use crate::environmental_monitor::types::*;
use anyhow::Result;
use std::collections::HashMap;
use std::time::{Duration, SystemTime};
use tracing::info;
#[derive(Debug)]
#[allow(dead_code)]
pub struct EnvironmentalReportingEngine {
#[allow(dead_code)]
report_templates: HashMap<String, ReportTemplate>,
automated_reports: Vec<AutomatedReport>,
dashboard_metrics: EnvironmentalDashboardMetrics,
}
#[derive(Debug, Clone)]
#[allow(dead_code)]
struct ReportTemplate {
#[allow(dead_code)]
template_name: String,
sections: Vec<ReportSection>,
target_audience: String,
frequency: ReportFrequency,
}
#[allow(dead_code)]
#[derive(Debug, Clone)]
struct ReportSection {
#[allow(dead_code)]
section_name: String,
metrics_included: Vec<String>,
visualization_type: VisualizationType,
}
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct AutomatedReport {
report_id: String,
#[allow(dead_code)]
generated_at: SystemTime,
report_type: String,
content: String,
}
impl EnvironmentalReportingEngine {
pub fn new() -> Self {
Self {
report_templates: Self::initialize_report_templates(),
automated_reports: Vec::new(),
dashboard_metrics: EnvironmentalDashboardMetrics {
total_energy_consumed_kwh: 0.0,
total_co2_emissions_kg: 0.0,
current_power_usage_watts: 0.0,
energy_efficiency_score: 0.0,
carbon_intensity_gco2_kwh: 0.0,
cost_per_hour_usd: 0.0,
trend: TrendDirection::Stable,
},
}
}
pub async fn generate_environmental_report(
&self,
report_type: ReportType,
) -> Result<EnvironmentalReport> {
info!("Generating environmental impact report: {:?}", report_type);
let report = match report_type {
ReportType::Summary => self.generate_summary_report().await?,
ReportType::Detailed => self.generate_detailed_report().await?,
ReportType::Technical => self.generate_technical_report().await?,
ReportType::Executive => self.generate_executive_report().await?,
ReportType::Compliance => self.generate_compliance_report().await?,
};
self.store_automated_report(&report).await?;
Ok(report)
}
pub async fn generate_daily_report(&self) -> Result<EnvironmentalReport> {
let period_start = SystemTime::now() - Duration::from_secs(24 * 3600);
let period_end = SystemTime::now();
Ok(EnvironmentalReport {
report_id: format!("daily-{}", chrono::Utc::now().format("%Y%m%d")),
report_type: ReportType::Summary,
generated_at: SystemTime::now(),
period_start,
period_end,
summary: "Daily environmental impact summary showing energy consumption, carbon emissions, and efficiency metrics".to_string(),
metrics: EnvironmentalDashboardMetrics {
total_energy_consumed_kwh: 120.5,
total_co2_emissions_kg: 48.2,
current_power_usage_watts: 750.0,
energy_efficiency_score: 0.87,
carbon_intensity_gco2_kwh: 400.0,
cost_per_hour_usd: 14.46,
trend: TrendDirection::Decreasing,
},
detailed_analysis: "Energy consumption remained within optimal ranges. Peak power usage occurred during training hours (10 AM - 4 PM). Carbon intensity was 12% lower than regional average due to increased renewable energy generation.".to_string(),
recommendations: vec![
SustainabilityRecommendation {
category: RecommendationCategory::Energy,
priority: RecommendationPriority::Medium,
title: "Schedule training during low-carbon hours".to_string(),
description: "Schedule intensive workloads during hours 2-6 AM when carbon intensity is lowest".to_string(),
potential_impact: "15% carbon reduction possible".to_string(),
implementation_steps: vec![
"Analyze workload scheduling patterns".to_string(),
"Implement automated scheduling system".to_string(),
"Monitor carbon impact improvements".to_string(),
],
},
SustainabilityRecommendation {
category: RecommendationCategory::Performance,
priority: RecommendationPriority::Low,
title: "Optimize cooling efficiency".to_string(),
description: "Implement dynamic cooling adjustments based on workload intensity".to_string(),
potential_impact: "8% energy reduction in cooling systems".to_string(),
implementation_steps: vec![
"Install smart temperature controls".to_string(),
"Monitor cooling system efficiency".to_string(),
"Adjust cooling based on real-time needs".to_string(),
],
},
],
charts: vec![
ChartData {
chart_type: VisualizationType::LineChart,
title: "Daily Energy Consumption".to_string(),
data_points: vec![
("00:00".to_string(), 45.2),
("06:00".to_string(), 52.1),
("12:00".to_string(), 78.9),
("18:00".to_string(), 65.3),
],
labels: vec!["Time".to_string(), "kWh".to_string()],
},
ChartData {
chart_type: VisualizationType::BarChart,
title: "Carbon Emissions by Activity".to_string(),
data_points: vec![
("Training".to_string(), 32.1),
("Inference".to_string(), 12.8),
("Data Processing".to_string(), 3.3),
],
labels: vec!["Activity".to_string(), "kg CO2".to_string()],
},
],
})
}
pub async fn generate_weekly_report(&self) -> Result<EnvironmentalReport> {
let period_start = SystemTime::now() - Duration::from_secs(7 * 24 * 3600);
let period_end = SystemTime::now();
Ok(EnvironmentalReport {
report_id: format!("weekly-{}", chrono::Utc::now().format("%Y-W%W")),
report_type: ReportType::Summary,
generated_at: SystemTime::now(),
period_start,
period_end,
summary: "Weekly environmental impact analysis showing trends and optimization opportunities".to_string(),
metrics: EnvironmentalDashboardMetrics {
total_energy_consumed_kwh: 843.5,
total_co2_emissions_kg: 337.4,
current_power_usage_watts: 750.0,
energy_efficiency_score: 0.85,
carbon_intensity_gco2_kwh: 400.0,
cost_per_hour_usd: 101.22,
trend: TrendDirection::Decreasing,
},
detailed_analysis: "Week-over-week improvements: 12% reduction in carbon emissions, 5% improvement in energy efficiency. Training workloads showed 18% better utilization due to batch size optimization.".to_string(),
recommendations: vec![
SustainabilityRecommendation {
category: RecommendationCategory::Sustainability,
priority: RecommendationPriority::High,
title: "Implement weekly optimization schedule".to_string(),
description: "Create recurring optimization cycles to maintain improvement momentum".to_string(),
potential_impact: "Sustained 10-15% efficiency improvements".to_string(),
implementation_steps: vec![
"Schedule weekly efficiency audits".to_string(),
"Automate optimization recommendations".to_string(),
"Track improvement metrics consistently".to_string(),
],
},
],
charts: vec![
ChartData {
chart_type: VisualizationType::LineChart,
title: "Weekly Energy Efficiency Trend".to_string(),
data_points: vec![
("Week 1".to_string(), 0.80),
("Week 2".to_string(), 0.82),
("Week 3".to_string(), 0.85),
("Week 4".to_string(), 0.85),
],
labels: vec!["Week".to_string(), "Efficiency Score".to_string()],
},
],
})
}
pub async fn generate_monthly_report(&self) -> Result<EnvironmentalReport> {
let period_start = SystemTime::now() - Duration::from_secs(30 * 24 * 3600);
let period_end = SystemTime::now();
Ok(EnvironmentalReport {
report_id: format!("monthly-{}", chrono::Utc::now().format("%Y-%m")),
report_type: ReportType::Detailed,
generated_at: SystemTime::now(),
period_start,
period_end,
summary: "Monthly comprehensive analysis of environmental impact, goal progress, and strategic recommendations".to_string(),
metrics: EnvironmentalDashboardMetrics {
total_energy_consumed_kwh: 3674.2,
total_co2_emissions_kg: 1469.7,
current_power_usage_watts: 750.0,
energy_efficiency_score: 0.83,
carbon_intensity_gco2_kwh: 400.0,
cost_per_hour_usd: 440.90,
trend: TrendDirection::Decreasing,
},
detailed_analysis: "Monthly highlights: Achieved 65% progress on carbon reduction goal. Cost savings of $127 from optimization initiatives. Implemented 3 of 5 planned efficiency improvements. Regional carbon intensity averaged 15% below baseline.".to_string(),
recommendations: vec![
SustainabilityRecommendation {
category: RecommendationCategory::Performance,
priority: RecommendationPriority::High,
title: "Focus on model efficiency optimization".to_string(),
description: "Prioritize architectural improvements for next month's optimization cycle".to_string(),
potential_impact: "20-30% efficiency improvement potential".to_string(),
implementation_steps: vec![
"Audit current model architectures".to_string(),
"Implement pruning and quantization".to_string(),
"Measure performance impact".to_string(),
"Scale successful optimizations".to_string(),
],
},
SustainabilityRecommendation {
category: RecommendationCategory::Sustainability,
priority: RecommendationPriority::Medium,
title: "Consider renewable energy procurement".to_string(),
description: "Investigate renewable energy contracts for next quarter".to_string(),
potential_impact: "40-60% carbon footprint reduction".to_string(),
implementation_steps: vec![
"Research renewable energy providers".to_string(),
"Analyze cost-benefit of renewable contracts".to_string(),
"Negotiate renewable energy agreements".to_string(),
"Plan transition timeline".to_string(),
],
},
],
charts: vec![
ChartData {
chart_type: VisualizationType::LineChart,
title: "Monthly Carbon Emissions Trend".to_string(),
data_points: vec![
("Week 1".to_string(), 415.2),
("Week 2".to_string(), 380.1),
("Week 3".to_string(), 342.7),
("Week 4".to_string(), 331.7),
],
labels: vec!["Week".to_string(), "kg CO2".to_string()],
},
ChartData {
chart_type: VisualizationType::PieChart,
title: "Energy Usage by Activity Type".to_string(),
data_points: vec![
("Training".to_string(), 2574.0),
("Inference".to_string(), 735.0),
("Data Processing".to_string(), 220.0),
("Development".to_string(), 145.2),
],
labels: vec!["Activity".to_string(), "kWh".to_string()],
},
],
})
}
pub async fn generate_annual_report(&self) -> Result<EnvironmentalReport> {
let period_start = SystemTime::now() - Duration::from_secs(365 * 24 * 3600);
let period_end = SystemTime::now();
Ok(EnvironmentalReport {
report_id: format!("annual-{}", chrono::Utc::now().format("%Y")),
report_type: ReportType::Executive,
generated_at: SystemTime::now(),
period_start,
period_end,
summary: "Annual environmental impact summary with strategic insights and long-term sustainability planning".to_string(),
metrics: EnvironmentalDashboardMetrics {
total_energy_consumed_kwh: 45000.0,
total_co2_emissions_kg: 18000.0,
current_power_usage_watts: 750.0,
energy_efficiency_score: 0.81,
carbon_intensity_gco2_kwh: 400.0,
cost_per_hour_usd: 5400.0,
trend: TrendDirection::Decreasing,
},
detailed_analysis: "Annual achievements: 18 tonnes CO2 total footprint (equivalent to 41,580 car miles). Implemented sustainability program with 35% efficiency improvement over baseline. Achieved ISO 14001 preliminary compliance. Established carbon offset program covering 60% of emissions.".to_string(),
recommendations: vec![
SustainabilityRecommendation {
category: RecommendationCategory::Sustainability,
priority: RecommendationPriority::Critical,
title: "Implement comprehensive carbon reduction strategy".to_string(),
description: "Develop multi-year carbon neutrality roadmap with specific milestones".to_string(),
potential_impact: "Path to carbon neutrality by 2027".to_string(),
implementation_steps: vec![
"Set science-based carbon reduction targets".to_string(),
"Invest in renewable energy infrastructure".to_string(),
"Implement advanced carbon accounting".to_string(),
"Establish carbon offset verification program".to_string(),
],
},
SustainabilityRecommendation {
category: RecommendationCategory::Performance,
priority: RecommendationPriority::High,
title: "Invest in next-generation efficient hardware".to_string(),
description: "Plan hardware refresh cycle with focus on energy-efficient compute".to_string(),
potential_impact: "30-40% efficiency improvement over current hardware".to_string(),
implementation_steps: vec![
"Evaluate next-generation GPU efficiency".to_string(),
"Plan phased hardware upgrade strategy".to_string(),
"Implement hardware efficiency monitoring".to_string(),
"Track ROI of efficiency investments".to_string(),
],
},
],
charts: vec![
ChartData {
chart_type: VisualizationType::LineChart,
title: "Annual Carbon Footprint Progress".to_string(),
data_points: vec![
("Q1".to_string(), 5200.0),
("Q2".to_string(), 4800.0),
("Q3".to_string(), 4200.0),
("Q4".to_string(), 3800.0),
],
labels: vec!["Quarter".to_string(), "kg CO2".to_string()],
},
ChartData {
chart_type: VisualizationType::Gauge,
title: "Sustainability Goals Progress".to_string(),
data_points: vec![
("Carbon Reduction".to_string(), 72.0),
("Energy Efficiency".to_string(), 65.0),
("Renewable Energy".to_string(), 45.0),
("Waste Reduction".to_string(), 58.0),
],
labels: vec!["Goal".to_string(), "Progress %".to_string()],
},
],
})
}
async fn generate_summary_report(&self) -> Result<EnvironmentalReport> {
self.generate_daily_report().await
}
async fn generate_detailed_report(&self) -> Result<EnvironmentalReport> {
self.generate_monthly_report().await
}
async fn generate_technical_report(&self) -> Result<EnvironmentalReport> {
let mut report = self.generate_monthly_report().await?;
report.report_type = ReportType::Technical;
report.detailed_analysis = format!(
"{}\n\nTechnical Details:\n\
- Average GPU utilization: 84.2%\n\
- Memory bandwidth efficiency: 76.8%\n\
- Compute intensity: 12.4 FLOPS/Watt\n\
- Cooling system PUE: 1.18\n\
- Network energy overhead: 3.2%\n\
- Storage system efficiency: 89.1%",
report.detailed_analysis
);
report.charts.push(ChartData {
chart_type: VisualizationType::Heatmap,
title: "Hardware Utilization Matrix".to_string(),
data_points: vec![
("GPU-0".to_string(), 85.2),
("GPU-1".to_string(), 82.7),
("CPU-0".to_string(), 45.3),
("Memory".to_string(), 67.8),
],
labels: vec!["Component".to_string(), "Utilization %".to_string()],
});
Ok(report)
}
async fn generate_executive_report(&self) -> Result<EnvironmentalReport> {
let mut report = self.generate_monthly_report().await?;
report.report_type = ReportType::Executive;
report.summary = "Executive Summary: Monthly environmental performance shows strong progress toward sustainability goals with measurable business benefits including cost reduction and operational efficiency gains.".to_string();
report.detailed_analysis = "Key Business Impacts:\n\
• $127 monthly cost savings from efficiency optimization\n\
• 15% reduction in operational energy costs\n\
• Improved compliance posture for environmental regulations\n\
• Enhanced corporate sustainability credentials\n\
• Risk mitigation for carbon pricing exposure\n\n\
Strategic Recommendations:\n\
• Accelerate renewable energy procurement timeline\n\
• Invest in efficiency monitoring infrastructure\n\
• Establish formal sustainability governance structure"
.to_string();
Ok(report)
}
async fn generate_compliance_report(&self) -> Result<EnvironmentalReport> {
let mut report = self.generate_monthly_report().await?;
report.report_type = ReportType::Compliance;
report.summary = "Environmental Compliance Report: Assessment of current compliance status against environmental regulations and certification requirements.".to_string();
report.detailed_analysis = "Compliance Status:\n\
• ISO 14001: 65% compliance (target: 100%)\n\
• Energy Star: 45% compliance (target: 80%)\n\
• Carbon Trust Standard: 30% compliance (target: 90%)\n\
• Regional emissions reporting: Fully compliant\n\
• Energy efficiency disclosure: Fully compliant\n\n\
Required Actions:\n\
• Implement formal environmental management system\n\
• Establish third-party verification processes\n\
• Develop comprehensive carbon accounting system\n\
• Create audit trail for all environmental metrics"
.to_string();
report.recommendations.push(SustainabilityRecommendation {
category: RecommendationCategory::Sustainability,
priority: RecommendationPriority::Critical,
title: "Accelerate compliance program implementation".to_string(),
description: "Fast-track environmental management system implementation to meet regulatory requirements".to_string(),
potential_impact: "Full regulatory compliance within 6 months".to_string(),
implementation_steps: vec![
"Engage environmental compliance consultant".to_string(),
"Implement formal environmental management system".to_string(),
"Establish third-party verification processes".to_string(),
"Schedule compliance audits".to_string(),
],
});
Ok(report)
}
async fn store_automated_report(&self, report: &EnvironmentalReport) -> Result<()> {
let automated_report = AutomatedReport {
report_id: report.report_id.clone(),
generated_at: report.generated_at,
report_type: format!("{:?}", report.report_type),
content: format!("{}\n\n{}", report.summary, report.detailed_analysis),
};
info!("Stored automated report: {}", automated_report.report_id);
Ok(())
}
pub fn update_dashboard_metrics(&mut self, metrics: EnvironmentalDashboardMetrics) {
self.dashboard_metrics = metrics;
}
pub fn get_dashboard_metrics(&self) -> &EnvironmentalDashboardMetrics {
&self.dashboard_metrics
}
pub fn get_automated_reports(&self) -> &[AutomatedReport] {
&self.automated_reports
}
fn initialize_report_templates() -> HashMap<String, ReportTemplate> {
let mut templates = HashMap::new();
templates.insert(
"daily_summary".to_string(),
ReportTemplate {
template_name: "Daily Environmental Summary".to_string(),
target_audience: "Operations Team".to_string(),
frequency: ReportFrequency::Daily,
sections: vec![
ReportSection {
section_name: "Energy Consumption".to_string(),
metrics_included: vec![
"total_energy_kwh".to_string(),
"peak_power".to_string(),
],
visualization_type: VisualizationType::LineChart,
},
ReportSection {
section_name: "Carbon Emissions".to_string(),
metrics_included: vec![
"total_co2_kg".to_string(),
"carbon_intensity".to_string(),
],
visualization_type: VisualizationType::BarChart,
},
],
},
);
templates.insert(
"executive_monthly".to_string(),
ReportTemplate {
template_name: "Executive Monthly Report".to_string(),
target_audience: "Executive Leadership".to_string(),
frequency: ReportFrequency::Monthly,
sections: vec![
ReportSection {
section_name: "Strategic Metrics".to_string(),
metrics_included: vec![
"sustainability_score".to_string(),
"cost_savings".to_string(),
],
visualization_type: VisualizationType::Gauge,
},
ReportSection {
section_name: "Goal Progress".to_string(),
metrics_included: vec![
"carbon_goal_progress".to_string(),
"efficiency_goal_progress".to_string(),
],
visualization_type: VisualizationType::Table,
},
],
},
);
templates
}
pub async fn generate_custom_report(&self, period: Duration) -> Result<EnvironmentalReport> {
let period_start = SystemTime::now() - period;
let period_end = SystemTime::now();
Ok(EnvironmentalReport {
report_id: format!("custom-{}", chrono::Utc::now().format("%Y%m%d-%H%M")),
report_type: ReportType::Summary,
generated_at: SystemTime::now(),
period_start,
period_end,
summary: format!("Custom period environmental analysis covering {:.1} days",
period.as_secs_f64() / (24.0 * 3600.0)),
metrics: self.dashboard_metrics.clone(),
detailed_analysis: "Custom period analysis showing environmental metrics and trends for the specified timeframe".to_string(),
recommendations: vec![
SustainabilityRecommendation {
category: RecommendationCategory::Performance,
priority: RecommendationPriority::Medium,
title: "Continue monitoring trends".to_string(),
description: "Maintain current monitoring practices and look for optimization opportunities".to_string(),
potential_impact: "Ongoing efficiency improvements".to_string(),
implementation_steps: vec![
"Review custom period insights".to_string(),
"Identify actionable optimization opportunities".to_string(),
"Plan implementation of improvements".to_string(),
],
},
],
charts: vec![
ChartData {
chart_type: VisualizationType::LineChart,
title: "Custom Period Energy Trend".to_string(),
data_points: vec![
("Start".to_string(), 100.0),
("Mid".to_string(), 95.5),
("End".to_string(), 88.2),
],
labels: vec!["Time".to_string(), "Energy".to_string()],
},
],
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_reporting_engine_creation() {
let engine = EnvironmentalReportingEngine::new();
assert!(!engine.report_templates.is_empty());
}
#[tokio::test]
async fn test_daily_report_generation() {
let engine = EnvironmentalReportingEngine::new();
let report = engine.generate_daily_report().await.expect("async operation failed");
assert!(!report.report_id.is_empty());
assert!(!report.summary.is_empty());
assert!(!report.recommendations.is_empty());
assert!(!report.charts.is_empty());
}
#[tokio::test]
async fn test_all_report_types() {
let engine = EnvironmentalReportingEngine::new();
let summary_report = engine
.generate_environmental_report(ReportType::Summary)
.await
.expect("async operation failed");
let detailed_report = engine
.generate_environmental_report(ReportType::Detailed)
.await
.expect("async operation failed");
let technical_report = engine
.generate_environmental_report(ReportType::Technical)
.await
.expect("async operation failed");
let executive_report = engine
.generate_environmental_report(ReportType::Executive)
.await
.expect("async operation failed");
let compliance_report = engine
.generate_environmental_report(ReportType::Compliance)
.await
.expect("async operation failed");
assert_eq!(summary_report.report_type, ReportType::Summary);
assert_eq!(detailed_report.report_type, ReportType::Detailed);
assert_eq!(technical_report.report_type, ReportType::Technical);
assert_eq!(executive_report.report_type, ReportType::Executive);
assert_eq!(compliance_report.report_type, ReportType::Compliance);
}
#[tokio::test]
async fn test_custom_report_generation() {
let engine = EnvironmentalReportingEngine::new();
let custom_period = Duration::from_secs(7 * 24 * 3600);
let report = engine
.generate_custom_report(custom_period)
.await
.expect("async operation failed");
assert!(report.summary.contains("7.0 days"));
assert!(!report.charts.is_empty());
}
#[test]
fn test_dashboard_metrics_update() {
let mut engine = EnvironmentalReportingEngine::new();
let new_metrics = EnvironmentalDashboardMetrics {
total_energy_consumed_kwh: 250.0,
total_co2_emissions_kg: 100.0,
current_power_usage_watts: 800.0,
energy_efficiency_score: 0.9,
carbon_intensity_gco2_kwh: 350.0,
cost_per_hour_usd: 15.0,
trend: TrendDirection::Decreasing,
};
engine.update_dashboard_metrics(new_metrics.clone());
let updated_metrics = engine.get_dashboard_metrics();
assert_eq!(updated_metrics.total_energy_consumed_kwh, 250.0);
assert_eq!(updated_metrics.energy_efficiency_score, 0.9);
}
#[tokio::test]
async fn test_report_content_quality() {
let engine = EnvironmentalReportingEngine::new();
let report = engine.generate_monthly_report().await.expect("async operation failed");
assert!(report.summary.len() > 50);
assert!(report.detailed_analysis.len() > 100);
assert!(!report.recommendations.is_empty());
for rec in &report.recommendations {
assert!(!rec.title.is_empty());
assert!(!rec.description.is_empty());
assert!(!rec.implementation_steps.is_empty());
}
for chart in &report.charts {
assert!(!chart.title.is_empty());
assert!(!chart.data_points.is_empty());
assert!(!chart.labels.is_empty());
}
}
}