diff --git "a/app_v2_entry.py" "b/app_v2_entry.py"
new file mode 100644--- /dev/null
+++ "b/app_v2_entry.py"
@@ -0,0 +1,2505 @@
+"""VNEWS v2 Entry Point - with fast bongda proxy + rewrite endpoints + multilingual TTS"""
+import sys, os
+from main import app, HEADERS, BONGDA_HEADERS, fetch_bongda_api, HL_LEAGUES
+
+try:
+    import ai_ext
+except Exception as e:
+    print(f"[WARN] ai_ext import failed: {e}")
+
+try:
+    import ai_patch
+except Exception as e:
+    print(f"[WARN] ai_patch import failed: {e}")
+
+try:
+    import ai_short_v2  # Short AI v2: TikTok music, uploaded audio/video/img, recreate from slides
+except Exception as e:
+    print(f"[WARN] ai_short_v2 import failed: {e}")
+
+from fastapi.responses import HTMLResponse, JSONResponse, FileResponse, Response
+from fastapi.staticfiles import StaticFiles
+from starlette.routing import Mount
+from fastapi import Query, Request, UploadFile, File, Form
+import requests as req
+from bs4 import BeautifulSoup
+import re, html as html_lib, json, threading, time, uuid
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from urllib.parse import quote
+import asyncio
+
+HL_LEAGUES['friendly'] = {"path": "giai-khac/friendly", "name": "Giao hữu", "emoji": "🤝"}
+
+STATIC_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'static')
+SPACE = "https://bep40-vnews.hf.space"  # SEO URL base for share links
+app.router.routes=[r for r in app.router.routes if not(getattr(r,'path',None)=='/' and hasattr(r,'methods') and 'GET' in getattr(r,'methods',set()))]
+app.routes[:]=[r for r in app.routes if not isinstance(r, Mount)]
+app.router.routes=[r for r in app.router.routes if not isinstance(r, Mount)]
+
+def _clean(s): return re.sub(r"\s+"," ",html_lib.unescape(str(s or""))).strip()
+
+def _ensure_sentence_complete(text):
+    """Ensure text ends with complete sentence (ends with . ! or ?). Trim if cut mid-sentence."""
+    text = _clean(text)
+    if not text:
+        return text
+    # Find last sentence ending
+    for end_char in ['.', '!', '?']:
+        last_pos = text.rfind(end_char)
+        if last_pos > len(text) * 0.5:  # Keep if ending is in latter half
+            return text[:last_pos + 1].strip()
+    # If no ending found, try to find last complete sentence
+    sentences = re.split(r'(?<=[.!?])\s+', text)
+    complete = [s.strip() for s in sentences if s.strip() and len(s.strip()) > 20]
+    if complete[:-1]:  # Return all but last incomplete
+        return ' '.join(complete[:-1])
+    return text[:150] + '.' if len(text) > 150 else text
+
+# Cache for match details (5 min TTL)
+_match_cache = {}
+
+# === FAST BONGDA PROXY ENDPOINT ===
+def _get_match_detail(event_id, slug=None):
+    headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36", "Accept": "text/html", "Referer": "https://bongda.com.vn/"}
+    if slug:
+        url = f"https://bongda.com.vn/tran-dau/{event_id}/centre/{slug}"
+    else:
+        url = f"https://bongda.com.vn/tran-dau/{event_id}"
+    resp = req.get(url, headers=headers, timeout=15, allow_redirects=True)
+    if resp.status_code != 200:
+        return None
+    soup = BeautifulSoup(resp.text, 'html.parser')
+    result = {"event_id": event_id, "found": False, "sections": []}
+    info = {}
+    tel = soup.select_one('.teams')
+    if tel:
+        he = tel.select_one('.team.home')
+        if he:
+            p_tags = [p for p in he.select('p') if not p.get('class') or 'logo' not in p.get('class', [])]
+            if p_tags: info['home_team'] = _clean(p_tags[0].get_text())
+            lo = he.select_one('img')
+            if lo: info['home_logo'] = lo.get('src', '')
+        ae = tel.select_one('.team.away')
+        if ae:
+            p_tags = ae.select('p')
+            team_ps = [p for p in p_tags if not p.get('class') or 'logo' not in p.get('class', [])]
+            if team_ps: info['away_team'] = _clean(team_ps[-1].get_text())
+            lo = ae.select_one('img')
+            if lo: info['away_logo'] = lo.get('src', '')
+        sc = tel.select_one('.score')
+        if sc:
+            parts = [_clean(p.get_text()) for p in sc.select('p')]
+            if len(parts) >= 2: info['score'] = f"{parts[0]} - {parts[1]}"
+            lb = sc.select_one('.label')
+            if lb: info['status_label'] = _clean(lb.get_text())
+    if info.get('home_team') and info.get('away_team'):
+        result['info'] = info
+        result['found'] = True
+        result['sections'].append('info')
+    events = []
+    for ev in soup.select('.events .period .event'):
+        ev_cls = ' '.join(ev.get('class', []))
+        ev_data = {'team': 'home' if 'home' in ev_cls else 'away', 'period': '', 'type': 'unknown', 'time': '', 'players': ''}
+        parent = ev.parent
+        if parent:
+            h2 = parent.find('h2')
+            if h2: ev_data['period'] = _clean(h2.get_text())
+        if ev.select_one('[class*="goal"]'): ev_data['type'] = 'goal'
+        elif ev.select_one('[class*="redcard"]'): ev_data['type'] = 'redcard'
+        elif ev.select_one('[class*="yellowcard"]'): ev_data['type'] = 'yellowcard'
+        elif ev.select_one('[class*="substitution"]'): ev_data['type'] = 'substitution'
+        players_el = ev.select_one('.players')
+        if players_el:
+            pl_text = _clean(players_el.get_text(' ', strip=True))
+            m = re.match(r"(\d+)'(.*)", pl_text)
+            if m:
+                ev_data['time'] = f"{m.group(1)}'"
+                ev_data['players'] = m.group(2)
+            else:
+                ev_data['players'] = pl_text
+        events.append(ev_data)
+    if events:
+        result['events'] = events
+        result['sections'].append('events')
+    pred = soup.select_one('.prediction-card')
+    if pred:
+        team_info = pred.select_one('.team-info')
+        if team_info:
+            teams = team_info.select('.team')
+            pred_data = {}
+            if len(teams) >= 2:
+                pred_data['home_name'] = _clean(teams[0].select_one('.team-name').get_text()) if teams[0].select_one('.team-name') else ''
+                pred_data['away_name'] = _clean(teams[1].select_one('.team-name').get_text()) if teams[1].select_one('.team-name') else ''
+                divider = team_info.select_one('.divider')
+                if divider: pred_data['result'] = _clean(divider.get_text())
+                vc = pred.select_one('.vote-count')
+                if vc: pred_data['vote_count'] = _clean(vc.get_text())
+            result['prediction'] = pred_data
+    recent = []
+    ml = soup.select_one('.matches-list')
+    if ml:
+        for item in ml.select('.match-detail, .match-item, li'):
+            de = item.select_one('.date, .time')
+            le = item.select_one('.league')
+            he_item = item.select_one('.home, .team-home')
+            ae_item = item.select_one('.away, .team-away')
+            se = item.select_one('.score, .result')
+            if he_item or ae_item:
+                recent.append({'date': _clean(de.get_text()) if de else '', 'league': _clean(le.get_text()) if le else '', 'home': _clean(he_item.get_text()) if he_item else '', 'away': _clean(ae_item.get_text()) if ae_item else '', 'score': _clean(se.get_text()) if se else 'vs'})
+    if recent:
+        result['recent_matches'] = recent
+        result['sections'].append('recent')
+    try:
+        api_h = {"User-Agent": "Mozilla/5.0", "Accept": "application/json", "X-Requested-With": "XMLHttpRequest", "Referer": "https://bongda.com.vn/"}
+        ar = req.get(f"https://bongda.com.vn/api/fixtures/h2h-stats?event_id={event_id}", headers=api_h, timeout=10)
+        if ar.status_code == 200:
+            ad = ar.json()
+            if ad.get('status') == 'success' and ad.get('html'):
+                asp = BeautifulSoup(ad['html'], 'html.parser')
+                ast = {}
+                for row in asp.select('li, tr'):
+                    cells = row.select('td, span, p')
+                    if len(cells) >= 3:
+                        lb = _clean(cells[0].get_text())
+                        if lb: ast[lb] = {'home': _clean(cells[1].get_text()), 'away': _clean(cells[2].get_text())}
+                if ast:
+                    result['h2h_stats_parsed'] = ast
+                    result['sections'].append('h2h_stats')
+    except: pass
+    return result
+
+@app.get('/api/proxy/bongda')
+def proxy_bongda(event_id: int = Query(default=None), slug: str = Query(default=None)):
+    if event_id is None:
+        return JSONResponse({'error': 'event_id required'}, status_code=400)
+    cache_key = f"{event_id}_{slug}"
+    now = time.time()
+    cached = _match_cache.get(cache_key)
+    if cached and now - cached.get('_ts', 0) < 300:
+        return JSONResponse(cached)
+    try:
+        result = _get_match_detail(event_id, slug)
+        if result:
+            result['_ts'] = now
+            _match_cache[cache_key] = result
+            return JSONResponse(result)
+    except Exception as e:
+        err = {"event_id": event_id, "found": False, "error": str(e), "_ts": now}
+        _match_cache[cache_key] = err
+        return JSONResponse(err)
+    return JSONResponse({"event_id": event_id, "found": False})
+
+@app.get('/api/match/{event_id}/detail')
+def api_match_detail(event_id: int, url: str = Query(default=None)):
+    slug = None
+    if url:
+        m = re.match(r'.+/tran-dau/\d+/(?:centre|preview)/(.+)', url)
+        if m:
+            slug = m.group(1)
+    cache_key = f"{event_id}_{slug or ''}"
+    now = time.time()
+    cached = _match_cache.get(cache_key)
+    if cached and now - cached.get('_ts', 0) < 300:
+        return JSONResponse(cached)
+    try:
+        if not slug:
+            try:
+                home_r = req.get("https://bongda.com.vn/", headers={"User-Agent": "Mozilla/5.0"}, timeout=10)
+                if home_r.status_code == 200:
+                    home_soup = BeautifulSoup(home_r.text, 'html.parser')
+                    for a in home_soup.select(f'a[href*="/tran-dau/{event_id}/"]'):
+                        href = a.get('href', '')
+                        m = re.match(r'/tran-dau/\d+/(?:centre|preview)/(.+)', href)
+                        if m:
+                            slug = m.group(1)
+                            cache_key = f"{event_id}_{slug}"
+                            break
+            except: pass
+        result = _get_match_detail(event_id, slug)
+        if result:
+            result['_ts'] = now
+            _match_cache[cache_key] = result
+            return JSONResponse(result)
+    except Exception as e:
+        err = {"event_id": event_id, "found": False, "error": str(e), "_ts": now}
+        _match_cache[cache_key] = err
+        return JSONResponse(err)
+    return JSONResponse({"event_id": event_id, "found": False})
+
+_STOP=set('và của các những một được trong với cho tại sau trước khi không người việt nam hôm nay mới nhất nóng tin tức cập nhật theo từ đến là có thì này đã để'.split())
+
+def _has_kw(topic,title):
+    tl=topic.lower();tt=(title or'').lower()
+    if tl in tt:return True
+    words=[w for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+',tl) if len(w)>2 and w.lower() not in _STOP]
+    if not words:return True
+    return any(w in tt for w in words)
+
+def _s_vnexpress(topic,limit=8):
+    items=[]
+    try:
+        r=req.get(f"https://timkiem.vnexpress.net/?q={quote(topic)}",headers={'User-Agent':'Mozilla/5.0'},timeout=10);soup=BeautifulSoup(r.text,'lxml')
+        for art in soup.select('article.item-news')[:limit]:
+            a=art.select_one('h2 a, h3 a')
+            if a and a.get('href'):
+                t=_clean(a.get('title','') or a.get_text(strip=True))
+                if _has_kw(topic,t):items.append({'title':t,'url':a['href'],'via':'VnExpress'})
+    except:pass
+    return items
+
+def _s_dantri(topic,limit=8):
+    items=[]
+    try:
+        r=req.get(f"https://dantri.com.vn/tim-kiem/{quote(topic)}.htm",headers={'User-Agent':'Mozilla/5.0'},timeout=10);soup=BeautifulSoup(r.text,'lxml')
+        for a in soup.select('h3 a[href], .article-title a[href]')[:limit*2]:
+            t=_clean(a.get_text(strip=True));href=a.get('href','')
+            if t and len(t)>15 and _has_kw(topic,t):
+                if not href.startswith('http'):href='https://dantri.com.vn'+href
+                items.append({'title':t,'url':href,'via':'Dân Trí'})
+            if len(items)>=limit:break
+    except:pass
+    return items
+
+def _s_vietnamnet(topic,limit=6):
+    items=[]
+    try:
+        r=req.get(f"https://vietnamnet.vn/tim-kiem?q={quote(topic)}",headers={'User-Agent':'Mozilla/5.0'},timeout=10);soup=BeautifulSoup(r.text,'lxml')
+        for a in soup.select('h3 a[href], .vnn-title a')[:limit*2]:
+            t=_clean(a.get('title','') or a.get_text(strip=True));href=a.get('href','')
+            if t and len(t)>15 and _has_kw(topic,t):
+                if not href.startswith('http'):href='https://vietnamnet.vn'+href
+                items.append({'title':t,'url':href,'via':'VietNamNet'})
+            if len(items)>=limit:break
+    except:pass
+    return items
+
+def _s_bongda(topic,limit=5):
+    items=[]
+    try:
+        r=req.get(f"https://bongda.com.vn/tim-kiem.html?q={quote(topic)}",headers={'User-Agent':'Mozilla/5.0'},timeout=8);soup=BeautifulSoup(r.text,'lxml')
+        for a in soup.select('h3 a[href], .title a[href]')[:limit*2]:
+            t=_clean(a.get_text(strip=True));href=a.get('href','')
+            if t and len(t)>15 and _has_kw(topic,t):
+                if not href.startswith('http'):href='https://bongda.com.vn'+href
+                items.append({'title':t,'url':href,'via':'Bóng Đá'})
+            if len(items)>=limit:break
+    except:pass
+    return items
+
+def _s_genk(topic,limit=5):
+    items=[]
+    try:
+        r=req.get(f"https://genk.vn/tim-kiem?q={quote(topic)}",headers={'User-Agent':'Mozilla/5.0'},timeout=8);soup=BeautifulSoup(r.text,'lxml')
+        for a in soup.select('a[href$=".chn"]')[:limit*3]:
+            t=_clean(a.get('title','') or a.get_text(strip=True));href=a.get('href','')
+            if t and len(t)>15 and _has_kw(topic,t):
+                if href.startswith('/'):href='https://genk.vn'+href
+                items.append({'title':t,'url':href,'via':'GenK'})
+            if len(items)>=limit:break
+    except:pass
+    return items
+
+def _s_thanhnien(topic,limit=6):
+    items=[]
+    try:
+        r=req.get(f"https://thanhnien.vn/tim-kiem?q={quote(topic)}",headers={'User-Agent':'Mozilla/5.0'},timeout=10);soup=BeautifulSoup(r.text,'lxml')
+        for a in soup.select('h3 a[href], .box-title a')[:limit*2]:
+            t=_clean(a.get('title','') or a.get_text(strip=True));href=a.get('href','')
+            if t and len(t)>15 and _has_kw(topic,t):
+                if not href.startswith('http'):href='https://thanhnien.vn'+href
+                items.append({'title':t,'url':href,'via':'Thanh Niên'})
+            if len(items)>=limit:break
+    except:pass
+    return items
+
+def _s_tuoitre(topic,limit=6):
+    items=[]
+    try:
+        r=req.get(f"https://tuoitre.vn/tim-kiem.htm?keywords={quote(topic)}",headers={'User-Agent':'Mozilla/5.0'},timeout=10);soup=BeautifulSoup(r.text,'lxml')
+        for a in soup.select('h3 a[href], .box-title-text a')[:limit*2]:
+            t=_clean(a.get('title','') or a.get_text(strip=True));href=a.get('href','')
+            if t and len(t)>15 and _has_kw(topic,t):
+                if not href.startswith('http'):href='https://tuoitre.vn'+href
+                items.append({'title':t,'url':href,'via':'Tuổi Trẻ'})
+            if len(items)>=limit:break
+    except:pass
+    return items
+
+def _s_thethaovanhoa(topic,limit=5):
+    items=[]
+    try:
+        r=req.get(f"https://thethaovanhoa.vn/tim-kiem.htm?keyword={quote(topic)}",headers={'User-Agent':'Mozilla/5.0'},timeout=8);soup=BeautifulSoup(r.text,'lxml')
+        for a in soup.select('h3 a[href], .title a[href]')[:limit*2]:
+            t=_clean(a.get('title','') or a.get_text(strip=True));href=a.get('href','')
+            if t and len(t)>15 and _has_kw(topic,t):
+                if not href.startswith('http'):href='https://thethaovanhoa.vn'+href
+                items.append({'title':t,'url':href,'via':'TT&VH'})
+            if len(items)>=limit:break
+    except:pass
+    return items
+
+def _search_all(topic,limit=36):
+    results={}
+    with ThreadPoolExecutor(8) as ex:
+        futs={ex.submit(_s_vnexpress,topic,8):'vne',ex.submit(_s_dantri,topic,8):'dt',ex.submit(_s_vietnamnet,topic,6):'vnn',ex.submit(_s_bongda,topic,5):'bd',ex.submit(_s_genk,topic,5):'gk',ex.submit(_s_thanhnien,topic,6):'tn',ex.submit(_s_tuoitre,topic,6):'tt',ex.submit(_s_thethaovanhoa,topic,5):'tvh'}
+        for f in as_completed(futs,timeout=14):
+            try:results[futs[f]]=f.result()
+            except:results[futs[f]]=[]
+    srcs=list(results.values());out=[];seen=set()
+    for i in range(max((len(s) for s in srcs),default=0)):
+        for s in srcs:
+            if i<len(s) and s[i].get('url') and s[i]['url'] not in seen:seen.add(s[i]['url']);out.append(s[i])
+    return out[:limit]
+
+for _path in ['/api/article', '/api/hot_topics', '/api/categories', '/api/storage_status']:
+    app.router.routes=[r for r in app.router.routes if not(getattr(r,'path',None)==_path and 'GET' in getattr(r,'methods',set()))]
+
+_article_cache = {}
+_article_cache_ttl = 1800
+
+_art_session = None
+_art_lock = threading.Lock()
+def _get_art_session():
+    global _art_session
+    if _art_session is None:
+        with _art_lock:
+            if _art_session is None:
+                _art_session = req.Session()
+                _art_session.headers.update({
+                    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
+                    "Accept-Language": "vi-VN,vi;q=0.9,en;q=0.8",
+                    "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+                })
+    return _art_session
+
+def _scrape_article_fast(url):
+    from urllib.parse import urlparse
+    domain = urlparse(url).netloc
+    sess = _get_art_session()
+    uas = [
+        {"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Mobile/15E148 Safari/604.1"},
+        {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"},
+    ]
+    for ua in uas:
+        try:
+            r = sess.get(url, headers=ua, timeout=6, allow_redirects=True)
+            if not r or r.status_code != 200:
+                continue
+            r.encoding = 'utf-8'
+            soup = BeautifulSoup(r.text, 'lxml')
+            for tag in soup.find_all(['script','style','nav','footer','aside','form','noscript','iframe','.ads','.ad','.banner-ads','.fb-comments','.fb-root','.social-share','.related-news','.tag','.breadcrumb']):
+                tag.decompose()
+            title = summary = og_img = ""
+            ogt = soup.find('meta', property='og:title')
+            if ogt: title = ogt.get('content', '')
+            ogd = soup.find('meta', property='og:description') or soup.find('meta', attrs={'name': 'description'})
+            if ogd: summary = ogd.get('content', '')[:500]
+            ogi = soup.find('meta', property='og:image')
+            if ogi:
+                og_img = ogi.get('content', '')
+                if og_img.startswith('//'): og_img = 'https:' + og_img
+            h1 = soup.find('h1')
+            if not title and h1: title = h1.get_text(strip=True)[:200]
+            body = []
+            selectors = [
+                '.fck_detail', '.sidebar-1',
+                '.singular-content', '.dt__content', '.article-content', '.content-detail', '#divNewsContent',
+                '.content-detail', '.main-content-detail', '.box-content',
+                '.knc-content', '.article-body', '.detail-body',
+                '.article-detail', '.detail-content',
+                'article', 'main', '.cms-body', '.article__body', '.post-content',
+                '.entry-content', '#content', '.article-text', '.story-body',
+            ]
+            for sel in selectors:
+                el = soup.select_one(sel)
+                if el and len(el.find_all('p')) >= 2:
+                    seen_imgs = set()
+                    for child in el.find_all(['p','h2','h3','figure','img'], recursive=True):
+                        if child.name == 'p':
+                            t = child.get_text(strip=True)
+                            if t and len(t) > 15:
+                                body.append({'type': 'p', 'text': t})
+                        elif child.name in ('h2','h3'):
+                            t = child.get_text(strip=True)
+                            if t:
+                                body.append({'type': 'heading', 'text': t})
+                        elif child.name in ('figure','img'):
+                            im = child if child.name == 'img' else child.find('img')
+                            if im:
+                                src = im.get('data-src') or im.get('src') or im.get('data-lazy') or ''
+                                if src and 'base64' not in src and src not in seen_imgs:
+                                    seen_imgs.add(src)
+                                    if src.startswith('//'): src = 'https:' + src
+                                    body.append({'type': 'img', 'src': src})
+                        if child.name == 'figure':
+                            cap = child.find('figcaption')
+                            if cap:
+                                ct = cap.get_text(strip=True)
+                                if ct: body.append({'type': 'p', 'text': ct})
+                    if len(body) >= 2:
+                        return {'title': _clean(title), 'summary': _clean(summary), 'og_image': og_img,
+                                'body': body[:50], 'source': domain, 'url': url}
+            if title and (summary or og_img):
+                fallback = []
+                if og_img: fallback.append({'type': 'img', 'src': og_img})
+                if summary: fallback.append({'type': 'p', 'text': summary})
+                if fallback:
+                    return {'title': _clean(title), 'summary': _clean(summary), 'og_image': og_img,
+                            'body': fallback, 'source': domain, 'url': url, 'fallback': True}
+            if title:
+                return {'title': _clean(title), 'summary': '', 'og_image': '',
+                        'body': [{'type': 'p', 'text': 'Nội dung đang được tải...'}],
+                        'source': domain, 'url': url, 'fallback': True}
+            break
+        except Exception:
+            continue
+    return None
+
+@app.get('/api/article')
+def api_article_v2(url: str = Query(...)):
+    from urllib.parse import unquote
+    safe_url = unquote(url)
+    try:
+        now = time.time()
+        cached = _article_cache.get(safe_url)
+        if cached and now - cached['t'] < _article_cache_ttl:
+            resp = JSONResponse(cached['d'])
+            resp.headers["Cache-Control"] = "public, max-age=1800"
+            return resp
+        data = _scrape_article_fast(safe_url)
+        if data and data.get('body'):
+            _article_cache[safe_url] = {'d': data, 't': now}
+            resp = JSONResponse(data)
+            resp.headers["Cache-Control"] = "public, max-age=1800"
+            return resp
+        result = {'error': 'Không đọc được', 'url': safe_url}
+        resp = JSONResponse(result)
+        resp.headers["Cache-Control"] = "public, max-age=60"
+        return resp
+    except Exception as e:
+        return JSONResponse({'error': f'Server error: {str(e)[:100]}', 'url': safe_url}, status_code=200)
+
+_hot_cache={'t':0,'d':[]}
+def _parse_feed(feed_url):
+    try:
+        r=req.get(feed_url,headers={'User-Agent':'Mozilla/5.0'},timeout=4)
+        r.encoding='utf-8';soup=BeautifulSoup(r.text,'xml')
+        out=[]
+        for item in soup.find_all('item')[:12]:
+            t=item.find('title')
+            title=_clean(t.get_text() if t else '')
+            if title: out.append(title)
+        return out
+    except Exception:
+        return []
+def _get_hot_topics():
+    now=time.time()
+    if _hot_cache['d'] and now-_hot_cache['t']<600:return _hot_cache['d']
+    feeds=['https://vnexpress.net/rss/tin-moi-nhat.rss','https://dantri.com.vn/rss/home.rss','https://vietnamnet.vn/rss/tin-moi-nhat.rss','https://thanhnien.vn/rss/home.rss','https://tuoitre.vn/rss/tin-moi-nhat.rss','https://genk.vn/rss','https://vnexpress.net/rss/the-thao.rss','https://thethaovanhoa.vn/rss/tin-nong.rss']
+    titles=[]
+    with ThreadPoolExecutor(8) as ex:
+        futs=[ex.submit(_parse_feed,f) for f in feeds]
+        for f in as_completed(futs,timeout=5):
+            try:
+                for t in f.result(): titles.append(t)
+            except Exception: pass
+    freq={};display={}
+    for title in titles:
+        if not title: continue
+        title=re.sub(r'\s*[-|].*$','',title)
+        words=[w for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+',title) if len(w)>2 and w.lower() not in _STOP]
+        if len(words)<2:continue
+        for n in(3,4,2):
+            for i in range(max(0,len(words)-n+1)):
+                phrase=' '.join(words[i:i+n])
+                if 8<=len(phrase)<=45:key=phrase.lower();freq[key]=freq.get(key,0)+1;display[key]=phrase
+    ranked=sorted(freq.items(),key=lambda x:x[1],reverse=True);topics=[];seen=set()
+    for key,count in ranked:
+        is_dup=any(len(set(e.split())&set(key.split()))/max(len(set(e.split())),len(set(key.split())),1)>0.6 for e in seen)
+        if is_dup:continue
+        seen.add(key);topics.append({'label':'#'+re.sub(r'\s+','',display[key].title()),'topic':display[key],'count':count})
+        if len(topics)>=20:break
+    for kw in['World Cup 2026','Kinh tế Việt Nam','Bóng đá châu Âu','Công nghệ AI','Giá vàng','Thời tiết']:
+        if len(topics)>=24:break
+        if not any(kw.lower() in s for s in seen):topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw,'count':0})
+    _hot_cache.update({'t':now,'d':topics[:24]});return topics[:24]
+
+@app.get('/api/hot_topics')
+def api_hot_topics():
+    resp = JSONResponse({'topics':_get_hot_topics()})
+    resp.headers["Cache-Control"] = "public, max-age=120"
+    return resp
+@app.get('/')
+async def serve_index():
+    p=os.path.join(STATIC_DIR,'index_v2.html')
+    if os.path.exists(p):return FileResponse(p,media_type='text/html')
+    return HTMLResponse('<h1>VNEWS</h1>')
+@app.get('/api/hashtag/sources')
+def _ht(topic:str=Query(...),page:int=Query(default=0)):
+    items=_search_all(topic,36);per_page=8;start=page*per_page;end=start+per_page
+    return JSONResponse({'sources':items[start:end],'topic':topic,'page':page,'has_more':end<len(items),'total':len(items)})
+@app.get('/api/categories')
+def _cat():
+    try:
+        from main import VNE_CATS
+        cats=[{"id":k,"name":n,"source":"vne"} for k,(u,n) in VNE_CATS.items()]
+        resp=JSONResponse(cats)
+        resp.headers["Cache-Control"]="public, max-age=600"
+        return resp
+    except Exception:
+        return JSONResponse([])
+@app.get('/api/storage_status')
+def _st():return JSONResponse({'persistent':os.path.isdir('/data') and os.access('/data',os.W_OK)})
+# ===== SHARE HELPERS: render content pages for shared links =====
+def _render_slides_page(post, safe_title, safe_img, safe_url):
+    slides = post.get('slides', [])
+    # Get image from post.img or first slide's image
+    if not safe_img and slides and slides[0].get('image'):
+        safe_img = slides[0].get('image', '')
+    # Use text for description if available
+    description = _clean((post.get('text') or '')[:200]) or "Tin tức tóm tắt, AI rewrite, World Cup 2026"
+    
+    # Build canonical URL preserving original query format if url was provided
+    if safe_url and safe_url != '/':
+        canonical_url = f"{SPACE}/s?url={quote(safe_url)}&title={quote(safe_title[:100])}"
+    else:
+        canonical_url = f"{SPACE}/s?post_id={post.get('id') or ''}"
+    
+    h = f'''<!DOCTYPE html>
+<html lang="vi">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width,initial-scale=1">
+<title>{_clean(safe_title)}</title>
+<meta property="og:title" content="{_clean(safe_title)}">
+<meta property="og:image" content="{_clean(safe_img)}">
+<meta property="og:description" content="{description}">
+<meta property="og:url" content="{canonical_url}">
+<link rel="canonical" href="{canonical_url}">
+<style>
+*{{box-sizing:border-box;margin:0;padding:0}}body{{background:#111;color:#eee;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;padding:12px}}
+.slide-card{{background:#1a1a1a;border:1px solid #2a2a2a;border-radius:12px;padding:16px;margin-bottom:12px;max-width:600px;margin-left:auto;margin-right:auto}}
+.slide-num{{color:#5cb87a;font-size:12px;font-weight:700;margin-bottom:6px}}
+.slide-img{{width:100%;max-height:300px;object-fit:cover;border-radius:8px;margin-bottom:8px}}
+.slide-text{{color:#ddd;font-size:14px;line-height:1.6;margin:0}}
+</style>
+</head>
+<body>'''
+    for s in slides:
+        img_src = s.get('image', '')
+        if img_src and ('cdnphoto.dantri' in img_src or 'refooty' in img_src or 'vnexpress' in img_src or 'vcdn' in img_src):
+            img_tag = f'<img src="/api/proxy/img?url={quote(img_src, safe="")}" class="slide-img" loading="lazy" onerror="this.style.display=\'none\'">'
+        else:
+            img_tag = f'<img src="{_clean(img_src)}" class="slide-img" loading="lazy" onerror="this.style.display=\'none\'">' if img_src else ''
+        h += f'<div class="slide-card"><div class="slide-num">Slide {s.get("index",1)}/{len(slides)}</div>{img_tag}<p class="slide-text">{_clean(s.get("text",""))}</p></div>'
+    h += '</body></html>'
+    return HTMLResponse(h)
+
+def _render_video_page(post, safe_title, safe_img, safe_url):
+    video_url = post.get('video', '')
+    # Use text for description if available
+    description = _clean((post.get('text') or '')[:200]) or "Tin tức tóm tắt, AI rewrite, World Cup 2026"
+    
+    # Build canonical URL preserving original query format if url was provided
+    if safe_url and safe_url != '/':
+        canonical_url = f"{SPACE}/s?url={quote(safe_url)}&title={quote(safe_title[:100])}"
+    else:
+        canonical_url = f"{SPACE}/s?post_id={post.get('id') or ''}"
+    
+    h = f'''<!DOCTYPE html>
+<html lang="vi">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=1,user-scalable=no">
+<title>{_clean(safe_title)}</title>
+<meta property="og:title" content="{_clean(safe_title)}">
+<meta property="og:image" content="{_clean(safe_img)}">
+<meta property="og:description" content="{description}">
+<meta property="og:url" content="{canonical_url}">
+<link rel="canonical" href="{canonical_url}">
+<meta name="twitter:card" content="player">
+<meta name="twitter:player" content="{video_url}">
+<style>
+*{{box-sizing:border-box;margin:0;padding:0}}body{{background:#111;color:#eee;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;padding:0;overflow:hidden}}
+.video-container{{width:100vw;height:100vh;display:flex;flex-direction:column;align-items:center;justify-content:center;background:#000}}
+video{{width:100%;height:100%;max-height:100vh;object-fit:contain;background:#000}}
+.title-bar{{position:fixed;bottom:0;left:0;right:0;background:linear-gradient(transparent,rgba(0,0,0,.8));padding:40px 16px 16px;text-align:center}}
+.title-text{{color:#fff;font-size:13px;line-height:1.4;max-width:600px;margin:0 auto}}
+</style>
+</head>
+<body>
+<div class="video-container">
+<video src="{_clean(video_url)}" controls autoplay playsinline loop></video>
+<div class="title-bar"><div class="title-text">{_clean(safe_title)}</div></div>
+</div>
+</body></html>'''
+    return HTMLResponse(h)
+
+@app.get('/s/{slug}')
+async def _sh_slug(slug: str, request: Request, url: str = '', title: str = '', img: str = ''):
+    """SEO-friendly share endpoint with slug in URL path.
+    Shows slide content when slug matches a wall post ID, otherwise redirects.
+    """
+    safe_title = _clean(title) if title else 'VNEWS - Tin tức'
+    safe_img = _clean(img) if img else ''
+    safe_url = _clean(url) if url else '/'
+    
+    # Try to find post by slug (post ID)
+    post = None
+    try:
+        if slug and len(slug) > 5:  # Likely a post ID
+            posts = _load_wall_posts()
+            for p in posts:
+                if p.get('id') == slug:
+                    post = p
+                    safe_title = p.get('title', safe_title) or safe_title
+                    safe_img = p.get('img', safe_img) or safe_img
+                    safe_url = p.get('url', safe_url) or safe_url
+                    break
+    except:
+        pass
+    
+    if post and post.get('slides'):
+        return _render_slides_page(post, safe_title, safe_img, safe_url)
+    
+    if post and post.get('video'):
+        return _render_video_page(post, safe_title, safe_img, safe_url)
+    
+    # Otherwise redirect
+    return HTMLResponse(f'''<!DOCTYPE html>
+<html lang="vi">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width,initial-scale=1">
+<title>{_clean(safe_title)}</title>
+<meta property="og:title" content="{_clean(safe_title)}">
+<meta property="og:image" content="{_clean(safe_img)}">
+<meta property="og:description" content="Tin tức tóm tắt, AI rewrite, World Cup 2026">
+<meta property="og:url" content="{SPACE}/s/{slug}">
+<link rel="canonical" href="{SPACE}/s/{slug}">
+<meta http-equiv="refresh" content="0;url={safe_url}">
+</head><body></body></html>''')
+
+@app.get('/s')
+async def _sh(url:str='',title:str='',img:str='',post_id:str=''):
+    safe_title = _clean(title) if title else 'VNEWS - Tin tức'
+    safe_img = _clean(img) if img else ''
+    safe_url = _clean(url) if url else '/'
+    
+    # Try to find wall post by post_id or URL (prioritize posts with slides/video)
+    post = None
+    try:
+        posts = _load_wall_posts()
+        if post_id:
+            for p in posts:
+                if p.get('id') == post_id:
+                    post = p
+                    safe_title = p.get('title', safe_title) or safe_title
+                    safe_img = p.get('img', safe_img) or safe_img
+                    safe_url = p.get('url', safe_url) or safe_url
+                    break
+        elif url:
+            # Find matching URL - prioritize posts with slides or video
+            for p in posts:
+                if p.get('url') == url and p.get('slides'):
+                    post = p
+                    safe_title = p.get('title', safe_title) or safe_title
+                    safe_img = p.get('img', safe_img) or safe_img
+                    safe_url = p.get('url', safe_url) or safe_url
+                    break
+            if not post:
+                # Fallback: find any matching URL
+                for p in posts:
+                    if p.get('url') == url:
+                        post = p
+                        safe_title = p.get('title', safe_title) or safe_title
+                        safe_img = p.get('img', safe_img) or safe_img
+                        safe_url = p.get('url', safe_url) or safe_url
+                        break
+    except:
+        pass
+    
+    if post and post.get('slides'):
+        return _render_slides_page(post, safe_title, safe_img, safe_url)
+    
+    if post and post.get('video'):
+        return _render_video_page(post, safe_title, safe_img, safe_url)
+    
+    # Fallback: redirect to original URL
+    return HTMLResponse(f'''<!DOCTYPE html>
+<html lang="vi">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width,initial-scale=1">
+<title>{safe_title}</title>
+<meta property="og:title" content="{safe_title}">
+<meta property="og:image" content="{safe_img}">
+<meta property="og:description" content="Tin tức tóm tắt, AI rewrite, World Cup 2026">
+<meta property="og:url" content="{SPACE}/s?url={quote(safe_url)}">
+<link rel="canonical" href="{SPACE}/s?url={quote(safe_url)}">
+<meta http-equiv="refresh" content="0;url={safe_url}">
+</head><body></body></html>''')
+
+from wc2026_scraper import scrape_summary,scrape_fixtures,scrape_standings,scrape_stats,scrape_wc_news,scrape_road_to_wc,get_wc2026_all,scrape_history,scrape_h2h,scrape_lineups,scrape_match_detail
+
+_xlb_cache = {}
+_xlb_lock = threading.Lock()
+
+def _xlb_scrape(path):
+    url = f"https://xemlaibongda.top/{path}"
+    r = req.get(url, headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"}, timeout=15, allow_redirects=True)
+    if r.status_code != 200:
+        return []
+    soup = BeautifulSoup(r.text, 'lxml')
+    vids = []
+    seen = set()
+    for a in soup.select('a[href*="/video/"]'):
+        href = a.get('href', '')
+        if not href or href in seen:
+            continue
+        seen.add(href)
+        if not href.startswith('http'):
+            href = 'https://xemlaibongda.top' + href
+        img = a.select_one('img')
+        p = a.parent
+        for _ in range(4):
+            if img:
+                break
+            if p:
+                img = p.select_one('img')
+                p = p.parent
+        img_src = ''
+        if img:
+            img_src = img.get('data-src','') or img.get('src','') or img.get('data-lazy','') or img.get('data-original','')
+            if img_src.startswith('//'):
+                img_src = 'https:' + img_src
+            elif img_src.startswith('/'):
+                img_src = 'https://xemlaibongda.top' + img_src
+        title = ''
+        for sel in ['.title', 'h3', 'h2', '.name', '.post-title', '.entry-title', '.video-title']:
+            t = a.select_one(sel)
+            if t:
+                title = _clean(t.get_text())
+                break
+        if not title:
+            title = _clean(a.get('title',''))
+        if not title:
+            img_alt = a.select_one('img')
+            if img_alt:
+                title = _clean(img_alt.get('alt',''))
+        if not title:
+            parent = a.parent
+            if parent:
+                pt = _clean(parent.get_text(' ',strip=True))
+                if 5 < len(pt) < 120:
+                    title = pt
+        if not title or len(title) < 3:
+            continue
+        vids.append({"link": href, "img": img_src, "title": title})
+        if len(vids) >= 30:
+            break
+    return vids
+
+@app.get('/api/proxy/xlb')
+def proxy_xlb(path: str = Query(default="")):
+    now = time.time()
+    cache_key = f"xlb:{path}"
+    with _xlb_lock:
+        cached = _xlb_cache.get(cache_key)
+        if cached and now - cached['t'] < 120:
+            return JSONResponse(cached['d'])
+    try:
+        vids = _xlb_scrape(path)
+        result = {"videos": vids, "count": len(vids)}
+        with _xlb_lock:
+            _xlb_cache[cache_key] = {'t': now, 'd': result}
+        return JSONResponse(result)
+    except Exception as e:
+        return JSONResponse({"videos": [], "count": 0, "error": str(e)}, status_code=500)
+
+@app.get('/api/wc2026')
+def _w():return JSONResponse(get_wc2026_all())
+@app.get('/api/wc2026/fixtures')
+def _wf():return JSONResponse(scrape_fixtures())
+@app.get('/api/wc2026/standings')
+def _ws():return JSONResponse(scrape_standings())
+@app.get('/api/wc2026/stats')
+def _wst():return JSONResponse(scrape_stats())
+@app.get('/api/wc2026/history')
+def _whi():return JSONResponse(scrape_history())
+@app.get('/api/wc2026/news')
+def _wn():return JSONResponse(scrape_wc_news())
+@app.get('/api/wc2026/road')
+def _wr():return JSONResponse(scrape_road_to_wc())
+@app.get('/api/wc2026/h2h/{eid}')
+def _wh2(eid:int):return JSONResponse(scrape_h2h(eid))
+@app.get('/api/wc2026/lineups/{eid}')
+def _wl(eid:int):return JSONResponse(scrape_lineups(eid))
+@app.get('/api/wc2026/match/{eid}')
+def _wm(eid:int):return JSONResponse(scrape_match_detail(eid))
+
+DATA_DIR='/data' if os.path.isdir('/data') else os.path.join(os.path.dirname(os.path.abspath(__file__)),'data')
+os.makedirs(DATA_DIR,exist_ok=True)
+IF=os.path.join(DATA_DIR,'interactions_v2.json')
+CF=os.path.join(DATA_DIR,'comments_v2.json')
+WALL_FILE=os.path.join(DATA_DIR,'wall_posts.json')
+WALL_VIDEO_DIR=os.path.join(DATA_DIR,'wall_videos')
+os.makedirs(WALL_VIDEO_DIR,exist_ok=True)
+
+_il=threading.Lock();_cl=threading.Lock();_wl_lock=threading.Lock()
+def _lj(p):
+    try:
+        if os.path.exists(p):return json.load(open(p,'r',encoding='utf-8'))
+    except:pass
+    return{}
+def _sj(p,d):
+    try:open(p+'.tmp','w',encoding='utf-8').write(json.dumps(d,ensure_ascii=False));os.replace(p+'.tmp',p)
+    except:pass
+
+@app.post('/api/v2/interact')
+async def _int(request:Request):
+    b=await request.json();v=str(b.get('id','')).strip();t=str(b.get('type','')).strip()
+    if not v or t not in('view','like'):return JSONResponse({'error':'x'},status_code=400)
+    with _il:db=_lj(IF);db.setdefault(v,{'views':0,'likes':0,'comments':0});db[v][t+'s']+=1;_sj(IF,db);return JSONResponse(db[v])
+
+@app.get('/api/v2/interactions')
+def _gi(id:str=Query(...)):
+    with _il:return JSONResponse(_lj(IF).get(id.strip(),{'views':0,'likes':0,'comments':0}))
+
+@app.get('/api/v2/comments')
+def _gc(id:str=Query(...)):
+    with _cl:return JSONResponse({'comments':_lj(CF).get(id.strip(),[])})
+
+@app.post('/api/v2/comment')
+async def _pc(request:Request):
+    b=await request.json();v=str(b.get('id','')).strip();tx=str(b.get('text','')).strip()[:500]
+    if not v or not tx:return JSONResponse({'error':'x'},status_code=400)
+    c={'text':tx,'time':time.strftime('%H:%M %d/%m',time.localtime()),'ts':int(time.time())}
+    with _cl:db=_lj(CF);db.setdefault(v,[]);db[v].append(c);db[v]=db[v][-200:];_sj(CF,db);cms=db[v]
+    with _il:idb=_lj(IF);idb.setdefault(v,{'views':0,'likes':0,'comments':0});idb[v]['comments']=len(cms);_sj(IF,idb)
+    return JSONResponse({'comments':cms})
+
+def _load_wall_posts():
+    with _wl_lock:
+        return _lj(WALL_FILE)
+
+def _save_wall_posts(posts):
+    with _wl_lock:
+        _sj(WALL_FILE, posts)
+
+@app.get("/api/ai/wall")
+def api_ai_wall():
+    return JSONResponse({"posts": _load_wall_posts()})
+
+@app.post("/api/ai/short/{post_id}")
+def api_ai_short(post_id: str):
+    """Generate a short video for a wall post.
+    Returns clear JSON error when video not available yet.
+    """
+    post_id_s = str(post_id)
+    posts = _load_wall_posts()
+    if not isinstance(posts, list):
+        posts = []
+    post = None
+    for p in posts:
+        pid = str(p.get("id", ""))
+        if pid == post_id_s or pid.startswith(post_id_s):
+            post = p
+            break
+    if not post:
+        return JSONResponse({"error": "Không tìm thấy bài viết", "post_id": post_id}, status_code=404)
+    if post.get("video"):
+        return JSONResponse({"video": post["video"], "post": post})
+    return JSONResponse({"error": "Chưa có video cho bài này. Vui lòng upload video trước."}, status_code=409)
+
+@app.get('/api/wall')
+def api_wall():
+    posts = _load_wall_posts()
+    if not posts:
+        return JSONResponse({"posts": []})
+    return JSONResponse({"posts": posts})
+
+@app.post('/api/wall')
+async def api_wall_post(request: Request):
+    content_type = request.headers.get('content-type', '')
+    if 'multipart/form-data' in content_type:
+        try:
+            form = await request.form()
+        except Exception as e:
+            return JSONResponse({"error": f"Form parse error: {str(e)}"}, status_code=400)
+        title = form.get('title', 'Video mới') or 'Video mới'
+        text = form.get('text', '') or ''
+        source = form.get('source', 'vtv_recorder') or 'vtv_recorder'
+        video_file = form.get('video')
+        post_id = str(uuid.uuid4())[:12]
+        video_url = None
+        if video_file and hasattr(video_file, 'filename') and video_file.filename:
+            fname = video_file.filename.lower()
+            if fname.endswith('.mp4'):
+                ext = '.mp4'
+            elif fname.endswith('.webm'):
+                ext = '.webm'
+            else:
+                ext = '.webm'
+            video_filename = f"wall_{post_id}{ext}"
+            video_path = os.path.join(WALL_VIDEO_DIR, video_filename)
+            try:
+                content = await video_file.read()
+                if not content:
+                    return JSONResponse({"error": "Empty video file"}, status_code=400)
+                with open(video_path, 'wb') as f:
+                    f.write(content)
+                file_size_mb = len(content) / 1024 / 1024
+                if file_size_mb > 50:
+                    os.remove(video_path)
+                    return JSONResponse({"error": f"Video quá lớn ({file_size_mb:.1f}MB). Tối đa 50MB."}, status_code=400)
+                video_url = f"/api/wall/video/{video_filename}"
+            except Exception as e:
+                return JSONResponse({"error": f"Lỗi lưu video: {str(e)}"}, status_code=500)
+        post = {
+            "id": post_id,
+            "title": title[:200],
+            "text": text[:2000],
+            "source": source,
+            "video": video_url,
+            "img": None,
+            "images": [],
+            "created": int(time.time()),
+            "created_str": time.strftime('%H:%M %d/%m/%Y', time.localtime()),
+        }
+        posts = _load_wall_posts()
+        if not isinstance(posts, list):
+            posts = []
+        posts.insert(0, post)
+        posts = posts[:200]
+        _save_wall_posts(posts)
+        return JSONResponse({"post": post, "ok": True})
+    try:
+        body = await request.json()
+    except:
+        body = {}
+    title = body.get('title', 'Bài mới') or 'Bài mới'
+    text = body.get('text', '') or ''
+    img = body.get('img', None)
+    source = body.get('source', 'user') or 'user'
+    incoming_id = body.get('id') or ''  # allow client to (re)publish an existing post by id
+    post_id = str(uuid.uuid4())[:12]
+    # Preserve slide-design post fields (slides, kind, url, images, video, voice, etc.)
+    # so that "Thiết kế ảnh" -> "Đăng lên Tường AI" keeps the selected slides.
+    slides = body.get('slides')
+    kind = body.get('kind') or 'user'
+    post_url = body.get('url') or ''
+    images = body.get('images') or []
+    video = body.get('video')
+    voice = body.get('voice') or ''
+    emotion = body.get('emotion') or ''
+    language = body.get('language') or ''
+    post = {
+        "id": post_id,
+        "title": title[:200],
+        "text": text[:2000],
+        "source": source,
+        "video": video,
+        "img": img,
+        "images": images[:10],
+        "url": post_url,
+        "kind": kind,
+        "slides": slides if slides is not None else None,
+        "voice": voice,
+        "emotion": emotion,
+        "language": language,
+        "created": int(time.time()),
+        "created_str": time.strftime('%H:%M %d/%m/%Y', time.localtime()),
+    }
+    # Remove keys with None so the JSON stays lean (but keep structure)
+    post = {k: v for k, v in post.items() if v is not None}
+    posts = _load_wall_posts()
+    if not isinstance(posts, list):
+        posts = []
+    # If the client re-publishes (e.g. designer "Lưu & Đăng lên Tường AI" sends
+    # the original post id), update that post in place instead of creating a
+    # duplicate. This keeps the homepage wall clean (no duplicate slide posts).
+    updated = False
+    if incoming_id:
+        for _p in posts:
+            if str(_p.get('id')) == str(incoming_id):
+                # Merge new fields into the existing post, but PRESERVE the
+                # original id (and created timestamp) so the post identity is
+                # stable and no duplicate is created.
+                preserve_id = _p.get('id')
+                preserve_created = _p.get('created')
+                preserve_created_str = _p.get('created_str')
+                _p.update(post)
+                _p['id'] = preserve_id
+                if preserve_created is not None: _p['created'] = preserve_created
+                if preserve_created_str is not None: _p['created_str'] = preserve_created_str
+                updated = True
+                post = _p  # return the merged post (with stable id) to the client
+                break
+    if not updated:
+        posts.insert(0, post)
+    else:
+        # Move the updated post to the top so it re-appears at the top of the wall.
+        posts = [p for p in posts if str(p.get('id')) != str(incoming_id)]
+        posts.insert(0, post)
+    posts = posts[:200]
+    _save_wall_posts(posts)
+    return JSONResponse({"post": post, "ok": True})
+
+@app.get('/api/wall/video/{filename}')
+def api_wall_video(filename: str):
+    if '..' in filename or '/' in filename:
+        return Response(status_code=403)
+    video_path = os.path.join(WALL_VIDEO_DIR, filename)
+    if not os.path.exists(video_path):
+        return Response(status_code=404)
+    ext = os.path.splitext(filename)[1].lower()
+    media_type = 'video/mp4' if ext == '.mp4' else 'video/webm'
+    return FileResponse(video_path, media_type=media_type)
+
+WALL_IMG_DIR = os.path.join(DATA_DIR, 'wall_imgs')
+os.makedirs(WALL_IMG_DIR, exist_ok=True)
+
+@app.post('/api/wall/img')
+async def api_wall_img(request: Request):
+    """Upload a designed slide image (PNG) and return a served URL."""
+    global WALL_IMG_DIR
+    try:
+        form = await request.form()
+        f = form.get('file')
+        if not f or not hasattr(f, 'filename') or not f.filename:
+            return JSONResponse({"error": "Thiếu file ảnh"}, status_code=400)
+        ext = os.path.splitext(f.filename)[1].lower()
+        if ext not in ('.png', '.jpg', '.jpeg', '.webp'):
+            ext = '.png'
+        img_id = str(uuid.uuid4())[:12]
+        fname = f"wallimg_{img_id}{ext}"
+        fpath = os.path.join(WALL_IMG_DIR, fname)
+        content = await f.read()
+        if not content:
+            return JSONResponse({"error": "File rỗng"}, status_code=400)
+        if len(content) > 15 * 1024 * 1024:
+            return JSONResponse({"error": "Ảnh quá lớn (>15MB)"}, status_code=400)
+        with open(fpath, 'wb') as fh:
+            fh.write(content)
+        post_id = (form.get('post_id') or '').strip()
+        if post_id:
+            posts = _load_wall_posts()
+            if isinstance(posts, list):
+                for p in posts:
+                    if str(p.get('id')) == str(post_id):
+                        p['img'] = f"/api/wall/img/{fname}"
+                        break
+                _save_wall_posts(posts)
+        url = f"/api/wall/img/{fname}"
+        return JSONResponse({"ok": True, "url": url, "img_id": img_id})
+    except Exception as e:
+        return JSONResponse({"error": f"Lỗi upload ảnh: {str(e)[:150]}"}, status_code=500)
+
+
+@app.get('/api/wall/img/{fname}')
+def api_wall_img_file(fname: str):
+    if '..' in fname or '/' in fname:
+        return Response(status_code=403)
+    img_path = os.path.join(WALL_IMG_DIR, fname)
+    if not os.path.exists(img_path):
+        return Response(status_code=404)
+    ext = os.path.splitext(fname)[1].lower()
+    media_type = 'image/png' if ext == '.png' else ('image/jpeg' if ext in ('.jpg', '.jpeg') else 'image/webp')
+    return FileResponse(img_path, media_type=media_type)
+
+@app.delete('/api/wall/{post_id}')
+def api_wall_delete(post_id: str):
+    posts = _load_wall_posts()
+    if not isinstance(posts, list):
+        return JSONResponse({"error": "No posts"}, status_code=404)
+    for i, p in enumerate(posts):
+        if p.get('id') == post_id:
+            if p.get('video'):
+                video_name = p['video'].split('/')[-1]
+                video_path = os.path.join(WALL_VIDEO_DIR, video_name)
+                if os.path.exists(video_path):
+                    os.remove(video_path)
+            posts.pop(i)
+            _save_wall_posts(posts)
+            return JSONResponse({"ok": True})
+    return JSONResponse({"error": "Post not found"}, status_code=404)
+
+# ===== LANGUAGE & EMOTION DETECTION =====
+import random as _random2
+from urllib.parse import quote as _quote2
+
+_UA_RW = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36', 'Accept-Language': 'vi-VN,vi;q=0.9'}
+
+# Unique character markers for language detection
+_UNIQUE_CHARS = {
+    'vietnamese': set('đăâêôơưàảãạáằẳẵặắầẩẫậấèẻẽẹéềễểệếìỉĩịíòỏõọóồổỗộốờởỡợớùủũụúừửữựứỳỷỹỵý'),
+    'spanish': set('ñáéíóúü¿¡'),
+    'portuguese': set('ãõçáéíóúâêôà'),
+}
+
+_STOPWORDS = {
+    'english': {'the', 'is', 'at', 'which', 'on', 'a', 'an', 'and', 'or', 'but', 'in', 'with', 'to', 'for', 'of', 'not', 'no', 'can', 'had', 'have', 'has', 'was', 'were', 'are', 'be', 'been', 'this', 'that', 'it', 'he', 'she', 'they', 'his', 'her', 'my', 'your', 'our', 'we', 'you', 'i'},
+    'vietnamese': {'là', 'của', 'và', 'có', 'được', 'cho', 'không', 'với', 'này', 'đó', 'từ', 'trong', 'đã', 'sẽ', 'một', 'các', 'những', 'về', 'tại', 'người', 'năm', 'đến', 'ra', 'lại', 'như', 'khi', 'để', 'rất', 'cũng', 'mà', 'nếu', 'sau', 'trên', 'theo', 'vì', 'do', 'nên', 'thì', 'mình', 'tôi', 'bạn', 'anh', 'chị', 'em'},
+    'portuguese': {'de', 'um', 'que', 'e', 'do', 'da', 'em', 'para', 'com', 'não', 'uma', 'os', 'no', 'se', 'na', 'por', 'mais', 'as', 'dos', 'como', 'mas', 'ao', 'ele', 'das', 'tem', 'seu', 'sua', 'ou', 'quando', 'muito', 'nos', 'já', 'eu', 'também', 'só', 'pelo', 'pela', 'até', 'isso', 'ela', 'entre', 'depois', 'sem', 'mesmo', 'aos', 'são', 'está', 'ter', 'ser', 'foi', 'era', 'há', 'estão', 'você', 'nós', 'eles', 'elas'},
+    'spanish': {'de', 'que', 'el', 'en', 'y', 'a', 'los', 'del', 'se', 'las', 'por', 'un', 'para', 'con', 'no', 'una', 'su', 'al', 'es', 'lo', 'como', 'más', 'pero', 'sus', 'le', 'ya', 'o', 'fue', 'este', 'ha', 'si', 'porque', 'esta', 'son', 'entre', 'está', 'cuando', 'muy', 'sin', 'sobre', 'ser', 'también', 'me', 'hasta', 'hay', 'donde', 'han', 'quien', 'están', 'desde', 'todo', 'nos', 'durante', 'todos', 'uno', 'les', 'ni', 'contra', 'otros', 'fueron', 'ese', 'eso', 'ante', 'ellos', 'yo', 'tú', 'él', 'ella', 'nosotros', 'usted', 'ustedes'},
+}
+
+def detect_language(text):
+    """Detect language from text content using stopword + character analysis."""
+    if not text:
+        return 'vietnamese'
+    text_lower = text.lower()
+    text_chars = set(text_lower)
+    
+    # Strong signal: Vietnamese unique characters
+    vn_chars = len(text_chars & _UNIQUE_CHARS['vietnamese'])
+    if vn_chars >= 2:
+        return 'vietnamese'
+    
+    # Spanish unique chars (ñ, ¿, ¡)
+    es_chars = len(text_chars & _UNIQUE_CHARS['spanish'])
+    pt_chars = len(text_chars & _UNIQUE_CHARS['portuguese'])
+    
+    # Stopword scoring
+    words = set(re.findall(r'\b\w+\b', text_lower))
+    scores = {}
+    for lang, stops in _STOPWORDS.items():
+        scores[lang] = len(words & stops) / max(len(stops), 1)
+    
+    # Disambiguate Portuguese vs Spanish
+    pt_markers = {'não', 'pelo', 'pela', 'isso', 'há', 'estão', 'num', 'numa', 'tenho', 'posso', 'você', 'nós', 'eles', 'elas', 'também', 'muito', 'já', 'só', 'até', 'entre', 'depois', 'sem', 'mesmo', 'aos', 'serão'}
+    es_markers = {'pero', 'está', 'están', 'porque', 'también', 'hasta', 'donde', 'quien', 'fue', 'son', 'fueron', 'ese', 'eso', 'ante', 'ellos', 'ella', 'nosotros', 'usted', 'ustedes', 'tú', 'él', 'desde', 'todo', 'durante', 'todos', 'uno', 'les', 'ni', 'contra', 'otros', 'fueron'}
+    
+    pt_overlap = len(words & pt_markers)
+    es_overlap = len(words & es_markers)
+    
+    if scores.get('portuguese', 0) > 0 and pt_overlap > es_overlap:
+        return 'portuguese'
+    if scores.get('spanish', 0) > 0 and es_overlap > pt_overlap:
+        return 'spanish'
+    if scores.get('english', 0) > 0.15:
+        return 'english'
+    
+    best = max(scores, key=scores.get)
+    return best if scores[best] > 0.05 else 'vietnamese'
+
+# Emotion keyword-based detection
+_EMOTION_KEYWORDS = {
+    'happy': {
+        'en': ['happy', 'joy', 'wonderful', 'great', 'amazing', 'fantastic', 'love', 'excellent', 'beautiful', 'glad', 'delighted', 'pleased', 'cheerful', 'celebrate', 'victory', 'win', 'success'],
+        'pt': ['feliz', 'alegria', 'maravilhoso', 'ótimo', 'incrível', 'fantástico', 'amor', 'excelente', 'lindo', 'contente', 'encantado', 'vitória', 'sucesso'],
+        'es': ['feliz', 'alegria', 'maravilloso', 'genial', 'increíble', 'fantástico', 'amor', 'excelente', 'hermoso', 'contento', 'encantado', 'victoria', 'éxito'],
+        'vi': ['vui', 'hạnh phúc', 'tuyệt vời', 'tuyệt', 'ý nghĩa', 'đẹp', 'thích', 'yêu', 'vui vẻ', 'hân hoan', 'phấn khích', 'chiến thắng', 'thành công'],
+    },
+    'sad': {
+        'en': ['sad', 'unhappy', 'terrible', 'awful', 'horrible', 'miserable', 'depressed', 'grief', 'sorrow', 'tragic', 'unfortunate', 'painful', 'death', 'die', 'kill'],
+        'pt': ['triste', 'infeliz', 'terrível', 'horrível', 'miserável', 'deprimido', 'dor', 'trágico', 'infelizmente', 'penoso', 'morte', 'morrer'],
+        'es': ['triste', 'infeliz', 'terrible', 'horrible', 'miserable', 'deprimido', 'dolor', 'trágico', 'desafortunado', 'penoso', 'muerte', 'morir'],
+        'vi': ['buồn', 'không vui', 'tồi tệ', 'kinh khủng', 'đau khổ', 'đau buồn', 'bi thương', 'khốn nạn', 'đau đớn', 'thảm họa', 'chết', 'mất'],
+    },
+    'excited': {
+        'en': ['excited', 'thrilling', 'amazing', 'wow', 'incredible', 'unbelievable', 'awesome', 'exhilarating', 'electrifying', 'breathtaking', 'breakthrough', 'record'],
+        'pt': ['animado', 'emocionante', 'incrível', 'impressionante', 'sensacional', 'eletrizante', 'empolgante', 'recorde'],
+        'es': ['emocionante', 'increíble', 'impresionante', 'sensacional', 'electrizante', 'emocionado', 'entusiasmado', 'récord'],
+        'vi': ['hào hứng', 'phấn khích', 'thú vị', 'tuyệt cú mèo', 'đỉnh cao', 'ngoạn mục', 'sục sôi', 'kỷ lục', 'đột phá'],
+    },
+    'humorous': {
+        'en': ['funny', 'hilarious', 'joke', 'laugh', 'comedy', 'humor', 'amusing', 'witty', 'sarcastic', 'ironic', 'ridiculous', 'absurd', 'lol', 'haha'],
+        'pt': ['engraçado', 'hilário', 'piada', 'rir', 'comédia', 'humor', 'divertido', 'irônico', 'ridículo', 'absurdo', 'kkk'],
+        'es': ['gracioso', 'hilarante', 'broma', 'risa', 'comedia', 'humor', 'divertido', 'irónico', 'ridículo', 'absurdo', 'jaja'],
+        'vi': ['hài hước', 'buồn cười', 'đùa', 'cười', 'hài', 'vui nhộn', 'hóm hỉnh', 'mỉa mai', 'lố bịch', 'vô lý', 'haha'],
+    },
+    'serious': {
+        'en': ['serious', 'critical', 'important', 'urgent', 'severe', 'grave', 'significant', 'crucial', 'vital', 'essential', 'alarming', 'concerning', 'crisis', 'war', 'conflict'],
+        'pt': ['sério', 'crítico', 'importante', 'urgente', 'grave', 'significativo', 'crucial', 'vital', 'essencial', 'preocupante', 'crise', 'guerra', 'conflito'],
+        'es': ['serio', 'crítico', 'importante', 'urgente', 'grave', 'significativo', 'crucial', 'vital', 'esencial', 'preocupante', 'crisis', 'guerra', 'conflicto'],
+        'vi': ['nghiêm trọng', 'quan trọng', 'khẩn cấp', 'nghiêm túc', 'đáng kể', 'thiết yếu', 'cần thiết', 'báo động', 'lo ngại', 'khủng hoảng', 'chiến tranh', 'xung đột'],
+    },
+}
+
+def detect_emotion(text, language='vietnamese'):
+    """Detect emotion from text using keyword matching."""
+    if not text:
+        return 'neutral'
+    text_lower = text.lower()
+    
+    scores = {}
+    for emotion, lang_keywords in _EMOTION_KEYWORDS.items():
+        keywords = lang_keywords.get(language, lang_keywords.get('en', []))
+        score = sum(1 for kw in keywords if kw in text_lower)
+        scores[emotion] = score
+    
+    if max(scores.values()) == 0:
+        return 'neutral'
+    
+    return max(scores, key=scores.get)
+
+def detect_language_and_emotion(title, text):
+    """Detect both language and emotion from article content."""
+    combined = f"{title} {text}"
+    lang = detect_language(combined)
+    emotion = detect_emotion(combined, lang)
+    return lang, emotion
+
+# Voice selection based on language and emotion (using MultilingualNeural voices)
+VOICE_BY_LANG_EMOTION = {
+    'vietnamese': {
+        'happy': ('vi-VN-HoaiMyNeural', 'vui'),
+        'sad': ('vi-VN-NamMinhNeural', 'buồn'),
+        'excited': ('vi-VN-HoaiMyNeural', 'hào hứng'),
+        'humorous': ('vi-VN-HoaiMyNeural', 'vui'),
+        'serious': ('vi-VN-NamMinhNeural', 'nghiêm túc'),
+        'neutral': ('vi-VN-HoaiMyNeural', 'trung_tinh'),
+    },
+    'portuguese': {
+        'happy': ('pt-BR-ThalitaMultilingualNeural', 'feliz'),
+        'sad': ('pt-BR-ThalitaMultilingualNeural', 'triste'),
+        'excited': ('pt-BR-ThalitaMultilingualNeural', 'animado'),
+        'humorous': ('pt-BR-ThalitaMultilingualNeural', 'engraçado'),
+        'serious': ('pt-BR-ThalitaMultilingualNeural', 'sério'),
+        'neutral': ('pt-BR-ThalitaMultilingualNeural', 'neutro'),
+    },
+    'english': {
+        'happy': ('en-US-AndrewMultilingualNeural', 'happy'),
+        'sad': ('en-AU-WilliamMultilingualNeural', 'sad'),
+        'excited': ('en-US-AndrewMultilingualNeural', 'excited'),
+        'humorous': ('en-US-AndrewMultilingualNeural', 'funny'),
+        'serious': ('en-AU-WilliamMultilingualNeural', 'serious'),
+        'neutral': ('en-US-AndrewMultilingualNeural', 'neutral'),
+    },
+    'french': {
+        'happy': ('fr-FR-VivienneMultilingualNeural', 'heureux'),
+        'sad': ('fr-FR-RemyMultilingualNeural', 'triste'),
+        'excited': ('fr-FR-VivienneMultilingualNeural', 'excité'),
+        'humorous': ('fr-FR-VivienneMultilingualNeural', 'drôle'),
+        'serious': ('fr-FR-RemyMultilingualNeural', 'sérieux'),
+        'neutral': ('fr-FR-VivienneMultilingualNeural', 'neutre'),
+    },
+    'german': {
+        'happy': ('de-DE-SeraphinaMultilingualNeural', 'glücklich'),
+        'sad': ('de-DE-FlorianMultilingualNeural', 'traurig'),
+        'excited': ('de-DE-SeraphinaMultilingualNeural', 'aufgeregt'),
+        'humorous': ('de-DE-SeraphinaMultilingualNeural', 'lustig'),
+        'serious': ('de-DE-FlorianMultilingualNeural', 'ernst'),
+        'neutral': ('de-DE-SeraphinaMultilingualNeural', 'neutral'),
+    },
+    'korean': {
+        'happy': ('ko-KR-HyunsuMultilingualNeural', '행복'),
+        'sad': ('ko-KR-HyunsuMultilingualNeural', '슬픔'),
+        'excited': ('ko-KR-HyunsuMultilingualNeural', '흥분'),
+        'humorous': ('ko-KR-HyunsuMultilingualNeural', '유쾌'),
+        'serious': ('ko-KR-HyunsuMultilingualNeural', '진지'),
+        'neutral': ('ko-KR-HyunsuMultilingualNeural', '중립'),
+    },
+    'italian': {
+        'happy': ('it-IT-GiuseppeMultilingualNeural', 'felice'),
+        'sad': ('it-IT-GiuseppeMultilingualNeural', 'triste'),
+        'excited': ('it-IT-GiuseppeMultilingualNeural', 'emozionato'),
+        'humorous': ('it-IT-GiuseppeMultilingualNeural', 'divertente'),
+        'serious': ('it-IT-GiuseppeMultilingualNeural', 'serio'),
+        'neutral': ('it-IT-GiuseppeMultilingualNeural', 'neutro'),
+    },
+}
+
+# All valid voice IDs (new MultilingualNeural format)
+VALID_VOICES = {
+    'vi-VN-HoaiMyNeural', 'vi-VN-NamMinhNeural',
+    'en-US-AndrewMultilingualNeural', 'en-AU-WilliamMultilingualNeural',
+    'pt-BR-ThalitaMultilingualNeural',
+    'fr-FR-VivienneMultilingualNeural', 'fr-FR-RemyMultilingualNeural',
+    'de-DE-SeraphinaMultilingualNeural', 'de-DE-FlorianMultilingualNeural',
+    'ko-KR-HyunsuMultilingualNeural',
+    'it-IT-GiuseppeMultilingualNeural',
+}
+
+def get_voice_for_content(title, text, preferred_voice=None):
+    """Get appropriate voice based on content language and emotion."""
+    # Accept the new MultilingualNeural voices directly
+    if preferred_voice and preferred_voice in VALID_VOICES:
+        return preferred_voice
+    
+    # Also accept old shorthand voice IDs and map them to new format
+    old_voice_map = {
+        'hoaimy': 'vi-VN-HoaiMyNeural',
+        'namminh': 'vi-VN-NamMinhNeural',
+        'andrew': 'en-US-AndrewMultilingualNeural',
+        'jenny': 'en-US-AndrewMultilingualNeural',
+        'thalita': 'pt-BR-ThalitaMultilingualNeural',
+        'pt_thalita': 'pt-BR-ThalitaMultilingualNeural',
+        'pt_francisco': 'pt-BR-ThalitaMultilingualNeural',
+        'ela': 'en-US-AndrewMultilingualNeural',
+        'es_carlos': 'en-US-AndrewMultilingualNeural',
+        'denise': 'fr-FR-VivienneMultilingualNeural',
+        'katja': 'de-DE-SeraphinaMultilingualNeural',
+        'nanami': 'en-US-AndrewMultilingualNeural',
+        'sunhee': 'ko-KR-HyunsuMultilingualNeural',
+        'xiaochen': 'en-US-AndrewMultilingualNeural',
+    }
+    if preferred_voice and preferred_voice in old_voice_map:
+        return old_voice_map[preferred_voice]
+    
+    lang, emotion = detect_language_and_emotion(title, text)
+    lang_map = VOICE_BY_LANG_EMOTION.get(lang, VOICE_BY_LANG_EMOTION['vietnamese'])
+    voice, _ = lang_map.get(emotion, lang_map['neutral'])
+    return voice
+
+
+def _is_relevant_image(img_url, title, text):
+    """Check if an image is relevant to the article content."""
+    if not img_url:
+        return False
+    skip_patterns = ['pixel', 'analytics', 'tracking', '1x1.gif', 'spacer.gif',
+                     'logo', 'icon', 'avatar', 'emoji', 'smiley', 'sprite',
+                     'advertisement', 'ad-banner', 'sponsored', 'banner-ads']
+    img_lower = img_url.lower()
+    for p in skip_patterns:
+        if p in img_lower:
+            return False
+    if not any(img_lower.endswith(ext) for ext in ['.jpg', '.jpeg', '.png', '.webp', '.gif']):
+        return False
+    return True
+
+
+def _filter_relevant_images(images, title, text, max_images=8):
+    """Filter and rank images by relevance to article content."""
+    if not images:
+        return []
+    seen = set()
+    relevant = []
+    for img in images:
+        if img in seen:
+            continue
+        seen.add(img)
+        if _is_relevant_image(img, title, text):
+            relevant.append(img)
+    return relevant[:max_images]
+
+
+def _scrape_article_for_rewrite(url):
+    """Scrape article: extract title, paragraphs, RELEVANT images, OG image."""
+    try:
+        r = req.get(url, headers=_UA_RW, timeout=15, allow_redirects=True)
+        r.encoding = 'utf-8'
+        soup = BeautifulSoup(r.text, 'lxml')
+        for tag in soup.find_all(['script', 'style', 'nav', 'footer', 'aside', 'form']):
+            tag.decompose()
+        h1 = soup.find('h1')
+        ogt = soup.find('meta', property='og:title')
+        title = (h1.get_text(strip=True) if h1 else '') or (ogt.get('content', '') if ogt else '')
+        ogi = soup.find('meta', property='og:image')
+        og_img = ogi.get('content', '') if ogi else ''
+        if og_img and og_img.startswith('//'):
+            og_img = 'https:' + og_img
+        block = None
+        for sel in ['article', '.singular-content', '.detail-content', '.fck_detail', '.content-detail', '.knc-content', 'main', '.cms-body', '.article__body']:
+            el = soup.select_one(sel)
+            if el and len(el.find_all('p')) >= 2:
+                block = el
+                break
+        if not block:
+            block = soup.body or soup
+        paragraphs = []
+        all_images = []
+        seen_imgs = set()
+        if og_img and og_img not in seen_imgs:
+            all_images.append(og_img)
+            seen_imgs.add(og_img)
+        for el in block.find_all(['p', 'h2', 'h3', 'figure', 'img'], recursive=True):
+            if el.name == 'p':
+                t = _clean(el.get_text(strip=True))
+                if t and len(t) > 40:
+                    paragraphs.append(t)
+            elif el.name in ('figure', 'img'):
+                im = el if el.name == 'img' else el.find('img')
+                if im:
+                    src = im.get('data-src') or im.get('src') or im.get('data-original') or ''
+                    if src and 'base64' not in src:
+                        if src.startswith('//'):
+                            src = 'https:' + src
+                        if src not in seen_imgs:
+                            all_images.append(src)
+                            seen_imgs.add(src)
+        # Filter to relevant images only
+        relevant_images = _filter_relevant_images(all_images, title, ' '.join(paragraphs[:5]))
+        return {'title': _clean(title), 'paragraphs': paragraphs, 'images': relevant_images, 'og_img': og_img}
+    except Exception:
+        return None
+
+
+def _extract_key_points_rw(paragraphs, max_points=5):
+    r"""Extract key points from paragraphs - extracts ALL sentences, not just first one.
+    
+    Fixes: Original regex `^(.+?[.!?])\s` only captured first sentence per paragraph.
+    Now splits on all sentence boundaries and takes valid sentences until max_points.
+    """
+    points = []
+    
+    for p in paragraphs:
+        if len(points) >= max_points:
+            break
+        
+        p = _clean(p)
+        if not p:
+            continue
+        
+        # Split paragraph into sentences using Vietnamese + English punctuation
+        sentences = re.split(r'(?<=[.!?])\s+(?=[A-ZÀ-Ỹ0-9])', p)
+        sentences = [s.strip() for s in sentences if s.strip()]
+        
+        for sentence in sentences:
+            if len(points) >= max_points:
+                break
+            
+            # Clean sentence - remove extra whitespace
+            sentence = _clean(sentence)
+            
+            if len(sentence) < 30:
+                continue
+            
+            # Check for duplicates
+            if any(sentence[:60] in existing for existing in points):
+                continue
+            
+            # Ensure sentence ends with punctuation
+            if not sentence.endswith(('.', '!', '?')):
+                sentence = sentence + '.'
+            
+            points.append(sentence)
+    
+    # If no valid sentences found, take chunks from raw text
+    if not points:
+        raw = '\n'.join(paragraphs)
+        for i in range(0, min(len(raw), max_points * 300), 280):
+            chunk = _clean(raw[i:i+280])
+            if len(chunk) >= 30 and chunk not in points:
+                points.append(chunk + ('.' if not chunk.endswith('.') else ''))
+            if len(points) >= max_points:
+                break
+    
+    return points
+
+
+@app.post("/api/rewrite_slide")
+async def api_rewrite_slide(request: Request):
+    """Fast rewrite as SLIDES - no AI needed, instant response."""
+    body = await request.json()
+    url = _clean(body.get("url", ""))
+    context = body.get("context", "")
+    preferred_voice = body.get("voice", "")  # Accept custom voice selection
+    if not url and not context:
+        return JSONResponse({"error": "Cần URL hoặc nội dung"}, status_code=400)
+    data = None
+    if url and url.startswith("http"):
+        data = _scrape_article_for_rewrite(url)
+    if not data and context:
+        paragraphs = [_clean(p) for p in context.split('\n') if len(_clean(p)) > 40]
+        data = {'title': paragraphs[0][:80] if paragraphs else 'Bài viết', 'paragraphs': paragraphs, 'images': [], 'og_img': ''}
+    if not data or not data.get('paragraphs'):
+        return JSONResponse({"error": "Không đọc được bài viết"}, status_code=422)
+    points = _extract_key_points_rw(data['paragraphs'], max_points=12)
+    if not points:
+        return JSONResponse({"error": "Không tìm được ý chính"}, status_code=422)
+    images = data.get('images', [])
+    slides = []
+    for i, point in enumerate(points):
+        img = images[i] if i < len(images) else (images[-1] if images else '')
+        if img and 'cdnphoto.dantri' in img:
+            img = '/api/proxy/img?url=' + _quote2(img, safe='')
+        slides.append({'text': point, 'image': img, 'index': i + 1})
+    summary_text = '\n\n'.join([f"• {s['text']}" for s in slides])
+    
+    # Auto-detect language and emotion
+    lang, emotion = detect_language_and_emotion(data['title'], summary_text)
+    # Use preferred voice if provided, otherwise auto-detect
+    voice = preferred_voice if preferred_voice else get_voice_for_content(data['title'], summary_text)
+    
+    post = {
+        "id": str(int(time.time() * 1000)) + str(_random2.randint(100, 999)),
+        "title": data['title'],
+        "text": summary_text,
+        "img": images[0] if images else '',
+        "url": url,
+        "kind": "slide_summary",
+        "slides": slides,
+        "images": images[:10],
+        "video": "",
+        "voice": voice,
+        "emotion": emotion,
+        "language": lang,
+        "ts": int(time.time())
+    }
+    posts = _load_wall_posts()
+    posts.insert(0, post)
+    _save_wall_posts(posts)
+    return JSONResponse({"post": post, "slides": slides})
+
+
+@app.post("/api/rewrite_share")
+async def api_rewrite_share(request: Request):
+    """Rewrite article and post to Tường AI with SLIDES + AI text."""
+    body = await request.json()
+    url = _clean(body.get("url", ""))
+    ctx = _clean(body.get("context", ""))
+    preferred_voice = body.get("voice", "")  # Accept custom voice selection
+    if not url and not ctx:
+        return JSONResponse({"error": "Cần URL hoặc nội dung"}, status_code=400)
+    data = None
+    if url and url.startswith("http"):
+        data = _scrape_article_for_rewrite(url)
+    if not data and ctx:
+        paragraphs = [_clean(p) for p in ctx.split('\n') if len(_clean(p)) > 40]
+        data = {'title': paragraphs[0][:80] if paragraphs else 'Bài viết', 'paragraphs': paragraphs, 'images': [], 'og_img': ''}
+    if not data or not data.get('paragraphs'):
+        return JSONResponse({"error": "Không đọc được bài viết"}, status_code=422)
+    raw_text = '\n'.join(data['paragraphs'])
+    if len(raw_text) < 50:
+        raw_text = ctx[:14000]
+    if len(raw_text) < 50:
+        return JSONResponse({"error": "Bài viết quá ngắn"}, status_code=422)
+    domain = ''
+    try:
+        from urllib.parse import urlparse
+        domain = urlparse(url).netloc.replace('www.', '')
+    except:
+        pass
+    
+    # Generate AI summary text
+    ai_text = None
+    try:
+        import ai_ext
+        if hasattr(ai_ext, 'qwen_generate'):
+            prompt = f'Tóm tắt đăng Tường AI:\nTiêu đề: {data["title"]}\n{raw_text[:14000]}\n\n4-6 ý chính. Cuối ghi nguồn.'
+            ai_text = await ai_ext.qwen_generate(prompt, max_tokens=1000)
+    except Exception:
+        pass
+    if not ai_text or len(ai_text) < 80:
+        key_pts = _extract_key_points_rw(data['paragraphs'], max_points=12)
+        if key_pts:
+            ai_text = '\n\n'.join([f"• {p}" for p in key_pts])
+        else:
+            ai_text = f"Tóm tắt: {data['title']}\n\n{raw_text[:1200]}\n\nNguồn: {domain}"
+    
+    # Build slides from key points (FIX: include slides in rewrite_share too!)
+    points = _extract_key_points_rw(data['paragraphs'], max_points=12)
+    images = data.get('images', [])
+    slides = []
+    for i, point in enumerate(points):
+        img = images[i] if i < len(images) else (images[-1] if images else '')
+        if img and 'cdnphoto.dantri' in img:
+            img = '/api/proxy/img?url=' + _quote2(img, safe='')
+        slides.append({'text': point, 'image': img, 'index': i + 1})
+    
+    # Auto-detect language and emotion
+    lang, emotion = detect_language_and_emotion(data['title'], ai_text)
+    # Use preferred voice if provided, otherwise auto-detect
+    voice = preferred_voice if preferred_voice else get_voice_for_content(data['title'], ai_text)
+    
+    post = {
+        "id": str(int(time.time() * 1000)) + str(_random2.randint(100, 999)),
+        "title": data['title'],
+        "text": ai_text,
+        "img": images[0] if images else '',
+        "url": url,
+        "kind": "rewrite",
+        "slides": slides,
+        "images": images[:10],
+        "video": "",
+        "voice": voice,
+        "emotion": emotion,
+        "language": lang,
+        "ts": int(time.time())
+    }
+    posts = _load_wall_posts()
+    posts.insert(0, post)
+    _save_wall_posts(posts)
+    return JSONResponse({"post": post, "slides": slides})
+
+
+@app.post("/api/url_wall")
+async def api_url_wall(request: Request):
+    """Submit URL to add to Tường AI."""
+    body = await request.json()
+    url = _clean(body.get("url", ""))
+    if not url or not url.startswith('http'):
+        return JSONResponse({"error": "URL không hợp lệ"}, status_code=400)
+    # Reuse rewrite_share logic
+    req._body = json.dumps({"url": url}).encode()
+    return await api_rewrite_share(request)
+
+
+# ===== PERSONAL OPINION POST v2: AI tổng hợp bài viết từ quan điểm + nguồn tin HOT =====
+
+# ===== KEYWORD EXTRACTION FROM OPINION =====
+_STOP_WORDS_EX = set("""
+và của các những một được trong với cho tại sau trước khi không người 
+việt nam hôm nay mới nhất nóng tin tức cập nhật theo từ đến là có thì 
+này đã để về lại nên cũng rất như vì do nếu sẽ nếu thế nhưng mà vẫn 
+đang vào ra hơn đây đó nào cả cùng đã từng hãy còn chỉ cũng đều khiến 
+được đã bị bởi qua những lúc cái gì cô chú bác anh chị em bạn tôi mình 
+ông bà thầy vì vậy chính phải ấy đấy đâu đó thôi nhé đấy ạ nhỉ 
+ngày tháng năm giờ phút giây tuần tháng quý
+""".strip().split())
+
+def _extract_keywords_from_opinion(text, max_keywords=5):
+    """Extract meaningful keywords from user's opinion for news search."""
+    if not text:
+        return []
+    text = text.lower()
+    text = re.sub(r'https?://\S+', '', text)
+    text = re.sub(r'[^\w\sÀ-ỹ]', ' ', text)
+    text = re.sub(r'\s+', ' ', text).strip()
+    words = [w for w in text.split() if len(w) > 2 and w not in _STOP_WORDS_EX]
+    word_scores = {}
+    for w in words:
+        word_scores[w] = word_scores.get(w, 0) + 1
+    sorted_words = sorted(word_scores.items(), key=lambda x: -x[1])
+    top_words = [w for w, s in sorted_words[:max_keywords]]
+    phrases = []
+    for i in range(len(words) - 1):
+        phrase = words[i] + ' ' + words[i + 1]
+        if len(phrase) > 5:
+            phrases.append(phrase)
+    phrase_scores = {}
+    for p in phrases:
+        phrase_scores[p] = phrase_scores.get(p, 0) + 1
+    sorted_phrases = sorted(phrase_scores.items(), key=lambda x: -x[1])
+    top_phrases = [p for p, s in sorted_phrases[:3]]
+    result = []
+    for p in top_phrases:
+        if p not in result:
+            result.append(p)
+    for w in top_words:
+        if w not in result:
+            result.append(w)
+    return result[:max_keywords]
+
+
+@app.post("/api/personal_post/preview")
+async def api_personal_post_preview(request: Request):
+    """Preview personal post: fetch full articles, let AI compose logical article with images."""
+    body = await request.json()
+    opinion = _clean(body.get("opinion", ""))
+    selected_topics = body.get("selected_topics", []) or []
+    selected_sources = body.get("selected_sources", []) or []
+    
+    if not opinion or len(opinion) < 10:
+        return JSONResponse({"error": "Quan điểm cá nhân quá ngắn (cần ít nhất 10 ký tự)"}, status_code=400)
+    
+    # Lấy keywords từ QUAN ĐIỂM CÁ NHÂN để tìm nguồn tin chính xác
+    keywords = _extract_keywords_from_opinion(opinion, max_keywords=5)
+    if keywords:
+        selected_topics = keywords[:3]
+    else:
+        # Fallback: hot topics
+        hot = _get_hot_topics()
+        selected_topics = [t.get("topic", "") for t in hot[:3] if t.get("topic")]
+    
+    # Tìm nguồn tin
+    all_sources = []
+    seen_urls = set()
+    for topic in selected_topics[:3]:
+        sources = _search_all(topic, limit=5)
+        for s in sources:
+            if s.get("url") and s["url"] not in seen_urls:
+                seen_urls.add(s["url"])
+                all_sources.append(s)
+                if len(all_sources) >= 6:
+                    break
+        if len(all_sources) >= 6:
+            break
+    
+    for src in selected_sources:
+        if src.get("url") and src["url"] not in seen_urls:
+            all_sources.insert(0, src)
+    
+    # Scrape nội dung đầy đủ từng nguồn (paragraphs + images)
+    source_details = []
+    source_images = []
+    for src in all_sources[:5]:
+        url = src.get("url", "")
+        if not url:
+            continue
+        try:
+            art = _scrape_article_for_rewrite(url)
+            if art:
+                src_detail = {
+                    "title": art.get("title", src.get("title", "")),
+                    "url": url,
+                    "via": src.get("via", ""),
+                    "paragraphs": art.get("paragraphs", [])[:8],
+                    "images": art.get("images", [])[:3],
+                    "og_image": art.get("og_img", "")
+                }
+                source_details.append(src_detail)
+                # Collect images for proxy
+                for img in art.get("images", [])[:2]:
+                    if any(x in img for x in ["cdnphoto.dantri", "vnexpress", "vcdn", "refooty"]):
+                        img = "/api/proxy/img?url=" + _quote2(img, safe="")
+                    source_images.append(img)
+        except:
+            pass
+        if len(source_details) >= 5:
+            break
+    
+    # Tạo title từ opinion
+    opinion_words = re.findall(r"[A-Za-zÀ-ỹ0-9]+", opinion)
+    title_words = opinion_words[:8] if len(opinion_words) >= 8 else opinion_words[:4]
+    title = " ".join([w[0].upper() + w[1:] for w in title_words]) if title_words else "Quan điểm cá nhân"
+    title = title[:80]
+    
+    # AI sinh bài viết hoàn chỉnh
+    ai_text = None
+    try:
+        import ai_ext
+        if hasattr(ai_ext, 'qwen_generate'):
+            # Build detailed context from source articles
+            source_context = ""
+            for i, sd in enumerate(source_details[:5]):
+                src_title = sd.get("title", "")
+                src_via = sd.get("via", "")
+                src_paras = sd.get("paragraphs", [])
+                source_context += f"\n=== Nguồn {i+1}: {src_title} ({src_via}) ===\n"
+                for j, p in enumerate(src_paras[:4]):
+                    source_context += f"  - {p[:300]}\n"
+            
+            prompt = (
+                "QUAN ĐIỂM: " + opinion[:500] + "\nNGUỒN: " + source_context[:1000] + "\n\n"
+                "=== NGUỒN TIN THAM KHẢO ===\n" + source_context + "\n\n"
+                "=== YÊU CẦU VIẾT BÀI THEO SLIDE ===\n"
+                "Viết bài thành 5-6 ĐOẠN VĂN NGẮN, mỗi đoạn là 1 SLIDE.\n"
+                "\n"
+                "QUAN TRỌNG NHẤT: MỗI SLIDE PHẢI KẾT HỢP QUAN ĐIỂM CÁ NHÂN + NỘI DUNG NGUỒN TIN, KHÔNG PHẢI CHỈ NÓI VỀ NGUỒN TIN.\n"
+                "\n"
+                "SLIDE 1 - MỞ ĐẦU:\n"
+                "- NHIỆN HỮU QUAN ĐIỂM CÁ NHÂN LÊN ĐẦU\n"
+                "- Giới thiệu chủ đề, nêu rõ quan điểm của bạn (dựa vào QUAN ĐIỂM CÁ NHÂN ở trên)\n"
+                "- 2-4 câu hoàn chỉnh\n"
+                "\n"
+                "SLIDE 2-3-4-5 - PHÂN TÍCH:\n"
+                "- Mỗi slide: B�Commencer bằng QUAN ĐIỂM CÁ NHÂN, sau đó dẫn chứng từ 1 nguồn tin\n"
+                "- Ví dụ: \"Theo quan điểm của tôi, đây là vấn đề cần lưu ý. Theo VnExpress...\"\n"
+                "- Dẫn chứng từ nguồn (ghi rõ tên báo: Theo VnExpress, Theo Thanh Niên...)\n"
+                "- 2-4 câu hoàn chỉnh mỗi slide\n"
+                "\n"
+                "SLIDE 6 - KẾT LUẬN:\n"
+                "- Tổng kết quan điểm cá nhân, đưa ra nhận định cuối cùng\n"
+                "- 2-3 câu hoàn chỉnh\n"
+                "\n"
+                "Định dạng đầu ra:\n"
+                "---SLIDE 1---\n"
+                "[nội dung đoạn văn slide 1]\n"
+                "---SLIDE 2---\n"
+                "[nội dung đoạn văn slide 2]\n"
+                "...v.v...\n"
+                "\n"
+                "QUAN TRỌNG:\n"
+                "- Mỗi slide là 1 đoạn văn HOÀN CHỈNH, 2-4 câu\n"
+                "- PHẢI KẾT THÚC BẰNG DẤU CHẤM (.) HOẢN TOÀN\n"
+                "- Kết hợp QUAN ĐIỂM CÁ NHÂN với NỘI DUNG NGUỒN TIN\n"
+                "- Không gạch đầu dòng, không bullet points\n"
+                "- Viết liền mạch tự nhiên, giọng văn báo chí\n"
+                "- Mỗi slide phải khác nhau, không lặp ý\n"
+                "- Độ dài: 300-600 từ"
+            )
+            ai_text = None  # Không dùng AI, để code tự kết hợp opinion + source
+    except:
+        pass
+    
+    if not ai_text or len(ai_text) < 100:
+        # Fallback: build article manually
+        ai_text = "## " + title + "\n\n"
+        ai_text += opinion + "\n\n"
+        for i, sd in enumerate(source_details[:5]):
+            ai_text += "### " + sd.get("title", f"Nguồn {i+1}") + "\n"
+            for p in sd.get("paragraphs", [])[:3]:
+                ai_text += p[:250] + "\n"
+            ai_text += "*Nguồn: " + sd.get("via", "") + "*\n\n"
+        ai_text += "\n---\n*Bài viết tổng hợp từ quan điểm cá nhân và các nguồn tin liên quan*"
+    
+    # Parse slides từ AI output (format: ---SLIDE N--- content)
+    slides = []
+    if ai_text:
+        # Try to parse the ---SLIDE--- format
+        pattern = r'---SLIDE\s*(\d+)---\s*\n(.*?)(?=---SLIDE|\Z)'
+        matches = re.findall(pattern, ai_text, re.DOTALL)
+        
+        if matches:
+            for idx, (num, content) in enumerate(matches):
+                # Normalize: ensure complete sentences
+                text = _ensure_sentence_complete(content)
+                if len(text) > 40:
+                    img = source_images[idx] if idx < len(source_images) else ""
+                    slides.append({"text": text, "image": img, "index": idx + 1})
+        
+        # If we have parsed slides, ensure minimum 3
+        if len(slides) < 3:
+            # Use parsed slides as base, fill remaining from AI text
+            used_indices = set()
+            for s in slides:
+                used_indices.add(s['index'] - 1)
+            
+            # Split remaining AI text into more slides
+            sentences = re.split(r'(?<=[.!?])\s+', ai_text)
+            current_chunk = ""
+            next_idx = len(slides)
+            
+            for sent in sentences:
+                sent = _ensure_sentence_complete(sent)
+                if len(sent) < 20:
+                    continue
+                
+                # Skip if this sentence is already in parsed slides
+                found = False
+                for slide in slides:
+                    if sent[:50] in slide['text']:
+                        found = True
+                        break
+                
+                if found:
+                    continue
+                    
+                if current_chunk and len(current_chunk + " " + sent) <= 380:
+                    current_chunk += " " + sent
+                else:
+                    if len(current_chunk) > 50:
+                        img = source_images[next_idx] if next_idx < len(source_images) else ""
+                        slides.append({"text": current_chunk, "image": img, "index": next_idx + 1})
+                    current_chunk = sent
+                    next_idx += 1
+            
+            # Add final chunk
+            if len(current_chunk) > 50 and next_idx < 6:
+                img = source_images[next_idx] if next_idx < len(source_images) else ""
+                slides.append({"text": current_chunk, "image": img, "index": next_idx + 1})
+    
+    # Ultimate fallback: create slides from opinion + source
+    if len(slides) < 2:
+        slides = []
+        # Slide 1: opinion
+        if opinion and len(opinion) > 20:
+            slides.append({"text": opinion[:450], "image": source_images[0] if source_images else "", "index": 1})
+        
+        # Slide 2-6: from AI text or sources
+        if ai_text:
+            sentences = re.split(r'(?<=[.!?])\s+', ai_text)
+            for i, sent in enumerate(sentences[:5]):
+                text = _ensure_sentence_complete(_clean(sent))
+                if len(text) > 60:
+                    if len(slides) < 6:
+                        img = source_images[len(slides)] if len(slides) < len(source_images) else ""
+                        slides.append({"text": text, "image": img, "index": len(slides) + 1})
+        
+        # Fill remaining with key points from sources - KẾT HỢP VỚI QUAN ĐIỂM CÁ NHÂN
+        src_idx = len(slides)
+        while len(slides) < 4 and src_idx < len(source_details):
+            paragraphs = source_details[src_idx].get("paragraphs", [])
+            src_title = source_details[src_idx].get("title", "")
+            src_via = source_details[src_idx].get("via", "")
+            for p in paragraphs[:2]:
+                if len(p) > 60 and len(slides) < 6:
+                    # Kết hợp opinion với nội dung source
+                    combined = f"Theo góc nhìn của tôi, {opinion[:100]}... Theo {src_via}: {p[:250]}"
+                    img = source_images[len(slides)] if len(slides) < len(source_images) else ""
+                    slides.append({"text": _ensure_sentence_complete(combined), "image": img, "index": len(slides) + 1})
+                    break  # Mỗi nguồn 1 slide
+            src_idx += 1
+        
+        # Final fallback: ensure at least 2-3 slides
+        while len(slides) < 3:
+            idx = len(slides)
+            if idx == 0 and opinion:
+                slides.append({"text": opinion[:400], "image": "", "index": 1})
+            elif ai_text:
+                slides.append({"text": ai_text[idx*300:(idx+1)*300], "image": "", "index": idx + 1})
+            else:
+                slides.append({"text": f"Nguồn tham khảo {idx + 1}", "image": "", "index": idx + 1})
+    
+    preview = {
+        "title": title,
+        "text": ai_text,
+        "opinion": opinion,
+        "images": source_images[:10],
+        "sources": source_details[:5],
+        "slides": slides[:6]  # Max 6 slides
+    }
+    
+    return JSONResponse({"preview": preview})
+
+
+@app.post("/api/personal_post")
+async def api_personal_post(request: Request):
+    """Create and save personal opinion post."""
+    body = await request.json()
+    opinion = _clean(body.get("opinion", ""))
+    selected_topics = body.get("selected_topics", []) or []
+    selected_sources = body.get("selected_sources", []) or []
+    custom_title = body.get("custom_title", "")
+    custom_slides = body.get("custom_slides", [])
+    
+    if not opinion or len(opinion) < 10:
+        return JSONResponse({"error": "Quan điểm cá nhân quá ngắn (cần ít nhất 10 ký tự)"}, status_code=400)
+    
+    if not selected_topics:
+        # Lấy keywords từ QUAN ĐIỂM CÁ NHÂN để tìm nguồn tin chính xác
+        keywords = _extract_keywords_from_opinion(opinion, max_keywords=5)
+        if keywords:
+            selected_topics = keywords[:3]
+        else:
+            hot = _get_hot_topics()
+            selected_topics = [t.get("topic", "") for t in hot[:3] if t.get("topic")]
+    
+    all_sources = []
+    seen_urls = set()
+    for topic in selected_topics[:3]:
+        sources = _search_all(topic, limit=5)
+        for s in sources:
+            if s.get("url") and s["url"] not in seen_urls:
+                seen_urls.add(s["url"])
+                all_sources.append(s)
+                if len(all_sources) >= 6:
+                    break
+        if len(all_sources) >= 6:
+            break
+    
+    for src in selected_sources:
+        if src.get("url") and src["url"] not in seen_urls:
+            all_sources.insert(0, src)
+    
+    source_details = []
+    source_images = []
+    for src in all_sources[:5]:
+        url = src.get("url", "")
+        if not url:
+            continue
+        try:
+            art = _scrape_article_for_rewrite(url)
+            if art:
+                src_detail = {
+                    "title": art.get("title", src.get("title", "")),
+                    "url": url,
+                    "via": src.get("via", ""),
+                    "paragraphs": art.get("paragraphs", [])[:6],
+                    "images": art.get("images", [])[:2],
+                    "og_image": art.get("og_img", "")
+                }
+                source_details.append(src_detail)
+                for img in art.get("images", [])[:2]:
+                    if any(x in img for x in ["cdnphoto.dantri", "vnexpress", "vcdn", "refooty"]):
+                        img = "/api/proxy/img?url=" + _quote2(img, safe="")
+                    source_images.append(img)
+        except:
+            pass
+    
+    # Title
+    if custom_title:
+        title = custom_title[:80]
+    else:
+        opinion_words = re.findall(r"[A-Za-zÀ-ỹ0-9]+", opinion)
+        title_words = opinion_words[:8] if len(opinion_words) >= 8 else opinion_words[:4]
+        title = " ".join([w[0].upper() + w[1:] for w in title_words]) if title_words else "Quan điểm cá nhân"
+        title = title[:80]
+    
+    # AI sinh bài
+    ai_text = None
+    try:
+        import ai_ext
+        if hasattr(ai_ext, 'qwen_generate'):
+            source_context = ""
+            for i, sd in enumerate(source_details[:5]):
+                src_title = sd.get("title", "")
+                src_via = sd.get("via", "")
+                src_paras = sd.get("paragraphs", [])
+                source_context += f"\nNguồn {i+1}: {src_title} ({src_via})\n"
+                for j, p in enumerate(src_paras[:3]):
+                    source_context += f"  - {p[:300]}\n"
+            prompt = (
+                "QUAN ĐIỂM: " + opinion[:500] + "\nNGUỒN: " + source_context[:1000] + "\n\n"
+                "=== NGUỒN TIN ===\n" + source_context + "\n\n"
+                "=== YÊU CẦU VIẾT BÀI THEO SLIDE ===\n"
+                "Viết bài thành 5-6 ĐOẠN VĂN NGẮN, mỗi đoạn là 1 SLIDE.\n"
+                "\n"
+                "SLIDE 1 - MỞ ĐẦU: Giới thiệu chủ đề, nêu quan điểm cá nhân (2-4 câu hoàn chỉnh)\n"
+                "SLIDE 2-3-4-5 - PHÂN TÍCH: Mỗi slide dùng 1 nguồn tin cụ thể, kết hợp quan điểm cá nhân, ghi rõ nguồn (Theo VnExpress...), 2-4 câu hoàn chỉnh, thành 1 đoạn văn hoàn chỉnh\n"
+                "SLIDE 6 - KẾT LUẬN: Tổng kết quan điểm, nhận định cuối cùng (2-3 câu hoàn chỉnh)\n"
+                "\n"
+                "Định dạng:\n"
+                "---SLIDE 1---\n[đoạn văn hoàn chỉnh kết thúc bằng dấu chấm]\n---SLIDE 2---\n[đoạn văn hoàn chỉnh kết thúc bằng dấu chấm]\n...\n"
+                "\n"
+                "QUAN TRỌNG: Mỗi slide là 1 đoạn văn HOÀN CHỈNH, 2-4 câu, PHẢI KẾT THÚC BẰNG DẤU CHẤM (.). Kết hợp QUAN ĐIỂM + NGUỒN TIN. Không gạch đầu dòng. Viết liền mạch. 300-600 từ."
+            )
+            ai_text = None  # Không dùng AI, để code tự kết hợp opinion + source
+    except:
+        pass
+    
+    if not ai_text or len(ai_text) < 100:
+        ai_text = "## " + title + "\n\n" + opinion + "\n\n"
+        for i, sd in enumerate(source_details[:5]):
+            ai_text += "### " + sd.get("title", "") + "\n"
+            for p in sd.get("paragraphs", [])[:2]:
+                ai_text += p[:250] + "\n"
+            ai_text += "\n---\n*Nguồn: " + sd.get("via", "") + "*\n\n"
+    
+    # Tạo slides
+    if custom_slides and len(custom_slides) > 0:
+        slides = []
+        for i, slide in enumerate(custom_slides):
+            slides.append({
+                "text": slide.get("text", ""),
+                "image": slide.get("image", ""),
+                "index": i + 1
+            })
+    else:
+        slides = []
+        # Parse từ AI output (format: ---SLIDE N---)
+        if ai_text:
+            pattern = r'---SLIDE\s*(\d+)---\s*\n(.*?)(?=---SLIDE|\Z)'
+            matches = re.findall(pattern, ai_text, re.DOTALL)
+            if matches:
+                for idx, (num, content) in enumerate(matches):
+                    # Normalize: ensure complete sentences
+                    text = _ensure_sentence_complete(content)
+                    if len(text) > 30:
+                        img = source_images[idx] if idx < len(source_images) else ""
+                        slides.append({"text": text, "image": img, "index": idx + 1})
+            
+            # Fallback: split by paragraphs
+            if len(slides) < 3:
+                paragraphs = [p.strip() for p in re.split(r'\n\n+', ai_text) if p.strip()]
+                slides = []
+                para_count = 0
+                for p in paragraphs:
+                    p = p.strip()
+                    if p.startswith('#') or p.startswith('---') or p.startswith('*Nguồn'):
+                        continue
+                    # Normalize: ensure complete sentences
+                    p_normalized = _ensure_sentence_complete(p)
+                    if len(p_normalized) > 50:
+                        img = source_images[para_count] if para_count < len(source_images) else ""
+                        slides.append({"text": p_normalized, "image": img, "index": para_count + 1})
+                        para_count += 1
+                        if para_count >= 6:
+                            break
+        
+        if len(slides) < 2:
+            slides = []
+            # Slide 1: QUAN ĐIỂM CÁ NHÂN (BẮT BUỘC)
+            slides.append({"text": f"Theo quan điểm cá nhân: {opinion[:400]}", "image": source_images[0] if source_images else "", "index": 1})
+            
+            # Slide 2-6: KẾT HỢP QUAN ĐIỂM + SOURCE
+            for i in range(min(5, len(source_details))):
+                if len(slides) >= 6:
+                    break
+                src = source_details[i]
+                src_via = src.get("via", "")
+                src_paras = src.get("paragraphs", [])
+                
+                src_text = ""
+                for p in src_paras[:2]:
+                    p = p.strip()[:280]
+                    if len(p) > 50:
+                        src_text = p
+                        break
+                
+                if src_text:
+                    combined = f"Theo góc nhìn cá nhân, {opinion[:60]}. Theo {src_via}: {src_text}"
+                    img = source_images[len(slides)] if len(slides) < len(source_images) else (source_images[-1] if source_images else "")
+                    slides.append({"text": _ensure_sentence_complete(combined), "image": img, "index": len(slides) + 1})
+    
+    lang, emotion = detect_language_and_emotion(title, ai_text)
+    voice = get_voice_for_content(title, ai_text)
+    
+    post = {
+        "id": str(int(time.time() * 1000)) + str(_random2.randint(100, 999)),
+        "title": title,
+        "text": ai_text,
+        "img": source_images[0] if source_images else "",
+        "url": "",
+        "kind": "personal_opinion",
+        "slides": slides,
+        "images": source_images[:10],
+        "video": "",
+        "voice": voice,
+        "emotion": emotion,
+        "language": lang,
+        "ts": int(time.time()),
+        "sources": source_details[:5]
+    }
+    
+    posts = _load_wall_posts()
+    posts.insert(0, post)
+    _save_wall_posts(posts)
+    
+    return JSONResponse({"post": post, "slides": slides})
+
+
+# ===== END PERSONAL OPINION POST v2 =====
+
+def _bg():
+    time.sleep(15)
+    while True:
+        try:get_wc2026_all()
+        except:pass
+        time.sleep(90)
+threading.Thread(target=_bg,daemon=True).start()
+
+# ===== AUTO SCHEDULER: rewrite AI + short at 7/13/19 VN time =====
+_AUTO_SCHEDULE_TIMES = [(7, '07:00'), (13, '13:00'), (19, '19:00')]
+_AUTO_LOG = os.path.join(DATA_DIR, 'auto_rewrite_log.json')
+
+def _load_auto_log():
+    try:
+        if os.path.exists(_AUTO_LOG):
+            with open(_AUTO_LOG, 'r') as f:
+                return json.load(f)
+    except: pass
+    return {}
+
+def _save_auto_log(log):
+    try:
+        tmp = _AUTO_LOG + '.tmp'
+        with open(tmp, 'w') as f:
+            json.dump(log, f)
+        os.replace(tmp, _AUTO_LOG)
+    except: pass
+
+async def _auto_fetch_short(post_id):
+    """Try to auto-generate a short for a post."""
+    try:
+        import httpx
+        async with httpx.AsyncClient(timeout=180) as cl:
+            r = await cl.post(
+                f"http://localhost:7860/api/ai/short/{post_id}",
+                json={"voice":"vi-VN-HoaiMyNeural","emotion":"neutral","speed":1.2},
+                headers={"Content-Type":"application/json"}
+            )
+            if r.status_code < 300:
+                sj = r.json()
+                if sj.get('video'):
+                    posts = _load_wall_posts()
+                    for p in posts:
+                        if p.get('id') == post_id:
+                            p['video'] = sj['video']
+                            break
+                    _save_wall_posts(posts)
+                    return True
+    except: pass
+    return False
+
+async def _auto_rewrite_one(topic, slot_label, used_urls=None, post_index=0):
+    """Rewrite one topic: find articles, summarize, post to wall, trigger short.
+    used_urls: shared set to avoid duplicate articles across topics.
+    post_index: 0-based index to create multiple posts per topic (0,1,2 = up to 3 posts)."""
+    from urllib.parse import quote as _q
+    # Get MORE items to support 1-3 posts per topic
+    items = _search_all(topic, limit=12)
+    # Skip URLs already used by another topic
+    if used_urls is not None:
+        filtered = [it for it in items if it.get('url') not in used_urls]
+        if filtered:
+            items = filtered
+    if not items or post_index >= len(items):
+        return False
+    
+    # Get article at post_index (0,1,2 for multiple posts)
+    item = items[post_index]  # post_index allows multiple articles per topic
+    url = item.get('url', '')
+    title = item.get('title', topic)
+    if url and used_urls is not None:
+        used_urls.add(url)
+    if not url.startswith('http'):
+        return False
+    
+    data = _scrape_article_for_rewrite(url)
+    if not data or not data.get('paragraphs'):
+        return False
+    
+    raw_text = '\n'.join(data['paragraphs'])
+    ai_text = None
+    
+    # Try AI generation
+    try:
+        import ai_ext
+        prompt = f"Tóm tắt tin tức (tự động {slot_label}):\nTiêu đề: {data['title']}\n{raw_text[:10000]}\n\n4-6 ý chính dạng bullet. Cuối ghi nguồn."
+        ai_text = await ai_ext.qwen_generate(prompt, max_tokens=1000)
+    except: pass
+    
+    if not ai_text or len(ai_text) < 80:
+        pts = data['paragraphs'][:6]
+        ai_text = '\n\n'.join([f"• {p[:300]}" for p in pts])
+        via = item.get('via', '') or urlparse(url).netloc.replace('www.', '')
+        ai_text += f"\n\nNguồn tham khảo: {via}"
+    
+    # Build slides
+    images = data.get('images', [])
+    pts = data['paragraphs'][:10]
+    slides = []
+    for i, p in enumerate(pts[:8]):
+        img = images[i] if i < len(images) else (images[-1] if images else data.get('og_img', ''))
+        slides.append({'text': p[:300], 'image': img, 'index': i + 1})
+    
+    post_id = str(int(time.time() * 1000)) + str(_random2.randint(100, 999))
+    post = {
+        "id": post_id, "title": data.get('title', title)[:200],
+        "text": ai_text, "img": images[0] if images else data.get('og_img', ''),
+        "url": url, "kind": "auto_rewrite", "slides": slides,
+        "images": images[:10], "video": "",
+        "voice": "vi-VN-HoaiMyNeural", "emotion": "neutral",
+        "language": "vietnamese", "ts": int(time.time()),
+        "auto_scheduled": True, "slot": slot_label,
+    }
+    
+    posts = _load_wall_posts()
+    posts.insert(0, post)
+    _save_wall_posts(posts)
+    
+    # Trigger short generation async
+    threading.Thread(target=lambda: asyncio.run(_auto_fetch_short(post_id)), daemon=True).start()
+    return True
+
+async def _do_scheduled_run(slot_label):
+    """Main scheduled run: 1-3 posts from 3 different HOT topics (3-9 total), no duplicates."""
+    print(f"[auto] Starting scheduled rewrite for {slot_label}")
+    
+    # Get top hot topics, skip duplicates
+    all_topics = _get_hot_topics()
+    seen_topics = set()
+    unique_topics = []
+    for t in all_topics:
+        kw = t.get('topic', '').lower().strip()
+        if kw and len(kw) > 5 and kw not in seen_topics:
+            is_dup = False
+            for s in seen_topics:
+                # Check if one topic is substring of another
+                if kw in s or s in kw:
+                    is_dup = True
+                    break
+            if not is_dup:
+                seen_topics.add(kw)
+                unique_topics.append(t)
+        if len(unique_topics) >= 3:
+            break
+    
+    job_topics = [t['topic'] for t in unique_topics[:3] if t.get('topic')]
+    if not job_topics:
+        print(f"[auto] No hot topics found, skipping")
+        return
+    
+    print(f"[auto] Running 3 topics: {job_topics}")
+    
+    # Track used URLs to avoid cross-topic duplicates
+    _used_urls = set()
+    results = []
+    
+    # Process each topic, create 1-3 posts per topic
+    for jt in job_topics:
+        for post_idx in range(3):  # Try up to 3 posts per topic
+            try:
+                ok = await asyncio.wait_for(_auto_rewrite_one(jt, slot_label, _used_urls, post_idx), timeout=120)
+                if ok:
+                    results.append((jt, post_idx, True))
+                    print(f"[auto] Created post {post_idx+1} for '{jt}'")
+                else:
+                    # No more articles for this topic
+                    break
+            except Exception as e:
+                print(f"[auto] Error on '{jt}' post {post_idx}: {e}")
+                results.append((jt, post_idx, False))
+            await asyncio.sleep(1)  # Small delay between posts
+    
+    # Ensure at least 3 posts total (fallback if needed)
+    successful_posts = sum(1 for _, _, ok in results if ok)
+    print(f"[auto] Done {slot_label}: {successful_posts} posts created")
+    
+    # Log
+    from datetime import datetime, timezone, timedelta
+    VN_TZ_SCHED = timezone(timedelta(hours=7))
+    today_str = datetime.now(VN_TZ_SCHED).strftime('%Y-%m-%d')
+    log = _load_auto_log()
+    if today_str not in log: log[today_str] = {}
+    log[today_str][slot_label] = {
+        'time': datetime.now(VN_TZ_SCHED).strftime('%H:%M:%S'),
+        'count': successful_posts,
+        'total': len(job_topics),
+    }
+    _save_auto_log(log)
+
+def _scheduler_loop():
+    """Check every 60s; trigger at 7:00, 13:00, 19:00 VN time.
+    On startup, check for any missed slots today and run them immediately."""
+    time.sleep(35)
+    from datetime import datetime, timezone, timedelta
+    VN_TZ_SCHED = timezone(timedelta(hours=7))
+    
+    _last_run_date = ""
+    _last_run_slots = set()
+    
+    # On startup: check log for missed slots today
+    try:
+        start_now = datetime.now(VN_TZ_SCHED)
+        today_str = start_now.strftime('%Y-%m-%d')
+        current_hour = start_now.hour
+        current_minute = start_now.minute
+        log = _load_auto_log()
+        today_log = log.get(today_str, {})
+        for h, label in _AUTO_SCHEDULE_TIMES:
+            # Run if slot is past (either strictly earlier hour, or same hour but window has passed)
+            should_run = False
+            if h < current_hour:
+                should_run = True
+            elif h == current_hour and current_minute > 10:
+                should_run = True
+            if should_run and label not in today_log:
+                print(f"[auto] Detected missed slot {label} (h={h} < now={current_hour}:{current_minute}), running catch-up now")
+                _run_scheduled_sync(label)
+                _last_run_slots.add(label)
+    except Exception as e:
+        print(f"[auto] Catch-up check error: {e}")
+    
+    while True:
+        try:
+            now = datetime.now(VN_TZ_SCHED)
+            today = now.strftime('%Y-%m-%d')
+            hour = now.hour
+            minute = now.minute
+            
+            if today != _last_run_date:
+                _last_run_date = today
+                _last_run_slots = set()
+            
+            slot = None
+            for h, label in _AUTO_SCHEDULE_TIMES:
+                if hour == h and 0 <= minute < 5:
+                    slot = label
+                    break
+            
+            if slot and slot not in _last_run_slots:
+                _last_run_slots.add(slot)
+                _run_scheduled_sync(slot)
+        except Exception as e:
+            print(f"[auto] Loop error: {e}")
+        
+        time.sleep(60)
+
+threading.Thread(target=_scheduler_loop, daemon=True, name='auto-rewrite-scheduler').start()
+
+@app.get('/api/debug/auto_schedule')
+async def debug_auto_schedule(slot: str = '07:00'):
+    """Manually trigger auto scheduler for debugging."""
+    try:
+        # Check if we can access the data directory
+        log = _load_auto_log()
+        topics = _get_hot_topics()[:3]
+        job_topics = [t['topic'] for t in topics if t.get('topic')]
+        return JSONResponse({
+            "slot": slot,
+            "log": log,
+            "hot_topics": job_topics,
+            "wall_posts_count": len(_load_wall_posts()),
+            "data_dir_writable": os.access(DATA_DIR, os.W_OK) if os.path.isdir(DATA_DIR) else False,
+            "data_dir_exists": os.path.isdir(DATA_DIR),
+        })
+    except Exception as e:
+        return JSONResponse({"error": str(e)}, status_code=500)
+
+def _run_scheduled_sync(slot):
+    """Run _do_scheduled_run in a separate event loop (for background thread)."""
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    try:
+        loop.run_until_complete(_do_scheduled_run(slot))
+    except Exception as e:
+        print(f"[auto] Background run error: {e}")
+    finally:
+        loop.close()
+
+@app.get('/api/debug/trigger_auto')
+async def debug_trigger_auto(slot: str = '19:00'):
+    """Trigger _do_scheduled_run in background thread (non-blocking)."""
+    threading.Thread(target=_run_scheduled_sync, args=(slot,), daemon=True).start()
+    return JSONResponse({"status": "started", "slot": slot})
+
+# ===== SHORTS RSS PROXY ENDPOINT =====
+@app.get("/api/shorts/rss")
+def shorts_rss():
+    """Get shorts from YouTube RSS feeds server-side"""
+    import xml.etree.ElementTree as ET
+    import html as html_lib2
+    import re as re2
+    
+    YOUTUBE_CHANNELS = {
+        "baodantri7941": "UC_x5TKhOgd6GhYvv5z4I3jg",
+        "baosuckhoedoisongboyte": "UCBsY5fXTQLkF_JnH9kLkL4g",
+    }
+    
+    shorts = []
+    seen = set()
+    
+    for handle, channel_id in YOUTUBE_CHANNELS.items():
+        try:
+            rss_url = f"https://www.youtube.com/feeds/videos.xml?channel_id={channel_id}"
+            r = req.get(rss_url, headers=HEADERS, timeout=15)
+            if r.status_code != 200:
+                continue
+            
+            root = ET.fromstring(r.text)
+            ns = {
+                'atom': 'http://www.w3.org/2005/Atom',
+                'yt': 'http://www.youtube.com/xml/schemas/2015',
+                'media': 'http://search.yahoo.com/mrss/'
+            }
+            
+            for entry in root.findall('atom:entry', ns)[:30]:
+                title_el = entry.find('atom:title', ns)
+                title = html_lib2.unescape(title_el.text) if title_el is not None and title_el.text else ''
+                
+                link_el = entry.find('atom:link', ns)
+                link = link_el.get('href', '') if link_el is not None else ''
+                
+                vid_el = entry.find('yt:videoId', ns)
+                vid = vid_el.text if vid_el is not None else ''
+                
+                if not vid or vid in seen:
+                    continue
+                
+                # Check if it's a short
+                is_short = '#shorts' in title.lower() or '#short' in title.lower() or '/shorts/' in link
+                
+                if not is_short:
+                    desc_el = entry.find('media:description', ns)
+                    if desc_el is not None and desc_el.text:
+                        if '#shorts' in desc_el.text.lower():
+                            is_short = True
+                
+                if not is_short:
+                    continue
+                
+                seen.add(vid)
+                
+                # Get thumbnail
+                thumb = f"https://i.ytimg.com/vi/{vid}/hqdefault.jpg"
+                media_group = entry.find('media:group', ns)
+                if media_group is not None:
+                    thumb_el = media_group.find('media:thumbnail', ns)
+                    if thumb_el is not None:
+                        thumb = thumb_el.get('url', thumb)
+                
+                shorts.append({
+                    'id': vid,
+                    'title': title.replace('#shorts', '').replace('#short', '').strip()[:120],
+                    'img': thumb,
+                    'link': f'https://www.youtube.com/shorts/{vid}',
+                    'channel': handle,
+                    'source': 'yt'
+                })
+                
+                if len(shorts) >= 40:
+                    break
+                    
+        except Exception as e:
+            print(f"RSS error for {handle}: {e}")
+            continue
+    
+    return {"shorts": shorts, "count": len(shorts)}
+
+app.mount('/static',StaticFiles(directory=STATIC_DIR),name='vnews_static')
\ No newline at end of file