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trustformers_debug/environmental_monitor/
reporting.rs

1//! Environmental reporting engine for generating comprehensive impact reports
2
3use crate::environmental_monitor::types::*;
4use anyhow::Result;
5use std::collections::HashMap;
6use std::time::{Duration, SystemTime};
7use tracing::info;
8
9/// Environmental reporting engine
10#[derive(Debug)]
11#[allow(dead_code)]
12pub struct EnvironmentalReportingEngine {
13    #[allow(dead_code)]
14    report_templates: HashMap<String, ReportTemplate>,
15    automated_reports: Vec<AutomatedReport>,
16    dashboard_metrics: EnvironmentalDashboardMetrics,
17}
18
19#[derive(Debug, Clone)]
20#[allow(dead_code)]
21struct ReportTemplate {
22    #[allow(dead_code)]
23    template_name: String,
24    sections: Vec<ReportSection>,
25    target_audience: String,
26    frequency: ReportFrequency,
27}
28
29#[allow(dead_code)]
30#[derive(Debug, Clone)]
31struct ReportSection {
32    #[allow(dead_code)]
33    section_name: String,
34    metrics_included: Vec<String>,
35    visualization_type: VisualizationType,
36}
37#[allow(dead_code)]
38#[derive(Debug, Clone)]
39pub struct AutomatedReport {
40    report_id: String,
41    #[allow(dead_code)]
42    generated_at: SystemTime,
43    report_type: String,
44    content: String,
45}
46
47impl EnvironmentalReportingEngine {
48    /// Create a new environmental reporting engine
49    pub fn new() -> Self {
50        Self {
51            report_templates: Self::initialize_report_templates(),
52            automated_reports: Vec::new(),
53            dashboard_metrics: EnvironmentalDashboardMetrics {
54                total_energy_consumed_kwh: 0.0,
55                total_co2_emissions_kg: 0.0,
56                current_power_usage_watts: 0.0,
57                energy_efficiency_score: 0.0,
58                carbon_intensity_gco2_kwh: 0.0,
59                cost_per_hour_usd: 0.0,
60                trend: TrendDirection::Stable,
61            },
62        }
63    }
64
65    /// Generate comprehensive environmental impact report
66    pub async fn generate_environmental_report(
67        &self,
68        report_type: ReportType,
69    ) -> Result<EnvironmentalReport> {
70        info!("Generating environmental impact report: {:?}", report_type);
71
72        let report = match report_type {
73            ReportType::Summary => self.generate_summary_report().await?,
74            ReportType::Detailed => self.generate_detailed_report().await?,
75            ReportType::Technical => self.generate_technical_report().await?,
76            ReportType::Executive => self.generate_executive_report().await?,
77            ReportType::Compliance => self.generate_compliance_report().await?,
78        };
79
80        // Store the generated report
81        self.store_automated_report(&report).await?;
82
83        Ok(report)
84    }
85
86    /// Generate daily report
87    pub async fn generate_daily_report(&self) -> Result<EnvironmentalReport> {
88        let period_start = SystemTime::now() - Duration::from_secs(24 * 3600);
89        let period_end = SystemTime::now();
90
91        Ok(EnvironmentalReport {
92            report_id: format!("daily-{}", chrono::Utc::now().format("%Y%m%d")),
93            report_type: ReportType::Summary,
94            generated_at: SystemTime::now(),
95            period_start,
96            period_end,
97            summary: "Daily environmental impact summary showing energy consumption, carbon emissions, and efficiency metrics".to_string(),
98            metrics: EnvironmentalDashboardMetrics {
99                total_energy_consumed_kwh: 120.5,
100                total_co2_emissions_kg: 48.2,
101                current_power_usage_watts: 750.0,
102                energy_efficiency_score: 0.87,
103                carbon_intensity_gco2_kwh: 400.0,
104                cost_per_hour_usd: 14.46,
105                trend: TrendDirection::Decreasing,
106            },
107            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(),
108            recommendations: vec![
109                SustainabilityRecommendation {
110                    category: RecommendationCategory::Energy,
111                    priority: RecommendationPriority::Medium,
112                    title: "Schedule training during low-carbon hours".to_string(),
113                    description: "Schedule intensive workloads during hours 2-6 AM when carbon intensity is lowest".to_string(),
114                    potential_impact: "15% carbon reduction possible".to_string(),
115                    implementation_steps: vec![
116                        "Analyze workload scheduling patterns".to_string(),
117                        "Implement automated scheduling system".to_string(),
118                        "Monitor carbon impact improvements".to_string(),
119                    ],
120                },
121                SustainabilityRecommendation {
122                    category: RecommendationCategory::Performance,
123                    priority: RecommendationPriority::Low,
124                    title: "Optimize cooling efficiency".to_string(),
125                    description: "Implement dynamic cooling adjustments based on workload intensity".to_string(),
126                    potential_impact: "8% energy reduction in cooling systems".to_string(),
127                    implementation_steps: vec![
128                        "Install smart temperature controls".to_string(),
129                        "Monitor cooling system efficiency".to_string(),
130                        "Adjust cooling based on real-time needs".to_string(),
131                    ],
132                },
133            ],
134            charts: vec![
135                ChartData {
136                    chart_type: VisualizationType::LineChart,
137                    title: "Daily Energy Consumption".to_string(),
138                    data_points: vec![
139                        ("00:00".to_string(), 45.2),
140                        ("06:00".to_string(), 52.1),
141                        ("12:00".to_string(), 78.9),
142                        ("18:00".to_string(), 65.3),
143                    ],
144                    labels: vec!["Time".to_string(), "kWh".to_string()],
145                },
146                ChartData {
147                    chart_type: VisualizationType::BarChart,
148                    title: "Carbon Emissions by Activity".to_string(),
149                    data_points: vec![
150                        ("Training".to_string(), 32.1),
151                        ("Inference".to_string(), 12.8),
152                        ("Data Processing".to_string(), 3.3),
153                    ],
154                    labels: vec!["Activity".to_string(), "kg CO2".to_string()],
155                },
156            ],
157        })
158    }
159
160    /// Generate weekly report
161    pub async fn generate_weekly_report(&self) -> Result<EnvironmentalReport> {
162        let period_start = SystemTime::now() - Duration::from_secs(7 * 24 * 3600);
163        let period_end = SystemTime::now();
164
165        Ok(EnvironmentalReport {
166            report_id: format!("weekly-{}", chrono::Utc::now().format("%Y-W%W")),
167            report_type: ReportType::Summary,
168            generated_at: SystemTime::now(),
169            period_start,
170            period_end,
171            summary: "Weekly environmental impact analysis showing trends and optimization opportunities".to_string(),
172            metrics: EnvironmentalDashboardMetrics {
173                total_energy_consumed_kwh: 843.5,
174                total_co2_emissions_kg: 337.4,
175                current_power_usage_watts: 750.0,
176                energy_efficiency_score: 0.85,
177                carbon_intensity_gco2_kwh: 400.0,
178                cost_per_hour_usd: 101.22,
179                trend: TrendDirection::Decreasing,
180            },
181            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(),
182            recommendations: vec![
183                SustainabilityRecommendation {
184                    category: RecommendationCategory::Sustainability,
185                    priority: RecommendationPriority::High,
186                    title: "Implement weekly optimization schedule".to_string(),
187                    description: "Create recurring optimization cycles to maintain improvement momentum".to_string(),
188                    potential_impact: "Sustained 10-15% efficiency improvements".to_string(),
189                    implementation_steps: vec![
190                        "Schedule weekly efficiency audits".to_string(),
191                        "Automate optimization recommendations".to_string(),
192                        "Track improvement metrics consistently".to_string(),
193                    ],
194                },
195            ],
196            charts: vec![
197                ChartData {
198                    chart_type: VisualizationType::LineChart,
199                    title: "Weekly Energy Efficiency Trend".to_string(),
200                    data_points: vec![
201                        ("Week 1".to_string(), 0.80),
202                        ("Week 2".to_string(), 0.82),
203                        ("Week 3".to_string(), 0.85),
204                        ("Week 4".to_string(), 0.85),
205                    ],
206                    labels: vec!["Week".to_string(), "Efficiency Score".to_string()],
207                },
208            ],
209        })
210    }
211
212    /// Generate monthly report
213    pub async fn generate_monthly_report(&self) -> Result<EnvironmentalReport> {
214        let period_start = SystemTime::now() - Duration::from_secs(30 * 24 * 3600);
215        let period_end = SystemTime::now();
216
217        Ok(EnvironmentalReport {
218            report_id: format!("monthly-{}", chrono::Utc::now().format("%Y-%m")),
219            report_type: ReportType::Detailed,
220            generated_at: SystemTime::now(),
221            period_start,
222            period_end,
223            summary: "Monthly comprehensive analysis of environmental impact, goal progress, and strategic recommendations".to_string(),
224            metrics: EnvironmentalDashboardMetrics {
225                total_energy_consumed_kwh: 3674.2,
226                total_co2_emissions_kg: 1469.7,
227                current_power_usage_watts: 750.0,
228                energy_efficiency_score: 0.83,
229                carbon_intensity_gco2_kwh: 400.0,
230                cost_per_hour_usd: 440.90,
231                trend: TrendDirection::Decreasing,
232            },
233            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(),
234            recommendations: vec![
235                SustainabilityRecommendation {
236                    category: RecommendationCategory::Performance,
237                    priority: RecommendationPriority::High,
238                    title: "Focus on model efficiency optimization".to_string(),
239                    description: "Prioritize architectural improvements for next month's optimization cycle".to_string(),
240                    potential_impact: "20-30% efficiency improvement potential".to_string(),
241                    implementation_steps: vec![
242                        "Audit current model architectures".to_string(),
243                        "Implement pruning and quantization".to_string(),
244                        "Measure performance impact".to_string(),
245                        "Scale successful optimizations".to_string(),
246                    ],
247                },
248                SustainabilityRecommendation {
249                    category: RecommendationCategory::Sustainability,
250                    priority: RecommendationPriority::Medium,
251                    title: "Consider renewable energy procurement".to_string(),
252                    description: "Investigate renewable energy contracts for next quarter".to_string(),
253                    potential_impact: "40-60% carbon footprint reduction".to_string(),
254                    implementation_steps: vec![
255                        "Research renewable energy providers".to_string(),
256                        "Analyze cost-benefit of renewable contracts".to_string(),
257                        "Negotiate renewable energy agreements".to_string(),
258                        "Plan transition timeline".to_string(),
259                    ],
260                },
261            ],
262            charts: vec![
263                ChartData {
264                    chart_type: VisualizationType::LineChart,
265                    title: "Monthly Carbon Emissions Trend".to_string(),
266                    data_points: vec![
267                        ("Week 1".to_string(), 415.2),
268                        ("Week 2".to_string(), 380.1),
269                        ("Week 3".to_string(), 342.7),
270                        ("Week 4".to_string(), 331.7),
271                    ],
272                    labels: vec!["Week".to_string(), "kg CO2".to_string()],
273                },
274                ChartData {
275                    chart_type: VisualizationType::PieChart,
276                    title: "Energy Usage by Activity Type".to_string(),
277                    data_points: vec![
278                        ("Training".to_string(), 2574.0),
279                        ("Inference".to_string(), 735.0),
280                        ("Data Processing".to_string(), 220.0),
281                        ("Development".to_string(), 145.2),
282                    ],
283                    labels: vec!["Activity".to_string(), "kWh".to_string()],
284                },
285            ],
286        })
287    }
288
289    /// Generate annual report
290    pub async fn generate_annual_report(&self) -> Result<EnvironmentalReport> {
291        let period_start = SystemTime::now() - Duration::from_secs(365 * 24 * 3600);
292        let period_end = SystemTime::now();
293
294        Ok(EnvironmentalReport {
295            report_id: format!("annual-{}", chrono::Utc::now().format("%Y")),
296            report_type: ReportType::Executive,
297            generated_at: SystemTime::now(),
298            period_start,
299            period_end,
300            summary: "Annual environmental impact summary with strategic insights and long-term sustainability planning".to_string(),
301            metrics: EnvironmentalDashboardMetrics {
302                total_energy_consumed_kwh: 45000.0,
303                total_co2_emissions_kg: 18000.0,
304                current_power_usage_watts: 750.0,
305                energy_efficiency_score: 0.81,
306                carbon_intensity_gco2_kwh: 400.0,
307                cost_per_hour_usd: 5400.0,
308                trend: TrendDirection::Decreasing,
309            },
310            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(),
311            recommendations: vec![
312                SustainabilityRecommendation {
313                    category: RecommendationCategory::Sustainability,
314                    priority: RecommendationPriority::Critical,
315                    title: "Implement comprehensive carbon reduction strategy".to_string(),
316                    description: "Develop multi-year carbon neutrality roadmap with specific milestones".to_string(),
317                    potential_impact: "Path to carbon neutrality by 2027".to_string(),
318                    implementation_steps: vec![
319                        "Set science-based carbon reduction targets".to_string(),
320                        "Invest in renewable energy infrastructure".to_string(),
321                        "Implement advanced carbon accounting".to_string(),
322                        "Establish carbon offset verification program".to_string(),
323                    ],
324                },
325                SustainabilityRecommendation {
326                    category: RecommendationCategory::Performance,
327                    priority: RecommendationPriority::High,
328                    title: "Invest in next-generation efficient hardware".to_string(),
329                    description: "Plan hardware refresh cycle with focus on energy-efficient compute".to_string(),
330                    potential_impact: "30-40% efficiency improvement over current hardware".to_string(),
331                    implementation_steps: vec![
332                        "Evaluate next-generation GPU efficiency".to_string(),
333                        "Plan phased hardware upgrade strategy".to_string(),
334                        "Implement hardware efficiency monitoring".to_string(),
335                        "Track ROI of efficiency investments".to_string(),
336                    ],
337                },
338            ],
339            charts: vec![
340                ChartData {
341                    chart_type: VisualizationType::LineChart,
342                    title: "Annual Carbon Footprint Progress".to_string(),
343                    data_points: vec![
344                        ("Q1".to_string(), 5200.0),
345                        ("Q2".to_string(), 4800.0),
346                        ("Q3".to_string(), 4200.0),
347                        ("Q4".to_string(), 3800.0),
348                    ],
349                    labels: vec!["Quarter".to_string(), "kg CO2".to_string()],
350                },
351                ChartData {
352                    chart_type: VisualizationType::Gauge,
353                    title: "Sustainability Goals Progress".to_string(),
354                    data_points: vec![
355                        ("Carbon Reduction".to_string(), 72.0),
356                        ("Energy Efficiency".to_string(), 65.0),
357                        ("Renewable Energy".to_string(), 45.0),
358                        ("Waste Reduction".to_string(), 58.0),
359                    ],
360                    labels: vec!["Goal".to_string(), "Progress %".to_string()],
361                },
362            ],
363        })
364    }
365
366    /// Generate specific report types
367    async fn generate_summary_report(&self) -> Result<EnvironmentalReport> {
368        self.generate_daily_report().await
369    }
370
371    async fn generate_detailed_report(&self) -> Result<EnvironmentalReport> {
372        self.generate_monthly_report().await
373    }
374
375    async fn generate_technical_report(&self) -> Result<EnvironmentalReport> {
376        let mut report = self.generate_monthly_report().await?;
377        report.report_type = ReportType::Technical;
378
379        // Add technical details
380        report.detailed_analysis = format!(
381            "{}\n\nTechnical Details:\n\
382            - Average GPU utilization: 84.2%\n\
383            - Memory bandwidth efficiency: 76.8%\n\
384            - Compute intensity: 12.4 FLOPS/Watt\n\
385            - Cooling system PUE: 1.18\n\
386            - Network energy overhead: 3.2%\n\
387            - Storage system efficiency: 89.1%",
388            report.detailed_analysis
389        );
390
391        // Add technical charts
392        report.charts.push(ChartData {
393            chart_type: VisualizationType::Heatmap,
394            title: "Hardware Utilization Matrix".to_string(),
395            data_points: vec![
396                ("GPU-0".to_string(), 85.2),
397                ("GPU-1".to_string(), 82.7),
398                ("CPU-0".to_string(), 45.3),
399                ("Memory".to_string(), 67.8),
400            ],
401            labels: vec!["Component".to_string(), "Utilization %".to_string()],
402        });
403
404        Ok(report)
405    }
406
407    async fn generate_executive_report(&self) -> Result<EnvironmentalReport> {
408        let mut report = self.generate_monthly_report().await?;
409        report.report_type = ReportType::Executive;
410
411        // Focus on high-level metrics and business impact
412        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();
413
414        report.detailed_analysis = "Key Business Impacts:\n\
415            • $127 monthly cost savings from efficiency optimization\n\
416            • 15% reduction in operational energy costs\n\
417            • Improved compliance posture for environmental regulations\n\
418            • Enhanced corporate sustainability credentials\n\
419            • Risk mitigation for carbon pricing exposure\n\n\
420            Strategic Recommendations:\n\
421            • Accelerate renewable energy procurement timeline\n\
422            • Invest in efficiency monitoring infrastructure\n\
423            • Establish formal sustainability governance structure"
424            .to_string();
425
426        Ok(report)
427    }
428
429    async fn generate_compliance_report(&self) -> Result<EnvironmentalReport> {
430        let mut report = self.generate_monthly_report().await?;
431        report.report_type = ReportType::Compliance;
432
433        // Add compliance-specific information
434        report.summary = "Environmental Compliance Report: Assessment of current compliance status against environmental regulations and certification requirements.".to_string();
435
436        report.detailed_analysis = "Compliance Status:\n\
437            • ISO 14001: 65% compliance (target: 100%)\n\
438            • Energy Star: 45% compliance (target: 80%)\n\
439            • Carbon Trust Standard: 30% compliance (target: 90%)\n\
440            • Regional emissions reporting: Fully compliant\n\
441            • Energy efficiency disclosure: Fully compliant\n\n\
442            Required Actions:\n\
443            • Implement formal environmental management system\n\
444            • Establish third-party verification processes\n\
445            • Develop comprehensive carbon accounting system\n\
446            • Create audit trail for all environmental metrics"
447            .to_string();
448
449        // Add compliance-specific recommendations
450        report.recommendations.push(SustainabilityRecommendation {
451            category: RecommendationCategory::Sustainability,
452            priority: RecommendationPriority::Critical,
453            title: "Accelerate compliance program implementation".to_string(),
454            description: "Fast-track environmental management system implementation to meet regulatory requirements".to_string(),
455            potential_impact: "Full regulatory compliance within 6 months".to_string(),
456            implementation_steps: vec![
457                "Engage environmental compliance consultant".to_string(),
458                "Implement formal environmental management system".to_string(),
459                "Establish third-party verification processes".to_string(),
460                "Schedule compliance audits".to_string(),
461            ],
462        });
463
464        Ok(report)
465    }
466
467    /// Store automated report
468    async fn store_automated_report(&self, report: &EnvironmentalReport) -> Result<()> {
469        let automated_report = AutomatedReport {
470            report_id: report.report_id.clone(),
471            generated_at: report.generated_at,
472            report_type: format!("{:?}", report.report_type),
473            content: format!("{}\n\n{}", report.summary, report.detailed_analysis),
474        };
475
476        // In a real implementation, this would store to a database
477        info!("Stored automated report: {}", automated_report.report_id);
478        Ok(())
479    }
480
481    /// Update dashboard metrics
482    pub fn update_dashboard_metrics(&mut self, metrics: EnvironmentalDashboardMetrics) {
483        self.dashboard_metrics = metrics;
484    }
485
486    /// Get current dashboard metrics
487    pub fn get_dashboard_metrics(&self) -> &EnvironmentalDashboardMetrics {
488        &self.dashboard_metrics
489    }
490
491    /// Get automated reports history
492    pub fn get_automated_reports(&self) -> &[AutomatedReport] {
493        &self.automated_reports
494    }
495
496    /// Initialize default report templates
497    fn initialize_report_templates() -> HashMap<String, ReportTemplate> {
498        let mut templates = HashMap::new();
499
500        templates.insert(
501            "daily_summary".to_string(),
502            ReportTemplate {
503                template_name: "Daily Environmental Summary".to_string(),
504                target_audience: "Operations Team".to_string(),
505                frequency: ReportFrequency::Daily,
506                sections: vec![
507                    ReportSection {
508                        section_name: "Energy Consumption".to_string(),
509                        metrics_included: vec![
510                            "total_energy_kwh".to_string(),
511                            "peak_power".to_string(),
512                        ],
513                        visualization_type: VisualizationType::LineChart,
514                    },
515                    ReportSection {
516                        section_name: "Carbon Emissions".to_string(),
517                        metrics_included: vec![
518                            "total_co2_kg".to_string(),
519                            "carbon_intensity".to_string(),
520                        ],
521                        visualization_type: VisualizationType::BarChart,
522                    },
523                ],
524            },
525        );
526
527        templates.insert(
528            "executive_monthly".to_string(),
529            ReportTemplate {
530                template_name: "Executive Monthly Report".to_string(),
531                target_audience: "Executive Leadership".to_string(),
532                frequency: ReportFrequency::Monthly,
533                sections: vec![
534                    ReportSection {
535                        section_name: "Strategic Metrics".to_string(),
536                        metrics_included: vec![
537                            "sustainability_score".to_string(),
538                            "cost_savings".to_string(),
539                        ],
540                        visualization_type: VisualizationType::Gauge,
541                    },
542                    ReportSection {
543                        section_name: "Goal Progress".to_string(),
544                        metrics_included: vec![
545                            "carbon_goal_progress".to_string(),
546                            "efficiency_goal_progress".to_string(),
547                        ],
548                        visualization_type: VisualizationType::Table,
549                    },
550                ],
551            },
552        );
553
554        templates
555    }
556
557    /// Generate custom report for specific period
558    pub async fn generate_custom_report(&self, period: Duration) -> Result<EnvironmentalReport> {
559        let period_start = SystemTime::now() - period;
560        let period_end = SystemTime::now();
561
562        Ok(EnvironmentalReport {
563            report_id: format!("custom-{}", chrono::Utc::now().format("%Y%m%d-%H%M")),
564            report_type: ReportType::Summary,
565            generated_at: SystemTime::now(),
566            period_start,
567            period_end,
568            summary: format!("Custom period environmental analysis covering {:.1} days",
569                           period.as_secs_f64() / (24.0 * 3600.0)),
570            metrics: self.dashboard_metrics.clone(),
571            detailed_analysis: "Custom period analysis showing environmental metrics and trends for the specified timeframe".to_string(),
572            recommendations: vec![
573                SustainabilityRecommendation {
574                    category: RecommendationCategory::Performance,
575                    priority: RecommendationPriority::Medium,
576                    title: "Continue monitoring trends".to_string(),
577                    description: "Maintain current monitoring practices and look for optimization opportunities".to_string(),
578                    potential_impact: "Ongoing efficiency improvements".to_string(),
579                    implementation_steps: vec![
580                        "Review custom period insights".to_string(),
581                        "Identify actionable optimization opportunities".to_string(),
582                        "Plan implementation of improvements".to_string(),
583                    ],
584                },
585            ],
586            charts: vec![
587                ChartData {
588                    chart_type: VisualizationType::LineChart,
589                    title: "Custom Period Energy Trend".to_string(),
590                    data_points: vec![
591                        ("Start".to_string(), 100.0),
592                        ("Mid".to_string(), 95.5),
593                        ("End".to_string(), 88.2),
594                    ],
595                    labels: vec!["Time".to_string(), "Energy".to_string()],
596                },
597            ],
598        })
599    }
600}
601
602#[cfg(test)]
603mod tests {
604    use super::*;
605
606    #[test]
607    fn test_reporting_engine_creation() {
608        let engine = EnvironmentalReportingEngine::new();
609        assert!(!engine.report_templates.is_empty());
610    }
611
612    #[tokio::test]
613    async fn test_daily_report_generation() {
614        let engine = EnvironmentalReportingEngine::new();
615        let report = engine.generate_daily_report().await.expect("async operation failed");
616
617        assert!(!report.report_id.is_empty());
618        assert!(!report.summary.is_empty());
619        assert!(!report.recommendations.is_empty());
620        assert!(!report.charts.is_empty());
621    }
622
623    #[tokio::test]
624    async fn test_all_report_types() {
625        let engine = EnvironmentalReportingEngine::new();
626
627        let summary_report = engine
628            .generate_environmental_report(ReportType::Summary)
629            .await
630            .expect("async operation failed");
631        let detailed_report = engine
632            .generate_environmental_report(ReportType::Detailed)
633            .await
634            .expect("async operation failed");
635        let technical_report = engine
636            .generate_environmental_report(ReportType::Technical)
637            .await
638            .expect("async operation failed");
639        let executive_report = engine
640            .generate_environmental_report(ReportType::Executive)
641            .await
642            .expect("async operation failed");
643        let compliance_report = engine
644            .generate_environmental_report(ReportType::Compliance)
645            .await
646            .expect("async operation failed");
647
648        assert_eq!(summary_report.report_type, ReportType::Summary);
649        assert_eq!(detailed_report.report_type, ReportType::Detailed);
650        assert_eq!(technical_report.report_type, ReportType::Technical);
651        assert_eq!(executive_report.report_type, ReportType::Executive);
652        assert_eq!(compliance_report.report_type, ReportType::Compliance);
653    }
654
655    #[tokio::test]
656    async fn test_custom_report_generation() {
657        let engine = EnvironmentalReportingEngine::new();
658        let custom_period = Duration::from_secs(7 * 24 * 3600); // 7 days
659
660        let report = engine
661            .generate_custom_report(custom_period)
662            .await
663            .expect("async operation failed");
664
665        assert!(report.summary.contains("7.0 days"));
666        assert!(!report.charts.is_empty());
667    }
668
669    #[test]
670    fn test_dashboard_metrics_update() {
671        let mut engine = EnvironmentalReportingEngine::new();
672
673        let new_metrics = EnvironmentalDashboardMetrics {
674            total_energy_consumed_kwh: 250.0,
675            total_co2_emissions_kg: 100.0,
676            current_power_usage_watts: 800.0,
677            energy_efficiency_score: 0.9,
678            carbon_intensity_gco2_kwh: 350.0,
679            cost_per_hour_usd: 15.0,
680            trend: TrendDirection::Decreasing,
681        };
682
683        engine.update_dashboard_metrics(new_metrics.clone());
684
685        let updated_metrics = engine.get_dashboard_metrics();
686        assert_eq!(updated_metrics.total_energy_consumed_kwh, 250.0);
687        assert_eq!(updated_metrics.energy_efficiency_score, 0.9);
688    }
689
690    #[tokio::test]
691    async fn test_report_content_quality() {
692        let engine = EnvironmentalReportingEngine::new();
693        let report = engine.generate_monthly_report().await.expect("async operation failed");
694
695        // Verify report has substantive content
696        assert!(report.summary.len() > 50);
697        assert!(report.detailed_analysis.len() > 100);
698        assert!(!report.recommendations.is_empty());
699
700        // Verify recommendations have required fields
701        for rec in &report.recommendations {
702            assert!(!rec.title.is_empty());
703            assert!(!rec.description.is_empty());
704            assert!(!rec.implementation_steps.is_empty());
705        }
706
707        // Verify charts have data
708        for chart in &report.charts {
709            assert!(!chart.title.is_empty());
710            assert!(!chart.data_points.is_empty());
711            assert!(!chart.labels.is_empty());
712        }
713    }
714}