class Spec002(SpecificationBase):
name = 'spec002'
filename_fields = [
'project',
'specification',
'descriptor',
'version',
'frame',
'extension',
]
frame = ListType(IntType(), required=True)
extension = ListType(StringType(),
required=True,
validators=[lambda x: vd.is_eq(x, 'jpg')])
height = ListType(IntType(),
required=True,
validators=[lambda x: vd.is_eq(x, 5)])
width = ListType(IntType(),
required=True,
validators=[lambda x: vd.is_eq(x, 4)])
channels = ListType(IntType(),
required=True,
validators=[lambda x: vd.is_eq(x, 3)])
file_traits = dict(
width=tr.get_image_width,
height=tr.get_image_height,
channels=tr.get_num_image_channels,
)
def get_asset_path(self, filepath):
return Path(filepath).parents[0]
class Spec001(SequenceSpecificationBase):
asset_name_fields = ['project', 'specification', 'descriptor', 'version'] # type: List[str]
filename_fields = [
'project', 'specification', 'descriptor', 'version', 'coordinate',
'frame', 'extension'
] # type: List[str]
descriptor = ListType(
StringType(),
required=True,
validators=[vd.is_descriptor, vd.is_homogenous]
) # type: ListType
frame = ListType(
IntType(),
required=True,
validators=[vd.is_frame]
) # type: ListType
extension = ListType(
StringType(),
required=True,
validators=[vd.is_extension, lambda x: vd.is_eq(x, 'png')]
) # type: ListType
coordinate = ListType(
ListType(IntType(), required=True, validators=[vd.is_coordinate])
) # type: ListType
height = ListType(IntType(), required=True) # type: ListType
width = ListType(IntType(), required=True) # type: ListType
channels = ListType(IntType(), required=True) # type: ListType
file_traits = dict(
width=tr.get_image_width,
height=tr.get_image_height,
channels=tr.get_num_image_channels
) # type: Dict[str, Any]
class Vdb001(FileSpecificationBase):
filename_fields = [
'project', 'specification', 'descriptor', 'version', 'extension'
] # type: List[str]
extension = ListType(
StringType(),
required=True,
validators=[vd.is_extension, lambda x: vd.is_eq(x, 'vdb')]
) # type: ListType
class Spec002(SequenceSpecificationBase):
asset_name_fields = ['project', 'specification', 'descriptor', 'version'] # type: List[str]
filename_fields = [
'project', 'specification', 'descriptor', 'version', 'frame',
'extension'
] # type: List[str]
frame = ListType(
IntType(),
required=True,
validators=[vd.is_frame, lambda x: vd.is_gt(x, -1)]
) # type: ListType
extension = ListType(
StringType(),
required=True,
validators=[vd.is_extension, lambda x: vd.is_eq(x, 'jpg')]
) # type: ListType
width = ListType(
IntType(),
required=True,
validators=[lambda x: vd.is_eq(x, 1024)]
) # type: ListType
height = ListType(
IntType(),
required=True,
validators=[lambda x: vd.is_eq(x, 1024)]
) # type: ListType
channels = ListType(
IntType(),
required=True,
validators=[lambda x: vd.is_eq(x, 3)]
) # type: ListType
file_traits = dict(
width=tr.get_image_width,
height=tr.get_image_height,
channels=tr.get_num_image_channels
) # type: Dict[str, Any]
class Raw002(SequenceSpecificationBase):
'''
Raw JPEG sequences with 1 or 3 channels and coordinates.
Attributes:
filename_fields (list[str]): project, specification, descriptor,
version, frame, extension
asset_name_fields (list[str]): project, specification, descriptor,
version,
height (int): Image height. Must be 1024.
width (int): Image width. Must be 1024.
extension (str): File extension. Must be "png".
'''
asset_name_fields = ['project', 'specification', 'descriptor',
'version'] # type: List[str]
filename_fields = [
'project', 'specification', 'descriptor', 'version', 'coordinate',
'frame', 'extension'
] # type: List[str]
height = ListType(IntType(), required=True) # type: ListType
width = ListType(IntType(), required=True) # type: ListType
frame = ListType(IntType(), required=True,
validators=[vd.is_frame]) # type: ListType
coordinate = ListType(
ListType(IntType(), validators=[vd.is_coordinate]),
required=True,
) # type: ListType
channels = ListType(IntType(),
required=True,
validators=[lambda x: vd.is_in(x, [1, 3])
]) # type: ListType
extension = ListType(
StringType(),
required=True,
validators=[vd.is_extension,
lambda x: vd.is_eq(x, 'jpg')]) # type: ListType
file_traits = dict(
width=tr.get_image_width,
height=tr.get_image_height,
channels=tr.get_num_image_channels,
) # type: Dict[str, Any]
def test_is_eq(self):
vd.is_eq(1, 1)
expected = 'foo != bar.'
with self.assertRaisesRegexp(ValidationError, expected):
vd.is_eq('foo', 'bar')
