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Rest Request Validator Bundle Laravel Package

coka/rest-request-validator-bundle

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Product Decisions This Supports

  • API Quality & Developer Experience (DX):

    • Standardize request validation across REST endpoints, reducing inconsistencies in data handling.
    • Enable faster onboarding for backend developers by abstracting validation logic into reusable, declarative rules.
    • Align with API-first strategies by ensuring input validation is consistent with API contracts (e.g., OpenAPI/Swagger specs).
  • Roadmap Priorities:

    • Build vs. Buy: Justify adopting this bundle over custom validation logic (e.g., manual Symfony validators) if the team lacks validation expertise or needs rapid iteration.
    • Scalability: Centralize validation rules to simplify updates across microservices or monolithic APIs.
    • Compliance: Enforce data quality for regulatory requirements (e.g., GDPR, PCI-DSS) by validating inputs early in the request lifecycle.
  • Use Cases:

    • Public APIs: Validate third-party requests (e.g., mobile apps, partner integrations) to reject malformed data before processing.
    • Internal Services: Ensure consistency in data formats between services (e.g., event payloads, RPC calls).
    • Legacy System Modernization: Retrofit validation to older APIs lacking input sanitization.

When to Consider This Package

  • Adopt if:

    • Your Laravel/PHP API relies on Symfony components (e.g., Symfony Validator) and needs declarative validation rules tied to REST endpoints.
    • You prioritize developer velocity over custom validation logic, especially for teams with limited backend expertise.
    • Your API contracts (e.g., OpenAPI) require strict input validation but lack tooling to enforce them.
    • You’re building a new API or refactoring an existing one to standardize validation patterns.
  • Look elsewhere if:

    • Your stack is non-Laravel/Symfony (e.g., Node.js, Go, or custom PHP frameworks).
    • You need advanced validation (e.g., machine learning-based anomaly detection) beyond schema rules.
    • The package’s maturity is a concern (low stars, no dependents, minimal documentation).
    • Your team prefers runtime validation (e.g., Pydantic for Python) over compile-time or annotation-based approaches.
    • You require real-time validation (e.g., WebSocket messages) or graphQL-specific validation.

How to Pitch It (Stakeholders)

For Executives: "This bundle lets us enforce high-quality data standards across our APIs with minimal engineering overhead. By standardizing validation rules, we’ll reduce bugs from malformed inputs, improve developer productivity, and align with our API-first roadmap. The MIT license and Symfony integration make it a low-risk choice for our Laravel stack."

For Engineering: *"This package replaces ad-hoc validation logic with a declarative, reusable system for REST inputs. Key benefits:

  • Consistency: Define validation rules once (e.g., per endpoint or globally) and reuse them.
  • Speed: Skip writing repetitive Symfony validators for common cases (e.g., required fields, type checks).
  • Maintainability: Update rules centrally—changes propagate across all endpoints.
  • Compatibility: Works seamlessly with Laravel/Symfony’s existing validation ecosystem.

Tradeoff: Low adoption (2 stars), but the core concept is battle-tested in Symfony. We’d need to vet its fit for our use cases, but the payoff for API quality is clear."*

For Developers: *"Imagine writing this instead of manual validators:

// Instead of:
$validator = $this->get('validator');
$errors = $validator->validate($request->getData(), [
    new Assert\NotBlank(),
    new Assert\Type('array'),
]);

// You’d use:
#[Oka\RestRequestValidator(
    rules: [
        'name' => 'required|string|max:255',
        'email' => 'required|email',
    ],
    groups: ['Default']
)]
public function create(Request $request) { ... }

Less boilerplate, more clarity. Perfect for APIs where input quality matters."*

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