using System.Collections; using System.Collections.Generic; using UnityEngine; #if UNITY_EDITOR using UnityEditor; #endif /// CoreBrain which decides actions using Player input. public class CoreBrainPlayer : ScriptableObject, CoreBrain { [SerializeField] private bool broadcast = true; [System.Serializable] private struct DiscretePlayerAction { public KeyCode key; public int value; } [System.Serializable] private struct ContinuousPlayerAction { public KeyCode key; public int index; public float value; } ExternalCommunicator coord; [SerializeField] [Tooltip("The list of keys and the value they correspond to for continuous control.")] /// Contains the mapping from input to continuous actions private ContinuousPlayerAction[] continuousPlayerActions; [SerializeField] [Tooltip("The list of keys and the value they correspond to for discrete control.")] /// Contains the mapping from input to discrete actions private DiscretePlayerAction[] discretePlayerActions; [SerializeField] private int defaultAction = 0; /// Reference to the brain that uses this CoreBrainPlayer public Brain brain; /// Create the reference to the brain public void SetBrain(Brain b) { brain = b; } /// Nothing to implement public void InitializeCoreBrain(Communicator communicator) { if ((communicator == null) || (!broadcast)) { coord = null; } else if (communicator is ExternalCommunicator) { coord = (ExternalCommunicator)communicator; coord.SubscribeBrain(brain); } } /// Uses the continuous inputs or dicrete inputs of the player to /// decide action public void DecideAction(Dictionary agentInfo) { if (coord != null) { coord.GiveBrainInfo(brain, agentInfo); } if (brain.brainParameters.vectorActionSpaceType == SpaceType.continuous) { foreach (Agent agent in agentInfo.Keys) { var action = new float[brain.brainParameters.vectorActionSize]; foreach (ContinuousPlayerAction cha in continuousPlayerActions) { if (Input.GetKey(cha.key)) { action[cha.index] = cha.value; } } agent.UpdateVectorAction(action); } } else { foreach (Agent agent in agentInfo.Keys) { var action = new float[1] { defaultAction }; foreach (DiscretePlayerAction dha in discretePlayerActions) { if (Input.GetKey(dha.key)) { action[0] = (float)dha.value; break; } } agent.UpdateVectorAction(action); } } } /// Displays continuous or discrete input mapping in the inspector public void OnInspector() { #if UNITY_EDITOR EditorGUILayout.LabelField("", GUI.skin.horizontalSlider); broadcast = EditorGUILayout.Toggle(new GUIContent("Broadcast", "If checked, the brain will broadcast states and actions to Python."), broadcast); var serializedBrain = new SerializedObject(this); if (brain.brainParameters.vectorActionSpaceType == SpaceType.continuous) { GUILayout.Label("Edit the continuous inputs for your actions", EditorStyles.boldLabel); var chas = serializedBrain.FindProperty("continuousPlayerActions"); serializedBrain.Update(); EditorGUILayout.PropertyField(chas, true); serializedBrain.ApplyModifiedProperties(); if (continuousPlayerActions == null) { continuousPlayerActions = new ContinuousPlayerAction[0]; } foreach (ContinuousPlayerAction cha in continuousPlayerActions) { if (cha.index >= brain.brainParameters.vectorActionSize) { EditorGUILayout.HelpBox(string.Format("Key {0} is assigned to index {1} but the action size is only of size {2}" , cha.key.ToString(), cha.index.ToString(), brain.brainParameters.vectorActionSize.ToString()), MessageType.Error); } } } else { GUILayout.Label("Edit the discrete inputs for your actions", EditorStyles.boldLabel); defaultAction = EditorGUILayout.IntField("Default Action", defaultAction); var dhas = serializedBrain.FindProperty("discretePlayerActions"); serializedBrain.Update(); EditorGUILayout.PropertyField(dhas, true); serializedBrain.ApplyModifiedProperties(); } #endif } }