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• Can't upload huge video to google storage. I using "@ffmpeg-installer/ffmpeg" and @google-cloud/storage

  20 juillet 2022, par Dmytro Petskovych

  I upload file to google storage using "@ffmpeg-installer/ffmpeg" and @google-cloud/storage in my node.js App.
Step 1. file uploading to fs is in child processes - one process for each type of resolution (totaly six).
step 2. encription (converting to stream)
step 3. upload to google storage

  


  I use "Upload a directory to a bucket" in order to send the video from the client to the Google Cloud Storage bucket.

  


  This way is working fine only with small file.

  


  when I upload video, actually I upload six videos, one for each type resolution

  


  for example when I upload video with duration one hour it split on chunk and totally I get more three thousands files.

  


  So actually i upload folder with large amount of files, but not all of this files are uploaded to cloud.

  


  maybe someone had the similar problem and helps fix it.

  


  


  


  const uploadFolder = async (bucketName, directoryPath, socketInstance) => {
    try {
      let dirCtr = 1;
      let itemCtr = 0;
      const fileList = [];

      const onComplete = async () => {
        const folderName = nanoid(46);

        await Promise.all(
          fileList.map(filePath => {
            const fileName = path.relative(directoryPath, filePath);
            const destination = `${ folderName }/${ fileName }`;

            return storage
              .bucket(bucketName)
              .upload(filePath, { destination })
              .then(
                uploadResp => ({ fileName: destination, status: uploadResp[0] }),
                err => ({ fileName: destination, response: err })
              );
          })
        );

        if (socketInstance) socketInstance.emit('uploadProgress', {
          message: `Added files to Google bucket`,
          last: false,
          part: false
        });

        return folderName;
      };

      const getFiles = async directory => {
        const items = await fs.readdir(directory);
        dirCtr--;
        itemCtr += items.length;
        for(const item of items) {
          const fullPath = path.join(directory, item);
          const stat = await fs.stat(fullPath);
          itemCtr--;
          if (stat.isFile()) {
            fileList.push(fullPath);
          } else if (stat.isDirectory()) {
            dirCtr++;
            await getFiles(fullPath);
          }
        }
      }

      await getFiles(directoryPath);

      return onComplete();
    } catch (e) {
      log.error(e.message);
      throw new Error('Can\'t store folder.');
    }
  };

  


  


  



• FFMPEG creating mp3 with "Junk" at the end

  13 juillet 2022, par Johnaras

  I have a web application which converts WebM files to mp3 using FFMPEG.js in the Client-Side. Once the mp3 conversion finishes, users are prompted to download their file.

  


  Lately, I realized that a lot of mp3 files which I tried to converted have a different duration value than the original WebM file. The duration is usually longer. For instance, a WebM file with duration of 2:16 gets converted to an mp3 file with a duration of 2:29. Once the player reaches at 2:16 it just goes back to the start.

  


  I have tried to open the file in Audacity but it keeps saying that this MP3 file seems to be "Malformed".

  


  I also tried to use MP3val and it says the file has junk at the end.

  


  Code Snippets :

  


  const worker = new Worker("/ffmpeg-worker-mp4.js");
import { fetchFile } from "@ffmpeg/ffmpeg"; // https://www.npmjs.com/package/@ffmpeg/ffmpeg

const convertSong = async (title, id, bitrate) => {
    setProgress("Initializing...")
    ffmpegVars = [title]
    
    worker.postMessage({
      type: "run",
      arguments: ["-i", `input.webm`, "-c:a", "libmp3lame",  "-vn", "-ab", `${bitrate ? bitrate : 256}k`, "-ar", "44100", "-f", "mp3", `output.mp3`],
      MEMFS: [{ name: "input.webm", data: await fetchFile(`/api/download/stream?video=${id}`) }]
    });
}

convertSong(data.title, data.id, data.bitrate)


  


  I'm literally willing to pay anyone who helps me fix this.

  


• Failed to convert web-saved .wemb audio to .wav by using php "shell_exec" and javascript

  30 mai 2022, par Anirbasgnaw

  I'm working on an online experimenter which could record participants' audio from the browser. The audio data I get has an extension of .wemb, so I plan to use ffmpeg to convert it to .wav while I save the data.

  


  I tried to use PHP's shell_exec but nothing happens when I run the scripts. Then I found that my echo and print_r also did not work. I'm new to PHP and javascript, so I''m really confused now.

  


  Below are the relevant codes, I really appreciate it if you could help !

  


  write_data.php :

  


  <?php
  $post_data = json_decode(file_get_contents('php://input'), true); 
  // the directory "data" must be writable by the server
  $name = "../".$post_data['filename'];
  $data = $post_data['filedata'];
   // write the file to disk
  file_put_contents($name, $data);
  
  $INPUT = trim($name) . ".webm";
  $OUTPUT = trim($name) . ".wav";
  echo "start converting...";

  // check if ffmprg is available
  $ffmpeg = trim(shell_exec('which ffmpeg'));
  print_r($ffmpeg);
  // call ffmpeg
  shell_exec("ffmpeg -i '$INPUT' -ac 1 -f wav '$OUTPUT' 2>&1 ");
?>


  


  javascript :

  


    saveData: function(fileName,format){
    // save  as json by default
    if (!format){ format = 'json';}
    // add extension to filename
    fileName = `${fileName}.${format}`
    // create saveData object using fetch
    let saveData = [];
    if (format == 'json') {
        saveData = {
          type: 'call-function',
          async: true,
          func: async function(done) {
            let data = jsPsych.data.get().json();
            const response = await fetch("../write_data.php", {
              method: "POST",
              headers: {
                "content-type": "application/json"
              },
              body: JSON.stringify({ filename: fileName, filedata: data })
            });
            if (response.ok) {
              const responseBody = await response.text();
              done(responseBody);
            }
          }
        }
    } else {
        saveData = {
          type: 'call-function',
          async: true,
          func: async function(done) {
            let data = jsPsych.data.get().csv();
            const response = await fetch("../write_data.php", {
              method: "POST",
              headers: {
                "content-type": "application/json"
              },
              body: JSON.stringify({ filename: fileName, filedata: data })
            });
            if (response.ok) {
              const responseBody = await response.text();
              done(responseBody);
            }
          }
        }
    }
    return saveData;
  },