Merge pull request #1098 from CounterPillow/optimizehints
Clarify optimizeimg docs; Warn if the order of optimizers does not make sense.
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@@ -557,7 +557,9 @@ values. The valid configuration keys are listed below.
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The option is a list of Optimizer objects, which are then executed in
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the order in which they're specified::
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# Import the optimizers we need
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from optimizeimages import pngnq, optipng
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worlds["world"] = "/path/to/world"
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renders["daytime"] = {
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@@ -566,6 +568,10 @@ values. The valid configuration keys are listed below.
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"rendermode":smooth_lighting,
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"optimizeimg":[pngnq(sampling=1), optipng(olevel=3)],
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}
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.. note::
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Don't forget to import the optimizers you use in your config file, as shown in the
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example above.
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Here is a list of supported image optimization programs:
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@@ -612,8 +618,9 @@ values. The valid configuration keys are listed below.
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**Default:** ``2``
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``pngcrush``
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pngcrush is very slow and not very good, you should use optipng in probably all cases.
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However, Overviewer still allows you to use it because we're nice people like that.
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pngcrush, like optipng, is a lossless PNG recompressor. If you are able to do so, it
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is recommended to use optipng instead, as it generally yields better results in less
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time.
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Available settings:
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``brute``
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@@ -626,10 +633,6 @@ values. The valid configuration keys are listed below.
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**Default:** ``False``
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.. note::
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Don't forget to import the optimizers you use in your settings file, as shown in the
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example above.
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**Default:** ``[]``
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``bgcolor``
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@@ -39,6 +39,10 @@ class Optimizer:
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if (not exists_in_path(self.binaryname)) and (not exists_in_path(self.binaryname + ".exe")):
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raise Exception("Optimization program '%s' was not found!" % self.binaryname)
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def is_crusher(self):
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"""Should return True if the optimization is lossless, i.e. none of the actual image data will be changed."""
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raise NotImplementedError("I'm so abstract I can't even say whether I'm a crusher.")
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class NonAtomicOptimizer(Optimizer):
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@@ -84,6 +88,9 @@ class pngnq(NonAtomicOptimizer, PNGOptimizer):
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NonAtomicOptimizer.fire_and_forget(self, args, img)
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def is_crusher(self):
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return False
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class pngcrush(NonAtomicOptimizer, PNGOptimizer):
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binaryname = "pngcrush"
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# really can't be bothered to add some interface for all
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@@ -98,6 +105,9 @@ class pngcrush(NonAtomicOptimizer, PNGOptimizer):
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NonAtomicOptimizer.fire_and_forget(self, args, img)
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def is_crusher(self):
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return True
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class optipng(Optimizer, PNGOptimizer):
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binaryname = "optipng"
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@@ -106,6 +116,9 @@ class optipng(Optimizer, PNGOptimizer):
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def optimize(self, img):
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Optimizer.fire_and_forget(self, [self.binaryname, "-o" + str(self.olevel), "-quiet", img])
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def is_crusher(self):
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return True
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def optimize_image(imgpath, imgformat, optimizers):
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@@ -160,15 +160,25 @@ def validateBGColor(color):
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def validateOptImg(optimizers):
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if isinstance(optimizers, (int, long)):
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from optimizeimages import pngcrush
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logging.warning("You're using a deprecated definition of optimizeimg. We'll do what you say for now, but please fix this as soon as possible.")
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logging.warning("You're using a deprecated definition of optimizeimg. "\
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"We'll do what you say for now, but please fix this as soon as possible.")
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optimizers = [pngcrush()]
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if not isinstance(optimizers, list):
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raise ValidationException("optimizeimg is not a list. Make sure you specify them like [foo()], with square brackets.")
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for opt in optimizers:
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if not isinstance(opt, Optimizer):
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raise ValidationException("Invalid Optimizer!")
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raise ValidationException("What you passed to optimizeimg is not a list. "\
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"Make sure you specify them like [foo()], with square brackets.")
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opt.check_availability()
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if optimizers:
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for opt, next_opt in zip(optimizers, optimizers[1:]) + [(optimizers[-1], None)]:
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if not isinstance(opt, Optimizer):
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raise ValidationException("Invalid Optimizer!")
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opt.check_availability()
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# Check whether the chaining is somewhat sane
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if next_opt:
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if opt.is_crusher() and not next_opt.is_crusher():
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logging.warning("You're feeding a crushed output into an optimizer that does not crush. "\
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"This is most likely pointless, and wastes time.")
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return optimizers
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