using System; using System.Collections.Generic; using System.IO; using MLAgents.CommunicatorObjects; using UnityEditor; using UnityEngine; using UnityEditor.Experimental.AssetImporters; using MLAgents.Demonstrations; namespace MLAgents.Editor { /// /// Asset Importer used to parse demonstration files. /// [ScriptedImporter(1, new[] {"demo"})] internal class DemonstrationImporter : ScriptedImporter { const string k_IconPath = "Packages/com.unity.ml-agents/Editor/Icons/DemoIcon.png"; public override void OnImportAsset(AssetImportContext ctx) { var inputType = Path.GetExtension(ctx.assetPath); if (inputType == null) { throw new Exception("Demonstration import error."); } try { // Read first three proto objects containing metadata, brain parameters, and observations. Stream reader = File.OpenRead(ctx.assetPath); var metaDataProto = DemonstrationMetaProto.Parser.ParseDelimitedFrom(reader); var metaData = metaDataProto.ToDemonstrationMetaData(); reader.Seek(DemonstrationWriter.MetaDataBytes + 1, 0); var brainParamsProto = BrainParametersProto.Parser.ParseDelimitedFrom(reader); var brainParameters = brainParamsProto.ToBrainParameters(); // Read the first AgentInfoActionPair so that we can get the observation sizes. List observationSummaries; try { var agentInfoActionPairProto = AgentInfoActionPairProto.Parser.ParseDelimitedFrom(reader); observationSummaries = agentInfoActionPairProto.GetObservationSummaries(); } catch { // Just in case there weren't any AgentInfoActionPair or they couldn't be read. observationSummaries = new List(); } reader.Close(); var demonstrationSummary = ScriptableObject.CreateInstance(); demonstrationSummary.Initialize(brainParameters, metaData, observationSummaries); userData = demonstrationSummary.ToString(); var texture = (Texture2D) AssetDatabase.LoadAssetAtPath(k_IconPath, typeof(Texture2D)); ctx.AddObjectToAsset(ctx.assetPath, demonstrationSummary, texture); ctx.SetMainObject(demonstrationSummary); } catch { // ignored } } } }