- **Restore 82 completed tasks** from tasks/complete/ back to tasks/ top level (all <7 days old per the cleanup policy; premature bulk archive was fixed). - **Dashboard: fix scroll-reset on auto-refresh** — renderBoard rebuilds the board via innerHTML every 2s, destroying each column-body's scrollTop. Now snapshots column-body scrollTop + board.scrollLeft + view.scrollTop before rebuild and restores after (matched by PHASE_GROUPS index). - **Dashboard UI additions** (pre-existing unstaged work): approval section cards, transition buttons, inline artifact editor (textarea for writing missing SPEC/VERDICT/etc from the detail modal). - **Bind ornith as Implement model** — config.md: Model explicit to omlx/Ornith-1.0-35B-4bit-mlx, context window 32768. Interactive autopilot already used ornith via opencode default; now explicit. - **Fix cleanup stub** — automaton-cleanup.sh had a stale --project arg pointing at a pytest temp dir (test isolation leak). Rewired to point at ~/.automaton. - **Fix plist-isolation test** — test asserted host plist doesn't exist, but a real install creates it. Now snapshots mtime before run, asserts unchanged after (only a write during the test counts as bleed). - **New Playwright smoke test** (tests/test_dashboard_ui.py) — 2 tests: board renders tasks, column scroll survives auto-refresh tick. Verified the test fails without the scroll fix (scrollTop resets to 0). Skipped via importorskip when playwright is absent (main CI stays green). - **Clarify SI loop scope in README** — new-project onboarding section documents the framework-scoped self-improvement loop and options (leave/pause/create project loop). - **CHANGELOG** documents all changes including the known model-divergence gap (mde tasks marked complete but per-role model binding was never implemented).
1.1 KiB
1.1 KiB
Spec: fix-dashboard-read-state
Problem
automaton/dashboard/core/task.py:462 (determine_task_state) infers task phase purely from artifact files, never reading the .state file. This contradicts prompts/workflow.md which declares .state as the "single source of truth." The dashboard cannot reflect the actual enforced state.
Fix
Read the .state file first in determine_task_state(). If .state exists, parse the phase and map it to a TaskState. Fall back to artifact heuristics only if .state doesn't exist (pre-v2.0 tasks).
The phase string in .state may include substates like research:awaiting_approval — map these to their base phase (research).
Acceptance Criteria
- A task in
implementphase (per.state) shows asIMPLEMENTin the dashboard even without IMPLEMENTATION.md - A task in
test_designphase shows asTEST_DESIGN, notIMPLEMENT - A task without
.statestill uses artifact heuristics (backward compat) - Existing dashboard tests in
test_task.pystill pass - Add test verifying
.statetakes precedence over artifacts