feat: convert js modules to ts and optimize performance

src/components/TuiSegment.astro

@@ -14,7 +14,7 @@ const { id, label, options, value = options[0], title = "" } = Astro.props;
     <span class="tui-segment-label">{label}</span>
     <div class="tui-segment-options" id={id} data-value={value}>
         {
-            options.map((opt, i) => (
+            options.map((opt) => (
                 <button
                     type="button"
                     class:list={[

src/pages/api-proxy/[...path].ts

@@ -1,17 +1,15 @@
 import type { APIRoute } from 'astro';
 
-export const GET: APIRoute = async ({ params, request }) => {
+export const GET: APIRoute = async ({ request }) => {
-    const path = params.path;
+    const url = new URL(request.url);
-    if (!path) {
+    const targetUrl = url.searchParams.get('url');
-        return new Response('Missing path', { status: 400 });
+    
+    if (!targetUrl) {
+        return new Response('Missing url parameter', { status: 400 });
     }
 
-    const targetUrl = path.startsWith('http') ? path : `https://${path}`;
-    const url = new URL(request.url);
-    const search = url.search; // keep query params
-
     try {
-        const response = await fetch(`${targetUrl}${search}`, {
+        const response = await fetch(targetUrl, {
             headers: {
                 'User-Agent': 'Mozilla/5.0',
                 // Optional: forward other safe headers if needed

src/pages/index.astro

@@ -206,7 +206,7 @@ import TuiButton from "../components/TuiButton.astro";
         } from "../scripts/ascii.js";
         import {
             fetchRandomAnimeImage,
-            fetchMultipleAnimeImages,
+            loadSingleImage,
         } from "../scripts/anime-api.js";
         import { WebGLAsciiRenderer } from "../scripts/webgl-ascii.js";
 
@@ -215,19 +215,22 @@ import TuiButton from "../components/TuiButton.astro";
             "ascii-canvas",
         ) as HTMLCanvasElement;
         let webglRenderer: WebGLAsciiRenderer | null = null;
+        let isWebGLAvailable = false;
 
         try {
             webglRenderer = new WebGLAsciiRenderer(canvas);
+            isWebGLAvailable = true;
         } catch (e) {
             console.warn(
                 "WebGL renderer failed to initialize, falling back to CPU",
                 e,
             );
+            isWebGLAvailable = false;
         }
 
         // State
         let currentImgUrl: string | null = null;
-        let currentSettings = {
+        let currentSettings: Record<string, any> = {
             exposure: 1.0,
             contrast: 1.0,
             saturation: 1.2,
@@ -246,6 +249,25 @@ import TuiButton from "../components/TuiButton.astro";
         let detectedInvert = false;
         let detectedSettings: any = {}; // Store auto-detected settings
 
+        // Render Loop State
+        let dirtyTexture = false;
+        let dirtyGrid = false;
+        let dirtyUniforms = false;
+
+        // Cache for grid calculations
+        let cachedGrid: {
+            widthCols: number;
+            heightRows: number;
+            imgEl: HTMLImageElement | null;
+        } = {
+            widthCols: 0,
+            heightRows: 0,
+            imgEl: null,
+        };
+
+        // Debounce for CPU render
+        let cpuRenderTimeout: number | undefined;
+
         // DOM Elements
         const asciiResult = document.getElementById(
             "ascii-result",
@@ -284,7 +306,7 @@ import TuiButton from "../components/TuiButton.astro";
             ];
             sliderIds.forEach((id) => {
                 const input = document.getElementById(id) as HTMLInputElement;
-                const valueDisplay = document.getElementById(`val-${id}`);
+                // removed unused valueDisplay
                 if (input && currentSettings[id] !== undefined) {
                     input.value = String(currentSettings[id]);
                     input.dispatchEvent(new Event("input"));
@@ -348,56 +370,83 @@ import TuiButton from "../components/TuiButton.astro";
                 };
                 currentSettings.invert = detectedInvert;
                 updateUI();
-                generate();
+
+                // Full update
+                calculateGrid().then(() => {
+                    requestRender("all");
+                });
             }
         }
 
-        async function generate() {
+        function requestRender(type: "texture" | "grid" | "uniforms" | "all") {
+            if (!isWebGLAvailable) {
+                // For CPU, we just debounce a full render
+                clearTimeout(cpuRenderTimeout);
+                cpuRenderTimeout = window.setTimeout(() => generateCPU(), 50);
+                return;
+            }
+
+            if (type === "all") {
+                dirtyTexture = true;
+                dirtyGrid = true;
+                dirtyUniforms = true;
+            } else if (type === "texture") dirtyTexture = true;
+            else if (type === "grid") dirtyGrid = true;
+            else if (type === "uniforms") dirtyUniforms = true;
+        }
+
+        async function calculateGrid() {
             if (!currentImgUrl) return;
 
             // Dynamic sizing logic to fit screen
             const fontAspectRatio = 0.55;
             const marginRatio = 0.2;
             const screenW = window.innerWidth;
-            const screenH = window.innerHeight;
 
             // Available space
             const availW = screenW * (1 - marginRatio);
 
-            // We need to determine optimal Width (cols) and Font Size (px)
+            let widthCols = Math.floor(availW / 6); // Assuming ~6px char width
-            let widthCols = screenW > 1000 ? 200 : 100; // Base resolution
-
-            // Calculate resulting height
-            const imgEl = await resolveImage(currentImgUrl);
-            const imgRatio = imgEl.width / imgEl.height;
-            let heightRows = widthCols / (imgRatio / fontAspectRatio);
-
-            // Refined sizing logic (legacy-inspired)
-            widthCols = Math.floor(availW / 6); // Assuming ~6px char width
-
             // Apply resolution scaling
             widthCols = Math.floor(widthCols * currentSettings.resolution);
 
             if (widthCols > 300) widthCols = 300; // Cap to prevent crashing
             if (widthCols < 40) widthCols = 40;
 
-            heightRows = widthCols / (imgRatio / fontAspectRatio);
+            const imgEl = await resolveImage(currentImgUrl);
+            const imgRatio = imgEl.width / imgEl.height;
+            const heightRows = widthCols / (imgRatio / fontAspectRatio);
 
-            // Decide whether to use WebGL or CPU
+            cachedGrid = {
-            // We use WebGL primarily for color mode since it's the biggest performance hit
+                widthCols,
-            // But we can also use it for everything if currentSettings.color is true
+                heightRows,
-            const useWebGL = webglRenderer !== null;
+                imgEl,
+            };
 
-            if (useWebGL) {
+            return cachedGrid;
-                asciiResult.style.display = "none";
+        }
-                canvas.style.display = "block";
 
-                // Calculate intended aspect ratio of the ASCII grid
+        function renderLoop() {
-                const gridAspect = (widthCols * fontAspectRatio) / heightRows;
+            if (isWebGLAvailable && webglRenderer && cachedGrid.imgEl) {
+                const charSetContent =
+                    CHAR_SETS[
+                        currentSettings.charSet as keyof typeof CHAR_SETS
+                    ] || CHAR_SETS.standard;
+
+                // Only act if dirty
+                if (dirtyTexture || dirtyGrid || dirtyUniforms) {
+                    if (dirtyTexture) {
+                        webglRenderer.updateTexture(cachedGrid.imgEl);
+                    }
+
+                    if (dirtyGrid) {
+                        // Recalculate canvas size for WebGL
+                        const fontAspectRatio = 0.55;
+                        const gridAspect =
+                            (cachedGrid.widthCols * fontAspectRatio) /
+                            cachedGrid.heightRows;
                         const screenW = window.innerWidth;
                         const screenH = window.innerHeight;
-
-                // Available space with margins (matching CPU version's 0.9 scale)
                         const maxW = screenW * 0.95;
                         const maxH = screenH * 0.95;
 
@@ -410,39 +459,61 @@ import TuiButton from "../components/TuiButton.astro";
                             finalW = maxH * gridAspect;
                         }
 
-                // Set canvas CSS size to fit centered and internal resolution for sharpness
                         canvas.style.width = `${finalW}px`;
                         canvas.style.height = `${finalH}px`;
-
                         const dpr = window.devicePixelRatio || 1;
                         canvas.width = finalW * dpr;
                         canvas.height = finalH * dpr;
 
-                const charSetContent =
+                        webglRenderer.updateGrid(
-                    CHAR_SETS[currentSettings.charSet] || CHAR_SETS.standard;
+                            cachedGrid.widthCols,
+                            Math.floor(cachedGrid.heightRows),
+                        );
+                    }
 
-                webglRenderer!.render(imgEl, {
+                    if (dirtyUniforms || dirtyGrid) {
-                    width: widthCols,
+                        // Uniforms often depend on grid/atlas state
-                    height: Math.floor(heightRows),
+                        webglRenderer.updateUniforms({
+                            width: cachedGrid.widthCols,
+                            height: Math.floor(cachedGrid.heightRows),
                             charSetContent: charSetContent,
                             ...currentSettings,
+                            dither: currentSettings.dither,
+                            denoise: currentSettings.denoise,
+                            // WebGLAsciiRenderer handles Defaults for zoom/magnifier if undefined
                             zoom: zoom,
                             zoomCenter: zoomCenter,
                             mousePos: mousePos,
                             showMagnifier: showMagnifier,
-                    magnifierRadius: 0.03,
+                            magnifierRadius: 0.15,
                             magnifierZoom: 2.5,
-                });
+                        } as any);
+                    }
+
+                    webglRenderer.draw();
+
+                    dirtyTexture = false;
+                    dirtyGrid = false;
+                    dirtyUniforms = false;
+                }
+            }
+            requestAnimationFrame(renderLoop);
+        }
+
+        // Start the loop
+        requestAnimationFrame(renderLoop);
+
+        async function generateCPU() {
+            if (!cachedGrid.imgEl) await calculateGrid();
+            if (!cachedGrid.imgEl) return;
 
-                canvas.style.opacity = "1";
-            } else {
             canvas.style.display = "none";
             asciiResult.style.display = "block";
 
             try {
-                    const result = await generator.generate(imgEl, {
+                const result = await generator.generate(cachedGrid.imgEl, {
-                        width: widthCols,
+                    width: cachedGrid.widthCols,
-                        height: Math.floor(heightRows),
+                    height: Math.floor(cachedGrid.heightRows),
                     ...currentSettings,
                 });
 
@@ -454,9 +525,12 @@ import TuiButton from "../components/TuiButton.astro";
                 }
 
                 // Auto-fit font size
+                const fontAspectRatio = 0.55;
+                const screenW = window.innerWidth;
+                const screenH = window.innerHeight;
                 const sizeW =
-                        (screenW * 0.9) / (widthCols * fontAspectRatio);
+                    (screenW * 0.9) / (cachedGrid.widthCols * fontAspectRatio);
-                    const sizeH = (screenH * 0.9) / heightRows;
+                const sizeH = (screenH * 0.9) / cachedGrid.heightRows;
                 const bestSize = Math.min(sizeW, sizeH);
 
                 asciiResult.style.fontSize = `${Math.max(4, bestSize).toFixed(2)}px`;
@@ -465,6 +539,18 @@ import TuiButton from "../components/TuiButton.astro";
                 console.error("Render error", e);
             }
         }
+
+        async function generate() {
+            // Legacy wrapper to kick off a render (used by resize listener/init)
+            await calculateGrid();
+            if (isWebGLAvailable) {
+                asciiResult.style.display = "none";
+                canvas.style.display = "block";
+                canvas.style.opacity = "1";
+                requestRender("all");
+            } else {
+                generateCPU();
+            }
         }
 
         // Zoom & Magnifier State
@@ -517,12 +603,14 @@ import TuiButton from "../components/TuiButton.astro";
                             zoomCenter.y = (imgY - my / zoom) / (1 - 1 / zoom);
                         }
 
-                        generate();
+                        requestRender("uniforms");
                     }
                 },
                 { passive: false },
             );
 
+            let magnifierTimeout: ReturnType<typeof setTimeout> | undefined;
+
             heroWrapper.addEventListener("mousemove", (e: any) => {
                 if (webglRenderer) {
                     const rect = canvas.getBoundingClientRect();
@@ -536,7 +624,7 @@ import TuiButton from "../components/TuiButton.astro";
                     showMagnifier = mx >= 0 && mx <= 1 && my >= 0 && my <= 1;
 
                     if (showMagnifier || wasShowing) {
-                        generate(); // Re-render to update magnifier position
+                        requestRender("uniforms");
                     }
                 }
             });
@@ -544,55 +632,47 @@ import TuiButton from "../components/TuiButton.astro";
             heroWrapper.addEventListener("mouseleave", () => {
                 if (showMagnifier) {
                     showMagnifier = false;
-                    generate();
+                    requestRender("uniforms");
                 }
             });
         }
 
         // Queue System
         const imageQueue: { data: any; imgElement: HTMLImageElement }[] = [];
-        const TARGET_QUEUE_SIZE = 5;
+        let isFetchingNext = false;
-        let isFetchingQueue = false;
+        const MAX_QUEUE_SIZE = 2;
 
-        async function fillQueue() {
+        async function prefetchNext() {
-            if (isFetchingQueue || imageQueue.length >= TARGET_QUEUE_SIZE)
+            if (isFetchingNext || imageQueue.length >= MAX_QUEUE_SIZE) return;
-                return;
-            // Prevent filling if document is hidden to save bandwidth
             if (document.hidden) return;
 
-            isFetchingQueue = true;
+            isFetchingNext = true;
 
             try {
-                const needed = TARGET_QUEUE_SIZE - imageQueue.length;
+                const data = await fetchRandomAnimeImage();
-                if (needed <= 0) return;
 
-                // Fetch multiple metadata entries at once (API allows this)
+                loadingIndicator.style.display = "block";
-                const results = await fetchMultipleAnimeImages({
+                asciiResult.textContent = `FETCHING... (${imageQueue.length + 1}/${MAX_QUEUE_SIZE})`;
-                    amount: needed,
+                asciiResult.style.opacity = "0.5";
-                });
 
-                // Load images SEQUENTIALLY with a small delay to avoid 429s from the CDN
+                const img = await loadSingleImage(data.url);
-                for (const data of results) {
+
-                    if (imageQueue.length >= TARGET_QUEUE_SIZE) break;
+                imageQueue.push({ data, imgElement: img });
-                    try {
-                        const img = await resolveImage(data.url);
-                        imageQueue.push({
-                            data: data,
-                            imgElement: img,
-                        });
                 updateQueueStatus();
-                        // Small staggered delay
+
-                        await new Promise((r) => setTimeout(r, 300));
+                loadingIndicator.style.display = "none";
             } catch (e) {
-                        console.error("Failed to preload image", data.url, e);
+                console.error("Failed to prefetch image:", e);
-                        // If we hit an error (likely rate limit or CORS), wait longer
+                loadingIndicator.style.display = "none";
-                        await new Promise((r) => setTimeout(r, 2000));
-                    }
-                }
-            } catch (e) {
-                console.error("Queue fill error", e);
             } finally {
-                isFetchingQueue = false;
+                isFetchingNext = false;
+            }
+        }
+
+        async function ensureQueueFilled() {
+            while (imageQueue.length < MAX_QUEUE_SIZE) {
+                await prefetchNext();
+                await new Promise((resolve) => setTimeout(resolve, 500));
             }
         }
 
@@ -606,12 +686,16 @@ import TuiButton from "../components/TuiButton.astro";
                 // If queue is empty, show loading and wait for fetch
                 if (imageQueue.length === 0) {
                     loadingIndicator.style.display = "block";
-                    asciiResult.style.opacity = "0.3";
+                    asciiResult.textContent = "FETCHING...";
+                    asciiResult.style.opacity = "0.5";
+
                     const data = await fetchRandomAnimeImage();
-                    const img = await resolveImage(data.url);
+                    const img = await loadSingleImage(data.url);
                     currentImgUrl = data.url;
 
                     suggestions = autoTuneImage(img, data.meta);
+
+                    loadingIndicator.style.display = "none";
                 } else {
                     // Pop from queue
                     const nextItem = imageQueue.shift()!;
@@ -623,7 +707,7 @@ import TuiButton from "../components/TuiButton.astro";
                     );
 
                     // Trigger refill in background
-                    fillQueue();
+                    ensureQueueFilled();
                 }
 
                 // Reset zoom on new image
@@ -689,7 +773,11 @@ import TuiButton from "../components/TuiButton.astro";
             if (input) {
                 input.addEventListener("input", () => {
                     currentSettings[id] = parseFloat(input.value);
-                    generate();
+                    if (id === "resolution") {
+                        calculateGrid().then(() => requestRender("grid"));
+                    } else {
+                        requestRender("uniforms");
+                    }
                 });
             }
         });
@@ -705,19 +793,19 @@ import TuiButton from "../components/TuiButton.astro";
             switch (toggleId) {
                 case "toggle-color":
                     currentSettings.color = checked;
-                    generate();
+                    requestRender("uniforms");
                     break;
                 case "toggle-dither":
                     currentSettings.dither = checked;
-                    generate();
+                    requestRender("uniforms");
                     break;
                 case "toggle-denoise":
                     currentSettings.denoise = checked;
-                    generate();
+                    requestRender("uniforms");
                     break;
                 case "toggle-edges":
                     currentSettings.enhanceEdges = checked;
-                    generate();
+                    requestRender("uniforms");
                     break;
             }
         });
@@ -737,7 +825,7 @@ import TuiButton from "../components/TuiButton.astro";
                     invertMode = "off";
                     currentSettings.invert = false;
                 }
-                generate();
+                requestRender("uniforms");
             });
 
         document
@@ -745,7 +833,7 @@ import TuiButton from "../components/TuiButton.astro";
             ?.addEventListener("segment-change", (e: any) => {
                 const shortKey = e.detail.value;
                 currentSettings.charSet = charSetKeyMap[shortKey] || "standard";
-                generate();
+                requestRender("uniforms"); // Charset update uses updateUniforms -> updateAtlas
             });
 
         // Action button events
@@ -777,8 +865,7 @@ import TuiButton from "../components/TuiButton.astro";
                     break;
                 case "i": // Cycle invert (AUTO -> ON -> OFF -> AUTO)
                     {
-                        const invertSegment =
+                        // removed unused invertSegment declaration
-                            document.getElementById("segment-invert");
                         if (invertMode === "auto") {
                             invertMode = "on";
                             currentSettings.invert = true;
@@ -790,24 +877,24 @@ import TuiButton from "../components/TuiButton.astro";
                             currentSettings.invert = detectedInvert;
                         }
                         updateUI();
-                        generate();
+                        requestRender("uniforms");
                     }
                     break;
                 case "c": // Toggle color
                     currentSettings.color = !currentSettings.color;
                     updateUI();
-                    generate();
+                    requestRender("uniforms");
                     break;
                 case "d": // Toggle dither
                     currentSettings.dither = !currentSettings.dither;
                     updateUI();
-                    generate();
+                    requestRender("uniforms");
                     break;
                 case "e": // Toggle edges
                     currentSettings.enhanceEdges =
                         !currentSettings.enhanceEdges;
                     updateUI();
-                    generate();
+                    requestRender("uniforms");
                     break;
                 case "s": // Cycle charset
                     {
@@ -816,7 +903,7 @@ import TuiButton from "../components/TuiButton.astro";
                         const nextIdx = (idx + 1) % keys.length;
                         currentSettings.charSet = keys[nextIdx];
                         updateUI();
-                        generate();
+                        requestRender("uniforms");
                     }
                     break;
             }
@@ -834,7 +921,7 @@ import TuiButton from "../components/TuiButton.astro";
 
         // Init
         loadNewImage().then(() => {
-            fillQueue(); // Start filling queue after first load
+            ensureQueueFilled(); // Start filling queue after first load
         });
     </script>
 </Layout>

src/scripts/anime-api.js

@@ -1,132 +0,0 @@
-/**
- * @typedef {Object} AnimeImage
- * @property {string} url - The URL of the image.
- * @property {string} [artist] - The artist name if available.
- * @property {string} [sourceUrl] - The source URL of the artwork.
- * @property {Object} [meta] - Original metadata object from the API.
- */
-
-/**
- * Available categories from nekos.best API.
- * All images are SFW.
- * @type {readonly string[]}
- */
-export const CATEGORIES = [
-    'waifu', 'neko', 'kitsune', 'husbando'
-];
-
-/**
- * Fetches a random anime image from the nekos.best API.
- * All images from this API are guaranteed SFW.
- * 
- * @param {Object} options - Fetch options.
- * @param {string} [options.category='waifu'] - Image category ('waifu', 'neko', 'kitsune', 'husbando').
- * @param {number} [options.amount=1] - Number of images to fetch (1-20).
- * @returns {Promise<AnimeImage>} The fetched image data.
- */
-export async function fetchRandomAnimeImage(options = {}) {
-    const {
-        category = 'waifu',
-        amount = 1
-    } = options;
-
-    // Validate amount (API allows 1-20)
-    const validAmount = Math.max(1, Math.min(20, amount));
-
-    // nekos.best API base URL
-    const apiBase = 'https://nekos.best/api/v2';
-
-    // Construct URL with category and optional amount
-    let url = `${apiBase}/${category}`;
-    if (validAmount > 1) {
-        url += `?amount=${validAmount}`;
-    }
-
-    try {
-        const response = await fetch(url, {
-            headers: {
-                'Accept': 'application/json'
-            }
-        });
-
-        if (!response.ok) {
-            throw new Error(`API Error: ${response.status} ${response.statusText}`);
-        }
-
-        const data = await response.json();
-
-        // Validate response structure
-        // Expected: { results: [{ url, artist_name, artist_href, source_url }] }
-        if (!data.results || !Array.isArray(data.results) || data.results.length === 0) {
-            throw new Error('Invalid API response format: No results found.');
-        }
-
-        const image = data.results[0];
-
-        if (!image.url) {
-            throw new Error('Invalid API response format: No image URL found.');
-        }
-
-        return {
-            url: image.url,
-            artist: image.artist_name || undefined,
-            sourceUrl: image.source_url || undefined,
-            meta: image
-        };
-
-    } catch (error) {
-        console.error('Failed to fetch anime image:', error);
-        throw error;
-    }
-}
-
-/**
- * Fetches multiple random anime images from the nekos.best API.
- * All images from this API are guaranteed SFW.
- * 
- * @param {Object} options - Fetch options.
- * @param {string} [options.category='waifu'] - Image category ('waifu', 'neko', 'kitsune', 'husbando').
- * @param {number} [options.amount=5] - Number of images to fetch (1-20).
- * @returns {Promise<AnimeImage[]>} Array of fetched image data.
- */
-export async function fetchMultipleAnimeImages(options = {}) {
-    const {
-        category = 'waifu',
-        amount = 5
-    } = options;
-
-    // Validate amount (API allows 1-20)
-    const validAmount = Math.max(1, Math.min(20, amount));
-
-    const apiBase = 'https://nekos.best/api/v2';
-    const url = `${apiBase}/${category}?amount=${validAmount}`;
-
-    try {
-        const response = await fetch(url, {
-            headers: {
-                'Accept': 'application/json'
-            }
-        });
-
-        if (!response.ok) {
-            throw new Error(`API Error: ${response.status} ${response.statusText}`);
-        }
-
-        const data = await response.json();
-
-        if (!data.results || !Array.isArray(data.results)) {
-            throw new Error('Invalid API response format: No results found.');
-        }
-
-        return data.results.map(image => ({
-            url: image.url,
-            artist: image.artist_name || undefined,
-            sourceUrl: image.source_url || undefined,
-            meta: image
-        }));
-
-    } catch (error) {
-        console.error('Failed to fetch anime images:', error);
-        throw error;
-    }
-}

src/scripts/anime-api.ts

@@ -0,0 +1,75 @@
+import { fetchAnimeImage, loadImage, clearCache, AnimeImageResult } from './image-loader.js';
+
+export type { AnimeImageResult };
+
+export const CATEGORIES = ['waifu'] as const;
+
+export type Category = typeof CATEGORIES[number];
+
+export interface FetchOptions {
+  category?: Category;
+  retries?: number;
+}
+
+export interface FetchMultipleOptions {
+  category?: Category;
+  amount?: number;
+}
+
+const MAX_RETRIES = 3;
+const BASE_RETRY_DELAY = 2000;
+
+export async function fetchRandomAnimeImage(options: FetchOptions = {}): Promise<AnimeImageResult> {
+  const { category = 'waifu', retries = 0 } = options;
+
+  try {
+    return await fetchAnimeImage({ category });
+  } catch (error) {
+    if (retries < MAX_RETRIES) {
+      const delay = BASE_RETRY_DELAY * Math.pow(2, retries);
+      console.warn(`Failed to fetch image. Retrying in ${delay}ms...`);
+      if (retries === 0) {
+        clearCache();
+      }
+      await new Promise(resolve => setTimeout(resolve, delay));
+      return fetchRandomAnimeImage({ category, retries: retries + 1 });
+    }
+
+    console.error('Failed to fetch anime image after all retries:', error);
+    throw error;
+  }
+}
+
+export async function fetchMultipleAnimeImages(options: FetchMultipleOptions = {}): Promise<AnimeImageResult[]> {
+  const { category = 'waifu', amount = 5 } = options;
+
+  const results: AnimeImageResult[] = [];
+
+  for (let i = 0; i < amount; i++) {
+    try {
+      const image = await fetchRandomAnimeImage({ category });
+      results.push(image);
+
+      if (i < amount - 1) {
+        await new Promise(resolve => setTimeout(resolve, 1500));
+      }
+    } catch (error) {
+      console.error(`Failed to fetch image ${i + 1}/${amount}:`, error);
+      if (results.length === 0) {
+        throw error;
+      }
+      break;
+    }
+  }
+
+  return results;
+}
+
+export async function loadSingleImage(url: string): Promise<HTMLImageElement> {
+  try {
+    return await loadImage(url);
+  } catch (error) {
+    console.error('Failed to load image:', error);
+    throw error;
+  }
+}

src/scripts/ascii.js

@@ -1,615 +0,0 @@
-/**
- * @typedef {Object} AsciiOptions
- * @property {number} [width] - Width of the ASCII output in characters.
- * @property {number} [height] - Height of the ASCII output.
- * @property {number} [contrast=1.0] - Contrast adjustment (0.0 to 5.0).
- * @property {number} [exposure=1.0] - Exposure/Brightness adjustment (0.0 to 5.0).
- * @property {boolean} [invert=false] - Whether to invert the colors.
- * @property {number} [saturation=1.2] - Saturation adjustment (0.0 to 5.0).
- * @property {number} [gamma=1.0] - Gamma correction value.
- * @property {string} [charSet='standard'] - Key of CHAR_SETS or custom string.
- * @property {boolean} [color=false] - If true, returns HTML with color spans.
- * @property {boolean} [dither=false] - If true, applies Floyd-Steinberg dithering for smoother gradients.
- * @property {boolean} [enhanceEdges=false] - If true, applies edge enhancement for line art.
- * @property {boolean} [autoStretch=true] - If true, stretches histogram to use full character range.
- * @property {number} [overlayStrength=0.3] - Strength of the overlay blend effect (0.0 to 1.0).
- * @property {'fit'|'fill'|'stretch'} [aspectMode='fit'] - How to handle aspect ratio.
- * @property {boolean} [denoise=false] - If true, applies a slight blur to reduce noise.
- * @property {number} [fontAspectRatio=0.55] - Custom font aspect ratio for height calculation.
- * @property {function} [onProgress] - Optional callback for progress updates (0-100).
- */
-
-/**
- * @typedef {Object} AsciiResult
- * @property {string} output - The ASCII art string (plain text or HTML).
- * @property {boolean} isHtml - Whether the output contains HTML color spans.
- * @property {number} width - Width in characters.
- * @property {number} height - Height in characters.
- */
-
-export const CHAR_SETS = {
-    standard: '@W%$NQ08GBR&ODHKUgSMw#Xbdp5q9C26APahk3EFVesm{}o4JZcjnuy[f1xi*7zYt(l/I\\v)T?]r><+^"L;|!~:,-_.\' ',
-    simple: '@%#*+=-:. ',
-    blocks: '█▓▒░ ',
-    minimal: '#+-. ',
-    matrix: 'ﾊﾐﾋｰｳｼﾅﾓﾆｻﾜﾂｵﾘｱﾎﾃﾏｹﾒｴｶｷﾑﾕﾗｾﾈｽﾀﾇﾍ1234567890:.=*+-<>',
-    dots: '⣿⣷⣯⣟⡿⢿⣻⣽⣾⣶⣦⣤⣄⣀⡀ ',
-    ascii_extended: '░▒▓█▀▄▌▐│┤╡╢╖╕╣║╗╝╜╛┐└┴┬├─┼╞╟╚╔╩╦╠═╬╧╨╤╥╙╘╒╓╫╪┘┌ '
-};
-
-/** Aspect mode options */
-export const ASPECT_MODES = {
-    fit: 'fit',       // Fits within given width/height (default)
-    fill: 'fill',     // Fills the area, may crop
-    stretch: 'stretch' // Ignores aspect ratio
-};
-
-export class AsciiGenerator {
-    constructor() {
-        this.ctx = null;
-        this.canvas = null;
-        this.sharpCanvas = null;
-        this.sharpCtx = null;
-        this.denoiseCanvas = null;
-        this.denoiseCtx = null;
-        this.colorData = null; // Store color data for color output
-    }
-
-    /**
-     * Dispose of canvas resources.
-     * Call this when you're done using the generator to free memory.
-     */
-    dispose() {
-        this.ctx = null;
-        this.sharpCtx = null;
-        this.denoiseCtx = null;
-        this.colorData = null;
-
-        if (this.canvas) {
-            this.canvas.width = 0;
-            this.canvas.height = 0;
-            this.canvas = null;
-        }
-        if (this.sharpCanvas) {
-            this.sharpCanvas.width = 0;
-            this.sharpCanvas.height = 0;
-            this.sharpCanvas = null;
-        }
-        if (this.denoiseCanvas) {
-            this.denoiseCanvas.width = 0;
-            this.denoiseCanvas.height = 0;
-            this.denoiseCanvas = null;
-        }
-    }
-
-    /**
-     * Converts an image to ASCII art.
-     * @param {string|HTMLImageElement} imageSource 
-     * @param {AsciiOptions} options 
-     * @returns {Promise<string|AsciiResult>} ASCII art string, or AsciiResult if color=true
-     */
-    async generate(imageSource, options = {}) {
-        if (typeof document === 'undefined') {
-            throw new Error('AsciiGenerator requires a browser environment.');
-        }
-
-        const onProgress = options.onProgress || (() => { });
-        onProgress(0);
-
-        const img = await this.resolveImage(imageSource);
-        onProgress(10);
-
-        // Configuration
-        const requestedWidth = options.width || 100;
-        const fontAspectRatio = options.fontAspectRatio || 0.55;
-        const imgRatio = this.getImageRatio(img);
-        const aspectMode = options.aspectMode || 'fit';
-
-        // Calculate dimensions based on aspect mode
-        let width, height;
-        if (aspectMode === 'stretch') {
-            width = requestedWidth;
-            height = options.height || Math.floor(requestedWidth / 2);
-        } else if (aspectMode === 'fill') {
-            width = requestedWidth;
-            const naturalHeight = Math.floor(requestedWidth / (imgRatio / fontAspectRatio));
-            height = options.height || naturalHeight;
-            // For fill, we'll handle cropping in the draw phase
-        } else {
-            // fit (default)
-            width = requestedWidth;
-            height = options.height || Math.floor(requestedWidth / (imgRatio / fontAspectRatio));
-        }
-
-        // Resolve CharSet
-        let charSet = options.charSet || 'standard';
-        if (CHAR_SETS[charSet]) {
-            charSet = CHAR_SETS[charSet];
-        }
-
-        // Initialize Canvas
-        if (!this.canvas) {
-            this.canvas = document.createElement('canvas');
-        }
-        this.canvas.width = width;
-        this.canvas.height = height;
-        this.ctx = this.canvas.getContext('2d');
-
-        // Reuse offscreen canvas for memory efficiency
-        if (!this.sharpCanvas) {
-            this.sharpCanvas = document.createElement('canvas');
-        }
-        this.sharpCanvas.width = width;
-        this.sharpCanvas.height = height;
-        this.sharpCtx = this.sharpCanvas.getContext('2d');
-
-        const exposure = options.exposure ?? 1.0;
-        const contrast = options.contrast ?? 1.0;
-        const saturation = options.saturation ?? 1.2;
-        const gamma = options.gamma ?? 1.0;
-        const dither = options.dither ?? false;
-        const enhanceEdges = options.enhanceEdges ?? false;
-        const autoStretch = options.autoStretch !== false; // default true
-        const overlayStrength = options.overlayStrength ?? 0.3;
-        const denoise = options.denoise ?? false;
-        const colorOutput = options.color ?? false;
-
-        onProgress(20);
-
-        // Denoise pre-processing (slight blur to reduce noise)
-        let sourceImage = img;
-        if (denoise) {
-            if (!this.denoiseCanvas) {
-                this.denoiseCanvas = document.createElement('canvas');
-            }
-            this.denoiseCanvas.width = width;
-            this.denoiseCanvas.height = height;
-            this.denoiseCtx = this.denoiseCanvas.getContext('2d');
-            this.denoiseCtx.filter = 'blur(0.5px)';
-            this.denoiseCtx.drawImage(img, 0, 0, width, height);
-            sourceImage = this.denoiseCanvas;
-        }
-
-        // Calculate draw parameters for fill mode (center crop)
-        let sx = 0, sy = 0, sw = img.width, sh = img.height;
-        if (aspectMode === 'fill' && options.height) {
-            const targetRatio = width / (options.height * fontAspectRatio);
-            if (imgRatio > targetRatio) {
-                // Image is wider, crop sides
-                sw = img.height * targetRatio;
-                sx = (img.width - sw) / 2;
-            } else {
-                // Image is taller, crop top/bottom
-                sh = img.width / targetRatio;
-                sy = (img.height - sh) / 2;
-            }
-        }
-
-        this.sharpCtx.filter = `brightness(${exposure}) contrast(${contrast}) saturate(${saturation})`;
-        if (denoise && sourceImage === this.denoiseCanvas) {
-            this.sharpCtx.drawImage(sourceImage, 0, 0, width, height);
-        } else {
-            this.sharpCtx.drawImage(img, sx, sy, sw, sh, 0, 0, width, height);
-        }
-
-        // Optional edge enhancement for line art (Laplacian-like sharpening)
-        if (enhanceEdges) {
-            this.sharpCtx.filter = 'none';
-            this.sharpCtx.globalCompositeOperation = 'source-over';
-            const edgeCanvas = document.createElement('canvas');
-            edgeCanvas.width = width;
-            edgeCanvas.height = height;
-            const edgeCtx = edgeCanvas.getContext('2d');
-            edgeCtx.filter = 'contrast(2) brightness(0.8)';
-            edgeCtx.drawImage(this.sharpCanvas, 0, 0);
-            this.sharpCtx.globalAlpha = 0.4;
-            this.sharpCtx.globalCompositeOperation = 'multiply';
-            this.sharpCtx.drawImage(edgeCanvas, 0, 0);
-            this.sharpCtx.globalCompositeOperation = 'source-over';
-            this.sharpCtx.globalAlpha = 1.0;
-        }
-
-        onProgress(40);
-
-        /**
-         * Filter stacking with overlay blend:
-         * This technique boosts mid-contrast by overlaying the image on itself.
-         * The strength is configurable via overlayStrength option.
-         */
-        this.ctx.globalAlpha = 1.0;
-        this.ctx.drawImage(this.sharpCanvas, 0, 0);
-        if (overlayStrength > 0) {
-            this.ctx.globalCompositeOperation = 'overlay';
-            this.ctx.globalAlpha = overlayStrength;
-            this.ctx.drawImage(this.sharpCanvas, 0, 0);
-            this.ctx.globalCompositeOperation = 'source-over';
-            this.ctx.globalAlpha = 1.0;
-        }
-
-        const imageData = this.ctx.getImageData(0, 0, width, height);
-        const pixels = imageData.data;
-
-        onProgress(50);
-
-        // Build luminance matrix for processing
-        const lumMatrix = new Float32Array(width * height);
-        let minLum = 1.0, maxLum = 0.0;
-
-        // Store color data if color output is requested
-        if (colorOutput) {
-            this.colorData = new Uint8Array(width * height * 3);
-        }
-
-        for (let i = 0; i < width * height; i++) {
-            const offset = i * 4;
-            const r = pixels[offset];
-            const g = pixels[offset + 1];
-            const b = pixels[offset + 2];
-            let lum = (0.2126 * r + 0.7152 * g + 0.0722 * b) / 255;
-
-            // Store original colors for color output
-            if (colorOutput) {
-                this.colorData[i * 3] = r;
-                this.colorData[i * 3 + 1] = g;
-                this.colorData[i * 3 + 2] = b;
-            }
-
-            // Gamma correction
-            if (gamma !== 1.0) {
-                lum = Math.pow(lum, gamma);
-            }
-
-            // Invert
-            if (options.invert) {
-                lum = 1 - lum;
-            }
-
-            lumMatrix[i] = lum;
-            if (lum < minLum) minLum = lum;
-            if (lum > maxLum) maxLum = lum;
-        }
-
-        onProgress(60);
-
-        // Histogram auto-stretch: normalize to use full character range
-        const lumRange = maxLum - minLum;
-        if (autoStretch && lumRange > 0.01) {
-            for (let i = 0; i < lumMatrix.length; i++) {
-                lumMatrix[i] = (lumMatrix[i] - minLum) / lumRange;
-            }
-        }
-
-        // Floyd-Steinberg dithering (optional)
-        if (dither) {
-            const levels = charSet.length;
-            for (let y = 0; y < height; y++) {
-                for (let x = 0; x < width; x++) {
-                    const i = y * width + x;
-                    const oldVal = lumMatrix[i];
-                    const newVal = Math.round(oldVal * (levels - 1)) / (levels - 1);
-                    lumMatrix[i] = newVal;
-                    const error = oldVal - newVal;
-
-                    // Distribute error to neighboring pixels
-                    if (x + 1 < width) lumMatrix[i + 1] += error * 7 / 16;
-                    if (y + 1 < height) {
-                        if (x > 0) lumMatrix[(y + 1) * width + (x - 1)] += error * 3 / 16;
-                        lumMatrix[(y + 1) * width + x] += error * 5 / 16;
-                        if (x + 1 < width) lumMatrix[(y + 1) * width + (x + 1)] += error * 1 / 16;
-                    }
-                }
-            }
-        }
-
-        onProgress(80);
-
-        // Build output string
-        let output = '';
-
-        if (colorOutput) {
-            // HTML color output with spans
-            for (let y = 0; y < height; y++) {
-                for (let x = 0; x < width; x++) {
-                    const i = y * width + x;
-                    const brightness = Math.max(0, Math.min(1, lumMatrix[i]));
-                    const charIndex = Math.floor(brightness * (charSet.length - 1));
-                    const safeIndex = Math.max(0, Math.min(charSet.length - 1, charIndex));
-                    const char = charSet[safeIndex];
-
-                    const r = this.colorData[i * 3];
-                    const g = this.colorData[i * 3 + 1];
-                    const b = this.colorData[i * 3 + 2];
-
-                    // Escape HTML special characters
-                    const safeChar = char === '<' ? '&lt;' : char === '>' ? '&gt;' : char === '&' ? '&amp;' : char;
-                    output += `<span style="color:rgb(${r},${g},${b})">${safeChar}</span>`;
-                }
-                output += '\n';
-            }
-        } else {
-            // Plain text output
-            for (let y = 0; y < height; y++) {
-                for (let x = 0; x < width; x++) {
-                    const brightness = Math.max(0, Math.min(1, lumMatrix[y * width + x]));
-                    const charIndex = Math.floor(brightness * (charSet.length - 1));
-                    const safeIndex = Math.max(0, Math.min(charSet.length - 1, charIndex));
-                    output += charSet[safeIndex];
-                }
-                output += '\n';
-            }
-        }
-
-        onProgress(100);
-
-        if (colorOutput) {
-            return {
-                output,
-                isHtml: true,
-                width,
-                height
-            };
-        }
-
-        return output;
-    }
-
-    getImageRatio(img) {
-        if (img.width && img.height) {
-            return img.width / img.height;
-        }
-        return 1;
-    }
-
-    resolveImage(src) {
-        return new Promise((resolve, reject) => {
-            if (src instanceof HTMLImageElement) {
-                if (src.complete) return resolve(src);
-                src.onload = () => resolve(src);
-                src.onerror = reject;
-                return;
-            }
-            const img = new Image();
-            img.crossOrigin = 'Anonymous';
-            img.src = src;
-            img.onload = () => resolve(img);
-            img.onerror = () => reject(new Error('Failed to load image'));
-        });
-    }
-}
-
-// Backward compatibility wrapper
-export async function imageToAscii(imageSource, options = {}) {
-    const generator = new AsciiGenerator();
-    return generator.generate(imageSource, options);
-}
-
-/**
- * Analyzes an image and returns suggested options (auto-tune).
- * @param {HTMLImageElement} img 
- * @returns {AsciiOptions}
- */
-/**
- * Analyzes an image and returns suggested options (auto-tune).
- * @param {HTMLImageElement} img 
- * @param {Object} [meta] - Optional metadata from API (dominant color, palette).
- * @returns {AsciiOptions}
- */
-export function autoTuneImage(img, meta = null) {
-    if (typeof document === 'undefined') return {};
-
-    const canvas = document.createElement('canvas');
-    const ctx = canvas.getContext('2d');
-    const size = 100;
-    canvas.width = size;
-    canvas.height = size;
-    ctx.drawImage(img, 0, 0, size, size);
-
-    const imageData = ctx.getImageData(0, 0, size, size);
-    const pixels = imageData.data;
-
-    const histogram = new Array(256).fill(0);
-    let totalLum = 0;
-
-    for (let i = 0; i < pixels.length; i += 4) {
-        const lum = Math.round(0.2126 * pixels[i] + 0.7152 * pixels[i + 1] + 0.0722 * pixels[i + 2]);
-        histogram[lum]++;
-        totalLum += lum;
-    }
-
-    const pixelCount = pixels.length / 4;
-    const avgLum = totalLum / pixelCount;
-
-    let p5 = null, p95 = 255, count = 0;
-    for (let i = 0; i < 256; i++) {
-        count += histogram[i];
-        if (p5 === null && count > pixelCount * 0.05) p5 = i;
-        if (count > pixelCount * 0.95) { p95 = i; break; }
-    }
-    p5 = p5 ?? 0; // Ensure p5 has a value (handles edge case where luminance 0 is the 5th percentile)
-
-    const midPoint = (p5 + p95) / 2;
-    let exposure = 128 / Math.max(midPoint, 10);
-    exposure = Math.max(0.4, Math.min(2.8, exposure));
-
-    const activeRange = p95 - p5;
-    let contrast = 1.1;
-    if (activeRange < 50) contrast = 2.5;
-    else if (activeRange < 100) contrast = 1.8;
-    else if (activeRange < 150) contrast = 1.4;
-
-    let invert = false;
-    let saturation = 1.2;
-    let useEdgeDetection = true;
-
-    // improved via Metadata if available
-    if (meta) {
-        const { color_dominant, color_palette } = meta;
-
-        // 1. Invert based on Dominant Color (more reliable than edges for anime art)
-        if (color_dominant) {
-            const [r, g, b] = color_dominant;
-            const domLum = 0.2126 * r + 0.7152 * g + 0.0722 * b;
-            // If background/dominant color is bright, we likely need to invert
-            // so that dark lines become characters (white background -> black ink)
-            if (domLum > 140) {
-                invert = true;
-                useEdgeDetection = false;
-            }
-        }
-
-        // 2. Saturation based on Palette vibrancy
-        if (color_palette && Array.isArray(color_palette) && color_palette.length > 0) {
-            let totalSat = 0;
-            for (const [r, g, b] of color_palette) {
-                const max = Math.max(r, g, b);
-                const delta = max - Math.min(r, g, b);
-                const s = max === 0 ? 0 : delta / max;
-                totalSat += s;
-            }
-            const avgSat = totalSat / color_palette.length;
-
-            if (avgSat > 0.4) saturation = 1.6;
-            else if (avgSat < 0.1) saturation = 0.0;
-            else saturation = 1.2;
-        }
-    }
-
-    // Fallback to edge detection if metadata didn't decide inversion
-    if (useEdgeDetection) {
-        let edgeLumSum = 0;
-        let edgeCount = 0;
-        for (let y = 0; y < size; y++) {
-            for (let x = 0; x < size; x++) {
-                if (x < 5 || x >= size - 5 || y < 5 || y >= size - 5) {
-                    const i = (y * size + x) * 4;
-                    edgeLumSum += 0.2126 * pixels[i] + 0.7152 * pixels[i + 1] + 0.0722 * pixels[i + 2];
-                    edgeCount++;
-                }
-            }
-        }
-        const bgLum = edgeLumSum / edgeCount;
-        if (bgLum > 160) {
-            invert = true;
-        }
-    }
-
-    // Gamma < 1 lifts shadows (for dark images), gamma = 1 keeps bright images neutral
-    const gamma = avgLum < 80 ? 0.75 : 1.0;
-
-    // === SMART CHARSET RECOMMENDATION ===
-    // Analyze image characteristics to recommend the best charset
-    let recommendedCharSet = 'standard';
-    let denoise = false;
-    let enhanceEdges = false;
-    let overlayStrength = 0.3;
-
-    // Detect image type based on histogram distribution
-    const histogramPeaks = countHistogramPeaks(histogram, pixelCount);
-    const isHighContrast = activeRange > 180;
-    const isLowContrast = activeRange < 80;
-    const isBimodal = histogramPeaks <= 3;
-
-    // Check for line art characteristics (bimodal histogram, few colors)
-    if (isBimodal && activeRange > 150) {
-        recommendedCharSet = 'minimal';
-        enhanceEdges = true;
-        overlayStrength = 0.1; // Less overlay for line art
-    }
-    // High contrast images work well with blocks
-    else if (isHighContrast) {
-        recommendedCharSet = 'blocks';
-        overlayStrength = 0.2;
-    }
-    // Low contrast, possibly noisy images
-    else if (isLowContrast) {
-        recommendedCharSet = 'simple';
-        denoise = true;
-        overlayStrength = 0.5; // More overlay to boost contrast
-    }
-    // Photos with good tonal range
-    else if (activeRange > 100 && activeRange <= 180) {
-        recommendedCharSet = 'standard';
-        // Check for noise by looking at high-frequency variation
-        const noiseLevel = estimateNoiseLevel(pixels, size);
-        if (noiseLevel > 20) {
-            denoise = true;
-        }
-    }
-
-    // Use dots charset for images with lots of fine detail
-    if (meta && meta.has_fine_detail) {
-        recommendedCharSet = 'dots';
-    }
-
-    return {
-        exposure: parseFloat(exposure.toFixed(2)),
-        contrast,
-        invert,
-        gamma,
-        saturation: parseFloat(saturation.toFixed(1)),
-        charSet: recommendedCharSet,
-        denoise,
-        enhanceEdges,
-        overlayStrength
-    };
-}
-
-/**
- * Count significant peaks in histogram for image type detection.
- * @param {number[]} histogram - 256-bin luminance histogram
- * @param {number} pixelCount - Total pixel count
- * @returns {number} Number of significant peaks
- */
-function countHistogramPeaks(histogram, pixelCount) {
-    const threshold = pixelCount * 0.02; // 2% of pixels
-    let peaks = 0;
-    let inPeak = false;
-
-    for (let i = 1; i < 255; i++) {
-        const isPeak = histogram[i] > histogram[i - 1] && histogram[i] > histogram[i + 1];
-        const isSignificant = histogram[i] > threshold;
-
-        if (isPeak && isSignificant && !inPeak) {
-            peaks++;
-            inPeak = true;
-        } else if (histogram[i] < threshold / 2) {
-            inPeak = false;
-        }
-    }
-
-    return peaks;
-}
-
-/**
- * Estimate noise level in image by measuring local variance.
- * @param {Uint8ClampedArray} pixels - Image pixel data
- * @param {number} size - Image dimension
- * @returns {number} Estimated noise level (0-100)
- */
-function estimateNoiseLevel(pixels, size) {
-    let totalVariance = 0;
-    const samples = 100;
-
-    for (let s = 0; s < samples; s++) {
-        const x = Math.floor(Math.random() * (size - 2)) + 1;
-        const y = Math.floor(Math.random() * (size - 2)) + 1;
-        const i = (y * size + x) * 4;
-
-        // Get center and neighbor luminances
-        const center = 0.2126 * pixels[i] + 0.7152 * pixels[i + 1] + 0.0722 * pixels[i + 2];
-        const neighbors = [
-            (y - 1) * size + x,
-            (y + 1) * size + x,
-            y * size + (x - 1),
-            y * size + (x + 1)
-        ].map(idx => {
-            const offset = idx * 4;
-            return 0.2126 * pixels[offset] + 0.7152 * pixels[offset + 1] + 0.0722 * pixels[offset + 2];
-        });
-
-        const avgNeighbor = neighbors.reduce((a, b) => a + b, 0) / 4;
-        totalVariance += Math.abs(center - avgNeighbor);
-    }
-
-    return totalVariance / samples;
-}

src/scripts/ascii.ts

@@ -0,0 +1,546 @@
+export interface AsciiOptions {
+  width?: number;
+  height?: number;
+  contrast?: number;
+  exposure?: number;
+  invert?: boolean;
+  saturation?: number;
+  gamma?: number;
+  charSet?: CharSetKey | string;
+  color?: boolean;
+  dither?: boolean;
+  enhanceEdges?: boolean;
+  autoStretch?: boolean;
+  overlayStrength?: number;
+  aspectMode?: 'fit' | 'fill' | 'stretch';
+  denoise?: boolean;
+  fontAspectRatio?: number;
+  onProgress?: (progress: number) => void;
+}
+
+export interface AsciiResult {
+  output: string;
+  isHtml: boolean;
+  width: number;
+  height: number;
+}
+
+export type CharSetKey = 'standard' | 'simple' | 'blocks' | 'minimal' | 'matrix' | 'dots' | 'ascii_extended';
+export type AspectMode = 'fit' | 'fill' | 'stretch';
+
+export const CHAR_SETS: Record<CharSetKey, string> = {
+  standard: '@W%$NQ08GBR&ODHKUgSMw#Xbdp5q9C26APahk3EFVesm{}o4JZcjnuy[f1xi*7zYt(l/I\\v)T?]r><+^"L;|!~:,-_.\' ',
+  simple: '@%#*+=-:. ',
+  blocks: '█▓▒░ ',
+  minimal: '#+-. ',
+  matrix: 'ﾊﾐﾋｰｳｼﾅﾓﾆｻﾜﾂｵﾘｱﾎﾃﾏｹﾒｴｶｷﾑﾕﾗｾﾈｽﾀﾇﾍ1234567890:.=*+-<>',
+  dots: '⣿⣷⣯⣟⡿⢿⣻⣽⣾⣶⣦⣤⣄⣀⡀ ',
+  ascii_extended: '░▒▓█▀▄▌▐│┤╡╢╖╕╣║╗╝╜╛┐└┴┬├─┼╞╟╚╔╩╦╠═╬╧╨╤╥╙╘╒╓╫╪┘┌ '
+};
+
+export const ASPECT_MODES: Record<string, AspectMode> = {
+  fit: 'fit',
+  fill: 'fill',
+  stretch: 'stretch'
+};
+
+interface ImageMetadata {
+  color_dominant?: [number, number, number];
+  color_palette?: [number, number, number][];
+  has_fine_detail?: boolean;
+}
+
+export class AsciiGenerator {
+  private ctx: CanvasRenderingContext2D | null = null;
+  private canvas: HTMLCanvasElement | null = null;
+  private sharpCanvas: HTMLCanvasElement | null = null;
+  private sharpCtx: CanvasRenderingContext2D | null = null;
+  private denoiseCanvas: HTMLCanvasElement | null = null;
+  private denoiseCtx: CanvasRenderingContext2D | null = null;
+  private colorData: Uint8Array | null = null;
+
+  dispose(): void {
+    this.ctx = null;
+    this.sharpCtx = null;
+    this.denoiseCtx = null;
+    this.colorData = null;
+
+    if (this.canvas) {
+      this.canvas.width = 0;
+      this.canvas.height = 0;
+      this.canvas = null;
+    }
+    if (this.sharpCanvas) {
+      this.sharpCanvas.width = 0;
+      this.sharpCanvas.height = 0;
+      this.sharpCanvas = null;
+    }
+    if (this.denoiseCanvas) {
+      this.denoiseCanvas.width = 0;
+      this.denoiseCanvas.height = 0;
+      this.denoiseCanvas = null;
+    }
+  }
+
+  async generate(imageSource: string | HTMLImageElement, options: AsciiOptions = {}): Promise<string | AsciiResult> {
+    if (typeof document === 'undefined') {
+      throw new Error('AsciiGenerator requires a browser environment.');
+    }
+
+    const onProgress = options.onProgress ?? (() => { });
+    onProgress(0);
+
+    const img = await this.resolveImage(imageSource);
+    onProgress(10);
+
+    const requestedWidth = options.width ?? 100;
+    const fontAspectRatio = options.fontAspectRatio ?? 0.55;
+    const imgRatio = this.getImageRatio(img);
+    const aspectMode = options.aspectMode ?? 'fit';
+
+    let width: number, height: number;
+    if (aspectMode === 'stretch') {
+      width = requestedWidth;
+      height = options.height ?? Math.floor(requestedWidth / 2);
+    } else if (aspectMode === 'fill') {
+      width = requestedWidth;
+      const naturalHeight = Math.floor(requestedWidth / (imgRatio / fontAspectRatio));
+      height = options.height ?? naturalHeight;
+    } else {
+      width = requestedWidth;
+      height = options.height ?? Math.floor(requestedWidth / (imgRatio / fontAspectRatio));
+    }
+
+    let charSet: string = options.charSet ?? 'standard';
+    if (charSet in CHAR_SETS) {
+      charSet = CHAR_SETS[charSet as CharSetKey];
+    }
+
+    if (!this.canvas) {
+      this.canvas = document.createElement('canvas');
+    }
+    this.canvas.width = width;
+    this.canvas.height = height;
+    this.ctx = this.canvas.getContext('2d');
+
+    if (!this.sharpCanvas) {
+      this.sharpCanvas = document.createElement('canvas');
+    }
+    this.sharpCanvas.width = width;
+    this.sharpCanvas.height = height;
+    this.sharpCtx = this.sharpCanvas.getContext('2d');
+
+    const exposure = options.exposure ?? 1.0;
+    const contrast = options.contrast ?? 1.0;
+    const saturation = options.saturation ?? 1.2;
+    const gamma = options.gamma ?? 1.0;
+    const dither = options.dither ?? false;
+    const enhanceEdges = options.enhanceEdges ?? false;
+    const autoStretch = options.autoStretch !== false;
+    const overlayStrength = options.overlayStrength ?? 0.3;
+    const denoise = options.denoise ?? false;
+    const colorOutput = options.color ?? false;
+
+    onProgress(20);
+
+    let sourceImage: HTMLImageElement | HTMLCanvasElement = img;
+    if (denoise) {
+      if (!this.denoiseCanvas) {
+        this.denoiseCanvas = document.createElement('canvas');
+      }
+      this.denoiseCanvas.width = width;
+      this.denoiseCanvas.height = height;
+      this.denoiseCtx = this.denoiseCanvas.getContext('2d');
+      if (this.denoiseCtx) {
+        this.denoiseCtx.filter = 'blur(0.5px)';
+        this.denoiseCtx.drawImage(img, 0, 0, width, height);
+        sourceImage = this.denoiseCanvas;
+      }
+    }
+
+    let sx = 0, sy = 0, sw = img.width, sh = img.height;
+    if (aspectMode === 'fill' && options.height) {
+      const targetRatio = width / (options.height * fontAspectRatio);
+      if (imgRatio > targetRatio) {
+        sw = img.height * targetRatio;
+        sx = (img.width - sw) / 2;
+      } else {
+        sh = img.width / targetRatio;
+        sy = (img.height - sh) / 2;
+      }
+    }
+
+    if (this.sharpCtx) {
+      this.sharpCtx.filter = `brightness(${exposure}) contrast(${contrast}) saturate(${saturation})`;
+      if (denoise && sourceImage === this.denoiseCanvas) {
+        this.sharpCtx.drawImage(sourceImage, 0, 0, width, height);
+      } else {
+        this.sharpCtx.drawImage(img, sx, sy, sw, sh, 0, 0, width, height);
+      }
+    }
+
+    if (enhanceEdges && this.sharpCtx) {
+      this.sharpCtx.filter = 'none';
+      this.sharpCtx.globalCompositeOperation = 'source-over';
+      const edgeCanvas = document.createElement('canvas');
+      edgeCanvas.width = width;
+      edgeCanvas.height = height;
+      const edgeCtx = edgeCanvas.getContext('2d');
+      if (edgeCtx) {
+        edgeCtx.filter = 'contrast(2) brightness(0.8)';
+        edgeCtx.drawImage(this.sharpCanvas!, 0, 0);
+        this.sharpCtx.globalAlpha = 0.4;
+        this.sharpCtx.globalCompositeOperation = 'multiply';
+        this.sharpCtx.drawImage(edgeCanvas, 0, 0);
+        this.sharpCtx.globalCompositeOperation = 'source-over';
+        this.sharpCtx.globalAlpha = 1.0;
+      }
+    }
+
+    onProgress(40);
+
+    if (this.ctx && this.sharpCanvas) {
+      this.ctx.globalAlpha = 1.0;
+      this.ctx.drawImage(this.sharpCanvas, 0, 0);
+      if (overlayStrength > 0) {
+        this.ctx.globalCompositeOperation = 'overlay';
+        this.ctx.globalAlpha = overlayStrength;
+        this.ctx.drawImage(this.sharpCanvas, 0, 0);
+        this.ctx.globalCompositeOperation = 'source-over';
+        this.ctx.globalAlpha = 1.0;
+      }
+    }
+
+    const imageData = this.ctx!.getImageData(0, 0, width, height);
+    const pixels = imageData.data;
+
+    onProgress(50);
+
+    const lumMatrix = new Float32Array(width * height);
+    let minLum = 1.0, maxLum = 0.0;
+
+    if (colorOutput) {
+      this.colorData = new Uint8Array(width * height * 3);
+    }
+
+    for (let i = 0; i < width * height; i++) {
+      const offset = i * 4;
+      const r = pixels[offset];
+      const g = pixels[offset + 1];
+      const b = pixels[offset + 2];
+      let lum = (0.2126 * r + 0.7152 * g + 0.0722 * b) / 255;
+
+      if (colorOutput && this.colorData) {
+        this.colorData[i * 3] = r;
+        this.colorData[i * 3 + 1] = g;
+        this.colorData[i * 3 + 2] = b;
+      }
+
+      if (gamma !== 1.0) {
+        lum = Math.pow(lum, gamma);
+      }
+
+      if (options.invert) {
+        lum = 1 - lum;
+      }
+
+      lumMatrix[i] = lum;
+      if (lum < minLum) minLum = lum;
+      if (lum > maxLum) maxLum = lum;
+    }
+
+    onProgress(60);
+
+    const lumRange = maxLum - minLum;
+    if (autoStretch && lumRange > 0.01) {
+      for (let i = 0; i < lumMatrix.length; i++) {
+        lumMatrix[i] = (lumMatrix[i] - minLum) / lumRange;
+      }
+    }
+
+    if (dither) {
+      const levels = charSet.length;
+      for (let y = 0; y < height; y++) {
+        for (let x = 0; x < width; x++) {
+          const i = y * width + x;
+          const oldVal = lumMatrix[i];
+          const newVal = Math.round(oldVal * (levels - 1)) / (levels - 1);
+          lumMatrix[i] = newVal;
+          const error = oldVal - newVal;
+
+          if (x + 1 < width) lumMatrix[i + 1] += error * 7 / 16;
+          if (y + 1 < height) {
+            if (x > 0) lumMatrix[(y + 1) * width + (x - 1)] += error * 3 / 16;
+            lumMatrix[(y + 1) * width + x] += error * 5 / 16;
+            if (x + 1 < width) lumMatrix[(y + 1) * width + (x + 1)] += error * 1 / 16;
+          }
+        }
+      }
+    }
+
+    onProgress(80);
+
+    let output = '';
+
+    if (colorOutput && this.colorData) {
+      for (let y = 0; y < height; y++) {
+        for (let x = 0; x < width; x++) {
+          const i = y * width + x;
+          const brightness = Math.max(0, Math.min(1, lumMatrix[i]));
+          const charIndex = Math.floor(brightness * (charSet.length - 1));
+          const safeIndex = Math.max(0, Math.min(charSet.length - 1, charIndex));
+          const char = charSet[safeIndex];
+
+          const r = this.colorData[i * 3];
+          const g = this.colorData[i * 3 + 1];
+          const b = this.colorData[i * 3 + 2];
+
+          const safeChar = char === '<' ? '&lt;' : char === '>' ? '&gt;' : char === '&' ? '&amp;' : char;
+          output += `<span style="color:rgb(${r},${g},${b})">${safeChar}</span>`;
+        }
+        output += '\n';
+      }
+    } else {
+      for (let y = 0; y < height; y++) {
+        for (let x = 0; x < width; x++) {
+          const brightness = Math.max(0, Math.min(1, lumMatrix[y * width + x]));
+          const charIndex = Math.floor(brightness * (charSet.length - 1));
+          const safeIndex = Math.max(0, Math.min(charSet.length - 1, charIndex));
+          output += charSet[safeIndex];
+        }
+        output += '\n';
+      }
+    }
+
+    onProgress(100);
+
+    if (colorOutput) {
+      return {
+        output,
+        isHtml: true,
+        width,
+        height
+      };
+    }
+
+    return output;
+  }
+
+  private getImageRatio(img: HTMLImageElement): number {
+    if (img.width && img.height) {
+      return img.width / img.height;
+    }
+    return 1;
+  }
+
+  private resolveImage(src: string | HTMLImageElement): Promise<HTMLImageElement> {
+    return new Promise((resolve, reject) => {
+      if (src instanceof HTMLImageElement) {
+        if (src.complete) return resolve(src);
+        src.onload = () => resolve(src);
+        src.onerror = reject;
+        return;
+      }
+      const img = new Image();
+      img.crossOrigin = 'Anonymous';
+      img.src = src;
+      img.onload = () => resolve(img);
+      img.onerror = () => reject(new Error('Failed to load image'));
+    });
+  }
+}
+
+export async function imageToAscii(imageSource: string | HTMLImageElement, options: AsciiOptions = {}): Promise<string | AsciiResult> {
+  const generator = new AsciiGenerator();
+  return generator.generate(imageSource, options);
+}
+
+export function autoTuneImage(img: HTMLImageElement, meta: ImageMetadata | null = null): Partial<AsciiOptions> {
+  if (typeof document === 'undefined') return {};
+
+  const canvas = document.createElement('canvas');
+  const ctx = canvas.getContext('2d');
+  if (!ctx) return {};
+
+  const size = 100;
+  canvas.width = size;
+  canvas.height = size;
+  ctx.drawImage(img, 0, 0, size, size);
+
+  const imageData = ctx.getImageData(0, 0, size, size);
+  const pixels = imageData.data;
+
+  const histogram = new Array(256).fill(0);
+  let totalLum = 0;
+
+  for (let i = 0; i < pixels.length; i += 4) {
+    const lum = Math.round(0.2126 * pixels[i] + 0.7152 * pixels[i + 1] + 0.0722 * pixels[i + 2]);
+    histogram[lum]++;
+    totalLum += lum;
+  }
+
+  const pixelCount = pixels.length / 4;
+  const avgLum = totalLum / pixelCount;
+
+  let p5: number | null = null, p95 = 255, count = 0;
+  for (let i = 0; i < 256; i++) {
+    count += histogram[i];
+    if (p5 === null && count > pixelCount * 0.05) p5 = i;
+    if (count > pixelCount * 0.95) { p95 = i; break; }
+  }
+  p5 = p5 ?? 0;
+
+  const midPoint = (p5 + p95) / 2;
+  let exposure = 128 / Math.max(midPoint, 10);
+  exposure = Math.max(0.4, Math.min(2.8, exposure));
+
+  const activeRange = p95 - p5;
+  let contrast = 1.1;
+  if (activeRange < 50) contrast = 2.5;
+  else if (activeRange < 100) contrast = 1.8;
+  else if (activeRange < 150) contrast = 1.4;
+
+  let invert = false;
+  let saturation = 1.2;
+  let useEdgeDetection = true;
+
+  if (meta) {
+    const { color_dominant, color_palette } = meta;
+
+    if (color_dominant) {
+      const [r, g, b] = color_dominant;
+      const domLum = 0.2126 * r + 0.7152 * g + 0.0722 * b;
+      if (domLum > 140) {
+        invert = true;
+        useEdgeDetection = false;
+      }
+    }
+
+    if (color_palette && Array.isArray(color_palette) && color_palette.length > 0) {
+      let totalSat = 0;
+      for (const [r, g, b] of color_palette) {
+        const max = Math.max(r, g, b);
+        const delta = max - Math.min(r, g, b);
+        const s = max === 0 ? 0 : delta / max;
+        totalSat += s;
+      }
+      const avgSat = totalSat / color_palette.length;
+
+      if (avgSat > 0.4) saturation = 1.6;
+      else if (avgSat < 0.1) saturation = 0.0;
+      else saturation = 1.2;
+    }
+  }
+
+  if (useEdgeDetection) {
+    let edgeLumSum = 0;
+    let edgeCount = 0;
+    for (let y = 0; y < size; y++) {
+      for (let x = 0; x < size; x++) {
+        if (x < 5 || x >= size - 5 || y < 5 || y >= size - 5) {
+          const i = (y * size + x) * 4;
+          edgeLumSum += 0.2126 * pixels[i] + 0.7152 * pixels[i + 1] + 0.0722 * pixels[i + 2];
+          edgeCount++;
+        }
+      }
+    }
+    const bgLum = edgeLumSum / edgeCount;
+    if (bgLum > 160) {
+      invert = true;
+    }
+  }
+
+  const gamma = avgLum < 80 ? 0.75 : 1.0;
+
+  let recommendedCharSet: CharSetKey = 'standard';
+  let denoise = false;
+  let enhanceEdges = false;
+  let overlayStrength = 0.3;
+
+  const histogramPeaks = countHistogramPeaks(histogram, pixelCount);
+  const isHighContrast = activeRange > 180;
+  const isLowContrast = activeRange < 80;
+  const isBimodal = histogramPeaks <= 3;
+
+  if (isBimodal && activeRange > 150) {
+    recommendedCharSet = 'minimal';
+    enhanceEdges = true;
+    overlayStrength = 0.1;
+  } else if (isHighContrast) {
+    recommendedCharSet = 'blocks';
+    overlayStrength = 0.2;
+  } else if (isLowContrast) {
+    recommendedCharSet = 'simple';
+    denoise = true;
+    overlayStrength = 0.5;
+  } else if (activeRange > 100 && activeRange <= 180) {
+    recommendedCharSet = 'standard';
+    const noiseLevel = estimateNoiseLevel(pixels, size);
+    if (noiseLevel > 20) {
+      denoise = true;
+    }
+  }
+
+  if (meta?.has_fine_detail) {
+    recommendedCharSet = 'dots';
+  }
+
+  return {
+    exposure: parseFloat(exposure.toFixed(2)),
+    contrast,
+    invert,
+    gamma,
+    saturation: parseFloat(saturation.toFixed(1)),
+    charSet: recommendedCharSet,
+    denoise,
+    enhanceEdges,
+    overlayStrength
+  };
+}
+
+function countHistogramPeaks(histogram: number[], pixelCount: number): number {
+  const threshold = pixelCount * 0.02;
+  let peaks = 0;
+  let inPeak = false;
+
+  for (let i = 1; i < 255; i++) {
+    const isPeak = histogram[i] > histogram[i - 1] && histogram[i] > histogram[i + 1];
+    const isSignificant = histogram[i] > threshold;
+
+    if (isPeak && isSignificant && !inPeak) {
+      peaks++;
+      inPeak = true;
+    } else if (histogram[i] < threshold / 2) {
+      inPeak = false;
+    }
+  }
+
+  return peaks;
+}
+
+function estimateNoiseLevel(pixels: Uint8ClampedArray, size: number): number {
+  let totalVariance = 0;
+  const samples = 100;
+
+  for (let s = 0; s < samples; s++) {
+    const x = Math.floor(Math.random() * (size - 2)) + 1;
+    const y = Math.floor(Math.random() * (size - 2)) + 1;
+    const i = (y * size + x) * 4;
+
+    const center = 0.2126 * pixels[i] + 0.7152 * pixels[i + 1] + 0.0722 * pixels[i + 2];
+    const neighbors = [
+      (y - 1) * size + x,
+      (y + 1) * size + x,
+      y * size + (x - 1),
+      y * size + (x + 1)
+    ].map(idx => {
+      const offset = idx * 4;
+      return 0.2126 * pixels[offset] + 0.7152 * pixels[offset + 1] + 0.0722 * pixels[offset + 2];
+    });
+
+    const avgNeighbor = neighbors.reduce((a, b) => a + b, 0) / 4;
+    totalVariance += Math.abs(center - avgNeighbor);
+  }
+
+  return totalVariance / samples;
+}

src/scripts/image-loader.ts

@@ -0,0 +1,135 @@
+import { RateLimiter } from './rate-limiter.js';
+
+const rateLimiter = new RateLimiter({ minDelay: 1500 });
+const imageCache = new Map<string, HTMLImageElement>();
+const failedImages = new Set<string>();
+
+interface ApiProvider {
+  name: string;
+  base: string;
+  key: string | null;
+  categories: Record<string, string>;
+  requiresKey: boolean;
+}
+
+interface ApiResponse {
+  url: string;
+  artist: string | undefined;
+  sourceUrl: string | undefined;
+  meta: Record<string, unknown>;
+}
+
+interface FetchOptions {
+  category?: string;
+}
+
+const API_PROVIDERS: ApiProvider[] = [
+  {
+    name: 'waifu.pics',
+    base: 'https://api.waifu.pics/sfw/waifu',
+    key: null,
+    categories: { waifu: 'waifu' },
+    requiresKey: false
+  }
+];
+
+let currentProviderIndex = 0;
+
+async function fetchFromProvider(_category: string, provider: ApiProvider): Promise<ApiResponse> {
+  const apiBase = provider.base;
+
+  const headers: Record<string, string> = { 'Accept': 'application/json' };
+  if (provider.key) {
+    headers['Authorization'] = `ApiKey ${provider.key}`;
+  }
+
+  try {
+    const response = await fetch(apiBase, { headers });
+    rateLimiter.updateFromHeaders(response.headers);
+
+    if (!response.ok) {
+      throw new Error(`API Error (${provider.name}): ${response.status} ${response.statusText}`);
+    }
+
+    const data = await response.json() as { url?: string };
+
+    if (!data.url) {
+      throw new Error(`Invalid API response format from ${provider.name}: No URL found.`);
+    }
+
+    const imageUrl = data.url;
+
+    return {
+      url: `/api-proxy?url=${encodeURIComponent(imageUrl)}`,
+      artist: undefined,
+      sourceUrl: undefined,
+      meta: data
+    };
+  } catch (error) {
+    console.error(`Failed to fetch from ${provider.name}:`, (error as Error).message);
+    throw error;
+  }
+}
+
+export async function fetchAnimeImage(options: FetchOptions = {}): Promise<ApiResponse> {
+  const { category = 'waifu' } = options;
+
+  await rateLimiter.acquire();
+
+  const numProviders = API_PROVIDERS.length;
+  let lastError: Error | undefined;
+
+  for (let i = 0; i < numProviders; i++) {
+    const providerIndex = (currentProviderIndex + i) % numProviders;
+    const provider = API_PROVIDERS[providerIndex];
+
+    try {
+      const result = await fetchFromProvider(category, provider);
+
+      if (providerIndex !== currentProviderIndex) {
+        currentProviderIndex = providerIndex;
+      }
+
+      return result;
+    } catch (error) {
+      lastError = error as Error;
+      console.warn(`Provider ${provider.name} failed, trying next...`);
+    }
+  }
+
+  console.error('Failed to fetch anime image after all providers:', lastError);
+  throw lastError;
+}
+
+export async function loadImage(url: string): Promise<HTMLImageElement> {
+  if (failedImages.has(url)) {
+    throw new Error('Image failed to load previously');
+  }
+
+  if (imageCache.has(url)) {
+    return imageCache.get(url)!;
+  }
+
+  const img = new Image();
+  img.crossOrigin = 'Anonymous';
+
+  return new Promise((resolve, reject) => {
+    img.onload = () => {
+      imageCache.set(url, img);
+      resolve(img);
+    };
+    img.onerror = (error) => {
+      imageCache.delete(url);
+      failedImages.add(url);
+      reject(error);
+    };
+    img.src = url;
+  });
+}
+
+export function clearCache(): void {
+  imageCache.clear();
+  failedImages.clear();
+}
+
+export type { ApiResponse as AnimeImageResult };

src/scripts/rate-limiter.ts

@@ -0,0 +1,73 @@
+export interface RateLimiterOptions {
+    maxTokens?: number;
+    refillRate?: number;
+    minDelay?: number;
+}
+
+export class RateLimiter {
+    private maxTokens: number;
+    private tokens: number;
+    private refillRate: number;
+    private lastRefill: number;
+    private retryAfter: number;
+    private minDelay: number;
+
+    constructor(options: RateLimiterOptions = {}) {
+        this.maxTokens = options.maxTokens ?? 1;
+        this.tokens = this.maxTokens;
+        this.refillRate = options.refillRate ?? 1;
+        this.lastRefill = Date.now();
+        this.retryAfter = 0;
+        this.minDelay = options.minDelay ?? 1000;
+    }
+
+    private refill(): void {
+        const now = Date.now();
+        const elapsed = (now - this.lastRefill) / 1000;
+        this.tokens = Math.min(this.maxTokens, this.tokens + elapsed * this.refillRate);
+        this.lastRefill = now;
+    }
+
+    public async acquire(): Promise<void> {
+        this.refill();
+
+        if (this.retryAfter > 0) {
+            await new Promise(resolve => setTimeout(resolve, this.retryAfter));
+            this.retryAfter = 0;
+        }
+
+        if (this.tokens < 1) {
+            const waitTime = Math.max(this.minDelay, (1 - this.tokens) * 1000 / this.refillRate);
+            await new Promise(resolve => setTimeout(resolve, waitTime));
+            this.refill();
+        }
+
+        this.tokens -= 1;
+    }
+
+    public updateFromHeaders(headers: Headers): void {
+        if (!headers) return;
+
+        const remaining = headers.get('RateLimit-Remaining');
+        const limit = headers.get('RateLimit-Limit');
+        const retryAfterHeader = headers.get('Retry-After');
+
+        if (remaining !== null) {
+            this.tokens = parseFloat(remaining);
+        }
+
+        if (limit !== null) {
+            this.maxTokens = parseFloat(limit);
+            this.refillRate = this.maxTokens;
+        }
+
+        if (retryAfterHeader !== null) {
+            this.retryAfter = parseFloat(retryAfterHeader) * 1000;
+        }
+    }
+
+    public getRemaining(): number {
+        this.refill();
+        return Math.floor(this.tokens);
+    }
+}

src/scripts/webgl-ascii.ts

@@ -1,18 +1,63 @@
 
+
+export interface RenderOptions {
+    charSetContent: string;
+    fontFamily?: string;
+    width: number;
+    height: number;
+    exposure: number;
+    contrast: number;
+    saturation: number;
+    gamma: number;
+    invert: boolean;
+    color: boolean;
+    overlayStrength?: number;
+    enhanceEdges?: boolean;
+    dither?: boolean;
+    denoise?: boolean;
+    zoom?: number;
+    zoomCenter?: { x: number; y: number };
+    mousePos?: { x: number; y: number };
+    magnifierRadius?: number;
+    magnifierZoom?: number;
+    showMagnifier?: boolean;
+}
+
+export interface MagnifierOptions {
+    mousePos?: { x: number; y: number };
+    zoom?: number;
+    zoomCenter?: { x: number; y: number };
+    magnifierRadius?: number;
+    magnifierZoom?: number;
+    showMagnifier?: boolean;
+}
+
 export class WebGLAsciiRenderer {
-    constructor(canvas) {
+
-        this.canvas = canvas;
+    private gl: WebGLRenderingContext;
-        this.gl = canvas.getContext('webgl', { antialias: false });
+    private program: WebGLProgram | null;
-        if (!this.gl) {
+    private textures: { image?: WebGLTexture; atlas?: WebGLTexture };
+    private buffers: { position?: WebGLBuffer; texCoord?: WebGLBuffer };
+    private charAtlas: { width: number; height: number; charWidth: number; charHeight: number; count: number } | null;
+    private charSet: string;
+    private uniformLocations: Record<string, WebGLUniformLocation | null> = {};
+
+    private fontFamily: string;
+    private lastImage: HTMLImageElement | null;
+
+    constructor(_canvas: HTMLCanvasElement) {
+        const gl = _canvas.getContext('webgl', { antialias: false });
+        if (!gl) {
             throw new Error('WebGL not supported');
         }
+        this.gl = gl;
 
         this.program = null;
         this.textures = {};
         this.buffers = {};
         this.charAtlas = null;
         this.charSet = '';
-        this.fontSize = 12;
+        this.lastImage = null;
         this.fontFamily = "'JetBrains Mono', monospace";
 
         this.init();
@@ -175,6 +220,7 @@ export class WebGLAsciiRenderer {
         `;
 
         this.program = this.createProgram(vsSource, fsSource);
+        this.cacheUniformLocations();
 
         // Grid buffers
         const positions = new Float32Array([
@@ -195,11 +241,31 @@ export class WebGLAsciiRenderer {
         gl.bufferData(gl.ARRAY_BUFFER, texCoords, gl.STATIC_DRAW);
     }
 
-    createProgram(vsSource, fsSource) {
+    private cacheUniformLocations(): void {
+        if (!this.program) return;
+        const gl = this.gl;
+        const uniforms = [
+            'u_image', 'u_atlas', 'u_charCount', 'u_gridSize', 'u_texSize',
+            'u_exposure', 'u_contrast', 'u_saturation', 'u_gamma',
+            'u_invert', 'u_color', 'u_overlayStrength', 'u_enhanceEdges',
+            'u_zoom', 'u_zoomCenter', 'u_mousePos',
+            'u_magnifierRadius', 'u_magnifierZoom', 'u_showMagnifier', 'u_aspect'
+        ];
+        for (const name of uniforms) {
+            this.uniformLocations[name] = gl.getUniformLocation(this.program, name);
+        }
+    }
+
+    createProgram(vsSource: string, fsSource: string): WebGLProgram | null {
         const gl = this.gl;
         const vs = this.compileShader(gl.VERTEX_SHADER, vsSource);
         const fs = this.compileShader(gl.FRAGMENT_SHADER, fsSource);
+
+        if (!vs || !fs) return null;
+
         const program = gl.createProgram();
+        if (!program) return null;
+
         gl.attachShader(program, vs);
         gl.attachShader(program, fs);
         gl.linkProgram(program);
@@ -210,9 +276,11 @@ export class WebGLAsciiRenderer {
         return program;
     }
 
-    compileShader(type, source) {
+    compileShader(type: number, source: string): WebGLShader | null {
         const gl = this.gl;
         const shader = gl.createShader(type);
+        if (!shader) return null;
+
         gl.shaderSource(shader, source);
         gl.compileShader(shader);
         if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {
@@ -223,7 +291,7 @@ export class WebGLAsciiRenderer {
         return shader;
     }
 
-    updateAtlas(charSet, fontName = 'monospace') {
+    updateAtlas(charSet: string, fontName = 'monospace') {
         if (this.charSet === charSet && this.fontFamily === fontName && this.charAtlas) return;
 
         this.charSet = charSet;
@@ -231,6 +299,7 @@ export class WebGLAsciiRenderer {
 
         const canvas = document.createElement('canvas');
         const ctx = canvas.getContext('2d');
+        if (!ctx) return;
         const fontSize = 32; // Higher resolution for atlas
         ctx.font = `${fontSize}px ${fontName}`;
 
@@ -254,7 +323,10 @@ export class WebGLAsciiRenderer {
         const gl = this.gl;
         if (this.textures.atlas) gl.deleteTexture(this.textures.atlas);
 
-        this.textures.atlas = gl.createTexture();
+        const atlasTexture = gl.createTexture();
+        if (!atlasTexture) return;
+        this.textures.atlas = atlasTexture;
+
         gl.bindTexture(gl.TEXTURE_2D, this.textures.atlas);
         gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, canvas);
         gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);
@@ -271,16 +343,55 @@ export class WebGLAsciiRenderer {
         };
     }
 
-    render(image, options) {
+    updateGrid(width: number, height: number) {
         const gl = this.gl;
-        const program = this.program;
+        const u = this.uniformLocations;
+        gl.useProgram(this.program);
+        gl.uniform2f(u['u_gridSize'], width, height);
+    }
 
+    updateUniforms(options: RenderOptions) {
+        const gl = this.gl;
+        const u = this.uniformLocations;
+
+        gl.useProgram(this.program);
+
+        // Update Atlas if needed (expensive check inside)
         this.updateAtlas(options.charSetContent, options.fontFamily || 'monospace');
+        if (this.charAtlas) {
+            gl.uniform1f(u['u_charCount'], this.charAtlas.count);
+            gl.uniform2f(u['u_texSize'], this.charAtlas.width, this.charAtlas.height);
+        }
+
+        gl.uniform1f(u['u_exposure'], options.exposure);
+        gl.uniform1f(u['u_contrast'], options.contrast);
+        gl.uniform1f(u['u_saturation'], options.saturation);
+        gl.uniform1f(u['u_gamma'], options.gamma);
+        gl.uniform1i(u['u_invert'], options.invert ? 1 : 0);
+        gl.uniform1i(u['u_color'], options.color ? 1 : 0);
+        gl.uniform1f(u['u_overlayStrength'], options.overlayStrength || 0.0);
+        gl.uniform1i(u['u_enhanceEdges'], options.enhanceEdges ? 1 : 0);
+
+        // Zoom & Magnifier
+        gl.uniform1f(u['u_zoom'], options.zoom || 1.0);
+        gl.uniform2f(u['u_zoomCenter'], options.zoomCenter?.x ?? 0.5, options.zoomCenter?.y ?? 0.5);
+        gl.uniform2f(u['u_mousePos'], options.mousePos?.x ?? -1.0, options.mousePos?.y ?? -1.0);
+        gl.uniform1f(u['u_magnifierRadius'], options.magnifierRadius || 0.15);
+        gl.uniform1f(u['u_magnifierZoom'], options.magnifierZoom || 2.0);
+        gl.uniform1i(u['u_showMagnifier'], options.showMagnifier ? 1 : 0);
+        gl.uniform1f(u['u_aspect'], gl.canvas.width / gl.canvas.height);
+    }
+
+    updateTexture(image: HTMLImageElement) {
+        if (this.lastImage === image && this.textures.image) return;
+
+        const gl = this.gl;
 
-        // Update image texture only if it's a new image
-        if (this.lastImage !== image) {
         if (this.textures.image) gl.deleteTexture(this.textures.image);
-            this.textures.image = gl.createTexture();
+        const texture = gl.createTexture();
+        if (!texture) throw new Error('Failed to create texture');
+        this.textures.image = texture;
+
         gl.bindTexture(gl.TEXTURE_2D, this.textures.image);
         gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);
         gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);
@@ -290,12 +401,18 @@ export class WebGLAsciiRenderer {
         this.lastImage = image;
     }
 
+    draw() {
+        const gl = this.gl;
+        const program = this.program;
+
+        if (!program || !this.textures.image || !this.textures.atlas || !this.buffers.position || !this.buffers.texCoord) return;
+
+        gl.useProgram(program);
+
         gl.viewport(0, 0, gl.canvas.width, gl.canvas.height);
         gl.clearColor(0, 0, 0, 0);
         gl.clear(gl.COLOR_BUFFER_BIT);
 
-        gl.useProgram(program);
-
         // Attributes
         const posLoc = gl.getAttribLocation(program, 'a_position');
         gl.enableVertexAttribArray(posLoc);
@@ -307,37 +424,49 @@ export class WebGLAsciiRenderer {
         gl.bindBuffer(gl.ARRAY_BUFFER, this.buffers.texCoord);
         gl.vertexAttribPointer(texLoc, 2, gl.FLOAT, false, 0, 0);
 
-        // Uniforms
+        // Bind Textures
-        gl.uniform1i(gl.getUniformLocation(program, 'u_image'), 0);
+        const u = this.uniformLocations;
+        gl.uniform1i(u['u_image'], 0);
         gl.activeTexture(gl.TEXTURE0);
         gl.bindTexture(gl.TEXTURE_2D, this.textures.image);
 
-        gl.uniform1i(gl.getUniformLocation(program, 'u_atlas'), 1);
+        gl.uniform1i(u['u_atlas'], 1);
         gl.activeTexture(gl.TEXTURE1);
         gl.bindTexture(gl.TEXTURE_2D, this.textures.atlas);
 
-        gl.uniform1f(gl.getUniformLocation(program, 'u_charCount'), this.charAtlas.count);
-        gl.uniform2f(gl.getUniformLocation(program, 'u_gridSize'), options.width, options.height);
-        gl.uniform2f(gl.getUniformLocation(program, 'u_texSize'), this.charAtlas.width, this.charAtlas.height);
-
-        gl.uniform1f(gl.getUniformLocation(program, 'u_exposure'), options.exposure);
-        gl.uniform1f(gl.getUniformLocation(program, 'u_contrast'), options.contrast);
-        gl.uniform1f(gl.getUniformLocation(program, 'u_saturation'), options.saturation);
-        gl.uniform1f(gl.getUniformLocation(program, 'u_gamma'), options.gamma);
-        gl.uniform1i(gl.getUniformLocation(program, 'u_invert'), options.invert ? 1 : 0);
-        gl.uniform1i(gl.getUniformLocation(program, 'u_color'), options.color ? 1 : 0);
-        gl.uniform1f(gl.getUniformLocation(program, 'u_overlayStrength'), options.overlayStrength || 0.0);
-        gl.uniform1i(gl.getUniformLocation(program, 'u_enhanceEdges'), options.enhanceEdges ? 1 : 0);
-
-        // Zoom & Magnifier
-        gl.uniform1f(gl.getUniformLocation(program, 'u_zoom'), options.zoom || 1.0);
-        gl.uniform2f(gl.getUniformLocation(program, 'u_zoomCenter'), options.zoomCenter?.x ?? 0.5, options.zoomCenter?.y ?? 0.5);
-        gl.uniform2f(gl.getUniformLocation(program, 'u_mousePos'), options.mousePos?.x ?? -1.0, options.mousePos?.y ?? -1.0);
-        gl.uniform1f(gl.getUniformLocation(program, 'u_magnifierRadius'), options.magnifierRadius || 0.15);
-        gl.uniform1f(gl.getUniformLocation(program, 'u_magnifierZoom'), options.magnifierZoom || 2.0);
-        gl.uniform1i(gl.getUniformLocation(program, 'u_showMagnifier'), options.showMagnifier ? 1 : 0);
-        gl.uniform1f(gl.getUniformLocation(program, 'u_aspect'), gl.canvas.width / gl.canvas.height);
-
         gl.drawArrays(gl.TRIANGLES, 0, 6);
     }
+
+    render(image: HTMLImageElement, options: RenderOptions) {
+        this.updateTexture(image);
+        this.updateGrid(options.width, options.height);
+        this.updateUniforms(options);
+        this.draw();
+    }
+
+    // Kept for backward compatibility or specialized updates
+    updateMagnifier(options: MagnifierOptions) {
+        const gl = this.gl;
+        const program = this.program;
+
+        if (!program) return;
+
+        gl.useProgram(program);
+
+        // Only update magnifier-related uniforms (using cached locations)
+        const u = this.uniformLocations;
+        const mousePos = options.mousePos ?? { x: -1, y: -1 };
+        gl.uniform2f(u['u_mousePos'], mousePos.x, mousePos.y);
+        gl.uniform1f(u['u_magnifierRadius'], options.magnifierRadius || 0.03);
+        gl.uniform1f(u['u_magnifierZoom'], options.magnifierZoom || 2.0);
+        gl.uniform1i(u['u_showMagnifier'], options.showMagnifier ? 1 : 0);
+
+        if (options.zoom !== undefined) {
+            gl.uniform1f(u['u_zoom'], options.zoom || 1.0);
+            gl.uniform2f(u['u_zoomCenter'], options.zoomCenter?.x ?? 0.5, options.zoomCenter?.y ?? 0.5);
+        }
+
+        // We can just call draw here as it's lightweight
+        this.draw();
+    }
 }

tsconfig.json

@@ -0,0 +1,21 @@
+{
+  "compilerOptions": {
+    "target": "ES2020",
+    "module": "ESNext",
+    "moduleResolution": "node",
+    "lib": ["ES2020", "DOM"],
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "resolveJsonModule": true,
+    "allowSyntheticDefaultImports": true,
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true,
+    "outDir": "./dist",
+    "rootDir": "./src"
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}