1033 lines
32 KiB
Rust
1033 lines
32 KiB
Rust
//! Real-time validation pipeline with streaming support
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//!
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//! This module provides a comprehensive validation pipeline for both batch and
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//! streaming data processing with configurable validation stages and metrics collection.
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use std::collections::VecDeque;
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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 tokio::sync::oneshot;
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use tracing::{debug, error, info, warn};
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use crate::{
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DataRecord, Result, ValidationError,
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engine::{ValidationEngine, ValidationResult},
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metrics::ValidationMetrics,
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};
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/// Main validation pipeline
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#[derive(Debug)]
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pub struct ValidationPipeline {
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/// Pipeline configuration
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pub config: PipelineConfig,
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/// Validation stages
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pub stages: Vec<Arc<dyn ValidationStage>>,
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/// Pipeline metrics
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pub metrics: Arc<RwLock<ValidationMetrics>>,
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/// Pipeline state
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pub state: Arc<RwLock<PipelineState>>,
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}
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/// Configuration for validation pipeline
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct PipelineConfig {
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/// Pipeline name
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pub name: String,
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/// Maximum concurrent validations
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pub max_concurrent: usize,
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/// Batch size for batch processing
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pub batch_size: usize,
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/// Buffer size for streaming
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pub buffer_size: usize,
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/// Timeout for individual validations
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pub validation_timeout_ms: u64,
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/// Enable metrics collection
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pub collect_metrics: bool,
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/// Error handling strategy
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pub error_handling: ErrorHandlingStrategy,
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/// Retry configuration
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pub retry_config: RetryConfig,
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/// Performance tuning parameters
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pub performance_config: PerformanceConfig,
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}
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/// Error handling strategies
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub enum ErrorHandlingStrategy {
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/// Fail fast - stop on first error
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FailFast,
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/// Continue processing - collect all errors
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ContinueOnError,
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/// Skip invalid records
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SkipInvalid,
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/// Use fallback validation
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Fallback,
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}
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/// Retry configuration
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct RetryConfig {
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/// Maximum number of retries
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pub max_retries: u32,
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/// Base delay between retries in milliseconds
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pub base_delay_ms: u64,
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/// Exponential backoff multiplier
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pub backoff_multiplier: f64,
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/// Maximum delay between retries
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pub max_delay_ms: u64,
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/// Enable jitter for retry delays
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pub enable_jitter: bool,
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}
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/// Performance configuration
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct PerformanceConfig {
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/// Enable parallel processing
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pub parallel_processing: bool,
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/// CPU usage limit (percentage)
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pub cpu_limit_percent: f64,
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/// Memory usage limit (bytes)
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pub memory_limit_bytes: usize,
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/// I/O throttling settings
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pub io_throttling: IoThrottling,
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/// Cache configuration
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pub cache_config: CacheConfig,
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}
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/// I/O throttling settings
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct IoThrottling {
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/// Enable I/O throttling
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pub enabled: bool,
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/// Maximum I/O operations per second
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pub max_iops: u32,
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/// Maximum bandwidth in bytes per second
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pub max_bandwidth_bps: u64,
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}
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/// Cache configuration
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct CacheConfig {
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/// Enable validation result caching
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pub enabled: bool,
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/// Cache size limit
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pub size_limit: usize,
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/// Cache TTL in seconds
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pub ttl_seconds: u64,
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/// Cache eviction policy
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pub eviction_policy: CacheEvictionPolicy,
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}
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/// Cache eviction policies
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub enum CacheEvictionPolicy {
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/// Least Recently Used
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LRU,
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/// Least Frequently Used
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LFU,
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/// Time-based expiration
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TTL,
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/// First In First Out
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FIFO,
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}
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/// Pipeline state
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct PipelineState {
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/// Current pipeline status
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pub status: PipelineStatus,
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/// Number of records processed
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pub records_processed: usize,
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/// Number of validation failures
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pub validation_failures: usize,
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/// Processing start time
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pub started_at: Option<chrono::DateTime<chrono::Utc>>,
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/// Last activity timestamp
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pub last_activity: Option<chrono::DateTime<chrono::Utc>>,
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/// Current throughput (records per second)
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pub current_throughput: f64,
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/// Error details
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pub errors: Vec<PipelineError>,
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}
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/// Pipeline status
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#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
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pub enum PipelineStatus {
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/// Pipeline is idle
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Idle,
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/// Pipeline is starting up
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Starting,
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/// Pipeline is running
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Running,
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/// Pipeline is paused
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Paused,
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/// Pipeline is stopping
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Stopping,
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/// Pipeline has stopped
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Stopped,
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/// Pipeline encountered an error
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Error,
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}
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/// Pipeline error
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct PipelineError {
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/// Error timestamp
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pub timestamp: chrono::DateTime<chrono::Utc>,
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/// Error message
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pub message: String,
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/// Error code
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pub code: String,
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/// Record ID that caused the error (if applicable)
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pub record_id: Option<String>,
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/// Stage where error occurred
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pub stage: String,
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/// Error severity
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pub severity: ErrorSeverity,
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}
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/// Error severity levels
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#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Serialize, Deserialize)]
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pub enum ErrorSeverity {
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/// Information level
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Info,
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/// Warning level
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Warning,
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/// Error level
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Error,
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/// Critical error level
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Critical,
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}
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/// Validation stage trait
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#[async_trait]
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pub trait ValidationStage: Send + Sync + std::fmt::Debug {
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/// Stage name
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fn name(&self) -> &str;
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/// Stage description
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fn description(&self) -> &str;
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/// Execute validation stage
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async fn execute(&self, record: &DataRecord) -> Result<ValidationResult>;
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/// Check if stage is enabled
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fn is_enabled(&self) -> bool {
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true
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}
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/// Stage priority (higher number = higher priority)
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fn priority(&self) -> u32 {
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0
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}
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}
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/// Streaming validator for real-time processing
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#[derive(Debug)]
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pub struct StreamingValidator {
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/// Validation engine
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pub engine: Arc<ValidationEngine>,
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/// Stream configuration
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pub config: StreamConfig,
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/// Processing buffer
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pub buffer: Arc<RwLock<VecDeque<DataRecord>>>,
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/// Stream metrics
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pub metrics: Arc<RwLock<StreamMetrics>>,
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}
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/// Configuration for streaming validation
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct StreamConfig {
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/// Buffer size for incoming records
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pub buffer_size: usize,
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/// Batch size for processing
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pub batch_size: usize,
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/// Processing interval in milliseconds
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pub processing_interval_ms: u64,
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/// Maximum latency before forced processing
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pub max_latency_ms: u64,
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/// Backpressure handling strategy
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pub backpressure_strategy: BackpressureStrategy,
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/// Window configuration for windowed operations
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pub window_config: Option<WindowConfig>,
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}
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/// Backpressure handling strategies
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub enum BackpressureStrategy {
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/// Drop oldest records when buffer is full
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DropOldest,
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/// Drop newest records when buffer is full
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DropNewest,
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/// Block until buffer has space
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Block,
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/// Apply sampling to reduce load
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Sample(f64),
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/// Use spillover to disk
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Spillover,
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}
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/// Window configuration for streaming operations
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct WindowConfig {
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/// Window type
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pub window_type: WindowType,
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/// Window size
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pub window_size: Duration,
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/// Slide interval (for sliding windows)
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pub slide_interval: Option<Duration>,
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/// Allow late arrivals
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pub allow_late_arrivals: bool,
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/// Maximum lateness allowed
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pub max_lateness: Option<Duration>,
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}
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/// Types of streaming windows
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub enum WindowType {
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/// Tumbling window (non-overlapping)
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Tumbling,
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/// Sliding window (overlapping)
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Sliding,
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/// Session window (gap-based)
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Session,
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/// Global window (all data)
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Global,
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}
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/// Stream processing metrics
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct StreamMetrics {
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/// Records per second
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pub records_per_second: f64,
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/// Average processing latency
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pub avg_latency_ms: f64,
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/// 99th percentile latency
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pub p99_latency_ms: f64,
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/// Buffer utilization percentage
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pub buffer_utilization: f64,
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/// Backpressure events count
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pub backpressure_events: usize,
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/// Dropped records count
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pub dropped_records: usize,
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/// Processing errors count
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pub processing_errors: usize,
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}
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/// Batch validator for batch processing
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#[derive(Debug)]
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pub struct BatchValidator {
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/// Validation engine
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pub engine: Arc<ValidationEngine>,
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/// Batch configuration
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pub config: BatchConfig,
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/// Batch metrics
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pub metrics: Arc<RwLock<BatchMetrics>>,
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}
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/// Configuration for batch validation
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct BatchConfig {
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/// Batch size
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pub batch_size: usize,
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/// Maximum concurrent batches
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pub max_concurrent_batches: usize,
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/// Batch timeout in milliseconds
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pub batch_timeout_ms: u64,
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/// Checkpoint interval (number of batches)
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pub checkpoint_interval: usize,
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/// Enable batch optimization
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pub enable_optimization: bool,
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/// Memory limit per batch
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pub memory_limit_per_batch: usize,
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}
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/// Batch processing metrics
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct BatchMetrics {
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/// Total batches processed
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pub batches_processed: usize,
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/// Average batch processing time
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pub avg_batch_time_ms: f64,
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/// Records processed per batch (average)
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pub avg_records_per_batch: f64,
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/// Total processing time
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pub total_processing_time_ms: u64,
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/// Throughput (records per second)
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pub throughput_rps: f64,
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/// Failed batches count
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pub failed_batches: usize,
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}
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/// Validation command for pipeline control
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#[derive(Debug)]
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pub enum ValidationCommand {
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/// Start validation pipeline
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Start,
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/// Stop validation pipeline
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Stop,
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/// Pause validation pipeline
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Pause,
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/// Resume validation pipeline
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Resume,
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/// Process single record
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ProcessRecord {
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record: DataRecord,
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response: oneshot::Sender<Result<ValidationResult>>,
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},
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/// Process batch of records
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ProcessBatch {
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records: Vec<DataRecord>,
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response: oneshot::Sender<Result<Vec<ValidationResult>>>,
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},
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/// Get pipeline status
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GetStatus {
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response: oneshot::Sender<PipelineState>,
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},
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/// Get pipeline metrics
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GetMetrics {
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response: oneshot::Sender<ValidationMetrics>,
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},
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}
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impl Default for PipelineConfig {
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fn default() -> Self {
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Self {
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name: "default_pipeline".to_string(),
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max_concurrent: 10,
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batch_size: 100,
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buffer_size: 1000,
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validation_timeout_ms: 5000,
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collect_metrics: true,
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error_handling: ErrorHandlingStrategy::ContinueOnError,
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retry_config: RetryConfig::default(),
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performance_config: PerformanceConfig::default(),
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}
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}
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}
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impl Default for RetryConfig {
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fn default() -> Self {
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Self {
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max_retries: 3,
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base_delay_ms: 100,
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backoff_multiplier: 2.0,
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max_delay_ms: 5000,
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enable_jitter: true,
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}
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}
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}
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impl Default for PerformanceConfig {
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fn default() -> Self {
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Self {
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parallel_processing: true,
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cpu_limit_percent: 80.0,
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memory_limit_bytes: 1_000_000_000, // 1GB
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io_throttling: IoThrottling {
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enabled: false,
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max_iops: 1000,
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max_bandwidth_bps: 100_000_000, // 100MB/s
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},
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cache_config: CacheConfig {
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enabled: true,
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size_limit: 10000,
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ttl_seconds: 300,
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eviction_policy: CacheEvictionPolicy::LRU,
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},
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}
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}
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}
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impl Default for StreamConfig {
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fn default() -> Self {
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Self {
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buffer_size: 1000,
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batch_size: 100,
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processing_interval_ms: 1000,
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max_latency_ms: 5000,
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backpressure_strategy: BackpressureStrategy::DropOldest,
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window_config: None,
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}
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}
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}
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impl Default for BatchConfig {
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fn default() -> Self {
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Self {
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batch_size: 1000,
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max_concurrent_batches: 5,
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batch_timeout_ms: 30000,
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checkpoint_interval: 10,
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enable_optimization: true,
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memory_limit_per_batch: 100_000_000, // 100MB
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}
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}
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}
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impl ValidationPipeline {
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/// Create a new validation pipeline
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pub fn new(config: PipelineConfig) -> Self {
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Self {
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config,
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stages: Vec::new(),
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metrics: Arc::new(RwLock::new(ValidationMetrics::new())),
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state: Arc::new(RwLock::new(PipelineState {
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status: PipelineStatus::Idle,
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records_processed: 0,
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validation_failures: 0,
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started_at: None,
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last_activity: None,
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current_throughput: 0.0,
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errors: Vec::new(),
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})),
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}
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}
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/// Add a validation stage to the pipeline
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pub fn add_stage(&mut self, stage: Arc<dyn ValidationStage>) {
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self.stages.push(stage);
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// Sort stages by priority
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self.stages.sort_by(|a, b| b.priority().cmp(&a.priority()));
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}
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/// Start the validation pipeline
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pub async fn start(&mut self) -> Result<()> {
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info!("Starting validation pipeline: {}", self.config.name);
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{
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let mut state = self.state.write();
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state.status = PipelineStatus::Starting;
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state.started_at = Some(chrono::Utc::now());
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}
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// Perform startup validation
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if self.stages.is_empty() {
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warn!("Pipeline has no validation stages configured");
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}
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{
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let mut state = self.state.write();
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state.status = PipelineStatus::Running;
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}
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info!("Validation pipeline started successfully");
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Ok(())
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}
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|
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/// Stop the validation pipeline
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pub async fn stop(&mut self) -> Result<()> {
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info!("Stopping validation pipeline: {}", self.config.name);
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{
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let mut state = self.state.write();
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state.status = PipelineStatus::Stopping;
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}
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|
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// Wait for active validations to complete
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tokio::time::sleep(Duration::from_millis(100)).await;
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|
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{
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let mut state = self.state.write();
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state.status = PipelineStatus::Stopped;
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}
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info!("Validation pipeline stopped");
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Ok(())
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}
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|
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/// Process a single record through the pipeline
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pub async fn process_record(&self, record: &DataRecord) -> Result<ValidationResult> {
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let start_time = Instant::now();
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|
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// Check pipeline status
|
|
{
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let state = self.state.read();
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if state.status != PipelineStatus::Running {
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return Err(ValidationError::Pipeline(
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"Pipeline is not running".to_string(),
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));
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}
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}
|
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|
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// Execute all validation stages
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let mut final_result = ValidationResult {
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is_valid: true,
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rule_results: Vec::new(),
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quality_score: None,
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profile: None,
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anomaly_results: Vec::new(),
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schema_validation: None,
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performance: crate::metrics::PerformanceMetrics::default(),
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timestamp: chrono::Utc::now(),
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};
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|
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for stage in &self.stages {
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if !stage.is_enabled() {
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continue;
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}
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|
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debug!("Executing stage: {}", stage.name());
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|
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match tokio::time::timeout(
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Duration::from_millis(self.config.validation_timeout_ms),
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stage.execute(record),
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)
|
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.await
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{
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Ok(Ok(stage_result)) => {
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|
// Merge stage result into final result
|
|
final_result.rule_results.extend(stage_result.rule_results);
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final_result
|
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.anomaly_results
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.extend(stage_result.anomaly_results);
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|
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if !stage_result.is_valid {
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final_result.is_valid = false;
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|
}
|
|
|
|
if stage_result.quality_score.is_some() {
|
|
final_result.quality_score = stage_result.quality_score;
|
|
}
|
|
|
|
if stage_result.profile.is_some() {
|
|
final_result.profile = stage_result.profile;
|
|
}
|
|
|
|
if stage_result.schema_validation.is_some() {
|
|
final_result.schema_validation = stage_result.schema_validation;
|
|
}
|
|
}
|
|
Ok(Err(e)) => {
|
|
error!("Stage {} failed: {}", stage.name(), e);
|
|
match self.config.error_handling {
|
|
ErrorHandlingStrategy::FailFast => return Err(e),
|
|
ErrorHandlingStrategy::ContinueOnError => {
|
|
final_result.is_valid = false;
|
|
self.record_error(
|
|
&format!("Stage {} failed", stage.name()),
|
|
&e.to_string(),
|
|
Some(&record.id),
|
|
stage.name(),
|
|
);
|
|
}
|
|
ErrorHandlingStrategy::SkipInvalid => {
|
|
return Err(ValidationError::Pipeline(
|
|
"Record skipped due to stage failure".to_string(),
|
|
));
|
|
}
|
|
ErrorHandlingStrategy::Fallback => {
|
|
// Use fallback validation (simplified)
|
|
final_result.is_valid = false;
|
|
}
|
|
}
|
|
}
|
|
Err(_) => {
|
|
error!("Stage {} timed out", stage.name());
|
|
match self.config.error_handling {
|
|
ErrorHandlingStrategy::FailFast => {
|
|
return Err(ValidationError::Pipeline("Stage timeout".to_string()));
|
|
}
|
|
_ => {
|
|
final_result.is_valid = false;
|
|
self.record_error(
|
|
"Stage timeout",
|
|
"Validation stage exceeded timeout",
|
|
Some(&record.id),
|
|
stage.name(),
|
|
);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Update metrics and state
|
|
let duration = start_time.elapsed();
|
|
{
|
|
let mut state = self.state.write();
|
|
state.records_processed += 1;
|
|
if !final_result.is_valid {
|
|
state.validation_failures += 1;
|
|
}
|
|
state.last_activity = Some(chrono::Utc::now());
|
|
|
|
// Simple throughput calculation
|
|
if let Some(started_at) = state.started_at {
|
|
let elapsed_seconds = (chrono::Utc::now() - started_at).num_seconds() as f64;
|
|
if elapsed_seconds > 0.0 {
|
|
state.current_throughput = state.records_processed as f64 / elapsed_seconds;
|
|
}
|
|
}
|
|
}
|
|
|
|
if self.config.collect_metrics {
|
|
let mut metrics = self.metrics.write();
|
|
metrics.record_validation(duration, final_result.is_valid);
|
|
}
|
|
|
|
final_result.performance.validation_duration_ms = duration.as_millis() as u64;
|
|
final_result.performance.rule_count = final_result.rule_results.len();
|
|
final_result.performance.records_processed = 1;
|
|
|
|
Ok(final_result)
|
|
}
|
|
|
|
/// Process multiple records in batch
|
|
pub async fn process_batch(&self, records: &[DataRecord]) -> Result<Vec<ValidationResult>> {
|
|
let mut results = Vec::with_capacity(records.len());
|
|
|
|
// Process records sequentially for now (parallel processing can be added later with proper Arc/Mutex)
|
|
{
|
|
// Sequential processing
|
|
for record in records {
|
|
match self.process_record(record).await {
|
|
Ok(result) => results.push(result),
|
|
Err(e) => match self.config.error_handling {
|
|
ErrorHandlingStrategy::FailFast => return Err(e),
|
|
ErrorHandlingStrategy::SkipInvalid => continue,
|
|
_ => {
|
|
results.push(ValidationResult {
|
|
is_valid: false,
|
|
rule_results: Vec::new(),
|
|
quality_score: None,
|
|
profile: None,
|
|
anomaly_results: Vec::new(),
|
|
schema_validation: None,
|
|
performance: crate::metrics::PerformanceMetrics::default(),
|
|
timestamp: chrono::Utc::now(),
|
|
});
|
|
}
|
|
},
|
|
}
|
|
}
|
|
}
|
|
|
|
Ok(results)
|
|
}
|
|
|
|
/// Get current pipeline status
|
|
pub fn status(&self) -> PipelineState {
|
|
self.state.read().clone()
|
|
}
|
|
|
|
/// Get pipeline metrics
|
|
pub fn metrics(&self) -> ValidationMetrics {
|
|
self.metrics.read().clone()
|
|
}
|
|
|
|
fn record_error(&self, message: &str, details: &str, record_id: Option<&str>, stage: &str) {
|
|
let error = PipelineError {
|
|
timestamp: chrono::Utc::now(),
|
|
message: message.to_string(),
|
|
code: "STAGE_ERROR".to_string(),
|
|
record_id: record_id.map(|s| s.to_string()),
|
|
stage: stage.to_string(),
|
|
severity: ErrorSeverity::Error,
|
|
};
|
|
|
|
let mut state = self.state.write();
|
|
state.errors.push(error);
|
|
|
|
// Limit error history
|
|
if state.errors.len() > 1000 {
|
|
state.errors.remove(0);
|
|
}
|
|
}
|
|
}
|
|
|
|
impl StreamingValidator {
|
|
/// Create a new streaming validator
|
|
pub fn new(engine: Arc<ValidationEngine>, config: StreamConfig) -> Self {
|
|
let buffer_size = config.buffer_size;
|
|
Self {
|
|
engine,
|
|
config,
|
|
buffer: Arc::new(RwLock::new(VecDeque::with_capacity(buffer_size))),
|
|
metrics: Arc::new(RwLock::new(StreamMetrics {
|
|
records_per_second: 0.0,
|
|
avg_latency_ms: 0.0,
|
|
p99_latency_ms: 0.0,
|
|
buffer_utilization: 0.0,
|
|
backpressure_events: 0,
|
|
dropped_records: 0,
|
|
processing_errors: 0,
|
|
})),
|
|
}
|
|
}
|
|
|
|
/// Add a record to the stream buffer
|
|
pub async fn add_record(&self, record: DataRecord) -> Result<()> {
|
|
let mut buffer = self.buffer.write();
|
|
|
|
if buffer.len() >= self.config.buffer_size {
|
|
// Handle backpressure
|
|
match self.config.backpressure_strategy {
|
|
BackpressureStrategy::DropOldest => {
|
|
buffer.pop_front();
|
|
let mut metrics = self.metrics.write();
|
|
metrics.dropped_records += 1;
|
|
metrics.backpressure_events += 1;
|
|
}
|
|
BackpressureStrategy::DropNewest => {
|
|
let mut metrics = self.metrics.write();
|
|
metrics.dropped_records += 1;
|
|
metrics.backpressure_events += 1;
|
|
return Ok(());
|
|
}
|
|
BackpressureStrategy::Block => {
|
|
// Drop lock and wait, then retry
|
|
drop(buffer);
|
|
tokio::time::sleep(Duration::from_millis(10)).await;
|
|
return Box::pin(self.add_record(record)).await;
|
|
}
|
|
BackpressureStrategy::Sample(rate) => {
|
|
if rand::random::<f64>() > rate {
|
|
let mut metrics = self.metrics.write();
|
|
metrics.dropped_records += 1;
|
|
return Ok(());
|
|
}
|
|
}
|
|
BackpressureStrategy::Spillover => {
|
|
// In a real implementation, would spill to disk
|
|
buffer.pop_front();
|
|
let mut metrics = self.metrics.write();
|
|
metrics.dropped_records += 1;
|
|
}
|
|
}
|
|
}
|
|
|
|
buffer.push_back(record);
|
|
Ok(())
|
|
}
|
|
|
|
/// Process records from the stream buffer
|
|
pub async fn process_stream(&self) -> Result<Vec<ValidationResult>> {
|
|
let mut records_to_process = Vec::new();
|
|
|
|
{
|
|
let mut buffer = self.buffer.write();
|
|
let batch_size = self.config.batch_size.min(buffer.len());
|
|
|
|
for _ in 0..batch_size {
|
|
if let Some(record) = buffer.pop_front() {
|
|
records_to_process.push(record);
|
|
}
|
|
}
|
|
|
|
// Update buffer utilization metric
|
|
let mut metrics = self.metrics.write();
|
|
metrics.buffer_utilization =
|
|
buffer.len() as f64 / self.config.buffer_size as f64 * 100.0;
|
|
}
|
|
|
|
if records_to_process.is_empty() {
|
|
return Ok(Vec::new());
|
|
}
|
|
|
|
// Process records
|
|
let start_time = Instant::now();
|
|
let mut results = Vec::new();
|
|
|
|
for record in &records_to_process {
|
|
match self.engine.validate(record).await {
|
|
Ok(result) => results.push(result),
|
|
Err(_e) => {
|
|
let mut metrics = self.metrics.write();
|
|
metrics.processing_errors += 1;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Update metrics
|
|
let duration = start_time.elapsed();
|
|
let mut metrics = self.metrics.write();
|
|
|
|
let records_per_ms = records_to_process.len() as f64 / duration.as_millis() as f64;
|
|
metrics.records_per_second = records_per_ms * 1000.0;
|
|
metrics.avg_latency_ms = duration.as_millis() as f64 / records_to_process.len() as f64;
|
|
|
|
Ok(results)
|
|
}
|
|
|
|
/// Get current stream metrics
|
|
pub fn metrics(&self) -> StreamMetrics {
|
|
self.metrics.read().clone()
|
|
}
|
|
}
|
|
|
|
impl BatchValidator {
|
|
/// Create a new batch validator
|
|
pub fn new(engine: Arc<ValidationEngine>, config: BatchConfig) -> Self {
|
|
Self {
|
|
engine,
|
|
config,
|
|
metrics: Arc::new(RwLock::new(BatchMetrics {
|
|
batches_processed: 0,
|
|
avg_batch_time_ms: 0.0,
|
|
avg_records_per_batch: 0.0,
|
|
total_processing_time_ms: 0,
|
|
throughput_rps: 0.0,
|
|
failed_batches: 0,
|
|
})),
|
|
}
|
|
}
|
|
|
|
/// Process a batch of records
|
|
pub async fn process_batch(&self, records: Vec<DataRecord>) -> Result<Vec<ValidationResult>> {
|
|
let start_time = Instant::now();
|
|
let batch_size = records.len();
|
|
|
|
// Process batch with timeout
|
|
let validation_future = self.engine.validate_batch(&records);
|
|
let results = match tokio::time::timeout(
|
|
Duration::from_millis(self.config.batch_timeout_ms),
|
|
validation_future,
|
|
)
|
|
.await
|
|
{
|
|
Ok(Ok(results)) => results,
|
|
Ok(Err(e)) => {
|
|
let mut metrics = self.metrics.write();
|
|
metrics.failed_batches += 1;
|
|
return Err(e);
|
|
}
|
|
Err(_) => {
|
|
let mut metrics = self.metrics.write();
|
|
metrics.failed_batches += 1;
|
|
return Err(ValidationError::Pipeline("Batch timeout".to_string()));
|
|
}
|
|
};
|
|
|
|
// Update metrics
|
|
let duration = start_time.elapsed();
|
|
let mut metrics = self.metrics.write();
|
|
|
|
metrics.batches_processed += 1;
|
|
metrics.total_processing_time_ms += duration.as_millis() as u64;
|
|
metrics.avg_batch_time_ms =
|
|
metrics.total_processing_time_ms as f64 / metrics.batches_processed as f64;
|
|
|
|
let total_records = metrics.batches_processed * batch_size;
|
|
metrics.avg_records_per_batch = total_records as f64 / metrics.batches_processed as f64;
|
|
|
|
let total_seconds = metrics.total_processing_time_ms as f64 / 1000.0;
|
|
if total_seconds > 0.0 {
|
|
metrics.throughput_rps = total_records as f64 / total_seconds;
|
|
}
|
|
|
|
Ok(results)
|
|
}
|
|
|
|
/// Get current batch metrics
|
|
pub fn metrics(&self) -> BatchMetrics {
|
|
self.metrics.read().clone()
|
|
}
|
|
}
|
|
|
|
// Standard validation stage implementation
|
|
#[derive(Debug)]
|
|
pub struct StandardValidationStage {
|
|
pub name: String,
|
|
pub engine: Arc<ValidationEngine>,
|
|
pub enabled: bool,
|
|
pub priority: u32,
|
|
}
|
|
|
|
#[async_trait]
|
|
impl ValidationStage for StandardValidationStage {
|
|
fn name(&self) -> &str {
|
|
&self.name
|
|
}
|
|
|
|
fn description(&self) -> &str {
|
|
"Standard validation using ValidationEngine"
|
|
}
|
|
|
|
async fn execute(&self, record: &DataRecord) -> Result<ValidationResult> {
|
|
self.engine.validate(record).await
|
|
}
|
|
|
|
fn is_enabled(&self) -> bool {
|
|
self.enabled
|
|
}
|
|
|
|
fn priority(&self) -> u32 {
|
|
self.priority
|
|
}
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
use crate::engine::ValidationEngine;
|
|
use std::collections::HashMap;
|
|
|
|
#[tokio::test]
|
|
async fn test_pipeline_creation() {
|
|
let config = PipelineConfig::default();
|
|
let pipeline = ValidationPipeline::new(config);
|
|
|
|
assert_eq!(pipeline.stages.len(), 0);
|
|
assert_eq!(pipeline.status().status, PipelineStatus::Idle);
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn test_pipeline_start_stop() {
|
|
let config = PipelineConfig::default();
|
|
let mut pipeline = ValidationPipeline::new(config);
|
|
|
|
pipeline.start().await.unwrap();
|
|
assert_eq!(pipeline.status().status, PipelineStatus::Running);
|
|
|
|
pipeline.stop().await.unwrap();
|
|
assert_eq!(pipeline.status().status, PipelineStatus::Stopped);
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn test_streaming_validator() {
|
|
let engine = Arc::new(ValidationEngine::new());
|
|
let config = StreamConfig::default();
|
|
let validator = StreamingValidator::new(engine, config);
|
|
|
|
let record = crate::DataRecord {
|
|
id: "test".to_string(),
|
|
timestamp: chrono::Utc::now(),
|
|
fields: HashMap::new(),
|
|
metadata: HashMap::new(),
|
|
};
|
|
|
|
validator.add_record(record).await.unwrap();
|
|
let results = validator.process_stream().await.unwrap();
|
|
assert!(!results.is_empty());
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn test_batch_validator() {
|
|
let engine = Arc::new(ValidationEngine::new());
|
|
let config = BatchConfig::default();
|
|
let validator = BatchValidator::new(engine, config);
|
|
|
|
let records = vec![crate::DataRecord {
|
|
id: "test".to_string(),
|
|
timestamp: chrono::Utc::now(),
|
|
fields: HashMap::new(),
|
|
metadata: HashMap::new(),
|
|
}];
|
|
|
|
let results = validator.process_batch(records).await.unwrap();
|
|
assert!(!results.is_empty());
|
|
}
|
|
|
|
#[test]
|
|
fn test_error_severity_ordering() {
|
|
assert!(ErrorSeverity::Info < ErrorSeverity::Warning);
|
|
assert!(ErrorSeverity::Warning < ErrorSeverity::Error);
|
|
assert!(ErrorSeverity::Error < ErrorSeverity::Critical);
|
|
}
|
|
}
|