def import_secondary_context_membership():
"""Add docstring."""
log.info('Read in secondary context membership')
SecondaryContextMembership = pd.read_csv(inputpath +
'SecondaryContextMembership.csv')
return SecondaryContextMembership
SecondaryContextMembership = pd.read_csv(inputpath +
'SecondaryContextMembership.csv')
return SecondaryContextMembership
if __name__ == '__main__':
flowables = pd.DataFrame()
flowables_w_primary_contexts = pd.DataFrame()
primary_contexts = pd.DataFrame()
# Loop through flow class specific files based on those classes specified in flowlistspecs
for t in flow_list_specs["flow_classes"]:
# Handle flowables first
flowables_for_class = read_in_flowclass_file(t, 'Flowables')
log.info('Import ' + str(len(flowables_for_class)) +
' flowables for class ' + t)
# Drop duplicate flowables in list
flowables_for_class = flowables_for_class.drop_duplicates(
subset='Flowable')
# Add Flow Class to columns
flowables_for_class['Class'] = t
flowables = pd.concat([flowables, flowables_for_class],
ignore_index=True,
sort=False)
class_primary_contexts = read_in_flowclass_file(
t, 'FlowablePrimaryContexts')
flowables_for_class = flowables_for_class.drop_duplicates()
log.info('Import ' + str(len(class_primary_contexts)) +
' flowable primary contexts for class ' + t)
class_primary_contexts = class_primary_contexts.dropna(axis=0,
how='all')
# Pull in mapping file
mapping = fedelemflowlist.get_flowmapping(source)
conversions = fedelemflowlist.get_alt_conversion()
# merge in conversion factors where source unit = alternate unit
mapping_w_conversion = pd.merge(
mapping,
conversions,
how='left',
left_on=['TargetFlowName', 'SourceUnit', 'TargetUnit'],
right_on=['Flowable', 'AltUnit', 'Unit'])
# update conversion factor where current conversion is 1 and the updated conversion exists
converted1 = mapping_w_conversion['InverseConversionFactor'].notnull()
converted2 = mapping_w_conversion['ConversionFactor'] == 1
mapping_w_conversion['Convert'] = converted1 & converted2
mapping_w_conversion.loc[
(mapping_w_conversion['Convert'] == True),
'ConversionFactor'] = mapping_w_conversion['InverseConversionFactor']
converted = mapping_w_conversion['Convert'].sum()
log.info('added conversion factors for ' + str(converted) + ' flows')
mapping_w_conversion = mapping_w_conversion.drop(columns=[
'Flowable', 'Unit', 'AltUnit', 'AltUnitConversionFactor',
'InverseConversionFactor', 'Convert'
])
flowmapping_order = list(flowmapping_fields.keys())
mapping_w_conversion = mapping_w_conversion[flowmapping_order]
for s in pd.unique(mapping_w_conversion['SourceListName']):
mapping = mapping_w_conversion[mapping_w_conversion['SourceListName']
== s]
mapping.to_csv(flowmappingpath + s + '.csv', index=False)
mappings = pd.read_csv(inputpath + base_name + ftype + '.csv')
return mappings
flowable_mappings = get_manual_mappings(base_name, 'flowables')
context_mappings = get_manual_mappings(base_name, 'contexts')
# Load full flow list to get all the contexts
flowlist = fedelemflowlist.get_flows()
flowlist_short = flowlist[['Flowable', 'Context', 'Flow UUID']]
fl_mapping = pd.merge(flowable_mappings,
flowlist_short,
left_on=['TargetFlowName'],
right_on=['Flowable'])
len_flowable_matches = len(fl_mapping)
log.info("Matches of USLCI flowables to flowlist flows: " +
str(len_flowable_matches))
fl_mapping = pd.merge(context_mappings,
fl_mapping,
left_on=['TargetFlowContext'],
right_on=['Context'])
fl_mapping = fl_mapping.drop(columns=['Flowable', 'Context'])
len_matches = len(fl_mapping)
log.info("Matches of USLCI flowables and contexts to flowlist flows: " +
str(len_matches))
manual_overrides = get_manual_mappings(base_name, 'manual_overrides')
fl_corresponding = flowlist_short[(
flowlist_short['Context'].isin(manual_overrides['TargetFlowContext'])
& flowlist_short['Flowable'].isin(manual_overrides['Target Name']))]
log.info("Found " + str(len(fl_corresponding)) +
" flowlist flows in manual overrides.")
def import_secondary_context_membership():
log.info('Read in secondary context membership')
SecondaryContextMembership = pd.read_csv(inputpath + 'SecondaryContextMembership.csv')
return SecondaryContextMembership
if __name__ == '__main__':
flowables = pd.DataFrame()
flowables_w_primary_contexts = pd.DataFrame()
primary_contexts = pd.DataFrame()
# Loop through flow class specific files based on those classes specified in flowlistspecs
for t in flow_list_specs["flow_classes"]:
# Handle flowables first
flowables_for_class = read_in_flowclass_file(t, 'Flowables')
log.info('Import ' + str(len(flowables_for_class)) + ' flowables for class ' + t)
# Drop duplicate flowables in list
flowables_for_class = flowables_for_class.drop_duplicates(subset='Flowable')
# Add Flow Class to columns
flowables_for_class['Class'] = t
flowables = pd.concat([flowables, flowables_for_class], ignore_index=True, sort=False)
class_primary_contexts = read_in_flowclass_file(t, 'FlowablePrimaryContexts')
flowables_for_class = flowables_for_class.drop_duplicates()
log.info('Import ' + str(len(class_primary_contexts)) + ' flowable primary contexts for class ' + t)
class_primary_contexts = class_primary_contexts.dropna(axis=0, how='all')
# merge in flowables and flowable primary contexts
class_flowables_w_primary_contexts = pd.merge(flowables_for_class, class_primary_contexts)
# Add in Alt units
try:
altunits_for_class = read_in_flowclass_file(t, 'FlowableAltUnits')
