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


   // ------------------------------------------------------------
   const CFG = {
  // 0) Konfiguration
    // ---- Daten & Model ----
  // ------------------------------------------------------------
    indexTitle: (window.LabelScanConfig && window.LabelScanConfig.indexTitle) ||
  // Debug-Ausgabe der reinen OCR-Texte (Optional: im Browser einstellen)
                'MediaWiki:Gadget-LabelScan-index.json',
  // window.ADOS_SCAN_DEBUG = true;
    transformersURL: 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0',
    modelId: 'Xenova/clip-vit-base-patch32',
    localModelPath: '/models',          // <<— deine Modelle liegen hier


  // In diesen Kategorien sollen Treffer bevorzugt gesucht werden:
    topK: 3,                            // <<— MAX. 3 TREFFER
  const ADOS_CATEGORIES = [
     maxSide: 1280,                     // Downscale vor Auto-Crop (Performance)
    'Alle A Dream of Scotland Abfüllungen',
    'Alle A Dream of Ireland Abfüllungen',
    'Alle A Dream of... – Der Rest der Welt Abfüllungen',
     'Friendly Mr. Z Whiskytainment Abfüllungen',
    'Die Whisky Elfen Abfüllungen',
    'The Fine Art of Whisky Abfüllungen',
    'Alle Rumbastic Abfüllungen'
  ];


  // Distillery-/Marken-Tokens (wird für „hints“ verwendet)
    // ---- Auto-Crop ----
  const KNOWN_TOKENS = [
     autoCrop: true,
     'Ardbeg','Ardmore','Arran','Auchroisk','Ben Nevis','Blair Athol','Bowmore',
     edgeKeepRatio: 0.10,               // oberste 10% Kanten als Maske
     'Caol Ila','Clynelish','Glenallachie','Glenrothes','Longmorn','Lagavulin',
     cropPadding: 0.08,                 // 8% Randzugabe um die Box
     'Tullibardine','Dalmore','Benrinnes','Mortlach','Glenlivet','Inchgower',
     cropMinRel: 0.40,                   // min. 40% der kleineren Bildkante
     'Islay','Speyside','Highland','Lowland','Campbeltown','Ireland'
  ];


  // ------------------------------------------------------------
    // ---- Score-Badges ----
   // 1) UI Helpers
    showNumericScore: false,            // true = Zahlen zeigen, false = Badges
   // ------------------------------------------------------------
    confidenceBands: [0.90, 0.80],      // hoch ≥0.90, mittel ≥0.80, sonst niedrig
   function hasUI () {
 
    return !!document.getElementById('ados-scan-run') &&
    // ---- Sonstiges ----
          !!document.getElementById('ados-scan-file');
    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 setStatus (t) {
 
     var el = document.getElementById('ados-scan-status');
   function showPreview(file){
     if (el) el.textContent = t || '';
     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 setProgress (p) {
 
     var bar = document.getElementById('ados-scan-progress');
   function base64ToFloat32(b64){
     if (!bar) return;
     const bin=atob(b64), len=bin.length;
     if (p == null) { bar.hidden = true; bar.value = 0; }
     const buf=new ArrayBuffer(len), view=new Uint8Array(buf);
     else { bar.hidden = false; bar.value = Math.max(0, Math.min(1, p)); }
     for(let i=0;i<len;i++) view[i]=bin.charCodeAt(i);
     return new Float32Array(buf);
   }
   }
   function showPreview (file) {
 
     var url = URL.createObjectURL(file);
  // --------- Index ----------
     var prev = document.getElementById('ados-scan-preview');
   let INDEX=[], INDEX_EMB=[];
     if (prev) {
  async function loadIndex({ ui=true }={}){
      prev.innerHTML = '<img alt="Vorschau" style="max-width:100%;height:auto;border-radius:8px" src="' + url + '">';
    if(INDEX.length) return INDEX;
      prev.setAttribute('aria-hidden', 'false');
    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;
   }
   }
  function esc (s) { return mw.html.escape(String(s || '')); }


   // ------------------------------------------------------------
   // --------- Transformers (lokal) ----------
  // 2) Tesseract bei Bedarf laden
   let _visionLoadPromise=null;
  // ------------------------------------------------------------
   async function ensureClipVision(){
   var tesseractReady;
     if(_visionLoadPromise) return _visionLoadPromise;
   function ensureTesseract () {
 
     if (tesseractReady) return tesseractReady;
    setStatus('Modell laden …'); setProgress(0.08);
     tesseractReady = new Promise(function (resolve, reject) {
 
       if (window.Tesseract) return resolve();
     _visionLoadPromise = (async()=>{
       var s = document.createElement('script');
       const mod = await import(/* webpackIgnore: true */ CFG.transformersURL);
       s.src = 'https://cdn.jsdelivr.net/npm/tesseract.js@5/dist/tesseract.min.js';
 
       s.async = true;
      // Nur lokal laden
       s.onload = resolve;
       mod.env.allowLocalModels = true;
       s.onerror = function () {
      mod.env.allowRemoteModels = false;
        var s2 = document.createElement('script');
       mod.env.localModelPath  = CFG.localModelPath;
         s2.src = 'https://unpkg.com/tesseract.js@5/dist/tesseract.min.js';
 
        s2.async = true;
      // WASM-Runtime (ort-wasm-simd.wasm) von transformers-CDN
         s2.onload = resolve;
      mod.env.backends = mod.env.backends || {};
         s2.onerror = function () { reject(new Error('Tesseract konnte nicht geladen werden')); };
       mod.env.backends.onnx = mod.env.backends.onnx || {};
        document.head.appendChild(s2);
       mod.env.backends.onnx.wasm = mod.env.backends.onnx.wasm || {};
      };
       mod.env.backends.onnx.wasm.wasmPaths =
       document.head.appendChild(s);
         'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.15.0/dist/';
     });
 
     return tesseractReady;
      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 ----------
  // 3) Bild-Vorverarbeitung
   function toCanvasScaled(img, maxSide){
  //    - skalieren
    const c=document.createElement('canvas');
  //    - adaptives Thresholding (besser gegen Glanz/Folie)
    let { width:w, height:h } = img;
  //    - relative Crops zum Auslesen bestimmter Zonen
     const s = Math.min(1, maxSide / Math.max(w,h));
  // ------------------------------------------------------------
     w = Math.round(w*s); h = Math.round(h*s);
   function fixCanvasOrientation(img, maxSide=2200) {
     c.width=w; c.height=h;
     const scale = Math.min(1, maxSide / Math.max(img.width, img.height));
     const g=c.getContext('2d', { willReadFrequently:true });
     const w = Math.round(img.width * scale);
     g.imageSmoothingEnabled = true;
    const h = Math.round(img.height * scale);
     g.drawImage(img,0,0,w,h);
    const c = document.createElement('canvas');
     c.width = w; c.height = h;
     const ctx = c.getContext('2d');
     ctx.imageSmoothingEnabled = true;
     ctx.drawImage(img, 0, 0, w, h);
     return c;
     return c;
   }
   }
  function cropRel(srcCanvas, x, y, w, h) {
    const sw = srcCanvas.width, sh = srcCanvas.height;
    const cx = Math.round(x * sw), cy = Math.round(y * sh);
    const cw = Math.round(w * sw), ch = Math.round(h * sh);
    const out = document.createElement('canvas');
    out.width = cw; out.height = ch;
    const octx = out.getContext('2d');
    octx.drawImage(srcCanvas, cx, cy, cw, ch, 0, 0, cw, ch);
    return out;
  }
  function adaptiveThreshold(srcCanvas) {
    const w = srcCanvas.width, h = srcCanvas.height;
    const out = document.createElement('canvas'); out.width = w; out.height = h;
    const sctx = srcCanvas.getContext('2d');
    const octx = out.getContext('2d');
    const id = sctx.getImageData(0,0,w,h);
    const d = id.data;


     const gray = new Uint8ClampedArray(w*h);
  function autoCropCanvas(inCanvas){
     for (let i=0,j=0;i<d.length;i+=4,++j) {
    const w=inCanvas.width, h=inCanvas.height;
      gray[j] = (0.2126*d[i] + 0.7152*d[i+1] + 0.0722*d[i+2])|0;
    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;
      }
     }
     }
     const S = new Uint32Array((w+1)*(h+1));
 
     for (let y=1;y<=h;y++) {
    // Sobel-Kanten (Magnitude)
       let rowsum = 0;
     const mag=new Float32Array(w*h);
      for (let x=1;x<=w;x++) {
    const sobelX=[-1,0,1,-2,0,2,-1,0,1];
        const v = gray[(y-1)*w + (x-1)];
    const sobelY=[-1,-2,-1,0,0,0,1,2,1];
        rowsum += v;
     for(let y=1; y<h-1; y++){
         S[y*(w+1)+x] = S[(y-1)*(w+1)+x] + rowsum;
       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 win = Math.max(15, Math.round(Math.min(w,h)/24));
    const outD = octx.createImageData(w,h); const od = outD.data;
    const C = 7;


     for (let y=0;y<h;y++) {
     // Schwellwert: oberes x%-Quantil
      const y0 = Math.max(0, y - win), y1 = Math.min(h-1, y + win);
    const vals = Array.from(mag).sort((a,b)=>a-b);
      for (let x=0;x<w;x++) {
    const keep = CFG.edgeKeepRatio;
        const x0 = Math.max(0, x - win), x1 = Math.min(w-1, x + win);
    const tIdx = Math.max(0, Math.min(vals.length-1, Math.floor(vals.length*(1-keep))));
        const A = S[y0*(w+1)+x0];
    const thr = vals[tIdx];
        const B = S[(y1+1)*(w+1)+x0];
 
        const Cc= S[y0*(w+1)+(x1+1)];
    // Bounding-Box der Pixel > thr
        const Dd= S[(y1+1)*(w+1)+(x1+1)];
    let minX=w, minY=h, maxX=0, maxY=0, count=0;
        const area = (x1-x0+1)*(y1-y0+1);
    for(let y=0;y<h;y++){
        const mean = ((Dd + A - B - Cc) / area);
      for(let x=0;x<w;x++){
         const g = gray[y*w + x];
         const m=mag[y*w+x];
         const pix = g < (mean - C) ? 0 : 255;
         if(m>thr){ count++; if(x<minX)minX=x; if(y<minY)minY=y; if(x>maxX)maxX=x; if(y>maxY)maxY=y; }
        const k = (y*w + x)*4;
        od[k]=od[k+1]=od[k+2]=pix; od[k+3]=255;
       }
       }
     }
     }
     octx.putImageData(outD,0,0);
 
     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;
     return out;
   }
   }
   async function preprocessImage(file) {
 
     const img = await new Promise((res, rej) => {
  // --------- Embedding-Pipeline ---------
       const o = new Image();
   async function embedFileImage(file){
       o.onload = () => res(o);
    const { mod, processor, model } = await ensureClipVision();
       o.onerror = rej;
 
       o.src = URL.createObjectURL(file);
    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;
     });
     });
    const base = fixCanvasOrientation(img, 2200);
    const bin  = adaptiveThreshold(base);
    return { base, bin };
  }


  // ------------------------------------------------------------
    // 2) Scale → Auto-Crop
  // 4) OCR (Mehrzonen, Whitelists)
    let canvas = toCanvasScaled(img, CFG.maxSide);
  // ------------------------------------------------------------
    if(CFG.autoCrop){
  async function runOCR(file) {
      setStatus('Auto-Crop …'); setProgress(0.30);
     await ensureTesseract();
      canvas = autoCropCanvas(canvas);
     setProgress(0);
    }
     const { base, bin } = await preprocessImage(file);
 
    // 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');


     const zones = [
     // 5) Normieren
      { name:'header',  crop:[0.00,0.00,1.00,0.28],  psm:6, whitelist:'ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 -&.,’\'' },
    let n=0; for(let i=0;i<vec.length;i++) n+=vec[i]*vec[i];
      { name:'body',    crop:[0.00,0.28,1.00,0.52],  psm:6, whitelist:null },
    const norm = Math.sqrt(n)||1;
      { name:'footer',  crop:[0.00,0.80,1.00,0.20],  psm:6, whitelist:'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789 %°.,-’\'' },
    const v = new Float32Array(vec.length);
     ];
    for(let i=0;i<vec.length;i++) v[i]=vec[i]/norm;
     return v;
  }


    const texts = [];
  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; }
    let step = 0, total = zones.length*2;


     for (const z of zones) {
  // vorher: slice(0, topK) hier
       const cropBin  = cropRel(bin,  ...z.crop);
  // jetzt: ALLE sortiert zurückgeben, damit wir danach deduplizieren können
       const cropBase = cropRel(base, ...z.crop);
  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;
  }


      async function pass(canvas) {
  // NEU: pro Titel nur bester Treffer
        const opts = { tessedit_pageseg_mode: z.psm, preserve_interword_spaces: 1 };
  function dedupeByTitle(ranked){
        if (z.whitelist) opts.tessedit_char_whitelist = z.whitelist;
    const bestByTitle = Object.create(null);
        const out = await Tesseract.recognize(canvas, 'deu+eng', {
    for (let k = 0; k < ranked.length; k++) {
          logger: m => { if(m.status==='recognizing text') setProgress((step + m.progress)/total); }
      const hit = ranked[k];
        , ...opts });
      const it = INDEX[hit.i];
         step += 1;
      const rawTitle = it && it.title ? String(it.title) : '';
        return out.data?.text || '';
      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;
  }


      const t1 = await pass(cropBin);
  // --------- Score-Badges ---------
      const t2 = await pass(cropBase);
  function scoreBadge(score){
      texts.push(t1, t2);
    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>`;
  }


    setProgress(null);
  // --------- Rendering (max. 3 Treffer) ---------
    const full = texts.join('\n');
// Score-Badge ausgeblendet
// <div>${scoreBadge(score)}</div>


    // Optionales Debug auf der Seite
  function renderResults(ranked){
    try {
    const box=qs('ados-scan-results');
      if (window.ADOS_SCAN_DEBUG) {
    if(!box) return;
        const box = document.getElementById('ados-scan-ocr');
    box.innerHTML='';
        if (box) box.textContent = full;
      }
    } catch (e) {}


     return full;
     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
  // 5) Hints extrahieren (mit Normalisierung & Fuzzy-Fixes)
     const uniqueRanked = dedupeByTitle(ranked).slice(0, CFG.topK);
  // ------------------------------------------------------------
  function extractHints (text) {
     const raw = String(text || '').replace(/\s+/g, ' ').trim();


     // Aggressive Normalisierung
     const makeCard = (it, score) => `
    let norm = raw
      <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);">
      .replace(/[“”„‟]/g,'"')
        ${it.thumb?`<img src="${it.thumb}" alt="" style="width:120px;height:auto;border-radius:10px;">`
      .replace(/[’‘´`]/g,"'")
                  :`<div style="width:120px;height:90px;background:#f3f3f3;border-radius:10px;"></div>`}
      .replace(/[|]/g,'I')
        <div style="display:flex;flex-direction:column;gap:8px;">
      .replace(/[\u2010-\u2015]/g,'-')
          <div style="font-weight:700;font-size:1.05rem;line-height:1.2;">
      .replace(/\s+/g,' ')
            <a href="${mw.util.getUrl((it.title||'').replace(/ /g,'_'))}">${mw.html.escape(it.title||'')}</a>
       .trim();
          </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>`;


    // Häufige Fixes
     const grid = document.createElement('div');
     const fixes = [
    grid.style.display='grid';
      [/T[\s]*A[\s]*S[\s]*T[\s]*E[\s]*F[\s]*U[\s]*L[\s]*8/i, 'The Tasteful 8'],
    grid.style.gridTemplateColumns='1fr';
      [/HEROE?S?\s+OF\s+CHILDHOOD/i, 'Heroes of Childhood'],
     grid.style.gap='12px';
      [/IR(E|I)LAND/i, 'Ireland'],
      [/O?LOROSO/i, 'Oloroso'],
      [/PX/i, 'PX'],
      [/1ST\s*FILL/i, '1st Fill'],
      [/\b([12][0-9])\s*(?:Y(?:EARS?)?|YO|JAHRE?)\b/ig, (m,p)=>`${p} Years`],
    ];
     for (const [re, rep] of fixes) norm = norm.replace(re, rep);


     // Tokens, die im Text vorkommen
     // max. CFG.topK (=3) Karten nach Dedupe
    const foundNames = [];
     uniqueRanked.forEach(function(hit){
     KNOWN_TOKENS.forEach(t => {
       const it = INDEX[hit.i];
       const re = new RegExp('\\b' + t.replace(/[.*+?^${}()|[\]\\]/g, '\\$&') + '\\b', 'i');
       grid.innerHTML += makeCard(it, hit.score);
       if (re.test(norm)) foundNames.push(t);
     });
     });


     // Serien
     box.appendChild(grid);
    if (/The Tasteful 8/i.test(norm) && !foundNames.includes('The Tasteful 8')) foundNames.push('The Tasteful 8');
  }
    if (/Heroes of Childhood/i.test(norm) && !foundNames.includes('Heroes of Childhood')) foundNames.push('Heroes of Childhood');
    if (/Ireland/i.test(norm) && !foundNames.includes('Ireland')) foundNames.push('Ireland');


    // Alter
  // --------- UI / Flow ----------
    const ages = [];
  let BOUND=false;
    let m;
  function bindUI(){
    const ageRe = /\b([1-9]\d?)\s?(?:years?|yo|jahr(?:e)?)\b/gi;
     if(BOUND) return;
     while ((m = ageRe.exec(norm)) !== null) { const n = m[1]; if (!ages.includes(n)) ages.push(n); }


     // Jahrgänge
     const btnRun = qs('ados-scan-run');
     const years = [];
     const inCam  = qs('ados-scan-file-camera');
     const yearRe = /\b(19|20)\d{2}\b/g;
     const inGal  = qs('ados-scan-file-gallery');
     while ((m = yearRe.exec(norm)) !== null) { if (!years.includes(m[0])) years.push(m[0]); }
     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');


     // ein paar markante Wörter
     if(!btnRun || !inCam || !inGal) return;
    const wordRe = /\b[A-ZÄÖÜ][A-Za-zÄÖÜäöüß\-]{3,}\b/g;
    const uniq = new Set(); let w; const words = [];
    while ((w = wordRe.exec(norm)) !== 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, raw: norm };
     // 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());
  // 6) Suche im Wiki (3 Pässe)
     btnGal && btnGal.addEventListener('click', ()=> inGal.click());
  // ------------------------------------------------------------
  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 () {
     const pick = e => {
      return ADOS_CATEGORIES.map(c => 'incategory:"' + c + '"').join(' ');
      const f=e.target.files?.[0];
    }
      if(f) onNewImage(f);
    };
    inCam.addEventListener('change', pick);
    inGal.addEventListener('change', pick);


    const pass1 = [];
     if(drop){
     if (hints.names.length) {
       drop.addEventListener('dragover', function(ev){ ev.preventDefault(); drop.classList.add('is-over'); });
       hints.names.forEach(n => {
      drop.addEventListener('dragleave', function(){ drop.classList.remove('is-over'); });
        if (hints.ages.length) hints.ages.forEach(a => pass1.push(`intitle:"${n}" intitle:${a} ${incatStr()}`));
      drop.addEventListener('drop', function(ev){
         if (hints.years.length) hints.years.forEach(y => pass1.push(`intitle:"${n}" "${y}" ${incatStr()}`));
         ev.preventDefault(); drop.classList.remove('is-over');
        pass1.push(`intitle:"${n}" ${incatStr()}`);
        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);
        }
       });
       });
     }
     }


     const key = []
     btnReset && btnReset.addEventListener('click', function(){
       .concat(hints.names.slice(0, 2), hints.ages.slice(0, 1), hints.years.slice(0, 1), hints.words.slice(0, 3))
       setStatus('Bereit.'); setProgress(null);
       .map(x => `"${x}"`).join(' ');
      const p=qs('ados-scan-preview'); if(p) p.innerHTML='<div class="note">Noch keine Vorschau.</div>';
     const pass2 = key ? [ `${key} ${incatStr()}` ] : [];
      resetResultsBox('Hier erscheinen Treffer.');
       inCam.value=''; inGal.value='';
     });


     const pass3 = [];
     btnRun.addEventListener('click', onRunClick);
    if (hints.names.length) pass3.push(hints.names[0]);
    if (!pass3.length && hints.words.length) pass3.push(hints.words[0]);


     const seen = new Set(); const out = [];
     BOUND=true; log('UI gebunden.');
  }


    async function runSr (q) {
  async function onRunClick(){
      const r = await api.get({ action: 'query', list: 'search', srsearch: q, srnamespace: ns0, srlimit: MAX, formatversion: 2 });
    const btnRun = qs('ados-scan-run');
      (r.query?.search || []).forEach(it => {
    const inCam  = qs('ados-scan-file-camera');
        const k = it.title;
    const inGal  = qs('ados-scan-file-gallery');
        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); }
     try{
    for (const q of pass2) { await runSr(q); if (out.length >= MAX) return out.slice(0, MAX); }
      const file = (inCam.files && inCam.files[0]) || (inGal.files && inGal.files[0]);
      if(!file){ alert('Bitte zuerst ein Foto auswählen.'); return; }


    for (const p of pass3) {
       if(btnRun) btnRun.disabled = true;
      const r = await api.get({ action: 'query', list: 'prefixsearch', pssearch: p, psnamespace: ns0, pslimit: MAX });
       (r.query?.prefixsearch || []).forEach(it => {
        const title = it.title || it['*'];
        const k = title;
        if (seen.has(k)) return;
        seen.add(k);
        out.push({ title, snippet: '' });
      });
      if (out.length >= MAX) break;
    }


    return out.slice(0, MAX);
      // Ergebnisse direkt leeren / „Suche läuft …“
  }
      resetResultsBox('Suche läuft …');


  // ------------------------------------------------------------
      await loadIndex({ ui:true });
  // 7) Treffer rendern
       await ensureClipVision(); // warmup
  // ------------------------------------------------------------
  function renderResults (items) {
    var box = document.getElementById('ados-scan-results');
    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.util.getUrl(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 + '">' + esc(title) + '</a></b>' +
        (snip ? '<div class="meta">' + snip + '</div>' : '');
      box.appendChild(div);
    });
  }


  // ------------------------------------------------------------
      const q = await embedFileImage(file);
  // 8) Bindings (Buttons, Dropzone, Fallbacks)
  // ------------------------------------------------------------
  var BOUND = false;
  function bind () {
    if (BOUND || !hasUI()) return;
    var runBtn = document.getElementById('ados-scan-run');
    var fileIn = document.getElementById('ados-scan-file');
    var bigBtn = document.getElementById('ados-scan-bigbtn');
    var drop  = document.getElementById('ados-scan-drop');


    if (!runBtn || !fileIn) return;
      setProgress(0.70);
    if (runBtn.dataset.bound === '1') return;
      setStatus('Abgleich …');
    runBtn.dataset.bound = '1'; BOUND = true;


    if (bigBtn) bigBtn.addEventListener('click', function () { fileIn.click(); });
      const ranked = rankByCosine(q);
    fileIn.addEventListener('change', function () {
       renderResults(ranked);
       if (this.files && this.files[0]) showPreview(this.files[0]);
    });


    // Drag&Drop
      setStatus('Fertig.');
    if (drop) {
      setProgress(null);
      ['dragenter','dragover'].forEach(ev =>
    } catch(e){
        drop.addEventListener(ev, e => { e.preventDefault(); drop.classList.add('is-over'); }));
       err('Fehler', e);
       ['dragleave','drop'].forEach(ev =>
      setStatus('Fehler bei Erkennung.');
        drop.addEventListener(ev, e => { e.preventDefault(); drop.classList.remove('is-over'); }));
       resetResultsBox('Fehler bei der Erkennung – bitte ein anderes Foto versuchen.');
       drop.addEventListener('drop', e => {
      setProgress(null);
        const f = e.dataTransfer?.files?.[0];
    } finally {
        if (f) { fileIn.files = e.dataTransfer.files; showPreview(f); }
       if(btnRun) btnRun.disabled = false;
       });
     }
     }
  }


    runBtn.addEventListener('click', async function (ev) {
  function init(){
      ev.preventDefault();
    if(document.readyState==='loading'){
      if (!(fileIn.files && fileIn.files[0])) { alert('Bitte ein Foto auswählen oder aufnehmen.'); return; }
      document.addEventListener('DOMContentLoaded', bindUI, { once: true });
      var f = fileIn.files[0];
    } else {
      try {
      bindUI();
        runBtn.disabled = true; runBtn.textContent = 'Erkenne …';
    }
        setStatus('Erkenne Label …');
    loadIndex({ ui:false }).catch(err).finally(()=>{
        var text = await runOCR(f);
      setStatus('Bereit.');
        if (window.ADOS_SCAN_DEBUG) {
       resetResultsBox('Hier erscheinen Treffer.');
          const dbg = document.getElementById('ados-scan-ocr');
      setProgress(null);
          if (dbg) dbg.textContent = text;
        }
        setStatus('Suche im Wiki …');
        var hints = extractHints(text);
        var hits = await searchWikiSmart(hints, 12);
        renderResults(hits);
        setStatus('Fertig.');
       } catch (e) {
        console.error('[LabelScan]', e);
        setStatus('Fehler bei Erkennung/Suche. Bitte erneut versuchen.');
      } finally {
        runBtn.disabled = false; runBtn.textContent = '🔍 Erkennen & suchen';
      }
     });
     });
  }


    // 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';
  }


  // initial & Fallback-Bindings
  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 });
})();
})();
Abgerufen von „https://ados-wiki.de/wiki/MediaWiki:Gadget-LabelScan.js“