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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';


   // Lädt Gadget nur, wenn der Scan-Block vorhanden ist.
   const CFG = {
   function hasUI(){
    // ---- Daten & Model ----
    return !!document.getElementById('ados-scan-run') &&
    indexTitle: (window.LabelScanConfig && window.LabelScanConfig.indexTitle) ||
          !!document.getElementById('ados-scan-file');
                '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>`;
    }
   }
   }


  // --- UI Helpers ---
  function setStatus(t){ var el = document.getElementById('ados-scan-status'); if(el) el.textContent = t || ''; }
  function setProgress(p){
    var bar = document.getElementById('ados-scan-progress');
    if(!bar) return;
    if(p == null){ bar.style.display='none'; bar.value=0; }
    else { bar.style.display=''; bar.value = Math.max(0, Math.min(1, p)); }
  }
   function showPreview(file){
   function showPreview(file){
     var url = URL.createObjectURL(file);
     const url=URL.createObjectURL(file);
     var prev = document.getElementById('ados-scan-preview');
     const prev=qs('ados-scan-preview');
     if(prev){
     if(prev){
       prev.innerHTML =
       prev.innerHTML=`<img alt="Vorschau" style="max-width:260px;width:100%;height:auto;border-radius:8px;display:block;margin:0 auto;" src="${url}">`;
        '<img alt="Vorschau" src="'+url+'">';
       prev.setAttribute('aria-hidden','false');
       prev.setAttribute('aria-hidden','false');
     }
     }
   }
   }


   // --- Tesseract nur bei Bedarf laden ---
  function base64ToFloat32(b64){
   var tesseractReady;
    const bin=atob(b64), len=bin.length;
   function ensureTesseract(){
    const buf=new ArrayBuffer(len), view=new Uint8Array(buf);
     if (tesseractReady) return tesseractReady;
    for(let i=0;i<len;i++) view[i]=bin.charCodeAt(i);
     tesseractReady = new Promise(function(resolve, reject){
    return new Float32Array(buf);
      if (window.Tesseract) return resolve();
  }
      var s = document.createElement('script');
 
      s.src = 'https://cdn.jsdelivr.net/npm/tesseract.js@5/dist/tesseract.min.js';
   // --------- Index ----------
       s.async = true;
   let INDEX=[], INDEX_EMB=[];
       s.onload = resolve;
   async function loadIndex({ ui=true }={}){
       s.onerror = function(){
     if(INDEX.length) return INDEX;
        var s2 = document.createElement('script');
     if(ui){ setStatus('Index laden …'); setProgress(0.03); }
        s2.src = 'https://unpkg.com/tesseract.js@5/dist/tesseract.min.js';
    const rawURL = mw.util.getUrl(CFG.indexTitle,{ action:'raw', ctype:'application/json' });
         s2.async = true;
    const res = await fetch(rawURL,{ cache:'reload' });
        s2.onload = resolve;
    if(!res.ok) throw new Error('Index nicht ladbar: '+res.status);
        s2.onerror = function(){ reject(new Error('Tesseract konnte nicht geladen werden')); };
    const json = await res.json();
        document.head.appendChild(s2);
    if(!Array.isArray(json)) throw new Error('Index ist keine Array-JSON');
      };
    INDEX = json;
      document.head.appendChild(s);
    INDEX_EMB = INDEX.map(it => (typeof it.embed==='string' && it.embed.length) ? base64ToFloat32(it.embed) : null);
     });
    log('Index geladen:', INDEX.length, 'Einträge');
     return tesseractReady;
    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;
   }
   }


   // --- OCR + Heuristik ---
   function autoCropCanvas(inCanvas){
  async function runOCR(file){
     const w=inCanvas.width, h=inCanvas.height;
     await ensureTesseract();
    const ctx=inCanvas.getContext('2d', { willReadFrequently:true });
     setProgress(0);
     const imgData=ctx.getImageData(0,0,w,h);
     var res = await Tesseract.recognize(file,'deu+eng',{
     const data=imgData.data;
       logger: function(m){
 
         if(m && m.status === 'recognizing text' && typeof m.progress === 'number'){
    // Graustufen
           setProgress(m.progress);
    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;
     });
     });
    setProgress(null);
    return (res && res.data && res.data.text) || '';
  }


  function extractHints(text){
    // 2) Scale → Auto-Crop
    var raw = String(text||'').replace(/\s+/g,' ').trim();
    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);


     var wordRe = new RegExp('\\b[A-ZÄÖÜ][A-Za-zÄÖÜäöüß\\-]{3,}\\b','g');
     setStatus('Bild analysieren …'); setProgress(0.45);
    var w = []; var m;
    while ((m = wordRe.exec(raw)) !== null) { if (w.indexOf(m[0]) < 0) w.push(m[0]); }
    w = w.slice(0, 6);


     var ageRe = new RegExp('\\b([1-9]\\d?)\\s?(?:years?|yo|jahr|jahre)\\b','gi');
     // 4) Processor & Model
     var ages=[]; while ((m = ageRe.exec(raw)) !== null) { var n=(m[0].match(/[1-9]\d?/)||[])[0]; if(n && ages.indexOf(n)<0) ages.push(n); }
    const inputs = await processor(imageRaw, { return_tensors: 'pt' });
     const out = await model.forward({ pixel_values: inputs.pixel_values });


     var yearRe = new RegExp('\\b(19|20)\\d{2}\\b','g');
     const vec = out?.image_embeds?.data || out?.image_embeds;
     var years=[]; while ((m = yearRe.exec(raw)) !== null) { if (years.indexOf(m[0])<0) years.push(m[0]); }
     if(!(vec instanceof Float32Array)) throw new Error('Embedding-Format unerwartet');


     return { words: w, ages: ages, years: years };
    // 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 buildSearchQuery(h){
   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; }
    var parts = [];
 
    (h.words||[]).forEach(function(w){ parts.push('"'+w+'"'); });
  // vorher: slice(0, topK) hier
    (h.ages||[]).forEach(function(a){ parts.push('"'+a+'"'); });
  // jetzt: ALLE sortiert zurückgeben, damit wir danach deduplizieren können
    (h.years||[]).forEach(function(y){ parts.push('"'+y+'"'); });
  function rankByCosine(q){
     if (!parts.length) parts.push('Whisky');
    const s=[];
     return parts.join(' ');
    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;
   }
   }


   // --- Wiki-Suche ---
   // NEU: pro Titel nur bester Treffer
   async function searchWiki(query, limit){
   function dedupeByTitle(ranked){
     await mw.loader.using('mediawiki.api');
     const bestByTitle = Object.create(null);
     var api = new mw.Api();
     for (let k = 0; k < ranked.length; k++) {
    var res = await api.get({
      const hit = ranked[k];
       action: 'query',
      const it = INDEX[hit.i];
       list: 'search',
       const rawTitle = it && it.title ? String(it.title) : '';
       srsearch: query,
      const key = rawTitle.trim().toLowerCase();
       srlimit: limit || 12,
       if (!key) continue;
       srwhat: 'text',
       const prev = bestByTitle[key];
       formatversion: 2
       if (!prev || hit.score > prev.score) {
     });
        bestByTitle[key] = hit;
     return (res.query && res.query.search) || [];
      }
    }
    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>`;
   }
   }


   function esc(s){ return mw.html.escape(String(s||'')); }
   // --------- Rendering (max. 3 Treffer) ---------
// Score-Badge ausgeblendet
// <div>${scoreBadge(score)}</div>


   function renderResults(items){
   function renderResults(ranked){
     var box = document.getElementById('ados-scan-results');
     const box=qs('ados-scan-results');
     if (!box) return;
     if(!box) return;
     box.innerHTML = '';
     box.innerHTML='';
     if (!items || !items.length){
 
       box.innerHTML = '<div class="ados-hit">Keine klaren Treffer. Bitte anderes Foto oder manuell suchen.</div>';
     if(!ranked || !ranked.length){
       box.innerHTML='<div class="empty">Keine klaren Treffer. Bitte ein anderes Foto oder näher am Frontlabel.</div>';
       return;
       return;
     }
     }
     items.slice(0,12).forEach(function(it){
 
       var title = it.title || '';
    // NEU: Dedupe nach Titel, DANN auf topK begrenzen
      var link  = mw.util.getUrl(title.replace(/ /g,'_'));
     const uniqueRanked = dedupeByTitle(ranked).slice(0, CFG.topK);
      var snip  = String(it.snippet||'').replace(/<\/?span[^>]*>/g,'').replace(/&quot;/g,'"');
 
       var div   = document.createElement('div');
    const makeCard = (it, score) => `
      div.className = 'ados-hit';
       <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);">
      div.innerHTML =
        ${it.thumb?`<img src="${it.thumb}" alt="" style="width:120px;height:auto;border-radius:10px;">`
        '<b><a href="'+link+'">'+esc(title)+'</a></b>' +
                  :`<div style="width:120px;height:90px;background:#f3f3f3;border-radius:10px;"></div>`}
        (snip ? '<div class="meta">'+snip+'</div>' : '');
        <div style="display:flex;flex-direction:column;gap:8px;">
       box.appendChild(div);
          <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);
   }
   }


   // --- Bindung ---
   // --------- UI / Flow ----------
   var BOUND = false;
   let BOUND=false;
   function bind(){
   function bindUI(){
     if (BOUND || !hasUI()) return;
     if(BOUND) return;
    var runBtn = document.getElementById('ados-scan-run');
    var fileIn = document.getElementById('ados-scan-file');
    var bigBtn = document.getElementById('ados-scan-bigbtn');


     if (!runBtn || !fileIn) 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 (runBtn.dataset.bound === '1') return;
     if(!btnRun || !inCam || !inGal) return;
    runBtn.dataset.bound = '1'; BOUND = true;


     if (bigBtn) bigBtn.addEventListener('click', function(){ fileIn.click(); });
     // Hilfsfunktion: wenn neues Bild gewählt → Vorschau & Ergebnisse zurücksetzen
     fileIn.addEventListener('change', function(){
    const onNewImage = (file) => {
       if (this.files && this.files[0]) showPreview(this.files[0]);
      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='';
     });
     });


     runBtn.addEventListener('click', async function(ev){
     btnRun.addEventListener('click', onRunClick);
      ev.preventDefault();
 
       if (!(fileIn.files && fileIn.files[0])){ alert('Bitte ein Foto auswählen oder aufnehmen.'); return; }
    BOUND=true; log('UI gebunden.');
      var f = fileIn.files[0];
  }
       try{
 
        runBtn.disabled = true; runBtn.textContent = 'Erkenne …';
  async function onRunClick(){
        setStatus('Erkenne Label …');
    const btnRun = qs('ados-scan-run');
        var text  = await runOCR(f);
    const inCam  = qs('ados-scan-file-camera');
        setStatus('Suche im Wiki …');
    const inGal  = qs('ados-scan-file-gallery');
        var hints = extractHints(text);
 
        var query = buildSearchQuery(hints);
    try{
        const hits  = await searchWikiSmart(hints, 12);
       const file = (inCam.files && inCam.files[0]) || (inGal.files && inGal.files[0]);
        renderResults(hits);
      if(!file){ alert('Bitte zuerst ein Foto auswählen.'); return; }
        setStatus('Fertig.');
 
       } catch (e){
       if(btnRun) btnRun.disabled = true;
        console.error('[LabelScan]', e);
 
        setStatus('Fehler bei Erkennung/Suche. Bitte erneut versuchen.');
      // Ergebnisse direkt leeren / „Suche läuft …“
       } finally {
      resetResultsBox('Suche läuft …');
        runBtn.disabled = false; runBtn.textContent = 'Erkennen & suchen';
 
       }
      await loadIndex({ ui:true });
    });
      await ensureClipVision(); // warmup
 
      const q = await embedFileImage(file);
 
      setProgress(0.70);
       setStatus('Abgleich …');
 
       const ranked = rankByCosine(q);
       renderResults(ranked);


    // Sicherheit gegen Overlays
      setStatus('Fertig.');
    var wrap = document.getElementById('ados-labelscan');
      setProgress(null);
     if (wrap) wrap.style.position = 'relative';
     } catch(e){
    runBtn.style.position = 'relative';
      err('Fehler', e);
    runBtn.style.zIndex = '9999';
      setStatus('Fehler bei Erkennung.');
     runBtn.style.pointerEvents = 'auto';
      resetResultsBox('Fehler bei der Erkennung – bitte ein anderes Foto versuchen.');
      setProgress(null);
     } finally {
      if(btnRun) btnRun.disabled = false;
    }
   }
   }


   // Erstbindung + Fallbacks + Observer (auch für Mobile/VE)
   function init(){
  if (document.readyState === 'loading'){
    if(document.readyState==='loading'){
    document.addEventListener('DOMContentLoaded', bind);
      document.addEventListener('DOMContentLoaded', bindUI, { once: true });
  } else {
    } else {
     bind();
      bindUI();
    }
     loadIndex({ ui:false }).catch(err).finally(()=>{
      setStatus('Bereit.');
      resetResultsBox('Hier erscheinen Treffer.');
      setProgress(null);
    });
   }
   }
  setTimeout(bind, 250);
  setTimeout(bind, 1000);


   var mo = new MutationObserver(function(){ if (!BOUND) bind(); });
   log('gadget file loaded');
   mo.observe(document.documentElement || document.body, { childList:true, subtree:true });
   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();

})();