김경종
39 lines
1.4 KiB
Markdown
39 lines
1.4 KiB
Markdown
# Step 0: sample-smoke-conversions
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## Read First
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- /AGENTS.md
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- /PLAN.md
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- /PROGRESS.md
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- /docs/HARNESS.md
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- /docs/IMPLEMENTATION_PLAN.md
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- /docs/PRD.md
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- /docs/CONVERSION_POLICY.md
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- /phases/6-cli-runtime-resume/index.json
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## Task
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Create controlled sample smoke conversion tests for the MVP corpus.
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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.
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## Sprint Contract
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- Done means: at least one text-layer sample and one mixed/scanned-risk sample can be converted in a controlled test path.
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- Hard thresholds: tests have runtime bounds; sample selection comes from `samples/metadata.json`; generated output is checked with quality gates.
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- Files owned: `tests/`, sample metadata updates if needed, `PROGRESS.md`, `phases/7-mvp-quality-hardening/index.json`.
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- Dependencies: CLI/runtime and renderer phases complete.
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## Acceptance Criteria
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```powershell
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python scripts\validate_workspace.py
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.\venv\python.exe -m pytest tests
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```
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## Verification
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1. Run the acceptance commands.
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2. Record sample coverage and any skipped slow tests in `PROGRESS.md`.
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3. Update this phase index.
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## Do Not
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- Do not make every validation run process all long PDFs if runtime becomes impractical.
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- Do not commit generated `output/` bundles.
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- Do not weaken quality gates to pass broken output.
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