test-data-gen

Generate realistic test data for Prisma database seeding by using factories to create users, courses, and enrollments with upsert-based idempotent seeds. This ensures referential integrity and repeatable test states across your development environment.

Idempotent seeding is a database population technique that uses upsert operations to ensure running a seed script multiple times produces the same result without duplicating records. It maintains referential integrity for repeatable test states.

Yes, you can generate JSON fixtures instead of Prisma seed files. The test data generation process supports producing JSON fixtures, API-based seeds, and Prisma seed scripts to bootstrap your testing environments.

Create test data factories that cover edge-case records by defining generation logic for relational models with realistic-valued fields and timestamps. This approach targets edge-case coverage alongside standard users, courses, and enrollments.

The best way to ensure referential integrity when seeding relational models is to implement factories with upsert-based idempotent seeds and realistic-valued fields. This guarantees deterministic relationships and repeatable test states.

No specific dependencies are required to start seeding your database. The test data generation operates independently to produce seed files, JSON fixtures, or API-based seeds for your development and testing environments.