use crate::error::{RusTorchError, RusTorchResult};
use std::collections::HashMap;
use std::fmt;
use std::sync::{Arc, Mutex};
use std::time::{Duration, Instant};
pub mod anomaly_detector;
pub mod consistency_checker;
pub mod core;
pub mod quality_metrics;
pub mod quality_reporter;
pub mod real_time_validator;
pub use anomaly_detector::{
AnomalyConfiguration, AnomalyDetector, AnomalyResult, AnomalyType, OutlierDetection,
StatisticalMethod,
};
pub use consistency_checker::{
ConsistencyChecker, ConsistencyResult, ConsistencyRule, DataConsistency, ReferentialIntegrity,
};
pub use core::{
DataSchema, SchemaValidation, ValidationConfig, ValidationEngine, ValidationLevel,
ValidationResult, ValidationRule,
};
pub use quality_metrics::{
DataQualityAssessment, MetricThresholds, QualityDimension, QualityMetrics, QualityScore,
QualityTrend,
};
pub use quality_reporter::{
QualityDashboard, QualityReport, QualityReporter, ReportConfiguration, ReportFormat,
};
pub use real_time_validator::{
RealTimeConfig, RealTimeValidator, StreamingValidation, ValidationBuffer, ValidationStream,
};
#[derive(Debug)]
pub struct DataValidationFramework {
validation_engine: ValidationEngine,
quality_metrics: QualityMetrics,
anomaly_detector: AnomalyDetector,
consistency_checker: ConsistencyChecker,
real_time_validator: Option<RealTimeValidator>,
quality_reporter: QualityReporter,
config: FrameworkConfig,
}
#[derive(Debug, Clone)]
pub struct FrameworkConfig {
pub enable_real_time: bool,
pub performance_budget_us: u64,
pub quality_threshold: f64,
pub enable_anomaly_detection: bool,
pub enable_auto_reporting: bool,
}
impl Default for FrameworkConfig {
fn default() -> Self {
Self {
enable_real_time: true,
performance_budget_us: 1000, quality_threshold: 0.8, enable_anomaly_detection: true,
enable_auto_reporting: true,
}
}
}
impl DataValidationFramework {
pub fn new(config: FrameworkConfig) -> RusTorchResult<Self> {
let validation_engine = ValidationEngine::new(ValidationConfig::default())?;
let quality_metrics = QualityMetrics::new();
let anomaly_detector = AnomalyDetector::new(AnomalyConfiguration::default());
let consistency_checker = ConsistencyChecker::new();
let quality_reporter = QualityReporter::new(ReportConfiguration::default());
let real_time_validator = if config.enable_real_time {
Some(RealTimeValidator::new(RealTimeConfig::default())?)
} else {
None
};
Ok(Self {
validation_engine,
quality_metrics,
anomaly_detector,
consistency_checker,
real_time_validator,
quality_reporter,
config,
})
}
pub fn validate_tensor_data<T>(
&mut self,
tensor: &crate::tensor::Tensor<T>,
) -> RusTorchResult<ValidationSummary>
where
T: num_traits::Float + std::fmt::Debug + Clone + Send + Sync + 'static,
{
let start_time = Instant::now();
let validation_result = self.validation_engine.validate_tensor(tensor)?;
let quality_assessment = self.quality_metrics.assess_quality(tensor)?;
let anomaly_result = if self.config.enable_anomaly_detection {
Some(self.anomaly_detector.detect_anomalies(tensor)?)
} else {
None
};
let consistency_result = self.consistency_checker.check_consistency(tensor)?;
let validation_time = start_time.elapsed();
if validation_time.as_micros() as u64 > self.config.performance_budget_us {
println!(
"⚠️ Validation exceeded performance budget: {}μs > {}μs",
validation_time.as_micros(),
self.config.performance_budget_us
);
}
let summary = ValidationSummary {
validation_result,
quality_assessment: quality_assessment.clone(),
anomaly_result,
consistency_result,
validation_time,
overall_quality_score: quality_assessment.overall_score,
passed: quality_assessment.overall_score >= self.config.quality_threshold,
};
if self.config.enable_auto_reporting {
self.quality_reporter.add_validation_result(&summary)?;
}
Ok(summary)
}
pub fn start_real_time_monitoring(&mut self) -> RusTorchResult<()> {
if let Some(validator) = &mut self.real_time_validator {
validator.start_monitoring()?;
println!("🔍 Real-time data validation monitoring started");
}
Ok(())
}
pub fn stop_real_time_monitoring(&mut self) -> RusTorchResult<()> {
if let Some(validator) = &mut self.real_time_validator {
validator.stop_monitoring()?;
println!("🔍 Real-time data validation monitoring stopped");
}
Ok(())
}
pub fn generate_quality_report(&self, format: ReportFormat) -> RusTorchResult<String> {
self.quality_reporter.generate_report(format)
}
pub fn get_statistics(&self) -> FrameworkStatistics {
FrameworkStatistics {
total_validations: self.quality_reporter.get_validation_count(),
average_quality_score: self.quality_reporter.get_average_quality_score(),
anomalies_detected: self.anomaly_detector.get_anomaly_count(),
consistency_violations: self.consistency_checker.get_violation_count(),
uptime: self.quality_reporter.get_uptime(),
}
}
}
#[derive(Debug, Clone)]
pub struct FrameworkStatistics {
pub total_validations: usize,
pub average_quality_score: f64,
pub anomalies_detected: usize,
pub consistency_violations: usize,
pub uptime: Duration,
}
impl fmt::Display for FrameworkStatistics {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(
f,
"📊 Data Validation Framework Statistics\n\
=====================================\n\
Total Validations: {}\n\
Average Quality Score: {:.2}\n\
Anomalies Detected: {}\n\
Consistency Violations: {}\n\
Uptime: {:.2}s",
self.total_validations,
self.average_quality_score,
self.anomalies_detected,
self.consistency_violations,
self.uptime.as_secs_f64()
)
}
}
#[derive(Debug, Clone)]
pub struct ValidationSummary {
pub validation_result: ValidationResult,
pub quality_assessment: DataQualityAssessment,
pub anomaly_result: Option<AnomalyResult>,
pub consistency_result: ConsistencyResult,
pub validation_time: Duration,
pub overall_quality_score: f64,
pub passed: bool,
}
impl fmt::Display for ValidationSummary {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
let status = if self.passed {
"✅ PASSED"
} else {
"❌ FAILED"
};
write!(
f,
"🔍 Data Validation Summary\n\
========================\n\
Status: {}\n\
Overall Quality Score: {:.2}\n\
Validation Time: {:.3}ms\n\
Basic Validation: {}\n\
Quality Assessment: {:.2} ({})\n\
Anomalies: {}\n\
Consistency: {}",
status,
self.overall_quality_score,
self.validation_time.as_secs_f64() * 1000.0,
if self.validation_result.is_valid {
"✅"
} else {
"❌"
},
self.quality_assessment.overall_score,
self.quality_assessment.quality_grade(),
if let Some(ref anomaly) = self.anomaly_result {
if anomaly.anomalies_found > 0 {
format!("{} detected", anomaly.anomalies_found)
} else {
"None".to_string()
}
} else {
"Disabled".to_string()
},
if self.consistency_result.is_consistent {
"✅"
} else {
"❌"
}
)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_framework_creation() {
let config = FrameworkConfig::default();
let result = DataValidationFramework::new(config);
assert!(result.is_ok());
}
#[test]
fn test_framework_config_default() {
let config = FrameworkConfig::default();
assert!(config.enable_real_time);
assert_eq!(config.performance_budget_us, 1000);
assert_eq!(config.quality_threshold, 0.8);
assert!(config.enable_anomaly_detection);
assert!(config.enable_auto_reporting);
}
}