veloren/world/src/civ/mod.rs
2020-04-23 18:19:40 +01:00

288 lines
9.4 KiB
Rust

use std::ops::Range;
use hashbrown::{HashMap, HashSet};
use vek::*;
use rand::prelude::*;
use common::{
terrain::TerrainChunkSize,
vol::RectVolSize,
store::{Id, Store},
path::Path,
astar::Astar,
};
use crate::sim::WorldSim;
const CARDINALS: [Vec2<i32>; 4] = [
Vec2::new(1, 0),
Vec2::new(-1, 0),
Vec2::new(0, 1),
Vec2::new(0, -1),
];
const DIAGONALS: [Vec2<i32>; 8] = [
Vec2::new(1, 0),
Vec2::new(1, 1),
Vec2::new(-1, 0),
Vec2::new(-1, 1),
Vec2::new(0, 1),
Vec2::new(1, -1),
Vec2::new(0, -1),
Vec2::new(-1, -1),
];
fn attempt<T>(max_iters: usize, mut f: impl FnMut() -> Option<T>) -> Option<T> {
(0..max_iters).find_map(|_| f())
}
const INITIAL_CIV_COUNT: usize = 20;
#[derive(Default)]
pub struct Civs {
civs: Store<Civ>,
places: Store<Place>,
tracks: Store<Track>,
track_map: HashMap<Id<Place>, HashMap<Id<Place>, Id<Track>>>,
}
struct GenCtx<'a, R: Rng> {
sim: &'a mut WorldSim,
rng: &'a mut R,
}
impl Civs {
pub fn generate(seed: u32, sim: &mut WorldSim) -> Self {
let mut this = Self::default();
let mut rng = sim.rng.clone();
let mut ctx = GenCtx { sim, rng: &mut rng };
for _ in 0..INITIAL_CIV_COUNT {
if let Some(civ) = this.birth_civ(&mut ctx) {
println!("Initial civilisation: {:#?}", this.civs.get(civ));
} else {
println!("Failed to find starting site");
}
}
// Temporary!
for track in this.tracks.iter() {
for loc in track.path.iter() {
sim.get_mut(*loc).unwrap().place = Some(this.civs.iter().next().unwrap().homeland);
}
}
this
}
/// Return the direct track between two places
fn track_between(&self, a: Id<Place>, b: Id<Place>) -> Option<Id<Track>> {
self.track_map
.get(&a)
.and_then(|dests| dests.get(&b))
.or_else(|| self.track_map
.get(&b)
.and_then(|dests| dests.get(&a)))
.copied()
}
/// Find the cheapest route between two places
fn route_between(&self, a: Id<Place>, b: Id<Place>) -> Option<(Path<Id<Place>>, f32)> {
let heuristic = move |p: &Id<Place>| (self.places.get(*p).center.distance_squared(self.places.get(b).center) as f32).sqrt();
let neighbors = |p: &Id<Place>| {
let p = *p;
let to = self.track_map.get(&p).map(|dests| dests.keys()).into_iter().flatten();
let fro = self.track_map.iter().filter(move |(_, dests)| dests.contains_key(&p)).map(|(p, _)| p);
to.chain(fro).filter(|p| **p != a).copied()
};
let transition = |a: &Id<Place>, b: &Id<Place>| self.tracks.get(self.track_between(*a, *b).unwrap()).cost;
let satisfied = |p: &Id<Place>| *p == b;
let mut astar = Astar::new(100, a, heuristic);
astar
.poll(100, heuristic, neighbors, transition, satisfied)
.into_path()
.and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost)))
}
fn birth_civ(&mut self, ctx: &mut GenCtx<impl Rng>) -> Option<Id<Civ>> {
const CIV_BIRTHPLACE_AREA: Range<usize> = 64..256;
let place = attempt(5, || {
let loc = find_site_loc(ctx, None)?;
self.establish_place(ctx, loc, CIV_BIRTHPLACE_AREA)
})?;
let civ = self.civs.insert(Civ {
homeland: place,
});
Some(civ)
}
fn establish_place(&mut self, ctx: &mut GenCtx<impl Rng>, loc: Vec2<i32>, area: Range<usize>) -> Option<Id<Place>> {
let mut dead = HashSet::new();
let mut alive = HashSet::new();
alive.insert(loc);
// Fill the surrounding area
while let Some(cloc) = alive.iter().choose(ctx.rng).copied() {
for dir in CARDINALS.iter() {
if site_in_dir(&ctx.sim, cloc, *dir) {
let rloc = cloc + *dir;
if !dead.contains(&rloc) && ctx.sim.get(rloc).map(|c| c.place.is_none()).unwrap_or(false) {
alive.insert(rloc);
}
}
}
alive.remove(&cloc);
dead.insert(cloc);
if dead.len() + alive.len() >= area.end {
break;
}
}
// Make sure the place is large enough
if dead.len() + alive.len() <= area.start {
return None;
}
let place = self.places.insert(Place {
center: loc,
});
// Find neighbors
const MAX_NEIGHBOR_DISTANCE: f32 = 250.0;
let mut nearby = self.places
.iter_ids()
.map(|(id, p)| (id, (p.center.distance_squared(loc) as f32).sqrt()))
.filter(|(p, dist)| *dist < MAX_NEIGHBOR_DISTANCE)
.collect::<Vec<_>>();
nearby.sort_by_key(|(_, dist)| *dist as i32);
for (nearby, _) in nearby.into_iter().take(ctx.rng.gen_range(3, 5)) {
// Find a novel path
if let Some((path, cost)) = find_path(ctx, loc, self.places.get(nearby).center) {
// Find a path using existing paths
if self
.route_between(place, nearby)
// If the novel path isn't efficient compared to existing routes, don't use it
.filter(|(_, route_cost)| *route_cost < cost * 3.0)
.is_none()
{
let track = self.tracks.insert(Track {
cost,
path,
});
self.track_map
.entry(place)
.or_default()
.insert(nearby, track);
}
}
}
// Write place to map
for cell in dead.union(&alive) {
if let Some(chunk) = ctx.sim.get_mut(*cell) {
chunk.place = Some(place);
}
}
Some(place)
}
}
/// Attempt to find a path between two locations
fn find_path(ctx: &mut GenCtx<impl Rng>, a: Vec2<i32>, b: Vec2<i32>) -> Option<(Path<Vec2<i32>>, f32)> {
let sim = &ctx.sim;
let heuristic = move |l: &Vec2<i32>| (l.distance_squared(b) as f32).sqrt();
let neighbors = |l: &Vec2<i32>| {
let l = *l;
DIAGONALS.iter().filter(move |dir| walk_in_dir(sim, l, **dir).is_some()).map(move |dir| l + *dir)
};
let transition = |a: &Vec2<i32>, b: &Vec2<i32>| 1.0 + walk_in_dir(sim, *a, *b - *a).unwrap_or(10000.0);
let satisfied = |l: &Vec2<i32>| *l == b;
let mut astar = Astar::new(20000, a, heuristic);
astar
.poll(20000, heuristic, neighbors, transition, satisfied)
.into_path()
.and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost)))
}
/// Return true if travel between a location and a chunk next to it is permitted (TODO: by whom?)
fn walk_in_dir(sim: &WorldSim, a: Vec2<i32>, dir: Vec2<i32>) -> Option<f32> {
if loc_suitable_for_walking(sim, a) &&
loc_suitable_for_walking(sim, a + dir)
{
let a_alt = sim.get(a)?.alt;
let b_alt = sim.get(a + dir)?.alt;
Some(0.5 + (b_alt - a_alt).max(-0.5).abs() / 5.0)
} else {
None
}
}
/// Return true if a position is suitable for walking on
fn loc_suitable_for_walking(sim: &WorldSim, loc: Vec2<i32>) -> bool {
if let Some(chunk) = sim.get(loc) {
!chunk.river.is_ocean() && !chunk.river.is_lake()
} else {
false
}
}
/// Return true if a site could be constructed between a location and a chunk next to it is permitted (TODO: by whom?)
fn site_in_dir(sim: &WorldSim, a: Vec2<i32>, dir: Vec2<i32>) -> bool {
loc_suitable_for_site(sim, a) &&
loc_suitable_for_site(sim, a + dir)
}
/// Return true if a position is suitable for site construction (TODO: criteria?)
fn loc_suitable_for_site(sim: &WorldSim, loc: Vec2<i32>) -> bool {
if let Some(chunk) = sim.get(loc) {
!chunk.is_underwater() &&
sim.get_gradient_approx(loc).map(|grad| grad < 1.0).unwrap_or(false)
} else {
false
}
}
/// Attempt to search for a location that's suitable for site construction
fn find_site_loc(ctx: &mut GenCtx<impl Rng>, near: Option<(Vec2<i32>, f32)>) -> Option<Vec2<i32>> {
const MAX_ATTEMPTS: usize = 100;
let mut loc = None;
for _ in 0..MAX_ATTEMPTS {
let test_loc = loc.unwrap_or_else(|| match near {
Some((origin, dist)) => origin + (Vec2::new(
ctx.rng.gen_range(-1.0, 1.0),
ctx.rng.gen_range(-1.0, 1.0),
).try_normalized().unwrap_or(Vec2::zero()) * ctx.rng.gen::<f32>() * dist).map(|e| e as i32),
None => Vec2::new(
ctx.rng.gen_range(0, ctx.sim.get_size().x as i32),
ctx.rng.gen_range(0, ctx.sim.get_size().y as i32),
),
});
if loc_suitable_for_site(&ctx.sim, test_loc) {
return Some(test_loc);
}
loc = ctx.sim.get(test_loc).and_then(|c| Some(c.downhill?.map2(Vec2::from(TerrainChunkSize::RECT_SIZE), |e, sz: u32| {
e / (sz as i32)
})));
}
None
}
#[derive(Debug)]
pub struct Civ {
homeland: Id<Place>,
}
pub struct Place {
center: Vec2<i32>,
}
pub struct Track {
/// Cost of using this track relative to other paths. This cost is an arbitrary unit and
/// doesn't make sense unless compared to other track costs.
cost: f32,
path: Path<Vec2<i32>>,
}