def testModelInstance_defaultLoadCurve(self):
mdl = datamodel.get_model_base()
mdl.update(goodVehicle())
datamodel.upd_default_load_curve(mdl)
validator = datamodel.model_validator()
validator.validate(mdl)
datamodel.upd_default_load_curve(mdl, "diesel")
validator = datamodel.model_validator()
validator.validate(mdl)
def testModelInstance_simplInstanceeFullLoadCurve(self):
mdl = datamodel.get_model_base()
mdl.update(goodVehicle())
mdl.update({
"wot": [
[1, 1, 1, 1, 1, 1, 1, 1, 1],
[0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23],
]
})
datamodel.model_validator().validate(mdl)
dwot = datamodel.upd_default_load_curve({})["wot"]
self.assertNotEqual(mdl["wot"], dwot)
def test_validate_wltc_data(self):
mdl = datamodel.get_model_base()
mdl = datamodel.merge(mdl, goodVehicle())
validator = datamodel.model_validator(validate_wltc_data=True,
validate_schema=True)
validator.validate(mdl)
def testModelInstance_missingLoadCurve(self):
json_txt = self.goodVehicle_jsonTxt % ("")
mdl = json.loads(json_txt)
validator = datamodel.model_validator()
self.assertRaisesRegex(
jsonschema.ValidationError,
"'wot' is a required property",
validator.validate,
mdl,
)