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

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


   // ========== ADOS: Kategorien & Distillery-Tokens ==========
   const CFG = {
  const ADOS_CATEGORIES = [
    // ---- Daten & Model ----
     'Alle A Dream of Scotland Abfüllungen',
     indexTitle: (window.LabelScanConfig && window.LabelScanConfig.indexTitle) ||
    'Alle A Dream of Ireland Abfüllungen',
                'MediaWiki:Gadget-LabelScan-index.json',
     'Alle A Dream of... – Der Rest der Welt Abfüllungen',
     transformersURL: 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0',
    'Friendly Mr. Z Whiskytainment Abfüllungen',
     modelId: 'Xenova/clip-vit-base-patch32',
     'Die Whisky Elfen Abfüllungen',
     localModelPath: '/models',         // <<— deine Modelle liegen hier
     'The Fine Art of Whisky Abfüllungen',
    'Alle Rumbastic Abfüllungen'
  ];


  const KNOWN_TOKENS = [
     topK: 3,                           // <<— MAX. 3 TREFFER
    'Ardbeg','Ardmore','Arran','Auchroisk','Ben Nevis','Blair Athol','Bowmore',
     maxSide: 1280,                     // Downscale vor Auto-Crop (Performance)
    'Caol Ila','Clynelish','Glenallachie','Glenrothes','Longmorn','Lagavulin',
     'Tullibardine','Dalmore','Benrinnes','Mortlach','Glenlivet','Inchgower',
     'Islay','Speyside','Highland','Lowland','Campbeltown','Ireland'
  ];


  // ========== Utility: Normalisierung & Fuzzy ==========
    // ---- Auto-Crop ----
  function norm(s){
    autoCrop: true,
     return String(s||'')
    edgeKeepRatio: 0.10,                // oberste 10% Kanten als Maske
      .toLowerCase()
    cropPadding: 0.08,                  // 8% Randzugabe um die Box
      .normalize('NFD').replace(/[\u0300-\u036f]/g,'')
    cropMinRel: 0.40,                  // min. 40% der kleineren Bildkante
      .replace(/[^a-z0-9\s\-]/g,' ')
 
      .replace(/\s+/g,' ')
    // ---- Score-Badges ----
       .trim();
    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 levenshtein(a,b){
   function showPreview(file){
     a = norm(a); b = norm(b);
     const url=URL.createObjectURL(file);
     const m = a.length, n = b.length;
     const prev=qs('ados-scan-preview');
    if (!m) return n; if (!n) return m;
     if(prev){
     const dp = new Array(n+1);
      prev.innerHTML=`<img alt="Vorschau" style="max-width:260px;width:100%;height:auto;border-radius:8px;display:block;margin:0 auto;" src="${url}">`;
    for (let j=0;j<=n;j++) dp[j]=j;
      prev.setAttribute('aria-hidden','false');
    for (let i=1;i<=m;i++){
      let prev = dp[0], tmp; dp[0]=i;
      for (let j=1;j<=n;j++){
        tmp = dp[j];
        dp[j] = (a[i-1]===b[j-1]) ? prev : 1 + Math.min(prev, dp[j-1], dp[j]);
        prev = tmp;
      }
     }
     }
    return dp[n];
   }
   }


   function tokenSet(str){ return new Set(norm(str).split(' ').filter(Boolean)); }
   function base64ToFloat32(b64){
  function overlapScore(a,b){
    const bin=atob(b64), len=bin.length;
     const A = tokenSet(a), B = tokenSet(b);
     const buf=new ArrayBuffer(len), view=new Uint8Array(buf);
     if (!A.size || !B.size) return 0;
     for(let i=0;i<len;i++) view[i]=bin.charCodeAt(i);
    let inter=0; A.forEach(t=>{ if (B.has(t)) inter++; });
     return new Float32Array(buf);
     return inter / Math.max(A.size, B.size);
   }
   }


   function escHTML (s) {
   // --------- Index ----------
     return String(s ?? '')
  let INDEX=[], INDEX_EMB=[];
      .replace(/&/g,'&amp;')
  async function loadIndex({ ui=true }={}){
      .replace(/</g,'&lt;')
     if(INDEX.length) return INDEX;
      .replace(/>/g,'&gt;')
    if(ui){ setStatus('Index laden …'); setProgress(0.03); }
      .replace(/"/g,'&quot;')
    const rawURL = mw.util.getUrl(CFG.indexTitle,{ action:'raw', ctype:'application/json' });
      .replace(/'/g,'&#39;');
    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;
   }
   }


   // ========== UI Präsenz & Helfer ==========
   // --------- Transformers (lokal) ----------
  function hasUI () {
  let _visionLoadPromise=null;
    return !!document.getElementById('ados-scan-run') &&
  async function ensureClipVision(){
          !!document.getElementById('ados-scan-file');
    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;
   }
   }
   function setStatus (t) {
 
    var el = document.getElementById('ados-scan-status');
   // --------- Auto-Crop Heuristik ----------
    if (el) el.textContent = t || '';
   function toCanvasScaled(img, maxSide){
  }
     const c=document.createElement('canvas');
   function setProgress (p) {
     let { width:w, height:h } = img;
     var bar = document.getElementById('ados-scan-progress');
     const s = Math.min(1, maxSide / Math.max(w,h));
     if (!bar) return;
    w = Math.round(w*s); h = Math.round(h*s);
    if (p == null) { bar.hidden = true; bar.value = 0; }
     c.width=w; c.height=h;
     else { bar.hidden = false; bar.value = Math.max(0, Math.min(1, p)); }
     const g=c.getContext('2d', { willReadFrequently:true });
  }
     g.imageSmoothingEnabled = true;
  function showPreview (file) {
    g.drawImage(img,0,0,w,h);
     var url = URL.createObjectURL(file);
     return c;
     var prev = document.getElementById('ados-scan-preview');
     if (prev) {
      prev.innerHTML = '<img alt="Vorschau" src="' + url + '">';
      prev.setAttribute('aria-hidden', 'false');
     }
   }
   }


  // ========== Tesseract bei Bedarf laden ==========
   function autoCropCanvas(inCanvas){
  var tesseractReady;
     const w=inCanvas.width, h=inCanvas.height;
   function ensureTesseract () {
    const ctx=inCanvas.getContext('2d', { willReadFrequently:true });
     if (tesseractReady) return tesseractReady;
    const imgData=ctx.getImageData(0,0,w,h);
    tesseractReady = new Promise(function (resolve, reject) {
     const data=imgData.data;
      if (window.Tesseract) return resolve();
      var s = document.createElement('script');
      s.src = 'https://cdn.jsdelivr.net/npm/tesseract.js@5/dist/tesseract.min.js';
      s.async = true;
      s.onload = resolve;
      s.onerror = function () {
        var s2 = document.createElement('script');
        s2.src = 'https://unpkg.com/tesseract.js@5/dist/tesseract.min.js';
        s2.async = true;
        s2.onload = resolve;
        s2.onerror = function () { reject(new Error('Tesseract konnte nicht geladen werden')); };
        document.head.appendChild(s2);
      };
      document.head.appendChild(s);
     });
    return tesseractReady;
  }


  // ========== Bild-Vorverarbeitung (Canvas) ==========
    // Graustufen
  async function preprocessImage (file) {
    const gray=new Uint8ClampedArray(w*h);
    const img = await new Promise((res, rej) => {
    for(let y=0, p=0, i=0; y<h; y++){
      const o = new Image();
      for(let x=0; x<w; x++, i++, p+=4){
      o.onload = () => res(o);
        const r=data[p], g=data[p+1], b=data[p+2];
      o.onerror = rej;
        gray[i] = (0.299*r + 0.587*g + 0.114*b)|0;
      o.src = URL.createObjectURL(file);
      }
     });
     }


     // Längste Kante auf ~1800px skalieren (besser für OCR)
     // Sobel-Kanten (Magnitude)
     const MAX = 1800;
     const mag=new Float32Array(w*h);
     const scale = (img.width > img.height) ? (MAX / img.width) : (MAX / img.height);
    const sobelX=[-1,0,1,-2,0,2,-1,0,1];
    const w = Math.round(img.width * scale);
     const sobelY=[-1,-2,-1,0,0,0,1,2,1];
    const h = Math.round(img.height * scale);
    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);
      }
    }


     const c = document.createElement('canvas');
    // Schwellwert: oberes x%-Quantil
    c.width = w; c.height = h;
     const vals = Array.from(mag).sort((a,b)=>a-b);
     const ctx = c.getContext('2d');
     const keep = CFG.edgeKeepRatio;
     ctx.imageSmoothingEnabled = true;
     const tIdx = Math.max(0, Math.min(vals.length-1, Math.floor(vals.length*(1-keep))));
    ctx.drawImage(img, 0, 0, w, h);
    const thr = vals[tIdx];


     // Graustufen + leichter Kontrastboost
     // Bounding-Box der Pixel > thr
     const id = ctx.getImageData(0, 0, w, h);
     let minX=w, minY=h, maxX=0, maxY=0, count=0;
     const d = id.data;
     for(let y=0;y<h;y++){
    for (let i = 0; i < d.length; i += 4) {
      for(let x=0;x<w;x++){
      const g = 0.2126 * d[i] + 0.7152 * d[i + 1] + 0.0722 * d[i + 2];
        const m=mag[y*w+x];
      const v = Math.max(0, Math.min(255, (g - 128) * 1.15 + 128));
        if(m>thr){ count++; if(x<minX)minX=x; if(y<minY)minY=y; if(x>maxX)maxX=x; if(y>maxY)maxY=y; }
       d[i] = d[i + 1] = d[i + 2] = v;
       }
     }
     }
    ctx.putImageData(id, 0, 0);


     return c; // Canvas an Tesseract übergeben
     if(count<50) return inCanvas; // zu wenig Signal → return original
  }


  // ========== OCR ==========
    // Padding
  async function runOCR (file) {
    const pad = Math.round(CFG.cropPadding * Math.max(w,h));
     await ensureTesseract();
    minX = Math.max(0, minX - pad);
     setProgress(0);
     minY = Math.max(0, minY - pad);
     const canvas = await preprocessImage(file);
     maxX = Math.min(w-1, maxX + pad);
     maxY = Math.min(h-1, maxY + pad);


     const res = await Tesseract.recognize(canvas, 'deu+eng', {
    // Mindestgröße
       // psm 6: „ein Block Text“ – robust für Label
    const boxW=maxX-minX+1, boxH=maxY-minY+1;
       tessedit_pageseg_mode: 6,
     const minLen = Math.round(CFG.cropMinRel * Math.min(w,h));
       preserve_interword_spaces: 1,
    let cx=minX, cy=minY, cw=boxW, ch=boxH;
       logger: function (m) {
    if(cw<minLen || ch<minLen){
        if (m && m.status === 'recognizing text' && typeof m.progress === 'number') {
       const needW = Math.max(minLen, cw);
          setProgress(m.progress);
       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;
     }


     setProgress(null);
     const out=document.createElement('canvas');
     return (res && res.data && res.data.text) || '';
     out.width=cw; out.height=ch;
    out.getContext('2d').drawImage(inCanvas, cx, cy, cw, ch, 0, 0, cw, ch);
    return out;
   }
   }


   // ========== Hinweise aus OCR extrahieren ==========
   // --------- Embedding-Pipeline ---------
   function extractHints (text) {
   async function embedFileImage(file){
     const raw = String(text || '').replace(/\s+/g, ' ').trim();
     const { mod, processor, model } = await ensureClipVision();


     // Distillery-/Marken-Token
    setStatus('Bild vorbereiten …'); setProgress(0.20);
     const foundNames = [];
 
    KNOWN_TOKENS.forEach(t => {
     // 1) Bild laden
       const re = new RegExp('\\b' + t.replace(/[.*+?^${}()|[\]\\]/g, '\\$&') + '\\b', 'i');
     const img = await new Promise((res,rej)=>{
       if (re.test(raw)) foundNames.push(t);
       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;
     });
     });


     // Alter
     // 2) Scale → Auto-Crop
     const ageRe = /\b([1-9]\d?)\s?(?:years?|yo|jahr(?:e)?)\b/gi;
     let canvas = toCanvasScaled(img, CFG.maxSide);
     const ages = []; let m;
     if(CFG.autoCrop){
    while ((m = ageRe.exec(raw)) !== null){ const n = m[1]; if (!ages.includes(n)) ages.push(n); }
      setStatus('Auto-Crop …'); setProgress(0.30);
      canvas = autoCropCanvas(canvas);
    }


     // Jahrgänge
     // 3) Canvas → Blob → RawImage (robust für Processor)
    const yearRe = /\b(19|20)\d{2}\b/g;
     const blob = await new Promise(r => canvas.toBlob(r, 'image/jpeg', 0.95));
     const years=[]; while ((m = yearRe.exec(raw)) !== null){ if(!years.includes(m[0])) years.push(m[0]); }
    const imageRaw = await mod.RawImage.fromBlob(blob);


     // ABV
     setStatus('Bild analysieren …'); setProgress(0.45);
    const abvRe = /\b(\d{2}(?:[.,]\d)?)\s?%\b/g;
    const abvs=[]; while ((m = abvRe.exec(raw)) !== null){ abvs.push(m[1].replace(',','.')); }


     // Serien-Keywords (leichtgewichtig)
     // 4) Processor & Model
     const seriesMap = [
     const inputs = await processor(imageRaw, { return_tensors: 'pt' });
      ['A Dream of Scotland','dream of scotland'],
     const out = await model.forward({ pixel_values: inputs.pixel_values });
      ['A Dream of Ireland','dream of ireland'],
      ['A Dream of... – Der Rest der Welt','rest der welt','dream of','rest of the world'],
      ['Friendly Mr. Z Whiskytainment Abfüllungen','friendly mr z','mr z'],
      ['Die Whisky Elfen Abfüllungen','whisky elfen','elfen'],
      ['The Fine Art of Whisky Abfüllungen','fine art of whisky','fine art'],
      ['Alle Rumbastic Abfüllungen','rumbastic']
    ];
     const low = norm(raw); const series=[];
    seriesMap.forEach(([label, hint])=>{
      if (low.includes(norm(hint))) series.push(label);
    });


    // „Promi-Wörter“
     const vec = out?.image_embeds?.data || out?.image_embeds;
     const wordRe = /\b[A-ZÄÖÜ][A-Za-zÄÖÜäöüß\-]{3,}\b/g;
     if(!(vec instanceof Float32Array)) throw new Error('Embedding-Format unerwartet');
     const uniq = new Set(); let w; const words=[];
    while ((w = wordRe.exec(raw)) !== null){
      const s = w[0]; if(!uniq.has(s)){ uniq.add(s); words.push(s); if(words.length>=8) break; }
    }


     return { names: foundNames, ages, years, words, abvs, series, raw };
    // 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;
   }
   }


   // ========== Smarte Wiki-Suche (3 Pässe) ==========
   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; }
  async function searchWikiSmart (hints, limit) {
    await mw.loader.using('mediawiki.api');
    const api = new mw.Api();
    const ns0 = 0;
    const MAX = limit || 12;


    function incatStr () {
  // vorher: slice(0, topK) hier
      return ADOS_CATEGORIES.map(c => 'incategory:"' + c + '"').join(' ');
  // 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;
  }


    // PASS 1: intitle-Kombis (präzise)
  // NEU: pro Titel nur bester Treffer
     const pass1 = [];
  function dedupeByTitle(ranked){
     if (hints.names.length) {
     const bestByTitle = Object.create(null);
       hints.names.forEach(n => {
     for (let k = 0; k < ranked.length; k++) {
        if (hints.ages.length) hints.ages.forEach(a => pass1.push(`intitle:"${n}" intitle:${a} ${incatStr()}`));
       const hit = ranked[k];
        if (hints.years.length) hints.years.forEach(y => pass1.push(`intitle:"${n}" "${y}" ${incatStr()}`));
      const it = INDEX[hit.i];
         pass1.push(`intitle:"${n}" ${incatStr()}`);
      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;
  }


    // PASS 2: gewichtete Volltextsuche
  // --------- Score-Badges ---------
     const key = []
  function scoreBadge(score){
      .concat(hints.names.slice(0, 2), hints.ages.slice(0, 1), hints.years.slice(0, 1), hints.words.slice(0, 3))
     if (CFG.showNumericScore) {
      .map(x => `"${x}"`).join(' ');
    return `<span style="font-variant-numeric:tabular-nums;color:#666">${score.toFixed(3)}</span>`;
     const pass2 = key ? [ `${key} ${incatStr()}` ] : [];
    }
    const [hi, mid] = CFG.confidenceBands || [0.90, 0.80];
    let txt = 'niedrig', bg = '#f1f5f9', fg = '#334155';
    if (score >= hi) { txt = 'hoch';  bg = '#e6ffed'; fg = '#0a7d2c'; }
    else if (score >= mid) { txt = 'mittel'; bg = '#fff7e6'; fg = '#a45500'; }
     return `<span style="display:inline-block;padding:.12rem .45rem;border-radius:999px;background:${bg};color:${fg};font-weight:600;font-size:.85em;line-height:1">${txt}</span>`;
  }


    // PASS 3: Prefix auf Titel
  // --------- Rendering (max. 3 Treffer) ---------
    const pass3 = [];
// Score-Badge ausgeblendet
    if (hints.names.length) pass3.push(hints.names[0]);
// <div>${scoreBadge(score)}</div>
    if (!pass3.length && hints.words.length) pass3.push(hints.words[0]);


     const seen = new Set(); const out = [];
  function renderResults(ranked){
     const box=qs('ados-scan-results');
    if(!box) return;
    box.innerHTML='';


     async function runSr (q) {
     if(!ranked || !ranked.length){
       const r = await api.get({ action: 'query', list: 'search', srsearch: q, srnamespace: ns0, srlimit: MAX, formatversion: 2 });
       box.innerHTML='<div class="empty">Keine klaren Treffer. Bitte ein anderes Foto oder näher am Frontlabel.</div>';
      (r.query?.search || []).forEach(it => {
       return;
        const k = it.title;
        if (seen.has(k)) return;
        seen.add(k);
        out.push(it);
       });
     }
     }


     for (const q of pass1) { await runSr(q); if (out.length >= MAX) return out.slice(0, MAX); }
     // NEU: Dedupe nach Titel, DANN auf topK begrenzen
     for (const q of pass2) { await runSr(q); if (out.length >= MAX) return out.slice(0, MAX); }
     const uniqueRanked = dedupeByTitle(ranked).slice(0, CFG.topK);


     // Prefix (list=prefixsearch)
     const makeCard = (it, score) => `
    for (const p of pass3) {
      <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);">
      const r = await api.get({ action: 'query', list: 'prefixsearch', pssearch: p, psnamespace: ns0, pslimit: MAX });
        ${it.thumb?`<img src="${it.thumb}" alt="" style="width:120px;height:auto;border-radius:10px;">`
      (r.query?.prefixsearch || []).forEach(it=>{
                  :`<div style="width:120px;height:90px;background:#f3f3f3;border-radius:10px;"></div>`}
        const title = it.title || it['*'];
        <div style="display:flex;flex-direction:column;gap:8px;">
         const k = title; if (seen.has(k)) return; seen.add(k);
          <div style="font-weight:700;font-size:1.05rem;line-height:1.2;">
        out.push({ title, snippet: '' });
            <a href="${mw.util.getUrl((it.title||'').replace(/ /g,'_'))}">${mw.html.escape(it.title||'')}</a>
       });
          </div>
       if (out.length >= MAX) break;
          <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);
     });


     return out.slice(0, MAX);
     box.appendChild(grid);
   }
   }


   // ========== Titel aus Kategorien + Fuzzy-Fallback ==========
   // --------- UI / Flow ----------
   async function fetchTitlesFromCategories(){
  let BOUND=false;
     await mw.loader.using('mediawiki.api');
   function bindUI(){
    const api = new mw.Api();
     if(BOUND) return;
    const titles = new Set();


     for (const cat of ADOS_CATEGORIES){
     const btnRun = qs('ados-scan-run');
      let cmcontinue = undefined;
    const inCam  = qs('ados-scan-file-camera');
      do {
    const inGal  = qs('ados-scan-file-gallery');
        const r = await api.get({
    const btnCam = qs('ados-scan-btn-camera');
          action:'query',
    const btnGal = qs('ados-scan-btn-gallery');
          list:'categorymembers',
    const drop  = qs('ados-scan-drop');
          cmtitle:'Kategorie:' + cat,
    const btnReset = qs('ados-scan-reset');
          cmtype:'page',
 
          cmlimit:'max',
     if(!btnRun || !inCam || !inGal) return;
          cmcontinue
        });
        (r.query?.categorymembers||[]).forEach(it=> titles.add(it.title));
        cmcontinue = r.continue && r.continue.cmcontinue;
      } while (cmcontinue);
    }
     return Array.from(titles);
  }


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


     // 1) Token-Overlap
     btnCam && btnCam.addEventListener('click', ()=> inCam.click());
     const base = overlapScore(title, hints.raw);
     btnGal && btnGal.addEventListener('click', ()=> inGal.click());


     // 2) Distillery-Boost
     const pick = e => {
    let nameBoost = 0;
       const f=e.target.files?.[0];
    hints.names.forEach(n=>{
       if(f) onNewImage(f);
       const t = norm(n);
    };
      const d = levenshtein(normTitle, t);
    inCam.addEventListener('change', pick);
       if (normTitle.includes(t)) nameBoost = Math.max(nameBoost, 0.35);
     inGal.addEventListener('change', pick);
      else if (d <= 4) nameBoost = Math.max(nameBoost, 0.2);
     });


     // 3) Alter/Jahr/ABV im Titel
     if(drop){
    let numBoost = 0;
       drop.addEventListener('dragover', function(ev){ ev.preventDefault(); drop.classList.add('is-over'); });
    hints.ages.forEach(a=>{
      drop.addEventListener('dragleave', function(){ drop.classList.remove('is-over'); });
       if (new RegExp('\\b'+a+'\\b').test(normTitle)) numBoost = Math.max(numBoost, 0.15);
      drop.addEventListener('drop', function(ev){
    });
        ev.preventDefault(); drop.classList.remove('is-over');
    hints.years.forEach(y=>{
        const f = ev.dataTransfer && ev.dataTransfer.files && ev.dataTransfer.files[0];
      if (normTitle.includes(y)) numBoost = Math.max(numBoost, 0.15);
        if(f){
    });
          const dt=new DataTransfer(); dt.items.add(f);
    hints.abvs.forEach(p=>{
          inGal.files=dt.files;
      if (normTitle.includes(p.replace('.',''))) numBoost = Math.max(numBoost, 0.1);
          onNewImage(f);
    });
        }
      });
    }


     // 4) Serien-Bonus
     btnReset && btnReset.addEventListener('click', function(){
    let seriesBoost = 0;
      setStatus('Bereit.'); setProgress(null);
    hints.series.forEach(s=>{
       const p=qs('ados-scan-preview'); if(p) p.innerHTML='<div class="note">Noch keine Vorschau.</div>';
       const key = norm(s.split(' Abfüllungen')[0]); // Kern
       resetResultsBox('Hier erscheinen Treffer.');
       if (normTitle.includes(key)) seriesBoost = Math.max(seriesBoost, 0.15);
      inCam.value=''; inGal.value='';
     });
     });


     // 5) leichte Strafe bei sehr kleinem Overlap
     btnRun.addEventListener('click', onRunClick);
    const penalty = base < 0.2 ? -0.05 : 0;


     return Math.max(0, base + nameBoost + numBoost + seriesBoost + penalty);
     BOUND=true; log('UI gebunden.');
   }
   }


   async function fallbackFuzzyTitles(hints, limit){
   async function onRunClick(){
     const titles = await fetchTitlesFromCategories();
     const btnRun = qs('ados-scan-run');
     const scored = titles.map(t => ({ title: t, _score: scoreTitleAgainstHints(t, hints) }));
     const inCam  = qs('ados-scan-file-camera');
    scored.sort((a,b)=> b._score - a._score);
     const inGal  = qs('ados-scan-file-gallery');
     const top = scored.slice(0, limit||12).filter(x=> x._score >= 0.15);
    return top.map(x=> ({ title: x.title, snippet: '' }));
  }


  // ========== Treffer-Rendering ==========
     try{
  function renderResults (items) {
       const file = (inCam.files && inCam.files[0]) || (inGal.files && inGal.files[0]);
    var box = document.getElementById('ados-scan-results');
       if(!file){ alert('Bitte zuerst ein Foto auswählen.'); return; }
    if (!box) return;
    box.innerHTML = '';
     if (!items || !items.length) {
       box.innerHTML = '<div class="ados-hit">Keine klaren Treffer. Bitte anderes Foto oder manuell suchen.</div>';
      return;
    }
    items.slice(0, 12).forEach(function (it) {
      var title = it.title || '';
      var link = (mw && mw.util) ? mw.util.getUrl(title.replace(/ /g, '_')) : ('/wiki/' + encodeURIComponent(title.replace(/ /g,'_')));
      var snip = String(it.snippet || '').replace(/<\/?span[^>]*>/g, '').replace(/&quot;/g, '"');
       var div = document.createElement('div');
      div.className = 'ados-hit';
      div.innerHTML =
        '<b><a href="' + link + '">' + escHTML(title) + '</a></b>' +
        (snip ? '<div class="meta">' + snip + '</div>' : '');
      box.appendChild(div);
    });
  }


  // ========== Binding ==========
      if(btnRun) btnRun.disabled = true;
  var BOUND = false;
  function bind () {
    if (BOUND || !hasUI()) return;


    var runBtn = document.getElementById('ados-scan-run');
      // Ergebnisse direkt leeren / „Suche läuft …“
    var fileIn = document.getElementById('ados-scan-file');
      resetResultsBox('Suche läuft …');
    var bigBtn = document.getElementById('ados-scan-bigbtn');
    var form  = document.getElementById('ados-scan-form');


    if (!runBtn || !fileIn) return;
      await loadIndex({ ui:true });
    if (runBtn.dataset.bound === '1') return;
      await ensureClipVision(); // warmup
    runBtn.dataset.bound = '1'; BOUND = true;


    if (bigBtn) bigBtn.addEventListener('click', function () { fileIn.click(); });
       const q = await embedFileImage(file);
    fileIn.addEventListener('change', function () {
      if (this.files && this.files[0]) showPreview(this.files[0]);
    });
    if (form) {
       form.addEventListener('submit', function(ev){
        ev.preventDefault();
        runBtn.click();
      });
    }


    runBtn.addEventListener('click', async function (ev) {
       setProgress(0.70);
      ev.preventDefault();
       setStatus('Abgleich …');
       if (!(fileIn.files && fileIn.files[0])) { alert('Bitte ein Foto auswählen oder aufnehmen.'); return; }
      var f = fileIn.files[0];
       try {
        runBtn.disabled = true; runBtn.textContent = 'Erkenne …';
        setStatus('Erkenne Label …');
        var text = await runOCR(f);


        setStatus('Suche im Wiki …');
      const ranked = rankByCosine(q);
        var hints = extractHints(text);
      renderResults(ranked);
        var hits = await searchWikiSmart(hints, 12);


        if (!hits || !hits.length) {
      setStatus('Fertig.');
          setStatus('Kein direkter Treffer versuche Fuzzy-Matching …');
      setProgress(null);
          hits = await fallbackFuzzyTitles(hints, 12);
    } 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;
    }
  }


        renderResults(hits);
  function init(){
        setStatus(hits && hits.length ? 'Fertig.' : 'Keine klaren Treffer.');
    if(document.readyState==='loading'){
       } catch (e) {
      document.addEventListener('DOMContentLoaded', bindUI, { once: true });
        console.error('[LabelScan]', e);
    } else {
        setStatus('Fehler bei Erkennung/Suche. Bitte erneut versuchen.');
       bindUI();
       } finally {
    }
        runBtn.disabled = false; runBtn.textContent = 'Erkennen & suchen';
    loadIndex({ ui:false }).catch(err).finally(()=>{
       }
      setStatus('Bereit.');
       resetResultsBox('Hier erscheinen Treffer.');
       setProgress(null);
     });
     });
  }


    // Sicherheit gegen Overlays
  log('gadget file loaded');
    var wrap = document.getElementById('ados-labelscan');
  init();
    if (wrap) wrap.style.position = 'relative';
    runBtn.style.position = 'relative';
    runBtn.style.zIndex = '9999';
    runBtn.style.pointerEvents = 'auto';
  }


  // Erstbindung + Fallbacks + Observer
  if (document.readyState === 'loading') {
    document.addEventListener('DOMContentLoaded', bind);
  } else {
    bind();
  }
  setTimeout(bind, 250);
  setTimeout(bind, 1000);
  var mo = new MutationObserver(function () { if (!BOUND) 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();

})();