def fragment_lcia(self,
fragment,
quantity_ref,
scenario=None,
refresh=False,
**kwargs):
if scenario is None:
scenario = '1'
lcia_q = self.get_lcia_quantity(quantity_ref)
endpoint = 'scenarios/%s/%s/%s/lciaresults' % (scenario, fragment,
lcia_q.external_ref)
lcia_r = self._archive.get_endpoint(endpoint, cache=False)
if lcia_r is None or (isinstance(lcia_r, list)
and all(i is None for i in lcia_r)):
res = LciaResult(lcia_q, scenario=scenario)
return res
res = LciaResult(lcia_q, scenario=lcia_r.pop('scenarioID'))
total = lcia_r.pop('total')
for component in lcia_r['lciaScore']:
self.add_lcia_component(res, component)
self.check_total(res.total(), total)
return res
def test_catalog_ref(self):
"""
Create an LCIA result using a catalog ref as quantity
:return:
"""
qty = CatalogRef('fictitious.origin', 'dummy_ext_ref', entity_type='quantity', Name='Test Quantity')
res = LciaResult(qty)
self.assertEqual(res.total(), 0.0)
def lcia(self, process, ref_flow, quantity_ref, refresh=False, **kwargs):
"""
Antelope v1 doesn't support or even have any knowledge of process reference-flows. this is a somewhat
significant design flaw. well, no matter. each antelopev1 process must therefore represent an allocated single
operation process that has an unambiguous reference flow. This is a problem to solve on the server side;
for now we just ignore the ref_flow argument.
If the quantity ref is one of the ones natively known by the antelope server-- i.e. if it is a catalog ref whose
origin matches the origin of the current archive-- then it is trivially used. Otherwise, the lcia call reduces
to obtaining the inventory and computing LCIA locally.
:param process:
:param ref_flow:
:param quantity_ref:
:param refresh:
:param kwargs:
:return:
"""
lcia_q = self.get_lcia_quantity(quantity_ref)
endpoint = '%s/%s/lciaresults' % (process, lcia_q.external_ref)
lcia_r = self._archive.get_endpoint(endpoint, cache=False)
res = LciaResult(lcia_q, scenario=lcia_r.pop('scenarioID'))
total = lcia_r.pop('total')
if len(lcia_r['lciaScore']) > 1:
raise AntelopeV1Error(
'Process LCIA result contains too many components\n%s' %
process)
component = lcia_r['lciaScore'][0]
cum = component['cumulativeResult']
self.check_total(cum, total)
if 'processes/%s' % component['processID'] != process:
raise AntelopeV1Error('Reference mismatch: %s begat %s' %
(process, component['processID']))
self.add_lcia_component(res, component)
self.check_total(res.total(), total)
return res
