Recherche avancée

Sur d’autres sites (10383)

• 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 ?

  


• 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,

• avcodec/flac_parser : Fix off-by-one error

  6 octobre 2019, par Andreas Rheinhardt

  avcodec/flac_parser : Fix off-by-one error
  The flac parser uses a fifo to buffer its data. Consequently, when
  
  searching for sync codes of flac packets, one needs to take care of
  
  the possibility of wraparound. This is done by using an optimized start
  
  code search that works on each of the continuous buffers separately and
  
  by explicitly checking whether the last pre-wrap byte and the first
  
  post-wrap byte constitute a valid sync code.
  Moreover, the last MAX_FRAME_HEADER_SIZE - 1 bytes ought not to be searched
  
  for (the start of) a sync code because a header that might be found in this
  
  region might not be completely available. These bytes ought to be searched
  
  lateron when more data is available or when flushing.
  Unfortunately there was an off-by-one error in the calculation of the
  
  length to search of the post-wrap buffer : It was too large, because the
  
  calculation was based on the amount of bytes available in the fifo from
  
  the last pre-wrap byte onwards. This meant that a header might be
  
  parsed twice (once prematurely and once regularly when more data is
  
  available) ; it could also mean that an invalid header will be treated as
  
  valid (namely if the length of said invalid header is
  
  MAX_FRAME_HEADER_SIZE and the invalid byte that will be treated as the
  
  last byte of this potential header happens to be the right CRC-8).
  Should a header be parsed twice, the second instance will be the best child
  
  of the first instance ; the first instance's score will be
  
  FLAC_HEADER_BASE_SCORE - FLAC_HEADER_CHANGED_PENALTY ( = 3) higher than
  
  the second instance's score. So the frame belonging to the first
  
  instance will be output and it will be done as a zero length frame (the
  
  difference of the header's offset and the child's offset). This has
  
  serious consequences when flushing, as returning a zero length buffer
  
  signals to the caller that no more data will be output ; consequently the
  
  last frames not yet output will be dropped.
  Furthermore, a "sample/frame number mismatch in adjacent frames" warning
  
  got output when returning the zero-length frame belonging to the first
  
  header, because the child's sample/frame number of course didn't match
  
  the expected sample frame/number given its parent.
  filter/hdcd-mix.flac from the FATE-suite was affected by this (the last
  
  frame was omitted) which is the reason why several FATE-tests needed to
  
  be updated.
  Fixes ticket #5937.
  Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
  

  • [DH] libavcodec/flac_parser.c
  • [DH] tests/fate/filter-audio.mak