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Notebook Runner Harness Audit

  • Audit date: 2026-03-18 (Asia/Tbilisi)
  • Repository root: /home/standard/dspy_rag_in_repo_docs_and_impl1
  • Verification worktree: /tmp/repo-rag-notebook-harness.8tkFKX
  • Git HEAD before commit: 608b77d9a77f9018dfacfb47806fe550d4ae7f33

Scope

This audit covers the new repo-native notebook observability surface:

  • uv run repo-rag run-notebooks
  • make notebook-report

The goal of this turn was to replace ad hoc notebook execution loops with a monitored helper that streams progress, captures raw logs, writes executed notebook copies to ignored artifacts, and emits machine-readable plus Markdown reports without dirtying tracked notebooks.

Executed Commands

Executed successfully in this turn:

  • make hooks-install
  • uv run python -m compileall src tests
  • uv run pytest tests/test_utilities.py tests/test_repository_rag_bdd.py
  • uv run repo-rag smoke-test
  • cargo build --manifest-path rust-cli/Cargo.toml
  • uv run pytest tests/test_cli_and_dspy.py tests/test_project_surfaces.py tests/test_notebook_runner.py tests/test_verification.py
  • make verify-surfaces
  • make quality
  • make notebook-report

Results

  • compile: passed
  • utility pytest surface: passed
  • smoke test: passed
  • Rust wrapper build: passed
  • targeted notebook and CLI pytest bundle: passed, 22 tests
  • make verify-surfaces: passed, checked_notebook_count: 5, issue_count: 0
  • make quality: passed, 58 tests, 87.38% total coverage
  • make notebook-report: passed and wrote a monitored batch report under artifacts/notebook_runs/20260318T013706Z/

Notebook batch report summary:

  • run ID: 20260318T013706Z
  • status: success
  • notebook count: 5
  • success count: 5
  • failure count: 0
  • duration: 45.6 seconds
  • .env requested: true
  • .env path: .env
  • .env present: false
  • loaded env keys: none
  • report JSON: artifacts/notebook_runs/20260318T013706Z/report.json
  • report Markdown: artifacts/notebook_runs/20260318T013706Z/report.md
  • progress snapshot: artifacts/notebook_runs/20260318T013706Z/progress.json

Per-notebook outcomes:

  • notebooks/01_repo_rag_research.ipynb: success in 11.59 seconds, 6 outputs, executed cells 5/5
  • notebooks/02_agent_workflow_checklist.ipynb: success in 9.61 seconds, 5 outputs, executed cells 4/4
  • notebooks/03_dspy_training_lab.ipynb: success in 9.65 seconds, 5 outputs, executed cells 4/4
  • notebooks/04_sample_population_lab.ipynb: success in 7.19 seconds, 5 outputs, executed cells 4/4
  • notebooks/05_hushwheel_fixture_rag_lab.ipynb: success in 7.50 seconds, 5 outputs, executed cells 4/4

Current Verification Status

Configured and verified in this turn:

  • compile, lint, type checking, complexity reporting, tests, and coverage through make quality
  • utility-facing pytest coverage through uv run pytest tests/test_utilities.py tests/test_repository_rag_bdd.py
  • notebook runner, CLI, project-surface, and verification pytest coverage through the targeted pytest bundle
  • repository smoke test through uv run repo-rag smoke-test
  • standalone Rust build through cargo build --manifest-path rust-cli/Cargo.toml
  • monitored notebook batch execution through make notebook-report

Still absent or not exercised in this turn:

  • UI or browser tests: none found
  • live Azure OpenAI or Azure AI Inference requests from the new notebook runner itself: not exercised; this run recorded that .env was requested but not present in the clean worktree
  • automated DSPy training compile path: not implemented

Notes

  • The runner writes executed notebook copies under artifacts/notebook_runs/<run-id>/executed_notebooks/ instead of modifying tracked notebooks in place.
  • Each notebook also gets a raw combined output log under artifacts/notebook_runs/<run-id>/logs/, while the batch report records duration, output count, executed-cell count, executed-copy path, and notebook log artifact path.
  • progress.json is updated incrementally during the run so an external watcher can inspect progress before the batch finishes.