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| 1 | +use ratatui::{ |
| 2 | + layout::{Alignment, Constraint, Direction, Layout, Rect}, |
| 3 | + style::Color, |
| 4 | + style::Style, |
| 5 | + text::{Line, Span}, |
| 6 | + widgets::canvas::Line as CanvasLine, |
| 7 | + widgets::{canvas::Canvas, Block, Borders, Chart, Dataset, Paragraph}, |
| 8 | + Frame, |
| 9 | +}; |
| 10 | + |
| 11 | +/// Helper function to draw a line on a canvas |
| 12 | +pub fn draw_line( |
| 13 | + ctx: &mut ratatui::widgets::canvas::Context, |
| 14 | + x1: f64, |
| 15 | + y1: f64, |
| 16 | + x2: f64, |
| 17 | + y2: f64, |
| 18 | + color: Color, |
| 19 | +) { |
| 20 | + ctx.draw(&CanvasLine { |
| 21 | + x1, |
| 22 | + y1, |
| 23 | + x2, |
| 24 | + y2, |
| 25 | + color, |
| 26 | + }); |
| 27 | +} |
| 28 | + |
| 29 | +/// Compute latency metrics (mean, median, 25th percentile, 75th percentile) from samples |
| 30 | +pub fn compute_latency_metrics(samples: &[f64]) -> Option<(f64, f64, f64, f64)> { |
| 31 | + if samples.len() < 2 { |
| 32 | + return None; |
| 33 | + } |
| 34 | + let mut sorted = samples.to_vec(); |
| 35 | + sorted.sort_by(|a, b| a.partial_cmp(b).unwrap()); |
| 36 | + let n = sorted.len(); |
| 37 | + let mean = samples.iter().sum::<f64>() / samples.len() as f64; |
| 38 | + let median = sorted[n / 2]; |
| 39 | + let p25 = sorted[n / 4]; |
| 40 | + let p75 = sorted[3 * n / 4]; |
| 41 | + Some((mean, median, p25, p75)) |
| 42 | +} |
| 43 | + |
| 44 | +/// Helper function to compute metrics from throughput points (time, value pairs) |
| 45 | +pub fn compute_throughput_metrics(points: &[(f64, f64)]) -> Option<(f64, f64, f64, f64)> { |
| 46 | + if points.len() < 2 { |
| 47 | + return None; |
| 48 | + } |
| 49 | + // Extract just the throughput values (y-values) |
| 50 | + let values: Vec<f64> = points.iter().map(|(_, y)| *y).collect(); |
| 51 | + let mut sorted = values.clone(); |
| 52 | + sorted.sort_by(|a, b| a.partial_cmp(b).unwrap()); |
| 53 | + let n = sorted.len(); |
| 54 | + let mean = values.iter().sum::<f64>() / values.len() as f64; |
| 55 | + let median = sorted[n / 2]; |
| 56 | + let p25 = sorted[n / 4]; |
| 57 | + let p75 = sorted[3 * n / 4]; |
| 58 | + Some((mean, median, p25, p75)) |
| 59 | +} |
| 60 | + |
| 61 | +/// Helper function to render a box plot with metrics inside the same bordered box |
| 62 | +pub fn render_box_plot_with_metrics_inside( |
| 63 | + f: &mut Frame, |
| 64 | + area: Rect, |
| 65 | + samples: &[f64], |
| 66 | + title: Line, |
| 67 | + color: Option<Color>, |
| 68 | +) { |
| 69 | + // Get inner area (accounting for borders) |
| 70 | + let inner = if area.width > 2 && area.height > 2 { |
| 71 | + Rect { |
| 72 | + x: area.x + 1, |
| 73 | + y: area.y + 1, |
| 74 | + width: area.width.saturating_sub(2), |
| 75 | + height: area.height.saturating_sub(2), |
| 76 | + } |
| 77 | + } else { |
| 78 | + area |
| 79 | + }; |
| 80 | + |
| 81 | + // Split inner area into chart (top) and metrics (bottom) |
| 82 | + let chart_metrics = Layout::default() |
| 83 | + .direction(Direction::Vertical) |
| 84 | + .constraints([Constraint::Min(5), Constraint::Length(1)].as_ref()) |
| 85 | + .split(inner); |
| 86 | + |
| 87 | + // Render box plot in top area (without its own borders, we'll add them to the whole area) |
| 88 | + if samples.len() >= 2 { |
| 89 | + // Create box plot without borders (we'll add borders to the whole widget) |
| 90 | + let mut sorted = samples.to_vec(); |
| 91 | + sorted.sort_by(|a, b| a.partial_cmp(b).unwrap()); |
| 92 | + let n = sorted.len(); |
| 93 | + let (min_val, max_val, q1, med, q3, mean) = if n >= 2 { |
| 94 | + let min = sorted[0]; |
| 95 | + let q1_val = sorted[n / 4]; |
| 96 | + let med_val = sorted[n / 2]; |
| 97 | + let q3_val = sorted[3 * n / 4]; |
| 98 | + let max = sorted[n - 1]; |
| 99 | + let mean_val = samples.iter().sum::<f64>() / samples.len() as f64; |
| 100 | + (min, max, q1_val, med_val, q3_val, mean_val) |
| 101 | + } else { |
| 102 | + (0.0, 1.0, 0.0, 0.0, 0.0, 0.0) |
| 103 | + }; |
| 104 | + |
| 105 | + let canvas = Canvas::default() |
| 106 | + .x_bounds([min_val - 0.5, max_val + 0.5]) |
| 107 | + .y_bounds([-1.0, 1.0]) |
| 108 | + .paint(move |ctx| { |
| 109 | + if n >= 2 { |
| 110 | + // Box (Q1 to Q3) |
| 111 | + draw_line(ctx, q1, -0.4, q3, -0.4, Color::White); |
| 112 | + draw_line(ctx, q1, 0.4, q3, 0.4, Color::White); |
| 113 | + draw_line(ctx, q1, -0.4, q1, 0.4, Color::White); |
| 114 | + draw_line(ctx, q3, -0.4, q3, 0.4, Color::White); |
| 115 | + |
| 116 | + // Median |
| 117 | + draw_line(ctx, med, -0.4, med, 0.4, Color::Yellow); |
| 118 | + |
| 119 | + // Mean |
| 120 | + draw_line(ctx, mean, -0.4, mean, 0.4, Color::Cyan); |
| 121 | + |
| 122 | + // Whiskers |
| 123 | + draw_line(ctx, min_val, 0.0, q1, 0.0, Color::White); |
| 124 | + draw_line(ctx, q3, 0.0, max_val, 0.0, Color::White); |
| 125 | + |
| 126 | + // Whisker caps |
| 127 | + draw_line(ctx, min_val, -0.2, min_val, 0.2, Color::White); |
| 128 | + draw_line(ctx, max_val, -0.2, max_val, 0.2, Color::White); |
| 129 | + } |
| 130 | + }); |
| 131 | + f.render_widget(canvas, chart_metrics[0]); |
| 132 | + |
| 133 | + // Render metrics in bottom area |
| 134 | + if let Some(metrics) = compute_latency_metrics(samples) { |
| 135 | + let metrics_text = render_metrics_text(metrics, color); |
| 136 | + f.render_widget( |
| 137 | + Paragraph::new(metrics_text).alignment(Alignment::Center), |
| 138 | + chart_metrics[1], |
| 139 | + ); |
| 140 | + } |
| 141 | + } else { |
| 142 | + let empty = Paragraph::new("Waiting for data..."); |
| 143 | + f.render_widget(empty, inner); |
| 144 | + } |
| 145 | + |
| 146 | + // Render the border with title around the whole area |
| 147 | + let block = Block::default().borders(Borders::ALL).title(title); |
| 148 | + f.render_widget(block, area); |
| 149 | +} |
| 150 | + |
| 151 | +/// Helper function to render metrics text (avg, med, p25, p75) |
| 152 | +fn render_metrics_text<'a>(metrics: (f64, f64, f64, f64), color: Option<Color>) -> Line<'a> { |
| 153 | + let (mean_val, median_val, p25_val, p75_val) = metrics; |
| 154 | + if let Some(c) = color { |
| 155 | + Line::from(vec![ |
| 156 | + Span::styled("avg", Style::default().fg(Color::Gray)), |
| 157 | + Span::styled(format!(" {:.0}", mean_val), Style::default().fg(c)), |
| 158 | + Span::raw(" "), |
| 159 | + Span::styled("med", Style::default().fg(Color::Gray)), |
| 160 | + Span::styled(format!(" {:.0}", median_val), Style::default().fg(c)), |
| 161 | + Span::raw(" "), |
| 162 | + Span::styled("p25", Style::default().fg(Color::Gray)), |
| 163 | + Span::styled(format!(" {:.0}", p25_val), Style::default().fg(c)), |
| 164 | + Span::raw(" "), |
| 165 | + Span::styled("p75", Style::default().fg(Color::Gray)), |
| 166 | + Span::styled(format!(" {:.0}", p75_val), Style::default().fg(c)), |
| 167 | + ]) |
| 168 | + } else { |
| 169 | + Line::from(format!( |
| 170 | + "avg {:.0} med {:.0} p25 {:.0} p75 {:.0}", |
| 171 | + mean_val, median_val, p25_val, p75_val |
| 172 | + )) |
| 173 | + } |
| 174 | +} |
| 175 | + |
| 176 | +/// Helper function to render a throughput chart with metrics inside the same bordered box |
| 177 | +pub fn render_chart_with_metrics_inside( |
| 178 | + f: &mut Frame, |
| 179 | + area: Rect, |
| 180 | + datasets: Vec<Dataset>, |
| 181 | + x_axis: ratatui::widgets::Axis, |
| 182 | + y_axis: ratatui::widgets::Axis, |
| 183 | + title: Line, |
| 184 | + metrics: Option<(f64, f64, f64, f64)>, |
| 185 | + color: Color, |
| 186 | +) { |
| 187 | + // Get inner area (accounting for borders) |
| 188 | + let inner = if area.width > 2 && area.height > 2 { |
| 189 | + Rect { |
| 190 | + x: area.x + 1, |
| 191 | + y: area.y + 1, |
| 192 | + width: area.width.saturating_sub(2), |
| 193 | + height: area.height.saturating_sub(2), |
| 194 | + } |
| 195 | + } else { |
| 196 | + area |
| 197 | + }; |
| 198 | + |
| 199 | + // Split inner area into chart (top) and metrics (bottom) |
| 200 | + let chart_metrics = Layout::default() |
| 201 | + .direction(Direction::Vertical) |
| 202 | + .constraints([Constraint::Min(8), Constraint::Length(1)].as_ref()) |
| 203 | + .split(inner); |
| 204 | + |
| 205 | + // Render chart in top area (without its own borders, we'll add them to the whole area) |
| 206 | + let chart_without_borders = Chart::new(datasets).x_axis(x_axis).y_axis(y_axis); |
| 207 | + f.render_widget(chart_without_borders, chart_metrics[0]); |
| 208 | + |
| 209 | + // Render metrics in bottom area |
| 210 | + if let Some(metrics) = metrics { |
| 211 | + let metrics_text = render_metrics_text(metrics, Some(color)); |
| 212 | + f.render_widget( |
| 213 | + Paragraph::new(metrics_text).alignment(Alignment::Center), |
| 214 | + chart_metrics[1], |
| 215 | + ); |
| 216 | + } |
| 217 | + |
| 218 | + // Render the border with title around the whole area |
| 219 | + let block = Block::default().borders(Borders::ALL).title(title); |
| 220 | + f.render_widget(block, area); |
| 221 | +} |
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