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• App Intents FFmpeg-iOS operation not permitted

  2 octobre 2023, par apo_p9

  Using latest iOS and Xcode, I have an AppIntent to which Im passing a video file from iOS Shortcuts, Im using an IntentFile parameter to read that in the intent. Then Im using FFmpeg-iOS to generate a single frame from the video.

  


  ...
@Parameter(title: "Media", supportedTypeIdentifiers: ["public.image", "public.video"], inputConnectionBehavior: .connectToPreviousIntentResult)
var media: IntentFile
...
let mediaPath = media.fileURL!.absoluteString;
let posterPath = mediaPath.replacingOccurrences(of: media.filename, with: "poster.jpg")
_ = ffmpeg(["FFmpeg-iOS", "-i", mediaPath, "-frames:v", "1", posterPath])


  


  Here is the output :

  


  ffmpeg(_:) ["FFmpeg-iOS", "-i", "file:///var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/IMG_2751.mov", "-frames:v", "1", "file:///var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/poster.jpg"]
ffmpeg version N-109970-g7dc0944ce2 Copyright (c) 2000-2023 the FFmpeg developers
  built with Apple clang version 14.0.0 (clang-1400.0.29.202)
  configuration: --prefix=/Users/changbeomahn/Projects/FFmpeg-iOS/build/install/FFmpeg/arm64 --enable-cross-compile --disable-debug --disable-doc --enable-pic --disable-audiotoolbox --disable-sdl2 --disable-libxcb --target-os=darwin --arch=arm64 --cc='xcrun -sdk iphoneos clang' --as='gas-preprocessor.pl -arch aarch64 -- xcrun -sdk iphoneos clang' --extra-cflags='-arch arm64 -mios-version-min=13.0 -I/Users/changbeomahn/Projects/FFmpeg-iOS/build/install/FFmpeg/arm64/include' --extra-ldflags='-arch arm64 -mios-version-min=13.0 -L/Users/changbeomahn/Projects/FFmpeg-iOS/build/install/FFmpeg/arm64/lib'
HookMain: setjmp=0
FFmpeg_exit=1, will longjmp
HookMain: setjmp=1
  libavutil      58.  3.100 / 58.  3.100
  libavcodec     60.  6.100 / 60.  6.100
  libavformat    60.  4.100 / 60.  4.100
  libavdevice    60.  2.100 / 60.  2.100
  libavfilter     9.  4.100 /  9.  4.100
  libswscale      7.  2.100 /  7.  2.100
  libswresample   4. 11.100 /  4. 11.100
file:///var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/IMG_2751.mov: Operation not permitted


  


  The issue is in the last line : Operation not permitted

  


  I also tried just writing a file to the same directory as the media file :

  


  let str = "Super long string here"
let filename = media.fileURL!.absoluteString.replacingOccurrences(of: media.filename, with: "asd.txt")

do {
    try str.write(to: URL(string: filename)!, atomically: true, encoding: String.Encoding.utf8)
} catch {
    print(error)
}


  


  But got the error :

  


  Error Domain=NSCocoaErrorDomain Code=513 "You don’t have permission to save the file “asd.txt” in the folder “com.apple.WorkflowKit.BackgroundShortcutRunner”." UserInfo={NSFilePath=/var/mobile/tmp/com.apple.WorkflowKit.BackgroundShortcutRunner/asd.txt, NSUnderlyingError=0x280f09aa0 {Error Domain=NSPOSIXErrorDomain Code=1 "Operation not permitted"}}


  


  Apparently there is a permission issue, I tried googling about "AppIntents file permissions"/"shortcut permissions"/etc but found nothing. Im not a mobile developer so Im totally clueless. The same code though works fine in the simulator, it gets the permission issue only on device.

  


• Ffmpeg HLS conversion error on AWS Lambda - ffmpeg was killed with signal SIGSEGV

  20 octobre 2023, par RtiM0

  I'm trying to convert video files into HLS streams on a AWS Lambda. The ffmpeg configuration I have setup works for normal (Non HLS) transcoding, but in case of HLS it throws the following error :

  


  stderr:
frame=  341 fps= 84 q=34.0 q=32.0 q=28.0 size=N/A time=00:00:12.52 bitrate=N/A speed= 3.1x    
frame=  385 fps= 85 q=34.0 q=31.0 q=27.0 size=N/A time=00:00:13.97 bitrate=N/A speed=3.08x    
frame=  433 fps= 86 q=33.0 q=30.0 q=27.0 size=N/A time=00:00:15.55 bitrate=N/A speed=3.08x    
[hls @ 0x702c480] Cannot use rename on non file protocol, this may lead to races and temporary partial files
[hls @ 0x702c480] Opening '/tmp/stream_0.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/stream_1.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/stream_2.m3u8' for writing
[hls @ 0x702c480] Opening '/tmp/master.m3u8' for writing
ffmpeg was killed with signal SIGSEGV


  


  And I error thrown by fluent-ffmpeg is this :

  


  2023-03-06T10:21:44.555Z    15a0a43b-5e24-42ac-ae72-fe04f0c72a3e    ERROR   Invoke Error    &#xA;{&#xA;    "errorType": "Error",&#xA;    "errorMessage": "ffmpeg was killed with signal SIGSEGV",&#xA;    "stack": [&#xA;        "Error: ffmpeg was killed with signal SIGSEGV",&#xA;        "    at ChildProcess.<anonymous> (/var/task/node_modules/fluent-ffmpeg/lib/processor.js:180:22)",&#xA;        "    at ChildProcess.emit (node:events:513:28)",&#xA;        "    at ChildProcess._handle.onexit (node:internal/child_process:291:12)"&#xA;    ]&#xA;}&#xA;</anonymous>

  


  This is the code I run on AWS Lambda to convert video files into HLS :

  


  export const compressToHLS = (sourcePath, outputFolder) =>
  new Promise((resolve, reject) => {
    Ffmpeg(sourcePath)
      .complexFilter([
        {
          filter: "split",
          options: "3",
          inputs: "v:0",
          outputs: ["v1", "v2", "v3"],
        },
        {
          filter: "scale",
          options: {
            w: 1280,
            h: 720,
          },
          inputs: "v1",
          outputs: "v1out",
        },
        {
          filter: "scale",
          options: {
            w: 960,
            h: 540,
          },
          inputs: "v2",
          outputs: "v2out",
        },
        {
          filter: "scale",
          options: {
            w: 640,
            h: 360,
          },
          inputs: "v3",
          outputs: "v3out",
        },
      ])
      .outputOptions([
        "-map [v1out]",
        "-c:v:0",
        "libx264",
        "-b:v 3000000",
        "-map [v2out]",
        "-c:v:1",
        "libx264",
        "-b:v 2000000",
        "-map [v3out]",
        "-c:v:2",
        "libx264",
        "-b:v 1000000",
      ])
      .outputOptions([
        "-map a:0",
        "-c:a:0 aac",
        "-b:a:0 96000",
        "-ar 48000",
        "-ac 2",
        "-map a:0",
        "-c:a:1 aac",
        "-b:a:1 96000",
        "-ar 48000",
        "-ac 2",
        "-map a:0",
        "-c:a:2 aac",
        "-b:a:2 96000",
        "-ar 48000",
        "-ac 2",
      ])
      .outputOptions([
        "-f hls",
        "-hls_time 10",
        "-hls_playlist_type vod",
        "-hls_flags independent_segments",
        "-hls_segment_type mpegts",
        `-hls_segment_filename ${outputFolder}/%v_%d.ts`,
        "-master_pl_name master.m3u8",
      ])
      .outputOption("-var_stream_map", "v:0,a:0 v:1,a:1 v:2,a:2")
      .outputOption("-preset veryfast")
      .output(`${outputFolder}/stream_%v.m3u8`)
      .on("start", (cmdline) => console.log(cmdline))
      .on("progress", (progress) => {
        let prog = Math.floor(progress.percent * 10) / 10;
        if (Math.round(prog) % 10 == 0) {
          console.log(`${prog}% complete`);
        }
      })
      .on("error", (err, stdout, stderr) => {
        if (err) {
          console.log(err.message);
          console.log("stdout:\n" + stdout);
          console.log("stderr:\n" + stderr);
          reject(err);
        }
      })
      .on("end", () => resolve())
      .run();
  });


  


  In this code the sourcePath is usually a presigned URL from S3 (But I have also tried to download a file on /tmp and setting sourcePath as the path to the downloaded file) and outputFolder is tmpdir() which is /tmp.

  


  I have the lambda settings configured to have 10GB of memory and 10GB of ephemeral storage (the maximum allowed).

  


• ffmpeg is failing to load shared libraries after a ./configure with a prefix inside a conda environment

  30 janvier 2024, par user3133806

  I am using conda and building ffmpeg from source within that environment.

  


  I ran the following commands :

  


  conda create --name my_conda_env
conda activate my_conda_env
# Now I am in the conda environment
# $CONDA_PREFIX is /home/myuser/.conda/envs/my_conda_env/bin/ffmpeg

# Checkout ffmpeg code
# git checkout ...

./configure --prefix=$CONDA_PREFIX --enable-shared --disable-static && make distclean && make -j 100 && make install

# The above command does install the newly built ffmpeg into:
# /home/myuser/.conda/envs/my_conda_env/bin/ffmpeg

# However it fails to execute:
ffmpeg
ffmpeg: error while loading shared libraries: libavdevice.so.58: cannot open shared object file: No such file or directory

# When I add the conda lib path to LD_LIBRARY_PATH it works:
LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH ffmpeg
ffmpeg version n4.2.9-4-gd7beb0c61f Copyright (c) 2000-2023 the FFmpeg developers

# I thought ./configure with a --prefix will build a binary that will search for libraries relative to itself, but that does not appear to be the case:

strace -o /tmp/strace.out ffmpeg
tail /tmp/strace.out

openat(AT_FDCWD, "/usr/lib64/haswell/x86_64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/haswell/x86_64", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/haswell/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/haswell", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/avx512_1/x86_64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/avx512_1/x86_64", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/avx512_1/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/avx512_1", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/x86_64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64/x86_64", 0x7fff65f56d90, 0) = -1 ENOENT (No such file or directory)
openat(AT_FDCWD, "/usr/lib64/libavdevice.so.58", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
newfstatat(AT_FDCWD, "/usr/lib64", {st_mode=S_IFDIR|0555, st_size=49526, ...}, 0) = 0
writev(2, [{iov_base="ffmpeg", iov_len=6}, {iov_base=": ", iov_len=2}, {iov_base="error while loading shared libra"..., iov_len=36}, {i
ov_base=": ", iov_len=2}, {iov_base="libavdevice.so.58", iov_len=17}, {iov_base=": ", iov_len=2}, {iov_base="cannot open shared object file", iov_len=30}, {iov_base=": ", iov_len=2}, {iov_base="No such file or directory", iov_len=25}, {iov_base="\n", iov_len=1}], 10) = 
123


  


  Conda documentation says not to use LD_LIBRARY_PATH here :

  


  https://docs.conda.io/projects/conda-build/en/stable/resources/use-shared-libraries.html#shared-libraries-in-macos-and-linux

  


  How can I build ffmpeg from source in a conda environment and have the binary find the .so file relative to itself ?