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trustformers_debug/environmental_monitor/
reporting.rs

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