- What is kachkaev/php-r and what can I use it for in Laravel?
- PHP-R is a lightweight bridge that lets PHP code execute R expressions and scripts, capture the output, and surface execution errors. In a Laravel app it fits reporting helpers, internal dashboards, statistical modeling, exploratory analysis, and lightweight ETL where you want R's computation without leaving PHP. It should sit behind a service or helper layer rather than being called directly from controllers or models.
- How do I install kachkaev/php-r with Composer?
- Install it with composer require kachkaev/php-r and commit the lockfile, pinning an exact version. The package is MIT-licensed and has no heavy dependency tree, but it expects a local R installation that PHP can invoke. Confirm Rscript is on the PATH or configurable, then run a smoke test that executes a trivial R expression and checks the captured output.
- Does kachkaev/php-r work with Laravel 10 and Laravel 11?
- The package contains no Laravel-specific code, so it is not tied to a particular Laravel release; the real gate is the PHP runtime your Laravel version uses. It has been archived since 2017 and was likely authored against PHP 5.x or 7.0-7.1, so Laravel 10 or 11 on PHP 8.1+ requires a time-boxed compatibility spike. Verify the package's test suite and check for deprecation warnings under E_ALL before adopting it.
- Is kachkaev/php-r compatible with PHP 8?
- Read the require.php constraint in the package's composer.json first, because the 2017 vintage suggests it targets PHP 5.x and early 7.x. PHP 8 tightened arithmetic, typing, and several idioms, so the package may emit warnings, fail edge cases, or break its own tests. Run a 1-2 day spike on your exact target runtime and confirm PSR-4 autoloading plus no global function or constant pollution.
- How do I run an R script from PHP and get the output?
- Use the package API to evaluate an R expression or script, then read the captured output and check for a non-zero exit or R error before using the result. Make sure the R installation is available to the PHP process and that stderr is inspected, not just stdout. Wrap the call in a service class so failures are contained to the calling feature.
- How do I pass data between PHP and R with php-r?
- The bridge is string-oriented, so data is typically passed by generating R expressions or by writing and reading serialized files such as CSV or JSON. Escape values carefully to avoid broken R code or injection-style bugs, and validate types and lengths before sending them. Keep the interchange format simple and test round-trips with empty and malformed input.
- Is kachkaev/php-r maintained and safe for production?
- Treat it as an optional analytics utility rather than a platform dependency. It has been archived since 2017, so there are no upstream fixes, security patches, or issue triage, and the bus factor is effectively zero. The blast radius is low because it performs computation rather than network or persistence work, but isolate it behind an interface and keep a fallback in case it fails on your runtime.
- How should I integrate php-r into a Laravel service class?
- Define a small internal interface that expresses only the operations you need, such as running a script or computing an aggregate, and implement it with an adapter that uses php-r. Bind that adapter in Laravel's service container so it can be mocked and replaced. The rest of the codebase should never import the package directly, and controllers and models should not sprinkle R calls through the app.
- How do I test Laravel code that uses kachkaev/php-r?
- Unit-test against your internal interface with a fake implementation that returns fixed output, so tests do not require R. Keep a native-PHP reference implementation to validate outputs and as a swap-in fallback. Add a small number of integration tests that verify the local R installation, error propagation, and edge cases such as empty input or an R failure.
- What are alternatives to kachkaev/php-r, and can I fork it?
- Alternatives include shelling out to Rscript through Symfony Process, running R in a separate service or queue job, or using native PHP statistics for simple cases. Because the package is MIT-licensed, you can vendor or fork it, retain the copyright notice, add CI on supported PHP versions, and own it explicitly. If policy forbids unmaintained code, choose the fallback instead.