def test_Optimiser__get_cable_db_error(mocker):
# Fake the meta
meta = mocker.Mock()
test = Optimiser(meta, "Radial")
with pytest.raises(KeyError):
test._get_cable_db("wrong")
def test_Optimiser_cable_rating(mocker):
# Fake a database
df_dict = {"id": [1],
"a_air": [1]}
df = pd.DataFrame(df_dict)
database = mocker.Mock()
database.export_cable = df
# Fake the meta
meta = mocker.Mock()
meta.database = database
test = Optimiser(meta, "Radial")
result = test.cable_rating(1, "export")
assert result == 1
def test_Optimiser_db_compatibility_star(mocker):
# Fake a database
df_dict = {"id": [1, 2],
"v_rate": [6600, 11000],
"v1": [6600, 11000],
"a_air": [50, 50]}
df = pd.DataFrame(df_dict)
database = mocker.Mock()
database.array_cable = df
database.export_cable = df
database.collection_points = df
database.wet_mate_connectors = df
database.dynamic_cable = df
# Fake the meta
meta = mocker.Mock()
meta.array_data.machine_data.technology = 'fixed'
meta.array_data.machine_data.max_current = 20
# Options
oec_voltage = 6600
array_power = None
export_voltage = 11000
array_voltage = 6600
test = Optimiser(meta, "Star")
result = test.db_compatibility(database,
oec_voltage,
array_power,
export_voltage,
array_voltage)
assert result['connector'] == 1
assert result['array'][0] == 1
assert result['cp'] == 1
assert result['export'][0] == 2
assert result['device'] == 1
def test_Optimiser_db_compatibility_radial(mocker):
# Fake a database
df_dict = {"id": [1, 2],
"v_rate": [6600, 11000],
"v1": [6600, 11000]}
df = pd.DataFrame(df_dict)
database = mocker.Mock()
database.array_cable = df
database.export_cable = df
database.collection_points = df
database.wet_mate_connectors = df
database.dynamic_cable = df
# Fake the meta
meta = mocker.Mock()
meta.array_data.machine_data.technology = 'floating'
meta.options.user_umbilical = None
# Options
oec_voltage = 6600
array_power = None
export_voltage = 11000
array_voltage = 6600
test = Optimiser(meta, "Radial")
result = test.db_compatibility(database,
oec_voltage,
array_power,
export_voltage,
array_voltage)
assert result['connector'] == 1
assert result['array'][0] == 1
assert result['cp'] == 1
assert result['export'][0] == 2
assert result['umbilical'] == 1
def test_Optimiser_check_lcoe(mocker):
# Fake the meta
meta = mocker.Mock()
test = Optimiser(meta, "Radial")
# Fake the results
test.lcoe = [2, 1]
networks = [mocker.Mock(), mocker.Mock()]
for i, network in enumerate(networks):
network.i = i
network.array_constraints.flag = False
network.export_constraints.flag = False
network.lcoe = test.lcoe[i]
test.networks = networks
result = test.check_lcoe()
assert result == 1
def test_Optimiser_cable_impedance(mocker):
# Fake a database
df_dict = {"id": [1],
"r_ac": [1],
"xl": [2],
"c": [3]}
df = pd.DataFrame(df_dict)
database = mocker.Mock()
database.array_cable = df
# Fake the meta
meta = mocker.Mock()
meta.database = database
test = Optimiser(meta, "Radial")
result = test.cable_impedance(1, "array")
assert result == (1, 2, 3)
def test_Optimiser_check_lcoe_error(mocker):
# Fake the meta
meta = mocker.Mock()
test = Optimiser(meta, "Radial")
# Fake the results
test.lcoe = [np.inf, np.inf]
networks = [mocker.Mock(), mocker.Mock()]
for i, network in enumerate(networks):
network.i = i
network.array_constraints.flag = False
network.export_constraints.flag = False
network.lcoe = test.lcoe[i]
test.networks = networks
with pytest.raises(ValueError):
test.check_lcoe()