def _create_local_copy(old_act, region):
"""
Create a local copy of an activity.
Update also the production exchange.
"""
act = copy.deepcopy(old_act)
act.update({"location": region, "code": str(uuid.uuid4().hex)})
# update production exchange
prods = list(ws.production(act, ws.equals("name", act["name"])))
if len(prods) == 1:
prods[0]["location"] = region
else:
raise ValueError(
"Multiple or no Production Exchanges found for {}.".format(
old_act["name"]))
return act
def get_shares_from_production_volume(ds):
"""
Return shares of supply based on production volumes
:param ds: list of datasets
:return: dictionary with (dataset name, dataset location) as keys, shares as values. Shares total 1.
:rtype: dict
"""
dict_act = {}
total_production_volume = 0
for act in ds:
for exc in ws.production(act):
dict_act[(act["name"], act["location"], act["reference product"], act["unit"])] = float(
exc["production volume"]
)
total_production_volume += float(exc["production volume"])
for d in dict_act:
dict_act[d] /= total_production_volume
return dict_act
def fetch_proxies(self, name, ref_prod):
"""
Fetch dataset proxies, given a dataset `name` and `reference product`.
Store a copy for each REMIND region.
If a REMIND region does not find a fitting ecoinvent location,
fetch a dataset with a "RoW" location.
Delete original datasets from the database.
:return:
"""
d_map = {
self.geo.ecoinvent_to_remind_location(d['location']): d['location']
for d in ws.get_many(
self.db,
ws.equals("name", name),
ws.equals("reference product", ref_prod)
)
}
list_remind_regions = [
c[1] for c in self.geo.geo.keys()
if type(c) == tuple and c[0] == "REMIND"
]
d_remind_to_eco = {r: d_map.get(r, "RoW") for r in list_remind_regions}
d_act = {}
for d in d_remind_to_eco:
try:
ds = ws.get_one(
self.db,
ws.equals("name", name),
ws.equals("reference product", ref_prod),
ws.equals("location", d_remind_to_eco[d]),
)
d_act[d] = copy.deepcopy(ds)
d_act[d]["location"] = d
d_act[d]["code"] = str(uuid.uuid4().hex)
except ws.NoResults:
print('No dataset {} found for the REMIND region {}'.format(name, d))
continue
for prod in ws.production(d_act[d]):
prod['location'] = d
deleted_markets = [
(act['name'], act['reference product'], act['location']) for act in self.db
if (act["name"], act['reference product']) == (name, ref_prod)
]
with open(DATA_DIR / "logs/log deleted cement datasets.csv", "a") as csv_file:
writer = csv.writer(csv_file,
delimiter=';',
lineterminator='\n')
for line in deleted_markets:
writer.writerow(line)
# Remove old datasets
self.db = [act for act in self.db
if (act["name"], act['reference product']) != (name, ref_prod)]
return d_act