use crate::state::AppState;
use crate::styles::{ALT_BG_COLOR, BG_COLOR};
use crate::widgets::{FnWidget, Panel};
use radiate_engines::stats::fmt_duration;
use radiate_engines::{Chromosome, MetricSet};
use ratatui::prelude::*;
use ratatui::style::{Color, Stylize};
use ratatui::widgets::{Paragraph, Row, Table};
pub struct EngineSummaryWidget<C: Chromosome> {
_phantom: std::marker::PhantomData<C>,
}
impl<C: Chromosome> EngineSummaryWidget<C> {
pub fn new() -> Self {
Self {
_phantom: std::marker::PhantomData,
}
}
}
impl<C: Chromosome> StatefulWidget for EngineSummaryWidget<C> {
type State = AppState<C>;
fn render(self, area: Rect, buf: &mut Buffer, state: &mut Self::State) {
let metrics = state.metrics();
let elapsed = metrics
.time()
.and_then(|m| m.time_sum())
.map(fmt_duration)
.unwrap_or_else(|| "00:00:00.000".to_string());
let rows = if state.objective_state.objective.is_single() {
get_single_objective_summaries::<C>(&metrics)
} else {
get_multi_objective_summaries::<C>(&metrics)
};
let mut title = vec![
"Gen ".fg(Color::Gray).bold(),
format!("{}", state.index()).fg(Color::LightGreen),
];
if state.objective_state.objective.is_single() {
title.push(" | Score ".fg(Color::Gray).bold());
title.push(format!("{:.4} ", state.score().as_f32()).fg(Color::LightGreen));
} else {
title.push(" | MOGA ".fg(Color::Gray).bold());
}
title.push("| Time ".fg(Color::Gray).bold());
title.push(elapsed.clone().fg(Color::LightGreen));
let engine_table = Table::default()
.rows(striped_rows(rows))
.widths(&[Constraint::Fill(1), Constraint::Fill(1)]);
let engine_state = if state.is_engine_running() {
if state.is_engine_paused() {
" Paused ".fg(Color::Yellow).bold()
} else {
" Running ".fg(Color::LightGreen).bold()
}
} else {
" Complete ".fg(Color::Red).bold()
};
Panel::new(FnWidget::new(|area, buf| {
let layout = Layout::default()
.direction(Direction::Vertical)
.constraints([Constraint::Percentage(15), Constraint::Fill(1)])
.split(area);
Paragraph::new(Line::from(title).centered()).render(layout[0], buf);
Widget::render(engine_table, layout[1], buf);
}))
.titled(Line::from(engine_state).alignment(Alignment::Center))
.render(area, buf);
}
}
fn striped_rows<'a>(rows: impl IntoIterator<Item = Row<'a>>) -> impl Iterator<Item = Row<'a>> {
rows.into_iter().enumerate().map(|(i, row)| {
let bg = if i % 2 == 0 { BG_COLOR } else { ALT_BG_COLOR };
row.style(Style::default().bg(bg))
})
}
fn get_multi_objective_summaries<C: Chromosome>(metrics: &MetricSet) -> Vec<Row<'static>> {
let diversity = metrics
.diversity_ratio()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let carryover = metrics
.carryover_rate()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let unique_members = metrics
.unique_members()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let improvements = metrics.improvements().map(|m| m.count()).unwrap_or(0);
let survivor_count = metrics
.survivor_count()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let new_children = metrics
.new_children()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let front_size = metrics
.front_size()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let front_entropy = metrics
.front_entropy()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let rows = vec![
Row::new(vec!["Improvements".bold(), improvements.to_string().into()]),
Row::new(vec![
"Diversity".bold(),
format!("{:.2}%", diversity * 100.0).into(),
]),
Row::new(vec![
"Carryover".bold(),
format!("{:.2}%", carryover * 100.0).into(),
]),
Row::new(vec![
"Unique Members".bold(),
format!("{:.2}", unique_members).into(),
]),
Row::new(vec![
"Front Size".bold(),
format!("{:.2}", front_size).into(),
]),
Row::new(vec![
"Front Entropy".bold(),
format!("{:.4}", front_entropy).into(),
]),
Row::new(vec![
"Survivor / Gen.".bold(),
format!("{:.2}", survivor_count).into(),
]),
Row::new(vec![
"Children / Gen.".bold(),
format!("{:.2}", new_children).into(),
]),
];
rows
}
fn get_single_objective_summaries<C: Chromosome>(metrics: &MetricSet) -> Vec<Row<'static>> {
let diversity = metrics
.diversity_ratio()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let carryover = metrics
.carryover_rate()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let unique_members = metrics
.unique_members()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let unique_scores = metrics
.unique_scores()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let improvements = metrics.improvements().map(|m| m.count()).unwrap_or(0);
let survivor_count = metrics
.survivor_count()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let new_children = metrics
.new_children()
.and_then(|m| m.value_mean())
.unwrap_or(0.0);
let rows = vec![
Row::new(vec!["Improvements".bold(), improvements.to_string().into()]),
Row::new(vec![
"Diversity".bold(),
format!("{:.2}%", diversity * 100.0).into(),
]),
Row::new(vec![
"Carryover".bold(),
format!("{:.2}%", carryover * 100.0).into(),
]),
Row::new(vec![
"Unique Members".bold(),
format!("{:.2}", unique_members).into(),
]),
Row::new(vec![
"Unique Scores".bold(),
format!("{:.2}", unique_scores).into(),
]),
Row::new(vec![
"Survivor / Gen.".bold(),
format!("{:.2}", survivor_count).into(),
]),
Row::new(vec![
"Children / Gen.".bold(),
format!("{:.2}", new_children).into(),
]),
];
rows
}