def _validate_ui_config(obj_type, ui_config):
"""Validates the value of a UI configuration."""
reference_dict = UI_CONFIG_SPECS[obj_type]
assert set(ui_config.keys()) <= set(reference_dict.keys())
for key, value in ui_config.iteritems():
schema_utils.normalize_against_schema(
value, reference_dict[key])
def _validate_ui_config(obj_type, ui_config):
"""Validates the value of a UI configuration."""
reference_dict = UI_CONFIG_SPECS[obj_type]
assert set(ui_config.keys()) <= set(reference_dict.keys())
for key, value in ui_config.iteritems():
schema_utils.normalize_against_schema(
value, reference_dict[key])
def test_normalize_against_schema_raises_exception(self):
"""Tests if normalize against schema raises exception
for invalid key.
"""
with self.assertRaises(Exception):
schema = {SCHEMA_KEY_TYPE: 'invalid'}
schema_utils.normalize_against_schema('obj', schema)
def check_normalization(self, schema, mappings,
invalid_items_with_error_messages):
"""Validates the schema and tests that values are normalized correctly.
Args:
schema: dict. The schema to normalize the value
against. Each schema is a dict with at least a key called
'type'. The 'type' can take one of the SCHEMA_TYPE_* values
declared above.
mappings: list(tuple). A list of 2-element tuples.
The first element of each item is expected to be normalized to
the second.
invalid_items_with_error_messages: list(tuple(str, str)). A list of
values with their corresponding messages. Each value is expected
to raise an AssertionError when normalized.
"""
validate_schema(schema)
for raw_value, expected_value in mappings:
self.assertEqual(
schema_utils.normalize_against_schema(raw_value, schema),
expected_value)
for value, error_msg in invalid_items_with_error_messages:
with self.assertRaisesRegexp(Exception, error_msg):
schema_utils.normalize_against_schema(value, schema)
def validate_customization_arg_values(self, customization_args):
"""Validates customization arg values. The input is a dict whose
keys are the names of the customization args.
"""
for ca_spec in self.customization_arg_specs:
schema_utils.normalize_against_schema(
customization_args[ca_spec.name]['value'], ca_spec.schema)
def validate(self):
"""Validates a visualization object.
This is only used in tests for the validity of interactions.
"""
# Check that the calculation id exists.
calculation_registry.Registry.get_calculation_by_id(self.calculation_id)
# Check that the options_dict is valid.
expected_option_names = sorted([
python_utils.convert_to_bytes(
spec['name']) for spec in self._OPTIONS_SPECS])
actual_option_names = sorted(self.options.keys())
if actual_option_names != expected_option_names:
raise utils.ValidationError(
'For visualization %s, expected option names %s; received '
'names %s' %
(self.id, expected_option_names, actual_option_names))
# Check that the schemas are correct.
for spec in self._OPTIONS_SPECS:
schema_utils.normalize_against_schema(
self.options[spec['name']], spec['schema'])
# Check that addressed_info_is_supported is valid.
if not isinstance(self.addressed_info_is_supported, bool):
raise utils.ValidationError(
'For visualization %s, expected a bool value for '
'addressed_info_is_supported; received %s' %
(self.id, self.addressed_info_is_supported))
def test_schema_key_post_normalizers(self):
"""Test post normalizers in schema using basic html schema."""
schema_1 = {
'type':
schema_utils.SCHEMA_TYPE_HTML,
'post_normalizers': [
{
'id': 'normalize_spaces'
}, # html strings with no extra spaces
]
}
obj_1 = 'a a'
normalize_obj_1 = schema_utils.normalize_against_schema(
obj_1, schema_1)
self.assertEqual(u'a a', normalize_obj_1)
schema_2 = {
'type': schema_utils.SCHEMA_TYPE_HTML,
'post_normalizers': [{
'id': 'sanitize_url'
}]
}
obj_2 = 'http://www.oppia.org/splash/<script>'
normalize_obj_2 = schema_utils.normalize_against_schema(
obj_2, schema_2)
self.assertEqual(u'http://www.oppia.org/splash/', normalize_obj_2)
def test_normalize_against_schema_raises_exception(self):
# type: () -> None
"""Tests if normalize against schema raises exception
for invalid key.
"""
with self.assertRaisesRegexp(Exception, 'Invalid schema type: invalid'): # type: ignore[no-untyped-call]
schema = {SCHEMA_KEY_TYPE: 'invalid'}
schema_utils.normalize_against_schema('obj', schema)
def validate_customization_arg_values(self, customization_args):
"""Validates customization arg values. The input is a dict whose
keys are the names of the customization args.
"""
for ca_spec in self.customization_arg_specs:
schema_utils.normalize_against_schema(
customization_args[ca_spec.name]['value'],
ca_spec.schema)
def test_global_validators_raise_exception_when_error_in_list(self):
with self.assertRaisesRegexp(
AssertionError,
r'^Validation failed: does_not_contain_email .* [email protected]$'
):
obj = {
'unicodeListProp': ['*****@*****.**', 'not email 2'],
'unicodeProp': 'not email'
}
schema_utils.normalize_against_schema(
obj, self.GLOBAL_VALIDATORS_SCHEMA,
global_validators=self.GLOBAL_VALIDATORS
)
def test_global_validators_raise_exception_when_error_in_dict(self):
# type: () -> None
with self.assertRaisesRegexp( # type: ignore[no-untyped-call]
AssertionError,
r'^Validation failed: does_not_contain_email .* [email protected]$'
):
obj = {
'unicodeListProp': ['not email', 'not email 2'],
'unicodeProp': '*****@*****.**'
}
schema_utils.normalize_against_schema(
obj,
self.GLOBAL_VALIDATORS_SCHEMA,
global_validators=self.GLOBAL_VALIDATORS)
def normalize(cls, raw):
"""Validates and normalizes a raw Python object."""
"""
Checks that there are no self-loops or multiple edges.
Checks that unlabeled graphs have all labels empty.
Checks that unweighted graphs have all weights set to 1.
TODO(czx): Think about support for multigraphs?
"""
try:
raw = schema_utils.normalize_against_schema(raw, cls.SCHEMA)
if not raw["isLabeled"]:
for vertex in raw["vertices"]:
assert vertex["label"] == ""
for edge in raw["edges"]:
assert edge["src"] != edge["dst"]
if not raw["isWeighted"]:
assert edge["weight"] == 1.0
if raw["isDirected"]:
edge_pairs = [(edge["src"], edge["dst"]) for edge in raw["edges"]]
else:
edge_pairs = [(edge["src"], edge["dst"]) for edge in raw["edges"]] + [
(edge["dst"], edge["src"]) for edge in raw["edges"]
]
assert len(set(edge_pairs)) == len(edge_pairs)
except Exception:
raise TypeError("Cannot convert to graph %s" % raw)
return raw
def _validate_customization_arg_specs(self, customization_args):
"""Validates the customization arg specs for the interaction.
Args:
customization_args: list(dict(str, *)). The customization args for
the interaction.
"""
for ca_spec in customization_args:
self.assertEqual(set(ca_spec.keys()), set([
'name', 'description', 'schema', 'default_value']))
self.assertTrue(
isinstance(ca_spec['name'], python_utils.BASESTRING))
self.assertTrue(self._is_alphanumeric_string(ca_spec['name']))
self.assertTrue(
isinstance(ca_spec['description'], python_utils.BASESTRING))
self.assertGreater(len(ca_spec['description']), 0)
schema_utils_test.validate_schema(ca_spec['schema'])
self.assertEqual(
ca_spec['default_value'],
schema_utils.normalize_against_schema(
ca_spec['default_value'], ca_spec['schema']))
if ca_spec['schema']['type'] == 'custom':
obj_class = obj_services.Registry.get_object_class_by_type(
ca_spec['schema']['obj_type'])
self.assertEqual(
ca_spec['default_value'],
obj_class.normalize(ca_spec['default_value']))
def normalize(cls, raw):
"""Validates and normalizes a raw Python object."""
"""
Checks that there are no self-loops or multiple edges.
Checks that unlabeled graphs have all labels empty.
Checks that unweighted graphs have all weights set to 1.
TODO(czx): Think about support for multigraphs?
"""
try:
raw = schema_utils.normalize_against_schema(raw, cls.SCHEMA)
if not raw['isLabeled']:
for vertex in raw['vertices']:
assert (vertex['label'] == '')
for edge in raw['edges']:
assert (edge['src'] != edge['dst'])
if not raw['isWeighted']:
assert (edge['weight'] == 1.0)
if raw['isDirected']:
edge_pairs = [
(edge['src'], edge['dst']) for edge in raw['edges']]
else:
edge_pairs = (
[(edge['src'], edge['dst']) for edge in raw['edges']] +
[(edge['dst'], edge['src']) for edge in raw['edges']]
)
assert len(set(edge_pairs)) == len(edge_pairs)
except Exception:
raise TypeError('Cannot convert to graph %s' % raw)
return raw
def _validate_customization_arg_specs(self, customization_args):
"""Validates the customization arg specs for the interaction.
Args:
customization_args: list(CustomizationArgSpec). The customization
args for the interaction.
"""
for ca_spec in customization_args:
self.assertTrue(
all(
hasattr(ca_spec, attr) for attr in
['name', 'description', 'schema', 'default_value']))
self.assertTrue(isinstance(ca_spec.name, python_utils.BASESTRING))
self.assertTrue(self._is_alphanumeric_string(ca_spec.name))
self.assertTrue(
isinstance(ca_spec.description, python_utils.BASESTRING))
self.assertGreater(len(ca_spec.description), 0)
schema_utils_test.validate_schema(ca_spec.schema)
self.assertEqual(
ca_spec.default_value,
schema_utils.normalize_against_schema(ca_spec.default_value,
ca_spec.schema))
if ca_spec.schema['type'] == 'custom':
obj_class = object_registry.Registry.get_object_class_by_type(
ca_spec.schema['obj_type'])
self.assertEqual(ca_spec.default_value,
obj_class.normalize(ca_spec.default_value))
def _validate_customization_arg_specs(self, customization_arg_specs):
for ca_spec in customization_arg_specs:
self.assertEqual(set(ca_spec.keys()), set([
'name', 'description', 'schema', 'default_value']))
self.assertTrue(isinstance(ca_spec['name'], basestring))
self.assertTrue(self._is_alphanumeric_string(ca_spec['name']))
self.assertTrue(isinstance(ca_spec['description'], basestring))
self.assertGreater(len(ca_spec['description']), 0)
# The default value might not pass validation checks (e.g. the
# Image component has a required field whose default value is
# empty). Thus, when checking the default value schema, we don't
# apply the custom validators.
schema_utils_test.validate_schema(ca_spec['schema'])
self.assertEqual(
ca_spec['default_value'],
schema_utils.normalize_against_schema(
ca_spec['default_value'], ca_spec['schema'],
apply_custom_validators=False))
if ca_spec['schema']['type'] == 'custom':
obj_class = obj_services.Registry.get_object_class_by_type(
ca_spec['schema']['obj_type'])
self.assertIsNotNone(obj_class.edit_html_filename)
self.assertIsNotNone(obj_class.edit_js_filename)
self.assertEqual(
ca_spec['default_value'],
obj_class.normalize(ca_spec['default_value']))
def normalize(cls, raw):
# Moves cur_value to the nearest available value in the range
# [min_value, max_value].
"""Returns the normalized coordinates of the rectangle.
Args:
raw: *. An object to be validated against the schema, normalizing if
necessary.
Returns:
list(list(float)). The normalized object containing list of lists of
float values as coordinates of the rectangle.
Raises:
TypeError: Cannot convert to the NormalizedRectangle2D schema.
"""
def clamp(min_value, current_value, max_value):
return min(max_value, max(min_value, current_value))
try:
raw = schema_utils.normalize_against_schema(raw, cls.SCHEMA)
raw[0][0] = clamp(0.0, raw[0][0], 1.0)
raw[0][1] = clamp(0.0, raw[0][1], 1.0)
raw[1][0] = clamp(0.0, raw[1][0], 1.0)
raw[1][1] = clamp(0.0, raw[1][1], 1.0)
except Exception:
raise TypeError('Cannot convert to Normalized Rectangle %s' % raw)
return raw
def _validate_customization_arg_specs(self, customization_arg_specs):
for ca_spec in customization_arg_specs:
self.assertEqual(
set(ca_spec.keys()),
set(['name', 'description', 'schema', 'default_value']))
self.assertTrue(isinstance(ca_spec['name'], basestring))
self.assertTrue(self._is_alphanumeric_string(ca_spec['name']))
self.assertTrue(isinstance(ca_spec['description'], basestring))
self.assertGreater(len(ca_spec['description']), 0)
# The default value might not pass validation checks (e.g. the
# Image component has a required field whose default value is
# empty). Thus, when checking the default value schema, we don't
# apply the custom validators.
schema_utils_test.validate_schema(ca_spec['schema'])
self.assertEqual(
ca_spec['default_value'],
schema_utils.normalize_against_schema(
ca_spec['default_value'],
ca_spec['schema'],
apply_custom_validators=False))
if ca_spec['schema']['type'] == 'custom':
obj_class = obj_services.Registry.get_object_class_by_type(
ca_spec['schema']['obj_type'])
self.assertEqual(ca_spec['default_value'],
obj_class.normalize(ca_spec['default_value']))
def _validate_validator(obj_type, validator):
# type: (Text, Dict[Text, Any]) -> None
"""Validates the value of a 'validator' field.
Args:
obj_type: str. The type of the object.
validator: dict. The Specs that needs to be validated.
Raises:
AssertionError. The object fails to validate against the schema.
"""
reference_dict = VALIDATOR_SPECS[obj_type]
assert 'id' in validator, 'id is not present in validator'
assert validator['id'] in reference_dict, (
'%s is not present in reference_dict' % validator['id'])
customization_keys = list(validator.keys())
customization_keys.remove('id')
assert (
set(customization_keys) ==
set(reference_dict[validator['id']].keys())), (
'Missing keys: %s, Extra keys: %s' % (
list(
set(reference_dict[validator['id']].keys()) -
set(customization_keys)),
list(
set(customization_keys) -
set(reference_dict[validator['id']].keys()))))
for key in customization_keys:
value = validator[key]
schema = reference_dict[validator['id']][key]
try:
schema_utils.normalize_against_schema(value, schema)
except Exception as e:
raise AssertionError(e)
# Check that the id corresponds to a valid normalizer function.
validator_fn = schema_utils.get_validator(validator['id'])
assert set(inspect.getargspec(validator_fn).args) == set(
customization_keys + ['obj']), (
'Missing keys: %s, Extra keys: %s' % (
list(
set(customization_keys + ['obj']) -
set(inspect.getargspec(validator_fn).args)),
list(
set(inspect.getargspec(validator_fn).args) -
set(customization_keys + ['obj']))))
def validate(
handler_args: Any,
handler_args_schemas: Any,
allowed_extra_args: bool,
allow_string_to_bool_conversion: bool = False
) -> Tuple[Dict[str, Any], List[str]]:
"""Calls schema utils for normalization of object against its schema
and collects all the errors.
Args:
handler_args: *. Object for normalization.
handler_args_schemas: dict. Schema for args.
allowed_extra_args: bool. Whether extra args are allowed in handler.
allow_string_to_bool_conversion: bool. Whether to allow string to
boolean coversion.
Returns:
*. A two tuple, where the first element represents the normalized value
in dict format and the second element represents the lists of errors
after validation.
"""
# Collect all errors and present them at once.
errors = []
normalized_value = {}
for arg_key, arg_schema in handler_args_schemas.items():
if arg_key not in handler_args or handler_args[arg_key] is None:
if ('default_value' in arg_schema
and arg_schema['default_value'] is None):
# Skip validation for optional cases.
continue
elif ('default_value' in arg_schema
and arg_schema['default_value'] is not None):
handler_args[arg_key] = arg_schema['default_value']
elif 'default_value' not in arg_schema:
errors.append('Missing key in handler args: %s.' % arg_key)
continue
# Below normalization is for arguments which are expected to be boolean
# but from API request they are received as string type.
if (allow_string_to_bool_conversion and arg_schema['schema']['type']
== schema_utils.SCHEMA_TYPE_BOOL and isinstance(
handler_args[arg_key], python_utils.BASESTRING)):
handler_args[arg_key] = (convert_string_to_bool(
handler_args[arg_key]))
try:
normalized_value[arg_key] = schema_utils.normalize_against_schema(
handler_args[arg_key], arg_schema['schema'])
except Exception as e:
errors.append('Schema validation for \'%s\' failed: %s' %
(arg_key, e))
extra_args = set(handler_args.keys()) - set(handler_args_schemas.keys())
if not allowed_extra_args and extra_args:
errors.append('Found extra args: %s.' % (list(extra_args)))
return normalized_value, errors
def _validate_ui_config(obj_type, ui_config):
"""Validates the value of a UI configuration.
Args:
obj_type: str. UI config spec type.
ui_config: dict. The UI config that needs to be validated.
Raises:
AssertionError. The object fails to validate against the schema.
"""
reference_dict = UI_CONFIG_SPECS[obj_type]
assert set(ui_config.keys()) <= set(reference_dict.keys()), (
'Missing keys: %s, Extra keys: %s' % (
list(set(reference_dict.keys()) - set(ui_config.keys())),
list(set(ui_config.keys()) - set(reference_dict.keys()))))
for key, value in ui_config.items():
schema_utils.normalize_against_schema(
value, reference_dict[key])
def check_normalization(self, schema, mappings, invalid_items):
"""Validates the schema and tests that values are normalized correctly.
Args:
schema: the schema to normalize the value against.
mappings: a list of 2-element tuples. The first element of
each item is expected to be normalized to the second.
invalid_items: a list of values. Each of these is expected to raise
an AssertionError when normalized.
"""
validate_schema(schema)
for raw_value, expected_value in mappings:
self.assertEqual(
schema_utils.normalize_against_schema(raw_value, schema),
expected_value)
for value in invalid_items:
with self.assertRaises(Exception):
schema_utils.normalize_against_schema(value, schema)
def test_global_validators_pass_when_no_error(self):
obj = {
'unicodeListProp': ['not email', 'not email 2'],
'unicodeProp': 'not email'
}
normalized_obj = schema_utils.normalize_against_schema(
obj, self.GLOBAL_VALIDATORS_SCHEMA,
global_validators=self.GLOBAL_VALIDATORS
)
self.assertEqual(obj, normalized_obj)
def check_normalization(self, schema, mappings, invalid_items):
"""Validates the schema and tests that values are normalized correctly.
Args:
schema: the schema to normalize the value against.
mappings: a list of 2-element tuples. The first element of
each item is expected to be normalized to the second.
invalid_items: a list of values. Each of these is expected to raise
an AssertionError when normalized.
"""
validate_schema(schema)
for raw_value, expected_value in mappings:
self.assertEqual(
schema_utils.normalize_against_schema(raw_value, schema),
expected_value)
for value in invalid_items:
with self.assertRaises(Exception):
schema_utils.normalize_against_schema(value, schema)
def normalize(cls, raw):
"""Validates and normalizes a raw Python object.
Returns:
a normalized Python object describing the Object specified by this
class.
Raises:
TypeError: if the Python object cannot be normalized.
"""
return schema_utils.normalize_against_schema(raw, cls.SCHEMA)
def normalize(self, value):
"""Validates the given object using the schema and normalizes if
necessary.
Args:
value: The value of the configuration property.
Returns:
instance. The normalized object.
"""
return schema_utils.normalize_against_schema(value, self._schema)
def __init__(self, name, schema, description, default_value):
if Registry.get_config_property(name):
raise Exception('Property with name %s already exists' % name)
self._name = name
self._schema = schema
self._description = description
self._default_value = schema_utils.normalize_against_schema(
default_value, self._schema)
Registry.init_config_property(self.name, self)
def __init__(self, name, schema, description, default_value):
if Registry.get_config_property(name):
raise Exception('Property with name %s already exists' % name)
self._name = name
self._schema = schema
self._description = description
self._default_value = schema_utils.normalize_against_schema(
default_value, self._schema)
Registry.init_config_property(self.name, self)
def __init__(self, name, schema, description, default_value):
if name in Registry._config_registry:
raise Exception('Property with name %s already exists' % name)
self._name = name
# TODO(sll): Validate the schema.
self._schema = schema
self._description = description
self._default_value = schema_utils.normalize_against_schema(
default_value, self._schema)
Registry._config_registry[self.name] = self
def _validate_validator(obj_type, validator):
"""Validates the value of a 'validator' field."""
reference_dict = VALIDATOR_SPECS[obj_type]
assert 'id' in validator and validator['id'] in reference_dict
customization_keys = validator.keys()
customization_keys.remove('id')
assert (set(customization_keys) ==
set(reference_dict[validator['id']].keys()))
for key in customization_keys:
value = validator[key]
schema = reference_dict[validator['id']][key]
try:
schema_utils.normalize_against_schema(value, schema)
except Exception as e:
raise AssertionError(e)
# Check that the id corresponds to a valid normalizer function.
validator_fn = schema_utils._Validators.get(validator['id'])
assert set(inspect.getargspec(validator_fn).args) == set(
customization_keys + ['obj'])
def _validate_validator(obj_type, validator):
"""Validates the value of a 'validator' field."""
reference_dict = VALIDATOR_SPECS[obj_type]
assert 'id' in validator and validator['id'] in reference_dict
customization_keys = validator.keys()
customization_keys.remove('id')
assert (set(customization_keys) ==
set(reference_dict[validator['id']].keys()))
for key in customization_keys:
value = validator[key]
schema = reference_dict[validator['id']][key]
try:
schema_utils.normalize_against_schema(value, schema)
except Exception as e:
raise AssertionError(e)
# Check that the id corresponds to a valid normalizer function.
validator_fn = schema_utils._Validators.get(validator['id'])
assert set(inspect.getargspec(validator_fn).args) == set(
customization_keys + ['obj'])
def validate(self):
"""Validates a visualization object.
This is only used in tests for the validity of interactions.
"""
# Check that the calculation id exists.
calculation_registry.Registry.get_calculation_by_id(self.calculation_id)
# Check that the options_dict is valid.
expected_option_names = sorted([
spec['name'] for spec in self._OPTIONS_SPECS])
actual_option_names = sorted(self.options.keys())
if actual_option_names != expected_option_names:
raise utils.ValidationError(
'For visualization %s, expected option names %s; received '
'names %s' %
(self.id, expected_option_names, actual_option_names))
# Check that the schemas are correct.
for spec in self._OPTIONS_SPECS:
schema_utils.normalize_against_schema(
self.options[spec['name']], spec['schema'])
def normalize(self, value):
"""Validates the given object using the schema and normalizes if
necessary.
Args:
value: str. The value of the configuration property.
Returns:
instance. The normalized object.
"""
email_validators = [{'id': 'does_not_contain_email'}]
return schema_utils.normalize_against_schema(
value, self._schema, global_validators=email_validators)
def normalize(cls, raw):
"""Validates and normalizes a raw Python object.
Args:
raw: *. A normalized Python object to be normalized.
Returns:
*. A normalized Python object describing the Object specified by
this class.
Raises:
TypeError. The Python object cannot be normalized.
"""
return schema_utils.normalize_against_schema(raw, cls.get_schema())
def validate(self):
"""Validates a visualization object.
This is only used in tests for the validity of interactions.
"""
# Check that the calculation id exists.
calculation_registry.Registry.get_calculation_by_id(
self.calculation_id)
# Check that the options_dict is valid.
expected_option_names = sorted(
[spec['name'] for spec in self._OPTIONS_SPECS])
actual_option_names = sorted(self.options.keys())
if actual_option_names != expected_option_names:
raise utils.ValidationError(
'For visualization %s, expected option names %s; received '
'names %s' %
(self.id, expected_option_names, actual_option_names))
# Check that the schemas are correct.
for spec in self._OPTIONS_SPECS:
schema_utils.normalize_against_schema(self.options[spec['name']],
spec['schema'])
def __init__(self, name, schema, description, default_value,
post_set_hook=None, is_directly_settable=True):
if Registry.get_config_property(name):
raise Exception('Property with name %s already exists' % name)
self._name = name
self._schema = schema
self._description = description
self._default_value = schema_utils.normalize_against_schema(
default_value, self._schema)
self._post_set_hook = post_set_hook
self._is_directly_settable = is_directly_settable
Registry.init_config_property(self.name, self)
def normalize(cls, raw):
"""Validates and normalizes a raw Python object.
Args:
raw: *. A Python object to be validated against the schema,
normalizing if necessary.
Returns:
bool. The normalized object (or False if the input is None or '').
"""
if raw is None or raw == '':
raw = False
return schema_utils.normalize_against_schema(raw, cls.SCHEMA)
def normalize(cls, raw):
"""Validates and normalizes a raw Python object.
Args:
raw: *. A Python object to be validated against the schema,
normalizing if necessary.
Returns:
unicode. The normalized object containing string in unicode format.
"""
if '\t' in raw:
raise TypeError('Unexpected tab characters in code string: %s' %
raw)
return schema_utils.normalize_against_schema(raw, cls.SCHEMA)
def normalize(cls, raw):
# Moves cur_value to the nearest available value in the range [min_value, max_value]
def clamp(min_value, current_value, max_value):
return min(max_value, max(min_value, current_value))
try:
raw = schema_utils.normalize_against_schema(raw, cls.SCHEMA)
raw[0][0] = clamp(0.0, raw[0][0], 1.0)
raw[0][1] = clamp(0.0, raw[0][1], 1.0)
raw[1][0] = clamp(0.0, raw[1][0], 1.0)
raw[1][1] = clamp(0.0, raw[1][1], 1.0)
except Exception:
raise TypeError('Cannot convert to Normalized Rectangle %s' % raw)
return raw
def _validate_customization_arg_specs(self, customization_args):
for ca_spec in customization_args:
self.assertEqual(set(ca_spec.keys()), set([
'name', 'description', 'schema', 'default_value']))
self.assertTrue(isinstance(ca_spec['name'], basestring))
self.assertTrue(self._is_alphanumeric_string(ca_spec['name']))
self.assertTrue(isinstance(ca_spec['description'], basestring))
self.assertGreater(len(ca_spec['description']), 0)
schema_utils_test.validate_schema(ca_spec['schema'])
self.assertEqual(
ca_spec['default_value'],
schema_utils.normalize_against_schema(
ca_spec['default_value'], ca_spec['schema']))
if ca_spec['schema']['type'] == 'custom':
obj_class = obj_services.Registry.get_object_class_by_type(
ca_spec['schema']['obj_type'])
self.assertIsNotNone(obj_class.edit_html_filename)
self.assertIsNotNone(obj_class.edit_js_filename)
self.assertEqual(
ca_spec['default_value'],
obj_class.normalize(ca_spec['default_value']))
def normalize(cls, raw):
"""Reads `raw` as a unicode string representing a tar file and returns
the base64-encoded contents."""
raw = schema_utils.normalize_against_schema(raw, cls._schema)
raw = base64.b64decode(raw)
return tarfile.open(fileobj=StringIO.StringIO(raw), mode='r:gz')
def normalize(self, value):
return schema_utils.normalize_against_schema(value, self._schema)
def normalize(cls, raw):
if '\t' in raw:
raise TypeError(
'Unexpected tab characters in code string: %s' % raw)
return schema_utils.normalize_against_schema(raw, cls.SCHEMA)
def normalize(cls, raw):
"""Validates and normalizes a raw Python object."""
if raw is None or raw == '':
raw = False
return schema_utils.normalize_against_schema(raw, cls.SCHEMA)