use crate::environmental_monitor::types::*;
use anyhow::Result;
use std::time::{Duration, SystemTime};
use tracing::{info, warn};
#[derive(Debug)]
pub struct SustainabilityAdvisor {
sustainability_goals: Vec<SustainabilityGoal>,
progress_tracking: ProgressTracker,
best_practices: Vec<BestPractice>,
certification_requirements: Vec<CertificationRequirement>,
}
#[derive(Debug, Clone)]
pub struct ProgressTracker {
weekly_progress: Vec<ProgressMeasurement>,
monthly_progress: Vec<ProgressMeasurement>,
yearly_progress: Vec<ProgressMeasurement>,
}
#[derive(Debug, Clone)]
#[allow(dead_code)]
struct CertificationRequirement {
certification_name: String,
#[allow(dead_code)]
requirements: Vec<String>,
current_compliance: f64,
required_compliance: f64,
}
impl SustainabilityAdvisor {
pub fn new() -> Self {
Self {
sustainability_goals: Vec::new(),
progress_tracking: ProgressTracker {
weekly_progress: Vec::new(),
monthly_progress: Vec::new(),
yearly_progress: Vec::new(),
},
best_practices: Self::initialize_best_practices(),
certification_requirements: Self::initialize_certification_requirements(),
}
}
pub async fn initialize_sustainability_goals(&mut self) -> Result<()> {
self.sustainability_goals = vec![
SustainabilityGoal {
goal_type: GoalType::CarbonReduction,
target_value: 50.0, current_value: 0.0,
target_date: SystemTime::now() + Duration::from_secs(365 * 24 * 3600),
description: "Reduce Training Carbon Footprint by 50%".to_string(),
},
SustainabilityGoal {
goal_type: GoalType::EnergyEfficiency,
target_value: 30.0, current_value: 0.0,
target_date: SystemTime::now() + Duration::from_secs(180 * 24 * 3600),
description: "Improve Energy Efficiency by 30%".to_string(),
},
SustainabilityGoal {
goal_type: GoalType::RenewableEnergy,
target_value: 75.0, current_value: 30.0, target_date: SystemTime::now() + Duration::from_secs(730 * 24 * 3600), description: "Achieve 75% Renewable Energy Usage".to_string(),
},
SustainabilityGoal {
goal_type: GoalType::WasteReduction,
target_value: 40.0, current_value: 0.0,
target_date: SystemTime::now() + Duration::from_secs(365 * 24 * 3600),
description: "Reduce Energy Waste by 40%".to_string(),
},
];
info!(
"Initialized {} sustainability goals",
self.sustainability_goals.len()
);
Ok(())
}
pub fn add_sustainability_goal(&mut self, goal: SustainabilityGoal) {
info!("Added new sustainability goal: {}", goal.description);
self.sustainability_goals.push(goal);
}
pub async fn update_goal_progress(
&mut self,
goal_type: GoalType,
current_value: f64,
) -> Result<()> {
for goal in &mut self.sustainability_goals {
if goal.goal_type == goal_type {
goal.current_value = current_value;
let progress = if goal.target_value > 0.0 {
(current_value / goal.target_value * 100.0).min(100.0)
} else {
0.0
};
info!(
"Updated goal '{}' progress to {:.1}%",
goal.description, progress
);
}
}
Ok(())
}
pub fn get_sustainability_goals(&self) -> &[SustainabilityGoal] {
&self.sustainability_goals
}
pub async fn get_sustainability_recommendations(
&self,
) -> Result<Vec<SustainabilityRecommendation>> {
let mut recommendations = Vec::new();
for goal in &self.sustainability_goals {
let progress_percentage = if goal.target_value > 0.0 {
(goal.current_value / goal.target_value * 100.0).min(100.0)
} else {
0.0
};
if progress_percentage < 25.0 {
let recommendation = self.generate_goal_recommendation(goal).await?;
recommendations.push(recommendation);
}
}
let best_practice_recommendations = self.get_best_practice_recommendations().await?;
recommendations.extend(best_practice_recommendations);
if let Some(regional_rec) = self.get_regional_optimization_recommendation().await? {
recommendations.push(regional_rec);
}
Ok(recommendations)
}
async fn generate_goal_recommendation(
&self,
goal: &SustainabilityGoal,
) -> Result<SustainabilityRecommendation> {
let (category, priority, title, description, implementation_steps) = match goal.goal_type {
GoalType::CarbonReduction => (
RecommendationCategory::Carbon,
RecommendationPriority::High,
"Accelerate Carbon Footprint Reduction".to_string(),
"Implement immediate measures to reduce carbon emissions from training and inference".to_string(),
vec![
"Schedule training during low-carbon intensity hours".to_string(),
"Implement model compression techniques".to_string(),
"Consider carbon-efficient hardware upgrades".to_string(),
"Optimize batch sizes for better GPU utilization".to_string(),
],
),
GoalType::EnergyEfficiency => (
RecommendationCategory::Energy,
RecommendationPriority::High,
"Boost Energy Efficiency".to_string(),
"Implement advanced energy optimization techniques to improve overall efficiency".to_string(),
vec![
"Enable mixed precision training".to_string(),
"Implement gradient checkpointing".to_string(),
"Optimize model architecture for efficiency".to_string(),
"Use dynamic voltage and frequency scaling".to_string(),
],
),
GoalType::RenewableEnergy => (
RecommendationCategory::Sustainability,
RecommendationPriority::Medium,
"Increase Renewable Energy Usage".to_string(),
"Transition to renewable energy sources for compute workloads".to_string(),
vec![
"Negotiate renewable energy contracts".to_string(),
"Schedule workloads in high-renewable regions".to_string(),
"Invest in on-site renewable energy generation".to_string(),
"Purchase renewable energy certificates".to_string(),
],
),
GoalType::WasteReduction => (
RecommendationCategory::Performance,
RecommendationPriority::Medium,
"Eliminate Energy Waste".to_string(),
"Identify and eliminate sources of energy waste in compute operations".to_string(),
vec![
"Implement automatic resource shutdown".to_string(),
"Optimize cooling systems efficiency".to_string(),
"Monitor and eliminate idle resource usage".to_string(),
"Implement smart workload scheduling".to_string(),
],
),
GoalType::CustomGoal(_) => (
RecommendationCategory::Sustainability,
RecommendationPriority::Medium,
"Advance Custom Sustainability Goal".to_string(),
"Take specific actions to advance your custom sustainability objectives".to_string(),
vec![
"Review and adjust goal metrics".to_string(),
"Implement targeted optimization measures".to_string(),
"Monitor progress regularly".to_string(),
],
),
};
Ok(SustainabilityRecommendation {
category,
priority,
title,
description,
potential_impact: format!(
"Could help achieve {:.1}% of target",
(goal.target_value - goal.current_value) * 0.2
), implementation_steps,
})
}
async fn get_best_practice_recommendations(&self) -> Result<Vec<SustainabilityRecommendation>> {
let mut recommendations = Vec::new();
for practice in &self.best_practices {
if practice.impact_category == ImpactCategory::High
&& practice.implementation_effort != ImplementationEffort::VeryHigh
{
let recommendation = SustainabilityRecommendation {
category: RecommendationCategory::Sustainability,
priority: match practice.impact_category {
ImpactCategory::High => RecommendationPriority::High,
ImpactCategory::Medium => RecommendationPriority::Medium,
ImpactCategory::Low => RecommendationPriority::Low,
},
title: practice.title.clone(),
description: practice.description.clone(),
potential_impact: format!(
"{:.1}% potential improvement",
practice
.estimated_savings
.as_ref()
.map(|s| s.efficiency_improvement_percent)
.unwrap_or(10.0)
),
implementation_steps: vec![
"Assess current implementation status".to_string(),
"Plan implementation approach".to_string(),
"Execute implementation".to_string(),
"Monitor results and adjust".to_string(),
],
};
recommendations.push(recommendation);
}
}
Ok(recommendations)
}
async fn get_regional_optimization_recommendation(
&self,
) -> Result<Option<SustainabilityRecommendation>> {
Ok(Some(SustainabilityRecommendation {
category: RecommendationCategory::Sustainability,
priority: RecommendationPriority::Medium,
title: "Consider Regional Workload Distribution".to_string(),
description: "Optimize workload placement based on regional carbon intensity and renewable energy availability".to_string(),
potential_impact: "Up to 40% carbon reduction possible".to_string(),
implementation_steps: vec![
"Analyze regional carbon intensity patterns".to_string(),
"Identify low-carbon regions for workload migration".to_string(),
"Implement multi-region scheduling".to_string(),
"Monitor carbon impact of regional distribution".to_string(),
],
}))
}
pub fn record_progress(&mut self, measurement: ProgressMeasurement) {
match measurement.period.as_str() {
"weekly" => self.progress_tracking.weekly_progress.push(measurement),
"monthly" => self.progress_tracking.monthly_progress.push(measurement),
"yearly" => self.progress_tracking.yearly_progress.push(measurement),
_ => {
warn!("Unknown progress period: {}", measurement.period);
},
}
if self.progress_tracking.weekly_progress.len() > 52 {
self.progress_tracking.weekly_progress.remove(0);
}
if self.progress_tracking.monthly_progress.len() > 12 {
self.progress_tracking.monthly_progress.remove(0);
}
if self.progress_tracking.yearly_progress.len() > 5 {
self.progress_tracking.yearly_progress.remove(0);
}
}
pub fn get_progress_tracking(&self) -> &ProgressTracker {
&self.progress_tracking
}
pub fn get_best_practices(&self) -> &[BestPractice] {
&self.best_practices
}
pub fn check_certification_compliance(&self) -> Vec<(String, f64)> {
self.certification_requirements
.iter()
.map(|cert| (cert.certification_name.clone(), cert.current_compliance))
.collect()
}
fn initialize_best_practices() -> Vec<BestPractice> {
vec![
BestPractice {
title: "Implement Mixed Precision Training".to_string(),
description: "Use FP16 precision where possible to reduce energy consumption"
.to_string(),
impact_category: ImpactCategory::High,
implementation_effort: ImplementationEffort::Low,
estimated_savings: Some(ProjectedSavings {
energy_savings_kwh: 25.0,
cost_savings_usd: 3.0,
carbon_reduction_kg: 10.0,
efficiency_improvement_percent: 20.0,
}),
},
BestPractice {
title: "Optimize Batch Sizes".to_string(),
description: "Use optimal batch sizes to maximize GPU utilization".to_string(),
impact_category: ImpactCategory::High,
implementation_effort: ImplementationEffort::Low,
estimated_savings: Some(ProjectedSavings {
energy_savings_kwh: 15.0,
cost_savings_usd: 1.8,
carbon_reduction_kg: 6.0,
efficiency_improvement_percent: 15.0,
}),
},
BestPractice {
title: "Schedule Training During Low-Carbon Hours".to_string(),
description: "Time training runs to coincide with low grid carbon intensity"
.to_string(),
impact_category: ImpactCategory::High,
implementation_effort: ImplementationEffort::Medium,
estimated_savings: Some(ProjectedSavings {
energy_savings_kwh: 0.0,
cost_savings_usd: 5.0,
carbon_reduction_kg: 20.0,
efficiency_improvement_percent: 0.0,
}),
},
BestPractice {
title: "Implement Model Pruning".to_string(),
description:
"Remove unnecessary model parameters to reduce computational requirements"
.to_string(),
impact_category: ImpactCategory::Medium,
implementation_effort: ImplementationEffort::High,
estimated_savings: Some(ProjectedSavings {
energy_savings_kwh: 40.0,
cost_savings_usd: 4.8,
carbon_reduction_kg: 16.0,
efficiency_improvement_percent: 30.0,
}),
},
BestPractice {
title: "Use Gradient Checkpointing".to_string(),
description: "Trade computation for memory to enable larger models or batch sizes"
.to_string(),
impact_category: ImpactCategory::Medium,
implementation_effort: ImplementationEffort::Low,
estimated_savings: Some(ProjectedSavings {
energy_savings_kwh: 12.0,
cost_savings_usd: 1.44,
carbon_reduction_kg: 4.8,
efficiency_improvement_percent: 10.0,
}),
},
]
}
fn initialize_certification_requirements() -> Vec<CertificationRequirement> {
vec![
CertificationRequirement {
certification_name: "ISO 14001 Environmental Management".to_string(),
requirements: vec![
"Environmental policy documented".to_string(),
"Environmental objectives set".to_string(),
"Environmental monitoring system".to_string(),
"Regular environmental audits".to_string(),
],
current_compliance: 65.0,
required_compliance: 100.0,
},
CertificationRequirement {
certification_name: "Energy Star for Data Centers".to_string(),
requirements: vec![
"PUE measurement and reporting".to_string(),
"Energy efficiency benchmarking".to_string(),
"Continuous monitoring".to_string(),
"Annual improvement targets".to_string(),
],
current_compliance: 45.0,
required_compliance: 80.0,
},
CertificationRequirement {
certification_name: "Carbon Trust Standard".to_string(),
requirements: vec![
"Carbon footprint measurement".to_string(),
"Emission reduction commitments".to_string(),
"Third-party verification".to_string(),
"Annual reduction achievements".to_string(),
],
current_compliance: 30.0,
required_compliance: 90.0,
},
]
}
pub fn update_certification_compliance(&mut self, certification_name: &str, compliance: f64) {
for cert in &mut self.certification_requirements {
if cert.certification_name == certification_name {
cert.current_compliance = compliance.max(0.0).min(100.0);
info!(
"Updated {} compliance to {:.1}%",
certification_name, cert.current_compliance
);
return;
}
}
warn!("Certification '{}' not found", certification_name);
}
pub fn get_urgent_goals(&self) -> Vec<&SustainabilityGoal> {
let now = SystemTime::now();
let thirty_days = Duration::from_secs(30 * 24 * 3600);
self.sustainability_goals
.iter()
.filter(|goal| {
if let Ok(time_remaining) = goal.target_date.duration_since(now) {
time_remaining < thirty_days
} else {
true }
})
.collect()
}
pub fn calculate_sustainability_score(&self) -> f64 {
if self.sustainability_goals.is_empty() {
return 0.0;
}
let total_progress: f64 = self
.sustainability_goals
.iter()
.map(|goal| {
if goal.target_value > 0.0 {
(goal.current_value / goal.target_value * 100.0).min(100.0)
} else {
0.0
}
})
.sum();
(total_progress / self.sustainability_goals.len() as f64) / 100.0
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_sustainability_advisor_creation() {
let advisor = SustainabilityAdvisor::new();
assert!(!advisor.best_practices.is_empty());
assert!(!advisor.certification_requirements.is_empty());
}
#[tokio::test]
async fn test_goal_initialization() {
let mut advisor = SustainabilityAdvisor::new();
advisor.initialize_sustainability_goals().await.expect("async operation failed");
assert!(!advisor.sustainability_goals.is_empty());
assert!(advisor
.sustainability_goals
.iter()
.any(|g| g.goal_type == GoalType::CarbonReduction));
assert!(advisor
.sustainability_goals
.iter()
.any(|g| g.goal_type == GoalType::EnergyEfficiency));
}
#[tokio::test]
async fn test_goal_progress_update() {
let mut advisor = SustainabilityAdvisor::new();
advisor.initialize_sustainability_goals().await.expect("async operation failed");
advisor
.update_goal_progress(GoalType::CarbonReduction, 25.0)
.await
.expect("async operation failed");
let carbon_goal = advisor
.sustainability_goals
.iter()
.find(|g| g.goal_type == GoalType::CarbonReduction)
.expect("operation failed in test");
assert_eq!(carbon_goal.current_value, 25.0);
}
#[tokio::test]
async fn test_sustainability_recommendations() {
let mut advisor = SustainabilityAdvisor::new();
advisor.initialize_sustainability_goals().await.expect("async operation failed");
let recommendations = advisor
.get_sustainability_recommendations()
.await
.expect("async operation failed");
assert!(!recommendations.is_empty());
assert!(recommendations.iter().any(|r| r.category == RecommendationCategory::Carbon));
assert!(recommendations.iter().any(|r| r.category == RecommendationCategory::Energy));
}
#[test]
fn test_sustainability_score_calculation() {
let mut advisor = SustainabilityAdvisor::new();
advisor.sustainability_goals = vec![
SustainabilityGoal {
goal_type: GoalType::CarbonReduction,
target_value: 100.0,
current_value: 50.0, target_date: SystemTime::now(),
description: "Test goal 1".to_string(),
},
SustainabilityGoal {
goal_type: GoalType::EnergyEfficiency,
target_value: 100.0,
current_value: 30.0, target_date: SystemTime::now(),
description: "Test goal 2".to_string(),
},
];
let score = advisor.calculate_sustainability_score();
assert!((score - 0.4).abs() < 0.01); }
#[test]
fn test_urgent_goals() {
let mut advisor = SustainabilityAdvisor::new();
let past_date = SystemTime::now() - Duration::from_secs(24 * 3600); let future_date = SystemTime::now() + Duration::from_secs(60 * 24 * 3600);
advisor.sustainability_goals = vec![
SustainabilityGoal {
goal_type: GoalType::CarbonReduction,
target_value: 100.0,
current_value: 50.0,
target_date: past_date, description: "Urgent goal".to_string(),
},
SustainabilityGoal {
goal_type: GoalType::EnergyEfficiency,
target_value: 100.0,
current_value: 30.0,
target_date: future_date, description: "Future goal".to_string(),
},
];
let urgent_goals = advisor.get_urgent_goals();
assert_eq!(urgent_goals.len(), 1);
assert_eq!(urgent_goals[0].description, "Urgent goal");
}
#[test]
fn test_progress_recording() {
let mut advisor = SustainabilityAdvisor::new();
let weekly_progress = ProgressMeasurement {
timestamp: SystemTime::now(),
goal_type: GoalType::CarbonReduction,
current_value: 25.0,
progress_percentage: 50.0,
trend: TrendDirection::Decreasing,
period: "weekly".to_string(),
};
advisor.record_progress(weekly_progress);
assert_eq!(advisor.progress_tracking.weekly_progress.len(), 1);
}
#[test]
fn test_certification_compliance() {
let mut advisor = SustainabilityAdvisor::new();
advisor.update_certification_compliance("ISO 14001 Environmental Management", 85.0);
let compliance = advisor.check_certification_compliance();
let iso_compliance =
compliance.iter().find(|(name, _)| name == "ISO 14001 Environmental Management");
assert!(iso_compliance.is_some());
assert_eq!(iso_compliance.expect("operation failed in test").1, 85.0);
}
}