def report_equivalents(emission, state_emission, Elements):
# Equivalencies and CO2 emission equivalents
per_house = Paragraph('<font face="times" size=12>% of CO<sub rise = -10 size = 8>2</sub> per US house/day:</font>'.format(emission), style = styles["Normal"])
emissions_data = [
['Miles driven:', "{:.2e} miles".format(convert.carbon_to_miles(emission))],
['Min. of 32-in. LCD TV:', "{:.2e} minutes".format(convert.carbon_to_tv(emission))],
[per_house, \
"{:.2e}%".format(convert.carbon_to_home(emission))]]
coal_para = Paragraph('<font face="times" size=12>996 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>', style = styles["Normal"])
oil_para = Paragraph('<font face="times" size=12>817 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>', style = styles["Normal"])
gas_para = Paragraph('<font face="times" size=12>744 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>', style = styles["Normal"])
low_para = Paragraph('<font face="times" size=12>0 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>', style = styles["Normal"])
if state_emission:
equivs_data = [['Coal:', coal_para],
['Oil:', oil_para],
['Natural gas:', gas_para],
['Low carbon:', low_para]]
else:
equivs_data = [['Coal:', coal_para],
['Petroleum:', oil_para],
['Natural gas:', gas_para],
['Low carbon:', low_para]]
equivs_and_emission_equivs(equivs_data, emissions_data, Elements)
def generate(location, watt_averages, breakdown, kwh_and_emissions, func_info, \
comparison_values, default_emissions, default_location):
# TODO: remove state_emission and just use location
""" Generates pdf report
Parameters:
location (str): user's location, locations=["Romania", "Brazil"]
watt_averages (list): list of baseline, total, process wattage, process duration
breakdown (list): [% coal, % oil/petroleum, % natural gas, % low carbon]
kwh_and_emissions (list): [kwh used, emission in kg CO2, state emission > 0 for US states]
func_info (list): [user func name, user func args (0 or more)]
"""
kwh, emission, state_emission = kwh_and_emissions
baseline_average, process_average, difference_average, process_duration = watt_averages
# Initializing document
doc = SimpleDocTemplate("energy-usage-report.pdf",
pagesize=landscape(letter),
topMargin=.3 * inch)
title("Energy Usage Report")
# Handling header with function name and arguments
func_name, *func_args = func_info
info_text = " for the function " + func_name
if len(func_args) > 0:
if len(func_args) == 1:
info_text += " with the input " + str(func_args[0]) + "."
else:
info_text += " with the inputs "
for arg in func_args:
info_text += arg + ","
info_text = info_text[len(info_text) - 1] + "."
else:
info_text += "."
subtitle("Energy usage and carbon emissions" + info_text, spaceBefore=True)
# Energy Usage Readings and Energy Mix Data
readings_data = [
['Energy Usage Readings', ''],
['Average baseline wattage:', "{:.2f} watts".format(baseline_average)],
['Average total wattage:', "{:.2f} watts".format(process_average)],
[
'Average process wattage:',
"{:.2f} watts".format(difference_average)
], ['Process duration:', process_duration], ['', '']
] #hack for the alignment
coal_para = Paragraph(
'<font face="times" size=12>996 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>',
style=styles["Normal"])
oil_para = Paragraph(
'<font face="times" size=12>817 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>',
style=styles["Normal"])
gas_para = Paragraph(
'<font face="times" size=12>744 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>',
style=styles["Normal"])
low_para = Paragraph(
'<font face="times" size=12>0 kg CO<sub rise = -10 size = 8>2 </sub>/MWh</font>',
style=styles["Normal"])
if state_emission:
coal, oil, natural_gas, low_carbon = breakdown
mix_data = [['Energy Mix Data', ''], ['Coal', "{:.2f}%".format(coal)],
['Oil', "{:.2f}%".format(oil)],
['Natural gas', "{:.2f}%".format(natural_gas)],
['Low carbon', "{:.2f}%".format(low_carbon)]]
equivs_data = [['Coal:', coal_para], ['Oil:', oil_para],
['Natural gas:', gas_para], ['Low carbon:', low_para]]
else:
coal, petroleum, natural_gas, low_carbon = breakdown
mix_data = [['Energy Mix Data', ''], ['Coal', "{:.2f}%".format(coal)],
['Petroleum', "{:.2f}%".format(petroleum)],
['Natural gas', "{:.2f}%".format(natural_gas)],
['Low carbon', "{:.2f}%".format(low_carbon)]]
equivs_data = [['Coal:', coal_para], ['Petroleum:', oil_para],
['Natural gas:', gas_para], ['Low carbon:', low_para]]
readings_and_mix_table(readings_data, mix_data, breakdown, state_emission,
location)
effective_emission = Paragraph(
'<font face="times" size=12>{:.2e} kg CO<sub rise = -10 size = 8>2 </sub></font>'
.format(emission),
style=styles["Normal"])
# Total kWhs used and effective emissions
kwh_and_emissions_data = [[
"Total kilowatt hours used:", "{:.2e} kWh".format(kwh)
], ["Effective emissions:", effective_emission]]
kwh_and_emissions_table(kwh_and_emissions_data)
# Equivalencies and CO2 emission equivalents
per_house = Paragraph(
'<font face="times" size=12>% of CO<sub rise = -10 size = 8>2</sub> per US house/day:</font>'
.format(emission),
style=styles["Normal"])
emissions_data = [
['Miles driven:', "{:.2e} miles".format(convert.carbon_to_miles(emission))],
['Min. of 32-in. LCD TV:', "{:.2e} minutes".format(convert.carbon_to_tv(emission))],
[per_house, \
"{:.2e}%".format(convert.carbon_to_home(emission))]]
equivs_and_emission_equivs(equivs_data, emissions_data)
comparison_graphs(comparison_values, location, emission, default_emissions,
default_location)
doc.build(Elements)
def log(*args):
if (re.search("Package|CPU.*|GPU|DRAM", args[0])):
measurement = args[1]
sys.stdout.write("\r{:<24} {:>49.2f} {:5<}".format(
args[0] + ":", measurement, "watts"))
if args[0] == "Baseline wattage":
measurement = args[1]
sys.stdout.write("\r{:<24} {:>49.2f} {:5<}".format(
args[0] + ":", measurement, "watts"))
elif args[0] == "Process wattage":
measurement = args[1]
sys.stdout.write("\r{:<17} {:>56.2f} {:5<}".format(
args[0] + ":", measurement, "watts"))
elif args[0] == "Final Readings":
newline()
baseline_average, process_average, difference_average, timedelta = args[
1], args[2], args[3], args[4]
delete_last_lines()
log_header(args[0])
sys.stdout.write("{:<25} {:>48.2f} {:5<}\n".format(
"Average baseline wattage:", baseline_average, "watts"))
sys.stdout.write("{:<25} {:>48.2f} {:5<}\n".format(
"Average total wattage:", process_average, "watts"))
sys.stdout.write("{:<25} {:>48.2f} {:5<}\n".format(
"Average process wattage:", difference_average, "watts"))
sys.stdout.write("{:<17} {:>62}\n".format("Process duration:",
timedelta))
elif args[0] == "Energy Data":
location = args[2]
log_header('Energy Data')
if location == "Unknown" or locate.in_US(location):
coal, oil, gas, low_carbon = args[1]
if location == "Unknown":
location = "United States"
sys.stdout.write(
"{:^80}\n{:<13}{:>66.2f}%\n{:<13}{:>66.2f}%\n{:<13}{:>66.2f}%\n"
"{:<13}{:>66.2f}%\n".format(
"Location unknown, default energy mix in " + location +
":", "Coal:", coal, "Oil:", oil, "Natural Gas:", gas,
"Low Carbon:", low_carbon))
elif locate.in_US(location):
sys.stdout.write(
"{:^80}\n{:<13}{:>66.2f}%\n{:<13}{:>66.2f}%\n{:<13}{:>66.2f}%\n"
"{:<13}{:>66.2f}%\n".format("Energy mix in " + location,
"Coal:", coal, "Oil:", oil,
"Natural Gas:", gas,
"Low Carbon:", low_carbon))
else:
coal, natural_gas, petroleum, low_carbon = args[1]
sys.stdout.write(
"{:^80}\n{:<13}{:>66.2f}%\n{:<13}{:>66.2f}%\n{:<13}{:>66.2f}%\n"
"{:<13}{:>66.2f}%\n".format("Energy mix in " + location,
"Coal:", coal, "Petroleum:",
petroleum, "Natural Gas:",
natural_gas, "Low Carbon:",
low_carbon))
elif args[0] == "Emissions":
emission = args[1]
log_header('Emissions')
sys.stdout.write("{:<19}{:>54.2e} kg CO2\n".format("Effective emission:", \
emission))
sys.stdout.write("{:<24}{:>50.2e} miles\n".format("Equivalent miles driven:", \
convert.carbon_to_miles(emission)))
sys.stdout.write("{:<45}{:>27.2e} minutes\n".format("Equivalent minutes of 32-inch LCD TV watched:", \
convert.carbon_to_tv(emission)))
sys.stdout.write("{:<45}{:>34.2e}%\n".format(
"Percentage of CO2 used in a US"
" household/day:", convert.carbon_to_home(emission)))
elif args[0] == "Assumed Carbon Equivalencies":
log_header('Assumed Carbon Equivalencies')
sys.stdout.write("{:<14} {:>65}\n".format("Coal:",
"995.725971 kg CO2/MWh"))
sys.stdout.write("{:<14} {:>65}\n".format("Petroleum:",
"816.6885263 kg CO2/MWh"))
sys.stdout.write("{:<14} {:>65}\n".format("Natural gas:",
"743.8415916 kg CO2/MWh"))
sys.stdout.write("{:<14} {:>65}\n".format("Low carbon:",
"0 kg CO2/MWh"))
elif args[0] == "Emissions Comparison":
log_header('Emissions Comparison')
emissions = args[1]
for location, emission in emissions:
sys.stdout.write("{:<19}{:>54.2e} kg CO2\n".format(
location + ":", emission))
#OLD VERSION: US, EU, Rest comparison
elif args[0] == "Emissions Comparison default":
log_header('Emissions Comparison')
(max_global, median_global, min_global, max_europe, median_europe,
min_europe, max_us, median_us, min_us) = args[1:]
sys.stdout.write(
"{:^80}\n".format("Quantities below expressed in kg CO2"))
sys.stdout.write("{:8}{:<23} {:<23} {:<22}\n".format("", "US", "Europe", \
"Global minus US/Europe"))
sys.stdout.write("{:<7} {:<13}{:>10.2e} {:<13}{:>10.2e} {:<14}{:>10.2e}\n".format("Max:", max_us[0], max_us[1], \
max_europe[0], max_europe[1], max_global[0], max_global[1]))
sys.stdout.write("{:<7} {:<13}{:>10.2e} {:<13}{:>10.2e} {:<14}{:>10.2e}\n".format("Median:", median_us[0], median_us[1], \
median_europe[0], median_europe[1], median_global[0], median_global[1]))
sys.stdout.write("{:<7} {:<13}{:>10.2e} {:<13}{:>10.2e} {:<14}{:>10.2e}\n".format("Min:", min_us[0], min_us[1], \
min_europe[0], min_europe[1], min_global[0], min_global[1]))
elif args[0] == "Process Energy":
energy = args[1]
sys.stdout.write("-" * 80 + "\n" + "-" * 80 + "\n")
sys.stdout.write("{:<13} {:51} {:>10.2e} {:>3}\n".format(
"Process used:", "", energy, "kWh"))
else:
sys.stdout.write(args[0])
def generate(location, watt_averages, breakdown, emission, state_emission):
""" Generates pdf report
Parameters:
location (str): user's location
watt_averages (list): list of baseline, total, process wattage averages
breakdown (list): [% coal, % oil/petroleum, % natural gas, % low carbon]
emission (float): kgs of CO2 emitted
"""
# Initializing document
doc = SimpleDocTemplate("energy-usage-report.pdf",
pagesize=letter,
rightMargin=1 * inch,
leftMargin=1 * inch,
topMargin=1 * inch,
bottomMargin=1 * inch)
title("Energy Usage Report")
header("Final Readings")
descriptor("Readings shown are averages of wattage over the time period",
spaceAfter=True)
baseline_average, process_average, difference_average = watt_averages
readings = [['Measurement', 'Wattage'],
['Baseline', "{:.2f} watts".format(baseline_average)],
['Total', "{:.2f} watts".format(process_average)],
['Process', "{:.2f} watts".format(difference_average)]]
'''
readings = [['Component', 'Baseline', 'Total', 'Process']]
for file in raplfiles:
line = ["{}".format(file.name), "{:.2f} watts".format(file.baseline_average),
"{:.2f} watts".format(file.process_average),
"{:.2f} watts".format(file.process_average-file.baseline_average)]
if "Package" in file.name:
readings.insert(1, line)
else:
readings.append(line)
'''
if state_emission:
coal, oil, natural_gas, low_carbon = breakdown
energy_mix = [['Energy Source', 'Percentage'],
['Coal', "{}%".format(coal)], ['Oil', "{}%".format(oil)],
['Natural gas', "{}%".format(natural_gas)],
['Low carbon', "{}%".format(low_carbon)]]
source = "eGRID"
equivs = [['Carbon Equivalency', str(state_emission) + ' lbs/MWh']]
else:
coal, petroleum, natural_gas, low_carbon = breakdown
energy_mix = [['Energy Source', 'Percentage'],
['Coal', "{:.2f}%".format(coal)],
['Petroleum', "{:.2f}%".format(petroleum)],
['Natural gas', "{:.2f}%".format(natural_gas)],
['Low carbon', "{:.2f}%".format(low_carbon)]]
source = "US EIA"
equivs = [['Coal', '995.725971 kg CO2/MWh'],
['Petroleum', '816.6885263 kg CO2/MWh'],
['Natural gas', '743.8415916 kg CO2/MWh']]
table(readings)
header("Energy Data")
descriptor("Energy mix in {} based on {} {} data".format(
location, year, source))
table(energy_mix)
emissions = [['Emission', 'Amount'],
['Effective emission', "{:.2e} kg CO2".format(emission)],
['Equivalent miles driven', "{:.2e} miles".format(convert.carbon_to_miles(emission))],
['Equivalent minutes of 32-inch LCD TV watched', "{:.2e} minutes".format(convert.carbon_to_tv(emission))],
['Percentage of CO2 used in a US household/day', \
"{:.2e}%".format(convert.carbon_to_home(emission))]]
header("Emissions", spaceAfter=True)
table(emissions)
header("Assumed Carbon Equivalencies", spaceAfter=True)
# descriptor("Formulas used for determining amount of carbon emissions")
table(equivs, header=False)
doc.build(Elements)