README

A comprehensive Laravel package for analyzing JSON/CSV data structures and automatically generating database schemas, migrations, and Eloquent models. Streamline your development workflow by converting raw data into production-ready Laravel components.

🚀 Features

• Intelligent Data Analysis: Automatically analyze JSON and CSV data to determine optimal database column types
• Smart Type Detection: Context-aware type inference with intelligent type hierarchy (json > text > varchar > date > decimal > float > int)
• Database Structure Generation: Generate CREATE TABLE statements for MySQL and SQL Server
• Laravel Integration: Generate Laravel migrations and Eloquent models from raw data
• Type Compatibility: Intelligent type promotion and compatibility checking
• Azure Environment Support: Bidirectional conversion between Azure settings JSON and .env files
• Flexible Output: Support for various database types and output formats
• Production Ready: Comprehensive test coverage and static analysis

📋 Requirements

• PHP 8.1 or higher
• Laravel 9.0, 10.0, 11.0, or 12.0

📦 Installation

Install the package via Composer:

composer require dvrtech/schema-tools

The package will automatically register its service provider through Laravel's package auto-discovery.

🎯 Quick Start

Basic Usage

# Analyze data structure
php artisan schema-tools:analyze data.json

# Generate complete Laravel resources (migration + model)
php artisan schema-tools:generate data.json users User

Artisan Commands

The package provides several Artisan commands for different use cases:

Schema Analysis

# Analyze JSON file and display structure
php artisan schema-tools:analyze data.json

# Analyze CSV file with headers
php artisan schema-tools:analyze customers.csv

Migration Generation

# Generate migration from JSON data
php artisan schema-tools:migration data.json users

# Generate migration from CSV data
php artisan schema-tools:migration customers.csv customers

Model Generation

# Generate Eloquent model from JSON
php artisan schema-tools:model data.json User

# Generate model with custom table name
php artisan schema-tools:model data.json User --table=custom_users

Complete Resource Generation

# Generate both migration and model
php artisan schema-tools:generate data.json users User

# Generate with custom namespace
php artisan schema-tools:generate data.json users User --namespace=App\\Models\\Custom

Azure Environment Conversion

Convert between Azure settings JSON and Laravel .env files:

# Convert Azure settings JSON to .env file
php artisan azure-env:convert azure-to-env --azure-file=azure-settings.json --env-file=.env

# Convert .env file to Azure settings JSON
php artisan azure-env:convert env-to-azure --env-file=.env --azure-file=azure-settings.json

⚙️ Configuration

Publish the configuration file to customize default settings:

php artisan vendor:publish --provider="DVRTech\SchemaTools\SchemaToolsServiceProvider"

The configuration file (config/schema-tools.php) allows you to customize:

• Export Paths: Default locations for generated migrations and models
• Type Mappings: Custom database type mappings
• Naming Conventions: File and class naming patterns

Default Configuration

return [
    'export_paths' => [
        'migrations' => 'database/migrations',
        'models' => 'app/Models',
    ],
];

🧪 Testing

Run the test suite:

# Run all tests
composer test

# Run tests with coverage
./vendor/bin/phpunit --coverage-html coverage-report

# Run static analysis
./vendor/bin/phpstan

🔧 Advanced Usage

Programmatic API

Basic Schema Analysis

use DVRTech\SchemaTools\Services\SchemaAnalyzer;

$analyzer = new SchemaAnalyzer();

// Analyze JSON data
$jsonData = json_decode(file_get_contents('data.json'), true);
$structure = $analyzer->analyzeDataStructure($jsonData);

// Inspect column information
foreach ($structure as $columnName => $columnDto) {
    echo "Column: {$columnName}\n";
    echo "Type: {$columnDto->type}\n";
    echo "SQL Definition: {$columnDto->getSqlDefinition()}\n";
    echo "Laravel Definition: {$columnDto->getLaravelMigrationDefinition()}\n\n";
}

Generate Raw SQL Schema

use DVRTech\SchemaTools\Services\DatabaseSchemaGenerator;

$generator = new DatabaseSchemaGenerator();

// Generate CREATE TABLE SQL
$createSQL = $generator->generateCreateTableSQL('users', $structure);
echo $createSQL;

// Output example:
// CREATE TABLE users (
//     id INT AUTO_INCREMENT PRIMARY KEY,
//     name VARCHAR(255) NOT NULL,
//     email VARCHAR(255) NOT NULL,
//     age INT,
//     created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
// );

Generate Laravel Migration

use DVRTech\SchemaTools\Generators\MigrationGenerator;

$migrationGenerator = new MigrationGenerator();
$migration = $migrationGenerator->generateMigration('users', $structure);

// Save to migration file
$filename = date('Y_m_d_His') . '_create_users_table.php';
file_put_contents(
    database_path('migrations/' . $filename),
    $migration
);

Generate Eloquent Model

use DVRTech\SchemaTools\Generators\ModelGenerator;

$modelGenerator = new ModelGenerator();
$model = $modelGenerator->generateModel('User', 'users', $structure);

// Save to model file
file_put_contents(app_path('Models/User.php'), $model);

Type Detection Logic

The package uses intelligent type detection with the following hierarchy:

1. JSON/Arrays: Complex data structures → json column type
2. Text: Long strings (>255 chars) → text column type
3. VARCHAR: Short strings with dynamic length calculation → varchar(n)
4. Dates: Pattern-matched date strings → date/datetime
5. Decimal: Context-aware numeric detection (price, amount) → decimal(8,2)
6. Float: Decimal numbers → float
7. Integer: Whole numbers → int

Context-Aware Type Detection

The analyzer uses column name context to make intelligent type decisions:

// These column names will automatically use decimal type
$priceColumns = ['price', 'amount', 'cost', 'fee', 'total', 'subtotal'];

// These will use appropriate string lengths
$emailColumns = ['email']; // varchar(255)
$nameColumns = ['name', 'title']; // varchar(255)

📊 Data Format Support

JSON Files

Supports both single objects and arrays:

// Single object
{
    "name": "John Doe",
    "email": "john@example.com",
    "age": 30
}

// Array of objects
[
    {"name": "John", "email": "john@example.com", "age": 30},
    {"name": "Jane", "email": "jane@example.com", "age": 25}
]

CSV Files

Automatically detects headers and analyzes data types:

name,email,age,registration_date
John Doe,john@example.com,30,2024-01-15
Jane Smith,jane@example.com,25,2024-01-16

🔄 Azure Integration

Environment File Conversion

Convert between Azure App Service configuration and Laravel .env files:

# Azure settings JSON format
{
    "DATABASE_URL": "mysql://user:pass@host:3306/db",
    "APP_ENV": "production",
    "APP_DEBUG": "false"
}

# Converts to .env format
DATABASE_URL=mysql://user:pass@host:3306/db
APP_ENV=production
APP_DEBUG=false

🏗️ Architecture Overview

The package follows a clean architecture pattern:

• Services Layer: Core business logic (SchemaAnalyzer, DatabaseSchemaGenerator)
• Generators Layer: Code generation (MigrationGenerator, ModelGenerator)
• DTO Pattern: Structured data representation (ColumnStructureDTO)
• Console Commands: Artisan command interface
• Template System: File-based code generation templates

🤝 Contributing

We welcome contributions! Please follow these guidelines:

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Follow coding standards: Use PSR-12 coding standards
4. Add tests: Ensure your changes are covered by tests
5. Run quality checks:

   ./vendor/bin/phpunit
   ./vendor/bin/phpstan

6. Commit your changes: Use conventional commit messages
7. Push to the branch: git push origin feature/amazing-feature
8. Open a Pull Request

Development Setup

# Clone the repository
git clone https://github.com/dvrtech-us/laravel-schema-tools.git
cd laravel-schema-tools

# Install dependencies
composer install

# Run tests
./vendor/bin/phpunit

# Run static analysis
./vendor/bin/phpstan

📝 Changelog

Please see CHANGELOG for more information on what has changed recently.

🛡️ Security

If you discover any security-related issues, please email dev-info@dvrtech.us instead of using the issue tracker.

📄 License

The MIT License (MIT). Please see License File for more information.

💼 About DVRTech

This package is developed and maintained by DVRTech LLC.

🙏 Credits

• DVRTech LLC - Initial development and maintenance
• Laravel Community - Inspiration and framework
• All Contributors - Thank you for your contributions!

Made with ❤️ by DVRTech