- How does cmath10/mapper compare to Laravel’s built-in `collect()` or `array_map()` for data transformation?
- This package is designed for complex, reusable mappings between arrays and objects, unlike `collect()` or `array_map()`, which are one-off transformations. It enforces configurable field rules (e.g., renaming keys, type casting) and works well for DTOs or API responses, while native methods require manual loops or closures for repetitive tasks.
- Can I use cmath10/mapper with Laravel Eloquent models to transform database records into DTOs?
- Yes, the package is ideal for Eloquent models. You can define mappings to convert model attributes into DTOs or API responses with custom field names, value casting, or nested object structures. It integrates cleanly with Laravel’s service layer to decouple data access from business logic.
- What Laravel versions and PHP versions does cmath10/mapper support?
- The package likely targets Laravel 8.1+ and PHP 8.0+ (check the `composer.json` for exact requirements). If your project uses older versions, test thoroughly for compatibility, as reflection-based mapping may behave differently in older PHP versions.
- How do I define custom field mappings (e.g., renaming keys, casting values) in cmath10/mapper?
- Mappings are typically defined via configuration arrays or classes, specifying source and destination fields, value transformations (e.g., `date: 'Y-m-d'`, `cast: 'int'`), and nested object mappings. The package should support both inline definitions and reusable mapping classes for complex scenarios.
- Does cmath10/mapper handle nested arrays or circular references in data?
- The package may support nested mappings (e.g., `user.address` → `address` object), but circular references (e.g., self-referential objects) could cause infinite loops unless explicitly handled. Test with your data structure to ensure stability, or use Laravel’s `collect()` as a fallback for edge cases.
- Will cmath10/mapper work with Laravel API Resources or Spatie’s `laravel-data` package?
- It should integrate well with API Resources by replacing manual `toArray()` logic with configurable mappings. For `laravel-data`, evaluate whether the package’s approach overlaps or complements Spatie’s data transfer objects. Avoid mixing both unless they’re designed to coexist.
- How do I handle missing or null values during mapping?
- The package likely provides options to ignore missing fields, set defaults, or throw exceptions. Configure this behavior per mapping rule (e.g., `ignore_missing: true` or `default: null`). For strict validation, pair it with Laravel’s Form Requests or custom validation logic.
- Is cmath10/mapper suitable for high-performance applications (e.g., bulk API responses)?
- Reflection-based mapping can introduce overhead, so benchmark with large datasets (e.g., 1,000+ records). For performance-critical paths, consider caching mappings or using native `collect()` for simple transformations. The package may not be ideal for real-time systems where latency is a concern.
- Are there alternatives to cmath10/mapper for Laravel data mapping?
- For lightweight needs, use Laravel’s `collect()` or `array_map()`. For complex projects, evaluate Symfony Serializer, Doctrine Hydrator, or Spatie’s `laravel-data`. If you’re already using API Platform or GraphQL (Lighthouse), check their built-in mapping tools to avoid redundancy.
- How can I test cmath10/mapper in a Laravel project before full adoption?
- Start by mapping a single module (e.g., User or Product) and compare performance/memory usage against manual transformations. Use Laravel’s testing tools to verify edge cases (e.g., null values, nested data). Gradually replace custom `toArray()` methods in models or API Resources with the package’s mappings.