| id | structured-pipeline-example |
|---|---|
| type | example |
| title | Resilient batch data pipeline |
| summary | Build an isolated, bounded data batch processing pipeline with error recovery using the standard library. |
| lang | en-US |
| content_version | 1 |
| status | reviewed |
| reviewed_on | 2026-09-02 |
This exercise demonstrates handling batches of semi-structured input safely: isolating failures, validating field types, and generating structured summaries without crashing. It needs only Python 3.11+.
python examples/structured-pipeline/verify.py starter --expect-failure python examples/structured-pipeline/verify.py solution
The first command must report expected failure (unhandled exceptions, missing batch guardrails); the second must pass all tests.
Then provide TASK.md to your coding agent (Cursor, Windsurf, Claude Code) and ask it to fix starter/pipeline.py.
Verify with:
python examples/structured-pipeline/verify.py starter
See this example on flypython.com: the browsable contract, step-by-step walkthrough, and current review state.