{"version":3,"file":"image-resize.d.ts","sourceRoot":"","sources":["../../src/utils/image-resize.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,YAAY,EAAE,MAAM,uBAAuB,CAAC;AAI1D,MAAM,WAAW,kBAAkB;IAClC,QAAQ,CAAC,EAAE,MAAM,CAAC;IAClB,SAAS,CAAC,EAAE,MAAM,CAAC;IACnB,QAAQ,CAAC,EAAE,MAAM,CAAC;IAClB,WAAW,CAAC,EAAE,MAAM,CAAC;CACrB;AAED,MAAM,WAAW,YAAY;IAC5B,IAAI,EAAE,MAAM,CAAC;IACb,QAAQ,EAAE,MAAM,CAAC;IACjB,aAAa,EAAE,MAAM,CAAC;IACtB,cAAc,EAAE,MAAM,CAAC;IACvB,KAAK,EAAE,MAAM,CAAC;IACd,MAAM,EAAE,MAAM,CAAC;IACf,UAAU,EAAE,OAAO,CAAC;CACpB;AA2BD;;;;;;;;;;;;GAYG;AACH,wBAAsB,WAAW,CAAC,GAAG,EAAE,YAAY,EAAE,OAAO,CAAC,EAAE,kBAAkB,GAAG,OAAO,CAAC,YAAY,GAAG,IAAI,CAAC,CAuG/G;AAED;;;GAGG;AACH,wBAAgB,mBAAmB,CAAC,MAAM,EAAE,YAAY,GAAG,MAAM,GAAG,SAAS,CAO5E","sourcesContent":["import type { ImageContent } from \"@earendil-works/pi-ai\";\nimport { applyExifOrientation } from \"./exif-orientation.js\";\nimport { loadPhoton } from \"./photon.js\";\n\nexport interface ImageResizeOptions {\n\tmaxWidth?: number; // Default: 2000\n\tmaxHeight?: number; // Default: 2000\n\tmaxBytes?: number; // Default: 4.5MB of base64 payload (below Anthropic's 5MB limit)\n\tjpegQuality?: number; // Default: 80\n}\n\nexport interface ResizedImage {\n\tdata: string; // base64\n\tmimeType: string;\n\toriginalWidth: number;\n\toriginalHeight: number;\n\twidth: number;\n\theight: number;\n\twasResized: boolean;\n}\n\n// 4.5MB of base64 payload. Provides headroom below Anthropic's 5MB limit.\nconst DEFAULT_MAX_BYTES = 4.5 * 1024 * 1024;\n\nconst DEFAULT_OPTIONS: Required<ImageResizeOptions> = {\n\tmaxWidth: 2000,\n\tmaxHeight: 2000,\n\tmaxBytes: DEFAULT_MAX_BYTES,\n\tjpegQuality: 80,\n};\n\ninterface EncodedCandidate {\n\tdata: string;\n\tencodedSize: number;\n\tmimeType: string;\n}\n\nfunction encodeCandidate(buffer: Uint8Array, mimeType: string): EncodedCandidate {\n\tconst data = Buffer.from(buffer).toString(\"base64\");\n\treturn {\n\t\tdata,\n\t\tencodedSize: Buffer.byteLength(data, \"utf-8\"),\n\t\tmimeType,\n\t};\n}\n\n/**\n * Resize an image to fit within the specified max dimensions and encoded file size.\n * Returns null if the image cannot be resized below maxBytes.\n *\n * Uses Photon (Rust/WASM) for image processing. If Photon is not available,\n * returns null.\n *\n * Strategy for staying under maxBytes:\n * 1. First resize to maxWidth/maxHeight\n * 2. Try both PNG and JPEG formats, pick the smaller one\n * 3. If still too large, try JPEG with decreasing quality\n * 4. If still too large, progressively reduce dimensions until 1x1\n */\nexport async function resizeImage(img: ImageContent, options?: ImageResizeOptions): Promise<ResizedImage | null> {\n\tconst opts = { ...DEFAULT_OPTIONS, ...options };\n\tconst inputBuffer = Buffer.from(img.data, \"base64\");\n\tconst inputBase64Size = Buffer.byteLength(img.data, \"utf-8\");\n\n\tconst photon = await loadPhoton();\n\tif (!photon) {\n\t\treturn null;\n\t}\n\n\tlet image: ReturnType<typeof photon.PhotonImage.new_from_byteslice> | undefined;\n\ttry {\n\t\tconst inputBytes = new Uint8Array(inputBuffer);\n\t\tconst rawImage = photon.PhotonImage.new_from_byteslice(inputBytes);\n\t\timage = applyExifOrientation(photon, rawImage, inputBytes);\n\t\tif (image !== rawImage) rawImage.free();\n\n\t\tconst originalWidth = image.get_width();\n\t\tconst originalHeight = image.get_height();\n\t\tconst format = img.mimeType?.split(\"/\")[1] ?? \"png\";\n\n\t\t// Check if already within all limits (dimensions AND encoded size)\n\t\tif (originalWidth <= opts.maxWidth && originalHeight <= opts.maxHeight && inputBase64Size < opts.maxBytes) {\n\t\t\treturn {\n\t\t\t\tdata: img.data,\n\t\t\t\tmimeType: img.mimeType ?? `image/${format}`,\n\t\t\t\toriginalWidth,\n\t\t\t\toriginalHeight,\n\t\t\t\twidth: originalWidth,\n\t\t\t\theight: originalHeight,\n\t\t\t\twasResized: false,\n\t\t\t};\n\t\t}\n\n\t\t// Calculate initial dimensions respecting max limits\n\t\tlet targetWidth = originalWidth;\n\t\tlet targetHeight = originalHeight;\n\n\t\tif (targetWidth > opts.maxWidth) {\n\t\t\ttargetHeight = Math.round((targetHeight * opts.maxWidth) / targetWidth);\n\t\t\ttargetWidth = opts.maxWidth;\n\t\t}\n\t\tif (targetHeight > opts.maxHeight) {\n\t\t\ttargetWidth = Math.round((targetWidth * opts.maxHeight) / targetHeight);\n\t\t\ttargetHeight = opts.maxHeight;\n\t\t}\n\n\t\tfunction tryEncodings(width: number, height: number, jpegQualities: number[]): EncodedCandidate[] {\n\t\t\tconst resized = photon!.resize(image!, width, height, photon!.SamplingFilter.Lanczos3);\n\n\t\t\ttry {\n\t\t\t\tconst candidates: EncodedCandidate[] = [encodeCandidate(resized.get_bytes(), \"image/png\")];\n\t\t\t\tfor (const quality of jpegQualities) {\n\t\t\t\t\tcandidates.push(encodeCandidate(resized.get_bytes_jpeg(quality), \"image/jpeg\"));\n\t\t\t\t}\n\t\t\t\treturn candidates;\n\t\t\t} finally {\n\t\t\t\tresized.free();\n\t\t\t}\n\t\t}\n\n\t\tconst qualitySteps = Array.from(new Set([opts.jpegQuality, 85, 70, 55, 40]));\n\t\tlet currentWidth = targetWidth;\n\t\tlet currentHeight = targetHeight;\n\n\t\twhile (true) {\n\t\t\tconst candidates = tryEncodings(currentWidth, currentHeight, qualitySteps);\n\t\t\tfor (const candidate of candidates) {\n\t\t\t\tif (candidate.encodedSize < opts.maxBytes) {\n\t\t\t\t\treturn {\n\t\t\t\t\t\tdata: candidate.data,\n\t\t\t\t\t\tmimeType: candidate.mimeType,\n\t\t\t\t\t\toriginalWidth,\n\t\t\t\t\t\toriginalHeight,\n\t\t\t\t\t\twidth: currentWidth,\n\t\t\t\t\t\theight: currentHeight,\n\t\t\t\t\t\twasResized: true,\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (currentWidth === 1 && currentHeight === 1) {\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\tconst nextWidth = currentWidth === 1 ? 1 : Math.max(1, Math.floor(currentWidth * 0.75));\n\t\t\tconst nextHeight = currentHeight === 1 ? 1 : Math.max(1, Math.floor(currentHeight * 0.75));\n\t\t\tif (nextWidth === currentWidth && nextHeight === currentHeight) {\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\tcurrentWidth = nextWidth;\n\t\t\tcurrentHeight = nextHeight;\n\t\t}\n\n\t\treturn null;\n\t} catch {\n\t\treturn null;\n\t} finally {\n\t\tif (image) {\n\t\t\timage.free();\n\t\t}\n\t}\n}\n\n/**\n * Format a dimension note for resized images.\n * This helps the model understand the coordinate mapping.\n */\nexport function formatDimensionNote(result: ResizedImage): string | undefined {\n\tif (!result.wasResized) {\n\t\treturn undefined;\n\t}\n\n\tconst scale = result.originalWidth / result.width;\n\treturn `[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.]`;\n}\n"]}