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• Evolution #3560 (Fermé) : Supprimer l’option expérimentale Google Closure Compiler

  4 mai 2017

  Fait en 3.2 par https://zone.spip.org/trac/spip-zone/changeset/104154

• Executing shell script on Google Cloud Functions

  9 juillet 2020, par João Abrantes

  I am trying to encode .mp4 videos into hls using FFmpeg.

  


  I am using subprocess to call FFmpeg :

  


  def transcoder(data, context):
    """Background Cloud Function to be triggered by Cloud Storage.
       This generic function logs relevant data when a file is changed.

    Args:
        data (dict): The Cloud Functions event payload.
        context (google.cloud.functions.Context): Metadata of triggering event.
    Returns:
        None; the output is written to Stackdriver Logging
    """
    try:
        input_filename = data['name'].split('/')[-1] #videos have no extension
        input_path = f'/tmp/{input_filename}'
        print(f'filename {input_filename}')
        print(f'input_path {input_path}')
        print(f"bucket {data['bucket']}")
        print(f"name {data['name']}")

        outdir_path = f'/tmp/output/{input_filename}'
        os.makedirs(outdir_path, exist_ok=True)

        bucket = client.get_bucket(data['bucket'])
        blob = bucket.get_blob(data['name'])
        blob.download_to_filename(input_path)

        cmd = f'''ffmpeg -y -i {input_path} \
              -preset ultrafast -g 60 -sc_threshold 0 \
              -map 0:0 -map 0:1 -map 0:0 -map 0:1 \
              -s:v:0 360x640 -c:v:0 libx264 -b:v:0 365k \
              -s:v:1 720x1280 -c:v:1 libx264 -b:v:1 3000k \
              -c:a copy \
              -var_stream_map "v:0,a:0 v:1,a:1" \
              -master_pl_name master.m3u8 \
              -f hls -hls_time 6 -hls_list_size 0 \
              -hls_segment_filename "{outdir_path}/%v_fileSequence%d.ts" \
              -hls_playlist_type vod \
               {outdir_path}/%v_prog_index.m3u8'''

        process = subprocess.Popen(cmd)
        stdout, stderr = process.communicate()
        upload_local_directory_to_gcs(outdir_path, upload_bucket, input_filename)
    except Exception as e:
        print(e)


  


  The problem is that I get an error :

  


  [Errno 2] No such file or directory: 'ffmpeg -y -i /tmp/video -preset ultrafast -g 60 -sc_threshold 0 -map 0:0 -map 0:1 -map 0:0 -map 0:1 -s:v:0 360x640 -c:v:0 libx264 -b:v:0 365k -s:v:1 720x1280 -c:v:1 libx264 -b:v:1 3000k -c:a copy -var_stream_map "v:0,a:0 v:1,a:1" -master_pl_name master.m3u8 -f hls -hls_time 6 -hls_list_size 0 -hls_segment_filename "/tmp/output/video/%v_fileSequence%d.ts" -hls_playlist_type vod /tmp/output/video/%v_prog_index.m3u8': 'ffmpeg -y -i /tmp/video -preset ultrafast -g 60 -sc_threshold 0 -map 0:0 -map 0:1 -map 0:0 -map 0:1 -s:v:0 360x640 -c:v:0 libx264 -b:v:0 365k -s:v:1 720x1280 -c:v:1 libx264 -b:v:1 3000k -c:a copy -var_stream_map "v:0,a:0 v:1,a:1" -master_pl_name master.m3u8 -f hls -hls_time 6 -hls_list_size 0 -hls_segment_filename "/tmp/output/video/%v_fileSequence%d.ts" -hls_playlist_type vod /tmp/output/video/%v_prog_index.m3u8'


  


  But I know that the input files and the output files do exist because I debugged that using print(os.listdir(path)) so now I am wondering if the FFmpeg I call with subprocess has access to the /tmp folder..?

  


  I know that there is a Python FFmpeg library I could use, but I don't know how to run my FFmpeg command using that library. Can you help ?

  


  p.s. I can run this locally with success.

  


• Berlin website owners need consent for using Google Analytics

  19 novembre 2019, par Joselyn Khor — Uncategorized

  Website owners in Berlin need consent for using Google Analytics

  According to the Berlin Data Protection Office, if you’re a website owner collecting and sending data to third-party services (like Google Analytics) who are also using that data “for own purpose uses” in Berlin, you are now required to ask for specific consent from visitors in order to collect that information. 

  This means you can only use Google Analytics or similar services once you’ve gotten consent from visitors. In contrast, Matomo does not use information from Cloud or On-Premise users for “own purpose uses”.

  Consent is also needed when keystrokes or mouse movements are recorded. That means you need users to consent to your usage of features like Heatmaps and Session Recordings.

  It’s advised that website owners in Berlin should check their websites for third-party content and tracking mechanisms. If you do use these third-party functions that require consent, you must either get consent or remove the functions. Consent is only effective if the visitor (whose data you’re collecting) is informed and agrees to their data being processed.

  Currently this applies to website owners in Berlin, and should likely be applied for the whole of Germany to be on the safe side.

  Further reading :

  • Learn more about Matomo’s Cloud Data Processing Agreement
  • Read about asking for consent in Matomo
  • To use Matomo Analytics and be compliant with the regulation we recommend you learn how to make Matomo GDPR compliant in 12 steps.

  And learn more about all the features in our GDPR user guide and privacy user guide. You can also learn more about GDPR through our blog posts.