169 lines
5.4 KiB
Python
169 lines
5.4 KiB
Python
# This file is part of the Minecraft Overviewer.
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#
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# Minecraft Overviewer is free software: you can redistribute it and/or
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# modify it under the terms of the GNU General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or (at
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# your option) any later version.
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#
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# Minecraft Overviewer is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
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# Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with the Overviewer. If not, see <http://www.gnu.org/licenses/>.
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import os
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import subprocess
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import shlex
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import logging
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class Optimizer:
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binaryname = ""
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def __init__(self):
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raise NotImplementedError("I can't let you do that, Dave.")
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def optimize(self, img):
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raise NotImplementedError("I can't let you do that, Dave.")
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def fire_and_forget(self, args):
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subprocess.check_call(args)
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def check_availability(self):
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path = os.environ.get("PATH").split(os.pathsep)
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def exists_in_path(prog):
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result = filter(lambda x: os.path.exists(os.path.join(x, prog)), path)
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return len(result) != 0
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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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def cleanup(self, img):
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os.remove(img)
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os.rename(img + ".tmp", img)
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def fire_and_forget(self, args, img):
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subprocess.check_call(args)
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self.cleanup(img)
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class PNGOptimizer:
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def __init__(self):
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raise NotImplementedError("I can't let you do that, Dave.")
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class JPEGOptimizer:
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def __init__(self):
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raise NotImplementedError("I can't let you do that, Dave.")
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class pngnq(NonAtomicOptimizer, PNGOptimizer):
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binaryname = "pngnq"
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def __init__(self, sampling=3, dither="n"):
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if sampling < 1 or sampling > 10:
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raise Exception("Invalid sampling value '%d' for pngnq!" % sampling)
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if dither not in ["n", "f"]:
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raise Exception("Invalid dither method '%s' for pngnq!" % dither)
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self.sampling = sampling
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self.dither = dither
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def optimize(self, img):
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if img.endswith(".tmp"):
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extension = ".tmp"
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else:
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extension = ".png.tmp"
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args = [self.binaryname, "-s", str(self.sampling), "-f", "-e", extension, img]
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# Workaround for poopbuntu 12.04 which ships an old broken pngnq
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if self.dither != "n":
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args.insert(1, "-Q")
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args.insert(2, self.dither)
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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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# the pngcrush options, it sucks anyway
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def __init__(self, brute=False):
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self.brute = brute
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def optimize(self, img):
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args = [self.binaryname, img, img + ".tmp"]
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if self.brute == True: # Was the user an idiot?
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args.insert(1, "-brute")
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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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def __init__(self, olevel=2):
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self.olevel = olevel
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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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class jpegoptim(Optimizer, JPEGOptimizer):
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binaryname = "jpegoptim"
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crusher = True
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quality = None
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target_size = None
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def __init__(self, quality = None, target_size = None):
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if quality is not None:
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if quality < 0 or quality > 100:
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raise Exception("Invalid target quality %d for jpegoptim" % quality)
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self.quality = quality
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if target_size is not None:
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self.target_size = target_size
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def optimize(self, img):
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args = [self.binaryname, "-q", "-p"]
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if self.quality is not None:
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args.append("-m" + str(self.quality))
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if self.target_size is not None:
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args.append("-S" + str(self.target_size))
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args.append(img)
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Optimizer.fire_and_forget(self, args)
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def is_crusher(self):
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# Technically, optimisation is lossless if input image quality
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# is below target quality, but this is irrelevant in this case
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if (self.quality is not None) or (self.target_size is not None):
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return False
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else:
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return True
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def optimize_image(imgpath, imgformat, optimizers):
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for opt in optimizers:
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if imgformat == 'png':
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if isinstance(opt, PNGOptimizer):
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opt.optimize(imgpath)
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elif imgformat == 'jpg':
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if isinstance(opt, JPEGOptimizer):
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opt.optimize(imgpath)
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