iota/src/gui/log_panel.rs
2025-11-25 18:37:13 +00:00

376 lines
14 KiB
Rust

use crate::APP_STATE;
use crate::SHUTDOWN;
use crate::gui::ratatui_interface::TERMINAL;
use crate::gui::widgets::betterblock::draw_block_joins;
use crate::langu::language_manager::format;
use crate::langu::language_manager::from_key;
use crate::data::communication::{CommunicationType, CommunicationValue, DataTypes};
use ratatui::widgets::canvas::{Canvas, Line};
use ratatui::{
layout::{Constraint, Direction, Layout},
style::Color,
widgets::{Block, Borders, List, ListItem, Paragraph},
};
use std::{thread, time::Duration};
use sysinfo::{RefreshKind, System};
pub fn log_cv(cv: &CommunicationValue) {
if cv.is_type(CommunicationType::identification_response) {
let args = [cv.get_data(DataTypes::accepted).unwrap().as_str().unwrap()];
log_message(format(&"identification_response", &args));
} else {
log_message_trans(format!("{:?}", &cv.comm_type));
}
}
pub fn log_message_trans(key: impl Into<String>) {
APP_STATE.lock().unwrap().push_log(from_key(&key.into()));
}
pub fn log_message(msg: impl Into<String>) {
APP_STATE.lock().unwrap().push_log(msg.into());
}
fn smooth_data(data: &[(f64, f64)], window_size: usize) -> Vec<(f64, f64)> {
if data.len() < window_size {
return data.to_vec();
}
let mut smoothed = Vec::with_capacity(data.len());
for i in 0..data.len() {
let start = if i + 1 >= window_size {
i + 1 - window_size
} else {
0
};
let window = &data[start..=i];
let avg = window.iter().map(|(_, y)| y).sum::<f64>() / window.len() as f64;
smoothed.push((data[i].0, avg));
}
smoothed
}
fn downsample_to_fit_width(data: &[(f64, f64)], width: u16) -> Vec<(f64, f64)> {
let width_usize = (width as usize) * 2;
let len = data.len();
if len >= width_usize {
// Trim data to fit
data[len - width_usize..].to_vec()
} else {
let mut result = Vec::with_capacity(width_usize);
// Define X spacing (so dummy points are properly spaced across the canvas)
let dx = 1.0;
let pad_len = width_usize - len;
// If we have real data, use its first x position to determine where to start padding
let start_x = data
.first()
.map(|(x, _)| x - (dx * pad_len as f64))
.unwrap_or(0.0);
let _ = data.first().map(|(_, y)| *y).unwrap_or(0.0);
// Fill padding with increasing x positions so they're visible
for i in 0..pad_len {
result.push((start_x + i as f64 * dx, -1 as f64));
}
// Then append the real data
result.extend_from_slice(data);
result
}
}
pub fn setup() {
// Start a background thread to sample metrics
thread::spawn(async move || {
let mut sys = System::new_with_specifics(RefreshKind::new());
let mut last_total_received = 0u64;
let mut last_total_transmitted = 0u64;
let mut counter = 0.0;
loop {
if *SHUTDOWN.read().await {
break;
}
sys.refresh_all();
let mut tcpu = 0;
for cpu in sys.cpus() {
tcpu += cpu.cpu_usage() as i64;
tcpu /= 2;
}
let ram = (sys.used_memory() as f64 / sys.total_memory() as f64) * 100.0;
let total_received = 0u64;
let total_transmitted = 0u64;
let delta_received = if last_total_received == 0 {
0
} else {
total_received.saturating_sub(last_total_received)
};
let delta_transmitted = if last_total_transmitted == 0 {
0
} else {
total_transmitted.saturating_sub(last_total_transmitted)
};
last_total_received = total_received;
last_total_transmitted = total_transmitted;
let net_down = delta_received as f64;
let net_up = delta_transmitted as f64;
{
let mut st = APP_STATE.lock().unwrap();
st.push_cpu((counter, tcpu as f64));
st.push_ram((counter, ram));
st.push_net_down((counter, net_down));
st.push_net_up((counter, net_up));
st.sys_info = format!("NetDown: {} NetUp: {}", delta_received, delta_transmitted);
}
counter += 1.0;
thread::sleep(Duration::from_millis(1000));
}
});
}
pub fn render() {
tokio::spawn(async move {
TERMINAL
.lock()
.await
.draw(|f| {
let sys = System::new_all();
let size = f.area();
let chunks = Layout::default()
.direction(Direction::Horizontal)
.constraints([Constraint::Percentage(40), Constraint::Percentage(60)])
.split(size);
let left = chunks[0];
let right = chunks[1];
{
let st = APP_STATE.lock().unwrap();
let items: Vec<ListItem> = st
.logs
.iter()
.rev()
.map(|s| ListItem::new(s.clone()))
.collect();
let list = List::new(items)
.block(Block::default().title("Logs").borders(Borders::ALL));
f.render_widget(list, left);
}
let right_chunks = Layout::default()
.direction(Direction::Vertical)
.constraints([Constraint::Length(3), Constraint::Min(0)])
.split(right);
{
let st = APP_STATE.lock().unwrap();
let header = Paragraph::new(st.sys_info.clone()).block(
Block::default()
.title("System Info")
.borders(Borders::TOP.union(Borders::LEFT).union(Borders::RIGHT)),
);
f.render_widget(header, right_chunks[0]);
}
let grid_chunks = Layout::default()
.direction(Direction::Horizontal)
.constraints([Constraint::Percentage(49), Constraint::Percentage(51)])
.split(right_chunks[1]);
let left_column = Layout::default()
.direction(Direction::Vertical)
.constraints([Constraint::Percentage(49), Constraint::Percentage(51)])
.split(grid_chunks[0]);
let right_column = Layout::default()
.direction(Direction::Vertical)
.constraints([Constraint::Percentage(49), Constraint::Percentage(51)])
.split(grid_chunks[1]);
let st = APP_STATE.lock().unwrap();
let w = grid_chunks[0].width.saturating_sub(2);
let ping_ds = downsample_to_fit_width(&smooth_data(&st.ping, 3), w + 4);
let cpu_ds = downsample_to_fit_width(&smooth_data(&st.cpu, 3), w);
let ram_ds = downsample_to_fit_width(&smooth_data(&st.ram, 3), w);
let down_ds = downsample_to_fit_width(&st.net_down, w + 4);
let up_ds = downsample_to_fit_width(&st.net_up, w + 4);
// ---- Render CPU ----
{
let min_x = cpu_ds.first().map(|(x, _)| *x).unwrap_or(0.0);
let max_x = cpu_ds.last().map(|(x, _)| *x).unwrap_or(100.0);
let block = Block::default()
.title(format!(
"CPU {}%",
&st.cpu.last().unwrap_or(&(0.0 as f64, 0.0 as f64)).1
))
.borders(Borders::TOP.union(Borders::RIGHT).union(Borders::LEFT));
let canvas = Canvas::default()
.block(block)
.x_bounds([min_x, max_x])
.y_bounds([0.0, 100.0])
.paint(|ctx| {
for (x, y) in &cpu_ds {
ctx.draw(&Line {
x1: *x,
y1: 0.0,
x2: *x,
y2: *y,
color: Color::Cyan,
});
}
});
f.render_widget(canvas, left_column[0]);
draw_block_joins(
f,
left_column[0],
Borders::TOP.union(Borders::LEFT),
Borders::TOP,
);
draw_block_joins(
f,
left_column[0],
Borders::TOP.union(Borders::RIGHT),
Borders::RIGHT,
);
}
// ---- Render RAM ----
{
let min_x = ram_ds.first().map(|(x, _)| *x).unwrap_or(0.0);
let max_x = ram_ds.last().map(|(x, _)| *x).unwrap_or(100.0);
let ram_used = sys.used_memory() as f64 / 1024.0 / 1024.0 / 1024.0;
let ram_total = sys.total_memory() as f64 / 1024.0 / 1024.0 / 1024.0;
let ram = (sys.used_memory() as f64 / sys.total_memory() as f64) * 100.0;
let canvas = Canvas::default()
.block(
Block::default()
.title(format!(
"RAM {:.1}% ({:.1}GiB/{:.1}GiB)",
ram, ram_used, ram_total
))
.borders(Borders::ALL),
)
.x_bounds([min_x, max_x])
.y_bounds([0.0, 100.0])
.paint(|ctx| {
for (x, y) in &ram_ds {
ctx.draw(&Line {
x1: *x,
y1: 0.0,
x2: *x,
y2: *y,
color: Color::Magenta,
});
}
});
f.render_widget(canvas, left_column[1]);
draw_block_joins(
f,
left_column[1],
Borders::ALL,
Borders::TOP.union(Borders::RIGHT),
);
}
// ---- Render Ping ----
{
let min_x = ping_ds.first().map(|(x, _)| *x).unwrap_or(0.0);
let max_x = ping_ds.last().map(|(x, _)| *x).unwrap_or(100.0);
let max_y = ping_ds.iter().map(|(_, y)| *y).fold(1.0, f64::max);
let canvas = Canvas::default()
.block(
Block::default()
.title(format!("Ping {:.1}(ms)", max_y))
.borders(Borders::TOP.union(Borders::RIGHT)),
)
.x_bounds([min_x, max_x])
.y_bounds([0.0, max_y])
.paint(|ctx| {
for (x, y) in &ping_ds {
ctx.draw(&Line {
x1: *x,
y1: 0.0,
x2: *x,
y2: *y,
color: Color::Yellow,
});
}
});
f.render_widget(canvas, right_column[0]);
draw_block_joins(
f,
right_column[0],
Borders::RIGHT.union(Borders::TOP),
Borders::TOP,
);
}
// ---- Render Network ----
{
let min_x = up_ds.first().map(|(x, _)| *x).unwrap_or(0.0);
let max_x = up_ds.last().map(|(x, _)| *x).unwrap_or(100.0);
let mut max_sum: f64 = 1.0;
for ((_, up), (_, down)) in up_ds.iter().zip(down_ds.iter()) {
max_sum = max_sum.max(up + down);
}
let canvas = Canvas::default()
.block(
Block::default()
.title("Network Up/Down")
.borders(Borders::TOP.union(Borders::RIGHT).union(Borders::BOTTOM)),
)
.x_bounds([min_x, max_x])
.y_bounds([0.0, max_sum])
.paint(|ctx| {
for (x, dval) in &down_ds {
ctx.draw(&Line {
x1: *x,
y1: 0.0,
x2: *x,
y2: *dval,
color: Color::Red,
});
}
for (x, uval) in &up_ds {
let dval = down_ds
.iter()
.find(|(xx, _)| (*xx - *x).abs() < f64::EPSILON)
.map(|(_, y)| *y)
.unwrap_or(0.0);
ctx.draw(&Line {
x1: *x,
y1: dval,
x2: *x,
y2: dval + *uval,
color: Color::Green,
});
}
});
f.render_widget(canvas, right_column[1]);
draw_block_joins(
f,
right_column[1],
Borders::TOP.union(Borders::RIGHT).union(Borders::BOTTOM),
Borders::TOP,
);
}
})
.unwrap();
});
}