Creating Integration Tests for Oracle-to-PostgreSQL Migration

Generates integration test cases for data access artifacts in a single target project. Tests target Oracle and capture its behavior as the authoritative baseline. They are written to be logically portable — so they can survive Phase 6 migration without rewriting — but they do not run against PostgreSQL at this stage.

Prerequisites

• The test project must already exist and compile (scaffolded separately).
• Read the existing base test class and seed manager conventions before writing tests.

Workflow

Test Creation:
- [ ] Step 1: Discover the test project conventions
- [ ] Step 2: Identify testable data access artifacts
- [ ] Step 3: Create seed data
- [ ] Step 4: Write test cases
- [ ] Step 5: Review determinism

Step 1: Discover the test project conventions

Read the base test class, seed manager, and project file to understand inheritance patterns, transaction management, and seed file conventions.

Step 2: Identify testable data access artifacts

Scope to the target project only. List data access methods that interact with the database — repositories, DAOs, stored procedure callers, query builders.

Step 3: Create seed data

• Follow seed file location and naming conventions from the existing project.
• Avoid TRUNCATE TABLE — keep existing database data intact.
• Assume existing business rows and lookup rows are already present; add only minimal, collision-safe seed records needed for the scenario.
• Do not commit seed data; tests run in transactions that roll back.
• Ensure seed data does not conflict with other tests.
• Load and verify seed data before assertions depend on it.
• Create or reuse a test LookupConstants class for stable lookup IDs/codes used across seed builders and assertions.

Step 4: Write test cases

• Inherit from the base test class to get automatic transaction create/rollback.
• Ensure each database-touching method in scope has at least one integration test (or multiple tests for higher-risk behavior branches).
• Assert logical outputs (rows, columns, counts, error types), not platform-specific messages.
• Assert specific expected values — never assert that a value is merely non-null or non-empty when a concrete value is available from seed data.
• Avoid testing code paths that do not exist or asserting behavior that cannot occur.
• Avoid redundant assertions across tests targeting the same method.
• For text parameters, include both empty-string and NULL/missing input coverage where applicable.
• For datetime behavior, include assertions that validate the value written and read back matches — use the Oracle column's precision (e.g., seconds-only for a date/time column with no fractional seconds) rather than assuming any particular database type syntax.

Step 5: Review determinism

Re-examine every assertion against non-null values. Confirm each is deterministic against the seeded data. Fix any assertion that depends on database state outside the test's control.

Key Constraints

• Phase 3 only — these tests target Oracle. Do not invoke this skill during Phase 6 or against a PostgreSQL-targeting project.
• Oracle is the golden source — tests capture Oracle's expected behavior.
• Assertion portability — avoid platform-specific error messages or syntax in assertions so that when the test project is migrated to PostgreSQL in Phase 6, assertions require no changes.
• Seed only against Oracle — the test project will be migrated to PostgreSQL in Phase 6; seed data and infrastructure stay Oracle-targeted until then.
• Scoped to one project — do not create tests for artifacts outside the target project.
• Preserve existing data — never rewrite or wipe pre-existing business or lookup rows.