def to_json(self) -> dict:
"""
Creates a dictionary for an olca json file
:return: dictionary
"""
flow_ref = olca.FlowRef()
flow_ref.name = self.name
if self.category is not None:
flow_ref.category_path = self.category.split('/')
# set the UUID or generate it from the attributes
if self.uid is None:
flow_ref.id = make_uuid("Flow",
self.category, self.name)
else:
flow_ref.id = self.uid
json = {
'flow': flow_ref.to_json()
}
if self.unit is not None:
unit_ref = units.unit_ref(self.unit)
if unit_ref is not None:
json['unit'] = unit_ref.to_json()
prop_ref = units.property_ref(self.unit)
if prop_ref is not None:
json['flowProperty'] = prop_ref.to_json()
return json
def _write_categories(self, pw: pack.Writer):
root = olca.Category()
root.id = "f318fa60-bae9-361f-ad5a-5066a0e2a9d1"
root.name = "Elementary flows"
root.model_type = olca.ModelType.FLOW
self._context_uids[root.name.lower()] = root.id
pw.write(root)
for _, row in self.flow_list.iterrows():
path = row['Context']
if not isinstance(path, str):
continue
path = path.strip()
if path == '' or path.lower() in self._context_uids:
continue
parts = path.split("/")
parent_id = root.id
for i in range(0, len(parts)):
lpath = "/".join(parts[0:i+1]).lower()
uid = self._context_uids.get(lpath)
if uid is not None:
parent_id = uid
continue
uid = make_uuid("Flow", lpath)
log.info("create category %s", lpath)
c = olca.Category()
c.id = uid
c.name = parts[i]
c.category = olca.ref(olca.Category, parent_id)
c.model_type = olca.ModelType.FLOW
pw.write(c)
self._context_uids[lpath] = uid
parent_id = uid
#Create combined context and drop individual context level columns
flows['Context'] = flows['PrimaryContext'] + "/" + flows[
'SecondaryContext'] + "/" + flows['ContextDetail']
flows = flows.drop(
columns=['PrimaryContext', 'SecondaryContext', 'ContextDetail'])
flows = flows.append(flowscategorycutoff, ignore_index=False)
flows = flows.drop_duplicates()
log.info('Total of ' + str(len(flows)) + ' flows with contexts created.')
# Loop through flows generating UUID for each
flowids = []
log.info('Generating unique UUIDs for each flow...')
for index, row in flows.iterrows():
flowid = make_uuid(row['Flowable'], row['Context'], row['Unit'])
flowids.append(flowid)
flows['Flow UUID'] = flowids
# Drop entries due to duplicate UUIDs
flows['Duplicates'] = flows.duplicated(subset=['Flow UUID'], keep='first')
if flows['Duplicates'].sum() > 0:
log.info(
str(flows['Duplicates'].sum()) +
" flows with same UUID; these duplicates have been removed.")
flows = flows.drop_duplicates(subset=['Flow UUID'], keep='first')
flows.drop(columns='Duplicates')
# Log unique entries
contexts_in_flows = pd.unique(flows['Context'])
log.info('Created ' + str(len(flows)) + ' flows with ' +