Laravel Computed Attributes Laravel Package

Technical Evaluation

Architecture Fit

• Elquent-Centric Design: Perfectly aligns with Laravel’s Eloquent ORM, leveraging accessors/mutators for computed logic while persisting results to the database. Avoids reinventing wheel for common patterns (e.g., caching, dirty checks).
• Materialized Views Alternative: Acts as a lightweight, application-layer alternative to database-level computed columns (e.g., MySQL’s GENERATED ALWAYS AS), with the flexibility to handle complex PHP logic (e.g., API calls, conditional logic).
• Event-Driven Integration: Seamlessly integrates with Laravel’s model events (updating, saved, etc.), enabling fine-grained control over recomputation triggers.
• Hybrid Workflows: Supports both real-time (cached) and on-demand (uncached) computations, with explicit control via cache flag or recompute() calls.

Integration Feasibility

• Minimal Boilerplate: Requires only:
  1. Composer install.
  2. Configuration publish (artisan vendor:publish).
  3. Model trait usage (use HasComputedAttributes).
  4. Attribute definition in $computedAttributes.
• Backward Compatibility: Supports Laravel 10–13 (with explicit versioning) and PHP 8.1–8.3, reducing migration risk.
• Database Agnostic: Works with any Laravel-supported database (MySQL, PostgreSQL, SQLite), though performance may vary for non-MySQL (e.g., PostgreSQL’s JSONB support for StoresComputedAttributesInJson).
• Testing Support: Includes unit tests and Artisan commands (computed-attributes:validate) for validation, easing adoption in CI/CD pipelines.

Technical Risk

• Schema Changes: Adds new columns to tables (one per computed attribute), requiring migrations. Risk mitigated by:
  • Default nullable columns (backward-compatible).
  • Artisan command to validate existing data (artisan computed-attributes:validate).
• Performance Overhead:
  • Write Path: Computations run on save(), adding latency. Mitigate with:
    • skip_on_create flag for non-critical attributes.
    • Queue jobs for expensive computations (e.g., API calls).
  • Read Path: Cached values reduce queries, but stale data risk exists. Mitigate with:
    • Explicit invalidateComputedAttribute() calls.
    • Short TTLs for volatile data.
• Complexity Sprawl:
  • Debugging: Computed attributes can obscure data lineage. Mitigate with:
    • Logging hooks (ComputedAttributes::computing()).
    • isComputedAttributeCached() checks.
  • Infinite Loops: Circular dependencies between computed attributes. Mitigate with:
    • cache: false for dependent attributes.
    • Static analysis (PHPStan) to detect patterns.
• Long-Term Maintenance:
  • Vendor Lock-in: Minimal (MIT license, open-source). Risk of package abandonment is low given active releases (2026-05-11) and CI/CD integration.
  • Laravel Versioning: Tight coupling to Laravel versions (e.g., v3.x requires Laravel 10+). Risk mitigated by:
    • Clear versioning strategy (e.g., v2.x for older Laravel).
    • Compatibility matrix in README.

Key Questions

1. Data Consistency:
   • How will we handle cases where computed attributes depend on external systems (e.g., APIs, microservices)? Will we use cache: false or queue jobs?
   • Example: user_reputation_score fetched from a third-party service.
2. Schema Management:
   • Should computed attributes be optional columns (nullable) or required? How will we handle backfilling during migration?
3. Performance Tradeoffs:
   • For high-write workloads (e.g., 10K+ updates/hour), will the overhead of recomputing on save() be acceptable? If not, should we explore:
     • Database triggers (e.g., MySQL BEFORE UPDATE).
     • Event-driven architectures (e.g., Laravel Horizon queues).
4. Testing Strategy:
   • How will we test computed attributes in CI/CD? Will we use the computed-attributes:validate command or custom assertions?
   • Example: Verify order_total matches subtotal + tax after updates.
5. Monitoring:
   • Should we track computation latency or cache hit ratios in production? Tools like Laravel Telescope or Prometheus could help.
6. Fallbacks:
   • What’s the plan if the computation fails (e.g., API timeout)? Will we:
     • Store the error in the computed column?
     • Use a null value with a fallback logic?
7. Team Adoption:
   • How will we document computed attributes for future developers? Suggestions:
     • Add a @computed PHPDoc tag to models.
     • Include examples in the README for common use cases (e.g., pricing, analytics).
8. Alternatives:
   • For read-heavy workloads, would database-level computed columns (e.g., PostgreSQL GENERATED) be more performant?
   • For event-sourced systems, would a CQRS approach (e.g., Laravel Scout) be better?

Integration Approach

Stack Fit

• Laravel Ecosystem: Native support for Laravel 10–13, PHP 8.1–8.3, and Eloquent. Integrates with:
  • Artisan: Commands for validation/generation (computed-attributes:validate).
  • Events: Hooks into updating, saved, etc.
  • Testing: Mockable computations for unit/feature tests.
  • CI/CD: GitHub Actions with PHPStan for static analysis.
• Database Compatibility:
  • MySQL/PostgreSQL: Full support (with JSONB for StoresComputedAttributesInJson).
  • SQLite: Limited (no computed columns; relies on PHP logic).
• Tooling:
  • IDE Support: PHPDoc types and IDE hints for computed attributes.
  • Debugging: Logging hooks and isDirty() checks for debugging.

Migration Path

1. Assessment Phase:
   • Audit existing models to identify candidates for computed attributes (e.g., derived fields, aggregations).
   • Example: Replace manual order_total = subtotal + tax logic in controllers with a computed attribute.
2. Pilot Phase:
   • Start with non-critical models (e.g., analytics dashboards, reporting tables).
   • Use cache: false initially to validate logic before enabling persistence.
3. Incremental Rollout:
   • Step 1: Add computed attributes to models without migrations (use nullable columns).
   • Step 2: Backfill existing data using artisan computed-attributes:validate or a custom seeder.
   • Step 3: Enable caching and optimize TTLs based on access patterns.
4. Deprecation:
   • Phase out manual computed logic (e.g., controller calculations) in favor of the package.
   • Example: Remove OrderController@calculateTotal() if order_total is now a computed attribute.

Compatibility

• Existing Code:
  • Accessors/Mutators: Computed attributes override existing accessors. Use recomputeComputedAttribute() to force updates.
  • Fillable/Mass Assignment: Computed attributes can be included in $fillable but require explicit handling to avoid infinite loops.
  • Serializers (e.g., Laravel API Resources): Ensure computed attributes are included in $appends or explicitly added.
• Third-Party Packages:
  • Laravel Scout: Computed attributes can be indexed if marked as appends.
  • Laravel Nova: Requires custom field definitions to display computed attributes.
  • Eloquent Relationships: Computed attributes work across relationships (e.g., user.order.total).

Sequencing

1. Prerequisites:
   • Laravel 10+ (recommended: 13 for full feature support).
   • PHP 8.1+ (8.3 for type safety).
   • Composer and Node.js (for CI/CD tools like PHPStan).
2. Installation Order:

   composer require korridor/laravel-computed-attributes
   php artisan vendor:publish --provider="Korridor\ComputedAttributes\ComputedAttributesServiceProvider" --tag="config"
   

3. Configuration:
   • Adjust config/computed-attributes.php (e.g., default TTL, storage engine).
   • Example: Set default_cache_ttl to 3600 for frequently accessed attributes.
4. Model Integration:
   • Add use HasComputedAttributes to target models.
   • Define $computedAttributes array (start with 1–2 attributes per model).
5. Testing:
   • Write unit tests for computations (mock dependencies).
   • Run artisan computed-attributes:validate to check existing data.
6. Deployment:
   • Roll out in stages (e.g., start with read-only attributes).
   • Monitor performance (