Automate Kotlin end-to-end tests with TestRuntime, Kafka, and Postgres.
npx skills add https://github.com/navikt/helved-utbetaling --skill testing-navikt
Please help me install this Agent Skill. Skill: testing Source: https://github.com/navikt/helved-utbetaling/tree/main/.agents/skills/testing Command: npx skills add https://github.com/navikt/helved-utbetaling --skill testing-navikt
Test patterns for helved-utbetaling — TestRuntime singleton, runTest with CoroutineDatasource context, DataSource.await polling, Testcontainers reuse, and hand-rolled fakes (no mocking framework). Triggers — write tests, test fails, TestRuntime, runTest, /testing.
Run tests for the testing app with the configured TestRuntime and observe deterministic fixtures.
High-intent search queries and answers about installing and using this skill.
Deterministic Kotlin coroutine tests use a TestRuntime singleton with a CoroutineDatasource context, ensuring all DAO calls run consistently. This setup wires Postgres, Kafka mocks, and a Ktor test server for reliable execution.
Testing Postgres-backed DAOs and Kafka streams without a mocking framework is achieved using hand-rolled fakes. This keeps tests in-process and fast, coordinated by the TestRuntime singleton for deterministic verification.
Polling a datasource during a Kotlin runTest block uses the DataSource.await mechanism. This ensures coroutine-based tests wait for Postgres test data setup to complete before executing assertions.
Yes, Testcontainers reuse is supported for Postgres across multiple Kotlin test modules. The TestRuntime coordinates this reuse, enabling fast, environment-isolated end-to-end test workflows.
Kotlin coroutine tests fail without proper environment isolation because the TestRuntime enforces requirements around runnable test scaffolding and consistent test naming. It captures realistic tokens and fakes to ensure deterministic verification.
Yes, hand-rolled fakes replace mocking frameworks for in-process Kotlin test runtimes. This approach maintains fast execution speeds and deterministic behavior for end-to-end workflows across Kafka and Postgres components.
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