Question

我一直在尝试将Google Bucket中存在的.mp3文件加载到Pydub中。这是我的代码

f = io.BytesIO()
storage_client = storage.Client()
bucket_name="my-bucket"
bucket = storage_client.get_bucket(bucket_name) 
blob = bucket.blob(file_path)
blob.download_to_file(f)

currentAudio=AudioSegment.from_mp3(f)

这是文件的路径 https://storage.cloud.google.com/written-audio-files/10530c70-52af-4ed7-a2ad-146738141b41.mp3

因此，该文件存在并且也可以正确下载。当最后一行

currentAudio=AudioSegment.from_mp3(f)

被执行，出现FFMPEG错误。

pydub.exceptions.CouldntDecodeError: Decoding failed. ffmpeg returned error code: 1

Output from ffmpeg/avlib:

b'ffmpeg version 3.4.6-0ubuntu0.18.04.1 Copyright (c) 2000-2019 the FFmpeg developers\n  built with gcc 7 (Ubuntu 7.3.0-16ubuntu3)\n  configuration: --prefix=/usr --extra-version=0ubuntu0.18.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-librsvg --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared\n  libavutil      55. 78.100 / 55. 78.100\n  libavcodec     57.107.100 / 57.107.100\n  libavformat    57. 83.100 / 57. 83.100\n  libavdevice    57. 10.100 / 57. 10.100\n  libavfilter     6.107.100 /  6.107.100\n  libavresample   3.  7.  0 /  3.  7.  0\n  libswscale      4.  8.100 /  4.  8.100\n  libswresample   2.  9.100 /  2.  9.100\n  libpostproc    54.  7.100 / 54.  7.100\n[mp3 @ 0x556a1d4c7820] Failed to read frame size: Could not seek to 1026.\npipe:: Invalid argument\n'

在我看来，当将BytesIO对象赋予函数from_mp3时，它期望使用物理文件而不是内存中的BytesIO对象。

我正在Google Cloud函数上执行此操作，可能没有任何本地存储。另外，保存文件然后从/ tmp重新加载文件将很耗时

保存到本地文件系统并重新打开文件可以在我当前正在测试程序的本地计算机上按预期工作。我们如何规避这个问题？

**更新** 将下载的文件传递到ffmpeg会产生以下输出

ffmpeg -i 10530c70-52af-4ed7-a2ad-146738141b41.mp3 -hide_banner
[mp3 @ 0x561b77222760] Estimating duration from bitrate, this may be inaccurate
Input #0, mp3, from '10530c70-52af-4ed7-a2ad-146738141b41.mp3':
  Duration: 00:00:02.09, start: 0.000000, bitrate: 32 kb/s
    Stream #0:0: Audio: mp3, 24000 Hz, mono, s16p, 32 kb/s
At least one output file must be specified

Answer 1

我认为您的MP3文件有问题，我无法播放，并且FFMPEG对文件类型感到困惑：

$ ffmpeg -i 10530c70-52af-4ed7-a2ad-146738141b41.mp3 -hide_banner
[mp3 @ 0x7fa661000000] Format mp3 detected only with low score of 1, misdetection possible!
[mp3 @ 0x7fa661000000] Failed to read frame size: Could not seek to 58401.
10530c70-52af-4ed7-a2ad-146738141b41.mp3: Invalid argument

Answer 2

将文件保存到tmp目录中，然后提供AudioSegment（）的路径。

tmpdir=tempfile.gettempdir() # prints the current temporary directory
tempFilePath=tmpdir+"/"+file_path
storage_client = storage.Client()
bucket_name="my-bucket"
bucket = storage_client.get_bucket(bucket_name)         
blob = bucket.blob(file_path)   
blob.download_to_filename(tempFilePath)     
currentAudio=AudioSegment.from_file(tempFilePath, format="mp3")

将文件从Google Bucket加载到PyDub AudioSegment中

2 个答案: