- How do I install `langleyfoxall/math_eval` in a Laravel project?
- Run `composer require langleyfoxall/math_eval` in your project root. No additional Laravel-specific setup is required, though you may want to wrap the function in a service class for better organization. The package works with Laravel 5.5+ and PHP 7.1+.
- Can I use this package to evaluate user-submitted math expressions safely?
- Yes, the package avoids `eval()` and uses a sandboxed parser, but you should still validate input to restrict allowed functions/operators. Whitelist expressions or use Laravel’s `Validator` to sanitize before evaluation. Avoid recursive functions or overly complex expressions to prevent memory exhaustion.
- Does `math_eval` support advanced functions like `sin()`, `log()`, or custom variables?
- It supports basic math functions (e.g., `sqrt()`, `pow()`) and variables passed as an associative array. For advanced functions, check the [README](https://github.com/langleyfoxall/math_eval) for supported operations. If you need more, consider alternatives like `league/math` or `symfony/math`.
- Is this package compatible with Laravel 9/10 and PHP 8.x?
- The package officially supports PHP 7.1+, but the latest release (v2.1.0) only updates dev dependencies. Test thoroughly on PHP 8.1+ to confirm compatibility, especially if using newer Laravel features. No native Laravel 9/10 integrations exist, so manual setup is required.
- How do I handle errors if a math expression is invalid or malformed?
- The package throws exceptions for invalid syntax or unsupported operations. Wrap calls in a `try-catch` block to handle errors gracefully. Log failed expressions for debugging, and consider adding custom validation rules in Laravel’s `Validator` to reject unsafe input before evaluation.
- What are the performance implications of using `math_eval` for high-volume calculations?
- This is a pure PHP implementation, so performance may lag for heavy workloads. Benchmark against alternatives like `php-math` or `symfony/math` if throughput is critical. Cache frequent expressions or precompute results where possible to mitigate overhead.
- Are there any security risks I should be aware of when using user input?
- While the package avoids `eval()`, edge cases like deeply nested expressions or malicious input could still cause issues (e.g., memory exhaustion). Restrict allowed functions/variables, set `ini_set('max_execution_time', 1)` for safety, and avoid enabling unsupported operations. Always validate input before evaluation.
- How does `math_eval` compare to alternatives like `symfony/math` or `league/math`?
- `math_eval` is lightweight and simple, ideal for basic arithmetic and user-defined formulas. Alternatives like `symfony/math` or `league/math` offer more features (e.g., matrix operations, PHP 8.x optimizations) and active maintenance. Choose based on your needs: simplicity vs. extensibility.
- Can I integrate `math_eval` into Laravel’s service container or facades?
- Yes, manually bind the `math_eval` function to Laravel’s service container using `app()->bind()` or create a facade for cleaner syntax. Example: `Facade::eval('2 + 2')`. This improves reusability and testing, especially in larger applications.
- Is the package actively maintained? Should I fork it for long-term use?
- The last functional release was in 2019, with v2.1.0 (2023) only updating dev dependencies. No core maintenance activity exists, so fork immediately if you need security fixes or PHP 8.x+ support. Monitor for compatibility issues, especially with newer Laravel versions.