Question

put只接受文件目录，似乎在函数中无法使用方法put。使用Uint8Array(data)，我认为我可以使用新的upload上传。但它不适用于exports.modificarImagen = functions.storage.object().onChange(event => { const THUMB_PREFIX = 'thumb_'; const object = event.data; const fileBucket = object.bucket; const filePath = object.name; const contentType = object.contentType; const resourceState = object.resourceState; const metageneration = object.metageneration; const SIZES = [64]; const bucket = gcs.bucket(fileBucket); const fileName = filePath.split('/').pop(); const tempIconoPath = path.join(os.tmpdir(), 'icono-amarillo.png'); const tempPerfilPath = path.join(os.tmpdir(), 'perfil64.jpg'); return bucket.file('images/icono-amarillo.png').download({ destination: tempIconoPath }).then(() => { bucket.file('images/perfil64.jpg').download({ destination: tempPerfilPath }).then(() => { _.each(SIZES, (size) => { let newFileName = 'nueva_imagen.png'; let newFileTemp = path.join(os.tmpdir(), newFileName); let newFilePath = `images/${newFileName};` sharp(tempIconoPath) .flatten() .background('#ff6600') .overlayWith(tempPerfilPath, { gravity: sharp.gravity.southeast } ) .sharpen() .withMetadata() .raw() .toBuffer().then(function(outputBuffer) { //here is the problem. outputBuffer is a raw file uint8array and // storage only allows file path. bucket.upload(outputBuffer, { destination: newFilePath }).then(() => { console.log("do another thing"); }); }); })//each }) }) })方法。

function EmailCheck($sql) {

if (isset($_POST['email'])) {
    $newemail = $_POST["email"];

    if (!filter_var($_POST['email'], FILTER_VALIDATE_EMAIL)) {
        echo "Invalid e-mail, please try a different.";
        exit;
    }

    $check_email = $sql->query("SELECT email FROM auth WHERE email='$newemail'");
    if ($check_email-> num_rows) {
        echo "E-mail is already in use.";
        exit;
    }
} 
else {
   mysqli_query($sql, "UPDATE auth SET email='$newemail' WHERE username = '$this->username'");
   header("Location: userinfo.php");
   exit;
 }
}

Answer 1

您可以将Google Cloud Storage和Sharp与流一起使用。以下应该有效：

function transform(fileBucket, tempPerfilPath, filePath, newFilePath) {
  const thumbnailUploadStream = fileBucket.file(newFilePath).createWriteStream();

  // Create Sharp pipeline for resizing the image and use pipe to read from bucket read stream
  const pipeline = sharp();
  pipeline
      .flatten()
      .background('#ff6600')
      .overlayWith(tempPerfilPath, { gravity: sharp.gravity.southeast } )
      .sharpen()
      .withMetadata()
      .raw()
      .pipe(thumbnailUploadStream);

  fileBucket.file(filePath).createReadStream().pipe(pipeline);

  const streamAsPromise = new Promise((resolve, reject) =>
      thumbnailUploadStream.on('finish', resolve).on('error', reject));

  return streamAsPromise.then(() => {
    return console.log('Image created and uploaded successfully');
  });
}

如何将uint8像素数据上传到Firebase功能上的存储？

1 个答案: