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

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(34 dazwischenliegende Versionen desselben Benutzers werden nicht angezeigt)
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   'use strict';
   'use strict';


  // ------------------------------------------------------------
  // Konfiguration
  // ------------------------------------------------------------
   const CFG = {
   const CFG = {
     // Wo liegt die JSON mit Index (Titel, Thumb, EMBEDDING)?
     // ---- Daten & Model ----
     indexTitle: (window.LabelScanConfig && window.LabelScanConfig.indexTitle) ||
     indexTitle: (window.LabelScanConfig && window.LabelScanConfig.indexTitle) ||
                 'MediaWiki:Gadget-LabelScan-index.json',
                 'MediaWiki:Gadget-LabelScan-index.json',
    // Top-N Treffer anzeigen:
    topK: 8,
    // CLIP-Model:
     transformersURL: 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0',
     transformersURL: 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0',
     modelId: 'Xenova/clip-vit-base-patch32', // robust & kompakt (quantized)
     modelId: 'Xenova/clip-vit-base-patch32',
     // Max-Seitenkante beim Downscaling (Speed/Qualität):
    localModelPath: '/models',          // <<— deine Modelle liegen hier
     maxSide: 1024,
 
     // Logging:
    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
     debug: true
   };
   };


   function log(...args) { if (CFG.debug) console.log('[LabelScan]', ...args); }
   // --------- Helpers ----------
   function warn(...args){ if (CFG.debug) console.warn('[LabelScan]', ...args); }
  const log=(...a)=>{ if(CFG.debug) console.log('[LabelScan]',...a); };
   function err(...args) { console.error('[LabelScan]', ...args); }
   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){
  // UI Helpers
    const r = qs('ados-scan-results');
  // ------------------------------------------------------------
    if (r) {
   function qs(id) { return document.getElementById(id); }
      r.innerHTML = `<div class="empty">${msg || 'Hier erscheinen Treffer.'}</div>`;
  function setStatus(txt) { const el = qs('ados-scan-status'); if (el) el.textContent = txt || ''; }
     }
  function 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 showPreview(file) {
 
     const url = URL.createObjectURL(file);
   function showPreview(file){
     const prev = qs('ados-scan-preview');
     const url=URL.createObjectURL(file);
     if (prev) {
     const prev=qs('ados-scan-preview');
       prev.innerHTML = '<img alt="Vorschau" style="max-width:100%;height:auto;border-radius:8px;" src="'+url+'">';
     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');
       prev.setAttribute('aria-hidden','false');
     }
     }
   }
   }


   // ------------------------------------------------------------
   function base64ToFloat32(b64){
  // Index laden (JSON: Titel, Thumb, embed(Base64 Float32))
    const bin=atob(b64), len=bin.length;
  // ------------------------------------------------------------
    const buf=new ArrayBuffer(len), view=new Uint8Array(buf);
  let INDEX = [];
    for(let i=0;i<len;i++) view[i]=bin.charCodeAt(i);
   let INDEX_EMB = []; // Array<Float32Array>
    return new Float32Array(buf);
   }


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


   // Base64 -> Float32Array
   // --------- Transformers (lokal) ----------
   function base64ToFloat32(b64) {
  let _visionLoadPromise=null;
     const bin = atob(b64);
   async function ensureClipVision(){
     const len = bin.length;
     if(_visionLoadPromise) return _visionLoadPromise;
     const buf = new ArrayBuffer(len);
 
    const view = new Uint8Array(buf);
     setStatus('Modell laden …'); setProgress(0.08);
    for (let i=0;i<len;i++) view[i] = bin.charCodeAt(i);
 
    return new Float32Array(buf);
     _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
// CLIP: Feature-Extraction (nur Bild, ohne Tokenizer)
      mod.env.backends = mod.env.backends || {};
// ------------------------------------------------------------
      mod.env.backends.onnx = mod.env.backends.onnx || {};
let _clipModulePromise = null;
      mod.env.backends.onnx.wasm = mod.env.backends.onnx.wasm || {};
async function ensureClipExtractor() {
      mod.env.backends.onnx.wasm.wasmPaths =
  if (_clipModulePromise) return _clipModulePromise;
        'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0/dist/';


  setStatus('Modell laden …');
      const [processor, model] = await Promise.all([
  setProgress(0.08);
        mod.AutoProcessor.from_pretrained(CFG.modelId),
        mod.CLIPVisionModelWithProjection.from_pretrained(CFG.modelId, { quantized: true })
      ]);


  _clipModulePromise = (async () => {
      let backend='unknown';
    const ESM_URL = CFG.transformersURL;
      try { backend = model?.session?.executionProvider || backend; } catch(_){}
    const mod = await import(/* webpackIgnore: true */ ESM_URL);
      log('CLIP ready (vision, local):', model?.constructor?.name || 'unknown', '| Backend:', backend);


    // NUR remote laden
      return { mod, processor, model };
    mod.env.localModelPath  = null;
     })();
    mod.env.remoteModels    = true;
    mod.env.allowRemoteModels = true;
     mod.env.useBrowserCache = true;


     // Hier liegt der Trick: Wir nutzen explizit "image-feature-extraction",
     return _visionLoadPromise;
    // damit kein Tokenizer geladen wird.
  }
    const pipe = await mod.pipeline(
      'image-feature-extraction',
      CFG.modelId,
      { quantized: true }
    );


     log('CLIP ready:', pipe.model?.constructor?.name || 'unknown');
  // --------- Auto-Crop Heuristik ----------
     return { mod, pipe };
  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;
   }


   return _clipModulePromise;
   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;


  // Datei -> HTMLImageElement -> Canvas (Downscale) -> Embedding (Float32Array, normiert)
    // Graustufen
  async function embedFileImage(file) {
    const gray=new Uint8ClampedArray(w*h);
    // Datei als HTMLImageElement laden
     for(let y=0, p=0, i=0; y<h; y++){
     function loadImageFromFile(f) {
       for(let x=0; x<w; x++, i++, p+=4){
       return new Promise((resolve, reject) => {
         const r=data[p], g=data[p+1], b=data[p+2];
         const url = URL.createObjectURL(f);
         gray[i] = (0.299*r + 0.587*g + 0.114*b)|0;
        const img = new Image();
       }
        img.crossOrigin = 'anonymous';
         img.onload = () => { URL.revokeObjectURL(url); resolve(img); };
        img.onerror = (e)=> { URL.revokeObjectURL(url); reject(e); };
        img.src = url;
       });
     }
     }
     // Canvas-Downscale
 
    function toCanvas(img, maxSide) {
     // Sobel-Kanten (Magnitude)
      const c = document.createElement('canvas');
    const mag=new Float32Array(w*h);
      let { width: w, height: h } = img;
    const sobelX=[-1,0,1,-2,0,2,-1,0,1];
      const scale = Math.min(1, maxSide / Math.max(w, h));
    const sobelY=[-1,-2,-1,0,0,0,1,2,1];
       w = Math.round(w * scale);
    for(let y=1; y<h-1; y++){
      h = Math.round(h * scale);
       for(let x=1; x<w-1; x++){
      c.width = w; c.height = h;
        let gx=0, gy=0, k=0;
      const ctx = c.getContext('2d');
        for(let j=-1;j<=1;j++){
      ctx.imageSmoothingEnabled = true;
          for(let i=-1;i<=1;i++,k++){
      ctx.drawImage(img, 0, 0, w, h);
            const v=gray[(y+j)*w + (x+i)];
       return c;
            gx += sobelX[k]*v; gy += sobelY[k]*v;
          }
        }
        mag[y*w+x] = Math.hypot(gx,gy);
       }
     }
     }
    const { pipe } = await ensureClipExtractor();


     setStatus('Bild vorbereiten …');
     // Schwellwert: oberes x%-Quantil
     setProgress(0.20);
    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];


     const img = await loadImageFromFile(file);
     // Bounding-Box der Pixel > thr
    const canvas = toCanvas(img, CFG.maxSide);
    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; }
      }
    }


     setStatus('Bild analysieren …');
     if(count<50) return inCanvas; // zu wenig Signal → return original
    setProgress(0.38);


     const out = await pipe(canvas);
    // 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);


     // Ausgabe → Float32Array normieren
     // Mindestgröße
     const d = out && out.data;
     const boxW=maxX-minX+1, boxH=maxY-minY+1;
     let vec;
    const minLen = Math.round(CFG.cropMinRel * Math.min(w,h));
     if (d instanceof Float32Array) {
     let cx=minX, cy=minY, cw=boxW, ch=boxH;
       vec = d;
     if(cw<minLen || ch<minLen){
    } else if (Array.isArray(d)) {
       const needW = Math.max(minLen, cw);
       // 2D → mitteln
      const needH = Math.max(minLen, ch);
       vec = Array.isArray(d[0]) ? meanPool2D(d) : new Float32Array(d);
      const centerX = Math.round((minX+maxX)/2);
    } else {
       const centerY = Math.round((minY+maxY)/2);
       throw new Error('Embedding-Format unerwartet');
       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;
     }
     }
     return normalize(vec);
 
     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;
   }
   }


   function meanPool2D(arr2d) {
   // --------- Embedding-Pipeline ---------
     const rows = arr2d.length;
  async function embedFileImage(file){
     const dim = rows ? arr2d[0].length : 0;
     const { mod, processor, model } = await ensureClipVision();
    const sum = new Float32Array(dim);
 
    for (let r=0;r<rows;r++) {
    setStatus('Bild vorbereiten …'); setProgress(0.20);
       const row = arr2d[r];
 
      for (let i=0;i<dim;i++) sum[i] += row[i] || 0;
     // 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);
     }
     }
     for (let i=0;i<dim;i++) sum[i] /= (rows || 1);
 
     return sum;
    // 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 normalize(v) {
 
    let n=0; for (let i=0;i<v.length;i++) n += v[i]*v[i];
   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; }
    n = Math.sqrt(n) || 1;
 
     const out = new Float32Array(v.length);
  // vorher: slice(0, topK) hier
     for (let i=0;i<v.length;i++) out[i] = v[i]/n;
  // jetzt: ALLE sortiert zurückgeben, damit wir danach deduplizieren können
     return out;
  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;
   }
   }
   function cosine(a,b) {
 
     let s=0; const L=Math.min(a.length,b.length);
  // NEU: pro Titel nur bester Treffer
     for (let i=0;i<L;i++) s += a[i]*b[i];
   function dedupeByTitle(ranked){
     return s; // bei normierten Vektoren = cos
     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 ---------
  // Ranking & Rendering
  function scoreBadge(score){
  // ------------------------------------------------------------
     if (CFG.showNumericScore) {
  function rankByCosine(queryVec) {
    return `<span style="font-variant-numeric:tabular-nums;color:#666">${score.toFixed(3)}</span>`;
     const scores = [];
    for (let i=0;i<INDEX.length;i++) {
      const vec = INDEX_EMB[i];
      if (!vec) continue; // ohne Embedding nicht vergleichbar
      const score = cosine(queryVec, vec);
      scores.push({ i, score });
     }
     }
     // absteigend
     const [hi, mid] = CFG.confidenceBands || [0.90, 0.80];
     scores.sort((a,b)=> b.score - a.score);
    let txt = 'niedrig', bg = '#f1f5f9', fg = '#334155';
     return scores.slice(0, CFG.topK);
     if (score >= hi) { txt = 'hoch';  bg = '#e6ffed'; fg = '#0a7d2c'; }
    else if (score >= mid) { txt = 'mittel'; bg = '#fff7e6'; fg = '#a45500'; }
     return `<span style="display:inline-block;padding:.12rem .45rem;border-radius:999px;background:${bg};color:${fg};font-weight:600;font-size:.85em;line-height:1">${txt}</span>`;
   }
   }


   function renderResults(ranked) {
   // --------- Rendering (max. 3 Treffer) ---------
    const box = qs('ados-scan-results');
// Score-Badge ausgeblendet
    if (!box) return;
// <div>${scoreBadge(score)}</div>
    box.innerHTML = '';


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


     ranked.forEach(({ i, score }) => {
     // NEU: Dedupe nach Titel, DANN auf topK begrenzen
      const it = INDEX[i];
    const uniqueRanked = dedupeByTitle(ranked).slice(0, CFG.topK);
      const link = mw.util.getUrl((it.title || '').replace(/ /g,'_'));
 
      const thumb = it.thumb || '';
    const makeCard = (it, score) => `
      const row = document.createElement('div');
       <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);">
       row.className = 'ados-hit';
        ${it.thumb?`<img src="${it.thumb}" alt="" style="width:120px;height:auto;border-radius:10px;">`
      row.style.display = 'grid';
                  :`<div style="width:120px;height:90px;background:#f3f3f3;border-radius:10px;"></div>`}
      row.style.gridTemplateColumns = '60px 1fr auto';
         <div style="display:flex;flex-direction:column;gap:8px;">
      row.style.alignItems = 'center';
          <div style="font-weight:700;font-size:1.05rem;line-height:1.2;">
      row.style.gap = '10px';
            <a href="${mw.util.getUrl((it.title||'').replace(/ /g,'_'))}">${mw.html.escape(it.title||'')}</a>
      row.style.padding = '.35rem 0';
          </div>
      row.innerHTML =
          <div>
        (thumb ? `<div><img src="${thumb}" alt="" style="width:60px;height:auto;border-radius:6px;"></div>` : '<div></div>') +
            <a href="${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><b><a href="${link}">${escapeHtml(it.title || '')}</a></b></div>` +
          </div>
        `<div style="color:#666;font-variant-numeric:tabular-nums">${score.toFixed(3)}</div>`;
        </div>
       box.appendChild(row);
      </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);
   }
   }


   function escapeHtml(s){ return mw.html.escape(String(s||'')); }
  // --------- 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;
  // Bindings
  // ------------------------------------------------------------
  let BOUND = false;
  function bindUI() {
     if (BOUND) return;
    const btnCam  = qs('ados-scan-btn-camera');
    const btnGal  = qs('ados-scan-btn-gallery');
    const inCam   = qs('ados-scan-file-camera');
    const inGal   = qs('ados-scan-file-gallery');
    const btnRun  = qs('ados-scan-run');
    const btnReset= qs('ados-scan-reset');
    const drop    = qs('ados-scan-drop');


     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);
    };


     // Buttons triggern jeweilige Inputs
     btnCam && btnCam.addEventListener('click', ()=> inCam.click());
    if (btnCambtnCam.addEventListener('click', ()=> inCam.click());
     btnGal && btnGal.addEventListener('click', ()=> inGal.click());
     if (btnGalbtnGal.addEventListener('click', ()=> inGal.click());


     // Vorschau setzen
     const pick = e => {
    function onPick(e) {
       const f=e.target.files?.[0];
       const f = e.target.files && e.target.files[0];
       if(f) onNewImage(f);
       if (f) showPreview(f);
     };
     }
     inCam.addEventListener('change', pick);
     inCam.addEventListener('change', onPick);
     inGal.addEventListener('change', pick);
     inGal.addEventListener('change', onPick);


    // Drag & Drop nur als Zusatz
     if(drop){
     if (drop) {
       drop.addEventListener('dragover', function(ev){ ev.preventDefault(); drop.classList.add('is-over'); });
       drop.addEventListener('dragover', ev => { ev.preventDefault(); drop.classList.add('is-over'); });
       drop.addEventListener('dragleave', function(){ drop.classList.remove('is-over'); });
       drop.addEventListener('dragleave', ()=> drop.classList.remove('is-over'));
       drop.addEventListener('drop', function(ev){
       drop.addEventListener('drop', ev => {
         ev.preventDefault(); drop.classList.remove('is-over');
         ev.preventDefault(); drop.classList.remove('is-over');
         const f = ev.dataTransfer && ev.dataTransfer.files && ev.dataTransfer.files[0];
         const f = ev.dataTransfer && ev.dataTransfer.files && ev.dataTransfer.files[0];
         if (f) {
         if(f){
          // in "Gallery"-Input setzen, damit onRunClick es findet
           const dt=new DataTransfer(); dt.items.add(f);
           const dt = new DataTransfer();
           inGal.files=dt.files;
          dt.items.add(f);
           onNewImage(f);
           inGal.files = dt.files;
           showPreview(f);
         }
         }
       });
       });
     }
     }


     // Reset
     btnReset && btnReset.addEventListener('click', function(){
    if (btnReset) btnReset.addEventListener('click', () => {
      const p = qs('ados-scan-preview'); if (p) p.innerHTML = '<div class="note">Noch keine Vorschau. Wähle ein Foto.</div>';
      inCam.value = ''; inGal.value = '';
      const r = qs('ados-scan-results'); if (r) r.innerHTML = '<div class="empty">Hier erscheinen passende Abfüllungen mit Link ins Wiki.</div>';
       setStatus('Bereit.'); setProgress(null);
       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='';
     });
     });


    // Start
     btnRun.addEventListener('click', onRunClick);
     btnRun.addEventListener('click', onRunClick);


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


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


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


       btnRun.disabled = true;
       // Ergebnisse direkt leeren / „Suche läuft …“
       setStatus('Vorbereitung …');
       resetResultsBox('Suche läuft …');
      setProgress(0.02);


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


       // Mind. ein Eintrag mit Embedding vorhanden?
       const q = await embedFileImage(file);
      if (!INDEX_EMB.some(v => v && v.length)) {
        setStatus('Index enthält keine Embeddings – bitte Index mit Embeddings neu erzeugen.');
        setProgress(null);
        btnRun.disabled = false;
        return;
      }


      // Embedding für Query-Bild
      const qVec = await embedFileImage(file);    // 0.20–0.40 in ensure / embed
       setProgress(0.70);
       setProgress(0.70);
      setStatus('Abgleich …');


       // Ranking
       const ranked = rankByCosine(q);
      setStatus('Abgleich mit Datenbank …');
       renderResults(ranked);
       const ranked = rankByCosine(qVec);


      setProgress(0.95);
      renderResults(ranked);
       setStatus('Fertig.');
       setStatus('Fertig.');
       setProgress(null);
       setProgress(null);
     } catch (e) {
     } catch(e){
       err('Fehler', e);
       err('Fehler', e);
       setStatus('Fehler bei Erkennung/Abgleich. Bitte erneut versuchen.');
       setStatus('Fehler bei Erkennung.');
      resetResultsBox('Fehler bei der Erkennung – bitte ein anderes Foto versuchen.');
       setProgress(null);
       setProgress(null);
     } finally {
     } finally {
      const btnRun = qs('ados-scan-run');
       if(btnRun) btnRun.disabled = false;
       if (btnRun) btnRun.disabled = false;
     }
     }
   }
   }


  // ------------------------------------------------------------
   function init(){
  // Init
     if(document.readyState==='loading'){
  // ------------------------------------------------------------
   function init() {
    // Bind nach DOM fertig
     if (document.readyState === 'loading') {
       document.addEventListener('DOMContentLoaded', bindUI, { once: true });
       document.addEventListener('DOMContentLoaded', bindUI, { once: true });
     } else {
     } else {
       bindUI();
       bindUI();
     }
     }
 
     loadIndex({ ui:false }).catch(err).finally(()=>{
     // Fallbacks
      setStatus('Bereit.');
    setTimeout(bindUI, 250);
      resetResultsBox('Hier erscheinen Treffer.');
    setTimeout(bindUI, 1000);
      setProgress(null);
 
     });
    // (Optional) Index „warm“ laden (nicht blockierend)
     loadIndex().catch(err);
   }
   }


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


})();
})();

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();

})();