From 490e95ecd26f5eabe41215a630c0d15111d5bf2d Mon Sep 17 00:00:00 2001 From: thomasrosen Date: Thu, 21 Jan 2021 22:03:42 +0000 Subject: [PATCH] thomasrosen published a site update --- asset-manifest.json | 67 +++++++++--------- index.html | 2 +- ...e2e36cbd.chunk.js => 10.812bcdbd.chunk.js} | 4 +- ....chunk.js.map => 10.812bcdbd.chunk.js.map} | 2 +- ...c27d3fb4.chunk.js => 11.0b771e23.chunk.js} | 4 +- static/js/11.0b771e23.chunk.js.map | 1 + static/js/11.c27d3fb4.chunk.js.map | 1 - ...2383ce8c.chunk.js => 12.0eceec8b.chunk.js} | 4 +- static/js/12.0eceec8b.chunk.js.map | 1 + static/js/12.2383ce8c.chunk.js.map | 1 - ....9b48ff45.chunk.js => 4.0a22e011.chunk.js} | 4 +- static/js/4.0a22e011.chunk.js.map | 1 + static/js/4.9b48ff45.chunk.js.map | 1 - static/js/5.2aa21624.chunk.js.map | 1 - ....2aa21624.chunk.js => 5.f39be939.chunk.js} | 4 +- static/js/5.f39be939.chunk.js.map | 1 + ....bb3b5b21.chunk.js => 6.af364642.chunk.js} | 4 +- static/js/6.af364642.chunk.js.map | 1 + 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volt-logo-64.png | Bin 2668 -> 1767 bytes 55 files changed, 68 insertions(+), 87 deletions(-) rename static/js/{10.e2e36cbd.chunk.js => 10.812bcdbd.chunk.js} (73%) rename static/js/{10.e2e36cbd.chunk.js.map => 10.812bcdbd.chunk.js.map} (52%) rename static/js/{11.c27d3fb4.chunk.js => 11.0b771e23.chunk.js} (72%) create mode 100644 static/js/11.0b771e23.chunk.js.map delete mode 100644 static/js/11.c27d3fb4.chunk.js.map rename static/js/{12.2383ce8c.chunk.js => 12.0eceec8b.chunk.js} (72%) create mode 100644 static/js/12.0eceec8b.chunk.js.map delete mode 100644 static/js/12.2383ce8c.chunk.js.map rename static/js/{4.9b48ff45.chunk.js => 4.0a22e011.chunk.js} (73%) create mode 100644 static/js/4.0a22e011.chunk.js.map delete mode 100644 static/js/4.9b48ff45.chunk.js.map delete mode 100644 static/js/5.2aa21624.chunk.js.map rename static/js/{5.2aa21624.chunk.js => 5.f39be939.chunk.js} (73%) create mode 100644 static/js/5.f39be939.chunk.js.map rename static/js/{6.bb3b5b21.chunk.js => 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"}}]); 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setFrames(new_frames)\n setChoosenFrame(new_frames[0].src.default)\n })\n }\n loadFrames()\n }, [])\n\n const handleImageChoosing = useCallback(event => {\n setChoosenFrame(event.target.dataset.src)\n }, [setChoosenFrame])\n\n useEffect(() => {\n onFrameChange(choosenFrame)\n }, [onFrameChange, choosenFrame])\n\n return (\n
\n

Choose a frame:

\n {\n frames.map(frame => {\n const frame_src_path = frame.src.default\n const isChoosen = choosenFrame === frame_src_path\n return {frame.name}\n })\n } \n
\n )\n}\n\nexport default FrameChooser\n","export default __webpack_public_path__ + \"static/media/HeaderImage.f98423dd.svg\";","import { useState, useEffect, useCallback } from 'react'\nimport './App.css'\nimport { useDropzone } from 'react-dropzone'\nimport FrameChooser from './FrameChooser.js'\nimport HeaderImage from './HeaderImage.svg'\n\nimport mergeImages from 'merge-images'\n\nconst frameSize = 1080\n\nfunction App() {\n const [frameURL, setFrameURL] = useState(null)\n const [originalPhoto, setOriginalPhoto] = useState(null)\n const [photo, setPhoto] = useState(null)\n const [combinedImage, setCombinedImage] = useState(null)\n\n const handleFrameURL = useCallback(newFrameURL => {\n setFrameURL(newFrameURL)\n }, [setFrameURL])\n\n\n const handleReadFile = useCallback(file => {\n if (!(!!file)) {\n return;\n }\n\n const reader = new FileReader()\n reader.onload = reader_event => {\n const img = new Image()\n img.onload = function () {\n const offscreenCanvas = document.createElement('canvas')\n offscreenCanvas.width = frameSize\n offscreenCanvas.height = frameSize\n\n const offscreenCanvas_ctx = offscreenCanvas.getContext('2d', { alpha: true })\n\n let width, height;\n if (img.width < img.height) {\n height = (img.height / img.width) * frameSize\n width = frameSize\n } else {\n height = frameSize\n width = (img.width / img.height) * frameSize\n }\n \n offscreenCanvas_ctx.drawImage(\n img,\n (frameSize - width) / 2,\n (frameSize - height) / 2,\n width,\n height,\n )\n\n const pngUrl = offscreenCanvas.toDataURL()\n setPhoto(pngUrl)\n }\n img.src = reader_event.target.result\n setOriginalPhoto(reader_event.target.result)\n }\n reader.readAsDataURL(file)\n }, [])\n\n const handleImage = useCallback(files_event => {\n handleReadFile(files_event.target.files[0])\n }, [handleReadFile])\n\n const onDrop = useCallback(acceptedFiles => {\n handleReadFile(acceptedFiles[0])\n }, [handleReadFile])\n\n const { isDragActive, getRootProps } = useDropzone({\n onDrop,\n accept: 'image/*',\n maxFiles: 1,\n noKeyboard: true,\n })\n\n\n useEffect(() => {\n mergeImages([\n ...(photo ? [photo] : []),\n ...(frameURL ? [frameURL] : []),\n ])\n .then(b64 => setCombinedImage(b64))\n }, [photo, frameURL])\n\n\n return (\n
\n \"Volt\n\n
\n Drop your photo here ...\n
\n\n

Choose your Photo:

\n

It should best be a square image or your face in the middle. The photo is not saved and never leaves your computer.

\n\n \n\n \n\n

Download your Photo:

\n \"Finished\n \n \n \n
\n )\n}\n\nexport default App\n","const reportWebVitals = onPerfEntry => {\n if (onPerfEntry && onPerfEntry instanceof Function) {\n import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {\n getCLS(onPerfEntry)\n getFID(onPerfEntry)\n getFCP(onPerfEntry)\n getLCP(onPerfEntry)\n getTTFB(onPerfEntry)\n })\n }\n}\n\nexport default reportWebVitals\n","import React from 'react'\nimport ReactDOM from 'react-dom'\nimport App from './App'\nimport reportWebVitals from './reportWebVitals'\n\nReactDOM.render(\n \n \n ,\n document.getElementById('root')\n)\n\n// If you want to start measuring performance in your app, pass a function\n// to log results (for example: reportWebVitals(console.log))\n// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals\nreportWebVitals()\n"],"sourceRoot":""} \ No newline at end of file +{"version":3,"sources":["frames lazy /^/.//.*/.png$/ groupOptions: {} namespace 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map = {\n\t\"./ProfileFrame B&G Bars.png\": [\n\t\t26,\n\t\t4\n\t],\n\t\"./ProfileFrame Blue Bars.png\": [\n\t\t27,\n\t\t5\n\t],\n\t\"./ProfileFrame Green Bars.png\": [\n\t\t28,\n\t\t6\n\t],\n\t\"./ProfileFrame Mixed Bars.png\": [\n\t\t29,\n\t\t7\n\t],\n\t\"./ProfileFrame Purple.png\": [\n\t\t30,\n\t\t8\n\t],\n\t\"./ProfileFrame R&Y Bars.png\": [\n\t\t31,\n\t\t9\n\t],\n\t\"./ProfileFrame Red Bars.png\": [\n\t\t32,\n\t\t10\n\t],\n\t\"./ProfileFrame White Bars.png\": [\n\t\t33,\n\t\t11\n\t],\n\t\"./ProfileFrame Yellow Bars.png\": [\n\t\t34,\n\t\t12\n\t]\n};\nfunction webpackAsyncContext(req) {\n\tif(!__webpack_require__.o(map, req)) {\n\t\treturn Promise.resolve().then(function() {\n\t\t\tvar e = new Error(\"Cannot find module '\" + req + \"'\");\n\t\t\te.code = 'MODULE_NOT_FOUND';\n\t\t\tthrow e;\n\t\t});\n\t}\n\n\tvar ids = map[req], id = ids[0];\n\treturn __webpack_require__.e(ids[1]).then(function() {\n\t\treturn __webpack_require__(id);\n\t});\n}\nwebpackAsyncContext.keys = function webpackAsyncContextKeys() {\n\treturn Object.keys(map);\n};\nwebpackAsyncContext.id = 24;\nmodule.exports = webpackAsyncContext;","import { useState, useEffect, useCallback } from 'react'\n\nfunction FrameChooser({onFrameChange}) {\n const [frames, setFrames] = useState([])\n const [choosenFrame, setChoosenFrame] = useState(null)\n\n useEffect(() => {\n async function loadFrames(){\n Promise.all(\n [\n 'ProfileFrame Purple',\n 'ProfileFrame Yellow Bars',\n 'ProfileFrame Red Bars',\n 'ProfileFrame Blue Bars',\n 'ProfileFrame Green Bars',\n 'ProfileFrame White Bars',\n 'ProfileFrame Mixed Bars',\n 'ProfileFrame R&Y Bars',\n 'ProfileFrame B&G Bars',\n ]\n .map(async frame_filename => {\n return {\n name: frame_filename,\n src: await import(`./frames/${frame_filename}.png`),\n }\n })\n )\n .then(new_frames => {\n setFrames(new_frames)\n setChoosenFrame(new_frames[0].src.default)\n })\n }\n loadFrames()\n }, [])\n\n const handleImageChoosing = useCallback(event => {\n setChoosenFrame(event.target.dataset.src)\n }, [setChoosenFrame])\n\n useEffect(() => {\n onFrameChange(choosenFrame)\n }, [onFrameChange, choosenFrame])\n\n return (\n
\n

Choose a frame:

\n {\n frames.map(frame => {\n const frame_src_path = frame.src.default\n const isChoosen = choosenFrame === frame_src_path\n return {frame.name}\n })\n } \n
\n )\n}\n\nexport default FrameChooser\n","export default __webpack_public_path__ + \"static/media/HeaderImage.1f39a672.svg\";","import { useState, useEffect, useCallback } from 'react'\nimport './App.css'\nimport { useDropzone } from 'react-dropzone'\nimport FrameChooser from './FrameChooser.js'\nimport HeaderImage from './HeaderImage.svg'\n\nimport mergeImages from 'merge-images'\n\nconst frameSize = 1080\n\nfunction App() {\n const [frameURL, setFrameURL] = useState(null)\n const [originalPhoto, setOriginalPhoto] = useState(null)\n const [photo, setPhoto] = useState(null)\n const [combinedImage, setCombinedImage] = useState(null)\n\n const handleFrameURL = useCallback(newFrameURL => {\n setFrameURL(newFrameURL)\n }, [setFrameURL])\n\n\n const handleReadFile = useCallback(file => {\n if (!(!!file)) {\n return;\n }\n\n const reader = new FileReader()\n reader.onload = reader_event => {\n const img = new Image()\n img.onload = function () {\n const offscreenCanvas = document.createElement('canvas')\n offscreenCanvas.width = frameSize\n offscreenCanvas.height = frameSize\n\n const offscreenCanvas_ctx = offscreenCanvas.getContext('2d', { alpha: true })\n\n let width, height;\n if (img.width < img.height) {\n height = (img.height / img.width) * frameSize\n width = frameSize\n } else {\n height = frameSize\n width = (img.width / img.height) * frameSize\n }\n \n offscreenCanvas_ctx.drawImage(\n img,\n (frameSize - width) / 2,\n (frameSize - height) / 2,\n width,\n height,\n )\n\n const pngUrl = offscreenCanvas.toDataURL()\n setPhoto(pngUrl)\n }\n img.src = reader_event.target.result\n setOriginalPhoto(reader_event.target.result)\n }\n reader.readAsDataURL(file)\n }, [])\n\n const handleImage = useCallback(files_event => {\n handleReadFile(files_event.target.files[0])\n }, [handleReadFile])\n\n const onDrop = useCallback(acceptedFiles => {\n handleReadFile(acceptedFiles[0])\n }, [handleReadFile])\n\n const { isDragActive, getRootProps } = useDropzone({\n onDrop,\n accept: 'image/*',\n maxFiles: 1,\n noKeyboard: true,\n })\n\n\n useEffect(() => {\n mergeImages([\n ...(photo ? [photo] : []),\n ...(frameURL ? [frameURL] : []),\n ])\n .then(b64 => setCombinedImage(b64))\n }, [photo, frameURL])\n\n\n return (\n
\n \"Volt\n\n
\n Drop your photo here ...\n
\n\n

Choose your Photo:

\n

It should best be a square image or your face in the middle. The photo is not saved and never leaves your computer.

\n\n \n\n \n\n

Download your Photo:

\n \"Finished\n \n \n \n
\n )\n}\n\nexport default App\n","const reportWebVitals = onPerfEntry => {\n if (onPerfEntry && onPerfEntry instanceof Function) {\n import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {\n getCLS(onPerfEntry)\n getFID(onPerfEntry)\n getFCP(onPerfEntry)\n getLCP(onPerfEntry)\n getTTFB(onPerfEntry)\n })\n }\n}\n\nexport default reportWebVitals\n","import React from 'react'\nimport ReactDOM from 'react-dom'\nimport App from './App'\nimport reportWebVitals from './reportWebVitals'\n\nReactDOM.render(\n \n \n ,\n document.getElementById('root')\n)\n\n// If you want to start measuring performance in your app, pass a function\n// to log results (for example: reportWebVitals(console.log))\n// or send to an analytics endpoint. 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