diff --git a/.eslintrc.json b/.eslintrc.json new file mode 100644 index 0000000..1fe0a72 --- /dev/null +++ b/.eslintrc.json @@ -0,0 +1,20 @@ +{ + "env": { + "browser": true, + "es2021": true + }, + "extends": [ + "eslint:recommended", + "plugin:prettier/recommended" + ], + "plugins": ["prettier"], + "parserOptions": { + "ecmaVersion": "latest", + "sourceType": "module" + }, + "rules": { + "prettier/prettier": "error", + "no-unused-vars": "warn", + "no-console": "off" + } +} diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml new file mode 100644 index 0000000..61f6660 --- /dev/null +++ b/.github/workflows/deploy.yml @@ -0,0 +1,39 @@ +name: Deploy perceptron preview + +on: + push: + branches: + - feat/perceptron + +permissions: + contents: write + +jobs: + deploy: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - uses: pnpm/action-setup@v3 + with: + version: 9 + + - uses: actions/setup-node@v4 + with: + node-version: 18 + + - name: Install deps + run: pnpm install --frozen-lockfile + + - name: Build + env: + GITHUB_REF_NAME: ${{ github.ref_name }} + run: pnpm build + + - name: Deploy + uses: peaceiris/actions-gh-pages@v4 + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: ./dist + publish_branch: gh-pages + destination_dir: feat/perceptron \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..3d2fec6 --- /dev/null +++ b/.gitignore @@ -0,0 +1,6 @@ +dev/train/trainData/mnist/mnistTraindata_large.js +dev/train/trainData/mnist/mnist_train.csv +node_modules +dist +build +*.min.js \ No newline at end of file diff --git a/.idea/codeStyles/Project.xml b/.idea/codeStyles/Project.xml new file mode 100644 index 0000000..904225f --- /dev/null +++ b/.idea/codeStyles/Project.xml @@ -0,0 +1,48 @@ + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/codeStyles/codeStyleConfig.xml b/.idea/codeStyles/codeStyleConfig.xml new file mode 100644 index 0000000..79ee123 --- /dev/null +++ b/.idea/codeStyles/codeStyleConfig.xml @@ -0,0 +1,5 @@ + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..bd46cef --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,16 @@ + + + + \ No newline at end of file diff --git a/.idea/prettier.xml b/.idea/prettier.xml new file mode 100644 index 0000000..ea0f3cf --- /dev/null +++ b/.idea/prettier.xml @@ -0,0 +1,8 @@ + + + + + \ No newline at end of file diff --git a/.prettierrc b/.prettierrc new file mode 100644 index 0000000..bae74ff --- /dev/null +++ b/.prettierrc @@ -0,0 +1,7 @@ +{ + "printWidth": 100, + "tabWidth": 4, + "trailingComma": "all", + "singleQuote": true, + "semi": true +} \ No newline at end of file diff --git a/assets/eraser.png b/assets/eraser.png new file mode 100644 index 0000000..19ea888 Binary files /dev/null and b/assets/eraser.png differ diff --git a/assets/left_arrow.png b/assets/left_arrow.png new file mode 100644 index 0000000..2a2f658 Binary files /dev/null and b/assets/left_arrow.png differ diff --git a/assets/right_arrow.png b/assets/right_arrow.png new file mode 100644 index 0000000..6219672 Binary files /dev/null and b/assets/right_arrow.png differ diff --git a/dev/train/Tester.js b/dev/train/Tester.js new file mode 100644 index 0000000..195798d --- /dev/null +++ b/dev/train/Tester.js @@ -0,0 +1,44 @@ +import { Trainer } from './Trainer.js'; +// data sets +import { mnistTrainData } from './trainData/mnist/mnistTrainData.js'; +import { mnistTestData } from './trainData/mnist/mnistTestData.js'; +import { mnistTrainData_large } from './trainData/mnist/mnistTraindata_large.js'; + +// train canvasUtils +import { normalizeInputs, oneHotEncodeLabels } from './utils/trainDataHandler.js'; +import { saveWeightsAsJson } from './utils/saveWeightsAsJson.js'; + +// +export const tester = () => { + const networkConfig = { + inputNodes: 784, + hiddenNodes: 200, + outputNodes: 10, + learningRate: 0.15, + }; + const $NN = new Trainer({ + inputNodes: networkConfig.inputNodes, + hiddenNodes: networkConfig.hiddenNodes, + outputNodes: networkConfig.outputNodes, + learningRate: networkConfig.learningRate, + }); + + const inputs = normalizeInputs(mnistTrainData); + const targets = oneHotEncodeLabels(mnistTrainData, networkConfig); + + inputs.map((array, idx) => { + $NN.train(array, targets[idx]); + if (idx % 5000 === 0) console.log(`Training progress: ${idx}/60000`); + console.log('✅ training complete!'); + }); + + for (let i = 0; i < 9; i++) { + console.log('Query', mnistTestData[i][0]); + console.log($NN.query(normalizeInputs(mnistTestData)[i])); + } + + saveWeightsAsJson($NN.W_inputToHidden, $NN.W_hiddenToOutput); + console.log('✅ Weight Downloaded!'); +}; + +export default tester; diff --git a/dev/train/Trainer.js b/dev/train/Trainer.js new file mode 100644 index 0000000..0434c50 --- /dev/null +++ b/dev/train/Trainer.js @@ -0,0 +1,44 @@ +import { NeuralNetworkBase } from '../../src/core/NeuralNetworkBase.ts'; + +// matrix operations +import { matrixMultiply, transposeMatrix } from '../../src/core/ops/matrixOps.ts'; + +export class Trainer extends NeuralNetworkBase { + train(inputs, targets) { + // CNN operations + const { finalOutputs, hiddenOutputs } = this.feedForward(inputs); + // calculate errors + const output_errors = targets.map((v, idx) => v - finalOutputs[idx]).map((v) => [v]); // 출력 계층의 오차를 목표값 - 출력값으로 지정 + const hidden_errors = matrixMultiply(transposeMatrix(this.W_hiddenToOutput), output_errors); // 은닉 계층의 오차를 은닉-> 출력 계층의 가중치값과(W_hiddenToOutput.T) 출력 계층의 오차들을 재조합하여 계산 + + // activation function derivative + const activationDerivative_HtO = finalOutputs + .map((v) => 1.0 - v) + .map((v, idx) => v * finalOutputs[idx]); // hidden to output derivative + const outputGradient = activationDerivative_HtO + .map((v, idx) => v * output_errors[idx]) + .map((v) => [v]); + const W_HtO_Update = matrixMultiply(outputGradient, transposeMatrix(hiddenOutputs)).map( + (array) => array.map((v) => v * this.learningRate), + ); // 오차값을 이용해 은닉 계층과 출력 계층간의 가중치 업데이트 + + const activationDerivative_ItH = hiddenOutputs + .map((v) => 1.0 - v) + .map((v, idx) => v * hiddenOutputs[idx]); + const hiddenGradient = activationDerivative_ItH + .map((v, idx) => v * hidden_errors[idx]) + .map((v) => [v]); + const W_ItH_update = matrixMultiply( + hiddenGradient, + transposeMatrix(inputs.map((v) => [v])), + ).map((array) => array.map((v) => v * this.learningRate)); + + // update weights + this.W_hiddenToOutput = this.W_hiddenToOutput.map((row, i) => + row.map((v, j) => v + W_HtO_Update[i][j]), + ); + this.W_inputToHidden = this.W_inputToHidden.map((row, i) => + row.map((v, j) => v + W_ItH_update[i][j]), + ); + } +} diff --git a/dev/train/dataConverter/trainDataConverter.html b/dev/train/dataConverter/trainDataConverter.html new file mode 100644 index 0000000..566549b --- /dev/null +++ b/dev/train/dataConverter/trainDataConverter.html @@ -0,0 +1,10 @@ + + + + + Title + + + + + \ No newline at end of file diff --git a/dev/train/dataConverter/trainDataConverter.js b/dev/train/dataConverter/trainDataConverter.js new file mode 100644 index 0000000..e69de29 diff --git a/dev/train/trainData/mnist/mnistTestData.js b/dev/train/trainData/mnist/mnistTestData.js new file mode 100644 index 0000000..2a99f58 --- /dev/null +++ b/dev/train/trainData/mnist/mnistTestData.js @@ -0,0 +1,12 @@ +export const mnistTestData = [ + [7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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= { + W_inputToHidden, + W_hiddenToOutput + }; + + const json = JSON.stringify(data); + const blob = new Blob([json], { type: "application/json" }); + const url = URL.createObjectURL(blob); + + const a = document.createElement("a"); + a.href = url; + a.download = "preTrainedWeights.json"; + a.click(); + + URL.revokeObjectURL(url); +} \ No newline at end of file diff --git a/dev/train/utils/trainDataHandler.js b/dev/train/utils/trainDataHandler.js new file mode 100644 index 0000000..ce5dc0c --- /dev/null +++ b/dev/train/utils/trainDataHandler.js @@ -0,0 +1,19 @@ +export const normalizeInputs = (mnistTrainData) => { + const normalizedData = mnistTrainData.map(array => { + const [label, ...rest] = array; + const filteredArray = [...rest]; + const normalizedArray = filteredArray.map(v => (v/255)*0.99+0.01); + return normalizedArray; + }); + return normalizedData; +} + +export const oneHotEncodeLabels = (mnistTrainData, networkInfo) => { + const label = mnistTrainData.map(array => array[0]); + const targetData = [...label.map(v => { + let targetsArray = Array(networkInfo.outputNodes).fill(0.01); + targetsArray[v] = 0.99; + return targetsArray; + })] + return targetData; +} \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..e73b62e --- /dev/null +++ b/index.html @@ -0,0 +1,57 @@ + + + + + + + Neural Network Visualization + + + + + + +
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\ No newline at end of file diff --git a/src/controller/AppController.ts b/src/controller/AppController.ts new file mode 100644 index 0000000..038b08f --- /dev/null +++ b/src/controller/AppController.ts @@ -0,0 +1,75 @@ +import WeightManager from '@/core/WeightManager.ts'; +import NeuralNetworkBase from '@/core/NeuralNetworkBase.ts'; +import QueryProcessController from './queryPipeline/QueryProcessController.ts'; +import PerceptronController from '@/controller/perceptron/PerceptronController.ts'; +import BaseCanvas from '@/view/components/perceptron/BaseCanvas.ts'; +import UserInputCanvas from '@/view/components/userQuery/UserInputCanvas.ts'; +import PathTrackingCanvas from '@/view/components/userQuery/PathTrackingCanvas.ts'; +import AlignCanvas from '@/view/components/userQuery/AlignCanvas.ts'; +import ResizeCanvas from '@/view/components/userQuery/ResizeCanvas.ts'; +import DataStore from './DataStore.ts'; + +import DrawingEventHandler from './queryPipeline/DrawingEventHandler.js'; +import NodeRenderer from '@/view/components/perceptron/NodeRenderer.ts'; + +import eventBus from './EventBus.ts'; +import { DATA_EVENTS, HANDLER_EVENTS } from './constants/events.ts'; +import { NETWORK_CONFIG } from './constants/networkConfig.ts'; +import { IWeightManager } from '@/core/types/WeightManager.ts'; +import { INeuralNetworkBase } from '@/core/types/NeuralNetworkBase.ts'; +import { IDataStore } from './types/DataStore.ts'; +import { Matrix2D } from '@/core/ops/types/OpsType.ts'; +import { NodeHandler } from '@/controller/perceptron/NodeHandler.ts'; +import EdgeHandler from '@/controller/perceptron/EdgeHandler.ts'; +import ScrollEventHandler from '@/controller/perceptron/ScrollEventHandler.ts'; +import EdgeRenderer from '@/view/components/perceptron/EdgeRenderer.ts'; +import GridRenderer from '@/view/components/perceptron/GridRenderer.ts'; +import GridHandler from '@/controller/perceptron/GridHandler.ts'; +import ViewPresenter from '@/view/ViewPresenter.ts'; +import ViewportAdapter from '@/view/styles/ViewportAdapter.ts'; + +class AppController { + private $WM: IWeightManager; + private $NN: INeuralNetworkBase; + private $DS: IDataStore; + + async initialize() { + const $WM = new WeightManager(NETWORK_CONFIG); + const $NN = new NeuralNetworkBase(await $WM.getWeights()); + const $DS = DataStore; + new DrawingEventHandler(); + const $QC = new QueryProcessController({ + userInputCanvas: new UserInputCanvas(), + trackingCanvas: new PathTrackingCanvas(), + alignCanvas: new AlignCanvas(), + resizeCanvas: new ResizeCanvas(), + $NN: $NN, + }); + + new ViewportAdapter(); + const perceptronBaseCanvas = new BaseCanvas(); + const nodeRenderer = new NodeRenderer(perceptronBaseCanvas.getCtx()); + const nodeHandler = new NodeHandler({ + networkConfig: NETWORK_CONFIG, + nodeRenderer, + perceptronBaseCanvas, + }); + const edgeRenderer = new EdgeRenderer(perceptronBaseCanvas.getCtx()); + const edgeHandler = new EdgeHandler({ edgeRenderer, perceptronBaseCanvas }); + const gridRenderer = new GridRenderer(perceptronBaseCanvas.getCtx()); + const gridHandler = new GridHandler({ gridRenderer, perceptronBaseCanvas }); + const $PC = new PerceptronController({ + NodeRenderer: nodeRenderer, + EdgeRenderer: edgeRenderer, + GridRenderer: gridRenderer, + NodeHandler: nodeHandler, + EdgeHandler: edgeHandler, + GridHandler: gridHandler, + BaseCanvas: perceptronBaseCanvas, + ScrollEventHandler: new ScrollEventHandler(perceptronBaseCanvas), + }); + new ViewPresenter(); + } +} + +export default AppController; diff --git a/src/controller/DataStore.ts b/src/controller/DataStore.ts new file mode 100644 index 0000000..2d8d4d7 --- /dev/null +++ b/src/controller/DataStore.ts @@ -0,0 +1,70 @@ +import eventBus from './EventBus.js'; +import { DATA_EVENTS } from './constants/events.js'; +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; +const { displayNodes, displayEdges } = RENDERER_CONFIG; + +import { nodeState } from './types/DataStore'; +import { Matrix2D } from '@/core/ops/types/OpsType.ts'; +import { NodeObjectSet } from '@/controller/perceptron/types/nodeObjectSet.ts'; + +class DataStore { + private queryInfo: number[] | null = null; + private nodeState: nodeState | null = null; + private queryResult: Matrix2D | null = null; + + private PERCEPTRON_CONFIG: { displayNodes: number; displayEdges: number } = null; + + constructor() { + this.queryInfo = null; + this.nodeState = null; + this.queryResult = null; + + this.PERCEPTRON_CONFIG = { displayNodes: displayNodes, displayEdges: displayEdges }; + } + + setQueryInfo(queryInfo: number[]): void { + if (queryInfo === null) throw new Error('No query info found'); + this.queryInfo = queryInfo; + eventBus.emit(DATA_EVENTS.QUERY_CHANGED, this.queryInfo); + } + getQueryInfo(): number[] { + return this.queryInfo; + } + + setNodeState(nodeState: nodeState): void { + if (nodeState === null) throw new Error('No node state found'); + this.nodeState = nodeState; + eventBus.emit(DATA_EVENTS.NODE_CHANGED, { + inputs: nodeState.inputs, + hiddenOutputs: nodeState.hiddenOutputs, + finalOutputs: nodeState.finalOutputs, + }); + } + getNodeState(): nodeState { + return this.nodeState; + } + + setQueryResult(queryResult: Matrix2D): void { + if (queryResult === null) throw new Error('No query result found'); + this.queryResult = queryResult; + eventBus.emit(DATA_EVENTS.RESULT_CHANGED, queryResult); + } + getQueryResult(): Matrix2D | null { + return this.queryResult; + } + + setPerceptronConfig(perceptronConfig: { displayNodes: number; displayEdges: number }): void { + this.PERCEPTRON_CONFIG = perceptronConfig; + } + getPerceptronConfig(): { displayNodes: number; displayEdges: number } { + return this.PERCEPTRON_CONFIG; + } + + resetPerceptronState(): void { + this.queryInfo = null; + this.nodeState = null; + this.queryResult = null; + } +} + +export default new DataStore(); diff --git a/src/controller/EventBus.ts b/src/controller/EventBus.ts new file mode 100644 index 0000000..ffe271f --- /dev/null +++ b/src/controller/EventBus.ts @@ -0,0 +1,33 @@ +import { IEventBus } from './types/eventBus'; +import { eventPayloads } from './types/eventBus'; + +const EventBus: IEventBus = { + events: {}, + + on( + eventName: K, + subscriber: (payload: eventPayloads[K]) => any, + ): void { + if (!this.events[eventName]) this.events[eventName] = []; + this.events[eventName].push(subscriber); + }, + + off( + eventName: K, + subscriber: (payload: eventPayloads[K]) => any, + ): void { + if (!this.events[eventName]) return; + this.events[eventName] = this.events[eventName].filter( + (fn: (payload: eventPayloads[K]) => void): boolean => fn !== subscriber, + ); + }, + + emit(eventName: K, payload: eventPayloads[K]): void { + if (!this.events[eventName]) return; + this.events[eventName].forEach((fn: (payload: eventPayloads[K]) => any): any => + fn(payload), + ); + }, +}; + +export default EventBus; diff --git a/src/controller/constants/canvasConfig.ts b/src/controller/constants/canvasConfig.ts new file mode 100644 index 0000000..dbca9a0 --- /dev/null +++ b/src/controller/constants/canvasConfig.ts @@ -0,0 +1,7 @@ +export const CANVAS_CONFIG = Object.freeze({ + lineWidth: 20, + lineCap: 'round', + lineJoin: 'round', +} as const); + +export type CanvasConfig = (typeof CANVAS_CONFIG)[keyof typeof CANVAS_CONFIG]; diff --git a/src/controller/constants/events.ts b/src/controller/constants/events.ts new file mode 100644 index 0000000..84b6cf1 --- /dev/null +++ b/src/controller/constants/events.ts @@ -0,0 +1,31 @@ +export const DATA_EVENTS = Object.freeze({ + QUERY_UPDATE: 'query:update', + QUERY_CHANGED: 'query:changed', + NODE_UPDATE: 'node:update', + NODE_CHANGED: 'node:changed', + RESULT_UPDATE: 'result:update', + RESULT_CHANGED: 'result:changed', +} as const); + +export const HANDLER_EVENTS = Object.freeze({ + APP_READY: 'app:ready', + NN_INITIALIZE: 'nn:initialize', + ICH_INITIALIZE: 'ich:initialize', +} as const); + +export const SCROLL_EVENTS = Object.freeze({ + SCROLL_CHANGED: 'scroll:changed', + TOUCH_CHANGED: 'touch:changed', +}); + +export const DRAWING_EVENTS = Object.freeze({ + START_DRAW: 'draw:start', + DRAW: 'draw:drawing', + END_DRAW: 'draw:end', + CLEAR_DRAW: 'draw:clear', + BOUNDINGBOX_UPDATE: 'boundingbox:update', +} as const); + +export type DataEvent = (typeof DATA_EVENTS)[keyof typeof DATA_EVENTS]; +export type HandlerEvent = (typeof DATA_EVENTS)[keyof typeof DATA_EVENTS]; +export type DrawingEvent = (typeof DATA_EVENTS)[keyof typeof DATA_EVENTS]; diff --git a/src/controller/constants/networkConfig.ts b/src/controller/constants/networkConfig.ts new file mode 100644 index 0000000..e759116 --- /dev/null +++ b/src/controller/constants/networkConfig.ts @@ -0,0 +1,7 @@ +import { networkConfig } from './types/networkConfig'; + +export const NETWORK_CONFIG: networkConfig = { + inputNodes: 784, + hiddenNodes: 200, + outputNodes: 10, +}; diff --git a/src/controller/constants/rendererConfig.ts b/src/controller/constants/rendererConfig.ts new file mode 100644 index 0000000..2b340cb --- /dev/null +++ b/src/controller/constants/rendererConfig.ts @@ -0,0 +1,12 @@ +import { rendererConfig } from '@/controller/constants/types/rendererConfig.ts'; + +export const RENDERER_CONFIG: rendererConfig = { + rotationDelta: 1.7, // 노드간 기본 간격 + degree: Math.PI / 180, // 1도(radian -> degree) + mouseScroll: 1, // 마우스 스크롤 값 + displayNodes: 29, // 화면에 표시할 노드의 개수 + displayEdges: 15, // 각 노드당 연결될 간선의 개수 + scrollDivider: 4, // 스크롤 n틱당 노드 한개 표시(ex. 스크롤 4번시 캔버스 회전) + gridWidth: 1, // 그리드간 간격 + layerHeight: [600, 635, 670], // 노드의 레이어당 높이(distance from center) +}; diff --git a/src/controller/constants/types/events.ts b/src/controller/constants/types/events.ts new file mode 100644 index 0000000..e69de29 diff --git a/src/controller/constants/types/networkConfig.ts b/src/controller/constants/types/networkConfig.ts new file mode 100644 index 0000000..5baddcd --- /dev/null +++ b/src/controller/constants/types/networkConfig.ts @@ -0,0 +1,5 @@ +export interface networkConfig { + inputNodes: number; + hiddenNodes: number; + outputNodes: number; +} diff --git a/src/controller/constants/types/rendererConfig.ts b/src/controller/constants/types/rendererConfig.ts new file mode 100644 index 0000000..070610c --- /dev/null +++ b/src/controller/constants/types/rendererConfig.ts @@ -0,0 +1,10 @@ +export interface rendererConfig { + rotationDelta: number; + degree: number; + mouseScroll: number; + displayNodes: number; + displayEdges: number; + scrollDivider: number; + gridWidth: number; + layerHeight: number[]; +} diff --git a/src/controller/perceptron/EdgeHandler.ts b/src/controller/perceptron/EdgeHandler.ts new file mode 100644 index 0000000..b866f76 --- /dev/null +++ b/src/controller/perceptron/EdgeHandler.ts @@ -0,0 +1,47 @@ +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; +const { displayEdges } = RENDERER_CONFIG; + +class EdgeHandler { + private EdgeRenderer: IEdgeRenderer; + private BaseCanvas: IBaseCanvas; + + constructor({ + edgeRenderer, + perceptronBaseCanvas, + }: { + edgeRenderer: IEdgeRenderer; + perceptronBaseCanvas: IBaseCanvas; + }) { + this.EdgeRenderer = edgeRenderer; + this.BaseCanvas = perceptronBaseCanvas; + } + + render(anchorPosition: any): void { + const layerKeysList = Object.keys(anchorPosition); + + const subsetByRatio = (arr: any[], ratio: number, size: number) => { + if (!Array.isArray(arr) || arr.length === 0) return []; + const maxStart = Math.max(arr.length - size, 0); + const start = Math.floor(ratio * maxStart); + return arr.slice(start, start + size); + }; + + layerKeysList.slice(0, -1).flatMap((layerKey, index) => { + const current = anchorPosition[layerKey] ?? []; + const next = anchorPosition[layerKeysList[index + 1]] ?? []; + + return current + .flatMap((a, aIndex) => { + const ratio = current.length <= 1 ? 0 : aIndex / (current.length - 1); + const subset = subsetByRatio(next, ratio, displayEdges); + + return subset.map((b) => [a, b]); + }) + .forEach(([a, b]) => { + this.EdgeRenderer.drawEdge(a.posX, a.posY, b.posX, b.posY); + }); + }); + } +} + +export default EdgeHandler; diff --git a/src/controller/perceptron/GridHandler.ts b/src/controller/perceptron/GridHandler.ts new file mode 100644 index 0000000..b8690f6 --- /dev/null +++ b/src/controller/perceptron/GridHandler.ts @@ -0,0 +1,60 @@ +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; +const { degree } = RENDERER_CONFIG; + +class GridHandler { + private GridRenderer: IGridRenderer; + private BaseCanvas: IBaseCanvas; + + constructor({ + gridRenderer, + perceptronBaseCanvas, + }: { + gridRenderer: IGridRenderer; + perceptronBaseCanvas: IBaseCanvas; + }) { + this.GridRenderer = gridRenderer; + this.BaseCanvas = perceptronBaseCanvas; + } + + renderLayout(anchorPosition: any): void { + this.GridRenderer.drawArc(710); + + const referenceIndex = 3; // 가운데 위치를 잡기 위한 index값 + const textRenderCodition: boolean = anchorPosition.outputLayer[referenceIndex] != undefined; + if (textRenderCodition) { + // output layer가 화면에 렌더링될때만 텍스트 표기(렌더링 엔진의 특성상 현재 렌더링되고 있는 노드만 array로 들어옴.) + // ex. 현재의 경우 3번째 레이어가 화면에서 벗어나면 화면에 렌더링된 노드는 2개이므로 length가 2. 3번째 index 를 참조할 수 없음. + this.drawText( + anchorPosition.outputLayer[referenceIndex].posX + 10, + anchorPosition.outputLayer[referenceIndex].posY - 90, + anchorPosition.outputLayer[referenceIndex].angleOffset, + 'Input Nodes', + ); + + this.drawText( + anchorPosition.outputLayer[referenceIndex].posX + 10, + anchorPosition.outputLayer[referenceIndex].posY + 12, + anchorPosition.outputLayer[referenceIndex].angleOffset, + 'Output Nodes', + ); + } + } + renderGrid(gridIndex: number): void { + const gridLength: 10 | 8 = gridIndex % 2 === 0 ? 10 : 8; + this.GridRenderer.drawGrid(560, gridLength); //bottom-side gird + this.GridRenderer.drawGrid(710, -gridLength); //top-side grid + } + + drawText(x: number, y: number, angleOffset: number, text: string): void { + this.BaseCanvas.saveState(); + this.BaseCanvas.moveCanvas(x, y); + this.BaseCanvas.rotateCanvas(true, ((angleOffset * Math.PI) / 180) * 1.01); + this.BaseCanvas.rotateCanvas(true, degree * 90); + this.BaseCanvas.getCtx().fillStyle = 'rgb(133,133,133)'; + this.BaseCanvas.getCtx().fillText(`${text}`, 0, 0); + this.BaseCanvas.getCtx().fillStyle = 'rgb(255, 255, 255)'; + this.BaseCanvas.restoreState(); + } +} + +export default GridHandler; diff --git a/src/controller/perceptron/NodeHandler.ts b/src/controller/perceptron/NodeHandler.ts new file mode 100644 index 0000000..94e8988 --- /dev/null +++ b/src/controller/perceptron/NodeHandler.ts @@ -0,0 +1,85 @@ +import { networkConfig } from '@/controller/constants/types/networkConfig.ts'; +import { Node } from '@/view/components/perceptron/objectClass/Node.ts'; +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; + +import eventBus from '@/controller/eventBus.ts'; +import { SCROLL_EVENTS } from '@/controller/constants/events.ts'; +import { nodeObjectSet } from '@/controller/perceptron/types/nodeObjectSet.ts'; +import { nodeState } from '@/controller/types/DataStore.ts'; +import { compressArr } from '@/controller/perceptron/utils/compressArr.ts'; + +export class NodeHandler { + private readonly nodeObjectSet: nodeObjectSet; + private displayNodes: number; + private NodeRenderer: INodeRenderer; + private BaseCanvas: IBaseCanvas; + + constructor({ + networkConfig, + nodeRenderer, + perceptronBaseCanvas, + }: { + networkConfig: networkConfig; + nodeRenderer: INodeRenderer; + perceptronBaseCanvas: IBaseCanvas; + }) { + this.nodeObjectSet = { + inputNodes: undefined, + hiddenNodes: undefined, + outputNodes: undefined, + }; + this.NodeRenderer = nodeRenderer; + this.BaseCanvas = perceptronBaseCanvas; + } + + initializeNode(networkInfo: any): any { + Object.keys(this.nodeObjectSet).forEach((key: string) => { + this.nodeObjectSet[key] = Array.from({ length: networkInfo[key] }, (v, i) => { + return new Node(0); + }); + }); + return this.nodeObjectSet; + } + + updateNode(changedNodeState: nodeState): nodeObjectSet { + const { inputs, ...rest } = changedNodeState; + const compressedChangedNodeState = { inputs: compressArr(inputs), ...rest }; + + const keys: string[] = Object.keys(compressedChangedNodeState); + keys.forEach((key: string) => { + compressedChangedNodeState[key].flatMap((e: number, i: number) => { + if (key === 'inputs') this.nodeObjectSet.inputNodes[i].setValue(e * 100); + if (key === 'hiddenOutputs') this.nodeObjectSet.hiddenNodes[i].setValue(e * 100); + if (key === 'finalOutputs') this.nodeObjectSet.outputNodes[i].setValue(e * 100); + }); + }); + return this.nodeObjectSet; + // TODO: ScrollEventHandler 싱글톤으로 변경하기 -> 보류(결정 문서 참고) + } + + resetNode(): nodeObjectSet { + const keys = Object.keys(this.nodeObjectSet); + + keys.forEach((key: string) => { + this.nodeObjectSet[key].forEach((_: unknown, i: number) => { + this.nodeObjectSet[key][i].setValue(0); + }); + }); + + return this.nodeObjectSet; + } + + render(anchorPosition: any): void { + Object.keys(anchorPosition).forEach((key: string) => { + const layerSize = anchorPosition[key].length; + Array.from({ length: layerSize }, (_, i) => { + this.NodeRenderer.drawNode( + anchorPosition[key][i].posX, + anchorPosition[key][i].posY, + anchorPosition[key][i].angleOffset, + anchorPosition[key][i].percent, + ); + }); + }); + } +} diff --git a/src/controller/perceptron/PerceptronController.ts b/src/controller/perceptron/PerceptronController.ts new file mode 100644 index 0000000..1b95b93 --- /dev/null +++ b/src/controller/perceptron/PerceptronController.ts @@ -0,0 +1,175 @@ +import { IPerceptronControllerProps } from '@/controller/perceptron/types/PerceptronController.ts'; +import { NodeHandler } from '@/controller/perceptron/NodeHandler.ts'; +import { EdgePositionHandler } from '@/controller/perceptron/EdgeHandler.ts'; +import { + DATA_EVENTS, + DataEvent, + DRAWING_EVENTS, + SCROLL_EVENTS, +} from '@/controller/constants/events.ts'; +import eventBus from '@/controller/EventBus.ts'; +import { eventPayloads } from '@/controller/types/eventBus.ts'; +import { compressArr } from '@/controller/perceptron/utils/compressArr.ts'; + +import { NETWORK_CONFIG } from '@/controller/constants/networkConfig'; +import { normalizeNetworkConfig } from '@/controller/perceptron/utils/normalizeNetworkInfo.ts'; + +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; +const { rotationDelta, degree, displayNodes, scrollDivider, gridWidth, layerHeight } = + RENDERER_CONFIG; +import BaseCanvas from '@/view/components/perceptron/BaseCanvas.ts'; + +import { NodeObjectSet } from '@/controller/perceptron/types/nodeObjectSet.ts'; +import { findWidestLayer } from '@/controller/perceptron/utils/findWidestLayer.ts'; +import { IDataStore, nodeState } from '@/controller/types/DataStore.ts'; +import DataStore from '@/controller/DataStore.ts'; +class PerceptronController { + private $DS: IDataStore; + private NodeRenderer: INodeRenderer; + private NodeHandler: INodeHandler; + private EdgeHandler: IEdgeHandler; + private GridHandler: IGridHandler; + private BaseCanvas: IBaseCanvas; + private ScrollEventHandler: IScrollEventHandler; + + private normalizedNetworkInfo: any; + private nodeObjectSet: NodeObjectSet; + private anchorPosition: { inputLayer: number[]; hiddenLayer: number[]; outputLayer: number[] }; + private anchorPosKeys: string[] = ['inputLayer', 'hiddenLayer', 'outputLayer']; + private widestLayerSize?: number; + + constructor({ + NodeRenderer, + NodeHandler, + EdgeHandler, + GridHandler, + BaseCanvas, + ScrollEventHandler, + }: IPerceptronControllerProps) { + this.$DS = DataStore; + this.NodeRenderer = NodeRenderer; + this.NodeHandler = NodeHandler; + this.EdgeHandler = EdgeHandler; + this.GridHandler = GridHandler; + this.BaseCanvas = BaseCanvas; + this.ScrollEventHandler = ScrollEventHandler; + + this.anchorPosition = { inputLayer: [], hiddenLayer: [], outputLayer: [] }; + + this.initializeNodeValue(); + this.registerScrollEvent(); + this.calculateNodePosition(0); + this.calculateGridPosition(); + this.updatePerceptron(); + this.resetPerceptron(); + } + + initializeNodeValue() { + this.normalizedNetworkInfo = normalizeNetworkConfig(NETWORK_CONFIG); // 원활한 시각화를 위해 입력 레이어의 크기를 compress + this.nodeObjectSet = this.NodeHandler.initializeNode(this.normalizedNetworkInfo); // 시각화된 노드들의 기본값 할당 + const { value: widestLayer } = findWidestLayer(this.normalizedNetworkInfo); // 현재 perceptron에 가장 큰 layer 크기 가져오기 + this.widestLayerSize = widestLayer; // 그리드 렌더링에 layer 크기 활용 + } + + registerScrollEvent() { + eventBus.on(SCROLL_EVENTS.SCROLL_CHANGED, (scroll: number) => { + this.calculateNodePosition(scroll); + this.calculateGridPosition(); + }); + eventBus.on(SCROLL_EVENTS.TOUCH_CHANGED, (scroll: number) => { + this.calculateNodePosition(scroll); + this.calculateGridPosition(); + }); + } + + calculateNodePosition(scroll: number) { + this.anchorPosition = { inputLayer: [], hiddenLayer: [], outputLayer: [] }; + Object.keys(this.normalizedNetworkInfo).map((key: string, layerIndex: number) => { + this.BaseCanvas.saveState(); + + const rotateCenterPosition = + degree * 90 - (degree * rotationDelta * this.normalizedNetworkInfo[key]) / 2; + const scrollDividerInterpolation = degree * rotationDelta; + this.BaseCanvas.rotateCanvas(true, rotateCenterPosition + scrollDividerInterpolation); + + const layerSize = this.normalizedNetworkInfo[key]; + + Array.from({ length: layerSize }, (_: unknown, nodeIndex: number) => nodeIndex).map( + (nodeIndex) => { + const scrollOffset = scroll / scrollDivider; + const displayStart = + layerSize / 2 - + DataStore.getPerceptronConfig().displayNodes / 2 + + scrollOffset; + const displayEnd = + layerSize / 2 + + DataStore.getPerceptronConfig().displayNodes / 2 + + scrollOffset; + + console.log(); + + const displayCondition = nodeIndex >= displayStart && nodeIndex < displayEnd; + + this.BaseCanvas.saveState(); + + if (displayCondition) { + this.BaseCanvas.rotateCanvas(true, degree * rotationDelta * nodeIndex); + const currentMatrix = this.BaseCanvas.getCtx().getTransform(); + const globalMatrix = this.BaseCanvas.setupMatrix.multiply(currentMatrix); + + const global = globalMatrix.transformPoint( + new DOMPoint(layerHeight[layerIndex], 0), + ); + const angle = Math.atan2(globalMatrix.b, globalMatrix.a); + const angleOffset = angle * (180 / Math.PI); + + const percent = this.nodeObjectSet[key][nodeIndex].getValue(); + this.anchorPosition[this.anchorPosKeys[layerIndex]].push({ + posX: global.x, + posY: global.y, + angleOffset: angleOffset, + percent: percent, + }); + } else { + this.BaseCanvas.rotateCanvas(true, degree * rotationDelta * nodeIndex); + } + this.BaseCanvas.restoreState(); + }, + ); + this.BaseCanvas.restoreState(); + }); + this.BaseCanvas.clearCanvas(); + this.EdgeHandler.render(this.anchorPosition); + this.NodeHandler.render(this.anchorPosition); + } + + calculateGridPosition() { + const displayGird = this.widestLayerSize; + this.BaseCanvas.saveState(); + this.BaseCanvas.rotateCanvas(true, degree - (degree * gridWidth * displayGird) / 2); + Array.from({ length: displayGird }, (_: unknown, gridIndex: number) => { + this.BaseCanvas.rotateCanvas(true, degree * gridWidth); + this.GridHandler.renderGrid(gridIndex); + }); + this.BaseCanvas.restoreState(); + this.GridHandler.renderLayout(this.anchorPosition); + } + + updatePerceptron() { + eventBus.on(DATA_EVENTS.NODE_CHANGED, (changedNodeState: nodeState) => { + this.nodeObjectSet = this.NodeHandler.updateNode(changedNodeState); + this.calculateNodePosition(this.ScrollEventHandler.getScroll()); + this.calculateGridPosition(); + }); + } + + resetPerceptron() { + eventBus.on(DRAWING_EVENTS.CLEAR_DRAW, () => { + this.nodeObjectSet = this.NodeHandler.resetNode(); + this.calculateNodePosition(this.ScrollEventHandler.getScroll()); + this.calculateGridPosition(); + }); + } +} + +export default PerceptronController; diff --git a/src/controller/perceptron/ScrollEventHandler.ts b/src/controller/perceptron/ScrollEventHandler.ts new file mode 100644 index 0000000..f697cf2 --- /dev/null +++ b/src/controller/perceptron/ScrollEventHandler.ts @@ -0,0 +1,108 @@ +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; +import { NETWORK_CONFIG } from '@/controller/constants/networkConfig.ts'; + +import eventBus from '@/controller/EventBus.ts'; +import { SCROLL_EVENTS } from '@/controller/constants/events.ts'; +import { normalizeNetworkConfig } from '@/controller/perceptron/utils/normalizeNetworkInfo.ts'; +import { findWidestLayer } from '@/controller/perceptron/utils/findWidestLayer.ts'; + +const { degree, rotationDelta, displayNodes, scrollDivider } = RENDERER_CONFIG; + +class ScrollEventHandler { + private BaseCanvas: IBaseCanvas; + private readonly canvasEl: HTMLCanvasElement; + + private scroll: number; + private touchDirectionX: number; + private touchDirectionY: number; + private rotationStack: number; + + private widestLayer: number; + private leftLimit: number; + private rightLimit: number; + private leftScrollLimit: boolean; + private rightScrollLimit: boolean; + + constructor(BaseCanvas: IBaseCanvas) { + this.BaseCanvas = BaseCanvas; + this.canvasEl = BaseCanvas.getCanvas(); // perceptron base canvas + + this.scroll = 0; + this.touchDirection = 0; + + this.widestLayer = 0; + this.leftScrollLimit = true; + this.rightScrollLimit = true; + + this.registerEvent(); + } + + registerEvent() { + this.calculateScrollLimit(); + this.handleMouseScroll(); + this.handleTouchMove(); + } + + calculateScrollLimit(): void { + const normalizedNetworkInfo = normalizeNetworkConfig(NETWORK_CONFIG); + const { value: widestLayer } = findWidestLayer(normalizedNetworkInfo); // 스크롤 최대치 계산을 위한 가장 큰 노드의 폭을 계산 + this.rightLimit = (widestLayer / 2 - displayNodes) * scrollDivider * 1.25; + this.leftLimit = -this.rightLimit; + } + + handleMouseScroll(): void { + this.canvasEl.addEventListener('wheel', (e: WheelEvent) => { + this.rightScrollLimit = this.scroll <= this.rightLimit; + this.leftScrollLimit = this.scroll >= this.leftLimit; + + if (e.deltaY > 0 && this.rightScrollLimit) { + this.BaseCanvas.rotateCanvas(false, degree * (rotationDelta / (scrollDivider * 2))); + this.scroll += 1; + this.rotationStack += 1; + eventBus.emit(SCROLL_EVENTS.SCROLL_CHANGED, this.scroll); + } else if (e.deltaY < 0 && this.leftScrollLimit) { + this.BaseCanvas.rotateCanvas(true, degree * (rotationDelta / (scrollDivider * 2))); + this.scroll -= 1; + this.rotationStack -= 1; + eventBus.emit(SCROLL_EVENTS.SCROLL_CHANGED, this.scroll); + } + }); + } + handleTouchMove(): void { + let touchStartX: number = 0; + let touchStartY: number = 0; + this.canvasEl.addEventListener('touchstart', (e: TouchEvent) => { + const touch = e.touches[0]; + touchStartX = Math.floor(touch.clientX); + touchStartY = Math.floor(touch.clientY); + }); + this.canvasEl.addEventListener('touchmove', (e: TouchEvent) => { + const touch = e.touches[0]; + const moveX = Math.floor(touch.clientX); + const moveY = Math.floor(touch.clientY); + this.touchDirectionX = moveX - touchStartX; + this.touchDirectionY = moveY - touchStartY; + + if (Math.abs(this.touchDirectionX) < Math.abs(this.touchDirectionY)) return; + + this.rightScrollLimit = this.scroll <= this.rightLimit; + this.leftScrollLimit = this.scroll >= this.leftLimit; + + if (this.touchDirectionX < 0 && this.rightScrollLimit) { + this.BaseCanvas.rotateCanvas(false, degree * (rotationDelta / (scrollDivider * 2))); + this.scroll += 1; + this.rotationStack += 1; + eventBus.emit(SCROLL_EVENTS.TOUCH_CHANGED, this.scroll); + } else if (this.touchDirectionX > 0 && this.leftScrollLimit) { + this.BaseCanvas.rotateCanvas(true, degree * (rotationDelta / (scrollDivider * 2))); + this.scroll -= 1; + this.rotationStack -= 1; + eventBus.emit(SCROLL_EVENTS.TOUCH_CHANGED, this.scroll); + } + }); + } + + getScroll = () => this.scroll; +} + +export default ScrollEventHandler; diff --git a/src/controller/perceptron/types/PerceptronController.ts b/src/controller/perceptron/types/PerceptronController.ts new file mode 100644 index 0000000..c11a555 --- /dev/null +++ b/src/controller/perceptron/types/PerceptronController.ts @@ -0,0 +1,10 @@ +export interface IPerceptronControllerProps { + NodeRenderer: INodeRenderer; + EdgeRenderer: IEdgeRenderer; + GridRenderer: IGridRenderer; + NodeHandler: INodeHandler; + EdgeHandler: INdgeHandler; + GridHandler: IGridHandler; + BaseCanvas: IBasecanvas; + ScrollEventHandler: IScrollEventHandler; +} diff --git a/src/controller/perceptron/types/nodeObjectSet.ts b/src/controller/perceptron/types/nodeObjectSet.ts new file mode 100644 index 0000000..13a09cc --- /dev/null +++ b/src/controller/perceptron/types/nodeObjectSet.ts @@ -0,0 +1,7 @@ +import { Node } from '@/view/components/perceptron/objectClass/Node.ts'; + +export interface NodeObjectSet { + inputNodes: Array; + hiddenNodes: Array; + outputNodes: Array; +} diff --git a/src/controller/perceptron/utils/compressArr.ts b/src/controller/perceptron/utils/compressArr.ts new file mode 100644 index 0000000..273493f --- /dev/null +++ b/src/controller/perceptron/utils/compressArr.ts @@ -0,0 +1,9 @@ +export const compressArr = (arr: number[]): number[] => { + const resized: number[] = arr.reduce((acc: number[], cur: number, idx: number) => { + if (idx % 8 === 0) acc.push(cur); + else acc[acc.length - 1] += cur; + return acc; + }, []); + const logScale: number[] = resized.map((v: number): number => Math.log(v + 1) / Math.log(9)); + return logScale; +}; diff --git a/src/controller/perceptron/utils/findWidestLayer.ts b/src/controller/perceptron/utils/findWidestLayer.ts new file mode 100644 index 0000000..c788802 --- /dev/null +++ b/src/controller/perceptron/utils/findWidestLayer.ts @@ -0,0 +1,7 @@ +import { networkConfig } from '@/controller/constants/types/networkConfig.ts'; + +export const findWidestLayer = (obj: networkConfig) => + Object.entries(obj).reduce((max, [key, value]) => (value > max.value ? { key, value } : max), { + key: null, + value: -Infinity, + }); diff --git a/src/controller/perceptron/utils/normalizeNetworkInfo.ts b/src/controller/perceptron/utils/normalizeNetworkInfo.ts new file mode 100644 index 0000000..38109f6 --- /dev/null +++ b/src/controller/perceptron/utils/normalizeNetworkInfo.ts @@ -0,0 +1,5 @@ +export const normalizeNetworkConfig = (networkConfig: any) => { + const { inputNodes, ...rest } = networkConfig; + const normalizedNetworkInfo = { inputNodes: inputNodes / 8, ...rest }; + return normalizedNetworkInfo; +}; diff --git a/src/controller/queryPipeline/DrawingEventHandler.ts b/src/controller/queryPipeline/DrawingEventHandler.ts new file mode 100644 index 0000000..f822a67 --- /dev/null +++ b/src/controller/queryPipeline/DrawingEventHandler.ts @@ -0,0 +1,92 @@ +import BoundingBox from '@/view/components/userQuery/canvasUtils/BoundingBox.ts'; +import eventBus from '../EventBus.ts'; +import { DRAWING_EVENTS } from '../constants/events.ts'; + +class DrawingEventHandler { + private inputCanvas: HTMLCanvasElement | null; + private clearButton: HTMLButtonElement | null; + private isDrawing: boolean; + + constructor() { + this.inputCanvas = document.getElementById('user-input-canvas') as HTMLCanvasElement; + this.clearButton = document.getElementById('clear') as HTMLButtonElement; + this.isDrawing = false; + this.registerEvents(); + } + + registerEvents(): void { + const bindings: [string, EventListener][] = [ + ['mousedown', this.handleStartDraw], + ['touchstart', this.handleStartDraw], + ['mousemove', this.handleDraw], + ['touchmove', this.handleDraw], + ['mouseup', this.endDraw], + ['mouseout', this.endDraw], + [ + 'touchend', + (e: TouchEvent): void => { + e.preventDefault(); + this.endDraw(); + }, + ], + ]; + + bindings.forEach(([event, handler]: [string, EventListener]): void => + this.inputCanvas.addEventListener(event, handler), + ); + + this.clearButton.addEventListener('click', () => { + eventBus.emit(DRAWING_EVENTS.CLEAR_DRAW, null); + }); + } + + // eventBus로 입력 event 전송 + startDraw = (x: number, y: number): void => { + this.isDrawing = true; + eventBus.emit(DRAWING_EVENTS.START_DRAW, { x, y }); + }; + + draw = (x: number, y: number): void => { + if (!this.isDrawing) return; + BoundingBox.update(x, y); + eventBus.emit(DRAWING_EVENTS.DRAW, { x, y }); + }; + + endDraw = (): void => { + this.isDrawing = false; + BoundingBox.log(); + eventBus.emit(DRAWING_EVENTS.END_DRAW, null); + }; + + // 캔버스에서의 터치 위치 반환 + getTouchPosition = (e: TouchEvent): { x: number; y: number } => { + e.preventDefault(); + const touch = e.touches[0]; + const rect = this.inputCanvas.getBoundingClientRect(); + return { + x: touch.clientX - rect.left, + y: touch.clientY - rect.top, + }; + }; + + // 마우스 클릭, 터치 이벤트에 대한 입력 이벤트 발생 + handleStartDraw = (e: MouseEvent | TouchEvent): void => { + if (e instanceof MouseEvent) { + this.startDraw(e.offsetX, e.offsetY); + } else if (e instanceof TouchEvent) { + let { x, y } = this.getTouchPosition(e); + this.startDraw(x, y); + } + }; + + handleDraw = (e: MouseEvent | TouchEvent): void => { + if (e instanceof MouseEvent) { + this.draw(e.offsetX, e.offsetY); + } else if (e instanceof TouchEvent) { + let { x, y } = this.getTouchPosition(e); + this.draw(x, y); + } + }; +} + +export default DrawingEventHandler; diff --git a/src/controller/queryPipeline/QueryProcessController.ts b/src/controller/queryPipeline/QueryProcessController.ts new file mode 100644 index 0000000..ae3a67a --- /dev/null +++ b/src/controller/queryPipeline/QueryProcessController.ts @@ -0,0 +1,87 @@ +import eventBus from '../EventBus.js'; +import DataStore from '../DataStore.js'; +import { DATA_EVENTS, DRAWING_EVENTS } from '../constants/events.js'; +import { pixelExtractor } from './pixelExtractor.js'; +import { throttle } from './throttle'; +import { IQueryProcessControllerProps } from './types/QueryProcessController.js'; +import { + ICanvasBase, + IUserInputCanvas, + IPathTrackingCanvas, + IAlignCanvas, + IResizeCanvas, +} from '@/view/components/userQuery/types/canvas'; +import { INeuralNetworkBase } from '@/core/types/NeuralNetworkBase'; +import { IDataStore } from '../types/DataStore'; +import { Matrix2D } from '@/core/ops/types/OpsType.ts'; +import BoundingBox from '@/view/components/userQuery/canvasUtils/BoundingBox.ts'; + +class QueryProcessController { + private readonly userInputCanvas: ICanvasBase & IUserInputCanvas; + private readonly trackingCanvas: ICanvasBase & IPathTrackingCanvas; + private readonly alignCanvas: ICanvasBase & IAlignCanvas; + private readonly resizeCanvas: ICanvasBase & IResizeCanvas; + private readonly $DS: IDataStore; + private readonly $NN: INeuralNetworkBase; + private readonly queryFrequencyMs: number; + //TODO: Canvas clear시 Skeleton 에니메이션 적용하기 + + constructor({ + userInputCanvas, + trackingCanvas, + alignCanvas, + resizeCanvas, + $NN, + }: IQueryProcessControllerProps) { + this.userInputCanvas = userInputCanvas; + this.trackingCanvas = trackingCanvas; + this.alignCanvas = alignCanvas; + this.resizeCanvas = resizeCanvas; + + this.$NN = $NN; + this.$DS = DataStore; + this.registerDrawingEvent(); + this.query(); + this.queryFrequencyMs = 200; + } + + registerDrawingEvent(): void { + eventBus.on(DRAWING_EVENTS.START_DRAW, ({ x, y }) => { + this.userInputCanvas.startPath(x, y); + this.trackingCanvas.startPath(x, y); + }); + eventBus.on(DRAWING_EVENTS.DRAW, ({ x, y }) => { + this.userInputCanvas.drawPath(x, y); + this.trackingCanvas.drawPath(x, y); + this.alignCanvas.updateCanvasScale(); + this.alignCanvas.centralize(this.trackingCanvas.canvas); + this.resizeCanvas.downScale(this.alignCanvas.canvas); + this.$DS.setQueryInfo(pixelExtractor(this.resizeCanvas)); + }); + eventBus.on(DRAWING_EVENTS.END_DRAW, () => { + this.userInputCanvas.endPath(); + this.trackingCanvas.endPath(); + }); + eventBus.on(DRAWING_EVENTS.CLEAR_DRAW, () => { + this.userInputCanvas.clear(); + this.trackingCanvas.clear(); + this.alignCanvas.clear(); + this.resizeCanvas.clear(); + BoundingBox.reset(); + }); + } + + query() { + const throttleQuery = throttle((inputs) => { + const result: Matrix2D = this.$NN.query(inputs); + if (result) { + DataStore.setQueryResult(result); + } + }, this.queryFrequencyMs); + + eventBus.on(DATA_EVENTS.QUERY_CHANGED, (inputs: number[]) => throttleQuery(inputs)); + // TODO: type interface 추가하기, 이벤트버스 구조와 쿼리 구조 다시 생각해보기, TS 마이그레이션 + } +} + +export default QueryProcessController; diff --git a/src/controller/queryPipeline/pixelExtractor.ts b/src/controller/queryPipeline/pixelExtractor.ts new file mode 100644 index 0000000..3e37ef1 --- /dev/null +++ b/src/controller/queryPipeline/pixelExtractor.ts @@ -0,0 +1,42 @@ +import { IResizeCanvas, ICanvasBase } from '@/view/components/userQuery/types/canvas'; + +export const pixelExtractor = (path: IResizeCanvas & ICanvasBase) => { + const pathToMatrix = (width: number, height: number, data: Uint8ClampedArray): object[] => { + return Array.from( + { length: height }, + (_: unknown, y: number): { r: number; g: number; b: number; a: number }[] => { + return Array.from( + { length: width }, + (_: unknown, x: number): { r: number; g: number; b: number; a: number } => { + const i: number = (y * width + x) * 4; + const [r, g, b, a] = data.slice(i, i + 4); + return { r, g, b, a }; + }, + ); + }, + ); + }; + + const grayscaleMatrix = (matrixRGB: object[]): number[] => { + return matrixRGB.flatMap((pixelObject: object[]) => + pixelObject.map((v: { r: number; g: number; b: number; a: number }): number => { + const RGB_sum: number = v.r + v.g + v.b; + return Math.round(RGB_sum / 3); + }), + ); + }; + + const normalize = (grayscaleMatrix: number[]): number[] => { + return grayscaleMatrix.map((v) => (v / 255) * 0.99 + 0.01); + }; + + const { width, height, data } = path.ctx.getImageData( + 0, + 0, + path.canvas.width, + path.canvas.height, + ); + const matrixRGB: object[] = pathToMatrix(width, height, data); + const grayScale = grayscaleMatrix(matrixRGB); + return normalize(grayScale); +}; diff --git a/src/controller/queryPipeline/throttle.ts b/src/controller/queryPipeline/throttle.ts new file mode 100644 index 0000000..bc966df --- /dev/null +++ b/src/controller/queryPipeline/throttle.ts @@ -0,0 +1,13 @@ +export const throttle = any> ( + fn: T, delay: number +): (...args: Parameters) => ReturnType => { + let pause = false; + return (...args: Parameters): ReturnType => { + if(!pause) { + const result = fn(...args); + pause = true; + setTimeout(() => pause = false, delay); + return result; + } + } +} \ No newline at end of file diff --git a/src/controller/queryPipeline/types/DrawingEventHandler.ts b/src/controller/queryPipeline/types/DrawingEventHandler.ts new file mode 100644 index 0000000..d4a36b5 --- /dev/null +++ b/src/controller/queryPipeline/types/DrawingEventHandler.ts @@ -0,0 +1,12 @@ +interface DrawingEventHandlerParams { + startDraw(x: number, y: number): void; + draw(x: number, y: number): void; + endDraw(): void; + getTouchPosition(e: TouchEvent): { x: number; y: number }; + + addEventListener(listener: EventListener): void; +} + +interface DrawingEventHandlerParams { + registerEvents: DrawingEventHandlerParams; +} diff --git a/src/controller/queryPipeline/types/QueryProcessController.ts b/src/controller/queryPipeline/types/QueryProcessController.ts new file mode 100644 index 0000000..585e323 --- /dev/null +++ b/src/controller/queryPipeline/types/QueryProcessController.ts @@ -0,0 +1,16 @@ +import { + ICanvasBase, + IUserInputCanvas, + IPathTrackingCanvas, + IAlignCanvas, + IResizeCanvas, +} from '@/view/components/userQuery/types/canvas'; +import { INeuralNetworkBase } from '@/core/types/NeuralNetworkBase'; + +export interface IQueryProcessControllerProps { + userInputCanvas: ICanvasBase & IUserInputCanvas; + trackingCanvas: ICanvasBase & IPathTrackingCanvas; + alignCanvas: ICanvasBase & IAlignCanvas; + resizeCanvas: ICanvasBase & IResizeCanvas; + $NN: INeuralNetworkBase; +} diff --git a/src/controller/types/DataStore.ts b/src/controller/types/DataStore.ts new file mode 100644 index 0000000..21bc2fb --- /dev/null +++ b/src/controller/types/DataStore.ts @@ -0,0 +1,19 @@ +import { Matrix2D } from '@/core/ops/types/OpsType.ts'; +import { NodeObjectSet } from '@/controller/perceptron/types/nodeObjectSet.ts'; + +export interface IDataStore { + setQueryInfo(queryInfo: number[]): void; + getQueryInfo(): number[]; + + setNodeState(nodeState: NodeObjectSet): void; + getNodeState(): NodeObjectSet; + + setQueryResult(queryResult: Matrix2D): void; + getQueryResult(): Matrix2D; +} + +export interface nodeState { + inputs: number[]; + hiddenOutputs: number[][]; + finalOutputs: number[][]; +} diff --git a/src/controller/types/eventBus.ts b/src/controller/types/eventBus.ts new file mode 100644 index 0000000..3939a2c --- /dev/null +++ b/src/controller/types/eventBus.ts @@ -0,0 +1,35 @@ +import { Matrix2D } from '@/core/ops/types/OpsType'; + +export interface eventPayloads { + // Data handling event + 'query:changed': number[]; + 'node:changed': { inputs: number[]; hiddenOutputs: Matrix2D; finalOutputs: Matrix2D }; + 'result:changed': Matrix2D; + + // Canvas handling event + 'draw:start': { x: number; y: number }; + 'draw:drawing': { x: number; y: number }; + 'draw:end': void; + 'draw:clear': void; + 'bondingbox:update': { X: number; y: number }; + + 'scroll:changed': number; + 'touch:changed': number; + + // 'node:update': { hiddenInputs: Matrix2D; hiddenOutputs: Matrix2D; finalOutputs: Matrix2D }; +} + +export interface IEventBus { + events: object; + on( + eventName: K, + subscriber: (payload: eventPayloads[K]) => void, + ): void; + + off( + eventName: K, + subscriber: (payload: eventPayloads[K]) => void, + ): void; + + emit(eventName: K, payload: eventPayloads[K]): void; +} diff --git a/src/controller/types/weights.ts b/src/controller/types/weights.ts new file mode 100644 index 0000000..a149746 --- /dev/null +++ b/src/controller/types/weights.ts @@ -0,0 +1,4 @@ +export interface weights { + W_inputToHidden: number[][]; + W_hiddenToOutput: number[][]; +} diff --git a/src/core/NeuralNetworkBase.ts b/src/core/NeuralNetworkBase.ts new file mode 100644 index 0000000..b72084c --- /dev/null +++ b/src/core/NeuralNetworkBase.ts @@ -0,0 +1,46 @@ +import activationFunction from './ops/activationOps.js'; +import { matrixMultiply } from './ops/matrixOps.js'; +import eventBus from '@/controller/EventBus.js'; +import { DATA_EVENTS } from '@/controller/constants/events.js'; + +import { weights } from '@/controller/types/weights'; +import { Matrix2D } from './ops/types/OpsType'; +import DataStore from '@/controller/DataStore.ts'; + +class NeuralNetworkBase { + private readonly W_inputToHidden: number[][] | null; + private readonly W_hiddenToOutput: number[][] | null; + + constructor(weights: Partial) { + // weight를 optional하게 처리하기 위해 Partial 사용 + this.W_inputToHidden = weights?.W_inputToHidden ?? null; + this.W_hiddenToOutput = weights?.W_hiddenToOutput ?? null; + } + + // CNN operations + feedForward(inputs: number[]): { + hiddenOutputs: Matrix2D; + finalOutputs: Matrix2D; + } { + const hiddenInputs: number[][] = matrixMultiply( + this.W_inputToHidden, + inputs.map((v) => [v]), + ); //신경망 출력 결과를 Nx1 형태의 행렬곱으로 변환. + const hiddenOutputs: Matrix2D = activationFunction(hiddenInputs); + const finalInputs: Matrix2D = matrixMultiply(this.W_hiddenToOutput, hiddenOutputs); + const finalOutputs: Matrix2D = activationFunction(finalInputs); + return { hiddenOutputs, finalOutputs }; + } + + query(inputs: number[]): Matrix2D { + const { hiddenOutputs, finalOutputs } = this.feedForward(inputs); + DataStore.setNodeState({ + inputs: inputs, + hiddenOutputs: hiddenOutputs, + finalOutputs: finalOutputs, + }); + return finalOutputs; + } +} + +export default NeuralNetworkBase; diff --git a/src/core/WeightManager.ts b/src/core/WeightManager.ts new file mode 100644 index 0000000..29aa62d --- /dev/null +++ b/src/core/WeightManager.ts @@ -0,0 +1,43 @@ +import { createRandomWeight } from './utils/createRandomWeights.js'; +import { loadPretrainedWeights } from './utils/loadPretrainedWeights.js'; +import { networkConfig } from '@/controller/constants/types/networkConfig'; + +import { weights } from '@/controller/types/weights'; + +class WeightManager { + private _cache: null | weights = null; + private config: networkConfig; + private readonly path: string; + + constructor(networkConfig: networkConfig) { + this.config = networkConfig; + this.path = 'assets/preTrainedWeights_h200_lr15p.json'; + } + + async getWeights(): Promise { + if (this._cache) return this._cache; + try { + const json = await loadPretrainedWeights(this.path); + this._cache = { + W_inputToHidden: json.W_inputToHidden, + W_hiddenToOutput: json.W_hiddenToOutput, + }; + } catch (err) { + console.warn(`[WeightManager] Using random weights due to error: ${err.message}`); + this._cache = { + W_inputToHidden: createRandomWeight( + this.config.hiddenNodes, + this.config.inputNodes, + ), + W_hiddenToOutput: createRandomWeight( + this.config.outputNodes, + this.config.hiddenNodes, + ), + }; + } + console.log('Network weights fetched'); + return this._cache; + } +} + +export default WeightManager; diff --git a/src/core/ops/activationOps.ts b/src/core/ops/activationOps.ts new file mode 100644 index 0000000..3d92e4a --- /dev/null +++ b/src/core/ops/activationOps.ts @@ -0,0 +1,19 @@ +import { Matrix2D } from './types/OpsType.ts'; + +const activationFunction = (matrix: Matrix2D): Matrix2D => + matrix.map((array: number[]): number[] => + array.map((v: number): number => { + const value: number = sigmoid(v); + return parseFloat(value.toFixed(5)); //활성화 함수를 적용시킨 값을 소숫점 5자리로 반올림 + }), + ); + +const sigmoid = ($x: number): number => { + return 1 / (1 + Math.exp(-$x)); +}; + +const ReLU = ($x: number): number => { + return Math.max(0, $x); +}; + +export default activationFunction; diff --git a/src/core/ops/matrixOps.ts b/src/core/ops/matrixOps.ts new file mode 100644 index 0000000..f6eda6e --- /dev/null +++ b/src/core/ops/matrixOps.ts @@ -0,0 +1,25 @@ +import { Matrix2D } from './types/OpsType'; + +const ensure2DArray = (matrix: number[] | number[][]): number[][] => { + return Array.isArray(matrix[0]) ? (matrix as number[][]) : [matrix as unknown as number[]]; +}; + +export const matrixMultiply = (A: Matrix2D, B: Matrix2D): Matrix2D => { + A = ensure2DArray(A); + + if (!Array.isArray(A) || !Array.isArray(B)) throw new Error('matrixA, B must be an array'); + else if (A[0].length !== B.length) throw new Error("rows and columns length doesn't match"); + + return A.map((row: number[], i: number): number[] => + B[0].map((_: unknown, j: number): number => + row.reduce((sum: number, _: unknown, k: number): number => { + return sum + A[i][k] * B[k][j]; + }, 0), + ), + ); +}; + +export const transposeMatrix = (matrix: Matrix2D): Matrix2D => + matrix[0].map((_: unknown, idx: number): number[] => + matrix.map((row: number[]): number => row[idx]), + ); diff --git a/src/core/ops/types/OpsType.ts b/src/core/ops/types/OpsType.ts new file mode 100644 index 0000000..5f6ec6d --- /dev/null +++ b/src/core/ops/types/OpsType.ts @@ -0,0 +1 @@ +export type Matrix2D = number[][]; diff --git a/src/core/types/NeuralNetworkBase.ts b/src/core/types/NeuralNetworkBase.ts new file mode 100644 index 0000000..399a911 --- /dev/null +++ b/src/core/types/NeuralNetworkBase.ts @@ -0,0 +1,9 @@ +import { Matrix2D } from '@/core/ops/types/OpsType.ts'; + +export interface INeuralNetworkBase { + feedForward(inputs: number[]): { + hiddenOutputs: Matrix2D; + finalOutputs: Matrix2D; + }; + query(inputs: number[]): Matrix2D; +} diff --git a/src/core/types/WeightManager.ts b/src/core/types/WeightManager.ts new file mode 100644 index 0000000..5fd417f --- /dev/null +++ b/src/core/types/WeightManager.ts @@ -0,0 +1,9 @@ +import { weights } from '@/controller/types/weights.ts'; +import { networkConfig } from '@/controller/constants/types/networkConfig.ts'; + +export interface IWeightManager { + _cache: null | weights; + config: networkConfig; + path: string; + getWeights(): Promise; +} diff --git a/src/core/utils/createRandomWeights.ts b/src/core/utils/createRandomWeights.ts new file mode 100644 index 0000000..b5d3086 --- /dev/null +++ b/src/core/utils/createRandomWeights.ts @@ -0,0 +1,7 @@ +export const createRandomWeight = (col: number, row: number): number[][] => + Array.from({ length: col }, (): number[] => + Array.from({ length: row }, (): number => { + const value: number = (Math.random() - 0.5) * 1.99999; + return value; + }), + ); diff --git a/src/core/utils/loadPretrainedWeights.ts b/src/core/utils/loadPretrainedWeights.ts new file mode 100644 index 0000000..3e89e03 --- /dev/null +++ b/src/core/utils/loadPretrainedWeights.ts @@ -0,0 +1,7 @@ +import { weights } from '@/controller/types/weights'; + +export async function loadPretrainedWeights(path: string): Promise { + const response: Response = await fetch(path); + if (!response.ok) throw new Error(`Failed to load weight data from ${path}`); + return await response.json(); +} diff --git a/src/main.ts b/src/main.ts new file mode 100644 index 0000000..70a5ce8 --- /dev/null +++ b/src/main.ts @@ -0,0 +1,5 @@ +import AppController from './controller/AppController.js'; + +const App = new AppController(); +await App.initialize(); +console.log('App initialized!'); diff --git a/src/view/ViewPresenter.ts b/src/view/ViewPresenter.ts new file mode 100644 index 0000000..2a703ef --- /dev/null +++ b/src/view/ViewPresenter.ts @@ -0,0 +1,38 @@ +import eventBus from '@/controller/EventBus.ts'; +import { DATA_EVENTS, DRAWING_EVENTS } from '@/controller/constants/events.ts'; + +import { Matrix2D } from '@/core/ops/types/OpsType.ts'; + +class ViewPresenter { + private readonly El: HTMLElement | null; + + constructor() { + this.El = document.getElementById('result') as HTMLDivElement; + this.normalizeResult(); + this.renderResult(undefined); + } + + normalizeResult() { + eventBus.on(DATA_EVENTS.RESULT_CHANGED, (data: Matrix2D) => { + const queryResults = data.flatMap((v: number[], index) => v[0] * 100); + const result = queryResults.reduce( + (acc: number, cur: number, index: number, arr: number[]) => { + return arr[acc] < cur ? index : acc; + }, + 0, + ); + // const result: number = Math.max(...queryResults); + this.renderResult(result); + }); + eventBus.on(DRAWING_EVENTS.CLEAR_DRAW, () => { + this.renderResult(undefined); + }); + } + + renderResult(result: number | undefined): void { + const networkAnswer = + (this.El.innerHTML = `
${result == undefined ? '?' : result}
`); + } +} + +export default ViewPresenter; diff --git a/src/view/components/CanvasComponentBase.js b/src/view/components/CanvasComponentBase.js new file mode 100644 index 0000000..2af8a95 --- /dev/null +++ b/src/view/components/CanvasComponentBase.js @@ -0,0 +1,35 @@ +class CanvasComponentBase { + constructor(canvasId) { + this.canvas = document.getElementById(canvasId); + if (!canvasId) { + throw new Error(`Canvas element "${canvasId}" not found.`); + } + this.ctx = this.canvas.getContext('2d'); + this.isMounted = false; + } + + mount() { + if (this.isMounted) return; + this.setup(); + this.isMounted = true; + } + + unMount() { + this.clear(); + this.isMounted = false; + } + + setup() { + // extends from sub class + } + + update(state) { + throw new Error('update must be implemented from subclass.'); + } + + clear() { + this.ctx.clearRect(0, 0, this.canvas.width, this.canvas.height); + } +} + +export default CanvasComponentBase; diff --git a/src/view/components/perceptron/BaseCanvas.ts b/src/view/components/perceptron/BaseCanvas.ts new file mode 100644 index 0000000..bd67631 --- /dev/null +++ b/src/view/components/perceptron/BaseCanvas.ts @@ -0,0 +1,66 @@ +import eventBus from '@/controller/EventBus.ts'; +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; +import { nodePath } from '@/view/components/perceptron/shapeVector/nodePath.ts'; + +class BaseCanvas { + private readonly canvas: HTMLCanvasElement | null; + private readonly ctx: CanvasRenderingContext2D; + private canvasCenter: { x: number; y: number }; + + private setupMatrix: any; + + constructor() { + this.canvas = document.getElementById('perceptron') as HTMLCanvasElement | null; + this.ctx = this.canvas.getContext('2d', { willReadFrequently: true }); + + this.setupCanvas(); // canvas element setup + this.setupRenderTransform(); + // this.setupRenderTransform(this.ctx, RENDERER_CONFIG.degree); // apply state for rendering context(transform/rotate..) + } + + getCanvas = (): HTMLCanvasElement => this.canvas; + getCtx = (): CanvasRenderingContext2D => this.ctx; + + setupCanvas() { + this.canvas.width = 2000; + this.canvas.height = 720; + + this.ctx.fillStyle = 'rgb(255,255,255)'; + this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + this.canvasCenter = { x: this.canvas.width / 2, y: this.canvas.height }; + } + + setupRenderTransform(): void { + this.ctx.setTransform(1, 0, 0, 1, 0, 0); + this.ctx.translate(this.canvasCenter.x, this.canvasCenter.y); + this.rotateCanvas(true, RENDERER_CONFIG.degree * 180); + this.setupMatrix = this.ctx.getTransform(); + console.log('셋업 렌더 셋팅을 실행함.'); + } + + rotateCanvas = (clockWise: boolean, value: number) => { + const rotationVector = clockWise ? 1 : -1; + this.ctx.rotate(rotationVector * value); + }; + moveCanvas = (x: number, y: number) => { + this.ctx.translate(x, y); + }; + + clearCanvas() { + this.saveState(); + this.ctx.translate(-this.canvasCenter.x, -this.canvasCenter.y); + this.ctx.fillStyle = 'rgb(255,255,255)'; + this.ctx.fillRect(0, 0, this.canvasCenter.x * 2, this.canvasCenter.y * 2); + this.restoreState(); + } + + saveState() { + this.ctx.save(); + } + + restoreState() { + this.ctx.restore(); + } +} + +export default BaseCanvas; diff --git a/src/view/components/perceptron/EdgeRenderer.ts b/src/view/components/perceptron/EdgeRenderer.ts new file mode 100644 index 0000000..52e3052 --- /dev/null +++ b/src/view/components/perceptron/EdgeRenderer.ts @@ -0,0 +1,25 @@ +class EdgeRenderer { + private renderCtx: CanvasRenderingContext2D; + + constructor(ctx: CanvasRenderingContext2D) { + this.renderCtx = ctx; + } + + drawEdge = (aX: number, aY: number, bX: number, bY: number): void => { + const dX: number = Math.abs(aX - bX); + const dY: number = Math.abs(aY - bY); + const distance = Math.sqrt(dX * dX + dX * dY); + if (distance > 490) return; + + this.renderCtx.strokeStyle = '#000000'; + this.renderCtx.lineWidth = 0.3; + + this.renderCtx.beginPath(); + this.renderCtx.moveTo(aX, aY); + this.renderCtx.lineTo(bX, bY); + this.renderCtx.stroke(); + this.renderCtx.moveTo(aX, aY); + }; +} + +export default EdgeRenderer; diff --git a/src/view/components/perceptron/GridRenderer.ts b/src/view/components/perceptron/GridRenderer.ts new file mode 100644 index 0000000..cc43971 --- /dev/null +++ b/src/view/components/perceptron/GridRenderer.ts @@ -0,0 +1,28 @@ +class GridRenderer { + private renderCtx: CanvasRenderingContext2D; + + constructor(ctx: CanvasRenderingContext2D) { + this.renderCtx = ctx; + } + + drawGrid(position: number, gridLength: number): void { + this.renderCtx.strokeStyle = '#c3c3c3'; + this.renderCtx.lineWidth = 1; + + this.renderCtx.save(); + + this.renderCtx.beginPath(); + this.renderCtx.moveTo(0, position); + this.renderCtx.lineTo(0, position + gridLength); + this.renderCtx.stroke(); + this.renderCtx.restore(); + } + + drawArc(radius: number): void { + this.renderCtx.beginPath(); + this.renderCtx.arc(0, 0, radius, 0, Math.PI * 2); + this.renderCtx.stroke(); + } +} + +export default GridRenderer; diff --git a/src/view/components/perceptron/NodeRenderer.ts b/src/view/components/perceptron/NodeRenderer.ts new file mode 100644 index 0000000..3c9ea3e --- /dev/null +++ b/src/view/components/perceptron/NodeRenderer.ts @@ -0,0 +1,41 @@ +import { rendererConfig } from '@/controller/constants/types/rendererConfig.ts'; +import { nodePath } from '@/view/components/perceptron/shapeVector/nodePath.ts'; + +class NodeRenderer { + private canvasCenter!: { x: number; y: number }; + private rotationDelta!: number; + private degree!: number; + private displayNodes!: number; + private scrollSpeed!: number; + + private mouseScroll!: number; + private touchMove!: number; + private touchDirection!: number; + private nodes!: number; + + private renderCtx: CanvasRenderingContext2D; + + constructor(ctx: CanvasRenderingContext2D) { + this.renderCtx = ctx; + } + + initializeRenderState(RENDERER_CONFIG: rendererConfig): void { + this.rotationDelta = RENDERER_CONFIG.rotationDelta; // scrollHandler + this.degree = RENDERER_CONFIG.degree; // scrollHandler + this.displayNodes = RENDERER_CONFIG.displayNodes; // nodeHandler + this.scrollSpeed = RENDERER_CONFIG.scrollDivider; // scrollHandler + } + + drawNode = (x: number, y: number, angle: number, p: number): void => { + nodePath(this.renderCtx, { + x: x, + y: y, + width: 13, + height: 13, + angleOffset: angle, + percent: p, + }); + }; +} + +export default NodeRenderer; diff --git a/src/view/components/perceptron/objectClass/Edge.ts b/src/view/components/perceptron/objectClass/Edge.ts new file mode 100644 index 0000000..b2ffa42 --- /dev/null +++ b/src/view/components/perceptron/objectClass/Edge.ts @@ -0,0 +1 @@ +class Edge {} diff --git a/src/view/components/perceptron/objectClass/Node.ts b/src/view/components/perceptron/objectClass/Node.ts new file mode 100644 index 0000000..254101c --- /dev/null +++ b/src/view/components/perceptron/objectClass/Node.ts @@ -0,0 +1,14 @@ +import { value } from '@/view/components/perceptron/types/Node.ts'; + +export class Node { + private value: Number; + constructor(value: number) { + this.value = value; + } + setValue(value: number): void { + this.value = value; + } + getValue(): number { + return this.value; + } +} diff --git a/src/view/components/perceptron/shapeVector/nodePath.ts b/src/view/components/perceptron/shapeVector/nodePath.ts new file mode 100644 index 0000000..871e606 --- /dev/null +++ b/src/view/components/perceptron/shapeVector/nodePath.ts @@ -0,0 +1,54 @@ +import { INodePath } from '@/view/components/perceptron/shape/types/nodePath.ts'; + +export const nodePath = ( + ctx: CanvasRenderingContext2D, + { x, y, width, height, radius = 5, angleOffset, percent }: INodePath, +) => { + const node: Path2D = roundedRect(-width / 2, -height / 2, width, height, radius); + + ctx.save(); + ctx.translate(x, y); + ctx.rotate((angleOffset * Math.PI) / 180); // atan값이 반환하는 라디안 값을 degree로 변환 + + ctx.fillStyle = '#fff'; + ctx.strokeStyle = '#000'; + ctx.lineWidth = 1; + ctx.fill(node); + ctx.stroke(node); + + if (percent > 0) { + const filledHeight = (height * percent) / 100; + + const fillPath = roundedRect(-width / 2, -height / 2, filledHeight, height, radius); + ctx.save(); + ctx.clip(node); + ctx.fillStyle = '#000'; + ctx.fill(fillPath); + ctx.restore(); + } + + ctx.restore(); +}; + +const roundedRect = ( + x: number, + y: number, + width: number, + height: number, + radius: number, +): Path2D => { + const path = new Path2D(); + const r = Math.min(radius, width / 2, height / 2); + + path.moveTo(x + r, y); + path.lineTo(x + width - r, y); + path.quadraticCurveTo(x + width, y, x + width, y + r); + path.lineTo(x + width, y + height - r); + path.quadraticCurveTo(x + width, y + height, x + width - r, y + height); + path.lineTo(x + r, y + height); + path.quadraticCurveTo(x, y + height, x, y + height - r); + path.lineTo(x, y + r); + path.quadraticCurveTo(x, y, x + r, y); + + return path; +}; diff --git a/src/view/components/perceptron/shapeVector/types/nodePath.ts b/src/view/components/perceptron/shapeVector/types/nodePath.ts new file mode 100644 index 0000000..6e8616b --- /dev/null +++ b/src/view/components/perceptron/shapeVector/types/nodePath.ts @@ -0,0 +1,8 @@ +export interface INodePath { + x: number; + y: number; + width: number; + height: number; + radius?: number; + percent: number; +} diff --git a/src/view/components/perceptron/types/Edge.ts b/src/view/components/perceptron/types/Edge.ts new file mode 100644 index 0000000..e69de29 diff --git a/src/view/components/perceptron/types/Node.ts b/src/view/components/perceptron/types/Node.ts new file mode 100644 index 0000000..3fd8de0 --- /dev/null +++ b/src/view/components/perceptron/types/Node.ts @@ -0,0 +1 @@ +export type value = number; diff --git a/src/view/components/userQuery/AlignCanvas.ts b/src/view/components/userQuery/AlignCanvas.ts new file mode 100644 index 0000000..25cbef0 --- /dev/null +++ b/src/view/components/userQuery/AlignCanvas.ts @@ -0,0 +1,53 @@ +import BoundingBox from '@/view/components/userQuery/canvasUtils/BoundingBox.ts'; + +class AlignCanvas { + public readonly canvas: HTMLCanvasElement | null; + public readonly ctx: CanvasRenderingContext2D; + + constructor() { + this.canvas = document.createElement('canvas') as HTMLCanvasElement; + this.ctx = this.canvas.getContext('2d', { willReadFrequently: true }); + this.canvas.style.border = '2px solid red'; + this.setupCanvas(); + } + setupCanvas(): void { + this.ctx.fillStyle = 'rgba(0, 0, 0)'; + this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + this.updateCanvasScale(); + } + updateCanvasScale(): void { + if (BoundingBox.getOriginalObject().width > BoundingBox.getOriginalObject().height) { + this.canvas.width = BoundingBox.getOriginalObject().width * 1.3; + this.canvas.height = BoundingBox.getOriginalObject().width * 1.3; + } else { + this.canvas.width = BoundingBox.getOriginalObject().height * 1.3; + this.canvas.height = BoundingBox.getOriginalObject().height * 1.3; + } + } + + centralize(path: HTMLCanvasElement): void { + this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + const alignStartPosition = { + x: (this.canvas.width - BoundingBox.getOriginalObject().width) / 2, + y: (this.canvas.height - BoundingBox.getOriginalObject().height) / 2, + }; + this.ctx.drawImage( + path, + BoundingBox.getOriginalObject().x, + BoundingBox.getOriginalObject().y, + BoundingBox.getOriginalObject().width, + BoundingBox.getOriginalObject().height, + alignStartPosition.x, + alignStartPosition.y, + BoundingBox.getOriginalObject().width, + BoundingBox.getOriginalObject().height, + ); + } + + clear(): void { + this.canvas.width = this.canvas.height = 1; + this.setupCanvas(); + } +} + +export default AlignCanvas; diff --git a/src/view/components/userQuery/PathTrackingCanvas.ts b/src/view/components/userQuery/PathTrackingCanvas.ts new file mode 100644 index 0000000..5645de8 --- /dev/null +++ b/src/view/components/userQuery/PathTrackingCanvas.ts @@ -0,0 +1,48 @@ +import { CANVAS_CONFIG } from '@/controller/constants/canvasConfig.ts'; + +class PathTrackingCanvas { + public readonly canvas: HTMLCanvasElement | null; + public readonly ctx: CanvasRenderingContext2D; + + constructor() { + this.canvas = document.createElement('canvas') as HTMLCanvasElement; + this.ctx = this.canvas.getContext('2d', { willReadFrequently: true }); + this.setupCanvas(); + } + + setupCanvas(): void { + // this.canvas.width = window.innerWidth; + // this.canvas.height = window.innerHeight * (7 / 20); + this.canvas.width = 1120; + this.canvas.height = 560; + + this.ctx.fillStyle = 'rgba(0, 0, 0)'; + this.ctx.strokeStyle = 'rgba(255, 255, 255)'; + + this.ctx.lineWidth = CANVAS_CONFIG.lineWidth; + this.ctx.lineCap = CANVAS_CONFIG.lineCap; + this.ctx.lineJoin = CANVAS_CONFIG.lineJoin; + + this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + } + + startPath(x: number, y: number): void { + this.ctx.beginPath(); + this.ctx.moveTo(x, y); + } + + drawPath(x: number, y: number): void { + this.ctx.lineTo(x, y); + this.ctx.stroke(); + } + + endPath(): void { + this.ctx.closePath(); + } + + clear(): void { + this.setupCanvas(); + } +} + +export default PathTrackingCanvas; diff --git a/src/view/components/userQuery/ResizeCanvas.ts b/src/view/components/userQuery/ResizeCanvas.ts new file mode 100644 index 0000000..96a4275 --- /dev/null +++ b/src/view/components/userQuery/ResizeCanvas.ts @@ -0,0 +1,37 @@ +class ResizeCanvas { + public readonly canvas: HTMLCanvasElement | null; + public readonly ctx: CanvasRenderingContext2D; + + constructor() { + this.canvas = document.createElement('canvas') as HTMLCanvasElement; + this.ctx = this.canvas.getContext('2d', { willReadFrequently: true }); + this.setupCanvas(); + } + + setupCanvas(): void { + this.canvas.width = this.canvas.height = 28; + this.ctx.fillStyle = 'rgba(255,255,255)'; + this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + } + + downScale(path: HTMLCanvasElement): void { + this.ctx.drawImage( + path, + 0, + 0, + path.width, + path.height, + 0, + 0, + this.canvas.width, + this.canvas.height, + ); + } + + clear(): void { + this.setupCanvas(); + // this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + } +} + +export default ResizeCanvas; diff --git a/src/view/components/userQuery/UserInputCanvas.ts b/src/view/components/userQuery/UserInputCanvas.ts new file mode 100644 index 0000000..b23d25b --- /dev/null +++ b/src/view/components/userQuery/UserInputCanvas.ts @@ -0,0 +1,75 @@ +import { CANVAS_CONFIG } from '@/controller/constants/canvasConfig.ts'; +import { userInputClipPath } from '@/view/components/userQuery/uiUtils/userInputClipPath.ts'; + +class UserInputCanvas { + public readonly canvas: HTMLCanvasElement | null; + public readonly ctx: CanvasRenderingContext2D; + private isDrawing: boolean; + + constructor() { + this.canvas = document.getElementById('user-input-canvas') as HTMLCanvasElement; + this.ctx = this.canvas.getContext('2d'); + + const pathElem = document.getElementById('arc-path'); + pathElem.setAttribute( + 'd', + userInputClipPath({ radius: 560, canvasWidth: 1120, canvasHeight: 560 }), + ); + + this.isDrawing = false; + this.setupCanvas(); + + this.ctx.strokeStyle = 'rgba(255,255,255,0.90)'; + this.ctx.lineWidth = CANVAS_CONFIG.lineWidth; + this.ctx.lineCap = CANVAS_CONFIG.lineCap; + this.ctx.lineJoin = CANVAS_CONFIG.lineJoin; + } + + clear = (): void => { + this.ctx.fillStyle = 'rgba(40,40,40)'; + this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + this.drawGridDots(); + }; + + setupCanvas(): void { + // this.canvas.width = window.innerWidth; + this.canvas.width = 1120; + this.canvas.height = 560; + + this.ctx.fillStyle = 'rgba(40,40,40)'; + this.ctx.fillRect(0, 0, this.canvas.width, this.canvas.height); + + this.drawGridDots(); + } + + drawGridDots() { + const drawCircle = (x, y) => { + this.ctx.beginPath(); + this.ctx.fillStyle = 'rgba(255,255,255,0.3)'; + this.ctx.arc(x, y, 1, 0, 2 * Math.PI); + this.ctx.fill(); + }; + + for (let x = 5; x < this.canvas.width; x += 12) { + for (let y = 5; y < this.canvas.height; y += 12) { + drawCircle(x, y); + } + } + } + + startPath(x: number, y: number): void { + this.ctx.beginPath(); + this.ctx.moveTo(x, y); + } + + drawPath(x: number, y: number): void { + this.ctx.lineTo(x, y); + this.ctx.stroke(); + } + + endPath(): void { + this.ctx.closePath(); + } +} + +export default UserInputCanvas; diff --git a/src/view/components/userQuery/canvasUtils/BoundingBox.ts b/src/view/components/userQuery/canvasUtils/BoundingBox.ts new file mode 100644 index 0000000..f99faa1 --- /dev/null +++ b/src/view/components/userQuery/canvasUtils/BoundingBox.ts @@ -0,0 +1,53 @@ +import { IinitialCoords, originalObject } from '../types/types.ts'; + +class BoundingBox { + private readonly initialCoords: IinitialCoords; + private coordinate: IinitialCoords; + private originalObject: originalObject; + + constructor() { + this.initialCoords = { + minX: Infinity, + minY: Infinity, + maxX: -Infinity, + maxY: -Infinity, + }; + this.coordinate = { ...this.initialCoords }; + this.originalObject = { + x: 0, + y: 0, + width: 0, + height: 0, + }; + } + + getOriginalObject(): Readonly { + return { ...this.originalObject }; + } + + update(currentX: number, currentY: number): void { + this.coordinate = { + minX: Math.round(Math.min(this.coordinate.minX, currentX)), + minY: Math.round(Math.min(this.coordinate.minY, currentY)), + maxX: Math.round(Math.max(this.coordinate.maxX, currentX)), + maxY: Math.round(Math.max(this.coordinate.maxY, currentY)), + }; + Object.assign(this.originalObject, { + x: this.coordinate.minX - 20, + y: this.coordinate.minY - 20, + width: this.coordinate.maxX + 40 - this.coordinate.minX, + height: this.coordinate.maxY + 40 - this.coordinate.minY, + }); + } + + log(): void { + console.log(this.coordinate); + console.log(this.originalObject); + } + + reset(): void { + this.coordinate = { ...this.initialCoords }; + } +} + +export default new BoundingBox(); diff --git a/src/view/components/userQuery/types/canvas.ts b/src/view/components/userQuery/types/canvas.ts new file mode 100644 index 0000000..7d0936a --- /dev/null +++ b/src/view/components/userQuery/types/canvas.ts @@ -0,0 +1,23 @@ +export interface ICanvasBase { + setupCanvas(): void; + clear(): void; + canvas: HTMLCanvasElement; + ctx: CanvasRenderingContext2D; +} + +export interface IUserInputCanvas extends IPathTrackingCanvas { + drawGridDots(): void; +} +export interface IPathTrackingCanvas { + startPath(x: number, y: number): void; + drawPath(x: number, y: number): void; + endPath(): void; +} +export interface IAlignCanvas { + updateCanvasScale(): void; + centralize(path: HTMLCanvasElement): void; +} + +export interface IResizeCanvas { + downScale(path: HTMLCanvasElement): void; +} diff --git a/src/view/components/userQuery/types/types.ts b/src/view/components/userQuery/types/types.ts new file mode 100644 index 0000000..b9e8646 --- /dev/null +++ b/src/view/components/userQuery/types/types.ts @@ -0,0 +1,19 @@ +export interface IinitialCoords { + minX: number; + minY: number; + maxX: number; + maxY: number; +} + +export interface originalObject { + x: number; + y: number; + width: number; + height: number; +} + +interface BoundingBox { + update(currentX: number, currentY: number): void; + log(): void; + reset(): void; +} diff --git a/src/view/components/userQuery/uiUtils/userInputClipPath.ts b/src/view/components/userQuery/uiUtils/userInputClipPath.ts new file mode 100644 index 0000000..eaf3d1f --- /dev/null +++ b/src/view/components/userQuery/uiUtils/userInputClipPath.ts @@ -0,0 +1,27 @@ +export const userInputClipPath = ({ radius = 560, canvasWidth, canvasHeight }) => { + const w = canvasWidth; + const h = canvasHeight; + + // 반지름과 호각 설정 + const cx = w / 2; + const cy = radius; + const startAngle = Math.PI; // 180도 + const endAngle = 2 * Math.PI; // 360도 + + // 반원 양 끝 좌표 + const x1 = cx + radius * Math.cos(startAngle); + const y1 = cy + radius * Math.sin(startAngle); + const x2 = cx + radius * Math.cos(endAngle); + const y2 = cy + radius * Math.sin(endAngle); + + // SVG arc path (절대좌표 기준) + const path = ` + M ${x1} ${y1} + A ${radius} ${radius} 0 0 1 ${x2} ${y2} + L ${w} ${h} + L 0 ${h} + Z + `; + + return path; +}; diff --git a/src/view/styles/ViewportAdapter.ts b/src/view/styles/ViewportAdapter.ts new file mode 100644 index 0000000..e127623 --- /dev/null +++ b/src/view/styles/ViewportAdapter.ts @@ -0,0 +1,68 @@ +import { RENDERER_CONFIG } from '@/controller/constants/rendererConfig.ts'; +const { displayNodes, displayEdges } = RENDERER_CONFIG; + +import DataStore from '@/controller/DataStore.ts'; + +class ViewportAdapter { + private readonly root: HTMLElement; + + constructor() { + this.root = document.documentElement; + this.setupRendererConfig(); + } + + getViewportSize() { + return { + width: window.innerWidth, + height: window.innerHeight, + ratio: window.innerWidth / window.innerHeight, + }; + } + + setupRendererConfig() { + const { width, height } = this.getViewportSize(); + this.root.style.setProperty('--viewport-width', `${width}px`); + this.root.style.setProperty('--indicator-margin', `-15px`); + + const t = width / 4 / 560; + const y = (1 - Math.cos(t * Math.PI)) / 2; + const margin = y * 560; + + this.root.style.setProperty('--clear-button-y-margin', `${margin}px`); + + if (width > 450) { + const appendedDisplayNodes = width / 50 - 9; //50px을 단위로 하나씩 노드 추가 + DataStore.setPerceptronConfig({ + displayNodes: + displayNodes + appendedDisplayNodes > 70 + ? 70 + : displayNodes + appendedDisplayNodes, // 성능 및 최적화, UI 고려, 렌더링 노드의 수를 70개로 제한. + displayEdges: displayEdges, + }); + + const indicatorHeight = 550 - (width - 450) * 0.33 + Math.pow(width / 900, 3); + this.root.style.setProperty( + '--indicator-height', + `${indicatorHeight < 280 ? 280 : indicatorHeight}px`, + ); // 화면 너비에 따라 인디케이터를 내림.(arc 모양에 따라) + console.log(indicatorHeight < 250 ? 250 : indicatorHeight); + if (width > 1060) { + this.root.style.setProperty( + '--indicator-margin', + `${-15 + Math.round(width - 1060) / 2}px`, + ); + console.log('TEST:', Math.round(-15 + (width - 1020) / 2)); + } + } else { + DataStore.setPerceptronConfig({ + displayNodes: displayNodes, + displayEdges: displayEdges, + }); + this.root.style.setProperty('--indicator-height', `550px`); + } + this.root.style.setProperty('--left-indicator-angle', `${-width / 40}deg`); + this.root.style.setProperty('--right-indicator-angle', `${width / 40}deg`); + } +} + +export default ViewportAdapter; diff --git a/src/view/styles/main.css b/src/view/styles/main.css new file mode 100644 index 0000000..4bdf37c --- /dev/null +++ b/src/view/styles/main.css @@ -0,0 +1,248 @@ +#canvas { + border: 1px solid black; +} +#app { + position: relative; + width: 100vw; + height: 100vh; + overflow: hidden; +} +header { + display: block; + position: sticky; + top: 0; + left: 0; + + z-index: 10; + + width: 100%; + height: 60px; + + padding: 20px 20px 20px 20px; + #main-title { + display: block; + font-size: 1.3rem; + font-weight: 800; + } + #sub-title { + display: block; + font-size: 0.65rem; + font-weight: 300; + } +} + +main { + display: block; + width: 100%; + height: 100%; + position: relative; +} + +#query-result { + position: relative; + width: 100%; + height: 35%; + /*background: #757575;*/ + + display: flex; + justify-content: center; + /*justify-items: flex-end;*/ + align-items: center; + z-index: 5; + div { + display: block; + + width: fit-content; + height: fit-content; + + font-size: 11rem; + font-weight: 700; + font-family: "Noto Sans Syriac Western", sans-serif; + color: #171717; + } +} + +#canvas-unit { + position: relative; + display: block; + width: 100%; + height: 720px; + /*height: 720px;*/ + z-index: 2; + + #position-aligner { + position: absolute; + width: 100%; + height: 100%; + + top: 50%; + left: 50%; + transform: translate(-50%, -50%); + } +} +.indicator { + width: 50px; + height: 110px; + position: fixed; + + bottom: var(--indicator-height); + /*bottom: 550px;*/ + display: block; + z-index: 15; + + backdrop-filter: blur(3px); + -webkit-backdrop-filter: blur(5px); + +} +#left-indicator{ + /*left: -15px;*/ + left: var(--indicator-margin); + transform: rotate(var(--left-indicator-angle)); + + -webkit-mask-image: linear-gradient(to right, white 70%, transparent 100%); + mask-image: linear-gradient(to right, white 70%, transparent 100%); +} +#right-indicator { + right: var(--indicator-margin); + /*right: -15px;*/ + transform: rotate(var(--right-indicator-angle)); + + -webkit-mask-image: linear-gradient(to left, white 70%, transparent 100%); + mask-image: linear-gradient(to left, white 70%, transparent 100%); +} +.indicator-blur { + backdrop-filter: blur(4px); + -webkit-backdrop-filter: blur(4x); + background: rgba(255, 255, 255, 0.3); + + position: relative; + width: 100%; + height: 100%; +} + +#left-arrow { + height: 15px; + + position: absolute; + top: 40%; + right: 40%; + transform: translate(50%, -50%); + animation: left-float 1s ease-in-out infinite; +} +#right-arrow { + height: 15px; + + position: absolute; + top: 40%; + left: 40%; + transform: translate(-50%, -50%); + animation: right-float 1s ease-in-out infinite; +} + + +#perceptron-section { + position: absolute; + left: 50%; + bottom: 0; + + transform: translateX(-50%); + width: auto; + z-index: 1; +} + +#user-input-section { + /*display: none;*/ + position: absolute; + display: block; + left: 50%; + bottom: 0; + width: 1120px; + transform: translateX(-50%); + height: 560px; + z-index: 2; +} + +#user-input-canvas { + display: block; + width: 100%; + height: 100%; + + z-index: 2; + /* safari client 대응 */ + transform: translateZ(0); + will-change: transform; + overflow: hidden; + + clip-path: url(#arc-clip); + -webkit-clip-path: url(#arc-clip); +} + + +svg{ + display: block; +} + +#clear { + position: absolute; + z-index: 20; + + top: 480px; + right: 10px; + + width: 30px; + height: 30px; + + background: none; + border: none; + img { + display: block; + width: 25px; + + position: absolute; + left: 50%; + top: 50%; + transform: translate(-50%, -50%); + + } +} + +@media (width > 900px ) { + #clear { + bottom: 280px; + } +} +@media (width <= 900px ) { + #clear { + top: calc(160px + var(--clear-button-y-margin)); + } +} +@media (width >= 960px ) { + #clear { + right: calc((var(--viewport-width) - 960px + 10px) / 2); + } +} + + +@keyframes left-float { + 0% { + transform: translateX(1px); + } + 50% { + transform: translateX(-2px); + } + 100% { + transform: translateX(1px); + } +} +@keyframes right-float { + 0% { + transform: translateX(-1px); + } + 50% { + transform: translateX(1px); + } + 100% { + transform: translateX(-1px); + } +} + diff --git a/src/view/styles/settings.css b/src/view/styles/settings.css new file mode 100644 index 0000000..210a1ab --- /dev/null +++ b/src/view/styles/settings.css @@ -0,0 +1,19 @@ +@import url("https://cdn.jsdelivr.net/gh/orioncactus/pretendard@v1.3.9/dist/web/variable/pretendardvariable.min.css"); +@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+KR:wght@100..900&family=Roboto:ital,wght@0,100..900;1,100..900&display=swap'); + +* { + margin: 0; + padding: 0; + box-sizing: border-box; + + font-family: "Pretendard Variable", Pretendard,"Roboto", sans-serif, -apple-system, BlinkMacSystemFont, system-ui, Roboto, "Helvetica Neue", "Segoe UI", "Apple SD Gothic Neo", "Noto Sans KR", "Malgun Gothic", "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", sans-serif; + color: #2B2B2B; +} + +html { + font-size: 100%; /* 16px = 1rem */ +} + +canvas { + display: block; +} \ No newline at end of file diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..26f4f5c --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,21 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "ES2022", + "moduleResolution": "Node", + "allowImportingTsExtensions": true, + "noEmit": true, + "outDir": "./dist", + "rootDir": "./src", + "strict": false, + "allowJs": true, + "checkJs": false, + "esModuleInterop": true, + "baseUrl": "./src", + "paths": { + "@/*": ["*"] + }, + "types": ["node"] + }, + "include": ["src/**/*"] +} diff --git a/vite.config.ts b/vite.config.ts new file mode 100644 index 0000000..02b184e --- /dev/null +++ b/vite.config.ts @@ -0,0 +1,30 @@ +import { defineConfig } from 'vite'; +import { fileURLToPath } from 'url'; +import path from 'path'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +const repo = 'NeuralNetwork-Visualization'; +const branch = process.env.GITHUB_REF_NAME || ''; +let base = `/${repo}/`; + +if (branch.startsWith('feat/')) { + base = './'; +} + +export default defineConfig({ + base: base, + resolve: { + alias: [{ find: '@', replacement: path.resolve(__dirname, 'src') }], + }, + publicDir: 'public', + build: { + outDir: 'dist', + target: 'esnext', + }, + server: { + port: 5173, + open: true, + }, +});