13a2867ef6
End-to-end implementation per docs/sprint-2.5-plan.md. New requirement added by user mid-sprint: 4-role RBAC (Super Admin / Engineer / Owner / User) with dual-auth for Engineer flashing firmware, plus a "mini Arduino IDE" inside the Studio. Tests: pytest 231/231 green (129 Sprint 2 + 102 Sprint 2.5 new). RBAC core (arautopilot/core/): - rbac.py: 4 roles, 12 capabilities, immutable capability matrix, has() / capabilities_of() / require() / requires_dual_auth() helpers. Engineer flashing firmware needs SA approval; everything else is single-factor. - user.py: User model with PBKDF2-HMAC-SHA256 PIN hashing (200k iters, 16-byte salt, self-describing hash format for future migrations). 4-8 digit numeric PINs enforced. - user_store.py: JSON-backed user database. seed_demo_users() for first-run UX. - audit.py: append-only JSONL audit log. AuditEvent with timestamp, user_id, role, action, target, outcome, reason, secondary_user_id for dual-auth, optional extra payload. Crypto signing of lines deferred to Sprint 8. Studio GUI (arautopilot/studio/): - app.py: real entry point (replaces Sprint 0 stub). --seed-demo populates demo users without launching GUI; --data-dir overrides the ~/.ar-autopilot/studio/ default. - session.py: Session + SessionHolder. check() always audits the decision; verify_super_admin_pin() + log_dual_auth_grant() for dual-auth flows. - login_window.py: modal login dialog with user picker + PIN field. Audits login attempts (success and bad-PIN denials). - main_window.py: top-level window with sidebar (user + role + caps) and tab area (Overview, Flash Console, Project placeholder, Telemetry placeholder). - flash_console.py: the "mini Arduino IDE". Lists serial ports via pyserial; picks firmware variant (esp32-dev / esp32-debug); compiles via 'pio run'; flashes via 'pio run -t upload --upload-port <port>'; streams pio output to a dark-themed read-only console; supports cancel. For Engineer flashes, asks the Super Admin for their PIN inline before invoking pio. Records dual-auth grant + pio exit code in the audit log. Dependencies: - New [project.optional-dependencies] group 'studio': PySide6>=6.6, pyserial>=3.5, platformio>=6.1. Kept optional so the core can be installed in lean / CI environments. Tests (arautopilot/tests/): - test_rbac.py: 32 tests for capability matrix, dual-auth policy, no-privilege-escalation invariants, partial overlap between roles. - test_user.py: 11 tests for PIN hashing, verification, salting, serialisation, field validators. - test_audit.py: 9 tests for JSONL append, immutability, round-trip, corrupt-line detection, dual-auth event shape, blank-line tolerance. - test_user_store.py: 10 tests for CRUD, persistence, role filtering, demo seed idempotency. - test_session.py: 9 tests for capability checks + audit side effects, SA PIN verification, dual-auth recording, SessionHolder lifecycle. - test_studio_smoke.py: 5 headless tests verifying Studio modules import without a display server, --seed-demo works, helpers safe to call without hardware. NOT in Sprint 2.5 (intentional): - Crypto signing of audit log lines (hash-chain) -- Sprint 8 - HWID binding of the user store -- Sprint 8 - Project configurator + .appack compiler -- Sprint 4 - Flutter bridge display -- Sprint 4 - Telemetry dashboard tab -- Sprint 4 - Serial monitor as a separate tab -- future enhancement Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
112 lines
3.7 KiB
Python
112 lines
3.7 KiB
Python
"""AR-Autopilot Studio application entry point.
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Usage:
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python studio_main.py # launch the GUI
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python -m arautopilot.studio.app # same
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python -m arautopilot.studio.app --seed-demo
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# populate the local user store
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# with one of each role + default
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# PINs (1111 SA, 2222 Eng,
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# 3333 Owner, 4444 User)
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The Studio runs locally on the integrator's workstation. The dedicated
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bridge display is a separate Flutter app (Sprint 4+); the two share the
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same data model (``arautopilot.core``) and Modbus register map
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(``arautopilot.shared.modbus_register_map``).
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"""
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from __future__ import annotations
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import argparse
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import sys
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from pathlib import Path
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from arautopilot.core.audit import AuditLog
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from arautopilot.core.user_store import UserStore, seed_demo_users
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from arautopilot.studio.session import studio_data_dir
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def run(argv: list[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument(
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"--seed-demo",
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action="store_true",
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help="Populate the local user store with one of each role + default "
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"PINs (1111/2222/3333/4444). Then exit.",
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)
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parser.add_argument(
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"--data-dir",
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type=Path,
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default=None,
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help="Override the per-user data directory. Defaults to "
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"~/.ar-autopilot/studio/.",
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)
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args = parser.parse_args(argv)
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data_dir = args.data_dir or studio_data_dir()
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data_dir.mkdir(parents=True, exist_ok=True)
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user_store = UserStore(data_dir / "users.json")
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audit_log = AuditLog(data_dir / "audit.jsonl")
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if args.seed_demo:
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before = len(user_store)
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seed_demo_users(user_store)
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after = len(user_store)
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print(
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f"User store at {user_store.path}: {before} -> {after} users.\n"
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"Demo PINs: 1111 (Super Admin), 2222 (Engineer), 3333 (Owner), "
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"4444 (User).\n"
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"Change them with the Studio's user manager (Sprint 4+) before "
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"shipping to a customer."
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)
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return 0
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# Lazy-import the Qt machinery so that --seed-demo (and pytest collection
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# of this module) does not depend on a working display server.
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try:
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from PySide6.QtWidgets import QApplication, QMessageBox
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except ImportError:
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sys.stderr.write(
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"PySide6 is not installed. Run:\n\n"
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" pip install -e \".[studio]\"\n\n"
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"or:\n\n"
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" pip install PySide6 pyserial\n"
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)
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return 2
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from arautopilot.studio.login_window import LoginDialog
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from arautopilot.studio.main_window import StudioMainWindow
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app = QApplication(sys.argv)
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app.setApplicationName("AR-Autopilot Studio")
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if len(user_store) == 0:
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QMessageBox.information(
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None,
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"No users",
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"The local user store is empty. The Studio will seed it with "
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"demo users (PINs 1111/2222/3333/4444). Change them immediately "
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"in production.",
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)
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seed_demo_users(user_store)
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login = LoginDialog(store=user_store, audit=audit_log)
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win_holder: list[StudioMainWindow] = []
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def on_logged_in(_session: object) -> None:
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from arautopilot.studio.session import SessionHolder
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session = SessionHolder.require()
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win = StudioMainWindow(session)
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win.show()
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win_holder.append(win)
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login.logged_in.connect(on_logged_in)
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if login.exec() == 0 and not win_holder:
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return 0
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return app.exec()
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if __name__ == "__main__":
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sys.exit(run())
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