WIP print dynamically normalized songs
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@ -26,6 +26,8 @@ import time
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from random import randint
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from itertools import repeat
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"""
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"""
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@ -119,7 +121,7 @@ def loudness_info(inputfile) -> dict[str, str]:
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return loudness
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def convert(inputfile, outputfile, loudness):
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def convert(inputfile, outputfile, loudness, nonlinear):
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print("Working on ", os.path.basename(inputfile))
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# coverpath = os.path.join(os.path.dirname(inputfile), "cover.jpg")
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# NOTE including covers into ogg/opus containers currently doesn't work
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@ -131,9 +133,11 @@ def convert(inputfile, outputfile, loudness):
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"-filter:a"
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" "
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"loudnorm=I=-30.0:"
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"LRA=5.0:"
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"measured_I={input_i}:"
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"measured_LRA={input_lra}:"
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"measured_tp={input_tp}:measured_thresh={input_thresh}"
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"measured_tp={input_tp}:measured_thresh={input_thresh}:"
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"print_format=json"
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" "
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"-c:a libopus"
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" "
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@ -148,13 +152,28 @@ def convert(inputfile, outputfile, loudness):
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ff = ffmpy.FFmpeg(
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inputs=inputcmd,
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outputs=outputcmd,
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global_options=("-y", "-v error"),
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# global_options=("-y", "-v error"),
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global_options=("-y"),
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)
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# print(ff.cmd)
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ff.run()
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# ff.run()
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proc = subprocess.Popen(
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ff.cmd, shell=True, stderr=subprocess.STDOUT, stdout=subprocess.PIPE
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)
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# NOTE get loudness info from subprocess
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# rstrip: remove trailing newline
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# decode: convert from binary string to utf8
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# splitlines: list of lines (only 12 last ones, length of the output json)
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# join: reassembles the list of lines and separates with "\n"
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loudness_json: str = "\n".join(
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proc.stdout.read().rstrip().decode("utf8").splitlines()[-12:]
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)
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# decode json to dict
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loudness_new: dict[str, str] = json.loads(loudness_json)
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if loudness_new["normalization_type"] != "linear":
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nonlinear.append([inputfile, loudness_new])
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def main(inputfile: str):
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def main(inputfile: str, nonlinear: list):
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"""
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Main program loop
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@ -186,7 +205,15 @@ def main(inputfile: str):
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# remove_picture(inputfile=inputfile)
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loudness = loudness_info(inputfile=inputfile)
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convert(inputfile=inputfile, outputfile=outputfile, loudness=loudness)
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convert(
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inputfile=inputfile,
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outputfile=outputfile,
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loudness=loudness,
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nonlinear=nonlinear,
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)
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# FIXME the dictionary works here
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print(nonlinear)
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if __name__ == "__main__":
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@ -230,6 +257,9 @@ if __name__ == "__main__":
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# file where last run timestamp is stored
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timefile = os.path.join(srcfolder, "run.time")
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# list of non-linear normalizations
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nonlinear: list[str] = []
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# get time of previous run
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if reset:
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timeprev = 0
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@ -255,8 +285,12 @@ if __name__ == "__main__":
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# print(musicfiles)
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with Pool(cpu) as p:
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p.map(main, musicfiles)
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p.starmap(main, zip(musicfiles, repeat(nonlinear)))
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# write this run's time into file
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with open(timefile, "w") as file:
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file.write(str(starttime))
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# FIXME empty dictionary here
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print("Dynamically normalized music:")
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print(nonlinear)
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