Exploring raycasters and possibly make a little "doom like" game based on it.
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raycaster/ai.hpp

63 lines
1.6 KiB

#pragma once
#include <vector>
#include "matrix.hpp"
#include <bitset>
#include <limits>
#include <optional>
#include <nlohmann/json.hpp>
#include "config.hpp"
#include "goap.hpp"
namespace ai {
struct EntityAI {
std::string script;
ai::State start;
ai::State goal;
ai::ActionPlan plan;
EntityAI(std::string script, ai::State start, ai::State goal) :
script(script), start(start), goal(goal)
{
}
EntityAI() {};
bool wants_to(std::string name);
bool active();
void set_state(std::string name, bool setting);
bool get_state(std::string name);
void update();
void dump();
};
struct AIManager {
AIProfile profile;
std::unordered_map<std::string, Action> actions;
std::unordered_map<std::string, State> states;
std::unordered_map<std::string, std::vector<Action>> scripts;
};
/* This is really only used in test to load different fixtures. */
void reset();
void init(std::string config_path);
Action config_action(AIProfile& profile, nlohmann::json& config);
State config_state(AIProfile& profile, nlohmann::json& config);
int state_id(std::string name);
State load_state(std::string state_name);
Action load_action(std::string action_name);
std::vector<Action> load_script(std::string script_name);
void set(State& state, std::string name, bool value=true);
bool test(State state, std::string name);
ActionPlan plan(std::string script_name, State start, State goal);
/* Mostly used for debugging and validation. */
AIProfile* profile();
void check_valid_action(std::string name, std::string msg);
}