New src/rbac.py: Role enum, hierarchy, get_user_role(), has_role(),
is_admin(), is_km_admin(), has_dataset_access(), set_user_role().
webapp/auth.py: admin_required + km_admin_required now use DuckDB
roles instead of Linux groups (pwd.getpwnam + sudo/data-ops check).
app/auth/dependencies.py: imports Role from src/rbac.py (single source).
11 RBAC tests passing.
Add admin curation layer between AI extraction and knowledge distribution.
Admins (km_admin flag in instance.yaml) can approve, reject, mandate, and
revoke knowledge items. Mandatory items distribute to all targeted users
automatically.
Three governance modes (configurable per instance):
- mandatory_only: admin controls everything, no user voting
- admin_curated: admin controls, users vote as feedback signal
- hybrid: mandatory from admin + optional from user voting
Three approval workflows:
- review_queue: nothing published without admin approval
- auto_publish: items go live immediately, admin intervenes retroactively
- threshold: confidence-based auto-publish (Phase 5)
Includes:
- 9 admin action functions (approve/reject/mandate/revoke/edit/batch/...)
- 11 new admin API endpoints under /api/corporate-memory/admin/
- Immutable audit log (audit.jsonl)
- Audience targeting via groups
- Automatic migration of existing items to "approved" status
- km_admin_required auth decorator
- 69 tests covering all governance logic
- Backward compatible: no config = legacy wiki behavior
- Support comma-separated domains in auth.allowed_domain config
- Use full email as system username (user@domain.com -> user_domain_com)
to avoid collisions with reserved names and across domains
- Update both auth providers (google, email) for multi-domain display
- Add tests for username generation and update email auth tests
Open-source AI data analyst platform extracted from internal repo.
Includes data sync engine, Keboola adapter, Flask web portal,
server deployment scripts, and configuration templates.
