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Nova Combobox Filter Laravel Package

harrald/nova-combobox-filter

A Laravel Nova filter that adds a searchable combobox dropdown for filtering resource listings, letting users quickly pick from related records instead of scrolling long select menus.

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Technical Evaluation

Architecture fit. The package is a thin presentation-layer plugin that plugs into Nova's existing filter contract (options() for the option set, apply() for the query constraint). It introduces no data model changes, no API surface, no background jobs, and no new runtime services. Architecturally it is the lowest-risk category of dependency: a UI control that composes into Nova's index query. Fit is strong only where Nova is already the admin plane; it has zero value outside Nova and must not be positioned as a public-facing product capability.

Integration feasibility. Nominal effort is hours, not a sprint: composer require, optional nova:publish, then subclass a base filter and register it in a resource's filters(). The real work is verification, not wiring. Feasibility is gated almost entirely on (a) Nova major version compatibility and (b) whether Nova's native SelectFilter::searchable()->multiple() already covers the need on Nova 4+. If native parity holds, the correct TPM call is to delete the dependency before adoption.

Technical risk.

  • Silent correctness failure is the dominant risk. A component built for a different Nova major can render but never emit a value, or apply() can stop constraining after an upgrade — users then see unfiltered data they believe is filtered. No error is thrown, and every operator of that resource is affected.
  • Single-author, 12 stars, 0 dependents, likely no CI. Treat as vendored reference code with a bus factor of one. Loose composer constraints (e.g. *) are a red flag to read before committing.
  • Unresolved feature contradiction. The description advertises multi-select; the feature list mentions single-value selection. This determines whether the package closes a roadmap item or merely prettifies a dropdown.
  • Option cardinality. If options are serialized eagerly into the Nova page payload, high-cardinality columns (all users, all orders, all tenants) degrade index performance. Whether server-side search exists is the go/no-go for those resources.
  • Asset publishing. Uncompiled resources/js produces the classic works-locally / dead-in-production dropdown unless the build is committed or run in CI.

Key questions to close before commitment.

  1. Does Nova 4/5 native SelectFilter with searchable() and multiple() satisfy the requirement? (Highest-value finding.)
  2. Which Nova major are we on, and does the package's require block actually support it?
  3. Does the source support true multi-select, or single value only?
  4. Are options loaded eagerly or searched server-side?
  5. What is the documented semantic for an empty selection — zero rows or no filter?
  6. Do saved filter bookmarks encode a value shape we would break by switching?

Integration Approach

Stack fit. Laravel + Nova only, and Nova must be licensed and working. Before any code, read the package's composer.json require block against the installed Nova version and confirm the front-end toolchain (Nova 3 = Vue 2 + Mix; Nova 4/5 = Vue 3 + Vite). This is the single highest-risk step in the evaluation.

Migration path.

  1. Confirm the problem is real. Quantify how often operators run the same query repeatedly to cover multiple values. The package is cheap; the problem must still be real to justify roadmap language.
  2. Check native parity first and resolve the multi-select claim against the source.
  3. Pilot on one resource currently using an over-large select filter (e.g. filter orders by product, tickets by tag, users by team).
  4. Insert an internal seam. Create App\Nova\Filters\ComboboxFilter extending the vendor class and have all app filters extend that. Swapping to native or a hand-rolled component later becomes a one-file change instead of a sweep across resources.
  5. Normalize values in the wrapper (scalar vs array vs empty) and make the empty-selection semantic an explicit, documented product decision rather than an accident of whereIn.
  6. Pin and test. Commit the exact version in composer.lock, commit any published compiled asset, and add a small feature test asserting apply() still constrains the query — the cheapest insurance against the silent-failure mode.
  7. Roll out with ->limit() caps on model-sourced options (target tens; hard cap around 200).

Compatibility. Verify on a staging branch before wiring resources, and add "re-verify this filter" to the standing checklist for every Nova upgrade. Because failures are silent, a staging smoke check must exercise the full path — registration → component → request → PHP — not just page load.

Sequencing note on URL state. Filter values are encoded in the query string. Changing the value shape (single string → array) when replacing a native filter will desync saved bookmarks. Decide up front whether to migrate them or accept a one-time break, and communicate it.

Operational Impact

Maintenance. Assume you own the code. The source and Vue component are small enough to read and, if the package goes stale, to re-implement in app/Nova/Filters in roughly 1–2 engineer-days. That is the honest build-vs-buy baseline: both sides are small, so prefer building if the package does not fit cleanly rather than fighting it. Pin versions and commit published assets so production does not depend on an external build.

Support. No upstream SLA, no dependents to surface regressions, single author. Ownership sits with the team that owns the Nova admin panel. Support burden is low but non-zero: the operational requirement is a documented upgrade checklist plus a regression test per filter.

Scaling. Two limits dominate:

  • Option cardinality — cap option lists and avoid attaching the filter to high-cardinality columns unless server-side search is confirmed. Every index page load pays for eagerly serialized options.
  • Query cost — keep apply() to a single whereIn. Joins and subqueries inside apply() interfere with eager loading and pagination and are not this package's job.

This is not relationship-aware or async-search filtering; "search users and pick several across a million rows" is a different, harder problem requiring a server-backed endpoint or custom component. Scope it out explicitly.

Failure modes and mitigations.

Failure Symptom Mitigation
Nova major mismatch Dropdown renders, never emits a value Verify on branch; re-verify at each Nova upgrade
Silent non-constraint Users see unfiltered data believing it filtered apply() regression test + staging smoke check
Asset never built Works locally, dead/unstyled in production Publish + commit compiled asset, or build in CI
Empty-selection ambiguity Zero rows vs all rows, depending on driver Decide, document in the filter class, and test
Bookmark URL shape change Saved filters desync after migration Migrate or accept and announce a one-time break
Option overload Slow index pages on large option sets ->limit() caps; avoid high-cardinality columns

Ramp-up. Low. A Nova-fluent engineer can read src/ and resources/js/ and ship a pilot in a day. Keep the debugging path documented — registration → component → network request → apply() — so "the filter does nothing" resolves to a specific layer rather than a vague investigation. Budget the effort as internal-tooling leverage, not as product investment.

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