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