use super::core::{
GridSnapshot,
action::GridAction,
agent::AgentState,
build_snapshot,
direction::Direction,
dynamics::{StepOutcome, apply_action},
entity::Entity,
grid::Grid,
render::render_ascii,
reward::success_reward,
state::GridState,
};
use rand::SeedableRng;
use rand::rngs::StdRng;
use rlevo_core::environment::{Environment, EnvironmentError};
use rlevo_core::reward::ScalarReward;
use serde::{Deserialize, Serialize};
use std::fmt::{Display, Formatter};
use std::str::FromStr;
const MIN_SIZE: usize = 5;
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub struct LavaGapConfig {
pub size: usize,
pub max_steps: usize,
pub seed: u64,
}
impl LavaGapConfig {
#[must_use]
pub const fn new(size: usize, max_steps: usize, seed: u64) -> Self {
Self {
size,
max_steps,
seed,
}
}
}
impl Default for LavaGapConfig {
fn default() -> Self {
let size = 5;
Self {
size,
max_steps: 4 * size * size,
seed: 0,
}
}
}
impl FromStr for LavaGapConfig {
type Err = String;
fn from_str(s: &str) -> Result<Self, Self::Err> {
let mut cfg = Self::default();
for (idx, raw) in s.trim().split(',').map(str::trim).enumerate() {
if raw.is_empty() {
continue;
}
if let Some((key, value)) = raw.split_once('=') {
match key.trim() {
"size" => cfg.size = value.trim().parse().map_err(|e| format!("size: {e}"))?,
"max_steps" => {
cfg.max_steps = value
.trim()
.parse()
.map_err(|e| format!("max_steps: {e}"))?;
}
"seed" => cfg.seed = value.trim().parse().map_err(|e| format!("seed: {e}"))?,
other => return Err(format!("unknown key `{other}`")),
}
} else {
match idx {
0 => cfg.size = raw.parse().map_err(|e| format!("size: {e}"))?,
1 => cfg.max_steps = raw.parse().map_err(|e| format!("max_steps: {e}"))?,
2 => cfg.seed = raw.parse().map_err(|e| format!("seed: {e}"))?,
_ => return Err(format!("unexpected positional value `{raw}`")),
}
}
}
if cfg.size < MIN_SIZE {
return Err(format!("size must be >= {MIN_SIZE}, got {}", cfg.size));
}
Ok(cfg)
}
}
#[derive(Debug)]
pub struct LavaGapEnv {
state: GridState,
config: LavaGapConfig,
steps: usize,
render: bool,
_rng: StdRng,
}
impl LavaGapEnv {
#[must_use]
pub fn with_config(config: LavaGapConfig, render: bool) -> Self {
let rng = StdRng::seed_from_u64(config.seed);
let state = Self::build(&config);
Self {
state,
config,
steps: 0,
render,
_rng: rng,
}
}
#[must_use]
pub const fn config(&self) -> &LavaGapConfig {
&self.config
}
#[must_use]
pub const fn steps(&self) -> usize {
self.steps
}
#[must_use]
pub const fn state(&self) -> &GridState {
&self.state
}
#[must_use]
pub fn lava_col(&self) -> i32 {
#[allow(clippy::cast_possible_wrap)]
let col = (self.config.size / 2) as i32;
col
}
#[must_use]
pub fn gap_row(&self) -> i32 {
#[allow(clippy::cast_possible_wrap)]
let row = (self.config.size / 2) as i32;
row
}
#[must_use]
pub fn ascii(&self) -> String {
render_ascii(&self.state.grid, &self.state.agent)
}
fn build(config: &LavaGapConfig) -> GridState {
let mut grid = Grid::new(config.size, config.size);
grid.draw_walls();
#[allow(clippy::cast_possible_wrap)]
let lava_col = (config.size / 2) as i32;
#[allow(clippy::cast_possible_wrap)]
let gap_row = (config.size / 2) as i32;
#[allow(clippy::cast_possible_wrap)]
let height = (config.size - 1) as i32;
for y in 1..height {
if y != gap_row {
grid.set(lava_col, y, Entity::Lava);
}
}
#[allow(clippy::cast_possible_wrap)]
let gx = (config.size - 2) as i32;
#[allow(clippy::cast_possible_wrap)]
let gy = (config.size - 2) as i32;
grid.set(gx, gy, Entity::Goal);
let agent = AgentState::new(1, 1, Direction::East);
GridState::new(grid, agent)
}
fn emit(&self, reward: f32, done: bool) -> GridSnapshot {
if self.render {
println!("{}", self.ascii());
}
build_snapshot(&self.state, reward, done)
}
}
impl Display for LavaGapEnv {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
write!(
f,
"LavaGapEnv(size={}, step={}/{})",
self.config.size, self.steps, self.config.max_steps
)
}
}
impl Environment<3, 3, 1> for LavaGapEnv {
type StateType = GridState;
type ObservationType = super::core::GridObservation;
type ActionType = GridAction;
type RewardType = ScalarReward;
type SnapshotType = GridSnapshot;
fn new(render: bool) -> Self {
Self::with_config(LavaGapConfig::default(), render)
}
fn reset(&mut self) -> Result<Self::SnapshotType, EnvironmentError> {
self.state = Self::build(&self.config);
self.steps = 0;
self._rng = StdRng::seed_from_u64(self.config.seed);
Ok(self.emit(0.0, false))
}
fn step(&mut self, action: Self::ActionType) -> Result<Self::SnapshotType, EnvironmentError> {
self.steps += 1;
let outcome = apply_action(&mut self.state.grid, &mut self.state.agent, action);
let (reward, done) = match outcome {
StepOutcome::ReachedGoal => (success_reward(self.steps, self.config.max_steps), true),
StepOutcome::HitLava => (0.0, true),
_ => {
let done = self.steps >= self.config.max_steps;
(0.0, done)
}
};
Ok(self.emit(reward, done))
}
}
#[cfg(test)]
mod tests {
use super::*;
use rlevo_core::environment::Snapshot;
fn env_5x5() -> LavaGapEnv {
LavaGapEnv::with_config(LavaGapConfig::new(5, 100, 0), false)
}
#[test]
fn default_config_values() {
let cfg = LavaGapConfig::default();
assert_eq!(cfg.size, 5);
assert_eq!(cfg.max_steps, 4 * 5 * 5);
}
#[test]
fn fromstr_keyvalue() {
let cfg: LavaGapConfig = "size=6,max_steps=40".parse().unwrap();
assert_eq!(cfg.size, 6);
assert_eq!(cfg.max_steps, 40);
}
#[test]
fn fromstr_rejects_small_size() {
assert!("3".parse::<LavaGapConfig>().is_err());
}
#[test]
fn build_places_lava_strip_with_gap() {
let env = env_5x5();
assert_eq!(env.state().grid.get(2, 1), Entity::Lava);
assert_eq!(env.state().grid.get(2, 3), Entity::Lava);
assert_eq!(env.state().grid.get(2, 2), Entity::Empty);
assert_eq!(env.state().grid.get(3, 3), Entity::Goal);
}
#[test]
fn reset_is_deterministic() {
let cfg = LavaGapConfig::new(5, 100, 11);
let mut a = LavaGapEnv::with_config(cfg, false);
let mut b = LavaGapEnv::with_config(cfg, false);
let sa = a.reset().unwrap();
let sb = b.reset().unwrap();
assert_eq!(sa.observation(), sb.observation());
}
#[test]
fn stepping_into_lava_terminates_with_zero_reward() {
let mut env = env_5x5();
env.reset().unwrap();
let snap = env.step(GridAction::Forward).unwrap();
assert!(snap.is_done());
let reward: f32 = (*snap.reward()).into();
assert_eq!(reward, 0.0);
}
#[test]
fn optimal_rollout_crosses_gap_and_reaches_goal() {
let mut env = env_5x5();
env.reset().unwrap();
let script = [
GridAction::TurnRight, GridAction::Forward, GridAction::TurnLeft, GridAction::Forward, GridAction::Forward, GridAction::TurnRight, GridAction::Forward, ];
let mut last = None;
for a in script {
last = Some(env.step(a).unwrap());
}
let snap = last.unwrap();
assert!(snap.is_done());
let reward: f32 = (*snap.reward()).into();
assert!(reward > 0.0, "reward was {reward}");
}
#[test]
fn timeout_ends_with_zero_reward() {
let cfg = LavaGapConfig::new(5, 3, 0);
let mut env = LavaGapEnv::with_config(cfg, false);
env.reset().unwrap();
env.step(GridAction::TurnLeft).unwrap();
env.step(GridAction::TurnLeft).unwrap();
let snap = env.step(GridAction::TurnLeft).unwrap();
assert!(snap.is_done());
let reward: f32 = (*snap.reward()).into();
assert_eq!(reward, 0.0);
}
#[test]
fn lava_col_and_gap_row_match_config() {
let env = env_5x5();
assert_eq!(env.lava_col(), 2);
assert_eq!(env.gap_row(), 2);
}
#[test]
fn reset_clears_step_counter() {
let mut env = env_5x5();
env.reset().unwrap();
env.step(GridAction::TurnLeft).unwrap();
env.step(GridAction::TurnLeft).unwrap();
assert_eq!(env.steps(), 2);
env.reset().unwrap();
assert_eq!(env.steps(), 0);
}
}