Copernica Rest Api Client Laravel Package

Getting Started

This package is a thin REST wrapper around Copernica's marketing automation API (databases, collections, profiles, subprofiles, views, emailing). It has zero stars and no dependents, so treat the source as the documentation: before writing application code, read src/ and the README end to end. The release cadence (single release, Dec 2023) means you are effectively adopting a snapshot, not a maintained SDK.

Minimal steps:

1. composer require budgetlens/copernica-rest-api-client
2. Look for a service provider (Laravel package auto-discovery or manual registration in config/app.php).
3. Publish config if available: php artisan vendor:publish --tag=copernica-config. If no tag exists, grep the provider's boot()/register() for mergeConfigFrom and publishes.
4. Set credentials in .env — Copernica expects an access token, typically passed as access_token query param or Authorization: Bearer. Confirm which the client uses by reading the constructor/HTTP call.
5. Build a single smoke test against a non-production database: fetch one profile by ID and echo the JSON.

Where to look first, in order:

• config/copernica.php (or whatever the provider merges) — base URL, version segment (/v4/), token key.
• The client class (likely Copernica / Client / RestClient) — every public method is your usable surface; the README usually lists a subset.
• composer.json — check the Guzzle/Laravel HTTP client version constraints. If it pins guzzlehttp/guzzle to an old major, you may get dependency conflicts in a modern Laravel app.

First use case: read a profile from a database. Copernica's hierarchy is database → collection/view → profile (and subprofiles underneath). Start read-only: GET /databases/{id}/profiles/{id} or GET /profiles/{id} depending on what the client exposes. Once reads work, wire a single write (PUT/POST on a profile field) in a staging database only. Copernica's field schema is strict — writing an unknown field usually fails or silently no-ops, so validate against the actual database definition before building anything on top.

If the package turns out to be a very thin, undocumented wrapper, budget half a day to wrap it in your own CopernicaService rather than calling it from controllers. That layer is what makes the rest of this assessment tractable.

Implementation Patterns

Bind through the container, never new the client. Resolve from the container so config and HTTP client are injected consistently, and so you can swap a fake in tests. If the package ships a facade, use it only at the edges; inject the underlying client into your own service class.

Build one domain service as the seam. Do not let Copernica's resource-oriented API (databases, collections, subprofiles) leak into controllers. Create something like App\Services\Copernica\ProfileRepository with intent-named methods (findByEmail, upsertProfile, subscribeToNewsletter). This is the single most valuable pattern here: when you inevitably fork or replace this thinly-maintained package, you change one class.

Map to Eloquent explicitly. Keep a mapping array of Copernica field names ↔ your model attributes. Copernica profile IDs are integers scoped to a database/collection; store the ID plus the database ID on your model. Avoid attribute-name guessing — Copernica field names are case- and typo-sensitive.

Queue all writes. Wrap create/update/delete in jobs (ShouldQueue), one job per profile or per small batch. Benefits: retries with backoff against Copernica's rate limits and transient 5xx, no user-facing latency, and a natural place for idempotency (check-then-write by email or ID before creating).

Configure multi-account/multi-database from config, not code. Put database IDs, collection IDs and view IDs in config/copernica.php under named keys (newsletter, customers). Hard-coded numeric IDs scattered through the app are the most common source of "works in staging, breaks in prod."

Read-through caching for slow-moving lookups. Database/collection/field definitions rarely change; cache them for minutes-to-hours. Profile reads are more volatile — cache only where the business tolerates staleness, and key by profile ID.

Rate limit your side. Copernica enforces per-token limits. Register a named limiter and apply it to your jobs, or use RateLimited middleware on the queue. A bulk import of 10k profiles should be chunked (e.g. 100 per job) with a small delay, not fired as 10k jobs.

Testing. Use Laravel's Http::fake() if the package sits on the Laravel HTTP client; otherwise bind a mock of the client class in the container and assert your service's calls. Record real sandbox responses as fixtures — the response shapes (nested data, pagination start/limit/total) are worth pinning in tests.

Webhook/event integration. If you need near-real-time sync from Copernica, prefer Copernica's own webhooks/feedback loops posting into a Laravel route, and use this client only for outbound reads/writes. Don't poll the API in a tight loop.

Gotchas and Tips

Verify the package is actually alive before committing. Zero stars, no dependents, one release. Check the repo's commit history, open issues, and whether the API version it targets (v1–v4 in the URL path) is still current. Copernica has changed auth and endpoint shapes across versions; a 2023 client may target a deprecated path. If it's stale, MIT licensing means you can vendor it into app/ or a private fork and patch it — often cheaper than fighting upstream.

Pin the version and lock it. "budgetlens/copernica-rest-api-client": "1.0.*" (or the exact tag). An abandoned package with a ^ constraint and a surprise minor release is a bad combination. Also check transitive Guzzle constraints against your Laravel version before you start.

Tokens in query strings leak. Copernica accepts ?access_token=...; if the client appends it to the URL, your token lands in logs, exception traces, and Http::dd() output. Scrub it in a Guzzle middleware or switch to the Authorization header if supported. Never log request URLs containing the token, and make sure Laravel's exception handler isn't dumping full URLs in production.

Config caching bites. php artisan config:cache freezes env lookups. If the package reads env() directly at runtime instead of via config, it will return null in production while working locally. Grep the source for env( — if found outside config files, that's a red flag and your first bug report.

Pagination is parameter-based, not link-based. Copernica typically uses start and limit query params, not cursor links. A naive while ($response->next) loop will spin forever. Cap iterations and validate total.

Errors arrive as HTTP status + JSON body, not exceptions you can read. 401 = bad/expired token, 403 = token lacks scope for that resource, 404 = wrong ID or wrong database context, 422 = validation on field values. If the client swallows the body into a generic exception, log the raw response yourself — otherwise you'll debug blind.

Subprofiles are the trap. A "profile" can have many "subprofiles" (e.g. order lines, newsletter subscriptions). Writes to nested data need the parent profile ID and the subprofile collection ID, and the client may or may not model this. Confirm the exact endpoint shape before designing your schema around it — mis-modelling this is a rewrite.

Date/time and field types. Copernica stores dates in its own format and enforces field types. Send ISO-8601 or whatever the field definition expects; a mismatch surfaces as a 422 that doesn't tell you which field failed. Validate locally against a cached field-definition map.

Extension points are yours to build. With no facades, no events, and probably no middleware hooks, the extension surface is the Guzzle/HTTP client underneath. If you need retries, logging, or token refresh, inject a configured HTTP client into the package client (if the constructor allows) or decorate your own service around it. That decoration layer is also where you'd add metrics and idempotency keys.

Have an exit plan. Because adoption is zero, assume this package will not be maintained. Keep the dependency behind your own interface, write a contract test against the live sandbox API, and you can replace it with ~200 lines of Http::withToken()... calls in a day if needed.