extern crate csv; extern crate serde; extern crate structopt; #[macro_use] extern crate serde_derive; extern crate fnv; extern crate humantime; extern crate permutohedron; use core::cmp::Ordering; use fnv::{FnvHashMap, FnvHashSet}; use humantime::format_duration; use permutohedron::LexicalPermutation; use rstar::{PointDistance, RTree, RTreeObject, AABB}; use std::collections::VecDeque; use std::hash::{Hash, Hasher}; use std::io::Write; use std::path::PathBuf; use std::str::FromStr; use std::time::Instant; use structopt::StructOpt; #[derive(Debug, Deserialize)] struct Record { id: i64, star_type: String, name: String, mult: f32, x: f32, y: f32, z: f32, } #[derive(Debug, Clone)] struct System { id: i64, star_type: String, name: String, mult: f32, } #[derive(Debug, Clone, Copy)] struct Point { id: i64, x: f32, y: f32, z: f32, } #[derive(Debug)] enum Mode { BFS, Greedy, AStar, } impl FromStr for Mode { type Err = String; fn from_str(s: &str) -> Result { match s { "bfs" => Ok(Mode::BFS), "greedy" => Ok(Mode::Greedy), "astar" => Ok(Mode::AStar), _ => Err("Invalid Mode".to_string()), } } } #[derive(Debug, StructOpt)] #[structopt( name = "ed_lrr", about = "Elite: Dangerous Long-Range Router", rename_all = "kebab-case" )] /// Plots a route through multiple systems using breadth-first search (Currently needs a lot of RAM (about 6GB), sorry) struct Opt { #[structopt(short, long = "range")] /// Jump Range range: f32, #[structopt( parse(from_os_str), short = "f", long = "path", default_value = "./stars.csv" )] /// Path to stars.csv /// /// Generate using process.py (https://gitlab.com/Earthnuker/ed_lrr/raw/master/dumps/process.py) file_path: PathBuf, #[structopt(short = "p", long = "permute", conflicts_with = "full_permute")] /// Permute intermediate hops to find shortest route permute: bool, #[structopt(short = "fp", long = "full_permute", conflicts_with = "permute")] /// Permute all hops to find shortest route full_permute: bool, #[structopt(short = "g", long = "factor")] /// Greedyness factor for A-Star (0=BFS, inf=Greedy) factor: Option, #[structopt( short, long = "mode", raw(possible_values = "&[\"bfs\", \"greedy\",\"astar\"]") )] /// Search mode /// /** - BFS is guaranteed to find the shortest route but very slow - Greedy is a lot faster but will probably not find the shortest route - A-Star is a good middle ground between speed and accuracy */ mode: Mode, /// Systems to route through systems: Vec, } fn dist(p1: &[f32; 3], p2: &[f32; 3]) -> f32 { let dx = p1[0] - p2[0]; let dy = p1[1] - p2[1]; let dz = p1[2] - p2[2]; return (dx * dx + dy * dy + dz * dz).sqrt(); } fn fcmp(a: &f32, b: &f32) -> Ordering { match (a, b) { (x, y) if x.is_nan() && y.is_nan() => Ordering::Equal, (x, _) if x.is_nan() => Ordering::Greater, (_, y) if y.is_nan() => Ordering::Less, (..) => a.partial_cmp(&b).unwrap(), } } impl Point { pub fn dist2(&self, p: &[f32; 3]) -> f32 { let dx = self.x - p[0]; let dy = self.y - p[1]; let dz = self.z - p[2]; return dx * dx + dy * dy + dz * dz; } pub fn distp(&self, p: &Point) -> f32 { return self.distp2(p).sqrt(); } pub fn distp2(&self, p: &Point) -> f32 { return self.dist2(&[p.x, p.y, p.z]); } } impl PartialEq for Point { fn eq(&self, other: &Self) -> bool { self.id == other.id } } impl Eq for Point {} impl Hash for Point { fn hash(&self, state: &mut H) { self.id.hash(state); } } impl RTreeObject for Point { type Envelope = AABB<[f32; 3]>; fn envelope(&self) -> Self::Envelope { return AABB::from_point([self.x, self.y, self.z]); } } impl PointDistance for Point { fn distance_2(&self, point: &[f32; 3]) -> f32 { return self.dist2(&point); } } struct Router { tree: RTree, systems: FnvHashMap, scoopable: FnvHashSet, } impl Router { pub fn new(path: &PathBuf) -> Self { let mut scoopable = FnvHashSet::default(); let mut systems: FnvHashMap = FnvHashMap::default(); let mut reader = csv::ReaderBuilder::new() .has_headers(false) .from_path(path) .unwrap_or_else(|e| { println!("Error loading {}: {}", path.to_str().unwrap(), e); std::process::exit(1); }); println!("Loading {}...", path.to_str().unwrap()); let points = reader .deserialize() .map(|res: Result| { let sys = res.unwrap(); systems.insert( sys.id, System { id: sys.id, star_type: sys.star_type.clone(), name: sys.name, mult: sys.mult, }, ); if sys.mult > 1.0f32 { scoopable.insert(sys.id); } else { for c in "KGBFOAM".chars() { if sys.star_type.starts_with(c) { scoopable.insert(sys.id); break; } } } return Point { x: sys.x, y: sys.y, z: sys.z, id: sys.id, }; }) .collect(); return Self { tree: RTree::::bulk_load(points), systems, scoopable, }; } fn preload_points(&self) -> FnvHashMap { let mut ret = FnvHashMap::default(); for point in &self.tree { ret.insert(point.id, point); } return ret; } fn closest(&self, point: &[f32; 3]) -> &Point { return self.tree.nearest_neighbor(point).unwrap(); } fn points_in_sphere(&self, center: &[f32; 3], radius: f32) -> impl Iterator { return self.tree.locate_within_distance(*center, radius * radius); } fn mult(&self, id: i64) -> f32 { if let Some(sys) = self.systems.get(&id) { return sys.mult; }; return 1.0; } fn neighbours(&self, sys: &Point, r: f32) -> impl Iterator { return self.points_in_sphere(&[sys.x, sys.y, sys.z], self.mult(sys.id) * r); } fn valid(&self, sys: &Point) -> bool { return self.scoopable.contains(&sys.id); } pub fn best_name_multiroute( &self, waypoints: &Vec, range: f32, full: bool, mode: Mode, factor: f32, ) -> Vec<(&System, &Point)> { let mut best_score: f32 = std::f32::MAX; let mut waypoints = waypoints.clone(); let mut best_permutation_waypoints = waypoints.clone(); let first = waypoints.first().cloned(); let last = waypoints.last().cloned(); let t_start = Instant::now(); println!("Finding best permutation of hops..."); while waypoints.prev_permutation() {} loop { let c_first = waypoints.first().cloned(); let c_last = waypoints.last().cloned(); if full || ((c_first == first) && (c_last == last)) { let mut total_d = 0.0; for pair in waypoints.windows(2) { match pair { [src, dst] => { let (src, dst) = (self.name_to_point(&src), self.name_to_point(&dst)); total_d += src.distp2(dst); } _ => panic!("Invalid routing parameters!"), } } if total_d < best_score { best_score = total_d; best_permutation_waypoints = waypoints.clone(); } } if !waypoints.next_permutation() { break; } } println!("Done in {}!", format_duration(t_start.elapsed())); println!("Best permutation: {:?}", best_permutation_waypoints); return self.name_multiroute(&best_permutation_waypoints, range, mode, factor); } pub fn name_multiroute( &self, waypoints: &Vec, range: f32, mode: Mode, factor: f32, ) -> Vec<(&System, &Point)> { let mut coords = Vec::new(); for p in waypoints { let p = self.name_to_point(p); let s = [p.x, p.y, p.z]; coords.push(s); } return self.multiroute(coords.as_slice(), range, mode, factor); } pub fn multiroute( &self, waypoints: &[[f32; 3]], range: f32, mode: Mode, factor: f32, ) -> Vec<(&System, &Point)> { let mut route = Vec::new(); for pair in waypoints.windows(2) { match pair { &[src, dst] => { let block = match mode { Mode::BFS => self.route_bfs(&src, &dst, range), Mode::Greedy => self.route_greedy(&src, &dst, range), Mode::AStar => self.route_astar(&src, &dst, range, factor), }; if route.is_empty() { route.extend(block.iter()); } else { route.extend(block.iter().skip(1)); } } _ => panic!("Invalid routing parameters!"), } } return route; } fn sys_to_point(&self, id: i64) -> &Point { for p in &self.tree { if p.id == id { return p; } } eprintln!("Sytem-ID not found: \"{}\"", id); std::process::exit(1); } fn name_to_point(&self, name: &str) -> &Point { for sys in self.systems.values() { if sys.name == name { return self.sys_to_point(sys.id); } } eprintln!("Sytem not found: \"{}\"", name); std::process::exit(1); } pub fn route_astar( &self, src: &[f32; 3], dst: &[f32; 3], range: f32, factor: f32, ) -> Vec<(&System, &Point)> { if factor == 0.0 { return self.route_bfs(src, dst, range); } println!("Running A-Star with greedy factor of {}", factor); let start_sys = self.closest(src); let goal_sys = self.closest(dst); let start_sys_name = self.systems.get(&start_sys.id).unwrap().name.clone(); let goal_sys_name = self.systems.get(&goal_sys.id).unwrap().name.clone(); { let d = dist(src, dst); println!( "Plotting route from {} to {}...", start_sys_name, goal_sys_name ); println!( "Jump Range: {} Ly, Distance: {} Ly, Theoretical Jumps: {}", range, d, d / range ); } let total = self.tree.size() as f32; let mut prev = FnvHashMap::default(); let mut seen = FnvHashSet::default(); let t_start = Instant::now(); let mut found = false; let mut maxd = 0; let mut queue: Vec<(usize, usize, &Point)> = Vec::new(); queue.push(( 0, // depth (start_sys.distp(goal_sys) / range) as usize, // h &start_sys, )); seen.insert(start_sys.id); while !(queue.is_empty() || found) { while let Some((depth, _, sys)) = queue.pop() { if depth > maxd { maxd = depth; print!( "[{}] Depth: {}, Queue: {}, Seen: {} ({:.02}%) \r", format_duration(t_start.elapsed()), depth, queue.len(), seen.len(), ((seen.len() * 100) as f32) / total ); std::io::stdout().flush().unwrap(); } if sys.id == goal_sys.id { found = true; break; } queue.extend( self.neighbours(&sys, range) .filter(|&nb| (self.valid(nb) || (nb.id == goal_sys.id))) .filter(|&nb| seen.insert(nb.id)) .map(|nb| { prev.insert(nb.id, sys.id); let d_g = (nb.distp(goal_sys) / range) as usize; return (depth + 1, d_g, nb); }), ); queue.sort_by(|b, a| { let (a_0, a_1) = (a.0 as f32, a.1 as f32); let (b_0, b_1) = (b.0 as f32, b.1 as f32); let v_a = a_0 + a_1 * factor; let v_b = b_0 + b_1 * factor; return fcmp(&v_a, &v_b); }); // queue.reverse(); } } println!(); println!(); if !found { eprintln!( "No route from {} to {} found!", start_sys_name, goal_sys_name ); return Vec::new(); } let points = self.preload_points(); let mut v: Vec<(&System, &Point)> = Vec::new(); let mut prev_sys_id = goal_sys.id; loop { if let Some(sys) = self.systems.get(&prev_sys_id) { v.push((sys, points[&sys.id])); } else { break; }; match prev.get(&prev_sys_id) { Some(sys_id) => prev_sys_id = *sys_id, None => { break; } } } v.reverse(); return v; } pub fn route_greedy( &self, src: &[f32; 3], dst: &[f32; 3], range: f32, ) -> Vec<(&System, &Point)> { println!("Running Greedy-Search"); let start_sys = self.closest(src); let goal_sys = self.closest(dst); let start_sys_name = self.systems.get(&start_sys.id).unwrap().name.clone(); let goal_sys_name = self.systems.get(&goal_sys.id).unwrap().name.clone(); { let d = dist(src, dst); println!( "Plotting route from {} to {}...", start_sys_name, goal_sys_name ); println!( "Jump Range: {} Ly, Distance: {} Ly, Theoretical Jumps: {}", range, d, d / range ); } let total = self.tree.size() as f32; let mut prev = FnvHashMap::default(); let mut seen = FnvHashSet::default(); let t_start = Instant::now(); let mut found = false; let mut maxd = 0; let mut queue: Vec<(f32, f32, usize, &Point)> = Vec::new(); queue.push(( -self.mult(goal_sys.id), start_sys.distp2(goal_sys), 0, &start_sys, )); seen.insert(start_sys.id); while !(queue.is_empty() || found) { std::io::stdout().flush().unwrap(); while let Some((_, _, depth, sys)) = queue.pop() { if depth > maxd { maxd = depth; print!( "[{}] Depth: {}, Queue: {}, Seen: {} ({:.02}%) \r", format_duration(t_start.elapsed()), depth, queue.len(), seen.len(), ((seen.len() * 100) as f32) / total ); } if sys.id == goal_sys.id { found = true; break; } queue.extend( self.neighbours(&sys, range) .filter(|&nb| (self.valid(nb) || (nb.id == goal_sys.id))) .filter(|&nb| seen.insert(nb.id)) .map(|nb| { prev.insert(nb.id, sys.id); return (-self.mult(nb.id), nb.distp2(goal_sys), depth + 1, nb); }), ); queue.sort_by(|a, b| fcmp(&a.0, &b.0).then(fcmp(&a.1, &b.1))); queue.reverse(); } } println!(); if !found { eprintln!( "No route from {} to {} found!", start_sys_name, goal_sys_name ); return Vec::new(); } let points = self.preload_points(); let mut v: Vec<(&System, &Point)> = Vec::new(); let mut prev_sys_id = goal_sys.id; loop { if let Some(sys) = self.systems.get(&prev_sys_id) { v.push((sys, points[&sys.id])); } else { break; }; match prev.get(&prev_sys_id) { Some(sys_id) => prev_sys_id = *sys_id, None => { break; } } } v.reverse(); return v; } pub fn route_bfs(&self, src: &[f32; 3], dst: &[f32; 3], range: f32) -> Vec<(&System, &Point)> { println!("Running BFS"); let start_sys = self.closest(src); let goal_sys = self.closest(dst); let start_sys_name = self.systems.get(&start_sys.id).unwrap().name.clone(); let goal_sys_name = self.systems.get(&goal_sys.id).unwrap().name.clone(); { let d = dist(src, dst); println!( "Plotting route from {} to {}...", start_sys_name, goal_sys_name ); println!( "Jump Range: {} Ly, Distance: {} Ly, Theoretical Jumps: {}", range, d, d / range ); } let total = self.tree.size() as f32; let mut prev = FnvHashMap::default(); let mut seen = FnvHashSet::default(); let t_start = Instant::now(); let mut depth = 0; let mut found = false; let mut queue: VecDeque<(usize, &Point)> = VecDeque::new(); let mut queue_next: VecDeque<(usize, &Point)> = VecDeque::new(); queue.push_front((0, &start_sys)); seen.insert(start_sys.id); while !(queue.is_empty() || found) { print!( "[{}] Depth: {}, Queue: {}, Seen: {} ({:.02}%) \r", format_duration(t_start.elapsed()), depth, queue.len(), seen.len(), ((seen.len() * 100) as f32) / total ); std::io::stdout().flush().unwrap(); while let Some((d, sys)) = queue.pop_front() { if sys.id == goal_sys.id { found = true; break; } queue_next.extend( self.neighbours(&sys, range) .filter(|&nb| (self.valid(nb) || (nb.id == goal_sys.id))) .filter(|&nb| seen.insert(nb.id)) .map(|nb| { prev.insert(nb.id, sys.id); return (d + 1, nb); }), ); } std::mem::swap(&mut queue, &mut queue_next); depth += 1; } println!(); if !found { eprintln!( "No route from {} to {} found!", start_sys_name, goal_sys_name ); return Vec::new(); } let points = self.preload_points(); let mut v: Vec<(&System, &Point)> = Vec::new(); let mut prev_sys_id = goal_sys.id; loop { if let Some(sys) = self.systems.get(&prev_sys_id) { v.push((sys, points[&sys.id])); } else { break; }; match prev.get(&prev_sys_id) { Some(sys_id) => prev_sys_id = *sys_id, None => { break; } } } v.reverse(); return v; } } fn main() { let opts = Opt::from_args(); let path = opts.file_path; let t_load = Instant::now(); let router: Router = Router::new(&path); println!("Done in {}!", format_duration(t_load.elapsed())); let t_route = Instant::now(); let route = if opts.permute || opts.full_permute { router.best_name_multiroute( &opts.systems, opts.range, opts.full_permute, opts.mode, opts.factor.unwrap_or(1.0), ) } else { router.name_multiroute( &opts.systems, opts.range, opts.mode, opts.factor.unwrap_or(1.0), ) }; println!( "Done in {} ({} Jumps)!\n", format_duration(t_route.elapsed()), route.len(), ); if route.len() == 0 { eprintln!("No route found!"); return; } let mut total: f32 = 0.0; for ((sys1, p1), (_, p2)) in route.iter().zip(route.iter().skip(1)) { let dist = p1.distp(p2); total += dist; println!( "{} [{}] ({},{},{}): {:.2} Ly", sys1.name, sys1.star_type, p1.x, p1.y, p1.z, dist ); } let (sys, p) = route.iter().last().unwrap(); println!( "{} [{}] ({},{},{}): {:.2} Ly", sys.name, sys.star_type, p.x, p.y, p.z, 0.0 ); println!("Total: {:.2} Ly", total); }