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use std::{
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collections::HashMap,
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env,
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io::{BufRead, BufReader},
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ops::AddAssign,
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time::Instant,
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};
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use asd::{gfa::Entry, parser};
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use indicatif::ProgressIterator;
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use macroquad::{prelude::*, rand, ui::root_ui};
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use nalgebra::{Point2, SVector};
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use petgraph::{algo::dijkstra, graph::NodeIndex, stable_graph::StableGraph};
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use rayon::prelude::*;
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mod gd;
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#[macroquad::main("graphs_1")]
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async fn main() {
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println!("Hello, world!");
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let mut graph = load_graph();
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let mut desired_distance_matrix = HashMap::new();
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graph.node_indices().for_each(|idx| {
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desired_distance_matrix.insert(idx, dijkstra(&graph, idx, None, |_| 1.0 as f32));
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});
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// println!("{:?}", desired_distance_matrix);
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loop {
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// Update
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let start_update = Instant::now();
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update(&mut graph, &desired_distance_matrix);
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let update_elapsed = start_update.elapsed();
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// Render
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let start_render = Instant::now();
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clear_background(WHITE);
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draw_graph(&graph);
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let render_elapsed = start_render.elapsed();
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root_ui().label(
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None,
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format!("update: {:?}, render: {:?}", update_elapsed, render_elapsed).as_str(),
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);
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// println!("update: {:?}, render: {:?}", update_elapsed, render_elapsed);
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next_frame().await
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}
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}
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fn update(
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graph: &mut StableGraph<(String, Point2<f32>), ()>,
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desired_distance_matrix: &HashMap<NodeIndex, HashMap<NodeIndex, f32>>,
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) {
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for _ in 1..2 {
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let forces = graph
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.node_indices()
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.par_bridge()
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.map(|idx| {
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(
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idx,
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desired_distance_matrix
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.get(&idx)
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.unwrap()
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.par_iter()
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.map(|(&other_idx, &distance)| {
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let pos = graph.node_weight(idx).unwrap().1;
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let other_pos = graph.node_weight(other_idx).unwrap().1;
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let delta = other_pos - pos;
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let dist = delta.norm_squared();
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let correction = dist - (distance * distance);
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// println!("correction: {:?}", correction);
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if distance > 0.0 && dist > 1e-6 {
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0.01 * delta.normalize() * correction.atan()
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} else {
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SVector::<f32, 2>::zeros()
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}
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})
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.sum::<SVector<f32, 2>>()
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+ {
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let pos = graph.node_weight(idx).unwrap().1;
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let delta = pos - Point2::new(0.0, 0.0);
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let dist = delta.norm_squared();
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if dist > 1e-6 {
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-0.01 * delta.normalize() / dist.max(1.0)
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} else {
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SVector::<f32, 2>::zeros()
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}
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}
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+ graph
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.node_indices()
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.par_bridge()
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.filter(|&other_idx| other_idx != idx)
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.map(|other_idx| {
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let pos = graph.node_weight(idx).unwrap().1;
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let other_pos = graph.node_weight(other_idx).unwrap().1;
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let delta = other_pos - pos;
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let dist = delta.norm();
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if dist > 1e-3 {
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-0.001 * delta.normalize() / (dist * dist)
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} else {
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SVector::<f32, 2>::zeros()
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}
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})
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.sum::<SVector<f32, 2>>(),
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)
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})
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.collect::<HashMap<_, _>>();
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forces.iter().for_each(|(idx, force)| {
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let (_, pos) = graph.node_weight_mut(*idx).unwrap();
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pos.add_assign(force);
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});
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}
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}
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fn load_graph() -> StableGraph<(String, Point2<f32>), ()> {
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println!("Loading graph");
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let mut graph = StableGraph::new();
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let filename = env::args().nth(1).expect("missing gfa file argument");
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let file_lines_count = BufReader::new(std::fs::File::open(&filename).expect("file not found"))
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.lines()
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.progress_with(indicatif::ProgressBar::new_spinner())
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.count() as u64;
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let file = std::fs::File::open(filename).unwrap();
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let entries = parser::parse_source(file, file_lines_count).unwrap();
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let mut index_map = HashMap::new();
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let node_count = entries
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.iter()
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.filter_map(|entry| match entry {
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Entry::Segment { id, .. } => Some(id),
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_ => None,
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})
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.count();
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println!("Node count: {}", node_count);
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let radius = (node_count as f32).sqrt();
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let mut i = -10.0;
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for entry in entries
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.iter()
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.filter(|entry| matches!(entry, Entry::Link { .. }))
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.take(3000)
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{
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// println!("{:?}", entry);
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if let Entry::Link {
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from,
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from_orient,
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to,
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to_orient,
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} = entry
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{
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// add first node if not present
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let a = index_map
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.entry(from.clone())
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.or_insert_with(|| {
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i += 1.0;
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graph.add_node((
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format!("{}{}", from, from_orient),
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Point2::new(rand::gen_range(0.0, radius), rand::gen_range(0.0, radius)),
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// Point2::new(i, 50.0 + rand::gen_range(0.0, 100.0)),
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))
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})
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.to_owned();
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// add second node if not present
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let b = index_map
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.entry(to.clone())
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.or_insert_with(|| {
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i += 1.0;
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graph.add_node((
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format!("{}{}", from, to_orient),
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Point2::new(rand::gen_range(0.0, radius), rand::gen_range(0.0, radius)),
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// Point2::new(i, 50.0 + rand::gen_range(0.0, 100.0)),
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))
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})
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.to_owned();
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graph.add_edge(a, b, ());
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graph.add_edge(b, a, ());
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}
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}
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println!("Loading completed");
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graph
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}
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fn draw_graph(graph: &StableGraph<(String, Point2<f32>), ()>) {
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let (width, height) = (screen_width(), screen_height());
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let (min_x, max_x) = graph
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.node_weights()
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.map(|(_, pos)| pos.x)
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.fold((f32::INFINITY, f32::NEG_INFINITY), |(min, max), x| {
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(min.min(x), max.max(x))
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});
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let (min_y, max_y) = graph
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.node_weights()
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.map(|(_, pos)| pos.y)
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.fold((f32::INFINITY, f32::NEG_INFINITY), |(min, max), y| {
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(min.min(y), max.max(y))
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});
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let source_range: f32 = (max_x - min_x).max(max_y - min_y);
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for idx in graph.edge_indices() {
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let ((_, source), (_, target)) = graph
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.edge_endpoints(idx)
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.map(|(a, b)| (graph.node_weight(a).unwrap(), graph.node_weight(b).unwrap()))
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.unwrap();
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draw_line(
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remap(source.x, min_x, min_x + source_range, 10.0, width - 10.0),
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remap(source.y, min_y, min_y + source_range, 10.0, height - 10.0),
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remap(target.x, min_x, min_x + source_range, 10.0, width - 10.0),
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remap(target.y, min_y, min_y + source_range, 10.0, height - 10.0),
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1.0,
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BLACK,
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);
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}
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for (_label, pos) in graph.node_weights() {
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let x = remap(pos.x, min_x, min_x + source_range, 10.0, width - 10.0);
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let y = remap(pos.y, min_y, min_y + source_range, 10.0, height - 10.0);
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draw_circle(x, y, 2.0, RED);
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// draw_text(label.as_str(), x - 30.0, y - 30.0, 10.0, BLACK);
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}
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draw_line(
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remap(0.0, min_x, min_x + source_range, 10.0, width - 10.0),
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remap(0.0, min_y, min_y + source_range, 10.0, height - 10.0),
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remap(100.0, min_x, min_x + source_range, 10.0, width - 10.0),
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remap(0.0, min_y, min_y + source_range, 10.0, height - 10.0),
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2.0,
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BLUE,
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);
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draw_line(
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remap(0.0, min_x, min_x + source_range, 10.0, width - 10.0),
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remap(0.0, min_y, min_y + source_range, 10.0, height - 10.0),
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remap(0.0, min_x, min_x + source_range, 10.0, width - 10.0),
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remap(100.0, min_y, min_y + source_range, 10.0, height - 10.0),
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2.0,
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BLUE,
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);
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}
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fn remap(value: f32, from_min: f32, from_max: f32, to_min: f32, to_max: f32) -> f32 {
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(value - from_min) / (from_max - from_min) * (to_max - to_min) + to_min
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}
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