Lap Tran
bc7daf8590
- **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).
69 lines
3.4 KiB
Markdown
69 lines
3.4 KiB
Markdown
# Wire DashboardConfig + Add Caching + Add Size Limits
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## Goal
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Activate the dead `DashboardConfig` module, add basic server-side caching to eliminate redundant disk I/O on every API request, and add input size limits to the review POST endpoint.
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## Requirements
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### R1. Wire DashboardConfig into the frontend
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`dashboard/config.py` defines 5 settings but none are consumed by the server or client. `self.config` is loaded at `ui/app.py:323` and immediately abandoned.
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**Fix**:
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- Add `GET /api/config` endpoint returning `config.to_dict()`
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- Add `PUT /api/config` endpoint accepting `body: dict` and calling `config.save()`
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- On dashboard init (`dashboard.js:466`), fetch `/api/config` and apply:
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- `auto_refresh_interval` → set polling interval (default 2s)
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- `default_view` → switch to board/stats/timeline on load
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- `theme` → set CSS `data-theme` attribute
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- `show_timelines` → show/hide timeline elements
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- `column_width` → set CSS `--col-min-width` variable
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- Remove hardcoded `setInterval(refreshData, 2000)` on line 462 and use config value
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### R2. Add server-side caching for task scans
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Currently every `/api/tasks`, `/api/task/{name}`, and `/api/review-summary` call does a full `discover_tasks()` — reading all artifact files from disk. At 2s polling, this is thousands of file reads per minute for ~84KB of data.
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**Fix**:
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- Add a module-level cache with TTL (e.g., 1 second or triggered by review writes)
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- `/api/tasks` returns cached data within TTL window
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- `/api/task/{name}` looks up task by name from cached list instead of re-scanning
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- Writing a review (`/api/task/{name}/review` POST) invalidates the cache
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- Cache stores the list of `Task` objects, not the serialized JSON
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### R3. Add input size limits to review POST
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`ui/app.py:250-263` reads `content_length` from the header and reads the full body with no bounds check. A malicious client can:
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- Send `Content-Length: 999999999` and never send the body → blocks single-threaded server (DoS)
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- Send a 10MB comment → writes 10MB to REVIEW.md (disk abuse)
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**Fix**:
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- Add `MAX_POST_BODY = 65536` (64KB) constant
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- If `content_length > MAX_POST_BODY`, return 413 Payload Too Large
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- If `content_length <= 0`, return 400 Bad Request
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- Cap `comment` to 4096 characters before writing to disk
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### R4. Add `/api/task/{name}` to use cache
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`_serve_task()` at `ui/app.py:170-195` calls `discover_tasks()` to find one task. Use the cache from R2 for O(1) lookup.
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## Acceptance Criteria
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- [ ] `GET /api/config` returns current config as JSON
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- [ ] `PUT /api/config` with `{"theme": "dark"}` persists to `dashboard-config.json`
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- [ ] Dashboard JS reads config on init and applies theme, default_view, auto_refresh_interval
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- [ ] Changing config via dashboard-config.json and restarting dashboard applies the settings
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- [ ] `/api/tasks` within TTL returns cached data (no disk reads on second poll)
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- [ ] Writing a review via POST invalidates cache; next `/api/tasks` re-reads from disk
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- [ ] POST with `Content-Length: 1000000` returns 413
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- [ ] POST with comment > 4096 chars truncates to 4096 before writing
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- [ ] `test_config.py` tests still pass
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- [ ] `test_app.py` tests still pass
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## Non-Goals
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- Not implementing persistent caching (disk/memcached) — in-memory TTL is sufficient
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- Not adding authentication to config endpoints (config changes require local access by design)
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- Not optimizing `discover_tasks()` itself — the cache removes the hot path
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