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authoreleanor-park <eleanor_park@brown.edu>2024-10-20 12:44:15 -0400
committereleanor-park <eleanor_park@brown.edu>2024-10-20 12:44:15 -0400
commit3b17868560090756caf8b9b0f043ea163f2320e8 (patch)
treed748a5fa923f28e2f4e399a8846ea38aa06b78a7 /src/client/views/nodes/imageEditor/imageToolUtils/ImageHandler.ts
parentfc06a98deec3fa2b173f8ea30a4f4b1781447b19 (diff)
changes
Diffstat (limited to 'src/client/views/nodes/imageEditor/imageToolUtils/ImageHandler.ts')
-rw-r--r--src/client/views/nodes/imageEditor/imageToolUtils/ImageHandler.ts312
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diff --git a/src/client/views/nodes/imageEditor/imageToolUtils/ImageHandler.ts b/src/client/views/nodes/imageEditor/imageToolUtils/ImageHandler.ts
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+import { RefObject } from 'react';
+import { bgColor, canvasSize } from '../imageEditorUtils/imageEditorConstants';
+
+export interface APISuccess {
+ status: 'success';
+ urls: string[];
+}
+
+export interface APIError {
+ status: 'error';
+ message: string;
+}
+
+export class ImageUtility {
+ /**
+ *
+ * @param canvas Canvas to convert
+ * @returns Blob of canvas
+ */
+ static canvasToBlob = (canvas: HTMLCanvasElement): Promise<Blob> =>
+ new Promise(resolve => {
+ canvas.toBlob(blob => {
+ if (blob) {
+ resolve(blob);
+ }
+ }, 'image/png');
+ });
+
+ // given a square api image, get the cropped img
+ static getCroppedImg = (img: HTMLImageElement, width: number, height: number): HTMLCanvasElement | undefined => {
+ // Create a new canvas element
+ const canvas = document.createElement('canvas');
+ canvas.width = width;
+ canvas.height = height;
+ const ctx = canvas.getContext('2d');
+ if (ctx) {
+ // Clear the canvas
+ ctx.clearRect(0, 0, canvas.width, canvas.height);
+ if (width < height) {
+ // horizontal padding, x offset
+ const xOffset = (canvasSize - width) / 2;
+ ctx.drawImage(img, xOffset, 0, canvas.width, canvas.height, 0, 0, canvas.width, canvas.height);
+ } else {
+ // vertical padding, y offset
+ const yOffset = (canvasSize - height) / 2;
+ ctx.drawImage(img, 0, yOffset, canvas.width, canvas.height, 0, 0, canvas.width, canvas.height);
+ }
+ return canvas;
+ }
+ return undefined;
+ };
+
+ // converts an image to a canvas data url
+ static convertImgToCanvasUrl = async (imageSrc: string, width: number, height: number): Promise<string> =>
+ new Promise<string>((resolve, reject) => {
+ const img = new Image();
+ img.onload = () => {
+ const canvas = this.getCroppedImg(img, width, height);
+ if (canvas) {
+ const dataUrl = canvas.toDataURL();
+ resolve(dataUrl);
+ }
+ };
+ img.onerror = error => {
+ reject(error);
+ };
+ img.src = imageSrc;
+ });
+
+ // calls the openai api to get image edits
+ static getEdit = async (imgBlob: Blob, maskBlob: Blob, prompt: string, n?: number): Promise<APISuccess | APIError> => {
+ const apiUrl = 'https://api.openai.com/v1/images/edits';
+ const fd = new FormData();
+ fd.append('image', imgBlob, 'image.png');
+ fd.append('mask', maskBlob, 'mask.png');
+ fd.append('prompt', prompt);
+ fd.append('size', '1024x1024');
+ fd.append('n', n ? JSON.stringify(n) : '1');
+ fd.append('response_format', 'b64_json');
+
+ try {
+ const res = await fetch(apiUrl, {
+ method: 'POST',
+ headers: {
+ Authorization: `Bearer ${process.env.OPENAI_KEY}`,
+ },
+ body: fd,
+ });
+ const data = await res.json();
+ console.log(data.data);
+ return {
+ status: 'success',
+ urls: (data.data as { b64_json: string }[]).map(urlData => `data:image/png;base64,${urlData.b64_json}`),
+ };
+ } catch (err) {
+ console.log(err);
+ return { status: 'error', message: 'API error.' };
+ }
+ };
+
+ // mock api call
+ static mockGetEdit = async (mockSrc: string): Promise<APISuccess | APIError> => ({
+ status: 'success',
+ urls: [mockSrc, mockSrc, mockSrc],
+ });
+
+ // Gets the canvas rendering context of a canvas
+ static getCanvasContext = (canvasRef: RefObject<HTMLCanvasElement>): CanvasRenderingContext2D | null => {
+ if (!canvasRef.current) return null;
+ const ctx = canvasRef.current.getContext('2d');
+ if (!ctx) return null;
+ return ctx;
+ };
+
+ // Helper for downloading the canvas (for debugging)
+ static downloadCanvas = (canvas: HTMLCanvasElement) => {
+ const url = canvas.toDataURL();
+ const downloadLink = document.createElement('a');
+ downloadLink.href = url;
+ downloadLink.download = 'canvas';
+
+ downloadLink.click();
+ downloadLink.remove();
+ };
+
+ // Download the canvas (for debugging)
+ static downloadImageCanvas = (imgUrl: string) => {
+ const img = new Image();
+ img.src = imgUrl;
+ img.onload = () => {
+ const canvas = document.createElement('canvas');
+ canvas.width = canvasSize;
+ canvas.height = canvasSize;
+ const ctx = canvas.getContext('2d');
+ ctx?.drawImage(img, 0, 0, canvasSize, canvasSize);
+
+ this.downloadCanvas(canvas);
+ };
+ };
+
+ // Clears the canvas
+ static clearCanvas = (canvasRef: React.RefObject<HTMLCanvasElement>) => {
+ const ctx = this.getCanvasContext(canvasRef);
+ if (!ctx || !canvasRef.current) return;
+ ctx.clearRect(0, 0, canvasRef.current.width, canvasRef.current.height);
+ };
+
+ // Draws the image to the current canvas
+ static drawImgToCanvas = (img: HTMLImageElement, canvasRef: React.RefObject<HTMLCanvasElement>, width: number, height: number) => {
+ const drawImg = (htmlImg: HTMLImageElement) => {
+ const ctx = this.getCanvasContext(canvasRef);
+ if (!ctx) return;
+ ctx.globalCompositeOperation = 'source-over';
+ ctx.clearRect(0, 0, width, height);
+ ctx.drawImage(htmlImg, 0, 0, width, height);
+ };
+
+ if (img.complete) {
+ drawImg(img);
+ } else {
+ img.onload = () => {
+ drawImg(img);
+ };
+ }
+ };
+
+ // Gets the image mask for the openai endpoint
+ static getCanvasMask = (srcCanvas: HTMLCanvasElement, paddedCanvas: HTMLCanvasElement): HTMLCanvasElement | undefined => {
+ const canvas = document.createElement('canvas');
+ canvas.width = canvasSize;
+ canvas.height = canvasSize;
+ const ctx = canvas.getContext('2d');
+ if (!ctx) return undefined;
+ ctx?.clearRect(0, 0, canvasSize, canvasSize);
+ ctx.drawImage(paddedCanvas, 0, 0);
+
+ // extract and set padding data
+ if (srcCanvas.height > srcCanvas.width) {
+ // horizontal padding, x offset
+ const xOffset = (canvasSize - srcCanvas.width) / 2;
+ ctx?.clearRect(xOffset, 0, srcCanvas.width, srcCanvas.height);
+ ctx.drawImage(srcCanvas, xOffset, 0, srcCanvas.width, srcCanvas.height);
+ } else {
+ // vertical padding, y offset
+ const yOffset = (canvasSize - srcCanvas.height) / 2;
+ ctx?.clearRect(0, yOffset, srcCanvas.width, srcCanvas.height);
+ ctx.drawImage(srcCanvas, 0, yOffset, srcCanvas.width, srcCanvas.height);
+ }
+ return canvas;
+ };
+
+ // Fills in the blank areas of the image with an image reflection (to fill in a square-shaped canvas)
+ static drawHorizontalReflection = (ctx: CanvasRenderingContext2D, canvas: HTMLCanvasElement, xOffset: number) => {
+ const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
+ const { data } = imageData;
+ for (let i = 0; i < canvas.height; i++) {
+ for (let j = 0; j < xOffset; j++) {
+ const targetIdx = 4 * (i * canvas.width + j);
+ const sourceI = i;
+ const sourceJ = xOffset + (xOffset - j);
+ const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
+ data[targetIdx] = data[sourceIdx];
+ data[targetIdx + 1] = data[sourceIdx + 1];
+ data[targetIdx + 2] = data[sourceIdx + 2];
+ }
+ }
+ for (let i = 0; i < canvas.height; i++) {
+ for (let j = canvas.width - 1; j >= canvas.width - 1 - xOffset; j--) {
+ const targetIdx = 4 * (i * canvas.width + j);
+ const sourceI = i;
+ const sourceJ = canvas.width - 1 - xOffset - (xOffset - (canvas.width - j));
+ const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
+ data[targetIdx] = data[sourceIdx];
+ data[targetIdx + 1] = data[sourceIdx + 1];
+ data[targetIdx + 2] = data[sourceIdx + 2];
+ }
+ }
+ ctx.putImageData(imageData, 0, 0);
+ };
+
+ // Fills in the blank areas of the image with an image reflection (to fill in a square-shaped canvas)
+ static drawVerticalReflection = (ctx: CanvasRenderingContext2D, canvas: HTMLCanvasElement, yOffset: number) => {
+ const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
+ const { data } = imageData;
+ for (let j = 0; j < canvas.width; j++) {
+ for (let i = 0; i < yOffset; i++) {
+ const targetIdx = 4 * (i * canvas.width + j);
+ const sourceJ = j;
+ const sourceI = yOffset + (yOffset - i);
+ const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
+ data[targetIdx] = data[sourceIdx];
+ data[targetIdx + 1] = data[sourceIdx + 1];
+ data[targetIdx + 2] = data[sourceIdx + 2];
+ }
+ }
+ for (let j = 0; j < canvas.width; j++) {
+ for (let i = canvas.height - 1; i >= canvas.height - 1 - yOffset; i--) {
+ const targetIdx = 4 * (i * canvas.width + j);
+ const sourceJ = j;
+ const sourceI = canvas.height - 1 - yOffset - (yOffset - (canvas.height - i));
+ const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
+ data[targetIdx] = data[sourceIdx];
+ data[targetIdx + 1] = data[sourceIdx + 1];
+ data[targetIdx + 2] = data[sourceIdx + 2];
+ }
+ }
+ ctx.putImageData(imageData, 0, 0);
+ };
+
+ // Gets the unaltered (besides filling in padding) version of the image for the api call
+ static getCanvasImg = (img: HTMLImageElement): HTMLCanvasElement | undefined => {
+ const canvas = document.createElement('canvas');
+ canvas.width = canvasSize;
+ canvas.height = canvasSize;
+ const ctx = canvas.getContext('2d');
+ if (!ctx) return undefined;
+ // fix scaling
+ const scale = Math.min(canvasSize / img.width, canvasSize / img.height);
+ const width = Math.floor(img.width * scale);
+ const height = Math.floor(img.height * scale);
+ ctx?.clearRect(0, 0, canvasSize, canvasSize);
+ ctx.fillStyle = bgColor;
+ ctx.fillRect(0, 0, canvasSize, canvasSize);
+
+ // extract and set padding data
+ if (img.naturalHeight > img.naturalWidth) {
+ // horizontal padding, x offset
+ const xOffset = Math.floor((canvasSize - width) / 2);
+ ctx.drawImage(img, xOffset, 0, width, height);
+
+ // draw reflected image padding
+ this.drawHorizontalReflection(ctx, canvas, xOffset);
+ } else {
+ // vertical padding, y offset
+ const yOffset = Math.floor((canvasSize - height) / 2);
+ ctx.drawImage(img, 0, yOffset, width, height);
+
+ // draw reflected image padding
+ this.drawVerticalReflection(ctx, canvas, yOffset);
+ }
+ return canvas;
+ };
+
+ /**
+ * Converts a url to base64 (tainted canvas workaround)
+ */
+ static urlToBase64 = async (imageUrl: string): Promise<string | undefined> => {
+ try {
+ const res = await fetch(imageUrl);
+ const blob = await res.blob();
+
+ return new Promise<string>((resolve, reject) => {
+ const reader = new FileReader();
+ reader.onload = () => {
+ const base64Data = reader.result?.toString().split(',')[1];
+ if (base64Data) {
+ resolve(base64Data);
+ } else {
+ reject(new Error('Failed to convert.'));
+ }
+ };
+ reader.onerror = () => {
+ reject(new Error('Error reading image data'));
+ };
+ reader.readAsDataURL(blob);
+ });
+ } catch (err) {
+ console.error(err);
+ }
+ return undefined;
+ };
+}