| 1 |
- {"ast":null,"code":"import { EventState, Observable } from \"../observable.js\";\nimport { PrecisionDate } from \"../precisionDate.js\";\nimport { Tools } from \"../tools.js\";\nimport { DynamicFloat32Array } from \"./dynamicFloat32Array.js\";\n// the initial size of our array, should be a multiple of two!\nconst InitialArraySize = 1800;\n// three octets in a hexcode. #[AA][BB][CC], i.e. 24 bits of data.\nconst NumberOfBitsInHexcode = 24;\n// Allows single numeral hex numbers to be appended by a 0.\nconst HexPadding = \"0\";\n// header for the timestamp column\nconst TimestampColHeader = \"timestamp\";\n// header for the numPoints column\nconst NumPointsColHeader = \"numPoints\";\n// regex to capture all carriage returns in the string.\nconst CarriageReturnRegex = /\\r/g;\n// string to use as separator when exporting extra information along with the dataset id\nconst ExportedDataSeparator = \"@\";\n/**\n * The collector class handles the collection and storage of data into the appropriate array.\n * The collector also handles notifying any observers of any updates.\n */\nexport class PerformanceViewerCollector {\n /**\n * The offset for when actual data values start appearing inside a slice.\n */\n static get SliceDataOffset() {\n return 2;\n }\n /**\n * The offset for the value of the number of points inside a slice.\n */\n static get NumberOfPointsOffset() {\n return 1;\n }\n /**\n * Handles the creation of a performance viewer collector.\n * @param _scene the scene to collect on.\n * @param _enabledStrategyCallbacks the list of data to collect with callbacks for initialization purposes.\n */\n constructor(_scene, _enabledStrategyCallbacks) {\n this._scene = _scene;\n /**\n * Collects data for every dataset by using the appropriate strategy. This is called every frame.\n * This method will then notify all observers with the latest slice.\n */\n this._collectDataAtFrame = () => {\n const timestamp = PrecisionDate.Now - this._startingTimestamp;\n const numPoints = this.datasets.ids.length;\n // add the starting index for the slice\n const numberOfIndices = this.datasets.startingIndices.itemLength;\n let startingIndex = 0;\n if (numberOfIndices > 0) {\n const previousStartingIndex = this.datasets.startingIndices.at(numberOfIndices - 1);\n startingIndex = previousStartingIndex + this.datasets.data.at(previousStartingIndex + PerformanceViewerCollector.NumberOfPointsOffset) + PerformanceViewerCollector.SliceDataOffset;\n }\n this.datasets.startingIndices.push(startingIndex);\n // add the first 2 items in our slice.\n this.datasets.data.push(timestamp);\n this.datasets.data.push(numPoints);\n // add the values inside the slice.\n this.datasets.ids.forEach(id => {\n const strategy = this._strategies.get(id);\n if (!strategy) {\n return;\n }\n this.datasets.data.push(strategy.getData());\n });\n if (this.datasetObservable.hasObservers()) {\n const slice = [timestamp, numPoints];\n for (let i = 0; i < numPoints; i++) {\n slice.push(this.datasets.data.at(startingIndex + PerformanceViewerCollector.SliceDataOffset + i));\n }\n this.datasetObservable.notifyObservers(slice);\n }\n };\n this.datasets = {\n ids: [],\n data: new DynamicFloat32Array(InitialArraySize),\n startingIndices: new DynamicFloat32Array(InitialArraySize)\n };\n this._strategies = new Map();\n this._datasetMeta = new Map();\n this._eventRestoreSet = new Set();\n this._customEventObservable = new Observable();\n this.datasetObservable = new Observable();\n this.metadataObservable = new Observable(observer => observer.callback(this._datasetMeta, new EventState(0)));\n if (_enabledStrategyCallbacks) {\n this.addCollectionStrategies(..._enabledStrategyCallbacks);\n }\n }\n /**\n * Registers a custom string event which will be callable via sendEvent. This method returns an event object which will contain the id of the event.\n * The user can set a value optionally, which will be used in the sendEvent method. If the value is set, we will record this value at the end of each frame,\n * if not we will increment our counter and record the value of the counter at the end of each frame. The value recorded is 0 if no sendEvent method is called, within a frame.\n * @param name The name of the event to register\n * @param forceUpdate if the code should force add an event, and replace the last one.\n * @param category the category for that event\n * @returns The event registered, used in sendEvent\n */\n registerEvent(name, forceUpdate, category) {\n if (this._strategies.has(name) && !forceUpdate) {\n return;\n }\n if (this._strategies.has(name) && forceUpdate) {\n var _this$_strategies$get;\n (_this$_strategies$get = this._strategies.get(name)) === null || _this$_strategies$get === void 0 || _this$_strategies$get.dispose();\n this._strategies.delete(name);\n }\n const strategy = scene => {\n let counter = 0;\n let value = 0;\n const afterRenderObserver = scene.onAfterRenderObservable.add(() => {\n value = counter;\n counter = 0;\n });\n const stringObserver = this._customEventObservable.add(eventVal => {\n if (name !== eventVal.name) {\n return;\n }\n if (eventVal.value !== undefined) {\n counter = eventVal.value;\n } else {\n counter++;\n }\n });\n return {\n id: name,\n getData: () => value,\n dispose: () => {\n scene.onAfterRenderObservable.remove(afterRenderObserver);\n this._customEventObservable.remove(stringObserver);\n }\n };\n };\n const event = {\n name\n };\n this._eventRestoreSet.add(name);\n this.addCollectionStrategies({\n strategyCallback: strategy,\n category\n });\n return event;\n }\n /**\n * Lets the perf collector handle an event, occurences or event value depending on if the event.value params is set.\n * @param event the event to handle an occurence for\n */\n sendEvent(event) {\n this._customEventObservable.notifyObservers(event);\n }\n /**\n * This event restores all custom string events if necessary.\n */\n _restoreStringEvents() {\n if (this._eventRestoreSet.size !== this._customEventObservable.observers.length) {\n this._eventRestoreSet.forEach(event => {\n this.registerEvent(event, true);\n });\n }\n }\n /**\n * This method adds additional collection strategies for data collection purposes.\n * @param strategyCallbacks the list of data to collect with callbacks.\n */\n addCollectionStrategies(...strategyCallbacks) {\n // eslint-disable-next-line prefer-const\n for (let {\n strategyCallback,\n category,\n hidden\n } of strategyCallbacks) {\n const strategy = strategyCallback(this._scene);\n if (this._strategies.has(strategy.id)) {\n strategy.dispose();\n continue;\n }\n this.datasets.ids.push(strategy.id);\n if (category) {\n category = category.replace(new RegExp(ExportedDataSeparator, \"g\"), \"\");\n }\n this._datasetMeta.set(strategy.id, {\n color: this._getHexColorFromId(strategy.id),\n category,\n hidden\n });\n this._strategies.set(strategy.id, strategy);\n }\n this.metadataObservable.notifyObservers(this._datasetMeta);\n }\n /**\n * Gets a 6 character hexcode representing the colour from a passed in string.\n * @param id the string to get a hex code for.\n * @returns a hexcode hashed from the id.\n */\n _getHexColorFromId(id) {\n // this first bit is just a known way of hashing a string.\n let hash = 0;\n for (let i = 0; i < id.length; i++) {\n // (hash << 5) - hash is the same as hash * 31\n hash = id.charCodeAt(i) + ((hash << 5) - hash);\n }\n // then we build the string octet by octet.\n let hex = \"#\";\n for (let i = 0; i < NumberOfBitsInHexcode; i += 8) {\n const octet = hash >> i & 0xff;\n const toStr = HexPadding + octet.toString(16);\n hex += toStr.substring(toStr.length - 2);\n }\n return hex;\n }\n /**\n * Collects and then sends the latest slice to any observers by using the appropriate strategy when the user wants.\n * The slice will be of the form [timestamp, numberOfPoints, value1, value2...]\n * This method does not add onto the collected data accessible via the datasets variable.\n */\n getCurrentSlice() {\n const timestamp = PrecisionDate.Now - this._startingTimestamp;\n const numPoints = this.datasets.ids.length;\n const slice = [timestamp, numPoints];\n // add the values inside the slice.\n this.datasets.ids.forEach(id => {\n const strategy = this._strategies.get(id);\n if (!strategy) {\n return;\n }\n if (this.datasetObservable.hasObservers()) {\n slice.push(strategy.getData());\n }\n });\n if (this.datasetObservable.hasObservers()) {\n this.datasetObservable.notifyObservers(slice);\n }\n }\n /**\n * Updates a property for a dataset's metadata with the value provided.\n * @param id the id of the dataset which needs its metadata updated.\n * @param prop the property to update.\n * @param value the value to update the property with.\n */\n updateMetadata(id, prop, value) {\n const meta = this._datasetMeta.get(id);\n if (!meta) {\n return;\n }\n meta[prop] = value;\n this.metadataObservable.notifyObservers(this._datasetMeta);\n }\n /**\n * Completely clear, data, ids, and strategies saved to this performance collector.\n * @param preserveStringEventsRestore if it should preserve the string events, by default will clear string events registered when called.\n */\n clear(preserveStringEventsRestore) {\n this.datasets.data = new DynamicFloat32Array(InitialArraySize);\n this.datasets.ids.length = 0;\n this.datasets.startingIndices = new DynamicFloat32Array(InitialArraySize);\n this._datasetMeta.clear();\n this._strategies.forEach(strategy => strategy.dispose());\n this._strategies.clear();\n if (!preserveStringEventsRestore) {\n this._eventRestoreSet.clear();\n }\n this._hasLoadedData = false;\n }\n /**\n * Accessor which lets the caller know if the performance collector has data loaded from a file or not!\n * Call clear() to reset this value.\n * @returns true if the data is loaded from a file, false otherwise.\n */\n get hasLoadedData() {\n return this._hasLoadedData;\n }\n /**\n * Given a string containing file data, this function parses the file data into the datasets object.\n * It returns a boolean to indicate if this object was successfully loaded with the data.\n * @param data string content representing the file data.\n * @param keepDatasetMeta if it should use reuse the existing dataset metadata\n * @returns true if the data was successfully loaded, false otherwise.\n */\n loadFromFileData(data, keepDatasetMeta) {\n const lines = data.replace(CarriageReturnRegex, \"\").split(\"\\n\").map(line => line.split(\",\").filter(s => s.length > 0)).filter(line => line.length > 0);\n const timestampIndex = 0;\n const numPointsIndex = PerformanceViewerCollector.NumberOfPointsOffset;\n if (lines.length < 2) {\n return false;\n }\n const parsedDatasets = {\n ids: [],\n data: new DynamicFloat32Array(InitialArraySize),\n startingIndices: new DynamicFloat32Array(InitialArraySize)\n };\n // parse first line separately to populate ids!\n const [firstLine, ...dataLines] = lines;\n // make sure we have the correct beginning headers\n if (firstLine.length < 2 || firstLine[timestampIndex] !== TimestampColHeader || firstLine[numPointsIndex] !== NumPointsColHeader) {\n return false;\n }\n const idCategoryMap = new Map();\n // populate the ids.\n for (let i = PerformanceViewerCollector.SliceDataOffset; i < firstLine.length; i++) {\n const [id, category] = firstLine[i].split(ExportedDataSeparator);\n parsedDatasets.ids.push(id);\n idCategoryMap.set(id, category);\n }\n let startingIndex = 0;\n for (const line of dataLines) {\n if (line.length < 2) {\n return false;\n }\n const timestamp = parseFloat(line[timestampIndex]);\n const numPoints = parseInt(line[numPointsIndex]);\n if (isNaN(numPoints) || isNaN(timestamp)) {\n return false;\n }\n parsedDatasets.data.push(timestamp);\n parsedDatasets.data.push(numPoints);\n if (numPoints + PerformanceViewerCollector.SliceDataOffset !== line.length) {\n return false;\n }\n for (let i = PerformanceViewerCollector.SliceDataOffset; i < line.length; i++) {\n const val = parseFloat(line[i]);\n if (isNaN(val)) {\n return false;\n }\n parsedDatasets.data.push(val);\n }\n parsedDatasets.startingIndices.push(startingIndex);\n startingIndex += line.length;\n }\n this.datasets.ids = parsedDatasets.ids;\n this.datasets.data = parsedDatasets.data;\n this.datasets.startingIndices = parsedDatasets.startingIndices;\n if (!keepDatasetMeta) {\n this._datasetMeta.clear();\n }\n this._strategies.forEach(strategy => strategy.dispose());\n this._strategies.clear();\n // populate metadata.\n if (!keepDatasetMeta) {\n for (const id of this.datasets.ids) {\n const category = idCategoryMap.get(id);\n this._datasetMeta.set(id, {\n category,\n color: this._getHexColorFromId(id)\n });\n }\n }\n this.metadataObservable.notifyObservers(this._datasetMeta);\n this._hasLoadedData = true;\n return true;\n }\n /**\n * Exports the datasets inside of the collector to a csv.\n */\n exportDataToCsv() {\n let csvContent = \"\";\n // create the header line.\n csvContent += `${TimestampColHeader},${NumPointsColHeader}`;\n for (let i = 0; i < this.datasets.ids.length; i++) {\n csvContent += `,${this.datasets.ids[i]}`;\n if (this._datasetMeta) {\n const meta = this._datasetMeta.get(this.datasets.ids[i]);\n if (meta !== null && meta !== void 0 && meta.category) {\n csvContent += `${ExportedDataSeparator}${meta.category}`;\n }\n }\n }\n csvContent += \"\\n\";\n // create the data lines\n for (let i = 0; i < this.datasets.startingIndices.itemLength; i++) {\n const startingIndex = this.datasets.startingIndices.at(i);\n const timestamp = this.datasets.data.at(startingIndex);\n const numPoints = this.datasets.data.at(startingIndex + PerformanceViewerCollector.NumberOfPointsOffset);\n csvContent += `${timestamp},${numPoints}`;\n for (let offset = 0; offset < numPoints; offset++) {\n csvContent += `,${this.datasets.data.at(startingIndex + PerformanceViewerCollector.SliceDataOffset + offset)}`;\n }\n // add extra commas.\n for (let diff = 0; diff < this.datasets.ids.length - numPoints; diff++) {\n csvContent += \",\";\n }\n csvContent += \"\\n\";\n }\n const fileName = `${new Date().toISOString()}-perfdata.csv`;\n Tools.Download(new Blob([csvContent], {\n type: \"text/csv\"\n }), fileName);\n }\n /**\n * Starts the realtime collection of data.\n * @param shouldPreserve optional boolean param, if set will preserve the dataset between calls of start.\n */\n start(shouldPreserve) {\n if (!shouldPreserve) {\n this.datasets.data = new DynamicFloat32Array(InitialArraySize);\n this.datasets.startingIndices = new DynamicFloat32Array(InitialArraySize);\n this._startingTimestamp = PrecisionDate.Now;\n } else if (this._startingTimestamp === undefined) {\n this._startingTimestamp = PrecisionDate.Now;\n }\n this._scene.onAfterRenderObservable.add(this._collectDataAtFrame);\n this._restoreStringEvents();\n this._isStarted = true;\n }\n /**\n * Stops the collection of data.\n */\n stop() {\n this._scene.onAfterRenderObservable.removeCallback(this._collectDataAtFrame);\n this._isStarted = false;\n }\n /**\n * Returns if the perf collector has been started or not.\n */\n get isStarted() {\n return this._isStarted;\n }\n /**\n * Disposes of the object\n */\n dispose() {\n this._scene.onAfterRenderObservable.removeCallback(this._collectDataAtFrame);\n this._datasetMeta.clear();\n this._strategies.forEach(strategy => {\n strategy.dispose();\n });\n this.datasetObservable.clear();\n this.metadataObservable.clear();\n this._isStarted = false;\n this.datasets = null;\n }\n}","map":{"version":3,"names":["EventState","Observable","PrecisionDate","Tools","DynamicFloat32Array","InitialArraySize","NumberOfBitsInHexcode","HexPadding","TimestampColHeader","NumPointsColHeader","CarriageReturnRegex","ExportedDataSeparator","PerformanceViewerCollector","SliceDataOffset","NumberOfPointsOffset","constructor","_scene","_enabledStrategyCallbacks","_collectDataAtFrame","timestamp","Now","_startingTimestamp","numPoints","datasets","ids","length","numberOfIndices","startingIndices","itemLength","startingIndex","previousStartingIndex","at","data","push","forEach","id","strategy","_strategies","get","getData","datasetObservable","hasObservers","slice","i","notifyObservers","Map","_datasetMeta","_eventRestoreSet","Set","_customEventObservable","metadataObservable","observer","callback","addCollectionStrategies","registerEvent","name","forceUpdate","category","has","_this$_strategies$get","dispose","delete","scene","counter","value","afterRenderObserver","onAfterRenderObservable","add","stringObserver","eventVal","undefined","remove","event","strategyCallback","sendEvent","_restoreStringEvents","size","observers","strategyCallbacks","hidden","replace","RegExp","set","color","_getHexColorFromId","hash","charCodeAt","hex","octet","toStr","toString","substring","getCurrentSlice","updateMetadata","prop","meta","clear","preserveStringEventsRestore","_hasLoadedData","hasLoadedData","loadFromFileData","keepDatasetMeta","lines","split","map","line","filter","s","timestampIndex","numPointsIndex","parsedDatasets","firstLine","dataLines","idCategoryMap","parseFloat","parseInt","isNaN","val","exportDataToCsv","csvContent","offset","diff","fileName","Date","toISOString","Download","Blob","type","start","shouldPreserve","_isStarted","stop","removeCallback","isStarted"],"sources":["F:/workspace/202226701027/huinongbao-app/node_modules/@babylonjs/core/Misc/PerformanceViewer/performanceViewerCollector.js"],"sourcesContent":["import { EventState, Observable } from \"../observable.js\";\nimport { PrecisionDate } from \"../precisionDate.js\";\nimport { Tools } from \"../tools.js\";\nimport { DynamicFloat32Array } from \"./dynamicFloat32Array.js\";\n// the initial size of our array, should be a multiple of two!\nconst InitialArraySize = 1800;\n// three octets in a hexcode. #[AA][BB][CC], i.e. 24 bits of data.\nconst NumberOfBitsInHexcode = 24;\n// Allows single numeral hex numbers to be appended by a 0.\nconst HexPadding = \"0\";\n// header for the timestamp column\nconst TimestampColHeader = \"timestamp\";\n// header for the numPoints column\nconst NumPointsColHeader = \"numPoints\";\n// regex to capture all carriage returns in the string.\nconst CarriageReturnRegex = /\\r/g;\n// string to use as separator when exporting extra information along with the dataset id\nconst ExportedDataSeparator = \"@\";\n/**\n * The collector class handles the collection and storage of data into the appropriate array.\n * The collector also handles notifying any observers of any updates.\n */\nexport class PerformanceViewerCollector {\n /**\n * The offset for when actual data values start appearing inside a slice.\n */\n static get SliceDataOffset() {\n return 2;\n }\n /**\n * The offset for the value of the number of points inside a slice.\n */\n static get NumberOfPointsOffset() {\n return 1;\n }\n /**\n * Handles the creation of a performance viewer collector.\n * @param _scene the scene to collect on.\n * @param _enabledStrategyCallbacks the list of data to collect with callbacks for initialization purposes.\n */\n constructor(_scene, _enabledStrategyCallbacks) {\n this._scene = _scene;\n /**\n * Collects data for every dataset by using the appropriate strategy. This is called every frame.\n * This method will then notify all observers with the latest slice.\n */\n this._collectDataAtFrame = () => {\n const timestamp = PrecisionDate.Now - this._startingTimestamp;\n const numPoints = this.datasets.ids.length;\n // add the starting index for the slice\n const numberOfIndices = this.datasets.startingIndices.itemLength;\n let startingIndex = 0;\n if (numberOfIndices > 0) {\n const previousStartingIndex = this.datasets.startingIndices.at(numberOfIndices - 1);\n startingIndex =\n previousStartingIndex + this.datasets.data.at(previousStartingIndex + PerformanceViewerCollector.NumberOfPointsOffset) + PerformanceViewerCollector.SliceDataOffset;\n }\n this.datasets.startingIndices.push(startingIndex);\n // add the first 2 items in our slice.\n this.datasets.data.push(timestamp);\n this.datasets.data.push(numPoints);\n // add the values inside the slice.\n this.datasets.ids.forEach((id) => {\n const strategy = this._strategies.get(id);\n if (!strategy) {\n return;\n }\n this.datasets.data.push(strategy.getData());\n });\n if (this.datasetObservable.hasObservers()) {\n const slice = [timestamp, numPoints];\n for (let i = 0; i < numPoints; i++) {\n slice.push(this.datasets.data.at(startingIndex + PerformanceViewerCollector.SliceDataOffset + i));\n }\n this.datasetObservable.notifyObservers(slice);\n }\n };\n this.datasets = {\n ids: [],\n data: new DynamicFloat32Array(InitialArraySize),\n startingIndices: new DynamicFloat32Array(InitialArraySize),\n };\n this._strategies = new Map();\n this._datasetMeta = new Map();\n this._eventRestoreSet = new Set();\n this._customEventObservable = new Observable();\n this.datasetObservable = new Observable();\n this.metadataObservable = new Observable((observer) => observer.callback(this._datasetMeta, new EventState(0)));\n if (_enabledStrategyCallbacks) {\n this.addCollectionStrategies(..._enabledStrategyCallbacks);\n }\n }\n /**\n * Registers a custom string event which will be callable via sendEvent. This method returns an event object which will contain the id of the event.\n * The user can set a value optionally, which will be used in the sendEvent method. If the value is set, we will record this value at the end of each frame,\n * if not we will increment our counter and record the value of the counter at the end of each frame. The value recorded is 0 if no sendEvent method is called, within a frame.\n * @param name The name of the event to register\n * @param forceUpdate if the code should force add an event, and replace the last one.\n * @param category the category for that event\n * @returns The event registered, used in sendEvent\n */\n registerEvent(name, forceUpdate, category) {\n if (this._strategies.has(name) && !forceUpdate) {\n return;\n }\n if (this._strategies.has(name) && forceUpdate) {\n this._strategies.get(name)?.dispose();\n this._strategies.delete(name);\n }\n const strategy = (scene) => {\n let counter = 0;\n let value = 0;\n const afterRenderObserver = scene.onAfterRenderObservable.add(() => {\n value = counter;\n counter = 0;\n });\n const stringObserver = this._customEventObservable.add((eventVal) => {\n if (name !== eventVal.name) {\n return;\n }\n if (eventVal.value !== undefined) {\n counter = eventVal.value;\n }\n else {\n counter++;\n }\n });\n return {\n id: name,\n getData: () => value,\n dispose: () => {\n scene.onAfterRenderObservable.remove(afterRenderObserver);\n this._customEventObservable.remove(stringObserver);\n },\n };\n };\n const event = {\n name,\n };\n this._eventRestoreSet.add(name);\n this.addCollectionStrategies({ strategyCallback: strategy, category });\n return event;\n }\n /**\n * Lets the perf collector handle an event, occurences or event value depending on if the event.value params is set.\n * @param event the event to handle an occurence for\n */\n sendEvent(event) {\n this._customEventObservable.notifyObservers(event);\n }\n /**\n * This event restores all custom string events if necessary.\n */\n _restoreStringEvents() {\n if (this._eventRestoreSet.size !== this._customEventObservable.observers.length) {\n this._eventRestoreSet.forEach((event) => {\n this.registerEvent(event, true);\n });\n }\n }\n /**\n * This method adds additional collection strategies for data collection purposes.\n * @param strategyCallbacks the list of data to collect with callbacks.\n */\n addCollectionStrategies(...strategyCallbacks) {\n // eslint-disable-next-line prefer-const\n for (let { strategyCallback, category, hidden } of strategyCallbacks) {\n const strategy = strategyCallback(this._scene);\n if (this._strategies.has(strategy.id)) {\n strategy.dispose();\n continue;\n }\n this.datasets.ids.push(strategy.id);\n if (category) {\n category = category.replace(new RegExp(ExportedDataSeparator, \"g\"), \"\");\n }\n this._datasetMeta.set(strategy.id, {\n color: this._getHexColorFromId(strategy.id),\n category,\n hidden,\n });\n this._strategies.set(strategy.id, strategy);\n }\n this.metadataObservable.notifyObservers(this._datasetMeta);\n }\n /**\n * Gets a 6 character hexcode representing the colour from a passed in string.\n * @param id the string to get a hex code for.\n * @returns a hexcode hashed from the id.\n */\n _getHexColorFromId(id) {\n // this first bit is just a known way of hashing a string.\n let hash = 0;\n for (let i = 0; i < id.length; i++) {\n // (hash << 5) - hash is the same as hash * 31\n hash = id.charCodeAt(i) + ((hash << 5) - hash);\n }\n // then we build the string octet by octet.\n let hex = \"#\";\n for (let i = 0; i < NumberOfBitsInHexcode; i += 8) {\n const octet = (hash >> i) & 0xff;\n const toStr = HexPadding + octet.toString(16);\n hex += toStr.substring(toStr.length - 2);\n }\n return hex;\n }\n /**\n * Collects and then sends the latest slice to any observers by using the appropriate strategy when the user wants.\n * The slice will be of the form [timestamp, numberOfPoints, value1, value2...]\n * This method does not add onto the collected data accessible via the datasets variable.\n */\n getCurrentSlice() {\n const timestamp = PrecisionDate.Now - this._startingTimestamp;\n const numPoints = this.datasets.ids.length;\n const slice = [timestamp, numPoints];\n // add the values inside the slice.\n this.datasets.ids.forEach((id) => {\n const strategy = this._strategies.get(id);\n if (!strategy) {\n return;\n }\n if (this.datasetObservable.hasObservers()) {\n slice.push(strategy.getData());\n }\n });\n if (this.datasetObservable.hasObservers()) {\n this.datasetObservable.notifyObservers(slice);\n }\n }\n /**\n * Updates a property for a dataset's metadata with the value provided.\n * @param id the id of the dataset which needs its metadata updated.\n * @param prop the property to update.\n * @param value the value to update the property with.\n */\n updateMetadata(id, prop, value) {\n const meta = this._datasetMeta.get(id);\n if (!meta) {\n return;\n }\n meta[prop] = value;\n this.metadataObservable.notifyObservers(this._datasetMeta);\n }\n /**\n * Completely clear, data, ids, and strategies saved to this performance collector.\n * @param preserveStringEventsRestore if it should preserve the string events, by default will clear string events registered when called.\n */\n clear(preserveStringEventsRestore) {\n this.datasets.data = new DynamicFloat32Array(InitialArraySize);\n this.datasets.ids.length = 0;\n this.datasets.startingIndices = new DynamicFloat32Array(InitialArraySize);\n this._datasetMeta.clear();\n this._strategies.forEach((strategy) => strategy.dispose());\n this._strategies.clear();\n if (!preserveStringEventsRestore) {\n this._eventRestoreSet.clear();\n }\n this._hasLoadedData = false;\n }\n /**\n * Accessor which lets the caller know if the performance collector has data loaded from a file or not!\n * Call clear() to reset this value.\n * @returns true if the data is loaded from a file, false otherwise.\n */\n get hasLoadedData() {\n return this._hasLoadedData;\n }\n /**\n * Given a string containing file data, this function parses the file data into the datasets object.\n * It returns a boolean to indicate if this object was successfully loaded with the data.\n * @param data string content representing the file data.\n * @param keepDatasetMeta if it should use reuse the existing dataset metadata\n * @returns true if the data was successfully loaded, false otherwise.\n */\n loadFromFileData(data, keepDatasetMeta) {\n const lines = data\n .replace(CarriageReturnRegex, \"\")\n .split(\"\\n\")\n .map((line) => line.split(\",\").filter((s) => s.length > 0))\n .filter((line) => line.length > 0);\n const timestampIndex = 0;\n const numPointsIndex = PerformanceViewerCollector.NumberOfPointsOffset;\n if (lines.length < 2) {\n return false;\n }\n const parsedDatasets = {\n ids: [],\n data: new DynamicFloat32Array(InitialArraySize),\n startingIndices: new DynamicFloat32Array(InitialArraySize),\n };\n // parse first line separately to populate ids!\n const [firstLine, ...dataLines] = lines;\n // make sure we have the correct beginning headers\n if (firstLine.length < 2 || firstLine[timestampIndex] !== TimestampColHeader || firstLine[numPointsIndex] !== NumPointsColHeader) {\n return false;\n }\n const idCategoryMap = new Map();\n // populate the ids.\n for (let i = PerformanceViewerCollector.SliceDataOffset; i < firstLine.length; i++) {\n const [id, category] = firstLine[i].split(ExportedDataSeparator);\n parsedDatasets.ids.push(id);\n idCategoryMap.set(id, category);\n }\n let startingIndex = 0;\n for (const line of dataLines) {\n if (line.length < 2) {\n return false;\n }\n const timestamp = parseFloat(line[timestampIndex]);\n const numPoints = parseInt(line[numPointsIndex]);\n if (isNaN(numPoints) || isNaN(timestamp)) {\n return false;\n }\n parsedDatasets.data.push(timestamp);\n parsedDatasets.data.push(numPoints);\n if (numPoints + PerformanceViewerCollector.SliceDataOffset !== line.length) {\n return false;\n }\n for (let i = PerformanceViewerCollector.SliceDataOffset; i < line.length; i++) {\n const val = parseFloat(line[i]);\n if (isNaN(val)) {\n return false;\n }\n parsedDatasets.data.push(val);\n }\n parsedDatasets.startingIndices.push(startingIndex);\n startingIndex += line.length;\n }\n this.datasets.ids = parsedDatasets.ids;\n this.datasets.data = parsedDatasets.data;\n this.datasets.startingIndices = parsedDatasets.startingIndices;\n if (!keepDatasetMeta) {\n this._datasetMeta.clear();\n }\n this._strategies.forEach((strategy) => strategy.dispose());\n this._strategies.clear();\n // populate metadata.\n if (!keepDatasetMeta) {\n for (const id of this.datasets.ids) {\n const category = idCategoryMap.get(id);\n this._datasetMeta.set(id, { category, color: this._getHexColorFromId(id) });\n }\n }\n this.metadataObservable.notifyObservers(this._datasetMeta);\n this._hasLoadedData = true;\n return true;\n }\n /**\n * Exports the datasets inside of the collector to a csv.\n */\n exportDataToCsv() {\n let csvContent = \"\";\n // create the header line.\n csvContent += `${TimestampColHeader},${NumPointsColHeader}`;\n for (let i = 0; i < this.datasets.ids.length; i++) {\n csvContent += `,${this.datasets.ids[i]}`;\n if (this._datasetMeta) {\n const meta = this._datasetMeta.get(this.datasets.ids[i]);\n if (meta?.category) {\n csvContent += `${ExportedDataSeparator}${meta.category}`;\n }\n }\n }\n csvContent += \"\\n\";\n // create the data lines\n for (let i = 0; i < this.datasets.startingIndices.itemLength; i++) {\n const startingIndex = this.datasets.startingIndices.at(i);\n const timestamp = this.datasets.data.at(startingIndex);\n const numPoints = this.datasets.data.at(startingIndex + PerformanceViewerCollector.NumberOfPointsOffset);\n csvContent += `${timestamp},${numPoints}`;\n for (let offset = 0; offset < numPoints; offset++) {\n csvContent += `,${this.datasets.data.at(startingIndex + PerformanceViewerCollector.SliceDataOffset + offset)}`;\n }\n // add extra commas.\n for (let diff = 0; diff < this.datasets.ids.length - numPoints; diff++) {\n csvContent += \",\";\n }\n csvContent += \"\\n\";\n }\n const fileName = `${new Date().toISOString()}-perfdata.csv`;\n Tools.Download(new Blob([csvContent], { type: \"text/csv\" }), fileName);\n }\n /**\n * Starts the realtime collection of data.\n * @param shouldPreserve optional boolean param, if set will preserve the dataset between calls of start.\n */\n start(shouldPreserve) {\n if (!shouldPreserve) {\n this.datasets.data = new DynamicFloat32Array(InitialArraySize);\n this.datasets.startingIndices = new DynamicFloat32Array(InitialArraySize);\n this._startingTimestamp = PrecisionDate.Now;\n }\n else if (this._startingTimestamp === undefined) {\n this._startingTimestamp = PrecisionDate.Now;\n }\n this._scene.onAfterRenderObservable.add(this._collectDataAtFrame);\n this._restoreStringEvents();\n this._isStarted = true;\n }\n /**\n * Stops the collection of data.\n */\n stop() {\n this._scene.onAfterRenderObservable.removeCallback(this._collectDataAtFrame);\n this._isStarted = false;\n }\n /**\n * Returns if the perf collector has been started or not.\n */\n get isStarted() {\n return this._isStarted;\n }\n /**\n * Disposes of the object\n */\n dispose() {\n 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