137 lines
3.8 KiB
TypeScript
137 lines
3.8 KiB
TypeScript
import type { ImageContent } from "@mariozechner/pi-ai";
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export interface ImageResizeOptions {
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maxWidth?: number; // Default: 2000
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maxHeight?: number; // Default: 2000
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jpegQuality?: number; // Default: 80
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}
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export interface ResizedImage {
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data: string; // base64
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mimeType: string;
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originalWidth: number;
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originalHeight: number;
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width: number;
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height: number;
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wasResized: boolean;
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}
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const DEFAULT_OPTIONS: Required<ImageResizeOptions> = {
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maxWidth: 2000,
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maxHeight: 2000,
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jpegQuality: 80,
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};
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/**
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* Resize an image to fit within the specified max dimensions.
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* Returns the original image if it already fits within the limits.
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*
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* Uses sharp for image processing. If sharp is not available (e.g., in some
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* environments), returns the original image unchanged.
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*/
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export async function resizeImage(img: ImageContent, options?: ImageResizeOptions): Promise<ResizedImage> {
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const opts = { ...DEFAULT_OPTIONS, ...options };
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const buffer = Buffer.from(img.data, "base64");
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let sharp: typeof import("sharp") | undefined;
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try {
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sharp = (await import("sharp")).default;
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} catch {
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// Sharp not available - return original image
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// We can't get dimensions without sharp, so return 0s
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return {
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data: img.data,
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mimeType: img.mimeType,
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originalWidth: 0,
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originalHeight: 0,
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width: 0,
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height: 0,
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wasResized: false,
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};
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}
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const sharpImg = sharp(buffer);
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const metadata = await sharpImg.metadata();
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const width = metadata.width ?? 0;
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const height = metadata.height ?? 0;
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const format = metadata.format ?? img.mimeType?.split("/")[1] ?? "png";
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// Check if already within limits
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if (width <= opts.maxWidth && height <= opts.maxHeight) {
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return {
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data: img.data,
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mimeType: img.mimeType ?? `image/${format}`,
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originalWidth: width,
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originalHeight: height,
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width,
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height,
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wasResized: false,
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};
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}
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// Calculate new dimensions maintaining aspect ratio
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let newWidth = width;
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let newHeight = height;
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if (newWidth > opts.maxWidth) {
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newHeight = Math.round((newHeight * opts.maxWidth) / newWidth);
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newWidth = opts.maxWidth;
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}
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if (newHeight > opts.maxHeight) {
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newWidth = Math.round((newWidth * opts.maxHeight) / newHeight);
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newHeight = opts.maxHeight;
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}
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// Resize the image
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const resized = await sharp(buffer)
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.resize(newWidth, newHeight, { fit: "inside", withoutEnlargement: true })
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.toBuffer();
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// Determine output format - preserve original if possible, otherwise use JPEG
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let outputMimeType: string;
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let outputBuffer: Buffer;
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if (format === "jpeg" || format === "jpg") {
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outputBuffer = await sharp(resized).jpeg({ quality: opts.jpegQuality }).toBuffer();
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outputMimeType = "image/jpeg";
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} else if (format === "png") {
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outputBuffer = resized;
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outputMimeType = "image/png";
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} else if (format === "gif") {
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// GIF resize might not preserve animation; convert to PNG for quality
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outputBuffer = resized;
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outputMimeType = "image/png";
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} else if (format === "webp") {
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outputBuffer = resized;
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outputMimeType = "image/webp";
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} else {
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// Default to JPEG for unknown formats
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outputBuffer = await sharp(resized).jpeg({ quality: opts.jpegQuality }).toBuffer();
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outputMimeType = "image/jpeg";
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}
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return {
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data: outputBuffer.toString("base64"),
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mimeType: outputMimeType,
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originalWidth: width,
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originalHeight: height,
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width: newWidth,
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height: newHeight,
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wasResized: true,
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};
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}
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/**
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* Format a dimension note for resized images.
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* This helps the model understand the coordinate mapping.
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*/
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export function formatDimensionNote(result: ResizedImage): string | undefined {
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if (!result.wasResized) {
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return undefined;
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}
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const scale = result.originalWidth / result.width;
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return `[Image: original ${result.originalWidth}x${result.originalHeight}, displayed at ${result.width}x${result.height}. Multiply coordinates by ${scale.toFixed(2)} to map to original image.]`;
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}
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