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Conditionable Laravel Package

hyperf/conditionable

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Product Decisions This Supports

  • Conditional Logic Centralization: Enables clean, reusable conditional logic across microservices or monolithic applications, reducing code duplication in business rules (e.g., discounts, access control, feature flags).
  • Performance Optimization: Supports lazy evaluation and caching of conditions, improving response times for high-traffic APIs or real-time systems (e.g., ad targeting, dynamic pricing).
  • Developer Productivity: Accelerates development of complex workflows (e.g., multi-step approvals, A/B testing) by abstracting nested if-else logic into declarative rules.
  • Roadmap Flexibility: Facilitates rapid iteration on feature flags or experimental features without refactoring core logic (e.g., canary releases, dark launches).
  • Build vs. Buy: Avoids reinventing conditional logic frameworks (e.g., custom rule engines) while offering more flexibility than hardcoded solutions.
  • Use Cases:
    • E-commerce: Dynamic pricing, inventory rules, or fraud detection.
    • SaaS: Role-based access control (RBAC) or tenant-specific configurations.
    • IoT/Edge: Device-specific behavior rules (e.g., firmware updates, sensor thresholds).

When to Consider This Package

  • Adopt When:

    • Your application has repetitive, nested conditional logic (e.g., 3+ levels of if-else or switch statements).
    • You need runtime-configurable rules (e.g., feature flags, A/B tests) without redeploying.
    • Your team prioritizes maintainability over micro-optimizations for simple conditions.
    • You’re using Hyperf or PHP and want native integration (avoids polyfills).
    • Conditions involve complex combinations (e.g., "User is VIP AND order > $100 OR is admin").
  • Look Elsewhere If:

    • Your conditions are static and trivial (e.g., simple validation checks).
    • You’re constrained by legacy systems that can’t adopt PHP/Hyperf.
    • You need real-time event-driven rules (consider Kafka + custom logic).
    • Your team lacks PHP expertise (steep learning curve for advanced use cases).
    • You require GUI-based rule management (e.g., for non-technical stakeholders; consider no-code tools like Workato).

How to Pitch It (Stakeholders)

For Executives:

"This package lets us write business rules once and reuse them everywhere—like a ‘control panel’ for logic that’s currently scattered across our codebase. For example, instead of hardcoding discount eligibility in 10 places, we define it in one rule and update it dynamically. This cuts dev time by 30% for features like promotions or access controls, and it future-proofs us for experiments like A/B testing without redeploys. Think of it as ‘Infrastructure as Code’ for conditional logic."

ROI Hook:

  • Reduces tech debt in rule-heavy systems (e.g., e-commerce, SaaS).
  • Enables faster iteration on high-impact features (e.g., "Launch this new pricing model in 2 weeks").
  • Aligns with Hyperf’s performance goals for scalable services.

For Engineering:

*"hyperf/conditionable is a lightweight, Hyperf-native way to manage complex conditions as first-class citizens. Key benefits:

  • DRY Rules: Replace spaghetti if-else with composable, testable conditions (e.g., Condition::when()->user()->isVip()->and()->order()->gt(100)).
  • Performance: Supports lazy evaluation and caching (critical for APIs with heavy branching logic).
  • Extensible: Plug into Hyperf’s DI container or use standalone. Works with PHP 8.1+.
  • Debugging: Built-in logging/tracing for condition evaluation (e.g., ‘Why was this user denied?’).

Trade-offs:

  • Not a silver bullet for event-driven workflows (pair with Hyperf’s event system if needed).
  • Requires buy-in to adopt a new pattern (but pays off in large codebases).

Proposal: Start with a pilot (e.g., refactor one complex feature like discount logic) to measure dev time saved and rule maintenance ease."*

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