Skip to main content

Ajax XMLHttpRequest.Upload returning null and "progress" eventListener not working even though the file has been uploaded

To learn more JavaScript and PHP, I am currently working on a small private project that allows me to upload single or multiple files to my server via PHP. The file/s get sent to the PHP script via Ajax. If I upload several files, I send one file after the other in a loop via Ajax to the PHP script. Since I wanted to make the visual part of the upload a bit more appealing, I added a progress bar via xhr.upload and a "progress" eventlistener, which worked well until a while ago.

However, after uploading a file for the first time in a while, I noticed that the progress bar no longer works. In the meantime, the code around the function has of course been extended, but the function itself has remained the same. Furthermore, uploading the file(s) to the server works perfectly and I get no errors.

After a few console outputs, it quickly became clear that the xhr.upload function only returns "null" values (see screenshot below). I guess that the "progress" eventlistener not firing is also due to this?

Console output of XMLHttpRequest after upload

Im working with php 8.0.8 and i am using MAMP as my localhost. I tested in Chrome and Safari.

This is my JavaScript function with which I send the files via Ajax to my upload.php:

let percentComplete = [];
let xhr = [];
let j = 0;

function uploadFiles() {
    text.innerHTML = "Sendet ...";
    
    $("#mssgBox").css({ 'display': 'block', 'bottom': '0' });

    let formData = new FormData();
    formData.append('file[]', fileListArr[j]);
    let progressbarID = $(".progressbar_" + id[j]);
    $.ajax({
        url: "../upload.php",
        type: "POST",
        xhr: function () {
            xhr[j] = new XMLHttpRequest();
            console.log(xhr[j]);
            xhr[j].upload.addEventListener("progress", function (e) {
                console.log(e.loaded + ' & ' + e.total + ' & ' + Math.floor((e.loaded / e.total) * 100));
                progressbarID.css({ "width": Math.floor((e.loaded / e.total) * 100) + '%' });
                //notifyMe('Uploading', Math.floor((e.loaded / e.total) * 100));
            }, false);
            return xhr[j];
        },
        error: function (error) {
            text.innerHTML += '<br/>Error: ' + error;
        },
        data: formData,
        cache: false,
        contentType: false,
        processData: false,
        timeout: 60000
    }).done(function (respond) {
        text.textContent = '';
        text.innerHTML += respond + '<br/>';
        console.log(respond);
        notifyMe(respond, '100');

        j = j + 1;
        if (j < fileListArr.length) {
            uploadFiles();
        } else {
            j = 0;
        }

        $("#uploadedFiles").load("filesuploaded.php");
    });
}

My upload.php:

<?php
session_start();
include('assets/imgResize.php');
$total_count = count($_FILES['file']['name']);

$phpFileUploadErrors = array(
  0 => 'ACHTUNG: There is no error, the file uploaded with success',
  1 => 'ACHTUNG: The uploaded file exceeds the upload_max_filesize directive in php.ini',
  2 => 'ACHTUNG: The uploaded file exceeds the MAX_FILE_SIZE directive that was specified in the HTML form',
  3 => 'ACHTUNG: The uploaded file was only partially uploaded',
  4 => 'ACHTUNG: No file was uploaded',
  6 => 'ACHTUNG: Missing a temporary folder',
  7 => 'ACHTUNG: Failed to write file to disk.',
  8 => 'ACHTUNG: A PHP extension stopped the file upload.',
);

for ($i = 0; $i < $total_count; $i++) {
  if ($_FILES["file"]["error"][$i] > 0) {
    $errorCode = $_FILES["file"]["error"][$i];
    echo $phpFileUploadErrors[$errorCode];
  } else {
    if (file_exists("upload/" . $_SESSION['userUid'] . '/' . str_replace(' ', '_', $_FILES["file"]["name"][$i]))) {

      echo "ACHTUNG: " . $_FILES["file"]["name"][$i] . " existiert bereits.<br/>";

    } else {

      if (imageType($_FILES["file"]['tmp_name'][$i])) {
        $image = scaleImageFileToBlob($_FILES['file']['tmp_name'][$i], 'thumb_' . $_SESSION['userUid'] . '_' . str_replace(' ', '_', $_FILES["file"]["name"][$i]));
        if ($image == '') {
          echo 'ACHTUNG: Image type not supported';
        }

      }

      $uploadFile = move_uploaded_file($_FILES["file"]["tmp_name"][$i], "upload/" . $_SESSION['userUid'] . '/' . str_replace(' ', '_', $_FILES["file"]["name"][$i]));
      if ($uploadFile) {
        echo $_FILES["file"]["name"][$i] . " erfolgreich hochgeladen";
      } else {
        echo "ACHTUNG: Fehler beim hochgeladen von " . $_FILES["file"]["name"][$i];
      }
    }
  }
}
?>

Can someone tell me for what reason I only get null values for my xhr.upload?

Also if you need more information, I will give them to you.

Thanks in advance :)

P.S. I can imagine that doing multiple ajax requests in a loop like I did is probably not optimal but it's the only way I managed to get one progressbar per uploaded file.

Via Active questions tagged javascript - Stack Overflow https://ift.tt/avVxGoY

Comments

Popular posts from this blog

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...