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Orderly Laravel Package

baril/orderly

Add sortable, orderable behavior to Laravel Eloquent models. Store a position column (default: position), use the Orderable trait, and move records with helpers like moveToOffset() and moveToStart(). Supports Laravel 6–12 with version mapping.

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Product Decisions This Supports

  • Drag-and-drop UIs for content management: Enables seamless reordering of lists (e.g., blog posts, menu items, or product categories) without manual SQL updates. Directly supports features like:
    • Admin panels (e.g., CMS, e-commerce backends) where users need to sort items visually.
    • Frontend UIs (e.g., customizable dashboards, user-generated lists) with real-time ordering.
  • Roadmap for scalable ordering systems: Reduces technical debt by abstracting away complex SQL logic (e.g., UPDATE cascades, gap handling) into a reusable trait. Aligns with:
    • Future-proofing legacy systems with ad-hoc ordering hacks (e.g., sort_order columns).
    • Standardizing ordering behavior across multiple Eloquent models (e.g., shared UI patterns).
  • Build vs. Buy: Buy for teams lacking time/resources to build custom ordering logic from scratch. Justification:
    • Pros: Battle-tested (Laravel 7–12), supports MySQL/PostgreSQL/SQLite/SQL Server, and handles edge cases (e.g., gaps, groups, relationships).
    • Cons: Minimal community adoption (2 stars) may require internal maintenance for critical features.
  • Use Cases:
    • Hierarchical data: Sorting child items within parent groups (e.g., section_id grouping).
    • Many-to-many relationships: Ordering tags, playlists, or collections (e.g., Post::tags()->ordered()).
    • Bulk operations: Efficient mass reordering via saveOrder() (avoids N+1 query pitfalls).
    • Data integrity: Automatic gap-filling on delete and position assignment on create.

When to Consider This Package

  • Adopt if:
    • Your app uses Eloquent models with sortable lists (e.g., CMS, e-commerce, SaaS platforms).
    • You need grouped ordering (e.g., sorting items within categories/sections).
    • Your team prioritizes developer velocity over custom SQL solutions.
    • You require multi-database support (PostgreSQL, SQL Server, etc.).
    • You’re using Laravel 8+ and want to avoid reinventing ordering logic.
  • Look elsewhere if:
    • You need real-time collaborative sorting (e.g., Google Docs-style drag-and-drop with conflict resolution). Alternative: Use a dedicated service like Supabase or Firebase.
    • Your ordering logic is extremely complex (e.g., multi-dimensional grids, weighted algorithms). Alternative: Custom Laravel query builder or a NoSQL solution.
    • You’re on Laravel <7 or need non-Eloquent support (e.g., raw SQL tables).
    • Your team lacks PHP/Laravel expertise to debug potential edge cases (e.g., GroupException in relationships).
    • You require audit logging for every reorder action. Alternative: Extend the trait to log changes via Laravel’s observers or events.

How to Pitch It (Stakeholders)

For Executives: "This package lets us ship sortable UIs (e.g., drag-and-drop menus, playlists) 3x faster by handling the heavy lifting of database ordering automatically. It’s like adding a ‘sort’ superpower to our Eloquent models—no more manual SQL updates or race conditions. Supports all our databases (MySQL, PostgreSQL) and plays well with our existing Laravel codebase. The trade-off? Minimal upfront cost (2 hours to integrate) vs. weeks of custom dev work. ROI: Faster feature delivery for CMS/e-commerce tools."

For Engineers: *"Orderly gives us a batteries-included solution for Eloquent ordering with:

  • Traits for models/relationships: Just add use Orderable to your Article or Post model.
  • Bulk reordering: saveOrder() handles mass updates efficiently (no N+1 queries).
  • Grouped sorting: Order items within categories (e.g., section_id).
  • Multi-database support: Works with PostgreSQL, SQL Server, etc.
  • Artisan fix: php artisan orderly:fix-positions cleans up gaps after manual deletes. Downside: Small community (but active maintainer). We’d need to test edge cases (e.g., concurrent edits) in our staging environment. Alternative is writing custom SQL, but this saves ~10–15 hours of dev time per feature."*
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