- How do I install and set up this package in a Laravel project?
- Run `composer require bestit/commercetools-async-pool` to install. Configure the Commercetools SDK client (host, projectKey, credentials) in `config/commercetools.php`, then initialize the `Pool` class with your client instance. Ensure Laravel’s queue system (Redis or database) is properly configured for async processing.
- What Laravel versions does this package support?
- The package is officially tested with Laravel 8+, but it should work with Laravel 7+ due to its dependency on the Illuminate Queue contract. Always verify compatibility by checking the package’s `composer.json` for Laravel version constraints.
- Can I use this for bulk product imports or inventory updates?
- Yes, this package is designed for high-volume operations like bulk imports or inventory updates. Use the `Pool` class to batch requests (e.g., `ProductTypeByIdGetRequest`) and configure the pool size to control concurrency. Monitor queue backlogs to avoid overwhelming your workers.
- How do I handle failed requests or retries in production?
- Failed requests trigger the error callback you define. For retries, integrate Laravel’s `FailedJob` table or a dead-letter queue (e.g., via `spatie/laravel-queue-s3`). Customize retry logic with exponential backoff in your job class or middleware, as the package lacks built-in retry mechanisms.
- Does this package support idempotency for Commercetools API calls?
- No, the package does not include native idempotency support. Configure idempotency keys directly in the Commercetools SDK client (e.g., via `ClientBuilder::withHttpClient()`) or implement middleware to add headers like `Idempotency-Key` to requests before dispatching them to the pool.
- How do I test async workflows with this package?
- Mock Commercetools responses using Laravel’s `Mockery` or `Pest` assertions for queue jobs. Test callbacks by verifying success/error handlers in unit tests. For integration tests, use Laravel’s `Queue::fake()` to assert jobs are dispatched and processed correctly.
- What queue drivers work best with this package?
- Redis is recommended for high throughput due to its speed and persistence. Database queues are simpler but risk lock contention for large batches. Avoid the `sync` driver in production, as it blocks execution and defeats the purpose of async processing.
- Can I dynamically adjust the pool size based on workload?
- The pool size is set during initialization and cannot be adjusted dynamically. For scaling, deploy multiple queue workers or use Laravel Horizon to monitor and scale workers based on queue length. Consider circuit breakers (e.g., `spatie/fruitful`) to handle API failures gracefully.
- What are the alternatives to this package for async Commercetools requests?
- Alternatives include manually chaining Guzzle promises or using Laravel’s `dispatchSync()` for critical paths. For more advanced async workflows, consider `spatie/async` or custom queue jobs with the Commercetools SDK. However, this package simplifies batching and callback handling specifically for Commercetools.
- How do I monitor batch success/failure rates or API quota usage?
- Instrument your callbacks to log metrics (e.g., success/failure counts, processing time) using Laravel Telescope or a custom logging system. Track API quota usage by parsing Commercetools response headers (e.g., `X-RateLimit-Remaining`) in your error handlers or middleware.