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Product Ranking Bundle Laravel Package

tourze/product-ranking-bundle

A PHP bundle that adds product ranking to your application, providing the core structures and services needed to score, sort, and surface products by popularity or relevance. Use it to build leaderboards, best-seller lists, and ordered search results without writing ranking logic from scratch.

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Getting Started

Reality check on 0.0.1: the only artifact published with this release is a changelog link. There is no README excerpt, no documented API surface, and no migration or config reference in the release notes. Treat 0.0.1 as a source-reading exercise, not a documented integration.

  1. Install and pin exactly. Because this is a 0.0.x release, Composer will treat it as unstable-ish semver (0.0.1 has no backward-compatibility promise). Require "tourze/product-ranking-bundle": "0.0.1" with an exact constraint, and commit the lock file.
  2. Look at composer.json first. Confirm three things before writing any code:
    • the type field — symfony-bundle versus library tells you whether Laravel's package auto-discovery will do anything for you;
    • the require block — whether it pulls in symfony/* components, Doctrine, or nothing framework-specific;
    • the PSR-4 autoload prefix, which tells you the real root namespace to use (the package name suggests Tourze\ProductRankingBundle, but verify rather than assume).
  3. Read .github/workflows/, composer.json require-dev, and any tests/ directory. With no docs, the test suite is the specification. Tests tell you the intended data shape, the ranking algorithm's tie-breaking behaviour, and whether persistence is expected to be supplied by you or by the bundle.
  4. Then read src/. Scan for a service provider or Symfony *Extension class (the config entry point), any Repository/Ranker/Calculator/Sorter classes (the actual API), and any Resources/config/ or config/ directory (default options and their keys).

First use case to attempt: a read-only ranking query — take a collection of products with a numeric score, feed it to whatever ranking/sorting service the package exposes, and render the top N. Do this before you touch persistence or write paths, because a 0.0.1 ranking package is most likely to be a pure scoring/sorting library with the storage layer left to you. If that read-only path works, you have learned the core contract; if it requires database tables that don't ship, you have learned that immediately and cheaply.

Implementation Patterns

Wrap it, don't sprinkle it. Put a single ProductRanking adapter class in app/Services/ that owns every call into the package. On a 0.0.x dependency this is not ceremony — it is your upgrade insurance. If 0.0.2 renames a method, you edit one file.

Bind the contract in a service provider. If the package ships interfaces, register concrete bindings in AppServiceProvider::register() rather than resolving classes from the container inline. This is also where you inject your ranking configuration (weights, score sources, limits) so the package stays framework-agnostic and your app owns the policy.

Compute on write, read from a materialised table. Ranking at request time is the pattern that ages badly. Store a rank or score column (or a dedicated product_rankings table) and recompute on a schedule or on relevant model events. The package almost certainly gives you the ordering logic but not the storage — so you own the table, the index, and the recompute trigger.

Use a queued job for bulk recomputation. If ranking is O(n log n) over a full catalogue, a queued RecalculateProductRankings job with WithoutOverlapping middleware prevents a redeploy or a double-click from stacking concurrent recomputes over the same rows.

Scope by tenant/store explicitly. Multi-tenant catalogues break naive ranking because a global top-10 leaks cross-tenant data. If the package's API takes no scope parameter, apply scope in your adapter — filter the candidate set before ranking, never after.

Keep a deterministic tie-breaker. Ties in score are where ranking bugs hide. Always append a stable secondary sort (e.g. product_id ASC) after the package's ordering so paginated results don't reshuffle between page 1 and page 2.

Feature-flag the rollout. Given undocumented behaviour, ship behind a config flag or Laravel Pennant feature so you can compare package output against your existing ordering in production before flipping over.

Gotchas and Tips

  • "Bundle" is a Symfony word. The package name strongly suggests a Symfony bundle rather than a Laravel package. Laravel's extra.laravel.providers auto-discovery will silently do nothing if that key is absent. Check composer.json; if there is no Laravel provider, you may need to register services manually or write a thin bridge. Budget for this — it is the single most likely source of a "nothing happens" first hour.
  • No documented config means no known defaults. Look for a publishable config (php artisan vendor:publish) or a Symfony Configuration class. If neither exists, configuration is either constructor arguments or absent, and hard-coded defaults are baked into the code — grep for magic numbers.
  • Migrations may not ship. If the package expects an entities/tables that it does not create, you will get "table not found" on first query. Check for a Migrations/ or migrations/ directory; if empty, you are writing the schema.
  • Pinning is not optional. A 0.0.1 → 0.0.2 bump can legitimately rename classes, change return types, or invert sort direction — under semver that is allowed in the 0.0.x range. Use an exact constraint and read the diff before bumping. Treat every upgrade as a minor review task.
  • Sort direction is the classic silent failure. Descending-by-default versus ascending-by-default produces plausible-looking but wrong output that no exception will catch. Assert the first result is the highest scorer in a test before trusting anything downstream.
  • Cache invalidation is on you. If you cache ranked lists, key the cache on both the scope (tenant/store) and a catalogue version counter that you bump on any score-affecting write. Keying only on tenant gives you stale rankings that look fresh.
  • Add a database index before you need it. If you persist a rank/score column, index it together with your scope column (store_id, rank) — the read path is almost always "top N within scope", and without the composite index you will table-scan once the catalogue grows.
  • Log the package's input and output on first integration. A temporary debug log of the candidate set size and the returned ordering, run against a known fixture, is the fastest way to confirm the package is doing what you think before you wire it into a request path.
  • Extension points to look for: interfaces you can implement (custom scorers/comparators), events dispatched around recompute, and any strategy/policy class that can be swapped via container binding. On 0.0.1 these may not exist yet — if they don't, keep your adapter thin so that adding them later is cheap rather than a rewrite.
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