maartenpaauw/laravel-specification-pattern
A Laravel package for the specification pattern, letting you encapsulate business rules into reusable, composable specifications and apply them to Eloquent queries or collections for cleaner, testable domain logic.
Architecture fit. The package is a thin behavioral layer over Illuminate\Support\Collection — in practice a macro, trait, or custom collection that accepts specification objects and narrows a populated collection. That makes it a domain-layer utility, not infrastructure: no service provider to configure, no config file, no persistence contract, no event or queue surface. It composes cleanly with DDD/hexagonal layouts because specifications are plain objects that can live in the domain namespace and be unit-tested without the framework. The one architectural caveat is conceptual: specifications here evaluate already-materialized objects in PHP. They express business predicates, not SQL. If the team frames them as "query filters" the pattern will drift toward fetching broad result sets and filtering in memory — an anti-pattern at any real volume. Correct fit is repository/query-object fetches a bounded candidate set (or chunk), and specifications apply eligibility, policy, or business-rule narrowing on top.
Integration feasibility. Composer-only, MIT-licensed, no external services, no credentials, no schema. The real diligence item is the dependency graph: the package almost certainly depends on a companion specification-pattern library and pins Illuminate and PHP constraints. Verify those pins against our target Laravel and PHP versions before committing, since a Laravel-major bump is the most likely thing to strand it. Because the integration is additive — a collection extension plus one new namespace of specification classes — rollout risk is contained and rollback is composer remove with no data or state cleanup.
Technical risk. Low-to-moderate, and skewed toward adoption and longevity rather than runtime behavior:
and/or/not) and empty-set behavior can fail quietly. Specifications that return empty collections are indistinguishable from "no matches" and from "bug."Key questions.
illuminate/* and PHP constraints, and do they cover our current and next Laravel major?maartenpaauw/specification-pattern package, and is that dependency similarly maintained?null, and nested/associative collections?Stack fit. Requires Laravel with a supported Illuminate Collections version and modern PHP. It is framework-idiomatic in the shallow sense — no new runtime, no new process, no new deployment artifact. It coexists with Eloquent, query builders, and API resources because it operates only after data is in memory. There is no interaction with queues, caching, auth, or storage, so the blast radius of adoption is confined to whichever namespaces we point it at.
Migration path. Entirely incremental and reversible; there is no data migration and no cutover. Phase it: (1) install and validate constraints in a scratch branch; (2) introduce specifications in one bounded context with existing, already-fetched collections — report exports, eligibility checks, admin list screens — rather than rewriting live query paths; (3) once conventions settle, replace ad-hoc Collection::filter(fn ($x) => ...) closures behind repository boundaries; (4) only then consider exposing specifications through a shared domain namespace. Critically, do not refactor query construction during step 2 — keep the specification layer strictly post-fetch so behavior changes are provably equivalent.
Compatibility. Three friction points to check up front. First, collection type: if the package supplies its own collection class, returned types change and any strict type hints across the codebase (Collection $c) need auditing. Second, Eloquent vs. base Collection: an EloquentCollection may or may not satisfy the package's expectations — test with real model collections, not arrays. Third, chunked/lazy collections (LazyCollection) are the correct tool for large sets and may be outside the package's support; confirm before designing around it. On the positive side, specifications are trivially unit-testable in isolation, which improves test coverage relative to inline closures.
Sequencing. Week 1: constraint audit, forkability check, spike one specification against a real repository return type. Week 2: define conventions (naming, one spec per business rule, composition depth limit of ~3) and land two or three specs in a single context with tests. Week 3: document the "specs are post-fetch, never a substitute for a WHERE clause" rule and add it to the PR checklist. Week 4: decide go/no-go on broader adoption based on whether the pilot actually reduced closure complexity or merely relocated it.
Maintenance. Near-zero ongoing operational load — no runtime process, no daemon, no scheduled job, no configuration drift. Maintenance is concentrated in dependency bumps: the package must track Illuminate majors, so plan on a review at each Laravel upgrade window. Budget a standing owner in the platform or domain team; without one, a Laravel upgrade will silently pin the whole app or force an unplanned composer remove. Fork-and-vendor is the documented contingency and should be written down before it's needed.
Support. No vendor SLA; upstream support is best-effort via GitHub issues with a single maintainer and a small user base, meaning issues may sit and Stack Overflow coverage will be thin. Internal support therefore rests on two artifacts we must produce ourselves: a short internal README covering conventions and the post-fetch rule, and a named owner. Community answers will not exist for edge cases.
Scaling. This is the primary operational concern. Filtering complexity is O(n) per specification per request, evaluated in PHP, and chained specs multiply. It scales fine for bounded sets (dozens to low thousands of rows) and degrades quietly at high cardinality — latency rises with data volume rather than staying flat, which is the signature of a filter that should have been a query. Mitigations: enforce a bounded candidate set at the repository boundary, prefer LazyCollection/chunking for large scans, cap composition depth, and add a metric or log when a specification is applied to a collection above a size threshold. Memory, not CPU, is usually the first wall — the full collection is resident.
Failure modes. Ranked by likelihood: (1) silent over-filtering — a mis-composed spec returns fewer rows than expected with no error, surfacing as a business complaint rather than an exception; (2) unbounded collection load — a specification applied to an unbounded fetch causes OOM or latency spikes as data grows; (3) supply-chain staleness — an abandoned upstream blocks a framework upgrade; (4) type breakage — a collection class or strict-return-type mismatch throws at runtime in one code path only; (5) semantic drift — two specs encode overlapping rules and diverge over time. Each is cheap to defend against with tests on specs individually, a size guard, a vendor contingency, and a review rule.
Ramp-up. Low technical ramp-up, moderate conceptual ramp-up. Any Laravel developer can read the code in under an hour; the cost is teaching the team when not to use it. Plan a single 60-minute session covering the pattern, our conventions, the composition-depth limit, and the post-fetch rule, plus a worked example in the codebase. New hires will otherwise over-apply it — expect the first wave of PRs to contain one-line specification classes for trivial predicates and review them back into closures. Overall this is a low-cost, low-regret adoption with a clearly bounded downside, contingent on validating the dependency constraints and enforcing the in-memory boundary.
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