vudt15 2a5ee29c2c fix(qa): resolve DF-002 through DF-011 from QA defect tracking sheet
Batch of fixes for defects tracked in "Task Tracking Template.xlsx" (sheet
Defect Management), verified against the sheet's Root Cause/Cach xu ly
columns before this commit:

- DF-002: Co4E node status not reflected after tab switch + missing
  edit-lock on running/done nodes (node_property_panel.py, co4e_runs.py,
  co4e_workflow_crud.py, co4e_canvas_widget.py, co4e_flow_tabs.py,
  canvas_items.py)
- DF-003: hide the run.bat console window unless the app exits with an
  error (run.bat, scripts/console_visibility.ps1 - new)
- DF-004: floating Help Assistant icon covering the Send button after a
  window resize (presentation/shell/main_window.py)
- DF-005: "block network" toggle didn't stop ICMP/raw-socket tools like
  ping (infrastructure/filesystem/command_tools.py,
  security/command_risk_classifier.py)
- DF-006: Monitoring "gay nang khi log lon" - root cause was re-reading
  the ENTIRE audit log history every 3s tick, not missing pagination;
  bounded to a 30-day window (presentation/monitoring/monitoring_tab.py)
  AND added the "So dong/trang" page-size control the ticket also asked
  for (presentation/monitoring/shared/event_table.py,
  shared/filter_scaffold.py, tabs/action_logs_tab.py, tabs/mcp_tab.py,
  tabs/security_events_tab.py, i18n/agents_admin_tab.py)
- DF-007: support choosing a OneDrive/SharePoint folder as a project's
  working directory via Microsoft Graph, downloaded as a local mirror
  with manual sync (core/projects.py, core/ms365_graph.py,
  core/cloud_workspace_sync.py - new, ui/ms365_signin_dialog.py - new,
  ui/cloud_folder_picker_dialog.py - new, i18n/cloud_workspace.py - new,
  ui/workspace_tab.py)
- DF-008: AI-edit instruction box was a fixed-height single-line QLineEdit;
  replaced with an auto-expanding, Enter-to-send/Shift+Enter-newline input
  (presentation/folder/ai_file_editor_dialog.py)
- DF-011: run_command failed with WinError 267 for a project whose
  per-turn output directory had never been created
  (application/conversations/core_runtime_adapter.py)

DF-009 (AI-edit Apply/Discard buttons easy to miss) and DF-010 (AI reply
language - dev-confirmed not a bug) are intentionally NOT part of this
commit: DF-009 has no code fix yet (still "Assigned" in the sheet, only a
UX recommendation was recorded), DF-010 was rejected as expected behavior.

Tests: tests/test_cloud_workspace_sync.py, tests/test_ms365_cloud_dialogs.py,
tests/test_ai_file_editor_input.py, tests/test_monitoring_page_size.py (all
new, all passing). Full suite: 896 passed, 13 known-and-documented failures
unrelated to this change (an existing core/audit_log.py bug, this checkout
not being a git repo before now, and a repo/subprocess folder-naming
mismatch affecting ~66 characterization tests) - see the sheet's DF-006
Evidence column for details.
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Cowork Local

Cowork Local is the internal AI cowork desktop platform. It provides a local-first desktop runtime, multi-turn conversational agents, workspace isolation, task scheduling, MCP connectors, security guardrails, and model routing.


🏛️ 4-Tier Clean Architecture

The codebase strictly adheres to Clean Architecture with unidirectional inward dependencies:

presentation/ (PySide6 UI, Shell, NavRail, Chat, Scheduling, Settings, Dashboard)
      │
      ▼
application/ (Pure Python Orchestration: Conversations, Scheduling, Workspaces, Monitoring, Routing)
      │
      ▼
domain/ (Pure Python: Entities, Immutable Execution Requests, Agent Events, Descriptors)
      ▲
      │
infrastructure/ (Adapters, LLM Providers, Atomic Persistence, Keyring SecretStore, MCP)
  • Domain & Application Layers: 100% Pure Python (zero Qt/UI imports).
  • Single Responsibility: Every production module is strictly <= 400 LOC.
  • Security & Durability: API keys stored in OS Keyring; atomic JSON disk persistence.

🚀 Quick Start

1. Windows — two double-clicks

install.bat      once, to install the Python dependencies
run.bat          every time, to start the app

install.bat builds an isolated virtualenv under %LOCALAPPDATA%\CoworkLocal (deliberately outside the repo — the quality gates walk the whole directory tree, so a .venv in here would turn every vendored module into a Gate O violation). Add --dev to also install the test dependencies, or --system to skip the virtualenv and install into the Python already on PATH.

Both scripts also make the source importable under its package name. That step is not optional: python -m cowork_local only resolves when the checkout directory is literally named cowork_local, and the MS365 MCP server is launched as a subprocess with python -m cowork_local.mcp_servers.ms365_server, so a differently-named checkout breaks the app and its subprocesses. The scripts create a junction instead of forcing anyone to rename their folder.

2. Any platform — run from source

From the parent of a checkout directory named cowork_local:

python -m cowork_local

3. Run Automated Tests

python -m pip install -r requirements.txt
pytest -q

There is one requirements file, not a runtime/test pair. A separate test file would hold only pytest: 64 of the 108 test modules build real widgets, and 20 of them import PySide6 unguarded at module scope, so it would have to pull in almost the whole runtime list anyway — two files for one near-identical list is just a second place for the pins to drift.


🛡️ CASAN Quality Gate & Verification

Before submitting any Pull Request, run the unified CASAN Quality Gate:

# Run all 4 quality gates (Clean Arch, Secrets, LOC, and Pytest Suite)
python scripts/run_quality_gate.py

# Run static and architectural guards only (fast check)
python scripts/run_quality_gate.py --skip-tests

Individual guard scripts:

  • Clean Architecture Import Guard: python scripts/check_imports.py
  • Secrets & Plaintext Audit: python scripts/audit_security.py
  • Single Responsibility LOC Guard: python scripts/check_loc.py --max-lines 400
  • Release E2E Smoke Test: pytest tests/e2e/test_smoke.py -v

🤝 Contributing & Recipes

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