def print_to_console(file_name, device_map, integral_array, integration_period,
device_cate_map):
# Each Device and state
print("\nDevice Info:")
with open(file_name, 'r') as i_file:
# ignore sample rate line
i_file.readline()
# parse device_name,state,sequence
for line in i_file:
info = line.rstrip().split(',')
device, state, i_string = info[0], info[1], info[2]
state_np = np.array(list(i_string), dtype=float)
# total entered period and the whole day
day_p = sum(state_np) / 86400 * 100
enter_p = sum(state_np) / len(state_np) * 100
energy = make_integral_array(
(state_np * device_map[device][state]['power']),
integration_period)[-1]
print(
f'Device Name: {device:<50s}\t\tState: {state:<20s} Taken Entered Period: {enter_p:>7.3f}%\tTaken Whole Day Period: {day_p:>7.3f}%\tDaily Usage: {energy:>8.2f} Wh'
)
# Total Usage
print('\nDaily Energy Usage:')
for device_name in device_cate_map:
power = make_integral_array(device_cate_map[device_name]['power'],
integration_period)
print(f"Device:\t\t{device_name:<50s} {power[-1]:>8.3f} Wh")
# Output total energy used per device
print(f'Total : {integral_array[-1]:>63.3f} Wh')
def analyze_data(file_name: str, integration_period: int, device_map: dict,
profile_id: str, batch_file_name: str):
OUTPUT_FOLDER = 'simulationfiles/calculationoutputs/' + batch_file_name.split(
'.')[0] + OUTPUT_TIME
#Error Handling: File Exist
file_location = file_name
exist_flag = Path(file_location)
if exist_flag.exists() == False:
print("Error: CSV File does not exist")
print("Program Quit")
sys.exit(1)
#Error Handling: File Parsing
try:
# {device_name:{cate:[np array of value]}}
device_cate_map = parse_inputfile(file_name, device_map)
except:
print("Error: Unable to parse CSV file")
print("Program Quit")
sys.exit(1)
# Total Power Array
total_power_array = None
for device in device_cate_map:
total_power_array = device_cate_map[device]['power'] \
if total_power_array is None\
else total_power_array+device_cate_map[device]['power']
# Integral Array, Energy Consumption Array
integral_array = make_integral_array(total_power_array, integration_period)
# Total Power and Total Energy
#make_power_graph(total_power_array, integration_period, 'Time (hr)', 'Power (W)', 'Total Power Consumed','power',1, sub=(1,2,1))
#make_power_graph(integral_array, integration_period, 'Time (hr)', 'Energy (WHr)', 'Total Energy Used','Energy',1, sub=(1,2,2))
# add up default power array
graph_row = f'{1+1+len(ENABLED_LIST)}'
graph_col = f'{len(device_cate_map)}'
counter = 0
for util in ['power'] + ['energy'] + ENABLED_LIST:
for device_name in device_cate_map:
counter += 1
# to make sure only bottom graph has x label
if counter <= int(graph_row) * int(graph_col) - len(
device_cate_map):
if util == 'power':
make_power_graph(device_cate_map[device_name][util], \
integration_period, \
'', \
util, \
f'{device_name}', \
'power',\
2, \
sub=(graph_row,graph_col,int(f'{counter}')))
elif util == 'energy':
make_power_graph(make_integral_array(device_cate_map[device_name]['power'], integration_period), \
integration_period, \
'', \
'Energy (WHr)', \
'', \
'Energy',\
2, \
sub=(graph_row,graph_col,int(f'{counter}')))
else:
make_graph(device_cate_map[device_name][util],\
integration_period,\
'',\
util,\
'',\
2,\
sub=(graph_row,graph_col,int(f'{counter}')))
else:
make_graph(device_cate_map[device_name][util], \
integration_period, \
'Time (hr)', \
util, \
'', \
2, \
sub=(graph_row,graph_col,int(f'{counter}')))
# write to csv
if not os.path.exists(OUTPUT_FOLDER):
os.mkdir(OUTPUT_FOLDER)
write_to_csv(OUTPUT_FOLDER + '/' + profile_id + OUTPUT_CSV,
integration_period, device_cate_map)
# print to console
print_to_console(file_name, device_map, integral_array, integration_period,
device_cate_map)
# show graphs
#show_graph()
save_graph(OUTPUT_FOLDER, profile_id, batch_file_name, True)
reset()