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153 lines
7.0 KiB
153 lines
7.0 KiB
using System;
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using System.Collections.Generic;
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using TNodeCore.Runtime;
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using TNodeCore.Runtime.Components;
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using TNodeCore.Runtime.Models;
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namespace TNode.TNodeCore.Runtime.Tools{
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public class GraphTool{
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/// <summary>
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/// Topological order of the graph nodes
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/// </summary>
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[NonSerialized]
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public readonly List<RuntimeNode> TopologicalOrder = new List<RuntimeNode>();
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public RuntimeGraph Parent;
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public bool TopologicalSorted = false;
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/// <summary>
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/// Entry nodes of the graph. These are the nodes that has no input.
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/// </summary>
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[NonSerialized]
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public readonly List<RuntimeNode> NonDependencyNode = new List<RuntimeNode>();
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/// <summary>
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/// Cached data for Dependency traversal.
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/// </summary>
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public readonly Dictionary<string, object> OutputCached = new Dictionary<string, object>();
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/// <summary>
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/// Ssed to detect if the graph tool is caching the output data of the node
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/// </summary>
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private bool _isCachingOutput = false;
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/// <summary>
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/// elements are read only ,do not modify them
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/// </summary>
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public readonly Dictionary<string, RuntimeNode> RuntimeNodes;
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//Traverse and process all nodes in a topological order,dependency of the node is already resolved.if you want to run specific node,you can use RunNodeDependently instead
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public void DirectlyTraversal(){
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foreach (var node in TopologicalOrder){
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var links = node.InputLink;
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foreach (var link in links){
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HandlingLink(link);
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}
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node.NodeData.Process();
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}
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}
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/// <summary>
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/// Cache out port data in the graph tool so that we can directly access the output.
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/// The two function assume there will be no change happens in scene nodes or blackboard referenced data during the running,so in a dependency traversal for some
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/// batch of nodes.the nodes could directly access the output data in the graph tool instead of waiting dependency traversal resolve the result of the output.
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/// </summary>
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public void StartCachingPort(){
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_isCachingOutput = true;
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}
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public void EndCachingPort(){
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_isCachingOutput = false;
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OutputCached.Clear();
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}
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/// <summary>
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/// Resolve dependencies by a deep first search,the depended nodes will be processed to satisfy the need of the the given runtime node
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/// Note it's a recursive function.if you want directly traverse all nodes with dependency resolved ,use DirectlyTraversal() instead.
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/// </summary>
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/// <param name="runtimeNode">The node you want to resolve dependency</param>
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/// <param name="dependencyLevel">search depth,no need provide a number when use outside</param>
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public void RunNodeDependently(RuntimeNode runtimeNode,int dependencyLevel=0){
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var links = runtimeNode.InputLink;
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foreach (var link in links){
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var outputNode = RuntimeNodes[link.outPort.nodeDataId];
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RunNodeDependently(outputNode,dependencyLevel+1);
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HandlingLink(link);
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}
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if (dependencyLevel > DependencyLevelMax){
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throw new Exception("Dependency anomaly detected,check if there is a loop in the graph");
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}
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//if the runtime node has no output ,it will not be processed
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if (runtimeNode.OutputLink.Count == 0 && dependencyLevel != 0){
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return;
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}
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runtimeNode.NodeData.Process();
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Parent.StartCoroutine(runtimeNode.NodeData.AfterProcess());
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}
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/// <summary>
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/// Max depth of dependency traversal,in case of some special situation. the dependency level bigger than this number will be considered as a loop.
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/// </summary>
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private const int DependencyLevelMax = 1145;
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/// <summary>
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/// Handling a node link to transfer data from it's output side to the input side
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/// </summary>
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/// <param name="nodeLink">Link you want to process</param>
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public void HandlingLink(NodeLink nodeLink){
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//out node is node output data
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//in node is node receive data
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var inNode = RuntimeNodes[nodeLink.inPort.nodeDataId];
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var outNode = RuntimeNodes[nodeLink.outPort.nodeDataId];
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//TODO looks like this string would be too long to make a cache
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var cachedKey = $"{outNode.NodeData.id}-{nodeLink.inPort.portEntryName}";
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var outValue = OutputCached.ContainsKey(cachedKey) ? OutputCached[cachedKey] : outNode.GetOutput(nodeLink.outPort.portEntryName);;
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if (_isCachingOutput){
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OutputCached[cachedKey] = outValue;
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}
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inNode.SetInput(nodeLink.inPort.portEntryName, outValue);
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}
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/// <summary>
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/// Constructor of the graph tool,it will traverse the graph and build the topological order of the graph.
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/// </summary>
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/// <param name="list">List of nodes you need to traversal to build graph tool</param>
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/// <param name="graphNodes">Map stores the mapping of node data id to runtime node</param>
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public GraphTool(List<RuntimeNode> list, Dictionary<string, RuntimeNode> graphNodes,RuntimeGraph graph){
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RuntimeNodes = graphNodes;
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Parent = graph;
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if (list == null) return;
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Queue<RuntimeNode> queue = new Queue<RuntimeNode>();
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Dictionary<string,int> inDegreeCounterForTopologicalSort = new Dictionary<string, int>();
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foreach (var runtimeNode in list){
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var id = runtimeNode.NodeData.id;
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if (!inDegreeCounterForTopologicalSort.ContainsKey(id)){
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inDegreeCounterForTopologicalSort.Add(id,runtimeNode.InputLink.Count);
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}
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if (inDegreeCounterForTopologicalSort[id] == 0){
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queue.Enqueue(runtimeNode);
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NonDependencyNode.Add(runtimeNode);
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}
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}
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//Topological sort
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while (queue.Count > 0){
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var node = queue.Dequeue();
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TopologicalOrder.Add(node);
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foreach (var outputLink in node.OutputLink){
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inDegreeCounterForTopologicalSort[outputLink.inPort.nodeDataId]--;
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if (inDegreeCounterForTopologicalSort[outputLink.inPort.nodeDataId] == 0){
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queue.Enqueue(RuntimeNodes[outputLink.inPort.nodeDataId]);
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}
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}
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}
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TopologicalSorted = TopologicalOrder.Count != list.Count;
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inDegreeCounterForTopologicalSort.Clear();
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queue.Clear();
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}
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}
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} |