Test Your Endpoint

1. Test Your Endpoint

The endpoint is live. But working manually isn't the same as working reliably. This video closes the chapter: ask Claude to write and run an integration test for the full stack.

2. Close the Loop

The previous chapter gave you unit tests for individual functions. Now there's a full endpoint: route, database query, Pydantic validation. Testing each piece separately isn't enough anymore. You need to verify they work together. Same tool, broader scope.

3. Unit vs Integration Tests

Unit tests and integration tests serve different purposes. A unit test isolates one function and mocks its dependencies: fast and focused. An integration test sends a real request through the full stack: route, database, validation, response. For an endpoint backed by Chinook, the integration test is what's needed.

4. The Project So Far

The project now has both test files in place. test_routes.py holds the unit tests from the previous chapter. test_db_routes.py is the new file: end-to-end coverage for the database-backed endpoints using the real Chinook database.

5. Write Tests and Run Them

With the structure in place, here's the prompt. Point Claude at the endpoint file and ask it to write integration tests and run them. Claude reads the code, generates 23 tests across four areas: core functionality, connection handling, error scenarios, and response validation. Everything passes green. Route, database, and validation all confirmed working.

6. Let's Practice!

One chapter, one complete workflow. Concept, connection, endpoint, tested feature: all built with Claude and MCP. Now write the integration test yourself. Let's practice.

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