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• Create mp4 thumbnail in node.js

  21 mai 2015, par trdavidson

  new in node.js and aws framework so I apologize in advance. I am trying to configure the AWS DB of my app to automatically create thumbnails using AWS Lambda. This works great using the example provided by Amazon for regular .jpg images (walkthrough here : https://alestic.com/2014/11/aws-lambda-cli/).

  However to try and do the same operation for mp4 files seems exponentially more difficult. After some searching I found that it seems the way to do this is by using the ffmpeg module. The problem is that I do not at all understand the response object returned by aws, and thus am not sure how to manipulate it so that ffmpeg can use it.

  current code :

  // dependencies
  
  var async = require('async');
  
  var AWS = require('aws-sdk');
  
  var gm = require('gm')
  
              .subClass({ imageMagick: true }); // Enable ImageMagick integration.
  
  var util = require('util');
  
  var ffmpeg = require('ffmpeg');
  
  var stream = require('stream')
  
  
  
  // constants
  
  var MAX_WIDTH  = 250;
  
  var MAX_HEIGHT = 250;
  
  
  
  // get reference to S3 client 
  
  var s3 = new AWS.S3();
  
  
  
  exports.handler = function(event, context) {
  
      // Read options from the event.
  
      console.log("Reading options from event:\n", util.inspect(event, {depth: 5}));
  
      var srcBucket = event.Records[0].s3.bucket.name;
  
      // Object key may have spaces or unicode non-ASCII characters.
  
      var srcKey    =
  
      decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, " "));  
  
      var dstBucket = srcBucket + "small";
  
      var dstKey    = "small-" + srcKey;
  
  // Sanity check: validate that source and destination are different buckets.
  
  if (srcBucket == dstBucket) {
  
      console.error("Destination bucket must not match source bucket.");
  
      return;
  
  }
  
  
  
  // Infer the image type.
  
  var typeMatch = srcKey.match(/\.([^.]*)$/);
  
  if (!typeMatch) {
  
      console.error('unable to infer image type for key ' + srcKey);
  
      return;
  
  }
  
  var imageType = typeMatch[1];
  
  if (imageType != "mp4" && imageType != "avi") {
  
      console.log('skipping non-image ' + srcKey);
  
      return;
  
  }
  
  
  
  // Download the image from S3, transform, and upload to a different S3 bucket.
  
  async.waterfall([
  
      function download(next) {
  
          // Download the image from S3 into a buffer.
  
  
  
          s3.getObject({
  
                  Bucket: srcBucket,
  
                  Key: srcKey
  
              },
  
              next);
  
          },
  
      function tranform(response, next) {
  
          var instream = new stream.Readable();
  
          instream.push(response.Body)
  
          instream.push(null)
  
  
  
          var outstream = new stream();
  
  
  
          ffmpeg(instream)
  
          .screenshots({timestamps: 1, size: '200x200'})
  
          .output('screenshot.png')
  
          .output(outstream)
  
          .on('end', function(){
  
              console.log('screenshots finished processing son!')
  
          })
  
  
  
          gm(outstream, 'screenshot.png').size(function(err, size) {
  
              // Infer the scaling factor to avoid stretching the image unnaturally.
  
              var scalingFactor = Math.min(
  
                  MAX_WIDTH / size.width,
  
                  MAX_HEIGHT / size.height
  
              );
  
              var width  = scalingFactor * size.width;
  
              var height = scalingFactor * size.height;
  
  
  
              // Transform the image buffer in memory.
  
              this.resize(width, height)
  
                  .toBuffer(imageType, function(err, buffer) {
  
                      if (err) {
  
                          next(err);
  
                      } else {
  
                          next(null, response.ContentType, buffer);
  
                      }
  
                  });
  
          });
  
      },
  
      function upload(contentType, data, next) {
  
          // Stream the transformed image to a different S3 bucket.
  
          s3.putObject({
  
                  Bucket: dstBucket,
  
                  Key: dstKey,
  
                  Body: data,
  
                  ContentType: contentType
  
              },
  
              next);
  
          }
  
      ], function (err) {
  
          if (err) {
  
              console.error(
  
                  'Unable to resize ' + srcBucket + '/' + srcKey +
  
                  ' and upload to ' + dstBucket + '/' + dstKey +
  
                  ' due to an error: ' + err
  
              );
  
          } else {
  
              console.log(
  
                  'Successfully resized ' + srcBucket + '/' + srcKey +
  
                  ' and uploaded to ' + dstBucket + '/' + dstKey
  
              );
  
          }
  
  
  
          context.done();
  
      }
  
  );

  } ;

  Any suggestions are welcome ! Thanks

• Store converted video in a buffer to transfer to S3

  24 mai 2012, par Chris

  I have a system set up to upload an image, take that temporarily uploaded file, convert it to a resized jpeg, read the buffer of that conversion and send the buffer to amazon S3 for storage as an image. It works wonderfully because no permanent file is stored on the my server, everything is on S3.

  Now I am attempting to add this same functionality but with video. The process goes through, but the resulting files stored on Amazons S3 servers are 1.5kb a piece, instead of multimb videos.

  My code is as follows :

  public function transfer($method, $file, $bucketName, $filename, $contentType){
  
      switch($method){
  
          case 'file':
  
              if($this->s3->putObject($this->s3->inputFile($file, false), $bucketName, $filename, S3::ACL_PUBLIC_READ, array(), $contentType))
  
                  return true;
  
              else
  
                  return false;
  
              break;
  
          case 'string':
  
              if ($this->s3->putObject($file, $bucketName, $filename, S3::ACL_PUBLIC_READ, array(), $contentType))
  
                  return true;
  
              else
  
                  return false;
  
              break;
  
          case 'resource':
  
              if($this->s3->putObject($this->s3->inputResource(fopen($file, 'rb'), filesize($file)), $bucketName, $filename, S3::ACL_PUBLIC_READ, array(), $contentType))
  
                  return true;
  
              else
  
                  return false;
  
              break;
  
      }
  
      return false;
  
  }   
  
  
  
  
  
  /**
  
  *   AmazonS3Handler - convert()
  
  */
  
  
  
  public function convert($file, $type)
  
  {
  
           $ffmpeg = "/usr/bin/ffmpeg";
  
      $cmd['webm'] = $ffmpeg. " -i ". $file ." -vcodec libvpx -acodec libvorbis -ac 2 -f webm -g 30 2>&1";
  
      $cmd['ogv'] = $ffmpeg. " -i ". $file ." -vcodec libtheora -acodec libvorbis -ac 2 2>&1";
  
      $cmd['mp4'] = $ffmpeg. " -i ". $file ." -vcodec libx264 -acodec libfaac -ac 2 2>&1";
  
      $cmd['jpg'] = $ffmpeg. " -i ". $file ." -vframes 30";
  
  
  
      ob_start();
  
      passthru($cmd[$type]);
  
      $fileContents = ob_get_contents();
  
      ob_end_clean();
  
      return $fileContents;
  
  }

  From my understanding, passthru should return raw output which could be picked up by the output buffer.

  Am I doing something wrong ? Is there a better way to convert a video on my servers but keep the data on S3 ?

  Thanks !

  EDIT : I've boiled it down to the executing of the command. FFMPEG wasn't being located, so I changed the path to "/usr/bin/ffmpeg", no more error 127, now when I run exec() (not passthru) I get error 1

  EDIT2 : Here is the output of running the script :

  Array
  
  (
  
  [0] => ffmpeg version 0.7.3-4:0.7.3-0ubuntu0.11.10.1, Copyright (c) 2000-2011 the Libav developers
  
  [1] =>   built on Jan  4 2012 16:08:51 with gcc 4.6.1
  
  [2] =>   configuration: --extra-version='4:0.7.3-0ubuntu0.11.10.1' --arch=amd64 --prefix=/usr --enable-vdpau --enable-bzlib --enable-libgsm --enable-libschroedinger --enable-libspeex --enable-libtheora --enable-libvorbis --enable-pthreads --enable-zlib --enable-libvpx --enable-runtime-cpudetect --enable-vaapi --enable-gpl --enable-postproc --enable-swscale --enable-x11grab --enable-libdc1394 --enable-shared --disable-static
  
  [3] =>   libavutil    51.  7. 0 / 51.  7. 0
  
  [4] =>   libavcodec   53.  6. 0 / 53.  6. 0
  
  [5] =>   libavformat  53.  3. 0 / 53.  3. 0
  
  [6] =>   libavdevice  53.  0. 0 / 53.  0. 0
  
  [7] =>   libavfilter   2.  4. 0 /  2.  4. 0
  
  [8] =>   libswscale    2.  0. 0 /  2.  0. 0
  
  [9] =>   libpostproc  52.  0. 0 / 52.  0. 0
  
  [10] => 
  
  [11] => Seems stream 1 codec frame rate differs from container frame rate: 2000.00 (2000/1) -> 30.30 (1000/33)
  
  [12] => Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'iv.m4v':
  
  [13] =>   Metadata:
  
  [14] =>     major_brand     : M4V
  
  [15] =>     minor_version   : 1
  
  [16] =>     compatible_brands: M4V M4A mp42isom
  
  [17] =>     creation_time   : 2012-01-23 04:00:18
  
  [18] =>     encoder         : Mac OS X v10.7.2 (CMA 889, CM 705.42, x86_64)
  
  [19] =>   Duration: 00:00:11.70, start: 0.000000, bitrate: 345 kb/s
  
  [20] =>     Stream #0.0(und): Audio: aac, 44100 Hz, stereo, s16, 125 kb/s
  
  [21] =>     Metadata:
  
  [22] =>       creation_time   : 2012-01-23 04:00:18
  
  [23] =>     Stream #0.1(und): Video: h264 (Main), yuv420p, 640x360 [PAR 1:1 DAR 16:9], 206 kb/s, 30.30 fps, 30.30 tbr, 1k tbn, 2k tbc
  
  [24] =>     Metadata:
  
  [25] =>       creation_time   : 2012-01-23 04:00:18
  
  [26] => iv.webm: Permission denied
  
  )

  It looks like the permissions aren't set right, however the file has chmod 777 permissions. What other permissions need to get changed ?

• Revision 36454 : uniformiser les inputs du formulaire de login

  19 mars 2010, par brunobergot@… — Log

  uniformiser les inputs du formulaire de login