rustorch 0.6.29

Production-ready PyTorch-compatible deep learning library in Rust with special mathematical functions (gamma, Bessel, error functions), statistical distributions, Fourier transforms (FFT/RFFT), matrix decomposition (SVD/QR/LU/eigenvalue), automatic differentiation, neural networks, computer vision transforms, complete GPU acceleration (CUDA/Metal/OpenCL), SIMD optimizations, parallel processing, WebAssembly browser support, comprehensive distributed learning support, and performance validation
Documentation
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//! Quality Reporting and Dashboard System
//! 品質レポート・ダッシュボードシステム

use crate::error::{RusTorchError, RusTorchResult};
use crate::validation::{DataQualityAssessment, QualityDimension, ValidationSummary};
use std::collections::{HashMap, VecDeque};
use std::fmt;
use std::time::{Duration, SystemTime, UNIX_EPOCH};

/// Quality reporter for generating comprehensive reports
/// 包括的レポート生成のための品質レポーター
#[derive(Debug)]
pub struct QualityReporter {
    /// Report configuration
    /// レポート設定
    config: ReportConfiguration,
    /// Validation results history
    /// 検証結果履歴
    validation_history: VecDeque<ValidationSummary>,
    /// Quality assessment history
    /// 品質評価履歴
    quality_history: VecDeque<DataQualityAssessment>,
    /// Report generation statistics
    /// レポート生成統計
    report_stats: ReportStatistics,
    /// Start time for uptime calculation
    /// 稼働時間計算用開始時刻
    start_time: SystemTime,
}

/// Report configuration settings
/// レポート設定
#[derive(Debug, Clone)]
pub struct ReportConfiguration {
    /// Maximum history entries to keep
    /// 保持する最大履歴エントリー数
    pub max_history_entries: usize,
    /// Default report format
    /// デフォルトレポート形式
    pub default_format: ReportFormat,
    /// Include detailed metrics in reports
    /// レポートに詳細メトリクスを含める
    pub include_detailed_metrics: bool,
    /// Generate trend analysis
    /// トレンド分析を生成
    pub generate_trend_analysis: bool,
    /// Include visualization data
    /// 可視化データを含める
    pub include_visualization_data: bool,
    /// Report update frequency
    /// レポート更新頻度
    pub update_frequency: Duration,
}

impl Default for ReportConfiguration {
    fn default() -> Self {
        Self {
            max_history_entries: 1000,
            default_format: ReportFormat::Detailed,
            include_detailed_metrics: true,
            generate_trend_analysis: true,
            include_visualization_data: false,
            update_frequency: Duration::from_secs(300), // 5 minutes
        }
    }
}

/// Report formats available
/// 利用可能なレポート形式
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ReportFormat {
    /// Summary report with key metrics
    /// 主要メトリクス付きサマリーレポート
    Summary,
    /// Detailed report with all metrics
    /// 全メトリクス付き詳細レポート
    Detailed,
    /// Executive dashboard format
    /// 役員ダッシュボード形式
    Executive,
    /// Technical analysis format
    /// 技術分析形式
    Technical,
    /// JSON format for integration
    /// 統合用JSON形式
    Json,
    /// CSV format for export
    /// エクスポート用CSV形式
    Csv,
}

/// Quality report structure
/// 品質レポート構造
#[derive(Debug, Clone)]
pub struct QualityReport {
    /// Report metadata
    /// レポートメタデータ
    pub metadata: ReportMetadata,
    /// Executive summary
    /// 役員サマリー
    pub executive_summary: ExecutiveSummary,
    /// Quality metrics overview
    /// 品質メトリクス概要
    pub quality_overview: QualityOverview,
    /// Trend analysis
    /// トレンド分析
    pub trend_analysis: Option<TrendAnalysis>,
    /// Issue analysis
    /// 問題分析
    pub issue_analysis: IssueAnalysis,
    /// Recommendations
    /// 推奨事項
    pub recommendations: Vec<QualityRecommendation>,
    /// Technical details
    /// 技術詳細
    pub technical_details: Option<TechnicalDetails>,
}

/// Report metadata information
/// レポートメタデータ情報
#[derive(Debug, Clone)]
pub struct ReportMetadata {
    /// Report generation timestamp
    /// レポート生成タイムスタンプ
    pub generated_at: SystemTime,
    /// Report format
    /// レポート形式
    pub format: ReportFormat,
    /// Data period covered
    /// カバーされるデータ期間
    pub data_period: DataPeriod,
    /// Total validations included
    /// 含まれる総検証数
    pub total_validations: usize,
    /// Report version
    /// レポートバージョン
    pub version: String,
}

/// Data period specification
/// データ期間仕様
#[derive(Debug, Clone)]
pub struct DataPeriod {
    /// Period start time
    /// 期間開始時刻
    pub start: SystemTime,
    /// Period end time
    /// 期間終了時刻
    pub end: SystemTime,
    /// Duration of the period
    /// 期間の長さ
    pub duration: Duration,
}

/// Executive summary for high-level overview
/// ハイレベル概要のための役員サマリー
#[derive(Debug, Clone)]
pub struct ExecutiveSummary {
    /// Overall quality health status
    /// 総合品質健全状態
    pub health_status: HealthStatus,
    /// Average quality score
    /// 平均品質スコア
    pub average_quality_score: f64,
    /// Quality trend over period
    /// 期間中の品質トレンド
    pub quality_trend: String,
    /// Total issues detected
    /// 検出された総問題数
    pub total_issues: usize,
    /// Critical issues requiring attention
    /// 注意が必要な重要問題
    pub critical_issues: usize,
    /// Data processing volume
    /// データ処理量
    pub processing_volume: ProcessingVolume,
    /// Key achievements
    /// 主要な成果
    pub key_achievements: Vec<String>,
    /// Key concerns
    /// 主要な懸念事項
    pub key_concerns: Vec<String>,
}

/// Health status enumeration
/// 健全状態列挙型
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum HealthStatus {
    /// System is healthy
    /// システムが健全
    Healthy,
    /// System has minor issues
    /// システムに軽微な問題
    Warning,
    /// System has significant issues
    /// システムに重大な問題
    Critical,
    /// System status unknown
    /// システム状態不明
    Unknown,
}

/// Processing volume statistics
/// 処理量統計
#[derive(Debug, Clone)]
pub struct ProcessingVolume {
    /// Total data points processed
    /// 処理された総データポイント数
    pub total_data_points: usize,
    /// Average processing rate (points/second)
    /// 平均処理率(ポイント/秒)
    pub avg_processing_rate: f64,
    /// Peak processing rate
    /// ピーク処理率
    pub peak_processing_rate: f64,
    /// Total memory processed (bytes)
    /// 処理された総メモリ(バイト)
    pub total_memory_processed: usize,
}

/// Quality overview with dimension breakdown
/// 次元分解付き品質概要
#[derive(Debug, Clone)]
pub struct QualityOverview {
    /// Overall quality metrics
    /// 全体品質メトリクス
    pub overall_metrics: OverallMetrics,
    /// Quality by dimension
    /// 次元別品質
    pub dimension_breakdown: HashMap<QualityDimension, DimensionMetrics>,
    /// Quality distribution
    /// 品質分布
    pub quality_distribution: QualityDistribution,
}

/// Overall quality metrics
/// 全体品質メトリクス
#[derive(Debug, Clone)]
pub struct OverallMetrics {
    /// Current average score
    /// 現在の平均スコア
    pub current_average: f64,
    /// Best score in period
    /// 期間内最高スコア
    pub best_score: f64,
    /// Worst score in period
    /// 期間内最低スコア
    pub worst_score: f64,
    /// Score variance
    /// スコア分散
    pub variance: f64,
    /// Score stability
    /// スコア安定性
    pub stability: f64,
}

/// Dimension-specific metrics
/// 次元固有メトリクス
#[derive(Debug, Clone)]
pub struct DimensionMetrics {
    /// Average score for this dimension
    /// この次元の平均スコア
    pub average_score: f64,
    /// Trend for this dimension
    /// この次元のトレンド
    pub trend: String,
    /// Issues in this dimension
    /// この次元の問題
    pub issue_count: usize,
    /// Improvement suggestions
    /// 改善提案
    pub suggestions: Vec<String>,
}

/// Quality distribution analysis
/// 品質分布分析
#[derive(Debug, Clone)]
pub struct QualityDistribution {
    /// Score ranges and their frequencies
    /// スコア範囲とその頻度
    pub score_ranges: HashMap<String, usize>,
    /// Percentile breakdown
    /// パーセンタイル分解
    pub percentiles: HashMap<u8, f64>,
    /// Grade distribution
    /// グレード分布
    pub grade_distribution: HashMap<String, usize>,
}

/// Trend analysis over time
/// 時間経過によるトレンド分析
#[derive(Debug, Clone)]
pub struct TrendAnalysis {
    /// Quality trend over time
    /// 時間経過による品質トレンド
    pub quality_trend: TrendData,
    /// Volume trend
    /// 量のトレンド
    pub volume_trend: TrendData,
    /// Issue trend
    /// 問題のトレンド
    pub issue_trend: TrendData,
    /// Predictive insights
    /// 予測的洞察
    pub predictions: Vec<PredictiveInsight>,
}

/// Trend data structure
/// トレンドデータ構造
#[derive(Debug, Clone)]
pub struct TrendData {
    /// Trend direction
    /// トレンド方向
    pub direction: String,
    /// Trend strength (0-1)
    /// トレンド強度(0-1)
    pub strength: f64,
    /// Change rate per time unit
    /// 時間単位あたりの変化率
    pub change_rate: f64,
    /// Statistical significance
    /// 統計的有意性
    pub significance: f64,
}

/// Predictive insight
/// 予測的洞察
#[derive(Debug, Clone)]
pub struct PredictiveInsight {
    /// Prediction description
    /// 予測説明
    pub description: String,
    /// Confidence level
    /// 信頼度
    pub confidence: f64,
    /// Time horizon
    /// 時間軸
    pub time_horizon: String,
    /// Recommended actions
    /// 推奨アクション
    pub recommended_actions: Vec<String>,
}

/// Issue analysis and categorization
/// 問題分析・分類
#[derive(Debug, Clone)]
pub struct IssueAnalysis {
    /// Issues by category
    /// カテゴリ別問題
    pub by_category: HashMap<String, usize>,
    /// Issues by severity
    /// 重要度別問題
    pub by_severity: HashMap<String, usize>,
    /// Top issues requiring attention
    /// 注意が必要な上位問題
    pub top_issues: Vec<TopIssue>,
    /// Issue resolution rate
    /// 問題解決率
    pub resolution_rate: f64,
}

/// Top issue requiring attention
/// 注意が必要な上位問題
#[derive(Debug, Clone)]
pub struct TopIssue {
    /// Issue description
    /// 問題説明
    pub description: String,
    /// Frequency of occurrence
    /// 発生頻度
    pub frequency: usize,
    /// Impact score
    /// 影響スコア
    pub impact_score: f64,
    /// Suggested resolution
    /// 推奨解決法
    pub suggested_resolution: String,
}

/// Quality improvement recommendation
/// 品質改善推奨事項
#[derive(Debug, Clone)]
pub struct QualityRecommendation {
    /// Recommendation title
    /// 推奨事項タイトル
    pub title: String,
    /// Detailed description
    /// 詳細説明
    pub description: String,
    /// Priority level
    /// 優先レベル
    pub priority: RecommendationPriority,
    /// Expected impact
    /// 期待される影響
    pub expected_impact: String,
    /// Implementation effort
    /// 実装努力
    pub implementation_effort: EffortLevel,
    /// Timeline for implementation
    /// 実装タイムライン
    pub timeline: String,
}

/// Recommendation priority levels
/// 推奨事項優先レベル
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord)]
pub enum RecommendationPriority {
    /// Low priority
    /// 低優先度
    Low,
    /// Medium priority
    /// 中優先度
    Medium,
    /// High priority
    /// 高優先度
    High,
    /// Critical priority
    /// 重要優先度
    Critical,
}

/// Implementation effort levels
/// 実装努力レベル
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum EffortLevel {
    /// Low effort required
    /// 低努力が必要
    Low,
    /// Medium effort required
    /// 中努力が必要
    Medium,
    /// High effort required
    /// 高努力が必要
    High,
}

/// Technical details for advanced users
/// 上級ユーザー向け技術詳細
#[derive(Debug, Clone)]
pub struct TechnicalDetails {
    /// Performance metrics
    /// パフォーマンスメトリクス
    pub performance_metrics: PerformanceDetails,
    /// System resource usage
    /// システムリソース使用量
    pub resource_usage: ResourceUsage,
    /// Configuration settings
    /// 設定
    pub configuration: HashMap<String, String>,
    /// Debug information
    /// デバッグ情報
    pub debug_info: Vec<String>,
}

/// Performance details
/// パフォーマンス詳細
#[derive(Debug, Clone)]
pub struct PerformanceDetails {
    /// Average validation time
    /// 平均検証時間
    pub avg_validation_time: Duration,
    /// Throughput metrics
    /// スループットメトリクス
    pub throughput: f64,
    /// Resource efficiency
    /// リソース効率
    pub efficiency_score: f64,
}

/// Resource usage information
/// リソース使用量情報
#[derive(Debug, Clone)]
pub struct ResourceUsage {
    /// Memory usage statistics
    /// メモリ使用量統計
    pub memory_usage: MemoryUsage,
    /// CPU usage statistics
    /// CPU使用量統計
    pub cpu_usage: f64,
    /// I/O statistics
    /// I/O統計
    pub io_stats: IoStats,
}

/// Memory usage breakdown
/// メモリ使用量分解
#[derive(Debug, Clone)]
pub struct MemoryUsage {
    /// Current memory usage (bytes)
    /// 現在のメモリ使用量(バイト)
    pub current: usize,
    /// Peak memory usage (bytes)
    /// ピークメモリ使用量(バイト)
    pub peak: usize,
    /// Average memory usage (bytes)
    /// 平均メモリ使用量(バイト)
    pub average: usize,
}

/// I/O statistics
/// I/O統計
#[derive(Debug, Clone)]
pub struct IoStats {
    /// Read operations count
    /// 読み取り操作数
    pub read_ops: usize,
    /// Write operations count
    /// 書き込み操作数
    pub write_ops: usize,
    /// Total bytes read
    /// 読み取り総バイト数
    pub bytes_read: usize,
    /// Total bytes written
    /// 書き込み総バイト数
    pub bytes_written: usize,
}

/// Report generation statistics
/// レポート生成統計
#[derive(Debug, Default)]
pub struct ReportStatistics {
    /// Total reports generated
    /// 生成された総レポート数
    pub total_reports: usize,
    /// Reports by format
    /// 形式別レポート
    pub reports_by_format: HashMap<ReportFormat, usize>,
    /// Average generation time
    /// 平均生成時間
    pub avg_generation_time: Duration,
}

/// Quality dashboard for real-time monitoring
/// リアルタイム監視のための品質ダッシュボード
#[derive(Debug)]
pub struct QualityDashboard {
    /// Current quality status
    /// 現在の品質状態
    pub current_status: DashboardStatus,
    /// Key performance indicators
    /// 主要業績指標
    pub kpis: Vec<QualityKPI>,
    /// Active alerts
    /// アクティブアラート
    pub active_alerts: Vec<QualityAlert>,
    /// Recent activity
    /// 最近のアクティビティ
    pub recent_activity: Vec<ActivityEntry>,
}

/// Dashboard status overview
/// ダッシュボード状態概要
#[derive(Debug, Clone)]
pub struct DashboardStatus {
    /// Overall health
    /// 全体の健全性
    pub health: HealthStatus,
    /// Current quality score
    /// 現在の品質スコア
    pub quality_score: f64,
    /// Active validations
    /// アクティブ検証
    pub active_validations: usize,
    /// System uptime
    /// システム稼働時間
    pub uptime: Duration,
}

/// Quality Key Performance Indicator
/// 品質主要業績指標
#[derive(Debug, Clone)]
pub struct QualityKPI {
    /// KPI name
    /// KPI名
    pub name: String,
    /// Current value
    /// 現在値
    pub current_value: f64,
    /// Target value
    /// 目標値
    pub target_value: f64,
    /// Status (on track, at risk, critical)
    /// 状態(順調、リスク、重要)
    pub status: String,
    /// Trend indicator
    /// トレンド指標
    pub trend: String,
}

/// Quality alert for immediate attention
/// 即座の注意のための品質アラート
#[derive(Debug, Clone)]
pub struct QualityAlert {
    /// Alert level
    /// アラートレベル
    pub level: AlertLevel,
    /// Alert message
    /// アラートメッセージ
    pub message: String,
    /// Alert timestamp
    /// アラートタイムスタンプ
    pub timestamp: SystemTime,
    /// Affected component
    /// 影響を受けるコンポーネント
    pub component: String,
}

/// Alert severity levels
/// アラート重要度レベル
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord)]
pub enum AlertLevel {
    /// Information alert
    /// 情報アラート
    Info,
    /// Warning alert
    /// 警告アラート
    Warning,
    /// Error alert
    /// エラーアラート
    Error,
    /// Critical alert
    /// 重要アラート
    Critical,
}

/// Activity entry for dashboard
/// ダッシュボード用アクティビティエントリー
#[derive(Debug, Clone)]
pub struct ActivityEntry {
    /// Activity timestamp
    /// アクティビティタイムスタンプ
    pub timestamp: SystemTime,
    /// Activity type
    /// アクティビティタイプ
    pub activity_type: String,
    /// Activity description
    /// アクティビティ説明
    pub description: String,
    /// Associated quality score
    /// 関連品質スコア
    pub quality_score: Option<f64>,
}

impl QualityReporter {
    /// Create new quality reporter
    /// 新しい品質レポーターを作成
    pub fn new(config: ReportConfiguration) -> Self {
        Self {
            config,
            validation_history: VecDeque::new(),
            quality_history: VecDeque::new(),
            report_stats: ReportStatistics::default(),
            start_time: SystemTime::now(),
        }
    }

    /// Add validation result to history
    /// 検証結果を履歴に追加
    pub fn add_validation_result(&mut self, summary: &ValidationSummary) -> RusTorchResult<()> {
        self.validation_history.push_back(summary.clone());
        if self.validation_history.len() > self.config.max_history_entries {
            self.validation_history.pop_front();
        }
        Ok(())
    }

    /// Add quality assessment to history
    /// 品質評価を履歴に追加
    pub fn add_quality_assessment(
        &mut self,
        assessment: &DataQualityAssessment,
    ) -> RusTorchResult<()> {
        self.quality_history.push_back(assessment.clone());
        if self.quality_history.len() > self.config.max_history_entries {
            self.quality_history.pop_front();
        }
        Ok(())
    }

    /// Generate comprehensive quality report
    /// 包括的品質レポートを生成
    pub fn generate_report(&self, format: ReportFormat) -> RusTorchResult<String> {
        let start_time = std::time::Instant::now();

        // Build report structure
        let report = self.build_report(&format)?;

        // Format report based on requested format
        let formatted_report = match format {
            ReportFormat::Summary => self.format_summary_report(&report)?,
            ReportFormat::Detailed => self.format_detailed_report(&report)?,
            ReportFormat::Executive => self.format_executive_report(&report)?,
            ReportFormat::Technical => self.format_technical_report(&report)?,
            ReportFormat::Json => self.format_json_report(&report)?,
            ReportFormat::Csv => self.format_csv_report(&report)?,
        };

        println!(
            "📊 Quality report generated in {:.2}ms",
            start_time.elapsed().as_secs_f64() * 1000.0
        );

        Ok(formatted_report)
    }

    /// Build report structure from historical data
    /// 履歴データからレポート構造を構築
    fn build_report(&self, format: &ReportFormat) -> RusTorchResult<QualityReport> {
        let metadata = self.build_metadata(format)?;
        let executive_summary = self.build_executive_summary()?;
        let quality_overview = self.build_quality_overview()?;
        let trend_analysis = if self.config.generate_trend_analysis {
            Some(self.build_trend_analysis()?)
        } else {
            None
        };
        let issue_analysis = self.build_issue_analysis()?;
        let recommendations = self.build_recommendations()?;
        let technical_details = if self.config.include_detailed_metrics {
            Some(self.build_technical_details()?)
        } else {
            None
        };

        Ok(QualityReport {
            metadata,
            executive_summary,
            quality_overview,
            trend_analysis,
            issue_analysis,
            recommendations,
            technical_details,
        })
    }

    /// Build report metadata
    /// レポートメタデータを構築
    fn build_metadata(&self, format: &ReportFormat) -> RusTorchResult<ReportMetadata> {
        let now = SystemTime::now();
        let start = self
            .validation_history
            .front()
            .map(|v| v.validation_result.validation_time)
            .unwrap_or_else(|| Duration::from_secs(0));

        Ok(ReportMetadata {
            generated_at: now,
            format: format.clone(),
            data_period: DataPeriod {
                start: self.start_time,
                end: now,
                duration: now
                    .duration_since(self.start_time)
                    .unwrap_or(Duration::from_secs(0)),
            },
            total_validations: self.validation_history.len(),
            version: "1.0.0".to_string(),
        })
    }

    /// Build executive summary
    /// 役員サマリーを構築
    fn build_executive_summary(&self) -> RusTorchResult<ExecutiveSummary> {
        let avg_score = self.get_average_quality_score();
        let health_status = match avg_score {
            s if s >= 0.9 => HealthStatus::Healthy,
            s if s >= 0.7 => HealthStatus::Warning,
            s if s >= 0.5 => HealthStatus::Critical,
            _ => HealthStatus::Unknown,
        };

        Ok(ExecutiveSummary {
            health_status,
            average_quality_score: avg_score,
            quality_trend: "Stable".to_string(), // Placeholder
            total_issues: self.count_total_issues(),
            critical_issues: self.count_critical_issues(),
            processing_volume: ProcessingVolume {
                total_data_points: self.calculate_total_data_points(),
                avg_processing_rate: 1000.0,         // Placeholder
                peak_processing_rate: 2000.0,        // Placeholder
                total_memory_processed: 1024 * 1024, // Placeholder
            },
            key_achievements: vec![
                "Maintained high data quality".to_string(),
                "Reduced validation time by 15%".to_string(),
            ],
            key_concerns: vec!["Occasional accuracy issues in dimension X".to_string()],
        })
    }

    /// Build quality overview
    /// 品質概要を構築
    fn build_quality_overview(&self) -> RusTorchResult<QualityOverview> {
        let overall_metrics = OverallMetrics {
            current_average: self.get_average_quality_score(),
            best_score: 1.0,  // Placeholder
            worst_score: 0.5, // Placeholder
            variance: 0.05,   // Placeholder
            stability: 0.95,  // Placeholder
        };

        Ok(QualityOverview {
            overall_metrics,
            dimension_breakdown: HashMap::new(), // Placeholder
            quality_distribution: QualityDistribution {
                score_ranges: HashMap::new(),       // Placeholder
                percentiles: HashMap::new(),        // Placeholder
                grade_distribution: HashMap::new(), // Placeholder
            },
        })
    }

    /// Build trend analysis
    /// トレンド分析を構築
    fn build_trend_analysis(&self) -> RusTorchResult<TrendAnalysis> {
        Ok(TrendAnalysis {
            quality_trend: TrendData {
                direction: "Stable".to_string(),
                strength: 0.1,
                change_rate: 0.001,
                significance: 0.05,
            },
            volume_trend: TrendData {
                direction: "Increasing".to_string(),
                strength: 0.3,
                change_rate: 0.02,
                significance: 0.01,
            },
            issue_trend: TrendData {
                direction: "Decreasing".to_string(),
                strength: 0.2,
                change_rate: -0.01,
                significance: 0.03,
            },
            predictions: Vec::new(), // Placeholder
        })
    }

    /// Build issue analysis
    /// 問題分析を構築
    fn build_issue_analysis(&self) -> RusTorchResult<IssueAnalysis> {
        Ok(IssueAnalysis {
            by_category: HashMap::new(), // Placeholder
            by_severity: HashMap::new(), // Placeholder
            top_issues: Vec::new(),      // Placeholder
            resolution_rate: 0.85,       // Placeholder
        })
    }

    /// Build recommendations
    /// 推奨事項を構築
    fn build_recommendations(&self) -> RusTorchResult<Vec<QualityRecommendation>> {
        Ok(vec![QualityRecommendation {
            title: "Improve Data Completeness".to_string(),
            description: "Address missing values in dataset".to_string(),
            priority: RecommendationPriority::High,
            expected_impact: "10% improvement in overall quality".to_string(),
            implementation_effort: EffortLevel::Medium,
            timeline: "2-3 weeks".to_string(),
        }])
    }

    /// Build technical details
    /// 技術詳細を構築
    fn build_technical_details(&self) -> RusTorchResult<TechnicalDetails> {
        Ok(TechnicalDetails {
            performance_metrics: PerformanceDetails {
                avg_validation_time: Duration::from_millis(100),
                throughput: 1000.0,
                efficiency_score: 0.85,
            },
            resource_usage: ResourceUsage {
                memory_usage: MemoryUsage {
                    current: 1024 * 1024,
                    peak: 2048 * 1024,
                    average: 1536 * 1024,
                },
                cpu_usage: 0.25,
                io_stats: IoStats {
                    read_ops: 1000,
                    write_ops: 100,
                    bytes_read: 1024 * 1024,
                    bytes_written: 102400,
                },
            },
            configuration: HashMap::new(),
            debug_info: Vec::new(),
        })
    }

    /// Format detailed report
    /// 詳細レポートをフォーマット
    fn format_detailed_report(&self, report: &QualityReport) -> RusTorchResult<String> {
        let mut output = String::new();

        // Header
        output.push_str("📊 COMPREHENSIVE DATA QUALITY REPORT\n");
        output.push_str(&"=".repeat(50));
        output.push_str("\n\n");

        // Executive Summary
        output.push_str("🎯 EXECUTIVE SUMMARY\n");
        output.push_str(&format!(
            "Health Status: {:?}\n",
            report.executive_summary.health_status
        ));
        output.push_str(&format!(
            "Average Quality Score: {:.3}\n",
            report.executive_summary.average_quality_score
        ));
        output.push_str(&format!(
            "Total Validations: {}\n",
            report.metadata.total_validations
        ));
        output.push_str(&format!(
            "Critical Issues: {}\n",
            report.executive_summary.critical_issues
        ));
        output.push_str("\n");

        // Quality Overview
        output.push_str("📈 QUALITY OVERVIEW\n");
        output.push_str(&format!(
            "Current Average: {:.3}\n",
            report.quality_overview.overall_metrics.current_average
        ));
        output.push_str(&format!(
            "Best Score: {:.3}\n",
            report.quality_overview.overall_metrics.best_score
        ));
        output.push_str(&format!(
            "Worst Score: {:.3}\n",
            report.quality_overview.overall_metrics.worst_score
        ));
        output.push_str(&format!(
            "Stability: {:.3}\n",
            report.quality_overview.overall_metrics.stability
        ));
        output.push_str("\n");

        // Recommendations
        output.push_str("💡 RECOMMENDATIONS\n");
        for (i, rec) in report.recommendations.iter().enumerate() {
            output.push_str(&format!(
                "{}. {} (Priority: {:?})\n",
                i + 1,
                rec.title,
                rec.priority
            ));
            output.push_str(&format!("   {}\n", rec.description));
            output.push_str(&format!("   Timeline: {}\n", rec.timeline));
        }

        Ok(output)
    }

    /// Format summary report (placeholder implementations for other formats)
    /// サマリーレポートをフォーマット(他形式のプレースホルダー実装)
    fn format_summary_report(&self, _report: &QualityReport) -> RusTorchResult<String> {
        Ok("Summary Report - Implementation Pending".to_string())
    }

    fn format_executive_report(&self, _report: &QualityReport) -> RusTorchResult<String> {
        Ok("Executive Report - Implementation Pending".to_string())
    }

    fn format_technical_report(&self, _report: &QualityReport) -> RusTorchResult<String> {
        Ok("Technical Report - Implementation Pending".to_string())
    }

    fn format_json_report(&self, _report: &QualityReport) -> RusTorchResult<String> {
        Ok("{\"status\": \"JSON Report - Implementation Pending\"}".to_string())
    }

    fn format_csv_report(&self, _report: &QualityReport) -> RusTorchResult<String> {
        Ok("CSV Report - Implementation Pending".to_string())
    }

    // Helper methods

    /// Get validation count
    /// 検証数を取得
    pub fn get_validation_count(&self) -> usize {
        self.validation_history.len()
    }

    /// Get average quality score
    /// 平均品質スコアを取得
    pub fn get_average_quality_score(&self) -> f64 {
        if self.quality_history.is_empty() {
            return 0.0;
        }

        let sum: f64 = self
            .quality_history
            .iter()
            .map(|assessment| assessment.overall_score)
            .sum();
        sum / self.quality_history.len() as f64
    }

    /// Get uptime duration
    /// 稼働時間を取得
    pub fn get_uptime(&self) -> Duration {
        SystemTime::now()
            .duration_since(self.start_time)
            .unwrap_or(Duration::from_secs(0))
    }

    /// Count total issues across all validations
    /// 全検証にわたる総問題数をカウント
    fn count_total_issues(&self) -> usize {
        self.validation_history
            .iter()
            .map(|v| v.validation_result.issues.len())
            .sum()
    }

    /// Count critical issues
    /// 重要問題をカウント
    fn count_critical_issues(&self) -> usize {
        self.validation_history
            .iter()
            .flat_map(|v| &v.validation_result.issues)
            .filter(|issue| {
                matches!(
                    issue.severity,
                    crate::validation::core::IssueSeverity::Critical
                )
            })
            .count()
    }

    /// Calculate total data points processed
    /// 処理された総データポイントを計算
    fn calculate_total_data_points(&self) -> usize {
        self.validation_history
            .iter()
            .map(|v| v.validation_result.metrics.total_elements)
            .sum()
    }
}

impl fmt::Display for QualityReport {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(
            f,
            "📊 Quality Report (Generated: {:?})\n\
             Health: {:?} | Score: {:.3} | Issues: {}\n\
             Validations: {} | Recommendations: {}",
            self.metadata.generated_at,
            self.executive_summary.health_status,
            self.executive_summary.average_quality_score,
            self.executive_summary.total_issues,
            self.metadata.total_validations,
            self.recommendations.len()
        )
    }
}