Rename _strip_html/_extract_body to strip_html/extract_body (public API).
Remove duplicate _TextExtractor, strip_html, and _extract_body from
imap_fetch.py; import from app.utils instead. Update test_label_tool.py
to use the new public names.
- Delete app/label_tool.py (Streamlit UI retired; Vue SPA is sole UI)
- Extract _strip_html and _extract_body into app/utils.py (stdlib-only, reusable)
- Update tests/test_label_tool.py import to app.utils
- Rename start-api/stop-api/restart-api/open-api → start/stop/restart/open in manage.sh
- Remove STREAMLIT variable and all Streamlit-specific case blocks from manage.sh
- Update manage.sh usage section to reflect Vue+FastAPI-only commands
- Add data/sft_candidates.jsonl and data/sft_approved.jsonl to .gitignore
- Add sft.bench_results_dir key to config/label_tool.yaml.example
- except clause in cancel_benchmark/cancel_finetune narrowed from Exception
to _subprocess.TimeoutExpired (C1)
- _cancelled_jobs.discard() called after registering new proc to prevent
a stale flag from a prior run masking errors (I2)
- local `import subprocess` removed from run_benchmark and
run_finetune_endpoint; all Popen calls updated to _subprocess.Popen (I1)
- test patch targets updated from subprocess.Popen to app.api._subprocess.Popen;
cancelled-event tests updated to set flag in proc.wait() side-effect so
the discard-on-new-run logic is exercised correctly
Adds POST /api/benchmark/cancel and POST /api/finetune/cancel endpoints
that terminate the running subprocess (kill on 3s timeout), and updates
the run generators to emit a cancelled SSE event instead of error when
the job was intentionally stopped.
Reentrant gradient checkpointing (the default) conflicts with Accelerate's
gradient accumulation context manager -- causes 'backward through graph a
second time' on the first training step. use_reentrant=False uses the
non-reentrant autograd hook path which is compatible with Accelerate >= 0.27.
- load_and_prepare_data() now accepts Path | list[Path]; single-Path callers unchanged
- Dedup by MD5(subject + body[:100]); last file/row wins (lets later runs correct labels)
- Prints summary line when duplicates are dropped
- Added _EmailDataset (TorchDataset wrapper), run_finetune(), and argparse CLI
- run_finetune() saves model + tokenizer + training_info.json with score_files provenance
- Stratified split guard: val set size clamped to at least n_classes (handles tiny example data)
- 3 new unit tests (merge, last-write-wins dedup, single-Path compat) + 1 integration test
- All 16 tests pass (15 unit + 1 integration)
Implements load_and_prepare_data (JSONL ingestion with class filtering),
compute_class_weights (inverse-frequency, div-by-zero safe), compute_metrics_for_trainer
(macro F1 + accuracy), and WeightedTrainer.compute_loss (**kwargs-safe for
Transformers 4.38+ num_items_in_batch). All 12 tests pass.
Replace CSS keyframe dismiss classes and inline cardStyle/deltaX/deltaY
with useCardAnimation composable — pickup/setDragPosition/snapBack/animateDismiss
are now called from pointer event handlers and a dismissType watcher.
TDD: 8 tests written first (red), then composable implemented (green).
Adapts to Anime.js v4 API: 2-arg animate(), object-param spring(),
utils.set() for instant drag-position updates without cache desync.
