Exploring raycasters and possibly make a little "doom like" game based on it.
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raycaster/tests/goap.cpp

283 lines
7.7 KiB

#include <catch2/catch_test_macros.hpp>
#include "dbc.hpp"
#include <iostream>
#include <vector>
#include "levelmanager.hpp"
#include "matrix.hpp"
#include "components.hpp"
#include <bitset>
#include <limits>
using namespace dbc;
using namespace components;
constexpr const int SCORE_MAX = std::numeric_limits<int>::max();
enum StateNames {
ENEMY_IN_RANGE,
ENEMY_DEAD,
STATE_MAX
};
using GOAPState = std::bitset<STATE_MAX>;
bool is_subset(GOAPState& source, GOAPState& target) {
GOAPState result = source & target;
std::cout << "IS_SUBSET: source: " << source << " target: " << target << " result: " << result << " is it? " << (result == target) << std::endl;
return result == target;
}
struct Action {
std::string name;
int cost = 0;
std::unordered_map<StateNames, bool> preconds;
std::unordered_map<StateNames, bool> effects;
bool can_effect(GOAPState& state) {
for(auto [name, setting] : preconds) {
if(state[name] != setting) return false;
}
return true;
}
GOAPState apply_effect(GOAPState& state) {
// RCR SUGGEST: state = (state & ~write_mask) | effect
auto state_cp = state;
for(auto [name, setting] : effects) {
state_cp[name] = setting;
}
return state_cp;
}
bool operator==(const Action& other) const {
return other.name == name;
}
};
template<> struct std::hash<Action> {
size_t operator()(const Action& p) const {
return std::hash<std::string>{}(p.name);
}
};
const Action FINAL_ACTION{"END", SCORE_MAX, {}, {}};
struct ActionState {
Action action;
GOAPState state;
bool operator==(const ActionState& other) const {
return other.action == action && other.state == state;
}
};
template<> struct std::hash<ActionState> {
size_t operator()(const ActionState& p) const {
return std::hash<Action>{}(p.action) ^ std::hash<GOAPState>{}(p.state);
}
};
using AStarPath = std::deque<Action>;
int distance_to_goal(GOAPState& from, GOAPState& to) {
auto result = from ^ to;
return result.count();
}
AStarPath reconstruct_path(std::unordered_map<Action, Action>& came_from, Action& current) {
fmt::println(">> reconstruct path: {}", current.name);
AStarPath total_path{current};
int count = 0;
while(came_from.contains(current) && count++ < 10) {
current = came_from[current];
if(current != FINAL_ACTION) {
fmt::println("adding next action: {}", current.name);
total_path.push_front(current);
}
}
fmt::println("Exited reconstruct path.");
return total_path;
}
inline int h(GOAPState& start, GOAPState& goal) {
int result = distance_to_goal(start, goal);
std::cout << "h on " << start << " and " << goal << " gives distance " << result << "\n";
return result;
}
inline int d(GOAPState& start, GOAPState& goal) {
int result = distance_to_goal(start, goal);
std::cout << "d on " << start << " and " << goal << " gives distance " << result << "\n";
return result;
}
inline ActionState find_lowest(std::unordered_map<ActionState, int>& open_set) {
dbc::check(!open_set.empty(), "open set can't be empty in find_lowest");
ActionState result;
int lowest_score = SCORE_MAX;
for(auto [as, score] : open_set) {
fmt::println("### find_lowest: action={}, score={}", as.action.name, score);
if(score < lowest_score) {
lowest_score = score;
result = as;
}
}
fmt::println("<<< found lowest: action={}, score={}", result.action.name, lowest_score);
return result;
}
// map is the list of possible actions
// start and goal are two world states
std::optional<AStarPath> plan_actions(std::vector<Action>& actions, GOAPState& start, GOAPState& goal) {
std::unordered_map<ActionState, int> open_set;
std::unordered_map<Action, Action> came_from;
std::unordered_map<GOAPState, int> g_score;
ActionState start_state{FINAL_ACTION, start};
g_score[start] = 0;
open_set[start_state] = g_score[start] + h(start, goal);
while(!open_set.empty()) {
fmt::println(">>>>>>>>>>>>>>>>>>>>>> TOP OF WHILE");
auto current = find_lowest(open_set);
if(is_subset(current.state, goal)) {
return std::make_optional<AStarPath>(reconstruct_path(came_from, current.action));
}
open_set.erase(current);
for(auto& neighbor_action : actions) {
fmt::println("^^^ NEXT ACTION {}", neighbor_action.name);
// calculate the GOAPState being current/neighbor
if(!neighbor_action.can_effect(current.state)) {
fmt::println("^^^ SKIP action {}", neighbor_action.name);
continue;
}
auto neighbor = neighbor_action.apply_effect(current.state);
int d_score = d(current.state, neighbor);
int tentative_g_score = g_score[current.state] + d_score;
int neighbor_g_score = g_score.contains(neighbor) ? g_score[neighbor] : SCORE_MAX;
if(tentative_g_score < neighbor_g_score) {
fmt::println("!!! NEW LOW SCORE::: SETTING {} with PARENT {}, tg_score={}, ng_score={}",
neighbor_action.name, current.action.name,
tentative_g_score, neighbor_g_score);
came_from[neighbor_action] = current.action;
g_score[neighbor] = tentative_g_score;
// open_set gets the fScore
ActionState neighbor_as{neighbor_action, neighbor};
open_set[neighbor_as] = tentative_g_score + h(neighbor, goal);
}
fmt::println("^^^ END ACTION LOOP");
}
fmt::println("<<<<<<<<<<<<<<<<< END OF WHILE");
}
return std::nullopt;
}
TEST_CASE("worldstate works", "[goap]") {
GOAPState goal;
GOAPState start;
std::vector<Action> actions;
// start off enemy not dead and not in range
start[ENEMY_DEAD] = false;
start[ENEMY_IN_RANGE] = false;
// end goal is enemy is dead
goal[ENEMY_DEAD] = true;
Action move_closer;
move_closer.name = "move_closer";
move_closer.cost = 10;
move_closer.preconds[ENEMY_IN_RANGE] = false;
move_closer.effects[ENEMY_IN_RANGE] = true;
REQUIRE(move_closer.can_effect(start));
auto after_move_state = move_closer.apply_effect(start);
REQUIRE(start[ENEMY_IN_RANGE] == false);
REQUIRE(after_move_state[ENEMY_IN_RANGE] == true);
REQUIRE(after_move_state[ENEMY_DEAD] == false);
// start is clean but after move is dirty
REQUIRE(move_closer.can_effect(start));
REQUIRE(!move_closer.can_effect(after_move_state));
REQUIRE(distance_to_goal(start, after_move_state) == 1);
Action kill_it;
kill_it.name = "kill_it";
kill_it.cost = 10;
kill_it.preconds[ENEMY_IN_RANGE] = true;
kill_it.preconds[ENEMY_DEAD] = false;
kill_it.effects[ENEMY_DEAD] = true;
REQUIRE(!kill_it.can_effect(start));
REQUIRE(kill_it.can_effect(after_move_state));
auto after_kill_state = kill_it.apply_effect(after_move_state);
REQUIRE(!kill_it.can_effect(after_kill_state));
REQUIRE(distance_to_goal(after_move_state, after_kill_state) == 1);
actions.push_back(kill_it);
actions.push_back(move_closer);
REQUIRE(start != goal);
}
TEST_CASE("basic feature tests", "[goap]") {
GOAPState goal;
GOAPState start;
std::vector<Action> actions;
// start off enemy not dead and not in range
start[ENEMY_DEAD] = false;
start[ENEMY_IN_RANGE] = false;
// end goal is enemy is dead
goal[ENEMY_DEAD] = true;
Action move_closer;
move_closer.name = "move_closer";
move_closer.cost = 10;
move_closer.preconds[ENEMY_IN_RANGE] = false;
move_closer.effects[ENEMY_IN_RANGE] = true;
Action kill_it;
kill_it.name = "kill_it";
kill_it.cost = 10;
kill_it.preconds[ENEMY_IN_RANGE] = true;
kill_it.preconds[ENEMY_DEAD] = false;
kill_it.effects[ENEMY_DEAD] = true;
// order seems to matter which is wrong
actions.push_back(kill_it);
actions.push_back(move_closer);
auto result = plan_actions(actions, start, goal);
REQUIRE(result != std::nullopt);
for(auto& action : *result) {
fmt::println("ACTION: {}", action.name);
}
}