OSError: [Errno 22] Invalid argument - Githubissues

jiaaro / pydub

Manipulate audio with a simple and easy high level interface

http://pydub.com

MIT License

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OSError: [Errno 22] Invalid argument #347

Open czhanacek opened 5 years ago

czhanacek commented 5 years ago

Steps to reproduce

I'm just concatenating 12-16 mp3s and trying to export them.

showFile = None
for s in shows[show]:
        sound = AudioSegment.from_mp3("audio/" + s["location"])
        if(showFile == None):
            showFile = sound
        else:
            print("Concatenating " + s["location"])
            showFile += sound

    if(showFile != None):
        print("Exporting...")
        showFile.export("/Users/czhanacek/Documents/Coding/saveTheWave/audio/show-" + s["location"])
        showFile.close()
        print("Exported.")

Expected behavior

The concatenated audio file should be written to the location specified when showFile.export(...) is called.

Actual behavior

I get this traceback

Traceback (most recent call last):
  File "main.py", line 81, in <module>
    showFile.export("/Users/czhanacek/Documents/Coding/saveTheWave/audio/show-" + s["location"] + ".mp3")
  File "/Users/czhanacek/.local/share/virtualenvs/saveTheWave-1L0c9War/lib/python3.5/site-packages/pydub/audio_segment.py", line 801, in export
    wave_data.writeframesraw(self._data)
  File "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/wave.py", line 422, in writeframesraw
    self._file.write(data)
  File "/Users/czhanacek/.local/share/virtualenvs/saveTheWave-1L0c9War/lib/python3.5/tempfile.py", line 483, in func_wrapper
    return func(*args, **kwargs)
OSError: [Errno 22] Invalid argument

Your System configuration

Python version: 3.5
Pydub version: 0.23.0
ffmpeg or avlib?: ffmpeg
ffmpeg/avlib version: 4.0

This is on Mac OS 10.14.1 (Mojave)

Is there an audio file you can include to help us reproduce?

I'm concatenating all the audio files from the same date.

'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-150000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-151500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-153000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-154500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-160000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-161500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-163000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-164500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-170000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-171500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-173000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-174500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-180000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-181500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-183000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-184500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-190000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-191500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-193000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-194500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-200000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-201500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-203000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181206-204500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-150000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-151500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-153000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-154500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-160000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-161500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-163000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-164500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-170000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-171500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-173000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-174500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-180000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-181500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-183000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-184500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-190000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-191500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-193000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-194500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-200000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-201500.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-203000.mp3', 'https://rfa-rackspace-archive-prod.s3.amazonaws.com/knhc_20181129-204500.mp3'

eykd commented 4 years ago

Based on this other issue with a similar traceback in pytorch, I found this unresolved issue in python involving seeking in files with offsets larger than 2^63. Could this be the underlying problem? I think this error is also related to #135.