Step 0: sample-smoke-conversions

Read First

/AGENTS.md
/PLAN.md
/PROGRESS.md
/docs/HARNESS.md
/docs/IMPLEMENTATION_PLAN.md
/docs/PRD.md
/docs/CONVERSION_POLICY.md
/phases/6-cli-runtime-resume/index.json

Task

Create controlled sample smoke conversion tests for the MVP corpus.

The tests should exercise the end-to-end pipeline on a small selected subset or page range first, then document which full documents are suitable for manual or slower regression runs.

Sprint Contract

Done means: at least one text-layer sample and one mixed/scanned-risk sample can be converted in a controlled test path.
Hard thresholds: tests have runtime bounds; sample selection comes from samples/metadata.json; generated output is checked with quality gates.
Files owned: tests/, sample metadata updates if needed, PROGRESS.md, phases/7-mvp-quality-hardening/index.json.
Dependencies: CLI/runtime and renderer phases complete.

Acceptance Criteria

python scripts\validate_workspace.py
.\venv\python.exe -m pytest tests

Verification

Run the acceptance commands.
Record sample coverage and any skipped slow tests in PROGRESS.md.
Update this phase index.

Do Not

Do not make every validation run process all long PDFs if runtime becomes impractical.
Do not commit generated output/ bundles.
Do not weaken quality gates to pass broken output.

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