def test_GIVEN_empty_string_WHEN_validating_field_value_THEN_returns_intermediate_and_emits_signal_with_false(
):
validator = FieldValueValidator(object, object)
validator.is_valid = Mock()
assert validator.validate("", 0) == QValidator.Intermediate
validator.is_valid.emit.assert_called_once_with(False)
def test_GIVEN_invalid_float_value_WHEN_validating_field_value_THEN_returns_intermediate_and_emits_signal_with_false():
invalid_value = "sdfn"
field_type_combo = DummyCombo(FieldType.scalar_dataset.value)
dataset_type_combo = DummyCombo("Float")
validator = FieldValueValidator(
field_type_combo, dataset_type_combo, FieldType.scalar_dataset.value
)
validator.is_valid = Mock()
assert validator.validate(invalid_value, 0) == QValidator.Intermediate
validator.is_valid.emit.assert_called_once_with(False)
def test_GIVEN_valid_string_value_WHEN_validating_field_value_THEN_returns_acceptable_and_emits_signal_with_true():
strvalue = "123a"
field_type_combo = DummyCombo(FieldType.scalar_dataset.value)
dataset_type_combo = DummyCombo("String")
validator = FieldValueValidator(
field_type_combo, dataset_type_combo, FieldType.scalar_dataset.value
)
validator.is_valid = Mock()
assert validator.validate(strvalue, 0) == QValidator.Acceptable
validator.is_valid.emit.assert_called_once_with(True)
def _set_up_value_validator(self, is_link: bool):
self.value_line_edit.setValidator(None)
if is_link:
self.value_line_edit.setValidator(
HDFLocationExistsValidator(self.instrument.nexus.nexus_file,
self.field_type_combo))
tooltip_on_accept = "Valid HDF path"
tooltip_on_reject = "HDF Path is not valid"
else:
self.value_line_edit.setValidator(
FieldValueValidator(
self.field_type_combo,
self.value_type_combo,
FieldType.scalar_dataset.value,
))
tooltip_on_accept = "Value is cast-able to numpy type."
tooltip_on_reject = "Value is not cast-able to selected numpy type."
self.value_line_edit.validator().is_valid.connect(
partial(
validate_line_edit,
self.value_line_edit,
tooltip_on_accept=tooltip_on_accept,
tooltip_on_reject=tooltip_on_reject,
))
self.value_line_edit.validator().validate(self.value_line_edit.text(),
None)
def dtype_changed(self, _: str):
self.attr_value_lineedit.setValidator(
FieldValueValidator(self.array_or_scalar_combo,
self.attr_dtype_combo))
self.attr_value_lineedit.validator().is_valid.connect(
partial(
validate_line_edit,
self.attr_value_lineedit,
tooltip_on_accept="Value is cast-able to numpy type.",
tooltip_on_reject=
"Value is not cast-able to selected numpy type.",
))
self.attr_value_lineedit.validator().validate(
self.attr_value_lineedit.text(), 0)
def _set_up_value_validator(self, is_link: bool):
self.value_line_edit.setValidator(None)
if is_link:
return
else:
self.value_line_edit.setValidator(
FieldValueValidator(
self.field_type_combo,
self.value_type_combo,
FieldType.scalar_dataset.value,
))
tooltip_on_accept = "Value is cast-able to numpy type."
tooltip_on_reject = "Value is not cast-able to selected numpy type."
self.value_line_edit.validator().is_valid.connect(
partial(
validate_line_edit,
self.value_line_edit,
tooltip_on_accept=tooltip_on_accept,
tooltip_on_reject=tooltip_on_reject,
))
self.value_line_edit.validator().validate(self.value_line_edit.text(),
None)