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).
55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
"""Tests for automaton.dashboard.core.board."""
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from pathlib import Path
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import pytest
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from automaton.dashboard.core.board import KanbanBoard
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from automaton.dashboard.core.task import determine_task_state
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def _task(name: str, tmp_path: Path, artifacts: dict[str, str]) -> object:
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from automaton.dashboard.core.task import Task
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task_dir = tmp_path / name
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task_dir.mkdir(parents=True)
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for filename, content in artifacts.items():
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(task_dir / filename).write_text(content)
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state, _, artifact_map = determine_task_state(task_dir)
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return Task(name=name, folder_path=task_dir, state=state, artifacts=artifact_map)
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def test_board_columns(tmp_path: Path) -> None:
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tasks = [
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_task("research", tmp_path, {"SPEC.md": "# Spec"}),
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_task("done", tmp_path, {"VERDICT.md": "## Status: PASS"}),
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]
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board = KanbanBoard(tasks)
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assert board.columns[tasks[0].state] == [tasks[0]]
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assert board.columns[tasks[1].state] == [tasks[1]]
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def test_board_filter_by_phase(tmp_path: Path) -> None:
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research = _task("research", tmp_path, {"SPEC.md": "# Spec"})
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done = _task("done", tmp_path, {"VERDICT.md": "## Status: PASS"})
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board = KanbanBoard([research, done])
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filtered = board.filter_columns(phase_filter=research.state)
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assert research in filtered[research.state]
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assert done not in filtered[research.state]
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def test_board_search(tmp_path: Path) -> None:
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apple = _task("apple-task", tmp_path, {"SPEC.md": "# Spec"})
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banana = _task("banana-task", tmp_path, {"SPEC.md": "# Spec"})
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board = KanbanBoard([apple, banana])
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filtered = board.filter_columns(search_query="apple")
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assert apple in filtered[apple.state]
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assert banana not in filtered[banana.state]
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def test_board_wip_count(tmp_path: Path) -> None:
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research = _task("research", tmp_path, {"SPEC.md": "# Spec"})
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done = _task("done", tmp_path, {"VERDICT.md": "## Status: PASS"})
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board = KanbanBoard([research, done])
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assert board.get_wip_count() == 1
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