OpenShift OVN-Kubernetes Benchmark MCP Server

Key Updates: 1. Enhanced Data Type Detection Added specific detection for cluster_info (from ovnk_benchmark_openshift_cluster_info.py) Added detection for prometheus_basic_info (from ovnk_benchmark_prometheus_basicinfo.py) Added detection for kube_api_metrics (from ovnk_benchmark_prometheus_kubeapi.py) Added detection for node_usage and pod_status data 2. Specialized Extraction Methods _extract_cluster_info(): Extracts cluster overview, resource counts, node summary, and health indicators _extract_prometheus_basic_info(): Handles OVN database size metrics with automatic byte-to-MB conversion _extract_kube_api_metrics(): Processes API latency metrics, top operations, and activity metrics _extract_node_usage(): Handles node usage data with role-based grouping _extract_pod_status(): Processes pod phase distribution 3. Smart Column Management Maximum 5 columns per table with intelligent column selection 2-column mode for overview/summary tables (Property-Value format) 3-4 columns for ranking/performance tables Priority-based column selection (keeps most important columns like name, status, value) 4. Improved Table Formatting Compact table creation with create_compact_tables() method Row limiting (max 15 rows) to prevent overly long tables Value truncation for readability (max 80 characters for text fields) Bootstrap styling for responsive HTML tables 5. New Specialized Functions convert_cluster_info_to_tables() - Optimized for cluster info JSON convert_prometheus_basic_to_tables() - Optimized for Prometheus metrics convert_kube_api_to_tables() - Optimized for API metrics create_dashboard_html() - Creates complete HTML dashboard from multiple sources export_tables_to_csv() - Exports tables to CSV files 6. Enhanced Error Handling Better error messages for different failure modes Graceful degradation when specialized extraction fails Detailed logging for debugging ##Usage Examples: # For cluster info cluster_tables = convert_cluster_info_to_tables(cluster_info_json) # For Prometheus basic info prom_tables = convert_prometheus_basic_to_tables(prometheus_json) # For API metrics api_tables = convert_kube_api_to_tables(kube_api_json) # Create complete dashboard dashboard_html = create_dashboard_html({ 'cluster_info': cluster_data, 'prometheus_basic': prom_data, 'kube_api': api_data })