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• Enabling libmp3lame for FFMPEG on elastic beanstalk

  13 octobre 2017, par Adam Sith

  I am trying to enable libmp3lame with FFMPEG in elastic beanstalk (Amazon Redhat Linux machine).

  I am able to successfully install FFMPEG in /ffmpeg.config with the following script :

  # .ebextensions/ffmpeg.config
  
  
  
  packages:
  
    yum:
  
      autoconf: []
  
      automake: []
  
      cmake: []
  
      freetype-devel: []
  
      gcc: []
  
      gcc-c++: []
  
      git: []
  
      libtool: []
  
      make: []
  
      nasm: []
  
      pkgconfig: []
  
      zlib-devel: []
  
  sources:
  
    /usr/local/src: http://ffmpeg.org/releases/ffmpeg-3.2.tar.bz2
  
  commands:
  
    ffmpeg_install:
  
        cwd: /usr/local/src/ffmpeg-3.2
  
        command: sudo ./configure --prefix=/usr && make && make install

  I need to install libmp3lame however. I’ve tried to do this with an --enable-libmp3lame flag and the directions here. The modified script :

  packages:
  
  yum:
  
      autoconf: []
  
      automake: []
  
      cmake: []
  
      freetype-devel: []
  
      gcc: []
  
      gcc-c++: []
  
      git: []
  
      libtool: []
  
      make: []
  
      nasm: []
  
      pkgconfig: []
  
      zlib-devel: []
  
  sources:
  
    /usr/local/src: http://ffmpeg.org/releases/ffmpeg-3.2.tar.bz2
  
  commands:
  
    01-install_libmp3lame:
  
        cwd: /usr/local/src/
  
        command: curl -L -O http://downloads.sourceforge.net/project/lame/lame/3.99/lame-3.99.5.tar.gz && tar xzvf lame-3.99.5.tar.gz && cd lame-3.99.5 && ./configure --prefix="$HOME/ffmpeg_build" --bindir="$HOME/bin" --disable-shared --enable-nasm && make && make install
  
    02-ffmpeg_install:
  
        cwd: /usr/local/src/ffmpeg-3.2
  
        command: sudo ./configure --enable-libmp3lame && --prefix=/usr && make && make install

  This doesn’t work. Command 01-install_libmp3lame completes. Command 02-ffmpeg_install fails because :

  [2017-10-12T20:55:19.324Z] INFO  [24606] - [Application update app-8fe3-123456_7895@111/AppDeployStage0/EbExtensionPreBuild/Infra-EmbeddedPreBuild/prebuild_3_clover_platform/Command 02-ffmpeg_install] : Activity execution failed, because: ERROR: libmp3lame >= 3.98.3 not found

  I have tried installing libmp3lame in /ffmpeg-3.2 and got the same issue.

• PHP : Convert file with FFMPEG and upload to S3 using shell_exec() and aws cli tools

  18 septembre 2017, par andreaem

  I need a script that handle the upload of a video file from dropzone.js, convert to m4v then generate 5 thumbnails using the name of file appending -(number) to each jpg file (eg : file-1.jpg, file-2.jpg, file-3.jpgetc) and finally upload to s3 using shell_script (or maybe if there is a better way to do this).

  Recap

  1. Upload file in a temp dir
  2. Convert file to .m4v
  3. Generate 5 thumbnails from video
  4. Upload the converted video to Amazon S3
  5. Delete local video file

  Here is my code, at the moment I don’t know where the file goes and nothing seems to be uploaded to Amazon S3 (doing the upload in command-line works, so the credentials are ok).

  Dropzone.js

  $("#dZUpload").dropzone({
  
       url: "/ajax/admin/admin.acceptVideo.php",
  
       maxFilesize: 200,
  
       renameFile: new Date,
  
       acceptedFiles: "video/*",
  
       addRemoveLinks: true,
  
       success: function (file, response) {
  
            var imgName = response;                              file.previewElement.classList.add("dz-success");
  
            console.log("Successfully uploaded :" + imgName);
  
            $('#form_video').val(file);
  
       },
  
       error: function (file, response) {file.previewElement.classList.add("dz-error");
  
       }
  
   }).autoDiscover = false;
  
      Dropzone.prototype.defaultOptions.dictRemoveFile = "Rimuovi file";
  
      Dropzone.on("addedfile", function(file) {
  
          var cancelLink = Dropzone.createElement('<a>Cancel upload</a>');
  
       file.previewElement.appendChild(cancelLink);
  
       cancelLink.addEventListener("click", function(e) {
  
       e.preventDefault();
  
       myDropzone.cancelUpload(file);
  
   });
  
  });

  PHP

  $target_dir = "/var/www/html/example.com/web/temp/";
  
  $target_file = $target_dir . basename($_FILES["file"]["name"]);
  
  $uploadOk = 1;
  
  $imageFileType = pathinfo($target_file,PATHINFO_EXTENSION);
  
  // Check if image file is a actual image or fake image
  
  if(isset($_POST["submit"])) {
  
      $check = getimagesize($_FILES["file"]["tmp_name"]);
  
      if($check !== false) {
  
          echo "File is a video - " . $check["mime"] . ".";
  
          $uploadOk = 1;
  
      } else {
  
          echo "File is not an image.";
  
          $uploadOk = 0;
  
      }
  
  }
  
  // Check if file already exists
  
  if (file_exists($target_file)) {
  
      echo "Sorry, file already exists.";
  
      $uploadOk = 0;
  
  }
  
  // Check file size
  
  if ($_FILES["fileToUpload"]["size"] > 200000000) {
  
      echo "Sorry, your file is too large.";
  
      $uploadOk = 0;
  
  }
  
  // Allow certain file formats
  
  if($imageFileType != "mp4" && $imageFileType != "mov" && $imageFileType != "avi" && $imageFileType != "m4v" ) {
  
      echo "Sorry, only MP4 MOV AVI M4V files are allowed.";
  
      $uploadOk = 0;
  
  }
  
  // Check if $uploadOk is set to 0 by an error
  
  if ($uploadOk == 0) {
  
      echo "Sorry, your file was not uploaded.";
  
  // if everything is ok, try to upload file
  
  } else {
  
      if (move_uploaded_file($_FILES["file"]["tmp_name"], $target_file)) {
  
          S3Up(VideoConvert(basename( $_FILES["file"]["name"]),random_int('1','9999')));
  
          echo "The file ". basename( $_FILES["file"]["name"]). " has been uploaded.";
  
      } else {
  
          echo "Sorry, there was an error uploading your file.";
  
      }
  
  }
  
  
  
  function VideoConvert($video, $id) {
  
      shell_exec('ffmpeg -i ' . $video . ' /var/www/html/example.com/web/temp/' . $id . '.m4v');
  
      for ($i=0;$i <= 5;$i++) {
  
          shell_exec('ffmpeg -i ' . $video .' -vf "select=gte(n\,' . $i .'00)" -vframes 1 ' .$id . '-' . $i. '.jpg');
  
      }
  
  
  
      return '/var/www/html/example.com/web/temp/' . $id . '.m4v';
  
  }
  
  
  
  function S3Up($video) {
  
      shell_exec('aws s3 cp ' . $video .' s3://example-video/ --grants read=uri=http://acs.amazonaws.com/groups/global/AllUsers');
  
      sleep(1);
  
      //shell_exec('rm '. $video);
  
  }

  Here is my error.log line relating to s3 upload :

  error.log

  example.mp4: No such file or directory
  
  Traceback (most recent call last):
  
    File "/usr/local/bin/aws", line 19, in <module>
  
      import awscli.clidriver
  
    File "/usr/local/lib/python2.7/dist-packages/awscli/clidriver.py", line 17, in <module>
  
      import botocore.session
  
    File "/usr/local/lib/python2.7/dist-packages/botocore/session.py", line 26, in <module>
  
      import botocore.credentials
  
    File "/usr/local/lib/python2.7/dist-packages/botocore/credentials.py", line 22, in <module>
  
      from dateutil.parser import parse
  
  ImportError: No module named dateutil.parser
  
  </module></module></module></module>

  How can I improve this ? I’ve tried using aws php api but got some problems with credentials, cli tools don’t have.

  Behavior

  At the moment dropzone.js stop uploading at 50% if I put a file of 8 MB, php maxUploadSize directive is set to 201M, php upload temp folder is inside the site root directory and permissions set to 7777. File where uploaded if I put a smallest file of 200Kb but don’t convert and make a 0 byte file.

• passing additional values to s3 event notification for lambda consumption

  8 septembre 2017, par user1790300

  I have to write code in react-native that allows a user to upload videos to amazon s3 to be transcoded for consumption by various devices. For the processing after the upload occurs ; I am reviewing two approaches :

  1) I can use Lambda with ffmpeg to handle the transcoding immediately after the uploading occurs (my fear here would be the amount of time required to transcode the videos and the effect on pricing if it takes a considerable amount of time).

  2) I can have s3 pass an sns message to a rest api after the created event occurs and the rest api generate a rabbitmq message that will be processed by worker that will perform the transcoding using ffmpeg.

  Option 1) seems to be the preferable option based on a completion time perspective. How concerned should I be with using 1) considering how long video transcoding might take as opposed to option 2) ?

  Also, regardless, I need a way to pass additional parameters to lambda or along the sns messaging that would allow me to somehow associate the user who uploaded the video with their account. Is there a way to pass additional text-based values to s3 to pass along to lambda or along sns when the upload completes, as a caveat I plan to upload the video directly to s3 using the rest layer(found this answer here : http://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectPUT.html#RESTObjectPUT-responses-examples) ?