657 lines
20 KiB
Rust
657 lines
20 KiB
Rust
//! Core validation engine with rule-based validation system
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//!
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//! This module provides the main validation engine that orchestrates all validation
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//! operations including rule validation, statistical profiling, quality scoring,
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//! and anomaly detection.
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use std::collections::HashMap;
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use std::sync::Arc;
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use std::time::{Duration, Instant};
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use async_trait::async_trait;
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use parking_lot::RwLock;
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use serde::{Deserialize, Serialize};
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use tracing::{debug, info, warn};
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use crate::{
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DataRecord, DataValue, Result, ValidationConfig, ValidationError,
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anomaly::{AnomalyDetector, AnomalyResult},
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lineage::LineageTracker,
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metrics::{PerformanceMetrics, ValidationMetrics},
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profile::{DataProfile, StatisticalProfile},
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quality::QualityScore,
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rules::{RuleResult, RuleViolation, ValidationRule},
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schema::{SchemaManager, SchemaValidation},
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};
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/// Main validation engine that orchestrates all validation operations
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#[derive(Debug)]
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pub struct ValidationEngine {
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config: ValidationConfig,
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rules: Arc<RwLock<Vec<ValidationRule>>>,
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schema_manager: Option<SchemaManager>,
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anomaly_detector: Option<AnomalyDetector>,
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lineage_tracker: Option<LineageTracker>,
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metrics: Arc<RwLock<ValidationMetrics>>,
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}
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/// Builder for creating validation engines with custom configurations
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#[derive(Debug, Default)]
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pub struct ValidationEngineBuilder {
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config: ValidationConfig,
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rules: Vec<ValidationRule>,
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enable_schema_management: bool,
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enable_anomaly_detection: bool,
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enable_lineage_tracking: bool,
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}
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/// Result of a validation operation containing all validation details
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ValidationResult {
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/// Whether the validation passed overall
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pub is_valid: bool,
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/// Individual rule validation results
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pub rule_results: Vec<RuleResult>,
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/// Data quality score if calculated
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pub quality_score: Option<QualityScore>,
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/// Statistical profile if generated
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pub profile: Option<StatisticalProfile>,
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/// Anomaly detection results if enabled
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pub anomaly_results: Vec<AnomalyResult>,
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/// Schema validation result if enabled
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pub schema_validation: Option<SchemaValidation>,
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/// Performance metrics for the validation
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pub performance: PerformanceMetrics,
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/// Timestamp when validation was performed
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pub timestamp: chrono::DateTime<chrono::Utc>,
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}
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impl ValidationResult {
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/// Check if validation passed (no critical violations)
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pub fn is_valid(&self) -> bool {
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self.is_valid
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}
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/// Get all validation violations
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pub fn violations(&self) -> Vec<&RuleViolation> {
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self.rule_results
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.iter()
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.filter_map(|result| result.violation.as_ref())
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.collect()
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}
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/// Get critical violations that cause validation failure
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pub fn critical_violations(&self) -> Vec<&RuleViolation> {
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self.violations()
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.into_iter()
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.filter(|v| v.is_critical())
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.collect()
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}
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/// Get the overall quality score if available
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pub fn overall_quality_score(&self) -> Option<f64> {
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self.quality_score.as_ref().map(|qs| qs.overall_score())
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}
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}
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impl ValidationEngineBuilder {
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/// Create a new builder with default configuration
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pub fn new() -> Self {
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Self::default()
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}
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/// Enable statistical validation
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pub fn with_statistical_validation(mut self, enabled: bool) -> Self {
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self.config.statistical_validation = enabled;
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self
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}
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/// Enable schema enforcement
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pub fn with_schema_enforcement(mut self, enabled: bool) -> Self {
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self.config.schema_enforcement = enabled;
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self.enable_schema_management = enabled;
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self
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}
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/// Enable drift detection
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pub fn with_drift_detection(mut self, enabled: bool) -> Self {
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self.config.drift_detection = enabled;
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self
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}
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/// Enable anomaly detection
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pub fn with_anomaly_detection(mut self, enabled: bool) -> Self {
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self.config.anomaly_detection = enabled;
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self.enable_anomaly_detection = enabled;
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self
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}
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/// Enable lineage tracking
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pub fn with_lineage_tracking(mut self, enabled: bool) -> Self {
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self.config.lineage_tracking = enabled;
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self.enable_lineage_tracking = enabled;
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self
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}
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/// Set maximum number of validation errors to collect
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pub fn with_max_errors(mut self, max_errors: usize) -> Self {
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self.config.max_errors = max_errors;
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self
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}
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/// Set validation timeout
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pub fn with_timeout(mut self, timeout: Duration) -> Self {
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self.config.timeout_ms = timeout.as_millis() as u64;
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self
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}
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/// Enable performance metrics collection
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pub fn with_metrics_collection(mut self, enabled: bool) -> Self {
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self.config.collect_metrics = enabled;
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self
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}
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/// Add a validation rule
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pub fn add_rule(mut self, rule: ValidationRule) -> Self {
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self.rules.push(rule);
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self
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}
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/// Add multiple validation rules
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pub fn add_rules(mut self, rules: Vec<ValidationRule>) -> Self {
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self.rules.extend(rules);
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self
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}
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/// Build the validation engine
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pub fn build(self) -> Result<ValidationEngine> {
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let schema_manager = if self.enable_schema_management {
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Some(SchemaManager::new())
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} else {
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None
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};
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let anomaly_detector = if self.enable_anomaly_detection {
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Some(AnomalyDetector::new())
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} else {
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None
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};
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let lineage_tracker = if self.enable_lineage_tracking {
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Some(LineageTracker::new())
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} else {
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None
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};
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Ok(ValidationEngine {
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config: self.config,
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rules: Arc::new(RwLock::new(self.rules)),
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schema_manager,
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anomaly_detector,
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lineage_tracker,
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metrics: Arc::new(RwLock::new(ValidationMetrics::new())),
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})
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}
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}
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impl ValidationEngine {
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/// Create a new builder for configuring the validation engine
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pub fn builder() -> ValidationEngineBuilder {
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ValidationEngineBuilder::new()
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}
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/// Create a validation engine with default configuration
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pub fn new() -> Self {
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Self::builder()
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.build()
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.expect("Failed to create default validation engine")
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}
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/// Add a validation rule to the engine
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pub fn add_rule(&self, rule: ValidationRule) {
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self.rules.write().push(rule);
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}
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/// Add multiple validation rules to the engine
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pub fn add_rules(&self, rules: Vec<ValidationRule>) {
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self.rules.write().extend(rules);
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}
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/// Remove all validation rules
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pub fn clear_rules(&self) {
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self.rules.write().clear();
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}
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/// Get the number of configured validation rules
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pub fn rule_count(&self) -> usize {
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self.rules.read().len()
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}
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/// Validate a single data record
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pub async fn validate(&self, record: &DataRecord) -> Result<ValidationResult> {
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let start_time = Instant::now();
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let timestamp = chrono::Utc::now();
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debug!("Starting validation for record: {}", record.id);
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// Apply validation timeout
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let timeout = Duration::from_millis(self.config.timeout_ms);
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let validation_future = self.perform_validation(record);
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let result = match tokio::time::timeout(timeout, validation_future).await {
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Ok(result) => result?,
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Err(_) => {
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return Err(ValidationError::Pipeline(format!(
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"Validation timeout after {}ms",
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self.config.timeout_ms
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)));
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}
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};
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let duration = start_time.elapsed();
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// Update metrics if enabled
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if self.config.collect_metrics {
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let mut metrics = self.metrics.write();
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metrics.record_validation(duration, result.is_valid);
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}
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info!(
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"Validation completed for record {} in {}ms: {}",
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record.id,
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duration.as_millis(),
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if result.is_valid { "PASSED" } else { "FAILED" }
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);
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Ok(ValidationResult {
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is_valid: result.is_valid,
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rule_results: result.rule_results,
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quality_score: result.quality_score,
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profile: result.profile,
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anomaly_results: result.anomaly_results,
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schema_validation: result.schema_validation,
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performance: PerformanceMetrics {
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validation_duration_ms: duration.as_millis() as u64,
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avg_validation_time_ms: duration.as_millis() as f64,
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p50_validation_time_ms: duration.as_millis() as f64,
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p95_validation_time_ms: duration.as_millis() as f64,
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p99_validation_time_ms: duration.as_millis() as f64,
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max_validation_time_ms: duration.as_millis() as u64,
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min_validation_time_ms: duration.as_millis() as u64,
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rule_count: self.rule_count(),
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records_processed: 1,
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queue_depth: 0,
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active_validations: 0,
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},
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timestamp,
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})
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}
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/// Validate multiple records in batch
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pub async fn validate_batch(&self, records: &[DataRecord]) -> Result<Vec<ValidationResult>> {
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let start_time = Instant::now();
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debug!("Starting batch validation for {} records", records.len());
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let mut results = Vec::with_capacity(records.len());
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let mut valid_count = 0;
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for record in records {
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match self.validate(record).await {
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Ok(result) => {
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if result.is_valid {
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valid_count += 1;
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}
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results.push(result);
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}
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Err(e) => {
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warn!("Validation failed for record {}: {}", record.id, e);
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return Err(e);
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}
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}
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}
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let duration = start_time.elapsed();
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info!(
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"Batch validation completed: {}/{} records passed in {}ms",
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valid_count,
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records.len(),
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duration.as_millis()
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);
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Ok(results)
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}
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/// Validate data from a JSON value
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pub async fn validate_json(&self, data: &serde_json::Value) -> Result<ValidationResult> {
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let record = self.json_to_record(data)?;
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self.validate(&record).await
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}
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/// Generate a comprehensive data profile
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pub fn generate_profile(&self, record: &DataRecord) -> Result<DataProfile> {
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debug!("Generating data profile for record: {}", record.id);
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let mut profile = DataProfile::new();
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// Generate statistical profile for numerical fields
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if self.config.statistical_validation {
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let statistical_profile = self.generate_statistical_profile(&record.fields)?;
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profile.statistical = Some(statistical_profile);
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}
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// Add basic metadata
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profile.record_count = 1;
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profile.field_count = record.fields.len();
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profile.timestamp = chrono::Utc::now();
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Ok(profile)
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}
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/// Calculate quality score for a record
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pub fn calculate_quality_score(&self, record: &DataRecord) -> Result<QualityScore> {
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debug!("Calculating quality score for record: {}", record.id);
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let mut quality_score = QualityScore::new();
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// Calculate completeness score (non-null values)
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let total_fields = record.fields.len();
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let non_null_fields = record.fields.values().filter(|v| !v.is_null()).count();
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let completeness = if total_fields > 0 {
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non_null_fields as f64 / total_fields as f64
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} else {
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1.0
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};
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quality_score.set_completeness(completeness);
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// Calculate basic validity score based on rule violations
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let rules = self.rules.read();
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let mut valid_fields = 0;
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let mut total_validations = 0;
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for rule in rules.iter() {
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if let Some(field_value) = record.fields.get(rule.field_name()) {
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total_validations += 1;
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if rule.validate(field_value).violation.is_none() {
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valid_fields += 1;
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}
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}
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}
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let validity = if total_validations > 0 {
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valid_fields as f64 / total_validations as f64
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} else {
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1.0
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};
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quality_score.set_validity(validity);
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// Set default values for other scores
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quality_score.set_uniqueness(1.0); // Single record assumed unique
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quality_score.set_consistency(1.0); // No cross-record consistency check
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quality_score.set_timeliness(1.0); // Assume current data is timely
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Ok(quality_score)
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}
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/// Get validation metrics
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pub fn metrics(&self) -> ValidationMetrics {
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self.metrics.read().clone()
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}
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/// Reset validation metrics
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pub fn reset_metrics(&self) {
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self.metrics.write().reset();
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}
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// Private helper methods
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async fn perform_validation(&self, record: &DataRecord) -> Result<ValidationResult> {
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let mut rule_results = Vec::new();
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let mut is_valid = true;
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let rules = self.rules.read();
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// Apply validation rules
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for rule in rules.iter() {
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if let Some(field_value) = record.fields.get(rule.field_name()) {
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let result = rule.validate(field_value);
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if result.violation.is_some() {
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is_valid = false;
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}
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rule_results.push(result);
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}
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}
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// Generate quality score if statistical validation is enabled
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let quality_score = if self.config.statistical_validation {
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Some(self.calculate_quality_score(record)?)
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} else {
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None
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};
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// Generate statistical profile if enabled
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let profile = if self.config.statistical_validation {
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Some(self.generate_statistical_profile(&record.fields)?)
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} else {
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None
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};
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// Perform anomaly detection if enabled
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let anomaly_results = if self.config.anomaly_detection {
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if let Some(ref detector) = self.anomaly_detector {
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detector.detect_anomalies(&record.fields)?
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} else {
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Vec::new()
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}
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} else {
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Vec::new()
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};
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// Perform schema validation if enabled
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let schema_validation = if self.config.schema_enforcement {
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if let Some(ref manager) = self.schema_manager {
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Some(manager.validate_record(record)?)
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} else {
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None
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}
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} else {
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None
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};
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// Track lineage if enabled
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if self.config.lineage_tracking {
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if let Some(ref tracker) = self.lineage_tracker {
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// Note: In a real implementation, we would use Arc<Mutex<LineageTracker>>
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// For now, skip the mutable tracking to fix compilation
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// tracker.track_record(record)?;
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}
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}
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Ok(ValidationResult {
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is_valid,
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rule_results,
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quality_score,
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profile,
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anomaly_results,
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schema_validation,
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performance: PerformanceMetrics::default(),
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timestamp: chrono::Utc::now(),
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})
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}
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fn generate_statistical_profile(
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&self,
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fields: &HashMap<String, DataValue>,
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) -> Result<StatisticalProfile> {
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let mut profile = StatisticalProfile::new();
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for (field_name, value) in fields {
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if let Some(numeric_value) = value.as_f64() {
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profile.add_numeric_value(field_name, numeric_value);
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}
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}
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profile.finalize();
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Ok(profile)
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}
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fn json_to_record(&self, data: &serde_json::Value) -> Result<DataRecord> {
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let fields = match data {
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serde_json::Value::Object(map) => map
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.iter()
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.map(|(k, v)| (k.clone(), DataValue::from(v.clone())))
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.collect(),
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_ => {
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return Err(ValidationError::Format(
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"Expected JSON object for validation".to_string(),
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));
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}
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};
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Ok(DataRecord {
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id: format!(
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"json_record_{}",
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chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)
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),
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timestamp: chrono::Utc::now(),
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fields,
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metadata: HashMap::new(),
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})
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}
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}
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impl Default for ValidationEngine {
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fn default() -> Self {
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Self::new()
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}
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}
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/// Trait for custom validation operations
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#[async_trait]
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pub trait Validator {
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/// Validate a single record
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async fn validate(&self, record: &DataRecord) -> Result<ValidationResult>;
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|
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/// Validate multiple records
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async fn validate_batch(&self, records: &[DataRecord]) -> Result<Vec<ValidationResult>> {
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let mut results = Vec::with_capacity(records.len());
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for record in records {
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results.push(self.validate(record).await?);
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}
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Ok(results)
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}
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}
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#[async_trait]
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impl Validator for ValidationEngine {
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async fn validate(&self, record: &DataRecord) -> Result<ValidationResult> {
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self.validate(record).await
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}
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async fn validate_batch(&self, records: &[DataRecord]) -> Result<Vec<ValidationResult>> {
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self.validate_batch(records).await
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::rules::ValidationRule;
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|
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#[tokio::test]
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async fn test_validation_engine_creation() {
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let engine = ValidationEngine::builder()
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.with_statistical_validation(true)
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.with_schema_enforcement(true)
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.build()
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.expect("Failed to build engine");
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assert_eq!(engine.rule_count(), 0);
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}
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#[tokio::test]
|
|
async fn test_validation_engine_with_rules() {
|
|
let mut engine = ValidationEngine::builder()
|
|
.add_rule(ValidationRule::not_null("name"))
|
|
.add_rule(ValidationRule::range("age", 0.0, 120.0))
|
|
.build()
|
|
.expect("Failed to build engine");
|
|
|
|
assert_eq!(engine.rule_count(), 2);
|
|
|
|
engine.add_rule(ValidationRule::min_length("email", 5));
|
|
assert_eq!(engine.rule_count(), 3);
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn test_json_validation() {
|
|
let engine = ValidationEngine::builder()
|
|
.add_rule(ValidationRule::not_null("name"))
|
|
.add_rule(ValidationRule::range("age", 0.0, 120.0))
|
|
.build()
|
|
.expect("Failed to build engine");
|
|
|
|
let valid_data = serde_json::json!({
|
|
"name": "John Doe",
|
|
"age": 30
|
|
});
|
|
|
|
let result = engine
|
|
.validate_json(&valid_data)
|
|
.await
|
|
.expect("Validation should succeed");
|
|
|
|
assert!(result.is_valid());
|
|
assert_eq!(result.rule_results.len(), 2);
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn test_validation_with_violations() {
|
|
let engine = ValidationEngine::builder()
|
|
.add_rule(ValidationRule::not_null("name"))
|
|
.add_rule(ValidationRule::range("age", 0.0, 120.0))
|
|
.build()
|
|
.expect("Failed to build engine");
|
|
|
|
let invalid_data = serde_json::json!({
|
|
"name": null,
|
|
"age": 150
|
|
});
|
|
|
|
let result = engine
|
|
.validate_json(&invalid_data)
|
|
.await
|
|
.expect("Validation should complete");
|
|
|
|
assert!(!result.is_valid());
|
|
assert_eq!(result.violations().len(), 2);
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn test_quality_score_calculation() {
|
|
let engine = ValidationEngine::builder()
|
|
.with_statistical_validation(true)
|
|
.add_rule(ValidationRule::not_null("name"))
|
|
.add_rule(ValidationRule::range("age", 0.0, 120.0))
|
|
.build()
|
|
.expect("Failed to build engine");
|
|
|
|
let data = serde_json::json!({
|
|
"name": "John Doe",
|
|
"age": 30,
|
|
"email": null
|
|
});
|
|
|
|
let result = engine
|
|
.validate_json(&data)
|
|
.await
|
|
.expect("Validation should complete");
|
|
|
|
assert!(result.quality_score.is_some());
|
|
let quality_score = result.quality_score.unwrap();
|
|
assert!(quality_score.overall_score() > 0.0);
|
|
assert!(quality_score.overall_score() <= 1.0);
|
|
}
|
|
}
|