# Interactive supervised extraction UX This directory contains the supplied interactive-UX design documents, aligned with the implementation as of 2026-05-12. The product direction is to turn drum sample extraction from a one-shot batch process into an interactive, supervised, progressively improving workflow. User edits should become constraints, preferences, and examples that improve clustering, review priority, labeling, and cleanup instead of only changing a visible table row. ## Current implementation status The project now has a first supervised-editing foundation layered on top of the immutable extraction manifest: - `supervised_state.py` persists `supervision_state.json` beside each completed run manifest. - The state contains hits, clusters, confidence scores, review queue entries, constraints, events, suggestions, and undo snapshots. - The FastAPI backend exposes state, move, pull-out, lock, suppress, review/favorite, suggestion, explanation, and undo endpoints. - The browser UI includes an interactive supervision panel with a review queue, cluster board, suggestion inbox, constraint/event log, and cluster explanation drawer. - The supervised layer now rewrites edited sample WAVs, MIDI, target reconstruction, full-context reproduced audio, and ZIP artifacts under `supervised/` while preserving original batch outputs. ## Documents | Document | Purpose | Alignment status | |---|---|---| | [`FEATURE_REQUIREMENTS.md`](./FEATURE_REQUIREMENTS.md) | Functional requirements for interaction-driven quality improvements | Updated with implemented/partial/not-started status | | [`SCOPE.md`](./SCOPE.md) | MVP, v2, and research/backlog boundaries | Updated to reflect delivered MVP foundation | | [`FEASIBILITY_MATRIX.md`](./FEASIBILITY_MATRIX.md) | Feasibility, complexity, effort, UX value, quality value table | Kept as design prioritization with implementation notes | | [`TASKS.md`](./TASKS.md) | Implementation task breakdown with dependencies and acceptance criteria | Updated with current task statuses | | [`PROGRESS.md`](./PROGRESS.md) | Current status, completed work, open work, next actions | Updated after this development pass | | [`ARCHITECTURE_NOTES.md`](./ARCHITECTURE_NOTES.md) | Required state model and technical approach | Updated with actual module/API mapping | ## Principle Good interaction: ```text user moves one hit into another cluster → system creates force-cluster/must-link constraints → semantic state recomputes confidence and review priority → similar ambiguous hits are proposed as suggestions → the UI explains the state/event/constraint changes ``` Bad interaction: ```text user moves one hit → only that one visible DOM row changes → future clustering ignores the correction ``` ## Current build recommendation Next implementation should close the gap between semantic edits and artifact output: 1. Re-export edited sample pack from `supervision_state.json` without rerunning Demucs/onset detection. 2. Add waveform click-to-add missed onset backed by `force-onset` constraints. 3. Add restore for suppressed hits and batch accepted suggestions. 4. Make move/pull-out trigger a real local reclustering pass using cached feature vectors. 5. Add visible diff previews before accepting grouped suggestions. 6. Add browser-level tests for the interactive supervision panel. The strongest technical foundation remains constraint-aware clustering plus uncertainty-driven review. The current pass implements the persistent state and UI/API shell needed for that foundation. ## Pass 5 implementation status Implemented after initial alignment: - supervised edited-state export under `supervised/`, - add-onset waveform mode backed by `POST /api/jobs/{job_id}/hits/force-onset`, - suppressed-hit restore backed by `POST /api/jobs/{job_id}/hits/{hit_id}/restore`, - exact suggestion diff previews in API state and UI, - validation via `scripts/test_supervised_export_and_force_onset.py`. Still open: - cluster merge/relabel/split workflows, - cached feature-vector local reclustering, - edited-vs-original comparison, - browser-level UI tests.