def test_create_json_from_csv_without_providing_parameters_raises_MissingParameterError(
):
with pytest.raises(A1.MissingParameterError):
A1.create_json_from_csv(DUMMY_CSV_PATH,
"csv_comma",
parameters=[],
asset_is_a_storage=False)
def test_create_json_from_csv_storage_raises_WrongStorageColumn():
with pytest.raises(A1.WrongStorageColumn):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_storage_wrong_column_name",
parameters=[AGE_INSTALLED, DEVELOPMENT_COSTS],
asset_is_a_storage=True,
)
def test_create_json_from_csv_storage_raises_WrongParameterWarning():
with pytest.warns(A1.WrongParameterWarning):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_storage_wrong_parameter",
parameters=[AGE_INSTALLED, DEVELOPMENT_COSTS],
asset_is_a_storage=True,
)
def test_create_json_from_csv_with_unknown_separator_for_csv_raises_CsvParsingError():
with pytest.raises(CsvParsingError):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_unknown_separator",
CSV_PARAMETERS,
asset_is_a_storage=False,
)
def test_create_json_from_csv_with_uncomplete_parameters_raises_WrongParameterWarning(
):
with pytest.raises(A1.MissingParameterError):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_comma",
parameters=["param1", "param2", "param3"],
asset_is_a_storage=False,
)
def test_create_json_from_csv_with_wrong_parameters_raises_WrongParameterWarning(
):
with pytest.warns(A1.WrongParameterWarning):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_wrong_parameter",
parameters=["param1", "param2"],
asset_is_a_storage=False,
)
def test_create_json_from_csv_with_wrong_parameters_raises_loggin_warning(caplog):
with caplog.at_level(logging.WARNING):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_wrong_parameter",
parameters=["param1", "param2"],
asset_is_a_storage=False,
)
assert (
".csv is not expected." in caplog.text
), f"There is an unexpected/wrong parameter in the inputs, but it is not recognized as such."
def test_create_json_from_csv_storage_raises_logging_warning(caplog):
with caplog.at_level(logging.WARNING):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_storage_wrong_parameter",
parameters=[AGE_INSTALLED, DEVELOPMENT_COSTS],
asset_is_a_storage=True,
)
assert (
"is not recognized." in caplog.text
), f"There is a unexpected/wrong parameter provided in the storage asset, but it is not recognized as such."
def test_create_json_from_csv_storage_raises_logging_warning_for_wrong_values(caplog):
with caplog.at_level(logging.WARNING):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_storage_wrong_values",
parameters=[AGE_INSTALLED, DEVELOPMENT_COSTS],
asset_is_a_storage=True,
)
assert (
"be set to NaN." in caplog.text
), f"There is parameter with a wrong value in provided in the storage asset, but it is not recognized as suchblack ."
def test_create_json_from_csv_float_int_parsing():
exp = {
"param1": {
UNIT: "years",
VALUE: 50.0
},
"param2": {
UNIT: "factor",
VALUE: 0.2
},
"param3": {
UNIT: "currency",
VALUE: 65.5
},
}
json = A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_float_int",
parameters=["param1", "param2", "param3"],
asset_is_a_storage=False,
)
for param in exp:
assert json["csv_float_int"]["col1"][param][VALUE] == exp[param][VALUE]
assert type(json["csv_float_int"]["col1"]["param1"][VALUE]) is int
assert type(json["csv_float_int"]["col1"]["param2"][VALUE]) is float
assert type(json["csv_float_int"]["col1"]["param3"][VALUE]) is float
def test_create_json_from_csv_without_providing_parameters_raises_MissingParameterError():
with pytest.raises(MissingParameterError):
d = A1.create_json_from_csv(
DUMMY_CSV_PATH, "csv_comma", parameters=[], asset_is_a_storage=False
)
utils.compare_input_parameters_with_reference(d, flag_missing=True)
def test_create_json_from_csv_with_ampersand_separated_csv():
d = A1.create_json_from_csv(DUMMY_CSV_PATH,
"csv_ampersand",
CSV_PARAMETERS,
asset_is_a_storage=False)
assert d == {"csv_ampersand": CSV_EXAMPLE}
def test_default_values_storage_with_thermal_losses():
exp = {
THERM_LOSSES_REL: {UNIT: "no_unit", VALUE: 0.001},
THERM_LOSSES_ABS: {UNIT: "kWh", VALUE: 0.00001},
}
data_path = os.path.join(
TEST_REPO_PATH,
"benchmark_test_inputs",
"Feature_stratified_thermal_storage",
"csv_elements",
)
json = A1.create_json_from_csv(
input_directory=data_path,
filename="storage_fix_with_fixed_thermal_losses_float",
parameters=[
"age_installed",
"development_costs",
"specific_costs",
"efficiency",
"installedCap",
"lifetime",
"specific_costs_om",
"unit",
],
asset_is_a_storage=True,
)
for param, result in exp.items():
assert (
json["storage capacity"][param][VALUE] == result[VALUE]
), f"{param} should match {result[VALUE]}"
def test_create_json_from_csv_storage_raises_MissingParameterError():
with pytest.raises(A1.MissingParameterError):
A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_storage_wrong_parameter",
parameters=[
AGE_INSTALLED,
DEVELOPMENT_COSTS,
C_RATE,
DISPATCH_PRICE,
SOC_INITIAL,
SOC_MAX,
SOC_MIN,
INSTALLED_CAP,
],
asset_is_a_storage=True,
)
def test_create_json_from_csv_ignore_extra_parameters_in_csv():
d = A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_wrong_parameter",
parameters=["param1", "param2"],
asset_is_a_storage=False,
)
assert d == {"csv_wrong_parameter": CSV_EXAMPLE}
def test_create_json_from_csv_for_list():
d = A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_list",
parameters=["param1", "param2", "param3", "param4", "param5"],
asset_is_a_storage=False,
)
for k, v in d["csv_list"]["col1"].items():
assert v == CSV_LIST[k]
def test_create_json_from_csv_for_time_series():
d = A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_timeseries",
parameters=["param1"],
asset_is_a_storage=False,
)
for k, v in d["csv_timeseries"]["col1"].items():
assert v == CSV_TIMESERIES[k]
def test_create_json_from_csv_storage_raises_MissingParameterError():
with pytest.raises(MissingParameterError):
d = A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_storage_wrong_parameter",
parameters=[
AGE_INSTALLED,
DEVELOPMENT_COSTS,
C_RATE,
DISPATCH_PRICE,
SOC_INITIAL,
SOC_MAX,
SOC_MIN,
INSTALLED_CAP,
],
asset_is_a_storage=True,
)
utils.compare_input_parameters_with_reference(d, flag_missing=True)
def test_conversion():
d = A1.create_json_from_csv(
DUMMY_CSV_PATH,
"csv_type",
parameters=[
"param_str",
"param_factor",
"param_cur",
"param_bool1",
"param_bool2",
"param_bool3",
"param_bool4",
"param_bool5",
"param_bool6",
"param_year",
],
asset_is_a_storage=False,
)
for k, v in d["csv_type"]["col1"].items():
assert v == CONVERSION_TYPE[k]
def test_create_json_from_csv_file_not_exist_raises_filenotfound_error():
with pytest.raises(FileNotFoundError):
A1.create_json_from_csv(input_directory=CSV_PATH,
filename="not_existing",
parameters=[])
