entrenar 0.7.9

//! WASM-compatible metrics collector.

#[cfg(target_arch = "wasm32")]
use wasm_bindgen::prelude::*;

use crate::monitor::{Metric, MetricStats, MetricsCollector};
use std::collections::HashMap;

/// WASM-compatible metrics collector.
///
/// Wraps MetricsCollector with JavaScript-friendly API.
#[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
#[derive(Debug)]
pub struct WasmMetricsCollector {
    inner: MetricsCollector,
}

#[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
impl WasmMetricsCollector {
    /// Create a new metrics collector.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen(constructor))]
    pub fn new() -> Self {
        Self { inner: MetricsCollector::new() }
    }

    /// Record a loss value.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn record_loss(&mut self, value: f64) {
        self.inner.record(Metric::Loss, value);
    }

    /// Record an accuracy value.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn record_accuracy(&mut self, value: f64) {
        self.inner.record(Metric::Accuracy, value);
    }

    /// Record a learning rate value.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn record_learning_rate(&mut self, value: f64) {
        self.inner.record(Metric::LearningRate, value);
    }

    /// Record a gradient norm value.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn record_gradient_norm(&mut self, value: f64) {
        self.inner.record(Metric::GradientNorm, value);
    }

    /// Record a custom metric.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn record_custom(&mut self, name: &str, value: f64) {
        self.inner.record(Metric::Custom(name.to_string()), value);
    }

    /// Get number of recorded metrics.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn count(&self) -> usize {
        self.inner.count()
    }

    /// Check if collector is empty.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn is_empty(&self) -> bool {
        self.inner.is_empty()
    }

    /// Clear all recorded metrics.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn clear(&mut self) {
        self.inner.clear();
    }

    /// Get summary as JSON string.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn summary_json(&self) -> String {
        let summary = self.inner.summary();
        let json_map: HashMap<String, WasmMetricStats> = summary
            .into_iter()
            .map(|(k, v)| (k.as_str().to_string(), WasmMetricStats::from(v)))
            .collect();
        serde_json::to_string(&json_map).unwrap_or_else(|_err| "{}".to_string())
    }

    /// Get loss statistics.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn loss_mean(&self) -> f64 {
        self.inner.summary().get(&Metric::Loss).map_or(f64::NAN, |s| s.mean)
    }

    /// Get accuracy statistics.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn accuracy_mean(&self) -> f64 {
        self.inner.summary().get(&Metric::Accuracy).map_or(f64::NAN, |s| s.mean)
    }

    /// Get loss values as a Vec for JavaScript Float64Array conversion.
    pub fn loss_values(&self) -> Vec<f64> {
        self.inner
            .to_records()
            .iter()
            .filter(|r| r.metric == Metric::Loss)
            .map(|r| r.value)
            .collect()
    }

    /// Get accuracy values as a Vec for JavaScript Float64Array conversion.
    pub fn accuracy_values(&self) -> Vec<f64> {
        self.inner
            .to_records()
            .iter()
            .filter(|r| r.metric == Metric::Accuracy)
            .map(|r| r.value)
            .collect()
    }

    /// Get all timestamps as milliseconds since epoch.
    pub fn timestamps(&self) -> Vec<u64> {
        self.inner.to_records().iter().map(|r| r.timestamp).collect()
    }

    /// Get loss standard deviation.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn loss_std(&self) -> f64 {
        self.inner.summary().get(&Metric::Loss).map_or(f64::NAN, |s| s.std)
    }

    /// Get accuracy standard deviation.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn accuracy_std(&self) -> f64 {
        self.inner.summary().get(&Metric::Accuracy).map_or(f64::NAN, |s| s.std)
    }

    /// Check if NaN was detected in loss.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn loss_has_nan(&self) -> bool {
        self.inner.summary().get(&Metric::Loss).is_some_and(|s| s.has_nan)
    }

    /// Check if Inf was detected in loss.
    #[cfg_attr(target_arch = "wasm32", wasm_bindgen)]
    pub fn loss_has_inf(&self) -> bool {
        self.inner.summary().get(&Metric::Loss).is_some_and(|s| s.has_inf)
    }
}

impl Default for WasmMetricsCollector {
    fn default() -> Self {
        Self::new()
    }
}

/// WASM-compatible metric statistics (JSON-serializable).
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub(crate) struct WasmMetricStats {
    count: usize,
    mean: f64,
    std: f64,
    min: f64,
    max: f64,
    has_nan: bool,
    has_inf: bool,
}

impl From<MetricStats> for WasmMetricStats {
    fn from(s: MetricStats) -> Self {
        Self {
            count: s.count,
            mean: s.mean,
            std: s.std,
            min: s.min,
            max: s.max,
            has_nan: s.has_nan,
            has_inf: s.has_inf,
        }
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_wasm_collector_new() {
        let collector = WasmMetricsCollector::new();
        assert!(collector.is_empty());
        assert_eq!(collector.count(), 0);
    }

    #[test]
    fn test_wasm_collector_record_loss() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        collector.record_loss(0.3);
        assert_eq!(collector.count(), 2);
        assert!((collector.loss_mean() - 0.4).abs() < 1e-6);
    }

    #[test]
    fn test_wasm_collector_record_accuracy() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_accuracy(0.8);
        collector.record_accuracy(0.9);
        assert_eq!(collector.count(), 2);
        assert!((collector.accuracy_mean() - 0.85).abs() < 1e-6);
    }

    #[test]
    fn test_wasm_collector_record_custom() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_custom("perplexity", 15.5);
        assert_eq!(collector.count(), 1);
    }

    #[test]
    fn test_wasm_collector_clear() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        collector.record_accuracy(0.8);
        assert_eq!(collector.count(), 2);
        collector.clear();
        assert!(collector.is_empty());
    }

    #[test]
    fn test_wasm_collector_summary_json() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        collector.record_loss(0.3);

        let json = collector.summary_json();
        assert!(json.contains("loss"));
        assert!(json.contains("mean"));

        // Parse and validate
        let parsed: serde_json::Value =
            serde_json::from_str(&json).expect("JSON deserialization should succeed");
        assert!(parsed.get("loss").is_some());
    }

    #[test]
    fn test_wasm_collector_missing_metric() {
        let collector = WasmMetricsCollector::new();
        assert!(collector.loss_mean().is_nan());
        assert!(collector.accuracy_mean().is_nan());
    }

    #[test]
    fn test_wasm_metric_stats_from() {
        let stats = MetricStats {
            count: 10,
            mean: 0.5,
            std: 0.1,
            min: 0.2,
            max: 0.8,
            sum: 5.0,
            has_nan: false,
            has_inf: false,
        };

        let wasm_stats = WasmMetricStats::from(stats);
        assert_eq!(wasm_stats.count, 10);
        assert!((wasm_stats.mean - 0.5).abs() < 1e-6);
        assert!((wasm_stats.std - 0.1).abs() < 1e-6);
    }

    #[test]
    fn test_wasm_collector_all_metric_types() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        collector.record_accuracy(0.8);
        collector.record_learning_rate(0.001);
        collector.record_gradient_norm(1.5);
        collector.record_custom("perplexity", 15.5);

        assert_eq!(collector.count(), 5);

        let json = collector.summary_json();
        assert!(json.contains("loss"));
        assert!(json.contains("accuracy"));
        assert!(json.contains("learning_rate"));
        assert!(json.contains("gradient_norm"));
        assert!(json.contains("perplexity"));
    }

    #[test]
    fn test_wasm_collector_default() {
        let collector = WasmMetricsCollector::default();
        assert!(collector.is_empty());
    }

    #[test]
    fn test_wasm_collector_loss_values() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        collector.record_loss(0.3);
        collector.record_accuracy(0.8); // Should not be in loss values

        let values = collector.loss_values();
        assert_eq!(values.len(), 2);
        assert!((values[0] - 0.5).abs() < 1e-6);
        assert!((values[1] - 0.3).abs() < 1e-6);
    }

    #[test]
    fn test_wasm_collector_accuracy_values() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_accuracy(0.8);
        collector.record_accuracy(0.9);
        collector.record_loss(0.5); // Should not be in accuracy values

        let values = collector.accuracy_values();
        assert_eq!(values.len(), 2);
        assert!((values[0] - 0.8).abs() < 1e-6);
        assert!((values[1] - 0.9).abs() < 1e-6);
    }

    #[test]
    fn test_wasm_collector_timestamps() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        collector.record_loss(0.3);

        let timestamps = collector.timestamps();
        assert_eq!(timestamps.len(), 2);
        assert!(timestamps[0] > 0);
        assert!(timestamps[1] >= timestamps[0]);
    }

    #[test]
    fn test_wasm_collector_loss_std() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.2);
        collector.record_loss(0.4);
        collector.record_loss(0.6);
        collector.record_loss(0.8);

        let std = collector.loss_std();
        assert!(std > 0.0);
        assert!(std < 1.0);
    }

    #[test]
    fn test_wasm_collector_nan_detection() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        assert!(!collector.loss_has_nan());

        collector.record_loss(f64::NAN);
        assert!(collector.loss_has_nan());
    }

    #[test]
    fn test_wasm_collector_inf_detection() {
        let mut collector = WasmMetricsCollector::new();
        collector.record_loss(0.5);
        assert!(!collector.loss_has_inf());

        collector.record_loss(f64::INFINITY);
        assert!(collector.loss_has_inf());
    }

    #[test]
    fn test_wasm_collector_empty_std() {
        let collector = WasmMetricsCollector::new();
        assert!(collector.loss_std().is_nan());
        assert!(collector.accuracy_std().is_nan());
    }
}

#[cfg(test)]
mod proptests {
    use super::*;
    use proptest::prelude::*;

    proptest! {
        /// Property: Recording values always increases count
        #[test]
        fn prop_record_increases_count(values in prop::collection::vec(-1e10f64..1e10, 1..100)) {
            let mut collector = WasmMetricsCollector::new();
            for v in &values {
                collector.record_loss(*v);
            }
            // Count should equal valid (non-NaN, non-Inf) values
            let valid_count = values.iter().filter(|v| !v.is_nan() && !v.is_infinite()).count();
            prop_assert_eq!(collector.count(), valid_count);
        }

        /// Property: Mean is always within bounds of recorded values
        #[test]
        fn prop_mean_within_bounds(values in prop::collection::vec(0.0f64..100.0, 2..50)) {
            let mut collector = WasmMetricsCollector::new();
            for v in &values {
                collector.record_loss(*v);
            }

            let mean = collector.loss_mean();
            let min = values.iter().copied().fold(f64::INFINITY, f64::min);
            let max = values.iter().copied().fold(f64::NEG_INFINITY, f64::max);

            prop_assert!(mean >= min - 1e-6);
            prop_assert!(mean <= max + 1e-6);
        }

        /// Property: Standard deviation is non-negative
        #[test]
        fn prop_std_non_negative(values in prop::collection::vec(0.0f64..100.0, 2..50)) {
            let mut collector = WasmMetricsCollector::new();
            for v in &values {
                collector.record_loss(*v);
            }

            let std = collector.loss_std();
            prop_assert!(std >= 0.0 || std.is_nan());
        }
    }
}