django-imagekit/imagekit/specs/__init__.py
2013-02-25 22:42:47 -05:00

217 lines
6.8 KiB
Python

from django.conf import settings
from django.db.models.fields.files import ImageFieldFile
from hashlib import md5
import pickle
from ..cachefiles.backends import get_default_cachefile_backend
from ..cachefiles.strategies import StrategyWrapper
from ..exceptions import MissingSource
from ..processors import ProcessorPipeline
from ..utils import open_image, img_to_fobj, get_by_qname
from ..registry import generator_registry, register
class BaseImageSpec(object):
"""
An object that defines how an new image should be generated from a source
image.
"""
cachefile_storage = None
"""A Django storage system to use to save a cache file."""
cachefile_backend = None
"""
An object responsible for managing the state of cache files. Defaults to
an instance of ``IMAGEKIT_DEFAULT_CACHEFILE_BACKEND``
"""
cachefile_strategy = settings.IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY
"""
A dictionary containing callbacks that allow you to customize how and when
the image file is created. Defaults to
``IMAGEKIT_DEFAULT_CACHEFILE_STRATEGY``.
"""
def __init__(self):
self.cachefile_backend = self.cachefile_backend or get_default_cachefile_backend()
self.cachefile_strategy = StrategyWrapper(self.cachefile_strategy)
def generate(self):
raise NotImplementedError
MissingSource = MissingSource
"""
Raised when an operation requiring a source is attempted on a spec that has
no source.
"""
class ImageSpec(BaseImageSpec):
"""
An object that defines how to generate a new image from a source file using
PIL-based processors. (See :mod:`imagekit.processors`)
"""
processors = []
"""A list of processors to run on the original image."""
format = None
"""
The format of the output file. If not provided, ImageSpecField will try to
guess the appropriate format based on the extension of the filename and the
format of the input image.
"""
options = None
"""
A dictionary that will be passed to PIL's ``Image.save()`` method as keyword
arguments. Valid options vary between formats, but some examples include
``quality``, ``optimize``, and ``progressive`` for JPEGs. See the PIL
documentation for others.
"""
autoconvert = True
"""
Specifies whether automatic conversion using ``prepare_image()`` should be
performed prior to saving.
"""
def __init__(self, source):
self.source = source
super(ImageSpec, self).__init__()
@property
def cachefile_name(self):
if not self.source:
return None
fn = get_by_qname(settings.IMAGEKIT_SPEC_CACHEFILE_NAMER, 'namer')
return fn(self)
def __getstate__(self):
state = self.__dict__
# Unpickled ImageFieldFiles won't work (they're missing a storage
# object). Since they're such a common use case, we special case them.
if isinstance(self.source, ImageFieldFile):
field = getattr(self.source, 'field')
state['_field_data'] = {
'instance': getattr(self.source, 'instance', None),
'attname': getattr(field, 'name', None),
}
return state
def __setstate__(self, state):
field_data = state.pop('_field_data', None)
self.__dict__ = state
if field_data:
self.source = getattr(field_data['instance'], field_data['attname'])
def get_hash(self):
return md5(pickle.dumps([
self.source.name,
self.processors,
self.format,
self.options,
self.autoconvert,
])).hexdigest()
def generate(self):
if not self.source:
raise MissingSource("The spec '%s' has no source file associated"
" with it." % self)
# TODO: Move into a generator base class
# TODO: Factor out a generate_image function so you can create a generator and only override the PIL.Image creating part. (The tricky part is how to deal with original_format since generator base class won't have one.)
img = open_image(self.source)
original_format = img.format
# Run the processors
processors = self.processors
img = ProcessorPipeline(processors or []).process(img)
options = dict(self.options or {})
format = self.format or img.format or original_format or 'JPEG'
content = img_to_fobj(img, format, **options)
return content
def create_spec_class(class_attrs):
class DynamicSpecBase(ImageSpec):
def __reduce__(self):
try:
getstate = self.__getstate__
except AttributeError:
state = self.__dict__
else:
state = getstate()
return (create_spec, (class_attrs, state))
return type('DynamicSpec', (DynamicSpecBase,), class_attrs)
def create_spec(class_attrs, state):
cls = create_spec_class(class_attrs)
instance = cls.__new__(cls) # Create an instance without calling the __init__ (which may have required args).
try:
setstate = instance.__setstate__
except AttributeError:
instance.__dict__ = state
else:
setstate(state)
return instance
class SpecHost(object):
"""
An object that ostensibly has a spec attribute but really delegates to the
spec registry.
"""
def __init__(self, spec=None, spec_id=None, **kwargs):
spec_attrs = dict((k, v) for k, v in kwargs.items() if v is not None)
if spec_attrs:
if spec:
raise TypeError('You can provide either an image spec or'
' arguments for the ImageSpec constructor, but not both.')
else:
spec = create_spec_class(spec_attrs)
self._original_spec = spec
if spec_id:
self.set_spec_id(spec_id)
def set_spec_id(self, id):
"""
Sets the spec id for this object. Useful for when the id isn't
known when the instance is constructed (e.g. for ImageSpecFields whose
generated `spec_id`s are only known when they are contributed to a
class). If the object was initialized with a spec, it will be registered
under the provided id.
"""
self.spec_id = id
register.generator(id, self._original_spec)
def get_spec(self, source):
"""
Look up the spec by the spec id. We do this (instead of storing the
spec as an attribute) so that users can override apps' specs--without
having to edit model definitions--simply by registering another spec
with the same id.
"""
if not getattr(self, 'spec_id', None):
raise Exception('Object %s has no spec id.' % self)
return generator_registry.get(self.spec_id, source=source)