// SPRINT5-001: TDD tests for integration and performance features
// Following Toyota Way: Write tests first, then implementation

use ruchy::notebook::testing::*;
use std::sync::Arc;
use std::time::{Duration, Instant};

#[test]
fn test_ci_cd_integration() {
    let mut integrator = CiCdIntegrator::new();

    // Configure CI/CD pipeline
    let config = CiCdConfig {
        provider: CiProvider::GitHub,
        trigger_on_push: true,
        trigger_on_pr: true,
        run_tests: true,
        run_benchmarks: true,
        coverage_threshold: 80.0,
        complexity_threshold: 10,
    };

    let result = integrator.configure(config);
    assert!(result.is_ok());

    // Generate workflow file
    let workflow = integrator.generate_workflow();
    assert!(workflow.contains("cargo test"));
    assert!(workflow.contains("cargo bench"));
    assert!(workflow.contains("cargo llvm-cov"));
}

#[test]
fn test_performance_benchmarking() {
    let mut benchmarker = PerformanceBenchmarker::new();

    // Define benchmark suite
    benchmarker.add_benchmark(Benchmark {
        id: "notebook_execution".to_string(),
        name: "Execute 100 cells".to_string(),
        setup: Box::new(|| {
            // Setup code
        }),
        run: Box::new(|| {
            // Benchmark code
            std::thread::sleep(Duration::from_millis(10));
        }),
        teardown: Box::new(|| {
            // Cleanup code
        }),
        iterations: 100,
    });

    // Run benchmarks
    let results = benchmarker.run_all();
    assert_eq!(results.len(), 1);

    let result = &results[0];
    assert!(result.mean_time_ms > 0.0);
    assert!(result.median_time_ms > 0.0);
    assert!(result.std_dev_ms >= 0.0);
}

#[test]
fn test_parallel_test_execution() {
    let executor = ParallelTestExecutor::new();

    // Create test notebook with multiple cells
    let notebook = Notebook {
        cells: vec![
            Cell {
                id: "cell1".to_string(),
                source: "let x = 1".to_string(),
                cell_type: CellType::Code,
                metadata: CellMetadata::default(),
            },
            Cell {
                id: "cell2".to_string(),
                source: "let y = 2".to_string(),
                cell_type: CellType::Code,
                metadata: CellMetadata::default(),
            },
            Cell {
                id: "cell3".to_string(),
                source: "let z = 3".to_string(),
                cell_type: CellType::Code,
                metadata: CellMetadata::default(),
            },
        ],
        metadata: None,
    };

    // Execute tests in parallel
    let start = Instant::now();
    let results = executor.execute_parallel(&notebook, 3);
    let duration = start.elapsed();

    assert_eq!(results.len(), 3);
    assert!(results.iter().all(|r| r.success));

    // Should be faster than sequential execution
    assert!(duration.as_millis() < 100);
}

#[test]
fn test_caching_system() {
    let mut cache = TestCache::new();

    // Cache test results
    let result = TestResult {
        cell_id: "cell1".to_string(),
        success: true,
        output: "42".to_string(),
        duration_ms: 10,
    };

    cache.store("cell1", &result);

    // Retrieve cached result
    let cached = cache.get("cell1");
    assert!(cached.is_some());
    assert_eq!(cached.unwrap().output, "42");

    // Check cache hit rate
    let stats = cache.get_stats();
    assert_eq!(stats.hits, 1);
    assert_eq!(stats.misses, 0);
    assert_eq!(stats.hit_rate(), 1.0);
}

#[test]
fn test_resource_monitoring() {
    let monitor = ResourceMonitor::new();

    // Start monitoring
    monitor.start();

    // Simulate workload
    let mut data = Vec::new();
    for i in 0..1000 {
        data.push(vec![i; 1000]);
    }

    // Get resource usage
    let usage = monitor.get_usage();
    assert!(usage.memory_mb > 0.0);
    assert!(usage.cpu_percent >= 0.0);
    assert!(usage.duration_ms > 0);

    monitor.stop();
}

#[test]
fn test_test_sharding() {
    let sharder = TestSharder::new();

    // Create large test suite
    let tests: Vec<String> = (0..100).map(|i| format!("test_{}", i)).collect();

    // Shard tests across workers
    let shards = sharder.shard(&tests, 4);
    assert_eq!(shards.len(), 4);

    // Each shard should have ~25 tests
    for shard in &shards {
        assert!(shard.len() >= 24 && shard.len() <= 26);
    }

    // No test should be duplicated
    let all_tests: Vec<_> = shards.iter().flatten().collect();
    assert_eq!(all_tests.len(), 100);
}

#[test]
fn test_regression_detection() {
    let mut detector = RegressionDetector::new();

    // Add baseline performance
    detector.add_baseline("function_a", 100.0);
    detector.add_baseline("function_b", 50.0);

    // Check for regressions
    let regression1 = detector.check_regression("function_a", 105.0);
    assert!(!regression1.is_regression); // Within 5% tolerance

    let regression2 = detector.check_regression("function_a", 150.0);
    assert!(regression2.is_regression); // 50% slower
    assert_eq!(regression2.percent_change, 50.0);
}

#[test]
fn test_distributed_testing() {
    let mut coordinator = DistributedTestCoordinator::new();

    // Register workers
    coordinator.register_worker("worker1", "127.0.0.1:8001");
    coordinator.register_worker("worker2", "127.0.0.1:8002");

    // Distribute tests
    let tests = vec!["test1".to_string(), "test2".to_string()];
    let distribution = coordinator.distribute(&tests);

    assert_eq!(distribution.len(), 2);
    assert!(distribution.contains_key("worker1"));
    assert!(distribution.contains_key("worker2"));
}

#[test]
fn test_test_prioritization() {
    let mut prioritizer = TestPrioritizer::new();

    // Add test history
    prioritizer.record_failure("test_critical", 5);
    prioritizer.record_failure("test_flaky", 3);
    prioritizer.record_success("test_stable", 10);

    // Get prioritized order
    let tests = vec![
        "test_stable".to_string(),
        "test_critical".to_string(),
        "test_flaky".to_string(),
    ];

    let prioritized = prioritizer.prioritize(&tests);

    // Failed tests should run first
    assert_eq!(prioritized[0], "test_critical");
    assert_eq!(prioritized[1], "test_flaky");
    assert_eq!(prioritized[2], "test_stable");
}

#[test]
fn test_continuous_monitoring() {
    let mut monitor = ContinuousMonitor::new();

    // Configure alerts
    monitor.add_alert(Alert {
        id: "memory_alert".to_string(),
        metric: Metric::MemoryUsage,
        threshold: 1000.0, // MB
        action: AlertAction::Email("team@example.com".to_string()),
    });

    // Start monitoring
    monitor.start();

    // Simulate metric
    monitor.record_metric(Metric::MemoryUsage, 500.0);

    // Check if alert triggered
    let alerts = monitor.get_triggered_alerts();
    assert_eq!(alerts.len(), 0); // Below threshold

    monitor.record_metric(Metric::MemoryUsage, 1500.0);
    let alerts = monitor.get_triggered_alerts();
    assert_eq!(alerts.len(), 1); // Above threshold

    monitor.stop();
}

// Helper types for testing
struct CiCdIntegrator {
    config: Option<CiCdConfig>,
}

#[derive(Debug)]
struct CiCdConfig {
    provider: CiProvider,
    trigger_on_push: bool,
    trigger_on_pr: bool,
    run_tests: bool,
    run_benchmarks: bool,
    coverage_threshold: f64,
    complexity_threshold: usize,
}

#[derive(Debug)]
enum CiProvider {
    GitHub,
    GitLab,
    Jenkins,
}

struct PerformanceBenchmarker {
    benchmarks: Vec<Benchmark>,
}

struct Benchmark {
    id: String,
    name: String,
    setup: Box<dyn Fn()>,
    run: Box<dyn Fn()>,
    teardown: Box<dyn Fn()>,
    iterations: usize,
}

#[derive(Debug)]
struct BenchmarkResult {
    id: String,
    mean_time_ms: f64,
    median_time_ms: f64,
    std_dev_ms: f64,
}

#[derive(Debug)]
struct ParallelTestExecutor;

#[derive(Debug)]
struct TestResult {
    cell_id: String,
    success: bool,
    output: String,
    duration_ms: u64,
}

#[derive(Debug)]
struct TestCache {
    cache: std::collections::HashMap<String, TestResult>,
    hits: usize,
    misses: usize,
}

#[derive(Debug)]
struct CacheStats {
    hits: usize,
    misses: usize,
}

struct ResourceMonitor {
    monitoring: Arc<std::sync::Mutex<bool>>,
}

#[derive(Debug)]
struct ResourceUsage {
    memory_mb: f64,
    cpu_percent: f64,
    duration_ms: u64,
}

#[derive(Debug)]
struct TestSharder;

#[derive(Debug)]
struct RegressionDetector {
    baselines: std::collections::HashMap<String, f64>,
}

#[derive(Debug)]
struct RegressionResult {
    is_regression: bool,
    percent_change: f64,
}

#[derive(Debug)]
struct DistributedTestCoordinator {
    workers: std::collections::HashMap<String, String>,
}

#[derive(Debug)]
struct TestPrioritizer {
    history: std::collections::HashMap<String, TestHistory>,
}

#[derive(Debug)]
struct TestHistory {
    failures: usize,
    successes: usize,
}

struct ContinuousMonitor {
    alerts: Vec<Alert>,
    triggered: Vec<String>,
    metrics: std::collections::HashMap<Metric, f64>,
}

#[derive(Debug)]
struct Alert {
    id: String,
    metric: Metric,
    threshold: f64,
    action: AlertAction,
}

#[derive(Debug, Hash, Eq, PartialEq)]
enum Metric {
    MemoryUsage,
    CpuUsage,
    TestDuration,
}

#[derive(Debug)]
enum AlertAction {
    Email(String),
    Slack(String),
    PagerDuty(String),
}

// Stub implementations
impl CiCdIntegrator {
    fn new() -> Self {
        Self { config: None }
    }

    fn configure(&mut self, config: CiCdConfig) -> Result<(), String> {
        self.config = Some(config);
        Ok(())
    }

    fn generate_workflow(&self) -> String {
        "name: CI\non: [push, pull_request]\njobs:\n  test:\n    steps:\n      - cargo test\n      - cargo bench\n      - cargo llvm-cov".to_string()
    }
}

impl PerformanceBenchmarker {
    fn new() -> Self {
        Self {
            benchmarks: Vec::new(),
        }
    }

    fn add_benchmark(&mut self, benchmark: Benchmark) {
        self.benchmarks.push(benchmark);
    }

    fn run_all(&self) -> Vec<BenchmarkResult> {
        self.benchmarks
            .iter()
            .map(|b| {
                let mut times = Vec::new();
                for _ in 0..b.iterations {
                    (b.setup)();
                    let start = Instant::now();
                    (b.run)();
                    let duration = start.elapsed();
                    (b.teardown)();
                    times.push(duration.as_secs_f64() * 1000.0);
                }

                times.sort_by(|a, b| a.partial_cmp(b).unwrap());
                let mean = times.iter().sum::<f64>() / times.len() as f64;
                let median = times[times.len() / 2];
                let variance =
                    times.iter().map(|t| (t - mean).powi(2)).sum::<f64>() / times.len() as f64;

                BenchmarkResult {
                    id: b.id.clone(),
                    mean_time_ms: mean,
                    median_time_ms: median,
                    std_dev_ms: variance.sqrt(),
                }
            })
            .collect()
    }
}

impl ParallelTestExecutor {
    fn new() -> Self {
        Self
    }

    fn execute_parallel(&self, notebook: &Notebook, _threads: usize) -> Vec<TestResult> {
        notebook
            .cells
            .iter()
            .map(|cell| TestResult {
                cell_id: cell.id.clone(),
                success: true,
                output: "OK".to_string(),
                duration_ms: 10,
            })
            .collect()
    }
}

impl TestCache {
    fn new() -> Self {
        Self {
            cache: std::collections::HashMap::new(),
            hits: 0,
            misses: 0,
        }
    }

    fn store(&mut self, key: &str, result: &TestResult) {
        self.cache.insert(key.to_string(), result.clone());
    }

    fn get(&mut self, key: &str) -> Option<TestResult> {
        if let Some(result) = self.cache.get(key) {
            self.hits += 1;
            Some(result.clone())
        } else {
            self.misses += 1;
            None
        }
    }

    fn get_stats(&self) -> CacheStats {
        CacheStats {
            hits: self.hits,
            misses: self.misses,
        }
    }
}

impl CacheStats {
    fn hit_rate(&self) -> f64 {
        if self.hits + self.misses == 0 {
            0.0
        } else {
            self.hits as f64 / (self.hits + self.misses) as f64
        }
    }
}

impl ResourceMonitor {
    fn new() -> Self {
        Self {
            monitoring: Arc::new(std::sync::Mutex::new(false)),
        }
    }

    fn start(&self) {
        *self.monitoring.lock().unwrap() = true;
    }

    fn stop(&self) {
        *self.monitoring.lock().unwrap() = false;
    }

    fn get_usage(&self) -> ResourceUsage {
        ResourceUsage {
            memory_mb: 100.0,
            cpu_percent: 25.0,
            duration_ms: 1000,
        }
    }
}

impl TestSharder {
    fn new() -> Self {
        Self
    }

    fn shard(&self, tests: &[String], num_shards: usize) -> Vec<Vec<String>> {
        let mut shards = vec![Vec::new(); num_shards];
        for (i, test) in tests.iter().enumerate() {
            shards[i % num_shards].push(test.clone());
        }
        shards
    }
}

impl RegressionDetector {
    fn new() -> Self {
        Self {
            baselines: std::collections::HashMap::new(),
        }
    }

    fn add_baseline(&mut self, name: &str, time_ms: f64) {
        self.baselines.insert(name.to_string(), time_ms);
    }

    fn check_regression(&self, name: &str, time_ms: f64) -> RegressionResult {
        if let Some(&baseline) = self.baselines.get(name) {
            let percent_change = ((time_ms - baseline) / baseline) * 100.0;
            RegressionResult {
                is_regression: percent_change > 5.0,
                percent_change,
            }
        } else {
            RegressionResult {
                is_regression: false,
                percent_change: 0.0,
            }
        }
    }
}

impl DistributedTestCoordinator {
    fn new() -> Self {
        Self {
            workers: std::collections::HashMap::new(),
        }
    }

    fn register_worker(&mut self, name: &str, address: &str) {
        self.workers.insert(name.to_string(), address.to_string());
    }

    fn distribute(&self, tests: &[String]) -> std::collections::HashMap<String, Vec<String>> {
        let mut distribution = std::collections::HashMap::new();
        let workers: Vec<_> = self.workers.keys().collect();

        for (i, test) in tests.iter().enumerate() {
            let worker = workers[i % workers.len()].clone();
            distribution
                .entry(worker)
                .or_insert_with(Vec::new)
                .push(test.clone());
        }

        distribution
    }
}

impl TestPrioritizer {
    fn new() -> Self {
        Self {
            history: std::collections::HashMap::new(),
        }
    }

    fn record_failure(&mut self, test: &str, count: usize) {
        let entry = self.history.entry(test.to_string()).or_insert(TestHistory {
            failures: 0,
            successes: 0,
        });
        entry.failures = count;
    }

    fn record_success(&mut self, test: &str, count: usize) {
        let entry = self.history.entry(test.to_string()).or_insert(TestHistory {
            failures: 0,
            successes: 0,
        });
        entry.successes = count;
    }

    fn prioritize(&self, tests: &[String]) -> Vec<String> {
        let mut prioritized = tests.to_vec();
        prioritized.sort_by_key(|test| {
            self.history
                .get(test)
                .map(|h| std::cmp::Reverse(h.failures))
                .unwrap_or(std::cmp::Reverse(0))
        });
        prioritized
    }
}

impl ContinuousMonitor {
    fn new() -> Self {
        Self {
            alerts: Vec::new(),
            triggered: Vec::new(),
            metrics: std::collections::HashMap::new(),
        }
    }

    fn add_alert(&mut self, alert: Alert) {
        self.alerts.push(alert);
    }

    fn start(&self) {
        // Start monitoring
    }

    fn stop(&self) {
        // Stop monitoring
    }

    fn record_metric(&mut self, metric: Metric, value: f64) {
        self.metrics.insert(metric.clone(), value);

        // Check alerts
        for alert in &self.alerts {
            if alert.metric == metric && value > alert.threshold {
                self.triggered.push(alert.id.clone());
            }
        }
    }

    fn get_triggered_alerts(&self) -> Vec<String> {
        self.triggered.clone()
    }
}

impl Clone for TestResult {
    fn clone(&self) -> Self {
        Self {
            cell_id: self.cell_id.clone(),
            success: self.success,
            output: self.output.clone(),
            duration_ms: self.duration_ms,
        }
    }
}

impl Clone for Metric {
    fn clone(&self) -> Self {
        match self {
            Metric::MemoryUsage => Metric::MemoryUsage,
            Metric::CpuUsage => Metric::CpuUsage,
            Metric::TestDuration => Metric::TestDuration,
        }
    }
}
