use crate::error::{RusTorchError, RusTorchResult};
use std::collections::VecDeque;
use std::sync::{Arc, Mutex};
use std::time::{Duration, Instant};
#[derive(Debug)]
pub struct RealTimeValidator {
config: RealTimeConfig,
buffer: Arc<Mutex<ValidationBuffer>>,
is_running: Arc<Mutex<bool>>,
stats: ValidationStats,
}
#[derive(Debug, Clone)]
pub struct RealTimeConfig {
pub buffer_size: usize,
pub validation_interval: Duration,
pub alert_threshold: f64,
pub enable_continuous_monitoring: bool,
}
impl Default for RealTimeConfig {
fn default() -> Self {
Self {
buffer_size: 1000,
validation_interval: Duration::from_millis(100),
alert_threshold: 0.8,
enable_continuous_monitoring: true,
}
}
}
#[derive(Debug)]
pub struct ValidationBuffer {
pub results: VecDeque<StreamingValidationResult>,
pub max_size: usize,
}
pub struct StreamingValidation {
config: RealTimeConfig,
}
impl StreamingValidation {
pub fn new(config: RealTimeConfig) -> Self {
Self { config }
}
pub fn validate_chunk<T>(
&self,
_tensor: &crate::tensor::Tensor<T>,
) -> RusTorchResult<StreamingValidationResult>
where
T: num_traits::Float + std::fmt::Debug + Clone + Send + Sync + 'static,
{
Ok(StreamingValidationResult {
timestamp: Instant::now(),
quality_score: 0.9,
is_valid: true,
issues_detected: 0,
processing_time: Duration::from_millis(1),
})
}
}
pub struct ValidationStream {
config: RealTimeConfig,
position: usize,
}
impl ValidationStream {
pub fn new(config: RealTimeConfig) -> Self {
Self {
config,
position: 0,
}
}
pub fn process_next<T>(
&mut self,
_tensor: &crate::tensor::Tensor<T>,
) -> RusTorchResult<StreamingValidationResult>
where
T: num_traits::Float + std::fmt::Debug + Clone + Send + Sync + 'static,
{
self.position += 1;
Ok(StreamingValidationResult {
timestamp: Instant::now(),
quality_score: 0.9,
is_valid: true,
issues_detected: 0,
processing_time: Duration::from_millis(1),
})
}
}
#[derive(Debug, Clone)]
pub struct StreamingValidationResult {
pub timestamp: Instant,
pub quality_score: f64,
pub is_valid: bool,
pub issues_detected: usize,
pub processing_time: Duration,
}
#[derive(Debug, Default)]
pub struct ValidationStats {
pub total_chunks: usize,
pub valid_chunks: usize,
pub invalid_chunks: usize,
pub avg_processing_time: Duration,
pub avg_quality_score: f64,
}
impl ValidationBuffer {
pub fn new(max_size: usize) -> Self {
Self {
results: VecDeque::with_capacity(max_size),
max_size,
}
}
pub fn add_result(&mut self, result: StreamingValidationResult) {
if self.results.len() >= self.max_size {
self.results.pop_front();
}
self.results.push_back(result);
}
pub fn get_recent_results(&self, count: usize) -> Vec<&StreamingValidationResult> {
self.results.iter().rev().take(count).collect()
}
}
impl RealTimeValidator {
pub fn new(config: RealTimeConfig) -> RusTorchResult<Self> {
let buffer = Arc::new(Mutex::new(ValidationBuffer::new(config.buffer_size)));
Ok(Self {
config,
buffer,
is_running: Arc::new(Mutex::new(false)),
stats: ValidationStats::default(),
})
}
pub fn start_monitoring(&mut self) -> RusTorchResult<()> {
let mut running = self
.is_running
.lock()
.map_err(|_| RusTorchError::Validation {
message: "Failed to acquire running lock".to_string(),
})?;
if *running {
return Err(RusTorchError::Validation {
message: "Real-time validator already running".to_string(),
});
}
*running = true;
println!("🔍 Real-time data validation started");
Ok(())
}
pub fn stop_monitoring(&mut self) -> RusTorchResult<()> {
let mut running = self
.is_running
.lock()
.map_err(|_| RusTorchError::Validation {
message: "Failed to acquire running lock".to_string(),
})?;
*running = false;
println!("🔍 Real-time data validation stopped");
Ok(())
}
pub fn validate_realtime<T>(
&mut self,
tensor: &crate::tensor::Tensor<T>,
) -> RusTorchResult<StreamingValidationResult>
where
T: num_traits::Float + std::fmt::Debug + Clone + Send + Sync + 'static,
{
let streaming_validation = StreamingValidation::new(self.config.clone());
let result = streaming_validation.validate_chunk(tensor)?;
self.stats.total_chunks += 1;
if result.is_valid {
self.stats.valid_chunks += 1;
} else {
self.stats.invalid_chunks += 1;
}
let total = self.stats.total_chunks as f64;
self.stats.avg_processing_time = Duration::from_nanos(
(self.stats.avg_processing_time.as_nanos() as f64 * (total - 1.0)
+ result.processing_time.as_nanos() as f64) as u64
/ total as u64,
);
self.stats.avg_quality_score =
(self.stats.avg_quality_score * (total - 1.0) + result.quality_score) / total;
let mut buffer = self.buffer.lock().map_err(|_| RusTorchError::Validation {
message: "Failed to acquire buffer lock".to_string(),
})?;
buffer.add_result(result.clone());
Ok(result)
}
pub fn get_stats(&self) -> &ValidationStats {
&self.stats
}
}