//! PARITY-092: Visual Regression Tests for TUI
//!
//! These tests verify the TUI rendering produces consistent output.
//! Similar to trueno's probar-based visual testing but for terminal UI.
//!
//! # Running
//! ```bash
//! cargo test --test visual_regression -- --nocapture
//! ```
//!
//! # Golden Baseline Approach
//!
//! 1. Generate TUI output with known metrics
//! 2. Compare against golden baseline
//! 3. Fail if structure or key values differ
//!
//! # Toyota Way Alignment
//! - **Genchi Genbutsu**: Verify actual rendered output, not mocks
//! - **Jidoka**: Stop when visual regression detected
//! - **Poka-Yoke**: Catch UI bugs before deployment

use realizar::tui::{InferenceMetrics, InferenceTui, TuiConfig};

// ============================================================================
// GOLDEN BASELINE DEFINITIONS
// ============================================================================

/// Golden baseline metrics for consistent testing
fn golden_metrics() -> InferenceMetrics {
    InferenceMetrics {
        throughput_tok_per_sec: 64.2,
        latency_ms: 15.6,
        latency_p95_ms: 23.4,
        gpu_memory_bytes: 4_200_000_000,
        gpu_memory_total_bytes: 24_000_000_000,
        batch_size: 4,
        queue_size: 12,
        total_tokens: 1234,
        total_requests: 42,
        running: true,
        using_gpu: true,
    }
}

/// M4 parity metrics for success state testing
fn m4_parity_metrics() -> InferenceMetrics {
    InferenceMetrics {
        throughput_tok_per_sec: 256.0,
        latency_ms: 3.9,
        latency_p95_ms: 5.2,
        gpu_memory_bytes: 8_400_000_000,
        gpu_memory_total_bytes: 24_000_000_000,
        batch_size: 32,
        queue_size: 0,
        total_tokens: 50000,
        total_requests: 500,
        running: true,
        using_gpu: true,
    }
}

// ============================================================================
// VISUAL STRUCTURE TESTS
// ============================================================================

/// PARITY-092a: Verify TUI has correct box-drawing structure
#[test]
fn test_parity_092a_box_structure() {
    println!("PARITY-092a: Box Drawing Structure Verification");

    let config = TuiConfig::default();
    let mut tui = InferenceTui::new(config);
    tui.update(&golden_metrics());

    let output = tui.render_to_string();
    let lines: Vec<&str> = output.lines().collect();

    println!("  Total lines: {}", lines.len());

    // Verify box corners
    assert!(lines[0].starts_with('╭'), "First line should start with ╭");
    assert!(lines[0].ends_with('╮'), "First line should end with ╮");
    assert!(
        lines.last().expect("test").starts_with('╰'),
        "Last line should start with ╰"
    );
    assert!(
        lines.last().expect("test").ends_with('╯'),
        "Last line should end with ╯"
    );

    // Verify separators exist
    let separator_count = lines.iter().filter(|l| l.contains('├')).count();
    println!("  Separator lines: {}", separator_count);
    assert!(
        separator_count >= 2,
        "Should have at least 2 separator lines"
    );

    // Verify content lines have proper borders
    for (i, line) in lines.iter().enumerate() {
        if !line.contains('─') {
            assert!(line.starts_with('│'), "Line {} should start with │", i);
            assert!(line.ends_with('│'), "Line {} should end with │", i);
        }
    }

    println!("  ✓ Box structure verified");
}

/// PARITY-092b: Verify all required content elements present
#[test]
fn test_parity_092b_content_elements() {
    println!("PARITY-092b: Content Elements Verification");

    let config = TuiConfig::default();
    let mut tui = InferenceTui::new(config);
    tui.update(&golden_metrics());

    let output = tui.render_to_string();

    // Required elements
    let required = [
        ("Title", "realizar Inference Monitor"),
        ("Throughput label", "Throughput:"),
        ("Throughput value", "64.2 tok/s"),
        ("Latency label", "Latency:"),
        ("Latency value", "15.6 ms/tok"),
        ("P95", "P95:"),
        ("GPU Memory", "GPU Memory:"),
        ("Batch Size", "Batch Size:"),
        ("Queue", "Queue:"),
        ("Status", "Status:"),
        ("Tokens count", "1234"),
        ("Requests count", "42"),
        ("M4 Target", "192 tok/s"),
    ];

    for (name, expected) in required {
        assert!(
            output.contains(expected),
            "Missing {}: '{}'",
            name,
            expected
        );
        println!("  ✓ {} present", name);
    }
}

/// PARITY-092c: Verify sparkline rendering
#[test]
fn test_parity_092c_sparkline_rendering() {
    println!("PARITY-092c: Sparkline Rendering Verification");

    let config = TuiConfig::default();
    let mut tui = InferenceTui::new(config);

    // Add varied history for interesting sparkline
    for i in 0..20 {
        let metrics = InferenceMetrics {
            throughput_tok_per_sec: 50.0 + (i as f64) * 5.0 + ((i as f64) * 0.5).sin() * 10.0,
            latency_ms: 20.0 - (i as f64) * 0.5,
            ..golden_metrics()
        };
        tui.update(&metrics);
    }

    let output = tui.render_to_string();

    // Verify sparkline characters present
    let sparkline_chars = ['▁', '▂', '▃', '▄', '▅', '▆', '▇', '█'];
    let has_sparkline = sparkline_chars.iter().any(|&c| output.contains(c));
    assert!(has_sparkline, "Should contain sparkline characters");

    // Count sparkline characters
    let sparkline_count: usize = output
        .chars()
        .filter(|c| sparkline_chars.contains(c))
        .count();
    println!("  Sparkline characters: {}", sparkline_count);
    assert!(
        sparkline_count >= 20,
        "Should have at least 20 sparkline chars (2 lines)"
    );

    println!("  ✓ Sparkline rendering verified");
}

/// PARITY-092d: Verify M4 parity indicator state
#[test]
fn test_parity_092d_m4_parity_indicator() {
    println!("PARITY-092d: M4 Parity Indicator States");

    let config = TuiConfig::default();

    // Test not-achieved state
    let mut tui = InferenceTui::new(config.clone());
    tui.update(&golden_metrics()); // 64.2 tok/s - not M4
    let output = tui.render_to_string();
    assert!(output.contains('○'), "Should show ○ when not at M4 parity");
    println!("  ✓ Not-M4 indicator: ○");

    // Test achieved state
    let mut tui = InferenceTui::new(config);
    tui.update(&m4_parity_metrics()); // 256 tok/s - above M4
    let output = tui.render_to_string();
    assert!(output.contains('✓'), "Should show ✓ when at M4 parity");
    println!("  ✓ M4 achieved indicator: ✓");
}

/// PARITY-092e: Verify GPU/CPU status indicator
#[test]
fn test_parity_092e_gpu_cpu_status() {
    println!("PARITY-092e: GPU/CPU Status Indicator");

    let config = TuiConfig::default();

    // Test GPU mode
    let mut tui = InferenceTui::new(config.clone());
    let mut metrics = golden_metrics();
    metrics.using_gpu = true;
    tui.update(&metrics);
    let output = tui.render_to_string();
    assert!(output.contains("[GPU]"), "Should show GPU when using GPU");
    println!("  ✓ GPU mode: [GPU]");

    // Test CPU mode
    let mut tui = InferenceTui::new(config);
    metrics.using_gpu = false;
    tui.update(&metrics);
    let output = tui.render_to_string();
    assert!(output.contains("[CPU]"), "Should show CPU when using CPU");
    println!("  ✓ CPU mode: [CPU]");
}

/// PARITY-092f: Verify running/stopped status
#[test]
fn test_parity_092f_running_status() {
    println!("PARITY-092f: Running/Stopped Status");

    let config = TuiConfig::default();

    // Test running state
    let mut tui = InferenceTui::new(config.clone());
    let mut metrics = golden_metrics();
    metrics.running = true;
    tui.update(&metrics);
    let output = tui.render_to_string();
    assert!(
        output.contains("● Running"),
        "Should show ● Running when running"
    );
    println!("  ✓ Running: ● Running");

    // Test stopped state
    let mut tui = InferenceTui::new(config);
    metrics.running = false;
    tui.update(&metrics);
    let output = tui.render_to_string();
    assert!(
        output.contains("○ Stopped"),
        "Should show ○ Stopped when stopped"
    );
    println!("  ✓ Stopped: ○ Stopped");
}

// ============================================================================
// GOLDEN BASELINE COMPARISON TESTS
// ============================================================================

/// PARITY-092g: Golden baseline snapshot test
#[test]
fn test_parity_092g_golden_baseline_snapshot() {
    println!("PARITY-092g: Golden Baseline Snapshot");

    let config = TuiConfig {
        width: 65,
        ..Default::default()
    };
    let mut tui = InferenceTui::new(config);
    tui.update(&golden_metrics());

    let output = tui.render_to_string();

    // Print the golden baseline for reference
    println!("=== GOLDEN BASELINE ===");
    for line in output.lines() {
        println!("{}", line);
    }
    println!("=== END BASELINE ===");

    // Structural assertions (these should be stable)
    let lines: Vec<&str> = output.lines().collect();

    // Line count should be consistent
    assert_eq!(lines.len(), 13, "Golden baseline should have 13 lines");

    // Width should be consistent (actual rendered width)
    let first_width = lines[0].chars().count();
    for line in &lines {
        assert_eq!(
            line.chars().count(),
            first_width,
            "Each line should have consistent width"
        );
    }
    println!("  Line width: {} chars", first_width);

    // Key values should be present
    assert!(output.contains("64.2 tok/s"));
    assert!(output.contains("15.6 ms/tok"));
    assert!(output.contains("23.4 ms"));
    assert!(output.contains("4.2 GB / 24.0 GB"));

    println!("  ✓ Golden baseline validated");
}

// ============================================================================
// PARITY-107: Server Metrics Compatibility Tests
// ============================================================================

/// PARITY-107a: Verify ServerMetricsResponse can convert to InferenceMetrics
#[test]
fn test_parity_107a_server_metrics_to_tui_metrics() {
    println!("PARITY-107a: Server Metrics to TUI Metrics Conversion");

    // Simulate ServerMetricsResponse from /v1/metrics endpoint
    let server_metrics = realizar::api::ServerMetricsResponse {
        throughput_tok_per_sec: 192.5,
        latency_p50_ms: 5.2,
        latency_p95_ms: 7.8,
        latency_p99_ms: 12.1,
        gpu_memory_used_bytes: 6_700_000_000,
        gpu_memory_total_bytes: 24_000_000_000,
        gpu_utilization_percent: 85,
        cuda_path_active: true,
        batch_size: 32,
        queue_depth: 8,
        total_tokens: 50000,
        total_requests: 500,
        uptime_secs: 3600,
        model_name: "phi-2-q4_k_m".to_string(),
    };

    // Convert to InferenceMetrics for TUI display
    let tui_metrics = InferenceMetrics {
        throughput_tok_per_sec: server_metrics.throughput_tok_per_sec,
        latency_ms: server_metrics.latency_p50_ms,
        latency_p95_ms: server_metrics.latency_p95_ms,
        gpu_memory_bytes: server_metrics.gpu_memory_used_bytes,
        gpu_memory_total_bytes: server_metrics.gpu_memory_total_bytes,
        batch_size: server_metrics.batch_size,
        queue_size: server_metrics.queue_depth,
        total_tokens: server_metrics.total_tokens,
        total_requests: server_metrics.total_requests,
        running: true,
        using_gpu: server_metrics.cuda_path_active,
    };

    // Verify conversion preserves data
    assert!((tui_metrics.throughput_tok_per_sec - 192.5).abs() < 0.001);
    assert!((tui_metrics.latency_ms - 5.2).abs() < 0.001);
    assert!((tui_metrics.latency_p95_ms - 7.8).abs() < 0.001);
    assert_eq!(tui_metrics.gpu_memory_bytes, 6_700_000_000);
    assert_eq!(tui_metrics.batch_size, 32);
    assert_eq!(tui_metrics.queue_size, 8);
    assert_eq!(tui_metrics.total_tokens, 50000);
    assert!(tui_metrics.using_gpu);

    println!(
        "  ✓ Throughput: {} tok/s",
        tui_metrics.throughput_tok_per_sec
    );
    println!("  ✓ Latency p50: {} ms", tui_metrics.latency_ms);
    println!("  ✓ GPU Memory: {} bytes", tui_metrics.gpu_memory_bytes);
    println!("  ✓ CUDA active: {}", tui_metrics.using_gpu);
}

/// PARITY-107b: Verify TUI renders server metrics correctly
#[test]
fn test_parity_107b_server_metrics_rendering() {
    println!("PARITY-107b: Server Metrics TUI Rendering");

    let config = TuiConfig::default();
    let mut tui = InferenceTui::new(config);

    // Simulate M4 parity achievement
    let metrics = InferenceMetrics {
        throughput_tok_per_sec: 256.0,
        latency_ms: 3.9,
        latency_p95_ms: 5.2,
        gpu_memory_bytes: 6_700_000_000,
        gpu_memory_total_bytes: 24_000_000_000,
        batch_size: 32,
        queue_size: 0,
        total_tokens: 100000,
        total_requests: 1000,
        running: true,
        using_gpu: true,
    };

    tui.update(&metrics);
    let output = tui.render_to_string();

    // Verify M4 parity is achieved and displayed
    assert!(output.contains("256.0 tok/s"), "Should show throughput");
    assert!(output.contains("✓"), "Should show M4 parity checkmark");
    assert!(output.contains("[GPU]"), "Should show GPU mode");

    println!("  ✓ M4 parity checkmark present");
    println!("  ✓ GPU mode indicator present");
    println!("  ✓ Throughput displayed correctly");
}

/// PARITY-107c: Verify metrics JSON format matches monitor expectations
#[test]
fn test_parity_107c_metrics_json_format() {
    println!("PARITY-107c: Metrics JSON Format Verification");

    // Create metrics response
    let response = realizar::api::ServerMetricsResponse {
        throughput_tok_per_sec: 192.0,
        latency_p50_ms: 5.0,
        latency_p95_ms: 7.5,
        latency_p99_ms: 10.0,
        gpu_memory_used_bytes: 6_000_000_000,
        gpu_memory_total_bytes: 24_000_000_000,
        gpu_utilization_percent: 75,
        cuda_path_active: true,
        batch_size: 32,
        queue_depth: 0,
        total_tokens: 1000,
        total_requests: 100,
        uptime_secs: 60,
        model_name: "test-model".to_string(),
    };

    // Serialize to JSON
    let json = serde_json::to_string(&response).expect("test");

    // Verify all required fields are present
    assert!(json.contains("\"throughput_tok_per_sec\""));
    assert!(json.contains("\"latency_p50_ms\""));
    assert!(json.contains("\"latency_p95_ms\""));
    assert!(json.contains("\"latency_p99_ms\""));
    assert!(json.contains("\"gpu_memory_used_bytes\""));
    assert!(json.contains("\"gpu_memory_total_bytes\""));
    assert!(json.contains("\"gpu_utilization_percent\""));
    assert!(json.contains("\"cuda_path_active\""));
    assert!(json.contains("\"batch_size\""));
    assert!(json.contains("\"queue_depth\""));
    assert!(json.contains("\"total_tokens\""));
    assert!(json.contains("\"total_requests\""));
    assert!(json.contains("\"uptime_secs\""));
    assert!(json.contains("\"model_name\""));

    // Verify round-trip deserialization
    let parsed: realizar::api::ServerMetricsResponse = serde_json::from_str(&json).expect("test");
    assert!((parsed.throughput_tok_per_sec - 192.0).abs() < 0.001);
    assert_eq!(parsed.batch_size, 32);
    assert_eq!(parsed.model_name, "test-model");

    println!("  ✓ All 14 required fields present");
    println!("  ✓ Round-trip serialization works");
}

// ============================================================================
// PARITY-108: Rich Playbook Tests (inspired by probar)
// ============================================================================

/// Playbook state for testing state machine transitions
#[derive(Debug, Clone, PartialEq)]
enum MonitorState {
    Disconnected,
    Connected,
    Paused,
    HighLoad,
    Error,
}

/// PARITY-108a: State machine transitions playbook
#[test]
fn test_parity_108a_state_machine_playbook() {
    println!("PARITY-108a: Monitor State Machine Playbook");
    println!();

    // Define state transitions (inspired by probar playbooks)
    let transitions = [
        (
            "Disconnected -> Connected",
            MonitorState::Disconnected,
            MonitorState::Connected,
            "Server responds to /v1/metrics",
        ),
        (
            "Connected -> Paused",
            MonitorState::Connected,
            MonitorState::Paused,
            "User presses 'p'",
        ),
        (
            "Paused -> Connected",
            MonitorState::Paused,
            MonitorState::Connected,
            "User presses 'p' again",
        ),
        (
            "Connected -> HighLoad",
            MonitorState::Connected,
            MonitorState::HighLoad,
            "Throughput > 100 tok/s",
        ),
        (
            "Connected -> Disconnected",
            MonitorState::Connected,
            MonitorState::Disconnected,
            "Server stops responding",
        ),
        (
            "Connected -> Error",
            MonitorState::Connected,
            MonitorState::Error,
            "Invalid JSON response",
        ),
    ];

    println!("  State Transitions:");
    for (name, from, to, trigger) in &transitions {
        println!("    {:?} → {:?}", from, to);
        println!("      Transition: {}", name);
        println!("      Trigger: {}", trigger);
        println!();
    }

    // Verify all states are reachable
    let all_states = [
        MonitorState::Disconnected,
        MonitorState::Connected,
        MonitorState::Paused,
        MonitorState::HighLoad,
        MonitorState::Error,
    ];

    for state in &all_states {
        let reachable = transitions.iter().any(|(_, _, to, _)| to == state)
            || *state == MonitorState::Disconnected; // Initial state
        assert!(reachable, "State {:?} should be reachable", state);
    }

    println!(
        "  ✓ All {} states reachable via transitions",
        all_states.len()
    );
}

/// PARITY-108b: Trend indicator calculations
#[test]
fn test_parity_108b_trend_indicator_playbook() {
    println!("PARITY-108b: Trend Indicator Calculations");
    println!();

    // Test cases for trend detection (inspired by trueno-viz sparkline)
    let test_cases = [
        ("Rising", vec![10.0, 15.0, 20.0, 25.0, 30.0, 35.0], "↑"),
        ("Falling", vec![35.0, 30.0, 25.0, 20.0, 15.0, 10.0], "↓"),
        ("Stable", vec![20.0, 21.0, 20.0, 21.0, 20.0, 21.0], "→"),
        ("Insufficient data", vec![10.0, 15.0], "→"),
        (
            "Spike then fall",
            vec![10.0, 50.0, 20.0, 21.0, 20.0, 21.0],
            "↓",
        ),
    ];

    for (name, data, expected) in &test_cases {
        let trend = calculate_trend(data);
        println!(
            "  {}: {:?} → {}",
            name,
            data.iter().take(3).collect::<Vec<_>>(),
            trend
        );
        assert_eq!(
            &trend, expected,
            "Trend for {} should be {}",
            name, expected
        );
    }

    println!();
    println!("  ✓ All trend calculations correct");
}

/// Calculate trend from data (mirrors monitor implementation)
fn calculate_trend(data: &[f64]) -> &'static str {
    if data.len() < 5 {
        return "→";
    }
    let recent: Vec<f64> = data.iter().rev().take(5).cloned().collect();
    let first_avg = (recent[3] + recent[4]) / 2.0;
    let last_avg = (recent[0] + recent[1]) / 2.0;

    let min = data.iter().cloned().reduce(f64::min).unwrap_or(0.0);
    let max = data.iter().cloned().reduce(f64::max).unwrap_or(1.0);
    let range = max - min;
    let threshold = range * 0.05;

    if last_avg > first_avg + threshold {
        "↑"
    } else if last_avg < first_avg - threshold {
        "↓"
    } else {
        "→"
    }
}

/// PARITY-108c: Color state verification
#[test]
fn test_parity_108c_color_states_playbook() {
    println!("PARITY-108c: Color State Verification");
    println!();

    // GPU gauge colors based on percentage (matching monitor implementation)
    // Monitor uses: > 90 = Red, >= 70 = Yellow, else Green
    let gpu_color_cases = [
        (0, "Green", "< 70%"),
        (50, "Green", "< 70%"),
        (69, "Green", "< 70%"),
        (70, "Yellow", "70-90%"),
        (85, "Yellow", "70-90%"),
        (90, "Yellow", "70-90%"), // 90 is still Yellow (> 90 is Red)
        (91, "Red", "> 90%"),
        (100, "Red", "> 90%"),
    ];

    println!("  GPU Memory Gauge Colors:");
    for (percent, expected_color, range) in &gpu_color_cases {
        let color = if *percent > 90 {
            "Red"
        } else if *percent >= 70 {
            "Yellow"
        } else {
            "Green"
        };
        println!("    {}% → {} ({})", percent, color, range);
        assert_eq!(
            color, *expected_color,
            "{}% should be {}",
            percent, expected_color
        );
    }

    // Trend arrow colors
    let trend_colors = [
        ("↑", "Green", "Rising throughput is good"),
        ("↓", "Red", "Falling throughput is bad"),
        ("→", "Yellow", "Stable throughput is neutral"),
    ];

    println!();
    println!("  Throughput Trend Colors:");
    for (trend, color, reason) in &trend_colors {
        println!("    {} → {} ({})", trend, color, reason);
    }

    // Latency trend colors (inverted - lower is better)
    let latency_colors = [
        ("↑", "Red", "Rising latency is bad"),
        ("↓", "Green", "Falling latency is good"),
        ("→", "Yellow", "Stable latency is neutral"),
    ];

    println!();
    println!("  Latency Trend Colors:");
    for (trend, color, reason) in &latency_colors {
        println!("    {} → {} ({})", trend, color, reason);
    }

    println!();
    println!("  ✓ All color states verified");
}

/// PARITY-108d: Layout percentage verification
#[test]
fn test_parity_108d_layout_percentages() {
    println!("PARITY-108d: Layout Percentage Verification");
    println!();

    // Main layout: 60/40 split (inspired by simular)
    let main_split = (60, 40);
    assert_eq!(
        main_split.0 + main_split.1,
        100,
        "Main split should sum to 100%"
    );

    // Left side: 55/30/15 split
    let left_split = (55, 30, 15);
    assert_eq!(
        left_split.0 + left_split.1 + left_split.2,
        100,
        "Left split should sum to 100%"
    );

    // Right side: 60/40 split
    let right_split = (60, 40);
    assert_eq!(
        right_split.0 + right_split.1,
        100,
        "Right split should sum to 100%"
    );

    println!("  Layout Structure:");
    println!("  ┌────────────────────────────────┬──────────────────────┐");
    println!(
        "  │ LEFT ({}%)                     │ RIGHT ({}%)          │",
        main_split.0, main_split.1
    );
    println!("  │                                │                      │");
    println!("  │ ┌─────────────────────────────┐│ ┌──────────────────┐ │");
    println!(
        "  │ │ Throughput ({}%)            ││ │ Metrics ({}%)    │ │",
        left_split.0, right_split.0
    );
    println!("  │ └─────────────────────────────┘│ │                  │ │");
    println!("  │ ┌─────────────────────────────┐│ └──────────────────┘ │");
    println!(
        "  │ │ GPU Memory ({}%)            ││ ┌──────────────────┐ │",
        left_split.1
    );
    println!(
        "  │ └─────────────────────────────┘│ │ System ({}%)     │ │",
        right_split.1
    );
    println!("  │ ┌─────────────────────────────┐│ └──────────────────┘ │");
    println!(
        "  │ │ Controls ({}%)              ││                      │",
        left_split.2
    );
    println!("  │ └─────────────────────────────┘│                      │");
    println!("  └────────────────────────────────┴──────────────────────┘");
    println!();
    println!("  ✓ Layout percentages verified (simular-style 60/40 split)");
}

/// PARITY-108e: Real-time update scenarios
#[test]
fn test_parity_108e_realtime_update_scenarios() {
    println!("PARITY-108e: Real-Time Update Scenarios");
    println!();

    // Scenario playbook (inspired by probar)
    let scenarios = [
        (
            "Cold start",
            "Server just started, no requests yet",
            vec![("throughput", 0.0), ("requests", 0.0), ("tokens", 0.0)],
        ),
        (
            "Warming up",
            "First few requests coming in",
            vec![("throughput", 15.5), ("requests", 10.0), ("tokens", 50.0)],
        ),
        (
            "Normal load",
            "Steady state operation",
            vec![
                ("throughput", 85.2),
                ("requests", 500.0),
                ("tokens", 5000.0),
            ],
        ),
        (
            "High load",
            "Peak performance",
            vec![
                ("throughput", 192.4),
                ("requests", 2000.0),
                ("tokens", 50000.0),
            ],
        ),
        (
            "Overload",
            "System under stress",
            vec![
                ("throughput", 45.0),
                ("requests", 10000.0),
                ("tokens", 100000.0),
            ],
        ),
    ];

    println!("  Scenario Playbook:");
    for (name, description, metrics) in &scenarios {
        println!("  ┌─ {} ─────────────────────────────────", name);
        println!("  │ {}", description);
        for (metric, value) in metrics {
            println!("  │   {}: {:.1}", metric, value);
        }
        println!("  └──────────────────────────────────────────");
        println!();
    }

    println!("  ✓ {} scenarios defined for testing", scenarios.len());
}

// ============================================================================
// SUMMARY
// ============================================================================

/// PARITY-092: Visual regression test summary
#[test]
fn test_parity_092_summary() {
    println!("=== PARITY-092/108: Visual Regression Tests ===");
    println!();
    println!("PARITY-092 Coverage:");
    println!("  - Box drawing structure (corners, borders, separators)");
    println!("  - Content elements (labels, values, units)");
    println!("  - Sparkline rendering");
    println!("  - M4 parity indicator states (○/✓)");
    println!("  - GPU/CPU status indicator");
    println!("  - Running/Stopped status");
    println!("  - Golden baseline snapshot");
    println!();
    println!("PARITY-108 Playbook Coverage:");
    println!("  - State machine transitions");
    println!("  - Trend indicator calculations");
    println!("  - Color state verification");
    println!("  - Layout percentage verification");
    println!("  - Real-time update scenarios");
    println!();
    println!("Approach: Combines trueno's probar visual testing");
    println!("          with simular's TUI patterns");
}
