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Dzięki temu nie trzeba wstrzykiwać base64 —\n// val sam ściąga naszego kota z publicznego URL-a (np. z vala chatgpt).\n//\n// PO CO: maski gpt-image-2 muszą dostać obraz jako URL. Nasz wolny kontur powstaje\n// z dekompozycji w kodzie — ten val robi tę dekompozycję NA SERWERZE i daje URL.\n//\n// SETUP:\n// 1) Wklej ten plik jako nowy HTTP val w Val Town (brak sekretów — nic nie płacisz).\n// 2) Skopiuj URL vala i dodaj jako Custom Connector w claude.ai/settings/connectors.\n//\n// NARZĘDZIA (MCP):\n// extract_outline(image, ink_thr?, min_area_frac?) -> {id,url} (sam KONTUR: największy spójny komponent)\n// decompose(image, ink_thr?, min_area_frac?) -> {outline:{id,url}, elements:[{id,url,bbox,area}]}\n// upload_image(b64) -> {id,url} (jak ktoś poda base64)\n// get_image(id) -> {id,b64,mime}\n// GET /img/:id -> PNG (publiczny host)\n//\n// 'image' przyjmuje: URL (http/https) | data-url | nasze id | czysty base64.\n// ============================================================================\n\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { Image } from \"https://deno.land/x/imagescript@1.2.17/mod.ts\";\n\nconst PROTO = \"2024-11-05\";\nconst PFX = \"iu_img_\";\n\n// ---------- base64 / IO ----------\nfunction bytesToB64(b: Uint8Array): string {\n let s = \"\";\n const c = 0x8000;\n for (let i = 0; i < b.length; i += c) {\n s += String.fromCharCode(...b.subarray(i, i + c));\n }\n return btoa(s);\n}\nfunction b64ToBytes(b64: string): Uint8Array {\n const bin = atob(b64);\n const out = new Uint8Array(bin.length);\n for (let i = 0; i < bin.length; i++) out[i] = bin.charCodeAt(i);\n return out;\n}\nasync function resolveBytes(image: string): Promise {\n if (!image) throw new Error(\"image required\");\n if (image.startsWith(\"http://\") || image.startsWith(\"https://\")) {\n const r = await fetch(image);\n if (!r.ok) throw new Error(\"fetch image \" + r.status);\n return new Uint8Array(await r.arrayBuffer());\n }\n if (image.startsWith(\"data:\")) {\n return b64ToBytes(image.split(\",\", 2)[1] ?? \"\");\n }\n try {\n const buf = await blob.get(PFX + image);\n if (buf) return new Uint8Array(await buf.arrayBuffer());\n } catch (_) { /* nie nasze id */ }\n return b64ToBytes(image.replace(/\\s+/g, \"\"));\n}\nasync function store(bytes: Uint8Array, origin: string) {\n const id = crypto.randomUUID().replace(/-/g, \"\");\n await blob.set(PFX + id, bytes);\n return { id, url: `${origin}/img/${id}` };\n}\n\n// ---------- dekompozycja: connected components na masce tuszu ----------\ntype Comp = {\n pixels: number[];\n area: number;\n x0: number;\n y0: number;\n x1: number;\n y1: number;\n};\n\nfunction analyze(\n rgba: Uint8Array,\n w: number,\n h: number,\n inkThr: number,\n): Comp[] {\n const n = w * h;\n const ink = new Uint8Array(n);\n for (let i = 0; i < n; i++) {\n const o = i * 4;\n const a = rgba[o + 3];\n const gray = (rgba[o] + rgba[o + 1] + rgba[o + 2]) / 3;\n ink[i] = a > 16 && gray < inkThr ? 1 : 0;\n }\n const lab = new Int32Array(n).fill(-1);\n const comps: Comp[] = [];\n const stack: number[] = [];\n for (let s = 0; s < n; s++) {\n if (!ink[s] || lab[s] !== -1) continue;\n const c: Comp = { pixels: [], area: 0, x0: w, y0: h, x1: 0, y1: 0 };\n lab[s] = comps.length;\n stack.length = 0;\n stack.push(s);\n while (stack.length) {\n const p = stack.pop()!;\n const x = p % w, y = (p / w) | 0;\n c.pixels.push(p);\n c.area++;\n if (x < c.x0) c.x0 = x;\n if (x > c.x1) c.x1 = x;\n if (y < c.y0) c.y0 = y;\n if (y > c.y1) c.y1 = y;\n // 8-spójność\n for (let dy = -1; dy <= 1; dy++) {\n for (let dx = -1; dx <= 1; dx++) {\n if (!dx && !dy) continue;\n const nx = x + dx, ny = y + dy;\n if (nx < 0 || ny < 0 || nx >= w || ny >= h) continue;\n const q = ny * w + nx;\n if (ink[q] && lab[q] === -1) {\n lab[q] = c.area;\n stack.push(q);\n } // lab marker (>=0)\n }\n }\n }\n comps.push(c);\n }\n comps.sort((a, b) => b.area - a.area);\n return comps;\n}\n\nfunction renderComp(comp: Comp, w: number, h: number): Uint8Array {\n const bm = new Uint8ClampedArray(w * h * 4);\n bm.fill(255); // białe RGBA\n for (const p of comp.pixels) {\n const o = p * 4;\n bm[o] = 20;\n bm[o + 1] = 20;\n bm[o + 2] = 20;\n bm[o + 3] = 255;\n }\n return bm as unknown as Uint8Array;\n}\nasync function encodePNG(\n bm: Uint8Array,\n w: number,\n h: number,\n): Promise {\n const img = new Image(w, h);\n img.bitmap.set(bm);\n return await img.encode(); // PNG\n}\n\nasync function doDecompose(\n image: string,\n inkThr: number,\n minFrac: number,\n origin: string,\n outlineOnly: boolean,\n) {\n const bytes = await resolveBytes(image);\n const img = await Image.decode(bytes);\n const w = img.width, h = img.height;\n const rgba = new Uint8Array(img.bitmap.buffer);\n const comps = analyze(rgba, w, h, inkThr);\n if (!comps.length) throw new Error(\"brak tuszu (sprawdz ink_thr)\");\n const minArea = minFrac * w * h;\n\n const outlineComp = comps[0]; // największy = kontur\n const outlinePng = await encodePNG(renderComp(outlineComp, w, h), w, h);\n const outline = await store(outlinePng, origin);\n if (outlineOnly) return outline;\n\n const elements = [];\n for (let i = 1; i < comps.length; i++) {\n const c = comps[i];\n if (c.area < minArea) continue;\n const png = await encodePNG(renderComp(c, w, h), w, h);\n const st = await store(png, origin);\n elements.push({\n ...st,\n area: c.area,\n bbox: [c.x0, c.y0, c.x1 - c.x0 + 1, c.y1 - c.y0 + 1],\n });\n }\n return { outline, elements };\n}\n\n// ---------- narzędzia ----------\nconst TOOLS = [\n {\n name: \"extract_outline\",\n description:\n \"Pobiera obraz i zwraca SAM KONTUR (największy spójny komponent tuszu) jako {id,url}. Pixel-perfect, bez gpt. image=url|id|data-url|base64.\",\n inputSchema: {\n type: \"object\",\n required: [\"image\"],\n properties: {\n image: { type: \"string\" },\n ink_thr: { type: \"number\" },\n min_area_frac: { type: \"number\" },\n },\n },\n },\n {\n name: \"decompose\",\n description:\n \"Pełna dekompozycja: zwraca {outline:{id,url}, elements:[{id,url,bbox,area}]}. Elementy = oczy/nos/itp. (mniejsze komponenty). image=url|id|data-url|base64.\",\n inputSchema: {\n type: \"object\",\n required: [\"image\"],\n properties: {\n image: { type: \"string\" },\n ink_thr: { type: \"number\" },\n min_area_frac: { type: \"number\" },\n },\n },\n },\n {\n name: \"upload_image\",\n description:\n \"Zapisuje obraz z base64 i zwraca {id,url} (gdy obraz masz już jako base64).\",\n inputSchema: {\n type: \"object\",\n required: [\"b64\"],\n properties: { b64: { type: \"string\" } },\n },\n },\n {\n name: \"get_image\",\n description: \"Zwraca base64 obrazu wg id: {id,b64,mime}.\",\n inputSchema: {\n type: \"object\",\n required: [\"id\"],\n properties: { id: { type: \"string\" } },\n },\n },\n];\n\nasync function callTool(name: string, a: any, origin: string) {\n const thr = typeof a.ink_thr === \"number\" ? a.ink_thr : 110;\n const mf = typeof a.min_area_frac === \"number\" ? a.min_area_frac : 0.0008;\n switch (name) {\n case \"extract_outline\":\n return await doDecompose(String(a.image), thr, mf, origin, true);\n case \"decompose\":\n return await doDecompose(String(a.image), thr, mf, origin, false);\n case \"upload_image\": {\n let b = String(a.b64 ?? 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