CF_categories[impact_method+"-dammages"] = []
CF_units[impact_method+"-dammages"] = []
endpoint_category = line[1]
endpoint_unit=line[2]
CF_categories[impact_method+"-dammages"].append(endpoint_category)
CF_units[impact_method+"-dammages"].append(endpoint_unit)
dammage_factors[endpoint_category] = {}
while 1:
line = next(reader)
if len(line) == 0:
break
else:
midpoint_category = line[0]
factor = line[1]
dammage_factors[endpoint_category][midpoint_category] = float(factor.replace(',','.'))
return version, CF_categories,CF_units, dammage_factors, H, EF_list_for_CF_global, EF_list_for_CF_per_category
if __name__=="__main__":
from read_unit_conversion_info import read_unit_conversion_info
import csv
system_filename = "ecoinvent_v22.CSV"
CF_categories={}
CF_units={}
unit_converter = read_unit_conversion_info(system_filename)
reader = csv.reader(open("IMPACT2002 update 2011.csv",'U'), delimiter=';')
read_CF_IMPACT2002(reader, unit_converter, CF_categories, CF_units)
def SimaPro_reader(system_filename, impact_method):
import csv
from capture_UP import capture_UP
from read_unit_conversion_info import read_unit_conversion_info
from read_system_meta_info import read_system_meta_info
from dispatch_meta_info import dispatch_meta_info
from dispatch_flows import dispatch_flows
from build_matrices import build_matrices
from read_CF_IMPACT2002 import read_CF_IMPACT2002
from build_CF_matrix_IMPACT2002 import build_CF_matrix_IMPACT2002
from read_CF_Recipe import read_CF_Recipe
from read_CF_Ecodex import read_CF_Ecodex
from build_CF_matrix import build_CF_matrix
from print_CFs import print_CFs
from read_CF_IMPACT_World import read_CF_IMPACT_World
from read_CF_IMPACT_World_endpoint import read_CF_IMPACT_World_endpoint
from read_CF_export import read_CF_export
from build_CF_matrix_IMPACT_World_endpoint import build_CF_matrix_IMPACT_World_endpoint
from read_CF_IMPACT_World_terrestrial_acidification import read_CF_IMPACT_World_terrestrial_acidification
from build_CF_matrix_World_terrestrial_acidification import build_CF_matrix_World_terrestrial_acidification
import os
infrastructure_rescale = 1e6
#Read information about unit conversion
unit_converter = read_unit_conversion_info(system_filename)
#reading the few useful meta_informations
reader = csv.reader(open(system_filename, 'U'), delimiter=';')
system_meta_info = read_system_meta_info(reader)
#Initializing a few variables
UP_list = []
EF_list = []
EF_unit = {}
all_flow = {}
A = {}
B = {}
uncertainty_info = {}
uncertainty_info['technology'] = {}
uncertainty_info['intervention'] = {}
UP_meta_info = {}
while 1:
#scaning the whole file, UP by UP.
#the loop stops if the function capture_UP captured something else than a UP
all_UP_info = capture_UP(reader)
if all_UP_info == 'STOP':
break
else:
#the information of each UP is then passed to dispatch_meta_info and
#dispatch_flows, to be added to the pre-existing variables
UP_meta_info, UP_name, all_UP_info = dispatch_meta_info(
all_UP_info, UP_meta_info, UP_list, unit_converter)
UP_list, EF_list, flow_list, A, B, uncertainty_info, EF_unit = dispatch_flows(
all_UP_info, UP_name, UP_list, EF_list, all_flow, A, B,
uncertainty_info, EF_unit, unit_converter,
infrastructure_rescale, UP_meta_info)
technology_matrix, intervention_matrix = build_matrices(
A, UP_list, B, EF_list)
CF_matrices = {}
CF_categories = {}
CF_units = {}
if impact_method == 'IMPACT World endpoint':
filename = 'IW+_EndPt_aggreges_v0.01_no water quality.csv'
reader = csv.reader(open(
os.path.join("..", "databases", "impactMethods", impact_method),
'U'),
delimiter=';')
(CF_categories, CF_units, dammage_factors, H, EF_list_for_CF_global,
EF_list_for_CF_per_category) = read_CF_IMPACT_World_endpoint(
reader, unit_converter, CF_categories, CF_units)
CF_matrices = build_CF_matrix_IMPACT_World_endpoint(
CF_categories, dammage_factors, H, EF_list_for_CF_global, EF_list,
CF_matrices, EF_list_for_CF_per_category)
elif impact_method == 'IMPACT World midpoint':
filename = 'IW+_MidPt_aggreges_v0.01_no water quality.csv'
reader = csv.reader(open(
os.path.join("..", "databases", "impactMethods", impact_method),
'U'),
delimiter=';')
(CF_categories, CF_units, dammage_factors, H, EF_list_for_CF_global,
EF_list_for_CF_per_category) = read_CF_IMPACT_World(
reader, unit_converter, CF_categories, CF_units)
CF_matrices = build_CF_matrix(CF_categories, dammage_factors, H,
EF_list_for_CF_global, EF_list,
CF_matrices, EF_list_for_CF_per_category,
impact_method)
elif impact_method == 'IMPACT2002+ midpoint' or impact_method == 'IMPACT2002+ endpoint':
filename = os.path.join("..", "databases", "impactMethods",
"impact2002+.csv")
reader = csv.reader(open(filename, 'U'), delimiter=';')
(CF_categories, CF_units, dammage_factors, H, EF_list_for_CF_global,
EF_list_for_CF_per_category) = read_CF_IMPACT2002(
reader, unit_converter, CF_categories, CF_units)
CF_matrices = build_CF_matrix_IMPACT2002(CF_categories,
dammage_factors, H,
EF_list_for_CF_global,
EF_list, CF_matrices,
EF_list_for_CF_per_category)
else:
reader = csv.reader(open(
os.path.join("..", "databases", "impactMethods", impact_method),
'U'),
delimiter=';')
(version, CF_categories, CF_units, dammage_factors, H,
EF_list_for_CF_global,
EF_list_for_CF_per_category) = read_CF_export(reader, unit_converter,
CF_categories, CF_units,
impact_method)
CF_matrices = build_CF_matrix(CF_categories, dammage_factors, H,
EF_list_for_CF_global, EF_list,
CF_matrices, EF_list_for_CF_per_category,
impact_method)
if 0:
print_EF_list(EF_list)
print_CFs(CF_matrices, EF_list, CF_categories)
print_UP_list(UP_list, UP_meta_info, 0)
#adjusting the unit for infrastructures (they have been rescaled by 1e6)
for UP_name in UP_meta_info:
if UP_meta_info[UP_name]['Infrastructure'] == 'Yes':
UP_meta_info[UP_name][
'unit'] = 'micro_' + UP_meta_info[UP_name]['unit']
return system_meta_info, UP_meta_info, UP_list, EF_list, all_flow, technology_matrix, intervention_matrix, CF_matrices, CF_categories, CF_units, EF_unit, unit_converter, infrastructure_rescale, uncertainty_info
CF_categories[impact_method +
"-dammages"].append(endpoint_category)
CF_units[impact_method +
"-dammages"].append(endpoint_unit)
dammage_factors[endpoint_category] = {}
while 1:
line = next(reader)
if len(line) == 0:
break
else:
midpoint_category = line[0]
factor = line[1]
dammage_factors[endpoint_category][
midpoint_category] = float(
factor.replace(',', '.'))
return version, CF_categories, CF_units, dammage_factors, H, EF_list_for_CF_global, EF_list_for_CF_per_category
if __name__ == "__main__":
from read_unit_conversion_info import read_unit_conversion_info
import csv
system_filename = "ecoinvent_v22.CSV"
CF_categories = {}
CF_units = {}
unit_converter = read_unit_conversion_info(system_filename)
reader = csv.reader(open("IMPACT2002 update 2011.csv", 'U'), delimiter=';')
read_CF_IMPACT2002(reader, unit_converter, CF_categories, CF_units)
def SimaPro_reader(system_filename, impact_method):
import csv
from capture_UP import capture_UP
from read_unit_conversion_info import read_unit_conversion_info
from read_system_meta_info import read_system_meta_info
from dispatch_meta_info import dispatch_meta_info
from dispatch_flows import dispatch_flows
from build_matrices import build_matrices
from read_CF_IMPACT2002 import read_CF_IMPACT2002
from build_CF_matrix_IMPACT2002 import build_CF_matrix_IMPACT2002
from read_CF_Recipe import read_CF_Recipe
from read_CF_Ecodex import read_CF_Ecodex
from build_CF_matrix import build_CF_matrix
from print_CFs import print_CFs
from read_CF_IMPACT_World import read_CF_IMPACT_World
from read_CF_IMPACT_World_endpoint import read_CF_IMPACT_World_endpoint
from read_CF_export import read_CF_export
from build_CF_matrix_IMPACT_World_endpoint import build_CF_matrix_IMPACT_World_endpoint
from read_CF_IMPACT_World_terrestrial_acidification import read_CF_IMPACT_World_terrestrial_acidification
from build_CF_matrix_World_terrestrial_acidification import build_CF_matrix_World_terrestrial_acidification
import os
infrastructure_rescale = 1e6
# Read information about unit conversion
unit_converter = read_unit_conversion_info(system_filename)
# reading the few useful meta_informations
reader = csv.reader(open(system_filename, "U"), delimiter=";")
system_meta_info = read_system_meta_info(reader)
# Initializing a few variables
UP_list = []
EF_list = []
EF_unit = {}
all_flow = {}
A = {}
B = {}
uncertainty_info = {}
uncertainty_info["technology"] = {}
uncertainty_info["intervention"] = {}
UP_meta_info = {}
while 1:
# scaning the whole file, UP by UP.
# the loop stops if the function capture_UP captured something else than a UP
all_UP_info = capture_UP(reader)
if all_UP_info == "STOP":
break
else:
# the information of each UP is then passed to dispatch_meta_info and
# dispatch_flows, to be added to the pre-existing variables
UP_meta_info, UP_name, all_UP_info = dispatch_meta_info(all_UP_info, UP_meta_info, UP_list, unit_converter)
UP_list, EF_list, flow_list, A, B, uncertainty_info, EF_unit = dispatch_flows(
all_UP_info,
UP_name,
UP_list,
EF_list,
all_flow,
A,
B,
uncertainty_info,
EF_unit,
unit_converter,
infrastructure_rescale,
UP_meta_info,
)
technology_matrix, intervention_matrix = build_matrices(A, UP_list, B, EF_list)
CF_matrices = {}
CF_categories = {}
CF_units = {}
if impact_method == "IMPACT World endpoint":
filename = "IW+_EndPt_aggreges_v0.01_no water quality.csv"
reader = csv.reader(open(os.path.join("..", "databases", "impactMethods", impact_method), "U"), delimiter=";")
(
CF_categories,
CF_units,
dammage_factors,
H,
EF_list_for_CF_global,
EF_list_for_CF_per_category,
) = read_CF_IMPACT_World_endpoint(reader, unit_converter, CF_categories, CF_units)
CF_matrices = build_CF_matrix_IMPACT_World_endpoint(
CF_categories, dammage_factors, H, EF_list_for_CF_global, EF_list, CF_matrices, EF_list_for_CF_per_category
)
elif impact_method == "IMPACT World midpoint":
filename = "IW+_MidPt_aggreges_v0.01_no water quality.csv"
reader = csv.reader(open(os.path.join("..", "databases", "impactMethods", impact_method), "U"), delimiter=";")
(
CF_categories,
CF_units,
dammage_factors,
H,
EF_list_for_CF_global,
EF_list_for_CF_per_category,
) = read_CF_IMPACT_World(reader, unit_converter, CF_categories, CF_units)
CF_matrices = build_CF_matrix(
CF_categories,
dammage_factors,
H,
EF_list_for_CF_global,
EF_list,
CF_matrices,
EF_list_for_CF_per_category,
impact_method,
)
elif impact_method == "IMPACT2002+ midpoint" or impact_method == "IMPACT2002+ endpoint":
filename = os.path.join("..", "databases", "impactMethods", "impact2002+.csv")
reader = csv.reader(open(filename, "U"), delimiter=";")
(
CF_categories,
CF_units,
dammage_factors,
H,
EF_list_for_CF_global,
EF_list_for_CF_per_category,
) = read_CF_IMPACT2002(reader, unit_converter, CF_categories, CF_units)
CF_matrices = build_CF_matrix_IMPACT2002(
CF_categories, dammage_factors, H, EF_list_for_CF_global, EF_list, CF_matrices, EF_list_for_CF_per_category
)
else:
reader = csv.reader(open(os.path.join("..", "databases", "impactMethods", impact_method), "U"), delimiter=";")
(
version,
CF_categories,
CF_units,
dammage_factors,
H,
EF_list_for_CF_global,
EF_list_for_CF_per_category,
) = read_CF_export(reader, unit_converter, CF_categories, CF_units, impact_method)
CF_matrices = build_CF_matrix(
CF_categories,
dammage_factors,
H,
EF_list_for_CF_global,
EF_list,
CF_matrices,
EF_list_for_CF_per_category,
impact_method,
)
if 0:
print_EF_list(EF_list)
print_CFs(CF_matrices, EF_list, CF_categories)
print_UP_list(UP_list, UP_meta_info, 0)
# adjusting the unit for infrastructures (they have been rescaled by 1e6)
for UP_name in UP_meta_info:
if UP_meta_info[UP_name]["Infrastructure"] == "Yes":
UP_meta_info[UP_name]["unit"] = "micro_" + UP_meta_info[UP_name]["unit"]
return (
system_meta_info,
UP_meta_info,
UP_list,
EF_list,
all_flow,
technology_matrix,
intervention_matrix,
CF_matrices,
CF_categories,
CF_units,
EF_unit,
unit_converter,
infrastructure_rescale,
uncertainty_info,
)
