How do you efficiently manage and persist complex, multi-page data structures gathered across several test steps in Playwright without relying on global state or brittle file I/O?

Question

How do you efficiently manage and persist complex, multi-page data structures gathered across several test steps in Playwright without relying on global state or brittle file I/O?

Answer

When developing a complex E2E test suite using Playwright, a scenario arises where a user workflow spans multiple distinct pages (e.g., Login -> Create Product -> View Inventory -> Export Data). During this workflow, the test needs to collect several highly structured, heterogeneous data artifacts (e.g., a list of generated IDs, configuration parameters from the initial page, and a final CSV blob from the export).

If the test runner environment is configured to run tests in isolation, and you cannot rely on global singleton state, describe an efficient, production-grade pattern for passing and persisting this complex, aggregated state (IDs, configuration maps, final file content) across these multiple sequential actions and subsequent assertions.

Specifically, contrast the trade-offs of:

1. Using the Playwright storageState mechanism (if applicable to the data type).
2. Leveraging custom test fixtures and dependency injection within the test runner (e.g., Playwright’s test fixture system).
3. Serializing the data into a temporary, ephemeral artifact and managing its lifecycle within the test execution scope.

Provide a conceptual implementation sketch using TypeScript/JavaScript to illustrate the chosen pattern, focusing on how the data is encapsulated and retrieved by the final assertion step.