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Assert Laravel Package

beberlei/assert

Lightweight assertion library for validating method arguments and input data in PHP. Provides a fluent, readable API with many built-in rules (string, numeric, email, UUID, collection, etc.), clear exceptions, and easy extensibility for custom constraints.

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Technical Evaluation

Architecture Fit

  • Low-level validation layer: The package excels as a pre-condition/post-condition validation layer in Laravel applications, particularly for business logic validation (e.g., domain models, service methods, or API request payloads). Its lightweight, non-object-oriented design avoids the overhead of Symfony/Zend validators, making it ideal for performance-critical paths (e.g., bulk operations, real-time validations).
  • Complementary to Laravel’s built-in validation: While Laravel’s Validator is suited for HTTP request validation (with rich features like localization and rule chaining), beberlei/assert fills gaps for:
    • Non-HTTP validation (e.g., internal service contracts, CLI commands, or queue jobs).
    • Fine-grained type/value checks (e.g., Assertion::e164(), Assertion::uuid()) not natively supported in Laravel’s validator.
    • Fluent assertions for complex validation logic (e.g., Assert::that()->integer()->between()).
  • Domain-driven design (DDD) alignment: Perfect for ubiquitous language validation in domain models (e.g., ensuring Order::total() is a positive number).

Integration Feasibility

  • Seamless Laravel integration:
    • Can be used standalone (e.g., in service methods) or wrapped in Laravel-specific helpers (e.g., a Validator facade extension).
    • Works with Laravel’s exception handling (e.g., converting AssertionFailedException to HttpResponse in API controllers).
    • Compatible with Laravel’s container (bind Assert\Assertion as a singleton if needed).
  • Database/ORM integration:
    • Useful for model events (e.g., creating, updating) to validate attributes before persistence.
    • Can replace manual if checks in Eloquent accessors/mutators (e.g., setTotalAttribute()).
  • API/HTTP layer:
    • Can validate request payloads alongside Laravel’s Validator (e.g., for non-standard formats like UUIDs or E.164 numbers).
    • Lazy assertions are ideal for collecting all validation errors in API responses (similar to Laravel’s Validator::fails() but with richer error messages).

Technical Risk

  • No active maintenance: Last release in 2026 (future-proofing assumption; verify in production). Risk mitigated by:
    • Stable API: No breaking changes in 5+ years (check releases).
    • Forkability: Easy to extend (e.g., subclass Assertion for custom exceptions).
  • Performance tradeoffs:
    • Pros: Faster than Symfony/Zend validators (no object instantiation).
    • Cons: No built-in caching for repeated assertions (e.g., validating the same UUID multiple times). Mitigate by:
      • Using lazy assertions for batch validation.
      • Caching results in service layer if needed.
  • Error handling:
    • AssertionFailedException is SPL-compatible but may require custom mapping to Laravel’s ValidationException for consistency.
    • Lazy assertions require explicit verifyNow() calls, which could be forgotten in async contexts (e.g., queues). Mitigate with:
      • Wrapper methods (e.g., Assert::lazyVerify()).
      • Testing to ensure verifyNow() is called in all code paths.

Key Questions

  1. Validation scope:
    • Will this replace Laravel’s Validator entirely, or supplement it? (Recommend: hybrid approach—use Laravel’s validator for HTTP, beberlei/assert for business logic.)
  2. Error consistency:
    • How will AssertionFailedException messages map to Laravel’s ValidationException format? (Solution: Create a custom exception formatter.)
  3. Testing strategy:
    • How will assertions be tested? (Recommend: Unit tests for business logic + feature tests for API validation.)
  4. Performance impact:
    • Are there hot paths where assertions could bottleneck? (Solution: Benchmark and optimize with lazy assertions or caching.)
  5. Maintenance plan:
    • Who will monitor for updates/fork if the package stagnates? (Solution: Internal fork with backported fixes.)

Integration Approach

Stack Fit

  • Laravel ecosystem compatibility:
    • PHP 8.1+: Package supports modern PHP features (e.g., named arguments, union types).
    • Composer: Zero-config installation (composer require beberlei/assert).
    • PSR standards: Follows PSR-1/PSR-4, integrating cleanly with Laravel’s autoloader.
  • Tooling integration:
    • IDE support: Static analysis tools (PHPStan, Psalm) can leverage assertions for type narrowing.
    • Testing: Works with PHPUnit (assertions can be used in test doubles).
    • Dependency injection: Can be manually instantiated or bound in Laravel’s container:
      $this->app->singleton(Assertion::class, fn() => new Assertion());
      

Migration Path

  1. Phase 1: Pilot in business logic
    • Replace manual if checks in services/repositories with assertions.
    • Example:
      // Before
      if (!is_numeric($value)) {
          throw new \InvalidArgumentException("Value must be numeric");
      }
      
      // After
      Assertion::numeric($value, "Value must be numeric");
      
  2. Phase 2: API validation layer
    • Use lazy assertions to validate request payloads alongside Laravel’s Validator.
    • Example:
      public function store(Request $request) {
          $validator = Assert::lazy();
          $validator->that($request->input('email'))->email();
          $validator->that($request->input('phone'))->e164();
          $validator->verifyNow(); // Throws LazyAssertionException on failure
      }
      
  3. Phase 3: Model-level validation
    • Replace Eloquent accessors/mutators with assertions:
      protected function setTotalAttribute($value) {
          Assertion::greaterThan($value, 0, "Total must be positive");
          $this->attributes['total'] = $value;
      }
      
  4. Phase 4: CLI/Queue jobs
    • Validate job payloads or command arguments:
      public function handle() {
          Assertion::uuid($this->job->data['user_id']);
          // ...
      }
      

Compatibility

  • Laravel-specific considerations:
    • Exception handling: Override AssertionFailedException to extend Laravel’s HttpResponseException for APIs:
      use Assert\AssertionFailedException as BaseException;
      
      class AssertionFailedException extends BaseException implements \Symfony\Component\HttpKernel\Exception\HttpExceptionInterface {
          public function toArray() {
              return ['error' => $this->getMessage()];
          }
      }
      
    • Form requests: Integrate with Laravel’s FormRequest validation:
      public function rules() {
          return ['email' => 'required|email'];
      }
      
      public function withValidator($validator) {
          $validator->after(function ($validator) {
              Assertion::e164($this->input('phone'));
          });
      }
      
  • Third-party packages:
    • Works with API platforms (e.g., Lumen, Octane) and testing tools (e.g., PestPHP).
    • No conflicts with Laravel’s Validator (they serve different purposes).

Sequencing

  1. Prerequisites:
    • Ensure PHP 8.1+ (for named arguments, if used).
    • Add to composer.json:
      "require": {
          "beberlei/assert": "^3.0"
      }
      
  2. Order of adoption:
    • Start with internal services (lowest risk).
    • Gradually introduce in APIs (higher risk due to error format changes).
    • Avoid mixing with Laravel’s validator in the same request (use one or the other per layer).
  3. Rollback plan:
    • Assertions are opt-in, so rollback is trivial (remove assertion calls).
    • For APIs, ensure AssertionFailedException maps to a user-friendly response.

Operational Impact

Maintenance

  • Pros:
    • Reduced boilerplate: Eliminates repetitive if checks.
    • Centralized validation logic: Easier to update rules (e.g., change minLength in one place).
    • Self-documenting: Assertions clarify preconditions in code.
  • Cons:
    • New dependency: Requires monitoring for updates (though risk is low given stability).
    • Custom exception handling: May need maintenance to keep error formats consistent.
  • Best practices:
    • **
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