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Websites made with MediaSPIP
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Creating farms of unique websites
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ffmpeg - spark - azure databricks - error writing trailer of "filename.mp3" : Operation not supported
4 juillet 2021, par CRAFTY DBAI have been trying to figure out this tough problem.


I am trying to convert *.mp4 files to *.mp3 files.


I tried using MoviePy but I found out that is uses ffmpeg and was having the same issue.


I used these two articles to get the latest version of ffmpeg installed on the Azure Databricks Cluster during startup. I am using a single node cluster for this POC code.


Pyspark : Use ffmpeg on the driver and workers

https://ubuntuhandbook.org/index.php/2020/06/install-ffmpeg-4-3-via-ppa-ubuntu-18-04-16-04

The issue is that even the simplest command results in errors.


%%bash ffmpeg -i /dbfs/Craftydba/recording.mp4 /dbfs/Craftydba/recording.mp3

I even tried .wav as an output format and still the same issue.


I retested this command on a Data Science VM in Azure with Python and FFMPEG. It works fine on that OS/Build.


It has something to do with the version of the code on the spark cluster.


Any help is appreciated.


Sincerely


John Miner


PS : I am add a dump of the OS version as well as a ffmpeg error.


Os Version Dump


NAME="Ubuntu"
VERSION="18.04.5 LTS (Bionic Beaver)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 18.04.5 LTS"
VERSION_ID="18.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=bionic
UBUNTU_CODENAME=bionic


FFMPEG Dump


ffmpeg version 4.3.2-0york0~18.04 Copyright (c) 2000-2021 the FFmpeg developers
 built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)
 configuration: --prefix=/usr --extra-version='0york0~18.04' --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libzimg --enable-pocketsphinx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
 libavutil 56. 51.100 / 56. 51.100
 libavcodec 58. 91.100 / 58. 91.100
 libavformat 58. 45.100 / 58. 45.100
 libavdevice 58. 10.100 / 58. 10.100
 libavfilter 7. 85.100 / 7. 85.100
 libavresample 4. 0. 0 / 4. 0. 0
 libswscale 5. 7.100 / 5. 7.100
 libswresample 3. 7.100 / 3. 7.100
 libpostproc 55. 7.100 / 55. 7.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/dbfs/Craftydba/recording.mp4':
 Metadata:
 major_brand : isom
 minor_version : 512
 compatible_brands: isomiso2
 creation_time : 2021-06-18T19:07:17.000000Z
 Duration: 00:04:48.64, start: 0.000000, bitrate: 1065 kb/s
 Stream #0:0(eng): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 1920x1080, 1000 kb/s, 7.96 fps, 8 tbr, 10k tbn, 20k tbc (default)
 Metadata:
 creation_time : 2021-06-18T19:07:17.000000Z
 Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 16000 Hz, mono, fltp, 63 kb/s (default)
 Metadata:
 creation_time : 2021-06-18T19:07:17.000000Z
Stream mapping:
 Stream #0:1 -> #0:0 (aac (native) -> mp3 (libmp3lame))
Press [q] to stop, [?] for help
Output #0, mp3, to '/dbfs/Craftydba/recording.mp3':
 Metadata:
 major_brand : isom
 minor_version : 512
 compatible_brands: isomiso2
 TSSE : Lavf58.45.100
 Stream #0:0(eng): Audio: mp3 (libmp3lame), 16000 Hz, mono, fltp (default)
 Metadata:
 creation_time : 2021-06-18T19:07:17.000000Z
 encoder : Lavc58.91.100 libmp3lame
Error writing trailer of /dbfs/Craftydba/recording.mp3: Operation not supported
size= 846kB time=00:04:48.65 bitrate= 24.0kbits/s speed=86.9x 
video:0kB audio:846kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.036945%


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ffmpeg concatenation with -filter_complex
16 octobre 2018, par IgniterI’ve seen several similar questions but none of them actually helped in my case.
Getting this error while trying to join 1 audio and 4 video files of different nature and resolutions.ffmpeg -i 0.mp3 -i 1.mp4 -i 2.mkv -i 3.mkv -i 4.webm \
-filter_complex [0:a:0][1:v:0][2:v:0][3:v:0][4:v:0]concat=n=5:v=1:a=1[outv][outa] \
-map "[outv]" -map "[outa]" output.mp4All this gives the following error :
Stream specifier ':a:0' in filtergraph description [0:a:0][1:v:0][2:v:0][3:v:0][4:v:0]concat=n=5:v=1:a=1[outv][outa] matches no streams.Straight concatenation
-i "concat:0.mp3|1.mp4..."also doesn’t work as expected due to different resolutions and video formats. All methods syntax was taken from official documentation but there should be something that I’ve missed here.Full output log :
ffmpeg version 3.4.4-0ubuntu0.18.04.1 Copyright (c) 2000-2018 the FFmpeg developers
built with gcc 7 (Ubuntu 7.3.0-16ubuntu3)
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
libavutil 55. 78.100 / 55. 78.100
libavcodec 57.107.100 / 57.107.100
libavformat 57. 83.100 / 57. 83.100
libavdevice 57. 10.100 / 57. 10.100
libavfilter 6.107.100 / 6.107.100
libavresample 3. 7. 0 / 3. 7. 0
libswscale 4. 8.100 / 4. 8.100
libswresample 2. 9.100 / 2. 9.100
libpostproc 54. 7.100 / 54. 7.100
Input #0, mp3, from 'mp3/10.mp3':
Metadata:
album_artist : artist
title : title
artist : 10
album : 12
track : 1
VideoKind : 2
date : 2009
Duration: 00:06:00.44, start: 0.025056, bitrate: 64 kb/s
Stream #0:0: Audio: mp3, 44100 Hz, stereo, s16p, 64 kb/s
Metadata:
encoder : LAME3.98r
Stream #0:1: Video: mjpeg, yuvj420p(pc, bt470bg/unknown/unknown), 200x200 [SAR 72:72 DAR 1:1], 90k tbr, 90k tbn, 90k tbc
Metadata:
comment : Cover (front)
Input #1, matroska,webm, from '1.mp4':
Metadata:
MINOR_VERSION : 0
COMPATIBLE_BRANDS: iso6avc1mp41
MAJOR_BRAND : dash
ENCODER : Lavf57.83.100
Duration: 00:01:53.05, start: 0.007000, bitrate: 2292 kb/s
Stream #1:0: Video: h264 (High), yuv420p(tv, bt709, progressive), 1920x1080 [SAR 1:1 DAR 16:9], 24 fps, 24 tbr, 1k tbn, 48 tbc (default)
Metadata:
HANDLER_NAME : VideoHandler
DURATION : 00:01:53.048000000
Input #2, matroska,webm, from '2.mkv':
Metadata:
MINOR_VERSION : 0
COMPATIBLE_BRANDS: iso6avc1mp41
MAJOR_BRAND : dash
ENCODER : Lavf57.83.100
Duration: 00:02:08.09, start: 0.007000, bitrate: 1607 kb/s
Stream #2:0: Video: h264 (High), yuv420p(tv, bt709, progressive), 1920x1080 [SAR 1:1 DAR 16:9], 24 fps, 24 tbr, 1k tbn, 48 tbc (default)
Metadata:
HANDLER_NAME : VideoHandler
DURATION : 00:02:08.090000000
Input #3, matroska,webm, from '3.mkv':
Metadata:
MINOR_VERSION : 0
COMPATIBLE_BRANDS: iso6avc1mp41
MAJOR_BRAND : dash
ENCODER : Lavf57.83.100
Duration: 00:01:37.05, start: 0.007000, bitrate: 3525 kb/s
Stream #3:0: Video: h264 (High), yuv420p(tv, bt709, progressive), 1920x1080 [SAR 1:1 DAR 16:9], 24 fps, 24 tbr, 1k tbn, 48 tbc (default)
Metadata:
HANDLER_NAME : VideoHandler
DURATION : 00:01:37.048000000
Input #4, matroska,webm, from '4.webm':
Metadata:
MINOR_VERSION : 0
COMPATIBLE_BRANDS: iso6avc1mp41
MAJOR_BRAND : dash
ENCODER : Lavf57.83.100
Duration: 00:01:45.13, start: 0.007000, bitrate: 3685 kb/s
Stream #4:0: Video: h264 (High), yuv420p(tv, bt709, progressive), 1920x1080 [SAR 1:1 DAR 16:9], 24 fps, 24 tbr, 1k tbn, 48 tbc (default)
Metadata:
HANDLER_NAME : VideoHandler
DURATION : 00:01:45.131000000
Stream specifier ':a:0' in filtergraph description [0:a:0][1:v:0][2:v:0][3:v:0][4:v:0]concat=n=5:v=1:a=1[outv][outa] matches no streams. -
Problems with Python's azure.cognitiveservices.speech when installing together with FFmpeg in a Linux web app
15 mai 2024, par Kakobo kakoboI need some help.
I'm building an web app that takes any audio format, converts into a .wav file and then passes it to 'azure.cognitiveservices.speech' for transcription.I'm building the web app via a container Dockerfile as I need to install ffmpeg to be able to convert non ".wav" audio files to ".wav" (as azure speech services only process wav files). For some odd reason, the 'speechsdk' class of 'azure.cognitiveservices.speech' fails to work when I install ffmpeg in the web app. The class works perfectly fine when I install it without ffpmeg or when i build and run the container in my machine.


I have placed debug print statements in the code. I can see the class initiating, for some reason it does not buffer in the same when when running it locally in my machine. The routine simply stops without any reason.


Has anybody experienced a similar issue with azure.cognitiveservices.speech conflicting with ffmpeg ?


Here's my Dockerfile :


# Use an official Python runtime as a parent imageFROM python:3.11-slim

#Version RunRUN echo "Version Run 1..."

Install ffmpeg

RUN apt-get update && apt-get install -y ffmpeg && # Ensure ffmpeg is executablechmod a+rx /usr/bin/ffmpeg && # Clean up the apt cache by removing /var/lib/apt/lists saves spaceapt-get clean && rm -rf /var/lib/apt/lists/*

//Set the working directory in the container

WORKDIR /app

//Copy the current directory contents into the container at /app

COPY . /app

//Install any needed packages specified in requirements.txt

RUN pip install --no-cache-dir -r requirements.txt

//Make port 80 available to the world outside this container

EXPOSE 8000

//Define environment variable

ENV NAME World

//Run main.py when the container launches

CMD ["streamlit", "run", "main.py", "--server.port", "8000", "--server.address", "0.0.0.0"]`and here's my python code:


def transcribe_audio_continuous_old(temp_dir, audio_file, language):
 speech_key = azure_speech_key
 service_region = azure_speech_region

 time.sleep(5)
 print(f"DEBUG TIME BEFORE speechconfig")

 ran = generate_random_string(length=5)
 temp_file = f"transcript_key_{ran}.txt"
 output_text_file = os.path.join(temp_dir, temp_file)
 speech_recognition_language = set_language_to_speech_code(language)
 
 speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
 speech_config.speech_recognition_language = speech_recognition_language
 audio_input = speechsdk.AudioConfig(filename=os.path.join(temp_dir, audio_file))
 
 speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_input, language=speech_recognition_language)
 done = False
 transcript_contents = ""

 time.sleep(5)
 print(f"DEBUG TIME AFTER speechconfig")
 print(f"DEBUG FIle about to be passed {audio_file}")

 try:
 with open(output_text_file, "w", encoding=encoding) as file:
 def recognized_callback(evt):
 print("Start continuous recognition callback.")
 print(f"Recognized: {evt.result.text}")
 file.write(evt.result.text + "\n")
 nonlocal transcript_contents
 transcript_contents += evt.result.text + "\n"

 def stop_cb(evt):
 print("Stopping continuous recognition callback.")
 print(f"Event type: {evt}")
 speech_recognizer.stop_continuous_recognition()
 nonlocal done
 done = True
 
 def canceled_cb(evt):
 print(f"Recognition canceled: {evt.reason}")
 if evt.reason == speechsdk.CancellationReason.Error:
 print(f"Cancellation error: {evt.error_details}")
 nonlocal done
 done = True

 speech_recognizer.recognized.connect(recognized_callback)
 speech_recognizer.session_stopped.connect(stop_cb)
 speech_recognizer.canceled.connect(canceled_cb)

 speech_recognizer.start_continuous_recognition()
 while not done:
 time.sleep(1)
 print("DEBUG LOOPING TRANSCRIPT")

 except Exception as e:
 print(f"An error occurred: {e}")

 print("DEBUG DONE TRANSCRIPT")

 return temp_file, transcript_contents


The transcript this callback works fine locally, or when installed without ffmpeg in the linux web app. Not sure why it conflicts with ffmpeg when installed via container dockerfile. The code section that fails can me found on note #NOTE DEBUG"


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