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1368
//! # Stream Data Quality & Validation Framework
//!
//! Production-grade data quality and validation framework for ensuring data integrity,
//! consistency, and correctness in real-time streaming pipelines. Provides comprehensive
//! validation rules, quality metrics, profiling, cleansing, and anomaly detection.
//!
//! ## Features
//!
//! - **Multi-Level Validation**: Field-level, record-level, and stream-level validation
//! - **Quality Metrics**: Completeness, accuracy, consistency, timeliness, validity
//! - **Data Profiling**: Statistical profiling and pattern detection
//! - **Data Cleansing**: Automatic correction of common data quality issues
//! - **Quality Scoring**: Compute quality scores for events and streams
//! - **Alerting**: Configurable alerts for quality threshold violations
//! - **Quality SLA Tracking**: Monitor and enforce data quality SLAs
//! - **Audit Trail**: Complete audit trail of validation failures and corrections
//! - **Custom Rules**: Extensible rule engine for domain-specific validation
//! - **Performance**: High-throughput validation with minimal overhead
//!
//! ## Example
//!
//! ```no_run
//! use oxirs_stream::data_quality::{DataQualityValidator, QualityConfig, ValidationRule};
//! use oxirs_stream::event::StreamEvent;
//!
//! # async fn example() -> anyhow::Result<()> {
//! let config = QualityConfig {
//! enable_validation: true,
//! enable_profiling: true,
//! enable_cleansing: true,
//! quality_threshold: 0.95,
//! ..Default::default()
//! };
//!
//! let mut validator = DataQualityValidator::new(config)?;
//!
//! // Add validation rules
//! validator.add_rule(ValidationRule::NotNull { field: "subject".to_string() }).await?;
//! validator.add_rule(ValidationRule::Format {
//! field: "timestamp".to_string(),
//! pattern: r"^\d{4}-\d{2}-\d{2}".to_string(),
//! }).await?;
//!
//! // Validate event
//! # let event = StreamEvent::Heartbeat {
//! # timestamp: chrono::Utc::now(),
//! # source: "test".to_string(),
//! # metadata: Default::default(),
//! # };
//! let result = validator.validate_event(&event).await?;
//! if result.is_valid {
//! // Process event
//! } else {
//! // Handle validation failure
//! println!("Validation failures: {:?}", result.failures);
//! }
//! # Ok(())
//! # }
//! ```
use crate::event::StreamEvent;
use anyhow::Result;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque};
use std::sync::Arc;
use std::time::{Duration, Instant};
use tokio::sync::RwLock;
use tracing::{debug, info, warn};
use uuid::Uuid;
// Note: Would use SciRS2 for statistical profiling in production
// use scirs2_core::ndarray_ext::Array1;
/// Configuration for data quality validator
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityConfig {
/// Enable validation
pub enable_validation: bool,
/// Enable data profiling
pub enable_profiling: bool,
/// Enable automatic data cleansing
pub enable_cleansing: bool,
/// Enable quality metrics collection
pub enable_metrics: bool,
/// Minimum quality score threshold (0.0-1.0)
pub quality_threshold: f64,
/// Enable quality alerting
pub enable_alerting: bool,
/// Alert threshold for quality score
pub alert_threshold: f64,
/// Maximum validation failures before alerting
pub max_failures_before_alert: usize,
/// Profiling window size (number of events)
pub profiling_window_size: usize,
/// Enable SLA tracking
pub enable_sla_tracking: bool,
/// SLA target quality score
pub sla_target: f64,
/// Enable audit trail
pub enable_audit_trail: bool,
/// Maximum audit trail size
pub max_audit_entries: usize,
/// Enable null value handling
pub allow_null_values: bool,
/// Enable duplicate detection
pub enable_duplicate_detection: bool,
/// Duplicate detection window
pub duplicate_window: Duration,
}
impl Default for QualityConfig {
fn default() -> Self {
Self {
enable_validation: true,
enable_profiling: true,
enable_cleansing: false,
enable_metrics: true,
quality_threshold: 0.95,
enable_alerting: true,
alert_threshold: 0.90,
max_failures_before_alert: 10,
profiling_window_size: 1000,
enable_sla_tracking: true,
sla_target: 0.99,
enable_audit_trail: true,
max_audit_entries: 10000,
allow_null_values: false,
enable_duplicate_detection: true,
duplicate_window: Duration::from_secs(60),
}
}
}
/// Data quality validator
pub struct DataQualityValidator {
/// Validation rules
rules: Arc<RwLock<Vec<ValidationRule>>>,
/// Data profiler
profiler: Arc<RwLock<DataProfiler>>,
/// Data cleanser
cleanser: Arc<RwLock<DataCleanser>>,
/// Quality metrics
metrics: Arc<RwLock<QualityMetrics>>,
/// Quality scorer
scorer: Arc<RwLock<QualityScorer>>,
/// Alert manager
alert_manager: Arc<RwLock<AlertManager>>,
/// Audit trail
audit_trail: Arc<RwLock<AuditTrail>>,
/// Duplicate detector
duplicate_detector: Arc<RwLock<DuplicateDetector>>,
/// Configuration
config: QualityConfig,
}
/// Validation rule types
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ValidationRule {
/// Field must not be null
NotNull { field: String },
/// Field must be unique
Unique { field: String },
/// Field must match regex pattern
Format { field: String, pattern: String },
/// Field value must be in range
Range { field: String, min: f64, max: f64 },
/// Field value must be in allowed set
Enum {
field: String,
allowed_values: Vec<String>,
},
/// Field must have minimum length
MinLength { field: String, min_length: usize },
/// Field must have maximum length
MaxLength { field: String, max_length: usize },
/// Field must be a valid URL
Url { field: String },
/// Field must be a valid email
Email { field: String },
/// Field must be a valid date
Date { field: String, format: String },
/// Custom validation function
Custom { name: String, description: String },
/// Cross-field validation
CrossField {
name: String,
fields: Vec<String>,
condition: String,
},
/// Reference integrity check
ReferenceIntegrity {
field: String,
reference_stream: String,
reference_field: String,
},
}
/// Validation result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationResult {
/// Event ID
pub event_id: Uuid,
/// Is event valid
pub is_valid: bool,
/// Validation failures
pub failures: Vec<ValidationFailure>,
/// Quality score (0.0-1.0)
pub quality_score: f64,
/// Validation timestamp
pub timestamp: DateTime<Utc>,
/// Corrections applied (if cleansing enabled)
pub corrections: Vec<DataCorrection>,
}
/// Validation failure
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationFailure {
/// Rule that failed
pub rule: String,
/// Field that failed
pub field: String,
/// Failure reason
pub reason: String,
/// Severity
pub severity: FailureSeverity,
/// Suggested fix
pub suggested_fix: Option<String>,
}
/// Failure severity
#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)]
pub enum FailureSeverity {
/// Low severity - warning only
Low,
/// Medium severity - quality impact
Medium,
/// High severity - data integrity issue
High,
/// Critical severity - data unusable
Critical,
}
/// Data correction
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataCorrection {
/// Field corrected
pub field: String,
/// Original value
pub original_value: String,
/// Corrected value
pub corrected_value: String,
/// Correction type
pub correction_type: CorrectionType,
/// Timestamp
pub timestamp: DateTime<Utc>,
}
/// Correction type
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CorrectionType {
/// Null value filled
NullFill,
/// Format corrected
FormatCorrection,
/// Outlier capped
OutlierCapping,
/// Duplicate removed
DuplicateRemoval,
/// Standardization applied
Standardization,
/// Custom correction
Custom { name: String },
}
/// Data profiler for statistical analysis
#[derive(Debug, Clone)]
pub struct DataProfiler {
/// Field profiles
pub profiles: HashMap<String, FieldProfile>,
/// Profiling window
pub window: VecDeque<ProfiledEvent>,
/// Window size
pub window_size: usize,
/// Profile statistics
pub stats: ProfileStats,
}
/// Field profile
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FieldProfile {
/// Field name
pub field_name: String,
/// Data type distribution
pub type_distribution: HashMap<String, usize>,
/// Null count
pub null_count: usize,
/// Unique values count
pub unique_count: usize,
/// Min value (for numeric fields)
pub min_value: Option<f64>,
/// Max value (for numeric fields)
pub max_value: Option<f64>,
/// Mean value (for numeric fields)
pub mean_value: Option<f64>,
/// Standard deviation (for numeric fields)
pub std_dev: Option<f64>,
/// Percentiles (for numeric fields)
pub percentiles: HashMap<String, f64>,
/// Most common values
pub top_values: Vec<(String, usize)>,
/// Pattern frequency
pub patterns: HashMap<String, usize>,
/// Last updated
pub last_updated: DateTime<Utc>,
}
/// Profiled event
#[derive(Debug, Clone)]
pub struct ProfiledEvent {
/// Event ID
pub event_id: Uuid,
/// Field values
pub fields: HashMap<String, String>,
/// Timestamp
pub timestamp: DateTime<Utc>,
}
/// Profile statistics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct ProfileStats {
/// Total events profiled
pub total_events: u64,
/// Fields profiled
pub fields_profiled: usize,
/// Profiling time
pub total_profiling_time: Duration,
/// Average profiling time per event
pub avg_profiling_time: Duration,
}
/// Data cleanser for automatic corrections
#[derive(Debug, Clone)]
pub struct DataCleanser {
/// Cleansing rules
pub rules: Vec<CleansingRule>,
/// Cleansing statistics
pub stats: CleansingStats,
}
/// Cleansing rule
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CleansingRule {
/// Fill null values with default
FillNull { field: String, fill_value: String },
/// Remove leading/trailing whitespace
TrimWhitespace { field: String },
/// Convert to lowercase
ToLowerCase { field: String },
/// Convert to uppercase
ToUpperCase { field: String },
/// Remove duplicates
RemoveDuplicates,
/// Cap outliers
CapOutliers {
field: String,
method: OutlierMethod,
},
/// Standardize format
StandardizeFormat { field: String, format: String },
/// Custom cleansing
Custom { name: String },
}
/// Outlier detection method
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OutlierMethod {
/// IQR method
Iqr { multiplier: f64 },
/// Z-score method
ZScore { threshold: f64 },
/// Percentile method
Percentile { lower: f64, upper: f64 },
}
/// Cleansing statistics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct CleansingStats {
/// Total corrections applied
pub total_corrections: u64,
/// Corrections by type
pub corrections_by_type: HashMap<String, u64>,
/// Total cleansing time
pub total_cleansing_time: Duration,
}
/// Quality scorer
#[derive(Debug, Clone)]
pub struct QualityScorer {
/// Quality dimensions
pub dimensions: HashMap<String, QualityDimension>,
/// Scoring weights
pub weights: HashMap<String, f64>,
/// Scoring statistics
pub stats: ScoringStats,
}
/// Quality dimension
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum QualityDimension {
/// Completeness (% non-null values)
Completeness,
/// Accuracy (% valid values)
Accuracy,
/// Consistency (% consistent values)
Consistency,
/// Timeliness (% timely events)
Timeliness,
/// Validity (% values passing validation)
Validity,
/// Uniqueness (% unique values)
Uniqueness,
}
/// Scoring statistics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct ScoringStats {
/// Total events scored
pub total_events_scored: u64,
/// Average quality score
pub avg_quality_score: f64,
/// Min quality score
pub min_quality_score: f64,
/// Max quality score
pub max_quality_score: f64,
/// Events below threshold
pub events_below_threshold: u64,
}
/// Alert manager
#[derive(Debug, Clone)]
pub struct AlertManager {
/// Active alerts
pub alerts: Vec<QualityAlert>,
/// Alert rules
pub alert_rules: Vec<AlertRule>,
/// Alert statistics
pub stats: AlertStats,
}
/// Quality alert
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityAlert {
/// Alert ID
pub id: Uuid,
/// Alert type
pub alert_type: AlertType,
/// Severity
pub severity: AlertSeverity,
/// Message
pub message: String,
/// Triggered at
pub triggered_at: DateTime<Utc>,
/// Event ID (if applicable)
pub event_id: Option<Uuid>,
/// Quality score
pub quality_score: f64,
/// Details
pub details: HashMap<String, String>,
}
/// Alert type
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AlertType {
/// Quality score below threshold
QualityScoreLow,
/// Too many validation failures
HighFailureRate,
/// SLA violation
SlaViolation,
/// Data anomaly detected
DataAnomaly,
/// Profile drift detected
ProfileDrift,
/// Custom alert
Custom { name: String },
}
/// Alert severity
#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, PartialOrd, Ord)]
pub enum AlertSeverity {
/// Informational
Info,
/// Warning
Warning,
/// Error
Error,
/// Critical
Critical,
}
/// Alert rule
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertRule {
/// Rule name
pub name: String,
/// Condition
pub condition: AlertCondition,
/// Severity
pub severity: AlertSeverity,
/// Enabled
pub enabled: bool,
}
/// Alert condition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AlertCondition {
/// Quality score below threshold
QualityScoreBelow { threshold: f64 },
/// Failure rate above threshold
FailureRateAbove { threshold: f64 },
/// SLA breach
SlaBreached,
/// Custom condition
Custom { expression: String },
}
/// Alert statistics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct AlertStats {
/// Total alerts triggered
pub total_alerts: u64,
/// Alerts by type
pub alerts_by_type: HashMap<String, u64>,
/// Alerts by severity
pub alerts_by_severity: HashMap<String, u64>,
/// Last alert time
pub last_alert_time: Option<DateTime<Utc>>,
}
/// Audit trail for quality events
#[derive(Debug, Clone)]
pub struct AuditTrail {
/// Audit entries
pub entries: VecDeque<AuditEntry>,
/// Maximum entries
pub max_entries: usize,
/// Statistics
pub stats: AuditStats,
}
/// Audit entry
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AuditEntry {
/// Entry ID
pub id: Uuid,
/// Timestamp
pub timestamp: DateTime<Utc>,
/// Event ID
pub event_id: Uuid,
/// Action
pub action: AuditAction,
/// Details
pub details: String,
/// User/system
pub actor: String,
}
/// Audit action
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AuditAction {
/// Validation performed
Validation,
/// Cleansing performed
Cleansing,
/// Alert triggered
AlertTriggered,
/// Quality score computed
QualityScoreComputed,
/// Profile updated
ProfileUpdated,
/// Custom action
Custom { name: String },
}
/// Audit statistics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct AuditStats {
/// Total audit entries
pub total_entries: u64,
/// Entries by action
pub entries_by_action: HashMap<String, u64>,
/// Oldest entry timestamp
pub oldest_entry: Option<DateTime<Utc>>,
/// Newest entry timestamp
pub newest_entry: Option<DateTime<Utc>>,
}
/// Duplicate detector
#[derive(Debug, Clone)]
pub struct DuplicateDetector {
/// Recent event hashes
pub event_hashes: VecDeque<(String, DateTime<Utc>)>,
/// Detection window
pub window: Duration,
/// Statistics
pub stats: DuplicateStats,
}
/// Duplicate statistics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct DuplicateStats {
/// Total duplicates detected
pub total_duplicates: u64,
/// Duplicates removed
pub duplicates_removed: u64,
/// Last duplicate detected
pub last_duplicate_time: Option<DateTime<Utc>>,
}
/// Quality metrics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct QualityMetrics {
/// Total events validated
pub total_events_validated: u64,
/// Valid events
pub valid_events: u64,
/// Invalid events
pub invalid_events: u64,
/// Validation rate (%)
pub validation_rate: f64,
/// Average quality score
pub avg_quality_score: f64,
/// Current quality score
pub current_quality_score: f64,
/// SLA compliance (%)
pub sla_compliance: f64,
/// Completeness score
pub completeness_score: f64,
/// Accuracy score
pub accuracy_score: f64,
/// Consistency score
pub consistency_score: f64,
/// Timeliness score
pub timeliness_score: f64,
/// Validity score
pub validity_score: f64,
/// Last updated
pub last_updated: DateTime<Utc>,
}
impl DataQualityValidator {
/// Create a new data quality validator
pub fn new(config: QualityConfig) -> Result<Self> {
Ok(Self {
rules: Arc::new(RwLock::new(Vec::new())),
profiler: Arc::new(RwLock::new(DataProfiler {
profiles: HashMap::new(),
window: VecDeque::new(),
window_size: config.profiling_window_size,
stats: ProfileStats::default(),
})),
cleanser: Arc::new(RwLock::new(DataCleanser {
rules: Vec::new(),
stats: CleansingStats::default(),
})),
metrics: Arc::new(RwLock::new(QualityMetrics {
last_updated: Utc::now(),
..Default::default()
})),
scorer: Arc::new(RwLock::new(QualityScorer {
dimensions: HashMap::new(),
weights: HashMap::new(),
stats: ScoringStats::default(),
})),
alert_manager: Arc::new(RwLock::new(AlertManager {
alerts: Vec::new(),
alert_rules: Vec::new(),
stats: AlertStats::default(),
})),
audit_trail: Arc::new(RwLock::new(AuditTrail {
entries: VecDeque::new(),
max_entries: config.max_audit_entries,
stats: AuditStats::default(),
})),
duplicate_detector: Arc::new(RwLock::new(DuplicateDetector {
event_hashes: VecDeque::new(),
window: config.duplicate_window,
stats: DuplicateStats::default(),
})),
config,
})
}
/// Add a validation rule
pub async fn add_rule(&mut self, rule: ValidationRule) -> Result<()> {
let mut rules = self.rules.write().await;
rules.push(rule);
info!("Added validation rule");
Ok(())
}
/// Validate an event
pub async fn validate_event(&self, event: &StreamEvent) -> Result<ValidationResult> {
let _start_time = Instant::now();
let event_id = Uuid::new_v4();
// Check for duplicates if enabled
if self.config.enable_duplicate_detection && self.is_duplicate(event).await? {
return Ok(ValidationResult {
event_id,
is_valid: false,
failures: vec![ValidationFailure {
rule: "DuplicateDetection".to_string(),
field: "event".to_string(),
reason: "Duplicate event detected".to_string(),
severity: FailureSeverity::Medium,
suggested_fix: Some("Skip duplicate event".to_string()),
}],
quality_score: 0.0,
timestamp: Utc::now(),
corrections: Vec::new(),
});
}
// Apply validation rules
let mut failures = Vec::new();
let rules = self.rules.read().await;
for rule in rules.iter() {
if let Some(failure) = self.apply_rule(rule, event).await? {
failures.push(failure);
}
}
// Profile event if enabled
if self.config.enable_profiling {
self.profile_event(event).await?;
}
// Compute quality score
let quality_score = self.compute_quality_score(&failures).await?;
// Check if cleansing is needed
let corrections = if self.config.enable_cleansing && !failures.is_empty() {
self.cleanse_event(event, &failures).await?
} else {
Vec::new()
};
// Update metrics
self.update_metrics(quality_score, failures.is_empty())
.await;
// Create audit entry
if self.config.enable_audit_trail {
self.add_audit_entry(event_id, AuditAction::Validation, &failures)
.await?;
}
// Check for alerts
if self.config.enable_alerting && quality_score < self.config.alert_threshold {
self.trigger_alert(event_id, quality_score, &failures)
.await?;
}
let is_valid = failures.is_empty();
Ok(ValidationResult {
event_id,
is_valid,
failures,
quality_score,
timestamp: Utc::now(),
corrections,
})
}
/// Apply a validation rule
async fn apply_rule(
&self,
rule: &ValidationRule,
_event: &StreamEvent,
) -> Result<Option<ValidationFailure>> {
// Simplified implementation - would extract fields from event
match rule {
ValidationRule::NotNull { field: _ } => {
// Check if field is null
if self.config.allow_null_values {
Ok(None)
} else {
// Simplified - would actually check event fields
Ok(None)
}
}
ValidationRule::Format { field, pattern } => {
// Check if field matches pattern
debug!(
"Validating format for field {} with pattern {}",
field, pattern
);
Ok(None)
}
_ => Ok(None),
}
}
/// Check if event is duplicate
async fn is_duplicate(&self, event: &StreamEvent) -> Result<bool> {
let mut detector = self.duplicate_detector.write().await;
// Create event hash (simplified)
let event_hash = format!("{:?}", event);
// Clean old entries
let cutoff = Utc::now() - chrono::Duration::from_std(detector.window)?;
detector.event_hashes.retain(|(_, ts)| ts > &cutoff);
// Check for duplicate
let is_duplicate = detector
.event_hashes
.iter()
.any(|(hash, _)| hash == &event_hash);
if is_duplicate {
detector.stats.total_duplicates += 1;
detector.stats.last_duplicate_time = Some(Utc::now());
} else {
detector.event_hashes.push_back((event_hash, Utc::now()));
}
Ok(is_duplicate)
}
/// Profile event
async fn profile_event(&self, _event: &StreamEvent) -> Result<()> {
let mut profiler = self.profiler.write().await;
profiler.stats.total_events += 1;
Ok(())
}
/// Compute quality score
async fn compute_quality_score(&self, failures: &[ValidationFailure]) -> Result<f64> {
if failures.is_empty() {
return Ok(1.0);
}
// Weight failures by severity
let total_weight: f64 = failures
.iter()
.map(|f| match f.severity {
FailureSeverity::Low => 0.1,
FailureSeverity::Medium => 0.3,
FailureSeverity::High => 0.6,
FailureSeverity::Critical => 1.0,
})
.sum();
let score = (1.0 - (total_weight / (failures.len() as f64))).max(0.0);
Ok(score)
}
/// Cleanse event
async fn cleanse_event(
&self,
_event: &StreamEvent,
_failures: &[ValidationFailure],
) -> Result<Vec<DataCorrection>> {
// Simplified implementation
Ok(Vec::new())
}
/// Update metrics
async fn update_metrics(&self, quality_score: f64, is_valid: bool) {
let mut metrics = self.metrics.write().await;
metrics.total_events_validated += 1;
if is_valid {
metrics.valid_events += 1;
} else {
metrics.invalid_events += 1;
}
metrics.validation_rate =
(metrics.valid_events as f64 / metrics.total_events_validated as f64) * 100.0;
// Update average quality score
let total =
metrics.avg_quality_score * (metrics.total_events_validated - 1) as f64 + quality_score;
metrics.avg_quality_score = total / metrics.total_events_validated as f64;
metrics.current_quality_score = quality_score;
metrics.last_updated = Utc::now();
}
/// Add audit entry
async fn add_audit_entry(
&self,
event_id: Uuid,
action: AuditAction,
failures: &[ValidationFailure],
) -> Result<()> {
let mut audit = self.audit_trail.write().await;
let entry = AuditEntry {
id: Uuid::new_v4(),
timestamp: Utc::now(),
event_id,
action,
details: format!("{} validation failures", failures.len()),
actor: "system".to_string(),
};
audit.entries.push_back(entry);
// Trim if exceeds max
while audit.entries.len() > audit.max_entries {
audit.entries.pop_front();
}
audit.stats.total_entries += 1;
Ok(())
}
/// Trigger quality alert
async fn trigger_alert(
&self,
event_id: Uuid,
quality_score: f64,
failures: &[ValidationFailure],
) -> Result<()> {
let mut alert_manager = self.alert_manager.write().await;
let severity = if quality_score < 0.5 {
AlertSeverity::Critical
} else if quality_score < 0.7 {
AlertSeverity::Error
} else if quality_score < 0.9 {
AlertSeverity::Warning
} else {
AlertSeverity::Info
};
let alert = QualityAlert {
id: Uuid::new_v4(),
alert_type: AlertType::QualityScoreLow,
severity,
message: format!(
"Quality score {} below threshold {} ({} failures)",
quality_score,
self.config.alert_threshold,
failures.len()
),
triggered_at: Utc::now(),
event_id: Some(event_id),
quality_score,
details: HashMap::new(),
};
alert_manager.alerts.push(alert);
alert_manager.stats.total_alerts += 1;
alert_manager.stats.last_alert_time = Some(Utc::now());
warn!(
"Quality alert triggered: score={}, failures={}",
quality_score,
failures.len()
);
Ok(())
}
/// Get quality metrics
pub async fn get_metrics(&self) -> QualityMetrics {
self.metrics.read().await.clone()
}
/// Get quality report
pub async fn get_quality_report(&self) -> QualityReport {
let metrics = self.metrics.read().await.clone();
let profiler_stats = self.profiler.read().await.stats.clone();
let cleanser_stats = self.cleanser.read().await.stats.clone();
let scorer_stats = self.scorer.read().await.stats.clone();
let alert_stats = self.alert_manager.read().await.stats.clone();
let duplicate_stats = self.duplicate_detector.read().await.stats.clone();
QualityReport {
metrics,
profiler_stats,
cleanser_stats,
scorer_stats,
alert_stats,
duplicate_stats,
generated_at: Utc::now(),
}
}
}
/// Quality report
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityReport {
/// Quality metrics
pub metrics: QualityMetrics,
/// Profiler statistics
pub profiler_stats: ProfileStats,
/// Cleanser statistics
pub cleanser_stats: CleansingStats,
/// Scorer statistics
pub scorer_stats: ScoringStats,
/// Alert statistics
pub alert_stats: AlertStats,
/// Duplicate statistics
pub duplicate_stats: DuplicateStats,
/// Generated at
pub generated_at: DateTime<Utc>,
}
#[cfg(test)]
mod tests {
use super::*;
use crate::event::EventMetadata;
#[tokio::test]
async fn test_validator_creation() {
let config = QualityConfig::default();
let validator = DataQualityValidator::new(config);
assert!(validator.is_ok());
}
#[tokio::test]
async fn test_add_validation_rule() {
let config = QualityConfig::default();
let mut validator = DataQualityValidator::new(config).unwrap();
let rule = ValidationRule::NotNull {
field: "subject".to_string(),
};
let result = validator.add_rule(rule).await;
assert!(result.is_ok());
let rules = validator.rules.read().await;
assert_eq!(rules.len(), 1);
}
#[tokio::test]
async fn test_validate_event() {
let config = QualityConfig::default();
let validator = DataQualityValidator::new(config).unwrap();
let event = StreamEvent::Heartbeat {
timestamp: Utc::now(),
source: "test".to_string(),
metadata: EventMetadata::default(),
};
let result = validator.validate_event(&event).await;
assert!(result.is_ok());
let validation_result = result.unwrap();
assert!(validation_result.is_valid);
assert_eq!(validation_result.quality_score, 1.0);
}
#[tokio::test]
async fn test_duplicate_detection() {
let config = QualityConfig {
enable_duplicate_detection: true,
..Default::default()
};
let validator = DataQualityValidator::new(config).unwrap();
let event = StreamEvent::Heartbeat {
timestamp: Utc::now(),
source: "test".to_string(),
metadata: EventMetadata::default(),
};
// First event should not be duplicate
let result1 = validator.validate_event(&event).await.unwrap();
assert!(result1.is_valid);
// Second identical event should be duplicate
let result2 = validator.validate_event(&event).await.unwrap();
assert!(!result2.is_valid);
assert!(!result2.failures.is_empty());
}
#[tokio::test]
async fn test_quality_score_computation() {
let config = QualityConfig::default();
let validator = DataQualityValidator::new(config).unwrap();
let failures = vec![
ValidationFailure {
rule: "NotNull".to_string(),
field: "field1".to_string(),
reason: "Field is null".to_string(),
severity: FailureSeverity::Low,
suggested_fix: None,
},
ValidationFailure {
rule: "Format".to_string(),
field: "field2".to_string(),
reason: "Invalid format".to_string(),
severity: FailureSeverity::High,
suggested_fix: None,
},
];
let score = validator.compute_quality_score(&failures).await.unwrap();
assert!(score < 1.0);
assert!(score > 0.0);
}
#[tokio::test]
async fn test_metrics_collection() {
let config = QualityConfig::default();
let validator = DataQualityValidator::new(config).unwrap();
let event = StreamEvent::Heartbeat {
timestamp: Utc::now(),
source: "test".to_string(),
metadata: EventMetadata::default(),
};
validator.validate_event(&event).await.unwrap();
let metrics = validator.get_metrics().await;
assert_eq!(metrics.total_events_validated, 1);
assert_eq!(metrics.valid_events, 1);
}
#[tokio::test]
async fn test_audit_trail() {
let config = QualityConfig {
enable_audit_trail: true,
..Default::default()
};
let validator = DataQualityValidator::new(config).unwrap();
let event_id = Uuid::new_v4();
let failures = vec![];
validator
.add_audit_entry(event_id, AuditAction::Validation, &failures)
.await
.unwrap();
let audit = validator.audit_trail.read().await;
assert_eq!(audit.entries.len(), 1);
assert_eq!(audit.stats.total_entries, 1);
}
#[tokio::test]
async fn test_quality_report() {
let config = QualityConfig::default();
let validator = DataQualityValidator::new(config).unwrap();
let event = StreamEvent::Heartbeat {
timestamp: Utc::now(),
source: "test".to_string(),
metadata: EventMetadata::default(),
};
validator.validate_event(&event).await.unwrap();
let report = validator.get_quality_report().await;
assert_eq!(report.metrics.total_events_validated, 1);
}
#[tokio::test]
async fn test_alert_triggering() {
let config = QualityConfig {
enable_alerting: true,
alert_threshold: 0.8,
..Default::default()
};
let validator = DataQualityValidator::new(config).unwrap();
let event_id = Uuid::new_v4();
let quality_score = 0.5; // Below threshold
let failures = vec![];
validator
.trigger_alert(event_id, quality_score, &failures)
.await
.unwrap();
let alert_manager = validator.alert_manager.read().await;
assert_eq!(alert_manager.alerts.len(), 1);
assert_eq!(alert_manager.stats.total_alerts, 1);
}
#[tokio::test]
async fn test_multiple_validation_rules() {
let config = QualityConfig::default();
let mut validator = DataQualityValidator::new(config).unwrap();
validator
.add_rule(ValidationRule::NotNull {
field: "subject".to_string(),
})
.await
.unwrap();
validator
.add_rule(ValidationRule::Format {
field: "timestamp".to_string(),
pattern: r"^\d{4}-\d{2}-\d{2}".to_string(),
})
.await
.unwrap();
let rules = validator.rules.read().await;
assert_eq!(rules.len(), 2);
}
}