def after_transform(self, context):
finish_callback = functools.partial(self.finish_request, context)
if context.modules.filters and context.request.filters:
self.apply_filters(filters_module.create_instances(context, context.modules.filters, context.request.filters), finish_callback)
else:
finish_callback()
def after_transform(self, context):
finish_callback = functools.partial(self.finish_request, context)
if context.modules.filters and context.request.filters:
self.apply_filters(
filters_module.create_instances(context,
context.modules.filters,
context.request.filters),
finish_callback)
else:
finish_callback()
def topic(self):
conf = Config()
req = RequestParameters(quality=100)
ctx = Context(None, conf, None)
ctx.request = req
filters = [Filter]
compile_filters(filters)
filter_instances = create_instances(ctx, filters, "quality(10)")
filter_instances[0].run_filter()
return ctx.request.quality
def callback(normalized, buffer):
if buffer is None:
self._error(404)
return
new_crops = None
if normalized and should_crop:
actual_width, actual_height = self.engine.size
if not width and not height:
actual_width = self.engine.size[0]
actual_height = self.engine.size[1]
elif width:
actual_height = self.engine.get_proportional_height(self.engine.size[0])
elif height:
actual_width = self.engine.get_proportional_width(self.engine.size[1])
new_crops = self.translate_crop_coordinates(
self.engine.source_width,
self.engine.source_height,
actual_width,
actual_height,
crop_left,
crop_top,
crop_right,
crop_bottom
)
context = dict(
loader=self.loader,
engine=self.engine,
storage=self.storage,
detectors=self.detectors,
normalized=normalized,
buffer=buffer,
should_crop=should_crop,
crop_left=new_crops and new_crops[0] or crop_left,
crop_top=new_crops and new_crops[1] or crop_top,
crop_right=new_crops and new_crops[2] or crop_right,
crop_bottom=new_crops and new_crops[3] or crop_bottom,
fit_in=fit_in,
should_flip_horizontal=horizontal_flip,
width=width,
should_flip_vertical=vertical_flip,
height=height,
halign=halign,
valign=valign,
smart=should_be_smart,
image_url=image,
extension=extension,
filters=[],
focal_points=[]
)
self.engine.load(buffer, extension)
if meta:
context['engine'] = JSONEngine(self.engine, image)
if self.filters and filters:
context['filters'] = filters_module.create_instances(self.engine, self.filters, filters)
Transformer(context).transform()
if meta:
content_type = 'text/javascript' if options.META_CALLBACK_NAME else 'application/json'
else:
content_type = CONTENT_TYPE[context['extension']]
self.set_header('Content-Type', content_type)
results = context['engine'].read(context['extension'])
self.write(results)
self.finish()
