workbench / docs /ACCEPTANCE_CRITERIA.md
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# Acceptance Criteria
This file defines how we decide whether something is really done.
## Global Rule
Do not mark a feature done unless:
1. The files exist.
2. The feature is linked from docs where relevant.
3. The behavior was tested locally, or the blocker is written in `IMPLEMENTATION_STATUS.md`.
4. The checklist in `TASKS.md` is updated.
5. Unit and user-story tests are added or updated.
If a bug or failed check is discovered, add or update a test that reproduces it before marking
the fix done.
## MVP App
Done when:
- `python app.py` launches without errors.
- The Gradio UI opens locally.
- Chat tab returns a response.
- Vision tab accepts an image and returns a response.
- Field Notes tab saves a row to `data/field_notes.csv`.
- README explains that current inference is placeholder/local-safe.
- Unit and user-story tests pass.
## Testing And Quality
Done when:
- Unit tests cover new logic.
- User-story tests cover new workflows.
- `scripts/run_tests.ps1` passes.
- `ruff`, `mypy`, `pylint`, `bandit`, and `pip-audit` are installed or blockers are documented.
- `scripts/run_quality.ps1` passes before release or documents exact blockers.
## Real Local Inference
Done when:
- A user can choose a backend.
- Model loading happens only after an explicit click.
- The app does not download weights on startup.
- At least one small model returns a real response.
- Setup steps are documented.
## Hugging Face Space
Done when:
- Space exists.
- Repo is pushed.
- Build succeeds.
- Public/private Space URL is added to README.
- Any hardware or model limitations are documented.
## GitHub
Done when:
- GitHub repo exists.
- Initial commit is pushed.
- README includes GitHub URL.
- Large files and secrets are excluded.
## Training
Done when:
- Training input format is documented.
- A dry-run or actual LoRA run completes.
- Output checkpoint path is shown.
- Metrics or logs are captured.
- Hardware assumptions are documented.
## Field Notes
Done when:
- Corrections save reliably.
- Corrected records can be exported.
- Export schema is documented.
- Export can feed the training pipeline.
## Hackathon Submission
Done when:
- Space URL is live.
- Demo video is recorded.
- Social post is published or drafted.
- Submission form fields are complete.
- Model-size compliance is documented.