Summary
Add burnup chart visualizations and per-node product tracking to the registry status reporting pipeline so operators can monitor data loading progress trends over time and identify which nodes are contributing products.
Motivation
The existing status reports provide point-in-time counts of missing, staged, and loaded products but offer no trend visibility. A burnup chart showing loaded products over time, broken down by registry node, would help operators identify loading rate, progress toward completeness, and per-node contributions.
Acceptance Criteria
🤖 Generated with Claude Code
Summary
Add burnup chart visualizations and per-node product tracking to the registry status reporting pipeline so operators can monitor data loading progress trends over time and identify which nodes are contributing products.
Motivation
The existing status reports provide point-in-time counts of missing, staged, and loaded products but offer no trend visibility. A burnup chart showing loaded products over time, broken down by registry node, would help operators identify loading rate, progress toward completeness, and per-node contributions.
Acceptance Criteria
generate_registry_status_reports.pygenerates burnup history CSVs (burnup_history.csv,burnup_by_node.csv) tracking loaded product counts over timeburnup_chart.html) is generated and committed todocs/status/loaded_bundles_in_registry.csv,loaded_collections_in_registry.csv) are generatedconf/status/docs/status/README.mddocuments the new outputs🤖 Generated with Claude Code