def main():
log.debug('Subsets available: ' + ", ".join(map(str, fedefl.subset_list.get_subsets())))
subsets = None
inventory_methods = lciafmt.get_method(method_id='FEDEFL Inventory',subset=subsets)
store_method(inventory_methods, method)
save_json(method, inventory_methods)
def main():
data = lciafmt.get_method(method)
# map the flows to the Fed.LCA commons flows
# set preserve_unmapped=True if you want to keep unmapped
# flows in the resulting data frame
mapping = method.get_metadata()['mapping']
mapped_data = lciafmt.map_flows(data, system=mapping)
mapped_data = collapse_indicators(mapped_data)
# write the result to parquet and JSON-LD
store_method(mapped_data, method)
for m in mapped_data['Method'].unique():
save_json(method, mapped_data, m)
def main():
data = lciafmt.get_method(method)
if mod is not None:
log.info("getting modified CFs")
modified_cfs=get_modification(mod,"TRACI2.1")
data = data.merge(modified_cfs,how='left',on=['Flowable','Context','Indicator'])
data.loc[data['Updated CF'].notnull(),'Characterization Factor']=data['Updated CF']
data = data.drop(columns=['Updated CF','Note'])
data['Method']="TRACI 2.1 ("+mod+" mod)"
# map the flows to the Fed.LCA commons flows
# set preserve_unmapped=True if you want to keep unmapped
# flows in the resulting data frame
mapping = method.get_metadata()['mapping']
mapped_data = lciafmt.map_flows(data, system=mapping)
# write the result to parquet and JSON-LD
store_method(mapped_data, method)
save_json(method, mapped_data)
def main():
data = lciafmt.get_method(method, endpoint=True, summary=apply_summary)
# make flowables case insensitive to handle lack of consistent structure in source file
data['Flowable'] = data['Flowable'].str.lower()
# map the flows to the Fed.LCA commons flows
# set preserve_unmapped=True if you want to keep unmapped
# flows in the resulting data frame
mapping = method.get_metadata()['mapping']
mapped_data = lciafmt.map_flows(data,
system=mapping,
case_insensitive=True)
mapped_data = collapse_indicators(mapped_data)
# write the result to parquet and JSON-LD
store_method(mapped_data, method)
for m in mapped_data['Method'].unique():
save_json(method, mapped_data, m)