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Category: Dev News

HydePHP is a static site generator that helps you make websites, blogs, and documentation pages with tools you already know and love. It is a Laravel-powered console application you can use to create blog posts and HTML pages using your choice of Markdown or Blade:

---
title: My New Post
description: A short description used in previews and SEO
category: blog
author: Mr. Hyde
date: 2022-05-09 18:38
---
 
## Write Your Markdown Here
 
Lorem ipsum dolor sit amet, consectetur adipisicing elit.
Autem aliquid alias explicabo consequatur similique,
animi distinctio earum ducimus minus, magnam.

Using Hyde's console, you can quickly serve your development project and create pages/posts interactively from the console:

Main Features

• Create blog posts using Markdown and Front Matter.
• Create documentation pages from plain Markdown, no front matter needed!
• Create simple pages using Markdown, or create advanced ones using Laravel Blade.
• You can scaffold blog posts and Markdown pages to automatically fill in the front matter.
• You can also scaffold Blade pages to automatically use the default layout.
• Hyde comes with a TailwindCSS starter kit, so you can start making content right away.
• The frontend is accessible to screen-readers and rich with semantic HTML and microdata.
• And more...

Learn More

I recommend digging into the hydephp.com project for a complete example of using this project, which you can find on Github. The official documentation is the best place to get started to learn everything HydePHP has to offer. The source code the HydePHP is also open-source and available on GitHub at hydephp/hyde.

---

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Category: Dev News

String manipulation in Laravel often involves replacing multiple placeholders with dynamic values. Laravel provides a powerful solution through the Str::replaceArray() method, making complex string replacements straightforward and efficient. Let's explore how this feature can enhance your string handling capabilities.

Understanding Str::replaceArray()

The Str::replaceArray() method, available in Laravel's string manipulation toolkit, enables sequential replacement of placeholders within a string using an array of values. This proves invaluable for dynamic text generation and content templating.

use Illuminate\Support\Str;

$message = 'Welcome to ?, your account number is ?';
$result = Str::replaceArray('?', ['Laravel', 'ACC-123'], $message);

echo $result; // Output: Welcome to Laravel, your account number is ACC-123

Str::replaceArray() example

Let's explore a practical scenario where we're generating personalized order confirmations in an e-commerce application:

<?php

namespace App\Http\Controllers;

use App\Models\Order;
use Illuminate\Support\Str;
use App\Notifications\OrderConfirmation;

class OrderController extends Controller
{
    public function sendConfirmation(Order $order)
    {
        $template = 'Dear ?, your order #? has been confirmed. Your ? items will be delivered to ? within ? business days.';
        
        $replacements = [
            $order->customer->name,
            $order->reference,
            $order->items->count(),
            $order->shipping_address,
            $order->delivery_estimate,
        ];
        $message = Str::replaceArray('?', $replacements, $template);
        // Send confirmation notification
        $order->customer->notify(new OrderConfirmation($message));

        return response()->json([
            'status' => 'success',
            'message' => 'Order confirmation sent'
        ]);
    }
}

In this implementation, we use Str::replaceArray() to create personalized order confirmations by replacing placeholders with actual order details. This ensures each customer receives accurate and personalized communication about their order.

---

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Category: Dev News

When working with substantial datasets in Laravel applications, sending all data at once can create performance bottlenecks and memory issues. Laravel offers an elegant solution through the streamJson method, enabling incremental JSON data streaming. This approach is ideal when you need to progressively deliver large datasets to the client in a JavaScript-friendly format.

Understanding streamJson()

The streamJson method, accessible via Laravel's response object, enables incremental JSON data streaming. This approach optimizes performance and memory efficiency when handling large datasets.

response()->streamJson(['data' => $yourDataset]);

Real-Life Example

Let's explore a practical example where we're managing a large inventory dataset with detailed product information and relationships.

Here's how we can implement this using streamJson:

<?php

namespace App\Http\Controllers;

use App\Models\Inventory;

class InventoryController extends Controller
{
    public function list()
    {
        return response()->streamJson([
            'inventory' => Inventory::with('supplier', 'variants')->cursor()->map(function ($item) {
                return [
                    'id' => $item->id,
                    'sku' => $item->sku,
                    'quantity' => $item->quantity,
                    'supplier' => $item->supplier->name,
                    'variants' => $item->variants->pluck('name'),
                ];
            }),
        ]);
    }
}

In this example, we're using eager loading for supplier and variants relationships to prevent N+1 query problems. The cursor() method ensures efficient iteration over the inventory items, while map() handles the formatting of each record during streaming.

Here's what the streamed output looks like:

{
    "inventory": [
        {
            "id": 1,
            "sku": "INV-001",
            "quantity": 150,
            "supplier": "Global Supplies Inc",
            "variants": ["red", "blue", "green"]
        },
        {
            "id": 2,
            "sku": "INV-002",
            "quantity": 75,
            "supplier": "Quality Goods Ltd",
            "variants": ["small", "medium"]
        },
        // ... additional inventory items stream as they're processed
    ]
}

The streamJson method enables your application to transmit data progressively, allowing the browser to begin processing and displaying results before receiving the complete dataset.

Using streamJson provides an efficient way to handle large datasets, delivering a smoother user experience through faster initial loading and progressive UI updates. This becomes particularly valuable when working with datasets too large for single-load operations.

---

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Category: Dev News

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Read more https://wordpress.com/blog/2024/11/27/black-friday-2024/