Implements Task 4 — five Typer commands under `da metrics`:
- list/show use api_get() to query the server API
- import/export/validate access DuckDB directly via MetricRepository
and TableRegistryRepository (no server required)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Replace padak/tmp_oss → keboola/agnes-the-ai-analyst in all docs, infra, CLI
- Replace your-org/ai-data-analyst → keboola/agnes-the-ai-analyst in README, Jira docs
- Remove real GCP project ID from terraform.tfvars.example
- Delete internal draft documents (dev_docs/draft/)
- Update infra/main.tf to clone from main branch
da admin register-table: register single table
da admin discover-and-register: auto-discover from Keboola API + bulk register
da admin list-tables: show all registered tables
Used to register all 142 Keboola tables on production.
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.
- POST /auth/bootstrap — creates first admin, self-deactivates after
- da setup bootstrap — CLI command for agent-driven setup
- da setup verify — structured health check (JSON output for agents)
- cli/skills/deploy.md — complete deployment guide for AI agents
- 6 bootstrap tests including full agent deployment flow simulation
- 156 total tests passing
- SyncSettingsRepository + DatasetPermissionRepository with RBAC
- Script deploy/run/undeploy API with import sandboxing
- User sync settings API with permission checks
- 4 CLI skills (connectors, security, notifications, corporate-memory)
- Kamal production + staging configs
- GitHub Actions CI + deploy workflows
- 91 total tests passing
