Merge pull request #6 from arpitchakladar/adding-documentation-comments

Adding documentation comments

1 files changed, 0 insertions, 109 deletions

diff --git a/src/scripts/login/index.ts b/src/scripts/login/index.ts
deleted file mode 100644
index bed05f9..0000000
--- a/src/scripts/login/index.ts
+++ /dev/null
@@ -1,109 +0,0 @@
-import { interceptPost, interceptGet } from "@/shared/intercept-jquery-ajax";
-
-function prepareCaptcha(ctx: CanvasRenderingContext2D, width: number, height: number) {
-	const imgData = ctx.getImageData(0, 0, width, height);
-	const data = imgData.data;
-	const radius = 1;
-
-	function isBlack(r: number, g: number, b: number) {
-		return r < 50 && g < 50 && b < 50;
-	}
-
-	function isGrayish(r: number, g: number, b: number) {
-		return Math.abs(r - g) < 15 && Math.abs(g - b) < 15 && r > 100 && r < 200;
-	}
-
-	function hasNearbyBlack(x: number, y: number) {
-		for (let dx = -radius; dx <= radius; dx++) {
-			for (let dy = -radius; dy <= radius; dy++) {
-				const nx = x + dx;
-				const ny = y + dy;
-				if (nx >= 0 && nx < width && ny >= 0 && ny < height) {
-					const i = (ny * width + nx) * 4;
-					if (isBlack(data[i], data[i + 1], data[i + 2])) return true;
-				}
-			}
-		}
-		return false;
-	}
-
-	for (let y = 0; y < height; y++) {
-		for (let x = 0; x < width; x++) {
-			const i = (y * width + x) * 4;
-			const [r, g, b] = [data[i], data[i + 1], data[i + 2]];
-			if (isGrayish(r, g, b) && !hasNearbyBlack(x, y)) {
-				data[i] = data[i + 1] = data[i + 2] = 255;
-			}
-		}
-	}
-	for (let y = 0; y < height; y++) {
-		for (let x = 0; x < width; x++) {
-			const i = (y * width + x) * 4;
-			const [r, g, b] = [data[i], data[i + 1], data[i + 2]];
-
-			if (isGrayish(r, g, b)) {
-				data[i] = data[i + 1] = data[i + 2] = 0; // make black
-			}
-		}
-	}
-	ctx.putImageData(imgData, 0, 0);
-}
-
-const observer = new MutationObserver((mutationsList, obs) => {
-	for (const mutation of mutationsList) {
-		for (const node of mutation.addedNodes) {
-			if ((node as any).nodeType === 1 && (node as any).id === "loginform") {
-				const img = (node as HTMLFormElement).querySelector("#captchaImg") as HTMLImageElement;
-				const captchaInput = (node as HTMLFormElement).querySelector("#txtInput") as HTMLInputElement;
-
-				// Wait for image to load to get correct dimensions
-				img.addEventListener("load", async () => {
-					const { width, height } = img;
-
-					// 1. Create canvas
-					const canvas = document.createElement("canvas");
-					canvas.width = width;
-					canvas.height = height;
-					canvas.style.display = "block";
-
-					// 2. Copy styles (optional)
-					canvas.style.cssText = getComputedStyle(img).cssText;
-					canvas.style.display = "none";
-
-					// 3. Insert canvas before image
-					img.parentNode!.querySelectorAll("canvas").forEach(c => c.remove());
-					img.parentNode!.insertBefore(canvas, img);
-
-					// 4. Hide image
-					img.style.display = "none";
-
-					// 5. Draw the image onto the canvas
-					const ctx = canvas.getContext("2d")!;
-					ctx.drawImage(img, 0, 0);
-					prepareCaptcha(ctx, canvas.width, canvas.height);
-					canvas.style.display = "";
-					const dataURL = canvas.toDataURL("image/png");
-
-					// Perform OCR
-					chrome.runtime.sendMessage(
-						{ type: "OCR", dataURL },
-						({ success, text, confidence }) => {
-							if (success) {
-								const textResult = text.trim();
-								if (confidence < 80 || textResult.length !== 6) {
-									// Reset the captcha if confidence is low
-									img.src = "generateCaptcha?" + new Date().getTime();
-								} else {
-									captchaInput.value = textResult;
-								}
-							}
-						},
-					);
-				});
-			}
-		}
-	}
-});
-
-// Start observing the body
-observer.observe(document.body, { childList: true, subtree: true });