input of size {}: '.format(test_size),
s.read())
time += s.read()
s.reset()
print('Average time for input of size {}: '.format(test_size),
time / 5)
histogram[test_size] = time / 5
test_size *= 2
print(histogram)
for i, j in histogram.items():
print(' size | time ')
print('{0:5d}|{1:5f}'.format(i, j))