When metric FQN contains spaces (e.g. 'Active2 Customers'), JavaScript
was creating invalid URLs with literal spaces. Now properly encoding FQN
with encodeURIComponent() to convert spaces to %20 before sending to API.
Flask automatically decodes the path parameter back to original FQN.
- Add get_metric_by_fqn() to OpenMetadataClient
- Add get_metrics() to CatalogEnricher with TTL caching
- Implement _parse_om_metric() to extract category/grain from OpenMetadata tags
- Implement _load_metrics_from_catalog() to fetch and categorize metrics
- Implement _build_om_metric_detail() to convert OpenMetadata format to MetricParser JSON
- Add /api/catalog/metrics/<fqn> endpoint for metric detail modal
- Update _load_metrics_data() to prefer catalog over YAML fallback
- Update metric_modal.js to route catalog:{fqn} to catalog API endpoint
- Delete 10 demo YAML files from docs/metrics/
- Replace metric tests with new unit tests for catalog parsing functions (19 tests)
Catalog metrics provide single source of truth vs maintaining demo YAML files.
UI remains unchanged - only data source changes from YAML to OpenMetadata catalog.
New pluggable auth provider that sends passwordless sign-in links.
Works with domain restriction (same as Google OAuth). Falls back to
showing the link in browser when SMTP is not configured (dev mode).
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.