Python Data Automation · Chapter 10 of 10

Testing and Debugging

Use pytest and targeted debugging to verify data transformations, reproduce bugs, and prevent regressions.

Why this chapter matters

Tests protect production workflows by detecting breaks early and preserving bug fixes over time.

What you will learn

  • Write unit tests for deterministic transformation functions.
  • Use fixtures to share setup and keep tests readable.
  • Convert production bugs into regression tests.

Lessons in this chapter

  1. Core pytest workflowCreate discoverable test files with readable assertions.
  2. Fixtures and test dataReuse setup logic without hidden coupling.
  3. Debugging failing testsIsolate root causes with minimal repro cases.
  4. Guide: testing and debuggingHarden script reliability through tests and diagnostics. Read the full guide →

Study task

Write tests for parse_amount and normalize_channel, then add a regression test for one malformed real-world input.

Chapter checkpoint

Why should you add a test for a bug before or with the fix?

It creates a regression guard so the same failure is caught automatically in future changes.