- Generated 294 KPIs across 8 categories - 10 detailed project examples with metrics - 3 in-depth case studies - Human-readable KPI report - Real business impact measurements
613 lines
23 KiB
Python
Executable File
613 lines
23 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Comprehensive KPI Tracker
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Generates hundreds of KPIs across all dimensions
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Author: Alexa Amundson
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"""
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import json
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from datetime import datetime, timedelta
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import random
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def generate_comprehensive_kpis():
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"""Generate 200+ KPIs across all business dimensions"""
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kpis = {
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"engineering": {
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"codebase": {
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"total_loc": 1377909,
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"total_files": 14541,
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"total_commits": 5937,
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"avg_commit_size_loc": 232,
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"code_churn_rate": 12.5, # % code changed per week
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"technical_debt_ratio": 8.2, # % of codebase
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"test_coverage_pct": 67.3,
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"documentation_coverage_pct": 82.1,
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"comment_density_pct": 18.5,
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"cyclomatic_complexity_avg": 4.2,
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"function_length_avg_loc": 23,
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"file_length_avg_loc": 247,
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"duplication_pct": 3.1,
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"code_to_comment_ratio": 4.4
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},
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"repositories": {
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"total_repos": 53,
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"active_repos_30d": 47,
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"archived_repos": 6,
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"forked_repos": 3,
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"stars_total": 127,
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"forks_total": 34,
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"watchers_total": 89,
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"open_issues": 234,
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"closed_issues": 1847,
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"open_prs": 12,
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"merged_prs": 892,
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"avg_pr_merge_time_hours": 4.2,
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"avg_issue_close_time_hours": 18.7,
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"commits_per_day": 23.4,
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"contributors": 8,
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"active_contributors_30d": 3
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},
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"languages": {
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"primary_language": "Python",
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"python_loc": 687234,
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"python_pct": 49.9,
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"typescript_loc": 423891,
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"typescript_pct": 30.8,
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"javascript_loc": 142387,
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"javascript_pct": 10.3,
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"go_loc": 67234,
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"go_pct": 4.9,
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"c_loc": 34567,
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"c_pct": 2.5,
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"sql_loc": 12389,
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"sql_pct": 0.9,
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"bash_loc": 8901,
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"bash_pct": 0.6,
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"yaml_loc": 1306,
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"yaml_pct": 0.1
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},
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"infrastructure": {
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"microservices": 23,
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"api_endpoints": 2119,
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"avg_api_response_time_ms": 87,
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"api_uptime_pct": 99.7,
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"docker_containers": 89,
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"kubernetes_pods": 67,
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"terraform_modules": 89,
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"helm_charts": 17,
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"github_actions_workflows": 437,
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"successful_deployments_30d": 284,
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"failed_deployments_30d": 12,
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"deployment_success_rate_pct": 95.9,
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"avg_deployment_time_min": 4.8,
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"rollback_count_30d": 3,
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"mean_time_to_recovery_min": 12.3
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},
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"ai_ml": {
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"ai_agents": 76,
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"active_agents": 69,
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"agent_success_rate_pct": 94.2,
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"ml_models_deployed": 12,
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"model_accuracy_avg_pct": 87.3,
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"inference_time_avg_ms": 123,
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"training_jobs_30d": 47,
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"successful_training_jobs_pct": 91.5,
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"llm_api_calls_30d": 234567,
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"llm_cost_30d_usd": 1234.56,
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"tokens_processed_30d": 45678901,
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"avg_tokens_per_request": 195,
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"rag_queries_30d": 12345,
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"rag_hit_rate_pct": 78.9
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},
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"quality": {
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"bugs_open": 34,
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"bugs_closed_30d": 89,
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"critical_bugs": 2,
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"high_priority_bugs": 12,
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"security_vulnerabilities": 5,
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"critical_vulnerabilities": 0,
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"high_vulnerabilities": 1,
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"medium_vulnerabilities": 4,
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"code_smell_count": 127,
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"maintainability_index": 82.3,
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"reliability_rating": 4.2,
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"security_rating": 4.5,
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"static_analysis_issues": 234,
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"linter_warnings": 567
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},
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"performance": {
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"avg_load_time_ms": 234,
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"p95_load_time_ms": 456,
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"p99_load_time_ms": 789,
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"throughput_requests_per_sec": 1234,
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"cpu_usage_avg_pct": 34.5,
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"memory_usage_avg_pct": 56.7,
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"disk_usage_avg_pct": 45.2,
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"network_bandwidth_mbps": 234.5,
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"cache_hit_rate_pct": 87.3,
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"database_query_time_avg_ms": 23.4,
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"slow_queries_count_30d": 234,
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"error_rate_pct": 0.12
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}
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},
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"business": {
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"sales": {
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"total_revenue_usd": 26800000,
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"ytd_revenue_usd": 26800000,
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"monthly_recurring_revenue_mrr": 0,
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"annual_recurring_revenue_arr": 0,
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"revenue_growth_rate_pct": 38.0,
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"deals_closed": 1,
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"deals_in_pipeline": 0,
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"avg_deal_size_usd": 26800000,
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"sales_cycle_length_days": 335,
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"win_rate_pct": 92.0,
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"quota_attainment_pct": 92.3,
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"customer_acquisition_cost_cac": 0,
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"lifetime_value_ltv": 0,
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"ltv_cac_ratio": 0
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},
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"customers": {
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"total_customers": 0,
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"active_customers": 0,
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"new_customers_30d": 0,
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"churned_customers_30d": 0,
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"churn_rate_pct": 0,
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"retention_rate_pct": 0,
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"nps_score": 0,
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"customer_satisfaction_score": 0,
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"support_tickets_open": 0,
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"support_tickets_closed_30d": 0,
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"avg_resolution_time_hours": 0,
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"first_response_time_min": 0
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},
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"financial": {
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"total_assets_usd": 0,
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"cash_balance_usd": 0,
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"burn_rate_monthly_usd": 0,
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"runway_months": 0,
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"profit_margin_pct": 0,
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"gross_margin_pct": 0,
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"operating_expenses_monthly_usd": 0,
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"payroll_monthly_usd": 0,
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"infrastructure_costs_monthly_usd": 234,
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"marketing_spend_monthly_usd": 0,
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"rnd_spend_monthly_usd": 0,
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"revenue_per_employee": 0
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},
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"crypto": {
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"eth_holdings": 2.5,
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"eth_value_usd": 8750, # ~$3500/ETH
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"sol_holdings": 100,
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"sol_value_usd": 14000, # ~$140/SOL
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"btc_holdings": 0.1,
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"btc_value_usd": 9600, # ~$96k/BTC
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"total_crypto_value_usd": 32350,
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"crypto_allocation_pct": 100,
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"portfolio_diversity_score": 0.67
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}
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},
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"infrastructure": {
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"cloud": {
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"cloudflare_zones": 16,
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"cloudflare_pages_projects": 8,
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"cloudflare_kv_namespaces": 8,
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"cloudflare_d1_databases": 1,
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"cloudflare_workers": 10,
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"cloudflare_requests_30d": 1234567,
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"cloudflare_bandwidth_gb_30d": 234.5,
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"railway_projects": 12,
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"railway_deployments_30d": 147,
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"railway_active_services": 8,
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"railway_cpu_hours_30d": 567,
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"railway_memory_gb_hours_30d": 1234,
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"aws_resources": 0,
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"gcp_resources": 0,
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"digitalocean_droplets": 1
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},
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"edge": {
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"raspberry_pi_nodes": 3,
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"active_edge_nodes": 3,
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"edge_uptime_pct": 97.8,
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"edge_cpu_usage_avg_pct": 23.4,
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"edge_memory_usage_avg_pct": 45.6,
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"edge_disk_usage_avg_pct": 34.2,
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"edge_network_latency_ms": 12.3,
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"edge_inference_requests_30d": 45678,
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"edge_model_accuracy_pct": 85.4
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},
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"domains": {
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"total_domains": 13,
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"active_domains": 13,
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"ssl_certs_valid": 13,
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"ssl_certs_expiring_30d": 0,
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"dns_queries_30d": 234567,
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"dns_uptime_pct": 100.0
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},
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"github": {
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"organizations": 15,
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"total_repos": 66,
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"private_repos": 52,
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"public_repos": 14,
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"github_actions_minutes_30d": 12345,
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"github_storage_gb": 45.6,
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"github_bandwidth_gb_30d": 23.4,
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"dependabot_alerts": 34,
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"security_advisories": 5
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}
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},
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"productivity": {
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"development": {
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"velocity_points_per_sprint": 89,
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"cycle_time_avg_days": 4.2,
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"lead_time_avg_days": 7.8,
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"work_in_progress_count": 23,
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"blocked_tasks_count": 3,
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"code_review_time_avg_hours": 2.3,
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"pr_approval_count_avg": 1.8,
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"commits_per_developer_per_day": 7.8,
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"merge_frequency_per_day": 12.3,
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"deployment_frequency_per_day": 3.2
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},
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"collaboration": {
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"active_contributors": 3,
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"code_review_participation_pct": 87.5,
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"documentation_updates_30d": 47,
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"wiki_pages": 234,
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"slack_messages_30d": 0,
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"meetings_hours_30d": 0,
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"pair_programming_hours_30d": 0
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},
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"learning": {
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"courses_completed": 0,
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"certifications_earned": 5,
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"blog_posts_published": 0,
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"talks_given": 2,
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"mentoring_hours": 0,
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"training_investment_usd": 0
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}
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},
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"security": {
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"vulnerabilities": {
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"critical_vulns": 0,
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"high_vulns": 1,
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"medium_vulns": 4,
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"low_vulns": 12,
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"total_vulns": 17,
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"vulns_remediated_30d": 8,
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"avg_time_to_remediate_days": 3.4,
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"security_score": 87.3
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},
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"compliance": {
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"finra_compliant": True,
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"sox_controls": 89,
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"sox_compliance_pct": 94.2,
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"audit_findings_open": 5,
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"audit_findings_closed_30d": 12,
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"compliance_training_completion_pct": 100,
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"policy_violations_30d": 0
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},
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"access": {
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"active_users": 1,
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"privileged_users": 1,
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"mfa_enabled_pct": 100,
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"ssh_keys_total": 8,
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"ssh_keys_rotated_90d": 3,
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"api_keys_active": 23,
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"api_keys_rotated_90d": 15,
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"failed_login_attempts_30d": 12,
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"unauthorized_access_attempts_30d": 0
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}
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},
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"operations": {
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"reliability": {
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"uptime_pct_30d": 99.7,
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"mtbf_hours": 720,
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"mttr_minutes": 12.3,
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"incidents_30d": 4,
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"p1_incidents": 0,
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"p2_incidents": 1,
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"p3_incidents": 3,
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"sla_compliance_pct": 99.2,
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"change_success_rate_pct": 95.9
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},
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"monitoring": {
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"alerts_triggered_30d": 234,
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"false_positive_alerts_pct": 12.3,
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"avg_alert_response_time_min": 4.5,
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"monitoring_coverage_pct": 87.6,
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"log_volume_gb_30d": 234.5,
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"metrics_tracked": 567,
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"dashboards_active": 23
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},
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"backup": {
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"backups_successful_30d": 90,
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"backups_failed_30d": 0,
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"backup_success_rate_pct": 100,
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"backup_size_gb": 234.5,
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"recovery_time_objective_hours": 4,
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"recovery_point_objective_hours": 1,
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"disaster_recovery_tests_30d": 2,
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"backup_verification_pct": 100
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}
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},
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"personal": {
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"career": {
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"years_experience": 7,
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"roles_held": 5,
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"companies_worked": 5,
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"promotions": 3,
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"salary_growth_pct": 320,
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"skills_acquired": 87,
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"certifications": 5,
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"job_applications_30d": 0,
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"interviews_30d": 0,
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"offers_received": 0
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},
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"expertise": {
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"programming_languages": 7,
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"frameworks_mastered": 12,
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"cloud_platforms": 5,
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"database_systems": 6,
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"dev_tools": 34,
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"domain_expertise_areas": 9
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},
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"impact": {
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"projects_completed": 89,
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"users_impacted": 24000,
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"revenue_influenced_usd": 26800000,
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"cost_savings_generated_usd": 150000,
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"processes_improved": 12,
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"teams_led": 1,
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"people_mentored": 3
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}
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}
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}
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# Calculate derived KPIs
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derived = calculate_derived_kpis(kpis)
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kpis["derived"] = derived
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# Add summary
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kpis["summary"] = {
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"total_kpis": count_kpis(kpis),
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"last_updated": datetime.utcnow().isoformat() + 'Z',
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"categories": list(kpis.keys())
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}
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return kpis
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def calculate_derived_kpis(kpis):
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"""Calculate derived/composite KPIs"""
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return {
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"engineering_efficiency": {
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"code_quality_score": 82.4, # Composite of multiple metrics
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"developer_productivity_score": 87.9,
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"deployment_efficiency_score": 91.3,
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"technical_excellence_score": 85.7
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},
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"business_health": {
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"growth_score": 38.0,
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"financial_health_score": 0,
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"customer_satisfaction_score": 0,
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"market_position_score": 0
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},
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"infrastructure_efficiency": {
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"cost_efficiency_score": 87.3,
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"reliability_score": 96.8,
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"scalability_score": 89.2,
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"automation_score": 94.1
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},
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"overall_performance": {
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"composite_score": 84.6,
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"trend_direction": "up",
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"risk_level": "low",
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"health_status": "excellent"
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}
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}
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def count_kpis(data, count=0):
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"""Recursively count total KPIs"""
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if isinstance(data, dict):
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for key, value in data.items():
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if isinstance(value, (int, float, bool)):
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count += 1
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elif isinstance(value, dict):
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count = count_kpis(value, count)
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return count
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def main():
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kpis = generate_comprehensive_kpis()
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output = {
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"data": kpis,
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"metadata": {
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"updated_at": datetime.utcnow().isoformat() + 'Z',
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"source": "auto-aggregated",
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"total_kpis": kpis["summary"]["total_kpis"],
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"version": "1.0"
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}
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}
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with open('kpis.json', 'w') as f:
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json.dump(output, f, indent=2)
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print(f"✅ Generated {output['metadata']['total_kpis']} KPIs")
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# Also generate markdown report
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generate_markdown_report(kpis)
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def generate_markdown_report(kpis):
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"""Generate human-readable KPI report"""
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report = f"""# BlackRoad OS - Comprehensive KPI Report
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**Generated:** {datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S UTC')}
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**Total KPIs:** {kpis['summary']['total_kpis']}
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---
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## 📊 Executive Summary
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### Overall Performance Score: {kpis['derived']['overall_performance']['composite_score']}/100
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- **Trend:** {kpis['derived']['overall_performance']['trend_direction'].upper()}
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- **Health Status:** {kpis['derived']['overall_performance']['health_status'].upper()}
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- **Risk Level:** {kpis['derived']['overall_performance']['risk_level'].upper()}
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---
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## 🔧 Engineering Metrics
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### Codebase
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- **Total LOC:** {kpis['engineering']['codebase']['total_loc']:,}
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- **Total Files:** {kpis['engineering']['codebase']['total_files']:,}
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- **Total Commits:** {kpis['engineering']['codebase']['total_commits']:,}
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- **Test Coverage:** {kpis['engineering']['codebase']['test_coverage_pct']}%
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- **Code Quality Score:** {kpis['derived']['engineering_efficiency']['code_quality_score']}/100
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### Repositories
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- **Total Repos:** {kpis['engineering']['repositories']['total_repos']}
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- **Active (30d):** {kpis['engineering']['repositories']['active_repos_30d']}
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- **Total Stars:** {kpis['engineering']['repositories']['stars_total']}
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- **Open Issues:** {kpis['engineering']['repositories']['open_issues']}
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- **Merged PRs:** {kpis['engineering']['repositories']['merged_prs']:,}
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### AI/ML
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- **AI Agents:** {kpis['engineering']['ai_ml']['ai_agents']}
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- **Active Agents:** {kpis['engineering']['ai_ml']['active_agents']}
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- **Success Rate:** {kpis['engineering']['ai_ml']['agent_success_rate_pct']}%
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|
- **LLM API Calls (30d):** {kpis['engineering']['ai_ml']['llm_api_calls_30d']:,}
|
|
- **Tokens Processed (30d):** {kpis['engineering']['ai_ml']['tokens_processed_30d']:,}
|
|
|
|
### Infrastructure
|
|
- **Microservices:** {kpis['engineering']['infrastructure']['microservices']}
|
|
- **API Endpoints:** {kpis['engineering']['infrastructure']['api_endpoints']:,}
|
|
- **Uptime:** {kpis['engineering']['infrastructure']['api_uptime_pct']}%
|
|
- **Docker Containers:** {kpis['engineering']['infrastructure']['docker_containers']}
|
|
- **GitHub Actions Workflows:** {kpis['engineering']['infrastructure']['github_actions_workflows']}
|
|
|
|
---
|
|
|
|
## 💼 Business Metrics
|
|
|
|
### Sales Performance
|
|
- **Total Revenue:** ${kpis['business']['sales']['total_revenue_usd']:,}
|
|
- **Revenue Growth Rate:** {kpis['business']['sales']['revenue_growth_rate_pct']}%
|
|
- **Win Rate:** {kpis['business']['sales']['win_rate_pct']}%
|
|
- **Quota Attainment:** {kpis['business']['sales']['quota_attainment_pct']}%
|
|
|
|
### Crypto Holdings
|
|
- **ETH:** {kpis['business']['crypto']['eth_holdings']} (${kpis['business']['crypto']['eth_value_usd']:,})
|
|
- **SOL:** {kpis['business']['crypto']['sol_holdings']} (${kpis['business']['crypto']['sol_value_usd']:,})
|
|
- **BTC:** {kpis['business']['crypto']['btc_holdings']} (${kpis['business']['crypto']['btc_value_usd']:,})
|
|
- **Total Value:** ${kpis['business']['crypto']['total_crypto_value_usd']:,}
|
|
|
|
---
|
|
|
|
## ☁️ Infrastructure Metrics
|
|
|
|
### Cloud Resources
|
|
- **Cloudflare Zones:** {kpis['infrastructure']['cloud']['cloudflare_zones']}
|
|
- **Pages Projects:** {kpis['infrastructure']['cloud']['cloudflare_pages_projects']}
|
|
- **Railway Projects:** {kpis['infrastructure']['cloud']['railway_projects']}
|
|
- **Domains:** {kpis['infrastructure']['domains']['total_domains']}
|
|
|
|
### Edge Computing
|
|
- **Raspberry Pi Nodes:** {kpis['infrastructure']['edge']['raspberry_pi_nodes']}
|
|
- **Edge Uptime:** {kpis['infrastructure']['edge']['edge_uptime_pct']}%
|
|
- **Edge Inference Requests (30d):** {kpis['infrastructure']['edge']['edge_inference_requests_30d']:,}
|
|
|
|
### GitHub
|
|
- **Organizations:** {kpis['infrastructure']['github']['organizations']}
|
|
- **Total Repos:** {kpis['infrastructure']['github']['total_repos']}
|
|
- **GitHub Actions Minutes (30d):** {kpis['infrastructure']['github']['github_actions_minutes_30d']:,}
|
|
|
|
---
|
|
|
|
## 🔒 Security Metrics
|
|
|
|
### Vulnerabilities
|
|
- **Critical:** {kpis['security']['vulnerabilities']['critical_vulns']}
|
|
- **High:** {kpis['security']['vulnerabilities']['high_vulns']}
|
|
- **Medium:** {kpis['security']['vulnerabilities']['medium_vulns']}
|
|
- **Low:** {kpis['security']['vulnerabilities']['low_vulns']}
|
|
- **Security Score:** {kpis['security']['vulnerabilities']['security_score']}/100
|
|
|
|
### Compliance
|
|
- **FINRA Compliant:** {'✅' if kpis['security']['compliance']['finra_compliant'] else '❌'}
|
|
- **SOX Compliance:** {kpis['security']['compliance']['sox_compliance_pct']}%
|
|
- **MFA Enabled:** {kpis['security']['access']['mfa_enabled_pct']}%
|
|
|
|
---
|
|
|
|
## 📈 Operations Metrics
|
|
|
|
### Reliability
|
|
- **Uptime (30d):** {kpis['operations']['reliability']['uptime_pct_30d']}%
|
|
- **MTBF:** {kpis['operations']['reliability']['mtbf_hours']} hours
|
|
- **MTTR:** {kpis['operations']['reliability']['mttr_minutes']} minutes
|
|
- **SLA Compliance:** {kpis['operations']['reliability']['sla_compliance_pct']}%
|
|
|
|
### Monitoring
|
|
- **Alerts (30d):** {kpis['operations']['monitoring']['alerts_triggered_30d']}
|
|
- **Monitoring Coverage:** {kpis['operations']['monitoring']['monitoring_coverage_pct']}%
|
|
- **Metrics Tracked:** {kpis['operations']['monitoring']['metrics_tracked']}
|
|
|
|
### Backup
|
|
- **Success Rate:** {kpis['operations']['backup']['backup_success_rate_pct']}%
|
|
- **Backup Size:** {kpis['operations']['backup']['backup_size_gb']} GB
|
|
- **RTO:** {kpis['operations']['backup']['recovery_time_objective_hours']} hours
|
|
|
|
---
|
|
|
|
## 👤 Personal Metrics
|
|
|
|
### Career
|
|
- **Years Experience:** {kpis['personal']['career']['years_experience']}
|
|
- **Roles Held:** {kpis['personal']['career']['roles_held']}
|
|
- **Certifications:** {kpis['personal']['career']['certifications']}
|
|
- **Salary Growth:** {kpis['personal']['career']['salary_growth_pct']}%
|
|
|
|
### Expertise
|
|
- **Programming Languages:** {kpis['personal']['expertise']['programming_languages']}
|
|
- **Frameworks Mastered:** {kpis['personal']['expertise']['frameworks_mastered']}
|
|
- **Cloud Platforms:** {kpis['personal']['expertise']['cloud_platforms']}
|
|
|
|
### Impact
|
|
- **Projects Completed:** {kpis['personal']['impact']['projects_completed']}
|
|
- **Users Impacted:** {kpis['personal']['impact']['users_impacted']:,}
|
|
- **Revenue Influenced:** ${kpis['personal']['impact']['revenue_influenced_usd']:,}
|
|
|
|
---
|
|
|
|
## 🎯 Derived Scores
|
|
|
|
### Engineering Efficiency
|
|
- **Code Quality:** {kpis['derived']['engineering_efficiency']['code_quality_score']}/100
|
|
- **Developer Productivity:** {kpis['derived']['engineering_efficiency']['developer_productivity_score']}/100
|
|
- **Deployment Efficiency:** {kpis['derived']['engineering_efficiency']['deployment_efficiency_score']}/100
|
|
- **Technical Excellence:** {kpis['derived']['engineering_efficiency']['technical_excellence_score']}/100
|
|
|
|
### Infrastructure Efficiency
|
|
- **Cost Efficiency:** {kpis['derived']['infrastructure_efficiency']['cost_efficiency_score']}/100
|
|
- **Reliability:** {kpis['derived']['infrastructure_efficiency']['reliability_score']}/100
|
|
- **Scalability:** {kpis['derived']['infrastructure_efficiency']['scalability_score']}/100
|
|
- **Automation:** {kpis['derived']['infrastructure_efficiency']['automation_score']}/100
|
|
|
|
---
|
|
|
|
**Last Updated:** {datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S UTC')}
|
|
**Auto-Generated by:** BlackRoad OS Metrics System
|
|
"""
|
|
|
|
with open('KPI_REPORT.md', 'w') as f:
|
|
f.write(report)
|
|
|
|
print("✅ Generated KPI report: KPI_REPORT.md")
|
|
|
|
if __name__ == "__main__":
|
|
main()
|