vudt15andClaude Sonnet 5 69ab8e125b feat(R07): task repository, schedule calculator, Qt clock adapter, task/AI-planner services
Team Hoa, EPIC R07 (Scheduling & Workflow Runtime) - Team Hoa scope only
(R07-T01 -> T05; R07-T06 Co4EWorkflowService is Team Nam's).

- R07-T01: infrastructure/persistence/json/task_repository_impl.py wraps
  core/tasks.py's CRUD; core/tasks.py::save_task now writes through
  atomic_write.write_json (same durability fix as R06-T02, save_task was
  still doing a plain write_text).
- R07-T02: domain/tasks/schedule_calculator.py::ScheduleCalculator - the
  cron/interval/daily/weekly/monthly due-time math extracted from
  core/tasks.py, pure Python with is_holiday/make_cron injected so domain/
  never imports core (ADR-001 I2). core/tasks.py keeps its old function
  names as thin wrappers so every existing caller is unchanged. This was
  previously untested; now has its own unit suite.
- R07-T03: infrastructure/qt/qt_scheduler_clock.py::QtSchedulerClock wraps
  the QTimer TaskScheduler used to own directly, injected via a new
  `clock=` constructor param (defaults to a real one). Originally planned
  at platform/qt/... ; moved after confirming that name shadows the
  stdlib platform module (used by core/windows_sandbox_vm.py,
  core/appcontainer_sandbox.py) whenever the repo root is on sys.path.
  tests/fakes/fake_clock.py lets scheduler dispatch be tested tick-by-tick
  with no Qt event loop.
- R07-T04: application/scheduling/task_application_service.py centralizes
  run_now/duplicate/pause/delete/bulk_delete and the Kanban drag-drop
  business rules (move_to_status), currently only reachable by driving
  the real ui/schedule_task_tab.py widget.
- R07-T05: application/scheduling/ai_task_planner_service.py wraps
  core/ai_task_planner.py::plan_tasks and core/task_import.py::import_tasks
  as a seam, plus the attachment-stamping step that used to only exist
  inside the AI-create dialog's worker closure.

pytest: 328 pass (same 4 pre-existing failures as the R05/R06 baseline,
unrelated to this work - see docs/refactor/BaoCao_TeamHoa_R05_R06.md).
scripts/check_imports.py: PASS.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-27 17:27:53 +09:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00

Cowork Local

Cowork Local is the internal AI cowork desktop platform owned by the Cowork Team. It provides the Cowork runtime, workspace and agent experiences, MCP/connectors, security controls, and model routing foundation.

The Cowork Team owns this product and its stable branch. The FSG AI Core Team contributes selected reusable capabilities through branches and Pull Requests; it is not the owner or final merger of this repository.

Quick start

The imported application is a Python/PySide6 package. Run it from the directory that contains cowork_local:

python -m cowork_local

The source snapshot does not include a complete runtime dependency manifest. Use the Cowork Team's supported runtime environment until that packaging contract is documented. The reliable automated test surface currently checked by CI is:

python -m pip install -r cowork_local/requirements-test.txt
python -m pytest cowork_local/tests -q

When already inside this repository, run python -m pytest tests -q.

Configuration and runtime data live under ~/.cowork_local/. Provider keys and local unlock codes must be supplied through environment variables or an approved secret manager; see .env.example.

Contributing

Start with START_CONTRIBUTING.md, then read CONTRIBUTING.md. Core AI task execution remains in fsg-ai-core-assets; source changes are reviewed as Pull Requests in this repository.

Security concerns should follow SECURITY.md. Ownership and completion rules are documented under docs/governance/.

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Cowork Local — internal AI cowork platform and shared foundation for FSG AI capabilities.
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