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MediaWiki:Gadget-LabelScan.js: Unterschied zwischen den Versionen

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(38 dazwischenliegende Versionen desselben Benutzers werden nicht angezeigt)
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/* global mw */
/* global mw */
(function () {
(() => {
   'use strict';
   'use strict';


   // ---------- Kurz-Helpers ----------
   const CFG = {
  const $ = (id) => document.getElementById(id);
    // ---- Daten & Model ----
  const esc = (s) => (mw.html ? mw.html.escape(String(s || '')) : String(s || ''));
    indexTitle: (window.LabelScanConfig && window.LabelScanConfig.indexTitle) ||
                'MediaWiki:Gadget-LabelScan-index.json',
    transformersURL: 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0',
    modelId: 'Xenova/clip-vit-base-patch32',
    localModelPath: '/models',          // <<— deine Modelle liegen hier


  const el = {
     topK: 3,                           // <<— MAX. 3 TREFFER
     wrap: () => $('ados-labelscan'),
     maxSide: 1280,                      // Downscale vor Auto-Crop (Performance)
     btnCam: () => $('ados-scan-btn-camera'),
 
     btnGal: () => $('ados-scan-btn-gallery'),
    // ---- Auto-Crop ----
     inCam: () => $('ados-scan-file-camera'),
    autoCrop: true,
     inGal: () => $('ados-scan-file-gallery'),
    edgeKeepRatio: 0.10,                // oberste 10% Kanten als Maske
    drop:   () => $('ados-scan-drop'),
    cropPadding: 0.08,                 // 8% Randzugabe um die Box
    run:    () => $('ados-scan-run'),
     cropMinRel: 0.40,                  // min. 40% der kleineren Bildkante
    reset:  () => $('ados-scan-reset'),
 
    stat:   () => $('ados-scan-status'),
    // ---- Score-Badges ----
    prog:  () => $('ados-scan-progress'),
    showNumericScore: false,            // true = Zahlen zeigen, false = Badges
    prev:   () => $('ados-scan-preview'),
     confidenceBands: [0.90, 0.80],      // hoch ≥0.90, mittel ≥0.80, sonst niedrig
     res:    () => $('ados-scan-results'),
 
    // ---- Sonstiges ----
     debug: true
  };
 
  // --------- Helpers ----------
   const log=(...a)=>{ if(CFG.debug) console.log('[LabelScan]',...a); };
  const warn=(...a)=>{ if(CFG.debug) console.warn('[LabelScan]',...a); };
  const err=(...a)=>{ console.error('[LabelScan]',...a); };
   const qs=id=>document.getElementById(id);
  const setStatus=t=>{ const el=qs('ados-scan-status'); if(el) el.textContent=t||''; };
   const setProgress=p=>{
    const bar=qs('ados-scan-progress'); if(!bar) return;
     if(p==null){ bar.hidden=true; bar.value=0; }
    else{ bar.hidden=false; bar.value=Math.max(0,Math.min(1,p)); }
   };
   };


   function setStatus(t){ const s=el.stat(); if(s) s.textContent = t || ''; }
   function resetResultsBox(msg){
  function setProgress(p){
    const r = qs('ados-scan-results');
    const bar = el.prog(); if(!bar) return;
    if (r) {
    if (p == null){ bar.hidden = true; bar.value = 0; }
      r.innerHTML = `<div class="empty">${msg || 'Hier erscheinen Treffer.'}</div>`;
     else { bar.hidden = false; bar.value = Math.max(0, Math.min(1, p)); }
     }
   }
   }
   function showPreview(file){
   function showPreview(file){
     try {
     const url=URL.createObjectURL(file);
      const url = URL.createObjectURL(file);
    const prev=qs('ados-scan-preview');
      const prev = el.prev();
    if(prev){
      if (prev){
      prev.innerHTML=`<img alt="Vorschau" style="max-width:260px;width:100%;height:auto;border-radius:8px;display:block;margin:0 auto;" src="${url}">`;
        prev.innerHTML = '<img alt="Vorschau" style="max-width:100%;height:auto;border-radius:8px;" src="'+url+'">';
      prev.setAttribute('aria-hidden','false');
        prev.setAttribute('aria-hidden','false');
    }
      }
  }
     } catch(e) {}
 
  function base64ToFloat32(b64){
    const bin=atob(b64), len=bin.length;
     const buf=new ArrayBuffer(len), view=new Uint8Array(buf);
    for(let i=0;i<len;i++) view[i]=bin.charCodeAt(i);
    return new Float32Array(buf);
  }
 
  // --------- Index ----------
  let INDEX=[], INDEX_EMB=[];
  async function loadIndex({ ui=true }={}){
    if(INDEX.length) return INDEX;
    if(ui){ setStatus('Index laden …'); setProgress(0.03); }
    const rawURL = mw.util.getUrl(CFG.indexTitle,{ action:'raw', ctype:'application/json' });
    const res = await fetch(rawURL,{ cache:'reload' });
    if(!res.ok) throw new Error('Index nicht ladbar: '+res.status);
    const json = await res.json();
    if(!Array.isArray(json)) throw new Error('Index ist keine Array-JSON');
    INDEX = json;
    INDEX_EMB = INDEX.map(it => (typeof it.embed==='string' && it.embed.length) ? base64ToFloat32(it.embed) : null);
    log('Index geladen:', INDEX.length, 'Einträge');
    log('Embeddings vorhanden:', INDEX_EMB.filter(v=>v&&v.length).length, '/', INDEX.length);
    if(ui) setProgress(0.06);
    return INDEX;
   }
   }


   // ========================================================================
   // --------- Transformers (lokal) ----------
  //  CLIP LADEN (ES MODULE via dynamic import) <<<<<< FIX: feature-extraction
   let _visionLoadPromise=null;
  // ========================================================================
   async function ensureClipVision(){
   let _clipModulePromise = null;
     if(_visionLoadPromise) return _visionLoadPromise;
   async function ensureClipExtractor(){
 
     if (_clipModulePromise) return _clipModulePromise;
    setStatus('Modell laden …'); setProgress(0.08);
 
    _visionLoadPromise = (async()=>{
      const mod = await import(/* webpackIgnore: true */ CFG.transformersURL);


    // feste Version für Stabilität
      // Nur lokal laden
    const ESM_URL = 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0';
      mod.env.allowLocalModels = true;
      mod.env.allowRemoteModels = false;
      mod.env.localModelPath  = CFG.localModelPath;


    setStatus('Modell laden …');
      // WASM-Runtime (ort-wasm-simd.wasm) von transformers-CDN
    setProgress(0.05);
      mod.env.backends = mod.env.backends || {};
      mod.env.backends.onnx = mod.env.backends.onnx || {};
      mod.env.backends.onnx.wasm = mod.env.backends.onnx.wasm || {};
      mod.env.backends.onnx.wasm.wasmPaths =
        'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0/dist/';


    _clipModulePromise = (async () => {
       const [processor, model] = await Promise.all([
       const mod = await import(/* webpackIgnore: true */ ESM_URL);
        mod.AutoProcessor.from_pretrained(CFG.modelId),
      // Optionale Feinheiten:
        mod.CLIPVisionModelWithProjection.from_pretrained(CFG.modelId, { quantized: true })
      // mod.env.allowLocalModels = false;
       ]);
      // mod.env.allowRemoteModels = true;
       // mod.env.backends.onnx.wasm.numThreads = 1; // bei schwachen Geräten


       // WICHTIG: Task ist "feature-extraction"
       let backend='unknown';
       const pipe = await mod.pipeline(
       try { backend = model?.session?.executionProvider || backend; } catch(_){}
        'feature-extraction',
      log('CLIP ready (vision, local):', model?.constructor?.name || 'unknown', '| Backend:', backend);
        'Xenova/clip-vit-base-patch32'
 
      );
       return { mod, processor, model };
       return { mod, pipe };
     })();
     })();


     return _clipModulePromise;
     return _visionLoadPromise;
   }
   }


   // ========================================================================
   // --------- Auto-Crop Heuristik ----------
   //  INDEX LADEN (mit vorab berechneten Embeddings)
   function toCanvasScaled(img, maxSide){
  // ========================================================================
    const c=document.createElement('canvas');
  function decodeEmbed(b64){
    let { width:w, height:h } = img;
     const bin = atob(b64), len = bin.length, bytes = new Uint8Array(len);
     const s = Math.min(1, maxSide / Math.max(w,h));
     for (let i=0;i<len;i++) bytes[i] = bin.charCodeAt(i);
    w = Math.round(w*s); h = Math.round(h*s);
     return new Float32Array(bytes.buffer);
     c.width=w; c.height=h;
    const g=c.getContext('2d', { willReadFrequently:true });
    g.imageSmoothingEnabled = true;
    g.drawImage(img,0,0,w,h);
     return c;
   }
   }
  function normalizeVec(v){
    let n=0; for (let i=0;i<v.length;i++) n += v[i]*v[i];
    n = Math.sqrt(n)||1;
    const out = new Float32Array(v.length);
    for (let i=0;i<v.length;i++) out[i] = v[i]/n;
    return out;
  }
  function cosine(a,b){ let s=0; for(let i=0;i<a.length;i++) s += a[i]*b[i]; return s; }


   // Pooling, falls die Pipeline 2D (Token-/Patch-Vektoren) liefert
   function autoCropCanvas(inCanvas){
  function meanPool2D(arr2d){
    const w=inCanvas.width, h=inCanvas.height;
     const rows = arr2d.length;
    const ctx=inCanvas.getContext('2d', { willReadFrequently:true });
     const dim  = (rows && arr2d[0]) ? arr2d[0].length : 0;
    const imgData=ctx.getImageData(0,0,w,h);
     const sum  = new Float32Array(dim);
     const data=imgData.data;
     for (let r=0;r<rows;r++){
 
       const row = arr2d[r];
    // Graustufen
      for (let i=0;i<dim;i++) sum[i] += row[i] || 0;
     const gray=new Uint8ClampedArray(w*h);
    for(let y=0, p=0, i=0; y<h; y++){
      for(let x=0; x<w; x++, i++, p+=4){
        const r=data[p], g=data[p+1], b=data[p+2];
        gray[i] = (0.299*r + 0.587*g + 0.114*b)|0;
      }
    }
 
    // Sobel-Kanten (Magnitude)
     const mag=new Float32Array(w*h);
    const sobelX=[-1,0,1,-2,0,2,-1,0,1];
    const sobelY=[-1,-2,-1,0,0,0,1,2,1];
     for(let y=1; y<h-1; y++){
       for(let x=1; x<w-1; x++){
        let gx=0, gy=0, k=0;
        for(let j=-1;j<=1;j++){
          for(let i=-1;i<=1;i++,k++){
            const v=gray[(y+j)*w + (x+i)];
            gx += sobelX[k]*v; gy += sobelY[k]*v;
          }
        }
        mag[y*w+x] = Math.hypot(gx,gy);
      }
     }
     }
    for (let i=0;i<dim;i++) sum[i] /= (rows || 1);
    return sum;
  }


  let ADOS_INDEX = null;
     // Schwellwert: oberes x%-Quantil
  async function loadLabelIndex(){
     const vals = Array.from(mag).sort((a,b)=>a-b);
    if (ADOS_INDEX) return ADOS_INDEX;
     const keep = CFG.edgeKeepRatio;
    setStatus('Index laden …');
     const tIdx = Math.max(0, Math.min(vals.length-1, Math.floor(vals.length*(1-keep))));
     const page = 'MediaWiki:Gadget-LabelScan-index.json'; // <- dein Index
     const thr = vals[tIdx];
     const url  = mw.util.getUrl(page, { action:'raw', ctype:'application/json', maxage:0, smaxage:0, _:Date.now() });
    const res  = await fetch(url, { cache: 'no-store' });
     const txt  = await res.text();
     let json;
    try { json = JSON.parse(txt.replace(/^\uFEFF/, '')); }
     catch(e){ console.error('[LabelScan] Index JSON fehlerhaft', e); throw e; }
    if (!Array.isArray(json) || !json.length) throw new Error('Index leer');


     ADOS_INDEX = json.map((it) => {
     // Bounding-Box der Pixel > thr
      let vec = null;
    let minX=w, minY=h, maxX=0, maxY=0, count=0;
       if (typeof it.embed === 'string'){
    for(let y=0;y<h;y++){
         try { vec = normalizeVec( decodeEmbed(it.embed) ); } catch(e){ vec = null; }
       for(let x=0;x<w;x++){
         const m=mag[y*w+x];
        if(m>thr){ count++; if(x<minX)minX=x; if(y<minY)minY=y; if(x>maxX)maxX=x; if(y>maxY)maxY=y; }
       }
       }
      return { title: it.title, thumb: it.thumb || '', vec, phash: it.phash || null };
    }
     });
 
     return ADOS_INDEX;
    if(count<50) return inCanvas; // zu wenig Signal → return original
 
    // Padding
    const pad = Math.round(CFG.cropPadding * Math.max(w,h));
    minX = Math.max(0, minX - pad);
    minY = Math.max(0, minY - pad);
    maxX = Math.min(w-1, maxX + pad);
    maxY = Math.min(h-1, maxY + pad);
 
    // Mindestgröße
    const boxW=maxX-minX+1, boxH=maxY-minY+1;
    const minLen = Math.round(CFG.cropMinRel * Math.min(w,h));
    let cx=minX, cy=minY, cw=boxW, ch=boxH;
    if(cw<minLen || ch<minLen){
      const needW = Math.max(minLen, cw);
      const needH = Math.max(minLen, ch);
      const centerX = Math.round((minX+maxX)/2);
      const centerY = Math.round((minY+maxY)/2);
      cx = Math.max(0, Math.min(w-needW, centerX - Math.floor(needW/2)));
      cy = Math.max(0, Math.min(h-needH, centerY - Math.floor(needH/2)));
      cw = needW; ch = needH;
    }
 
    const out=document.createElement('canvas');
     out.width=cw; out.height=ch;
    out.getContext('2d').drawImage(inCanvas, cx, cy, cw, ch, 0, 0, cw, ch);
     return out;
   }
   }


   // ========================================================================
   // --------- Embedding-Pipeline ---------
  //  BILD → EMBEDDING (robust gegen 1D/2D Ausgabe)
  // ========================================================================
   async function embedFileImage(file){
   async function embedFileImage(file){
     const { pipe } = await ensureClipExtractor();
     const { mod, processor, model } = await ensureClipVision();
     const url = URL.createObjectURL(file);
 
     try {
     setStatus('Bild vorbereiten …'); setProgress(0.20);
       setStatus('Bild analysieren …');
 
      setProgress(0.25);
    // 1) Bild laden
    const img = await new Promise((res,rej)=>{
      const url=URL.createObjectURL(file);
      const image=new Image();
      image.crossOrigin='anonymous';
      image.onload=()=>{ URL.revokeObjectURL(url); res(image); };
      image.onerror=e=>{ URL.revokeObjectURL(url); rej(e); };
      image.src=url;
    });
 
    // 2) Scale → Auto-Crop
    let canvas = toCanvasScaled(img, CFG.maxSide);
     if(CFG.autoCrop){
       setStatus('Auto-Crop …'); setProgress(0.30);
      canvas = autoCropCanvas(canvas);
    }
 
    // 3) Canvas → Blob → RawImage (robust für Processor)
    const blob = await new Promise(r => canvas.toBlob(r, 'image/jpeg', 0.95));
    const imageRaw = await mod.RawImage.fromBlob(blob);
 
    setStatus('Bild analysieren …'); setProgress(0.45);
 
    // 4) Processor & Model
    const inputs = await processor(imageRaw, { return_tensors: 'pt' });
    const out = await model.forward({ pixel_values: inputs.pixel_values });
 
    const vec = out?.image_embeds?.data || out?.image_embeds;
    if(!(vec instanceof Float32Array)) throw new Error('Embedding-Format unerwartet');
 
    // 5) Normieren
    let n=0; for(let i=0;i<vec.length;i++) n+=vec[i]*vec[i];
    const norm = Math.sqrt(n)||1;
    const v = new Float32Array(vec.length);
    for(let i=0;i<vec.length;i++) v[i]=vec[i]/norm;
    return v;
  }


      const out = await pipe(url);
  function cosine(a,b){ let s=0,L=Math.min(a.length,b.length); for(let i=0;i<L;i++) s+=a[i]*b[i]; return s; }
      // Mögliche Formen: { data: Float32Array } ODER { data: number[] } ODER { data: number[][] }
      let vec;
      const d = out && out.data;
      if (d instanceof Float32Array){
        vec = d;
      } else if (Array.isArray(d)){
        if (Array.isArray(d[0])) {
          // 2D -> mean pool
          vec = meanPool2D(d);
        } else {
          vec = new Float32Array(d);
        }
      } else {
        throw new Error('Unerwartetes Embedding-Format');
      }


      return normalizeVec(vec);
  // vorher: slice(0, topK) hier
     } finally {
  // jetzt: ALLE sortiert zurückgeben, damit wir danach deduplizieren können
       URL.revokeObjectURL(url);
  function rankByCosine(q){
    const s=[];
     for(let i=0;i<INDEX.length;i++){
       const v=INDEX_EMB[i];
      if(!v) continue;
      s.push({ i, score: cosine(q,v) });
     }
     }
    s.sort((a,b)=> b.score-a.score);
    return s;
   }
   }


   // ========================================================================
   // NEU: pro Titel nur bester Treffer
  //  RANKING + RENDER
   function dedupeByTitle(ranked){
  // ========================================================================
     const bestByTitle = Object.create(null);
   function rankMatches(qvec, index, topK, minScore){
     for (let k = 0; k < ranked.length; k++) {
     const scored = [];
       const hit = ranked[k];
     for (const it of index){
      const it = INDEX[hit.i];
       if (!it.vec) continue;
       const rawTitle = it && it.title ? String(it.title) : '';
       scored.push({ it, s: cosine(qvec, it.vec) });
      const key = rawTitle.trim().toLowerCase();
      if (!key) continue;
      const prev = bestByTitle[key];
      if (!prev || hit.score > prev.score) {
        bestByTitle[key] = hit;
      }
     }
     }
    scored.sort((a,b)=>b.s - a.s);
     const arr = [];
     const out = [];
     for (const key in bestByTitle) {
     for (const r of scored){
       if (Object.prototype.hasOwnProperty.call(bestByTitle, key)) {
       if (typeof minScore === 'number' && r.s < minScore) break;
        arr.push(bestByTitle[key]);
      out.push({ title: r.it.title, thumb: r.it.thumb, score: r.s });
       }
       if (out.length >= (topK||6)) break;
     }
     }
     return out;
     arr.sort(function(a,b){ return b.score - a.score; });
    return arr;
  }
 
  // --------- Score-Badges ---------
  function scoreBadge(score){
    if (CFG.showNumericScore) {
    return `<span style="font-variant-numeric:tabular-nums;color:#666">${score.toFixed(3)}</span>`;
    }
    const [hi, mid] = CFG.confidenceBands || [0.90, 0.80];
    let txt = 'niedrig', bg = '#f1f5f9', fg = '#334155';
    if (score >= hi) { txt = 'hoch';  bg = '#e6ffed'; fg = '#0a7d2c'; }
    else if (score >= mid) { txt = 'mittel'; bg = '#fff7e6'; fg = '#a45500'; }
    return `<span style="display:inline-block;padding:.12rem .45rem;border-radius:999px;background:${bg};color:${fg};font-weight:600;font-size:.85em;line-height:1">${txt}</span>`;
   }
   }


   function renderResults(items){
  // --------- Rendering (max. 3 Treffer) ---------
     const box = el.res(); if(!box) return;
// Score-Badge ausgeblendet
     box.innerHTML = '';
// <div>${scoreBadge(score)}</div>
     if (!items || !items.length){
 
       box.innerHTML = '<div class="ados-hit">Keine klaren Treffer. Bitte anderes Foto oder näher am Label versuchen.</div>';
   function renderResults(ranked){
     const box=qs('ados-scan-results');
    if(!box) return;
     box.innerHTML='';
 
     if(!ranked || !ranked.length){
       box.innerHTML='<div class="empty">Keine klaren Treffer. Bitte ein anderes Foto oder näher am Frontlabel.</div>';
       return;
       return;
     }
     }
     items.forEach(it=>{
 
      const link = mw.util.getUrl(it.title.replace(/ /g,'_'));
     // NEU: Dedupe nach Titel, DANN auf topK begrenzen
      const row  = document.createElement('div');
    const uniqueRanked = dedupeByTitle(ranked).slice(0, CFG.topK);
       row.className = 'ados-hit';
 
      row.innerHTML =
    const makeCard = (it, score) => `
        '<div style="display:flex;gap:10px;align-items:flex-start;">' +
       <div class="ados-card" style="display:grid;grid-template-columns:120px 1fr;gap:14px;align-items:center;padding:12px;border:1px solid #e6e6e6;border-radius:14px;box-shadow:0 1px 8px rgba(0,0,0,.04);">
          (it.thumb ? `<img src="${it.thumb}" alt="" style="width:64px;height:auto;border-radius:6px;">` : '') +
        ${it.thumb?`<img src="${it.thumb}" alt="" style="width:120px;height:auto;border-radius:10px;">`
          `<div><b><a href="${link}">${esc(it.title)}</a></b>` +
                  :`<div style="width:120px;height:90px;background:#f3f3f3;border-radius:10px;"></div>`}
           (typeof it.score === 'number' ? `<div class="meta">Ähnlichkeit: ${(it.score*100).toFixed(1)}%</div>` : '') +
        <div style="display:flex;flex-direction:column;gap:8px;">
           '</div>' +
          <div style="font-weight:700;font-size:1.05rem;line-height:1.2;">
         '</div>';
            <a href="${mw.util.getUrl((it.title||'').replace(/ /g,'_'))}">${mw.html.escape(it.title||'')}</a>
       box.appendChild(row);
          </div>
           <div>
            <a href="${mw.util.getUrl((it.title||'').replace(/ /g,'_'))}" class="mw-ui-button" style="display:inline-block;padding:.4rem .7rem;border-radius:8px;background:#2a4b8d;color:#fff;text-decoration:none;">Artikel öffnen</a>
           </div>
         </div>
      </div>`;
 
    const grid = document.createElement('div');
    grid.style.display='grid';
    grid.style.gridTemplateColumns='1fr';
    grid.style.gap='12px';
 
    // max. CFG.topK (=3) Karten nach Dedupe
    uniqueRanked.forEach(function(hit){
       const it = INDEX[hit.i];
      grid.innerHTML += makeCard(it, hit.score);
     });
     });
  }


  // ========================================================================
     box.appendChild(grid);
  //  INPUT / UI
  // ========================================================================
  let CURRENT_FILE = null;
  function setCurrentFile(f){
     CURRENT_FILE = f || null;
    if (CURRENT_FILE) showPreview(CURRENT_FILE);
   }
   }


   function wireDropzone(){
   // --------- UI / Flow ----------
    const drop = el.drop(); if (!drop) return;
  let BOUND=false;
    const over = (e)=>{ e.preventDefault(); drop.classList.add('is-over'); };
  function bindUI(){
    const leave= (e)=>{ e.preventDefault(); drop.classList.remove('is-over'); };
     if(BOUND) return;
    const dropH= (e)=>{
      e.preventDefault(); drop.classList.remove('is-over');
      const f = e.dataTransfer && e.dataTransfer.files && e.dataTransfer.files[0];
      if (f && f.type && f.type.startsWith('image/')) setCurrentFile(f);
     };
    drop.addEventListener('dragenter', over);
    drop.addEventListener('dragover',  over);
    drop.addEventListener('dragleave', leave);
    drop.addEventListener('drop',      dropH);
  }


  function hasUI(){
    const btnRun = qs('ados-scan-run');
     return el.run() && (el.inCam() || el.inGal()) && el.res();
     const inCam = qs('ados-scan-file-camera');
   }
    const inGal = qs('ados-scan-file-gallery');
    const btnCam = qs('ados-scan-btn-camera');
    const btnGal = qs('ados-scan-btn-gallery');
    const drop   = qs('ados-scan-drop');
    const btnReset = qs('ados-scan-reset');


  let BOUND = false;
     if(!btnRun || !inCam || !inGal) return;
  function bind(){
     if (BOUND || !hasUI()) return;


     const btnCam = el.btnCam();
    // Hilfsfunktion: wenn neues Bild gewählt → Vorschau & Ergebnisse zurücksetzen
    const btnGal = el.btnGal();
     const onNewImage = (file) => {
    const inCam  = el.inCam();
      if (!file) return;
    const inGal  = el.inGal();
      showPreview(file);
    const run    = el.run();
      resetResultsBox('Hier erscheinen Treffer.');
     const reset  = el.reset();
      setStatus('Bereit.');
      setProgress(null);
     };


     // Buttons → jeweiliges Input öffnen
     btnCam && btnCam.addEventListener('click', ()=> inCam.click());
    if (btnCam && inCam && !btnCam.dataset._b){
     btnGal && btnGal.addEventListener('click', ()=> inGal.click());
      btnCam.dataset._b = '1';
 
      btnCam.addEventListener('click', ()=> inCam.click());
    const pick = e => {
     }
       const f=e.target.files?.[0];
    if (btnGal && inGal && !btnGal.dataset._b){
       if(f) onNewImage(f);
       btnGal.dataset._b = '1';
    };
       btnGal.addEventListener('click', ()=> inGal.click());
    inCam.addEventListener('change', pick);
    }
    inGal.addEventListener('change', pick);


    // Inputs → Datei merken & Vorschau
     if(drop){
     if (inCam && !inCam.dataset._b){
       drop.addEventListener('dragover', function(ev){ ev.preventDefault(); drop.classList.add('is-over'); });
       inCam.dataset._b = '1';
      drop.addEventListener('dragleave', function(){ drop.classList.remove('is-over'); });
      inCam.addEventListener('change', function(){
       drop.addEventListener('drop', function(ev){
        if (this.files && this.files[0]) setCurrentFile(this.files[0]);
         ev.preventDefault(); drop.classList.remove('is-over');
      });
        const f = ev.dataTransfer && ev.dataTransfer.files && ev.dataTransfer.files[0];
    }
        if(f){
    if (inGal && !inGal.dataset._b){
          const dt=new DataTransfer(); dt.items.add(f);
      inGal.dataset._b = '1';
          inGal.files=dt.files;
       inGal.addEventListener('change', function(){
          onNewImage(f);
         if (this.files && this.files[0]) setCurrentFile(this.files[0]);
        }
       });
       });
     }
     }


     // Dropzone
     btnReset && btnReset.addEventListener('click', function(){
     wireDropzone();
      setStatus('Bereit.'); setProgress(null);
      const p=qs('ados-scan-preview'); if(p) p.innerHTML='<div class="note">Noch keine Vorschau.</div>';
      resetResultsBox('Hier erscheinen Treffer.');
      inCam.value=''; inGal.value='';
     });


     // Reset
     btnRun.addEventListener('click', onRunClick);
    if (reset && !reset.dataset._b){
      reset.dataset._b = '1';
      reset.addEventListener('click', ()=>{
        setCurrentFile(null);
        if (el.prev()) el.prev().innerHTML = '<div class="note">Noch keine Vorschau. Wähle ein Foto.</div>';
        if (el.inCam()) el.inCam().value = '';
        if (el.inGal()) el.inGal().value = '';
        setStatus('Bereit.'); setProgress(null);
        if (el.res()) el.res().innerHTML = '<div class="empty">Hier erscheinen passende Abfüllungen mit Link ins Wiki.</div>';
      });
    }


     // Run
     BOUND=true; log('UI gebunden.');
    if (run && !run.dataset._b){
  }
      run.dataset._b = '1';
      run.addEventListener('click', onRunClick);
    }


     BOUND = true;
  async function onRunClick(){
  }
    const btnRun = qs('ados-scan-run');
     const inCam  = qs('ados-scan-file-camera');
    const inGal  = qs('ados-scan-file-gallery');


  async function onRunClick(ev){
    try{
    ev.preventDefault();
      const file = (inCam.files && inCam.files[0]) || (inGal.files && inGal.files[0]);
    const run = el.run();
      if(!file){ alert('Bitte zuerst ein Foto auswählen.'); return; }
    const btnCam = el.btnCam();
    const btnGal = el.btnGal();


    const f = CURRENT_FILE;
      if(btnRun) btnRun.disabled = true;
    if (!f){ alert('Bitte ein Bild aufnehmen oder wählen.'); return; }


    // Parameter am Wrapper überschreibbar
      // Ergebnisse direkt leeren / „Suche läuft …“
    const wrap = el.wrap() || document.body;
      resetResultsBox('Suche läuft …');
    const TOP_K    = Number(wrap?.dataset?.topk || 6);
    const MIN_SCORE = Number(wrap?.dataset?.minscore || 0.82);


    try {
       await loadIndex({ ui:true });
       setStatus('Vorbereitung …'); setProgress(0.10);
       await ensureClipVision(); // warmup
       run.disabled = true; if(btnCam) btnCam.disabled = true; if(btnGal) btnGal.disabled = true;


      // Modul + Index laden
       const q = await embedFileImage(file);
      await ensureClipExtractor();
       const index = await loadLabelIndex();


       // Query einbetten und ranken
       setProgress(0.70);
      setStatus('Bild analysieren …'); setProgress(0.35);
       setStatus('Abgleich …');
       const qvec = await embedFileImage(f);


       setStatus('Vergleiche …'); setProgress(0.60);
       const ranked = rankByCosine(q);
       const matches = rankMatches(qvec, index, TOP_K, MIN_SCORE);
       renderResults(ranked);


       renderResults(matches);
       setStatus('Fertig.');
       setStatus(matches.length ? 'Fertig.' : 'Keine klaren Treffer – bitte ein anderes Foto versuchen.');
       setProgress(null);
     } catch (e){
     } catch(e){
       console.error('[LabelScan] Fehler', e);
       err('Fehler', e);
       setStatus('Fehler bei Erkennung/Suche.');
       setStatus('Fehler bei Erkennung.');
      resetResultsBox('Fehler bei der Erkennung – bitte ein anderes Foto versuchen.');
      setProgress(null);
     } finally {
     } finally {
      if(btnRun) btnRun.disabled = false;
    }
  }
  function init(){
    if(document.readyState==='loading'){
      document.addEventListener('DOMContentLoaded', bindUI, { once: true });
    } else {
      bindUI();
    }
    loadIndex({ ui:false }).catch(err).finally(()=>{
      setStatus('Bereit.');
      resetResultsBox('Hier erscheinen Treffer.');
       setProgress(null);
       setProgress(null);
      run.disabled = false; if(btnCam) btnCam.disabled = false; if(btnGal) btnGal.disabled = false;
    });
    }
   }
   }


   // ---------- Bind-Trigger ----------
   log('gadget file loaded');
  if (document.readyState !== 'loading') bind();
   init();
  else document.addEventListener('DOMContentLoaded', bind, { once:true });
  if (mw && mw.hook) mw.hook('wikipage.content').add(bind);
  setTimeout(bind, 250);
  setTimeout(bind, 1000);
  const mo = new MutationObserver(()=>{ if(!BOUND && hasUI()) bind(); });
   mo.observe(document.documentElement||document.body, { childList:true, subtree:true });


})();
})();

Aktuelle Version vom 1. Dezember 2025, 00:03 Uhr

/* global mw */
(() => {
  'use strict';

  const CFG = {
    // ---- Daten & Model ----
    indexTitle: (window.LabelScanConfig && window.LabelScanConfig.indexTitle) ||
                'MediaWiki:Gadget-LabelScan-index.json',
    transformersURL: 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0',
    modelId: 'Xenova/clip-vit-base-patch32',
    localModelPath: '/models',          // <<— deine Modelle liegen hier

    topK: 3,                            // <<— MAX. 3 TREFFER
    maxSide: 1280,                      // Downscale vor Auto-Crop (Performance)

    // ---- Auto-Crop ----
    autoCrop: true,
    edgeKeepRatio: 0.10,                // oberste 10% Kanten als Maske
    cropPadding: 0.08,                  // 8% Randzugabe um die Box
    cropMinRel: 0.40,                   // min. 40% der kleineren Bildkante

    // ---- Score-Badges ----
    showNumericScore: false,            // true = Zahlen zeigen, false = Badges
    confidenceBands: [0.90, 0.80],      // hoch ≥0.90, mittel ≥0.80, sonst niedrig

    // ---- Sonstiges ----
    debug: true
  };

  // --------- Helpers ----------
  const log=(...a)=>{ if(CFG.debug) console.log('[LabelScan]',...a); };
  const warn=(...a)=>{ if(CFG.debug) console.warn('[LabelScan]',...a); };
  const err=(...a)=>{ console.error('[LabelScan]',...a); };
  const qs=id=>document.getElementById(id);
  const setStatus=t=>{ const el=qs('ados-scan-status'); if(el) el.textContent=t||''; };
  const setProgress=p=>{
    const bar=qs('ados-scan-progress'); if(!bar) return;
    if(p==null){ bar.hidden=true; bar.value=0; }
    else{ bar.hidden=false; bar.value=Math.max(0,Math.min(1,p)); }
  };

  function resetResultsBox(msg){
    const r = qs('ados-scan-results');
    if (r) {
      r.innerHTML = `<div class="empty">${msg || 'Hier erscheinen Treffer.'}</div>`;
    }
  }

  function showPreview(file){
    const url=URL.createObjectURL(file);
    const prev=qs('ados-scan-preview');
    if(prev){
      prev.innerHTML=`<img alt="Vorschau" style="max-width:260px;width:100%;height:auto;border-radius:8px;display:block;margin:0 auto;" src="${url}">`;
      prev.setAttribute('aria-hidden','false');
    }
  }

  function base64ToFloat32(b64){
    const bin=atob(b64), len=bin.length;
    const buf=new ArrayBuffer(len), view=new Uint8Array(buf);
    for(let i=0;i<len;i++) view[i]=bin.charCodeAt(i);
    return new Float32Array(buf);
  }

  // --------- Index ----------
  let INDEX=[], INDEX_EMB=[];
  async function loadIndex({ ui=true }={}){
    if(INDEX.length) return INDEX;
    if(ui){ setStatus('Index laden …'); setProgress(0.03); }
    const rawURL = mw.util.getUrl(CFG.indexTitle,{ action:'raw', ctype:'application/json' });
    const res = await fetch(rawURL,{ cache:'reload' });
    if(!res.ok) throw new Error('Index nicht ladbar: '+res.status);
    const json = await res.json();
    if(!Array.isArray(json)) throw new Error('Index ist keine Array-JSON');
    INDEX = json;
    INDEX_EMB = INDEX.map(it => (typeof it.embed==='string' && it.embed.length) ? base64ToFloat32(it.embed) : null);
    log('Index geladen:', INDEX.length, 'Einträge');
    log('Embeddings vorhanden:', INDEX_EMB.filter(v=>v&&v.length).length, '/', INDEX.length);
    if(ui) setProgress(0.06);
    return INDEX;
  }

  // --------- Transformers (lokal) ----------
  let _visionLoadPromise=null;
  async function ensureClipVision(){
    if(_visionLoadPromise) return _visionLoadPromise;

    setStatus('Modell laden …'); setProgress(0.08);

    _visionLoadPromise = (async()=>{
      const mod = await import(/* webpackIgnore: true */ CFG.transformersURL);

      // Nur lokal laden
      mod.env.allowLocalModels = true;
      mod.env.allowRemoteModels = false;
      mod.env.localModelPath   = CFG.localModelPath;

      // WASM-Runtime (ort-wasm-simd.wasm) von transformers-CDN
      mod.env.backends = mod.env.backends || {};
      mod.env.backends.onnx = mod.env.backends.onnx || {};
      mod.env.backends.onnx.wasm = mod.env.backends.onnx.wasm || {};
      mod.env.backends.onnx.wasm.wasmPaths =
        'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0/dist/';

      const [processor, model] = await Promise.all([
        mod.AutoProcessor.from_pretrained(CFG.modelId),
        mod.CLIPVisionModelWithProjection.from_pretrained(CFG.modelId, { quantized: true })
      ]);

      let backend='unknown';
      try { backend = model?.session?.executionProvider || backend; } catch(_){}
      log('CLIP ready (vision, local):', model?.constructor?.name || 'unknown', '| Backend:', backend);

      return { mod, processor, model };
    })();

    return _visionLoadPromise;
  }

  // --------- Auto-Crop Heuristik ----------
  function toCanvasScaled(img, maxSide){
    const c=document.createElement('canvas');
    let { width:w, height:h } = img;
    const s = Math.min(1, maxSide / Math.max(w,h));
    w = Math.round(w*s); h = Math.round(h*s);
    c.width=w; c.height=h;
    const g=c.getContext('2d', { willReadFrequently:true });
    g.imageSmoothingEnabled = true;
    g.drawImage(img,0,0,w,h);
    return c;
  }

  function autoCropCanvas(inCanvas){
    const w=inCanvas.width, h=inCanvas.height;
    const ctx=inCanvas.getContext('2d', { willReadFrequently:true });
    const imgData=ctx.getImageData(0,0,w,h);
    const data=imgData.data;

    // Graustufen
    const gray=new Uint8ClampedArray(w*h);
    for(let y=0, p=0, i=0; y<h; y++){
      for(let x=0; x<w; x++, i++, p+=4){
        const r=data[p], g=data[p+1], b=data[p+2];
        gray[i] = (0.299*r + 0.587*g + 0.114*b)|0;
      }
    }

    // Sobel-Kanten (Magnitude)
    const mag=new Float32Array(w*h);
    const sobelX=[-1,0,1,-2,0,2,-1,0,1];
    const sobelY=[-1,-2,-1,0,0,0,1,2,1];
    for(let y=1; y<h-1; y++){
      for(let x=1; x<w-1; x++){
        let gx=0, gy=0, k=0;
        for(let j=-1;j<=1;j++){
          for(let i=-1;i<=1;i++,k++){
            const v=gray[(y+j)*w + (x+i)];
            gx += sobelX[k]*v; gy += sobelY[k]*v;
          }
        }
        mag[y*w+x] = Math.hypot(gx,gy);
      }
    }

    // Schwellwert: oberes x%-Quantil
    const vals = Array.from(mag).sort((a,b)=>a-b);
    const keep = CFG.edgeKeepRatio;
    const tIdx = Math.max(0, Math.min(vals.length-1, Math.floor(vals.length*(1-keep))));
    const thr = vals[tIdx];

    // Bounding-Box der Pixel > thr
    let minX=w, minY=h, maxX=0, maxY=0, count=0;
    for(let y=0;y<h;y++){
      for(let x=0;x<w;x++){
        const m=mag[y*w+x];
        if(m>thr){ count++; if(x<minX)minX=x; if(y<minY)minY=y; if(x>maxX)maxX=x; if(y>maxY)maxY=y; }
      }
    }

    if(count<50) return inCanvas; // zu wenig Signal → return original

    // Padding
    const pad = Math.round(CFG.cropPadding * Math.max(w,h));
    minX = Math.max(0, minX - pad);
    minY = Math.max(0, minY - pad);
    maxX = Math.min(w-1, maxX + pad);
    maxY = Math.min(h-1, maxY + pad);

    // Mindestgröße
    const boxW=maxX-minX+1, boxH=maxY-minY+1;
    const minLen = Math.round(CFG.cropMinRel * Math.min(w,h));
    let cx=minX, cy=minY, cw=boxW, ch=boxH;
    if(cw<minLen || ch<minLen){
      const needW = Math.max(minLen, cw);
      const needH = Math.max(minLen, ch);
      const centerX = Math.round((minX+maxX)/2);
      const centerY = Math.round((minY+maxY)/2);
      cx = Math.max(0, Math.min(w-needW, centerX - Math.floor(needW/2)));
      cy = Math.max(0, Math.min(h-needH, centerY - Math.floor(needH/2)));
      cw = needW; ch = needH;
    }

    const out=document.createElement('canvas');
    out.width=cw; out.height=ch;
    out.getContext('2d').drawImage(inCanvas, cx, cy, cw, ch, 0, 0, cw, ch);
    return out;
  }

  // --------- Embedding-Pipeline ---------
  async function embedFileImage(file){
    const { mod, processor, model } = await ensureClipVision();

    setStatus('Bild vorbereiten …'); setProgress(0.20);

    // 1) Bild laden
    const img = await new Promise((res,rej)=>{
      const url=URL.createObjectURL(file);
      const image=new Image();
      image.crossOrigin='anonymous';
      image.onload=()=>{ URL.revokeObjectURL(url); res(image); };
      image.onerror=e=>{ URL.revokeObjectURL(url); rej(e); };
      image.src=url;
    });

    // 2) Scale → Auto-Crop
    let canvas = toCanvasScaled(img, CFG.maxSide);
    if(CFG.autoCrop){
      setStatus('Auto-Crop …'); setProgress(0.30);
      canvas = autoCropCanvas(canvas);
    }

    // 3) Canvas → Blob → RawImage (robust für Processor)
    const blob = await new Promise(r => canvas.toBlob(r, 'image/jpeg', 0.95));
    const imageRaw = await mod.RawImage.fromBlob(blob);

    setStatus('Bild analysieren …'); setProgress(0.45);

    // 4) Processor & Model
    const inputs = await processor(imageRaw, { return_tensors: 'pt' });
    const out = await model.forward({ pixel_values: inputs.pixel_values });

    const vec = out?.image_embeds?.data || out?.image_embeds;
    if(!(vec instanceof Float32Array)) throw new Error('Embedding-Format unerwartet');

    // 5) Normieren
    let n=0; for(let i=0;i<vec.length;i++) n+=vec[i]*vec[i];
    const norm = Math.sqrt(n)||1;
    const v = new Float32Array(vec.length);
    for(let i=0;i<vec.length;i++) v[i]=vec[i]/norm;
    return v;
  }

  function cosine(a,b){ let s=0,L=Math.min(a.length,b.length); for(let i=0;i<L;i++) s+=a[i]*b[i]; return s; }

  // vorher: slice(0, topK) hier
  // jetzt: ALLE sortiert zurückgeben, damit wir danach deduplizieren können
  function rankByCosine(q){
    const s=[];
    for(let i=0;i<INDEX.length;i++){
      const v=INDEX_EMB[i];
      if(!v) continue;
      s.push({ i, score: cosine(q,v) });
    }
    s.sort((a,b)=> b.score-a.score);
    return s;
  }

  // NEU: pro Titel nur bester Treffer
  function dedupeByTitle(ranked){
    const bestByTitle = Object.create(null);
    for (let k = 0; k < ranked.length; k++) {
      const hit = ranked[k];
      const it = INDEX[hit.i];
      const rawTitle = it && it.title ? String(it.title) : '';
      const key = rawTitle.trim().toLowerCase();
      if (!key) continue;
      const prev = bestByTitle[key];
      if (!prev || hit.score > prev.score) {
        bestByTitle[key] = hit;
      }
    }
    const arr = [];
    for (const key in bestByTitle) {
      if (Object.prototype.hasOwnProperty.call(bestByTitle, key)) {
        arr.push(bestByTitle[key]);
      }
    }
    arr.sort(function(a,b){ return b.score - a.score; });
    return arr;
  }

  // --------- Score-Badges ---------
   function scoreBadge(score){
    if (CFG.showNumericScore) {
     return `<span style="font-variant-numeric:tabular-nums;color:#666">${score.toFixed(3)}</span>`;
    }
    const [hi, mid] = CFG.confidenceBands || [0.90, 0.80];
    let txt = 'niedrig', bg = '#f1f5f9', fg = '#334155';
    if (score >= hi) { txt = 'hoch';   bg = '#e6ffed'; fg = '#0a7d2c'; }
    else if (score >= mid) { txt = 'mittel'; bg = '#fff7e6'; fg = '#a45500'; }
    return `<span style="display:inline-block;padding:.12rem .45rem;border-radius:999px;background:${bg};color:${fg};font-weight:600;font-size:.85em;line-height:1">${txt}</span>`;
  }

  // --------- Rendering (max. 3 Treffer) ---------
// Score-Badge ausgeblendet
// <div>${scoreBadge(score)}</div>

  function renderResults(ranked){
    const box=qs('ados-scan-results');
    if(!box) return;
    box.innerHTML='';

    if(!ranked || !ranked.length){
      box.innerHTML='<div class="empty">Keine klaren Treffer. Bitte ein anderes Foto oder näher am Frontlabel.</div>';
      return;
    }

    // NEU: Dedupe nach Titel, DANN auf topK begrenzen
    const uniqueRanked = dedupeByTitle(ranked).slice(0, CFG.topK);

    const makeCard = (it, score) => `
      <div class="ados-card" style="display:grid;grid-template-columns:120px 1fr;gap:14px;align-items:center;padding:12px;border:1px solid #e6e6e6;border-radius:14px;box-shadow:0 1px 8px rgba(0,0,0,.04);">
        ${it.thumb?`<img src="${it.thumb}" alt="" style="width:120px;height:auto;border-radius:10px;">`
                   :`<div style="width:120px;height:90px;background:#f3f3f3;border-radius:10px;"></div>`}
        <div style="display:flex;flex-direction:column;gap:8px;">
          <div style="font-weight:700;font-size:1.05rem;line-height:1.2;">
            <a href="${mw.util.getUrl((it.title||'').replace(/ /g,'_'))}">${mw.html.escape(it.title||'')}</a>
          </div>
          <div>
            <a href="${mw.util.getUrl((it.title||'').replace(/ /g,'_'))}" class="mw-ui-button" style="display:inline-block;padding:.4rem .7rem;border-radius:8px;background:#2a4b8d;color:#fff;text-decoration:none;">Artikel öffnen</a>
          </div>
        </div>
      </div>`;

    const grid = document.createElement('div');
    grid.style.display='grid';
    grid.style.gridTemplateColumns='1fr';
    grid.style.gap='12px';

    // max. CFG.topK (=3) Karten nach Dedupe
    uniqueRanked.forEach(function(hit){
      const it = INDEX[hit.i];
      grid.innerHTML += makeCard(it, hit.score);
    });

    box.appendChild(grid);
  }

  // --------- UI / Flow ----------
  let BOUND=false;
  function bindUI(){
    if(BOUND) return;

    const btnRun = qs('ados-scan-run');
    const inCam  = qs('ados-scan-file-camera');
    const inGal  = qs('ados-scan-file-gallery');
    const btnCam = qs('ados-scan-btn-camera');
    const btnGal = qs('ados-scan-btn-gallery');
    const drop   = qs('ados-scan-drop');
    const btnReset = qs('ados-scan-reset');

    if(!btnRun || !inCam || !inGal) return;

    // Hilfsfunktion: wenn neues Bild gewählt → Vorschau & Ergebnisse zurücksetzen
    const onNewImage = (file) => {
      if (!file) return;
      showPreview(file);
      resetResultsBox('Hier erscheinen Treffer.');
      setStatus('Bereit.');
      setProgress(null);
    };

    btnCam && btnCam.addEventListener('click', ()=> inCam.click());
    btnGal && btnGal.addEventListener('click', ()=> inGal.click());

    const pick = e => {
      const f=e.target.files?.[0];
      if(f) onNewImage(f);
    };
    inCam.addEventListener('change', pick);
    inGal.addEventListener('change', pick);

    if(drop){
      drop.addEventListener('dragover', function(ev){ ev.preventDefault(); drop.classList.add('is-over'); });
      drop.addEventListener('dragleave', function(){ drop.classList.remove('is-over'); });
      drop.addEventListener('drop', function(ev){
        ev.preventDefault(); drop.classList.remove('is-over');
        const f = ev.dataTransfer && ev.dataTransfer.files && ev.dataTransfer.files[0];
        if(f){
          const dt=new DataTransfer(); dt.items.add(f);
          inGal.files=dt.files;
          onNewImage(f);
        }
      });
    }

    btnReset && btnReset.addEventListener('click', function(){
      setStatus('Bereit.'); setProgress(null);
      const p=qs('ados-scan-preview'); if(p) p.innerHTML='<div class="note">Noch keine Vorschau.</div>';
      resetResultsBox('Hier erscheinen Treffer.');
      inCam.value=''; inGal.value='';
    });

    btnRun.addEventListener('click', onRunClick);

    BOUND=true; log('UI gebunden.');
  }

  async function onRunClick(){
    const btnRun = qs('ados-scan-run');
    const inCam  = qs('ados-scan-file-camera');
    const inGal  = qs('ados-scan-file-gallery');

    try{
      const file = (inCam.files && inCam.files[0]) || (inGal.files && inGal.files[0]);
      if(!file){ alert('Bitte zuerst ein Foto auswählen.'); return; }

      if(btnRun) btnRun.disabled = true;

      // Ergebnisse direkt leeren / „Suche läuft …“
      resetResultsBox('Suche läuft …');

      await loadIndex({ ui:true });
      await ensureClipVision(); // warmup

      const q = await embedFileImage(file);

      setProgress(0.70);
      setStatus('Abgleich …');

      const ranked = rankByCosine(q);
      renderResults(ranked);

      setStatus('Fertig.');
      setProgress(null);
    } catch(e){
      err('Fehler', e);
      setStatus('Fehler bei Erkennung.');
      resetResultsBox('Fehler bei der Erkennung – bitte ein anderes Foto versuchen.');
      setProgress(null);
    } finally {
      if(btnRun) btnRun.disabled = false;
    }
  }

  function init(){
    if(document.readyState==='loading'){
      document.addEventListener('DOMContentLoaded', bindUI, { once: true });
    } else {
      bindUI();
    }
    loadIndex({ ui:false }).catch(err).finally(()=>{
      setStatus('Bereit.');
      resetResultsBox('Hier erscheinen Treffer.');
      setProgress(null);
    });
  }

  log('gadget file loaded');
  init();

})();