2020-03-28 18:16:19 +00:00
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mod econ;
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2020-03-27 13:16:02 +00:00
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use std::ops::Range;
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use hashbrown::{HashMap, HashSet};
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use vek::*;
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use rand::prelude::*;
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use common::{
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terrain::TerrainChunkSize,
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vol::RectVolSize,
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store::{Id, Store},
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path::Path,
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astar::Astar,
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};
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2020-03-27 23:06:23 +00:00
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use crate::sim::{WorldSim, SimChunk};
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2020-03-27 13:16:02 +00:00
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const CARDINALS: [Vec2<i32>; 4] = [
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Vec2::new(1, 0),
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Vec2::new(-1, 0),
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Vec2::new(0, 1),
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Vec2::new(0, -1),
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];
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const DIAGONALS: [Vec2<i32>; 8] = [
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Vec2::new(1, 0),
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Vec2::new(1, 1),
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Vec2::new(-1, 0),
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Vec2::new(-1, 1),
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Vec2::new(0, 1),
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Vec2::new(1, -1),
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Vec2::new(0, -1),
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Vec2::new(-1, -1),
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];
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fn attempt<T>(max_iters: usize, mut f: impl FnMut() -> Option<T>) -> Option<T> {
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(0..max_iters).find_map(|_| f())
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}
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2020-03-28 18:16:19 +00:00
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const INITIAL_CIV_COUNT: usize = 32;
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2020-03-27 13:16:02 +00:00
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#[derive(Default)]
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pub struct Civs {
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civs: Store<Civ>,
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places: Store<Place>,
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2020-03-27 23:06:23 +00:00
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2020-03-27 18:52:28 +00:00
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tracks: Store<Track>,
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2020-03-27 23:06:23 +00:00
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track_map: HashMap<Id<Site>, HashMap<Id<Site>, Id<Track>>>,
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sites: Store<Site>,
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2020-03-27 13:16:02 +00:00
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}
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2020-03-28 18:16:19 +00:00
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pub struct GenCtx<'a, R: Rng> {
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2020-03-27 13:16:02 +00:00
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sim: &'a mut WorldSim,
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rng: &'a mut R,
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}
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impl Civs {
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pub fn generate(seed: u32, sim: &mut WorldSim) -> Self {
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let mut this = Self::default();
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let mut rng = sim.rng.clone();
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let mut ctx = GenCtx { sim, rng: &mut rng };
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for _ in 0..INITIAL_CIV_COUNT {
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2020-03-27 23:06:23 +00:00
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println!("Creating civilisation...");
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if let None = this.birth_civ(&mut ctx) {
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println!("Failed to find starting site for civilisation.");
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2020-03-27 13:16:02 +00:00
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}
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}
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2020-03-27 23:06:23 +00:00
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// Tick
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2020-03-28 18:16:19 +00:00
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const SIM_YEARS: usize = 1000;
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2020-03-27 23:06:23 +00:00
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for _ in 0..SIM_YEARS {
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2020-03-28 18:16:19 +00:00
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this.tick(&mut ctx, 1.0);
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2020-03-27 23:06:23 +00:00
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}
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2020-03-27 13:16:02 +00:00
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// Temporary!
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2020-03-27 18:52:28 +00:00
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for track in this.tracks.iter() {
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for loc in track.path.iter() {
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2020-03-27 13:16:02 +00:00
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sim.get_mut(*loc).unwrap().place = Some(this.civs.iter().next().unwrap().homeland);
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}
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}
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2020-03-27 23:06:23 +00:00
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this.display_info();
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2020-03-27 13:16:02 +00:00
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this
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}
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2020-03-27 23:06:23 +00:00
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pub fn place(&self, id: Id<Place>) -> &Place { self.places.get(id) }
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2020-03-28 18:16:19 +00:00
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pub fn sites(&self) -> impl Iterator<Item=&Site> + '_ {
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self.sites.iter()
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}
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2020-03-27 23:06:23 +00:00
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fn display_info(&self) {
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for (id, civ) in self.civs.iter_ids() {
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println!("# Civilisation {:?}", id);
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println!("Name: {}", "<unnamed>");
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println!("Homeland: {:#?}", self.places.get(civ.homeland));
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}
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for (id, site) in self.sites.iter_ids() {
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println!("# Site {:?}", id);
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2020-03-28 18:16:19 +00:00
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println!("{:#?}", site);
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2020-03-27 23:06:23 +00:00
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}
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}
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2020-03-27 18:52:28 +00:00
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/// Return the direct track between two places
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2020-03-27 23:06:23 +00:00
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fn track_between(&self, a: Id<Site>, b: Id<Site>) -> Option<Id<Track>> {
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2020-03-27 18:52:28 +00:00
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self.track_map
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.get(&a)
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.and_then(|dests| dests.get(&b))
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.or_else(|| self.track_map
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.get(&b)
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.and_then(|dests| dests.get(&a)))
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.copied()
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}
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2020-03-27 23:06:23 +00:00
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/// Return an iterator over a site's neighbors
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fn neighbors(&self, site: Id<Site>) -> impl Iterator<Item=Id<Site>> + '_ {
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let to = self.track_map.get(&site).map(|dests| dests.keys()).into_iter().flatten();
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let fro = self.track_map.iter().filter(move |(_, dests)| dests.contains_key(&site)).map(|(p, _)| p);
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to.chain(fro).filter(move |p| **p != site).copied()
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}
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2020-03-27 18:52:28 +00:00
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/// Find the cheapest route between two places
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2020-03-27 23:06:23 +00:00
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fn route_between(&self, a: Id<Site>, b: Id<Site>) -> Option<(Path<Id<Site>>, f32)> {
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let heuristic = move |p: &Id<Site>| (self.sites.get(*p).center.distance_squared(self.sites.get(b).center) as f32).sqrt();
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let neighbors = |p: &Id<Site>| self.neighbors(*p);
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let transition = |a: &Id<Site>, b: &Id<Site>| self.tracks.get(self.track_between(*a, *b).unwrap()).cost;
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let satisfied = |p: &Id<Site>| *p == b;
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2020-03-27 18:52:28 +00:00
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let mut astar = Astar::new(100, a, heuristic);
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astar
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.poll(100, heuristic, neighbors, transition, satisfied)
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.into_path()
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.and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost)))
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}
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2020-03-27 13:16:02 +00:00
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fn birth_civ(&mut self, ctx: &mut GenCtx<impl Rng>) -> Option<Id<Civ>> {
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2020-03-27 23:06:23 +00:00
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let site = attempt(5, || {
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2020-03-27 13:16:02 +00:00
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let loc = find_site_loc(ctx, None)?;
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2020-03-28 18:16:19 +00:00
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self.establish_site(ctx, loc, SiteKind::Settlement(Settlement::civ_birthplace()))
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2020-03-27 13:16:02 +00:00
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})?;
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let civ = self.civs.insert(Civ {
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2020-03-27 23:06:23 +00:00
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capital: site,
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homeland: self.sites.get(site).place,
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2020-03-27 13:16:02 +00:00
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});
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Some(civ)
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}
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fn establish_place(&mut self, ctx: &mut GenCtx<impl Rng>, loc: Vec2<i32>, area: Range<usize>) -> Option<Id<Place>> {
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let mut dead = HashSet::new();
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let mut alive = HashSet::new();
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alive.insert(loc);
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// Fill the surrounding area
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while let Some(cloc) = alive.iter().choose(ctx.rng).copied() {
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for dir in CARDINALS.iter() {
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if site_in_dir(&ctx.sim, cloc, *dir) {
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let rloc = cloc + *dir;
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if !dead.contains(&rloc) && ctx.sim.get(rloc).map(|c| c.place.is_none()).unwrap_or(false) {
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alive.insert(rloc);
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}
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}
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}
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alive.remove(&cloc);
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dead.insert(cloc);
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if dead.len() + alive.len() >= area.end {
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break;
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}
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}
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// Make sure the place is large enough
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if dead.len() + alive.len() <= area.start {
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return None;
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}
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2020-03-27 18:52:28 +00:00
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let place = self.places.insert(Place {
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center: loc,
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2020-03-27 23:06:23 +00:00
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nat_res: NaturalResources::default(),
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});
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// Write place to map
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for cell in dead.union(&alive) {
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if let Some(chunk) = ctx.sim.get_mut(*cell) {
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chunk.place = Some(place);
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self.places.get_mut(place).nat_res.include_chunk(ctx, *cell);
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}
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}
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Some(place)
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}
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fn establish_site(&mut self, ctx: &mut GenCtx<impl Rng>, loc: Vec2<i32>, kind: SiteKind) -> Option<Id<Site>> {
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const SITE_AREA: Range<usize> = 64..256;
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let place = match ctx.sim.get(loc).and_then(|site| site.place) {
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Some(place) => place,
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None => self.establish_place(ctx, loc, SITE_AREA)?,
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};
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let site = self.sites.insert(Site {
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kind,
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center: loc,
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place: place,
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2020-03-27 18:52:28 +00:00
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});
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2020-03-27 13:16:02 +00:00
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// Find neighbors
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2020-03-27 18:52:28 +00:00
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const MAX_NEIGHBOR_DISTANCE: f32 = 250.0;
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2020-03-27 23:06:23 +00:00
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let mut nearby = self.sites
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2020-03-27 13:16:02 +00:00
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.iter_ids()
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.map(|(id, p)| (id, (p.center.distance_squared(loc) as f32).sqrt()))
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.filter(|(p, dist)| *dist < MAX_NEIGHBOR_DISTANCE)
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.collect::<Vec<_>>();
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2020-03-27 18:52:28 +00:00
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nearby.sort_by_key(|(_, dist)| *dist as i32);
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2020-03-28 18:16:19 +00:00
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for (nearby, _) in nearby.into_iter() {
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2020-03-27 18:52:28 +00:00
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// Find a novel path
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2020-03-27 23:06:23 +00:00
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if let Some((path, cost)) = find_path(ctx, loc, self.sites.get(nearby).center) {
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2020-03-27 18:52:28 +00:00
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// Find a path using existing paths
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if self
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2020-03-27 23:06:23 +00:00
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.route_between(site, nearby)
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2020-03-27 18:52:28 +00:00
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// If the novel path isn't efficient compared to existing routes, don't use it
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.filter(|(_, route_cost)| *route_cost < cost * 3.0)
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.is_none()
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{
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let track = self.tracks.insert(Track {
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cost,
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path,
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});
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self.track_map
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2020-03-27 23:06:23 +00:00
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.entry(site)
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2020-03-27 18:52:28 +00:00
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.or_default()
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.insert(nearby, track);
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}
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}
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2020-03-27 13:16:02 +00:00
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}
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2020-03-27 23:06:23 +00:00
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Some(site)
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}
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2020-03-28 18:16:19 +00:00
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fn tick(&mut self, ctx: &mut GenCtx<impl Rng>, years: f32) {
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// Collect stocks
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for site in self.sites.iter_mut() {
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if let SiteKind::Settlement(s) = &mut site.kind {
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s.collect_stocks(years, &self.places.get(site.place).nat_res);
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}
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}
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// Trade stocks
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let mut stocks = [FOOD, WOOD, ROCK];
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stocks.shuffle(ctx.rng); // Give each stock a chance to be traded first
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for stock in stocks.iter().copied() {
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let mut sell_orders = self.sites
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.iter_ids()
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.filter_map(|(id, site)| site.as_settlement().map(|s| (id, s)))
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.map(|(id, settlement)| (id, econ::SellOrder {
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quantity: settlement.trade_states[stock].surplus.min(settlement.stocks[stock]),
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price: settlement.trade_states[stock].sell_belief.choose_price(ctx),
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q_sold: 0.0,
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}))
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.filter(|(_, order)| order.quantity > 0.0)
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.collect::<Vec<_>>();
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let mut sites = self.sites
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.ids()
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.filter(|id| self.sites.get(*id).as_settlement().is_some())
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.collect::<Vec<_>>();
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sites.shuffle(ctx.rng); // Give all sites a chance to buy first
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for site in sites {
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let (max_spend, max_price) = {
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let settlement = self.sites.get(site).as_settlement().unwrap();
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(
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settlement.trade_states[stock].purchase_priority * settlement.coin,
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settlement.trade_states[stock].buy_belief.price,
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)
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};
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let (quantity, spent) = econ::buy_units(ctx, sell_orders
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.iter_mut()
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.filter(|(id, _)| site != *id && self.track_between(site, *id).is_some())
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.map(|(_, order)| order),
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1000000.0, // Max quantity TODO
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1000000.0, // Max price TODO
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max_spend,
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);
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let mut settlement = self.sites.get_mut(site).as_settlement_mut().unwrap();
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settlement.coin -= spent;
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if quantity > 0.0 {
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settlement.stocks[stock] += quantity;
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settlement.trade_states[stock].buy_belief.update_buyer(years, spent / quantity);
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println!("Belief: {:?}", settlement.trade_states[stock].buy_belief);
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}
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}
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for (site, order) in sell_orders {
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let mut settlement = self.sites.get_mut(site).as_settlement_mut().unwrap();
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settlement.coin += order.q_sold * order.price;
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if order.q_sold > 0.0 {
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settlement.stocks[stock] -= order.q_sold;
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settlement.trade_states[stock].sell_belief.update_seller(order.q_sold / order.quantity);
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}
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}
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}
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// Trade stocks
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/*
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let mut sites = self.sites.ids().collect::<Vec<_>>();
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sites.shuffle(ctx.rng); // Give all sites a chance to buy first
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for site in sites {
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let mut stocks = [FOOD, WOOD, ROCK];
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stocks.shuffle(ctx.rng); // Give each stock a chance to be traded first
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for stock in stocks.iter().copied() {
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if self.sites.get(site).as_settlement().is_none() {
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continue;
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}
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|
|
|
|
let settlement = self.sites.get(site).as_settlement().unwrap();
|
|
|
|
let quantity_to_buy = settlement.trade_states[stock].buy_q;
|
|
|
|
let mut bought_quantity = 0.0;
|
|
|
|
let mut coin = settlement.coin;
|
|
|
|
drop(settlement);
|
|
|
|
let mut sell_orders = self
|
|
|
|
.neighbors(site)
|
|
|
|
.collect::<Vec<_>>()
|
|
|
|
.into_iter()
|
|
|
|
.filter_map(|n| self.sites.get(n).as_settlement().map(|s| (n, s)))
|
|
|
|
.map(|(n, neighbor)| {
|
|
|
|
// TODO: Add speculation, don't use the domestic value to rationalise price
|
|
|
|
let trade_state = &neighbor.trade_states[stock];
|
|
|
|
let sell_q = trade_state.sell_q.min(neighbor.stocks[stock]);
|
|
|
|
(n, trade_state.domestic_value, sell_q)
|
|
|
|
})
|
|
|
|
.collect::<Vec<_>>();
|
|
|
|
sell_orders.sort_by_key(|(_, price, _)| (*price * 1000.0) as i64);
|
|
|
|
|
|
|
|
for (n, price, sell_q) in sell_orders {
|
|
|
|
if bought_quantity >= quantity_to_buy {
|
|
|
|
break;
|
|
|
|
} else {
|
|
|
|
let buy_quantity = (quantity_to_buy - bought_quantity).min(sell_q).min(coin / price);
|
|
|
|
let payment = buy_quantity * price;
|
|
|
|
bought_quantity += buy_quantity;
|
|
|
|
coin -= payment;
|
|
|
|
let mut neighbor = self.sites.get_mut(n).as_settlement_mut().unwrap();
|
|
|
|
neighbor.stocks[stock] -= buy_quantity;
|
|
|
|
neighbor.coin += payment;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
let mut settlement = self.sites.get_mut(site).as_settlement_mut().unwrap();
|
|
|
|
settlement.stocks[stock] += bought_quantity;
|
|
|
|
settlement.coin = coin;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
*/
|
|
|
|
|
|
|
|
// Consume stocks
|
2020-03-27 23:06:23 +00:00
|
|
|
for site in self.sites.iter_mut() {
|
2020-03-28 18:16:19 +00:00
|
|
|
if let SiteKind::Settlement(s) = &mut site.kind {
|
|
|
|
s.consume_stocks(years);
|
2020-03-27 13:16:02 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Attempt to find a path between two locations
|
2020-03-27 18:52:28 +00:00
|
|
|
fn find_path(ctx: &mut GenCtx<impl Rng>, a: Vec2<i32>, b: Vec2<i32>) -> Option<(Path<Vec2<i32>>, f32)> {
|
2020-03-27 13:16:02 +00:00
|
|
|
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;
|
2020-03-27 18:52:28 +00:00
|
|
|
let mut astar = Astar::new(20000, a, heuristic);
|
|
|
|
astar
|
|
|
|
.poll(20000, heuristic, neighbors, transition, satisfied)
|
2020-03-27 13:16:02 +00:00
|
|
|
.into_path()
|
2020-03-27 18:52:28 +00:00
|
|
|
.and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost)))
|
2020-03-27 13:16:02 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
/// 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;
|
2020-03-27 23:06:23 +00:00
|
|
|
Some((b_alt - a_alt).abs() / 2.5)
|
2020-03-27 13:16:02 +00:00
|
|
|
} 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) {
|
2020-03-27 23:06:23 +00:00
|
|
|
!chunk.river.is_ocean() &&
|
|
|
|
!chunk.river.is_lake() &&
|
2020-03-27 13:16:02 +00:00
|
|
|
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 {
|
2020-03-27 23:06:23 +00:00
|
|
|
capital: Id<Site>,
|
2020-03-27 13:16:02 +00:00
|
|
|
homeland: Id<Place>,
|
|
|
|
}
|
|
|
|
|
2020-03-27 23:06:23 +00:00
|
|
|
#[derive(Debug)]
|
2020-03-27 13:16:02 +00:00
|
|
|
pub struct Place {
|
|
|
|
center: Vec2<i32>,
|
2020-03-27 23:06:23 +00:00
|
|
|
nat_res: NaturalResources,
|
|
|
|
}
|
|
|
|
|
|
|
|
// Productive capacity per year
|
|
|
|
#[derive(Default, Debug)]
|
|
|
|
pub struct NaturalResources {
|
|
|
|
wood: f32,
|
|
|
|
stone: f32,
|
|
|
|
river: f32,
|
|
|
|
farmland: f32,
|
|
|
|
}
|
|
|
|
|
|
|
|
impl NaturalResources {
|
|
|
|
fn include_chunk(&mut self, ctx: &mut GenCtx<impl Rng>, loc: Vec2<i32>) {
|
|
|
|
let chunk = if let Some(chunk) = ctx.sim.get(loc) { chunk } else { return };
|
|
|
|
|
|
|
|
self.wood += chunk.tree_density;
|
|
|
|
self.stone += chunk.rockiness;
|
|
|
|
self.river += if chunk.river.is_river() { 1.0 } else { 0.0 };
|
|
|
|
self.farmland += if
|
|
|
|
chunk.humidity > 0.35 &&
|
|
|
|
chunk.temp > -0.3 && chunk.temp < 0.75 &&
|
|
|
|
chunk.chaos < 0.5 &&
|
|
|
|
ctx.sim.get_gradient_approx(loc).map(|grad| grad < 0.7).unwrap_or(false)
|
|
|
|
{ 1.0 } else { 0.0 };
|
|
|
|
}
|
2020-03-27 13:16:02 +00:00
|
|
|
}
|
|
|
|
|
2020-03-27 18:52:28 +00:00
|
|
|
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,
|
2020-03-27 13:16:02 +00:00
|
|
|
path: Path<Vec2<i32>>,
|
|
|
|
}
|
2020-03-27 23:06:23 +00:00
|
|
|
|
|
|
|
#[derive(Debug)]
|
|
|
|
pub struct Site {
|
|
|
|
kind: SiteKind,
|
|
|
|
center: Vec2<i32>,
|
2020-03-28 18:16:19 +00:00
|
|
|
pub place: Id<Place>,
|
|
|
|
}
|
|
|
|
|
|
|
|
impl Site {
|
|
|
|
pub fn as_settlement(&self) -> Option<&Settlement> {
|
|
|
|
if let SiteKind::Settlement(s) = &self.kind {
|
|
|
|
Some(s)
|
|
|
|
} else {
|
|
|
|
None
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
pub fn as_settlement_mut(&mut self) -> Option<&mut Settlement> {
|
|
|
|
if let SiteKind::Settlement(s) = &mut self.kind {
|
|
|
|
Some(s)
|
|
|
|
} else {
|
|
|
|
None
|
|
|
|
}
|
|
|
|
}
|
2020-03-27 23:06:23 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
#[derive(Debug)]
|
|
|
|
pub enum SiteKind {
|
|
|
|
Settlement(Settlement),
|
|
|
|
}
|
|
|
|
|
2020-03-28 18:16:19 +00:00
|
|
|
#[derive(Debug)]
|
2020-03-27 23:06:23 +00:00
|
|
|
pub struct Settlement {
|
2020-03-28 18:16:19 +00:00
|
|
|
population: f32,
|
|
|
|
stocks: Stocks<f32>,
|
|
|
|
trade_states: Stocks<TradeState>,
|
|
|
|
coin: f32,
|
2020-03-27 23:06:23 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
impl Settlement {
|
2020-03-28 18:16:19 +00:00
|
|
|
pub fn civ_birthplace() -> Self {
|
|
|
|
Self {
|
|
|
|
population: 24.0,
|
|
|
|
stocks: Stocks::default(),
|
|
|
|
trade_states: Stocks::default(),
|
|
|
|
coin: 1000.0,
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2020-03-27 23:06:23 +00:00
|
|
|
pub fn collect_stocks(&mut self, years: f32, nat_res: &NaturalResources) {
|
|
|
|
// Per labourer, per year
|
2020-03-28 18:16:19 +00:00
|
|
|
let collection_rate = Stocks::from_list(&[
|
|
|
|
(FOOD, 2.0),
|
|
|
|
(ROCK, 0.6),
|
|
|
|
(WOOD, 1.5),
|
|
|
|
]);
|
|
|
|
|
|
|
|
// Proportion of the population dedicated to each task
|
|
|
|
let workforce_ratios = Stocks::from_list(&[
|
|
|
|
(FOOD, self.trade_states[FOOD].domestic_value),
|
|
|
|
(ROCK, self.trade_states[ROCK].domestic_value),
|
|
|
|
(WOOD, self.trade_states[WOOD].domestic_value),
|
|
|
|
]);
|
|
|
|
// Normalise workforce proportions
|
|
|
|
let wf_total = workforce_ratios.iter().map(|(_, r)| *r).sum::<f32>();
|
|
|
|
let workforce = workforce_ratios.map(|stock, r| r / wf_total * self.population);
|
|
|
|
|
|
|
|
self.stocks[FOOD] += years * (workforce[FOOD] * collection_rate[FOOD] + nat_res.farmland * 0.01).min(nat_res.farmland);
|
|
|
|
self.stocks[ROCK] += years * (workforce[ROCK] * collection_rate[ROCK] + nat_res.stone * 0.01).min(nat_res.stone);
|
|
|
|
self.stocks[WOOD] += years * (workforce[WOOD] * collection_rate[WOOD] + nat_res.wood * 0.01).min(nat_res.wood);
|
|
|
|
|
|
|
|
println!("{:?}", nat_res);
|
|
|
|
println!("{:?}", self.stocks);
|
2020-03-27 23:06:23 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
pub fn consume_stocks(&mut self, years: f32) {
|
2020-03-28 18:16:19 +00:00
|
|
|
const EAT_RATE: f32 = 0.5;
|
|
|
|
const USE_WOOD_RATE: f32 = 0.75;
|
|
|
|
const BIRTH_RATE: f32 = 0.1;
|
|
|
|
|
|
|
|
self.population += years * BIRTH_RATE;
|
|
|
|
|
|
|
|
let required = Stocks::from_list(&[
|
|
|
|
(FOOD, self.population as f32 * years * EAT_RATE),
|
|
|
|
(WOOD, self.population as f32 * years * USE_WOOD_RATE),
|
|
|
|
]);
|
|
|
|
|
|
|
|
// Calculate surplus and deficit of each stock
|
|
|
|
let surplus = required.clone().map(|stock, required| (self.stocks[stock] - required).max(0.0));
|
|
|
|
let deficit = required.clone().map(|stock, required| (required - self.stocks[stock]).max(0.0));
|
|
|
|
|
|
|
|
// Deplete stocks
|
|
|
|
self.stocks.iter_mut().for_each(|(stock, v)| *v = (*v - required[stock]).max(0.0));
|
|
|
|
|
|
|
|
// Kill people
|
|
|
|
self.population = (self.population - deficit[FOOD] * years * EAT_RATE).max(0.0);
|
|
|
|
|
|
|
|
// If in deficit, value the stock more
|
|
|
|
deficit.iter().for_each(|(stock, deficit)| {
|
|
|
|
if *deficit > 0.0 {
|
|
|
|
let mut trade_state = &mut self.trade_states[stock];
|
|
|
|
trade_state.domestic_value += *deficit * 0.01;
|
|
|
|
trade_state.surplus = -*deficit;
|
|
|
|
trade_state.purchase_priority *= 1.1;
|
|
|
|
}
|
|
|
|
});
|
2020-03-27 23:06:23 +00:00
|
|
|
|
2020-03-28 18:16:19 +00:00
|
|
|
// If in surplus, value the stock less
|
|
|
|
surplus.iter().for_each(|(stock, surplus)| {
|
|
|
|
if *surplus > 0.0 {
|
|
|
|
let mut trade_state = &mut self.trade_states[stock];
|
|
|
|
trade_state.domestic_value /= 1.0 + *surplus * 0.01;
|
|
|
|
trade_state.surplus = *surplus;
|
|
|
|
}
|
|
|
|
});
|
2020-03-27 23:06:23 +00:00
|
|
|
|
2020-03-28 18:16:19 +00:00
|
|
|
// Normalise purchasing priorities
|
|
|
|
let pp_avg = self.trade_states.iter().map(|(_, ts)| ts.purchase_priority).sum::<f32>() / self.trade_states.iter().count() as f32;
|
|
|
|
self.trade_states.iter_mut().for_each(|(_, ts)| ts.purchase_priority /= pp_avg);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
type Stock = &'static str;
|
|
|
|
const FOOD: Stock = "food";
|
|
|
|
const WOOD: Stock = "wood";
|
|
|
|
const ROCK: Stock = "rock";
|
|
|
|
|
|
|
|
#[derive(Debug, Clone)]
|
|
|
|
struct TradeState {
|
|
|
|
buy_belief: econ::Belief,
|
|
|
|
sell_belief: econ::Belief,
|
|
|
|
/// The price/value assigned to the stock by the host settlement
|
|
|
|
domestic_value: f32,
|
|
|
|
surplus: f32,
|
|
|
|
purchase_priority: f32,
|
|
|
|
}
|
2020-03-27 23:06:23 +00:00
|
|
|
|
2020-03-28 18:16:19 +00:00
|
|
|
impl Default for TradeState {
|
|
|
|
fn default() -> Self {
|
|
|
|
Self {
|
|
|
|
buy_belief: econ::Belief {
|
|
|
|
price: 1.0,
|
|
|
|
confidence: 0.25,
|
|
|
|
},
|
|
|
|
sell_belief: econ::Belief {
|
|
|
|
price: 1.0,
|
|
|
|
confidence: 0.25,
|
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},
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domestic_value: 1.0,
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surplus: 0.0,
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purchase_priority: 1.0,
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}
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}
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}
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#[derive(Default, Clone, Debug)]
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pub struct Stocks<T> {
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stocks: HashMap<Stock, T>,
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zero: T,
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}
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impl<T: Default + Clone> Stocks<T> {
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pub fn from_list<'a>(i: impl IntoIterator<Item=&'a (Stock, T)>) -> Self
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where T: 'a
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{
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Self {
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stocks: i.into_iter().cloned().collect(),
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zero: T::default(),
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}
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2020-03-27 23:06:23 +00:00
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}
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|
2020-03-28 18:16:19 +00:00
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pub fn get_mut(&mut self, stock: Stock) -> &mut T {
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|
self
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|
.stocks
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.entry(stock)
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.or_default()
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}
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|
pub fn get(&self, stock: Stock) -> &T {
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|
self.stocks.get(&stock).unwrap_or(&self.zero)
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}
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pub fn map(mut self, mut f: impl FnMut(Stock, T) -> T) -> Self {
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self.stocks.iter_mut().for_each(|(s, v)| *v = f(*s, std::mem::take(v)));
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|
self
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}
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pub fn iter(&self) -> impl Iterator<Item=(Stock, &T)> + '_ {
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|
self.stocks.iter().map(|(s, v)| (*s, v))
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}
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|
pub fn iter_mut(&mut self) -> impl Iterator<Item=(Stock, &mut T)> + '_ {
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|
self.stocks.iter_mut().map(|(s, v)| (*s, v))
|
2020-03-27 23:06:23 +00:00
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|
}
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|
}
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|
|
2020-03-28 18:16:19 +00:00
|
|
|
impl<T: Default + Clone> std::ops::Index<Stock> for Stocks<T> {
|
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|
|
type Output = T;
|
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|
|
fn index(&self, stock: Stock) -> &Self::Output { self.get(stock) }
|
2020-03-27 23:06:23 +00:00
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|
}
|
2020-03-28 18:16:19 +00:00
|
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|
|
|
|
|
impl<T: Default + Clone> std::ops::IndexMut<Stock> for Stocks<T> {
|
|
|
|
fn index_mut(&mut self, stock: Stock) -> &mut Self::Output { self.get_mut(stock) }
|
|
|
|
}
|
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