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Property Info Laravel Package

symfony/property-info

Symfony PropertyInfo extracts metadata about PHP class properties (types, visibility, accessors) from multiple sources like reflection, PHPDoc, and serializers. Useful for building API docs, forms, validation, and other tooling that needs reliable property details.

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Product Decisions This Supports

  • Build vs. Buy: Buy – Avoid reinventing metadata extraction for PHP classes. This package eliminates the need to build custom reflection logic for type inference, docblock parsing, or property accessor resolution.
  • Feature Expansion: Enable type-safe APIs in Laravel/PHP applications by leveraging metadata for:
    • Automatic form validation (e.g., Symfony Forms, Laravel Nova).
    • API request/response validation (e.g., OpenAPI/Swagger generation, JSON:API).
    • ORM/Query Builder optimizations (e.g., Eloquent, Doctrine) by inferring property types dynamically.
  • Roadmap Alignment:
    • PHP 8.4+ Compatibility: Future-proofs Laravel apps targeting newer PHP versions.
    • Performance: Reduces runtime reflection overhead by caching metadata (e.g., for high-traffic APIs).
    • Tooling Integration: Powers IDE autocompletion (PhpStorm, VSCode) and static analysis (PHPStan, Psalm).
  • Use Cases:
    • Dynamic Property Access: Safely handle is_*, has_*, or get_* accessors (e.g., User::isAdmin()bool).
    • Legacy Code Modernization: Infer types for pre-PHP 7.4 codebases lacking type hints.
    • Serialization/Deserialization: Auto-generate JSON/XML schemas (e.g., for GraphQL, gRPC).

When to Consider This Package

Adopt if:

  • Your Laravel app relies on runtime reflection (e.g., dynamic forms, APIs, or ORM queries) and needs type accuracy.
  • You’re using Symfony components (e.g., Forms, Validator, Messenger) or tools like API Platform that depend on property metadata.
  • Your team prioritizes developer experience (e.g., reducing manual @var annotations or phpdoc maintenance).
  • You need cross-tool compatibility (e.g., works with PHPStan, Psalm, and IDEs out of the box).

Look elsewhere if:

  • Your codebase is fully typed (PHP 7.4+ with strict mode) and uses modern reflection (e.g., ReflectionClass directly).
  • You’re building a low-level library where metadata extraction adds unnecessary complexity.
  • Your project explicitly avoids Symfony dependencies (though this is a standalone component).
  • You need runtime performance criticality (e.g., high-frequency microservices) and can’t tolerate metadata extraction overhead (benchmark first).

How to Pitch It (Stakeholders)

For Executives: "This package lets us automate type inference for PHP classes, cutting manual @var annotations by 80% and reducing bugs in dynamic APIs/forms. It’s battle-tested by Symfony (used in Laravel via bridges like symfony/property-access), so we get enterprise-grade reliability without reinventing the wheel. Think of it as ‘Laravel’s secret sauce’ for type safety—enabling faster development and fewer runtime errors."

For Engineers: *"Symfony’s property-info is a Swiss Army knife for PHP metadata:

  • For APIs: Auto-generate OpenAPI schemas from docblocks (no more manual YAML).
  • For ORMs: Dynamically resolve property types for Eloquent/Doctrine queries.
  • For Forms: Infer validation rules from class properties (e.g., @Assert\Email on user@example.com).
  • For Tooling: Powers IDE hints and static analyzers with zero config. It’s lightweight, extensible (supports custom extractors), and backward-compatible with legacy code. Start with a spike to validate use cases like API validation or form generation—low risk, high reward."

For Architects: *"This fills a critical gap in Laravel’s ecosystem by standardizing metadata extraction. It’s the foundation for:

  • Type-safe dynamic APIs (e.g., JSON:API, GraphQL).
  • Unified validation across forms, APIs, and business logic.
  • Reduced technical debt by centralizing property metadata. Dependencies are minimal (PHP 8.1+), and it plays well with existing tools like Symfony’s property-access or Laravel’s collective/html. Proposal: Pilot in the API layer first to measure impact on schema generation and validation."
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