Restore archived tasks, fix dashboard scroll-reset, bind ornith, add Playwright smoke test
- **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).
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# Add Decomposition Content to Dashboard Data Model
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## Goal
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Add missing content fields to the `Task` model so the dashboard can display wave structure from `DECOMPOSITION.md`, parent task context from `PARENT_SPEC.md`, and VRAM constraints from `VRAM_CONFIG.md`.
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## Requirements
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### R1. Add `decomposition_content` to Task model
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`automaton/dashboard/core/task.py`: The `Task` dataclass has six content fields (`spec_content`, `verdict_content`, `bug_report_content`, `adversarial_bug_report_content`, `doc_review_content`, `design_content`) but no `decomposition_content`. This is the root cause of the dashboard's inability to parse wave structure from `DECOMPOSITION.md`.
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**Fix**:
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- Add `decomposition_content: Optional[str] = None` field to the `Task` dataclass (`task.py:77-90`)
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- In `discover_tasks()` (`task.py:243-286`), load `DECOMPOSITION.md` content similar to how other artifacts are loaded
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- Add `"decomposition_content"` to the `/api/tasks` response in `ui/app.py` `_serve_tasks()` and `_serve_task()`
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### R2. Parse wave structure from DECOMPOSITION.md content
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Currently `dashboard.js:278-285` splits sub-tasks into waves using a 50/50 heuristic (`half = Math.ceil(task.sub_tasks.length / 2)`), completely ignoring the actual wave definitions in `DECOMPOSITION.md`.
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**Fix**:
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- Parse wave headers from `decomposition_content` (Python side): extract `### Wave 1:` and `### Wave 2:` sections and their sub-task lists
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- Store parsed wave data as `waves: list[WaveGroup]` on the `Task` model or as structured data in the API response
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- Each wave group contains: wave number, label, sub-task names
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- In `dashboard.js`, use parsed wave data instead of 50/50 heuristic for wave statistics
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- Fall back to 50/50 heuristic only when `decomposition_content` is unavailable
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### R3. Add `parent_spec_content` and `vram_config_content` to Task model
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Sub-tasks have `PARENT_SPEC.md` and `VRAM_CONFIG.md` but these are not in the `ARTIFACTS` dict and not visible in the API response or detail panel. The detail panel cannot show parent context or VRAM constraints.
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**Fix**:
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- Add `parent_spec_content: Optional[str] = None` and `vram_config_content: Optional[str] = None` to `Task`
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- Load these in `discover_tasks()` if the files exist
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- Include in the API response
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- Display in the detail panel when present (e.g., "Parent Context" and "VRAM Configuration" sections)
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### R4. Add `WaveGroup` dataclass
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Add a simple dataclass for wave metadata:
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```python
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@dataclass
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class WaveGroup:
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wave_number: int
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label: str
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sub_task_names: list[str]
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```
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### R5. Parse DECOMPOSITION.md wave sections
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Add a `parse_waves(content: str) -> list[WaveGroup]` function that extracts wave definitions from `DECOMPOSITION.md` content. Pattern: `### Wave N: label` followed by lines starting with `- subtask-name`.
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## Acceptance Criteria
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- [ ] `Task` model has `decomposition_content`, `parent_spec_content`, `vram_config_content` fields
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- [ ] `/api/tasks` response includes `decomposition_content` when present
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- [ ] `/api/tasks` response includes `parent_spec_content` and `vram_config_content` when present
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- [ ] `parse_waves()` correctly extracts wave structure from the template `DECOMPOSITION.md` in `templates/tasks/subtask-parent/`
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- [ ] Dashboard JS uses parsed wave data for Wave 1/Wave 2 statistics instead of 50/50 split
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- [ ] Detail panel shows "Parent Context" section when `parent_spec_content` exists
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- [ ] Detail panel shows "VRAM Configuration" section when `vram_config_content` exists
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- [ ] Existing tests pass
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- [ ] New test: `parse_waves` with real DECOMPOSITION.md content
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- [ ] New test: task with PARENT_SPEC.md and VRAM_CONFIG.md has content fields populated
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## Non-Goals
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- Not changing the DECOMPOSITION.md format
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- Not applying VRAM constraints — display only
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- Not modifying how sub-tasks are created or executed
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