Source code for steno3d.texture

""" contains the texture resource structures"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

from collections import namedtuple
from io import BytesIO
from json import dumps
from six import string_types
import properties

from .base import BaseTexture2D
from .props import image_download

FileProp = namedtuple('FileProp', ['file', 'dtype'])

[docs]class Texture2DImage(BaseTexture2D): """Contains an image that can be mapped to a 2D surface""" _resource_class = 'image' O = properties.Vector3( doc='Origin of the texture' ) U = properties.Vector3( doc='U axis of the texture' ) V = properties.Vector3( doc='V axis of the texture' ) image = properties.ImagePNG( doc='Image file', deserializer=image_download, ) def _nbytes(self, img=None): if img is None or (isinstance(img, string_types) and img == 'image'): img = self.image try: return len( except: raise ValueError('Texture2DImage cannot calculate the number of ' 'bytes of {}'.format(img)) @properties.validator('image') def _reject_large_files(self, change): self._validate_file_size(change['name'], change['value']) @properties.validator def _validate_image(self): self._validate_file_size('image', self.image) return True def _get_dirty_files(self, force=False): files = super(Texture2DImage, self)._get_dirty_files(force) dirty = self._dirty_props if 'image' in dirty or force: copy = BytesIO() = 'texture_copy.png' copy.write( files['image'] = FileProp(copy, 'png') return files def _get_dirty_data(self, force=False): datadict = super(Texture2DImage, self)._get_dirty_data(force) dirty = self._dirty_props if ('O' in dirty or 'U' in dirty or 'V' in dirty) or force: datadict['OUV'] = dumps(dict( O=self.O.tolist(), U=self.U.tolist(), V=self.V.tolist(), )) return datadict def _repr_png_(self): """For IPython display""" if self.image is None: return None return @classmethod def _build_from_json(cls, json, **kwargs): tex = Texture2DImage( title=kwargs['title'], description=kwargs['description'], O=json['OUV']['O'], U=json['OUV']['U'], V=json['OUV']['V'], image=cls._props['image'].deserialize(json['image']) ) return tex @classmethod def _build_from_omf(cls, omf_tex, omf_project): tex = Texture2DImage(, description=omf_tex.description, O=omf_tex.origin + omf_project.origin, U=omf_tex.axis_u, V=omf_tex.axis_v, image=omf_tex.image ) return tex
__all__ = ['Texture2DImage']