void InputTestNodeAI()
{
attackMap = new Node_DataMap ();
attackMap.topNode = this;
attackMap.InitializeNode ();
distanceFilter = new Node_DistanceFilter ();
distanceFilter._inputVar = blackboard.subject;
distanceFilter._inputList = attackMap.dataMap;
distanceFilter.inputThreshold = 0.5f;
bestVal = new Node_BestValue ();
bestVal.topQuantity = 1;
bestVal._inputList = distanceFilter._outputList;
lowerNodes.Add (distanceFilter);
lowerNodes.Add (bestVal);
}
void SettingTargetTestNodeAI()
{
attackMap = new Node_DataMap ();
attackMap.topNode = this;
attackMap.InitializeNode ();
outerElNode = new Node_OuterElementSelector ();
outerElNode._inputList = attackMap.dataMap;
outerElNode.topNode = this;
outerElNode.inputThreshold = 0.5f;
outerElNode.outputThreshold = 1.0f;
distanceFilter = new Node_DistanceFilter ();
distanceFilter._inputVar = blackboard.subject;
distanceFilter._inputList = outerElNode._outputList;
distanceFilter.inputThreshold = 0.5f;
distanceFilter.outputThreshold = 0.5f;
bestVal = new Node_BestValue ();
bestVal.topQuantity = 1;
bestVal._inputList = distanceFilter._outputList;
addTargetNode = new Node_AddTarget ();
addTargetNode.inputIds = bestVal._outputList;
addTargetNode.controlledElement = blackboard.subject;
lowerNodes.Add (outerElNode);
lowerNodes.Add (distanceFilter);
lowerNodes.Add (bestVal);
lowerNodes.Add (addTargetNode);
aiBlock.coreNodes = lowerNodes;
aiBlock.dataNodes.Add (attackMap);
}
void TestNodeAI()
{
Node_AND andNode = new Node_AND ();
andNode.inputThreshold = 1.0f;
Node_OuterElementSelector nmbNode = new Node_OuterElementSelector ();
nmbNode.inputThreshold = 0.5f;
Node_DistanceFilter distNode = new Node_DistanceFilter ();
distNode.inputThreshold = 0.5f;
Node_Action movementNode = new Node_Action ();
movementNode.inputThreshold = 1.0f;
movementNode.actionNode = ActionNode.Attack;
movementNode.functionType = FunctionType.Movement;
lowerNodes.Add (andNode);
//andNode.upperNode = this;
andNode.lowerNodes.Add (nmbNode);
nmbNode.upperNode = andNode;
// andNode.lowerNodes.Add (distNode);
// distNode.upperNode = andNode;
andNode.lowerNodes.Add (movementNode);
movementNode.upperNode = andNode;
}
void NestedListInputTestNodeAI()
{
attackMap = new Node_DataMap ();
attackMap.topNode = this;
attackMap.InitializeNode ();
distanceFilter = new Node_DistanceFilter ();
distanceFilter._inputVar = blackboard.subject;
distanceFilter._inputList = outerElNode._outputList;
distanceFilter.inputThreshold = 0.5f;
distanceFilter.outputThreshold = 0.5f;
distanceFilter.InitializeNode ();
weightBlend = new Node_WeightBlend ();
weightBlend.InitializeNode ();
// weightBlend._inputLists.Add (attackMap.dataMap);
// weightBlend._inputLists.Add (distanceFilter._outputList);
// TreeConstructor.inst.PassArgument (attackMap, weightBlend, VarType.IdWeightList, VarType.IdWeightNestedList, 0, 0);
// TreeConstructor.inst.PassArgument (distanceFilter, weightBlend, VarType.IdWeightList, VarType.IdWeightNestedList, 0, 1);
VarPass mapCon = attackMap.GetConnection (VarType.IdWeightList, DataDirection.OutcomeData, 0);
VarPass distCon = distanceFilter.GetConnection (VarType.IdWeightList, DataDirection.OutcomeData, 0);
VarPass blendCon1 = weightBlend.GetConnection (VarType.IdWeightNestedList, DataDirection.IncomeData, 0);
VarPass blendCon2 = weightBlend.GetConnection (VarType.IdWeightNestedList, DataDirection.IncomeData, 1);
if(mapCon == null) Debug.Log("1");
if(distCon == null) Debug.Log("2");
if(blendCon1 == null) Debug.Log("3");
if(blendCon2 == null) Debug.Log("4");
TreeConstructor.inst.BindConnections (mapCon, blendCon1, mapCon.varType, blendCon1.varType, mapCon.num, blendCon1.num);
TreeConstructor.inst.BindConnections (distCon, blendCon2, distCon.varType, blendCon2.varType, distCon.num, blendCon2.num);
lowerNodes.Add (distanceFilter);
lowerNodes.Add (weightBlend);
aiBlock.coreNodes = lowerNodes;
aiBlock.dataNodes.Add (attackMap);
}
