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• Cannot convert video file to audio file inside AWS lambda function using Node js

  21 février 2019, par Arun

  I cannot convert a video file into an audio file inside AWS lambda function using Node JS. While running my lambda function it doesn’t throw any error it executes without any error. But the audio file size is still 0 MB size. I am not able to find bugs or any issues in my code.

  Here is my code,

  const fs = require('fs');
  
  const childProcess = require('child_process');
  
  const AWS = require('aws-sdk');
  
  const path = require('path');
  
  AWS.config.update({
  
      region : 'us-east-2'
  
  });
  
  const s3 = new AWS.S3({apiVersion: '2006-03-01'});
  
  
  
  
  
  exports.handler = (event, context, callback) => {
  
      process.env.PATH = process.env.PATH + ':/tmp/';
  
      process.env['FFMPEG_PATH'] = '/tmp/ffmpeg';
  
      const BIN_PATH = process.env['LAMBDA_TASK_ROOT'];
  
      process.env['PATH'] = process.env['PATH'] + ':' + BIN_PATH;
  
  
  
      childProcess.exec(
  
          'cp /var/task/ffmpeg /tmp/.; chmod 755 /tmp/ffmpeg;',
  
          function (error, stdout, stderr) {
  
              if (error) {
  
                  console.log('Error occured',error);
  
              } else {
  
                  var ffmpeg = '/tmp/ffmpeg';
  
                  var createStream = fs.createWriteStream("/tmp/video.mp3");
  
                  createStream.end();
  
                  var params = {
  
                      Bucket: "test-bucket",
  
                      Key: event.Records[0].s3.object.key
  
                  };
  
                  s3.getObject(params, function(err, data) {
  
                      if (err) {
  
                          console.log("Error", err);
  
                      }
  
                      fs.writeFile("/tmp/vid.mp4", data.Body, function (err) {
  
                          if (err) console.log(err.code, "-", err.message);
  
                          return callback(err);
  
                      }, function() {
  
                          try {
  
                              var stats = fs.statSync("/tmp/vid.mp4");
  
                              console.log("size of the file1 ", stats["size"]);
  
                              try {
  
                                  console.log("Yeah");
  
                                  const inputFilename = "/tmp/vid.mp4";
  
                                  const mp3Filename = "/tmp/video.mp3";
  
                                  // // Convert the FLV file to an MP3 file using ffmpeg.
  
                                  const ffmpegArgs = [
  
                                      '-i', inputFilename,
  
                                      '-vn', // Disable the video stream in the output.
  
                                      '-acodec', 'libmp3lame', // Use Lame for the mp3 encoding.
  
                                      '-ac', '2', // Set 2 audio channels.
  
                                      '-q:a', '6', // Set the quality to be roughly 128 kb/s.
  
                                      mp3Filename,
  
                                  ];
  
                                  try {
  
                                      const process = childProcess.spawnSync(ffmpeg, ffmpegArgs);
  
                                      console.log("stdout ", process.stdout);
  
                                      console.log("stderr ", process.stderr);
  
                                      console.log("tmp files ");
  
                                      fs.readdir('/tmp/', (err, files) => {
  
                                          files.forEach(file => {
  
                                              var stats = fs.statSync(`/tmp/${file}`);
  
                                              console.log("size of the file2 ", stats["size"]);
  
                                            console.log(file);
  
                                          });
  
                                        });
  
  
  
                                  } catch (e) {
  
                                      console.log("error while converting video to audio ", e);
  
                                  }
  
  
  
                                  // return process;
  
                              } catch (e) {
  
                                  console.log(e);
  
                              }
  
                          } catch (e) {
  
                              console.log("file is not complete", e);
  
                          }
  
                      }, function () {
  
                          console.log("checking ");
  
                          var stats = fs.statSync("/tmp/video.mp3");
  
                          console.log("size of the file2 ", stats["size"]);
  
                      });
  
  
  
                      return callback(err);
  
                  });
  
              }
  
          }
  
      )
  
  }

  Code workflow

  First of all, I have downloaded ffmpeg binary exec file and put into my project directory. After that, I compressed my project and put it into the lambda function. This lambda function will be triggered whenever the new files are uploaded into an S3 bucket. I have checked /tmp/ storage files and the audio file .mp3 present but the size is 0 MB.

  Note

  And also, in my code the below is not calling or this part is not reaching. When I look into Cloudwatch logs I can’t see this console log messages. I don’t know why this function is not calling.

  function () {
  
          console.log("checking ");
  
          var stats = fs.statSync("/tmp/video.mp3");
  
          console.log("size of the file2 ", stats["size"]);
  
      });

  Please help me to find the solution of this issue. I have spent a lot of times to figure out this issue. But I am not able to find the solution. Any suggestions are welcome !!
  Thanks,

• AWS lambda SAM deploy error - Template format error : Unresolved resource dependencies

  1er juin 2022, par mozenge

  I have am trying to deploy an aws lambda function using the SAM cli. I have some layers defined in the sam template. Testing locally using sam local start-api works quite well. The but deploying using the sam deploy --guided command throws the following error
Error: Failed to create changeset for the stack: sam-app, ex: Waiter ChangeSetCreateComplete failed: Waiter encountered a terminal failure state: For expression "Status" we matched expected path: "FAILED" Status: FAILED. Reason: Template format error: Unresolved resource dependencies [arn:aws:lambda:us-west-1:338231645678:layer:ffmpeg:1] in the Resources block of the template

  


  The SAM template is as follows

  


  AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: >
  video-processor-functions

  Functions to generate gif and thumbnail from uploaded videos
  
# More info about Globals: https://github.com/awslabs/serverless-application-model/blob/master/docs/globals.rst
Globals:
  Function:
    Timeout: 3
    Tracing: Active

Resources:
  VideoProcessorFunctions:
    Type: AWS::Serverless::Function # More info about Function Resource: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#awsserverlessfunction
    Properties:
      CodeUri: src/
      Handler: app.lambdaHandler
      Runtime: nodejs14.x
      # timeout in seconds - 2 minutes
      Timeout: 120
      Layers:
        - !Ref VideoProcessorDepLayer
        - !Ref arn:aws:lambda:us-west-1:338231645678:layer:ffmpeg:1
      Architectures:
        - x86_64
      Events:
        HelloWorld:
          Type: Api # More info about API Event Source: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#api
          Properties:
            Path: /hello
            Method: get

  VideoProcessorDepLayer:
    Type: AWS::Serverless::LayerVersion
    Properties:
      LayerName: mh-video-processor-dependencies
      Description: Dependencies for sam app [video-processor-functions]
      ContentUri: dependencies/
      CompatibleRuntimes:
        - nodejs14.17
      LicenseInfo: 'MIT'
      RetentionPolicy: Retain

Outputs:
  # ServerlessRestApi is an implicit API created out of Events key under Serverless::Function
  # Find out more about other implicit resources you can reference within SAM
  # https://github.com/awslabs/serverless-application-model/blob/master/docs/internals/generated_resources.rst#api
  HelloWorldApi:
    Description: "API Gateway endpoint URL for Prod stage for Hello World function"
    Value: !Sub "https://${ServerlessRestApi}.execute-api.${AWS::Region}.amazonaws.com/Prod/hello/"
  VideoProcessorFunctions:
    Description: "Generate GIF and Thumnail from Video"
    Value: !GetAtt VideoProcessorFunctions.Arn
  VideoProcessorFunctionsIamRole:
    Description: "Implicit IAM Role created for MH Video Processor function"
    Value: !GetAtt VideoProcessorFunctionsRole.Arn



  


  Any ideas what i'm doing wrong ?

  


• Revision 36038 : Améliorations diverses dont l’encodage

  10 mars 2010, par kent1@… — Log

  Améliorations diverses dont l’encodage