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Notebook Scaffolding Audit

  • Audit date: 2026-03-17 (Asia/Tbilisi)
  • Repository root: /home/standard/dspy_rag_in_repo_docs_and_impl1
  • Working tree state during audit: notebook scaffolding, sample validation/assertion helpers, benchmark filtering, notebook-log wiring, and assertion coverage across all four notebooks

Scope

This audit covers the notebook-focused changes added in this turn:

  • The baseline research notebook now uses scaffold helpers plus assertions and notebook-run logging.
  • Notebook-facing Python helpers now validate training and population samples.
  • Retrieval benchmarks are derived from the training sample set and used as notebook assertions.
  • Notebook scaffold helpers now write tuning metadata and notebook-run logs from tested Python modules.
  • All four notebooks now call scaffold helpers and end with explicit assertions plus notebook-run logging.

Executed Commands

Executed successfully in this turn:

  • uv sync --extra azure
  • .venv/bin/python3 -m compileall src tests
  • PYTHONPATH=src .venv/bin/python3 -m pytest tests/test_benchmarks_and_notebook_scaffolding.py tests/test_project_surfaces.py
  • PYTHONPATH=src .venv/bin/python3 -m repo_rag_lab.cli smoke-test
  • make quality

Notable results:

  • .venv/bin/python3 -m compileall src tests: pass
  • PYTHONPATH=src .venv/bin/python3 -m pytest tests/test_benchmarks_and_notebook_scaffolding.py tests/test_project_surfaces.py: pass, 11 passed in 9.79s
  • PYTHONPATH=src .venv/bin/python3 -m repo_rag_lab.cli smoke-test: pass, reported answer_contains_repository: true, mcp_candidate_count: 1, and manifest_path: artifacts/azure/repo-rag-smoke.json
  • make quality: pass
  • make quality pytest phase: pass, 36 passed in 36.70s
  • make quality coverage threshold: pass, 88% total coverage against the 85% floor

Verification Notes

One notebook-surface warning and one benchmark regression were found and fixed during this turn:

  • Notebook cells appended by the scaffold update were missing id fields; the notebooks were normalized to restore a clean validation surface.
  • Retrieval benchmarks were initially skewed by README.DSPY.MD, which is not part of the notebook scaffold target corpus. The benchmark corpus filter was tightened so notebook assertions measure the repository evidence the notebooks are meant to validate.

Current Verification Status

Configured and executed in this turn:

  • Compile checks: present and passed.
  • Lint checks: present and passed for Python and notebook code cells.
  • Type checking: present and passed through mypy and basedpyright.
  • Repository-surface verification: present and passed for the Makefile and all four notebooks.
  • Complexity checks: present and passed through radon.
  • Tests: present and passed for notebook scaffold tests, notebook helper tests, and the full pytest suite.
  • Coverage: present and passed at the repository threshold of 85%.
  • Smoke workflow: present and passed.

Absent or still not verified locally in this turn:

  • UI or browser tests: none found in the repository configuration.
  • Dedicated integration-test suite separate from the pytest surface: none found.
  • Deployment validation against a live Azure endpoint: not executed; this turn exercised offline manifest, smoke-test, and tuning-metadata generation only.

CI Evidence

Historical CI logs already committed in the repository:

  • samples/logs/20260315T050730Z-gh-runs.md
  • samples/logs/20260315T085140Z-gh-red-status-check.md

Fresh GitHub Actions evidence for the push from this turn should be captured in a new samples/logs/ file after the push completes.