Leverage the power of regular expressions in JavaScript for organizing and handling source files

Question

Leverage the power of regular expressions in JavaScript for organizing and handling source files

Embarking on my coding journey with JavaScript, I have also been exploring the world of Three.js, a webgl library.

After watching tutorials and conducting experiments, I am proud to share my latest creation: .

In my code, you'll notice that the object reflects a random selection from a folder containing 13 images, out of which 6 are displayed.


    var numberOfImages = 13, images = [];
    for (var i = 1; i <= numberOfImages; i++) {
        images.push('sources/instagram/image' + i + ".jpg");
    }

    var urls = images.sort(function(){return .6 - Math.random()}).slice(0,6);
    var reflectionCube = THREE.ImageUtils.loadTextureCube( urls );
    reflectionCube.format = THREE.RGBFormat;

As I add new Instagram pictures to the folder, they are automatically included in the rotation.

However, updating the number of images in the code manually can be tedious. I'm seeking a more dynamic solution using regular expressions or other methods to adjust the code automatically based on the images uploaded.

I've come across references to regular expressions as a potential solution. Is this the best approach? Should I invest time in mastering regular expressions for this problem?

If you have any suggestions or alternative solutions, I would greatly appreciate your insights. Whether it's a simple adjustment to the code or a more complex language to learn, I want to ensure I tackle this challenge effectively.

javascript regex three.js

Answer 1

Answer №1

Programming in any language for an extended period will require knowledge of regular expressions and their proper usage, making it beneficial to learn them.

If dealing with a client/server problem where server control is possible, a common solution involves the server scanning its file system and informing the client about the number of images needed.

If the task must be completed solely on the client side, direct file system scanning is not feasible. However, requesting incrementing file numbers and monitoring image loading success can provide insight asynchronously, though coding this process may pose challenges due to asynchronous responses.

The following is a proposed method for preloading images and identifying where successful preload stops:

function preloadImages(srcs, callback) {
    var img, imgs = [];
    var remaining = srcs.length;
    var failed = [];

    function checkDone() {
        --remaining;
        if (remaining <= 0) {
            callback(failed);
        }
    }

    for (var i = 0; i < srcs.length; i++) {
        img = new Image();
        img.onload = checkDone;
        img.onerror = img.onabort = function() {
            failed.push(this.src);
            checkDone();
        }
        img.src = srcs[i];
        imgs.push(img);
    }
}

var maxNumberOfImages = 30, images = [];
for (var i = 1; i <= maxNumberOfImages; i++) {
    images.push('sources/instagram/image' + i + ".jpg");
}

preloadImages(images, function(failed) {
    var regex = /(\d+)\.jpg$/;
    var nums = failed.map(function(item) {
        var matches = item.match(regex);
        return parseInt(matches[1], 10);
    }).sort();
    var numImages = nums[0];
    // implement code here based on the obtained information
});

Note: A regular expression is utilized to extract the image number from a URL in this process.

While achieving this without a preset limit is possible, it would involve more effort. A potential approach could be requesting images in blocks of 10 and continuing until the first failure occurs.

Answer 2

Programming in any language for an extended period will require knowledge of regular expressions and their proper usage, making it beneficial to learn them.

If dealing with a client/server problem where server control is possible, a common solution involves the server scanning its file system and informing the client about the number of images needed.

If the task must be completed solely on the client side, direct file system scanning is not feasible. However, requesting incrementing file numbers and monitoring image loading success can provide insight asynchronously, though coding this process may pose challenges due to asynchronous responses.

The following is a proposed method for preloading images and identifying where successful preload stops:

function preloadImages(srcs, callback) {
    var img, imgs = [];
    var remaining = srcs.length;
    var failed = [];

    function checkDone() {
        --remaining;
        if (remaining <= 0) {
            callback(failed);
        }
    }

    for (var i = 0; i < srcs.length; i++) {
        img = new Image();
        img.onload = checkDone;
        img.onerror = img.onabort = function() {
            failed.push(this.src);
            checkDone();
        }
        img.src = srcs[i];
        imgs.push(img);
    }
}

var maxNumberOfImages = 30, images = [];
for (var i = 1; i <= maxNumberOfImages; i++) {
    images.push('sources/instagram/image' + i + ".jpg");
}

preloadImages(images, function(failed) {
    var regex = /(\d+)\.jpg$/;
    var nums = failed.map(function(item) {
        var matches = item.match(regex);
        return parseInt(matches[1], 10);
    }).sort();
    var numImages = nums[0];
    // implement code here based on the obtained information
});

Note: A regular expression is utilized to extract the image number from a URL in this process.

While achieving this without a preset limit is possible, it would involve more effort. A potential approach could be requesting images in blocks of 10 and continuing until the first failure occurs.

Leverage the power of regular expressions in JavaScript for organizing and handling source files

Answer №1

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