Processors no longer callable

imagekit/models/fields/__init__.py

@@ -20,14 +20,7 @@ class ImageSpecField(SpecHost):
         image_cache_backend=None, image_cache_strategy=None, spec=None,
         id=None):
 
-        # The spec accepts a callable value for processors, but it
-        # takes different arguments than the callable that ImageSpecField
-        # expects, so we create a partial application and pass that instead.
-        # TODO: Should we change the signatures to match? Even if `instance` is not part of the signature, it's accessible through the source file object's instance property.
-        p = lambda file: processors(instance=file.instance,
-                file=file) if callable(processors) else processors
-
-        SpecHost.__init__(self, processors=p, format=format,
+        SpecHost.__init__(self, processors=processors, format=format,
                 options=options, storage=storage, autoconvert=autoconvert,
                 image_cache_backend=image_cache_backend,
                 image_cache_strategy=image_cache_strategy, spec=spec,

imagekit/specs/__init__.py

@@ -92,16 +92,10 @@ class BaseImageSpec(object):
         self.options = options or self.options
         self.autoconvert = self.autoconvert if autoconvert is None else autoconvert
 
-    def get_processors(self, source_file):
-        processors = self.processors
-        if callable(processors):
-            processors = processors(source_file)
-        return processors
-
     def get_hash(self, source_file):
         return md5(''.join([
             source_file.name,
-            pickle.dumps(self.get_processors(source_file)),
+            pickle.dumps(self.processors),
             self.format,
             pickle.dumps(self.options),
             str(self.autoconvert),
@@ -125,7 +119,7 @@ class BaseImageSpec(object):
         original_format = img.format
 
         # Run the processors
-        processors = self.get_processors(source_file)
+        processors = self.processors
         img = ProcessorPipeline(processors or []).process(img)
 
         options = dict(self.options or {})