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};
#[derive(Debug)]
pub struct QualityReporter {
config: ReportConfiguration,
validation_history: VecDeque<ValidationSummary>,
quality_history: VecDeque<DataQualityAssessment>,
report_stats: ReportStatistics,
start_time: SystemTime,
}
#[derive(Debug, Clone)]
pub struct ReportConfiguration {
pub max_history_entries: usize,
pub default_format: ReportFormat,
pub include_detailed_metrics: bool,
pub generate_trend_analysis: bool,
pub include_visualization_data: bool,
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), }
}
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ReportFormat {
Summary,
Detailed,
Executive,
Technical,
Json,
Csv,
}
#[derive(Debug, Clone)]
pub struct QualityReport {
pub metadata: ReportMetadata,
pub executive_summary: ExecutiveSummary,
pub quality_overview: QualityOverview,
pub trend_analysis: Option<TrendAnalysis>,
pub issue_analysis: IssueAnalysis,
pub recommendations: Vec<QualityRecommendation>,
pub technical_details: Option<TechnicalDetails>,
}
#[derive(Debug, Clone)]
pub struct ReportMetadata {
pub generated_at: SystemTime,
pub format: ReportFormat,
pub data_period: DataPeriod,
pub total_validations: usize,
pub version: String,
}
#[derive(Debug, Clone)]
pub struct DataPeriod {
pub start: SystemTime,
pub end: SystemTime,
pub duration: Duration,
}
#[derive(Debug, Clone)]
pub struct ExecutiveSummary {
pub health_status: HealthStatus,
pub average_quality_score: f64,
pub quality_trend: String,
pub total_issues: usize,
pub critical_issues: usize,
pub processing_volume: ProcessingVolume,
pub key_achievements: Vec<String>,
pub key_concerns: Vec<String>,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum HealthStatus {
Healthy,
Warning,
Critical,
Unknown,
}
#[derive(Debug, Clone)]
pub struct ProcessingVolume {
pub total_data_points: usize,
pub avg_processing_rate: f64,
pub peak_processing_rate: f64,
pub total_memory_processed: usize,
}
#[derive(Debug, Clone)]
pub struct QualityOverview {
pub overall_metrics: OverallMetrics,
pub dimension_breakdown: HashMap<QualityDimension, DimensionMetrics>,
pub quality_distribution: QualityDistribution,
}
#[derive(Debug, Clone)]
pub struct OverallMetrics {
pub current_average: f64,
pub best_score: f64,
pub worst_score: f64,
pub variance: f64,
pub stability: f64,
}
#[derive(Debug, Clone)]
pub struct DimensionMetrics {
pub average_score: f64,
pub trend: String,
pub issue_count: usize,
pub suggestions: Vec<String>,
}
#[derive(Debug, Clone)]
pub struct QualityDistribution {
pub score_ranges: HashMap<String, usize>,
pub percentiles: HashMap<u8, f64>,
pub grade_distribution: HashMap<String, usize>,
}
#[derive(Debug, Clone)]
pub struct TrendAnalysis {
pub quality_trend: TrendData,
pub volume_trend: TrendData,
pub issue_trend: TrendData,
pub predictions: Vec<PredictiveInsight>,
}
#[derive(Debug, Clone)]
pub struct TrendData {
pub direction: String,
pub strength: f64,
pub change_rate: f64,
pub significance: f64,
}
#[derive(Debug, Clone)]
pub struct PredictiveInsight {
pub description: String,
pub confidence: f64,
pub time_horizon: String,
pub recommended_actions: Vec<String>,
}
#[derive(Debug, Clone)]
pub struct IssueAnalysis {
pub by_category: HashMap<String, usize>,
pub by_severity: HashMap<String, usize>,
pub top_issues: Vec<TopIssue>,
pub resolution_rate: f64,
}
#[derive(Debug, Clone)]
pub struct TopIssue {
pub description: String,
pub frequency: usize,
pub impact_score: f64,
pub suggested_resolution: String,
}
#[derive(Debug, Clone)]
pub struct QualityRecommendation {
pub title: String,
pub description: String,
pub priority: RecommendationPriority,
pub expected_impact: String,
pub implementation_effort: EffortLevel,
pub timeline: String,
}
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord)]
pub enum RecommendationPriority {
Low,
Medium,
High,
Critical,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum EffortLevel {
Low,
Medium,
High,
}
#[derive(Debug, Clone)]
pub struct TechnicalDetails {
pub performance_metrics: PerformanceDetails,
pub resource_usage: ResourceUsage,
pub configuration: HashMap<String, String>,
pub debug_info: Vec<String>,
}
#[derive(Debug, Clone)]
pub struct PerformanceDetails {
pub avg_validation_time: Duration,
pub throughput: f64,
pub efficiency_score: f64,
}
#[derive(Debug, Clone)]
pub struct ResourceUsage {
pub memory_usage: MemoryUsage,
pub cpu_usage: f64,
pub io_stats: IoStats,
}
#[derive(Debug, Clone)]
pub struct MemoryUsage {
pub current: usize,
pub peak: usize,
pub average: usize,
}
#[derive(Debug, Clone)]
pub struct IoStats {
pub read_ops: usize,
pub write_ops: usize,
pub bytes_read: usize,
pub bytes_written: usize,
}
#[derive(Debug, Default)]
pub struct ReportStatistics {
pub total_reports: usize,
pub reports_by_format: HashMap<ReportFormat, usize>,
pub avg_generation_time: Duration,
}
#[derive(Debug)]
pub struct QualityDashboard {
pub current_status: DashboardStatus,
pub kpis: Vec<QualityKPI>,
pub active_alerts: Vec<QualityAlert>,
pub recent_activity: Vec<ActivityEntry>,
}
#[derive(Debug, Clone)]
pub struct DashboardStatus {
pub health: HealthStatus,
pub quality_score: f64,
pub active_validations: usize,
pub uptime: Duration,
}
#[derive(Debug, Clone)]
pub struct QualityKPI {
pub name: String,
pub current_value: f64,
pub target_value: f64,
pub status: String,
pub trend: String,
}
#[derive(Debug, Clone)]
pub struct QualityAlert {
pub level: AlertLevel,
pub message: String,
pub timestamp: SystemTime,
pub component: String,
}
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord)]
pub enum AlertLevel {
Info,
Warning,
Error,
Critical,
}
#[derive(Debug, Clone)]
pub struct ActivityEntry {
pub timestamp: SystemTime,
pub activity_type: String,
pub description: String,
pub quality_score: Option<f64>,
}
impl QualityReporter {
pub fn new(config: ReportConfiguration) -> Self {
Self {
config,
validation_history: VecDeque::new(),
quality_history: VecDeque::new(),
report_stats: ReportStatistics::default(),
start_time: SystemTime::now(),
}
}
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(())
}
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(())
}
pub fn generate_report(&self, format: ReportFormat) -> RusTorchResult<String> {
let start_time = std::time::Instant::now();
let report = self.build_report(&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)
}
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,
})
}
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(),
})
}
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(), 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, peak_processing_rate: 2000.0, total_memory_processed: 1024 * 1024, },
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()],
})
}
fn build_quality_overview(&self) -> RusTorchResult<QualityOverview> {
let overall_metrics = OverallMetrics {
current_average: self.get_average_quality_score(),
best_score: 1.0, worst_score: 0.5, variance: 0.05, stability: 0.95, };
Ok(QualityOverview {
overall_metrics,
dimension_breakdown: HashMap::new(), quality_distribution: QualityDistribution {
score_ranges: HashMap::new(), percentiles: HashMap::new(), grade_distribution: HashMap::new(), },
})
}
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(), })
}
fn build_issue_analysis(&self) -> RusTorchResult<IssueAnalysis> {
Ok(IssueAnalysis {
by_category: HashMap::new(), by_severity: HashMap::new(), top_issues: Vec::new(), resolution_rate: 0.85, })
}
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(),
}])
}
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(),
})
}
fn format_detailed_report(&self, report: &QualityReport) -> RusTorchResult<String> {
let mut output = String::new();
output.push_str("📊 COMPREHENSIVE DATA QUALITY REPORT\n");
output.push_str(&"=".repeat(50));
output.push_str("\n\n");
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");
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");
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)
}
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())
}
pub fn get_validation_count(&self) -> usize {
self.validation_history.len()
}
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
}
pub fn get_uptime(&self) -> Duration {
SystemTime::now()
.duration_since(self.start_time)
.unwrap_or(Duration::from_secs(0))
}
fn count_total_issues(&self) -> usize {
self.validation_history
.iter()
.map(|v| v.validation_result.issues.len())
.sum()
}
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()
}
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()
)
}
}