diff --git a/.eslintrc.cjs b/.eslintrc.cjs index 62d5f29ef..ba0eaf68c 100644 --- a/.eslintrc.cjs +++ b/.eslintrc.cjs @@ -4,11 +4,13 @@ * SPDX-License-Identifier: MIT */ module.exports = { + root: true, parser: '@typescript-eslint/parser', extends: [ 'eslint:recommended', 'plugin:@typescript-eslint/recommended', 'plugin:@typescript-eslint/recommended-requiring-type-checking', + 'plugin:svelte/recommended', ], parserOptions: { ecmaVersion: 2020, @@ -18,28 +20,24 @@ module.exports = { extraFileExtensions: ['.svelte'], }, env: { - es6: true, browser: true, + es6: true, + node: true, }, overrides: [ { files: ['*.svelte'], - processor: 'svelte3/svelte3', + parser: 'svelte-eslint-parser', parserOptions: { parser: '@typescript-eslint/parser', }, }, ], - settings: { - 'svelte3/typescript': require('typescript'), - // ignore style tags in Svelte because of Tailwind CSS - // See https://github.com/sveltejs/eslint-plugin-svelte3/issues/70 - 'svelte3/ignore-styles': () => true, - }, - globals: { - NodeJS: true, - process: true, - }, - plugins: ['svelte3', '@typescript-eslint'], - ignorePatterns: ['node_modules', 'svelte.config.js', '.eslintrc.cjs'], + plugins: ['@typescript-eslint'], + ignorePatterns: [ + 'node_modules', + 'svelte.config.js', + '.eslintrc.cjs', + 'babel.config.cjs', + ], }; diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index b539eef70..fccebd173 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -27,14 +27,29 @@ permissions: contents: read jobs: - Jest: + test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Run Tests run: | - npm install + npm ci npm test + formatting_and_linting: + name: Prettier / svelte Check + runs-on: ubuntu-latest + steps: + - name: Checkout Repository + uses: actions/checkout@v3 + - name: Run prettier + shell: bash + run: | + npm ci + npm run checkFormat + - name: Svelte check + shell: bash + run: npm run check + build_and_deploy: if: github.event_name == 'push' || (github.event_name == 'pull_request' && github.event.action != 'closed') runs-on: ubuntu-latest @@ -43,9 +58,6 @@ jobs: - uses: actions/checkout@v3 with: submodules: true - - name: Branding - run: | - cp -f ./src/__viteBuildVariants__/ml-machine/windi.config.js ./windi.config.js - name: Build And Deploy uses: Azure/static-web-apps-deploy@1a947af9992250f3bc2e68ad0754c0b0c11566c9 with: @@ -54,8 +66,6 @@ jobs: action: "upload" app_location: ${{ env.APP_LOCATION }} app_artifact_location: ${{ env.APP_ARTIFACT_LOCATION }} - env: - VITE_TITLE: ML-Machine close: if: github.event_name == 'pull_request' && github.event.action == 'closed' @@ -66,4 +76,4 @@ jobs: uses: Azure/static-web-apps-deploy@1a947af9992250f3bc2e68ad0754c0b0c11566c9 with: azure_static_web_apps_api_token: ${{ secrets.AZURE_STATIC_WEB_APPS_API_TOKEN }} - action: "close" \ No newline at end of file + action: "close" diff --git a/.github/workflows/production.yml b/.github/workflows/production.yml index 24a9cc89a..9eb66a708 100644 --- a/.github/workflows/production.yml +++ b/.github/workflows/production.yml @@ -27,13 +27,13 @@ permissions: contents: read jobs: - Jest: + test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Run Tests run: | - npm install + npm ci npm test build_and_deploy: if: github.event_name == 'push' || (github.event_name == 'pull_request' && github.event.action != 'closed') @@ -43,9 +43,6 @@ jobs: - uses: actions/checkout@v3 with: submodules: true - - name: Branding - run: | - cp -f ./src/__viteBuildVariants__/ml-machine/windi.config.js ./windi.config.js - name: Build And Deploy uses: Azure/static-web-apps-deploy@1a947af9992250f3bc2e68ad0754c0b0c11566c9 with: @@ -54,8 +51,6 @@ jobs: action: "upload" app_location: ${{ env.APP_LOCATION }} app_artifact_location: ${{ env.APP_ARTIFACT_LOCATION }} - env: - VITE_TITLE: ML-Machine close: if: github.event_name == 'pull_request' && github.event.action == 'closed' diff --git a/.prettierignore b/.prettierignore index 4958c8934..71b433bc3 100644 --- a/.prettierignore +++ b/.prettierignore @@ -1 +1,3 @@ -src/translations.ts \ No newline at end of file +src/translations.ts +src/appInsights.ts +src/messages/* \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json index 2a8fd071b..0999a1039 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -21,6 +21,17 @@ "a11y-distracting-elements": "ignore", "a11y-structure": "ignore", "a11y-click-events-have-key-events": "ignore", - "a11y-missing-content": "ignore" - } -} + "a11y-missing-content": "ignore", + "a11y-no-noninteractive-element-interactions": "ignore", + "a11y-no-static-element-interactions": "ignore" + }, + "files.exclude": { + "**/.git": true, + "**/.svn": true, + "**/.hg": true, + "**/CVS": true, + "**/.DS_Store": true, + "**/Thumbs.db": true + }, + "hide-files.files": [] +} \ No newline at end of file diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 2d6dbbacc..8b06b8b08 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -7,7 +7,7 @@ Please note we have a code of conduct, please follow it in all your interactions ## Pull Request Process -1. Ensure any install or build dependencies are removed and the tests using `jest` are running successfully. +1. Ensure any install or build dependencies are removed and the tests using `npm run test` are running successfully. 2. Update the README.md with details of changes to the interface, this includes new environment variables and useful file locations, if applicable. 3. Increase the version numbers in any examples files and the README.md to the new version that this diff --git a/README.md b/README.md index cce937b96..c03eaa7e1 100644 --- a/README.md +++ b/README.md @@ -44,7 +44,7 @@ We recommend starting here. ### ```npm test``` -Runs the test suite. Tests are driven by the framework [Jest](https://jestjs.io/). Runs all tests inside the folder `./src/__tests__/`. +Runs the test suite. Tests are driven by the framework [Vitest](https://vitest.dev/). Runs all tests inside the folder `./src/__tests__/`. If you do not plan to contribute to the project, you may safely ignore this. diff --git a/babel.config.cjs b/babel.config.cjs new file mode 100644 index 000000000..49d6c2a62 --- /dev/null +++ b/babel.config.cjs @@ -0,0 +1,5 @@ +module.exports = { + presets: [ + ['@babel/preset-env', {targets: {node: 'current'}}], + ], + }; \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 000000000..c6414b2c5 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,5 @@ +services: + ml: + build: . + ports: + - "5174:8080" diff --git a/dockerfile b/dockerfile new file mode 100644 index 000000000..1ef2ca06b --- /dev/null +++ b/dockerfile @@ -0,0 +1,25 @@ +# A Dockerfile must begin with a FROM instruction. +# New base image will be built based on the Node.js version 20 +# Image that is based on Debian Linux. +FROM node:20 + +# Create app directory +WORKDIR /usr/src/app + +# A wildcard is used to ensure both package.json AND package-lock.json are copied +COPY package*.json ./ + +# Install app dependencies +RUN npm install +RUN npm install express + +# Bundle app source +COPY . . + +# Creates a "dist" folder with the production build +RUN npm run build + +EXPOSE 8080 + +# Start the server using the production build +CMD [ "node", "dist/main.cjs" ] \ No newline at end of file diff --git a/features.json b/features.json new file mode 100644 index 000000000..ec4ddb583 --- /dev/null +++ b/features.json @@ -0,0 +1,6 @@ +{ + "title": "Learning tool", + "knnModel": true, + "lossGraph": true, + "makecode": true +} \ No newline at end of file diff --git a/microbit/v1/source/main.cpp b/microbit/v1/source/main.cpp index afee7f76f..c0838c478 100755 --- a/microbit/v1/source/main.cpp +++ b/microbit/v1/source/main.cpp @@ -46,10 +46,6 @@ void sendString(ManagedString s) void onConnected(MicroBitEvent) { connected = 1; // Set the connected flag - uBit.sleep(3000); - uart->send(ManagedString("id_prop")); // MUST be sent before vi_ message - uart->send(ManagedString("vi_") + ManagedString(buildNumber)); - const uint8_t smiley[] { 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, @@ -59,6 +55,16 @@ void onConnected(MicroBitEvent) MicroBitImage happy(5,5,smiley); uBit.display.print(happy); + + for (size_t i = 0; i < 12; i++) + { + if (!connected) { + break; + } + uBit.sleep(1000); + uart->send(ManagedString("id_prop")); // MUST be sent before vi_ message + uart->send(ManagedString("vi_") + ManagedString(buildNumber)); + } } /** diff --git a/microbit/v2/source/main.cpp b/microbit/v2/source/main.cpp index 48cf7da37..a4010cd53 100644 --- a/microbit/v2/source/main.cpp +++ b/microbit/v2/source/main.cpp @@ -49,11 +49,17 @@ void onConnected(MicroBitEvent) { connected = 1; // Set the connected flag - uBit.sleep(3000); - uart->send(ManagedString("id_prop")); // MUST be sent before vi_ message - uart->send(ManagedString("vi_") + ManagedString(buildNumber)); - printSmiley(GLAD_SMILEY); + + for (size_t i = 0; i < 12; i++) + { + if (!connected) { + break; + } + uBit.sleep(1000); + uart->send(ManagedString("id_prop")); // MUST be sent before vi_ message + uart->send(ManagedString("vi_") + ManagedString(buildNumber)); + } } /** diff --git a/package-lock.json b/package-lock.json index e517b0c9e..c5fba26fe 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,7 +1,7 @@ { "name": "ml-machine", "version": "1.0.0", - "lockfileVersion": 2, + "lockfileVersion": 3, "requires": true, "packages": { "": { @@ -9,30 +9,31 @@ "version": "1.0.0", "license": "MIT", "dependencies": { - "@microsoft/applicationinsights-web": "^3.0.0", - "@tensorflow/tfjs": "^4.4.0", + "@microsoft/applicationinsights-web": "^3.1.2", + "@tensorflow-models/knn-classifier": "^1.2.6", + "@tensorflow/tfjs": "^4.18.0", + "arrows-svg": "^1.8.0", "bowser": "^2.11.0", "browser-lang": "^0.2.1", - "chart.js": "^4.2.1", - "d3": "^7.8.5", + "chart.js": "^4.4.2", + "d3": "^7.9.0", + "d3-3d": "^1.0.0", "dapjs": "^2.3.0", - "js-cookie": "^3.0.4", - "postcss": "^8.4.23", + "js-cookie": "^3.0.5", + "postcss": "^8.4.38", "smoothie": "^1.36.1", + "svelte-i18n": "^4.0.0", "svelte-skeleton": "^1.3.1", "three": "^0.152.2", "uuid4": "^2.0.3" }, "devDependencies": { - "@babel/preset-env": "^7.21.4", - "@smui/dialog": "^7.0.0-beta.3", - "@sveltejs/vite-plugin-svelte": "^2.1.0", - "@testing-library/jest-dom": "^5.16.5", - "@testing-library/svelte": "^3.2.2", - "@tsconfig/svelte": "^4.0.1", + "@babel/preset-env": "^7.24.4", + "@sveltejs/vite-plugin-svelte": "^3.1.0", + "@testing-library/svelte": "^4.1.0", + "@tsconfig/svelte": "^5.0.4", "@types/browser-lang": "^0.1.1", "@types/d3": "^7.4.1", - "@types/jest": "^29.5.1", "@types/js-cookie": "^3.0.3", "@types/node": "^18.16.0", "@types/three": "^0.152.0", @@ -40,98 +41,88 @@ "@types/web-bluetooth": "^0.0.17", "@typescript-eslint/eslint-plugin": "^5.59.0", "@typescript-eslint/parser": "^5.59.0", - "babel-jest": "^29.5.0", "eslint": "^8.43.0", "eslint-plugin-svelte": "^2.32.1", - "eslint-plugin-svelte3": "^4.0.0", - "jest": 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build", - "dev": "vite", + "build": "node prepEnv.js simple && vite build", + "dev": "node prepEnv.js unbranded && vite", + "devML": "node prepEnv.js branded && vite", + "devSimple": "node prepEnv.js simple && vite", "start": "vite dist --host", - "check": "svelte-check --tsconfig ./tsconfig.json", - "test": "jest", - "prettier": "prettier --write src/." - }, - "jest": { - "testMatch": [ - "/**/__tests__/*.test.ts" - ], - "transform": { - "^.+\\.svelte$": [ - "svelte-jester", - { - "preprocess": true - } - ], - "^.+\\.ts$": "ts-jest", - "^.+\\.js$": "babel-jest" - }, - "moduleFileExtensions": [ - "js", - "ts", - "svelte" - ], - "setupFilesAfterEnv": [ - "/src/setup_tests.ts", - "jest-expect-message" - ] + "check": "svelte-check --fail-on-warnings --tsconfig ./tsconfig.json --compiler-warnings 'a11y-aria-attributes:ignore,a11y-click-events-have-key-events:ignore,a11y-media-has-caption:ignore,a11y-structure:ignore,a11y-role-supports-aria-props:ignore,a11y-role-has-required-aria-props:ignore,a11y-media-has-caption:ignore,a11y-no-static-element-interactions:ignore,a11y-no-noninteractive-element-interactions:ignore,a11y-missing-content:ignore'", + "test": "vitest", + "prettier": "prettier --write src/.", + "checkFormat": "prettier --check src/." }, "devDependencies": { - "@babel/preset-env": "^7.21.4", - "@smui/dialog": "^7.0.0-beta.3", - "@sveltejs/vite-plugin-svelte": "^2.1.0", - "@testing-library/jest-dom": "^5.16.5", - "@testing-library/svelte": "^3.2.2", - "@tsconfig/svelte": "^4.0.1", - "@types/d3": "^7.4.1", + "@babel/preset-env": "^7.24.4", + "@sveltejs/vite-plugin-svelte": "^3.1.0", + "@testing-library/svelte": "^4.1.0", + "@tsconfig/svelte": "^5.0.4", "@types/browser-lang": "^0.1.1", - "@types/jest": "^29.5.1", + "@types/d3": "^7.4.1", "@types/js-cookie": "^3.0.3", "@types/node": "^18.16.0", "@types/three": "^0.152.0", + "@types/w3c-web-usb": "^1.0.6", "@types/web-bluetooth": "^0.0.17", "@typescript-eslint/eslint-plugin": "^5.59.0", "@typescript-eslint/parser": "^5.59.0", - "babel-jest": "^29.5.0", "eslint": "^8.43.0", "eslint-plugin-svelte": "^2.32.1", - "eslint-plugin-svelte3": "^4.0.0", - "jest": "^29.5.0", - "jest-environment-jsdom": "^29.5.0", - "jest-expect-message": "^1.1.3", - "prettier": "^2.8.8", - "prettier-plugin-svelte": "^2.10.0", - "svelte": "^3.58.0", - "svelte-check": "^3.2.0", - "svelte-jester": "^2.3.2", - "svelte-preprocess": "^5.0.3", + "jsdom": "^23.0.1", + "prettier": "^3.1.0", + "prettier-plugin-svelte": "^3.1.2", + "svelte": "^4.2.14", + "svelte-check": "^3.6.9", + "svelte-preprocess": "^5.1.3", "svelte-windicss-preprocess": "^4.2.2", - "@types/w3c-web-usb": "^1.0.6", - "ts-jest": "^29.1.0", - "tslib": "^2.5.0", - "typescript": "^5.0.4", - "vite": "^4.3.1", + "tslib": "^2.6.2", + "typescript": "^5.4.5", + "vite": "^5.2.8", "vite-plugin-environment": "^1.1.3", - "vite-plugin-windicss": "^1.8.10" + "vite-plugin-windicss": "^1.9.3", + "vitest": "^1.5.0" }, "dependencies": { - "@microsoft/applicationinsights-web": "^3.0.0", - "@tensorflow/tfjs": "^4.4.0", + "@microsoft/applicationinsights-web": "^3.1.2", + "@tensorflow-models/knn-classifier": "^1.2.6", + "@tensorflow/tfjs": "^4.18.0", + "arrows-svg": "^1.8.0", "bowser": "^2.11.0", "browser-lang": "^0.2.1", - "chart.js": "^4.2.1", - "d3": "^7.8.5", + "chart.js": "^4.4.2", + "d3": "^7.9.0", + "d3-3d": "^1.0.0", "dapjs": "^2.3.0", - "js-cookie": "^3.0.4", - "postcss": "^8.4.23", + "js-cookie": "^3.0.5", + "postcss": "^8.4.38", "smoothie": "^1.36.1", + "svelte-i18n": "^4.0.0", "svelte-skeleton": "^1.3.1", "three": "^0.152.2", "uuid4": "^2.0.3" } -} +} \ No newline at end of file diff --git a/prepEnv.js b/prepEnv.js new file mode 100644 index 000000000..15b1f0fa4 --- /dev/null +++ b/prepEnv.js @@ -0,0 +1,55 @@ +/* eslint-disable @typescript-eslint/no-unsafe-argument */ +/* eslint-disable @typescript-eslint/no-unsafe-call */ +/* eslint-disable @typescript-eslint/no-unsafe-member-access */ +/* eslint-disable @typescript-eslint/no-unsafe-assignment */ +// This script is used to setup different build configurations +// run by ` node prepEnv.js branded ` for ml-machine-branded config +import { copyFile } from 'fs'; + +// Validate input +const args = process.argv; +if (args.length < 3) { + throw new Error("Not enough arguments. Try 'node prepEnv.js branded' ") +} +if (args.length > 3) { + throw new Error("Too many arguments. Try 'node prepEnv.js branded' ") +} + +// Configure build script and validate input +const fileMoveTargets = { + "branded": [ + // Set source(first) and destination(second) + ['./src/__viteBuildVariants__/ml-machine/windi.config.js', './windi.config.js'], + ['./src/__viteBuildVariants__/ml-machine/features.json', './features.json'] + ], + "unbranded": [ + ['./src/__viteBuildVariants__/unbranded/windi.config.js', './windi.config.js'], + ['./src/__viteBuildVariants__/unbranded/features.json', './features.json'] + ], + "simple": [ + ['./src/__viteBuildVariants__/ml-machine-simple/windi.config.js', './windi.config.js'], + ['./src/__viteBuildVariants__/ml-machine-simple/features.json', './features.json'] + ] +} + +const availableTargets = Object.getOwnPropertyNames(fileMoveTargets); +const buildVariantTarget = args[2]; +if (!availableTargets.includes(buildVariantTarget)) { + const listTargets = availableTargets.map(target => ` node prepEnv.js ${target}`).join("\n") + "\n"; + const errorMessage = `Invalid build variant target!\nUse on of the following build targets: \n${listTargets}`; + throw new Error(errorMessage); +} + +// The actual work +const copyFiles = fileMoveTargets[buildVariantTarget]; +copyFiles.forEach(element => { + const source = element[0]; + const destination = element[1]; + copyFile(source, destination, (err) => { + console.log("Copied ", element[0], " -> ", element[1]) + if (err) { + console.error("Failed to move ", source, " to ", destination) + throw new Error(err) + } + }) +}); \ No newline at end of file diff --git a/public/firmware/MICROBIT.hex b/public/firmware/MICROBIT.hex index 7dade5785..9db6c79a1 100644 --- a/public/firmware/MICROBIT.hex +++ b/public/firmware/MICROBIT.hex @@ -6895,22 +6895,22 @@ :10B3D000481000200519A40500203601000100884E :10B3E0003720FB349B5F80041F8000100D9DCB092C :10B3F0000020880900200E0A0020024810000000EA -:10C00000000002204DF2020075F2020077F20200F9 -:10C0100079F202007BF202007DF2020000000000D3 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-:109CAC0D1818181818181800FDC40100CDCA010099 -:109CBC0DD9000200B551020019AE0200C1B5020067 -:109CCC0DEDB90200D9EE0200D9C40100000000006C -:109CDC0D00000000514403000000000000000000D3 +:109C9C0D00000000000000000000000000000000AB +:109CAC0D000000000000000000FA0004FF03011882 +:109CBC0D1818181818181800FDC40100DDCA010079 +:109CCC0DE9000200C551020029AE0200D1B5020017 +:109CDC0DFDB90200E9EE0200D9C40100000000003C +:109CEC0D00000000614403000000000000000000B3 :020000040007F3 :1070000D00000220F97207002173070023730700A7 :1070100D2573070027730700297307000000000080 @@ -27064,6 +27065,5 @@ :1000000CFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF4 :1000000CFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF4 :1000000CFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF4 -:1000000CFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF4 :0F00000BFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF5 :00000001FF diff --git a/public/global.css b/public/global.css index e72bd689d..ecf35ba98 100644 --- a/public/global.css +++ b/public/global.css @@ -1,5 +1,8 @@ @import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600&display=swap'); -*{ font-family: 'Poppins', sans-serif; } + +* { + font-family: 'Poppins', sans-serif; +} .scrollable { -ms-overflow-style: none; @@ -35,35 +38,58 @@ } .autoscaling { - transform: scale(0.6) translate(-35%, -70%); + transform: scale(0.6) translate(-35%, -70%); +} + +@media screen and (min-width: 1200px) { + .autoscaling { + transform: scale(0.7) translate(-22%, -50%); } - @media screen and (min-width: 1200px) { - .autoscaling { - transform: scale(0.7) translate(-22%, -50%); - } +} + +@media screen and (min-width: 1400px) { + .autoscaling { + transform: scale(0.85) translate(-10%, -30%); } - @media screen and (min-width: 1400px) { - .autoscaling { - transform: scale(0.85) translate(-10%, -30%); - } +} + +@media screen and (min-width: 1600px) { + .autoscaling { + transform: scale(1) translate(0, -15%); + ; } - @media screen and (min-width: 1600px) { - .autoscaling { - transform: scale(1) translate(0, -15%);; - } +} + +@media screen and (min-width: 1900px) { + .autoscaling { + transform: scale(1.25) translate(10%, -5%); } - @media screen and (min-width: 1900px){ - .autoscaling { - transform: scale(1.25) translate(10%, -5%); - } +} + +@media screen and (min-width: 2300px) { + .autoscaling { + transform: scale(1.5) translate(18%, 5%); } - @media screen and (min-width: 2300px){ - .autoscaling { - transform: scale(1.5) translate(18%, 5%); - } +} + +@media screen and (min-width: 2700px) { + .autoscaling { + transform: scale(2) translate(25%, 10%); } - @media screen and (min-width: 2700px){ - .autoscaling { - transform: scale(2) translate(25%, 10%); - } - } \ No newline at end of file +} + + +.arrow { + pointer-events: none; +} + +.arrow__path { + stroke: #000; + fill: transparent; + stroke-dasharray: 4 2; +} + +.arrow__head line { + stroke: #000; + stroke-width: 1px; +} \ No newline at end of file diff --git a/public/imgs/brackets_blue.xcf b/public/imgs/brackets_blue.xcf new file mode 100644 index 000000000..b6ef817f8 Binary files /dev/null and b/public/imgs/brackets_blue.xcf differ diff --git a/public/imgs/dotted_graph_line.svg b/public/imgs/dotted_graph_line.svg new file mode 100644 index 000000000..96cfb156d --- /dev/null +++ b/public/imgs/dotted_graph_line.svg @@ -0,0 +1,6 @@ + + + + + \ No newline at end of file diff --git a/public/imgs/filtervectorlines.xcf b/public/imgs/filtervectorlines.xcf new file mode 100644 index 000000000..051fce703 Binary files /dev/null and b/public/imgs/filtervectorlines.xcf differ diff --git a/public/imgs/graph_left.svg b/public/imgs/graph_left.svg new file mode 100644 index 000000000..9dc611b5f --- /dev/null +++ b/public/imgs/graph_left.svg @@ -0,0 +1,6 @@ + + + + + \ No newline at end of file diff --git a/public/imgs/graph_line_rounded.svg b/public/imgs/graph_line_rounded.svg new file mode 100644 index 000000000..0483197e2 --- /dev/null +++ b/public/imgs/graph_line_rounded.svg @@ -0,0 +1,12 @@ + + + + + + \ No newline at end of file diff --git a/public/imgs/left_bracket_blue.png b/public/imgs/left_bracket_blue.png new file mode 100644 index 000000000..ab41b3070 Binary files /dev/null and b/public/imgs/left_bracket_blue.png differ diff --git a/public/imgs/parallel.svg b/public/imgs/parallel.svg new file mode 100644 index 000000000..245fe8836 --- /dev/null +++ b/public/imgs/parallel.svg @@ -0,0 +1,15 @@ + + + + + + + chart--parallel + + + \ No newline at end of file diff --git a/public/imgs/right_arrow_black.svg b/public/imgs/right_arrow_black.svg new file mode 100644 index 000000000..44b76bca2 --- /dev/null +++ b/public/imgs/right_arrow_black.svg @@ -0,0 +1,13 @@ + + + + + + + + + + + + + diff --git a/public/imgs/right_bracket_blue.png b/public/imgs/right_bracket_blue.png new file mode 100644 index 000000000..a6e6427f1 Binary files /dev/null and b/public/imgs/right_bracket_blue.png differ diff --git a/public/imgs/vector_lines_x.png b/public/imgs/vector_lines_x.png new file mode 100644 index 000000000..1b444dce2 Binary files /dev/null and b/public/imgs/vector_lines_x.png differ diff --git a/public/imgs/vector_lines_y.png b/public/imgs/vector_lines_y.png new file mode 100644 index 000000000..1e449caef Binary files /dev/null and b/public/imgs/vector_lines_y.png differ diff --git a/public/imgs/vector_lines_z.png b/public/imgs/vector_lines_z.png new file mode 100644 index 000000000..1fb8102fb Binary files /dev/null and b/public/imgs/vector_lines_z.png differ diff --git a/public/main.cjs b/public/main.cjs new file mode 100644 index 000000000..17e480977 --- /dev/null +++ b/public/main.cjs @@ -0,0 +1,13 @@ +const express = require('express'); +const path = require('path'); +const app = express(); + +app.use(express.static(path.join(__dirname, '.'))); + +app.get('/', async (req, res) => { + res.sendFile(path.join(__dirname, 'index.html')); +}); + +app.listen(8080, () => { + console.log("Server successfully running on port 8080"); +}); \ No newline at end of file diff --git a/src/App.svelte b/src/App.svelte index cddaa21bb..6c5e4f6a6 100644 --- a/src/App.svelte +++ b/src/App.svelte @@ -5,10 +5,6 @@ --> - {#if !checkCompatibility().platformAllowed} + {#if !$compatibility.platformAllowed} {:else} diff --git a/src/StaticConfiguration.ts b/src/StaticConfiguration.ts index 16ae668fd..a80daf9ca 100644 --- a/src/StaticConfiguration.ts +++ b/src/StaticConfiguration.ts @@ -10,6 +10,7 @@ import { PinTurnOnState } from './components/output/PinSelectorUtil'; import MBSpecs from './script/microbit-interfacing/MBSpecs'; import { HexOrigin } from './script/microbit-interfacing/Microbits'; +import { LayersModelTrainingSettings } from './script/mlmodels/LayersModelTrainer'; class StaticConfiguration { // in milliseconds, how long should be wait for reconnect before determining something catestrophic happened during the process? @@ -19,6 +20,9 @@ class StaticConfiguration { // After how long should we consider the connection lost if ping was not able to conclude? public static readonly connectionLostTimeoutDuration: number = 3000; + // In milliseconds, how long should each recording be? + public static readonly recordingDuration = 1800; + // Which pins are supported? public static supportedPins: MBSpecs.UsableIOPin[] = [0, 1, 2]; public static readonly defaultOutputPin: MBSpecs.UsableIOPin = 0; // Which pin should be selected by default? @@ -41,16 +45,98 @@ class StaticConfiguration { // Link to the MakeCode firmware template public static readonly makecodeFirmwareUrl = - 'https://makecode.microbit.org/#pub:54705-16835-80762-83855'; + 'https://makecode.microbit.org/#pub:52042-28239-00563-08630'; public static readonly isMicrobitOutdated = (origin: HexOrigin, version: number) => { // Current versions, remember to update these, whenever changes to firmware are made! if (origin === HexOrigin.UNKNOWN) return true; const versionNumbers = new Map(); - versionNumbers.set(HexOrigin.MAKECODE, 1); - versionNumbers.set(HexOrigin.PROPRIETARY, 1); + versionNumbers.set(HexOrigin.MAKECODE, 1); // Change the number to advise users to update old hex files + versionNumbers.set(HexOrigin.PROPRIETARY, 1); // Change the number to advise users to update old hex files return versionNumbers.get(origin) !== version; }; + + // Line colors are picked in the order of this array. + public static readonly liveGraphColors = [ + '#ff606e', + '#30f09e', + '#3030ff', + '#58355E', + '#E0FF4F', + '#FF2ECC', + '#F28F3B', + '#C8553D', + ]; + + // Colors to assign to gestures, useful for identifying gestures on graphs. + public static readonly gestureColors = [ + '#FCA311', + '#00ff81', + '#b1e400', + '#ADFCF9', + '#89A894', + '#4B644A', + '#49393B', + '#341C1C', + ]; + + // What will the min and max y-values on the livegraph be? + public static readonly liveGraphValueBounds = { + min: -2, + max: 2.3, + }; + + // How long should we wait in between each prediction? (in milliseconds) Higher is more performant, lower is smoother UI + public static readonly pollingPredictionInterval: number = 80; + + /** + * How many samples should we use for prediction? + * Higher means more data for each prediction, which hopefully means a more accurate prediction, but the higher the value, the more samples must be in the LiveDataBuffer. + * If this value is too high, the buffer may not contain enough data for predicting. + */ + public static readonly pollingPredictionSampleSize = 35; + + /** + * How far back in time should the engine look for sample data for it's current prediction? (in milliseconds). + */ + public static readonly pollingPredictionSampleDuration = 1800; + + /** + * The size od the accelerometer livedata buffer. Larger means more memory is consumed. + * Insertions are O(1) and fetching is O(n) where n is the number of items fetched. + */ + public static readonly accelerometerLiveDataBufferSize = 600; + + /** + * The minimum number of recordings per gesture to indicate sufficient data. + */ + public static readonly minNoOfRecordingsPerGesture = 3; + + /** + * If insufficient data is found in the buffer, then how many fewer data points should we attempt to sample next attempt? + */ + public static readonly pollingPredictionSampleSizeSearchStepSize = 3; + + /** + * The minimum number of gesture to indicate sufficient data. + */ + public static readonly minNoOfGestures = 2; + + /** + * The neural network training settings + */ + public static readonly layersModelTrainingSettings: LayersModelTrainingSettings = { + noOfEpochs: 80, + batchSize: 16, + learningRate: 0.5, + validationSplit: 0.1, + noOfUnits: 16, // size of hidden layer + }; + + /** + * How many samples should the KNN model use for prediction? i.e the k-value. + */ + public static readonly defaultKnnNeighbourCount = 3; } export default StaticConfiguration; diff --git a/src/__tests__/classifier.test.ts b/src/__tests__/classifier.test.ts new file mode 100644 index 000000000..d341ac81b --- /dev/null +++ b/src/__tests__/classifier.test.ts @@ -0,0 +1,43 @@ +/** + * @vitest-environment jsdom + */ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import { stores } from '../script/stores/Stores'; +import TestMLModelTrainer from './mocks/mlmodel/TestMLModelTrainer'; + +describe('Classifier tests', () => { + test('Changing matrix does not mark model as untrained', async () => { + const gesture = stores.getGestures().createGesture('some gesture'); + stores.getGestures().createGesture('some gesture2'); + await stores.getClassifier().getModel().train(new TestMLModelTrainer(2)); + + gesture.setLEDOutput(new Array(25).fill(false) as boolean[]); + expect(stores.getClassifier().getModel().isTrained()).toBe(true); + }); + + test('Adding gesture marks model as untrained', async () => { + stores.getGestures().createGesture('some gesture'); + stores.getGestures().createGesture('some gesture2'); + await stores.getClassifier().getModel().train(new TestMLModelTrainer(2)); + + stores.getGestures().createGesture('Added gesture'); + + expect(stores.getClassifier().getModel().isTrained()).toBe(false); + }); + + test('Removing gesture marks model as untrained', async () => { + stores.getGestures().createGesture('some gesture'); + stores.getGestures().createGesture('some gesture2'); + const gesture3 = stores.getGestures().createGesture('some gesture2'); + await stores.getClassifier().getModel().train(new TestMLModelTrainer(2)); + + stores.getGestures().removeGesture(gesture3.getId()); + + expect(stores.getClassifier().getModel().isTrained()).toBe(false); + }); +}); diff --git a/src/__tests__/cookie.test.ts b/src/__tests__/cookie.test.ts index 017003656..398f3de0e 100644 --- a/src/__tests__/cookie.test.ts +++ b/src/__tests__/cookie.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** diff --git a/src/__tests__/data-representation.test.ts b/src/__tests__/data-representation.test.ts new file mode 100644 index 000000000..f0cc4b4c1 --- /dev/null +++ b/src/__tests__/data-representation.test.ts @@ -0,0 +1,81 @@ +/** + * @vitest-environment jsdom + */ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import LiveDataBuffer from '../script/domain/LiveDataBuffer'; +import LiveData from '../script/domain/stores/LiveData'; +import MicrobitAccelerometerLiveData, { + MicrobitAccelerometerDataVector, +} from '../script/livedata/MicrobitAccelerometerData'; +import { repeat } from './testUtils'; +import { get } from 'svelte/store'; +import { LiveDataVector } from '../script/domain/stores/LiveDataVector'; +import SmoothedLiveData from '../script/livedata/SmoothedLiveData'; +import { smoothNewValue } from '../script/utils/graphUtils'; + +describe('Data representation tests', () => { + test('Creating accelerometer live data does not throw', () => { + expect(() => { + new MicrobitAccelerometerLiveData(new LiveDataBuffer(10)); + }).not.toThrow(); + }); + + test('Number of elements in buffer does not exceed set amount', () => { + const elemsInBuffer = 10; + const liveData = new MicrobitAccelerometerLiveData(new LiveDataBuffer(elemsInBuffer)); + + repeat( + () => liveData.put(new MicrobitAccelerometerDataVector({ x: 0, y: 0, z: 0 })), + 20, + ); + + expect(() => liveData.getBuffer().getSeries(100, elemsInBuffer)).not.toThrow(); + expect(liveData.getBuffer().getSeries(100, 10).length).toEqual(10); + + expect(() => liveData.getBuffer().getSeries(100, elemsInBuffer + 1)).toThrow(); + }); + + test('Can extract vectors from live data', () => { + const liveData: LiveData = new MicrobitAccelerometerLiveData( + new LiveDataBuffer(10), + ); + + repeat( + () => liveData.put(new MicrobitAccelerometerDataVector({ x: 1, y: 2, z: 3 })), + 20, + ); + + expect(() => get(liveData).getVector()).not.toThrow(); + expect(get(liveData).getVector()).toEqual([1, 2, 3]); + }); + + test('Test smoothed values', () => { + const liveData: LiveData = + new MicrobitAccelerometerLiveData(new LiveDataBuffer(20)); + const smoothLiveData = new SmoothedLiveData(liveData, 2); + + const point1 = new MicrobitAccelerometerDataVector({ x: 3, y: 2, z: 1 }); + const point2 = new MicrobitAccelerometerDataVector({ x: 1, y: 2, z: 3 }); + + liveData.put(point1); + liveData.put(point2); + + expect(get(smoothLiveData).getVector()[0]).toBeCloseTo( + smoothNewValue(point2.getVector()[0], point1.getVector()[0]), + 10, + ); + expect(get(smoothLiveData).getVector()[1]).toBeCloseTo( + smoothNewValue(point2.getVector()[1], point1.getVector()[1]), + 10, + ); + expect(get(smoothLiveData).getVector()[2]).toBeCloseTo( + smoothNewValue(point2.getVector()[2], point1.getVector()[2]), + 10, + ); + }); +}); diff --git a/src/__tests__/datafunctions.test.ts b/src/__tests__/datafunctions.test.ts deleted file mode 100644 index c4cf2fd08..000000000 --- a/src/__tests__/datafunctions.test.ts +++ /dev/null @@ -1,22 +0,0 @@ -/** - * @jest-environment jsdom - */ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ - -import fs from 'fs'; -import { determineFilter, Filters } from '../script/datafunctions'; -import { doesNotThrow } from 'assert'; -function enumKeys(obj: O): K[] { - return Object.keys(obj).filter(k => Number.isNaN(+k)) as K[]; -} -describe('Data functions architecture test', () => { - test('All filters should be implemented in determineFilter', () => { - for (const filter of enumKeys(Filters)) { - expect(() => determineFilter(Filters[filter])).not.toThrow(); - } - }); -}); diff --git a/src/__tests__/default-build-config.test.ts b/src/__tests__/default-build-config.test.ts index 3f7bc1f8d..18cceeda7 100644 --- a/src/__tests__/default-build-config.test.ts +++ b/src/__tests__/default-build-config.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors @@ -10,9 +10,25 @@ import fs from 'fs'; describe('Default build config test', () => { - test('Windi config should not be ml-machine', () => { - const fileContent = fs.readFileSync('windi.config.js'); + test('Windi config should not be ml-machine when unbranded', () => { + const fileContent = fs.readFileSync( + 'src/__viteBuildVariants__/unbranded/windi.config.js', + ); expect(fileContent.includes("primary: '#2B5EA7'")).toBeFalsy(); expect(fileContent.includes("secondary: '#2CCAC0'")).toBeFalsy(); }); + + test('Default config should be unbranded', () => { + const windiContent = fs.readFileSync('windi.config.js'); + + const featuresContent = fs.readFileSync('features.json'); + const features = JSON.parse(featuresContent.toString()) as Partial<{ title: string }>; + + const message = + "The default config file was determined to be a branded version of ML machine. Please run command 'node prepEnv.js unbranded' before committing"; + + expect(windiContent.includes("primary: '#2B5EA7'"), message).toBeFalsy(); + expect(windiContent.includes("secondary: '#2CCAC0'"), message).toBeFalsy(); + expect(features.title, message).toBe('Learning tool'); + }); }); diff --git a/src/__tests__/engine.test.ts b/src/__tests__/engine.test.ts new file mode 100644 index 000000000..6259c49a5 --- /dev/null +++ b/src/__tests__/engine.test.ts @@ -0,0 +1,26 @@ +/** + * @vitest-environment jsdom + */ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import { get } from 'svelte/store'; +import LiveDataBuffer from '../script/domain/LiveDataBuffer'; +import MicrobitAccelerometerLiveData from '../script/livedata/MicrobitAccelerometerData'; +import { stores } from '../script/stores/Stores'; + +describe('Engine behaviour test', () => { + test('Engine should stop predicting when the LiveData store is set', () => { + const liveData = new MicrobitAccelerometerLiveData(new LiveDataBuffer(10)); + stores.setLiveData(liveData); + const engine = stores.getEngine(); + expect(get(engine).isRunning).toBe(true); + const newLiveData = new MicrobitAccelerometerLiveData(new LiveDataBuffer(10)); + stores.setLiveData(newLiveData); + expect(get(engine).isRunning).toBe(false); + expect(get(stores.getEngine()).isRunning).toBe(true); + }); +}); diff --git a/src/__tests__/gestures.test.ts b/src/__tests__/gestures.test.ts new file mode 100644 index 000000000..85ff6a529 --- /dev/null +++ b/src/__tests__/gestures.test.ts @@ -0,0 +1,44 @@ +/** + * @vitest-environment jsdom + */ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import { stores } from '../script/stores/Stores'; + +describe('Tests of Gestures', () => { + beforeEach(() => { + stores.getGestures().clearGestures(); + }); + test('Creating gesture does not throw', () => { + expect(() => { + stores.getGestures().createGesture('test'); + }).not.toThrow(); + }); + + test('Creating 2 gestures makes total number of gesture 2', () => { + stores.getGestures().createGesture('Gesture1'); + stores.getGestures().createGesture('Gesture2'); + + expect(stores.getGestures().getGestures().length).toBe(2); + }); + + test('Can get gesture after creation', () => { + const gestureName = 'test1234'; + const gesture = stores.getGestures().createGesture(gestureName); + const fetchedGesture = stores.getGestures().getGesture(gesture.getId()); + expect(fetchedGesture.getName()).toBe(gestureName); + }); + + test('Clearing gestures clears gestures', () => { + stores.getGestures().createGesture('gestureName'); + stores.getGestures().createGesture('gestureName'); + + stores.getGestures().clearGestures(); + + expect(stores.getGestures().getGestures().length).toBe(0); + }); +}); diff --git a/src/__tests__/i18n.test.ts b/src/__tests__/i18n.test.ts index 9799cecd6..19ed911cb 100644 --- a/src/__tests__/i18n.test.ts +++ b/src/__tests__/i18n.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors @@ -7,18 +7,20 @@ * SPDX-License-Identifier: MIT */ import { get } from 'svelte/store'; +import { MockInstance } from 'vitest'; +import { spyOn } from '@vitest/spy'; describe('Initialization tests', () => { - let windowSpy: jest.SpyInstance; + let windowSpy: MockInstance<[], any>; beforeEach(() => { - windowSpy = jest.spyOn(window, 'window', 'get'); + windowSpy = spyOn(window, 'window', 'get'); }); afterEach(() => { windowSpy.mockRestore(); localStorage.clear(); - jest.resetModules(); + vitest.resetModules(); }); test('Language is set to danish when it is the preferred browser option', async () => { diff --git a/src/__tests__/license-identifiers.test.ts b/src/__tests__/license-identifiers.test.ts index 0e1cc811c..36dabf6ae 100644 --- a/src/__tests__/license-identifiers.test.ts +++ b/src/__tests__/license-identifiers.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors @@ -8,11 +8,10 @@ */ import fs from 'fs'; -import 'jest-expect-message'; import * as path from 'path'; // Place files you wish to ignore by name in here -const ignoredFiles: string[] = ['.DS_Store']; +const ignoredFiles: string[] = ['.DS_Store', 'ui.da.json', 'ui.en.json', 'README.md']; const directoriesToScan = ['./src/', './microbit/v2/source/', './microbit/v1/source/']; const licenseIdentifierStringContributors = @@ -36,6 +35,7 @@ const readDirectory = (directory: string, ignoreList: string[]): DirectoryConten const filesRead = fs.readdirSync(directory); filesRead.forEach(file => { if (ignoreList.includes(file)) return; + if (file.endsWith('.json')) return; // Json cant have comments const fileLocation = path.join(directory, file); const stats = fs.statSync(fileLocation); if (stats.isFile()) { @@ -79,7 +79,7 @@ describe('License identifier tests', () => { test( 'All files should contain license identifier', () => { - const flatten = directoriesToScan.reduce((acc: any, current) => { + const flatten = directoriesToScan.reduce((acc: string[], current) => { return acc.concat(flattenDirectory(current)); }, []); diff --git a/src/__tests__/microbit-behaviours.test.ts b/src/__tests__/microbit-behaviours.test.ts index 2a8ebb4a5..dda99dfd3 100644 --- a/src/__tests__/microbit-behaviours.test.ts +++ b/src/__tests__/microbit-behaviours.test.ts @@ -1,16 +1,15 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors * * SPDX-License-Identifier: MIT */ -import 'svelte-jester'; import Microbits from '../script/microbit-interfacing/Microbits'; -import ConnectionBehaviours from '../script/connection-behaviours/ConnectionBehaviours'; -import OutputBehaviour from '../script/connection-behaviours/OutputBehaviour'; -import InputBehaviour from '../script/connection-behaviours/InputBehaviour'; +import ConnectionBehaviours from '../script/microbit-interfacing/connection-behaviours/ConnectionBehaviours'; +import OutputBehaviour from '../script/microbit-interfacing/connection-behaviours/OutputBehaviour'; +import InputBehaviour from '../script/microbit-interfacing/connection-behaviours/InputBehaviour'; import SpyConnectionBehaviour from './mocks/SpyConnectionBehaviour'; import MockBTDevice from './mocks/mock-microbit-bluetooth'; diff --git a/src/__tests__/microbit-bluetooth-connection.test.ts b/src/__tests__/microbit-bluetooth-connection.test.ts index fb8e4ee88..328e5b99d 100644 --- a/src/__tests__/microbit-bluetooth-connection.test.ts +++ b/src/__tests__/microbit-bluetooth-connection.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors @@ -7,7 +7,6 @@ * SPDX-License-Identifier: MIT */ -import 'svelte-jester'; import MicrobitBluetooth from '../script/microbit-interfacing/MicrobitBluetooth'; import MockBTDevice from './mocks/mock-microbit-bluetooth'; import TypingUtils from '../script/TypingUtils'; @@ -171,16 +170,16 @@ describe('Microbit Bluetooth interface tests', () => { test('Request device yields device', async () => { const device = await MicrobitBluetooth.requestDevice( - 'vatav', TypingUtils.emptyFunction, + 'vatav', ); expect(device).toBeDefined(); }); test('Can connect to requested device', async () => { const device = await MicrobitBluetooth.requestDevice( - 'vatav', TypingUtils.emptyFunction, + 'vatav', ); const con = await MicrobitBluetooth.createMicrobitBluetooth( diff --git a/src/__tests__/microbit-facade.test.ts b/src/__tests__/microbit-facade.test.ts index 73db44229..e732c81b0 100644 --- a/src/__tests__/microbit-facade.test.ts +++ b/src/__tests__/microbit-facade.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors @@ -7,11 +7,10 @@ * SPDX-License-Identifier: MIT */ -import 'svelte-jester'; import Microbits from '../script/microbit-interfacing/Microbits'; -import ConnectionBehaviours from '../script/connection-behaviours/ConnectionBehaviours'; -import OutputBehaviour from '../script/connection-behaviours/OutputBehaviour'; -import InputBehaviour from '../script/connection-behaviours/InputBehaviour'; +import ConnectionBehaviours from '../script/microbit-interfacing/connection-behaviours/ConnectionBehaviours'; +import OutputBehaviour from '../script/microbit-interfacing/connection-behaviours/OutputBehaviour'; +import InputBehaviour from '../script/microbit-interfacing/connection-behaviours/InputBehaviour'; import SpyConnectionBehaviour from './mocks/SpyConnectionBehaviour'; import MockBTDevice from './mocks/mock-microbit-bluetooth'; @@ -35,7 +34,7 @@ describe('Microbit facade tests', () => { Object.assign(navigator, { bluetooth: { requestDevice( - options?: RequestDeviceOptions & { filters?: any | any[] }, + options?: RequestDeviceOptions & { filters?: { namePrefix: string }[] }, ): Promise { const microBitName = 'vatav'; if (!options) { @@ -97,7 +96,7 @@ describe('Microbit facade tests', () => { test('Can connect the same microbit to output and input', async () => { const wasConnected = await Microbits.assignInput('vatav'); - await Microbits.useInputAsOutput(); + Microbits.useInputAsOutput(); expect(wasConnected).toBeTruthy(); expect(Microbits.isOutputAssigned()).toBeTruthy(); expect(Microbits.isInputAssigned()).toBeTruthy(); @@ -106,7 +105,7 @@ describe('Microbit facade tests', () => { test('When same, disconnecting input also disconnects output', async () => { const wasConnected = await Microbits.assignInput('vatav'); - await Microbits.useInputAsOutput(); + Microbits.useInputAsOutput(); expect(wasConnected).toBeTruthy(); Microbits.expelInputAndOutput(); expect(Microbits.isOutputAssigned()).toBeFalsy(); diff --git a/src/__tests__/microbit-usb-conection.test.ts b/src/__tests__/microbit-usb-conection.test.ts index 90fc0c555..783e4d9a9 100644 --- a/src/__tests__/microbit-usb-conection.test.ts +++ b/src/__tests__/microbit-usb-conection.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors @@ -7,7 +7,6 @@ * SPDX-License-Identifier: MIT */ -import 'svelte-jester'; import MockUSBDevice, { TestableMicrobitUSB } from './mocks/mock-usb'; describe('Microbit USB connection tests', () => { diff --git a/src/__tests__/mocks/SpyConnectionBehaviour.ts b/src/__tests__/mocks/SpyConnectionBehaviour.ts index 25b7bc738..232625548 100644 --- a/src/__tests__/mocks/SpyConnectionBehaviour.ts +++ b/src/__tests__/mocks/SpyConnectionBehaviour.ts @@ -4,7 +4,7 @@ * SPDX-License-Identifier: MIT */ -import type ConnectionBehaviour from '../../script/connection-behaviours/ConnectionBehaviour'; +import type ConnectionBehaviour from '../../script/microbit-interfacing/connection-behaviours/ConnectionBehaviour'; import MicrobitBluetooth from '../../script/microbit-interfacing/MicrobitBluetooth'; import MBSpecs from '../../script/microbit-interfacing/MBSpecs'; @@ -13,7 +13,7 @@ import MBSpecs from '../../script/microbit-interfacing/MBSpecs'; */ class SpyConnectionBehaviour implements ConnectionBehaviour { onIdentifiedAsOutdated(): void { - throw new Error('Method not implemented.'); + // Empty } onVersionIdentified(versionNumber: number): void { throw new Error('Method not implemented.'); diff --git a/src/__tests__/mocks/mlmodel/TestMLModel.ts b/src/__tests__/mocks/mlmodel/TestMLModel.ts new file mode 100644 index 000000000..bf3c27db6 --- /dev/null +++ b/src/__tests__/mocks/mlmodel/TestMLModel.ts @@ -0,0 +1,20 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import MLModel from '../../../script/domain/MLModel'; + +class TestMLModel implements MLModel { + constructor(private numberOfGestures: number) {} + + // Predicts a random gesture as 100% confident + predict(filteredData: number[]): Promise { + const result = new Array(this.numberOfGestures).fill(0) as number[]; + const predicted = Math.floor(Math.random() * this.numberOfGestures); + result[predicted] = 1; + return Promise.resolve(result); + } +} + +export default TestMLModel; diff --git a/src/__tests__/mocks/mlmodel/TestMLModelTrainer.ts b/src/__tests__/mocks/mlmodel/TestMLModelTrainer.ts new file mode 100644 index 000000000..686c4cb28 --- /dev/null +++ b/src/__tests__/mocks/mlmodel/TestMLModelTrainer.ts @@ -0,0 +1,16 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import ModelTrainer, { TrainingData } from '../../../script/domain/ModelTrainer'; +import TestMLModel from './TestMLModel'; + +class TestMLModelTrainer implements ModelTrainer { + constructor(private numberOfGestures: number) {} + public trainModel(trainingData: TrainingData): Promise { + return Promise.resolve(new TestMLModel(this.numberOfGestures)); + } +} + +export default TestMLModelTrainer; diff --git a/src/__tests__/mocks/mock-bluetooth-info-service.ts b/src/__tests__/mocks/mock-bluetooth-info-service.ts index 8a685b9f5..2a44c77b0 100644 --- a/src/__tests__/mocks/mock-bluetooth-info-service.ts +++ b/src/__tests__/mocks/mock-bluetooth-info-service.ts @@ -127,7 +127,10 @@ export class MockBluetoothModelNumberCharacteristic readonly service: BluetoothRemoteGATTService; readonly uuid: string = ''; - constructor(public versionNumber: number, service: BluetoothRemoteGATTService) { + constructor( + public versionNumber: number, + service: BluetoothRemoteGATTService, + ) { this.service = service; } diff --git a/src/__tests__/testUtils.ts b/src/__tests__/testUtils.ts new file mode 100644 index 000000000..602db82f7 --- /dev/null +++ b/src/__tests__/testUtils.ts @@ -0,0 +1,10 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +export const repeat = (func: (a?: any) => any, n: number) => { + for (let i = 0; i < n; i++) { + func(); + } +}; diff --git a/src/__tests__/translations.test.ts b/src/__tests__/translations.test.ts index a58bb03f2..9bb32b3c1 100644 --- a/src/__tests__/translations.test.ts +++ b/src/__tests__/translations.test.ts @@ -1,37 +1,33 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors * * SPDX-License-Identifier: MIT */ -import translations from '../translations'; +import da from './../messages/ui.da.json'; +import en from './../messages/ui.en.json'; describe('Translation tests', () => { test('Should be same number of translations', () => { - const danishTranslationCount = Object.keys(translations.da).length; - const englishTranslationCount = Object.keys(translations.en).length; + const danishTranslationCount = Object.keys(da).length; + const englishTranslationCount = Object.keys(en).length; expect(danishTranslationCount).toEqual(englishTranslationCount); }); test('Translations are the same', () => { - const danishTranslationKeys = Object.getOwnPropertyNames( - translations.da, - ) as (keyof typeof translations.da)[]; + const danishTranslationKeys = Object.getOwnPropertyNames(da) as (keyof typeof da)[]; for (let i = 0; i < danishTranslationKeys.length; i++) { const danishKey = danishTranslationKeys[i]; - expect( - translations.en[danishKey], - 'Something not the same -> ' + danishKey, - ).toBeDefined(); + expect(en[danishKey], 'Something not the same -> ' + danishKey).toBeDefined(); } }); // Mostly an architecture test test('Translations should be in the same order', () => { - const danishTranslationKeys = Object.getOwnPropertyNames(translations.da); - const englishTranslationKeys = Object.getOwnPropertyNames(translations.en); + const danishTranslationKeys = Object.getOwnPropertyNames(da); + const englishTranslationKeys = Object.getOwnPropertyNames(en); for (let i = 0; i < englishTranslationKeys.length; i++) { const danishKey = danishTranslationKeys[i]; const englishKey = englishTranslationKeys[i]; diff --git a/src/__tests__/unusedTranslations.test.ts b/src/__tests__/unusedTranslations.test.ts index 659e99899..16550c5d9 100644 --- a/src/__tests__/unusedTranslations.test.ts +++ b/src/__tests__/unusedTranslations.test.ts @@ -1,5 +1,5 @@ /** - * @jest-environment jsdom + * @vitest-environment jsdom */ /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors @@ -7,12 +7,10 @@ * SPDX-License-Identifier: MIT */ -import translations from '../translations'; +import en from './../messages/ui.en.json'; import * as fs from 'fs'; import * as path from 'path'; -import 'jest-expect-message'; - const ignoredFiles = ['translations.ts', 'smoothie.js', '__tests__']; const readFile = (fileLocation: string, expect: string) => { @@ -67,7 +65,7 @@ const filesIncludesExpression = (files: string[], expect: string): boolean => { test( 'All translations should be used', () => { - const translationKeys = Object.getOwnPropertyNames(translations.en); + const translationKeys = Object.getOwnPropertyNames(en); const flatten = flattenDirectory('./src/'); for (let i = 0; i < translationKeys.length; i++) { const translationKey = translationKeys[i]; diff --git a/src/__viteBuildVariants__/ml-machine-simple/features.json b/src/__viteBuildVariants__/ml-machine-simple/features.json new file mode 100644 index 000000000..1c4b872b5 --- /dev/null +++ b/src/__viteBuildVariants__/ml-machine-simple/features.json @@ -0,0 +1,6 @@ +{ + "title": "ML-Machine", + "knnModel": false, + "lossGraph": false, + "makecode": false +} diff --git a/src/__viteBuildVariants__/ml-machine-simple/windi.config.js b/src/__viteBuildVariants__/ml-machine-simple/windi.config.js new file mode 100644 index 000000000..e41e5fe6e --- /dev/null +++ b/src/__viteBuildVariants__/ml-machine-simple/windi.config.js @@ -0,0 +1,34 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +//Ml-Machine colors + +export default { + theme: { + extend: { + colors: { + primary: '#2B5EA7', + primarytext: '#000000', + secondary: '#2CCAC0', + secondarytext: '#FFFFFF', + info: '#98A2B3', + backgrounddark: '#F5F5F5', + backgroundlight: '#ffffff', + infolight: '#93c5fd', + link: '#258aff', + warning: '#FF7777', + disabled: '#8892A3', + primaryborder: '#E5E7EB', + infobglight: '#E7E5E4', + infobgdark: '#57534E', + infoiconlight: '#FFFFFF7F', + infoicondark: '#787878', + infotextlight: '#ffffff', + infotextdark: '#787878', + }, + }, + }, +}; diff --git a/src/__viteBuildVariants__/ml-machine/features.json b/src/__viteBuildVariants__/ml-machine/features.json new file mode 100644 index 000000000..15cb272de --- /dev/null +++ b/src/__viteBuildVariants__/ml-machine/features.json @@ -0,0 +1,6 @@ +{ + "title": "ML-Machine", + "knnModel": true, + "lossGraph": true, + "makecode": true +} diff --git a/src/__viteBuildVariants__/ml-machine/windi.config.js b/src/__viteBuildVariants__/ml-machine/windi.config.js index 84b114522..e41e5fe6e 100644 --- a/src/__viteBuildVariants__/ml-machine/windi.config.js +++ b/src/__viteBuildVariants__/ml-machine/windi.config.js @@ -18,6 +18,7 @@ export default { backgrounddark: '#F5F5F5', backgroundlight: '#ffffff', infolight: '#93c5fd', + link: '#258aff', warning: '#FF7777', disabled: '#8892A3', primaryborder: '#E5E7EB', diff --git a/src/__viteBuildVariants__/unbranded/features.json b/src/__viteBuildVariants__/unbranded/features.json new file mode 100644 index 000000000..97c1de396 --- /dev/null +++ b/src/__viteBuildVariants__/unbranded/features.json @@ -0,0 +1,6 @@ +{ + "title": "Learning tool", + "knnModel": true, + "lossGraph": true, + "makecode": true +} diff --git a/src/__viteBuildVariants__/unbranded/windi.config.js b/src/__viteBuildVariants__/unbranded/windi.config.js new file mode 100644 index 000000000..a5525d9a8 --- /dev/null +++ b/src/__viteBuildVariants__/unbranded/windi.config.js @@ -0,0 +1,34 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +//Ml-Machine colors + +export default { + theme: { + extend: { + colors: { + primary: '#3a3a3a', + primarytext: '#000000', + secondary: '#a0a0a0', + secondarytext: '#FFFFFF', + info: '#98A2B3', + backgrounddark: '#F5F5F5', + backgroundlight: '#ffffff', + infolight: '#93c5fd', + link: '#258aff', + warning: '#ffaaaa', + disabled: '#8892A3', + primaryborder: '#E5E7EB', + infobglight: '#E7E5E4', + infobgdark: '#57534E', + infoiconlight: '#FFFFFF7F', + infoicondark: '#787878', + infotextlight: '#ffffff', + infotextdark: '#787878', + }, + }, + }, +}; diff --git a/src/appInsights.ts b/src/appInsights.ts index cc421f112..3e29853cc 100644 --- a/src/appInsights.ts +++ b/src/appInsights.ts @@ -8,12 +8,15 @@ import { ApplicationInsights } from '@microsoft/applicationinsights-web'; import CookieManager from './script/CookieManager'; const load = () => { + if (location.hostname !== "ml-machine.org") { + return; + } if (CookieManager.getComplianceChoices().analytics) { appInsights.loadAppInsights(); appInsights.trackPageView(); // Manually call trackPageView to establish the current user/session/pageview } }; -const appInsights = new ApplicationInsights({ +export const appInsights = new ApplicationInsights({ config: { connectionString: 'InstrumentationKey=9ff70ae9-1397-4b70-85f2-2d3e80a29113;IngestionEndpoint=https://northeurope-2.in.applicationinsights.azure.com/;LiveEndpoint=https://northeurope.livediagnostics.monitor.azure.com/', diff --git a/src/components/3d-inspector/View3DLive.svelte b/src/components/3d-inspector/View3DLive.svelte index 1c99df7a7..628769fe0 100644 --- a/src/components/3d-inspector/View3DLive.svelte +++ b/src/components/3d-inspector/View3DLive.svelte @@ -5,7 +5,8 @@ --> diff --git a/src/components/3d-inspector/View3DUnsafe.svelte b/src/components/3d-inspector/View3DUnsafe.svelte index 91982879c..ad9ca878c 100644 --- a/src/components/3d-inspector/View3DUnsafe.svelte +++ b/src/components/3d-inspector/View3DUnsafe.svelte @@ -26,7 +26,7 @@ let microbitModel: THREE.Scene; // TODO: We have undefined checks for these, but their types do not indicate they could ever be undefined let canvas: HTMLCanvasElement; // TODO: We have undefined checks for these, but their types do not indicate they could ever be undefined let renderer: THREE.WebGLRenderer; - let updater: NodeJS.Timer | undefined; + let updater: NodeJS.Timeout | undefined; /** * ASSIGNED VARIABLES diff --git a/src/components/3d-inspector/View3DUtility.ts b/src/components/3d-inspector/View3DUtility.ts index e603c3b02..d0f06b21d 100644 --- a/src/components/3d-inspector/View3DUtility.ts +++ b/src/components/3d-inspector/View3DUtility.ts @@ -135,6 +135,7 @@ export type Bars = { }; export type Vector3 = { + // TODO: do we need Vector3? x: number; y: number; z: number; diff --git a/src/components/ConnectionOfflineWarning.svelte b/src/components/ConnectionOfflineWarning.svelte deleted file mode 100644 index 1f5e564b3..000000000 --- a/src/components/ConnectionOfflineWarning.svelte +++ /dev/null @@ -1,94 +0,0 @@ - - - - -{#if connectionsFailed > 5} - (isOpen = false)}> -
-

- {$t('dialog.connection.lost.header')} -

-

- {$t('dialog.connection.lost.body')} -

-

{animatedDots}

-
- -{/if} diff --git a/src/components/DevTools.svelte b/src/components/DevTools.svelte new file mode 100644 index 000000000..8ff746107 --- /dev/null +++ b/src/components/DevTools.svelte @@ -0,0 +1,22 @@ + + + + { + navigate(Paths.PLAYGROUND); + }}> + Go to playground + diff --git a/src/components/Gesture.svelte b/src/components/Gesture.svelte index 39a089dd8..dcf8aabe4 100644 --- a/src/components/Gesture.svelte +++ b/src/components/Gesture.svelte @@ -13,30 +13,26 @@ state, microbitInteraction, MicrobitInteractions, - } from '../script/stores/uiStore'; - import { - addRecording, chosenGesture, - livedata, - type RecordingData, - removeRecording, - settings, - } from '../script/stores/mlStore'; + } from '../script/stores/uiStore'; import Recording from './Recording.svelte'; import { t } from '../i18n'; - import StandardButton from './StandardButton.svelte'; + import StandardButton from './buttons/StandardButton.svelte'; import ImageSkeleton from './skeletonloading/ImageSkeleton.svelte'; import GestureTilePart from './GestureTilePart.svelte'; import StaticConfiguration from '../StaticConfiguration'; - import Gesture from '../script/stores/Gesture'; - import { gestures } from '../script/stores/Stores'; + import Gesture from '../script/domain/stores/gesture/Gesture'; + import { RecordingData } from '../script/domain/stores/gesture/Gestures'; + import { stores } from '../script/stores/Stores'; // Variables for component export let onNoMicrobitSelect: () => void; export let gesture: Gesture; + const gestures = stores.getGestures(); + $: liveData = $stores.liveData; const defaultNewName = $t('content.data.classPlaceholderNewClass'); - const recordingDuration = get(settings).duration; + const recordingDuration = StaticConfiguration.recordingDuration; let isThisRecording = false; @@ -59,7 +55,6 @@ ) { return; } - $state.isPredicting = false; setTimeout(() => { gestures.removeGesture(gesture.getId()); @@ -80,10 +75,10 @@ let newData: { x: number[]; y: number[]; z: number[] } = { x: [], y: [], z: [] }; // Set timeout to allow recording in 1s - const unsubscribe = livedata.subscribe(data => { - newData.x.push(data.accelX); - newData.y.push(data.accelY); - newData.z.push(data.accelZ); + const unsubscribe = liveData.subscribe(data => { + newData.x.push(data.getVector()[0]); + newData.y.push(data.getVector()[1]); + newData.z.push(data.getVector()[2]); }); // Once duration is over (1000ms default), stop recording @@ -91,9 +86,9 @@ $state.isRecording = false; isThisRecording = false; unsubscribe(); - if (get(settings).numSamples <= newData.x.length) { + if (StaticConfiguration.pollingPredictionSampleSize <= newData.x.length) { const recording = { ID: Date.now(), data: newData } as RecordingData; - addRecording(gesture.getId(), recording); + gesture.addRecording(recording); } else { alertUser($t('alert.recording.disconnectedDuringRecording')); } @@ -105,8 +100,7 @@ if (!areActionsAllowed(false)) { return; } - $state.isPredicting = false; - removeRecording(gesture.getId(), recording.ID); + gesture.removeRecording(recording.ID); } // Selecting this gesture for recording. Updates settings accordingly @@ -160,7 +154,9 @@ event.preventDefault(); alertUser( $t('alert.data.classNameLengthAlert', { - maxLen: StaticConfiguration.gestureNameMaxLength, + values: { + maxLen: StaticConfiguration.gestureNameMaxLength, + }, }), ); return false; @@ -185,14 +181,16 @@
+
+
import { areActionsAllowed } from '../script/stores/uiStore'; - import { addGesture } from '../script/stores/mlStore'; import { t } from '../i18n'; + import { stores } from '../script/stores/Stores'; + + const gestures = stores.getGestures(); const defaultNewName = $t('content.data.classPlaceholderNewClass'); @@ -21,7 +23,7 @@ if (!areActionsAllowed(false)) { return; } - addGesture(defaultNewName); + gestures.createGesture(defaultNewName); } diff --git a/src/components/OutdatedMicrobitWarning.svelte b/src/components/OutdatedMicrobitWarning.svelte index 7540869bd..49f575222 100644 --- a/src/components/OutdatedMicrobitWarning.svelte +++ b/src/components/OutdatedMicrobitWarning.svelte @@ -6,7 +6,7 @@
-

+

{$t('menu.trainer.notConnected1')}

-

+

{$t('menu.trainer.notConnected2')}

-
+
down arrow icon + width="35px" />
diff --git a/src/components/Range.svelte b/src/components/Range.svelte new file mode 100644 index 000000000..4eec41c97 --- /dev/null +++ b/src/components/Range.svelte @@ -0,0 +1,323 @@ + + + + + + + + + +
+
+
+
+
(thumbHover = true)} + on:mouseout={() => (thumbHover = false)}> + {#if holding || thumbHover} +
+ {value} +
+ {/if} +
+
+
+
+ + + + diff --git a/src/components/ReconnectPrompt.svelte b/src/components/ReconnectPrompt.svelte index 659159227..f93753c99 100644 --- a/src/components/ReconnectPrompt.svelte +++ b/src/components/ReconnectPrompt.svelte @@ -6,7 +6,7 @@
- {#if $state.isPredicting || $state.isTraining || $state.isOutputConnected} + {#if $model.hasModel || $model.isTraining || $state.isOutputConnected} {#if $state.isOutputAssigned} {#if !$state.isOutputConnected || $state.isOutputReady} diff --git a/src/components/buttons/Buttons.ts b/src/components/buttons/Buttons.ts new file mode 100644 index 000000000..1f9e92744 --- /dev/null +++ b/src/components/buttons/Buttons.ts @@ -0,0 +1,9 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +export type DropdownOption = { + id: unknown; + label: string; +}; diff --git a/src/components/StandardButton.svelte b/src/components/buttons/StandardButton.svelte similarity index 72% rename from src/components/StandardButton.svelte rename to src/components/buttons/StandardButton.svelte index 153b629ea..4f660c1d3 100644 --- a/src/components/StandardButton.svelte +++ b/src/components/buttons/StandardButton.svelte @@ -19,6 +19,8 @@ } .filled { background-color: var(--color); + border-width: var(--border-width); + border-color: transparent; opacity: 1; color: white; } @@ -31,10 +33,18 @@ -
+
diff --git a/src/components/buttons/StandardDropdownButton.svelte b/src/components/buttons/StandardDropdownButton.svelte new file mode 100644 index 000000000..26cff680b --- /dev/null +++ b/src/components/buttons/StandardDropdownButton.svelte @@ -0,0 +1,162 @@ + + + + + + +
+
+ + +
+ {#each options as option, index} +

{ + if (!isDropdownOpen) return; + optionClickHandler(option); + }} + style="--color: {bgColors[disabled ? 'disabled' : color]}" + class:rounded-t={index === 0} + class:rounded-b={index === options.length - 1} + class:bg-backgroundlight={outlined} + class:cursor-pointer={isDropdownOpen} + class:filled={!outlined} + class="p-2 hoverable select-none"> + {option.label} +

+ {/each} +
+
+
diff --git a/src/components/connection-prompt/ConnectDialogContainer.svelte b/src/components/connection-prompt/ConnectDialogContainer.svelte index 31c765bd2..9458850b5 100644 --- a/src/components/connection-prompt/ConnectDialogContainer.svelte +++ b/src/components/connection-prompt/ConnectDialogContainer.svelte @@ -22,6 +22,7 @@ import { btPatternInput, btPatternOutput } from '../../script/stores/connectionStore'; import MBSpecs from '../../script/microbit-interfacing/MBSpecs'; import BrokenFirmwareDetected from './usb/BrokenFirmwareDetected.svelte'; + import { onMount } from 'svelte'; let flashProgress = 0; @@ -56,12 +57,15 @@ }) .catch((e: Error) => { // Couldn't find name. Set to manual transfer progress instead + + $connectionDialogState.connectionState = ConnectDialogStates.MANUAL_TUTORIAL; + /* TODO: Disabled the broken firmware warning for now if (e.message.includes('No valid interfaces found')) { // Edge case, caused by a bad micro:bit firmware $connectionDialogState.connectionState = ConnectDialogStates.BAD_FIRMWARE; } else { - $connectionDialogState.connectionState = ConnectDialogStates.MANUAL_TUTORIAL; } +*/ }); } diff --git a/src/components/connection-prompt/ConnectSameDialog.svelte b/src/components/connection-prompt/ConnectSameDialog.svelte index 5c94c411b..0b0df8f95 100644 --- a/src/components/connection-prompt/ConnectSameDialog.svelte +++ b/src/components/connection-prompt/ConnectSameDialog.svelte @@ -5,7 +5,7 @@ -->
@@ -109,6 +127,14 @@ {#if $state.requestDeviceWasCancelled && !isConnecting}

{$t('popup.connectMB.bluetooth.cancelledConnection')}

+

+ {$t('popup.connectMB.bluetooth.cancelledConnection.noNameDescription')} + + {$t('popup.connectMB.bluetooth.cancelledConnection.noNameLink')} + +

{/if} {#if attemptedToPairWithInvalidPattern}

{$t('popup.connectMB.bluetooth.invalidPattern')}

@@ -120,9 +146,9 @@ loading
{#if $timeouted} -
-

{$t('popup.connectMB.bluetooth.timeouted')}

-
+
+

{$t('popup.connectMB.bluetooth.timeouted')}

+
{/if} {:else}
@@ -136,8 +162,11 @@
- {$t('popup.connectMB.bluetooth.connect')} +
+ + {$t('popup.connectMB.bluetooth.connect')} + +
{/if} diff --git a/src/components/connection-prompt/usb/BrokenFirmwareDetected.svelte b/src/components/connection-prompt/usb/BrokenFirmwareDetected.svelte index 0415cfa98..7ead38473 100644 --- a/src/components/connection-prompt/usb/BrokenFirmwareDetected.svelte +++ b/src/components/connection-prompt/usb/BrokenFirmwareDetected.svelte @@ -5,13 +5,13 @@ -->
diff --git a/src/components/connection-prompt/usb/DoneDownloadingDialog.svelte b/src/components/connection-prompt/usb/DoneDownloadingDialog.svelte index ba15aa1d4..cd5ca34d4 100644 --- a/src/components/connection-prompt/usb/DoneDownloadingDialog.svelte +++ b/src/components/connection-prompt/usb/DoneDownloadingDialog.svelte @@ -5,7 +5,7 @@ --> -
+
diff --git a/src/components/control-bar/control-bar-items/ContactUsControlBarButton.svelte b/src/components/control-bar/control-bar-items/ContactUsControlBarButton.svelte index 39fbc7f07..837436ed6 100644 --- a/src/components/control-bar/control-bar-items/ContactUsControlBarButton.svelte +++ b/src/components/control-bar/control-bar-items/ContactUsControlBarButton.svelte @@ -6,8 +6,8 @@ diff --git a/src/components/control-bar/control-bar-items/SelectLanguageControlBarDropdown.svelte b/src/components/control-bar/control-bar-items/SelectLanguageControlBarDropdown.svelte index c26cd8f15..ff72db45d 100644 --- a/src/components/control-bar/control-bar-items/SelectLanguageControlBarDropdown.svelte +++ b/src/components/control-bar/control-bar-items/SelectLanguageControlBarDropdown.svelte @@ -5,11 +5,11 @@ --> diff --git a/src/components/cookie-bannner/CookieBanner.svelte b/src/components/cookie-bannner/CookieBanner.svelte index e21a108cc..e549dd510 100644 --- a/src/components/cookie-bannner/CookieBanner.svelte +++ b/src/components/cookie-bannner/CookieBanner.svelte @@ -7,12 +7,13 @@ - - {$t('content.data.controlbar.button.clearData')} - -
- - {$t('content.data.controlbar.button.downloadData')} - -
- - {$t('content.data.controlbar.button.uploadData')} - + + {$t('content.data.controlbar.button.clearData')} + +
+ + {$t('content.data.controlbar.button.downloadData')} + +
+ + {$t('content.data.controlbar.button.uploadData')} + diff --git a/src/components/filters/FilterList.ts b/src/components/filters/FilterList.ts new file mode 100644 index 000000000..35501f6b5 --- /dev/null +++ b/src/components/filters/FilterList.ts @@ -0,0 +1,21 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { writable } from 'svelte/store'; +import { FilterType } from '../../script/domain/FilterTypes'; +import { stores } from '../../script/stores/Stores'; + +export const toggleFilterCheckmarkClickHandler = + (filterType: FilterType) => (e: MouseEvent) => { + e.preventDefault(); + const selectedFilters = stores.getClassifier().getFilters(); + selectedFilters.has(filterType) + ? selectedFilters.remove(filterType) + : selectedFilters.add(filterType); + }; + +export const highlightedFilter = writable(FilterType.MAX); +export const showHighlighted = writable(false); +export const anchorElement = writable(null); diff --git a/src/components/filters/FilterListFilterPreview.svelte b/src/components/filters/FilterListFilterPreview.svelte new file mode 100644 index 000000000..64573e806 --- /dev/null +++ b/src/components/filters/FilterListFilterPreview.svelte @@ -0,0 +1,27 @@ + + + +{#if $showHighlighted} +
+
+

{filter.getName()}

+

{filter.getDescription()}

+
+ +
+{/if} diff --git a/src/components/filters/FilterListRow.svelte b/src/components/filters/FilterListRow.svelte new file mode 100644 index 000000000..f584c4939 --- /dev/null +++ b/src/components/filters/FilterListRow.svelte @@ -0,0 +1,60 @@ + + + +{#key `filter-${filterType}-${checked}`} +
+
+
+ + +
+
+ { + highlightedFilter.set(filterType); + showHighlighted.set(true); + }} + on:mouseleave={() => { + showHighlighted.set(false); + }} + on:click={() => { + navigate(Paths.FILTERS); + showHighlighted.set(false); + highlightedFilter.set(filterType); + }} + src="imgs/parallel.svg" + alt="data representation icon" + class="w-6 hover:opacity-60 mr-0.5 cursor-pointer" /> +
+
+
+{/key} diff --git a/src/components/filters/FiltersList.svelte b/src/components/filters/FiltersList.svelte new file mode 100644 index 000000000..dcd61a31d --- /dev/null +++ b/src/components/filters/FiltersList.svelte @@ -0,0 +1,23 @@ + + + +
+ {#each availableFilters as filterType} + + {/each} +
diff --git a/src/components/graphs/DimensionLabels.svelte b/src/components/graphs/DimensionLabels.svelte index 0b578d36e..17b507def 100644 --- a/src/components/graphs/DimensionLabels.svelte +++ b/src/components/graphs/DimensionLabels.svelte @@ -14,14 +14,34 @@ -{#if $state.isInputConnected} +{#if !hidden}
- {#each labels as dimension} + {#each labels as label}
+ style="bottom: {label.arrowHeight}px; border-right-color: {label.color};" />

- {dimension.label} + style="bottom: {label.textHeight}px; color: {label.color};"> + {label.label}

{/each}
diff --git a/src/components/graphs/LiveGraph.svelte b/src/components/graphs/LiveGraph.svelte index 7484ef2c5..af49f92c7 100644 --- a/src/components/graphs/LiveGraph.svelte +++ b/src/components/graphs/LiveGraph.svelte @@ -6,28 +6,59 @@
- + {#key cnt} +
diff --git a/src/components/graphs/LossGraph.svelte b/src/components/graphs/LossGraph.svelte new file mode 100644 index 000000000..af50b5b64 --- /dev/null +++ b/src/components/graphs/LossGraph.svelte @@ -0,0 +1,139 @@ + + + + +
+ +
diff --git a/src/components/graphs/MicrobitLiveGraph.svelte b/src/components/graphs/MicrobitLiveGraph.svelte new file mode 100644 index 000000000..e6832c49e --- /dev/null +++ b/src/components/graphs/MicrobitLiveGraph.svelte @@ -0,0 +1,38 @@ + + + + +{#if showhighlit} + {#key highlightedVectorIndex} + + {/key} +{:else} + +{/if} diff --git a/src/components/graphs/knngraph/AxesFilterVector.ts b/src/components/graphs/knngraph/AxesFilterVector.ts new file mode 100644 index 000000000..c0c9d0eac --- /dev/null +++ b/src/components/graphs/knngraph/AxesFilterVector.ts @@ -0,0 +1,9 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { IArrow } from 'arrows-svg'; +import { writable } from 'svelte/store'; + +export const vectorArrows = writable([]); diff --git a/src/components/graphs/knngraph/AxesFilterVectorView.svelte b/src/components/graphs/knngraph/AxesFilterVectorView.svelte new file mode 100644 index 000000000..9bbc8a28b --- /dev/null +++ b/src/components/graphs/knngraph/AxesFilterVectorView.svelte @@ -0,0 +1,183 @@ + + + + +
+
+ {#if $highlightedAxis} +
+
+
+ ($highlightedAxis = Axes.X)}>X +
+
+ ($highlightedAxis = Axes.Y)}>Y +
+
+ ($highlightedAxis = Axes.Z)}>Z +
+
+
+ {#each $filters as filter, index} +

{filter.getName()}

+ {/each} +
+
+ {#each $filters as _} + right arrow icon + {/each} +
+
+ {#each liveFilteredAxesData as val, index} +

+ {val.toFixed(3)} +

+ {/each} +
+
+ {/if} +
+
diff --git a/src/components/graphs/knngraph/KNNModelGraphController.ts b/src/components/graphs/knngraph/KNNModelGraphController.ts new file mode 100644 index 000000000..60a62583f --- /dev/null +++ b/src/components/graphs/knngraph/KNNModelGraphController.ts @@ -0,0 +1,281 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { TrainingData } from '../../../script/domain/ModelTrainer'; +import { Writable, derived, get, writable } from 'svelte/store'; +import KNNModelGraphDrawer, { GraphDrawConfig } from './KNNModelGraphDrawer'; +import { + MicrobitAccelerometerData, + MicrobitAccelerometerDataVector, +} from '../../../script/livedata/MicrobitAccelerometerData'; +import { TimestampedData } from '../../../script/domain/LiveDataBuffer'; +import Axes from '../../../script/domain/Axes'; +import Filters from '../../../script/domain/Filters'; +import { Point3D } from '../../../script/utils/graphUtils'; +import StaticConfiguration from '../../../StaticConfiguration'; +import { stores } from '../../../script/stores/Stores'; +import { FilterType } from '../../../script/domain/FilterTypes'; + +type SampleData = { + value: number[]; +}; + +type UpdateCall = { + config: GraphDrawConfig; + data: TimestampedData[]; +}; + +/** + * Controller for the KNNModelGraph. Handles the interaction between the graph and the user. + * + * Generally the controller will be instantiated, whenever the model is retrained or the user navigates to the KNNModelGraph. + */ +class KNNModelGraphController { + private rotationX: Writable; + private rotationY: Writable; + private rotationZ: Writable; + private graphColors: string[]; + private origin: Writable<{ x: number; y: number }>; + private scale: Writable; + private graphDrawer: KNNModelGraphDrawer; + private trainingData: Point3D[][][]; + private filters: Filters; + private drawInterval; + private redrawTrainingData = false; // Only draw training data when rotation/scale/origin changes + private unsubscriber; + private liveDataRecordsSize = 3; + private liveDataRecords: TimestampedData[][] = []; // Used to 'smoothe' live data point. Expected to contain a few points(liveDataRecordsSize), and points are replaced at each update + + public constructor( + svg: d3.Selection, + private trainingDataGetter: () => TrainingData, + origin: { x: number; y: number }, + classId: string, + colors: string[], + axis?: Axes, + ) { + this.filters = stores.getClassifier().getFilters(); + this.trainingData = this.trainingDataToPoints(); + this.graphDrawer = new KNNModelGraphDrawer(svg, classId); + this.rotationX = writable(3); + this.rotationY = writable(0.5); + this.rotationZ = writable(0); + this.scale = writable(this.getDefaultScale()); + this.origin = writable(origin); + this.graphColors = colors; + + const noOfPoints = this.trainingData + .map(el => el.length) + .reduce((prev, cur) => prev + cur); + const updateRate = 50 + noOfPoints / 2; + + // To avoid redrawing data, only flag the training data to be drawn if any of these stores are altered + this.unsubscriber = derived( + [this.rotationX, this.rotationY, this.rotationZ, this.scale, this.origin], + () => ({}), // We don't need to use the values to anything. We just do this instead of subscribing to each store individually + ).subscribe(() => (this.redrawTrainingData = true)); + + this.drawInterval = setInterval(() => { + const controllerData = this.getControllerData(); + this.onUpdate(controllerData, axis); + }, updateRate); + } + + public setOrigin(x: number, y: number) { + this.origin.set({ x, y }); + } + + public addRotation(rotation: Point3D) { + this.rotationX.update(oldRot => { + return oldRot + rotation.x; + }); + this.rotationY.update(oldRot => { + return oldRot + rotation.y; + }); + this.rotationZ.update(oldRot => { + return oldRot + rotation.z; + }); + } + + private getDefaultScale() { + // TODO: This is a hack to make the data fit inside the graph. The proper solution is to calculate the scale based on the data + return this.filters.has(FilterType.ACC) || this.filters.has(FilterType.PEAKS) + ? 18 + : 100; + } + + public multiplyScale(amount: number) { + this.scale.update(newScale => newScale * amount); + } + + public destroy() { + clearTimeout(this.drawInterval); + this.unsubscriber(); + } + + private trainingDataToPoints(): Point3D[][][] { + const data = this.trainingDataGetter(); + return data.classes.map(clazz => this.classToPoints(clazz)); + } + + private classToPoints(clazz: { samples: SampleData[] }): Point3D[][] { + return clazz.samples.map(sample => this.sampleToPoints(sample)); + } + + private sampleToPoints(sample: SampleData): Point3D[] { + return [this.arrayToPoint(sample.value)]; + } + + private getControllerData(): { + config: GraphDrawConfig; + data: TimestampedData[]; + } { + const classifier = stores.getClassifier(); + const xRot = get(this.rotationX); + const yRot = get(this.rotationY); + const zRot = get(this.rotationZ); + const scale = get(this.scale); + const origin = get(this.origin); + let liveData: TimestampedData[] = []; + + try { + const sampleDuration = StaticConfiguration.pollingPredictionSampleDuration; + const sampleSize = StaticConfiguration.pollingPredictionSampleSize; + liveData = get(stores) + .liveData.getBuffer() + .getSeries(sampleDuration, sampleSize) + .map(el => { + if (el.value.getSize() != 3) { + throw new Error("Couldn't convert vector to accelerometer data vector"); + } + return { + ...el, + value: new MicrobitAccelerometerDataVector({ + x: el.value.getVector()[0], + y: el.value.getVector()[1], + z: el.value.getVector()[2], + }), + }; + }); + this.liveDataRecords.push(liveData); + if (this.liveDataRecords.length > this.liveDataRecordsSize) { + this.liveDataRecords.shift(); + } + liveData = this.calculateLiveDataRecordsAverage(); + } catch (error) { + liveData = []; + } + // Given as input to the draw function + return { + config: { + xRot: classifier.getFilters().count() === 3 ? xRot : Math.PI, + yRot: classifier.getFilters().count() === 3 ? yRot : 0, + zRot, + origin, + scale, + colors: this.graphColors, + }, + data: liveData, + }; + } + + private calculateLiveDataRecordsAverage(): TimestampedData[] { + const noOfRecords = this.liveDataRecords.length; + const vals = this.liveDataRecords.map(e => e.map(e => e.value)); + const samples1 = vals[0]; + const samples2 = vals[1]; + const samples3 = vals[2]; + + const combined = samples1.map((sample, index) => + this.divAccelData( + this.sumAccelData([sample, samples2[index], samples3[index]]), + noOfRecords, + ), + ); + + return combined.map(e => ({ + timestamp: 0, // ignored + value: new MicrobitAccelerometerDataVector(e), + })); + } + + private divAccelData( + data: MicrobitAccelerometerData, + div: number, + ): MicrobitAccelerometerData { + if (div === 0) { + throw new Error('Cannot divide by 0'); + } + + return { + x: data.x / div, + y: data.y / div, + z: data.z / div, + }; + } + + private sumAccelData( + data: MicrobitAccelerometerDataVector[], + ): MicrobitAccelerometerData { + const sum = (nums: number[]): number => nums.reduce((pre, cur) => cur + pre, 0); + + return { + x: sum(data.map(e => e.getVector()[0])), + y: sum(data.map(e => e.getVector()[1])), + z: sum(data.map(e => e.getVector()[2])), + }; + } + + // Called whenever any subscribed store is altered + private onUpdate(draw: UpdateCall, axis?: Axes) { + let data: TimestampedData[] = draw.data; + + const getLiveFilteredData = () => { + switch (axis) { + case Axes.X: + return this.filters.compute(data.map(d => d.value.getAccelerometerData().x)); + case Axes.Y: + return this.filters.compute(data.map(d => d.value.getAccelerometerData().y)); + case Axes.Z: + return this.filters.compute(data.map(d => d.value.getAccelerometerData().z)); + default: + throw new Error("Shouldn't happen"); + } + }; + + try { + // Some filters throw when no filters data is available + const liveData = getLiveFilteredData(); + this.graphDrawer.drawLiveData(draw.config, this.arrayToPoint(liveData)); + } catch (_ignored) {} + + if (this.redrawTrainingData) { + const drawData: Point3D[][][] = [...this.trainingData]; + this.redrawTrainingData = false; + this.graphDrawer.draw(draw.config, drawData); + } + } + + private arrayToPoint(numsIn: number[]): Point3D { + const nums = [...numsIn]; + if (this.filters.count() === 2) { + nums[2] = 0; // Set z-value to 0 + } + + let [x, y, z] = nums; //this.normalizeVector(nums); + + return { x, y, z }; + } + + private normalizeVector(nums: number[]): number[] { + const magnitude = Math.sqrt(nums.reduce((prev, cur) => prev + Math.pow(cur, 2), 0)); + if (magnitude === 0) { + throw new Error('Cannot normalize vector, magnitude is 0!'); + } + return nums.map(el => el / magnitude); + } +} +export const controller = writable(undefined); +export default KNNModelGraphController; diff --git a/src/components/graphs/knngraph/KNNModelGraphDrawer.ts b/src/components/graphs/knngraph/KNNModelGraphDrawer.ts new file mode 100644 index 000000000..3c91d3ab7 --- /dev/null +++ b/src/components/graphs/knngraph/KNNModelGraphDrawer.ts @@ -0,0 +1,350 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { gridPlanes3D, points3D, lines3D } from 'd3-3d'; +import StaticConfiguration from '../../../StaticConfiguration'; +import { knnHighlightedPoint } from './KnnPointToolTip'; +import { + Point3D, + Point3DTransformed, + distanceBetween, +} from '../../../script/utils/graphUtils'; +import { stores } from '../../../script/stores/Stores'; +import { state } from '../../../script/stores/uiStore'; +import { get } from 'svelte/store'; +import { knnConfig } from '../../../script/stores/knnConfig'; + +export type GraphDrawConfig = { + xRot: number; + yRot: number; + zRot: number; + origin: { x: number; y: number }; + scale: number; + colors: string[]; // The number of colors should be equal to the number of classes plus one for live data +}; + +export type GrahpDrawData = { + points: Point3D[]; +}; + +export type DrawablePoint = { + pointTransformed: Point3DTransformed; + color: string; + id: string; +}; + +class KNNModelGraphDrawer { + private drawnTrainingPoints: Point3DTransformed[] = []; + + constructor( + private svg: d3.Selection, + private classId: string, + ) {} + + public drawLiveData = (drawConfig: GraphDrawConfig, drawData: Point3D) => { + if (isNaN(drawData.y)) { + return; + } + const pointTransformer = this.getPointTransformer(drawConfig); + const color = drawConfig.colors.slice(-1)[0]; // Fetch the last element of the colors array + if (!color) { + throw new Error('No color available for live data'); + } + const drawableLivePoint: DrawablePoint = { + pointTransformed: pointTransformer(drawData), + color, + id: `live`, + }; + if (isNaN(drawableLivePoint.pointTransformed.projected.x)) { + return; // May happen if the model has just been trained. + } + + if (get(state).isInputReady) { + this.addPoint(drawableLivePoint, 'live'); + + // Draw lines from live point to the nearest neighbours + const predictedPoints = [...this.drawnTrainingPoints] + .sort((a, b) => { + const aDist = distanceBetween(drawableLivePoint.pointTransformed, a); + const bDist = distanceBetween(drawableLivePoint.pointTransformed, b); + return aDist - bDist; + }) + .slice(0, get(knnConfig).k); + + const lines = this.svg.selectAll(`line.points-class`).data(predictedPoints); + lines + .enter() + .append('line') + // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // @ts-ignore + .merge(lines) + .attr('x1', d => drawableLivePoint.pointTransformed.projected.x) + .attr('y1', d => drawableLivePoint.pointTransformed.projected.y) + .attr('x2', d => d.projected.x) + .attr('y2', d => d.projected.y) + .attr('class', `${this.classId} points-class`) + .attr('stroke', '#1a1a1a'); + lines.exit().remove(); + } + }; + + public draw(drawConfig: GraphDrawConfig, drawData: Point3D[][][]) { + // this.svg.selectAll('*').remove(); // clear svg for redraw + // Add grid + this.addGrid(drawConfig); + + // Add axes + this.addAxis( + { x: 1, y: 0, z: 0 }, + 'xScale', + drawConfig, + StaticConfiguration.liveGraphColors[0], + ); + this.addAxis( + { x: 0, y: 1, z: 0 }, + 'yScale', + drawConfig, + StaticConfiguration.liveGraphColors[1], + ); + if (stores.getClassifier().getFilters().count() === 3) { + // 3d, draw z-axis (forward/backward) + this.addAxis( + { x: 0, y: 0, z: 1 }, + 'zScale', + drawConfig, + StaticConfiguration.liveGraphColors[2], + ); + } + const drawablePoints: DrawablePoint[] = []; + + const pointTransformer = this.getPointTransformer(drawConfig); + + // Add points + drawData.forEach((clazz, classIndex) => { + clazz.forEach((sample, exampleIndex) => { + sample.forEach((axisValue, axisIndex) => { + const color = drawConfig.colors[classIndex]; + const transformedPoint: Point3DTransformed = pointTransformer(axisValue); + this.drawnTrainingPoints.push(transformedPoint); + drawablePoints.push({ + pointTransformed: transformedPoint, + color, + id: `${classIndex}-${exampleIndex}-${axisIndex}`, + }); + }); + }); + }); + this.addPoints(drawablePoints, drawConfig); + } + + /** + * Adds an array of points to the svg + */ + private addPoints(points: DrawablePoint[], drawConfig: GraphDrawConfig) { + const gPoints = this.svg.selectAll(`circle.points-class`).data(points); + gPoints + .enter() + .append('circle') + // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // @ts-ignore + .merge(gPoints) + .attr('class', `${this.classId} points-class`) + .attr('fill', el => el.color) + .attr('stroke', '#1a1a1a') + .attr('cx', d => + isNaN(d.pointTransformed.projected.x) ? 0 : d.pointTransformed.projected.x, + ) + .attr('cy', d => + isNaN(d.pointTransformed.projected.y) ? 0 : d.pointTransformed.projected.y, + ) + .attr('r', 3) + .on('mouseenter', (event, projectedPoint) => { + knnHighlightedPoint.set(projectedPoint); + }) + .on('mouseleave', () => { + knnHighlightedPoint.set(undefined); + }); + gPoints.exit().remove(); + } + + /** + * Adds a single 3D point projected onto the svg. + */ + private addPoint(point: DrawablePoint, key: string) { + const radius = 3; + + this.svg.select(`circle.points-class-${key}`).remove(); + const samplePoint = this.svg.selectAll(`circle.points-class-`).data([point]); + samplePoint + .enter() + .append('circle') + // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // @ts-ignore + .merge(samplePoint) + .attr('class', `${this.classId} points-class-${key}`) + .attr('fill', p => p.color) + .attr('stroke', '#1a1a1a') + .attr('cx', d => + isNaN(d.pointTransformed.projected.x) ? 0 : d.pointTransformed.projected.x, + ) + .attr('cy', d => + isNaN(d.pointTransformed.projected.y) ? 0 : d.pointTransformed.projected.y, + ) + .attr('r', radius) + .on('mouseenter', (event, projectedPoint) => { + knnHighlightedPoint.set(projectedPoint); + }) + .on('mouseleave', () => { + knnHighlightedPoint.set(undefined); + }); + samplePoint.exit().remove(); + } + + private addAxis( + direction: Point3D, + className: string, + drawConfig: GraphDrawConfig, + color: string, + ) { + const lineLength = 20; + const point1: Point3D = { + x: (-direction.x * lineLength) / 2, + y: (-direction.y * lineLength) / 2, + z: (-direction.z * lineLength) / 2, + }; + + const point2: Point3D = { + x: (direction.x * (lineLength - 2)) / 2, + y: (direction.y * (lineLength - 2)) / 2, + z: (direction.z * (lineLength - 2)) / 2, + }; + + const lineTranformer = this.getLineTransformer(drawConfig); + const lineProjected: Point3DTransformed[] = lineTranformer([[point1, point2]]).points; + const axis = this.svg.selectAll('line.' + className).data([lineProjected]); + axis + .enter() + .append('line') + // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // @ts-ignore + .merge(axis) + .attr('class', `${this.classId} ` + className) + .attr('x1', (data: Point3DTransformed[]) => data[0].projected.x) + .attr('y1', (data: Point3DTransformed[]) => data[0].projected.y) + .attr('x2', (data: Point3DTransformed[]) => data[1].projected.x) + .attr('y2', (data: Point3DTransformed[]) => data[1].projected.y) + .attr('stroke', color) + .attr('stroke-width', 1); + + axis.exit().remove(); + } + + /** + * Returns the label by using index to find element in list of gestures + */ + private getLabel(dataIndex: number) { + try { + const gestureList = stores.getGestures().getGestures(); + return gestureList[dataIndex].getName(); + } catch (error) { + // Index out of bounds indicates either an error or live data. + return 'Live'; + } + } + + private addGrid(drawConfig: GraphDrawConfig) { + // eslint-disable-next-line @typescript-eslint/no-unsafe-call, @typescript-eslint/no-unsafe-assignment + const grid3d = this.getGridTransformer(drawConfig); + const xGrid = []; + const j = 30; + for (let z = -j; z < j; z++) { + for (let x = -j; x < j; x++) { + if (stores.getClassifier().getFilters().count() === 2) { + xGrid.push({ x: x, y: z, z: 0 }); // Draw grid vertically (2d) + } else { + xGrid.push({ x: x, y: 0, z: z }); // Draw grid horizontally (3d) + } + } + } + // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment, @typescript-eslint/no-unsafe-call + const gridData = grid3d(xGrid); + + // eslint-disable-next-line @typescript-eslint/no-unsafe-argument, @typescript-eslint/no-unsafe-return, @typescript-eslint/no-unsafe-member-access + const grid = this.svg.selectAll('path.grid').data(gridData, (d: any) => d.id); + + grid + .enter() + .append('path') + .lower() + .attr('class', `${this.classId} grid`) + // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // @ts-ignore + .merge(grid) + .attr('stroke', 'black') + .attr('stroke-width', 0.3) + .attr('fill', d => '#eee') + .attr('fill-opacity', 0.9) + // eslint-disable-next-line @typescript-eslint/no-unsafe-argument, @typescript-eslint/no-unsafe-member-access + .attr('d', grid3d.draw); + + grid.exit().remove(); + } + + private getPointTransformer( + drawConfig: GraphDrawConfig, + ): (point: Point3D) => Point3DTransformed & { centroid: Point3D } { + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-return + return (_point: Point3D) => + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-return + this.getBaseTransformer( + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-call + points3D(), + drawConfig, + )([_point as unknown as Point3D[]])[0]; + } + + private getLineTransformer( + drawConfig: GraphDrawConfig, + ): (point: Point3D[][]) => { centroid: Point3D; points: Point3DTransformed[] } { + return (points: Point3D[][]) => { + // eslint-disable-next-line @typescript-eslint/no-unsafe-call, @typescript-eslint/no-unsafe-assignment, @typescript-eslint/no-unsafe-member-access + const transformed = this.getBaseTransformer(lines3D(), drawConfig)(points)[0]; + // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment, @typescript-eslint/no-unsafe-member-access + const { centroid, ...transformedPoints } = transformed; + return { + // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment + centroid, + // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment + points: transformedPoints, + }; + }; + } + + private getGridTransformer(drawConfig: GraphDrawConfig) { + // eslint-disable-next-line @typescript-eslint/no-unsafe-return, @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-call + return gridPlanes3D() + .rows(60) + .rotateX(drawConfig.xRot) + .rotateY(drawConfig.yRot) + .rotateZ(drawConfig.zRot) + .origin(drawConfig.origin) + .scale(drawConfig.scale); + } + + private getBaseTransformer( + transformer: any, + drawConfig: GraphDrawConfig, + ): (point: Point3D[][]) => any { + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-call + return transformer + .rotateX(drawConfig.xRot) + .rotateY(drawConfig.yRot) + .rotateZ(drawConfig.zRot) + .origin(drawConfig.origin) + .scale(drawConfig.scale) as (point: Point3D[][]) => any; + } +} + +export default KNNModelGraphDrawer; diff --git a/src/components/graphs/knngraph/KnnModelGraph.svelte b/src/components/graphs/knngraph/KnnModelGraph.svelte new file mode 100644 index 000000000..cf60d3d4e --- /dev/null +++ b/src/components/graphs/knngraph/KnnModelGraph.svelte @@ -0,0 +1,106 @@ + + + +
+
diff --git a/src/components/graphs/knngraph/KnnModelGraphSvgWithControls.svelte b/src/components/graphs/knngraph/KnnModelGraphSvgWithControls.svelte new file mode 100644 index 000000000..d2e08e11c --- /dev/null +++ b/src/components/graphs/knngraph/KnnModelGraphSvgWithControls.svelte @@ -0,0 +1,84 @@ + + + +
+
+ + +
+ +
diff --git a/src/components/graphs/knngraph/KnnPointToolTip.ts b/src/components/graphs/knngraph/KnnPointToolTip.ts new file mode 100644 index 000000000..5b2eae433 --- /dev/null +++ b/src/components/graphs/knngraph/KnnPointToolTip.ts @@ -0,0 +1,9 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { writable } from 'svelte/store'; +import { DrawablePoint } from './KNNModelGraphDrawer'; + +export const knnHighlightedPoint = writable(undefined); diff --git a/src/components/graphs/knngraph/KnnPointToolTipView.svelte b/src/components/graphs/knngraph/KnnPointToolTipView.svelte new file mode 100644 index 000000000..8ca583ef8 --- /dev/null +++ b/src/components/graphs/knngraph/KnnPointToolTipView.svelte @@ -0,0 +1,44 @@ + + + + +
knnHighlightedPoint.set(undefined)} + class:hidden={$knnHighlightedPoint === undefined} + class="absolute bg-white py-1 px-1 border-solid border-2 rounded font-bold" + style={`top:${position.y}px; left:${position.x}px;border-color:${borderColor}`}> + {#each content.values as val, index} + {#if val} +

+ {val?.toFixed(2)} +

+ {/if} + {/each} +
diff --git a/src/components/information/Information.svelte b/src/components/information/Information.svelte index 810a3236f..00f9822a3 100644 --- a/src/components/information/Information.svelte +++ b/src/components/information/Information.svelte @@ -11,9 +11,7 @@ export let boxOffset: { x: number; y: number } = { x: 0, y: 0 }; export let width = 300; export let isLightTheme = true; - // TODO: This makes the component a weird combination of a general component which can handle all kinds of - // children, and a component specialised for text. In my opinion (Jon) this should be split up into one general - // and one for text (which uses the general one) + export let iconText: string | undefined = undefined; export let titleText: string | undefined = undefined; export let bodyText: string | undefined = undefined; diff --git a/src/components/output/OutputGesture.svelte b/src/components/output/OutputGesture.svelte index 9a770facc..e7edc87d6 100644 --- a/src/components/output/OutputGesture.svelte +++ b/src/components/output/OutputGesture.svelte @@ -5,9 +5,9 @@ -->
+
+
// IMPORT AND DEFAULTS - import { type GestureData } from '../../script/stores/mlStore'; import { t } from '../../i18n'; + import Gesture from '../../script/domain/stores/gesture/Gesture'; import GestureTilePart from '../GestureTilePart.svelte'; import Information from '../information/Information.svelte'; - import { Writable } from 'svelte/store'; - import Gesture from '../../script/stores/Gesture'; // Variables for component export let gesture: Gesture; @@ -32,6 +31,10 @@ $: active = $gesture.confidence.currentConfidence > $gesture.confidence.requiredConfidence; + + const noTypeCheckNonStandardOrientProp = (orient?: 'vertical' | 'horizontal'): any => ({ + orient, + }); @@ -48,7 +51,7 @@ diff --git a/src/components/output/PinSelector.svelte b/src/components/output/PinSelector.svelte index 78338c7c0..7487add91 100644 --- a/src/components/output/PinSelector.svelte +++ b/src/components/output/PinSelector.svelte @@ -8,9 +8,8 @@ import GestureTilePart from './../GestureTilePart.svelte'; import StaticConfiguration from '../../StaticConfiguration'; import { PinTurnOnState } from './PinSelectorUtil'; - import { t } from '../../i18n.js'; - import MBSpecs from '../../script/microbit-interfacing/MBSpecs.js'; - import { currentData } from '../../script/stores/mlStore'; + import { t } from '../../i18n'; + import MBSpecs from '../../script/microbit-interfacing/MBSpecs'; export let onPinSelect: (pin: MBSpecs.UsableIOPin) => void; export let onTurnOnTimeSelect: (turnOnArgs: { turnOnState: PinTurnOnState; diff --git a/src/components/playground/EngineInteractionButtons.svelte b/src/components/playground/EngineInteractionButtons.svelte new file mode 100644 index 000000000..41b86fb5d --- /dev/null +++ b/src/components/playground/EngineInteractionButtons.svelte @@ -0,0 +1,54 @@ + + + + + + + + diff --git a/src/components/playground/LiveDataBufferUtilizationPercentage.svelte b/src/components/playground/LiveDataBufferUtilizationPercentage.svelte new file mode 100644 index 000000000..21cba9f05 --- /dev/null +++ b/src/components/playground/LiveDataBufferUtilizationPercentage.svelte @@ -0,0 +1,21 @@ + + + + +

Buffer utilization = {utilization * 100}%

+

+ Buffer utilization should be about 20-50%. Too high means performance spikes may cause + the buffer to lack sufficient data to classify. Too low means performance is wasted +

diff --git a/src/components/playground/PlaygroundContext.ts b/src/components/playground/PlaygroundContext.ts new file mode 100644 index 000000000..3f88ac664 --- /dev/null +++ b/src/components/playground/PlaygroundContext.ts @@ -0,0 +1,40 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable, Subscriber, Unsubscriber, Writable, writable } from 'svelte/store'; +export type PlaygroundContextData = { + messages: any[]; +}; +class PlaygroundContext implements Readable { + private readonly LOG_LIMIT = 15; + private store: Writable; + constructor() { + this.store = writable({ + messages: [], + }); + } + + public subscribe( + run: Subscriber, + invalidate?: ((value?: PlaygroundContextData | undefined) => void) | undefined, + ): Unsubscriber { + return this.store.subscribe(run, invalidate); + } + + public addMessage(...message: any[]) { + this.store.update(store => { + store.messages.push([message]); + if (store.messages.length > this.LOG_LIMIT) { + store.messages.reverse(); + store.messages.pop(); + store.messages.reverse(); + } + return store; + }); + } +} + +const playgroundContext = new PlaygroundContext(); +export default playgroundContext; diff --git a/src/components/playground/PlaygroundGestureView.svelte b/src/components/playground/PlaygroundGestureView.svelte new file mode 100644 index 000000000..f4221bb25 --- /dev/null +++ b/src/components/playground/PlaygroundGestureView.svelte @@ -0,0 +1,24 @@ + + + + +
+
+

Gesture: {$gesture.name}

+
+

+ {JSON.stringify(reduceData($gesture), null, 2)} +

+
diff --git a/src/components/playground/PlaygroundLog.svelte b/src/components/playground/PlaygroundLog.svelte new file mode 100644 index 000000000..5ed6d9219 --- /dev/null +++ b/src/components/playground/PlaygroundLog.svelte @@ -0,0 +1,17 @@ + + + + +
+ {#each $playgroundContext.messages as message} +

+ > {message.toString()} +

+ {/each} +
diff --git a/src/components/playground/StoresDisplay.svelte b/src/components/playground/StoresDisplay.svelte new file mode 100644 index 000000000..15696716c --- /dev/null +++ b/src/components/playground/StoresDisplay.svelte @@ -0,0 +1,60 @@ + + + +
+
+

Model store

+

+ {JSON.stringify($model, null, 2).substring( + 2, + JSON.stringify($model, null, 2).length - 1, + )} +

+
+
+

Classifier store

+

+ {JSON.stringify($classifier, null, 2).substring( + 2, + JSON.stringify($classifier, null, 2).length - 1, + )} +

+
+
+

Engine store

+

+ {JSON.stringify($engine, null, 2).substring( + 2, + JSON.stringify($engine, null, 2).length - 1, + )} +

+
+
+

LiveData store

+

+ {JSON.stringify($liveDataStore, null, 2).substring( + 2, + JSON.stringify($liveDataStore, null, 2).length - 1, + )} +

+
+
+

Gestures (without recordings/output)

+ {#each $gestures as { ID }} + + {/each} +
+
diff --git a/src/components/playground/TrainKNNModelButton.svelte b/src/components/playground/TrainKNNModelButton.svelte new file mode 100644 index 000000000..b10e767d0 --- /dev/null +++ b/src/components/playground/TrainKNNModelButton.svelte @@ -0,0 +1,26 @@ + + + + diff --git a/src/components/playground/TrainLayersModelButton.svelte b/src/components/playground/TrainLayersModelButton.svelte new file mode 100644 index 000000000..bbd2ae7b6 --- /dev/null +++ b/src/components/playground/TrainLayersModelButton.svelte @@ -0,0 +1,29 @@ + + + + diff --git a/src/components/playground/inputSynthesizer/IntervalSlider.svelte b/src/components/playground/inputSynthesizer/IntervalSlider.svelte new file mode 100644 index 000000000..c2bdd9c35 --- /dev/null +++ b/src/components/playground/inputSynthesizer/IntervalSlider.svelte @@ -0,0 +1,21 @@ + + + + +

Synthesis interval ({$liveDataSynthesizer.intervalSpeed}), lower is faster

+ setIntervalValue(e.detail.value)} /> diff --git a/src/components/playground/inputSynthesizer/LiveDataSynthesizer.svelte b/src/components/playground/inputSynthesizer/LiveDataSynthesizer.svelte new file mode 100644 index 000000000..c1019a6f1 --- /dev/null +++ b/src/components/playground/inputSynthesizer/LiveDataSynthesizer.svelte @@ -0,0 +1,36 @@ + + + + +
+

Live data synthesizer

+ +

Uses sine-waves to produce LiveData

+
+ + + +
+ {#key keycnt} + + {/key} +

{JSON.stringify($liveDataSynthesizer, null, 2)}

+
diff --git a/src/components/playground/inputSynthesizer/LiveDataSynthesizer.ts b/src/components/playground/inputSynthesizer/LiveDataSynthesizer.ts new file mode 100644 index 000000000..d779bf821 --- /dev/null +++ b/src/components/playground/inputSynthesizer/LiveDataSynthesizer.ts @@ -0,0 +1,163 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { + Readable, + Subscriber, + Unsubscriber, + Writable, + get, + writable, +} from 'svelte/store'; +import { stores } from '../../../script/stores/Stores'; +import { SyntheticLiveData } from './SyntheticLiveData '; +import BaseVector from '../../../script/livedata/BaseVector'; + +type LiveDataSynthesizerOptions = { + intervalSpeed: number; + speeds: number[]; + isActive: boolean; + noOfAxes: number; +}; +const letters = [ + 'A', + 'B', + 'C', + 'D', + 'E', + 'F', + 'G', + 'H', + 'I', + 'J', + 'L', + 'M', + 'N', + 'O', + 'P', +]; + +class LiveDataSynthesizer implements Readable { + private interval: NodeJS.Timeout | undefined = undefined; + private store: Writable; + private referenceStoreGetter: () => SyntheticLiveData; + + constructor() { + this.store = writable({ + intervalSpeed: this.getInitialIntervalValue(), + speeds: [this.getInitialSineSpeed()], + isActive: false, + noOfAxes: 1, + } as LiveDataSynthesizerOptions); + stores.setLiveData(new SyntheticLiveData([letters[0]])); + this.referenceStoreGetter = () => get(stores).liveData as SyntheticLiveData; + } + + public subscribe( + run: Subscriber, + invalidate?: ((value?: LiveDataSynthesizerOptions | undefined) => void) | undefined, + ): Unsubscriber { + return this.store.subscribe(run, invalidate); + } + + public updateInterval() { + if (this.interval) { + clearInterval(this.interval); + } + this.interval = setInterval(() => { + this.generateData(); + }, get(this.store).intervalSpeed); + } + + public getMinIntervalValue() { + return 5; + } + + public getMaxIntervalValue() { + return 300; + } + + public getInitialIntervalValue() { + return this.getMinIntervalValue(); + } + + public getInitialSineSpeed() { + return this.getMinSineSpeed() / 3000; + } + + public getMinSineSpeed() { + return 0.0; + } + + public getMaxSineSpeed() { + return 100; + } + + public setNoOfAxes(axes: number) { + this.store.update(e => { + if (e.noOfAxes !== axes) { + console.log('changed liveDatra'); + stores.setLiveData(new SyntheticLiveData(letters.slice(0, axes))); + } + e.noOfAxes = axes; + if (axes > e.speeds.length) { + e.speeds = [...e.speeds, ...new Array(axes - e.speeds.length).fill(0)]; + } else { + e.speeds = e.speeds.slice(0, axes); + } + return e; + }); + } + + public generateData() { + const val = new Date().getTime(); + + let newVector = new Array(get(this.store).noOfAxes).fill(0); + newVector = newVector.map((x, i) => Math.sin(val * get(this.store).speeds[i])); + const vectorLetters = letters.slice(0, newVector.length); + const newValue = new BaseVector(newVector, vectorLetters); + + this.referenceStoreGetter().put(newValue); + } + + public setSpeed(index: number, speed: number) { + this.store.update(s => { + s.speeds[index] = speed / 3000; + return s; + }); + } + + public setIntervalSpeed(value: number) { + this.store.update(updater => { + updater.intervalSpeed = value; + return updater; + }); + this.updateInterval(); + } + + public stop(): void { + clearInterval(this.interval); + this.store.update(updater => { + updater.isActive = false; + return updater; + }); + } + + public start(): void { + this.updateInterval(); + this.store.update(updater => { + updater.isActive = true; + return updater; + }); + } + + public isActive(): boolean { + return get(this).isActive; + } +} + +const liveDataSynthesizer = new LiveDataSynthesizer(); + +export default liveDataSynthesizer; diff --git a/src/components/playground/inputSynthesizer/NoOfAxesCounter.svelte b/src/components/playground/inputSynthesizer/NoOfAxesCounter.svelte new file mode 100644 index 000000000..bc7be5d7f --- /dev/null +++ b/src/components/playground/inputSynthesizer/NoOfAxesCounter.svelte @@ -0,0 +1,16 @@ + + + +

No of axes ({$liveDataSynthesizer.noOfAxes})

+ setNoOfAxes(e.detail.value)} /> diff --git a/src/components/playground/inputSynthesizer/SpeedSliders.svelte b/src/components/playground/inputSynthesizer/SpeedSliders.svelte new file mode 100644 index 000000000..bc9418c13 --- /dev/null +++ b/src/components/playground/inputSynthesizer/SpeedSliders.svelte @@ -0,0 +1,19 @@ + + + +{#each values as val, index} +

Speed {index}

+ liveDataSynthesizer.setSpeed(index, e.detail.value)} /> +{/each} diff --git a/src/components/playground/inputSynthesizer/SynthesizerGraph.svelte b/src/components/playground/inputSynthesizer/SynthesizerGraph.svelte new file mode 100644 index 000000000..c8747a6c0 --- /dev/null +++ b/src/components/playground/inputSynthesizer/SynthesizerGraph.svelte @@ -0,0 +1,247 @@ + + + + + + +
+ + +
diff --git a/src/components/playground/inputSynthesizer/SynthesizerToggleButton.svelte b/src/components/playground/inputSynthesizer/SynthesizerToggleButton.svelte new file mode 100644 index 000000000..227581b1e --- /dev/null +++ b/src/components/playground/inputSynthesizer/SynthesizerToggleButton.svelte @@ -0,0 +1,24 @@ + + + +
+ +
diff --git a/src/components/playground/inputSynthesizer/SyntheticLiveData .ts b/src/components/playground/inputSynthesizer/SyntheticLiveData .ts new file mode 100644 index 000000000..ac2ca271d --- /dev/null +++ b/src/components/playground/inputSynthesizer/SyntheticLiveData .ts @@ -0,0 +1,44 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { + Subscriber, + Invalidator, + Unsubscriber, + Writable, + writable, + get, +} from 'svelte/store'; +import LiveDataBuffer from '../../../script/domain/LiveDataBuffer'; +import LiveData from '../../../script/domain/stores/LiveData'; +import BaseVector from '../../../script/livedata/BaseVector'; + +export class SyntheticLiveData implements LiveData { + private store: Writable; + private buffer: LiveDataBuffer; + public constructor(labels: string[]) { + this.store = writable(new BaseVector(new Array(labels.length).fill(0), labels)); + this.buffer = new LiveDataBuffer(200); + } + put(data: BaseVector): void { + this.store.set(data); + this.buffer.addValue(data); + } + getBuffer(): LiveDataBuffer { + return this.buffer; + } + getSeriesSize(): number { + return get(this.store).getSize(); + } + getLabels(): string[] { + return get(this.store).getLabels(); + } + subscribe( + run: Subscriber, + invalidate?: Invalidator | undefined, + ): Unsubscriber { + return this.store.subscribe(run, invalidate); + } +} diff --git a/src/exampleDataset.json b/src/exampleDataset.json new file mode 100644 index 000000000..dadd8e717 --- /dev/null +++ b/src/exampleDataset.json @@ -0,0 +1,1027 @@ +[ + { + "ID": 1705437793875, + "name": "Shake", + "color": "#FCA311", + "recordings": [ + { + "ID": 1705437992143, + "data": { + "x": [ + -0.112, -0.356, -0.62, -0.892, -1.508, -1.848, -2.04, -2.04, -1.868, -1.3, + -0.824, -0.48, 0.256, 0.752, 0.864, -0.044, -0.908, -1.716, -2.04, -2.008, + -1.856, -1.336, -0.84, 0.192, 0.58, 0.504, -0.008, -0.232, -1.132, -2.04, + -2.04, -2.04, -1.012, -0.48, 0.028, 0.256, 0.608, 0.332, -0.004, -0.876, + -2.04, -2.04, -2.04, -1.688, -1.396, -0.828, -0.032, 0.36, 0.492, 0.288, + 0.008, -0.492, -1.368, -2.04, -2.04, -1.828, -1.368, -0.668, -0.248, 0.108, + 0.664, 0.544, 0.248, -0.404, -1.388, -2.04, -2.04, -1.86, -1.372, -1.072, + -0.612, 0.16, 0.52, 0.488, 0.256, -0.144, -0.752, -1.732, -2.04, -2.04, + -1.668, -1.208, -0.884, -0.556, 0.024, 0.48, 0.556, 0.248, -0.096, -0.9, + -2.04, -2.04, -1.992 + ], + "y": [ + 0.436, 0.416, 0.308, 0.168, 0.148, -0.056, 0.352, 0.356, 0.3, 0.244, 0.324, + 0.264, 0.16, 0.396, 0.456, 0.208, 0.244, 0.252, 0.312, 0.396, 0.328, 0.364, + 0.204, 0.188, 0.548, 0.536, 0.388, 0.22, 0.052, 0.54, 1.076, -0.116, 0.048, + 0.132, 0.448, 0.528, 0.608, 0.6, 0.412, 0.152, 0.524, 0.416, 0.252, 0.308, + 0.376, 0.316, 0.356, 0.644, 0.672, 0.544, 0.404, 0.164, 0.208, 0.624, 0.536, + 0.256, 0.272, 0.404, 0.492, 0.5, 0.712, 0.656, 0.568, 0.264, 0.296, 0.496, + 0.284, 0.28, 0.288, 0.42, 0.492, 0.488, 0.616, 0.684, 0.588, 0.396, 0.232, + 0.452, 0.98, 0.484, 0.36, 0.372, 0.544, 0.48, 0.496, 0.6, 0.692, 0.528, 0.288, + 0.204, 0.476, 1.112, 0.2 + ], + "z": [ + -0.576, -0.592, -0.516, -0.38, -0.368, 0.208, -0.028, 0.048, 0.008, -0.096, + -0.288, -0.396, -0.516, -0.556, -0.312, -0.056, -0.168, -0.108, 0.196, 0.268, + 0.1, -0.16, -0.32, -0.64, -0.692, -0.56, -0.26, -0.092, -0.204, 0.304, 0.78, + 0.364, 0.108, -0.24, -0.528, -0.608, -0.552, -0.208, -0.048, -0.14, 0.42, + 0.552, 0.42, 0.128, 0.276, -0.332, -0.648, -0.648, -0.544, -0.212, 0.036, + -0.004, -0.148, 0.304, 0.212, 0.344, 0.352, 0.064, -0.572, -0.628, -0.616, + -0.276, -0.008, -0.18, -0.044, 0.012, 0.368, 0.32, 0.372, -0.092, -0.288, + -0.608, -0.712, -0.432, -0.252, -0.024, 0.044, -0.052, 0.4, 0.504, 0.196, + -0.016, -0.172, -0.308, -0.66, -0.72, -0.52, -0.268, -0.072, -0.176, 0.136, + 0.34, 0.7 + ] + } + }, + { + "ID": 1705437989960, + "data": { + "x": [ + -0.4, 0.232, 0.708, 1.068, 1.284, 1.36, 1.02, 0.816, 0.332, -0.152, -1.496, + -2.04, -2.04, -1.14, -0.968, -0.648, 0.232, 1, 1.34, 1.32, 0.864, 0.256, + -0.696, -1.884, -2.04, -2.04, -1.62, -1.028, -0.196, 0.42, 0.608, 0.488, + 0.168, -0.528, -1.488, -2.028, -2.04, -2.04, -1.588, -1.08, -0.512, -0.028, + 0.216, 0.268, 0.052, -0.38, -0.684, -0.788, -1.056, -1.768, -2.04, -2.04, + -1.344, -0.8, -0.436, -0.172, 0.22, 0.456, -0.124, -0.504, -0.864, -1.14, + -1.544, -2.02, -2.016, -1.52, -1.004, -0.456, -0.156, 0.064, 0.128, -0.204, + -0.46, -0.816, -1.22, -1.596, -1.884, -1.816, -1.44, -0.948, -0.516, -0.196, + 0.06, 0.124, -0.16, -0.504, -0.72, -0.928, -1.42, -1.8, -2.032, -1.76 + ], + "y": [ + 0.592, 0.364, 0.128, -0.004, -0.06, -0.156, -0.04, 0.08, 0.284, 0.456, 0.188, + 1.104, 0.9, 0.6, 0.536, 0.388, 0.34, 0.316, 0.292, 0.32, 0.252, 0.208, 0.152, + 0.3, 0.792, 0.776, 0.748, 0.588, 0.44, 0.372, 0.4, 0.424, 0.376, 0.296, 0.448, + 0.596, 0.644, 0.732, 0.58, 0.496, 0.46, 0.444, 0.568, 0.56, 0.456, 0.408, + 0.38, 0.284, 0.22, 0.352, 0.792, 0.636, 0.452, 0.456, 0.468, 0.392, 0.376, + 0.348, 0.34, 0.396, 0.456, 0.364, 0.432, 0.704, 0.728, 0.584, 0.416, 0.424, + 0.428, 0.432, 0.288, 0.3, 0.368, 0.392, 0.436, 0.512, 0.684, 0.664, 0.556, + 0.496, 0.472, 0.456, 0.444, 0.7, 0.304, 0.36, 0.292, 0.276, 0.328, 0.536, + 0.78, 0.7 + ], + "z": [ + -1.196, -0.908, -0.712, -0.556, -0.44, -0.42, -0.548, -0.512, -0.596, -0.696, + -1.364, -0.26, -0.592, -0.788, -0.876, -0.84, -0.888, -0.948, -0.972, -1.192, + -1.148, -0.808, -0.636, -0.42, 0.076, 0.42, 0.124, -0.224, -0.572, -0.924, + -1.032, -0.972, -0.656, -0.708, -0.492, -0.096, 0.428, 0.548, 0.196, -0.012, + -0.364, -0.744, -0.996, -1.08, -1.448, -1.444, -1.136, -0.652, -0.104, 0.528, + 1.116, 0.88, 0.384, 0.048, -0.348, -0.804, -1.34, -1.604, -1.624, -1.3, -0.7, + -0.116, 0.544, 0.996, 0.784, 0.448, 0.084, -0.468, -0.964, -1.508, -1.86, + -1.5, -1.08, -0.54, 0.112, 0.68, 1.224, 1.028, 0.66, 0.256, -0.24, -0.712, + -1.24, -1.232, -1.604, -1.456, -1.004, -0.428, 0.18, 0.576, 1.292, 0.92 + ] + 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0.164, 0.088, + 0.032, 0.044, 0.04, 0.068, 0.06, 0.016, -0.048, -0.124, -0.208, -0.296, + -0.404, -0.428, -0.4, -0.38, -0.408, -0.512, -0.624, -0.7, -0.712, -0.76, + -0.8, -0.872, -0.88, -0.824, -0.684, -0.6, -0.528, -0.468, -0.384, -0.292, + -0.272, -0.28, -0.3, -0.296, -0.276, -0.3, -0.32, -0.34, -0.372, -0.388, + -0.376, -0.396, -0.412, -0.404, -0.376, -0.38, -0.368, -0.364, -0.396, -0.4, + -0.38, -0.356, -0.32, -0.328 + ] + } + }, + { + "ID": 1705437896254, + "data": { + "x": [ + -0.632, -0.608, -0.592, -0.584, -0.644, -0.868, -0.492, -0.528, -0.712, + -0.784, -0.708, -0.588, -0.632, -0.752, -0.876, -0.852, -0.808, -0.84, -0.944, + -0.936, -0.9, -0.936, -1.02, -1.104, -1.084, -1.076, -1.048, -1.048, -1.112, + -1.144, -1.188, -1.208, -1.228, -1.288, -1.296, -1.264, -1.2, -1.18, -1.132, + -1.02, -0.956, -0.912, -0.872, -0.848, -0.824, -0.876, -0.892, -0.844, -0.808, + -0.732, -0.716, -0.78, -0.852, -0.76, -0.62, -0.588, -0.636, -0.632, -0.564, + -0.52, -0.508, -0.52, -0.484, -0.412, -0.432, -0.428, -0.444, -0.496, -0.48, + -0.452, -0.46, -0.508, -0.516, -0.512, -0.448, -0.4, -0.404, -0.46, -0.532, + -0.568, -0.484, -0.38, -0.444, -0.572, -0.728, -0.728, -0.616, -0.644, -0.656, + -0.704, -0.688, -0.644, -0.652 + ], + "y": [ + 0.364, 0.344, 0.352, 0.38, 0.396, 0.604, 0.4, 0.428, 0.468, 0.48, 0.472, + 0.436, 0.42, 0.408, 0.42, 0.424, 0.38, 0.304, 0.26, 0.244, 0.244, 0.232, + 0.184, 0.176, 0.112, 0.128, 0.14, 0.12, 0.092, 0.072, 0.056, 0.076, 0.104, + 0.124, 0.14, 0.164, 0.2, 0.216, 0.224, 0.248, 0.28, 0.308, 0.324, 0.348, 0.38, + 0.404, 0.408, 0.408, 0.384, 0.372, 0.356, 0.372, 0.3, 0.284, 0.352, 0.372, + 0.38, 0.364, 0.412, 0.32, 0.36, 0.32, 0.308, 0.276, 0.332, 0.34, 0.324, 0.344, + 0.372, 0.368, 0.368, 0.408, 0.464, 0.476, 0.44, 0.424, 0.468, 0.484, 0.496, + 0.468, 0.46, 0.484, 0.5, 0.504, 0.464, 0.448, 0.432, 0.396, 0.352, 0.34, 0.32, + 0.32, 0.316 + ], + "z": [ + -0.524, -0.552, -0.576, -0.58, -0.58, -0.724, -0.484, -0.496, -0.556, -0.524, + -0.552, -0.58, -0.648, -0.732, -0.784, -0.596, -0.644, -0.72, -0.756, -0.744, + -0.724, -0.7, -0.684, -0.716, -0.716, -0.68, -0.668, -0.656, -0.708, -0.736, + -0.696, -0.712, -0.684, -0.7, -0.688, -0.644, -0.596, -0.556, -0.572, -0.552, + -0.524, -0.496, -0.472, -0.504, -0.464, -0.368, -0.412, -0.42, -0.42, -0.436, + -0.372, -0.352, -0.352, -0.4, -0.372, -0.336, -0.292, -0.376, -0.392, -0.444, + -0.456, -0.436, -0.504, -0.56, -0.58, -0.62, -0.68, -0.716, -0.76, -0.76, + -0.768, -0.764, -0.792, -0.784, -0.76, -0.74, -0.728, -0.66, -0.7, -0.756, + -0.86, -0.776, -0.76, -0.812, -0.876, -0.872, -0.908, -0.96, -0.976, -0.996, + -1.032, -0.976, -0.96 + ] + } + } + ], + "output": {}, + "confidence": { + "currentConfidence": 0.0003733530465979129, + "requiredConfidence": 0.8, + "isConfident": false + } + } +] diff --git a/src/global.d.ts b/src/global.d.ts index 7d38bd5c1..7a73d983c 100644 --- a/src/global.d.ts +++ b/src/global.d.ts @@ -5,3 +5,5 @@ */ /// + +declare module 'd3-3d'; diff --git a/src/i18n.ts b/src/i18n.ts index 67716ca3a..206da7ae5 100644 --- a/src/i18n.ts +++ b/src/i18n.ts @@ -4,47 +4,29 @@ * SPDX-License-Identifier: MIT */ -import { derived } from 'svelte/store'; -import translations from './translations'; +import { init, locale, register } from 'svelte-i18n'; +export { t } from 'svelte-i18n'; +import { get } from 'svelte/store'; import { persistantWritable } from './script/stores/storeUtil'; import browserLang from 'browser-lang'; -export const locales: string[] = Object.keys(translations); -const defaultLocale: keyof typeof translations = 'en'; +register('en', () => import('./messages/ui.en.json')); +register('da', () => import('./messages/ui.da.json')); + const initialLocale = browserLang({ - languages: locales, - fallback: defaultLocale, + languages: ['en', 'da'], + fallback: 'en', }); -export const locale = persistantWritable('lang', initialLocale); - -function translate(locale: string, key: string, vars: object): string { - // Let's throw some errors if we're trying to use keys/locales that don't exist. - // We could improve this by using Typescript and/or fallback values. - // if (!key) throw new Error("no key provided to $t()"); - // if (!locale) throw new Error(`no translation for key "${key}"`); +const persistantLocale = persistantWritable('lang', initialLocale); - // Grab the translation from the translations object. - // @ts-ignore - let text: string | undefined = translations[locale][key]; - if (text == null) { - console.warn(`no translation found for ${locale}.${key}`); - return key; // Use the key as fallback +locale.subscribe(newLocal => { + if (newLocal) { + persistantLocale.set(newLocal); } +}); - // Replace any passed in variables in the translation string. - Object.keys(vars).map(k => { - const regex = new RegExp(`{{${k}}}`, 'g'); - // @ts-ignore - text = text.replace(regex, vars[k]); - }); - - return text; -} - -export const t = derived( - locale, - $locale => - (key: string, vars = {}) => - translate($locale, key, vars), -); +await init({ + fallbackLocale: 'en', + initialLocale: get(persistantLocale), +}); diff --git a/src/main.ts b/src/main.ts index cd197a048..e5ad61524 100644 --- a/src/main.ts +++ b/src/main.ts @@ -7,7 +7,6 @@ import App from './App.svelte'; import './appInsights'; import 'virtual:windi.css'; - const app = new App({ target: document.body, }); diff --git a/src/menus/DataMenu.svelte b/src/menus/DataMenu.svelte index 1f2852958..3ef02616c 100644 --- a/src/menus/DataMenu.svelte +++ b/src/menus/DataMenu.svelte @@ -5,9 +5,10 @@ -->
- {#if !$state.isPredicting} + {#if !$model.hasModel}
@@ -31,7 +51,10 @@ {:else}
-

+

{predictionLabel}

diff --git a/src/menus/TrainingMenu.svelte b/src/menus/TrainingMenu.svelte index 5ed369f11..c04b9f8d0 100644 --- a/src/menus/TrainingMenu.svelte +++ b/src/menus/TrainingMenu.svelte @@ -5,14 +5,15 @@ -->
- {#if $state.isPredicting} + {#if $model.isTrained}
import Gesture from '../components/Gesture.svelte'; import { state } from '../script/stores/uiStore'; - import { - clearGestures, - downloadDataset, - loadDatasetFromFile, - } from '../script/stores/mlStore'; import { t } from '../i18n'; import RecordInformationContent from '../components/datacollection/RecordInformationContent.svelte'; import StandardDialog from '../components/dialogs/StandardDialog.svelte'; import MainConnectDialog from '../components/connection-prompt/ConnectDialogContainer.svelte'; import NewGestureButton from '../components/NewGestureButton.svelte'; - import StandardButton from '../components/StandardButton.svelte'; + import StandardButton from '../components/buttons/StandardButton.svelte'; import { startConnectionProcess } from '../script/stores/connectDialogStore'; - import PleaseConnectFirst from '../components/PleaseConnectFirst.svelte'; import DataPageControlBar from '../components/datacollection/DataPageControlBar.svelte'; import Information from '../components/information/Information.svelte'; import { onMount } from 'svelte'; - import { gestures } from '../script/stores/Stores'; + import FileUtility from '../script/repository/FileUtility'; + import { get } from 'svelte/store'; + import exampleDataset from '../exampleDataset.json'; + import { GestureData } from '../script/domain/stores/gesture/Gesture'; + import { stores } from '../script/stores/Stores'; + import PleaseConnect from '../components/PleaseConnect.svelte'; let isConnectionDialogOpen = false; + const gestures = stores.getGestures(); $: hasSomeData = (): boolean => { if ($gestures.length === 0) { return false; } - return $gestures.some(gesture => gesture.recordings.length > 0); + return $gestures.some((gesture: GestureData) => gesture.recordings.length > 0); }; const onClearGestures = () => { if (confirm($t('content.data.controlbar.button.clearData.confirm'))) { - clearGestures(); + gestures.clearGestures(); } }; const onDownloadGestures = () => { - downloadDataset(); + FileUtility.downloadDataset(get(gestures)); }; const onUploadGestures = () => { @@ -50,6 +50,7 @@ let filePicker: HTMLInputElement; onMount(() => { + // Todo: Maybe move some of this to the file utility class filePicker = document.createElement('input'); filePicker.type = 'file'; filePicker.accept = 'application/JSON'; @@ -58,17 +59,26 @@ return; } const f = filePicker.files[0]; - loadDatasetFromFile(f); + FileUtility.loadDatasetFromFile(f); filePicker.value = ''; // To trick element to trigger onChange if same file selected }; return () => { filePicker.remove(); }; }); + + const importExampleDataset = () => { + // Imports 3 gestures, named Shake, Still and Circle (in that order) + gestures.importFrom(exampleDataset); + // Translate the names, that are originally english + gestures.getGestures()[0].setName($t('content.data.noData.exampleName.shake')); + gestures.getGestures()[1].setName($t('content.data.noData.exampleName.still')); + gestures.getGestures()[2].setName($t('content.data.noData.exampleName.circle')); + }; -
+
{#if !hasSomeData() && !$state.isInputConnected}
- +
{:else}
@@ -139,4 +149,12 @@
{/if} + {#if !hasSomeData()} +
+
+ + {$t('content.data.noData.templateDataButton')} + +
+ {/if}
diff --git a/src/pages/Homepage.svelte b/src/pages/Homepage.svelte index e4b2bfd87..497e1baee 100644 --- a/src/pages/Homepage.svelte +++ b/src/pages/Homepage.svelte @@ -25,6 +25,8 @@ import SelectLanguageControlBarDropdown from '../components/control-bar/control-bar-items/SelectLanguageControlBarDropdown.svelte'; import { t } from '../i18n'; import { state } from '../script/stores/uiStore'; + import Environment from '../script/Environment'; + import DevTools from '../components/DevTools.svelte'; type ContentTile = { tile: ComponentType; spanColumns: number }; // Just add the content titles you wish to put on front page, in the order you wish them to be there @@ -40,6 +42,12 @@
+ {#if Environment.isInDevelopment} +
+

(DevTools)

+ +
+ {/if}
diff --git a/src/pages/PlaygroundPage.svelte b/src/pages/PlaygroundPage.svelte new file mode 100644 index 000000000..6e8080cce --- /dev/null +++ b/src/pages/PlaygroundPage.svelte @@ -0,0 +1,26 @@ + + + + +
+
+ +
+
+ + +
+
+ + +
diff --git a/src/pages/filter/D3Plot.svelte b/src/pages/filter/D3Plot.svelte index 9cb281431..896cbbe89 100644 --- a/src/pages/filter/D3Plot.svelte +++ b/src/pages/filter/D3Plot.svelte @@ -8,16 +8,21 @@ import { onMount, onDestroy } from 'svelte'; import { get } from 'svelte/store'; import * as d3 from 'd3'; - import { FilterType, determineFilter, getFilterLimits } from '../../script/datafunctions'; - import { GestureData } from '../../script/stores/mlStore'; import { state } from '../../script/stores/uiStore'; - import { getPrevData } from '../../script/stores/mlStore'; - import { gestures } from '../../script/stores/Stores'; - - export let filter: FilterType; + import FilterTypes, { FilterType } from '../../script/domain/FilterTypes'; + import FilterGraphLimits from '../../script/utils/FilterLimits'; + import { GestureData } from '../../script/domain/stores/gesture/Gesture'; + import { RecordingData } from '../../script/domain/stores/gesture/Gestures'; + import StaticConfiguration from '../../StaticConfiguration'; + import { stores } from '../../script/stores/Stores'; + + export let filterType: FilterType; export let fullScreen: boolean = false; $: showLive = $state.isInputConnected; + $: liveData = $stores.liveData; + + const gestures = stores.getGestures(); type RecordingRepresentation = { ID: number; @@ -29,12 +34,11 @@ }; type Axis = 'x' | 'y' | 'z'; type PathDrawer = (gesture: RecordingRepresentation) => string | null; - + // Data const uniqueLiveDataID = 983095438740; - const filterStrategy = determineFilter(filter); - const filterFunction = (data: number[]) => filterStrategy.computeOutput(data); - let color: d3.ScaleOrdinal | undefined = undefined; + const filter = FilterTypes.createFilter(filterType); + const filterFunction = (data: number[]) => filter.filter(data); let classList: { name: string; id: number }[] = []; const recordings = createDataRepresentation(); // side effect: updates classList and color @@ -48,21 +52,25 @@ // Scalars to built graph and insert data in graph const dimensions: Axis[] = ['x', 'y', 'z']; - const {min, max} = getFilterLimits(filter); - const xScalar: d3.ScalePoint = d3.scalePoint().range([15, width]).padding(0.1).domain(dimensions); + const { min, max } = FilterGraphLimits.getFilterLimits(filter); + const xScalar: d3.ScalePoint = d3 + .scalePoint() + .range([15, width]) + .padding(0.1) + .domain(dimensions); const yScalar: any = createYScalar(dimensions, min, max); const path = getPathFunc(xScalar, yScalar, dimensions); onMount(() => { // append the svg object for plot plot = d3 - .select('#parallel-plot-' + filter) + .select('#parallel-plot-' + filterType) .append('svg') .attr('width', width + margin.left + margin.right) .attr('height', height + margin.top + margin.bottom) .append('g') .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - + drawParallelPlot(recordings, plot); }); @@ -71,48 +79,43 @@ }, 100); // --------- DRAW PLOT --------------- - function drawParallelPlot( - data: RecordingRepresentation[], - p: any, - ) { - + function drawParallelPlot(data: RecordingRepresentation[], p: any) { drawAxes(p, xScalar, yScalar); drawLines(data, p, path); - + plotDrawn = true; } function UpdateLiveDataPath(p: any) { - if(plotDrawn === false) return; + if (plotDrawn === false) return; - const livePath = p.select('.s'+uniqueLiveDataID); + const livePath = p.select('.s' + uniqueLiveDataID); - if (!showLive) { - if (!livePath.empty()) { - classList = classList.filter(c => c.id !== uniqueLiveDataID); - livePath.remove(); - } - return; + if (!showLive) { + if (!livePath.empty()) { + classList = classList.filter(c => c.id !== uniqueLiveDataID); + livePath.remove(); } + return; + } - const liveDataRep: RecordingRepresentation | undefined = createLiveData(); + const liveDataRep: RecordingRepresentation | undefined = createLiveData(); - if(liveDataRep === undefined) return; + if (liveDataRep === undefined) return; + if (livePath.empty()) { + // Add 'live' to legend + classList = [...classList, { name: 'live', id: uniqueLiveDataID }]; - if (livePath.empty()) { - // Add 'live' to legend - classList = [...classList, { name: 'live', id: uniqueLiveDataID }]; - - // Insert live data path - drawLines([liveDataRep], p, path); - } else { - // Update live path - const newLivePathLine = () => path(liveDataRep as RecordingRepresentation); - // Animate - livePath.transition().duration(50).attr('d', newLivePathLine); - } + // Insert live data path + drawLines([liveDataRep], p, path); + } else { + // Update live path + const newLivePathLine = () => path(liveDataRep as RecordingRepresentation); + // Animate + livePath.transition().duration(50).attr('d', newLivePathLine); + } } // --------- HELPER FUNCTIONS --------------- @@ -124,39 +127,51 @@ }); } - function getColorForClass(gestureID: string) { - if (color === undefined) { - throw new Error('Cannot get color for gesture, color function not defined'); + function getColorForClass(gestureID: number): string { + if (gestureID === uniqueLiveDataID) { + return StaticConfiguration.liveGraphColors[gestures.getNumberOfGestures()]; } - return color(gestureID); - }; + + return gestures.getGesture(gestureID).getColor(); + } function getStrokeColor(gesture: unknown) { const gestureID = (gesture as RecordingRepresentation).gestureClassID; if (!gestureID) { throw new Error('The given gesture did not contain a gestureClass'); } - return getColorForClass(gestureID.toString()); - }; + return getColorForClass(gestureID); + } function createLiveData() { - const liveData = getPrevData(); + const liveD = liveData + .getBuffer() + .getSeries( + StaticConfiguration.recordingDuration, + StaticConfiguration.pollingPredictionSampleSize, + ) + .map(d => d.value); + + const xs = liveD.map(d => d!.getVector()[0]); + const ys = liveD.map(d => d!.getVector()[1]); + const zs = liveD.map(d => d!.getVector()[2]); + if (liveData === undefined) return undefined; const filteredData: RecordingRepresentation = { ID: uniqueLiveDataID, gestureClassName: 'live', gestureClassID: uniqueLiveDataID, - x: filterFunction(liveData.x), - y: filterFunction(liveData.y), - z: filterFunction(liveData.z), + x: filterFunction(xs), + y: filterFunction(ys), + z: filterFunction(zs), }; return filteredData; - }; + } // Side effect: updates classList and color function createDataRepresentation() { const classes: { name: string; id: number }[] = []; - const data: GestureData[] = get(gestures); + const data: GestureData[] = get(stores.getGestures()); const recordings: RecordingRepresentation[] = []; data.map(gestureClassObject => { const gestureClassName: string = gestureClassObject.name; @@ -165,7 +180,7 @@ if (!classes.includes(gestureClass)) { classes.push(gestureClass); } - gestureClassObject.recordings.map(recording => { + gestureClassObject.recordings.map((recording: RecordingData) => { const ID = recording.ID; const x = filterFunction(recording.data.x); const y = filterFunction(recording.data.y); @@ -173,11 +188,9 @@ recordings.push({ ID, gestureClassName, gestureClassID, x, y, z }); }); }); - const classesIDs = [...classes.map(c => c.id.toString()), uniqueLiveDataID.toString()]; - color = d3.scaleOrdinal().domain(classesIDs).range(d3.schemeSet3); classList = classes; return recordings; - }; + } function highlight( _: any, @@ -200,10 +213,10 @@ if (!id) { throw new Error('The given gesture did not contain a gestureClass'); } - return getColorForClass(id.toString()); + return getColorForClass(id); }) .style('opacity', '1'); - }; + } function doNotHighlight() { d3.selectAll('.line') @@ -212,7 +225,7 @@ .delay(1000) .style('stroke', getStrokeColor) .style('opacity', '1'); - }; + } function drawLines(data: RecordingRepresentation[], plot: any, path: PathDrawer) { plot @@ -226,10 +239,10 @@ .attr('d', path) .style('fill', 'none') .style('stroke', function (gesture: RecordingRepresentation) { - return getColorForClass(gesture.gestureClassID.toString()); + return getColorForClass(gesture.gestureClassID); }) .style('opacity', function (gesture: RecordingRepresentation) { - return 0.8; + return 0.4; }) .style('stroke-width', function (gesture: RecordingRepresentation) { return 4; @@ -238,7 +251,7 @@ .on('mouseleave', doNotHighlight); } - function drawAxes(plot: any, x: d3.ScalePoint, y: any){ + function drawAxes(plot: any, x: d3.ScalePoint, y: any) { plot .selectAll() // For each dimension of the dataset I add a 'g' element: @@ -269,7 +282,6 @@ }); } - function createYScalar(d: Axis[], minimum: number, maximum: number) { let y: any = {}; for (let i in d) { @@ -277,31 +289,30 @@ y[axis] = d3.scaleLinear().domain([minimum, maximum]).range([height, 0]); } return y; - }; - + } // The path function take a row of the csv as input, and return x and y coordinates of the line to draw for this raw. function getPathFunc(x: d3.ScalePoint, y: any, d: Axis[]) { - return (gesture: RecordingRepresentation) => d3.line()( - d.map(function (axis: Axis) { - return [x(axis) as number, y[axis](gesture[axis])]; - }), - ); + return (gesture: RecordingRepresentation) => + d3.line()( + d.map(function (axis: Axis) { + return [x(axis) as number, y[axis](gesture[axis])]; + }), + ); } -
{#each classList as c}
highlight(null, { gestureClassID: c.id })} on:mouseleave={doNotHighlight}> {c.name}
{/each}
-
+
diff --git a/src/pages/filter/FilterPage.svelte b/src/pages/filter/FilterPage.svelte index 86da64a4a..0b2c93743 100644 --- a/src/pages/filter/FilterPage.svelte +++ b/src/pages/filter/FilterPage.svelte @@ -6,38 +6,39 @@ { - navigate(Paths.TRAINING); - }}> - - + fillOnHover + small + outlined + bold={false} + shadows={false} + color={'primary'} + onClick={() => { + navigate(Paths.TRAINING); + }}> + + {#if $gestures.length === 0}
@@ -52,12 +53,12 @@
{:else if isFilterInspectorDialogOpen && currentFilter !== undefined}
- +
{:else}
- {#each Object.values(Filters) as filter} - + {#each filtersAvailable as filter} + {/each}
{/if} diff --git a/src/pages/filter/FilterToggler.svelte b/src/pages/filter/FilterToggler.svelte index d2690ce91..32a8f1b13 100644 --- a/src/pages/filter/FilterToggler.svelte +++ b/src/pages/filter/FilterToggler.svelte @@ -6,30 +6,34 @@ @@ -49,12 +53,12 @@

- {filterText.name} + {filterName}

@@ -64,7 +68,7 @@
{ - openFilterInspector(filter, !fullScreen); + openFilterInspector(filterType, !fullScreen); }}> - +
import { t } from '../../i18n'; - import { state } from '../../script/stores/uiStore.js'; + import { state } from '../../script/stores/uiStore';

diff --git a/src/pages/home-page-content-tiles/NewFeaturesTile.svelte b/src/pages/home-page-content-tiles/NewFeaturesTile.svelte index a01a05e80..b0d1b8bea 100644 --- a/src/pages/home-page-content-tiles/NewFeaturesTile.svelte +++ b/src/pages/home-page-content-tiles/NewFeaturesTile.svelte @@ -10,8 +10,6 @@

{$t('content.index.newzHeading')}

- - -

{$t('content.index.newzBodyViz')}

-
+ width={250} />
diff --git a/src/pages/model/ModelPage.svelte b/src/pages/model/ModelPage.svelte index 8478f6088..561774a5a 100644 --- a/src/pages/model/ModelPage.svelte +++ b/src/pages/model/ModelPage.svelte @@ -6,12 +6,13 @@ - - -
- {#if $state.isPredicting} -
-
-
- -
-
- -
-
- -
-
- -
-
- -
- - {#each gestures.getGestures() as gesture} - - {/each} -
- {#if !$state.isOutputConnected && !hasClosedPopup && hasInteracted} -
-
-
-

- {$t('content.model.output.popup.header')} -

-

- {$t('content.model.output.popup.body')} -

-
-
- down arrow icon -
-
- -
-
-
- {/if} -
- {:else} - - {/if} -
diff --git a/src/pages/model/stackview/ModelPageStackView.svelte b/src/pages/model/stackview/ModelPageStackView.svelte new file mode 100644 index 000000000..4fe528de4 --- /dev/null +++ b/src/pages/model/stackview/ModelPageStackView.svelte @@ -0,0 +1,91 @@ + + + + + +
+ {#if $model.isTrained} + {#if $state.isInputReady} + + {:else} + + {/if} + {:else} + + {/if} +
diff --git a/src/pages/model/stackview/ModelPageStackViewContent.svelte b/src/pages/model/stackview/ModelPageStackViewContent.svelte new file mode 100644 index 000000000..94573e9b2 --- /dev/null +++ b/src/pages/model/stackview/ModelPageStackViewContent.svelte @@ -0,0 +1,97 @@ + + + +
+
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+ + {#each gestures.getGestures() as gesture} + + {/each} +
+ {#if !$state.isOutputConnected && !hasClosedPopup && hasInteracted} +
+
+
+

+ {$t('content.model.output.popup.header')} +

+

+ {$t('content.model.output.popup.body')} +

+
+
+ down arrow icon +
+
+ +
+
+
+ {/if} +
diff --git a/src/pages/model/ModelPageTileView.svelte b/src/pages/model/tileview/ModelPageTileView.svelte similarity index 78% rename from src/pages/model/ModelPageTileView.svelte rename to src/pages/model/tileview/ModelPageTileView.svelte index 5e489a90c..c2cb04456 100644 --- a/src/pages/model/ModelPageTileView.svelte +++ b/src/pages/model/tileview/ModelPageTileView.svelte @@ -6,14 +6,19 @@
- {#if !$state.isPredicting} + {#if !$model.hasModel} {:else} diff --git a/src/pages/model/ModelPageTileViewTiles.svelte b/src/pages/model/tileview/ModelPageTileViewTiles.svelte similarity index 73% rename from src/pages/model/ModelPageTileViewTiles.svelte rename to src/pages/model/tileview/ModelPageTileViewTiles.svelte index 80b5afb7f..0276615ef 100644 --- a/src/pages/model/ModelPageTileViewTiles.svelte +++ b/src/pages/model/tileview/ModelPageTileViewTiles.svelte @@ -5,15 +5,17 @@ --> + +
+
+

+ {$t('menu.trainer.notEnoughDataHeader1')} +

+

+ {$t('menu.trainer.notEnoughDataInfoBody')} +

+
+
diff --git a/src/pages/training/KnnModelTrainingPageView.svelte b/src/pages/training/KnnModelTrainingPageView.svelte new file mode 100644 index 000000000..c6d6419f8 --- /dev/null +++ b/src/pages/training/KnnModelTrainingPageView.svelte @@ -0,0 +1,111 @@ + + + +
+
+
+
+
changeK(-1)} + class="bg-secondary font-bold text-secondarytext cursor-pointer select-none hover:bg-opacity-60 border-primary border-r-1 content-center px-2 rounded-l-xl"> + - +
+
changeK(1)} + class="bg-secondary border-primary text-secondarytext cursor-pointer hover:bg-opacity-60 select-none content-center px-2 rounded-r-xl"> + + +
+
+

+ {$knnConfig.k} + {$t('content.trainer.knn.neighbours')} +

+
+ +
+ {#each $gestures as gesture, index} +
+
+
+
+
+

{gesture.name}

+
+ {#if $state.isInputReady} +

+ {(($confidences.get(gesture.ID) ?? 0) * 100).toFixed(2)}% +

+ {/if} +
+ {/each} +
+
+ {#if $filters.length == 2} + + {:else} +
+

+ {$t('menu.trainer.knn.onlyTwoFilters')} +

+
+ {/if} +
diff --git a/src/pages/training/NeuralNetworkTrainingPageView.svelte b/src/pages/training/NeuralNetworkTrainingPageView.svelte new file mode 100644 index 000000000..d1206e74e --- /dev/null +++ b/src/pages/training/NeuralNetworkTrainingPageView.svelte @@ -0,0 +1,58 @@ + + + +
+ {#if $model.isTraining} +
+ +
+ {#if !hasFeature(Feature.LOSS_GRAPH)} +

{$t('menu.trainer.isTrainingModelButton')}

+ {/if} + {:else} + {#if $model.isTrained && !hasFeature(Feature.LOSS_GRAPH)} +

{$t('menu.trainer.TrainingFinished')}

+

{$t('menu.trainer.TrainingFinished.body')}

+ {/if} + + {$t(trainButtonSimpleLabel)} + + {/if} + {#if $loss.length > 0 && hasFeature(Feature.LOSS_GRAPH)} + + {/if} +
diff --git a/src/pages/training/TrainModelButton.svelte b/src/pages/training/TrainModelButton.svelte new file mode 100644 index 000000000..4d384dc6a --- /dev/null +++ b/src/pages/training/TrainModelButton.svelte @@ -0,0 +1,83 @@ + + + + +{#if hasFeature(Feature.KNN_MODEL)} + +{:else} + + {$t(trainButtonSimpleLabel)} + +{/if} diff --git a/src/pages/training/TrainModelButton.ts b/src/pages/training/TrainModelButton.ts new file mode 100644 index 000000000..41ca3cb76 --- /dev/null +++ b/src/pages/training/TrainModelButton.ts @@ -0,0 +1,72 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Writable, get } from 'svelte/store'; +import { DropdownOption } from '../../components/buttons/Buttons'; +import { highlightedAxis } from '../../script/stores/uiStore'; +import ModelTrainer from '../../script/domain/ModelTrainer'; +import MLModel from '../../script/domain/MLModel'; +import Axes from '../../script/domain/Axes'; +import { stores } from '../../script/stores/Stores'; +import StaticConfiguration from '../../StaticConfiguration'; +import KNNNonNormalizedModelTrainer from '../../script/mlmodels/KNNNonNormalizedModelTrainer'; +import { extractAxisFromTrainingData } from '../../script/utils/graphUtils'; +import LayersModelTrainer, { + LossTrainingIteration, +} from '../../script/mlmodels/LayersModelTrainer'; +import { FilterType } from '../../script/domain/FilterTypes'; +import Filters from '../../script/domain/Filters'; +import ModelRegistry, { ModelInfo } from '../../script/domain/ModelRegistry'; +import { knnConfig } from '../../script/stores/knnConfig'; + +const classifier = stores.getClassifier(); + +export const options: DropdownOption[] = ModelRegistry.getModels().map(model => { + return { + id: model.id, + label: model.title, + }; +}); + +export const getModelTrainer = ( + model: ModelInfo, + onTrainingIteration: (iteration: LossTrainingIteration) => void, +): ModelTrainer => { + const currentAxis = get(highlightedAxis); + if (model.id === ModelRegistry.KNN.id) { + const offset = currentAxis === Axes.X ? 0 : currentAxis === Axes.Y ? 1 : 2; + return new KNNNonNormalizedModelTrainer(get(knnConfig).k, data => + extractAxisFromTrainingData(data, offset, 3), + ); + } + highlightedAxis.set(undefined); + + return new LayersModelTrainer(StaticConfiguration.layersModelTrainingSettings, h => { + onTrainingIteration(h); + }); +}; + +export const trainModel = ( + selectedOption: Writable, + onTrainingIteration: (iteration: LossTrainingIteration) => void, +) => { + const selectedModel = ModelRegistry.getModels().find( + model => model.id === get(selectedOption).id, + ); + const model = classifier.getModel(); + + if (selectedModel?.id === 'KNN') { + const knnFilters = [FilterType.MAX, FilterType.MEAN]; + const filters: Filters = classifier.getFilters(); + filters.clear(); + for (const filter of knnFilters) { + filters.add(filter); + } + } + + if (selectedModel) { + model.train(getModelTrainer(selectedModel, onTrainingIteration)); + } +}; diff --git a/src/pages/training/TrainingButton.svelte b/src/pages/training/TrainingButton.svelte deleted file mode 100644 index 1bfb30033..000000000 --- a/src/pages/training/TrainingButton.svelte +++ /dev/null @@ -1,21 +0,0 @@ - - - - -{#if sufficientData && $state.isInputConnected && !$state.isTraining} - {$t(trainButtonLabel)} -{/if} diff --git a/src/pages/training/TrainingFailedDialog.svelte b/src/pages/training/TrainingFailedDialog.svelte new file mode 100644 index 000000000..5d2ab229a --- /dev/null +++ b/src/pages/training/TrainingFailedDialog.svelte @@ -0,0 +1,45 @@ + + + + + (isFailedTrainingDialogOpen = false)}> +
+
+

+ {$t('content.trainer.failure.header')} +

+

+ {$t('content.trainer.failure.body')} +

+

+ {$t('content.trainer.failure.todo')} +

+
+
+ diff --git a/src/pages/training/TrainingPage.svelte b/src/pages/training/TrainingPage.svelte index 025d35d9a..de29f8e79 100644 --- a/src/pages/training/TrainingPage.svelte +++ b/src/pages/training/TrainingPage.svelte @@ -5,100 +5,29 @@ --> - (isFailedTrainingDialogOpen = false)}> -
-
-

- {$t('content.trainer.failure.header')} -

-

- {$t('content.trainer.failure.body')} -

-

- {$t('content.trainer.failure.todo')} -

-
-
- +
- - { - navigate(Paths.FILTERS); - }}> - {$t('content.trainer.controlbar.filters')} - - -
- {#if !$state.isInputConnected} - - {:else if !sufficientData} -
-

- {$t('menu.trainer.notEnoughDataHeader1')} -

-

- {$t('menu.trainer.notEnoughDataInfoBody')} -

-
- {:else if $state.isTraining} -
-
- -
-

- {$t('menu.trainer.isTrainingModelButton')} -

-
- {:else} -
- {#if $state.isPredicting} -

- {$t('menu.trainer.TrainingFinished')} -

-

- {$t('menu.trainer.TrainingFinished.body')} -

- {/if} -
- -
-
- {/if} -
+ + {#if !sufficientData} + + {:else} + + {/if} + {#if !$state.isInputConnected} +
+ +
+ {/if}
diff --git a/src/pages/training/TrainingPage.ts b/src/pages/training/TrainingPage.ts new file mode 100644 index 000000000..5fef88df3 --- /dev/null +++ b/src/pages/training/TrainingPage.ts @@ -0,0 +1,78 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get, writable } from 'svelte/store'; +import { highlightedAxis, selectedModel } from '../../script/stores/uiStore'; +import Axes from '../../script/domain/Axes'; +import KNNNonNormalizedModelTrainer from '../../script/mlmodels/KNNNonNormalizedModelTrainer'; +import StaticConfiguration from '../../StaticConfiguration'; +import { extractAxisFromTrainingData } from '../../script/utils/graphUtils'; +import { stores } from '../../script/stores/Stores'; +import CookieManager from '../../script/CookieManager'; +import { appInsights } from '../../appInsights'; +import ModelRegistry, { ModelInfo } from '../../script/domain/ModelRegistry'; +import LayersModelTrainer, { + LossTrainingIteration, +} from '../../script/mlmodels/LayersModelTrainer'; +import { knnConfig } from '../../script/stores/knnConfig'; +import Logger from '../../script/utils/Logger'; + +export const loss = writable([]); + +const trainingIterationHandler = (h: LossTrainingIteration) => { + loss.update(newLoss => { + newLoss.push(h); + return newLoss; + }); +}; + +const trainNNModel = async () => { + highlightedAxis.set(undefined); + loss.set([]); + const modelTrainer = new LayersModelTrainer( + StaticConfiguration.layersModelTrainingSettings, + trainingIterationHandler, + ); + await stores.getClassifier().getModel().train(modelTrainer); +}; + +const trainKNNModel = async () => { + if (get(highlightedAxis) === undefined) { + highlightedAxis.set(Axes.X); + } + const currentAxis = get(highlightedAxis); + const offset = currentAxis === Axes.X ? 0 : currentAxis === Axes.Y ? 1 : 2; + const modelTrainer = new KNNNonNormalizedModelTrainer( + get(knnConfig).k, + data => { + const extractedData = extractAxisFromTrainingData(data, offset, 3); + Logger.log('TrainingPage', 'Extracted data: \n' + JSON.stringify(extractedData)); + return extractedData; + }, // 3 assumes 3 axis + ); + await stores.getClassifier().getModel().train(modelTrainer); +}; + +export const trainModel = async (model: ModelInfo) => { + Logger.log('TrainingPage', 'Training new model: ' + model.title); + // highlightedAxis.set(undefined); + if (ModelRegistry.KNN.id === model.id) { + await trainKNNModel(); + } else if (ModelRegistry.NeuralNetwork.id === model.id) { + await trainNNModel(); + } + trackModelEvent(); +}; + +const trackModelEvent = () => { + if (CookieManager.getComplianceChoices().analytics) { + appInsights.trackEvent({ + name: 'ModelTrained', + properties: { + modelType: get(selectedModel).id, + }, + }); + } +}; diff --git a/src/pages/training/TrainingPageModelView.svelte b/src/pages/training/TrainingPageModelView.svelte new file mode 100644 index 000000000..bdb8ba2a8 --- /dev/null +++ b/src/pages/training/TrainingPageModelView.svelte @@ -0,0 +1,29 @@ + + + + +
+
+ {#if showFilterList} + + {/if} + {#if $selectedModel.id === ModelRegistry.KNN.id} + + {:else if $selectedModel.id === ModelRegistry.NeuralNetwork.id} + + {/if} +
+
diff --git a/src/pages/training/TrainingPageTabs.svelte b/src/pages/training/TrainingPageTabs.svelte new file mode 100644 index 000000000..97e2d4709 --- /dev/null +++ b/src/pages/training/TrainingPageTabs.svelte @@ -0,0 +1,70 @@ + + + +{#if showTabBar} + +
+ +
+

Neural Network

+
+ +
+

KNN Model

+
+
+ +{:else} + +
+ { + navigate(Paths.FILTERS); + }}> + {$t('content.trainer.controlbar.filters')} + + +{/if} diff --git a/src/router/Router.svelte b/src/router/Router.svelte index 1c2f9de23..a43bb1390 100644 --- a/src/router/Router.svelte +++ b/src/router/Router.svelte @@ -11,6 +11,7 @@ import ModelPage from '../pages/model/ModelPage.svelte'; import FilterPage from '../pages/filter/FilterPage.svelte'; import TrainingPage from '../pages/training/TrainingPage.svelte'; + import PlaygroundPage from '../pages/PlaygroundPage.svelte'; import { currentPageComponent } from '../views/currentComponentStore'; import { currentPath, navigate, Paths, PathType } from './paths'; @@ -18,6 +19,8 @@ switch (path) { case Paths.HOME: return Homepage; + case Paths.PLAYGROUND: + return PlaygroundPage; case Paths.DATA: return DataPage; case Paths.TRAINING: diff --git a/src/router/paths.ts b/src/router/paths.ts index cfa4f59fa..267aaa1e4 100644 --- a/src/router/paths.ts +++ b/src/router/paths.ts @@ -8,6 +8,7 @@ import { writable, Writable, get, derived } from 'svelte/store'; export const Paths = { HOME: '/', + PLAYGROUND: 'playground', DATA: 'data', TRAINING: 'training', MODEL: 'model', diff --git a/src/script/ControlledStorage.ts b/src/script/ControlledStorage.ts index 853d86b02..d189087da 100644 --- a/src/script/ControlledStorage.ts +++ b/src/script/ControlledStorage.ts @@ -1,3 +1,5 @@ +import StaticConfiguration from '../StaticConfiguration'; + /** * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors * @@ -9,10 +11,21 @@ type StoredValue = { }; class ControlledStorage { + public static readonly localStorageVersion = 2; + public static get(key: string): T { const storedValue = this.getStoredItem(key); - const parsedValue = this.parseItem(storedValue); - return parsedValue.value; + try { + const parsedValue = this.parseItem(storedValue); + return parsedValue.value; + } catch (error) { + console.log( + `An error occurred while parsing the stored value with key ${key}. The stored value will be deleted`, + error, + ); + localStorage.removeItem(key); + } + throw new Error(`Could not parse value '${storedValue}'`); } public static set(key: string, value: T): void { @@ -21,6 +34,20 @@ class ControlledStorage { localStorage.setItem(key, stringified); } + public static hasValid(key: string): boolean { + try { + this.parseItem(this.getStoredItem(key)); + } catch (error) { + console.log( + `An error occurred while parsing the stored value with key ${key}. The stored value will be deleted`, + error, + ); + localStorage.removeItem(key); + return false; + } + return !!localStorage.getItem(key); + } + private static getStoredItem(key: string): string { const value = localStorage.getItem(key); if (!value) { @@ -42,12 +69,17 @@ class ControlledStorage { if (!('value' in parsed)) { throw new Error(`Could not parse value '${storedValue}'. It did not contain value`); } + if (parsed.version !== ControlledStorage.localStorageVersion) { + throw new Error( + `Could not parse value '${storedValue}'. Version mismatch. Expected version ${ControlledStorage.localStorageVersion}, found version ${parsed.version}`, + ); + } return parsed; } private static encapsulateItem(value: T): StoredValue { return { - version: 1, // todo move this magic constant + version: ControlledStorage.localStorageVersion, value, }; } diff --git a/src/script/Environment.ts b/src/script/Environment.ts index 2b42fd532..435d5505b 100644 --- a/src/script/Environment.ts +++ b/src/script/Environment.ts @@ -6,9 +6,6 @@ class Environment { public static isInDevelopment: boolean = process.env.NODE_ENV === 'development'; - public static pageTitle: string = process.env.VITE_TITLE - ? process.env.VITE_TITLE - : 'Learning tool'; } export default Environment; diff --git a/src/script/FeatureToggles.ts b/src/script/FeatureToggles.ts new file mode 100644 index 000000000..7caa22155 --- /dev/null +++ b/src/script/FeatureToggles.ts @@ -0,0 +1,49 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import features from '../../features.json'; +import CookieManager from './CookieManager'; +import Logger from './utils/Logger'; + +export enum Feature { + KNN_MODEL = 'knnModel', + TITLE = 'title', + LOSS_GRAPH = 'lossGraph', + MAKECODE = 'makecode', +} + +export const hasFeature = (feature: Feature): boolean => { + if (CookieManager.hasFeatureFlag('FEATURE-TOGGLE-ALWAYS-TRUE')) { + Logger.log( + 'Feature Toggle', + 'FEATURE-TOGGLE-ALWAYS-TRUE is set! hasFeature is always true', + ); + return true; + } + const featuresListedInJson = Object.getOwnPropertyNames(features); + if (!featuresListedInJson.includes(feature.toString())) { + throw new Error( + 'Attempted to check for feature, which did not exist in features.json', + ); + } + + const entries = Object.entries(features as { [s: string]: any }); + const toggles = new Map(entries); + return !!toggles.get(feature.toString()); +}; + +export const getFeature = (feature: Feature): T => { + const featuresListedInJson = Object.getOwnPropertyNames(features); + + if (!featuresListedInJson.includes(feature.toString())) { + throw new Error( + 'Attempted to check for feature, which did not exist in features.json', + ); + } + const entries = Object.entries(features as { [s: string]: any }); + + const toggles = new Map(entries); + return toggles.get(feature.toString()) as T; +}; diff --git a/src/script/Repositories.ts b/src/script/Repositories.ts deleted file mode 100644 index e08502219..000000000 --- a/src/script/Repositories.ts +++ /dev/null @@ -1,39 +0,0 @@ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ -import GestureRepository from './gestures/GestureRepository'; -import ModelRepository from './stores/ModelRepository'; - -class Repositories { - private gestureRepository: GestureRepository; - - private modelRepository: ModelRepository; - - private static instance: Repositories; - - constructor() { - if (Repositories.instance) { - // Singleton - throw new Error('Could not instantiate repository. It is already instantiated!'); - } - Repositories.instance = this; - this.modelRepository = new ModelRepository(); - this.gestureRepository = new GestureRepository(this.modelRepository); - } - - public static getInstance() { - return this.instance; - } - - public getGestureRepository() { - return this.gestureRepository; - } - - public getModelRepository() { - return this.modelRepository; - } -} - -export default Repositories; diff --git a/src/script/compatibility/CompatibilityList.ts b/src/script/compatibility/CompatibilityList.ts index 64e87cd25..b2c7cd5c3 100644 --- a/src/script/compatibility/CompatibilityList.ts +++ b/src/script/compatibility/CompatibilityList.ts @@ -109,7 +109,6 @@ abstract class CompatibilityList { protected static readonly minVersions: BrowserVersion[]; protected static readonly exceptions: BrowserException[]; - // TODO: Use or remove. Never used at the moment public static getMinVersion(browserName: string): SemVer | undefined { return this.minVersions.find( version => version.browser.toLowerCase() === browserName.toLowerCase(), diff --git a/src/script/datafunctions.ts b/src/script/datafunctions.ts deleted file mode 100644 index ed3b3be5a..000000000 --- a/src/script/datafunctions.ts +++ /dev/null @@ -1,245 +0,0 @@ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ - -import { t } from '../i18n'; -import { get } from 'svelte/store'; - -export const Filters = { - MAX: 'max', - MEAN: 'mean', - MIN: 'min', - STD: 'std', - PEAKS: 'peaks', - ACC: 'acc', - ZCR: 'zcr', - RMS: 'rms', -} as const; - -export type FilterType = (typeof Filters)[keyof typeof Filters]; - -export const Axes = { - X: 'x', - Y: 'y', - Z: 'z', -} as const; - -export type AxesType = (typeof Axes)[keyof typeof Axes]; - -export function clamp(value: number, min: number, max: number): number { - return Math.min(Math.max(value, min), max); -} - -interface FilterStrategy { - computeOutput(data: number[]): number; - getText(): { name: string; description: string }; -} - -class MeanFilter implements FilterStrategy { - computeOutput(data: number[]): number { - return data.reduce((a, b) => a + b) / data.length; - } - getText() { - return { - name: get(t)('content.filters.mean.title'), - description: get(t)('content.filters.mean.description'), - }; - } -} - -class SDFilter implements FilterStrategy { - computeOutput(data: number[]): number { - const mean = data.reduce((a, b) => a + b) / data.length; - return Math.sqrt(data.reduce((a, b) => a + Math.pow(b - mean, 2), 0) / data.length); - } - getText() { - return { - name: get(t)('content.filters.std.title'), - description: get(t)('content.filters.std.description'), - }; - } -} - -class RootMeanSquareFilter implements FilterStrategy { - computeOutput(data: number[]): number { - const res = Math.sqrt(data.reduce((a, b) => a + Math.pow(b, 2), 0) / data.length); - return res; - } - getText() { - return { - name: get(t)('content.filters.rms.title'), - description: get(t)('content.filters.rms.description'), - }; - } -} - -class ZeroCrossingRateFilter implements FilterStrategy { - computeOutput(data: number[]): number { - let count = 0; - for (let i = 1; i < data.length; i++) { - if ((data[i] >= 0 && data[i - 1] < 0) || (data[i] < 0 && data[i - 1] >= 0)) { - count++; - } - } - return count / (data.length - 1); - } - getText() { - return { - name: get(t)('content.filters.zcr.title'), - description: get(t)('content.filters.zcr.description'), - }; - } -} - -class TotalAccFilter implements FilterStrategy { - computeOutput(data: number[]): number { - return data.reduce((a, b) => a + Math.abs(b)); - } - getText() { - return { - name: get(t)('content.filters.acc.title'), - description: get(t)('content.filters.acc.description'), - }; - } -} - -class MaxFilter implements FilterStrategy { - computeOutput(data: number[]): number { - return Math.max(...data); - } - getText() { - return { - name: get(t)('content.filters.max.title'), - description: get(t)('content.filters.max.description'), - }; - } -} - -class MinFilter implements FilterStrategy { - computeOutput(data: number[]): number { - return Math.min(...data); - } - getText() { - return { - name: get(t)('content.filters.min.title'), - description: get(t)('content.filters.min.description'), - }; - } -} - -class PeaksFilter implements FilterStrategy { - computeOutput(data: number[]): number { - const lag = 5; - const threshold = 3.5; - const influence = 0.5; - - let peaksCounter = 0; - - if (data.length < lag + 2) { - throw new Error('data sample is too short'); - } - - // init variables - const signals = Array(data.length).fill(0) as number[]; - const filteredY = data.slice(0); - const lead_in = data.slice(0, lag); - - const avgFilter: number[] = []; - avgFilter[lag - 1] = mean(lead_in); - const stdFilter: number[] = []; - stdFilter[lag - 1] = stddev(lead_in); - - for (let i = lag; i < data.length; i++) { - if ( - Math.abs(data[i] - avgFilter[i - 1]) > 0.1 && - Math.abs(data[i] - avgFilter[i - 1]) > threshold * stdFilter[i - 1] - ) { - if (data[i] > avgFilter[i - 1]) { - signals[i] = +1; // positive signal - if (i - 1 > 0 && signals[i - 1] == 0) { - peaksCounter++; - } - } else { - signals[i] = -1; // negative signal - } - // make influence lower - filteredY[i] = influence * data[i] + (1 - influence) * filteredY[i - 1]; - } else { - signals[i] = 0; // no signal - filteredY[i] = data[i]; - } - - // adjust the filters - const y_lag = filteredY.slice(i - lag, i); - avgFilter[i] = mean(y_lag); - stdFilter[i] = stddev(y_lag); - } - return peaksCounter; - } - getText() { - return { - name: get(t)('content.filters.peaks.title'), - description: get(t)('content.filters.peaks.description'), - }; - } -} - -function mean(a: number[]): number { - return a.reduce((acc, val) => acc + val) / a.length; -} - -function stddev(arr: number[]): number { - const arr_mean = mean(arr); - const r = function (acc: number, val: number) { - return acc + (val - arr_mean) * (val - arr_mean); - }; - return Math.sqrt(arr.reduce(r, 0.0) / arr.length); -} - -export function determineFilter(filter: FilterType): FilterStrategy { - switch (filter) { - case Filters.MAX: - return new MaxFilter(); - case Filters.MIN: - return new MinFilter(); - case Filters.STD: - return new SDFilter(); - case Filters.PEAKS: - return new PeaksFilter(); - case Filters.ACC: - return new TotalAccFilter(); - case Filters.MEAN: - return new MeanFilter(); - case Filters.ZCR: - return new ZeroCrossingRateFilter(); - case Filters.RMS: - return new RootMeanSquareFilter(); - default: - throw new Error('Filter not found'); - } -} - -export function getFilterLimits(filter: FilterType): { min: number; max: number } { - switch (filter) { - case Filters.MAX: - return { min: -2.4, max: 2.4 }; - case Filters.MIN: - return { min: -2.4, max: 2.4 }; - case Filters.STD: - return { min: 0, max: 2.4 }; - case Filters.PEAKS: - return { min: 0, max: 10 }; - case Filters.ACC: - return { min: 0, max: 160 }; - case Filters.MEAN: - return { min: -2.4, max: 2.4 }; - case Filters.ZCR: - return { min: 0, max: 1 }; - case Filters.RMS: - return { min: 0, max: 2 }; - default: - throw new Error('Filter not found'); - } -} diff --git a/src/script/domain/Axes.ts b/src/script/domain/Axes.ts new file mode 100644 index 000000000..8bfd5492d --- /dev/null +++ b/src/script/domain/Axes.ts @@ -0,0 +1,12 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +enum Axes { + X = 'x', + Y = 'y', + Z = 'z', +} + +export default Axes; diff --git a/src/script/domain/ClassifierFactory.ts b/src/script/domain/ClassifierFactory.ts new file mode 100644 index 000000000..9194af007 --- /dev/null +++ b/src/script/domain/ClassifierFactory.ts @@ -0,0 +1,81 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable, Writable, get, writable } from 'svelte/store'; +import Classifier from './stores/Classifier'; +import Filters from './Filters'; +import { TrainingData } from './ModelTrainer'; +import MLModel from './MLModel'; +import { TrainerConsumer } from '../repository/LocalStorageClassifierRepository'; +import Gesture, { GestureID } from './stores/gesture/Gesture'; +import Model from './stores/Model'; +import { RecordingData } from './stores/gesture/Gestures'; + +class ClassifierFactory { + public buildClassifier( + model: Writable, + trainerConsumer: TrainerConsumer, + filters: Filters, + gestures: Readable, + confidenceSetter: (gestureId: GestureID, confidence: number) => void, + ): Classifier { + const classifier = new Classifier( + this.buildModel(trainerConsumer, model), + filters, + gestures, + confidenceSetter, + ); + filters.subscribe(() => { + // Filters has changed + classifier.getModel().markAsUntrained(); + }); + const noOfGesturesStore = writable(0); + gestures.subscribe(newVal => { + if (newVal.length != get(noOfGesturesStore)) { + noOfGesturesStore.set(newVal.length); + } + }); + // Gesture was removed or added (doesn't detect if number of recordings change) + noOfGesturesStore.subscribe(() => { + classifier.getModel().markAsUntrained(); + }); + return classifier; + } + + public buildTrainingData(gestures: Gesture[], filters: Filters): TrainingData { + const classes = gestures.map(gesture => { + return { + samples: this.buildFilteredSamples(gesture.getRecordings(), filters), + }; + }); + + return { + classes, + }; + } + + private buildModel( + trainerConsumer: TrainerConsumer, + mlModel: Writable, + ): Model { + const model = new Model(trainerConsumer, mlModel); + return model; + } + + private buildFilteredSamples(recordings: RecordingData[], filters: Filters) { + return recordings.map(recording => { + const data = recording.data; + return { + value: [ + ...filters.compute(data.x), + ...filters.compute(data.y), + ...filters.compute(data.z), + ], + }; + }); + } +} + +export default ClassifierFactory; diff --git a/src/script/domain/ClassifierInput.ts b/src/script/domain/ClassifierInput.ts new file mode 100644 index 000000000..7ff74e507 --- /dev/null +++ b/src/script/domain/ClassifierInput.ts @@ -0,0 +1,14 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import Filters from './Filters'; + +interface ClassifierInput { + getInput(filters: Filters): number[]; + + getNumberOfSamples(): number; +} + +export default ClassifierInput; diff --git a/src/script/domain/ClassifierRepository.ts b/src/script/domain/ClassifierRepository.ts new file mode 100644 index 000000000..5eb367dfb --- /dev/null +++ b/src/script/domain/ClassifierRepository.ts @@ -0,0 +1,18 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import Classifier from './stores/Classifier'; +import Confidences from './stores/Confidences'; +import GestureConfidence from './stores/gesture/GestureConfidence'; + +interface ClassifierRepository { + getClassifier(): Classifier; + + getGestureConfidence(gestureId: number): GestureConfidence; + + getConfidences(): Confidences; +} + +export default ClassifierRepository; diff --git a/src/script/domain/Filter.ts b/src/script/domain/Filter.ts new file mode 100644 index 000000000..46d90653d --- /dev/null +++ b/src/script/domain/Filter.ts @@ -0,0 +1,20 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { FilterType } from './FilterTypes'; + +interface Filter { + filter(inValues: number[]): number; + + getType(): FilterType; + + getName(): string; + + getDescription(): string; + + getMinNumberOfSamples(): number; +} + +export default Filter; diff --git a/src/script/domain/FilterTypes.ts b/src/script/domain/FilterTypes.ts new file mode 100644 index 000000000..c05a4f00a --- /dev/null +++ b/src/script/domain/FilterTypes.ts @@ -0,0 +1,57 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import Filter from '../domain/Filter'; +import MaxFilter from '../filters/MaxFilter'; +import MeanFilter from '../filters/MeanFilter'; +import MinFilter from '../filters/MinFilter'; +import PeaksFilter from '../filters/PeaksFilter'; +import RootMeanSquareFilter from '../filters/RootMeanSquareFilter'; +import StandardDeviationFilter from '../filters/StandardDeviationFilter'; +import TotalAccFilter from '../filters/TotalAccFilter'; +import ZeroCrossingRateFilter from '../filters/ZeroCrossingRateFilter'; + +export enum FilterType { + MAX, + MIN, + MEAN, + STD, + PEAKS, + ACC, + ZCR, + RMS, +} + +class FilterTypes { + public static createFilter(type: FilterType): Filter { + switch (type) { + case FilterType.MAX: + return new MaxFilter(); + case FilterType.MIN: + return new MinFilter(); + case FilterType.MEAN: + return new MeanFilter(); + case FilterType.STD: + return new StandardDeviationFilter(); + case FilterType.PEAKS: + return new PeaksFilter(); + case FilterType.ACC: + return new TotalAccFilter(); + case FilterType.ZCR: + return new ZeroCrossingRateFilter(); + case FilterType.RMS: + return new RootMeanSquareFilter(); + default: + throw new Error(`Unknown filter type '${type as string}'`); + } + } + public static toIterable(): FilterType[] { + return Object.values(FilterType).filter( + value => typeof value === 'number', + ) as FilterType[]; + } +} + +export default FilterTypes; diff --git a/src/script/domain/Filters.ts b/src/script/domain/Filters.ts new file mode 100644 index 000000000..c9252539b --- /dev/null +++ b/src/script/domain/Filters.ts @@ -0,0 +1,64 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable, Subscriber, Unsubscriber, Writable, get } from 'svelte/store'; +import Filter from './Filter'; +import FilterTypes, { FilterType } from './FilterTypes'; +import Logger from '../utils/Logger'; + +class Filters implements Readable { + constructor(private filters: Writable) {} + public subscribe( + run: Subscriber, + invalidate?: ((value?: Filter[] | undefined) => void) | undefined, + ): Unsubscriber { + return this.filters.subscribe(run, invalidate); + } + + public compute(values: number[]): number[] { + return get(this.filters).map(filter => { + return filter.filter(values); + }); + } + + public set(filterTypes: FilterType[]) { + const newFilters = filterTypes.map(filterType => + FilterTypes.createFilter(filterType), + ); + Logger.log('Setting filter ', newFilters); + this.filters.set(newFilters); + } + + public add(filterType: FilterType) { + if (this.has(filterType)) { + // Just a thought: Does it make sense to have duplicate filters? + throw new Error('Cannot add filter type. Filters already has this type'); + } + const filter = FilterTypes.createFilter(filterType); + const oldFilterArray = [...get(this.filters)]; + this.filters.set([...oldFilterArray, filter]); + Logger.log('Filters', 'added filter ', filter); + } + + public has(filterType: FilterType): boolean { + return get(this.filters).filter(filter => filter.getType() === filterType).length > 0; + } + + public remove(filterType: FilterType) { + this.filters.set([ + ...get(this.filters).filter(filter => filter.getType() != filterType), + ]); + } + + public clear() { + this.filters.set([]); + } + + public count(): number { + return get(this.filters).length; + } +} + +export default Filters; diff --git a/src/script/domain/GestureRepository.ts b/src/script/domain/GestureRepository.ts new file mode 100644 index 000000000..c9413a064 --- /dev/null +++ b/src/script/domain/GestureRepository.ts @@ -0,0 +1,20 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable } from 'svelte/store'; +import Gesture from './stores/gesture/Gesture'; +import { PersistantGestureData } from './stores/gesture/Gestures'; + +interface GestureRepository extends Readable { + getGesture(gestureId: number): Gesture; + + clearGestures(): void; + + addGesture(gestureData: PersistantGestureData): Gesture; + + removeGesture(gestureId: number): void; +} + +export default GestureRepository; diff --git a/src/script/domain/LiveDataBuffer.ts b/src/script/domain/LiveDataBuffer.ts new file mode 100644 index 000000000..ccbaa12ce --- /dev/null +++ b/src/script/domain/LiveDataBuffer.ts @@ -0,0 +1,99 @@ +import { LiveDataVector } from './stores/LiveDataVector'; + +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +export type TimestampedData = { + value: T; + timestamp: number; +}; +class LiveDataBuffer { + private buffer: (TimestampedData | null)[]; + private bufferPtr = 0; // The buffer pointer keeps increasing from 0 to infinity each time a new item is added + private bufferUtilization = 0; + constructor(private maxLen: number) { + this.buffer = new Array | null>(maxLen).fill(null); + } + + public addValue(value: T) { + const bufferIndex = this.getBufferIndex(); + this.bufferPtr++; + this.buffer[bufferIndex] = { + timestamp: Date.now(), + value: value, + }; + } + + public getNewestValues(noOfValues: number): (T | null)[] { + const values = []; + for (let i = 0; i < noOfValues; i++) { + const item = this.buffer[this.getBufferIndexFrom(this.bufferPtr - (i + 1))]; + if (item) { + values.push(item.value); + } else { + values.push(null); + } + } + + return values; + } + + public getSeries(time: number, noOfElements: number) { + let searchPointer = this.bufferPtr; + this.bufferUtilization = 0; + // Search for elements that fit the time frame + const series = []; + const dateStart = Date.now(); + let i = 0; + while (i < this.maxLen) { + const element = this.buffer[this.getBufferIndexFrom(searchPointer - 1)]; + if (!element) { + throw new Error('Found null element in LiveDataBuffer'); + } + const timeElapsed = dateStart - element.timestamp; + if (timeElapsed > time) { + break; + } + series.push(element); + searchPointer--; + i++; + } + + this.bufferUtilization = Math.max( + series.length / this.maxLen, + noOfElements / this.maxLen, + ); + + // Now the series array is filled with elements within the timeframe. + // We should now find `noOfElements` number of items to return + if (series.length < noOfElements) { + throw new Error( + 'Insufficient buffer data! Try increasing the polling rate or decrease the number of elements requested', + ); + } + + // We will spread out the values evenly and return the result + const resultSeries = []; + for (let i = 0; i < noOfElements; i++) { + const index = Math.floor(series.length / noOfElements) * i; + resultSeries.push(series[index]); + } + return resultSeries; + } + + public getBufferUtilization() { + return this.bufferUtilization; + } + + private getBufferIndex(): number { + return this.getBufferIndexFrom(this.bufferPtr); + } + + private getBufferIndexFrom(index: number): number { + return index % this.maxLen; + } +} + +export default LiveDataBuffer; diff --git a/src/script/domain/MLModel.ts b/src/script/domain/MLModel.ts new file mode 100644 index 000000000..ef3cf1cee --- /dev/null +++ b/src/script/domain/MLModel.ts @@ -0,0 +1,10 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +interface MLModel { + predict(filteredData: number[]): Promise; +} + +export default MLModel; diff --git a/src/script/domain/MLModelFactory.ts b/src/script/domain/MLModelFactory.ts new file mode 100644 index 000000000..fcc2c1af8 --- /dev/null +++ b/src/script/domain/MLModelFactory.ts @@ -0,0 +1,19 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import Axes from './Axes'; +import Filters from './Filters'; +import MLModel from './MLModel'; + +export type MLModelSettings = { + axes: Axes[]; + filters: Filters; +}; + +interface MLModelFactory { + buildModel(settings: MLModelSettings): T; +} + +export default MLModelFactory; diff --git a/src/script/domain/ModelRegistry.ts b/src/script/domain/ModelRegistry.ts new file mode 100644 index 000000000..57f28012d --- /dev/null +++ b/src/script/domain/ModelRegistry.ts @@ -0,0 +1,30 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +export type ModelInfo = { + id: string; + title: string; + label: string; +}; + +class ModelRegistry { + public static NeuralNetwork: ModelInfo = { + id: 'NN', + title: 'Neural network', + label: 'neural network', + }; + + public static KNN: ModelInfo = { + id: 'KNN', + title: 'KNN', + label: 'KNN', + }; + + public static getModels(): ModelInfo[] { + return [this.NeuralNetwork, this.KNN]; + } +} + +export default ModelRegistry; diff --git a/src/script/domain/ModelTrainer.ts b/src/script/domain/ModelTrainer.ts new file mode 100644 index 000000000..ae177599c --- /dev/null +++ b/src/script/domain/ModelTrainer.ts @@ -0,0 +1,20 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import MLModel from './MLModel'; + +export type TrainingData = { + classes: { + samples: { + value: number[]; + }[]; + }[]; +}; + +interface ModelTrainer { + trainModel(trainingData: TrainingData): Promise; +} + +export default ModelTrainer; diff --git a/src/script/domain/Repositories.ts b/src/script/domain/Repositories.ts new file mode 100644 index 000000000..e49450864 --- /dev/null +++ b/src/script/domain/Repositories.ts @@ -0,0 +1,16 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import ClassifierRepository from './ClassifierRepository'; +import GestureRepository from './GestureRepository'; +import Confidences from './stores/Confidences'; + +interface Repositories { + getGestureRepository(): GestureRepository; + + getClassifierRepository(): ClassifierRepository; +} + +export default Repositories; diff --git a/src/script/domain/stores/BindableValue.ts b/src/script/domain/stores/BindableValue.ts new file mode 100644 index 000000000..eed73065f --- /dev/null +++ b/src/script/domain/stores/BindableValue.ts @@ -0,0 +1,48 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import { Readable, Subscriber, Unsubscriber, Updater, Writable, get } from 'svelte/store'; + +/** + * Bindable value is a wrapper that is useful when you want to allow binding of variables in custom stores. + * + * The following is an example of how to use it to allow binding of the name of gestures. + * + * ```ts + * public bindName(): BindableValue { + * const setter = (val: string) => this.setName(val); + * const bindable = new BindableValue( + * setter, + * derived(this.store, s => s.name), + * ); + * return bindable; + * } + * ``` + */ +class BindableValue implements Writable { + /** + * The setter is the function that will be used when the bound variable receives an update instruction. + * The subscribable is the store that will be used as data source + */ + constructor( + private setter: (newValue: T) => void, + private subscribable: Readable, + ) {} + public set(value: T): void { + this.setter(value); + } + public update(updater: Updater): void { + this.setter(updater(get(this.subscribable))); + } + public subscribe( + run: Subscriber, + invalidate?: ((value?: T | undefined) => void) | undefined, + ): Unsubscriber { + return this.subscribable.subscribe(run, invalidate); + } +} + +export default BindableValue; diff --git a/src/script/domain/stores/Classifier.ts b/src/script/domain/stores/Classifier.ts new file mode 100644 index 000000000..8cc2a33a2 --- /dev/null +++ b/src/script/domain/stores/Classifier.ts @@ -0,0 +1,60 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable, Subscriber, Unsubscriber, derived, get } from 'svelte/store'; +import Filters from '../Filters'; +import ClassifierInput from '../ClassifierInput'; +import Model, { ModelData } from './Model'; +import Gesture, { GestureID } from './gesture/Gesture'; + +type ClassifierData = { + model: ModelData; +}; + +class Classifier implements Readable { + constructor( + private model: Model, + private filters: Filters, + private gestures: Readable, + private confidenceSetter: (gestureId: GestureID, confidence: number) => void, + ) {} + + public subscribe( + run: Subscriber, + invalidate?: ((value?: ClassifierData | undefined) => void) | undefined, + ): Unsubscriber { + return derived([this.model], stores => { + const modelStore = stores[0]; + return { + model: modelStore, + }; + }).subscribe(run, invalidate); + } + + /** + * Takes in a ClassifierInput object and updates the GestureConfidence store of each Gesture + */ + public async classify(input: ClassifierInput): Promise { + const filteredInput = input.getInput(this.filters); + const predictions = await this.getModel().predict(filteredInput); + predictions.forEach((confidence, index) => { + const gesture = get(this.gestures)[index]; + this.confidenceSetter(gesture.getId(), confidence); + }); + } + + public getFilters(): Filters { + return this.filters; + } + + /** + * Returns the Model store + */ + public getModel(): Model { + return this.model; + } +} + +export default Classifier; diff --git a/src/script/domain/stores/Confidences.ts b/src/script/domain/stores/Confidences.ts new file mode 100644 index 000000000..2efbb380b --- /dev/null +++ b/src/script/domain/stores/Confidences.ts @@ -0,0 +1,48 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { + Readable, + Subscriber, + Unsubscriber, + Writable, + get, + writable, +} from 'svelte/store'; +import { GestureID } from './gesture/Gesture'; + +type GestureConfidenceMap = Map; + +class Confidences implements Readable { + private confidenceStore: Writable; + + constructor() { + this.confidenceStore = writable(new Map()); + } + + public subscribe( + run: Subscriber, + invalidate?: ((value?: GestureConfidenceMap | undefined) => void) | undefined, + ): Unsubscriber { + return this.confidenceStore.subscribe(run, invalidate); + } + + public setConfidence(gestureId: GestureID, confidence: number): void { + this.confidenceStore.update((map: GestureConfidenceMap) => { + map.set(gestureId, confidence); + return map; + }); + } + + public getConfidence(gestureId: GestureID): number { + const confidence = get(this.confidenceStore).get(gestureId); + if (confidence === undefined) { + throw new Error(`No confidence value found for gesture with ID ${gestureId}`); + } + return confidence; + } +} + +export default Confidences; diff --git a/src/script/domain/stores/Engine.ts b/src/script/domain/stores/Engine.ts new file mode 100644 index 000000000..34002a0de --- /dev/null +++ b/src/script/domain/stores/Engine.ts @@ -0,0 +1,17 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable } from 'svelte/store'; + +export type EngineData = { + isRunning: boolean; +}; + +interface Engine extends Readable { + start(): void; + stop(): void; +} + +export default Engine; diff --git a/src/script/domain/stores/LiveData.ts b/src/script/domain/stores/LiveData.ts new file mode 100644 index 000000000..1c1b019aa --- /dev/null +++ b/src/script/domain/stores/LiveData.ts @@ -0,0 +1,36 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable } from 'svelte/store'; +import LiveDataBuffer from '../LiveDataBuffer'; +import { LiveDataVector } from './LiveDataVector'; + +/** + * A container for real-time data. Uses a LiveDataBuffer to store data points. + */ +interface LiveData extends Readable { + /** + * Inserts a new data point to the LiveData object + */ + put(data: T): void; + + /** + * Returns the buffer that holds the most recent data points. + */ + getBuffer(): LiveDataBuffer; + + /** + * The size of the data series (used by graphs). + * I.e for x,y,z the series size should be 3. + */ + getSeriesSize(): number; + + /** + * Returns labels accociated with each data point (Such as for the LiveGraph) + */ + getLabels(): string[]; +} + +export default LiveData; diff --git a/src/script/domain/stores/LiveDataVector.ts b/src/script/domain/stores/LiveDataVector.ts new file mode 100644 index 000000000..60c3822d7 --- /dev/null +++ b/src/script/domain/stores/LiveDataVector.ts @@ -0,0 +1,13 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +export interface LiveDataVector { + getVector(): number[]; + + getSize(): number; + + getLabels(): string[]; +} diff --git a/src/script/domain/stores/Model.ts b/src/script/domain/stores/Model.ts new file mode 100644 index 000000000..ccdb14cc6 --- /dev/null +++ b/src/script/domain/stores/Model.ts @@ -0,0 +1,131 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { + Readable, + Subscriber, + Unsubscriber, + Writable, + derived, + get, + writable, +} from 'svelte/store'; +import { TrainerConsumer } from '../../repository/LocalStorageClassifierRepository'; +import MLModel from '../MLModel'; +import ModelTrainer from '../ModelTrainer'; + +export enum TrainingStatus { + Untrained, + InProgress, + Success, + Failure, +} + +export enum ModelType { + LAYERS, +} + +type BaseModelData = { + trainingStatus: TrainingStatus; +}; + +export type ModelData = { + isTraining: boolean; + isTrained: boolean; + hasModel: boolean; +} & BaseModelData; + +class Model implements Readable { + private modelData: Writable; + + constructor( + private trainerConsumer: TrainerConsumer, + private mlModel: Readable, + ) { + this.modelData = writable({ + trainingStatus: TrainingStatus.Untrained, + }); + } + + public async train(modelTrainer: ModelTrainer): Promise { + this.modelData.update(state => { + state.trainingStatus = TrainingStatus.InProgress; + return state; + }); + try { + await this.trainerConsumer(modelTrainer); + this.modelData.update(state => { + state.trainingStatus = TrainingStatus.Success; + return state; + }); + } catch (err) { + this.modelData.update(state => { + state.trainingStatus = TrainingStatus.Failure; + return state; + }); + console.error(err); + } + } + + /** + * Whether a model has been trained successfully. + */ + public isTrained(): boolean { + return get(this.modelData).trainingStatus === TrainingStatus.Success; + } + + /** + * Returns true if a MLModel is specified. Returns false if MLModel is undefined. Note canPredict may be true, even if isTrained() is false. + */ + public hasModel(): boolean { + return get(this.mlModel) !== undefined; + } + + /** + * Marks the model as untrained. If model was previously trained, the predict method will still work, because the model doesn't get dropped + */ + public markAsUntrained(): void { + this.modelData.update(updater => { + updater.trainingStatus = TrainingStatus.Untrained; + return updater; + }); + } + + public isTraining(): boolean { + return get(this.modelData).trainingStatus === TrainingStatus.InProgress; + } + + /** + * Manually perform a prediction using an array of numbers as input values. Returns an array of confidences with size equivalent to the number of gestures. + * + * Use if you have to, but see `classifier.classify()` first + */ + public async predict(inputData: number[]): Promise { + const mlModel = get(this.mlModel); + if (!mlModel) { + throw new Error('Cannot predict, no MLModel has been specified'); + } + return await mlModel.predict(inputData); + } + + public subscribe( + run: Subscriber, + invalidate?: ((value?: ModelData | undefined) => void) | undefined, + ): Unsubscriber { + const derivedStore = derived([this.modelData, this.mlModel], stores => { + const inputStore = stores[0]; + const mlModelStore = stores[1]; + return { + trainingStatus: inputStore.trainingStatus, + isTraining: inputStore.trainingStatus === TrainingStatus.InProgress, + hasModel: mlModelStore !== undefined, + isTrained: inputStore.trainingStatus === TrainingStatus.Success, + }; + }); + return derivedStore.subscribe(run, invalidate); + } +} + +export default Model; diff --git a/src/script/stores/Gesture.ts b/src/script/domain/stores/gesture/Gesture.ts similarity index 66% rename from src/script/stores/Gesture.ts rename to src/script/domain/stores/gesture/Gesture.ts index d5888b063..feacd5a1d 100644 --- a/src/script/stores/Gesture.ts +++ b/src/script/domain/stores/gesture/Gesture.ts @@ -4,22 +4,42 @@ * SPDX-License-Identifier: MIT */ import { Readable, Subscriber, Unsubscriber, Writable, derived, get } from 'svelte/store'; -import { GestureData, GestureOutput, RecordingData, SoundData } from './mlStore'; -import { PersistantGestureData } from './Gestures'; -import { PinTurnOnState } from '../../components/output/PinSelectorUtil'; -import MBSpecs from '../microbit-interfacing/MBSpecs'; -import BindableValue from './BindableValue'; import GestureConfidence from './GestureConfidence'; +import { PersistantGestureData, RecordingData } from './Gestures'; +import MBSpecs from '../../../microbit-interfacing/MBSpecs'; +import { PinTurnOnState } from '../../../../components/output/PinSelectorUtil'; +import BindableValue from '../BindableValue'; + +export type GestureID = number; + +export type Confidence = { + currentConfidence: number; + requiredConfidence: number; + isConfident: boolean; +}; + +export type GestureData = PersistantGestureData & { confidence: Confidence }; + +export type GestureOutput = { + matrix?: boolean[]; + sound?: SoundData; + outputPin?: { pin: MBSpecs.UsableIOPin; pinState: PinTurnOnState; turnOnTime: number }; +}; + +export type SoundData = { + name: string; + id: string; + path: string; +}; class Gesture implements Readable { private store: Readable; - private gestureConfidence: GestureConfidence; constructor( private persistedData: Writable, - confidence: GestureConfidence, + private gestureConfidence: GestureConfidence, + private onRecordingsChanged: () => void, ) { - this.gestureConfidence = confidence; this.store = this.deriveStore(); } @@ -30,7 +50,7 @@ class Gesture implements Readable { return this.store.subscribe(run, invalidate); } - public getId(): number { + public getId(): GestureID { return get(this.store).ID; } @@ -53,7 +73,25 @@ class Gesture implements Readable { return get(this.store).name; } + /** + * Get the HEX color assigned to this gesture. + */ + public getColor(): string { + return get(this.store).color; + } + + /** + * Set the HEX color assigned to this gesture. + */ + public setColor(color: string): void { + this.persistedData.update(val => { + val.color = color; + return val; + }); + } + public addRecording(recording: RecordingData) { + this.onRecordingsChanged(); this.persistedData.update(newVal => { newVal.recordings = [recording, ...newVal.recordings]; return newVal; @@ -61,6 +99,7 @@ class Gesture implements Readable { } public removeRecording(recordingId: number) { + this.onRecordingsChanged(); this.persistedData.update(newVal => { newVal.recordings = newVal.recordings.filter( recording => recording.ID !== recordingId, @@ -109,13 +148,14 @@ class Gesture implements Readable { private deriveStore(): Readable { return derived([this.persistedData, this.gestureConfidence], stores => { - const peristantData = stores[0]; + const persistantData = stores[0]; const confidenceData = stores[1]; const derivedData: GestureData = { - ID: peristantData.ID, - name: peristantData.name, - recordings: peristantData.recordings, - output: peristantData.output, + ID: persistantData.ID, + name: persistantData.name, + recordings: persistantData.recordings, + output: persistantData.output, + color: persistantData.color, confidence: { currentConfidence: confidenceData.confidence, requiredConfidence: confidenceData.requiredConfidence, diff --git a/src/script/stores/GestureConfidence.ts b/src/script/domain/stores/gesture/GestureConfidence.ts similarity index 94% rename from src/script/stores/GestureConfidence.ts rename to src/script/domain/stores/gesture/GestureConfidence.ts index 5f040b9db..c79262472 100644 --- a/src/script/stores/GestureConfidence.ts +++ b/src/script/domain/stores/gesture/GestureConfidence.ts @@ -24,7 +24,10 @@ class GestureConfidence implements Readable { private store: Readable; - constructor(requiredConfidence: number, private confidence: Readable) { + constructor( + requiredConfidence: number, + private confidence: Readable, + ) { /**/ this.requiredConfidence = writable(requiredConfidence); this.store = this.deriveStore(); diff --git a/src/script/stores/Gestures.ts b/src/script/domain/stores/gesture/Gestures.ts similarity index 60% rename from src/script/stores/Gestures.ts rename to src/script/domain/stores/gesture/Gestures.ts index 71ca8e43c..cd6033356 100644 --- a/src/script/stores/Gestures.ts +++ b/src/script/domain/stores/gesture/Gestures.ts @@ -12,33 +12,28 @@ import { get, writable, } from 'svelte/store'; -import { GestureData, GestureOutput, RecordingData } from './mlStore'; -import Gesture from './Gesture'; -import GestureRepository from '../gestures/GestureRepository'; +import Gesture, { Confidence, GestureData, GestureID, GestureOutput } from './Gesture'; +import StaticConfiguration from '../../../../StaticConfiguration'; +import GestureRepository from '../../GestureRepository'; +import ClassifierRepository from '../../ClassifierRepository'; export type PersistantGestureData = { name: string; - ID: number; + ID: GestureID; recordings: RecordingData[]; output: GestureOutput; + color: string; +}; + +export type RecordingData = { + ID: number; + data: { + x: number[]; + y: number[]; + z: number[]; + }; }; -/** - * Gestures is a custom store. It handles an array of [Gesture]. It acts as a regular store, but it cannot be updated - * using the regular $ subscription. One has to use the functions attached to the store such as `createGesture("someName")`. - * Calls to these functions causes updates at subscribers - * - * Example: - * ```ts - * - * - * {#each $gestures as gesture} - *

{gesture.name}

- * {/each} - * ``` - */ class Gestures implements Readable { private static subscribableGestures: Writable; private repository: GestureRepository; @@ -46,7 +41,6 @@ class Gestures implements Readable { constructor(repository: GestureRepository) { this.repository = repository; Gestures.subscribableGestures = writable(); - this.repository.subscribe(storeArray => { Gestures.subscribableGestures.set(storeArray); }); @@ -65,21 +59,39 @@ class Gestures implements Readable { this.repository.clearGestures(); } + public hasSufficientData(): boolean { + if (get(Gestures.subscribableGestures).length < StaticConfiguration.minNoOfGestures) { + return false; + } + const recordingsCount = get(Gestures.subscribableGestures).map( + gesture => gesture.getRecordings().length, + ); + return !recordingsCount.some( + noOfRecordings => noOfRecordings < StaticConfiguration.minNoOfRecordingsPerGesture, + ); + } + public getGesture(gestureID: number): Gesture { return this.repository.getGesture(gestureID); } + // TODO: Change to getCurrent() or something else maybe public getGestures(): Gesture[] { return get(Gestures.subscribableGestures); } public createGesture(name = ''): Gesture { const newId = Date.now(); + const color = + StaticConfiguration.gestureColors[ + this.getNumberOfGestures() % StaticConfiguration.gestureColors.length + ]; return this.addGestureFromPersistedData({ ID: newId, recordings: [], output: {}, //TODO: ADD DEFAULT VALUES HERE name: name, + color, }); } @@ -96,6 +108,29 @@ class Gestures implements Readable { return get(Gestures.subscribableGestures).length; } + public getBestPrediction(): Readable { + return derived( + get(Gestures.subscribableGestures).map(gest => gest.getConfidence()), + confidences => { + if (confidences.length == 0) { + return undefined; + } + const sorted = [...confidences].map((data, index) => { + return { + index: index, + value: data, + }; + }); + + sorted.sort((confidence1, confidence2) => { + return confidence2.value.confidence - confidence1.value.confidence; + }); + + return get(Gestures.subscribableGestures)[sorted[0].index]; + }, + ); + } + private addGestureFromPersistedData(gestureData: PersistantGestureData): Gesture { return this.repository.addGesture(gestureData); } @@ -106,6 +141,7 @@ class Gestures implements Readable { name: gesture.getName(), recordings: gesture.getRecordings(), output: gesture.getOutput(), + color: gesture.getColor(), confidence: { currentConfidence: gesture.getConfidence().getCurrentConfidence(), requiredConfidence: gesture.getConfidence().getRequiredConfidence(), diff --git a/src/script/engine/PollingPredictorEngine.ts b/src/script/engine/PollingPredictorEngine.ts new file mode 100644 index 000000000..8b4aadad5 --- /dev/null +++ b/src/script/engine/PollingPredictorEngine.ts @@ -0,0 +1,110 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Subscriber, Unsubscriber, Writable, derived, get, writable } from 'svelte/store'; +import AccelerometerClassifierInput from '../mlmodels/AccelerometerClassifierInput'; +import StaticConfiguration from '../../StaticConfiguration'; +import { TimestampedData } from '../domain/LiveDataBuffer'; +import Engine, { EngineData } from '../domain/stores/Engine'; +import Classifier from '../domain/stores/Classifier'; +import LiveData from '../domain/stores/LiveData'; +import { LiveDataVector } from '../domain/stores/LiveDataVector'; + +/** + * The PollingPredictorEngine will predict on the current input with consistent intervals. + */ +class PollingPredictorEngine implements Engine { + private pollingInterval: ReturnType | undefined; + private isRunning: Writable; + + constructor( + private classifier: Classifier, + private liveData: LiveData, + ) { + this.isRunning = writable(true); + this.startPolling(); + } + + public subscribe( + run: Subscriber, + invalidate?: ((value?: EngineData | undefined) => void) | undefined, + ): Unsubscriber { + return derived([this.isRunning], stores => { + const isRunning = stores[0]; + return { + isRunning: isRunning, + }; + }).subscribe(run, invalidate); + } + + public start(): void { + this.isRunning.set(true); + } + + public stop(): void { + this.isRunning.set(false); + } + + private stopPolling() { + clearInterval(this.pollingInterval); + } + + private startPolling() { + this.pollingInterval = setInterval(() => { + void this.predict(); + }, StaticConfiguration.pollingPredictionInterval); + } + + private predict() { + if (!this.classifier.getModel().isTrained()) { + return; + } + if (!get(this.isRunning)) { + return; + } + const input = this.bufferToInput(); + const numberOfSamples = input.getNumberOfSamples(); + const requiredNumberOfSamples = Math.max( + ...get(this.classifier.getFilters()).map(filter => filter.getMinNumberOfSamples()), + ); + if (numberOfSamples < requiredNumberOfSamples) { + return; + } + void this.classifier.classify(input); + } + + private bufferToInput(): AccelerometerClassifierInput { + const bufferedData = this.getRawDataFromBuffer( + StaticConfiguration.pollingPredictionSampleSize, + ); + const xs = bufferedData.map(data => data.value.getVector()[0]); + const ys = bufferedData.map(data => data.value.getVector()[1]); + const zs = bufferedData.map(data => data.value.getVector()[2]); + // TODO: Generalize + return new AccelerometerClassifierInput(xs, ys, zs); + } + + /** + * Searches for an applicable amount of data, by iterately trying fewer data points if buffer fetch fails + */ + private getRawDataFromBuffer(sampleSize: number): TimestampedData[] { + try { + return this.liveData + .getBuffer() + .getSeries(StaticConfiguration.pollingPredictionSampleDuration, sampleSize); + } catch (_e) { + if (sampleSize < 8) { + return []; // The minimum number of points is 8, otherwise the filters will throw an exception + } else { + // If too few samples are available, try again with fewer samples + return this.getRawDataFromBuffer( + sampleSize - StaticConfiguration.pollingPredictionSampleSizeSearchStepSize, + ); + } + } + } +} + +export default PollingPredictorEngine; diff --git a/src/script/filters/FilterWithMaths.ts b/src/script/filters/FilterWithMaths.ts new file mode 100644 index 000000000..c70c93947 --- /dev/null +++ b/src/script/filters/FilterWithMaths.ts @@ -0,0 +1,33 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import Filter from '../domain/Filter'; +import { FilterType } from '../domain/FilterTypes'; + +abstract class FilterWithMaths implements Filter { + abstract getMinNumberOfSamples(): number; + abstract filter(inValues: number[]): number; + + abstract getType(): FilterType; + + abstract getName(): string; + + abstract getDescription(): string; + + protected stddev(arr: number[]): number { + const arr_mean = this.mean(arr); + const r = (acc: number, val: number) => { + return acc + (val - arr_mean) * (val - arr_mean); + }; + return Math.sqrt(arr.reduce(r, 0.0) / arr.length); + } + + protected mean(inValues: number[]): number { + return inValues.reduce((acc, val) => acc + val, 0) / inValues.length; + } +} + +export default FilterWithMaths; diff --git a/src/script/filters/MaxFilter.ts b/src/script/filters/MaxFilter.ts new file mode 100644 index 000000000..1499621c9 --- /dev/null +++ b/src/script/filters/MaxFilter.ts @@ -0,0 +1,28 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import Filter from '../domain/Filter'; +import { FilterType } from '../domain/FilterTypes'; +import { t } from 'svelte-i18n'; + +class MaxFilter implements Filter { + public getName(): string { + return get(t)('content.filters.max.title'); + } + public getDescription(): string { + return get(t)('content.filters.max.description'); + } + public getType(): FilterType { + return FilterType.MAX; + } + public filter(inValues: number[]): number { + return Math.max(...inValues); + } + public getMinNumberOfSamples(): number { + return 1; + } +} +export default MaxFilter; diff --git a/src/script/filters/MeanFilter.ts b/src/script/filters/MeanFilter.ts new file mode 100644 index 000000000..c23f2bc72 --- /dev/null +++ b/src/script/filters/MeanFilter.ts @@ -0,0 +1,32 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { t } from 'svelte-i18n'; +import { FilterType } from '../domain/FilterTypes'; +import FilterWithMaths from './FilterWithMaths'; +import { get } from 'svelte/store'; + +class MeanFilter extends FilterWithMaths { + public getType(): FilterType { + return FilterType.MEAN; + } + public filter(inValues: number[]): number { + return this.mean(inValues); + } + + public getDescription(): string { + return get(t)('content.filters.mean.description'); + } + + public getName(): string { + return get(t)('content.filters.mean.title'); + } + + public getMinNumberOfSamples(): number { + return 1; + } +} + +export default MeanFilter; diff --git a/src/script/filters/MinFilter.ts b/src/script/filters/MinFilter.ts new file mode 100644 index 000000000..449321728 --- /dev/null +++ b/src/script/filters/MinFilter.ts @@ -0,0 +1,30 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import Filter from '../domain/Filter'; +import { FilterType } from '../domain/FilterTypes'; +import { t } from 'svelte-i18n'; + +class MinFilter implements Filter { + public getName(): string { + return get(t)('content.filters.min.title'); + } + public getDescription(): string { + return get(t)('content.filters.min.description'); + } + public getType(): FilterType { + return FilterType.MIN; + } + + public filter(inValues: number[]): number { + return Math.min(...inValues); + } + public getMinNumberOfSamples(): number { + return 1; + } +} + +export default MinFilter; diff --git a/src/script/filters/PeaksFilter.ts b/src/script/filters/PeaksFilter.ts new file mode 100644 index 000000000..0b6f6a1ec --- /dev/null +++ b/src/script/filters/PeaksFilter.ts @@ -0,0 +1,76 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import { FilterType } from '../domain/FilterTypes'; +import FilterWithMaths from './FilterWithMaths'; +import { t } from 'svelte-i18n'; + +class PeaksFilter extends FilterWithMaths { + private lag = 5; + private threshold = 3.5; + private influence = 0.5; + public getName(): string { + return get(t)('content.filters.peaks.title'); + } + public getDescription(): string { + return get(t)('content.filters.peaks.description'); + } + public getType(): FilterType { + return FilterType.PEAKS; + } + + public filter(inValues: number[]): number { + let peaksCounter = 0; + + if (inValues.length < this.lag + 2) { + throw new Error('data sample is too short'); + } + + // init variables + const signals = Array(inValues.length).fill(0) as number[]; + const filteredY = inValues.slice(0); + const lead_in = inValues.slice(0, this.lag); + + const avgFilter: number[] = []; + avgFilter[this.lag - 1] = this.mean(lead_in); + const stdFilter: number[] = []; + stdFilter[this.lag - 1] = this.stddev(lead_in); + + for (let i = this.lag; i < inValues.length; i++) { + if ( + Math.abs(inValues[i] - avgFilter[i - 1]) > 0.1 && + Math.abs(inValues[i] - avgFilter[i - 1]) > this.threshold * stdFilter[i - 1] + ) { + if (inValues[i] > avgFilter[i - 1]) { + signals[i] = +1; // positive signal + if (i - 1 > 0 && signals[i - 1] == 0) { + peaksCounter++; + } + } else { + signals[i] = -1; // negative signal + } + // make influence lower + filteredY[i] = + this.influence * inValues[i] + (1 - this.influence) * filteredY[i - 1]; + } else { + signals[i] = 0; // no signal + filteredY[i] = inValues[i]; + } + + // adjust the filters + const y_lag = filteredY.slice(i - this.lag, i); + avgFilter[i] = this.mean(y_lag); + stdFilter[i] = this.stddev(y_lag); + } + return peaksCounter; + } + + public getMinNumberOfSamples(): number { + return this.lag + 2; + } +} + +export default PeaksFilter; diff --git a/src/script/filters/RootMeanSquareFilter.ts b/src/script/filters/RootMeanSquareFilter.ts new file mode 100644 index 000000000..6520a1ef5 --- /dev/null +++ b/src/script/filters/RootMeanSquareFilter.ts @@ -0,0 +1,31 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import Filter from '../domain/Filter'; +import { FilterType } from '../domain/FilterTypes'; +import { t } from 'svelte-i18n'; + +class RootMeanSquareFilter implements Filter { + public getName(): string { + return get(t)('content.filters.rms.title'); + } + public getDescription(): string { + return get(t)('content.filters.rms.description'); + } + public getType(): FilterType { + return FilterType.RMS; + } + + public filter(inValues: number[]): number { + return Math.sqrt(inValues.reduce((a, b) => a + Math.pow(b, 2), 0) / inValues.length); + } + + public getMinNumberOfSamples(): number { + return 1; + } +} + +export default RootMeanSquareFilter; diff --git a/src/script/filters/StandardDeviationFilter.ts b/src/script/filters/StandardDeviationFilter.ts new file mode 100644 index 000000000..925abcc94 --- /dev/null +++ b/src/script/filters/StandardDeviationFilter.ts @@ -0,0 +1,35 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import { FilterType } from '../domain/FilterTypes'; +import FilterWithMaths from './FilterWithMaths'; +import { t } from 'svelte-i18n'; + +class StandardDeviationFilter extends FilterWithMaths { + public getType(): FilterType { + return FilterType.STD; + } + public filter(inValues: number[]): number { + const mean = this.mean(inValues); + return Math.sqrt( + inValues.reduce((a, b) => a + Math.pow(b - mean, 2), 0) / inValues.length, + ); + } + + public getName(): string { + return get(t)('content.filters.std.title'); + } + + public getDescription(): string { + return get(t)('content.filters.std.description'); + } + + public getMinNumberOfSamples(): number { + return 2; + } +} + +export default StandardDeviationFilter; diff --git a/src/script/filters/TotalAccFilter.ts b/src/script/filters/TotalAccFilter.ts new file mode 100644 index 000000000..6d9a6bc05 --- /dev/null +++ b/src/script/filters/TotalAccFilter.ts @@ -0,0 +1,29 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import Filter from '../domain/Filter'; +import { FilterType } from '../domain/FilterTypes'; +import { t } from 'svelte-i18n'; + +class TotalAccFilter implements Filter { + public getName(): string { + return get(t)('content.filters.acc.title'); + } + public getDescription(): string { + return get(t)('content.filters.acc.description'); + } + public getType(): FilterType { + return FilterType.ACC; + } + public filter(inValues: number[]): number { + return inValues.reduce((a, b) => a + Math.abs(b)); + } + public getMinNumberOfSamples(): number { + return 2; + } +} + +export default TotalAccFilter; diff --git a/src/script/filters/ZeroCrossingRateFilter.ts b/src/script/filters/ZeroCrossingRateFilter.ts new file mode 100644 index 000000000..44d46e530 --- /dev/null +++ b/src/script/filters/ZeroCrossingRateFilter.ts @@ -0,0 +1,40 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import Filter from '../domain/Filter'; +import { FilterType } from '../domain/FilterTypes'; +import { t } from 'svelte-i18n'; + +class ZeroCrossingRateFilter implements Filter { + public getName(): string { + return get(t)('content.filters.zcr.title'); + } + public getDescription(): string { + return get(t)('content.filters.zcr.description'); + } + public getType(): FilterType { + return FilterType.ZCR; + } + + public filter(inValues: number[]): number { + let count = 0; + for (let i = 1; i < inValues.length; i++) { + if ( + (inValues[i] >= 0 && inValues[i - 1] < 0) || + (inValues[i] < 0 && inValues[i - 1] >= 0) + ) { + count++; + } + } + return count / (inValues.length - 1); + } + + public getMinNumberOfSamples(): number { + return 2; + } +} + +export default ZeroCrossingRateFilter; diff --git a/src/script/livedata/BaseVector.ts b/src/script/livedata/BaseVector.ts new file mode 100644 index 000000000..0ff56cec5 --- /dev/null +++ b/src/script/livedata/BaseVector.ts @@ -0,0 +1,28 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import { LiveDataVector } from '../domain/stores/LiveDataVector'; + +class BaseVector implements LiveDataVector { + public constructor( + private numbers: number[], + private labels: string[], + ) {} + + public getLabels(): string[] { + return this.labels; + } + + public getSize(): number { + return this.numbers.length; + } + + public getVector(): number[] { + return this.numbers; + } +} + +export default BaseVector; diff --git a/src/script/livedata/MicrobitAccelerometerData.ts b/src/script/livedata/MicrobitAccelerometerData.ts new file mode 100644 index 000000000..4cdf39b7e --- /dev/null +++ b/src/script/livedata/MicrobitAccelerometerData.ts @@ -0,0 +1,95 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Subscriber, Unsubscriber, Writable, get, writable } from 'svelte/store'; +import LiveDataBuffer from '../domain/LiveDataBuffer'; +import LiveData from '../domain/stores/LiveData'; +import { LiveDataVector } from '../domain/stores/LiveDataVector'; + +export type MicrobitAccelerometerData = { + x: number; + y: number; + z: number; +}; + +export const asAccelerometerData = (input: LiveDataVector) => { + if (input.getSize() != 3) { + throw new Error('Cannot cast input as accelerometer data, size is not 3'); + } + const data = new MicrobitAccelerometerDataVector({ + x: input.getVector()[0], + y: input.getVector()[1], + z: input.getVector()[2], + }); + + input.getLabels().forEach((label, index) => { + if (data.getLabels()[index] !== label) { + throw new Error('Cannot cast input as accelerometer data, labels do not match'); + } + }); + return data; +}; + +export class MicrobitAccelerometerDataVector implements LiveDataVector { + public constructor(private data: MicrobitAccelerometerData) {} + + public getLabels(): string[] { + return ['X', 'Y', 'Z']; + } + public getSize(): number { + return this.getVector().length; + } + + public getVector(): number[] { + return [this.data.x, this.data.y, this.data.z]; + } + + public getAccelerometerData(): MicrobitAccelerometerData { + return this.data; + } +} + +class MicrobitAccelerometerLiveData implements LiveData { + private store: Writable; + constructor(private dataBuffer: LiveDataBuffer) { + this.store = writable( + new MicrobitAccelerometerDataVector({ + x: 0, + y: 0, + z: 0, + }), + ); + } + + public getBuffer(): LiveDataBuffer { + return this.dataBuffer; + } + + public put(data: MicrobitAccelerometerDataVector): void { + this.store.set(data); + this.dataBuffer.addValue(data); + } + + public getSeriesSize(): number { + // TODO: Could be replaced with the version in the store, as it is initialized in constructor + return new MicrobitAccelerometerDataVector({ x: 0, y: 0, z: 0 }).getSize(); + } + + public getLabels(): string[] { + // TODO: Could be replaced with the version in the store, as it is initialized in constructor + return new MicrobitAccelerometerDataVector({ x: 0, y: 0, z: 0 }).getLabels(); + } + + public subscribe( + run: Subscriber, + invalidate?: + | ((value?: MicrobitAccelerometerDataVector | undefined) => void) + | undefined, + ): Unsubscriber { + return this.store.subscribe(run, invalidate); + } +} + +export default MicrobitAccelerometerLiveData; diff --git a/src/script/livedata/SmoothedLiveData.ts b/src/script/livedata/SmoothedLiveData.ts new file mode 100644 index 000000000..42fd0ed11 --- /dev/null +++ b/src/script/livedata/SmoothedLiveData.ts @@ -0,0 +1,96 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable, Subscriber, Unsubscriber, derived } from 'svelte/store'; +import LiveDataBuffer from '../domain/LiveDataBuffer'; +import { smoothNewValue } from '../utils/graphUtils'; +import LiveData from '../domain/stores/LiveData'; +import { LiveDataVector } from '../domain/stores/LiveDataVector'; +import BaseVector from './BaseVector'; + +/** + * Uses interpolation to produce a 'smoothed' representation of a live data object. + * + * Each entry in the SmoothedLiveData will be interpolated with previous values seen. I.e `y_i = 0.75x_(i-1) + 0.25x_i` + */ +class SmoothedLiveData implements LiveData { + private smoothedStore: Readable; + + /** + * Creates a new SmoothedLiveData store, using the provided LiveData store as data reference. + * @param noOfSamples The number of samples to interpolate over + */ + constructor( + private referenceStore: LiveData, + private noOfSamples: number, + ) { + this.smoothedStore = this.deriveStore(); + } + + /** + * Inserts a data point into the reference LiveData store. + */ + public put(data: T): void { + this.referenceStore.put(data); + } + + /** + * Throws an error. SmoothedLiveData wraps a LivedData object, if you wan't the buffer, please use the inner LiveData object + */ + public getBuffer(): LiveDataBuffer { + throw new Error( + "Method not implemented. Maybe it shouldn't be, what buffer are you expecting? Is it the buffer for the reference store, which do not contain smoothed data? Or do you expect a buffer for smoothed data as well? Please do write on the github issues, if the need arises", + ); + } + + /** + * Returns the series size of the refence LiveData store. + */ + public getSeriesSize(): number { + return this.referenceStore.getSeriesSize(); + } + + public subscribe( + run: Subscriber, + invalidate?: ((value?: LiveDataVector | undefined) => void) | undefined, + ): Unsubscriber { + return this.smoothedStore.subscribe(run, invalidate); + } + + /** + * Returns the labels associated with the refence store. + */ + public getLabels(): string[] { + return this.referenceStore.getLabels(); + } + + /** + * Uses the buffer of the original store to derive a store with smoothed values when subscribing + */ + private deriveStore(): Readable { + return derived([this.referenceStore], stores => { + const referenceData = stores[0]; + + const oldValues = this.referenceStore.getBuffer().getNewestValues(this.noOfSamples); + if (oldValues.some(val => val === null)) { + // Theres not enough data in the buffer yet. + return referenceData; + } + + const newVector: LiveDataVector = new BaseVector( + [...referenceData.getVector()], + referenceData.getLabels(), + ); + + for (let i = 0; i < newVector.getVector().length; i++) { + const values = oldValues.map(val => val!.getVector()[i]); + newVector.getVector()[i] = smoothNewValue(...values); + } + return newVector; + }); + } +} + +export default SmoothedLiveData; diff --git a/src/script/microbit-interfacing/MBSpecs.ts b/src/script/microbit-interfacing/MBSpecs.ts index a1edbdea6..f6c69b534 100644 --- a/src/script/microbit-interfacing/MBSpecs.ts +++ b/src/script/microbit-interfacing/MBSpecs.ts @@ -4,9 +4,6 @@ * SPDX-License-Identifier: MIT */ -import { isatty } from 'tty'; -import MicrobitBluetooth from './MicrobitBluetooth'; - /* eslint-disable @typescript-eslint/no-namespace */ /** * References to the Bluetooth Profile UUIDs. @@ -106,7 +103,10 @@ namespace MBSpecs { /** * The buttons on the micro:bit. */ - export type Button = 'A' | 'B'; + export enum Button { + A, + B, + } export type MBVersion = 1 | 2; @@ -228,6 +228,7 @@ namespace MBSpecs { ); // TODO: Next line has been observed to fail. Proper error handling needed. + // Triage the issue, if no cause can be found please remove this todo. const modelNumber = await deviceInfo.getCharacteristic( Characteristics.MODEL_NUMBER, ); @@ -246,7 +247,6 @@ namespace MBSpecs { } catch (e) { console.log(e); } - // Something went wrong throw new Error('Could not read model number'); } diff --git a/src/script/microbit-interfacing/MicrobitBluetooth.ts b/src/script/microbit-interfacing/MicrobitBluetooth.ts index aa6019103..b1e0c04e2 100644 --- a/src/script/microbit-interfacing/MicrobitBluetooth.ts +++ b/src/script/microbit-interfacing/MicrobitBluetooth.ts @@ -4,7 +4,9 @@ * SPDX-License-Identifier: MIT */ +import Environment from '../Environment'; import TypingUtils from '../TypingUtils'; +import Logger from '../utils/Logger'; import MBSpecs from './MBSpecs'; /** @@ -56,7 +58,7 @@ export class MicrobitBluetooth { * Adds a listener for the 'gattserverdisconnected' event. * @param {Event => void} callback The function to execute. */ - public listenForDisconnect(callback: (event: Event) => any): void { + public listenForDisconnect(callback: (event: Event) => unknown): void { return this.device.addEventListener('gattserverdisconnected', callback); } @@ -64,7 +66,7 @@ export class MicrobitBluetooth { * Removes a listener for the 'gattserverdisconnected' event. * @param callback */ - public removeDisconnectListener(callback: (event: Event) => any): void { + public removeDisconnectListener(callback: (event: Event) => unknown): void { return this.device.removeEventListener('gattserverdisconnected', callback); } @@ -205,7 +207,7 @@ export class MicrobitBluetooth { // Select the correct characteristic to listen to. const UUID = - buttonToListenFor === 'A' + buttonToListenFor === MBSpecs.Button.A ? MBSpecs.Characteristics.BUTTON_A : MBSpecs.Characteristics.BUTTON_B; const buttonCharacteristic: BluetoothRemoteGATTCharacteristic = @@ -277,8 +279,9 @@ export class MicrobitBluetooth { * @param matrix The matrix to display. */ public async setLEDMatrix(matrix: unknown[][]): Promise { - if (matrix.length !== 5 || matrix[0].length !== 5) + if (matrix.length !== 5 || matrix[0].length !== 5) { throw new Error('Matrix must be 5x5'); + } // To match overloads we must cast the matrix to a number[][] let numMatrix = matrix as number[][]; @@ -301,18 +304,24 @@ export class MicrobitBluetooth { /** * Reference for the disconnect listener. Makes it easier to remove it again later. - * @param {Event} event The disconnect event + * @param {Event} _event The disconnect event * @private */ - private disconnectListener(event: Event): void { - this.device - .gatt!.connect() - .then(() => { - this.onReconnect?.(this); - }) - .catch(() => { - void this.onReconnectFailed(); - }); + private disconnectListener(_event: Event): void { + if (this.device.gatt) { + this.device.gatt + .connect() + .then(() => { + this.onReconnect?.(this); + }) + .catch(e => { + Logger.log('MicrobitBluetooth', e); + void this.onReconnectFailed(); + }); + } else { + Environment.isInDevelopment && console.error('No gatt server found!'); + } + this.disconnectEventHandler(false); } @@ -332,14 +341,17 @@ export class MicrobitBluetooth { * Fired if the request failed. */ public static async requestDevice( - name: string, onRequestFailed: (e: Error) => void, + name?: string, ): Promise { return new Promise((resolve, reject) => { + const filters = name + ? [{ namePrefix: `BBC micro:bit [${name}]` }] + : [{ namePrefix: `BBC micro:bit` }]; try { navigator.bluetooth .requestDevice({ - filters: [{ namePrefix: `BBC micro:bit [${name}]` }], + filters: filters, optionalServices: [ MBSpecs.Services.UART_SERVICE, MBSpecs.Services.ACCEL_SERVICE, @@ -352,8 +364,12 @@ export class MicrobitBluetooth { .then(btDevice => { resolve(btDevice); }) - .catch(e => reject(e)); + .catch(e => { + Environment.isInDevelopment && console.error(e); + reject(e); + }); } catch (e: unknown) { + Environment.isInDevelopment && console.error(e); onRequestFailed(e as Error); reject(e); } @@ -420,7 +436,7 @@ export class MicrobitBluetooth { try { return await this.gattServer.getPrimaryService(serviceUuid); } catch (e) { - console.log(e); + console.error(e); } throw new Error('Failed to get primary service!'); } diff --git a/src/script/microbit-interfacing/Microbits.ts b/src/script/microbit-interfacing/Microbits.ts index a68b4467b..d947d0e2d 100644 --- a/src/script/microbit-interfacing/Microbits.ts +++ b/src/script/microbit-interfacing/Microbits.ts @@ -7,16 +7,15 @@ /** * Entrypoint for the Microbit facade pattern */ -import ConnectionBehaviours from '../connection-behaviours/ConnectionBehaviours'; +import ConnectionBehaviours from './connection-behaviours/ConnectionBehaviours'; import { get, writable } from 'svelte/store'; import MBSpecs from './MBSpecs'; import MicrobitBluetooth from './MicrobitBluetooth'; import { outputting } from '../stores/uiStore'; import MicrobitUSB from './MicrobitUSB'; -import type ConnectionBehaviour from '../connection-behaviours/ConnectionBehaviour'; +import type ConnectionBehaviour from './connection-behaviours/ConnectionBehaviour'; import TypingUtils from '../TypingUtils'; import StaticConfiguration from '../../StaticConfiguration'; -import { settings } from '../stores/mlStore'; type QueueElement = { service: BluetoothRemoteGATTCharacteristic; @@ -32,7 +31,7 @@ export enum HexOrigin { type UARTMessageType = 'g' | 's'; /** - * Entry point for microbit interfaces / Facade pattern + * Entry point for microbit interfaces */ class Microbits { public static hexFiles: { 1: string; 2: string; universal: string } = { @@ -40,13 +39,13 @@ class Microbits { 2: 'firmware/MICROBIT.hex', universal: 'firmware/universal-hex.hex', }; - private static assignedInputMicrobit: MicrobitBluetooth | undefined = undefined; - private static assignedOutputMicrobit: MicrobitBluetooth | undefined = undefined; - private static inputName: string | undefined = undefined; - private static outputName: string | undefined = undefined; + private static assignedInputMicrobit: MicrobitBluetooth | undefined; + private static assignedOutputMicrobit: MicrobitBluetooth | undefined; + private static inputName: string | undefined; + private static outputName: string | undefined; private static inputVersion: MBSpecs.MBVersion | undefined; private static outputVersion: MBSpecs.MBVersion | undefined; - private static linkedMicrobit: MicrobitUSB | undefined = undefined; + private static linkedMicrobit: MicrobitUSB | undefined; private static outputIO: BluetoothRemoteGATTCharacteristic | undefined; private static outputMatrix: BluetoothRemoteGATTCharacteristic | undefined; @@ -58,13 +57,11 @@ class Microbits { private static outputOrigin = HexOrigin.UNKNOWN; private static inputOrigin = HexOrigin.UNKNOWN; - private static inputBuildVersion: number | undefined = undefined; - private static outputBuildVersion: number | undefined = undefined; + private static inputBuildVersion: number | undefined; + private static outputBuildVersion: number | undefined; - private static inputVersionIdentificationTimeout: NodeJS.Timeout | undefined = - undefined; - private static outputVersionIdentificationTimeout: NodeJS.Timeout | undefined = - undefined; + private static inputVersionIdentificationTimeout: NodeJS.Timeout | undefined; + private static outputVersionIdentificationTimeout: NodeJS.Timeout | undefined; /** * Maps pin to the number of times, it has been asked to turn on. @@ -172,6 +169,117 @@ class Microbits { return this.assignedOutputMicrobit; } + /** + * Attempts to assign and connect via bluetooth. + * @param name The expected name of the microbit. + * @return Returns true if the connection was successful, else false. + */ + public static async assignInputNoName(): Promise { + // This function is long, and ought to be split up to make it easier to understand, but this is the short explanation + // The goal is to save a MicrobitBluetooth instance to the field this.assignedInputMicrobit. + // To do this we create a bluetooth connection, `MicrobitBluetooth.createMicrobitBluetooth` + // This function needs a lot of callbacks to handle behaviours for connection, reconnection, disconnection, etc. + // These callbacks are what makes this function so long, as they are dependent on the state of the application + const connectionBehaviour = ConnectionBehaviours.getInputBehaviour(); + + const onInitialInputConnect = (microbit: MicrobitBluetooth) => { + this.assignedInputMicrobit = microbit; + + connectionBehaviour.onConnected(); + Microbits.listenToInputServices() + .then(() => { + connectionBehaviour.onReady(); + }) + .catch(reason => { + console.log(reason); + }); + }; + + const onInputDisconnect = (manual?: boolean) => { + this.inputBuildVersion = undefined; + if (this.isInputOutputTheSame()) { + ConnectionBehaviours.getOutputBehaviour().onDisconnected(); + } + if (manual) { + if (this.isInputAssigned()) { + ConnectionBehaviours.getInputBehaviour().onExpelled(manual, true); + ConnectionBehaviours.getOutputBehaviour().onExpelled(manual, true); + this.clearAssignedOutputReference(); + this.clearAssignedInputReference(); + } + } else { + connectionBehaviour.onDisconnected(); + // this.isInputReconnecting = true; // We dont offer reconnect, because dont have a name + } + this.clearBluetoothServiceActionQueue(); + }; + + const onInputReconnect = (microbit: MicrobitBluetooth) => { + this.isInputReconnecting = false; + if (this.inputFlaggedForDisconnect) { + // User has disconnected during the reconnect process, + // and the connection was reestablished, disconnect safely + void this.disconnectInputSafely(microbit); + this.inputFlaggedForDisconnect = false; + return; + } + this.assignedInputMicrobit = microbit; + if (this.isInputOutputTheSame()) { + ConnectionBehaviours.getOutputBehaviour().onConnected(); + } + connectionBehaviour.onConnected(); + Microbits.listenToInputServices() + .then(() => { + clearTimeout(this.inputVersionIdentificationTimeout); + if (this.isInputOutputTheSame()) { + this.assignedOutputMicrobit = microbit; + Microbits.listenToOutputServices() + .then(() => { + clearTimeout(this.outputVersionIdentificationTimeout); + connectionBehaviour.onReady(); + ConnectionBehaviours.getOutputBehaviour().onReady(); + }) + .catch(reason => { + console.error(reason); + }); + } else { + connectionBehaviour.onReady(); + } + }) + .catch(reason => { + console.error(reason); + }); + }; + + const onInputReconnectFailed = () => { + ConnectionBehaviours.getInputBehaviour().onExpelled(false, true); + ConnectionBehaviours.getOutputBehaviour().onExpelled(false, true); + this.clearAssignedOutputReference(); + }; + + try { + const request = await MicrobitBluetooth.requestDevice( + this.onFailedConnection(connectionBehaviour), + ); + await MicrobitBluetooth.createMicrobitBluetooth( + request, + onInitialInputConnect, + onInputDisconnect, + this.onFailedConnection(connectionBehaviour), + onInputReconnect, + onInputReconnectFailed, + ); + + connectionBehaviour.onAssigned(this.getInput()); + this.inputVersion = this.getInput().getVersion(); + return true; + } catch (e) { + console.error(e); + this.onFailedConnection(connectionBehaviour)(e as Error); + } + return false; + } + /** * Attempts to assign and connect via bluetooth. * @param name The expected name of the microbit. @@ -249,14 +357,14 @@ class Microbits { ConnectionBehaviours.getOutputBehaviour().onReady(); }) .catch(reason => { - console.log(reason); + console.error(reason); }); } else { connectionBehaviour.onReady(); } }) .catch(reason => { - console.log(reason); + console.error(reason); }); }; @@ -268,8 +376,8 @@ class Microbits { try { const request = await MicrobitBluetooth.requestDevice( - name, this.onFailedConnection(connectionBehaviour), + name, ); await MicrobitBluetooth.createMicrobitBluetooth( request, @@ -285,7 +393,7 @@ class Microbits { this.inputVersion = this.getInput().getVersion(); return true; } catch (e) { - console.log(e); + console.error(e); this.onFailedConnection(connectionBehaviour)(e as Error); } return false; @@ -299,8 +407,8 @@ class Microbits { */ private static async disconnectInputSafely(microbit: MicrobitBluetooth): Promise { await microbit.listenToAccelerometer(TypingUtils.emptyFunction); - await microbit.listenToButton('A', TypingUtils.emptyFunction); - await microbit.listenToButton('B', TypingUtils.emptyFunction); + await microbit.listenToButton(MBSpecs.Button.A, TypingUtils.emptyFunction); + await microbit.listenToButton(MBSpecs.Button.B, TypingUtils.emptyFunction); microbit.disconnect(); } @@ -313,14 +421,18 @@ class Microbits { connectionBehaviour.accelerometerChange.bind(connectionBehaviour), ); await this.getInput().listenToButton( - 'A', + MBSpecs.Button.A, connectionBehaviour.buttonChange.bind(connectionBehaviour), ); await this.getInput().listenToButton( - 'B', + MBSpecs.Button.B, connectionBehaviour.buttonChange.bind(connectionBehaviour), ); - await this.getInput().listenToUART(data => this.inputUartHandler(data)); + try { + await this.getInput().listenToUART(data => this.inputUartHandler(data)); + } catch (error) { + console.error(error); + } this.inputVersionIdentificationTimeout = setTimeout(() => { connectionBehaviour.onIdentifiedAsOutdated(); }, StaticConfiguration.versionIdentificationTimeoutDuration); @@ -341,7 +453,89 @@ class Microbits { this.outputVersionIdentificationTimeout = setTimeout(() => { connectionBehaviour.onIdentifiedAsOutdated(); }, StaticConfiguration.versionIdentificationTimeoutDuration); - await this.getOutput().listenToUART(data => this.outputUartHandler(data)); + try { + await this.getOutput().listenToUART(data => this.outputUartHandler(data)); + } catch (error) { + console.error(error); + } + } + + /** + * Attempts to assign and connect via bluetooth. + * @param name The expected name of the microbit. + * @return Returns true if the connection was successful, else false. + */ + public static async assignOutputNoName(): Promise { + const connectionBehaviour: ConnectionBehaviour = + ConnectionBehaviours.getOutputBehaviour(); + + const onInitialOutputConnect = (microbit: MicrobitBluetooth) => { + this.assignedOutputMicrobit = microbit; + connectionBehaviour.onConnected(); + this.listenToOutputServices() + .then(() => { + connectionBehaviour.onReady(); + }) + .catch(e => { + console.log(e); + }); + }; + + const onOutputDisconnect = (manual?: boolean) => { + this.outputBuildVersion = undefined; + if (manual) { + if (this.isOutputAssigned()) { + ConnectionBehaviours.getOutputBehaviour().onExpelled(manual); + this.clearAssignedOutputReference(); + } + } else { + // this.isOutputReconnecting = true; // We dont offer reconnection for no-named connections + ConnectionBehaviours.getOutputBehaviour().onDisconnected(); + } + this.clearBluetoothServiceActionQueue(); + }; + + const onOutputReconnect = (microbit: MicrobitBluetooth) => { + this.isOutputReconnecting = false; + if (this.outputFlaggedForDisconnect) { + this.outputFlaggedForDisconnect = false; + void this.disconnectOutputSafely(microbit); + return; + } + this.assignedOutputMicrobit = microbit; + connectionBehaviour.onConnected(); + this.listenToOutputServices() + .then(() => { + connectionBehaviour.onReady(); + }) + .catch(e => { + console.log(e); + }); + }; + + const onOutputReconnectFailed = () => { + connectionBehaviour.onExpelled(false, false); + }; + + try { + const bluetoothDevice = await MicrobitBluetooth.requestDevice( + this.onFailedConnection(connectionBehaviour), + ); + await MicrobitBluetooth.createMicrobitBluetooth( + bluetoothDevice, + onInitialOutputConnect, + onOutputDisconnect, + this.onFailedConnection(connectionBehaviour), + onOutputReconnect, + onOutputReconnectFailed, + ); + connectionBehaviour.onAssigned(this.getOutput()); + this.outputVersion = this.getOutput().getVersion(); + return true; + } catch (e) { + this.onFailedConnection(connectionBehaviour)(e as Error); + } + return false; } /** @@ -405,8 +599,8 @@ class Microbits { try { const bluetoothDevice = await MicrobitBluetooth.requestDevice( - name, this.onFailedConnection(connectionBehaviour), + name, ); await MicrobitBluetooth.createMicrobitBluetooth( bluetoothDevice, @@ -693,11 +887,6 @@ class Microbits { 'No input microbit has be defined! Please check that it is connected before using it', ); } - if (!this.inputName) { - throw new Error( - 'Something went wrong. Input microbit was specified, but without name!', - ); - } this.assignedOutputMicrobit = this.getInput(); this.outputName = this.inputName; this.outputVersion = this.inputVersion; @@ -995,7 +1184,7 @@ class Microbits { .catch(err => { // Catches a characteristic not found error, preventing further output. // Why does this happens is not clear - console.log(err); + console.error(err); if (err) { if ((err as DOMException).message.includes('GATT Service no longer exists')) { this.listenToOutputServices() @@ -1009,6 +1198,7 @@ class Microbits { }); } } + get(this.bluetoothServiceActionQueue).busy = false; this.processServiceActionQueue(); }); diff --git a/src/script/connection-behaviours/ConnectionBehaviour.ts b/src/script/microbit-interfacing/connection-behaviours/ConnectionBehaviour.ts similarity index 89% rename from src/script/connection-behaviours/ConnectionBehaviour.ts rename to src/script/microbit-interfacing/connection-behaviours/ConnectionBehaviour.ts index 38c656af8..58a9a241d 100644 --- a/src/script/connection-behaviours/ConnectionBehaviour.ts +++ b/src/script/microbit-interfacing/connection-behaviours/ConnectionBehaviour.ts @@ -4,8 +4,8 @@ * SPDX-License-Identifier: MIT */ -import type MicrobitBluetooth from '../microbit-interfacing/MicrobitBluetooth'; -import MBSpecs from '../microbit-interfacing/MBSpecs'; +import type MicrobitBluetooth from '../MicrobitBluetooth'; +import MBSpecs from '../MBSpecs'; /** * Contract for the behaviour of micro:bit connections. @@ -35,13 +35,13 @@ interface ConnectionBehaviour { * @param {string} name * The name of the micro:bit. */ - onAssigned(microbit: MicrobitBluetooth, name: string): void; + onAssigned(microbit: MicrobitBluetooth, name?: string): void; /** * What should happen when the micro:bit gets connected via Bluetooth * @param name Name of the micro:bit */ - onConnected(name: string): void; + onConnected(name?: string): void; /** * What should happen when the microbit is ready? diff --git a/src/script/connection-behaviours/ConnectionBehaviours.ts b/src/script/microbit-interfacing/connection-behaviours/ConnectionBehaviours.ts similarity index 100% rename from src/script/connection-behaviours/ConnectionBehaviours.ts rename to src/script/microbit-interfacing/connection-behaviours/ConnectionBehaviours.ts diff --git a/src/script/connection-behaviours/InputBehaviour.ts b/src/script/microbit-interfacing/connection-behaviours/InputBehaviour.ts similarity index 74% rename from src/script/connection-behaviours/InputBehaviour.ts rename to src/script/microbit-interfacing/connection-behaviours/InputBehaviour.ts index b08b6c90f..d55d753ed 100644 --- a/src/script/connection-behaviours/InputBehaviour.ts +++ b/src/script/microbit-interfacing/connection-behaviours/InputBehaviour.ts @@ -4,17 +4,25 @@ * SPDX-License-Identifier: MIT */ -import type MicrobitBluetooth from '../microbit-interfacing/MicrobitBluetooth'; -import { ModelView, buttonPressed, onCatastrophicError, state } from '../stores/uiStore'; -import { livedata } from '../stores/mlStore'; -import { t } from '../../i18n'; +import type MicrobitBluetooth from '../MicrobitBluetooth'; +import { + ModelView, + buttonPressed, + onCatastrophicError, + state, +} from '../../stores/uiStore'; +import { t } from '../../../i18n'; import { get } from 'svelte/store'; -import MBSpecs from '../microbit-interfacing/MBSpecs'; +import MBSpecs from '../MBSpecs'; import LoggingDecorator from './LoggingDecorator'; -import CookieManager from '../CookieManager'; -import TypingUtils from '../TypingUtils'; -import { DeviceRequestStates } from '../stores/connectDialogStore'; -import StaticConfiguration from '../../StaticConfiguration'; +import TypingUtils from '../../TypingUtils'; +import { DeviceRequestStates } from '../../stores/connectDialogStore'; +import StaticConfiguration from '../../../StaticConfiguration'; +import MicrobitAccelerometerLiveData, { + MicrobitAccelerometerDataVector, +} from '../../livedata/MicrobitAccelerometerData'; +import { stores } from '../../stores/Stores'; +import LiveDataBuffer from '../../domain/LiveDataBuffer'; let text = get(t); t.subscribe(t => (text = t)); @@ -23,10 +31,6 @@ t.subscribe(t => (text = t)); * Implementation of the input ConnectionBehaviour */ class InputBehaviour extends LoggingDecorator { - private smoothedAccelX = 0; - private smoothedAccelY = 0; - private smoothedAccelZ = 0; - private reconnectTimeout = setTimeout(TypingUtils.emptyFunction, 0); onBluetoothConnectionError(error?: unknown) { @@ -40,10 +44,13 @@ class InputBehaviour extends LoggingDecorator { onIdentifiedAsOutdated(): void { super.onIdentifiedAsOutdated(); + /* + TODO: Disabled for now as the results are unpredictable state.update(s => { s.isInputOutdated = true; return s; }); + */ } onVersionIdentified(versionNumber: number): void { @@ -72,6 +79,7 @@ class InputBehaviour extends LoggingDecorator { onReady() { super.onReady(); + clearTimeout(this.reconnectTimeout); state.update(s => { s.isInputReady = true; @@ -79,7 +87,7 @@ class InputBehaviour extends LoggingDecorator { }); } - onAssigned(microbitBluetooth: MicrobitBluetooth, name: string) { + onAssigned(microbitBluetooth: MicrobitBluetooth, name?: string) { super.onAssigned(microbitBluetooth, name); state.update(s => { s.isInputAssigned = true; @@ -121,8 +129,12 @@ class InputBehaviour extends LoggingDecorator { }); } - onConnected(name: string): void { + onConnected(name?: string): void { super.onConnected(name); + const buffer = new LiveDataBuffer( + StaticConfiguration.accelerometerLiveDataBufferSize, + ); + stores.setLiveData(new MicrobitAccelerometerLiveData(buffer)); state.update(s => { s.isInputConnected = true; @@ -134,7 +146,7 @@ class InputBehaviour extends LoggingDecorator { // Works like this: If the MB manages to connect, wait `reconnectTimeoutDuration` milliseconds // if MB does not call onReady before that expires, refresh the page clearTimeout(this.reconnectTimeout); - const onTimeout = () => onCatastrophicError(); + const onTimeout = () => onCatastrophicError(!!name); this.reconnectTimeout = setTimeout(function () { onTimeout(); }, StaticConfiguration.reconnectTimeoutDuration); @@ -146,24 +158,20 @@ class InputBehaviour extends LoggingDecorator { const accelX = x / 1000.0; const accelY = y / 1000.0; const accelZ = z / 1000.0; - this.smoothedAccelX = accelX * 0.25 + this.smoothedAccelX * 0.75; - this.smoothedAccelY = accelY * 0.25 + this.smoothedAccelY * 0.75; - this.smoothedAccelZ = accelZ * 0.25 + this.smoothedAccelZ * 0.75; - - livedata.set({ - accelX, - accelY, - accelZ, - smoothedAccelX: this.smoothedAccelX, - smoothedAccelY: this.smoothedAccelY, - smoothedAccelZ: this.smoothedAccelZ, - }); + + get(stores).liveData.put( + new MicrobitAccelerometerDataVector({ + x: accelX, + y: accelY, + z: accelZ, + }), + ); } buttonChange(buttonState: MBSpecs.ButtonState, button: MBSpecs.Button): void { super.buttonChange(buttonState, button); if (buttonState === MBSpecs.ButtonStates.Released) return; - if (button === 'A') { + if (button === MBSpecs.Button.A) { buttonPressed.update(obj => { obj.buttonA = 1; obj.buttonB = 0; diff --git a/src/script/connection-behaviours/LoggingDecorator.ts b/src/script/microbit-interfacing/connection-behaviours/LoggingDecorator.ts similarity index 90% rename from src/script/connection-behaviours/LoggingDecorator.ts rename to src/script/microbit-interfacing/connection-behaviours/LoggingDecorator.ts index 53917aaa8..1cccc1a5d 100644 --- a/src/script/connection-behaviours/LoggingDecorator.ts +++ b/src/script/microbit-interfacing/connection-behaviours/LoggingDecorator.ts @@ -4,10 +4,10 @@ * SPDX-License-Identifier: MIT */ -import MicrobitBluetooth from '../microbit-interfacing/MicrobitBluetooth'; -import MBSpecs from '../microbit-interfacing/MBSpecs'; +import MicrobitBluetooth from '../MicrobitBluetooth'; +import MBSpecs from '../MBSpecs'; import type ConnectionBehaviour from './ConnectionBehaviour'; -import Environment from '../Environment'; +import Environment from '../../Environment'; /** * Used for logging / Decorator pattern @@ -61,7 +61,7 @@ abstract class LoggingDecorator implements ConnectionBehaviour { this.enableLogging && console.log('Button change', buttonState, button); } - onAssigned(microbit: MicrobitBluetooth, name: string): void { + onAssigned(microbit: MicrobitBluetooth, name?: string): void { this.enableLogging && console.log(name, ' was assigned '); this.enableLogging && console.log(microbit); } @@ -70,7 +70,7 @@ abstract class LoggingDecorator implements ConnectionBehaviour { this.enableLogging && console.log('Device request was cancelled'); } - onConnected(name: string): void { + onConnected(name?: string): void { this.enableLogging && console.log(name, ' got connected via bluetooth'); } diff --git a/src/script/connection-behaviours/OutputBehaviour.ts b/src/script/microbit-interfacing/connection-behaviours/OutputBehaviour.ts similarity index 84% rename from src/script/connection-behaviours/OutputBehaviour.ts rename to src/script/microbit-interfacing/connection-behaviours/OutputBehaviour.ts index a6a6a55f7..71a042981 100644 --- a/src/script/connection-behaviours/OutputBehaviour.ts +++ b/src/script/microbit-interfacing/connection-behaviours/OutputBehaviour.ts @@ -4,17 +4,17 @@ * SPDX-License-Identifier: MIT */ -import MicrobitBluetooth from '../microbit-interfacing/MicrobitBluetooth'; -import { ModelView, onCatastrophicError, state } from '../stores/uiStore'; -import { t } from '../../i18n'; +import MicrobitBluetooth from '../MicrobitBluetooth'; +import { ModelView, onCatastrophicError, state } from '../../stores/uiStore'; +import { t } from '../../../i18n'; import { get } from 'svelte/store'; -import MBSpecs from '../microbit-interfacing/MBSpecs'; +import MBSpecs from '../MBSpecs'; import LoggingDecorator from './LoggingDecorator'; -import CookieManager from '../CookieManager'; -import TypingUtils from '../TypingUtils'; -import { DeviceRequestStates } from '../stores/connectDialogStore'; -import Microbits from '../microbit-interfacing/Microbits'; -import StaticConfiguration from '../../StaticConfiguration'; +import CookieManager from '../../CookieManager'; +import TypingUtils from '../../TypingUtils'; +import { DeviceRequestStates } from '../../stores/connectDialogStore'; +import Microbits from '../Microbits'; +import StaticConfiguration from '../../../StaticConfiguration'; let text = get(t); t.subscribe(t => (text = t)); @@ -33,10 +33,13 @@ class OutputBehaviour extends LoggingDecorator { onIdentifiedAsOutdated(): void { super.onIdentifiedAsOutdated(); + /* + TODO: Disabled for now as the results are unpredictable state.update(s => { s.isOutputOutdated = true; return s; }); + */ } onVersionIdentified(versionNumber: number): void { @@ -92,7 +95,7 @@ class OutputBehaviour extends LoggingDecorator { clearTimeout(this.reconnectTimeout); } - onAssigned(microbitBluetooth: MicrobitBluetooth, name: string) { + onAssigned(microbitBluetooth: MicrobitBluetooth, name?: string) { super.onAssigned(microbitBluetooth, name); state.update(s => { s.isOutputAssigned = true; @@ -132,7 +135,7 @@ class OutputBehaviour extends LoggingDecorator { return; } - onConnected(name: string): void { + onConnected(name?: string): void { super.onConnected(name); state.update(s => { @@ -144,7 +147,7 @@ class OutputBehaviour extends LoggingDecorator { // Reset connection reconnectTimeoutTime clearTimeout(this.reconnectTimeout); - const onTimeout = () => onCatastrophicError(); + const onTimeout = () => onCatastrophicError(!!name); this.reconnectTimeout = setTimeout(function () { onTimeout(); }, StaticConfiguration.reconnectTimeoutDuration); diff --git a/src/script/ml.ts b/src/script/ml.ts deleted file mode 100644 index 339eb71dc..000000000 --- a/src/script/ml.ts +++ /dev/null @@ -1,330 +0,0 @@ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ - -import { alertUser, state } from './stores/uiStore'; -import { - bestPrediction, - gestureConfidences, - type GestureData, - getPrevData, - model, - settings, - TrainingStatus, - trainingStatus, -} from './stores/mlStore'; -import { FilterType, Axes, determineFilter, AxesType } from './datafunctions'; -import { get, type Unsubscriber } from 'svelte/store'; -import { t } from '../i18n'; -import * as tf from '@tensorflow/tfjs'; -import { LayersModel, SymbolicTensor, Tensor } from '@tensorflow/tfjs'; -import Gestures from './Gestures'; -import { gestures } from './stores/Stores'; -import Repositories from './Repositories'; - -let text: (key: string, vars?: object) => string; -t.subscribe(t => (text = t)); - -// Whenever model is trained, the settings at the time is saved in this variable -// Such that prediction continues on with the same settings as during training -let modelSettings: { axes: AxesType[]; filters: Set }; - -// Hacky "timer" to pad the training time if needed -let trainingTimerPromise: Promise; - -// Add parameter to allow unsubscribing from store, when predicting ends. -// Prevents memory leak. -let unsubscribeFromSettings: Unsubscriber | undefined = undefined; - -// Variable for accessing the predictionInterval -let predictionInterval: NodeJS.Timeout | undefined = undefined; - -function createModel(): LayersModel { - const gestureData = get(gestures); - const numberOfClasses: number = gestureData.length; - const inputShape = [ - get(settings).includedFilters.size * get(settings).includedAxes.length, - ]; - - const input = tf.input({ shape: inputShape }); - const normalizer = tf.layers.batchNormalization().apply(input); - const dense = tf.layers.dense({ units: 16, activation: 'relu' }).apply(normalizer); - const softmax = tf.layers - .dense({ units: numberOfClasses, activation: 'softmax' }) - .apply(dense) as SymbolicTensor; - const model = tf.model({ inputs: input, outputs: softmax }); - - model.compile({ - loss: 'categoricalCrossentropy', - optimizer: tf.train.sgd(0.5), - metrics: ['accuracy'], - }); - - return model; -} - -export function trainModel() { - state.update(obj => { - obj.isTraining = true; - return obj; - }); - if (!isTrainingAllowed()) { - state.update(obj => { - obj.isTraining = false; - return obj; - }); - return; - } - - // Freeze modelSetting untill next training - modelSettings = { - axes: get(settings).includedAxes, - filters: get(settings).includedFilters, - }; - - // Fetch data - const gestureData = get(gestures); - const features: Array = []; - const labels: Array = []; - const numberofClasses: number = gestureData.length; - - gestureData.forEach((MLClass, index) => { - MLClass.recordings.forEach(recording => { - // prepare features - const inputs: number[] = makeInputs(recording.data); - features.push(inputs); - - // Prepare labels - const label: number[] = new Array(numberofClasses) as number[]; - label.fill(0, 0, numberofClasses); - label[index] = 1; - labels.push(label); - }); - }); - - const tensorFeatures = tf.tensor(features); - const tensorLabels = tf.tensor(labels); - - const nn: LayersModel = createModel(); - - trainingTimerPromise = new Promise(resolve => { - setTimeout(() => { - resolve(true); - }, 2500); - // Promise resolves after 2.5 sec, making training take at least 2.5 sec from users perspective - // See "finishedTraining" function to see how this works - }); - - const onTrainEnd = () => finishedTraining(); - - nn.fit(tensorFeatures, tensorLabels, { - epochs: get(settings).numEpochs, - batchSize: 16, - validationSplit: 0.1, - callbacks: { onTrainEnd }, // onEpochEnd <-- use this to make loading animation - }).catch(err => { - trainingStatus.set(TrainingStatus.Failure); - console.error('tensorflow training process failed:', err); - }); - trainingStatus.set(TrainingStatus.Success); - model.set(nn); -} - -export function isParametersLegal(): boolean { - const s = get(settings); - return s.includedAxes.length > 0 && s.includedFilters.size > 0; -} - -// Assess whether -function isTrainingAllowed(messageUser = true) { - const gestureData = get(gestures); - - // If less than two gestures - if (!gestureData || gestureData.length < 2) { - if (messageUser) { - alertUser(text('alert.twoGestures')); - } - return false; - } - - // If parameters aren't legal - if (!isParametersLegal()) { - if (messageUser) { - alertUser(text('alert.oneDataRepresentation')); - } - return false; - } - - // If gestures have less than three recordings per gesture. - if (!sufficientGestureData(gestureData, messageUser)) { - return false; - } - - return true; -} - -// Assess whether each gesture has sufficient data. (Limited by three) -export function sufficientGestureData(gestureData: GestureData[], messageUser: boolean) { - let sufficientData = true; - gestureData.forEach(gesture => { - if (gesture.recordings.length < 3) { - if (messageUser) { - alertUser(text('alert.recordingsPerGesture')); - } - sufficientData = false; - } - }); - return sufficientData; -} - -// Set state to not-Training and initiate prediction. -function finishedTraining() { - // Wait for promise to resolve, to ensure a minimum of 2.5 sec of training from users perspective - void trainingTimerPromise.then(() => { - state.update(obj => { - obj.isTraining = false; - return obj; - }); - setupPredictionInterval(); - }); -} - -// makeInput reduces array of x, y and z inputs to a single number array with values. -// Depending on user settings. There will be anywhere between 1-24 parameters in - -function makeInputs(sample: { x: number[]; y: number[]; z: number[] }): number[] { - const dataRep: number[] = []; - - if (!modelSettings) { - throw new Error('Model settings not found'); - } - - // We use modelSettings to determine which filters to use. In this way the classify function - // will be called with the same filters and axes untill the next training - modelSettings.filters.forEach(filter => { - const filterOutput = determineFilter(filter); - if (modelSettings.axes.includes(Axes.X)) - dataRep.push(filterOutput.computeOutput(sample.x)); - if (modelSettings.axes.includes(Axes.Y)) - dataRep.push(filterOutput.computeOutput(sample.y)); - if (modelSettings.axes.includes(Axes.Z)) - dataRep.push(filterOutput.computeOutput(sample.z)); - }); - - return dataRep; -} - -// Set the global state. Telling components, that the program is predicting -function setIsPredicting(isPredicting: boolean): void { - state.update(s => { - s.isPredicting = isPredicting; - return s; - }); -} - -// Setup prediction. Listens for user-settings (Updates pr second). -// Whenever this changes, the updatesPrSecond also changes. -function setupPredictionInterval(): void { - // Set state and fetch updatesPrSecond. - setIsPredicting(true); - const updatesPrSecond = get(settings).updatesPrSecond; - - const classifyAutomatically = get(settings).automaticClassification; - - if (classifyAutomatically) { - predictionInterval = setInterval(classify, 1000 / updatesPrSecond); - } - - // When user changes settings - unsubscribeFromSettings = settings.subscribe(update => { - // Only if the updatesPrSecond changed or buttons changed - // TODO: Change to early exit structure - if ( - update.updatesPrSecond !== updatesPrSecond || - update.automaticClassification !== classifyAutomatically - ) { - if (predictionInterval !== undefined) { - clearInterval(predictionInterval); - } - predictionInterval = undefined; - setupPredictionInterval(); - } - }); -} - -// Classify data -export function classify() { - // Get currentState to check whether the prediction has been interrupted by other processes - const currentState = get(state); - const currentTrainingStatus = get(trainingStatus); - const hasBeenInterrupted = - !currentState.isPredicting || - currentState.isRecording || - currentState.isTraining || - currentTrainingStatus !== TrainingStatus.Success; - - if (hasBeenInterrupted) { - if (predictionInterval !== undefined) { - clearInterval(predictionInterval); - } - predictionInterval = undefined; - setIsPredicting(false); - unsubscribeFromSettings?.(); - // if (unsubscribeFromSettings) unsubscribeFromSettings(); - return; - } - - if (!currentState.isInputConnected) return; - - // Get formatted version of previous data - const data = getPrevData(); - if (data === undefined) - throw new Error('Unsufficient amount of data to make prediction'); - const input: number[] = makeInputs(data); - const inputTensor = tf.tensor([input]); - const prediction: Tensor = get(model).predict(inputTensor) as Tensor; - prediction - .data() - .then(data => { - tfHandlePrediction(data as Float32Array); - }) - .catch(err => console.error('Prediction error:', err)); -} - -function tfHandlePrediction(result: Float32Array) { - let bestConfidence = 0; - let bestGestureID: number | undefined = undefined; - - const gestureData = get(gestures); - - gestureData.forEach(({ ID }, index) => { - Repositories.getInstance() - .getModelRepository() - .setGestureConfidence(ID, result[index]); - - gestureConfidences.update(confidenceMap => { - confidenceMap[ID] = result[index]; - return confidenceMap; - }); - - if (result[index] > bestConfidence) { - bestConfidence = result[index]; - bestGestureID = ID; - } - }); - - for (const gesture of get(gestures)) { - if (gesture.ID === bestGestureID) { - bestPrediction.set({ - ...gesture, - confidence: { - currentConfidence: bestConfidence, - requiredConfidence: gesture.confidence.requiredConfidence, - isConfident: gesture.confidence.isConfident, - }, - }); - } - } -} \ No newline at end of file diff --git a/src/script/mlmodels/AccelerometerClassifierInput.ts b/src/script/mlmodels/AccelerometerClassifierInput.ts new file mode 100644 index 000000000..0b7a63269 --- /dev/null +++ b/src/script/mlmodels/AccelerometerClassifierInput.ts @@ -0,0 +1,46 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { get } from 'svelte/store'; +import ClassifierInput from '../domain/ClassifierInput'; +import Filters from '../domain/Filters'; +import { highlightedAxis } from '../stores/uiStore'; +import Axes from '../domain/Axes'; + +class AccelerometerClassifierInput implements ClassifierInput { + constructor( + private xs: number[], + private ys: number[], + private zs: number[], + ) {} + + public getInput(filters: Filters): number[] { + // TODO: Bad! How should we go about deciding what axes are provided for prediction when axes are highlighted? + const axis = get(highlightedAxis); + if (axis) { + if (axis === Axes.X) { + return [...filters.compute(this.xs)]; + } + if (axis === Axes.Y) { + return [...filters.compute(this.ys)]; + } + if (axis === Axes.Z) { + return [...filters.compute(this.zs)]; + } + } + + return [ + ...filters.compute(this.xs), + ...filters.compute(this.ys), + ...filters.compute(this.zs), + ]; + } + + public getNumberOfSamples(): number { + return this.xs.length; // Assuming all axes have the same length + } +} + +export default AccelerometerClassifierInput; diff --git a/src/script/mlmodels/KNNMLModel.ts b/src/script/mlmodels/KNNMLModel.ts new file mode 100644 index 000000000..099677fc6 --- /dev/null +++ b/src/script/mlmodels/KNNMLModel.ts @@ -0,0 +1,40 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { tensor } from '@tensorflow/tfjs'; +import MLModel from '../domain/MLModel'; +import * as knnClassifier from '@tensorflow-models/knn-classifier'; + +class KNNMLModel implements MLModel { + constructor( + private model: knnClassifier.KNNClassifier, + private k: number, + ) {} + public async predict(filteredData: number[]): Promise { + const inputTensor = tensor(filteredData); + + try { + // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment, @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-call + const prediction = await this.model.predictClass(inputTensor, this.k); + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access + const classes = Object.getOwnPropertyNames(prediction.confidences); + const confidences: number[] = []; + + for (let i = 0; i < classes.length; i++) { + const clazz = classes[i]; + // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment, @typescript-eslint/no-unsafe-member-access + const confidence = prediction.confidences[clazz]; + confidences.push(confidence as number); + } + + return Promise.resolve(confidences); + } catch (err) { + console.error('Prediction error: ', err); + return Promise.reject(err); + } + } +} + +export default KNNMLModel; diff --git a/src/script/mlmodels/KNNModelTrainer.ts b/src/script/mlmodels/KNNModelTrainer.ts new file mode 100644 index 000000000..f1993f18a --- /dev/null +++ b/src/script/mlmodels/KNNModelTrainer.ts @@ -0,0 +1,41 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import ModelTrainer, { TrainingData } from '../domain/ModelTrainer'; +import KNNMLModel from './KNNMLModel'; +import * as tf from '@tensorflow/tfjs'; +import * as knnClassifier from '@tensorflow-models/knn-classifier'; + +/** + * Trains a K-Nearest Neighbour model + */ +class KNNModelTrainer implements ModelTrainer { + // TODO: dataFilterer is mostly for the highlighted axis use-case, should it be more generic, or stay here? + constructor( + private k: number, + private dataFilterer?: (allData: TrainingData) => TrainingData, + ) {} + public trainModel(trainingData: TrainingData): Promise { + // eslint-disable-next-line @typescript-eslint/no-unsafe-assignment, @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-call + const knn: knnClassifier.KNNClassifier = knnClassifier.create(); + + if (this.dataFilterer) { + trainingData = this.dataFilterer(trainingData); + } + + console.log(trainingData); + trainingData.classes.forEach((gestureClass, index) => { + gestureClass.samples.forEach(sample => { + const example: tf.Tensor = tf.tensor(sample.value); + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access, @typescript-eslint/no-unsafe-call + knn.addExample(example, index); + }); + }); + + return Promise.resolve(new KNNMLModel(knn, this.k)); + } +} + +export default KNNModelTrainer; diff --git a/src/script/mlmodels/KNNNonNormalizedMLModel.ts b/src/script/mlmodels/KNNNonNormalizedMLModel.ts new file mode 100644 index 000000000..a91b252c3 --- /dev/null +++ b/src/script/mlmodels/KNNNonNormalizedMLModel.ts @@ -0,0 +1,61 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import MLModel from '../domain/MLModel'; +import { Point3D, distanceBetween } from '../utils/graphUtils'; + +export type LabelledPoint = { + classIndex: number; +} & Point3D; + +/** + * Represents a KNN model, in which points are not normalized and retain their raw values + */ +class KNNNonNormalizedMLModel implements MLModel { + constructor( + private k: number, + private noOfClasses: number, + private points: LabelledPoint[], + ) {} + + predict(filteredData: number[]): Promise { + // Transform live-data to Point3D type + const predictedPoint: Point3D = this.getPredictedPoint(filteredData); + + // Sort points by distance to live-data point + const orderedPoints = [...this.points]; + orderedPoints.sort((a, b) => { + const aDist = distanceBetween(predictedPoint, a); + const bDist = distanceBetween(predictedPoint, b); + return aDist - bDist; + }); + + // Find the nearest gesture class indices + const neighbours = []; + for (let i = 0; i < this.k; i++) { + const neighbour = orderedPoints[i]; + neighbours.push(neighbour.classIndex); + } + + // Compute the confidences and create the confidences array. + const confidences = []; + for (let i = 0; i < this.noOfClasses; i++) { + confidences.push(neighbours.filter(e => e === i).length / this.k); + } + + return Promise.resolve(confidences); + } + + private getPredictedPoint(filteredData: number[]): Point3D { + return { + x: filteredData[0], + y: filteredData[1], + z: filteredData.length > 2 ? filteredData[2] : 0, + }; + } +} + +export default KNNNonNormalizedMLModel; diff --git a/src/script/mlmodels/KNNNonNormalizedModelTrainer.ts b/src/script/mlmodels/KNNNonNormalizedModelTrainer.ts new file mode 100644 index 000000000..912dbe969 --- /dev/null +++ b/src/script/mlmodels/KNNNonNormalizedModelTrainer.ts @@ -0,0 +1,47 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import ModelTrainer, { TrainingData } from '../domain/ModelTrainer'; +import Logger from '../utils/Logger'; +import KNNNonNormalizedMLModel, { LabelledPoint } from './KNNNonNormalizedMLModel'; + +/** + * Trains a K-Nearest Neighbour model. Unlike the version provided by tensorflow, the points are not normalized + */ +class KNNNonNormalizedModelTrainer implements ModelTrainer { + // TODO: dataFilterer is mostly for the highlighted axis use-case, should it be more generic, or stay here? + constructor( + private k: number, + private dataFilterer?: (allData: TrainingData) => TrainingData, + ) {} + + public trainModel(trainingData: TrainingData): Promise { + Logger.log('KNNNonNormalizedModelTrainer', 'Training model'); + if (this.dataFilterer) { + Logger.log('KNNNonNormalizedModelTrainer', 'Filtering training data'); + trainingData = this.dataFilterer(trainingData); + } else { + Logger.log('KNNNonNormalizedModelTrainer', 'No data filtering'); + } + const points: LabelledPoint[] = []; + + trainingData.classes.forEach((gestureClass, labelIndex) => { + gestureClass.samples.forEach(sample => { + points.push({ + classIndex: labelIndex, + x: sample.value[0], + y: sample.value[1], + z: sample.value.length > 2 ? sample.value[2] : 0, + }); + }); + }); + + return Promise.resolve( + new KNNNonNormalizedMLModel(this.k, trainingData.classes.length, points), + ); + } +} + +export default KNNNonNormalizedModelTrainer; diff --git a/src/script/mlmodels/LayersMLModel.ts b/src/script/mlmodels/LayersMLModel.ts new file mode 100644 index 000000000..454116797 --- /dev/null +++ b/src/script/mlmodels/LayersMLModel.ts @@ -0,0 +1,26 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { LayersModel } from '@tensorflow/tfjs'; +import MLModel from '../domain/MLModel'; +import * as tf from '@tensorflow/tfjs'; + +class LayersMLModel implements MLModel { + constructor(private neuralNet: LayersModel) {} + + public async predict(filteredData: number[]): Promise { + const inputTensor = tf.tensor([filteredData]); + const prediction: tf.Tensor = this.neuralNet.predict(inputTensor) as tf.Tensor; + try { + const predictionOutput = (await prediction.data()) as Float32Array; + return Array.from(predictionOutput); + } catch (err) { + console.error('Prediction error:', err); + return Promise.reject(err); + } + } +} + +export default LayersMLModel; diff --git a/src/script/mlmodels/LayersModelTrainer.ts b/src/script/mlmodels/LayersModelTrainer.ts new file mode 100644 index 000000000..5ac7b20e2 --- /dev/null +++ b/src/script/mlmodels/LayersModelTrainer.ts @@ -0,0 +1,87 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import ModelTrainer, { TrainingData } from '../domain/ModelTrainer'; +import LayersMLModel from './LayersMLModel'; +import * as tf from '@tensorflow/tfjs'; +export type LayersModelTrainingSettings = { + noOfEpochs: number; + noOfUnits: number; + validationSplit: number; + learningRate: number; + batchSize: number; +}; + +export type LossTrainingIteration = { + loss: number; + epoch: number; +}; + +class LayersModelTrainer implements ModelTrainer { + constructor( + private settings: LayersModelTrainingSettings, + private onFitIteration: (h: LossTrainingIteration) => void, + ) {} + public async trainModel(trainingData: TrainingData): Promise { + // Fetch data + const features: Array = []; + const labels: Array = []; + const numberOfClasses = trainingData.classes.length; + + trainingData.classes.forEach((gestureClass, index) => { + gestureClass.samples.forEach(sample => { + features.push(sample.value); + + const label: number[] = new Array(numberOfClasses) as number[]; + label.fill(0, 0, numberOfClasses); + label[index] = 1; + labels.push(label); + }); + }); + + const tensorFeatures = tf.tensor(features); + const tensorLabels = tf.tensor(labels); + + // Find the shape by looking at the first data point + const inputShape = [trainingData.classes[0].samples[0].value.length]; + + const input = tf.input({ shape: inputShape }); + const normalizer = tf.layers.batchNormalization().apply(input); + const dense = tf.layers + .dense({ units: this.settings.noOfUnits, activation: 'relu' }) + .apply(normalizer); + const softmax = tf.layers + .dense({ units: numberOfClasses, activation: 'softmax' }) + .apply(dense) as tf.SymbolicTensor; + + const model = tf.model({ inputs: input, outputs: softmax }); + + model.compile({ + loss: 'categoricalCrossentropy', + optimizer: tf.train.sgd(this.settings.learningRate), + metrics: ['accuracy'], + }); + + for (let i = 0; i < this.settings.noOfEpochs; i++) { + const h = await model + .fit(tensorFeatures, tensorLabels, { + epochs: 1, + batchSize: this.settings.batchSize, + validationSplit: this.settings.validationSplit, + }) + .catch(err => { + console.error('tensorflow training process failed:', err); + return Promise.reject(err); + }); + this.onFitIteration({ + epoch: i, + loss: h.history.loss[0] as number, + }); + } + return Promise.resolve(new LayersMLModel(model)); + } +} + +export default LayersModelTrainer; diff --git a/src/script/navigation/Menus.ts b/src/script/navigation/Menus.ts index 988cadbb9..e6362e808 100644 --- a/src/script/navigation/Menus.ts +++ b/src/script/navigation/Menus.ts @@ -16,8 +16,8 @@ export type MenuProperties = { infoBubbleTitle: string; infoBubbleContent: string; navigationPath: PathType; - collapsedButtonContent: typeof SvelteComponent | undefined; - expandedButtonContent: typeof SvelteComponent; + collapsedButtonContent: typeof SvelteComponent | undefined; + expandedButtonContent: typeof SvelteComponent; additionalExpandPaths?: PathType[]; }; diff --git a/src/script/repository/FileUtility.ts b/src/script/repository/FileUtility.ts new file mode 100644 index 000000000..af278fe1f --- /dev/null +++ b/src/script/repository/FileUtility.ts @@ -0,0 +1,42 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { GestureData } from '../domain/stores/gesture/Gesture'; +import { PersistantGestureData } from '../domain/stores/gesture/Gestures'; +import { stores } from '../stores/Stores'; + +class FileUtility { + public static loadDatasetFromFile(file: File) { + const reader = new FileReader(); + reader.onload = function (e: ProgressEvent) { + if (!e.target) { + return; + } + const contents = e.target.result; + if (typeof contents === 'string') { + stores.getGestures().importFrom(JSON.parse(contents) as PersistantGestureData[]); + } + }; + reader.readAsText(file as Blob); + } + + public static downloadDataset(gestureData: GestureData[]) { + const element = document.createElement('a'); + element.setAttribute( + 'href', + 'data:application/json;charset=utf-8,' + + encodeURIComponent(JSON.stringify(gestureData, null, 2)), + ); + element.setAttribute('download', 'dataset'); + + element.style.display = 'none'; + document.body.appendChild(element); + + element.click(); + document.body.removeChild(element); + } +} + +export default FileUtility; diff --git a/src/script/repository/LocalStorageClassifierRepository.ts b/src/script/repository/LocalStorageClassifierRepository.ts new file mode 100644 index 000000000..2b994950c --- /dev/null +++ b/src/script/repository/LocalStorageClassifierRepository.ts @@ -0,0 +1,134 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { Readable, Writable, derived, get, writable } from 'svelte/store'; +import StaticConfiguration from '../../StaticConfiguration'; +import MLModel from '../domain/MLModel'; +import ModelTrainer from '../domain/ModelTrainer'; +import ClassifierFactory from '../domain/ClassifierFactory'; +import LocalStorageRepositories from './LocalStorageRepositories'; +import Filters from '../domain/Filters'; +import Filter from '../domain/Filter'; +import FilterTypes, { FilterType } from '../domain/FilterTypes'; +import PersistantWritable from './PersistantWritable'; +import ClassifierRepository from '../domain/ClassifierRepository'; +import Gesture, { GestureID } from '../domain/stores/gesture/Gesture'; +import Classifier from '../domain/stores/Classifier'; +import GestureConfidence from '../domain/stores/gesture/GestureConfidence'; +import Confidences from '../domain/stores/Confidences'; + +export type TrainerConsumer = ( + trainer: ModelTrainer, +) => Promise; + +class LocalStorageClassifierRepository implements ClassifierRepository { + private static readonly PERSISTANT_FILTERS_KEY = 'filters'; + private static mlModel: Writable; + private static filters: Filters; + private static persistedFilters: PersistantWritable; + private classifierFactory: ClassifierFactory; + + constructor(private confidences: Confidences) { + LocalStorageClassifierRepository.mlModel = writable(undefined); + LocalStorageClassifierRepository.persistedFilters = new PersistantWritable( + FilterTypes.toIterable(), + LocalStorageClassifierRepository.PERSISTANT_FILTERS_KEY, + ); + LocalStorageClassifierRepository.filters = new Filters(this.getFilters()); + this.classifierFactory = new ClassifierFactory(); + } + + public getClassifier(): Classifier { + const gestureRepository: Readable = + LocalStorageRepositories.getInstance().getGestureRepository(); + // TODO: We should cache this object, as it can function as a singleton. This would improve performance + const classifier = this.classifierFactory.buildClassifier( + LocalStorageClassifierRepository.mlModel, + this.getTrainerConsumer(), + LocalStorageClassifierRepository.filters, + gestureRepository, + (gestureId: GestureID, confidence: number) => { + this.setGestureConfidence(gestureId, confidence); + }, + ); + + return classifier; + } + + /** + * Takes a trainer as parameter and produces a MLModel. This function is passed into the classifier when built. + * See getTrainerConsumer() and getClassifier() + */ + private async trainModel(trainer: ModelTrainer): Promise { + const gestureRepository = + LocalStorageRepositories.getInstance().getGestureRepository(); + const trainingData = this.classifierFactory.buildTrainingData( + get(gestureRepository), + LocalStorageClassifierRepository.filters, + ); + const model = await trainer.trainModel(trainingData); + LocalStorageClassifierRepository.mlModel.set(model); + } + + private getTrainerConsumer(): TrainerConsumer { + return (trainer: ModelTrainer) => this.trainModel(trainer); + } + + public setGestureConfidence(gestureId: GestureID, confidence: number) { + if (confidence < 0 || confidence > 1) { + throw new Error('Cannot set gesture confidence. Must be in the range 0.0-1.0'); + } + this.confidences.setConfidence(gestureId, confidence); + } + + private getFilters(): Writable { + // Create and fetch a persistant store + const derivedStore = derived( + [LocalStorageClassifierRepository.persistedFilters], + stores => { + const persistedFilters = stores[0]; + return persistedFilters.map(persistedFilter => + FilterTypes.createFilter(persistedFilter), + ); + }, + ); + // Convert a store of type 'FilterType' to type 'filter'. + return { + subscribe: derivedStore.subscribe, + set: newFiltersArray => + LocalStorageClassifierRepository.persistedFilters.set( + newFiltersArray.map(newFilter => newFilter.getType()), + ), + update: updater => { + const updatedStore = updater(get(derivedStore)).map(filter => filter.getType()); + LocalStorageClassifierRepository.persistedFilters.set(updatedStore); + }, + }; + } + + public getGestureConfidence(gestureId: number): GestureConfidence { + const derivedConfidence = derived([this.confidences], stores => { + const confidenceStore = stores[0]; + if (confidenceStore.has(gestureId)) { + return confidenceStore.get(gestureId) as number; + } + throw new Error("No confidence found for gesture with id '" + gestureId + "'"); + }); + return new GestureConfidence( + StaticConfiguration.defaultRequiredConfidence, + derivedConfidence, + ); + } + + public hasGestureConfidence(gestureId: number): boolean { + return get(this.confidences).has(gestureId); + } + + public getConfidences(): Confidences { + return this.confidences; + } +} + +export default LocalStorageClassifierRepository; diff --git a/src/script/gestures/GestureRepository.ts b/src/script/repository/LocalStorageGestureRepository.ts similarity index 50% rename from src/script/gestures/GestureRepository.ts rename to src/script/repository/LocalStorageGestureRepository.ts index ea74d98a5..5bb5d65c2 100644 --- a/src/script/gestures/GestureRepository.ts +++ b/src/script/repository/LocalStorageGestureRepository.ts @@ -3,31 +3,24 @@ * * SPDX-License-Identifier: MIT */ -import { PersistantGestureData } from '../stores/Gestures'; -import Gesture from '../stores/Gesture'; import ControlledStorage from '../ControlledStorage'; -import { - Readable, - Subscriber, - Unsubscriber, - Writable, - derived, - get, - writable, -} from 'svelte/store'; -import ModelRepository from '../stores/ModelRepository'; - -class GestureRepository implements Readable { +import { Subscriber, Unsubscriber, Writable, get, writable } from 'svelte/store'; +import LocalStorageClassifierRepository from './LocalStorageClassifierRepository'; +import GestureRepository from '../domain/GestureRepository'; +import Gesture from '../domain/stores/gesture/Gesture'; +import { PersistantGestureData } from '../domain/stores/gesture/Gestures'; +import { stores } from '../stores/Stores'; + +class LocalStorageGestureRepository implements GestureRepository { private readonly LOCAL_STORAGE_KEY = 'gestureData'; private static gestureStore: Writable; - - constructor(private modelRepository: ModelRepository) { - GestureRepository.gestureStore = writable([]); - GestureRepository.gestureStore.set(this.getPersistedGestures()); + constructor(private classifierRepository: LocalStorageClassifierRepository) { + LocalStorageGestureRepository.gestureStore = writable([]); + LocalStorageGestureRepository.gestureStore.set(this.getPersistedGestures()); } - public getGesture(gestureId: number) { - const gestures = get(GestureRepository.gestureStore); + public getGesture(gestureId: number): Gesture { + const gestures = get(LocalStorageGestureRepository.gestureStore); const gestureIndex = gestures.findIndex(gesture => gesture.getId() === gestureId); if (gestureIndex === -1) { throw new Error(`Could not find gesture with id '${gestureId}'`); @@ -39,17 +32,17 @@ class GestureRepository implements Readable { run: Subscriber, invalidate?: ((value?: Gesture[] | undefined) => void) | undefined, ): Unsubscriber { - return GestureRepository.gestureStore.subscribe(run, invalidate); + return LocalStorageGestureRepository.gestureStore.subscribe(run, invalidate); } public clearGestures(): void { - GestureRepository.gestureStore.set([]); + LocalStorageGestureRepository.gestureStore.set([]); this.saveCurrentGestures(); } public addGesture(gestureData: PersistantGestureData): Gesture { const gesture = this.buildGesture(gestureData); - GestureRepository.gestureStore.update(arr => { + LocalStorageGestureRepository.gestureStore.update(arr => { arr.push(gesture); return arr; }); @@ -58,7 +51,7 @@ class GestureRepository implements Readable { } public removeGesture(gestureId: number) { - GestureRepository.gestureStore.update(arr => { + LocalStorageGestureRepository.gestureStore.update(arr => { return arr.filter(gesture => gesture.getId() !== gestureId); }); this.saveCurrentGestures(); @@ -73,19 +66,19 @@ class GestureRepository implements Readable { subscribe: store.subscribe, set: val => { store.set(val); - GestureRepository.gestureStore.update(val => val); + LocalStorageGestureRepository.gestureStore.update(val => val); this.saveCurrentGestures(); }, update: updater => { store.update(updater); - GestureRepository.gestureStore.update(val => val); + LocalStorageGestureRepository.gestureStore.update(val => val); this.saveCurrentGestures(); }, }; } private saveCurrentGestures() { - const gestures = get(GestureRepository.gestureStore); + const gestures = get(LocalStorageGestureRepository.gestureStore); const data = gestures.map(gesture => this.getPersistantValues(gesture)); ControlledStorage.set(this.LOCAL_STORAGE_KEY, data); } @@ -95,28 +88,41 @@ class GestureRepository implements Readable { ID: gesture.getId(), name: gesture.getName(), recordings: gesture.getRecordings(), + color: gesture.getColor(), output: gesture.getOutput(), }; } - private getPersistedGestures() { + private getPersistedGestures(): Gesture[] { const resultFromFetch: PersistantGestureData[] = this.getPersistedData(); - return resultFromFetch.map(persistedData => this.buildGesture(persistedData)); + return resultFromFetch.map((persistedData, index) => { + const gesture = this.buildGesture(persistedData); + return gesture; + }); } private buildGesture(persistedData: PersistantGestureData) { const store = this.buildPersistedGestureStore(persistedData); + // TODO: The classifier object should be accessed through the repository, not the store. This cannot be done until the classifier is cached. + const onRecordingsChanged = () => stores.getClassifier().getModel().markAsUntrained(); + + if (!this.classifierRepository.hasGestureConfidence(get(store).ID)) { + this.classifierRepository.setGestureConfidence(get(store).ID, 0); + } + const confidence = this.classifierRepository.getGestureConfidence(get(store).ID); - return new Gesture(store, this.modelRepository.getGestureConfidence(get(store).ID)); + return new Gesture(store, confidence, onRecordingsChanged); } private getPersistedData(): PersistantGestureData[] { - const result = localStorage.getItem(this.LOCAL_STORAGE_KEY); - if (!result) { + if (!ControlledStorage.hasValid(this.LOCAL_STORAGE_KEY)) { return []; } - return ControlledStorage.get(this.LOCAL_STORAGE_KEY); + const storedData = ControlledStorage.get( + this.LOCAL_STORAGE_KEY, + ); + return storedData; } } -export default GestureRepository; +export default LocalStorageGestureRepository; diff --git a/src/script/repository/LocalStorageRepositories.ts b/src/script/repository/LocalStorageRepositories.ts new file mode 100644 index 000000000..2e27b6188 --- /dev/null +++ b/src/script/repository/LocalStorageRepositories.ts @@ -0,0 +1,42 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import LocalStorageGestureRepository from './LocalStorageGestureRepository'; +import LocalStorageClassifierRepository from './LocalStorageClassifierRepository'; +import Repositories from '../domain/Repositories'; +import Confidences from '../domain/stores/Confidences'; + +class LocalStorageRepositories implements Repositories { + private gestureRepository: LocalStorageGestureRepository; + + private classifierRepository: LocalStorageClassifierRepository; + + private static instance: LocalStorageRepositories; + + constructor() { + if (LocalStorageRepositories.instance) { + // Singleton + throw new Error('Could not instantiate repository. It is already instantiated!'); + } + LocalStorageRepositories.instance = this; + const confidences = new Confidences(); + this.classifierRepository = new LocalStorageClassifierRepository(confidences); + this.gestureRepository = new LocalStorageGestureRepository(this.classifierRepository); + } + + public static getInstance() { + return this.instance; + } + + public getGestureRepository() { + return this.gestureRepository; + } + + public getClassifierRepository() { + return this.classifierRepository; + } +} + +export default LocalStorageRepositories; diff --git a/src/script/repository/PersistantWritable.ts b/src/script/repository/PersistantWritable.ts new file mode 100644 index 000000000..d21df2326 --- /dev/null +++ b/src/script/repository/PersistantWritable.ts @@ -0,0 +1,55 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { + Invalidator, + Subscriber, + Unsubscriber, + Updater, + Writable, + get, + writable, +} from 'svelte/store'; +import ControlledStorage from '../ControlledStorage'; + +class PersistantWritable implements Writable { + private store: Writable; + + constructor( + initialValue: T, + private key: string, + ) { + if (ControlledStorage.hasValid(key)) { + const storedValue = ControlledStorage.get(key); + this.store = writable(storedValue); + } else { + this.store = writable(initialValue); + this.saveToLocalStorage(); + } + } + + public set(value: T): void { + this.store.set(value); + this.saveToLocalStorage(); + } + + public update(updater: Updater): void { + this.store.update(updater); + this.saveToLocalStorage(); + } + + public subscribe( + run: Subscriber, + invalidate?: Invalidator | undefined, + ): Unsubscriber { + return this.store.subscribe(run, invalidate); + } + + private saveToLocalStorage() { + ControlledStorage.set(this.key, get(this.store)); + } +} + +export default PersistantWritable; diff --git a/src/script/stores/BindableValue.ts b/src/script/stores/BindableValue.ts deleted file mode 100644 index 4d6eb6179..000000000 --- a/src/script/stores/BindableValue.ts +++ /dev/null @@ -1,37 +0,0 @@ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ - -import { - Readable, - Subscriber, - Unsubscriber, - Updater, - Writable, - get, - writable, -} from 'svelte/store'; - -class BindableValue implements Writable { - private store: Writable; - - constructor(private setter: (newValue: T) => void, private subscribable: Readable) { - this.store = writable(get(subscribable)); - } - public set(value: T): void { - this.setter(value); - } - public update(updater: Updater): void { - this.setter(updater(get(this.subscribable))); - } - public subscribe( - run: Subscriber, - invalidate?: ((value?: T | undefined) => void) | undefined, - ): Unsubscriber { - return this.subscribable.subscribe(run, invalidate); - } -} - -export default BindableValue; diff --git a/src/script/stores/ModelRepository.ts b/src/script/stores/ModelRepository.ts deleted file mode 100644 index 2af3b1c03..000000000 --- a/src/script/stores/ModelRepository.ts +++ /dev/null @@ -1,45 +0,0 @@ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ -import { Writable, derived, get, writable } from 'svelte/store'; -import StaticConfiguration from '../../StaticConfiguration'; -import GestureConfidence from './GestureConfidence'; - -class ModelRepository { - private static confidences: Writable>; - - constructor() { - const initialConfidence = new Map(); - ModelRepository.confidences = writable(initialConfidence); - } - - /* - TODO: Should be private. Once a model store is created, this should only be handled by that store. - */ - public setGestureConfidence(gestureId: number, confidence: number) { - if (confidence < 0 || confidence > 1) { - throw new Error('Cannot set gesture confidence. Must be in the range 0.0-1.0'); - } - const newConfidences = get(ModelRepository.confidences); - newConfidences.set(gestureId, confidence); - ModelRepository.confidences.set(newConfidences); - } - - public getGestureConfidence(gestureId: number): GestureConfidence { - const derivedConfidence = derived([ModelRepository.confidences], stores => { - const confidenceStore = stores[0]; - if (confidenceStore.has(gestureId)) { - return confidenceStore.get(gestureId) as number; - } - return 0; - }); - return new GestureConfidence( - StaticConfiguration.defaultRequiredConfidence, - derivedConfidence, - ); - } -} - -export default ModelRepository; diff --git a/src/script/stores/Stores.ts b/src/script/stores/Stores.ts index 9cb174c54..b6fdd071f 100644 --- a/src/script/stores/Stores.ts +++ b/src/script/stores/Stores.ts @@ -3,9 +3,101 @@ * * SPDX-License-Identifier: MIT */ -import Repositories from '../Repositories'; -import Gestures from './Gestures'; -const repositories = new Repositories(); +import { + Invalidator, + Readable, + Subscriber, + Unsubscriber, + Writable, + derived, + get, + writable, +} from 'svelte/store'; +import Repositories from '../domain/Repositories'; +import Classifier from '../domain/stores/Classifier'; +import Engine from '../domain/stores/Engine'; +import LiveData from '../domain/stores/LiveData'; +import { LiveDataVector } from '../domain/stores/LiveDataVector'; +import Gestures from '../domain/stores/gesture/Gestures'; +import PollingPredictorEngine from '../engine/PollingPredictorEngine'; +import LocalStorageRepositories from '../repository/LocalStorageRepositories'; +import Logger from '../utils/Logger'; +import Confidences from '../domain/stores/Confidences'; -export const gestures: Gestures = new Gestures(repositories.getGestureRepository()); +type StoresType = { + liveData: LiveData; +}; +/** + * Stores is a container object, that allows for management of global stores. + */ +class Stores implements Readable { + private liveData: Writable | undefined>; + private engine: Engine | undefined; + private classifier: Classifier; + private gestures: Gestures; + private confidences: Confidences; + + public constructor() { + this.liveData = writable(undefined); + this.engine = undefined; + const repositories: Repositories = new LocalStorageRepositories(); + this.classifier = repositories.getClassifierRepository().getClassifier(); + this.confidences = repositories.getClassifierRepository().getConfidences(); + this.gestures = new Gestures(repositories.getGestureRepository()); + } + + public subscribe( + run: Subscriber, + invalidate?: Invalidator | undefined, + ): Unsubscriber { + return derived([this.liveData], stores => { + if (!stores[0]) { + throw new Error( + 'Cannot subscribe to stores, livedata is null or undefined, set it user setLiveData(...) first', + ); + } + return { + liveData: stores[0], + }; + }).subscribe(run, invalidate); + } + + public setLiveData>(liveDataStore: T): T { + Logger.log('stores', 'setting live data'); + if (!liveDataStore) { + throw new Error('Cannot set live data store to undefined/null'); + } + this.liveData.set(liveDataStore); + + // We stop the previous engine from making predictions + if (this.engine) { + this.engine.stop(); + } + this.engine = new PollingPredictorEngine(this.classifier, liveDataStore); + return get(this.liveData) as T; + } + + public getClassifier(): Classifier { + return this.classifier; + } + + public getGestures(): Gestures { + return this.gestures; + } + + public getEngine(): Engine { + if (!this.engine) { + throw new Error( + 'Cannot get engine store, the liveData store has not been set. You must set it using setLiveData(...)', + ); + } + return this.engine; + } + + public getConfidences(): Confidences { + return this.confidences; + } +} + +export const stores = new Stores(); diff --git a/src/script/stores/connectDialogStore.ts b/src/script/stores/connectDialogStore.ts index e965bcd4a..83bb3bba1 100644 --- a/src/script/stores/connectDialogStore.ts +++ b/src/script/stores/connectDialogStore.ts @@ -33,6 +33,7 @@ export const connectionDialogState = writable<{ }); export const startConnectionProcess = (): void => { + // Updating the state will cause a popup to appear, from where the connection process will take place connectionDialogState.update(s => { s.connectionState = get(state).isInputConnected ? ConnectDialogStates.START_OUTPUT diff --git a/src/script/stores/knnConfig.ts b/src/script/stores/knnConfig.ts new file mode 100644 index 000000000..bb7256633 --- /dev/null +++ b/src/script/stores/knnConfig.ts @@ -0,0 +1,15 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import { persistantWritable } from './storeUtil'; +import StaticConfiguration from '../../StaticConfiguration'; + +export type KNNSettings = { + k: number; +}; + +export const knnConfig = persistantWritable('knnConfig', { + k: StaticConfiguration.defaultKnnNeighbourCount, +}); diff --git a/src/script/stores/mlStore.ts b/src/script/stores/mlStore.ts deleted file mode 100644 index f0b498415..000000000 --- a/src/script/stores/mlStore.ts +++ /dev/null @@ -1,280 +0,0 @@ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ - -import { persistantWritable } from './storeUtil'; -import { get, writable } from 'svelte/store'; -import { LayersModel } from '@tensorflow/tfjs-layers'; -import { state } from './uiStore'; -import { AxesType, FilterType, Axes, Filters } from '../datafunctions'; -import { PinTurnOnState } from '../../components/output/PinSelectorUtil'; -import MBSpecs from '../microbit-interfacing/MBSpecs'; -import StaticConfiguration from '../../StaticConfiguration'; -import { PersistantGestureData } from './Gestures'; -import Gesture from './Gesture'; -import { gestures } from './Stores'; - -export type RecordingData = { - ID: number; - data: { - x: number[]; - y: number[]; - z: number[]; - }; -}; - -export function loadDatasetFromFile(file: File) { - const reader = new FileReader(); - reader.onload = function (e: ProgressEvent) { - if (!e.target) { - return; - } - const contents = e.target.result; - if (typeof contents === 'string') { - // TODO: fix the following really unsafe parsing and casting - const gestureData: PersistantGestureData[] = JSON.parse( - contents, - ) as PersistantGestureData[]; - gestures.importFrom(gestureData); - } - }; - reader.readAsText(file as Blob); -} - -export function downloadDataset() { - const element = document.createElement('a'); - element.setAttribute( - 'href', - 'data:application/json;charset=utf-8,' + - encodeURIComponent(JSON.stringify(get(gestures), null, 2)), - ); - element.setAttribute('download', 'dataset'); - - element.style.display = 'none'; - document.body.appendChild(element); - - element.click(); - document.body.removeChild(element); -} - -// Delete this function! -export function clearGestures() { - gestures.clearGestures(); -} - -export type GestureData = { - name: string; - ID: number; - recordings: RecordingData[]; - output: GestureOutput; - confidence: { - currentConfidence: number; - requiredConfidence: number; - isConfident: boolean; - }; -}; - -export type GestureOutput = { - matrix?: boolean[]; - sound?: SoundData; - outputPin?: { pin: MBSpecs.UsableIOPin; pinState: PinTurnOnState; turnOnTime: number }; -}; - -export type SoundData = { - name: string; - id: string; - path: string; -}; - -export type LiveData = { - accelX: number; - accelY: number; - accelZ: number; - smoothedAccelX: number; - smoothedAccelY: number; - smoothedAccelZ: number; -}; - -export enum TrainingStatus { - Untrained, - Success, - Failure, -} - -type MlSettings = { - duration: number; // Duration of recording - numSamples: number; // number of samples in one recording (when recording samples) - minSamples: number; // minimum number of samples for reliable detection (when detecting gestures) - automaticClassification: boolean; // If true, automatically classify gestures - updatesPrSecond: number; // Times algorithm predicts data pr second - numEpochs: number; // Number of epochs for ML - learningRate: number; - includedAxes: AxesType[]; - includedFilters: Set; -}; - -const initialMLSettings: MlSettings = { - duration: 1800, - numSamples: 80, - minSamples: 80, - automaticClassification: true, - updatesPrSecond: 4, - numEpochs: 80, - learningRate: 0.5, - includedAxes: [Axes.X, Axes.Y, Axes.Z], - includedFilters: new Set([ - Filters.MAX, - Filters.MEAN, - Filters.MIN, - Filters.STD, - Filters.PEAKS, - Filters.ACC, - Filters.ZCR, - Filters.RMS, - ]), -}; - -// Store with ML-Algorithm settings -export const settings = persistantWritable('MLSettings', initialMLSettings); - -export const livedata = writable({ - accelX: 0, - accelY: 0, - accelZ: 0, - smoothedAccelX: 0, - smoothedAccelY: 0, - smoothedAccelZ: 0, -}); - -export const currentData = writable<{ x: number; y: number; z: number }>({ - x: 0, - y: 0, - z: 0, -}); - -livedata.subscribe(data => { - currentData.set({ - x: data.smoothedAccelX, - y: data.smoothedAccelY, - z: data.smoothedAccelZ, - }); -}); - -// Store for current gestures -export const chosenGesture = writable(null); - -function updateToUntrainedState() { - state.update(s => { - s.isPredicting = false; - return s; - }); - trainingStatus.set(TrainingStatus.Untrained); -} - -// Delete this, maybe? updateToUntrainedState -export function addGesture(name: string): void { - updateToUntrainedState(); - gestures.createGesture(name); -} - -// Delete this, maybe? updateToUntrainedState -export function removeGesture(gesture: GestureData) { - updateToUntrainedState(); - gestures.removeGesture(gesture.ID); -} - -// Delete this, maybe? updateToUntrainedState -export function addRecording(gestureID: number, recording: RecordingData) { - updateToUntrainedState(); - gestures.getGesture(gestureID).addRecording(recording); -} - -// Delete this, maybe? updateToUntrainedState -export function removeRecording(gestureID: number, recordingID: number) { - updateToUntrainedState(); - gestures.getGesture(gestureID).removeRecording(recordingID); -} - -// Delete this, maybe? updateToUntrainedState -export function updateGestureSoundOutput( - gestureID: number, - sound: SoundData | undefined, -) { - gestures.getGesture(gestureID).setSoundOutput(sound); -} - -export function updateGesturePinOutput( - gestureID: number, - pin: MBSpecs.UsableIOPin, - state: PinTurnOnState, - time: number, -) { - gestures.getGesture(gestureID).setIOPinOutput(pin, state, time); -} - -export function updateGestureLEDOutput(gestureID: number, matrix: boolean[]) { - gestures.getGesture(gestureID).setLEDOutput(matrix); -} - -export const gestureConfidences = writable<{ [id: string]: number }>({}); - -// TODO: This is only used one place. Remove store and compute best prediction at said component? -export const bestPrediction = writable(undefined); - -// Store for components to assess model status -export const model = writable(undefined); - -export const trainingStatus = writable(TrainingStatus.Untrained); - -// Stores and manages previous data-elements. Used for classifying current gesture -// TODO: Only used for 'getPrevData' (which is only used for ml.ts). Do we even want this as global state? -export const prevData = writable(new Array(get(settings).minSamples)); - -let liveDataIndex = 0; -livedata.subscribe(data => { - prevData.update((prevDataArray: LiveData[]) => { - prevDataArray[liveDataIndex] = data; - return prevDataArray; - }); - liveDataIndex++; - if (liveDataIndex >= get(settings).minSamples) { - liveDataIndex = 0; - } -}); - -// Store for training state. Used to radiate current epoch state (not done presently). -// TODO: Not used for anything presently (only ever updated). Use or delete -export const trainingState = writable({ - percentage: 0, - loss: 0, - epochs: 0, -}); - -// TODO: Only used at one location (ml.ts). Move to ml.ts? -export function getPrevData(): { x: number[]; y: number[]; z: number[] } | undefined { - const data: LiveData[] = get(prevData); - const dataLength: number = data.length; - // Returns undefined if there has not being collected minSamples data yet - if (Object.values(data).length !== data.length) { - return undefined; - } - const x: number[] = new Array(dataLength); - const y: number[] = new Array(dataLength); - const z: number[] = new Array(dataLength); - - for (let i = 0; i < dataLength; i++) { - const oldDataIndex = (i + liveDataIndex) % dataLength; - x[i] = data[oldDataIndex].accelX; - y[i] = data[oldDataIndex].accelY; - z[i] = data[oldDataIndex].accelZ; - } - - return { x, y, z }; -} - -// // Never used? -// export const lossGraphStore = writable(undefined); -// // Never used? -// export const classificationStore = writable({ lastRecording: undefined, recordingTime: undefined }); diff --git a/src/script/stores/uiStore.ts b/src/script/stores/uiStore.ts index 6410e6e43..4ef7466d1 100644 --- a/src/script/stores/uiStore.ts +++ b/src/script/stores/uiStore.ts @@ -4,7 +4,7 @@ * SPDX-License-Identifier: MIT */ -import { get, writable } from 'svelte/store'; +import { Writable, derived, get, writable } from 'svelte/store'; import { type CompatibilityStatus, checkCompatibility, @@ -13,17 +13,24 @@ import { t } from '../../i18n'; import { DeviceRequestStates } from './connectDialogStore'; import CookieManager from '../CookieManager'; import { isInputPatternValid } from './connectionStore'; -import { gestures } from './Stores'; - -// TODO: Rename? Split up further? +import Gesture from '../domain/stores/gesture/Gesture'; +import Axes from '../domain/Axes'; +import PersistantWritable from '../repository/PersistantWritable'; +import { DropdownOption } from '../../components/buttons/Buttons'; +import { stores } from './Stores'; +import ModelRegistry, { ModelInfo } from '../domain/ModelRegistry'; let text: (key: string, vars?: object) => string; t.subscribe(t => (text = t)); -export const compatibility = writable(checkCompatibility()); +export const compatibility: Writable = + writable(checkCompatibility()); + +export const chosenGesture = writable(null); -export const isBluetoothWarningDialogOpen = writable( - get(compatibility) ? !get(compatibility).bluetooth : false, +export const isBluetoothWarningDialogOpen = derived( + compatibility, + stores => !stores.bluetooth, ); export enum ModelView { @@ -35,12 +42,9 @@ export enum ModelView { export const state = writable<{ isRequestingDevice: DeviceRequestStates; isFlashingDevice: boolean; - isTesting: boolean; isRecording: boolean; - isTraining: boolean; isInputConnected: boolean; isOutputConnected: boolean; - isPredicting: boolean; offerReconnect: boolean; requestDeviceWasCancelled: boolean; reconnectState: DeviceRequestStates; @@ -55,12 +59,9 @@ export const state = writable<{ }>({ isRequestingDevice: DeviceRequestStates.NONE, isFlashingDevice: false, - isTesting: false, isRecording: false, - isTraining: false, isInputConnected: false, isOutputConnected: false, - isPredicting: false, offerReconnect: false, requestDeviceWasCancelled: false, reconnectState: DeviceRequestStates.NONE, @@ -106,25 +107,16 @@ export function areActionsAllowed(actionAllowed = true, alertIfNotReady = true): function assessStateStatus(actionAllowed = true): { isReady: boolean; msg: string } { const currentState = get(state); + const model = stores.getClassifier().getModel(); + if (currentState.isRecording) return { isReady: false, msg: text('alert.isRecording') }; - if (currentState.isTesting) return { isReady: false, msg: text('alert.isTesting') }; - if (currentState.isTraining) return { isReady: false, msg: text('alert.isTraining') }; + if (model.isTraining()) return { isReady: false, msg: text('alert.isTraining') }; if (!currentState.isInputConnected && actionAllowed) return { isReady: false, msg: text('alert.isNotConnected') }; return { isReady: true, msg: '' }; } -export const hasSufficientData = (): boolean => { - if (!gestures) { - return false; - } - if (gestures.getNumberOfGestures() < 2) { - return false; - } - return !gestures.getGestures().some(gesture => gesture.getRecordings().length < 3); -}; - export const buttonPressed = writable<{ buttonA: 0 | 1; buttonB: 0 | 1 }>({ buttonA: 0, buttonB: 0, @@ -136,6 +128,16 @@ export enum MicrobitInteractions { AB, } +const defaultModel: ModelInfo = ModelRegistry.NeuralNetwork; +export const selectedModel = new PersistantWritable( + defaultModel, + 'selectedModel', +); + +// TODO: Should probably be elsewhere +export const prevHighlightedAxis = writable(undefined); +export const highlightedAxis = writable(undefined); + const initialMicrobitInteraction: MicrobitInteractions = MicrobitInteractions.AB; export const microbitInteraction = writable( @@ -143,12 +145,13 @@ export const microbitInteraction = writable( ); /** - * Workaround for an unrecoverable reconnect failure due to a bug in chrome/chromium + * Workaround for an unrecoverable reconnect failure due to a bug in chrome/chromium. + * This error occurs, when a connection is established, but lost again before listening to the characteristics * Refresh the page is the only known solution */ -export const onCatastrophicError = () => { +export const onCatastrophicError = (reconnect?: boolean) => { // Set flag to offer reconnect when page reloads - if (isInputPatternValid()) { + if (isInputPatternValid() && reconnect) { CookieManager.setReconnectFlag(); } location.reload(); diff --git a/src/script/utils/FilterLimits.ts b/src/script/utils/FilterLimits.ts new file mode 100644 index 000000000..0306fd177 --- /dev/null +++ b/src/script/utils/FilterLimits.ts @@ -0,0 +1,38 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ +import Filter from '../domain/Filter'; +import { FilterType } from '../domain/FilterTypes'; + +export type FilterGraphType = { + min: number; + max: number; +}; + +class FilterGraphLimits { + public static getFilterLimits(filter: Filter): { min: number; max: number } { + const filterType = filter.getType(); + switch (filterType) { + case FilterType.MAX: + return { min: -2.4, max: 2.4 }; + case FilterType.MIN: + return { min: -2.4, max: 2.4 }; + case FilterType.STD: + return { min: 0, max: 2.4 }; + case FilterType.PEAKS: + return { min: 0, max: 10 }; + case FilterType.ACC: + return { min: 0, max: 160 }; + case FilterType.MEAN: + return { min: -2.4, max: 2.4 }; + case FilterType.ZCR: + return { min: 0, max: 1 }; + case FilterType.RMS: + return { min: 0, max: 2 }; + } + } +} + +export default FilterGraphLimits; diff --git a/src/script/utils/Logger.ts b/src/script/utils/Logger.ts new file mode 100644 index 000000000..5e0eda0fc --- /dev/null +++ b/src/script/utils/Logger.ts @@ -0,0 +1,51 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import Environment from '../Environment'; +class Logger { + constructor(private origin: any) {} + + public log(message: any, ...params: any[]) { + Logger.log(this.origin, message, params); + } + + /** + * Logs a message in development environment + */ + public static log(origin: any, message: any, ...params: any[]) { + if (!Environment.isInDevelopment) { + return; + } + if (!(window as typeof window & { hasLogged: boolean }).hasLogged) { + welcomeLog(); + } + const outputMessage = `[${origin}] ${message} ${params}`; + !(window as typeof window & { ns: boolean }).ns && console.trace(outputMessage); + (window as typeof window & { ns: boolean }).ns && console.log(outputMessage); + } +} +export const welcomeLog = () => { + if ( + !Environment.isInDevelopment || + (window as typeof window & { hasLogged: boolean }).hasLogged + ) { + return; + } + console.log(`⚙️ Development Mode : + Welcome to the ML-Machine development mode. + To disable stacktrace in logs, type ns=true or ns() in console + If you experience any bugs, please report them at https://github.com/microbit-foundation/cctd-ml-machine/issues`); + Object.assign(window, { hasLogged: true }); +}; + +if (!(window as typeof window & { ns: boolean }).ns) { + Object.assign(window, { + ns: false, + ds: () => ((window as typeof window & { ns: boolean }).ns = true), + }); +} + +export default Logger; diff --git a/src/script/utils/PerformanceProfileTimer.ts b/src/script/utils/PerformanceProfileTimer.ts new file mode 100644 index 000000000..dd6bdc7f1 --- /dev/null +++ b/src/script/utils/PerformanceProfileTimer.ts @@ -0,0 +1,35 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +/** + * Dev tool, use it to quickly determine how long actions take, example + * + * ``` + * const perId = Date.now(); + * PerformanceProfileTimer.start(perId.toString()); + * + * doDemandingStuff(); + * + * PerformanceProfileTimer.stop(perId.toString()); + * ``` + */ +class PerformanceProfileTimer { + private static timerMap: Map = new Map(); + public static start(id: string) { + PerformanceProfileTimer.timerMap.set(id, Date.now()); + } + + public static stop(id: string) { + if (!PerformanceProfileTimer.timerMap.has(id)) { + throw new Error('Timer wasnt started! You must call start first with the same id!'); + } + console.log( + id + ' took ' + (Date.now() - PerformanceProfileTimer.timerMap.get(id)!) + 'ms', + ); + } +} + +export default PerformanceProfileTimer; diff --git a/src/script/utils/graphUtils.ts b/src/script/utils/graphUtils.ts new file mode 100644 index 000000000..80105acb6 --- /dev/null +++ b/src/script/utils/graphUtils.ts @@ -0,0 +1,125 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +import Axes from '../domain/Axes'; +import { TrainingData } from '../domain/ModelTrainer'; +import { MicrobitAccelerometerData } from '../livedata/MicrobitAccelerometerData'; + +export type Point3D = { + x: number; + y: number; + z: number; +}; +/** + * Type help for d3-3d package + */ +export type Point3DTransformed = Point3D & { + rotated: { x: number; y: number; z: number }; + projected: { x: number; y: number }; +}; + +/** + * Smoothes values by interpolating between old value and new value + */ +export const smoothNewValue = (...values: number[]) => { + const numberOfValues = values.length; + let smoothed = 0; + values.forEach((value, index) => { + // Using weighted sum + const weight = + (numberOfValues - index) / ((numberOfValues * (numberOfValues + 1)) / 2); + smoothed += value * weight; + }); + return smoothed; +}; + +/** + * Training data has a flattened datastructure. This can be used to extract just a single axis from the dataset + */ +export const extractAxisFromTrainingData = ( + trainingData: TrainingData, + axisOffset: number, + noOfAxes: number, +): TrainingData => { + return { + classes: trainingData.classes.map(clazz => { + return { + samples: clazz.samples.map(sample => { + const noOfFilters = sample.value.length / noOfAxes; + const startIndex = noOfFilters * axisOffset; + const stopIndex = startIndex + noOfFilters; + return { + value: sample.value.filter( + (_val, index) => index >= startIndex && index < stopIndex, + ), + }; + }), + }; + }), + }; +}; + +/** + * Training data has a flattened datastructure. This can be used to extract just a single filter from the dataset + * + * The filterIndex is the index of the filter in the Filters list + * + * i.e + * ``` + * [ + * Filter.MIN, // 0 + * Filter.MAX, // 1 + * Filter.MEAN, // 2 + * ] + * ``` + */ +export const extractFilterFromTrainingData = ( + trainingData: TrainingData, + filterIndex: number, + noOfAxes: number, +): TrainingData => { + return { + classes: trainingData.classes.map(clazz => { + return { + samples: clazz.samples.map(sample => { + const filterValues = []; + for (let i = noOfAxes * filterIndex; i < sample.value.length; i += noOfAxes) { + const element = sample.value[i]; + filterValues.push(element); + } + return { + value: filterValues, + }; + }), + }; + }), + }; +}; + +export const extractAxisFromAccelerometerData = ( + data: MicrobitAccelerometerData[], + axis: Axes, +) => { + switch (axis) { + case Axes.X: + return data.map(val => val.x); + case Axes.Y: + return data.map(val => val.y); + case Axes.Z: + return data.map(val => val.z); + } +}; + +export const distanceBetween = (point1: Point3D, point2: Point3D): number => { + const { x: x1, y: y1, z: z1 } = point1; + const { x: x2, y: y2, z: z2 } = point2; + + const [dx, dy, dz] = [x2 - x1, y2 - y1, z2 - z1]; + + const squaredDistance = dx ** 2 + dy ** 2 + dz ** 2; + + return Math.sqrt(squaredDistance); +}; diff --git a/src/setup_tests.ts b/src/setup_tests.ts index ab69d6fa1..43a0e3030 100644 --- a/src/setup_tests.ts +++ b/src/setup_tests.ts @@ -4,17 +4,12 @@ * SPDX-License-Identifier: MIT */ -const util = require('util'); - -// Required for the jest runtime -TextDecoder = util.TextDecoder; - // browser mocks const setLang = (lang: string) => { const localStorageMock = (function () { let store = { isTesting: true, - lang: lang, + lang: JSON.stringify(lang), }; return { getItem: function (key: 'isTesting' | 'lang') { @@ -30,7 +25,7 @@ const setLang = (lang: string) => { clear: function () { store = { isTesting: true, - lang: lang, + lang: JSON.stringify(lang), }; }, }; diff --git a/src/svelte-skeleton.d.ts b/src/svelte-skeleton.d.ts new file mode 100644 index 000000000..b20f913c1 --- /dev/null +++ b/src/svelte-skeleton.d.ts @@ -0,0 +1,7 @@ +/** + * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors + * + * SPDX-License-Identifier: MIT + */ + +declare module 'svelte-skeleton/Skeleton.svelte'; diff --git a/src/translations.ts b/src/translations.ts deleted file mode 100644 index 4cd06f1d8..000000000 --- a/src/translations.ts +++ /dev/null @@ -1,542 +0,0 @@ -/** - * (c) 2023, Center for Computational Thinking and Design at Aarhus University and contributors - * - * SPDX-License-Identifier: MIT - */ - -export default { - "da": { // APPROXIMATE SORTING ORDER: First alphabetically, then order of appearance from top to bottom of page - // ALERTS: - //In gesture.svelte - "alert.data.classNameLengthAlert": "Navne må kun bestå af {{maxLen}} tegn", - "alert.recording.disconnectedDuringRecording":"micro:bit frakoblede under optagelse", - - //In common.js - "alert.isRecording": "Du er i gang med at optage!", - "alert.isTesting": "Du er i gang med at optage!", - "alert.isTraining": "Du er i gang med at træne en model!", - "alert.isNotConnected": "Din Micro:bit skal være tilsluttet!", - "alert.deleteGestureConfirm": "Er du sikker på at du vil slette klassen ", - //In ml.ts - "alert.twoGestures": "Du skal have mindst to klasser", - "alert.oneDataRepresentation": "Du skal have mindst en data-repræsentation", - "alert.recordingsPerGesture": "Du skal have mindst tre eksempler for hver klasse", - // HOME PAGE: - "content.index.heading": "Gør-det-selv machine learning", - "content.index.howBody": "Velkommen til 'ultra:bit datatræneren'. Eksperimentér og leg med machine learning og byg dine første machine learning-modeller – kom i gang her!", - "content.index.ledDescription": "25 LED lys", - "content.index.recordButtonDescription": "\"Optag\"-knap", - "content.index.videoHeading": "Introvideo", - "content.index.setupBody2": "Hjemmesiden benytter bluetooth, accelerometer, LED'er, knapper og lyd fra BBC micro:bit'en. For at hjemmesiden kan tilgå disse, skal der overføres et program til BBC micro:bit'en. Det downloades første gang, du tilslutter BBC micro:bit'en med USB. Efterfølgende kan du blot tilslutte med bluetooth uden at bruge USB-kablet.", - "content.index.oldVersion": "Du kan finde den gamle version her:", - "content.index.contactButton": "Kontakt os", - "content.index.contactBody": "Hvis du finder fejl og mangler på denne platform, skal du være velkommen til at skrive til os. Hvis du har andre efterspørgsler, ideer eller generel interesse, skal du være velkommen til at kontakte os. Skaberne af denne platform kan kontaktes på:", - "content.index.contactBodyGithub": "Du kan også besøge vores Github side:", - "content.index.contactMail": "keb@cs.au.dk", - "content.index.acknowledgement": "Udviklet af Center for Computational Thinking og Design, Aarhus Universitet", - "content.index.newzHeading": "Nyheder", - "content.index.newzBodyMakecode": "Du kan nu programmere omkring outputtet fra dine modeller i MakeCode. See den øverste på modelsiden.", - "content.index.newzBodyViz": "Vi har fået en visualisering af datarepreæsentationen.", - "content.index.MLHeading": "Hvordan virker det?", - "content.index.MLSubheading": "ML-Machine bygger machine learning modeller til at genkende mønstre i accelerometer data.", - "content.index.MLExplainer1": "Med ML-Machine kan du kuratere data eksempler af forskellige bevægelser og gestikker, som en machine learning algoritme analyserer. Den finder mønstre i dataen som kan bruges til at forudsige/gætte om micro:bit’en bliver bevæget i cirkler, ryster, er tapet til benet af en person som hopper, m.m.", - "content.index.MLExplainer2": "For kunne dette laver ml-machine.org en datarepræsentation af eksemplerne ved at udregne specifikke egenskaber af hvert eksempel, fx standardafvigelse, samlet acceleration, den maximale værdi.", - "content.index.MLExplainer3": "Data repræsentationerne af eksemplerne vises til et neuralt netværk. Det neurale netværk “lærer” fra disse eksempler ved at finde mønstre i og imellem eksemplerne.", - "content.index.MLExplainer4": "Denne træningsprocess resulterer i et trænet neuralt netværk (vi kalder det også en machine learning model), der kan gætte/forudsige, hvordan micro:bit’en bevæges, når de samme egenskaber (standardafvigelse, samlet acceleration, den maximale værdi m.m.) beregnes fra det live accelerometer data.", - // DATA PAGE: - "content.data.classPlaceholderNewClass": "Klik for at ændre navnet", - "content.data.record": "Optag", - "content.data.addData": "Tilføj data", - "content.data.classHelpHeader": "Klasse", - "content.data.classHelpBody": "En klasse beskriver en type af bevægelse. Vi kan optage eksempler af en bestemt type bevægelse og putte eksemplerne i samme klasse. Træneren kan finde mønstre i eksemplerne/dataet og bruge disse mønstre til at træne en model, der kan genkende denne type bevægelse. Flere eksmpler vil typisk reulstere i en bedre model, men overvej på hvor mange forskellige måder en bevægelse kan laves.", - "content.data.classification": "Klasser", - "content.data.data": "Data", - "content.data.choice": "Valg", - "content.data.choice.header": "Valg af klasse", - "content.data.choice.body": "Her vælger du, hvilken klasse du vil tilføje data til. Efter at du har valgt en klasse at tilføje data til, kan du trykke på \"Optag\" knappen nedenfor, eller på en af knapperne på din micro:bit for at optage et data-segment. Se billedet nedenfor.", - "content.data.dataDescription": "Her kan du se din indsamlede data. Generelt vil det være en fordel at have mere data, da dette giver lærings-algoritmen mere infomration at lære ud fra.", - "content.data.addDataNoConnection": "Du kan ikke tilføje data, uden at være tilsluttet en micro:bit", - "content.data.noData": "Du har ingen bevægelser at træne med. Tilføj nogle bevægelser, som du vil træne din BBC micro:bit til at genkende.", - - "content.data.controlbar.button.clearData": "Ryd eksempler", - "content.data.controlbar.button.clearData.confirm": "Er du sikker på at du vil slette alle eksempler?\nDette kan ikke fortrydes.", - "content.data.controlbar.button.downloadData": "Download dataset", - "content.data.controlbar.button.uploadData": "Upload dataset", - - - // TRAINER PAGE: - "content.trainer.failure.header": "Træning mislykkedes", - "content.trainer.failure.body": "Træningen resulterede ikke i en brugbar model. Grunden til dette ligger sandsynligvis i dataet. Hvis dataet i forskellige klasser minder for meget om hinanden, kan dette resultere i nogle forskellige problemer i træningsprocessen, der ikke gør det muligt at træne modellen ordentligt.", - "content.trainer.failure.todo": "Gå tilbage til datasiden og ændr i din data.", - "content.trainer.controlbar.filters": "Filtre", - - // FILTER PAGE - "content.filters.NoDataHeader": "Der er ikke noget data", - "content.filters.NoDataBody": "Gå til Data-siden for at indsamle data.", - "content.filters.max.title" : "Maksværdier", - "content.filters.max.description" : "Det maksimale punkt blandt alle datapunkter i en bevægelse.", - "content.filters.min.title" : "Minimumsværdier", - "content.filters.min.description" : "Det minimale punkt blandt alle datapunkter i en bevægelse.", - "content.filters.std.title" : "Standardafvigelse", - "content.filters.std.description" : "Den gennemsnitlige afvigelse fra 0 blandt alle datapunkter i en bevægelse.", - "content.filters.peaks.title" : "Antal ekstremer", - "content.filters.peaks.description" : "Antallet af ekstremer blandt alle datapunkter i en bevægelse.", - "content.filters.acc.title" : "Samlet acceleration", - "content.filters.acc.description" : "Summen af acceleration for hele bevægelsen, udregnet med absolutte værdier. God til at forstå mængden af bevægelse.", - "content.filters.mean.title" : "Gennemsnit", - "content.filters.mean.description": "Gennemsnit af acceleration.", - "content.filters.zcr.title" : "Zero crossing rate", - "content.filters.zcr.description": "Hvor ofte inputet (accelerationen) går fra positiv til negativ eller omvendt", - "content.filters.rms.title" : "Effektiv værdi ", - "content.filters.rms.description": "Root mean square.", - - // MODEL PAGE: - "content.model.trainModelFirstHeading": "Træn modellen først!", - "content.model.trainModelFirstBody": "Gå til 'Træner'-siden", - "content.model.classification.helpHeading": "Sandsynligheds-meteret", - "content.model.classification.helpBody": "For hver forudsigelse, vil modellen producere et procent-tal, der beskriver hvor sikker modellen er i sin fordusigelse. Dette meter går fra 0% til 100%. Med slideren ved siden af, kan du bestemme grænsen for, hvor sikker modellen skal være i sin forudsigelse for at lave et output (fx afspille en lyd)", - "content.model.output.soundOptionCongratulations": "Tillykke", - "content.model.output.soundOptionHighPitchBeep": "Højtone Bip", - "content.model.output.soundOptionLowPitchBeep": "Lavtone Bip", - "content.model.output.soundOptionLoser": "Taber", - "content.model.output.soundOptionMistake": "Fejl", - "content.model.output.soundOptionHugeMistake": "Kæmpe fejl", - - "content.model.output.pin.option.allTime": "Altid tændt", - "content.model.output.pin.option.xTime": "Tænd på tid", - "content.model.output.pin.seconds": "Sekunder", - - "content.model.output.prediction.iconTitle": "Forudsigelse", - "content.model.output.prediction.descriptionTitle": "Forudsigelse", - "content.model.output.prediction.descriptionBody": "Her kan du se, hvilken klasse din model forudsiger den nuværende bevægelse til at være. Du kan se i meteret hvor sikker modellen er i sin forudsigelse.", - - "content.model.output.ledOutput.descriptionTitle": "LED output", - "content.model.output.ledOutput.descriptionBody": "Her kan du vælge, hvordan LED-lysene på din output-micro:bit skal opføre sig, når din model forudsiger en klasse. Prøv at tegne nogle mønstre nedenfor og se, hvordan disse mønstre vises på din output-micro:bit, når du bevæger input-micro:bit'en.", - - "content.model.output.sound.iconTitle": "Lyd", - "content.model.output.sound.descriptionTitle": "Afspilling af lyd", - "content.model.output.sound.descriptionBody": "Her kan du vælge hvilken lyd din output-micro:bit skal afspille, når din model laver en forudsigelse. Bemærk at lyden afspilles af din computer, hvis du har en micro:bit version 1.", - - "content.model.output.pin.iconTitle": "Pin", - "content.model.output.pin.descriptionTitle": "Pin output", - "content.model.output.pin.descriptionBody": "Her kan du vælge hvilken pin skal tænde når modellen laver en forudsigelse på en bevægelse. Alle pins har numre i overenstemmelse med micro:bits officielle pin diagram.", - - "content.model.output.popup.header": "Tilslut output-micro:bit", - "content.model.output.popup.body": "Hvis du ikke har tilsluttet en output-micro:bit, kan du ikke se resultatet af de ændringer du laver på denne side. Tilslut nedenfor.", - // FOOTER: - "footer.connectButtonNotConnected": "Tilslut din BBC micro:bit", - "footer.disconnectButton": "Frakobl", - "footer.helpHeader": "Live graf", - "footer.helpContent": "Når du har forbundet en micro:bit kan du live se Accelerometer-data for alle tre akser på denne graf. Prøv at bevæge din forbundende micro:bit og se, hvordan den data der produceres af bevægelserne ser ud for computeren!", - "footer.reconnecting":"Genopretter forbindelsen. Vent venligst", - //DATA MENU: - "menu.data.helpHeading": "Data", - "menu.data.helpBody": "For at træne en model til at genkende forskellige bevægelser, skal vi have gode eksempler på 'god opførsel', som vi kan vise træneren. Her kan i oprette klasser (en type bevægelse) og optage eksempler til hver klasse. Der skal være mindst 2 klasser med hver 3 eksempler før træneren kan træne en model.", - "menu.data.examples": "eksempler", - // TRAINER MENU: - "menu.trainer.helpHeading": "Træner", - "menu.trainer.helpBody": "Træneren kigger på eksemplerne i klasserne og forsøger at 'lære', hvordan de forskellige klasser kan genkendes ved at finde mønstre i dataet. Her kan i træne en model, der kan genkende forskellige bevægelser.", //Derudover kan i indstille træneren, vælge hvordan træneren skal forstå dataet og oprette test-sæt.", - "menu.trainer.notConnected1": "Du har ikke tilkoblet en BBC micro:bit.", - "menu.trainer.notConnected2": "Gør dette vha. knappen nedenfor", - "menu.trainer.notEnoughDataHeader1": "Ikke nok data!\nGå til Data-siden", - "menu.trainer.notEnoughDataInfoBody": "Der er brug for minimum 2 klasser med 3 eksempler i hver for at kunne træne en model.", - "menu.trainer.notEnoughDataInfo": "Du har ikke indsamlet nok data til at træne en model. Der er brug for minimum 2 klasser med 3 eksempler i hver. Gå til Data-siden for at indsamle mere data", - "menu.trainer.trainModelButton": "Træn model", - "menu.trainer.trainNewModelButton": "Træn en ny model", - "menu.trainer.TrainingFinished": "Træning færdig", - "menu.trainer.TrainingFinished.body": "Gå til Model-siden for at undersøge hvor godt din model virker", - "menu.trainer.isTrainingModelButton": "Træner model...", - // MODEL MENU: - "menu.model.helpHeading": "Model", - "menu.model.helpBody": "Modellen kan bruges i et interaktivt system. Her bruger vi den trænede model til at forudsige bevægelser. Du kan tilslutte endnu en micro:bit og få den til at reagere på de bevægelser du laver.", - "menu.model.noModel": "Ingen model", - "menu.model.connectOutputButton": "Tilslut output-micro:bit", - "menu.model.disconnect": "Frakobl output-micro:bit", - //CONNECT MICROBIT POP UP: - - "popup.connectMB.main.bluetooth.subtitle": "Tilslut med Bluetooth", - - "popup.connectMB.bluetooth.heading": "Tilslut med Bluetooth", - "popup.connectMB.bluetooth.cancelledConnection": "Du anullerede forbindelses-processen. Prøv igen hvis du ønsker at fortsætte.", - "popup.connectMB.bluetooth.step0": "Tilslut et batteri til din BBC micro:bit", - "popup.connectMB.bluetooth.step1": "Tegn mønstret du ser på BBC micro:bit'en", - "popup.connectMB.bluetooth.step2": "Tryk på knappen nedenfor.", - "popup.connectMB.bluetooth.step3": "Vælg din BBC micro:bit og tryk 'tilslut'.", - "popup.connectMB.bluetooth.connect": "Tilslut", - "popup.connectMB.bluetooth.connecting": "Tilslutter...", - "popup.connectMB.bluetooth.invalidPattern": "Mønstret du har tegnet er ikke gyldig", - "popup.connectMB.bluetooth.timeouted": "Dukker der ikke et forbind-vindue op? Prøv at indlæse siden igen.", - - "popup.disconnectedWarning.input": "Din input-micro:bit mistede forbindelsen, vil du prøve igen?", - "popup.disconnectedWarning.output": "Din output-micro:bit mistede forbindelsen, vil du prøve igen?", - "popup.disconnectedWarning.reconnectButton.input": "Tilslut input igen", - "popup.disconnectedWarning.reconnectButton.output": "Tilslut output igen", - - // NEW CONNECTION PROMPTS - TODO: Rename, merge with above and clean up - - "connectMB.main.usbHeader": "DOWNLOAD PROGRAM TIL BBC MICRO:BIT", - "connectMB.main.btHeader": "TILSLUT DIN BBC MICRO:BIT VIA BLUETOOTH", - "connectMB.main.usbBody": "Hvis du ikke tidligere har downloadet programmet", - "connectMB.main.btBody": "Hvis du allerede har downloadet programmet", - "connectMB.main.connectButton": "Tilslut", - "connectMB.main.installButton": "Download", - - "connectMB.output.header": "En micro:bit er allerede forbundet", - - "connectMB.usb.header": "DOWNLOAD PROGRAM TIL BBC MICRO:BIT", - "connectMB.usb.body1": "Tilslut din BBC micro:bit med USB-kabel og tryk på 'næste'", - "connectMB.usb.body2": "Tryk 'Find USB-enhed' og vælg 'BBC micro:bit CMSIS-DAP' eller 'DAPLink CMSIS-DAP' fra popup-beskeden som kommer", - "connectMB.usb.button1": "Næste", - "connectMB.usb.button2": "Find USB-enhed", - "connectMB.usb.pleaseWait": "Vent venligst. Downloader program til micro:bit'en", - "connectMB.usb.done.body1": "Færdig - programmet er downloadet.", - "connectMB.usb.done.body2": "Du kan nu tilkoble dig via bluetooth.", - "connectMB.usb.done.body3": "Hvis du har et batteri til din micro:bit kan du nu tage usb-kablet ud og tilslutte batteriet i stedet.", - "connectMB.usb.done.body4": "Hvis du ikke har et batteri kan du fortsætte med at give din micro:bit strøm igennem usb-kablet.", - - "connectMB.usb.manual.header": "Overfør fil til din BBC microbit", - "connectMB.usb.manual.manualDownload": "Hvis filen ikke downloadede automatisk tryk", - "connectMB.usb.manual.manualDownloadLink": "her", - "connectMB.usb.manual.done": "Færdig: Tilslut med bluetooth", - - "connectMB.usb.firmwareBroken.warning":"Vi opdagede en fejl med din micro:bit", - "connectMB.usb.firmwareBroken.content1":"Din version af micro:bit og firmware har velkendte fejl, som forhindre os i at uploade programmet til din micro:bit.", - "connectMB.usb.firmwareBroken.content2":"For at fortsætte nu skal du overføre programmet manuel eller opdatere din micro:bit", - "connectMB.usb.firmwareBroken.content3":"Vi anbefaler at du opdatere din micro:bit's firmware version til den nyeste for rette op på denne fejl.", - "connectMB.usb.firmwareBroken.content4":"Du kan finde en guide til hvordan du gør på ", - "connectMB.usb.firmwareBroken.content4.website":"micro:bit fondens hjemmeside", - "connectMB.usb.firmwareBroken.button.skip":"Spring over og overfør manuelt", - - "connectMB.outputMB.same": "Brug samme BBC micro:bit", - "connectMB.outputMB.different": "Tilslut anden BBC micro:bit", - "connectMB.outputMB.sameButton": "Samme", - "connectMB.outputMB.otherButton": "Anden", - - - // COOKIE BANNER - - "cookies.banner.title": "Cookie politik", - "cookies.banner.subtitle": "Forbrug og analyse", - "cookies.banner.text.pleaseHelp": "Hjælp os med at forbedre siden! Tillad cookies for at hjælpe os.", - "cookies.banner.text.description": "Her hos ML-Machine bruger vi cookies for at indsamle information omkring forbrug af siden. Uden disse cookies er vi ikke i stand til at se hvordan vores side bliver brugt.", - "cookies.banner.text.readMore": "Du kan læse mere omkring vores cookie politik ", - "cookies.banner.text.readMore.here": "her", - "cookies.banner.buttons.reject": "Afvis", - "cookies.banner.buttons.accept": "Accepter", - - "cookies.overlay.title": "Cookie politik", - - "cookies.overlay.question.whatAreCookies": "Hvad er cookies?", - "cookies.overlay.question.ourReasoning": "Hvad bruger vi cookies til?", - "cookies.overlay.question.storageDuration": "Hvor lang tid gemmer vi cookies?", - "cookies.overlay.question.deleting": "Hvordan sletter man cookies?", - "cookies.overlay.question.consentChange": "Hvordan ændrer jeg mit samtykke?", - - "cookies.overlay.answer.whatAreCookies": "Cookies er små filer med informationer, som der bliver gemt på den enhed du bruger til at browse med. Det er ikke programmer, som kan indeholder malware eller vira.", - "cookies.overlay.answer.ourReasoning": "Vi bruger cookies for at indsamle information omkring forbrug af siden. Uden disse cookies er vi ikke i stand til at se hvordan vores side bliver brugt. Du gør derfor os en stor tjeneste ved at give samtykke til cookies.", - "cookies.overlay.answer.storageDuration": "Det varier fra side til side og udnyttelsen af cookie'en. Nogle cookies bliver gemt indtil du forlader siden, andre bliver gemt i længere perioder. Alle vores cookies bliver gemt i et år.", - "cookies.overlay.answer.deleting": "Det er forskelligt fra browser til browser. Her er dog en liste af manualer til de mest populære browsere.", - "cookies.overlay.answer.consentChange": "På nuværende tidspunkt har du endnu ikke givet samtykke, men når du gør kan du blot slette din cookie, hvis du ønsker at trække samtykke tilbage eller på andenvis ombestemmer dig.", - - "cookies.overlay.table.title": "Cookies som vi bruger", - "cookies.overlay.table.header.description": "Beskrivelse", - - "cookies.overlay.table.row.ai_user.description": "Brugt af Microsoft Application Insights til at indsamle statistisk data omkring forbrug. Den gemmer derudover et unik identifikationsnummer, som bruges til at genkende dig næste gang du amkommer på siden. Den gemmer ikke noget personligt omkring dig, og genererer et identifikationsnummer tilfældigt.", - "cookies.overlay.table.row.ai_session.description": "Gemmer dit nuværende besøg, så vi kan genkende dig på tværs af vores sider.", - "cookies.overlay.table.row.cookie_consent.description": "Gemmer dine samtykkevalg af vores cookie politik.", - - // COMPATIBILITY WARNING - "popup.compatibility.bluetooth.header": "Browser ikke understøttet!", - "popup.compatibility.bluetooth.explain": "Din nuværende browser understøtter ikke bluetooth. Bluetooth bruges til at drive siden. Uden det virker den ikke.", - "popup.compatibility.bluetooth.advice": "Sikre at din browser er opdateret. Ellers kan du vælge en af de nedestående browsere, som understøtter bluetooth.", - - "popup.connectMB.USBCompatibility.transferStep.step1": "Åben placering af den firmware fil du lige har downloadet. Den findes oftest i din download mappe.", - "popup.connectMB.USBCompatibility.transferStep.step2": "Træk filen over i micro:bit'en gennem din computers stifinder.", - "popup.connectMB.USBCompatibility.transferStep.step3": "Når overførslen er færdig, kan du tilslutte din micro:bit med Bluetooth.", - - "compatibility.platform.notSupported": "Værktøjet er ikke understøttet på din nuværende platform.", - "compatibility.platform.notSupported.joinDesktop": "Vi ses på computer.", - "compatibility.webgl.notSupported": "WebGL er ikke tilgængelig. Aktiver WebGL for at se 3D data.", - - // CONNECTION LOST DIALOG - - "dialog.connection.lost.header": "Forbindelse offline", - "dialog.connection.lost.body": "Vi kan ikke oprette forbindelse til internettet, nogle funktioner virker muligvis ikke som forventet.", - - // OUTDATED MICROBIT WARNING - - "popup.outdatedmicrobit.header": "Din micro:bit mangler en opdatering.", - "popup.outdatedmicrobit.text": "Vi anbefaler stærkt at opdatere nu, nogle funktioner virker muligvis ikke som forventet.", - "popup.outdatedmicrobit.text.mkcd": "Åben den nyeste MakeCode skabelon for at bruge den opdaterede MakeCode extension.", - "popup.outdatedmicrobit.button.later": "Senere", - "popup.outdatedmicrobit.button.update": "Opdatér nu", - "popup.outdatedmicrobit.button.update.mkcd": "Åben MakeCode", - }, - "en": { - // ALERTS: - //In gesture.svelte - "alert.data.classNameLengthAlert": "Names must consists of maximum {{maxLen}} characters.", - "alert.recording.disconnectedDuringRecording":"micro:bit disconnected during recording", - - //In common.js - "alert.isRecording": "You are currently recording!", - "alert.isTesting": "You are currently recording!", - "alert.isTraining": "You are currently training a model!", - "alert.isNotConnected": "Your Micro:bit should be connected!", - "alert.deleteGestureConfirm": "Are you sure you want to delete the class ", - //In ml.ts - "alert.twoGestures": "You need at least two classes", - "alert.oneDataRepresentation": "You need at least one data representation", - "alert.recordingsPerGesture": "You need at least three examples per class", - // HOME PAGE: - "content.index.heading": "Do It Yourself Machine Learning", - "content.index.howBody": "Welcome to the ultra:bit data trainer. Experiment and play with machine larning and build your first machine learning models - start here!", - "content.index.ledDescription": "25 LED lights", - "content.index.recordButtonDescription": "\"Record\"-button", - "content.index.videoHeading": "Intro Video", - "content.index.setupBody2": "The website utilizes the bluetooth, accelerometer, LEDs, buttons, and sounds from the Micro:bit. Subsequetnly, you can connect the micro:bit to your computer via bluetooth without using the USB cable.", - "content.index.oldVersion": "You can finde the old version here:", - "content.index.contactButton": "Contact us", - "content.index.contactBody": "If you find errors and omissions on this platform, please feel free to write us. If you have any other requests, ideas or general interests, please feel free to contact us. The creators of this platform can be contacted at:", - "content.index.contactBodyGithub": "You can also visit our Github page:", - "content.index.contactMail": "keb@cs.au.dk", - "content.index.acknowledgement": "Developed by Center for Computational Thinking and Design, Aarhus University", - "content.index.newzHeading": "News", - "content.index.newzBodyMakecode": "You can now program around your model's output in MakeCode. See top bar on model page.", - "content.index.newzBodyViz": "We now have a vizualization of the data representaion.", - "content.index.MLHeading": "How does it work?", - "content.index.MLSubheading": "ML-Machine builds machine learning models to recognize patterns in the accelerometer data.", - "content.index.MLExplainer1": "With ML-Machine, you curate data samples of different gestures or movements, which a machine learning algorithm analyzes. It finds patterns in the data that can be used to predict/guess if the micro:bit is moved in circles, shaken, taped to the leg of the person jumping, etc.", - "content.index.MLExplainer2": "To achieve this, ml-machine.org makes a data representation of the samples by calculating specific properties of each sample, such as standard deviation, cumulated acceleration, and maximum value.", - "content.index.MLExplainer3": "The data representations of the data samples are shown to a neural network. The neural network “learns” from these examples by finding patterns in and between the samples.", - "content.index.MLExplainer4": "This training process results in a trained neural network (we also call it a machine learning model) that can guess/predict how the micro:bit is moved when the same properties (standard deviation, cumulated acceleration, maximum value, etc.) are calculated from the live accelerometer data.", - // DATA PAGE: - "content.data.classPlaceholderNewClass": "Press here to change name", - "content.data.record": "Record", - "content.data.addData": "Add Data", - "content.data.classHelpHeader": "Class", - "content.data.classHelpBody": "A class describes a type of gesture. We can record examples of a certain type of gesture and put the examples in the same class. The trainer can find patterns in the examples/data and use these patterns to 'train' a model that can recognize this class of gestures. Multiple examples will typically result in a better model, and consider how many different ways a gesture can be performed.", - "content.data.classification": "Classes", - "content.data.data": "Data", - "content.data.choice": "Choice", - "content.data.choice.header": "Choice of class", - "content.data.choice.body": "Here, you choose which class you want to add data to. After having selected a class, you can either press the \"Record\" button below or press one of the buttons on your micro:bit to record a data segment. See the picture below.", - - "content.data.dataDescription": "Here you can see the gathered data. ", - "content.data.addDataNoConnection": "You cannot add data without being connected with a micro:bit", - "content.data.noData": "You do not have any gestures to train on. Add the gestures you wish the micro:bit should learn to recognise.", - - "content.data.controlbar.button.clearData": "Clear examples", - "content.data.controlbar.button.clearData.confirm": "Are you sure you wish to delete all gesture examples?\nThis cannot be undone.", - "content.data.controlbar.button.downloadData": "Download dataset", - "content.data.controlbar.button.uploadData": "Upload dataset", - - // TRAINER PAGE: - "content.trainer.failure.header": "Training Failed", - "content.trainer.failure.body": "The training did not result in a usable model. The reason for this is most likely the data used for training. If the data for different classes are too similar, this can result in issues in the training process.", - "content.trainer.failure.todo": "Return to the data page and change your data.", - "content.trainer.controlbar.filters": "Filters", - - // FILTER PAGE - "content.filters.NoDataHeader": "No available data", - "content.filters.NoDataBody": "Go to the Data page to collect data samples.", - "content.filters.max.title" : "Max values", - "content.filters.max.description" : "The maximum point among all datapoints in a gesture.", - "content.filters.min.title" : "Minimum values", - "content.filters.min.description" : "The minimum point among all datapoints in a gesture.", - "content.filters.std.title" : "Standard deviation", - "content.filters.std.description" : "The average deviation from 0 among all datapoints in a gesture.", - "content.filters.peaks.title" : "Number of extremes", - "content.filters.peaks.description" : "The number of extremes among all datapoints in a gesture.", - "content.filters.acc.title" : "Total acceleration", - "content.filters.acc.description" : "The sum of acceleration for the whole gesture, calculated in absolute values. Good for understanding the amount of movement.", - "content.filters.mean.title" : "Mean", - "content.filters.mean.description": "Mean value of accelerations", - "content.filters.zcr.title" : "Zero crossing rate", - "content.filters.zcr.description": "The rate at which the input (acceleration) transitions between positive and negative.", - "content.filters.rms.title" : "Root mean square", - "content.filters.rms.description": "", - - // MODEL PAGE: - "content.model.trainModelFirstHeading": "Train the model first!", - "content.model.trainModelFirstBody": "Go to the 'Trainer' page", - "content.model.classification.helpHeading": "Probabil-ometer", - "content.model.classification.helpBody": "For each prediction you make, the model will produce a percentage that describes how confident the model is in its prediction. This meter goes from 0% to 100%. With the slider next to it, you can determine the limit of how certain the model should be in its preduction to make an output (e.g. play a sound)", - "content.model.output.soundOptionCongratulations": "Congratulations", - "content.model.output.soundOptionHighPitchBeep": "High pitch beep", - "content.model.output.soundOptionLowPitchBeep": "Low pitch beep", - "content.model.output.soundOptionLoser": "Loser", - "content.model.output.soundOptionMistake": "Mistake", - "content.model.output.soundOptionHugeMistake": "Huge Mistake", - - "content.model.output.pin.option.allTime": "Always on", - "content.model.output.pin.option.xTime": "For time", - "content.model.output.pin.seconds": "Seconds", - - "content.model.output.prediction.iconTitle": "Prediction", - "content.model.output.prediction.descriptionTitle": "Prediction", - "content.model.output.prediction.descriptionBody": "Here you can see the model's prediction of the current gesture. In the meter, you can see how confident the model is in the prediction.", - - "content.model.output.ledOutput.descriptionTitle": "LED output", - "content.model.output.ledOutput.descriptionBody": "Here you can choose how the LEDs on your output micro:bit behaves when your model makes predictions. Try draw some patterns and see how they show on the output micro:bit when you move the input micro:bit.", - - "content.model.output.sound.iconTitle": "Sound", - "content.model.output.sound.descriptionTitle": "Playback of sound", - "content.model.output.sound.descriptionBody": "Here you can choose which sound you output micro:bit plays when the model makes a prediction. Be aware that the sound plays from your computer if you have a micro:bit version 1.", - - "content.model.output.pin.iconTitle": "Pin", - "content.model.output.pin.descriptionTitle": "Pin outputs", - "content.model.output.pin.descriptionBody": "Here you can select which pin will turn on when a gesture is predicted. Each pins are numbered according to micro:bit's official pin output diagram.", - - "content.model.output.popup.header": "Connect output micro:bit", - "content.model.output.popup.body": "If you have not connected an output micro:bit, you cannot see the results of the changed made on this page. Use the connect button below", - - // FOOTER: - "footer.connectButtonNotConnected": "Connect your micro:bit", - "footer.disconnectButton": "Disconnect", - "footer.helpHeader": "Live graph", - "footer.helpContent": "Once you have connected a micro:bit you can watch the accelerometer data for all three axes on this graph in real time. Try moving your connected micro:bit to see what the data looks like to your computer!", - "footer.reconnecting":"Reconnecting. Please wait", - //DATA MENU: - "menu.data.helpHeading": "Data", - "menu.data.helpBody": "In order to train a model to recognize different movements, we need good examples of 'good behavior' that we can show the Trainer. Here you can create classes (types of gestures) and record examples for each class. There must be at least 2 classes with 3 examples each before the trainer can train a model.", - "menu.data.examples": "examples", - // TRAINER MENU: - "menu.trainer.helpHeading": "Trainer", - "menu.trainer.helpBody": "The Trainer looks at the examples in each of the classes and tries to 'learn' how the different classes can be recognized by searching for patterns in the data. Here you can train a model to recognize different gestures.", // In addition, you can configure the trainer, choose how the trainer should interpret the data and create test sets.", - "menu.trainer.notConnected1": "You have not connected a micro:bit.", - "menu.trainer.notConnected2": " Please do so via the button below", - "menu.trainer.notEnoughDataHeader1": "Not Enough Data\nGo to Data page", - "menu.trainer.notEnoughDataInfoBody": "You need at least 2 classes with 3 examples each to attempt to train a model.", - "menu.trainer.notEnoughDataInfo": "You have not collected enough data to train a model. You need at least 2 classes with 3 examples each. Please go to the Data page to collect more data", - "menu.trainer.trainModelButton": "Train model", - "menu.trainer.trainNewModelButton": "Train a new model", - "menu.trainer.TrainingFinished": "Training done", - "menu.trainer.TrainingFinished.body": "Go to the Model-page to examine how well your model works", - "menu.trainer.isTrainingModelButton": "Training model", - // MODEL MENU: - "menu.model.helpHeading": "Model", - "menu.model.helpBody": "The model can be used in an interactive system. Here we use the trained model to predict gestures. You can connect another micro:bit and make it respond to the predicted gestures.", - "menu.model.noModel": "No model", - "menu.model.connectOutputButton": "Connect output micro:bit", - "menu.model.disconnect": "Disconnect output micro:bit", - //CONNECT MICROBIT POP UP: - - "popup.connectMB.main.bluetooth.subtitle": "Connect using Bluetooth", - - "popup.connectMB.bluetooth.heading": "Connect using Bluetooth", - "popup.connectMB.bluetooth.cancelledConnection": "You cancelled the connection process. Try again, if you wish to proceed.", - "popup.connectMB.bluetooth.step0": "Connect your micro:bit to a battery", - "popup.connectMB.bluetooth.step1": "Draw the pattern as displayed on the micro:bit", - "popup.connectMB.bluetooth.step2": "Press the 'Connect' button below.", - "popup.connectMB.bluetooth.step3": "Select your micro:bit and press 'Connect'.", - "popup.connectMB.bluetooth.connect": "Connect", - "popup.connectMB.bluetooth.connecting": "Connecting...", - "popup.connectMB.bluetooth.invalidPattern": "The pattern you drew is invalid", - "popup.connectMB.bluetooth.timeouted": "Not seeing a connection prompt? Try refreshing the page.", - - "popup.disconnectedWarning.input": "Your input micro:bit lost connection, do want to try again?", - "popup.disconnectedWarning.output": "Your output micro:bit lost connection, do want to try again?", - "popup.disconnectedWarning.reconnectButton.input": "Reconnect input", - "popup.disconnectedWarning.reconnectButton.output": "Reconnect output", - - // NEW CONNECTION PROMPTS - TODO: Rename, merge with above and clean up - - "connectMB.main.usbHeader": "DOWNLOAD PROGRAM TO MICRO:BIT", - "connectMB.main.btHeader": "CONNECT YOUR MICRO:BIT USING BLUETOOTH", - "connectMB.main.usbBody": "If you have not previously downloaded the program", - "connectMB.main.btBody": "If you have already downloaded the program", - "connectMB.main.connectButton": "Connect", - "connectMB.main.installButton": "Download", - - "connectMB.output.header": "A micro:bit is already connected", - - "connectMB.usb.header": "DOWNLOAD PROGRAM TO MICRO:BIT", - "connectMB.usb.body1": "Connect your micro:bit using a USB-cable and click 'Next'", - "connectMB.usb.body2": "Click 'Find USB unit' and select 'BBC micro:bit CMSIS-DAP' or 'DAPLink CMSIS-DAP' from the popup that appears", - "connectMB.usb.button1": "Next", - "connectMB.usb.button2": "Find USB unit", - "connectMB.usb.pleaseWait": "Please wait. Downloading program to the micro:bit", - "connectMB.usb.done.body1": "Done - the program has been downloaded.", - "connectMB.usb.done.body2": "You can now connect through bluetooth.", - "connectMB.usb.done.body3": "If you have a battery for the micro:bit, you can now remove the usb-cable and use the battery instead.", - "connectMB.usb.done.body4": "If you do not have a battery for the micro:bit, you can simply keep powering it through the usb cable.", - - "connectMB.usb.manual.header": "Transfer file to your micro:bit", - "connectMB.usb.manual.manualDownload": "If the file did not automatically download press", - "connectMB.usb.manual.manualDownloadLink": "here", - "connectMB.usb.manual.done": "Done: Connect using bluetooth", - - "connectMB.usb.firmwareBroken.warning":"We detected issues with your micro:bit firmware", - "connectMB.usb.firmwareBroken.content1":"The version of micro:bit and firmware have known issues, that prevent us from uploading the program to it.", - "connectMB.usb.firmwareBroken.content2":"To proceed, you will have to transfer manually, or update your micro:bit's firmware.", - "connectMB.usb.firmwareBroken.content3":"We recommend that you upgrade the firmware of your micro:bit to the latest version to fix this issue.", - "connectMB.usb.firmwareBroken.content4":"A guide on how can be found on the ", - "connectMB.usb.firmwareBroken.content4.website":"micro:bit foundation's website", - "connectMB.usb.firmwareBroken.button.skip":"Skip and transfer manually", - - "connectMB.outputMB.same": "Use the same micro:bit", - "connectMB.outputMB.different": "Connect another micro:bit", - "connectMB.outputMB.sameButton": "Same", - "connectMB.outputMB.otherButton": "Other", - // COOKIE BANNER - - "cookies.banner.title": "Cookie policy", - "cookies.banner.subtitle": "Performance & analytics", - "cookies.banner.text.pleaseHelp": "Please help us make it better by keeping the cookies enabled.", - "cookies.banner.text.description": "Here at ML-Machine we use cookies to collect information on the usage and performance of the website. Without these cookies, we will not be able to collect vital information on the performance of the site.", - "cookies.banner.text.readMore": "You can read more about it ", - "cookies.banner.text.readMore.here": "here", - "cookies.banner.buttons.reject": "Reject", - "cookies.banner.buttons.accept": "Accept", - - "cookies.overlay.title": "Cookie policy", - - "cookies.overlay.question.whatAreCookies": "What are cookies?", - "cookies.overlay.question.ourReasoning": "What do we use cookies for?", - "cookies.overlay.question.storageDuration": "For how long are cookies stored?", - "cookies.overlay.question.deleting": "How do i delete cookies?", - "cookies.overlay.question.consentChange": "How do i change my consent?", - - "cookies.overlay.answer.whatAreCookies": "Cookies are small data files stored on the device you are using to browse websites. They are not programs, that contain harmful malware or viruses.", - "cookies.overlay.answer.ourReasoning": "We use cookies to collect information on the usage and performance of the website. Without these cookies, we will not be able to collect vital information on the performance of the site.", - "cookies.overlay.answer.storageDuration": "It varies from site to site and the usage of the cookie. Some may be stored for only the current session, while others may be stored for days. Our cookies are stored for one year.", - "cookies.overlay.answer.deleting": "It varies from browser to browser. However here are some of the manuals for some of the most commonly used browsers.", - "cookies.overlay.answer.consentChange": "Currently, you have not rejected nor agreed to our cookie policy. But once you do, you will be able to delete cookies to change your consent at any time.", - - "cookies.overlay.table.title": "The cookies we use", - "cookies.overlay.table.header.description": "Description", - - "cookies.overlay.table.row.ai_user.description": "Used by Microsoft Application Insights software to collect statistical usage and telemetry information. The cookie stores a unique identifier to recognise users on returning visits over time.", - "cookies.overlay.table.row.ai_session.description": "Preserves users states across page requests.", - "cookies.overlay.table.row.cookie_consent.description": "Stores the terms to which you have given consent to in regards to our cookie policy.", - - // COMPATIBILITY WARNING - "popup.compatibility.bluetooth.header": "Bluetooth incompatible browser!", - "popup.compatibility.bluetooth.explain": "The browser you are currently using does not support bluetooth.", - "popup.compatibility.bluetooth.advice": "Please update the browser or use another one from our supported browsers list below.", - - "popup.connectMB.USBCompatibility.transferStep.step1": "Open the location to which the firmware was downloaded. Most commonly found in your download folder.", - "popup.connectMB.USBCompatibility.transferStep.step2": "Drag the file onto the micro:bit on your computer's file explorer.", - "popup.connectMB.USBCompatibility.transferStep.step3": "Once the file has finished transferring, the micro:bit can be connected using Bluetooth.", - - "compatibility.platform.notSupported": "The tool is not supported on your current platform.", - "compatibility.platform.notSupported.joinDesktop": "Join us on desktop.", - "compatibility.webgl.notSupported": "WebGL not available. Enable WebGL to see 3D data view.", - - // CONNECTION LOST DIALOG - - "dialog.connection.lost.header": "Connection offline", - "dialog.connection.lost.body": "Your internet connection is offline, some features may not work properly", - - // OUTDATED MICROBIT WARNING - - "popup.outdatedmicrobit.header": "Your micro:bit firmware is outdated.", - "popup.outdatedmicrobit.text": "We strongly recommend that you update it now, as some features may not work as expected.", - "popup.outdatedmicrobit.text.mkcd": "Open the newest MakeCode template to use the updated extension.", - "popup.outdatedmicrobit.button.later": "Later", - "popup.outdatedmicrobit.button.update": "Update now", - "popup.outdatedmicrobit.button.update.mkcd": "Open MakeCode", - } -}; - \ No newline at end of file diff --git a/src/views/OverlayView.svelte b/src/views/OverlayView.svelte index a3fac5a58..3bccd3682 100644 --- a/src/views/OverlayView.svelte +++ b/src/views/OverlayView.svelte @@ -9,9 +9,9 @@ import { fade } from 'svelte/transition'; import { message, state } from '../script/stores/uiStore'; import ReconnectPrompt from '../components/ReconnectPrompt.svelte'; - import ConnectionOfflineWarning from '../components/ConnectionOfflineWarning.svelte'; import OutdatedMicrobitWarning from '../components/OutdatedMicrobitWarning.svelte'; import { isInputPatternValid } from '../script/stores/connectionStore'; + import FilterListFilterPreview from '../components/filters/FilterListFilterPreview.svelte'; // Helps show error messages on top of page let latestMessage = ''; @@ -56,5 +56,5 @@ {#if $state.isInputOutdated || $state.isOutputOutdated} {/if} - +
diff --git a/src/views/SideBarMenuView.svelte b/src/views/SideBarMenuView.svelte index 090c81ef9..1fbd43ebe 100644 --- a/src/views/SideBarMenuView.svelte +++ b/src/views/SideBarMenuView.svelte @@ -9,9 +9,10 @@ import Menus, { MenuProperties } from '../script/navigation/Menus'; import MenuButton from '../menus/MenuButton.svelte'; import { get } from 'svelte/store'; - import Environment from '../script/Environment.js'; + import Environment from '../script/Environment'; import { Paths, currentPath, navigate } from '../router/paths'; import { state } from '../script/stores/uiStore'; + import { Feature, getFeature } from '../script/FeatureToggles'; $: shouldBeExpanded = (menuProps: MenuProperties) => { let path = $currentPath; @@ -34,7 +35,7 @@

- {Environment.pageTitle} + {getFeature(Feature.TITLE)}