def test_write_only_activity_parameters_no_activate_others(no_init):
Database("PCB").register()
obj = ExcelImporter()
obj.db_name = "PCB"
obj.data = deepcopy(DATA)
obj.write_database(activate_parameters=False)
NEW = [{
'code':
'45cb34db4147e510a2561cceec541f6b',
'database':
'PCB',
'exchanges': [],
'name':
'unmounted printed circuit board',
'type':
'process',
'unit':
'square meter',
'parameters': [{
'name': 'something_test',
'amount': 2,
'formula': '3 + 2'
}],
}]
obj = ExcelImporter()
obj.db_name = "PCB"
obj.write_activity_parameters(NEW)
assert ActivityParameter.select().count() == 1
assert ActivityParameter.get().formula == '3 + 2'
assert 'parameters' not in get_activity(
('PCB', '45cb34db4147e510a2561cceec541f6b'))
assert 'parameters' in get_activity(
('PCB', '32aa5ab78beda5b8c8efbc89587de7a5'))
def test_write_only_activity_parameters_no_activate_others(no_init):
Database("PCB").register()
obj = ExcelImporter()
obj.db_name = "PCB"
obj.data = deepcopy(DATA)
obj.write_database(activate_parameters=False)
NEW = [
{
"code": "45cb34db4147e510a2561cceec541f6b",
"database": "PCB",
"exchanges": [],
"name": "unmounted printed circuit board",
"type": "process",
"unit": "square meter",
"parameters": [{"name": "something_test", "amount": 2, "formula": "3 + 2"}],
}
]
obj = ExcelImporter()
obj.db_name = "PCB"
obj.write_activity_parameters(NEW)
assert ActivityParameter.select().count() == 1
assert ActivityParameter.get().formula == "3 + 2"
assert "parameters" not in get_activity(("PCB", "45cb34db4147e510a2561cceec541f6b"))
assert "parameters" in get_activity(("PCB", "32aa5ab78beda5b8c8efbc89587de7a5"))
def test_write_only_activity_parameters(no_init):
assert not ActivityParameter.select().count()
Database("PCB").register()
obj = ExcelImporter()
obj.db_name = "PCB"
obj.data = deepcopy(DATA)
obj.write_database()
assert ActivityParameter.select().count() == 1
assert ActivityParameter.get().amount != 7
NEW = [{
'code':
'32aa5ab78beda5b8c8efbc89587de7a5',
'database':
'PCB',
'parameters': [{
'name': 'PCB_mass_total',
'amount': 11,
'formula': '7'
}],
}]
obj.write_activity_parameters(NEW)
assert ActivityParameter.select().count() == 1
a = ActivityParameter.get()
assert a.formula == '7'
assert a.amount == 7
def test_excel_products_lca():
ei = ExcelImporter(os.path.join(EXCEL_FIXTURES_DIR, "with_products.xlsx"))
ei.strategies = [
csv_restore_tuples,
csv_restore_booleans,
csv_numerize,
csv_drop_unknown,
csv_add_missing_exchanges_section,
normalize_units,
set_code_by_activity_hash,
assign_only_product_as_production,
link_technosphere_by_activity_hash,
drop_falsey_uncertainty_fields_but_keep_zeros,
convert_uncertainty_types_to_integers,
]
ei.apply_strategies()
ei.match_database()
ei.write_database()
lca = LCA({('Product example', 'B'): 1})
lca.lci()
keys = {('Product example', 'B'), ('Product example', 'C'),
('Product example', 'E')}
for key in lca.product_dict:
assert key in keys
keys = {('Product example', 'A'), ('Product example', 'C'),
('Product example', 'D')}
for key in lca.activity_dict:
assert key in keys
for value in lca.supply_array:
assert np.allclose(value, 1) or np.allclose(
value, 0.539) or np.allclose(value, 0.539 * 0.00805)
def test_example_notebook():
ei = ExcelImporter(os.path.join(EXCEL_FIXTURES_DIR, "sample_activities_with_variables.xlsx"))
ei.strategies = [
csv_restore_tuples,
csv_restore_booleans,
csv_numerize,
csv_drop_unknown,
csv_add_missing_exchanges_section,
normalize_units,
set_code_by_activity_hash,
assign_only_product_as_production,
link_technosphere_by_activity_hash,
drop_falsey_uncertainty_fields_but_keep_zeros,
convert_uncertainty_types_to_integers,
convert_activity_parameters_to_list,
]
ei.apply_strategies()
ei.match_database(fields=['name'])
ei.write_database()
def test_empty_activity_parameters_dont_delete(no_init):
# Empty activity parameters aren't considered at all
# so they shouldn't be deleted if empty section provided
Database("PCB").register()
obj = ExcelImporter()
obj.db_name = "PCB"
obj.data = deepcopy(DATA)
obj.write_database()
assert len(parameters)
NEW = deepcopy(DATA)
for ds in NEW:
if "parameters" in ds:
del ds["parameters"]
Database("PCB").register()
obj = ExcelImporter()
obj.db_name = "PCB"
obj.data = NEW
obj.write_database(delete_existing=False)
assert len(parameters)
def test_write_only_activity_parameters(no_init):
assert not ActivityParameter.select().count()
Database("PCB").register()
obj = ExcelImporter()
obj.db_name = "PCB"
obj.data = deepcopy(DATA)
obj.write_database()
assert ActivityParameter.select().count() == 1
assert ActivityParameter.get().amount != 7
NEW = [
{
"code": "32aa5ab78beda5b8c8efbc89587de7a5",
"database": "PCB",
"parameters": [{"name": "PCB_mass_total", "amount": 11, "formula": "7"}],
}
]
obj.write_activity_parameters(NEW)
assert ActivityParameter.select().count() == 1
a = ActivityParameter.get()
assert a.formula == "7"
assert a.amount == 7
def test_excel_products_lca():
ei = ExcelImporter(os.path.join(EXCEL_FIXTURES_DIR, "with_products.xlsx"))
ei.strategies = [
csv_restore_tuples,
csv_restore_booleans,
csv_numerize,
csv_drop_unknown,
csv_add_missing_exchanges_section,
normalize_units,
set_code_by_activity_hash,
assign_only_product_as_production,
link_technosphere_by_activity_hash,
drop_falsey_uncertainty_fields_but_keep_zeros,
convert_uncertainty_types_to_integers,
]
print(ei.data)
ei.apply_strategies()
ei.match_database()
ei.write_database()
fu, data_objs, _ = prepare_lca_inputs({("Product example", "B"): 1})
lca = LCA(fu, data_objs=data_objs)
lca.lci()
keys = {
get_id(("Product example", "B")),
get_id(("Product example", "C")),
get_id(("Product example", "E")),
}
for key in lca.dicts.product:
assert key in keys
keys = {
get_id(("Product example", "A")),
get_id(("Product example", "C")),
get_id(("Product example", "D")),
}
for key in lca.dicts.activity:
assert key in keys
for value in lca.supply_array:
assert (np.allclose(value, 1) or np.allclose(value, 0.539)
or np.allclose(value, 0.539 * 0.00805))