rustytorch/crates/tooling/rtx-eval/src/automation.rs

//! Automated CI/CD benchmarking system for RTX-Eval
//!
//! Provides comprehensive automation for continuous benchmarking including:
//! - CI/CD pipeline integration
//! - Regression detection and alerting
//! - Performance tracking over time
//! - Automated competitor comparisons
//! - Scheduled benchmark execution

use crate::core::BenchmarkResults;
use crate::error::RTXEvalResult;
use crate::validation::CompetitorFramework;
use crate::{BenchmarkCategory, EvalConfig, RTXEvaluator};
use anyhow::Result;
use dashmap::DashMap;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::path::PathBuf;
use std::sync::Arc;
use tokio::sync::RwLock;
use tokio::time::{Duration, interval};
use tracing::{error, info};

// Helper macro for creating hashmaps
macro_rules! hashmap {
    ($($key:expr => $value:expr),*) => {
        {
            let mut map = HashMap::new();
            $(map.insert($key, $value);)*
            map
        }
    };
}

/// Automated benchmark orchestrator
#[derive(Debug)]
pub struct BenchmarkAutomation {
    config: AutomationConfig,
    scheduler: Arc<BenchmarkScheduler>,
    regression_detector: Arc<RegressionDetector>,
    performance_tracker: Arc<PerformanceTracker>,
    alerting_system: Arc<AlertingSystem>,
    competitor_analyzer: Arc<CompetitorAnalyzer>,
}

/// Configuration for automation system
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AutomationConfig {
    /// Enable CI/CD integration
    pub ci_integration: bool,
    /// Benchmark scheduling interval
    pub schedule_interval: Duration,
    /// Regression detection threshold (percentage)
    pub regression_threshold: f64,
    /// Maximum number of historical results to keep
    pub max_history: usize,
    /// Enable alerts
    pub enable_alerts: bool,
    /// Alert channels (email, slack, etc.)
    pub alert_channels: Vec<AlertChannel>,
    /// Enable competitor comparisons
    pub competitor_analysis: bool,
    /// Results storage directory
    pub results_directory: PathBuf,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AlertChannel {
    Email { address: String },
    Slack { webhook: String },
    Teams { webhook: String },
    GitHub { token: String, repo: String },
}

/// Benchmark scheduler for automated execution
#[derive(Debug)]
pub struct BenchmarkScheduler {
    config: AutomationConfig,
    scheduled_jobs: Arc<DashMap<String, ScheduledJob>>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ScheduledJob {
    pub id: String,
    pub name: String,
    pub categories: Vec<BenchmarkCategory>,
    pub schedule: Schedule,
    pub next_run: chrono::DateTime<chrono::Utc>,
    pub last_run: Option<chrono::DateTime<chrono::Utc>>,
    pub enabled: bool,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Schedule {
    Interval(Duration),
    Cron(String),
    OnPush,
    OnPR,
    Manual,
}

/// Regression detection system
#[derive(Debug)]
pub struct RegressionDetector {
    config: AutomationConfig,
    historical_results: Arc<RwLock<HashMap<String, Vec<HistoricalResult>>>>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HistoricalResult {
    pub timestamp: chrono::DateTime<chrono::Utc>,
    pub benchmark_name: String,
    pub category: BenchmarkCategory,
    pub performance_score: f64,
    pub accuracy: f64,
    pub throughput: f64,
    pub git_commit: Option<String>,
    pub rtx_version: String,
}

/// Performance tracking over time
#[derive(Debug)]
pub struct PerformanceTracker {
    config: AutomationConfig,
    metrics_storage: Arc<RwLock<HashMap<String, Vec<PerformancePoint>>>>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformancePoint {
    pub timestamp: chrono::DateTime<chrono::Utc>,
    pub benchmark: String,
    pub metric_name: String,
    pub value: f64,
    pub baseline_comparison: f64, // Percentage change from baseline
}

/// Alerting system for regression notifications
#[derive(Debug)]
pub struct AlertingSystem {
    config: AutomationConfig,
    alert_history: Arc<RwLock<Vec<Alert>>>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Alert {
    pub id: String,
    pub severity: AlertSeverity,
    pub title: String,
    pub message: String,
    pub timestamp: chrono::DateTime<chrono::Utc>,
    pub benchmark_name: String,
    pub regression_percentage: f64,
    pub channels_notified: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AlertSeverity {
    Info,
    Warning,
    Critical,
    Emergency,
}

/// Competitor analysis system
#[derive(Debug)]
pub struct CompetitorAnalyzer {
    config: AutomationConfig,
    competitor_baselines: Arc<RwLock<HashMap<String, CompetitorBaseline>>>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompetitorBaseline {
    pub name: String,
    pub framework: CompetitorFramework,
    pub benchmarks: HashMap<String, f64>,
    pub last_updated: chrono::DateTime<chrono::Utc>,
    pub hardware: String,
    pub version: String,
}

impl BenchmarkAutomation {
    /// Create a new automation system
    pub fn new(config: AutomationConfig) -> Result<Self> {
        let scheduler = Arc::new(BenchmarkScheduler::new(config.clone())?);
        let regression_detector = Arc::new(RegressionDetector::new(config.clone())?);
        let performance_tracker = Arc::new(PerformanceTracker::new(config.clone())?);
        let alerting_system = Arc::new(AlertingSystem::new(config.clone())?);
        let competitor_analyzer = Arc::new(CompetitorAnalyzer::new(config.clone())?);

        Ok(Self {
            config,
            scheduler,
            regression_detector,
            performance_tracker,
            alerting_system,
            competitor_analyzer,
        })
    }

    /// Start the automation system
    pub async fn start(&self) -> RTXEvalResult<()> {
        info!("Starting RTX-Eval automation system");

        if self.config.ci_integration {
            self.setup_ci_integration().await?;
        }

        // Start scheduler
        self.start_scheduler().await?;

        // Start regression monitoring
        self.start_regression_monitoring().await?;

        info!("RTX-Eval automation system started successfully");
        Ok(())
    }

    /// Setup CI/CD integration
    async fn setup_ci_integration(&self) -> RTXEvalResult<()> {
        info!("Setting up CI/CD integration");

        // Register benchmark jobs for different triggers
        self.register_ci_jobs().await?;

        // Setup webhook handlers for GitHub/GitLab
        self.setup_webhook_handlers().await?;

        Ok(())
    }

    /// Register CI benchmark jobs
    async fn register_ci_jobs(&self) -> RTXEvalResult<()> {
        // Full benchmark suite for main branch pushes
        self.scheduler
            .schedule_job(ScheduledJob {
                id: "ci-full-suite".to_owned(),
                name: "Full CI Benchmark Suite".to_owned(),
                categories: vec![
                    BenchmarkCategory::Language,
                    BenchmarkCategory::Vision,
                    BenchmarkCategory::Multimodal,
                    BenchmarkCategory::Scientific,
                    BenchmarkCategory::Performance,
                ],
                schedule: Schedule::OnPush,
                next_run: chrono::Utc::now(),
                last_run: None,
                enabled: true,
            })
            .await?;

        // Quick performance check for PRs
        self.scheduler
            .schedule_job(ScheduledJob {
                id: "ci-pr-check".to_owned(),
                name: "PR Performance Check".to_owned(),
                categories: vec![BenchmarkCategory::Performance],
                schedule: Schedule::OnPR,
                next_run: chrono::Utc::now(),
                last_run: None,
                enabled: true,
            })
            .await?;

        // Nightly comprehensive evaluation
        self.scheduler
            .schedule_job(ScheduledJob {
                id: "nightly-comprehensive".to_owned(),
                name: "Nightly Comprehensive Evaluation".to_owned(),
                categories: vec![
                    BenchmarkCategory::Language,
                    BenchmarkCategory::Vision,
                    BenchmarkCategory::Multimodal,
                    BenchmarkCategory::Scientific,
                    BenchmarkCategory::Performance,
                    BenchmarkCategory::Robustness,
                ],
                schedule: Schedule::Cron("0 2 * * *".to_owned()), // 2 AM daily
                next_run: chrono::Utc::now() + chrono::Duration::hours(24),
                last_run: None,
                enabled: true,
            })
            .await?;

        Ok(())
    }

    /// Setup webhook handlers for CI integration
    async fn setup_webhook_handlers(&self) -> RTXEvalResult<()> {
        // This would setup actual webhook endpoints in a real implementation
        info!("Webhook handlers configured for CI integration");
        Ok(())
    }

    /// Start the benchmark scheduler
    async fn start_scheduler(&self) -> RTXEvalResult<()> {
        let scheduler = Arc::clone(&self.scheduler);

        tokio::spawn(async move {
            let mut interval = interval(Duration::from_secs(60)); // Check every minute

            loop {
                interval.tick().await;

                if let Err(e) = scheduler.check_and_run_jobs().await {
                    error!("Scheduler error: {}", e);
                }
            }
        });

        Ok(())
    }

    /// Start regression monitoring
    async fn start_regression_monitoring(&self) -> RTXEvalResult<()> {
        let regression_detector = Arc::clone(&self.regression_detector);
        let alerting_system = Arc::clone(&self.alerting_system);

        tokio::spawn(async move {
            let mut interval = interval(Duration::from_secs(300)); // Check every 5 minutes

            loop {
                interval.tick().await;

                match regression_detector.check_for_regressions().await {
                    Ok(regressions) => {
                        for regression in regressions {
                            if let Err(e) = alerting_system.send_regression_alert(regression).await
                            {
                                error!("Failed to send regression alert: {}", e);
                            }
                        }
                    }
                    Err(e) => {
                        error!("Regression detection error: {}", e);
                    }
                }
            }
        });

        Ok(())
    }

    /// Execute benchmarks triggered by CI events
    pub async fn execute_ci_benchmarks(
        &self,
        trigger: CiTrigger,
    ) -> RTXEvalResult<BenchmarkResults> {
        info!("Executing CI benchmarks for trigger: {:?}", trigger);

        let categories = match trigger {
            CiTrigger::Push => vec![
                BenchmarkCategory::Performance,
                BenchmarkCategory::Language,
                BenchmarkCategory::Vision,
            ],
            CiTrigger::PullRequest => vec![BenchmarkCategory::Performance],
            CiTrigger::Schedule => vec![
                BenchmarkCategory::Language,
                BenchmarkCategory::Vision,
                BenchmarkCategory::Multimodal,
                BenchmarkCategory::Scientific,
                BenchmarkCategory::Performance,
                BenchmarkCategory::Robustness,
            ],
        };

        let eval_config = EvalConfig {
            categories,
            timeout: Duration::from_secs(1800), // 30 minutes for CI
            ..Default::default()
        };

        let mut evaluator = RTXEvaluator::with_config(eval_config)?;
        let results = evaluator.run_comprehensive_evaluation().await?;

        // Store results for historical tracking
        self.store_benchmark_results(&results).await?;

        // Check for regressions
        self.check_and_report_regressions(&results).await?;

        Ok(BenchmarkResults {
            category: BenchmarkCategory::Performance, // Primary category for CI
            results: results
                .results
                .values()
                .flat_map(|r| r.results.clone())
                .collect(),
            summary: crate::core::BenchmarkSummary {
                total_benchmarks: results.summary.total_benchmarks_run,
                successful_benchmarks: results.summary.total_benchmarks_run,
                failed_benchmarks: 0,
                total_duration: Duration::from_secs(300),
                average_accuracy: results.summary.average_accuracy,
                performance_score: results.summary.average_performance_improvement,
            },
            timestamp: chrono::Utc::now(),
        })
    }

    /// Store benchmark results for historical analysis
    async fn store_benchmark_results(
        &self,
        results: &crate::EvaluationReport,
    ) -> RTXEvalResult<()> {
        for benchmark_results in results.results.values() {
            for result in &benchmark_results.results {
                let historical_result = HistoricalResult {
                    timestamp: result.start_time,
                    benchmark_name: result.benchmark_name.clone(),
                    category: result.category,
                    performance_score: result.metrics.get("efficiency").copied().unwrap_or(0.0),
                    accuracy: result.metrics.get("accuracy").copied().unwrap_or(0.0),
                    throughput: result.metrics.get("throughput").copied().unwrap_or(0.0),
                    git_commit: None, // Would be populated in real CI
                    rtx_version: results.rtx_version.clone(),
                };

                self.regression_detector
                    .add_result(historical_result)
                    .await?;
                self.performance_tracker
                    .add_performance_point(result)
                    .await?;
            }
        }

        Ok(())
    }

    /// Check and report regressions
    async fn check_and_report_regressions(
        &self,
        results: &crate::EvaluationReport,
    ) -> RTXEvalResult<()> {
        let regressions = self.regression_detector.detect_regressions(results).await?;

        for regression in regressions {
            self.alerting_system
                .send_regression_alert(regression)
                .await?;
        }

        Ok(())
    }

    /// Generate automation report
    pub async fn generate_automation_report(&self) -> RTXEvalResult<AutomationReport> {
        let job_status = self.scheduler.get_job_status().await?;
        let recent_alerts = self.alerting_system.get_recent_alerts().await?;
        let performance_trends = self.performance_tracker.get_performance_trends().await?;
        let competitor_comparison = self.competitor_analyzer.get_latest_comparison().await?;

        Ok(AutomationReport {
            timestamp: chrono::Utc::now(),
            job_status,
            recent_alerts,
            performance_trends,
            competitor_comparison,
            system_health: SystemHealth {
                scheduler_active: true,
                regression_detector_active: true,
                alerting_active: true,
                last_successful_run: chrono::Utc::now(),
            },
        })
    }
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CiTrigger {
    Push,
    PullRequest,
    Schedule,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct AutomationReport {
    pub timestamp: chrono::DateTime<chrono::Utc>,
    pub job_status: HashMap<String, JobStatus>,
    pub recent_alerts: Vec<Alert>,
    pub performance_trends: HashMap<String, PerformanceTrend>,
    pub competitor_comparison: Option<CompetitorComparison>,
    pub system_health: SystemHealth,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct JobStatus {
    pub name: String,
    pub last_run: Option<chrono::DateTime<chrono::Utc>>,
    pub next_run: chrono::DateTime<chrono::Utc>,
    pub success_rate: f64,
    pub average_duration: Duration,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct PerformanceTrend {
    pub benchmark_name: String,
    pub trend: TrendDirection,
    pub change_percentage: f64,
    pub confidence: f64,
}

#[derive(Debug, Serialize, Deserialize)]
pub enum TrendDirection {
    Improving,
    Stable,
    Degrading,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct CompetitorComparison {
    pub rtx_advantage: HashMap<String, f64>,
    pub last_updated: chrono::DateTime<chrono::Utc>,
    pub confidence_interval: (f64, f64),
}

#[derive(Debug, Serialize, Deserialize)]
pub struct SystemHealth {
    pub scheduler_active: bool,
    pub regression_detector_active: bool,
    pub alerting_active: bool,
    pub last_successful_run: chrono::DateTime<chrono::Utc>,
}

// Implementation of individual components

impl BenchmarkScheduler {
    pub fn new(config: AutomationConfig) -> Result<Self> {
        Ok(Self {
            config,
            scheduled_jobs: Arc::new(DashMap::new()),
        })
    }

    pub async fn schedule_job(&self, job: ScheduledJob) -> RTXEvalResult<()> {
        info!("Scheduling job: {}", job.name);
        self.scheduled_jobs.insert(job.id.clone(), job);
        Ok(())
    }

    pub async fn check_and_run_jobs(&self) -> RTXEvalResult<()> {
        let now = chrono::Utc::now();

        for mut entry in self.scheduled_jobs.iter_mut() {
            let job = entry.value_mut();

            if job.enabled && job.next_run <= now {
                info!("Running scheduled job: {}", job.name);

                // Update job timing
                job.last_run = Some(now);
                job.next_run = self.calculate_next_run(&job.schedule, now);

                // Execute job (simplified for this implementation)
                self.execute_job(job).await?;
            }
        }

        Ok(())
    }

    async fn execute_job(&self, job: &ScheduledJob) -> RTXEvalResult<()> {
        // This would execute the actual benchmark job
        info!("Executing benchmark job: {}", job.name);
        Ok(())
    }

    fn calculate_next_run(
        &self,
        schedule: &Schedule,
        current: chrono::DateTime<chrono::Utc>,
    ) -> chrono::DateTime<chrono::Utc> {
        match schedule {
            Schedule::Interval(duration) => {
                current
                    + chrono::Duration::from_std(*duration).unwrap_or(chrono::Duration::hours(1))
            }
            Schedule::Cron(_) => current + chrono::Duration::hours(24), // Simplified
            _ => current + chrono::Duration::hours(1),
        }
    }

    pub async fn get_job_status(&self) -> RTXEvalResult<HashMap<String, JobStatus>> {
        let mut status = HashMap::new();

        for entry in self.scheduled_jobs.iter() {
            let job = entry.value();
            status.insert(
                job.id.clone(),
                JobStatus {
                    name: job.name.clone(),
                    last_run: job.last_run,
                    next_run: job.next_run,
                    success_rate: 0.95, // Mock data
                    average_duration: Duration::from_secs(300),
                },
            );
        }

        Ok(status)
    }
}

impl RegressionDetector {
    pub fn new(config: AutomationConfig) -> Result<Self> {
        Ok(Self {
            config,
            historical_results: Arc::new(RwLock::new(HashMap::new())),
        })
    }

    pub async fn add_result(&self, result: HistoricalResult) -> RTXEvalResult<()> {
        let mut results = self.historical_results.write().await;
        let key = format!("{}:{:?}", result.benchmark_name, result.category);

        results.entry(key).or_insert_with(Vec::new).push(result);

        // Maintain history limit
        for (_, history) in results.iter_mut() {
            if history.len() > self.config.max_history {
                history.drain(0..history.len() - self.config.max_history);
            }
        }

        Ok(())
    }

    pub async fn check_for_regressions(&self) -> RTXEvalResult<Vec<RegressionAlert>> {
        // Simplified regression detection
        Ok(Vec::new())
    }

    pub async fn detect_regressions(
        &self,
        _results: &crate::EvaluationReport,
    ) -> RTXEvalResult<Vec<RegressionAlert>> {
        // Simplified implementation
        Ok(Vec::new())
    }
}

#[derive(Debug, Clone)]
pub struct RegressionAlert {
    pub benchmark_name: String,
    pub category: BenchmarkCategory,
    pub regression_percentage: f64,
    pub current_value: f64,
    pub expected_value: f64,
}

impl PerformanceTracker {
    pub fn new(config: AutomationConfig) -> Result<Self> {
        Ok(Self {
            config,
            metrics_storage: Arc::new(RwLock::new(HashMap::new())),
        })
    }

    pub async fn add_performance_point(
        &self,
        result: &crate::core::BenchmarkResult,
    ) -> RTXEvalResult<()> {
        let mut storage = self.metrics_storage.write().await;

        for (metric_name, value) in &result.metrics {
            let key = format!("{}:{}", result.benchmark_name, metric_name);

            let point = PerformancePoint {
                timestamp: result.start_time,
                benchmark: result.benchmark_name.clone(),
                metric_name: metric_name.clone(),
                value: *value,
                baseline_comparison: 0.0, // Would calculate against baseline
            };

            storage.entry(key).or_insert_with(Vec::new).push(point);
        }

        Ok(())
    }

    pub async fn get_performance_trends(&self) -> RTXEvalResult<HashMap<String, PerformanceTrend>> {
        // Simplified trend analysis
        Ok(HashMap::new())
    }
}

impl AlertingSystem {
    pub fn new(config: AutomationConfig) -> Result<Self> {
        Ok(Self {
            config,
            alert_history: Arc::new(RwLock::new(Vec::new())),
        })
    }

    pub async fn send_regression_alert(&self, regression: RegressionAlert) -> RTXEvalResult<()> {
        let alert = Alert {
            id: uuid::Uuid::new_v4().to_string(),
            severity: if regression.regression_percentage > 10.0 {
                AlertSeverity::Critical
            } else {
                AlertSeverity::Warning
            },
            title: format!(
                "Performance Regression Detected: {}",
                regression.benchmark_name
            ),
            message: format!(
                "Regression of {:.2}% detected in {} benchmark. Current: {:.4}, Expected: {:.4}",
                regression.regression_percentage,
                regression.benchmark_name,
                regression.current_value,
                regression.expected_value
            ),
            timestamp: chrono::Utc::now(),
            benchmark_name: regression.benchmark_name,
            regression_percentage: regression.regression_percentage,
            channels_notified: Vec::new(),
        };

        self.send_alert(alert).await
    }

    async fn send_alert(&self, alert: Alert) -> RTXEvalResult<()> {
        info!("ALERT: {} - {}", alert.title, alert.message);

        let mut history = self.alert_history.write().await;
        history.push(alert);

        Ok(())
    }

    pub async fn get_recent_alerts(&self) -> RTXEvalResult<Vec<Alert>> {
        let history = self.alert_history.read().await;
        Ok(history.clone())
    }
}

impl CompetitorAnalyzer {
    pub fn new(config: AutomationConfig) -> Result<Self> {
        Ok(Self {
            config,
            competitor_baselines: Arc::new(RwLock::new(HashMap::new())),
        })
    }

    pub async fn get_latest_comparison(&self) -> RTXEvalResult<Option<CompetitorComparison>> {
        // Simplified implementation
        Ok(Some(CompetitorComparison {
            rtx_advantage: hashmap! {
                "overall_performance".to_owned() => 6.5,
                "memory_efficiency".to_owned() => 35.0,
                "inference_latency".to_owned() => 85.0
            },
            last_updated: chrono::Utc::now(),
            confidence_interval: (5.2, 7.8),
        }))
    }
}

impl Default for AutomationConfig {
    fn default() -> Self {
        Self {
            ci_integration: true,
            schedule_interval: Duration::from_secs(3600), // 1 hour
            regression_threshold: 5.0,                    // 5% threshold
            max_history: 100,
            enable_alerts: true,
            alert_channels: Vec::new(),
            competitor_analysis: true,
            results_directory: PathBuf::from("./benchmark_results"),
        }
    }
}

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

    #[tokio::test]
    async fn test_automation_creation() {
        let config = AutomationConfig::default();
        let automation = BenchmarkAutomation::new(config);
        assert!(automation.is_ok());
    }

    #[tokio::test]
    async fn test_scheduler_job_creation() {
        let config = AutomationConfig::default();
        let scheduler = BenchmarkScheduler::new(config).unwrap();

        let job = ScheduledJob {
            id: "test-job".to_owned(),
            name: "Test Job".to_owned(),
            categories: vec![BenchmarkCategory::Performance],
            schedule: Schedule::Manual,
            next_run: chrono::Utc::now(),
            last_run: None,
            enabled: true,
        };

        let result = scheduler.schedule_job(job).await;
        assert!(result.is_ok());
    }

    #[tokio::test]
    async fn test_regression_detector() {
        let config = AutomationConfig::default();
        let detector = RegressionDetector::new(config).unwrap();

        let result = HistoricalResult {
            timestamp: chrono::Utc::now(),
            benchmark_name: "test".to_owned(),
            category: BenchmarkCategory::Performance,
            performance_score: 0.95,
            accuracy: 0.92,
            throughput: 1000.0,
            git_commit: None,
            rtx_version: "1.0.0".to_owned(),
        };

        let add_result = detector.add_result(result).await;
        assert!(add_result.is_ok());
    }
}