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Rule Engine Laravel Package

drinks-it/rule-engine

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Product Decisions This Supports

  • Dynamic Business Logic Without Code Changes: Enable non-technical stakeholders (e.g., operations, compliance) to define, update, or disable rules via a UI or config (e.g., fraud detection, pricing tiers, workflow approvals). Reduces dependency on engineering for rule tweaks.
  • Decoupled Rule Evaluation: Isolate rule logic from core business logic (e.g., separate "discount eligibility" rules from e-commerce cart logic). Improves maintainability and reduces merge conflicts.
  • Event-Driven Architecture: Trigger rules on custom events (e.g., order_placed, user_login) without hardcoding callbacks. Aligns with Symfony’s event system for extensibility.
  • Database-Persisted Rules: Store rules as data (not code) to enable A/B testing (e.g., "Rule A for 50% of users, Rule B for the rest") or phased rollouts.
  • Compliance/Regulatory Flexibility: Quickly adapt to changing regulations (e.g., GDPR consent flows) by updating rules rather than redeploying code.
  • Roadmap Prioritization:
    • Build vs. Buy: Justify adopting this over custom solutions if the team lacks time/resources to build a scalable rule engine from scratch.
    • Phase 1: Start with simple conditional rules (e.g., "If X, then Y"). Phase 2: Expand to complex workflows (e.g., multi-step approvals).
    • Alternatives: Compare to commercial tools (e.g., Drools, Easy Rules) if MIT license or open-source contributions are non-negotiable.

When to Consider This Package

  • Adopt When:

    • Your PHP/Symfony app needs dynamic, data-driven rules (not hardcoded logic).
    • Rules are frequently updated (e.g., marketing promotions, fraud filters) by non-developers.
    • You want auditability (track when/why a rule fired) without instrumenting every business logic file.
    • Your team uses Doctrine ORM and is comfortable with Symfony bundles.
    • You need event-triggered rules (e.g., "When user_subscribed, apply Rule Z").
  • Look Elsewhere If:

    • You require real-time rule evaluation (this is synchronous; consider a microservice for async needs).
    • Your rules involve machine learning (use dedicated ML tools like TensorFlow/Python).
    • You need GUI rule builders (this is CLI/config-driven; pair with a frontend like React Rules Engine).
    • Your stack isn’t PHP/Symfony (e.g., Node.js, Java, or serverless).
    • You need high-performance scaling (this isn’t optimized for millions of concurrent evaluations; benchmark first).
    • Your rules require complex temporal logic (e.g., "Fire if X happens within 24 hours of Y").

How to Pitch It (Stakeholders)

For Executives:

*"This package lets us control business rules like configuration, not code—saving dev time and enabling faster iterations. For example:

  • Marketing: Launch a Black Friday discount rule in hours, not days.
  • Compliance: Update GDPR consent flows without redeploying the app.
  • Operations: Adjust fraud detection thresholds dynamically. It’s like ‘if-then’ logic for your database, managed by the team that owns the rules—not the engineers. Low risk (MIT license), high ROI for agility."*

Ask: "Where do we spend the most time today tweaking logic that could be rules? Let’s pilot this for [high-impact use case]."


For Engineering:

*"This is a Symfony-friendly rule engine that:

  • Reduces tech debt: Moves brittle conditional logic out of business classes.
  • Integrates cleanly: Works with Doctrine, Symfony events, and migrations.
  • Scales rules as data: Add new rules via DB/config, not code reviews.
  • Low maintenance: MIT-licensed, actively updated (last release Dec 2023).

Tradeoffs:

  • Not a GUI (CLI/config-driven; pair with a frontend if needed).
  • Synchronous only (blocking evaluation; fine for most use cases).
  • Symfony-centric (but PHP-agnostic enough to adapt).

Proposal:

  1. Pilot: Build a single rule (e.g., ‘Apply 10% discount if user is VIP’).
  2. Measure: Track dev time saved vs. custom solution.
  3. Expand: Roll out to high-churn areas (e.g., promotions, fraud).

Alternatives: Custom solution (3–6 weeks), commercial tools (e.g., Drools, $$$). This is the ‘good enough’ open-source option."*

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