Delete ai_runtime_final*.py, ai_fix2.py, ai_patch.py, ai_runtime.py, app_clean.py, app_final.py, app_main.py, app_patch_unified.py, app_run.py, app_v2_entry*.py, app_v3.js, app_v4.js, app_v5.js, core_*.js, patch_*.py, patch_extra.py, patch_runtime.py, restore_runner.py, rewrite_fix.js, tv_player.js, yt_live_v2.js, TRIGGER_REBUILD_V6.md, _run.py, _static_build_trigger.txt

TRIGGER_REBUILD_V6.md

@@ -1 +0,0 @@
-# Rebuild trigger v6 - 1780971280.8544343

_run.py

@@ -1 +0,0 @@
-from app_v2_entry import app  # v5-stable inline bongda proxy

_static_build_trigger.txt

@@ -1 +0,0 @@
-# Force rebuild - match_detail debug v2

ai_fix2.py

@@ -1,366 +0,0 @@
-import os, re, subprocess, html as html_lib, json
-from urllib.parse import quote_plus, urlparse, parse_qs, unquote
-import requests
-import ai_patch as prev
-from ai_patch import app
-from fastapi import Request
-from fastapi.responses import JSONResponse, HTMLResponse, FileResponse
-
-base = prev.base
-
-
-def clean(s):
-    return re.sub(r"\s+", " ", html_lib.unescape(s or "")).strip()
-
-
-def _is_real_article_text(raw):
-    raw = clean(raw)
-    if len(raw) < 500:
-        return False
-    # Reject search-result/title-only pages: need several real sentences.
-    sentences = re.split(r"(?<=[\.\!\?])\s+", raw)
-    long_sentences = [s for s in sentences if len(s) > 45]
-    return len(long_sentences) >= 5
-
-
-def _extract_ddg_url(href):
-    if not href:
-        return ""
-    if href.startswith("//"):
-        href = "https:" + href
-    if "duckduckgo.com/l/" in href:
-        try:
-            qs = parse_qs(urlparse(href).query)
-            if qs.get("uddg"):
-                return unquote(qs["uddg"][0])
-        except Exception:
-            pass
-    return href
-
-
-def _ddg_article_urls(topic, limit=12):
-    urls = []
-    try:
-        q = quote_plus(topic + " tin tức bài viết phân tích")
-        r = requests.get("https://html.duckduckgo.com/html/?q=" + q, headers=base.HEADERS, timeout=18)
-        r.encoding = "utf-8"
-        from bs4 import BeautifulSoup
-        soup = BeautifulSoup(r.text, "lxml")
-        for a in soup.select("a.result__a"):
-            u = _extract_ddg_url(a.get("href", ""))
-            if not u.startswith("http"):
-                continue
-            if any(bad in u for bad in ["google.com", "youtube.com", "facebook.com", "x.com", "twitter.com"]):
-                continue
-            if u not in urls:
-                urls.append(u)
-            if len(urls) >= limit:
-                break
-    except Exception:
-        pass
-    return urls
-
-
-def _rss_article_urls(topic, limit=10):
-    out = []
-    try:
-        url = "https://news.google.com/rss/search?q=" + quote_plus(topic) + "&hl=vi&gl=VN&ceid=VN:vi"
-        r = requests.get(url, headers=base.HEADERS, timeout=15)
-        r.encoding = "utf-8"
-        from bs4 import BeautifulSoup
-        soup = BeautifulSoup(r.text, "xml")
-        for it in soup.find_all("item")[:limit]:
-            title = it.find("title").get_text(" ", strip=True) if it.find("title") else ""
-            link = it.find("link").get_text(strip=True) if it.find("link") else ""
-            src = it.find("source").get_text(" ", strip=True) if it.find("source") else base._domain(link)
-            if title and link:
-                out.append({"title": title, "url": link, "via": src, "excerpt": title})
-    except Exception:
-        pass
-    return out
-
-
-def _topic_source_articles(topic, limit=5):
-    """Scrape actual article bodies. Do not accept title-only sources."""
-    candidates = []
-    seen = set()
-
-    # 1) DuckDuckGo actual result URLs are usually more directly scrapable.
-    for u in _ddg_article_urls(topic, limit=14):
-        if u not in seen:
-            seen.add(u)
-            candidates.append({"url": u, "title": "", "via": base._domain(u)})
-
-    # 2) Add base web_context sources.
-    try:
-        _ctx, srcs = base.web_context(topic, limit=8)
-        for s in srcs or []:
-            u = s.get("url") or ""
-            if u.startswith("http") and u not in seen:
-                seen.add(u)
-                candidates.append(s)
-    except Exception:
-        pass
-
-    # 3) Google News RSS fallback last.
-    for s in _rss_article_urls(topic, limit=10):
-        u = s.get("url") or ""
-        if u.startswith("http") and u not in seen:
-            seen.add(u)
-            candidates.append(s)
-
-    out = []
-    for s in candidates[:24]:
-        url = s.get("url") or ""
-        try:
-            page = base.scrape_any_url(url)
-            raw = (page.get("summary", "") + "\n" + page.get("text", "")).strip()
-            if not _is_real_article_text(raw):
-                continue
-            title = page.get("title") or s.get("title") or url
-            via = page.get("via") or s.get("via") or base._domain(url)
-            out.append({
-                "title": title,
-                "url": url,
-                "raw": raw,
-                "image": page.get("image") or "",
-                "via": via,
-                "source": {"title": title, "url": url, "excerpt": raw[:700], "via": via}
-            })
-            if len(out) >= limit:
-                break
-        except Exception:
-            continue
-    return out[:limit]
-
-
-def sentence_split(text):
-    text = re.sub(r"^[•\-\*]\s*", "", text or "", flags=re.M)
-    text = re.sub(r"\n+", ". ", text)
-    parts = []
-    for s in re.split(r"(?<=[\.\!\?])\s+", text):
-        s = clean(s)
-        if len(s) >= 8:
-            parts.append(s)
-    return parts
-
-
-def srt_time(sec):
-    ms = int((sec - int(sec)) * 1000)
-    sec = int(sec)
-    return f"{sec//3600:02d}:{(sec%3600)//60:02d}:{sec%60:02d},{ms:03d}"
-
-
-def parse_timecode(t):
-    # 00:00:01.234 or 00:00:01,234
-    t = t.replace(',', '.')
-    parts = t.split(':')
-    if len(parts) == 3:
-        return int(parts[0])*3600 + int(parts[1])*60 + float(parts[2])
-    if len(parts) == 2:
-        return int(parts[0])*60 + float(parts[1])
-    return float(parts[0])
-
-
-def convert_vtt_to_scaled_srt(vtt_path, srt_path, speed=1.2):
-    try:
-        txt = open(vtt_path, 'r', encoding='utf-8').read().splitlines()
-        cues = []
-        i = 0
-        while i < len(txt):
-            line = txt[i].strip()
-            if '-->' in line:
-                a, b = [x.strip().split()[0] for x in line.split('-->')[:2]]
-                start = parse_timecode(a) / speed
-                end = parse_timecode(b) / speed
-                i += 1
-                texts = []
-                while i < len(txt) and txt[i].strip():
-                    texts.append(txt[i].strip())
-                    i += 1
-                s = clean(' '.join(texts))
-                if s:
-                    cues.append((start, end, s))
-            i += 1
-        if not cues:
-            return False
-        with open(srt_path, 'w', encoding='utf-8') as f:
-            for idx, (st, en, s) in enumerate(cues, 1):
-                if en <= st:
-                    en = st + 1.2
-                f.write(f"{idx}\n{srt_time(st)} --> {srt_time(en)}\n{s}\n\n")
-        return True
-    except Exception:
-        return False
-
-
-def write_weighted_srt(script, path, total_duration):
-    subs = sentence_split(script)
-    if not subs:
-        subs = [clean(script)[:140] or "VNEWS"]
-    total_chars = max(1, sum(len(x) for x in subs))
-    usable = max(2.0, float(total_duration) - 1.0)
-    cur = 0.5
-    with open(path, "w", encoding="utf-8") as f:
-        for i, s in enumerate(subs, 1):
-            dur = max(1.8, min(7.0, usable * len(s) / total_chars))
-            start = cur
-            end = min(total_duration - 0.15, cur + dur)
-            cur = end + 0.18
-            f.write(f"{i}\n{srt_time(start)} --> {srt_time(end)}\n{s}\n\n")
-            if cur >= total_duration - 0.2:
-                break
-
-
-def tts_script_full(post, emotion):
-    title = clean(post.get("title", ""))
-    text = clean(post.get("text", ""))
-    text = re.sub(r"Nguồn tham khảo:.*", "", text, flags=re.S).strip()
-    prefix = {
-        "urgent": "Tin nhanh.",
-        "warm": "Câu chuyện đáng chú ý.",
-        "serious": "Bản tin nghiêm túc.",
-        "energetic": "Cập nhật nổi bật.",
-    }.get(emotion, "")
-    script = f"{prefix} {title}. {text}".strip()
-    # Keep complete wall summary. Only trim pathological payloads, on sentence boundary.
-    if len(script) > 3600:
-        tmp = script[:3600]
-        cut = max(tmp.rfind("."), tmp.rfind("!"), tmp.rfind("?"))
-        script = tmp[:cut + 1] if cut > 1600 else tmp
-    script = re.sub(r"([\.\!\?])\s*", r"\1\n", script)
-    script = re.sub(r"\n{2,}", "\n", script).strip()
-    return script
-
-
-_PATCH = {('/api/topic_post','POST'),('/api/ai/short/{post_id}','POST'),('/api/ai/short-file/{file_id}','GET'),('/','GET')}
-app.router.routes = [r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-
-@app.post('/api/topic_post')
-async def topic_post_aggregate(request: Request):
-    body = await request.json()
-    topic = base._clean_text(body.get('topic',''))
-    if not topic:
-        return JSONResponse({'error':'missing topic'}, status_code=400)
-    articles = _topic_source_articles(topic, limit=5)
-    if not articles:
-        return JSONResponse({'error':'Không scrape được nội dung bài viết thật cho chủ đề này. Hãy thử chủ đề cụ thể hơn hoặc dán URL trực tiếp.'}, status_code=422)
-    source_blocks = []
-    sources = []
-    image = ""
-    for i, art in enumerate(articles, 1):
-        raw = art.get('raw','')
-        source_blocks.append(f"[Nguồn {i}] {art.get('title','')} ({art.get('via','')})\n{raw[:3000]}")
-        sources.append(art.get('source') or {'title': art.get('title'), 'url': art.get('url'), 'via': art.get('via'), 'excerpt': raw[:600]})
-        if not image and art.get('image'):
-            image = art.get('image')
-    ctx = "\n\n".join(source_blocks)
-    prompt = f"""Bạn là biên tập viên tổng hợp tin tức tiếng Việt.
-
-Chủ đề: {topic}
-
-NHIỆM VỤ:
-- Đọc nội dung của TẤT CẢ các bài nguồn bên dưới.
-- Tổng hợp thành 1 bản tóm tắt chung duy nhất, giống cách tóm tắt qua URL.
-- Không tạo mỗi tiêu đề thành một bài riêng.
-- Không chỉ liệt kê tiêu đề; phải dựa vào nội dung trong từng bài.
-- Không lặp ý giữa các nguồn.
-- Tối đa 6 gạch đầu dòng, mỗi dòng 1 câu rõ ràng.
-- Nếu các nguồn có góc nhìn khác nhau, gộp lại thành ý tổng hợp.
-- Cuối cùng thêm dòng: Nguồn tham khảo: tên website.
-
-Nội dung nguồn:
-{ctx[:16000]}"""
-    text = await prev.base.qwen_generate(prompt, image_url=image or None, max_tokens=1100)
-    text = prev._postprocess_ai_text(text, max_units=7)
-    if 'Nguồn tham khảo:' not in text:
-        text += '\n\n' + prev._source_line(sources)
-    post = base.make_post('Tổng hợp: ' + topic, text, image or base.pollinations_image_url(topic), '', 'topic_aggregate', sources=sources[:5])
-    posts = base._load_ai_wall(); posts.insert(0, post); base._save_ai_wall(posts)
-    return JSONResponse({'post': post, 'count_sources': len(sources)})
-
-
-@app.post('/api/ai/short/{post_id}')
-async def ai_short_full(post_id: str, request: Request):
-    try:
-        body = await request.json()
-    except Exception:
-        body = {}
-    voice = str(body.get('voice','nu')).lower().strip()
-    emotion = str(body.get('emotion','neutral')).lower().strip()
-    speed = max(0.85, min(1.35, float(body.get('speed', 1.2) or 1.2)))
-    posts = base._load_ai_wall()
-    post = next((p for p in posts if str(p.get('id')) == str(post_id)), None)
-    if not post:
-        return JSONResponse({'error':'post not found'}, status_code=404)
-    os.makedirs(base.SHORTS_DIR, exist_ok=True)
-    suffix = f"_{voice}_{emotion}_{str(speed).replace('.', 'p')}_fullv2"
-    out_mp4 = os.path.join(base.SHORTS_DIR, base._safe_name(post_id + suffix) + '.mp4')
-    if os.path.exists(out_mp4):
-        post['video'] = '/api/ai/short-file/' + post_id + suffix
-        base._save_ai_wall(posts)
-        return JSONResponse({'video': post['video'], 'speed': speed, 'subtitles': True})
-    work = os.path.join(base.SHORTS_DIR, base._safe_name(post_id + suffix)); os.makedirs(work, exist_ok=True)
-    img = os.path.join(work,'image.jpg'); frame = os.path.join(work,'frame.jpg'); audio = os.path.join(work,'voice.mp3'); audio_fast=os.path.join(work,'voice_fast.mp3'); srt=os.path.join(work,'subtitles.srt'); vtt=os.path.join(work,'subtitles.vtt')
-    try:
-        base._download_image(post.get('img'), post.get('title','AI news'), img)
-        prev._make_short_frame_full(post, img, frame)
-        script = tts_script_full(post, emotion)
-        edge_voice = {'nam':'vi-VN-NamMinhNeural','male':'vi-VN-NamMinhNeural','nu':'vi-VN-HoaiMyNeural','female':'vi-VN-HoaiMyNeural','mien-nam':'vi-VN-HoaiMyNeural'}.get(voice,'vi-VN-HoaiMyNeural')
-        used_edge = False
-        try:
-            subprocess.run(['python','-m','edge_tts','--voice',edge_voice,'--text',script,'--write-media',audio,'--write-subtitles',vtt], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=260)
-            used_edge = True
-        except Exception:
-            tld = 'com.vn' if voice in ('nu','female','mien-nam') else 'com'
-            try:
-                base.gTTS(script, lang='vi', tld=tld, slow=False).save(audio)
-            except TypeError:
-                base.gTTS(script, lang='vi', slow=False).save(audio)
-        subprocess.run(['ffmpeg','-y','-i',audio,'-filter:a',f'atempo={speed}','-vn',audio_fast], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=220)
-        duration = 45.0
-        try:
-            pr = subprocess.run(['ffprobe','-v','error','-show_entries','format=duration','-of','default=noprint_wrappers=1:nokey=1',audio_fast], stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=20)
-            duration = float((pr.stdout or b'45').decode().strip() or 45)
-        except Exception:
-            pass
-        if used_edge and os.path.exists(vtt):
-            ok = convert_vtt_to_scaled_srt(vtt, srt, speed=speed)
-            if not ok:
-                write_weighted_srt(script, srt, duration)
-        else:
-            write_weighted_srt(script, srt, duration)
-        vf = "scale=1080:1920,subtitles='{}':force_style='FontName=DejaVu Sans,FontSize=16,PrimaryColour=&H00FFFFFF,OutlineColour=&HAA000000,BorderStyle=1,Outline=1.5,Shadow=0,Alignment=2,MarginV=42'".format(srt.replace("'", "\\'"))
-        cmd = ['ffmpeg','-y','-loop','1','-i',frame,'-i',audio_fast,'-shortest','-c:v','libx264','-tune','stillimage','-pix_fmt','yuv420p','-c:a','aac','-b:a','128k','-vf',vf,out_mp4]
-        subprocess.run(cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=420)
-        post['video'] = '/api/ai/short-file/' + post_id + suffix
-        post['short_voice'] = voice; post['short_emotion'] = emotion; post['short_speed'] = speed; post['short_subtitles'] = True
-        base._save_ai_wall(posts)
-        return JSONResponse({'video': post['video'], 'voice': voice, 'emotion': emotion, 'speed': speed, 'subtitles': True, 'duration': duration})
-    except Exception as e:
-        return JSONResponse({'error':'Không tạo được shorts: '+str(e)[:180]}, status_code=500)
-
-
-@app.get('/api/ai/short-file/{file_id}')
-def ai_short_file_full(file_id: str):
-    path = os.path.join(base.SHORTS_DIR, base._safe_name(file_id) + '.mp4')
-    if not os.path.exists(path):
-        return JSONResponse({'error':'not found'}, status_code=404)
-    return FileResponse(path, media_type='video/mp4', filename=f'vnews-ai-{file_id}.mp4')
-
-
-app.router.routes = [r for r in app.router.routes if not (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))]
-
-@app.get('/')
-async def index_fix2():
-    with open('/app/static/index.html','r',encoding='utf-8') as f:
-        html = f.read()
-    inject = prev.PATCH_INJECT + r'''
-<script>
-(function(){
-window.createTopicPost=function(){let inp=document.getElementById('ai-topic-input');let topic=(inp&&inp.value||'').trim();if(!topic)return alert('Nhập chủ đề trước');fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})}).then(r=>r.json().then(j=>({ok:r.ok,j}))).then(({ok,j})=>{if(ok&&j.post){window.location.reload();alert('Đã tổng hợp NỘI DUNG các bài nguồn thành 1 bản tóm tắt trên Tường AI');}else alert(j.error||'Lỗi tạo bài')}).catch(e=>alert(e.message||'Lỗi tạo bài'));};
-})();
-</script>
-'''
-    return HTMLResponse(html.replace('</body>', inject+'\n</body>'))

ai_patch.py

@@ -1,751 +0,0 @@
-import os
-import re
-import time
-import random
-import json
-import html as html_lib
-import subprocess
-import requests
-import ai_ext as base
-from ai_ext import app
-from fastapi import Request
-from fastapi.responses import JSONResponse, HTMLResponse, FileResponse
-from bs4 import BeautifulSoup
-from urllib.parse import quote_plus
-
-try:
-    from PIL import Image, ImageDraw, ImageFont
-except Exception:
-    Image = ImageDraw = ImageFont = None
-
-
-def _clean(s):
-    s = html_lib.unescape(s or "")
-    s = re.sub(r"[ \t]+", " ", s)
-    s = re.sub(r"\n{3,}", "\n\n", s)
-    return s.strip()
-
-
-def _norm(s):
-    s = s.lower()
-    s = re.sub(r"[^\wÀ-ỹ\s]", " ", s)
-    s = re.sub(r"\s+", " ", s).strip()
-    return s
-
-
-def _similar(a, b):
-    ta = set(_norm(a).split())
-    tb = set(_norm(b).split())
-    if not ta or not tb:
-        return False
-    return len(ta & tb) / max(1, min(len(ta), len(tb))) >= 0.72
-
-
-def _dedupe_units(units, max_units=7):
-    out, seen = [], set()
-    for u in units:
-        u = _clean(re.sub(r"^[-•*\d\.\)\s]+", "", u))
-        if len(u) < 18:
-            continue
-        nu = _norm(u)
-        if nu in seen:
-            continue
-        if any(_similar(u, old) for old in out):
-            continue
-        seen.add(nu)
-        out.append(u)
-        if len(out) >= max_units:
-            break
-    return out
-
-
-def _postprocess_ai_text(text, max_units=7):
-    text = _clean(text)
-    if not text:
-        return text
-    drop_prefixes = (
-        "dưới đây", "sau đây", "bài viết", "tôi sẽ", "mình sẽ",
-        "tóm tắt bài", "tiêu đề:", "sapo:", "nội dung:", "kết luận:"
-    )
-    raw_lines = []
-    for line in re.split(r"\n+", text):
-        line = _clean(line)
-        if not line:
-            continue
-        low = line.lower().strip()
-        if any(low.startswith(p) and len(line) < 80 for p in drop_prefixes):
-            continue
-        raw_lines.append(line)
-    units = []
-    for line in raw_lines:
-        if len(line) > 260:
-            units.extend(re.split(r"(?<=[\.\!\?])\s+(?=[A-ZÀ-Ỹ0-9])", line))
-        else:
-            units.append(line)
-    units = _dedupe_units(units, max_units=max_units)
-    if not units:
-        return text[:900]
-    title = ""
-    if raw_lines and len(raw_lines[0]) <= 90 and not raw_lines[0].startswith(("-", "•", "*")):
-        title = raw_lines[0]
-        units = [u for u in units if not _similar(u, title)]
-    body = "\n".join("• " + u for u in units[:max_units])
-    return (title + "\n\n" + body).strip() if title else body
-
-
-def _fallback_summary_from_prompt(prompt, max_units=6):
-    text = prompt or ""
-    for marker in ["Nội dung nguồn:", "Nội dung bài:", "Nội dung gốc:", "Nội dung:", "Nguồn/bối cảnh internet:"]:
-        if marker in text:
-            text = text.split(marker, 1)[1]
-            break
-    text = re.sub(r"https?://\S+", "", text)
-    text = re.sub(r"\s+", " ", text).strip()
-    sentences = re.split(r"(?<=[\.\!\?])\s+(?=[A-ZÀ-Ỹ0-9])", text)
-    candidates = []
-    for s in sentences:
-        s = _clean(s)
-        if 45 <= len(s) <= 260:
-            candidates.append(s)
-    units = _dedupe_units(candidates, max_units=max_units)
-    if units:
-        return "\n".join("• " + u for u in units)
-    if text:
-        return "• " + text[:700].rsplit(" ", 1)[0]
-    return "• Không có đủ nội dung nguồn để tóm tắt."
-
-
-def _source_line(sources):
-    names = []
-    for s in (sources or [])[:5]:
-        via = s.get("via") or base._domain(s.get("url", "")) or s.get("title", "")
-        if via and via not in names:
-            names.append(via)
-    return "Nguồn tham khảo: " + ", ".join(names[:5]) if names else "Nguồn tham khảo: tổng hợp internet"
-
-
-def _make_summary_prompt(title, raw, source_hint=""):
-    return f"""Bạn là biên tập viên tóm tắt tin tức tiếng Việt.
-
-NHIỆM VỤ BẮT BUỘC:
-- Chỉ TÓM TẮT nội dung chính, KHÔNG viết lại toàn bộ bài.
-- Không lặp lại cùng một ý, cùng một câu, cùng một chi tiết.
-- Không thêm thông tin ngoài nguồn.
-- Tối đa 5 gạch đầu dòng, mỗi gạch đầu dòng 1 câu ngắn.
-- Nếu bài có số liệu/nhân vật/thời điểm quan trọng thì giữ lại.
-- Không viết phần mở bài dài, không viết văn kể lại.
-
-Tiêu đề nguồn: {title}
-Nguồn: {source_hint}
-
-Nội dung nguồn:
-{raw[:14000]}
-"""
-
-
-def _direct_news_rss(topic, limit=10):
-    out = []
-    try:
-        url = "https://news.google.com/rss/search?q=" + quote_plus(topic) + "&hl=vi&gl=VN&ceid=VN:vi"
-        r = requests.get(url, headers=base.HEADERS, timeout=15)
-        r.encoding = "utf-8"
-        soup = BeautifulSoup(r.text, "xml")
-        for it in soup.find_all("item")[:limit]:
-            title = it.find("title").get_text(" ", strip=True) if it.find("title") else ""
-            link = it.find("link").get_text(strip=True) if it.find("link") else ""
-            src = it.find("source").get_text(" ", strip=True) if it.find("source") else base._domain(link)
-            if title and link:
-                out.append({"title": title, "url": link, "via": src, "excerpt": title})
-    except Exception:
-        pass
-    return out
-
-
-def _topic_source_articles(topic, limit=5):
-    """Return actual scraped article bodies for a topic. Each source becomes one Wall AI post."""
-    try:
-        _ctx, sources = base.web_context(topic, limit=limit)
-    except Exception:
-        sources = []
-    if not sources:
-        sources = _direct_news_rss(topic, limit=10)
-    out, seen = [], set()
-    for s in (sources or [])[:limit * 3]:
-        url = s.get("url") or ""
-        if not url.startswith("http") or url in seen:
-            continue
-        seen.add(url)
-        try:
-            page = base.scrape_any_url(url)
-            raw = (page.get("summary", "") + "\n" + page.get("text", "")).strip()
-            if len(raw) < 180:
-                continue
-            title = page.get("title") or s.get("title") or url
-            via = page.get("via") or s.get("via") or base._domain(url)
-            out.append({
-                "title": title,
-                "url": url,
-                "raw": raw,
-                "image": page.get("image") or "",
-                "via": via,
-                "source": {"title": title, "url": url, "excerpt": raw[:700], "via": via}
-            })
-            if len(out) >= limit:
-                break
-        except Exception:
-            continue
-    if not out:
-        for s in (sources or _direct_news_rss(topic, 6))[:limit]:
-            title = s.get("title") or topic
-            excerpt = s.get("excerpt") or s.get("description") or s.get("content") or title
-            url = s.get("url", "")
-            via = s.get("via") or base._domain(url)
-            out.append({
-                "title": title,
-                "url": url,
-                "raw": excerpt,
-                "image": base.pollinations_image_url(title),
-                "via": via,
-                "source": {"title": title, "url": url, "excerpt": excerpt[:700], "via": via}
-            })
-    return out[:limit]
-
-
-async def qwen_generate_resilient(prompt: str, image_url=None, max_tokens: int = 1200):
-    errors = []
-    token = base._hf_token()
-    try:
-        original = getattr(base, "_original_qwen_generate", None)
-        if original:
-            txt = await original(prompt, image_url=image_url, max_tokens=max_tokens)
-            if txt:
-                base.LAST_QWEN_ERROR = ""
-                return txt
-            if getattr(base, "LAST_QWEN_ERROR", ""):
-                errors.append("sdk: " + str(base.LAST_QWEN_ERROR)[:260])
-    except Exception as e:
-        errors.append(f"sdk: {type(e).__name__}: {str(e)[:260]}")
-    if token:
-        models = []
-        for m in [
-            os.getenv("QWEN_VL_MODEL", ""),
-            "Qwen/Qwen2.5-VL-7B-Instruct",
-            "Qwen/Qwen2.5-VL-3B-Instruct",
-            "Qwen/Qwen2.5-7B-Instruct",
-            "Qwen/Qwen2.5-3B-Instruct",
-            "Qwen/Qwen2.5-1.5B-Instruct",
-        ]:
-            if m and m not in models:
-                models.append(m)
-        headers = {"Authorization": "Bearer " + token, "Content-Type": "application/json"}
-        for model in models:
-            try:
-                is_vl = "VL" in model and bool(image_url)
-                user_content = ([{"type": "image_url", "image_url": {"url": image_url}}, {"type": "text", "text": prompt}] if is_vl else prompt)
-                payload = {
-                    "model": model,
-                    "messages": [
-                        {"role": "system", "content": "Bạn là biên tập viên AI tiếng Việt. Chỉ tóm tắt súc tích nội dung nguồn, không viết lại toàn bài, không lặp ý, không bịa chi tiết."},
-                        {"role": "user", "content": user_content},
-                    ],
-                    "max_tokens": min(int(max_tokens or 900), 1400),
-                    "temperature": 0.35,
-                    "top_p": 0.85,
-                }
-                r = requests.post("https://router.huggingface.co/v1/chat/completions", headers=headers, json=payload, timeout=95)
-                if r.status_code >= 300:
-                    errors.append(f"{model}: HTTP {r.status_code} {r.text[:180]}")
-                    continue
-                j = r.json()
-                txt = (j.get("choices", [{}])[0].get("message", {}).get("content") or "").strip()
-                if txt:
-                    base.LAST_QWEN_ERROR = ""
-                    return txt
-                errors.append(f"{model}: empty response")
-            except Exception as e:
-                errors.append(f"{model}: {type(e).__name__}: {str(e)[:220]}")
-    else:
-        errors.append("missing HF_TOKEN")
-    base.LAST_QWEN_ERROR = " | ".join(errors[-6:]) or "Qwen unavailable; used extractive fallback"
-    print("[qwen resilient fallback]", base.LAST_QWEN_ERROR)
-    return _fallback_summary_from_prompt(prompt, max_units=6)
-
-
-if not hasattr(base, "_original_qwen_generate"):
-    base._original_qwen_generate = base.qwen_generate
-base.qwen_generate = qwen_generate_resilient
-
-
-@app.get('/api/wall')
-def compat_wall():
-    return JSONResponse({'posts': base._load_ai_wall()[:80]})
-
-
-_PATCHED_PATHS = {
-    ('/api/topic_post', 'POST'),
-    ('/api/url_wall', 'POST'),
-    ('/api/rewrite_share', 'POST'),
-    ('/api/ai/short/{post_id}', 'POST'),
-}
-app.router.routes = [
-    r for r in app.router.routes
-    if not any(getattr(r, 'path', None) == p and m in getattr(r, 'methods', set()) for p, m in _PATCHED_PATHS)
-]
-
-
-@app.post('/api/topic_post')
-async def compat_topic_post(request: Request):
-    body = await request.json()
-    topic = base._clean_text(body.get('topic', ''))
-    if not topic:
-        return JSONResponse({'error': 'missing topic'}, status_code=400)
-    articles = _topic_source_articles(topic, limit=4)
-    if not articles:
-        return JSONResponse({'error': 'Không lấy được bài viết nguồn cho chủ đề này.'}, status_code=422)
-    new_posts = []
-    posts = base._load_ai_wall()
-    for art in articles:
-        prompt = f"""Tóm tắt RIÊNG bài viết nguồn sau để đăng Tường AI.
-
-Chủ đề lọc: {topic}
-Tiêu đề bài nguồn: {art['title']}
-Nguồn: {art['via']}
-
-Yêu cầu bắt buộc:
-- Tóm tắt nội dung trong BÀI VIẾT này, không chỉ tiêu đề.
-- Không trộn với bài khác.
-- Không viết lại toàn bộ bài.
-- Không lặp ý.
-- 4-6 gạch đầu dòng, mỗi dòng 1 câu rõ ràng.
-- Giữ số liệu/nhân vật/thời điểm quan trọng nếu có.
-
-Nội dung bài:
-{art['raw'][:14000]}"""
-        text = await base.qwen_generate(prompt, image_url=art.get('image') or None, max_tokens=900)
-        text = _postprocess_ai_text(text, max_units=6)
-        src = [art['source']]
-        if 'Nguồn tham khảo:' not in text:
-            text += "\n\n" + _source_line(src)
-        post = base.make_post(art['title'], text, art.get('image') or base.pollinations_image_url(art['title']), art.get('url') or '', 'topic_article', sources=src)
-        new_posts.append(post)
-    posts = new_posts + posts
-    base._save_ai_wall(posts)
-    return JSONResponse({'post': new_posts[0], 'posts': new_posts, 'count': len(new_posts)})
-
-
-@app.post('/api/url_wall')
-async def compat_url_wall(request: Request):
-    body = await request.json()
-    url = base._clean_text(body.get('url', ''))
-    if not url.startswith('http'):
-        return JSONResponse({'error': 'missing url'}, status_code=400)
-    try:
-        data = base.scrape_any_url(url)
-    except Exception as e:
-        return JSONResponse({'error': 'Không scrape được URL: ' + str(e)[:180]}, status_code=422)
-    raw = (data.get('summary', '') + '\n' + data.get('text', '')).strip()
-    if len(raw) < 120:
-        return JSONResponse({'error': 'URL không có đủ nội dung để tóm tắt'}, status_code=422)
-    prompt = _make_summary_prompt(data.get('title', ''), raw, data.get('via', '') or base._domain(url))
-    text = await base.qwen_generate(prompt, image_url=data.get('image') or None, max_tokens=850)
-    text = _postprocess_ai_text(text, max_units=6)
-    src = [{'title': data.get('title'), 'url': url, 'excerpt': raw[:500], 'via': data.get('via') or base._domain(url)}]
-    if 'Nguồn tham khảo:' not in text:
-        text += "\n\n" + _source_line(src)
-    post = base.make_post(data.get('title') or 'Bài viết', text, data.get('image') or '', url, 'url', sources=src)
-    posts = base._load_ai_wall(); posts.insert(0, post); base._save_ai_wall(posts)
-    return JSONResponse({'post': post})
-
-
-@app.post('/api/rewrite_share')
-async def compat_rewrite_share(request: Request):
-    body = await request.json()
-    url = base._clean_text(body.get('url', ''))
-    if not url.startswith('http'):
-        return JSONResponse({'error': 'missing url'}, status_code=400)
-    try:
-        data = base.scrape_any_url(url)
-    except Exception as e:
-        return JSONResponse({'error': 'Không đọc được bài viết: ' + str(e)[:180]}, status_code=422)
-    raw = (data.get('summary', '') + '\n' + data.get('text', '')).strip()
-    if len(raw) < 120:
-        return JSONResponse({'error': 'Bài viết không đủ nội dung để tóm tắt'}, status_code=422)
-    prompt = _make_summary_prompt(data.get('title', ''), raw, data.get('via', '') or base._domain(url))
-    text = await base.qwen_generate(prompt, image_url=data.get('image') or None, max_tokens=850)
-    text = _postprocess_ai_text(text, max_units=6)
-    src = [{'title': data.get('title'), 'url': url, 'excerpt': raw[:500], 'via': data.get('via') or base._domain(url)}]
-    if 'Nguồn tham khảo:' not in text:
-        text += "\n\n" + _source_line(src)
-    post = base.make_post(data.get('title') or 'Bài viết', text, data.get('image') or '', url, 'summary', sources=src)
-    posts = base._load_ai_wall(); posts.insert(0, post); base._save_ai_wall(posts)
-    return JSONResponse({'post': post})
-
-
-def _emotion_script(text, emotion):
-    text = _clean(text)
-    if emotion == 'urgent':
-        return 'Tin nhanh. ' + text
-    if emotion == 'warm':
-        return 'Câu chuyện đáng chú ý. ' + text
-    if emotion == 'serious':
-        return 'Bản tin nghiêm túc. ' + text
-    if emotion == 'energetic':
-        return 'Cập nhật nổi bật. ' + text
-    return text
-
-
-def _tts_script_smart(post, emotion):
-    raw = base._short_script(post)
-    raw = re.sub(r"^[•\-\*]\s*", "", raw, flags=re.M)
-    raw = re.sub(r"\s*\n\s*", ". ", raw)
-    raw = re.sub(r"([\.\!\?])\s*", r"\1\n", raw)
-    raw = re.sub(r"\n{2,}", "\n", raw).strip()
-    raw = _emotion_script(raw, emotion)
-    if len(raw) > 1000:
-        raw = raw[:1000]
-        cut = max(raw.rfind("."), raw.rfind("!"), raw.rfind("?"))
-        if cut > 350:
-            raw = raw[:cut + 1]
-    return raw
-
-
-def _split_subtitle_sentences(script):
-    parts = []
-    for line in script.splitlines():
-        line = _clean(line)
-        if not line:
-            continue
-        for s in re.split(r"(?<=[\.\!\?])\s+", line):
-            s = _clean(s)
-            if 8 <= len(s) <= 140:
-                parts.append(s)
-    return parts[:12]
-
-
-def _srt_time(sec):
-    ms = int((sec - int(sec)) * 1000)
-    sec = int(sec)
-    h = sec // 3600
-    m = (sec % 3600) // 60
-    s = sec % 60
-    return f"{h:02d}:{m:02d}:{s:02d},{ms:03d}"
-
-
-def _write_srt(script, path, total_duration=30):
-    subs = _split_subtitle_sentences(script)
-    if not subs:
-        subs = [script[:120]]
-    dur = max(2.2, min(5.0, total_duration / max(1, len(subs))))
-    cur = 0.3
-    with open(path, 'w', encoding='utf-8') as f:
-        for i, s in enumerate(subs, 1):
-            start = cur
-            end = cur + dur
-            cur = end + 0.15
-            f.write(f"{i}\n{_srt_time(start)} --> {_srt_time(end)}\n{s}\n\n")
-
-
-def _wrap_text_px(draw, text, font, max_width, max_lines):
-    words = _clean(text).split()
-    lines, cur = [], ""
-    for w in words:
-        test = (cur + " " + w).strip()
-        try:
-            width = draw.textbbox((0, 0), test, font=font)[2]
-        except Exception:
-            width = len(test) * 20
-        if width <= max_width:
-            cur = test
-        else:
-            if cur:
-                lines.append(cur)
-            cur = w
-        if len(lines) >= max_lines:
-            break
-    if cur and len(lines) < max_lines:
-        lines.append(cur)
-    return lines
-
-
-def _make_short_frame_full(post, img_path, out_path):
-    if Image is None:
-        return base._make_short_frame(post, img_path, out_path)
-    W, H = 1080, 1920
-    bg = Image.new("RGB", (W, H), (14, 14, 14))
-    try:
-        im = Image.open(img_path).convert("RGB")
-        target = (1080, 760)
-        im_ratio = im.width / im.height
-        target_ratio = target[0] / target[1]
-        if im_ratio > target_ratio:
-            new_h = target[1]
-            new_w = int(new_h * im_ratio)
-        else:
-            new_w = target[0]
-            new_h = int(new_w / im_ratio)
-        im = im.resize((new_w, new_h))
-        left = (new_w - target[0]) // 2
-        top = (new_h - target[1]) // 2
-        im = im.crop((left, top, left + target[0], top + target[1]))
-        bg.paste(im, (0, 0))
-    except Exception:
-        pass
-    draw = ImageDraw.Draw(bg)
-    try:
-        font_title = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 54)
-        font_body = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 38)
-        font_label = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 30)
-    except Exception:
-        font_title = font_body = font_label = None
-    draw.rectangle((0, 720, W, H), fill=(14, 14, 14))
-    margin = 48
-    maxw = W - margin * 2
-    draw.text((margin, 770), "VNEWS · Tường AI", fill=(92, 184, 122), font=font_label)
-    y = 830
-    for ln in _wrap_text_px(draw, post.get("title", ""), font_title, maxw, 4):
-        draw.text((margin, y), ln, fill=(255, 255, 255), font=font_title)
-        y += 66
-    y += 18
-    text = post.get("text", "")
-    text = re.sub(r"Nguồn tham khảo:.*", "", text, flags=re.S).strip()
-    body_lines = _wrap_text_px(draw, text, font_body, maxw, 14)
-    for ln in body_lines:
-        draw.text((margin, y), ln, fill=(220, 220, 220), font=font_body)
-        y += 50
-        if y > 1640:
-            break
-    bg.save(out_path, quality=92)
-
-
-
-
-def _summary_segments_from_post(post, max_segments=7):
-    raw = _clean(post.get('text') or post.get('title') or '')
-    raw = re.sub(r'^Bản tin AI viết lại:\s*', '', raw, flags=re.I)
-    raw = re.sub(r'Nguồn tham khảo:.*$', '', raw, flags=re.I|re.S).strip()
-    lines=[]
-    for ln in raw.splitlines():
-        ln=_clean(re.sub(r'^[•\-\*\d\.\)\s]+','',ln))
-        if not ln: continue
-        low=ln.lower()
-        if low.startswith(('điểm chính','tiêu đề','sapo','nguồn tham khảo')): continue
-        if len(ln)>=18: lines.append(ln)
-    if len(lines)<2:
-        lines=[]
-        for s in re.split(r'(?<=[\.\!\?])\s+', raw):
-            s=_clean(s)
-            if len(s)>=25: lines.append(s)
-    segs=_dedupe_units(lines, max_units=max_segments)
-    return segs[:max_segments] if segs else [post.get('title','Bản tin VNEWS')]
-
-
-def _make_scene_frame(post, segment, idx, total, img_path, out_path, emotion='neutral'):
-    if Image is None:
-        return _make_short_frame_full(post, img_path, out_path)
-    W,H=1080,1920
-    bg=Image.new('RGB',(W,H),(10,10,10))
-    try:
-        im=Image.open(img_path).convert('RGB')
-        ratio=im.width/max(1,im.height); target=W/H
-        if ratio>target:
-            nh=H; nw=int(nh*ratio)
-        else:
-            nw=W; nh=int(nw/ratio)
-        cover=im.resize((nw,nh)); left=(nw-W)//2; top=(nh-H)//2
-        cover=cover.crop((left,top,left+W,top+H))
-        bg.paste(cover,(0,0))
-        bg=Image.blend(bg, Image.new('RGB',(W,H),(0,0,0)), 0.50)
-        hero_h=720; target=W/hero_h
-        if ratio>target:
-            nh=hero_h; nw=int(nh*ratio)
-        else:
-            nw=W; nh=int(nw/ratio)
-        hero=im.resize((nw,nh)); left=(nw-W)//2; top=(nh-hero_h)//2
-        hero=hero.crop((left,top,left+W,top+hero_h))
-        bg.paste(hero,(0,0))
-    except Exception:
-        pass
-    draw=ImageDraw.Draw(bg)
-    try:
-        font_brand=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',34)
-        font_small=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf',28)
-        font_seg=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',58)
-        font_title=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf',34)
-    except Exception:
-        font_brand=font_small=font_seg=font_title=None
-    draw.rectangle((0,680,W,H), fill=(12,12,12))
-    dot_x=48; dot_y=742
-    for i in range(total):
-        fill=(92,184,122) if i==idx else (70,70,70)
-        draw.rounded_rectangle((dot_x+i*38,dot_y,dot_x+i*38+24,dot_y+10), radius=5, fill=fill)
-    draw.text((48,780),'VNEWS AI SHORT',fill=(110,231,143),font=font_brand)
-    draw.rounded_rectangle((48,834,260,880), radius=20, fill=(28,70,45))
-    draw.text((66,842),f'Đoạn {idx+1}/{total}',fill=(235,235,235),font=font_small)
-    y=940; maxw=W-96
-    for ln in _wrap_text_px(draw, segment, font_seg, maxw, 8):
-        draw.text((48,y),ln,fill=(255,255,255),font=font_seg)
-        y+=74
-        if y>1500: break
-    y2=1640
-    draw.line((48,y2-22,W-48,y2-22),fill=(70,70,70),width=2)
-    for ln in _wrap_text_px(draw, post.get('title',''), font_title, maxw, 3):
-        draw.text((48,y2),ln,fill=(220,220,220),font=font_title)
-        y2+=46
-    bg.save(out_path, quality=92)
-
-
-def _estimate_audio_duration(path, fallback=4.0):
-    try:
-        pr=subprocess.run(['ffprobe','-v','error','-show_entries','format=duration','-of','default=noprint_wrappers=1:nokey=1',path], stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=20)
-        return max(1.5, float((pr.stdout or b'').decode().strip() or fallback))
-    except Exception:
-        return fallback
-
-
-@app.post('/api/ai/short/{post_id}')
-async def patched_ai_short(post_id: str, request: Request):
-    try:
-        body = await request.json()
-    except Exception:
-        body = {}
-    voice = str(body.get('voice', 'nu')).strip().lower()
-    emotion = str(body.get('emotion', 'neutral')).strip().lower()
-    speed = float(body.get('speed', 1.2) or 1.2)
-    speed = max(0.85, min(1.35, speed))
-
-    posts = base._load_ai_wall()
-    post = next((p for p in posts if str(p.get('id')) == str(post_id)), None)
-    if not post:
-        return JSONResponse({'error': 'post not found'}, status_code=404)
-
-    segments = _summary_segments_from_post(post, max_segments=7)
-    seg_hash = hashlib.md5(('|'.join(segments)+voice+emotion+str(speed)).encode('utf-8')).hexdigest()[:8]
-    os.makedirs(base.SHORTS_DIR, exist_ok=True)
-    suffix = f"_{voice}_{emotion}_{str(speed).replace('.', 'p')}_{seg_hash}_scenes_nosub"
-    out_mp4 = os.path.join(base.SHORTS_DIR, base._safe_name(post_id + suffix) + '.mp4')
-    if os.path.exists(out_mp4):
-        post['video'] = '/api/ai/short-file/' + post_id + suffix
-        post['short_voice'] = voice
-        post['short_emotion'] = emotion
-        post['short_speed'] = speed
-        post['short_segments'] = segments
-        post['short_subtitles'] = False
-        base._save_ai_wall(posts)
-        return JSONResponse({'video': post['video'], 'voice': voice, 'emotion': emotion, 'speed': speed, 'subtitles': False, 'segments': segments})
-    if base.gTTS is None:
-        return JSONResponse({'error': 'gTTS chưa sẵn sàng'}, status_code=503)
-
-    work = os.path.join(base.SHORTS_DIR, base._safe_name(post_id + suffix))
-    os.makedirs(work, exist_ok=True)
-    img = os.path.join(work, 'image.jpg')
-    try:
-        base._download_image(post.get('img'), post.get('title', 'AI news'), img)
-        edge_voice = {
-            'nam': 'vi-VN-NamMinhNeural',
-            'male': 'vi-VN-NamMinhNeural',
-            'nu': 'vi-VN-HoaiMyNeural',
-            'female': 'vi-VN-HoaiMyNeural',
-            'mien-nam': 'vi-VN-HoaiMyNeural',
-        }.get(voice, 'vi-VN-HoaiMyNeural')
-        part_files=[]
-        for idx, seg in enumerate(segments):
-            frame=os.path.join(work,f'frame_{idx:02d}.jpg')
-            aud=os.path.join(work,f'voice_{idx:02d}.mp3')
-            aud_fast=os.path.join(work,f'voice_{idx:02d}_fast.mp3')
-            part=os.path.join(work,f'part_{idx:02d}.mp4')
-            _make_scene_frame(post, seg, idx, len(segments), img, frame, emotion=emotion)
-            spoken=_emotion_script(seg, emotion)
-            try:
-                subprocess.run(['python','-m','edge_tts','--voice',edge_voice,'--text',spoken,'--write-media',aud], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=120)
-            except Exception:
-                tld='com.vn' if voice in ('nu','female','mien-nam') else 'com'
-                try:
-                    base.gTTS(spoken, lang='vi', tld=tld, slow=False).save(aud)
-                except TypeError:
-                    base.gTTS(spoken, lang='vi', slow=False).save(aud)
-            subprocess.run(['ffmpeg','-y','-i',aud,'-filter:a',f'atempo={speed}','-vn',aud_fast], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=90)
-            dur=_estimate_audio_duration(aud_fast, fallback=4.0)+0.35
-            subprocess.run(['ffmpeg','-y','-loop','1','-t',str(dur),'-i',frame,'-i',aud_fast,'-shortest','-c:v','libx264','-tune','stillimage','-pix_fmt','yuv420p','-c:a','aac','-b:a','128k',part], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=150)
-            part_files.append(part)
-        concat=os.path.join(work,'concat.txt')
-        with open(concat,'w',encoding='utf-8') as f:
-            for p in part_files:
-                f.write("file '" + p.replace("'", "'\\''") + "'\n")
-        subprocess.run(['ffmpeg','-y','-f','concat','-safe','0','-i',concat,'-c','copy',out_mp4], check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, timeout=180)
-        post['video'] = '/api/ai/short-file/' + post_id + suffix
-        post['short_voice'] = voice
-        post['short_emotion'] = emotion
-        post['short_speed'] = speed
-        post['short_segments'] = segments
-        post['short_subtitles'] = False
-        base._save_ai_wall(posts)
-        return JSONResponse({'video': post['video'], 'voice': voice, 'emotion': emotion, 'speed': speed, 'subtitles': False, 'segments': segments})
-    except Exception as e:
-        return JSONResponse({'error': 'Không tạo được shorts: ' + str(e)[:220]}, status_code=500)
-
-
-@app.get('/api/ai/short-file/{file_id}')
-def patched_ai_short_file(file_id: str):
-    path = os.path.join(base.SHORTS_DIR, base._safe_name(file_id) + '.mp4')
-    if not os.path.exists(path):
-        return JSONResponse({'error': 'not found'}, status_code=404)
-    return FileResponse(path, media_type='video/mp4', filename=f'vnews-ai-{file_id}.mp4')
-
-
-@app.get('/api/ai_shorts')
-def api_ai_shorts():
-    posts = [p for p in base._load_ai_wall() if p.get('video')]
-    return JSONResponse({'posts': posts[:80]})
-
-
-app.router.routes = [r for r in app.router.routes if not (getattr(r, 'path', None) == '/' and 'GET' in getattr(r, 'methods', set()))]
-
-PATCH_INJECT = r'''
-<style>
-.ai-wall-patched{margin:6px 4px;background:#1a1a1a;border:1px solid #2a2a2a;border-radius:8px;overflow:hidden}
-.ai-wall-card{flex:0 0 250px;background:#141414;border:1px solid #2b2b2b;border-radius:10px;padding:8px}
-.ai-wall-img{width:100%;aspect-ratio:16/9;background:#222;border-radius:8px;overflow:hidden;margin-bottom:6px}
-.ai-wall-img img{width:100%;height:100%;object-fit:cover}
-.ai-wall-title{font-size:12px;color:#5cb87a;font-weight:800;line-height:1.3;margin-bottom:4px}
-.ai-wall-text{font-size:11px;color:#bbb;line-height:1.45;white-space:pre-wrap;display:-webkit-box;-webkit-line-clamp:5;-webkit-box-orient:vertical;overflow:hidden}
-.ai-wall-actions{display:flex;gap:6px;margin-top:8px}
-.ai-wall-actions button,.ai-wall-actions select{flex:1;border:1px solid #333;background:#222;color:#ddd;border-radius:14px;padding:6px 8px;font-size:10px;min-width:0}
-.ai-wall-actions button.primary{background:#2d8659;border-color:#2d8659;color:#fff}
-.ai-short-card{flex:0 0 145px}
-.ai-short-video{width:100%;aspect-ratio:9/16;background:#000;border-radius:8px;overflow:hidden}
-.ai-short-video video{width:100%;height:100%;object-fit:cover}
-.ai-short-progress{position:fixed;inset:0;background:rgba(0,0,0,.78);z-index:99999;display:none;align-items:center;justify-content:center;padding:20px}
-.ai-short-progress.active{display:flex}
-.ai-short-box{max-width:420px;width:100%;background:#141414;border:2px solid #2d8659;border-radius:14px;padding:18px;color:#eee;box-shadow:0 0 30px rgba(45,134,89,.35)}
-.ai-short-box h3{color:#5cb87a;margin-bottom:10px}
-.ai-short-step{font-size:13px;line-height:1.55;color:#ccc}
-.ai-short-spinner{width:34px;height:34px;border:4px solid #333;border-top-color:#5cb87a;border-radius:50%;animation:spin 1s linear infinite;margin:10px auto}
-@keyframes spin{to{transform:rotate(360deg)}}
-</style>
-<div id="ai-short-progress" class="ai-short-progress"><div class="ai-short-box"><h3>🎬 Đang tạo Short AI</h3><div class="ai-short-spinner"></div><div class="ai-short-step" id="ai-short-step">Đang chuẩn bị...</div></div></div>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]));}
-let patchedWall=[];let aiShorts=[];
-function showProgress(msg){let box=document.getElementById('ai-short-progress');let st=document.getElementById('ai-short-step');if(st)st.innerHTML=msg;if(box)box.classList.add('active');}
-function hideProgress(){document.getElementById('ai-short-progress')?.classList.remove('active');}
-function updateAiLabels(){document.querySelectorAll('.ai-compose-title').forEach(e=>e.textContent='🤖 Tường AI: lọc từng bài theo chủ đề, tóm tắt nội dung bài');document.querySelectorAll('button').forEach(b=>{if((b.textContent||'').includes('AI viết lại'))b.textContent='🤖 Tóm tắt AI & đăng tường';});}
-async function loadPatchedWall(){try{const r=await fetch('/api/ai_wall');const j=await r.json();patchedWall=j.posts||[];renderPatchedWall();updateAiLabels();}catch(e){}try{const r2=await fetch('/api/ai_shorts');const j2=await r2.json();aiShorts=j2.posts||[];renderAiShorts();}catch(e){}}
-function renderAiShorts(){const home=document.getElementById('view-home');if(!home)return;document.getElementById('ai-shorts-patched')?.remove();if(!aiShorts.length)return;let wrap=document.createElement('div');wrap.id='ai-shorts-patched';wrap.className='ai-wall-patched';let h='<div class="slider-header"><span class="slider-label">🎬 Short AI</span><span class="slider-note">Video đã tạo</span></div><div class="slider-track">';aiShorts.slice(0,30).forEach((p,i)=>{h+=`<div class="ai-short-card" onclick="aiReadShortPatched(${i})"><div class="ai-short-video"><video src="${p.video}" muted playsinline preload="metadata"></video></div><div class="slider-title">${esc(p.title)}</div></div>`});h+='</div>';wrap.innerHTML=h;let wall=document.getElementById('ai-wall-patched');if(wall)wall.after(wrap);else home.prepend(wrap);}
-function renderPatchedWall(){const home=document.getElementById('view-home');if(!home)return;document.getElementById('ai-wall-patched')?.remove();if(!patchedWall.length)return;let wrap=document.createElement('div');wrap.id='ai-wall-patched';wrap.className='ai-wall-patched';let h='<div class="slider-header"><span class="slider-label">🧱 Tường AI</span><span class="slider-note">Mỗi nguồn = một bài tóm tắt</span></div><div class="slider-track">';patchedWall.slice(0,30).forEach((p,i)=>{h+=`<div class="ai-wall-card"><div class="ai-wall-img">${p.img?`<img src="${p.img}">`:''}</div><div class="ai-wall-title">${esc(p.title)}</div><div class="ai-wall-text">${esc(p.text)}</div><div class="ai-wall-actions"><button onclick="aiReadWallPatched(${i})">Xem</button><button class="primary" onclick="aiMakeShortPatched(${i})">Shorts</button></div></div>`});h+='</div>';wrap.innerHTML=h;let after=document.querySelector('.ai-compose');if(after)after.after(wrap);else home.prepend(wrap);}
-window.aiReadShortPatched=function(i){const p=aiShorts[i];if(!p)return;showView('view-article');let h=`<button class="back-btn" onclick="switchCat('home')">← Quay lại</button><div class="article-view"><span class="badge badge-ai">Short AI</span><h1 class="article-title">${esc(p.title)}</h1><video class="article-img" src="${p.video}" controls playsinline autoplay></video><p class="article-p" style="white-space:pre-wrap">${esc(p.text||'')}</p><div class="article-actions"><button onclick="window.open('${p.video}','_blank')">⬇ Mở video</button>${p.url?`<button onclick="window.open('${p.url}','_blank')">🔗 Nguồn</button>`:''}</div></div>`;document.getElementById('view-article').innerHTML=h;window.scrollTo(0,0)};
-window.aiReadWallPatched=function(i){const p=patchedWall[i];if(!p)return;showView('view-article');let sources='';if(p.sources&&p.sources.length){sources='<div class="article-summary"><b>Nguồn tham khảo:</b><br>'+p.sources.slice(0,5).map(s=>`• ${esc(s.title||s.url||'Nguồn')} ${s.url?`(${esc(new URL(s.url).hostname.replace('www.',''))})`:''}`).join('<br>')+'</div>'}let voiceBox=`<div class="article-actions"><select id="ai-short-voice"><option value="nu">Giọng nữ Việt</option><option value="nam">Giọng nam Việt</option><option value="mien-nam">Giọng miền Nam</option></select><select id="ai-short-emotion"><option value="neutral">Trung tính</option><option value="urgent">Tin nhanh</option><option value="warm">Ấm áp</option><option value="serious">Nghiêm túc</option><option value="energetic">Sôi nổi</option></select><button onclick="aiMakeShortPatched(${i})">🎬 Tạo video shorts</button></div>`;let h=`<button class="back-btn" onclick="switchCat('home')">← Quay lại</button><div class="article-view"><span class="badge badge-ai">AI</span><h1 class="article-title">${esc(p.title)}</h1>${p.img?`<img class="article-img" src="${p.img}">`:''}${sources}<p class="article-p" style="white-space:pre-wrap">${esc(p.text)}</p>${p.video?`<video class="article-img" src="${p.video}" controls playsinline></video>`:''}<div class="article-actions">${p.url?`<button onclick="window.open('${p.url}','_blank')">🔗 Nguồn</button>`:''}</div>${voiceBox}</div>`;document.getElementById('view-article').innerHTML=h;window.scrollTo(0,0)};
-window.aiMakeShortPatched=async function(i){const p=patchedWall[i];if(!p)return;let voice=document.getElementById('ai-short-voice')?.value||'nu';let emotion=document.getElementById('ai-short-emotion')?.value||'neutral';let voiceName={nu:'Giọng nữ Việt',nam:'Giọng nam Việt','mien-nam':'Giọng miền Nam'}[voice]||voice;let emotionName={neutral:'Trung tính',urgent:'Tin nhanh',warm:'Ấm áp',serious:'Nghiêm túc',energetic:'Sôi nổi'}[emotion]||emotion;let ok=confirm(`Quy trình tạo short AI:\n\n1) Dùng ảnh đại diện của bài hoặc tạo ảnh minh họa nếu thiếu.\n2) Rút gọn nội dung tóm tắt thành kịch bản đọc ngắn.\n3) Tự ngắt câu theo dấu câu và xuống dòng hợp lý.\n4) Tạo giọng đọc tiếng Việt: ${voiceName}.\n5) Áp dụng cảm xúc/kịch bản: ${emotionName}.\n6) Tăng tốc giọng đọc 1.2 lần.\n7) Mỗi đoạn tóm tắt sẽ là một cảnh riêng theo thời lượng đọc.\n8) Không thêm phụ đề; video chỉ có chữ cảnh và giọng đọc.\n9) Sau khi xong, video xuất hiện ở slide "Short AI".\n\nQuá trình có thể mất 1-3 phút. Bạn muốn bắt đầu?`);if(!ok)return;try{showProgress(`Bước 1/5: Chuẩn bị ảnh và căn chữ full width...<br>Bước 2/5: Tạo kịch bản, tự ngắt câu/xuống dòng...<br>Bước 3/5: Tạo giọng đọc ${voiceName}, cảm xúc ${emotionName}.<br>Bước 4/5: Tăng tốc 1.2x và ghép từng cảnh riêng, không phụ đề.<br>Bước 5/5: Lưu vào slide "Short AI".`);const r=await fetch('/api/ai/short/'+p.id,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({voice,emotion,speed:1.2})});const j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');p.video=j.video;hideProgress();alert('Hoàn tất: video shorts đã được tạo và thêm vào slide "Short AI".');aiReadWallPatched(i);loadPatchedWall();}catch(e){hideProgress();alert('Không tạo được shorts: '+e.message)}};
-window.createTopicPost=function(){let inp=document.getElementById('ai-topic-input');let topic=(inp&&inp.value||'').trim();if(!topic)return alert('Nhập chủ đề trước');fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})}).then(r=>r.json().then(j=>({ok:r.ok,j}))).then(({ok,j})=>{if(ok&&(j.posts||j.post)){let arr=j.posts||[j.post];patchedWall=arr.concat(patchedWall.filter(x=>!arr.find(y=>y.id===x.id)));renderPatchedWall();if(inp)inp.value='';alert(`Đã lọc và tóm tắt ${arr.length} bài viết theo chủ đề lên Tường AI`);}else alert(j.error||'Lỗi tạo bài')}).catch(e=>alert(e.message||'Lỗi tạo bài'));};
-window.createUrlPost=function(){let inp=document.getElementById('ai-url-input');let url=(inp&&inp.value||'').trim();if(!url)return alert('Dán URL trước');if(!/^https?:\/\//i.test(url))return alert('URL cần bắt đầu bằng http:// hoặc https://');fetch('/api/url_wall',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url})}).then(r=>r.json().then(j=>({ok:r.ok,j}))).then(({ok,j})=>{if(ok&&j.post){patchedWall=[j.post].concat(patchedWall.filter(x=>x.id!==j.post.id));renderPatchedWall();if(inp)inp.value='';alert('Đã tóm tắt URL và đăng lên Tường AI');}else alert(j.error||'Lỗi URL')}).catch(e=>alert(e.message||'Lỗi URL'));};
-window.rewriteCurrentArticle=function(){if(!window._currentArticle&&typeof _currentArticle!=='undefined')window._currentArticle=_currentArticle;let cur=window._currentArticle||_currentArticle;if(!cur)return;let btn=document.querySelector('.article-actions button.primary');if(btn){btn.textContent='Đang tóm tắt...';btn.disabled=true}fetch('/api/rewrite_share',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url:cur.url})}).then(r=>r.json().then(j=>({ok:r.ok,j}))).then(({ok,j})=>{if(ok&&j.post){document.getElementById('rewrite-result').innerHTML=`<div class="rewrite-box"><div class="rewrite-title">Đã tóm tắt và đăng Tường AI</div><div class="rewrite-text">${esc(j.post.text||'')}</div></div>`;patchedWall=[j.post].concat(patchedWall.filter(x=>x.id!==j.post.id));renderPatchedWall();alert('Đã tóm tắt lên Tường AI');}else alert(j.error||'Không tóm tắt được')}).catch(e=>alert(e.message||'Lỗi tóm tắt')).finally(()=>{if(btn){btn.textContent='🤖 Tóm tắt AI & đăng tường';btn.disabled=false}})};
-setTimeout(loadPatchedWall,1500);setInterval(updateAiLabels,2000);
-})();
-</script>
-'''
-
-@app.get('/')
-async def index_patched():
-    with open('/app/static/index.html','r',encoding='utf-8') as f:
-        html=f.read()
-    return HTMLResponse(html.replace('</body>', PATCH_INJECT+'\n</body>'))

ai_runtime.py

@@ -1,357 +0,0 @@
-import os, re, subprocess, json, time, hashlib
-import ai_patch as old
-from ai_patch import app
-import ai_ext as base
-from fastapi import Request
-from fastapi.responses import JSONResponse, HTMLResponse, FileResponse
-try:
-    from PIL import Image, ImageDraw, ImageFont
-except Exception:
-    Image = ImageDraw = ImageFont = None
-
-
-def clean(s):
-    import html as html_lib
-    return re.sub(r"\s+", " ", html_lib.unescape(s or "")).strip()
-
-
-def _domain(url):
-    try:
-        from urllib.parse import urlparse
-        return urlparse(url or '').netloc.replace('www.','')
-    except Exception:
-        return ''
-
-
-def _strip_bullet_prefix(s):
-    # remove bullets, numbered prefixes, leading dots commonly produced by AI summaries
-    return clean(re.sub(r'^[\s•\-\*·▪▫●○\d\.\)\(]+', '', s or ''))
-
-
-def source_line(sources):
-    names=[]
-    for s in (sources or [])[:5]:
-        via=s.get('via') or _domain(s.get('url','')) or s.get('title','')
-        if via and via not in names:names.append(via)
-    return 'Nguồn tham khảo: '+', '.join(names[:5]) if names else 'Nguồn tham khảo: tổng hợp internet'
-
-
-def _source_badge(post):
-    sources=post.get('sources') or []
-    for s in sources:
-        via=s.get('via') or _domain(s.get('url',''))
-        if via:return via
-    return _domain(post.get('url','')) or post.get('source') or 'VNEWS'
-
-
-def _collect_all_images(data):
-    imgs=[]
-    def add(u):
-        u=(u or '').strip()
-        if not u or u.startswith('data:') or 'base64' in u:return
-        if u.startswith('//'):u='https:'+u
-        if u not in imgs:imgs.append(u)
-    add(data.get('image') or data.get('og_image') or data.get('img'))
-    for u in data.get('images') or []:add(u)
-    for b in data.get('body') or []:
-        if isinstance(b,dict) and b.get('type')=='img':add(b.get('src'))
-    return imgs[:20]
-
-
-def _scrape_url_with_images(url):
-    data=base.scrape_any_url(url)
-    # extra pass: collect every useful image from original HTML, because some readers only return one image
-    try:
-        import requests
-        from bs4 import BeautifulSoup
-        r=requests.get(url,headers=base.HEADERS,timeout=18);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'lxml')
-        extra=[]
-        for im in soup.find_all('img'):
-            src=im.get('data-src') or im.get('data-original') or im.get('data-lazy-src') or im.get('src') or ''
-            if src.startswith('//'):src='https:'+src
-            if src and 'base64' not in src and src not in extra:
-                # skip tiny icons/logos as much as possible
-                low=src.lower()
-                if any(x in low for x in ['logo','icon','avatar','sprite']):
-                    continue
-                extra.append(src)
-            if len(extra)>=20:break
-        data['images']=_collect_all_images(data)+[u for u in extra if u not in _collect_all_images(data)]
-    except Exception:
-        data['images']=_collect_all_images(data)
-    data['images']=_collect_all_images(data)
-    if data['images'] and not data.get('image'):
-        data['image']=data['images'][0]
-    return data
-
-
-def rich_context(topic, limit=5):
-    try: ctx,sources=base.web_context(topic, limit=limit)
-    except Exception: ctx,sources='',[]
-    rich=[];rs=[];seen=set()
-    for s in (sources or [])[:limit*2]:
-        url=s.get('url') or ''
-        if not url.startswith('http') or url in seen:continue
-        seen.add(url)
-        try:
-            data=base.scrape_any_url(url)
-            raw=(data.get('summary','')+'\n'+data.get('text','')).strip()
-            if len(raw)<180:continue
-            title=data.get('title') or s.get('title') or url
-            via=data.get('via') or s.get('via') or _domain(url)
-            rich.append(f"### {title} ({via})\n{raw[:2600]}")
-            rs.append({'title':title,'url':url,'excerpt':raw[:700],'via':via})
-            if len(rich)>=limit:break
-        except Exception:continue
-    if rich:return '\n\n'.join(rich),rs
-    return ctx or f'Chủ đề: {topic}', sources or []
-
-
-def postprocess(text):
-    if hasattr(old,'_postprocess_ai_text'):
-        out=old._postprocess_ai_text(text, max_units=7)
-    else:
-        out=clean(text)
-    # keep wall text readable, but ensure short generation later won't show bullets
-    return out
-
-
-# Remove old routes we must override.
-_PATCH={('/api/topic_post','POST'),('/api/url_wall','POST'),('/api/rewrite_share','POST'),('/api/ai/url','POST'),('/api/ai/short/{post_id}','POST'),('/api/ai/short-file/{file_id}','GET'),('/','GET')}
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-
-@app.post('/api/url_wall')
-async def url_wall_only(request:Request):
-    body=await request.json();url=base._clean_text(body.get('url',''))
-    if not url.startswith('http'):return JSONResponse({'error':'missing url'},status_code=400)
-    try:data=_scrape_url_with_images(url)
-    except Exception as e:return JSONResponse({'error':'Không scrape được URL: '+str(e)[:180]},status_code=422)
-    raw=(data.get('summary','')+'\n'+data.get('text','')).strip()
-    if len(raw)<120:return JSONResponse({'error':'URL không có đủ nội dung để tóm tắt'},status_code=422)
-    prompt=f"""Tóm tắt bài viết nguồn dưới đây để đăng lên Tường AI VNEWS.
-
-Yêu cầu bắt buộc:
-- Chỉ tóm tắt nội dung chính, không viết lại toàn bộ bài.
-- Ngắn gọn, cụ thể, dễ hiểu.
-- Không lặp lại ý và không thêm chi tiết ngoài nguồn.
-- Tối đa 5 ý chính hoặc 2 đoạn ngắn.
-- Tránh dùng dấu đầu dòng nếu không thật cần thiết.
-
-Tiêu đề gốc: {data.get('title','')}
-Nguồn: {data.get('via','') or _domain(url)}
-Nội dung gốc:
-{raw[:16000]}"""
-    text=await base.qwen_generate(prompt,image_url=(data.get('image') or None),max_tokens=900)
-    if not text:text=old._fallback_summary_from_prompt(prompt,max_units=5) if hasattr(old,'_fallback_summary_from_prompt') else raw[:900]
-    text=postprocess(text)
-    src=[{'title':data.get('title'), 'url':url, 'excerpt':raw[:500], 'via':data.get('via') or _domain(url)}]
-    if 'Nguồn tham khảo:' not in text:text+='\n\n'+source_line(src)
-    images=_collect_all_images(data)
-    post=base.make_post(data.get('title') or 'Bài viết',text,images[0] if images else (data.get('image') or ''),url,'url',sources=src)
-    post['images']=images
-    posts=base._load_ai_wall();posts.insert(0,post);base._save_ai_wall(posts)
-    return JSONResponse({'post':post})
-
-
-@app.post('/api/rewrite_share')
-async def rewrite_share_url_only(request:Request):
-    return await url_wall_only(request)
-
-
-@app.post('/api/ai/url')
-async def ai_url_compat(request:Request):
-    return await url_wall_only(request)
-
-
-@app.post('/api/topic_post')
-async def topic_disabled(request:Request):
-    return JSONResponse({'error':'Đã tắt tạo bài theo chủ đề. Vui lòng dán URL bài viết để AI tóm tắt.'},status_code=410)
-
-
-def split_segments(post,max_segments=8):
-    text=clean(post.get('text') or post.get('title') or '')
-    text=re.sub(r'Nguồn tham khảo:.*$','',text,flags=re.I|re.S).strip()
-    lines=[]
-    for ln in text.splitlines():
-        ln=_strip_bullet_prefix(ln)
-        if len(ln)>=18:lines.append(ln)
-    if len(lines)<2:
-        lines=[_strip_bullet_prefix(s) for s in re.split(r'(?<=[\.\!\?])\s+',text) if len(_strip_bullet_prefix(s))>=25]
-    segs=[];cur=''
-    for ln in lines:
-        ln=_strip_bullet_prefix(ln)
-        if not ln:continue
-        if len(cur)+len(ln)<180:cur=(cur+' '+ln).strip()
-        else:
-            if cur:segs.append(_strip_bullet_prefix(cur))
-            cur=ln
-    if cur:segs.append(_strip_bullet_prefix(cur))
-    return segs[:max_segments] or [_strip_bullet_prefix(post.get('title','VNEWS'))]
-
-
-def wrap_text(draw,text,font,maxw,max_lines):
-    words=clean(text).split();lines=[];cur=''
-    for w in words:
-        test=(cur+' '+w).strip()
-        try:width=draw.textbbox((0,0),test,font=font)[2]
-        except Exception:width=len(test)*20
-        if width<=maxw:cur=test
-        else:
-            if cur:lines.append(cur)
-            cur=w
-        if len(lines)>=max_lines:break
-    if cur and len(lines)<max_lines:lines.append(cur)
-    return lines
-
-
-def _draw_center(draw, lines, font, y, fill, W, line_h):
-    for ln in lines:
-        try:
-            box=draw.textbbox((0,0),ln,font=font);tw=box[2]-box[0]
-        except Exception:
-            tw=len(ln)*24
-        x=max(30,(W-tw)//2)
-        draw.text((x,y),ln,fill=fill,font=font)
-        y+=line_h
-    return y
-
-
-def make_frame(post,seg,idx,total,img_path,out_path):
-    if Image is None:raise RuntimeError('Pillow not ready')
-    W,H=1080,1920;bg=Image.new('RGB',(W,H),(12,12,12))
-    hero_h=760
-    try:
-        im=Image.open(img_path).convert('RGB');ratio=im.width/max(1,im.height)
-        target=(W,hero_h);tr=target[0]/target[1]
-        if ratio>tr:nh=target[1];nw=int(nh*ratio)
-        else:nw=target[0];nh=int(nw/ratio)
-        im=im.resize((nw,nh));left=(nw-target[0])//2;top=(nh-target[1])//2
-        bg.paste(im.crop((left,top,left+target[0],top+target[1])),(0,0))
-    except Exception:pass
-    draw=ImageDraw.Draw(bg)
-    try:
-        fb=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',58)
-        ft=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',38)
-        fs=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf',30)
-        fsmall=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',28)
-    except Exception:fb=ft=fs=fsmall=None
-    # source badge on top image corner
-    badge='Nguồn: '+_source_badge(post)
-    try:
-        b=draw.textbbox((0,0),badge,font=fsmall);bw=b[2]-b[0];bh=b[3]-b[1]
-    except Exception:
-        bw=len(badge)*16;bh=34
-    bx=W-bw-42;by=24
-    draw.rounded_rectangle((bx-16,by-8,W-24,by+bh+14),radius=18,fill=(0,0,0,170))
-    draw.text((bx,by),badge,fill=(255,255,255),font=fsmall)
-    # bottom text area
-    draw.rectangle((0,hero_h-20,W,H),fill=(12,12,12))
-    # progress bars centered
-    total_w=total*38-14;start=(W-total_w)//2
-    for i in range(total):
-        fill=(92,184,122) if i==idx else (70,70,70)
-        draw.rounded_rectangle((start+i*38,820,start+i*38+24,832),radius=6,fill=fill)
-    brand='VNEWS AI SHORT'
-    try:
-        bb=draw.textbbox((0,0),brand,font=ft);tx=(W-(bb[2]-bb[0]))//2
-    except Exception:tx=360
-    draw.text((tx,870),brand,fill=(110,231,143),font=ft)
-    clean_seg=_strip_bullet_prefix(seg)
-    lines=wrap_text(draw,clean_seg,fb,W-120,8)
-    block_h=len(lines)*74
-    y=max(980, 1250-block_h//2)
-    _draw_center(draw,lines,fb,y,(255,255,255),W,74)
-    # small title centered near bottom
-    title_lines=wrap_text(draw,_strip_bullet_prefix(post.get('title','')),fs,W-120,3)
-    y2=1640
-    draw.line((80,y2-26,W-80,y2-26),fill=(70,70,70),width=2)
-    _draw_center(draw,title_lines,fs,y2,(220,220,220),W,42)
-    bg.save(out_path,quality=92)
-
-
-def make_tts(text,voice,out_path):
-    v={'nam':'vi-VN-NamMinhNeural','male':'vi-VN-NamMinhNeural','nu':'vi-VN-HoaiMyNeural','female':'vi-VN-HoaiMyNeural','mien-nam':'vi-VN-HoaiMyNeural'}.get(voice,'vi-VN-HoaiMyNeural')
-    text=_strip_bullet_prefix(text)
-    try:subprocess.run(['python','-m','edge_tts','--voice',v,'--text',text,'--write-media',out_path],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=160)
-    except Exception:
-        tld='com.vn' if voice in ('nu','female','mien-nam') else 'com'
-        try:base.gTTS(text,lang='vi',tld=tld,slow=False).save(out_path)
-        except TypeError:base.gTTS(text,lang='vi',slow=False).save(out_path)
-
-
-@app.post('/api/ai/short/{post_id}')
-async def short_segments(post_id:str,request:Request):
-    try:body=await request.json()
-    except Exception:body={}
-    voice=str(body.get('voice','nu')).lower().strip();emotion=str(body.get('emotion','neutral')).lower().strip();speed=max(0.85,min(1.35,float(body.get('speed',1.2) or 1.2)))
-    posts=base._load_ai_wall();post=next((p for p in posts if str(p.get('id'))==str(post_id)),None)
-    if not post:return JSONResponse({'error':'post not found'},status_code=404)
-    segs=split_segments(post,8)
-    os.makedirs(base.SHORTS_DIR,exist_ok=True);suffix=f'_{voice}_{emotion}_{str(speed).replace(".","p")}_centered_source_nobullet'
-    out=os.path.join(base.SHORTS_DIR,base._safe_name(post_id+suffix)+'.mp4')
-    if os.path.exists(out):post['video']='/api/ai/short-file/'+post_id+suffix;base._save_ai_wall(posts);return JSONResponse({'video':post['video'],'segments':len(segs),'subtitles':False})
-    work=os.path.join(base.SHORTS_DIR,base._safe_name(post_id+suffix));os.makedirs(work,exist_ok=True)
-    img=os.path.join(work,'image.jpg');base._download_image(post.get('img'),post.get('title','AI news'),img)
-    clips=[]
-    try:
-        for i,seg in enumerate(segs):
-            frame=os.path.join(work,f'f{i}.jpg');aud=os.path.join(work,f'a{i}.mp3');aud2=os.path.join(work,f'a{i}_fast.mp3');clip=os.path.join(work,f'c{i}.mp4')
-            seg=_strip_bullet_prefix(seg)
-            make_frame(post,seg,i,len(segs),img,frame)
-            prefix={'urgent':'Tin nhanh.','warm':'Câu chuyện đáng chú ý.','serious':'Bản tin nghiêm túc.','energetic':'Cập nhật nổi bật.'}.get(emotion,'')
-            spoken=(prefix+' '+seg).strip() if i==0 and prefix else seg
-            make_tts(spoken,voice,aud)
-            subprocess.run(['ffmpeg','-y','-i',aud,'-filter:a',f'atempo={speed}','-vn',aud2],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=120)
-            subprocess.run(['ffmpeg','-y','-loop','1','-i',frame,'-i',aud2,'-shortest','-c:v','libx264','-tune','stillimage','-pix_fmt','yuv420p','-c:a','aac','-b:a','128k','-vf','scale=1080:1920',clip],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=180)
-            clips.append(clip)
-        lf=os.path.join(work,'list.txt')
-        with open(lf,'w',encoding='utf-8') as f:
-            for c in clips:f.write("file '{}".format(c.replace("'","'\\''"))+"'\n")
-        subprocess.run(['ffmpeg','-y','-f','concat','-safe','0','-i',lf,'-c','copy',out],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=240)
-        post['video']='/api/ai/short-file/'+post_id+suffix;post['short_subtitles']=False;post['short_segments']=segs;post['short_speed']=speed;base._save_ai_wall(posts)
-        return JSONResponse({'video':post['video'],'segments':len(segs),'subtitles':False})
-    except Exception as e:return JSONResponse({'error':'Không tạo được shorts: '+str(e)[:200]},status_code=500)
-
-
-@app.get('/api/ai/short-file/{file_id}')
-def short_file(file_id:str):
-    path=os.path.join(base.SHORTS_DIR,base._safe_name(file_id)+'.mp4')
-    if not os.path.exists(path):return JSONResponse({'error':'not found'},status_code=404)
-    return FileResponse(path,media_type='video/mp4',filename=f'vnews-ai-{file_id}.mp4')
-
-
-# Rebuild / with old UI injection plus final UI overrides.
-app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))]
-@app.get('/')
-async def index_runtime():
-    with open('/app/static/index.html','r',encoding='utf-8') as f:html=f.read()
-    inject=getattr(old,'PATCH_INJECT','')+r'''
-<style>
-/* Hide old topic UI, keep URL input only */
-#ai-topic-input{display:none!important}
-#ai-topic-input,*[onclick*="createTopicPost"]{display:none!important}
-.ai-topic-row,.topic-row,.ai-compose-topic{display:none!important}
-.ai-wall-gallery{display:grid;grid-template-columns:repeat(2,1fr);gap:6px;margin:10px 0}.ai-wall-gallery img{width:100%;aspect-ratio:16/9;object-fit:cover;border-radius:8px;background:#222}.ai-wall-gallery img:first-child{grid-column:1/-1}.ai-url-only-note{font-size:11px;color:#888;margin:5px 0 8px}
-</style>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]));}
-function hideTopicControls(){
-  document.querySelectorAll('#ai-topic-input').forEach(e=>{let p=e.closest('.ai-compose,.ai-compose-topic,.topic-row,div'); if(p&&p.querySelector('#ai-url-input')) e.style.display='none'; else if(p) p.style.display='none';});
-  document.querySelectorAll('button').forEach(b=>{let t=(b.textContent||'').toLowerCase();let oc=b.getAttribute('onclick')||'';if(oc.includes('createTopicPost')||t.includes('chủ đề'))b.style.display='none';});
-  let url=document.getElementById('ai-url-input'); if(url&&!document.getElementById('ai-url-only-note')){let n=document.createElement('div');n.id='ai-url-only-note';n.className='ai-url-only-note';n.textContent='Dán URL bài viết để AI tóm tắt và lấy ảnh từ bài.';url.insertAdjacentElement('afterend',n);}
-}
-window.createTopicPost=function(){alert('Đã tắt ô nhập chủ đề. Vui lòng dán URL bài viết.');};
-window.createUrlPost=function(){let inp=document.getElementById('ai-url-input');let url=(inp&&inp.value||'').trim();if(!url)return alert('Dán URL trước');if(!/^https?:\/\//i.test(url))return alert('URL cần bắt đầu bằng http:// hoặc https://');fetch('/api/url_wall',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url})}).then(r=>r.json().then(j=>({ok:r.ok,j}))).then(({ok,j})=>{if(ok&&j.post){if(typeof prependWallPost==='function')prependWallPost(j.post);if(window.patchedWall)window.patchedWall=[j.post].concat(window.patchedWall||[]);if(inp)inp.value='';alert('Đã tóm tắt URL, lấy ảnh trong bài và đăng lên Tường AI');location.reload();}else alert(j.error||'Lỗi URL')}).catch(e=>alert(e.message||'Lỗi URL'));};
-function galleryHtml(p){let imgs=(p.images||[]).filter(Boolean);if(!imgs.length&&p.img)imgs=[p.img];if(!imgs.length)return '';return '<div class="ai-wall-gallery">'+imgs.slice(0,12).map(u=>`<img src="${esc(u)}" loading="lazy">`).join('')+'</div>';}
-function patchReaders(){
-  let oldRead=window.aiReadWallPatched||window.aiReadWall;
-  window.aiReadWallPatched=window.aiReadWall=function(i){let arr=window.patchedWall||window.aiWall||[];let p=arr[i];if(!p&&oldRead)return oldRead(i);if(!p)return;showView('view-article');let sources='';if(p.sources&&p.sources.length){sources='<div class="article-summary"><b>Nguồn tham khảo:</b><br>'+p.sources.slice(0,5).map(s=>`• ${esc(s.title||s.url||'Nguồn')} ${s.url?`(${esc(new URL(s.url).hostname.replace('www.',''))})`:''}`).join('<br>')+'</div>'}let h=`<button class="back-btn" onclick="switchCat('home')">← Quay lại</button><div class="article-view"><span class="badge badge-ai">AI</span><h1 class="article-title">${esc(p.title)}</h1>${galleryHtml(p)}${sources}<p class="article-p" style="white-space:pre-wrap">${esc(p.text)}</p>${p.video?`<video class="article-img" src="${p.video}" controls playsinline></video>`:''}<div class="article-actions">${p.url?`<button onclick="window.open('${p.url}','_blank')">🔗 Nguồn</button>`:''}<button onclick="aiMakeShortPatched?aiMakeShortPatched(${i}):aiMakeShort(${i})">🎬 Tạo video shorts</button></div></div>`;document.getElementById('view-article').innerHTML=h;window.scrollTo(0,0);};
-}
-setInterval(hideTopicControls,1000);setTimeout(hideTopicControls,300);setTimeout(patchReaders,1600);
-})();
-</script>
-'''
-    return HTMLResponse(html.replace('</body>',inject+'\n</body>') if '</body>' in html else html+inject)

ai_runtime_final.py

@@ -1,315 +0,0 @@
-"""Final runtime overrides for VNEWS AI UI, article-only images, shareable AI wall, and robust Vietnamese shorts."""
-import os, re, requests, subprocess, time
-from urllib.parse import urlparse, quote
-import ai_runtime as rt
-from ai_runtime import app
-import ai_ext as base
-from fastapi import Request, Query
-from fastapi.responses import HTMLResponse, JSONResponse, FileResponse
-try:
-    from PIL import Image, ImageDraw, ImageFont
-except Exception:
-    Image = ImageDraw = ImageFont = None
-
-RESTORE_INDEX_URL = "https://huggingface.co/spaces/bep40/vnews/raw/restore-33c3dda/static/index.html"
-SPACE_URL = "https://bep40-vnews.hf.space"
-DEFAULT_IMG = "https://s1.vnecdn.net/vnexpress/restruct/i/v9505/logo_default.jpg"
-
-# Only voices that support Vietnamese reliably. Extra labels map to these Vietnamese neural voices.
-VN_VOICES = {
-    "nu": "vi-VN-HoaiMyNeural", "female": "vi-VN-HoaiMyNeural", "hoaimy": "vi-VN-HoaiMyNeural",
-    "nu-tre": "vi-VN-HoaiMyNeural", "nu-truyen-cam": "vi-VN-HoaiMyNeural", "nu-tin-nhanh": "vi-VN-HoaiMyNeural",
-    "nam": "vi-VN-NamMinhNeural", "male": "vi-VN-NamMinhNeural", "namminh": "vi-VN-NamMinhNeural",
-    "nam-tram": "vi-VN-NamMinhNeural", "nam-ban-tin": "vi-VN-NamMinhNeural", "nam-nang-dong": "vi-VN-NamMinhNeural",
-}
-
-
-def clean(s):
-    import html as html_lib
-    return re.sub(r"\s+", " ", html_lib.unescape(s or "")).strip()
-
-
-def _domain(url):
-    try:return urlparse(url or '').netloc.replace('www.','')
-    except Exception:return ''
-
-
-def _strip_bullet_prefix(s):
-    return clean(re.sub(r'^[\s•\-\*·▪▫●○\d\.\)\(]+', '', s or ''))
-
-
-def _source_badge_url_first(post):
-    d=_domain(post.get('url',''))
-    if d:return d
-    for s in post.get('sources') or []:
-        d=_domain(s.get('url',''))
-        if d:return d
-    return 'VNEWS'
-
-
-def _abs_url(src, base_url):
-    if not src:return ''
-    src=src.strip()
-    if src.startswith('//'):return 'https:'+src
-    if src.startswith('/'):
-        try:
-            p=urlparse(base_url);return f'{p.scheme}://{p.netloc}{src}'
-        except Exception:return src
-    return src
-
-
-def _article_content_block(soup):
-    for tag in soup.find_all(['script','style','nav','footer','aside','form','noscript','iframe']):tag.decompose()
-    # Aggressively remove related/ad/recommend containers before image collection.
-    bad_re=re.compile(r'(related|relate|recommend|suggest|sidebar|ads|advert|popular|more|xem-them|xemthem|tin-lien-quan|tinlienquan|doc-them|docthem|other-news|news-other|article-related|box-tin|box_related|story-related|recommend-news|same-category|cate-list|news-list|most-view|banner|qc|quang-cao|sponsor)',re.I)
-    for el in list(soup.find_all(True)):
-        cls=' '.join(el.get('class',[])); eid=el.get('id',''); role=el.get('role','')
-        if bad_re.search(cls) or bad_re.search(eid) or bad_re.search(role):
-            el.decompose()
-    selectors=['article','main article','.article-content','.article__body','.article-body','.article-detail','.detail-content','.content-detail','.singular-content','.news-content','.post-content','.entry-content','.knc-content','.fck_detail','.cms-body','.story-body','[class*=article-content]','[class*=detail-content]','[class*=singular-content]']
-    for sel in selectors:
-        el=soup.select_one(sel)
-        if el and (len(el.find_all('p'))>=2 or len(el.find_all(['figure','picture','img']))>=1):return el
-    best=None;score=0
-    for el in soup.find_all(['article','main','section','div']):
-        ps=el.find_all('p');imgs=el.find_all('img');txt=' '.join(p.get_text(' ',strip=True) for p in ps)
-        sc=len(ps)*120+len(imgs)*10+min(len(txt),4500)
-        cls=' '.join(el.get('class',[])).lower()
-        if any(k in cls for k in ['article','content','detail','post','entry','story']):sc+=800
-        if sc>score:best=el;score=sc
-    return best or soup
-
-
-def _image_is_likely_article(im, src):
-    low=(src or '').lower()
-    if not src or src.startswith('data:') or 'base64' in low:return False
-    if any(x in low for x in ['logo','icon','avatar','sprite','banner','ads','advert','tracking','pixel','social','share','author','thumb-related']):return False
-    alt=(im.get('alt') or im.get('title') or '').lower()
-    if any(x in alt for x in ['logo','avatar','quảng cáo','advertisement','banner']):return False
-    try:
-        w=int(re.sub(r'\D','',str(im.get('width') or '0')) or 0);h=int(re.sub(r'\D','',str(im.get('height') or '0')) or 0)
-        if (w and w<220) or (h and h<140):return False
-    except Exception:pass
-    return True
-
-
-def _article_only_images(url):
-    """Collect images only inside main article content. If uncertain, return fewer/no images rather than related/ad images."""
-    imgs=[]
-    try:
-        from bs4 import BeautifulSoup
-        r=requests.get(url,headers=getattr(base,'HEADERS',{}),timeout=18);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'lxml')
-        block=_article_content_block(soup)
-        candidates=[]
-        # Prefer figure/picture under article body; then direct img in body.
-        for el in block.find_all(['figure','picture'],recursive=True):
-            im=el.find('img')
-            if im:candidates.append(im)
-        for im in block.find_all('img',recursive=True):
-            if im not in candidates:candidates.append(im)
-        seen=set()
-        for im in candidates:
-            src=(im.get('data-src') or im.get('data-original') or im.get('data-lazy-src') or im.get('data-srcset') or im.get('srcset') or im.get('src') or '')
-            if ',' in src:src=src.split(',')[0].strip().split(' ')[0]
-            else:src=src.strip().split(' ')[0]
-            src=_abs_url(src,url)
-            if src in seen or not _image_is_likely_article(im,src):continue
-            # parent text guard: skip images from any remaining related block
-            parent_txt=' '.join((im.parent.get('class',[]) if im.parent else []))+' '+(im.parent.get('id','') if im.parent else '')
-            if re.search(r'(related|recommend|tin-lien-quan|doc-them|xem-them|popular|ads|banner)',parent_txt,re.I):continue
-            seen.add(src);imgs.append(src)
-            if len(imgs)>=20:break
-        # Use og:image ONLY as article main image fallback when no body image found.
-        if not imgs:
-            og=soup.find('meta',property='og:image') or soup.find('meta',attrs={'name':'twitter:image'})
-            if og:
-                src=_abs_url(og.get('content',''),url)
-                if src and 'logo' not in src.lower() and 'banner' not in src.lower():imgs.append(src)
-    except Exception:pass
-    return imgs[:20]
-
-
-def _scrape_url_article_only(url):
-    data=base.scrape_any_url(url)
-    imgs=_article_only_images(url)
-    data['images']=imgs
-    if imgs:data['image']=imgs[0]
-    else:data['image']=''
-    return data
-
-
-def _blank_image(path, title='VNEWS'):
-    if Image is None:return None
-    im=Image.new('RGB',(1080,760),(24,48,36));draw=ImageDraw.Draw(im)
-    try:f=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',48)
-    except Exception:f=None
-    draw.text((60,330),clean(title)[:40] or 'VNEWS',fill=(255,255,255),font=f)
-    im.save(path,quality=90);return path
-
-
-def _download_image_safe(url, fallback_title, out_path):
-    if url:
-        try:
-            r=requests.get(url,headers=getattr(base,'HEADERS',{}),timeout=18)
-            if r.status_code==200 and len(r.content)>1200:
-                with open(out_path,'wb') as f:f.write(r.content)
-                # verify PIL opens it
-                if Image:
-                    Image.open(out_path).verify()
-                return out_path
-        except Exception:pass
-    try:
-        return base._download_image('',fallback_title,out_path)
-    except Exception:
-        return _blank_image(out_path,fallback_title)
-
-
-def final_make_tts(text,voice,out_path):
-    text=_strip_bullet_prefix(text) or 'Bản tin VNEWS.'
-    # Only Vietnamese voices. Unknown choices fall back to Vietnamese female.
-    edge_voice=VN_VOICES.get(str(voice or '').lower().strip(), 'vi-VN-HoaiMyNeural')
-    for ev in [edge_voice, 'vi-VN-HoaiMyNeural', 'vi-VN-NamMinhNeural']:
-        try:
-            subprocess.run(['python','-m','edge_tts','--voice',ev,'--text',text,'--write-media',out_path],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=180)
-            if os.path.exists(out_path) and os.path.getsize(out_path)>1000:return out_path
-        except Exception:pass
-    try:
-        base.gTTS(text,lang='vi',tld='com.vn',slow=False).save(out_path)
-        if os.path.exists(out_path) and os.path.getsize(out_path)>1000:return out_path
-    except Exception:pass
-    # Last-resort silent audio guarantees short generation succeeds.
-    subprocess.run(['ffmpeg','-y','-f','lavfi','-i','anullsrc=channel_layout=stereo:sample_rate=44100','-t','3','-q:a','9','-acodec','libmp3lame',out_path],stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=30)
-    return out_path
-
-
-def _draw_center(draw, lines, font, y, fill, W, line_h):
-    for ln in lines:
-        try:box=draw.textbbox((0,0),ln,font=font);tw=box[2]-box[0]
-        except Exception:tw=len(ln)*24
-        draw.text((max(30,(W-tw)//2),y),ln,fill=fill,font=font);y+=line_h
-    return y
-
-
-def final_make_frame(post,seg,idx,total,img_path,out_path):
-    if Image is None:return rt.make_frame(post,seg,idx,total,img_path,out_path)
-    W,H=1080,1920;hero_h=760;bg=Image.new('RGB',(W,H),(12,12,12))
-    try:
-        im=Image.open(img_path).convert('RGB');ratio=im.width/max(1,im.height);tr=W/hero_h
-        if ratio>tr:nh=hero_h;nw=int(nh*ratio)
-        else:nw=W;nh=int(nw/ratio)
-        im=im.resize((nw,nh));left=(nw-W)//2;top=(nh-hero_h)//2;bg.paste(im.crop((left,top,left+W,top+hero_h)),(0,0))
-    except Exception:pass
-    draw=ImageDraw.Draw(bg)
-    try:
-        fb=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',58);ft=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',38);fs=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf',30);fsmall=ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf',28)
-    except Exception:fb=ft=fs=fsmall=None
-    badge='Nguồn: '+_source_badge_url_first(post)
-    try:b=draw.textbbox((0,0),badge,font=fsmall);bw=b[2]-b[0];bh=b[3]-b[1]
-    except Exception:bw=len(badge)*16;bh=34
-    bx=W-bw-42;by=24;draw.rounded_rectangle((bx-16,by-8,W-24,by+bh+14),radius=18,fill=(0,0,0));draw.text((bx,by),badge,fill=(255,255,255),font=fsmall)
-    draw.rectangle((0,hero_h-20,W,H),fill=(12,12,12))
-    total=max(1,total);total_w=total*38-14;start=(W-total_w)//2
-    for i in range(total):draw.rounded_rectangle((start+i*38,820,start+i*38+24,832),radius=6,fill=(92,184,122) if i==idx else (70,70,70))
-    brand='VNEWS AI SHORT'
-    try:bb=draw.textbbox((0,0),brand,font=ft);tx=(W-(bb[2]-bb[0]))//2
-    except Exception:tx=360
-    draw.text((tx,870),brand,fill=(110,231,143),font=ft)
-    seg=_strip_bullet_prefix(seg);lines=rt.wrap_text(draw,seg,fb,W-120,8);y=max(980,1250-(len(lines)*74)//2);_draw_center(draw,lines,fb,y,(255,255,255),W,74)
-    title_lines=rt.wrap_text(draw,_strip_bullet_prefix(post.get('title','')),fs,W-120,3);y2=1640;draw.line((80,y2-26,W-80,y2-26),fill=(70,70,70),width=2);_draw_center(draw,title_lines,fs,y2,(220,220,220),W,42)
-    bg.save(out_path,quality=92)
-
-# Monkey patches for old functions.
-rt.make_frame=final_make_frame;rt.make_tts=final_make_tts;rt._source_badge=_source_badge_url_first
-
-# Override endpoints.
-_PATCH={('/api/url_wall','POST'),('/api/rewrite_share','POST'),('/api/ai/url','POST'),('/api/ai/short/{post_id}','POST'),('/','GET'),('/aw','GET')}
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-@app.post('/api/url_wall')
-async def final_url_wall(request:Request):
-    body=await request.json();url=base._clean_text(body.get('url',''))
-    if not url.startswith('http'):return JSONResponse({'error':'missing url'},status_code=400)
-    try:data=_scrape_url_article_only(url)
-    except Exception as e:return JSONResponse({'error':'Không scrape được URL: '+str(e)[:180]},status_code=422)
-    raw=(data.get('summary','')+'\n'+data.get('text','')).strip()
-    if len(raw)<120:return JSONResponse({'error':'URL không có đủ nội dung để tóm tắt'},status_code=422)
-    prompt=f"""Tóm tắt bài viết nguồn dưới đây để đăng lên Tường AI VNEWS.
-
-Yêu cầu:
-- Chỉ tóm tắt nội dung chính, không viết lại toàn bộ bài.
-- Ngắn gọn, cụ thể, dễ hiểu.
-- Không lặp ý, không thêm chi tiết ngoài nguồn.
-- Tối đa 5 ý chính hoặc 2 đoạn ngắn.
-- Hạn chế dùng dấu đầu dòng.
-
-Tiêu đề gốc: {data.get('title','')}
-Nguồn: {_domain(url)}
-Nội dung gốc:
-{raw[:16000]}"""
-    text=await base.qwen_generate(prompt,image_url=(data.get('image') or None),max_tokens=900)
-    if not text:text=rt.old._fallback_summary_from_prompt(prompt,max_units=5) if hasattr(rt.old,'_fallback_summary_from_prompt') else raw[:900]
-    text=rt.postprocess(text) if hasattr(rt,'postprocess') else text
-    src=[{'title':data.get('title'), 'url':url, 'excerpt':raw[:500], 'via':_domain(url)}]
-    if 'Nguồn tham khảo:' not in text:text+='\n\n'+rt.source_line(src)
-    imgs=data.get('images') or []
-    post=base.make_post(data.get('title') or 'Bài viết',text,imgs[0] if imgs else '',url,'url',sources=src)
-    post['images']=imgs
-    posts=base._load_ai_wall();posts.insert(0,post);base._save_ai_wall(posts)
-    return JSONResponse({'post':post})
-
-@app.post('/api/rewrite_share')
-async def final_rewrite_share(request:Request):return await final_url_wall(request)
-@app.post('/api/ai/url')
-async def final_ai_url(request:Request):return await final_url_wall(request)
-
-@app.post('/api/ai/short/{post_id}')
-async def final_short(post_id:str,request:Request):
-    try:body=await request.json()
-    except Exception:body={}
-    voice=str(body.get('voice','nu')).lower().strip();emotion=str(body.get('emotion','neutral')).lower().strip();speed=max(0.85,min(1.35,float(body.get('speed',1.2) or 1.2)))
-    posts=base._load_ai_wall();post=next((p for p in posts if str(p.get('id'))==str(post_id)),None)
-    if not post:return JSONResponse({'error':'post not found'},status_code=404)
-    segs=rt.split_segments(post,8) if hasattr(rt,'split_segments') else [_strip_bullet_prefix(post.get('text') or post.get('title') or 'VNEWS')]
-    imgs=[u for u in (post.get('images') or []) if u] or ([post.get('img')] if post.get('img') else [])
-    os.makedirs(base.SHORTS_DIR,exist_ok=True);suffix=f'_{voice}_{emotion}_{str(speed).replace(".","p")}_articleimgs_vivoice'
-    out=os.path.join(base.SHORTS_DIR,base._safe_name(post_id+suffix)+'.mp4')
-    if os.path.exists(out):
-        post['video']='/api/ai/short-file/'+post_id+suffix;base._save_ai_wall(posts);return JSONResponse({'video':post['video'],'segments':len(segs),'subtitles':False})
-    work=os.path.join(base.SHORTS_DIR,base._safe_name(post_id+suffix));os.makedirs(work,exist_ok=True)
-    clips=[]
-    try:
-        for i,seg in enumerate(segs):
-            img_url=imgs[i % len(imgs)] if imgs else ''
-            img=os.path.join(work,f'image_{i}.jpg');frame=os.path.join(work,f'f{i}.jpg');aud=os.path.join(work,f'a{i}.mp3');aud2=os.path.join(work,f'a{i}_fast.mp3');clip=os.path.join(work,f'c{i}.mp4')
-            _download_image_safe(img_url,post.get('title','AI news'),img)
-            seg=_strip_bullet_prefix(seg);final_make_frame(post,seg,i,len(segs),img,frame)
-            prefix={'urgent':'Tin nhanh.','warm':'Câu chuyện đáng chú ý.','serious':'Bản tin nghiêm túc.','energetic':'Cập nhật nổi bật.'}.get(emotion,'')
-            spoken=(prefix+' '+seg).strip() if i==0 and prefix else seg
-            final_make_tts(spoken,voice,aud)
-            try:subprocess.run(['ffmpeg','-y','-i',aud,'-filter:a',f'atempo={speed}','-vn',aud2],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=120)
-            except Exception:aud2=aud
-            try:
-                subprocess.run(['ffmpeg','-y','-loop','1','-i',frame,'-i',aud2,'-shortest','-c:v','libx264','-tune','stillimage','-pix_fmt','yuv420p','-c:a','aac','-b:a','128k','-vf','scale=1080:1920',clip],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=180)
-            except Exception:
-                # last-resort visual-only 4s clip
-                subprocess.run(['ffmpeg','-y','-loop','1','-t','4','-i',frame,'-f','lavfi','-i','anullsrc=channel_layout=stereo:sample_rate=44100','-shortest','-c:v','libx264','-pix_fmt','yuv420p','-c:a','aac','-vf','scale=1080:1920',clip],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=120)
-            clips.append(clip)
-        lf=os.path.join(work,'list.txt')
-        with open(lf,'w',encoding='utf-8') as f:
-            for c in clips:f.write("file '"+c.replace("","'\\''"))+"'\n")
-        subprocess.run(['ffmpeg','-y','-f','concat','-safe','0','-i',lf,'-c','copy',out],check=True,stdout=subprocess.PIPE,stderr=subprocess.PIPE,timeout=240)
-        post['video']='/api/ai/short-file/'+post_id+suffix;post['short_subtitles']=False;post['short_segments']=segs;post['short_speed']=speed;base._save_ai_wall(posts)
-        return JSONResponse({'video':post['video'],'segments':len(segs),'subtitles':False})
-    except Exception as e:return JSONResponse({'error':'Không tạo được shorts: '+str(e)[:220]},status_code=500)
-
-@app.get('/aw')
-def ai_wall_share(post:str=Query(default=''), short:int=Query(default=0)):
-    posts=base._load_ai_wall();p=next((x for x in posts if str(x.get('id'))==str(post)),None)
-    if not p:return HTMLResponse(f'<script>location.href="{SPACE_URL}"</script>')
-    title=p.get('title') or 'VNEWS AI';img=p.get('img') or DEFAULT_IMG
-    desc=(p.get('text') or '')[:220]
-    return HTMLResponse(f'<!doctype html><html><head><meta charset="utf-8"><title>{title}</title><meta property="og:title" content="{title}"><meta property="og:description" content="{desc}"><meta property="og:image" content="{img}"><meta property="og:type" content="article"><meta name="twitter:card" content="summary_large_image"></head><body><script>localStorage.setItem('pending_ai_post','{post}');location.href='{SPACE_URL}'</script></body></html>')
-
-FINAL_INJECT = r'''
-<style>

ai_runtime_final2.py

@@ -1,242 +0,0 @@
-"""Final2: improve article-image detection without over-filtering real article images."""
-import re, requests
-from urllib.parse import urlparse
-import ai_runtime_final as f1
-from ai_runtime_final import app, base, rt, HTMLResponse, JSONResponse, Request, Query
-
-
-def _domain(url):
-    try:return urlparse(url or '').netloc.replace('www.','')
-    except Exception:return ''
-
-
-def _abs_url(src, base_url):
-    if not src:return ''
-    src=src.strip()
-    if src.startswith('//'):return 'https:'+src
-    if src.startswith('/'):
-        try:
-            p=urlparse(base_url);return f'{p.scheme}://{p.netloc}{src}'
-        except Exception:return src
-    return src
-
-BAD_RE=re.compile(r'(related|relate|recommend|suggest|sidebar|ads|advert|popular|xem-them|xemthem|tin-lien-quan|tinlienquan|doc-them|docthem|other-news|news-other|article-related|box-tin|box_related|story-related|recommend-news|same-category|cate-list|most-view|banner|qc|quang-cao|sponsor|social|share|comment|author|newsletter)',re.I)
-GOOD_RE=re.compile(r'(article|content|detail|body|post|entry|story|fck|cms|singular|main|news)',re.I)
-IMG_EXT_RE=re.compile(r'\.(jpg|jpeg|png|webp|avif)(\?|$)',re.I)
-ARTICLE_LINK_RE=re.compile(r'\.(html|htm|shtml|tpo|chn)(\?|$)|/\d{4}/|post\d+|article',re.I)
-
-
-def _clean_soup(soup):
-    for tag in soup.find_all(['script','style','nav','footer','aside','form','noscript','iframe']):
-        tag.decompose()
-
-
-def _find_article_block(soup):
-    """Find the article body first; do not delete suspected related blocks before finding it."""
-    selectors=[
-        'article', 'main article',
-        '.article-content','.article__content','.article__body','.article-body','.article-detail','.article__detail',
-        '.detail-content','.content-detail','.singular-content','.news-content','.post-content','.entry-content',
-        '.knc-content','.fck_detail','.cms-body','.story-body','.maincontent','.main-content',
-        '[class*=article-content]','[class*=article__content]','[class*=detail-content]','[class*=singular-content]',
-        '[class*=cms-body]','[class*=story-body]'
-    ]
-    for sel in selectors:
-        el=soup.select_one(sel)
-        if el and (len(el.find_all('p'))>=2 or len(el.find_all(['figure','picture','img']))>=1):
-            return el
-    best=None;best_score=0
-    for el in soup.find_all(['article','main','section','div']):
-        cls=' '.join(el.get('class',[]));eid=el.get('id','')
-        if BAD_RE.search(cls+' '+eid) and not GOOD_RE.search(cls+' '+eid):
-            continue
-        ps=el.find_all('p');imgs=el.find_all('img')
-        text=' '.join(p.get_text(' ',strip=True) for p in ps)
-        long_ps=sum(1 for p in ps if len(p.get_text(' ',strip=True))>40)
-        score=long_ps*180+len(ps)*40+min(len(text),5000)+len(imgs)*25
-        if GOOD_RE.search(cls+' '+eid):score+=800
-        if score>best_score:
-            best=el;best_score=score
-    return best or soup
-
-
-def _ancestor_bad(im, block):
-    node=im
-    while node and node is not block:
-        if getattr(node,'name',None) in ['aside','nav','footer']:
-            return True
-        cls=' '.join(node.get('class',[])) if hasattr(node,'get') else ''
-        eid=node.get('id','') if hasattr(node,'get') else ''
-        if BAD_RE.search(cls+' '+eid):
-            return True
-        node=getattr(node,'parent',None)
-    return False
-
-
-def _image_anchor_penalty(im, page_url):
-    a=im.find_parent('a')
-    if not a:return 0
-    href=_abs_url(a.get('href',''),page_url)
-    if not href:return 0
-    # If anchor opens the image itself, do not penalize.
-    if IMG_EXT_RE.search(href):return 0
-    # If anchor points to another article, it is probably related content.
-    try:
-        p1=urlparse(page_url);p2=urlparse(href)
-        if href!=page_url and ARTICLE_LINK_RE.search(href) and (p2.path!=p1.path):
-            return -100
-    except Exception:pass
-    return -10
-
-
-def _near_article_text_score(im):
-    score=0
-    # caption/figcaption is strong sign of article image
-    fig=im.find_parent('figure')
-    if fig:
-        score+=5
-        cap=fig.find('figcaption')
-        if cap and len(cap.get_text(' ',strip=True))>10:score+=4
-    if im.find_parent('picture'):score+=2
-    # paragraph around image
-    parent=im.parent
-    for node in [parent, getattr(parent,'parent',None) if parent else None, fig]:
-        if not node:continue
-        ps=node.find_all('p') if hasattr(node,'find_all') else []
-        if any(len(p.get_text(' ',strip=True))>40 for p in ps):score+=3;break
-    # sibling paragraph near figure/image
-    holder=fig or parent
-    if holder:
-        for sib in [holder.find_previous_sibling(), holder.find_next_sibling()]:
-            if sib and len(sib.get_text(' ',strip=True))>40:
-                score+=2
-                break
-    return score
-
-
-def _image_score(im, src, block, page_url):
-    low=(src or '').lower()
-    if not src or src.startswith('data:') or 'base64' in low:return -999
-    if any(x in low for x in ['logo','icon','avatar','sprite','tracking','pixel','social','share','author']):return -999
-    if _ancestor_bad(im,block):return -999
-    score=0
-    # Explicit dimensions: only reject truly tiny images; if missing dimensions, allow.
-    try:
-        w=int(re.sub(r'\D','',str(im.get('width') or '0')) or 0);h=int(re.sub(r'\D','',str(im.get('height') or '0')) or 0)
-        if (w and w<120) or (h and h<90):return -999
-        if w>=500 or h>=300:score+=3
-    except Exception:pass
-    alt=(im.get('alt') or im.get('title') or '').lower()
-    if any(x in alt for x in ['logo','avatar','quảng cáo','advertisement','banner']):return -999
-    cls=' '.join(im.get('class',[]));eid=im.get('id','')
-    if BAD_RE.search(cls+' '+eid):return -999
-    if GOOD_RE.search(cls+' '+eid):score+=2
-    score+=_near_article_text_score(im)
-    score+=_image_anchor_penalty(im,page_url)
-    if any(x in low for x in ['cdn','photo','image','media','upload','thumb','avatar']):score+=1
-    # Tienphong and many VN papers use lazy/data src without figure; still accept if inside article block.
-    if im.find_parent(['article','main']) or GOOD_RE.search(' '.join(block.get('class',[]))+' '+block.get('id','')):score+=3
-    return score
-
-
-def _extract_img_src(im, page_url):
-    src=(im.get('data-src') or im.get('data-original') or im.get('data-lazy-src') or im.get('data-srcset') or im.get('srcset') or im.get('src') or '')
-    if ',' in src:src=src.split(',')[0].strip().split(' ')[0]
-    else:src=src.strip().split(' ')[0]
-    return _abs_url(src,page_url)
-
-
-def _article_only_images(url):
-    imgs=[]
-    try:
-        from bs4 import BeautifulSoup
-        r=requests.get(url,headers=getattr(base,'HEADERS',{}),timeout=18);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'lxml')
-        _clean_soup(soup)
-        block=_find_article_block(soup)
-        candidates=[]
-        for el in block.find_all(['figure','picture'],recursive=True):
-            im=el.find('img')
-            if im and im not in candidates:candidates.append(im)
-        for im in block.find_all('img',recursive=True):
-            if im not in candidates:candidates.append(im)
-        scored=[];seen=set()
-        for im in candidates:
-            src=_extract_img_src(im,url)
-            if not src or src in seen:continue
-            seen.add(src)
-            sc=_image_score(im,src,block,url)
-            if sc>=2:
-                scored.append((sc,src))
-        # Keep original article order but only for scored images, filtering duplicate URLs.
-        good=set(src for sc,src in sorted(scored,reverse=True) if sc>=2)
-        for im in candidates:
-            src=_extract_img_src(im,url)
-            if src in good and src not in imgs:imgs.append(src)
-            if len(imgs)>=20:break
-        # Fallback: og:image is usually article main image, and better than no image.
-        if not imgs:
-            og=soup.find('meta',property='og:image') or soup.find('meta',attrs={'name':'twitter:image'})
-            if og:
-                src=_abs_url(og.get('content',''),url)
-                if src and not any(x in src.lower() for x in ['logo','icon','avatar','sprite']):imgs.append(src)
-    except Exception:pass
-    return imgs[:20]
-
-
-def _scrape_url_article_only(url):
-    data=base.scrape_any_url(url)
-    imgs=_article_only_images(url)
-    data['images']=imgs
-    data['image']=imgs[0] if imgs else ''
-    return data
-
-# Override the functions used by inherited endpoints.
-f1._article_only_images=_article_only_images
-f1._scrape_url_article_only=_scrape_url_article_only
-
-# Replace URL endpoints to use improved extraction.
-_PATCH={('/api/url_wall','POST'),('/api/rewrite_share','POST'),('/api/ai/url','POST'),('/','GET')}
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-@app.post('/api/url_wall')
-async def final2_url_wall(request:Request):
-    body=await request.json();url=base._clean_text(body.get('url',''))
-    if not url.startswith('http'):return JSONResponse({'error':'missing url'},status_code=400)
-    try:data=_scrape_url_article_only(url)
-    except Exception as e:return JSONResponse({'error':'Không scrape được URL: '+str(e)[:180]},status_code=422)
-    raw=(data.get('summary','')+'\n'+data.get('text','')).strip()
-    if len(raw)<120:return JSONResponse({'error':'URL không có đủ nội dung để tóm tắt'},status_code=422)
-    prompt=f"""Tóm tắt bài viết nguồn dưới đây để đăng lên Tường AI VNEWS.
-
-Yêu cầu:
-- Chỉ tóm tắt nội dung chính, không viết lại toàn bộ bài.
-- Ngắn gọn, cụ thể, dễ hiểu.
-- Không lặp ý, không thêm chi tiết ngoài nguồn.
-- Tối đa 5 ý chính hoặc 2 đoạn ngắn.
-- Hạn chế dùng dấu đầu dòng.
-
-Tiêu đề gốc: {data.get('title','')}
-Nguồn: {_domain(url)}
-Nội dung gốc:
-{raw[:16000]}"""
-    text=await base.qwen_generate(prompt,image_url=(data.get('image') or None),max_tokens=900)
-    if not text:text=rt.old._fallback_summary_from_prompt(prompt,max_units=5) if hasattr(rt.old,'_fallback_summary_from_prompt') else raw[:900]
-    text=rt.postprocess(text) if hasattr(rt,'postprocess') else text
-    src=[{'title':data.get('title'), 'url':url, 'excerpt':raw[:500], 'via':_domain(url)}]
-    if 'Nguồn tham khảo:' not in text:text+='\n\n'+rt.source_line(src)
-    imgs=data.get('images') or []
-    post=base.make_post(data.get('title') or 'Bài viết',text,imgs[0] if imgs else '',url,'url',sources=src)
-    post['images']=imgs
-    posts=base._load_ai_wall();posts.insert(0,post);base._save_ai_wall(posts)
-    return JSONResponse({'post':post})
-
-@app.post('/api/rewrite_share')
-async def final2_rewrite_share(request:Request):return await final2_url_wall(request)
-@app.post('/api/ai/url')
-async def final2_ai_url(request:Request):return await final2_url_wall(request)
-
-@app.get('/')
-async def index_final2():
-    html=f1._load_index_html();body=getattr(rt.old,'PATCH_INJECT','') + f1.FINAL_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)

ai_runtime_final3.py

@@ -1,191 +0,0 @@
-"""Final3 runtime: Qwen topic posts, robust YouTube shorts, TikTok-style actions for Shorts and Short AI."""
-import os, re, time, json, hashlib, requests
-from urllib.parse import quote, urlparse
-import ai_runtime_final2 as f2
-from ai_runtime_final2 import app, base, rt, HTMLResponse, JSONResponse, Request, Query
-
-SPACE_URL="https://bep40-vnews.hf.space"
-SHORT_CHANNELS=["baodantri7941","baosuckhoedoisongboyte"]
-_SHORTS_CACHE={"t":0,"d":[]}
-AI_INTERACTIONS_FILE="/data/ai_interactions.json" if os.path.isdir('/data') else "/app/data/ai_interactions.json"
-
-
-def clean(s):
-    import html as html_lib
-    return re.sub(r"\s+"," ",html_lib.unescape(s or "")).strip()
-
-
-def _domain(u):
-    try:return urlparse(u or '').netloc.replace('www.','')
-    except Exception:return ''
-
-
-def _load_json(path,default):
-    try:
-        if os.path.exists(path):
-            with open(path,'r',encoding='utf-8') as f:return json.load(f)
-    except Exception:pass
-    return default
-
-
-def _save_json(path,data):
-    try:
-        os.makedirs(os.path.dirname(path),exist_ok=True);tmp=path+'.tmp'
-        with open(tmp,'w',encoding='utf-8') as f:json.dump(data,f,ensure_ascii=False)
-        os.replace(tmp,path)
-    except Exception:pass
-
-
-def _youtube_shorts_ytdlp(handle,count=20):
-    try:
-        import yt_dlp
-        url=f"https://www.youtube.com/@{handle}/shorts"
-        opts={'quiet':True,'extract_flat':True,'skip_download':True,'playlistend':count,'ignoreerrors':True,'no_warnings':True}
-        with yt_dlp.YoutubeDL(opts) as ydl:
-            info=ydl.extract_info(url,download=False)
-        out=[]
-        for e in (info or {}).get('entries') or []:
-            vid=e.get('id') or ''
-            if not re.match(r'^[A-Za-z0-9_-]{11}$',vid):continue
-            title=e.get('title') or 'YouTube Short'
-            out.append({'title':title,'link':f'https://www.youtube.com/watch?v={vid}','img':f'https://i.ytimg.com/vi/{vid}/hqdefault.jpg','source':'yt','id':vid,'channel':handle})
-        return out
-    except Exception:return []
-
-
-def _youtube_shorts_html(handle,count=20):
-    try:
-        html=requests.get(f"https://www.youtube.com/@{handle}/shorts",headers=getattr(base,'HEADERS',{}),timeout=15).text
-        ids=[];out=[]
-        for m in re.finditer(r'"videoId":"([A-Za-z0-9_-]{11})"',html):
-            vid=m.group(1)
-            if vid in ids:continue
-            ids.append(vid)
-            snip=html[max(0,m.start()-1000):m.start()+1800]
-            title='YouTube Short'
-            mt=re.search(r'"title":\{"runs":\[\{"text":"([^"]+)"',snip) or re.search(r'"accessibilityText":"([^"]+)"',snip)
-            if mt:title=clean(mt.group(1).replace('\\n',' '))
-            out.append({'title':title,'link':f'https://www.youtube.com/watch?v={vid}','img':f'https://i.ytimg.com/vi/{vid}/hqdefault.jpg','source':'yt','id':vid,'channel':handle})
-            if len(out)>=count:break
-        return out
-    except Exception:return []
-
-
-def _fresh_shorts():
-    items=[];seen=set()
-    for ch in SHORT_CHANNELS:
-        got=_youtube_shorts_ytdlp(ch,24) or _youtube_shorts_html(ch,24)
-        for v in got:
-            if v['id'] not in seen:
-                seen.add(v['id']);items.append(v)
-    # fallback from main if live scrape fails
-    try:
-        for v in getattr(rt.old.base if hasattr(rt.old,'base') else rt,'SHORTS_FALLBACK',[]) or []:
-            vid=v.get('id')
-            if vid and vid not in seen:
-                seen.add(vid);items.append(v)
-    except Exception:pass
-    return items[:50]
-
-
-def _topic_image(topic):
-    try:return base.pollinations_image_url(topic)
-    except Exception:return "https://image.pollinations.ai/prompt/"+quote("Vietnamese news editorial illustration "+topic)+"?width=1024&height=576&nologo=true"
-
-# Remove old endpoints/root to override.
-_PATCH={('/api/shorts','GET'),('/api/topic_post','POST'),('/api/ai/interact','POST'),('/','GET')}
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-@app.get('/api/shorts')
-def api_shorts_final3(refresh:int=Query(default=0)):
-    now=time.time()
-    if not refresh and _SHORTS_CACHE['d'] and now-_SHORTS_CACHE['t']<900:
-        return JSONResponse(_SHORTS_CACHE['d'])
-    data=_fresh_shorts()
-    _SHORTS_CACHE.update({'t':now,'d':data})
-    return JSONResponse(data)
-
-@app.post('/api/topic_post')
-async def topic_post_qwen(request:Request):
-    body=await request.json();topic=clean(body.get('topic',''))
-    if not topic:return JSONResponse({'error':'missing topic'},status_code=400)
-    img=_topic_image(topic)
-    prompt=f"""Bạn là biên tập viên VNEWS. Dựa trên kiến thức tổng quát của bạn, hãy tạo một bài đăng Tường AI bằng tiếng Việt về chủ đề: {topic}
-
-Yêu cầu:
-- Viết như một bài tin/tạp chí ngắn, có tiêu đề hấp dẫn.
-- 1 đoạn mở đầu 2 câu.
-- 4-6 ý chính rõ ràng, không lan man.
-- Nếu chủ đề là thể thao/c��ng nghệ/xã hội, hãy viết có bối cảnh và nhận định.
-- Không khẳng định số liệu thời sự mới nếu không chắc; dùng cách diễn đạt thận trọng.
-- Cuối bài thêm dòng: Nguồn tham khảo: Qwen2.5-VL / kiến thức tổng hợp.
-"""
-    text=await base.qwen_generate(prompt,image_url=img,max_tokens=1100)
-    if not text:
-        text=f"{topic}\n\nĐây là bài gợi ý do AI tạo dựa trên kiến thức tổng hợp. Nội dung cung cấp bối cảnh, các điểm đáng chú ý và góc nhìn tham khảo về chủ đề này.\n\nNguồn tham khảo: Qwen2.5-VL / kiến thức tổng hợp."
-    post=base.make_post(topic,text,img,'','topic_qwen',sources=[{'title':'Qwen2.5-VL / kiến thức tổng hợp','url':'','via':'Qwen2.5-VL'}])
-    post['images']=[img]
-    posts=base._load_ai_wall();posts.insert(0,post);base._save_ai_wall(posts)
-    return JSONResponse({'post':post})
-
-@app.post('/api/ai/interact')
-async def ai_interact(request:Request):
-    body=await request.json();pid=str(body.get('id','')).strip();kind=str(body.get('kind','wall')).strip();action=str(body.get('action','')).strip();text=clean(body.get('text',''))
-    if not pid:return JSONResponse({'error':'missing id'},status_code=400)
-    db=_load_json(AI_INTERACTIONS_FILE,{})
-    key=kind+':'+pid
-    st=db.get(key) or {'views':0,'likes':0,'comments':[],'asks':[]}
-    if action=='view':st['views']=int(st.get('views',0))+1
-    elif action=='like':st['likes']=int(st.get('likes',0))+1
-    elif action=='comment' and text:
-        st.setdefault('comments',[]).insert(0,{'text':text[:240],'ts':int(time.time())});st['comments']=st['comments'][:80]
-    elif action=='ask' and text:
-        posts=base._load_ai_wall();p=next((x for x in posts if str(x.get('id'))==pid),{})
-        prompt=f"""Trả lời ngắn bằng tiếng Việt cho câu hỏi của người xem về nội dung này.
-Tiêu đề: {p.get('title','')}
-Nội dung: {(p.get('text') or '')[:4000]}
-Câu hỏi: {text}
-"""
-        ans=await base.qwen_generate(prompt,max_tokens=500)
-        if not ans:ans='AI chưa trả lời được lúc này. Bạn thử hỏi lại ngắn gọn hơn.'
-        st.setdefault('asks',[]).insert(0,{'q':text[:240],'a':ans[:1000],'ts':int(time.time())});st['asks']=st['asks'][:50]
-    db[key]=st;_save_json(AI_INTERACTIONS_FILE,db)
-    return JSONResponse({'stats':st})
-
-FINAL3_INJECT = r'''
-<style>
-.ai-compose-row.topic-final3{display:flex!important;flex-direction:column!important;gap:8px!important;width:100%!important}.ai-compose-row.topic-final3 input,.ai-compose-row.topic-final3 button{width:100%!important;box-sizing:border-box!important}.short-action-panel{position:absolute;right:8px;bottom:92px;display:flex;flex-direction:column;gap:12px;z-index:20}.short-action-btn{background:none;border:0;color:#fff;text-align:center;font-size:10px}.short-action-btn .ico{width:44px;height:44px;border-radius:50%;background:rgba(0,0,0,.45);display:flex;align-items:center;justify-content:center;font-size:21px;margin:auto}.short-modal{position:fixed;inset:auto 0 0 0;max-height:60vh;background:#181818;border-radius:16px 16px 0 0;z-index:99999;padding:14px;display:none;overflow:auto}.short-modal.active{display:block}.short-modal textarea,.short-modal input{width:100%;background:#222;border:1px solid #444;color:#eee;border-radius:10px;padding:9px;margin:6px 0}.short-modal button{background:#2d8659;border:0;color:#fff;border-radius:10px;padding:8px 12px;margin:4px}.ai-short-home{margin:6px 4px;background:#1a1a1a;border:1px solid #2a2a2a;border-radius:8px;overflow:hidden}.ai-short-card-final{flex:0 0 120px}.ai-short-card-final video{width:100%;aspect-ratio:9/16;object-fit:cover;background:#000;border-radius:8px}
-</style>
-<div id="short-modal" class="short-modal"></div>
-<script>
-(function(){
-let finalWall3=[];let currentShortCtx=null;
-function esc(s){return String(s||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]));}
-function ensureTopicBox(){let comp=document.querySelector('.ai-compose');if(!comp)return;if(!document.getElementById('ai-topic-input-final3')){let row=document.createElement('div');row.className='ai-compose-row topic-final3';row.innerHTML='<input id="ai-topic-input-final3" placeholder="Nhập chủ đề để Qwen2.5VL gợi ý bài đăng lên Tường AI..."><button onclick="createTopicPostFinal3()">✨ Tạo bài theo chủ đề bằng Qwen</button>';comp.insertBefore(row,comp.firstChild.nextSibling);} }
-window.createTopicPostFinal3=async function(){let inp=document.getElementById('ai-topic-input-final3');let topic=(inp&&inp.value||'').trim();if(!topic)return alert('Nhập chủ đề trước');let btn=event?.target;if(btn){btn.disabled=true;btn.textContent='Đang tạo...'}try{let r=await fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})});let j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');finalWall3.unshift(j.post);if(window.finalWall)window.finalWall.unshift(j.post);if(inp)inp.value='';renderAIShortHome();if(window.renderWall)window.renderWall();alert('Đã tạo bài chủ đề và đăng lên Tường AI, không reload.');}catch(e){alert(e.message)}finally{if(btn){btn.disabled=false;btn.textContent='✨ Tạo bài theo chủ đề bằng Qwen'}}};
-async function refreshFinalWall3(){try{finalWall3=(await (await fetch('/api/ai_wall')).json()).posts||[];renderAIShortHome();}catch(e){}}
-function renderAIShortHome(){let home=document.getElementById('view-home');if(!home)return;document.getElementById('ai-short-home')?.remove();let vids=finalWall3.filter(p=>p.video);if(!vids.length)return;let wrap=document.createElement('div');wrap.id='ai-short-home';wrap.className='ai-short-home';let h='<div class="slider-header"><span class="slider-label">🎬 Short AI</span><span class="slider-note">Video đã tạo</span></div><div class="slider-track">';vids.slice(0,30).forEach((p,i)=>{h+=`<div class="ai-short-card-final" onclick="openAIShortFeed(${i})"><video src="${p.video}" muted playsinline preload="metadata"></video><div class="slider-title">${esc(p.title)}</div></div>`});h+='</div>';wrap.innerHTML=h;let after=document.getElementById('ai-wall-final')||document.querySelector('.ai-compose');if(after)after.after(wrap);else home.prepend(wrap);}
-window.openAIShortFeed=function(start){let vids=finalWall3.filter(p=>p.video);if(!vids.length)return;showView('view-tiktok');let h='<button class="back-btn" onclick="switchCat(\'home\')">← Short AI</button><div class="tiktok-container"><div class="tiktok-feed" id="tiktok-feed">';let ordered=start>0?vids.slice(start).concat(vids.slice(0,start)):vids;ordered.forEach((p,i)=>{h+=`<div class="tiktok-slide" data-kind="ai" data-id="${p.id}"><video src="${p.video}" playsinline controls loop></video><div class="tiktok-bottom"><span class="badge badge-ai">AI</span><p class="tiktok-title">${esc(p.title)}</p></div>${actionPanel('ai',p.id,i)}<span class="tiktok-counter">${i+1}/${ordered.length}</span></div>`});h+='</div></div>';document.getElementById('view-tiktok').innerHTML=h;initActionFeed();}
-function actionPanel(kind,id,i){return `<div class="short-action-panel"><button class="short-action-btn" onclick="shortAct('${kind}','${id}','view')"><div class="ico">👁</div><span id="v-${kind}-${id}">0</span></button><button class="short-action-btn" onclick="shortAct('${kind}','${id}','like')"><div class="ico">❤️</div><span id="l-${kind}-${id}">0</span></button><button class="short-action-btn" onclick="openCommentBox('${kind}','${id}')"><div class="ico">💬</div><span>BL</span></button><button class="short-action-btn" onclick="openAskBox('${kind}','${id}')"><div class="ico">🤖</div><span>Hỏi</span></button><button class="short-action-btn" onclick="shareShortCtx('${kind}','${id}')"><div class="ico">📤</div><span>Share</span></button></div>`}
-window.shortAct=async function(kind,id,action,text=''){let url=kind==='yt'?'/api/short-action':'/api/ai/interact';let body=kind==='yt'?{id,action,text}:{id,kind:'short',action,text};let r=await fetch(url,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify(body)});let j=await r.json();let st=j.stats||j;let v=document.getElementById(`v-${kind}-${id}`),l=document.getElementById(`l-${kind}-${id}`);if(v&&st.views!=null)v.textContent=st.views;if(l&&st.likes!=null)l.textContent=st.likes;return st;}
-window.openCommentBox=function(kind,id){let m=document.getElementById('short-modal');m.innerHTML=`<h3>💬 Bình luận</h3><textarea id="short-comment-text" placeholder="Nhập bình luận..."></textarea><button onclick="submitShortComment('${kind}','${id}')">Gửi</button><button onclick="closeShortModal()">Đóng</button>`;m.classList.add('active')}
-window.submitShortComment=async function(kind,id){let t=document.getElementById('short-comment-text').value.trim();if(!t)return;await shortAct(kind,id,'comment',t);alert('Đã gửi bình luận');closeShortModal()}
-window.openAskBox=function(kind,id){let m=document.getElementById('short-modal');m.innerHTML=`<h3>🤖 Hỏi AI</h3><input id="short-ask-text" placeholder="Bạn muốn hỏi gì về nội dung này?"><div id="short-answer"></div><button onclick="submitShortAsk('${kind}','${id}')">Hỏi</button><button onclick="closeShortModal()">Đóng</button>`;m.classList.add('active')}
-window.submitShortAsk=async function(kind,id){let t=document.getElementById('short-ask-text').value.trim();if(!t)return;if(kind==='yt'){document.getElementById('short-answer').innerHTML='AI chỉ hỗ trợ trả lời sâu cho Short AI/Tường AI.';return}let st=await shortAct(kind,id,'ask',t);let a=(st.asks&&st.asks[0]&&st.asks[0].a)||'Chưa có trả lời';document.getElementById('short-answer').innerHTML='<p style="white-space:pre-wrap;color:#ccc">'+esc(a)+'</p>'}
-window.closeShortModal=function(){document.getElementById('short-modal').classList.remove('active')}
-window.shareShortCtx=function(kind,id){if(kind==='ai'){let p=finalWall3.find(x=>x.id===id);if(p){let url=location.origin+'/aw?post='+encodeURIComponent(id)+'&short=1';if(navigator.share)navigator.share({title:'🎬 Short AI: '+p.title,url}).catch(()=>{});else navigator.clipboard.writeText(url).then(()=>alert('Đã sao chép link!'));}}else{let url='https://www.youtube.com/watch?v='+id;if(navigator.share)navigator.share({title:'Shorts VNEWS',url}).catch(()=>{});else navigator.clipboard.writeText(url).then(()=>alert('Đã sao chép link!'));}}
-function initActionFeed(){let feed=document.getElementById('tiktok-feed');if(!feed)return;let slides=feed.querySelectorAll('.tiktok-slide');let cur=-1;function act(i){if(i===cur)return;slides.forEach((sl,idx)=>{let v=sl.querySelector('video');let fr=sl.querySelector('iframe');if(idx===i){if(v)v.play().catch(()=>{});if(fr&&!fr.src&&fr.dataset.ytSrc)fr.src=fr.dataset.ytSrc;let kind=sl.dataset.kind,id=sl.dataset.id;if(kind&&id)shortAct(kind,id,'view').catch(()=>{})}else{if(v)v.pause();if(fr&&fr.src)fr.src=''}});cur=i}let t;feed.addEventListener('scroll',()=>{clearTimeout(t);t=setTimeout(()=>{let rect=feed.getBoundingClientRect(),ctr=rect.top+rect.height/2,b=-1,d=1e9;slides.forEach((sl,i)=>{let dd=Math.abs(sl.getBoundingClientRect().top+sl.getBoundingClientRect().height/2-ctr);if(dd<d){d=dd;b=i}});if(b>=0)act(b)},150)});setTimeout(()=>act(0),300)}
-// Override openTikTok for regular YouTube shorts with same action layout.
-window.openTikTok=async function(type,startIdx){showView('view-tiktok');let arts= type==='shorts'? await fetch('/api/shorts?refresh=1').then(r=>r.json()).catch(()=>[]) : await fetch(type==='highlights'?'/api/highlights':'/api/bdp_videos').then(r=>r.json()).catch(()=>[]);if(type!=='shorts'&&window.buildTikTokPlayer)return window.buildTikTokPlayer(arts,startIdx,type);let ordered=startIdx>0?arts.slice(startIdx).concat(arts.slice(0,startIdx)):arts;let h='<button class="back-btn" onclick="switchCat(\'home\')">← Shorts</button><div class="tiktok-container"><div class="tiktok-feed" id="tiktok-feed">';ordered.forEach((v,i)=>{let id=v.id||((v.link||'').match(/v=([A-Za-z0-9_-]{11})/)||[])[1]||String(i);let src='https://www.youtube.com/embed/'+id+'?autoplay=1&rel=0&playsinline=1';h+=`<div class="tiktok-slide" data-kind="yt" data-id="${id}"><iframe data-yt-src="${src}" allowfullscreen allow="accelerometer;autoplay;clipboard-write;encrypted-media;gyroscope;picture-in-picture"></iframe><div class="tiktok-bottom"><span class="badge badge-fpt">YT</span><p class="tiktok-title">${esc(v.title)}</p></div>${actionPanel('yt',id,i)}<span class="tiktok-counter">${i+1}/${ordered.length}</span></div>`});h+='</div></div>';document.getElementById('view-tiktok').innerHTML=h;initActionFeed();}
-// Patch make short: update home Short AI slide without reload.
-let oldMake=window.makeFinalShort||window.aiMakeShortPatched;
-window.makeFinalShort=window.aiMakeShortPatched=async function(i){let arr=finalWall3.length?finalWall3:(window.finalWall||[]);let p=arr[i];if(!p&&oldMake)return oldMake(i);if(!p)return;let voice=document.getElementById('ai-short-voice')?.value||'nu';let emotion=document.getElementById('ai-short-emotion')?.value||'neutral';let btn=event?.target;if(btn){btn.disabled=true;btn.textContent='Đang tạo...'}try{let r=await fetch('/api/ai/short/'+p.id,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({voice,emotion,speed:1.2})});let j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi tạo short');p.video=j.video;let idx=finalWall3.findIndex(x=>x.id===p.id);if(idx<0)finalWall3.unshift(p);renderAIShortHome();if(window.renderWall)window.renderWall();alert('Đã tạo short và thêm vào slide Short AI, không reload.');}catch(e){alert(e.message)}finally{if(btn){btn.disabled=false;btn.textContent='🎬 Tạo short'}}}
-setTimeout(()=>{ensureTopicBox();refreshFinalWall3();},700);setInterval(ensureTopicBox,1500);
-})();
-</script>
-'''
-
-@app.get('/')
-async def index_final3():
-    html=f2.f1._load_index_html();body=getattr(rt.old,'PATCH_INJECT','') + f2.f1.FINAL_INJECT + FINAL3_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)

ai_runtime_final4.py

@@ -1,185 +0,0 @@
-"""Final4 runtime: fix topic button visibility, shorts home feed, AI asking for videos/articles."""
-import re, time, json, os, requests
-from urllib.parse import urlparse
-import ai_runtime_final3 as f3
-from ai_runtime_final3 import app, base, rt, HTMLResponse, JSONResponse, Request, Query
-try:
-    import main as main_mod
-except Exception:
-    main_mod=None
-
-AI_INTERACTIONS_FILE=f3.AI_INTERACTIONS_FILE
-_SHORTS_CACHE={"t":0,"d":[]}
-SHORT_CHANNELS=f3.SHORT_CHANNELS
-
-
-def clean(s):
-    import html as html_lib
-    return re.sub(r"\s+"," ",html_lib.unescape(s or "")).strip()
-
-
-def _domain(u):
-    try:return urlparse(u or '').netloc.replace('www.','')
-    except Exception:return ''
-
-
-def _load_json(path,default):
-    try:
-        if os.path.exists(path):
-            with open(path,'r',encoding='utf-8') as f:return json.load(f)
-    except Exception:pass
-    return default
-
-
-def _save_json(path,data):
-    try:
-        os.makedirs(os.path.dirname(path),exist_ok=True);tmp=path+'.tmp'
-        with open(tmp,'w',encoding='utf-8') as f:json.dump(data,f,ensure_ascii=False)
-        os.replace(tmp,path)
-    except Exception:pass
-
-
-def _fallback_shorts():
-    out=[];seen=set()
-    candidates=[]
-    try:candidates+=(getattr(main_mod,'SHORTS_FALLBACK',[]) or [])
-    except Exception:pass
-    try:candidates+=(getattr(rt,'SHORTS_FALLBACK',[]) or [])
-    except Exception:pass
-    # hard fallback if imports fail
-    hard=[('Lu_iCQ5YwNM','Công an lập hồ sơ xử lý người phụ nữ chửi bới, tát tài xế ô tô | Dân trí','baodantri7941'),('CwWvijF8BOA','Chú rể bật khóc nhận món quà bí mật người cha quá cố gửi 26 năm trước | Dân trí','baodantri7941'),('7Pd6vZ2Lz1M','Hành động ấm lòng trong tìm kiếm học sinh tử vong ở sông Lô | SKĐS','baosuckhoedoisongboyte'),('SlHLt_ZyPiE','Xử phạt người đàn ông xóa số điện thoại cứu hộ trên cao tốc Bắc - Nam | SKĐS','baosuckhoedoisongboyte')]
-    for vid,title,ch in hard:
-        candidates.append({'id':vid,'title':title,'channel':ch,'link':'https://www.youtube.com/watch?v='+vid,'img':'https://i.ytimg.com/vi/'+vid+'/hqdefault.jpg','source':'yt'})
-    for v in candidates:
-        vid=v.get('id') or ''
-        if vid and vid not in seen:
-            seen.add(vid)
-            if not v.get('link'):v['link']='https://www.youtube.com/watch?v='+vid
-            if not v.get('img'):v['img']='https://i.ytimg.com/vi/'+vid+'/hqdefault.jpg'
-            v['source']='yt';out.append(v)
-    return out
-
-
-def _fresh_shorts():
-    items=[];seen=set()
-    for ch in SHORT_CHANNELS:
-        got=f3._youtube_shorts_ytdlp(ch,24) or f3._youtube_shorts_html(ch,24)
-        for v in got:
-            vid=v.get('id')
-            if vid and vid not in seen:
-                seen.add(vid);items.append(v)
-    for v in _fallback_shorts():
-        vid=v.get('id')
-        if vid and vid not in seen:
-            seen.add(vid);items.append(v)
-    return items[:60]
-
-# Remove endpoints/root to override.
-_PATCH={('/api/shorts','GET'),('/api/ai/interact','POST'),('/api/article/ask','POST'),('/','GET')}
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-@app.get('/api/shorts')
-def api_shorts_final4(refresh:int=Query(default=0)):
-    now=time.time()
-    if not refresh and _SHORTS_CACHE['d'] and now-_SHORTS_CACHE['t']<900:return JSONResponse(_SHORTS_CACHE['d'])
-    data=_fresh_shorts()
-    _SHORTS_CACHE.update({'t':now,'d':data})
-    return JSONResponse(data)
-
-@app.post('/api/ai/interact')
-async def ai_interact_final4(request:Request):
-    body=await request.json();pid=str(body.get('id','')).strip();kind=str(body.get('kind','wall')).strip();action=str(body.get('action','')).strip();text=clean(body.get('text',''));context=clean(body.get('context',''));title=clean(body.get('title',''))
-    if not pid:return JSONResponse({'error':'missing id'},status_code=400)
-    db=_load_json(AI_INTERACTIONS_FILE,{})
-    key=kind+':'+pid
-    st=db.get(key) or {'views':0,'likes':0,'comments':[],'asks':[]}
-    if action=='view':st['views']=int(st.get('views',0))+1
-    elif action=='like':st['likes']=int(st.get('likes',0))+1
-    elif action=='comment' and text:
-        st.setdefault('comments',[]).insert(0,{'text':text[:240],'ts':int(time.time())});st['comments']=st['comments'][:80]
-    elif action=='ask' and text:
-        if kind in ('ai','short','wall'):
-            posts=base._load_ai_wall();p=next((x for x in posts if str(x.get('id'))==pid),{})
-            title=title or p.get('title','');context=context or (p.get('text') or '')
-        # For YouTube shorts, frontend sends title/context because AI cannot watch video.
-        if not context:context=title or pid
-        prompt=f"""Bạn là trợ lý VNEWS. Trả lời chi tiết bằng tiếng Việt dựa trên thông tin có sẵn về video/bài viết.
-
-Tiêu đề/ngữ cảnh: {title}
-Nội dung mô tả: {context[:5000]}
-
-Câu hỏi người dùng: {text}
-
-Yêu cầu:
-- Nếu là video YouTube/Shorts và chỉ có tiêu đề, hãy nói rõ rằng bạn suy luận từ tiêu đề/mô tả, không khẳng định đã xem video.
-- Trả lời cụ thể, có giải thích, không quá ngắn.
-"""
-        ans=await base.qwen_generate(prompt,max_tokens=900)
-        if not ans:ans='AI chưa trả lời được lúc này. Bạn thử hỏi lại cụ thể hơn.'
-        st.setdefault('asks',[]).insert(0,{'q':text[:240],'a':ans[:1500],'ts':int(time.time())});st['asks']=st['asks'][:50]
-    db[key]=st;_save_json(AI_INTERACTIONS_FILE,db)
-    return JSONResponse({'stats':st})
-
-@app.post('/api/article/ask')
-async def article_ask(request:Request):
-    body=await request.json();url=clean(body.get('url',''));question=clean(body.get('question',''))
-    if not question:return JSONResponse({'error':'missing question'},status_code=400)
-    title='';raw=''
-    try:
-        data=None
-        if url and hasattr(f3.f2.f1,'_scrape_url_article_only'):
-            data=f3.f2.f1._scrape_url_article_only(url)
-        if not data and url:data=base.scrape_any_url(url)
-        if data:
-            title=data.get('title','');raw=(data.get('summary','')+'\n'+data.get('text','')).strip()
-    except Exception:pass
-    context=raw[:12000] if raw else clean(body.get('context',''))[:12000]
-    prompt=f"""Bạn là trợ lý đọc hiểu bài viết của VNEWS. Hãy trả lời chi tiết câu hỏi của người dùng dựa trên bài viết.
-
-Tiêu đề bài: {title}
-Nội dung bài:
-{context}
-
-Câu hỏi: {question}
-
-Yêu cầu:
-- Trả lời bằng tiếng Việt.
-- Dựa sát nội dung bài, nếu bài không có thông tin thì nói rõ.
-- Giải thích chi tiết, có gạch đầu dòng khi hữu ích.
-"""
-    ans=await base.qwen_generate(prompt,max_tokens=1200)
-    if not ans:ans='AI chưa trả lời được lúc này. Bạn thử hỏi lại hoặc rút gọn câu hỏi.'
-    return JSONResponse({'answer':ans,'title':title})
-
-FINAL4_INJECT = r'''
-<style>
-/* Ensure topic Qwen button is visible; earlier patches hide any button containing “chủ đề”. */
-.topic-final4{display:flex!important;flex-direction:column!important;gap:8px!important;width:100%!important;margin-top:6px}.topic-final4 input,.topic-final4 button{display:block!important;width:100%!important;box-sizing:border-box!important}.topic-final4 button{background:#2d8659!important;color:#fff!important;border:0!important;border-radius:18px!important;padding:9px 12px!important;font-size:11px!important;font-weight:700!important}.article-ai-ask{margin-top:12px;background:#141414;border:1px solid #2a2a2a;border-radius:10px;padding:10px}.article-ai-ask textarea{width:100%;min-height:70px;background:#222;border:1px solid #444;color:#eee;border-radius:10px;padding:9px}.article-ai-ask button{background:#2d8659;border:0;color:#fff;border-radius:10px;padding:8px 12px;margin-top:6px}.article-ai-answer{white-space:pre-wrap;color:#ccc;font-size:13px;line-height:1.55;margin-top:8px}.ai-compose-row:has(#ai-url-input){display:flex!important;flex-direction:column!important}.ai-compose-row:has(#ai-url-input) input,.ai-compose-row:has(#ai-url-input) button{width:100%!important}
-</style>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]));}
-let shortsMap={};
-function ensureTopicButtonFinal4(){let comp=document.querySelector('.ai-compose');if(!comp)return;if(!document.getElementById('ai-topic-input-final4')){let row=document.createElement('div');row.className='topic-final4';row.innerHTML='<input id="ai-topic-input-final4" placeholder="Nhập chủ đề để Qwen2.5VL tạo bài lên Tường AI..."><button id="ai-topic-btn-final4" onclick="createTopicPostFinal4()">✨ Tạo bài bằng Qwen</button>';comp.insertBefore(row,comp.firstChild.nextSibling);}let b=document.getElementById('ai-topic-btn-final4');if(b){b.style.display='block';b.textContent='✨ Tạo bài bằng Qwen';}}
-window.createTopicPostFinal4=async function(){let inp=document.getElementById('ai-topic-input-final4');let topic=(inp&&inp.value||'').trim();if(!topic)return alert('Nhập chủ đề trước');let btn=document.getElementById('ai-topic-btn-final4');if(btn){btn.disabled=true;btn.textContent='Đang tạo...'}try{let r=await fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})});let j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');if(window.finalWall)window.finalWall.unshift(j.post);if(window.finalWall3)window.finalWall3.unshift(j.post);if(inp)inp.value='';if(window.renderWall)window.renderWall();alert('Đã tạo bài bằng Qwen và đăng lên Tường AI.');}catch(e){alert(e.message)}finally{if(btn){btn.disabled=false;btn.textContent='✨ Tạo bài bằng Qwen'}}};
-// Guarantee Shorts slide appears on home even if previous loadHome missed it.
-async function ensureShortsHome(){let home=document.getElementById('view-home');if(!home||document.getElementById('shorts-final4'))return;let sh=await fetch('/api/shorts?refresh=1').then(r=>r.json()).catch(()=>[]);if(!sh.length)return;let wrap=document.createElement('div');wrap.id='shorts-final4';wrap.className='slider-wrap';let h='<div class="slider-header"><span class="slider-label">📱 Shorts Dân trí & SKĐS</span><span class="slider-note">Cập nhật YouTube</span></div><div class="slider-track">';sh.slice(0,30).forEach((a,i)=>{shortsMap[a.id]=a;h+=`<div class="slider-item shorts-item" onclick="openTikTok('shorts',${i})"><div class="slider-thumb shorts-thumb">${a.img?`<img src="${a.img}">`:''}<div class="card-play">▶</div></div><div class="slider-title">${esc(a.title)}</div></div>`});h+='</div>';wrap.innerHTML=h;let after=document.querySelector('.ai-compose')||home.firstChild;if(after)after.after(wrap);else home.prepend(wrap);}
-// Patch ask for YouTube shorts: AI receives title/context.
-let oldShortAct=window.shortAct;
-window.shortAct=async function(kind,id,action,text=''){let meta=shortsMap[id]||{};let url='/api/ai/interact';let body={id,kind:kind==='yt'?'yt':kind,action,text,title:meta.title||'',context:meta.title?('Video Shorts YouTube từ kênh '+(meta.channel||'')+'. Tiêu đề: '+meta.title):''};let r=await fetch(url,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify(body)});let j=await r.json();let st=j.stats||j;let v=document.getElementById(`v-${kind}-${id}`),l=document.getElementById(`l-${kind}-${id}`);if(v&&st.views!=null)v.textContent=st.views;if(l&&st.likes!=null)l.textContent=st.likes;return st;};
-window.submitShortAsk=async function(kind,id){let t=document.getElementById('short-ask-text').value.trim();if(!t)return;let st=await shortAct(kind,id,'ask',t);let a=(st.asks&&st.asks[0]&&st.asks[0].a)||'Chưa có trả lời';document.getElementById('short-answer').innerHTML='<p style="white-space:pre-wrap;color:#ccc">'+esc(a)+'</p>';};
-// Patch openTikTok to populate shortsMap.
-let oldOpenTikTok=window.openTikTok;
-window.openTikTok=async function(type,startIdx){if(type==='shorts'){let arts=await fetch('/api/shorts?refresh=1').then(r=>r.json()).catch(()=>[]);arts.forEach(a=>{if(a.id)shortsMap[a.id]=a});}return oldOpenTikTok?oldOpenTikTok(type,startIdx):null;};
-function addArticleAskBox(){let view=document.getElementById('view-article');if(!view||document.getElementById('article-ai-ask'))return;let art=view.querySelector('.article-view');if(!art)return;let box=document.createElement('div');box.id='article-ai-ask';box.className='article-ai-ask';box.innerHTML='<h3 style="font-size:14px;color:#5cb87a;margin-bottom:6px">🤖 Hỏi AI về bài viết</h3><textarea id="article-ai-question" placeholder="Nhập câu hỏi cần AI trả lời chi tiết về bài viết..."></textarea><button onclick="askArticleAI()">Hỏi AI</button><div id="article-ai-answer" class="article-ai-answer"></div>';art.appendChild(box);}
-window.askArticleAI=async function(){let q=document.getElementById('article-ai-question')?.value.trim();if(!q)return alert('Nhập câu hỏi trước');let ans=document.getElementById('article-ai-answer');ans.textContent='Đang hỏi AI...';let url=(window._currentArticle&&window._currentArticle.url)||((typeof _currentArticle!=='undefined'&&_currentArticle.url)||'');let context=document.querySelector('.article-view')?.innerText||'';try{let r=await fetch('/api/article/ask',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url,question:q,context})});let j=await r.json();ans.textContent=j.answer||j.error||'Không có trả lời';}catch(e){ans.textContent='Lỗi hỏi AI: '+e.message}}
-let oldReadArticle=window.readArticle;if(oldReadArticle){window.readArticle=async function(){let ret=await oldReadArticle.apply(this,arguments);setTimeout(addArticleAskBox,700);return ret;}}
-setTimeout(()=>{ensureTopicButtonFinal4();ensureShortsHome();},1000);setInterval(()=>{ensureTopicButtonFinal4();if(document.getElementById('view-home')?.classList.contains('active'))ensureShortsHome();addArticleAskBox();},2000);
-})();
-</script>
-'''
-
-@app.get('/')
-async def index_final4():
-    html=f3.f2.f1._load_index_html();body=getattr(rt.old,'PATCH_INJECT','')+f3.f2.f1.FINAL_INJECT+f3.FINAL3_INJECT+FINAL4_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)

ai_runtime_final5.py

@@ -1,73 +0,0 @@
-"""Final5 runtime: remove duplicate topic box, improve Qwen topic knowledge output, fix Shorts direct playback."""
-import re, time
-from urllib.parse import quote
-import ai_runtime_final4 as f4
-from ai_runtime_final4 import app, base, rt, HTMLResponse, JSONResponse, Request, Query
-
-# Remove topic/root endpoints to override.
-_PATCH={('/api/topic_post','POST'),('/','GET')}
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-def clean(s):
-    import html as html_lib
-    return re.sub(r"\s+"," ",html_lib.unescape(s or "")).strip()
-
-def _topic_image(topic):
-    try:return base.pollinations_image_url(topic)
-    except Exception:return "https://image.pollinations.ai/prompt/"+quote("Vietnamese educational editorial illustration "+topic)+"?width=1024&height=576&nologo=true"
-
-@app.post('/api/topic_post')
-async def topic_post_knowledge(request:Request):
-    body=await request.json();topic=clean(body.get('topic',''))
-    if not topic:return JSONResponse({'error':'missing topic'},status_code=400)
-    img=_topic_image(topic)
-    prompt=f"""Người dùng muốn đăng một bài trên Tường AI về chủ đề: "{topic}".
-
-Hãy viết NGAY nội dung kiến thức/thông tin hữu ích về chủ đề đó, không lập dàn ý chung chung, không nói "có thể viết", không hướng dẫn cách viết.
-
-Yêu cầu đầu ra:
-- Tiêu đề hấp dẫn, cụ thể.
-- 1 đoạn mở đầu giải thích trực tiếp chủ đề là gì/vì sao đáng chú ý.
-- 5-7 đoạn hoặc ý chính cung cấp kiến thức thực chất, ví dụ, bối cảnh, tác động, hiểu lầm thường gặp, điểm cần lưu ý.
-- Nếu chủ đề là thể thao, hãy nói về bối cảnh, nhân vật/đội bóng, ý nghĩa chiến thuật hoặc lịch sử liên quan.
-- Nếu chủ đề là công nghệ/khoa học/xã hội, hãy giải thích khái niệm, ứng dụng, rủi ro/lợi ích, ví dụ thực tế.
-- Không bịa số liệu thời sự mới; nếu không chắc, dùng cách nói thận trọng.
-- Viết như bài đăng hoàn chỉnh để đọc được ngay.
-- Cuối bài thêm: Nguồn tham khảo: Qwen2.5-VL / kiến thức tổng hợp.
-"""
-    text=await base.qwen_generate(prompt,image_url=img,max_tokens=1400)
-    if not text:
-        text=f"{topic}\n\n{topic} là một chủ đề có nhiều khía cạnh cần nhìn từ bối cảnh, ý nghĩa thực tế và tác động đối với người quan tâm. Bài viết này tóm lược các điểm quan trọng nhất để người đọc hiểu nhanh vấn đề, thay vì chỉ liệt kê tiêu đề hoặc dàn ý.\n\nNguồn tham khảo: Qwen2.5-VL / kiến thức tổng hợp."
-    post=base.make_post(topic,text,img,'','topic_qwen',sources=[{'title':'Qwen2.5-VL / kiến thức tổng hợp','url':'','via':'Qwen2.5-VL'}])
-    post['images']=[img]
-    posts=base._load_ai_wall();posts.insert(0,post);base._save_ai_wall(posts)
-    return JSONResponse({'post':post})
-
-FINAL5_INJECT=r'''
-<style>
-/* Keep exactly one topic input */
-#ai-topic-input-final3,.ai-compose-row.topic-final3,#ai-topic-input-final4,.topic-final4{display:none!important}.topic-final5{display:flex!important;flex-direction:column!important;gap:8px!important;width:100%!important;margin-top:6px}.topic-final5 input,.topic-final5 button{display:block!important;width:100%!important;box-sizing:border-box!important}.topic-final5 button{background:#2d8659!important;color:#fff!important;border:0!important;border-radius:18px!important;padding:9px 12px!important;font-size:11px!important;font-weight:700!important}
-</style>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]));}
-let shortsFinal5=[];
-function removeDuplicateTopicBoxes(){document.querySelectorAll('#ai-topic-input-final3,.topic-final3,#ai-topic-input-final4,.topic-final4').forEach(e=>{let row=e.closest('.topic-final3,.topic-final4,.ai-compose-row')||e;e.remove?row.remove():row.style.display='none'});let comp=document.querySelector('.ai-compose');if(!comp)return;if(!document.getElementById('ai-topic-input-final5')){let row=document.createElement('div');row.className='topic-final5';row.innerHTML='<input id="ai-topic-input-final5" placeholder="Bạn muốn AI viết kiến thức về chủ đề gì? Ví dụ: thần đồng Arsenal, AI trong giáo dục, biến đổi khí hậu..."><button id="ai-topic-btn-final5" onclick="createTopicPostFinal5()">✨ Tạo bài kiến thức bằng Qwen</button>';comp.insertBefore(row,comp.firstChild.nextSibling);} }
-window.createTopicPostFinal5=async function(){let inp=document.getElementById('ai-topic-input-final5');let topic=(inp&&inp.value||'').trim();if(!topic)return alert('Nhập chủ đề trước');let btn=document.getElementById('ai-topic-btn-final5');if(btn){btn.disabled=true;btn.textContent='Đang tạo bài...'}try{let r=await fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})});let j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');if(window.finalWall)window.finalWall.unshift(j.post);if(window.finalWall3)window.finalWall3.unshift(j.post);if(inp)inp.value='';if(window.renderWall)window.renderWall();if(window.renderAIShortHome)window.renderAIShortHome();alert('Đã tạo bài kiến thức và đăng lên Tường AI.');}catch(e){alert(e.message)}finally{if(btn){btn.disabled=false;btn.textContent='✨ Tạo bài kiến thức bằng Qwen'}}};
-async function loadShortsFinal5(){shortsFinal5=await fetch('/api/shorts?refresh=1').then(r=>r.json()).catch(()=>[]);return shortsFinal5;}
-function actionPanel(kind,id){return `<div class="short-action-panel"><button class="short-action-btn" onclick="shortAct('${kind}','${id}','view')"><div class="ico">👁</div><span id="v-${kind}-${id}">0</span></button><button class="short-action-btn" onclick="shortAct('${kind}','${id}','like')"><div class="ico">❤️</div><span id="l-${kind}-${id}">0</span></button><button class="short-action-btn" onclick="openCommentBox('${kind}','${id}')"><div class="ico">💬</div><span>BL</span></button><button class="short-action-btn" onclick="openAskBox('${kind}','${id}')"><div class="ico">🤖</div><span>Hỏi</span></button><button class="short-action-btn" onclick="shareShortCtx('${kind}','${id}')"><div class="ico">📤</div><span>Share</span></button></div>`}
-window.openShortsFinal5=async function(startIdx){let arts=shortsFinal5.length?shortsFinal5:await loadShortsFinal5();if(!arts.length)return alert('Chưa tải được Shorts');let ordered=startIdx>0?arts.slice(startIdx).concat(arts.slice(0,startIdx)):arts;showView('view-tiktok');let h='<button class="back-btn" onclick="switchCat(\'home\')">← Shorts Dân trí & SKĐS</button><div class="tiktok-container"><div class="tiktok-feed" id="tiktok-feed">';ordered.forEach((v,i)=>{let id=v.id||((v.link||'').match(/v=([A-Za-z0-9_-]{11})/)||[])[1]||String(i);let src='https://www.youtube.com/embed/'+id+'?autoplay=1&rel=0&playsinline=1';h+=`<div class="tiktok-slide" data-kind="yt" data-id="${id}" data-title="${esc(v.title)}" data-channel="${esc(v.channel||'')}"><iframe data-yt-src="${src}" allowfullscreen allow="accelerometer;autoplay;clipboard-write;encrypted-media;gyroscope;picture-in-picture"></iframe><div class="tiktok-bottom"><span class="badge badge-fpt">YT</span><p class="tiktok-title">${esc(v.title)}</p></div>${actionPanel('yt',id)}<span class="tiktok-counter">${i+1}/${ordered.length}</span></div>`});h+='</div></div>';document.getElementById('view-tiktok').innerHTML=h;initShortsFeedFinal5();}
-function initShortsFeedFinal5(){let feed=document.getElementById('tiktok-feed');if(!feed)return;let slides=feed.querySelectorAll('.tiktok-slide');let cur=-1;function act(i){if(i===cur)return;slides.forEach((sl,idx)=>{let fr=sl.querySelector('iframe');let v=sl.querySelector('video');if(idx===i){if(fr&&!fr.src&&fr.dataset.ytSrc)fr.src=fr.dataset.ytSrc;if(v)v.play().catch(()=>{});shortAct(sl.dataset.kind,sl.dataset.id,'view').catch(()=>{})}else{if(fr&&fr.src)fr.src='';if(v)v.pause();}});cur=i}let t;feed.addEventListener('scroll',()=>{clearTimeout(t);t=setTimeout(()=>{let rect=feed.getBoundingClientRect(),ctr=rect.top+rect.height/2,b=-1,d=1e9;slides.forEach((sl,i)=>{let dd=Math.abs(sl.getBoundingClientRect().top+sl.getBoundingClientRect().height/2-ctr);if(dd<d){d=dd;b=i}});if(b>=0)act(b)},130)});setTimeout(()=>act(0),250)}
-function patchShortsHomeClick(){let home=document.getElementById('view-home');if(!home)return;document.querySelectorAll('#shorts-final4 .slider-item').forEach((el,i)=>{el.setAttribute('onclick',`openShortsFinal5(${i})`)});document.querySelectorAll('.slider-wrap .slider-label').forEach(label=>{if((label.textContent||'').includes('Shorts')){let wrap=label.closest('.slider-wrap');wrap?.querySelectorAll('.slider-item').forEach((el,i)=>el.setAttribute('onclick',`openShortsFinal5(${i})`));}})}
-let oldOpen=window.openTikTok;window.openTikTok=function(type,startIdx){if(type==='shorts')return openShortsFinal5(startIdx||0);return oldOpen?oldOpen(type,startIdx):null;};
-// Make YouTube ask AI receive title/channel from slide dataset.
-let oldShortAct=window.shortAct;window.shortAct=async function(kind,id,action,text=''){let slide=document.querySelector(`.tiktok-slide[data-id="${id}"]`);let title=slide?.dataset.title||'';let channel=slide?.dataset.channel||'';let body={id,kind:kind==='yt'?'yt':kind,action,text,title,context:title?('Video Shorts YouTube từ kênh '+channel+'. Tiêu đề: '+title):''};let r=await fetch('/api/ai/interact',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify(body)});let j=await r.json();let st=j.stats||j;let v=document.getElementById(`v-${kind}-${id}`),l=document.getElementById(`l-${kind}-${id}`);if(v&&st.views!=null)v.textContent=st.views;if(l&&st.likes!=null)l.textContent=st.likes;return st;};
-setTimeout(async()=>{removeDuplicateTopicBoxes();await loadShortsFinal5();patchShortsHomeClick();},900);setInterval(()=>{removeDuplicateTopicBoxes();patchShortsHomeClick();},1800);
-})();
-</script>
-'''
-
-@app.get('/')
-async def index_final5():
-    html=f4.f3.f2.f1._load_index_html();body=getattr(rt.old,'PATCH_INJECT','')+f4.f3.f2.f1.FINAL_INJECT+f4.f3.FINAL3_INJECT+f4.FINAL4_INJECT+FINAL5_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)

ai_runtime_final6.py

@@ -1,1325 +0,0 @@
-"""Final6: robust topic synthesis, stable shorts, hot topic hashtags.
-
-This runtime intentionally overrides only the topic/shorts/root endpoints from the restored app.
-"""
-import re, time, json, os, threading, html as html_lib
-from urllib.parse import quote, urlparse, parse_qs, unquote
-import requests
-from bs4 import BeautifulSoup
-import ai_runtime_final5 as f5
-from ai_runtime_final5 import app, rt, HTMLResponse, JSONResponse, Request, Query
-
-_PATCH={('/api/topic_post','POST'),('/api/shorts','GET'),('/api/hot_topics','GET'),('/api/topic_sources','GET'),('/','GET')}
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in _PATCH)]
-
-_TOPIC_CACHE={}
-_HOT_CACHE={"t":0,"d":[]}
-_SHORTS_CACHE_FINAL6={"t":0,"d":[]}
-_TRANSLATE_CACHE_PATH="/data/title_vi_cache.json" if os.path.isdir('/data') else "/app/data/title_vi_cache.json"
-_translate_lock=threading.Lock()
-YOUTUBE_HANDLES=["baodantri7941","baosuckhoedoisongboyte"]
-UA={"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,en;q=0.8"}
-STOP_WORDS=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'.split())
-TRUSTED_SITES=['vnexpress.net','dantri.com.vn','vietnamnet.vn','tuoitre.vn','thanhnien.vn','laodong.vn','vov.vn','vtv.vn','genk.vn','cafef.vn','thethaovanhoa.vn']
-
-def clean(s):return re.sub(r"\s+"," ",html_lib.unescape(str(s or ""))).strip()
-def _domain(u):
-    try:return urlparse(u or '').netloc.replace('www.','')
-    except Exception:return ''
-
-def _load_title_cache():
-    try:
-        if os.path.exists(_TRANSLATE_CACHE_PATH):
-            with open(_TRANSLATE_CACHE_PATH,'r',encoding='utf-8') as f:return json.load(f)
-    except Exception:pass
-    return {}
-def _save_title_cache(db):
-    try:
-        os.makedirs(os.path.dirname(_TRANSLATE_CACHE_PATH),exist_ok=True);tmp=_TRANSLATE_CACHE_PATH+'.tmp'
-        with open(tmp,'w',encoding='utf-8') as f:json.dump(db,f,ensure_ascii=False)
-        os.replace(tmp,_TRANSLATE_CACHE_PATH)
-    except Exception:pass
-
-def _looks_vietnamese(s):
-    s=s or ''
-    if re.search(r'[àáạảãâầấậẩẫăằắặẳẵèéẹẻẽêềếệểễìíịỉĩòóọỏõôồốộổỗơờớợởỡùúụủũưừứựửữỳýỵỷỹđ]',s,re.I):return True
-    low=' '+s.lower()+' '
-    return any(w in low for w in [' và ',' của ',' người ',' tại ',' trong ',' với ',' không ',' được ',' công an ',' bệnh viện ',' học sinh ',' tài xế ',' bóng đá ',' tin tức ',' sức khỏe '])
-def _translate_title_vi(title):
-    title=clean(title)
-    if not title or _looks_vietnamese(title):return title
-    with _translate_lock:
-        db=_load_title_cache()
-        if title in db:return db[title]
-    vi=title
-    try:
-        r=requests.get('https://translate.googleapis.com/translate_a/single',params={'client':'gtx','sl':'auto','tl':'vi','dt':'t','q':title},headers=UA,timeout=8)
-        if r.status_code==200:
-            data=r.json();vi=''.join(part[0] for part in data[0] if part and part[0]).strip() or title
-    except Exception:pass
-    vi=clean(vi)
-    with _translate_lock:
-        db=_load_title_cache();db[title]=vi;_save_title_cache(db)
-    return vi
-
-# ===== Hot topics / hashtags =====
-def _keywords_from_title(title):
-    title=clean(re.sub(r'\s+-\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_WORDS]
-    phrases=[]
-    for n in (4,3,2):
-        for i in range(0,max(0,len(words)-n+1)):
-            ph=' '.join(words[i:i+n]).strip()
-            if len(ph)>=8:phrases.append(ph)
-    if words:phrases.append(' '.join(words[:5]))
-    return phrases[:4]
-
-def _hot_topics():
-    now=time.time()
-    if _HOT_CACHE['d'] and now-_HOT_CACHE['t']<900:return _HOT_CACHE['d']
-    topics=[];seen=set()
-    feeds=[
-        'https://news.google.com/rss?hl=vi&gl=VN&ceid=VN:vi',
-        'https://news.google.com/rss/headlines/section/topic/NATION?hl=vi&gl=VN&ceid=VN:vi',
-        'https://news.google.com/rss/headlines/section/topic/BUSINESS?hl=vi&gl=VN&ceid=VN:vi',
-        'https://news.google.com/rss/headlines/section/topic/SPORTS?hl=vi&gl=VN&ceid=VN:vi',
-        'https://news.google.com/rss/headlines/section/topic/TECHNOLOGY?hl=vi&gl=VN&ceid=VN:vi'
-    ]
-    for feed in feeds:
-        try:
-            r=requests.get(feed,headers=UA,timeout=10);r.encoding='utf-8'
-            soup=BeautifulSoup(r.text,'xml')
-            for it in soup.find_all('item')[:15]:
-                title=clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-                for kw in _keywords_from_title(title):
-                    key=kw.lower()
-                    if key not in seen and len(kw)<=60:
-                        seen.add(key);topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw})
-                    if len(topics)>=24:break
-                if len(topics)>=24:break
-        except Exception:pass
-        if len(topics)>=24:break
-    for kw in ['AI trong giáo dục','World Cup 2026','kinh tế Việt Nam','biến đổi khí hậu','giá vàng','bóng đá Việt Nam','an ninh mạng','xe điện','sức khỏe tinh thần','thị trường chứng khoán']:
-        if kw.lower() not in seen:topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw})
-    _HOT_CACHE.update({'t':now,'d':topics[:24]})
-    return _HOT_CACHE['d']
-@app.get('/api/hot_topics')
-def api_hot_topics():return JSONResponse({'topics':_hot_topics()})
-
-# ===== Topic web research =====
-def _unwrap_ddg_href(href):
-    if not href:return ''
-    if href.startswith('//duckduckgo.com/l/?') or 'duckduckgo.com/l/?' in href:
-        qs=parse_qs(urlparse('https:'+href if href.startswith('//') else href).query)
-        return unquote(qs.get('uddg',[''])[0])
-    return href
-
-def _ddg_search(query, limit=10):
-    items=[];seen=set()
-    try:
-        url='https://html.duckduckgo.com/html/?q='+quote(query)
-        r=requests.get(url,headers=UA,timeout=14);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'lxml')
-        for res in soup.select('.result'):
-            a=res.select_one('.result__title a') or res.find('a',href=True)
-            if not a:continue
-            link=_unwrap_ddg_href(a.get('href',''));title=clean(a.get_text(' ',strip=True));snippet=clean((res.select_one('.result__snippet') or res).get_text(' ',strip=True))
-            if not link.startswith('http') or link in seen:continue
-            if any(bad in link for bad in ['duckduckgo.com','youtube.com','facebook.com','tiktok.com','twitter.com','x.com']):continue
-            seen.add(link);items.append({'title':title,'url':link,'source':_domain(link),'snippet':snippet})
-            if len(items)>=limit:break
-    except Exception:pass
-    return items
-
-def _google_news_items(topic, limit=8):
-    items=[];seen=set()
-    try:
-        rss='https://news.google.com/rss/search?q='+quote(topic)+'&hl=vi&gl=VN&ceid=VN:vi'
-        r=requests.get(rss,headers=UA,timeout=12);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'xml')
-        for it in soup.find_all('item')[:limit*2]:
-            title=clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-            link=clean(it.find('link').get_text(strip=True) if it.find('link') else '')
-            src=clean(it.find('source').get_text(' ',strip=True) if it.find('source') else _domain(link))
-            if title and link and link not in seen:
-                seen.add(link);items.append({'title':title,'url':link,'source':src,'snippet':''})
-            if len(items)>=limit:break
-    except Exception:pass
-    return items
-
-def _candidate_urls(topic):
-    seen=set();items=[]
-    queries=[topic+' tin tức Việt Nam', topic+' phân tích bối cảnh', topic+' site:vnexpress.net OR site:dantri.com.vn OR site:vietnamnet.vn']
-    for q in queries:
-        for it in _ddg_search(q,8):
-            if it['url'] not in seen:
-                seen.add(it['url']);items.append(it)
-        if len(items)>=12:break
-    for site in TRUSTED_SITES[:8]:
-        for it in _ddg_search(f'{topic} site:{site}',3):
-            if it['url'] not in seen:
-                seen.add(it['url']);items.append(it)
-    for it in _google_news_items(topic,8):
-        if it['url'] not in seen:
-            seen.add(it['url']);items.append(it)
-    return items[:24]
-
-def _extract_article_text_bs(url, max_chars=9000):
-    try:
-        r=requests.get(url,headers=UA,timeout=16,allow_redirects=True)
-        if r.status_code>=400:return ''
-        r.encoding='utf-8';soup=BeautifulSoup(r.text,'lxml')
-        for tag in soup.find_all(['script','style','nav','footer','aside','form','noscript','iframe','svg']):tag.decompose()
-        candidates=[]
-        for sel in ['article','main','.article-content','.detail-content','.singular-content','.fck_detail','.content-detail','.entry-content','.story-body','.knc-content']:
-            el=soup.select_one(sel)
-            if el:candidates.append(el)
-        if not candidates:candidates=[soup.body or soup]
-        best=max(candidates,key=lambda el:len(el.find_all('p')) if el else 0)
-        ps=[]
-        for el in best.find_all(['p','h2','h3'],recursive=True):
-            t=clean(el.get_text(' ',strip=True))
-            if len(t)>45 and not any(x in t.lower() for x in ['đăng ký nhận tin','theo dõi chúng tôi','chuyên mục','xem thêm','tin liên quan','advertisement']):ps.append(t)
-            if sum(len(x) for x in ps)>max_chars:break
-        return '\n'.join(ps)[:max_chars]
-    except Exception:return ''
-
-def _jina_read_text(url, max_chars=9000):
-    try:
-        ju='https://r.jina.ai/http://'+url
-        r=requests.get(ju,headers=UA,timeout=28);r.encoding='utf-8'
-        if r.status_code!=200 or not r.text:return ''
-        lines=[]
-        for ln in r.text.splitlines():
-            t=clean(ln)
-            if not t or t.startswith(('Title:','URL Source:','Published Time:','Markdown Content:','Image:','Description:')):continue
-            if len(t)>45:lines.append(t)
-            if sum(len(x) for x in lines)>max_chars:break
-        return '\n'.join(lines)[:max_chars]
-    except Exception:return ''
-
-def _scrape_article_text(url, max_chars=9000):
-    text=_extract_article_text_bs(url,max_chars)
-    if len(text)<350:text=_jina_read_text(url,max_chars)
-    return text
-
-def _score_relevance(topic, title, text, snippet=''):
-    keys=[w.lower() for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+',topic) if len(w)>2 and w.lower() not in STOP_WORDS]
-    hay=(title+' '+snippet+' '+text[:2500]).lower()
-    if not keys:return 1
-    return sum(1 for k in keys if k in hay)
-
-def _web_research_context(topic):
-    now=time.time();key=topic.lower().strip()
-    if key in _TOPIC_CACHE and now-_TOPIC_CACHE[key]['t']<900:return _TOPIC_CACHE[key]['d']
-    items=_candidate_urls(topic)
-    crawled=[]
-    for it in items:
-        text=_scrape_article_text(it['url'],9000)
-        rel=_score_relevance(topic,it.get('title',''),text,it.get('snippet',''))
-        if text and len(text)>300 and rel>0:
-            crawled.append({**it,'text':text,'rel':rel})
-        elif it.get('snippet') and rel>0:
-            crawled.append({**it,'text':it['snippet'],'rel':rel,'snippet_only':True})
-    crawled=sorted(crawled,key=lambda x:(x.get('rel',0),len(x.get('text',''))),reverse=True)[:6]
-    blocks=[];sources=[]
-    for it in crawled:
-        label='ĐOẠN MÔ TẢ TỪ KẾT QUẢ TÌM KIẾM' if it.get('snippet_only') else 'NỘI DUNG BÀI VIẾT ĐÃ CRAWL'
-        blocks.append(f"NGUỒN: {it['source']}\nTIÊU ĐỀ: {it['title']}\n{label}:\n{it['text'][:8500]}")
-        sources.append({'title':it['title'],'url':it['url'],'via':it['source']})
-    data={'context':'\n\n---\n\n'.join(blocks),'sources':sources[:8],'count':len(blocks)}
-    _TOPIC_CACHE[key]={'t':now,'d':data}
-    return data
-
-def _topic_image(topic):
-    try:return f5.base.pollinations_image_url(topic)
-    except Exception:return 'https://image.pollinations.ai/prompt/'+quote('Vietnamese editorial illustration, '+topic)+'?width=1024&height=576&nologo=true'
-
-@app.get('/api/topic_sources')
-def api_topic_sources(topic:str=Query(...)):
-    data=_web_research_context(clean(topic))
-    return JSONResponse({'count':data.get('count',0),'sources':data.get('sources',[]),'has_context':bool(data.get('context'))})
-
-@app.post('/api/topic_post')
-async def topic_post_synthesis(request:Request):
-    body=await request.json();topic=clean(body.get('topic',''))
-    if not topic:return JSONResponse({'error':'missing topic'},status_code=400)
-    img=_topic_image(topic);research=_web_research_context(topic);context=research.get('context','');sources=research.get('sources',[])
-    if not context or research.get('count',0)==0:
-        return JSONResponse({'error':'Không tìm/crawl được đủ nội dung về chủ đề này. Hãy thử chủ đề cụ thể hơn hoặc dùng hashtag gợi ý.'},status_code=422)
-    prompt=f"""Bạn là biên tập viên VNEWS. Người dùng chọn chủ đề: "{topic}".
-
-Dưới đây là NỘI DUNG các bài viết/đoạn mô tả đã crawl từ internet. Hãy đọc hiểu và TỔNG HỢP thành MỘT BÀI VIẾT HOÀN CHỈNH. Tuyệt đối không bê nguyên văn, không xếp danh sách tiêu đề thành bài viết, không viết kiểu trả lời chat.
-
-DỮ LIỆU CRAWL:
-{context[:30000]}
-
-Yêu cầu bắt buộc:
-- Viết bằng tiếng Việt, văn phong báo điện tử/tạp chí.
-- Tiêu đề mới, rõ, hấp dẫn.
-- Sapo 2-3 câu nêu vấn đề chính.
-- 5-8 đoạn nội dung tổng hợp: bối cảnh, diễn biến/khái niệm, phân tích, tác động, điểm cần lưu ý.
-- Dùng thông tin từ nội dung đã crawl để tổng hợp ý; nếu chỉ có mô tả tìm kiếm thì viết thận trọng.
-- KHÔNG liệt kê các tiêu đề nguồn. KHÔNG mở đầu bằng "Dưới đây là" hay "Tôi sẽ".
-- Cuối bài thêm mục "Nguồn tham khảo" gồm tên nguồn ngắn gọn.
-"""
-    text=await f5.base.qwen_generate(prompt,image_url=img,max_tokens=2800)
-    if not text or len(text)<500:
-        parts=[]
-        for block in context.split('---'):
-            body=block.split('NỘI DUNG BÀI VIẾT ĐÃ CRAWL:')[-1].split('ĐOẠN MÔ TẢ TỪ KẾT QUẢ TÌM KIẾM:')[-1].strip()
-            if len(body)>120:parts.append(body)
-        joined='\n\n'.join(parts)[:8500]
-        text=(f"{topic}: những điểm chính cần biết\n\n{topic} đang thu hút sự chú ý vì liên quan đến nhiều khía cạnh thực tế. Tổng hợp từ các nội dung thu thập được, có thể nhìn vấn đề qua bối cảnh, tác động và những điểm cần theo dõi.\n\n"+joined+"\n\nNguồn tham khảo: "+', '.join(sorted({s.get('via','') for s in sources if s.get('via')})))
-    post=f5.base.make_post(topic,text,img,'','topic_web_synthesis',sources=[s for s in sources if s.get('url')]);post['images']=[img]
-    posts=f5.base._load_ai_wall();posts.insert(0,post);f5.base._save_ai_wall(posts)
-    return JSONResponse({'post':post})
-
-# ===== Stable newest Dantri/SKDS Shorts =====
-def _yt_ytdlp(handle,count=30):
-    try:
-        import yt_dlp
-        urls=[f'https://www.youtube.com/@{handle}/shorts',f'https://www.youtube.com/@{handle}/videos']
-        out=[];seen=set();opts={'quiet':True,'extract_flat':True,'skip_download':True,'playlistend':count,'ignoreerrors':True,'no_warnings':True,'extractor_args':{'youtube':{'player_client':['web']}}}
-        for url in urls:
-            with yt_dlp.YoutubeDL(opts) as ydl:info=ydl.extract_info(url,download=False)
-            for e in (info or {}).get('entries') or []:
-                vid=e.get('id') or ''
-                if not re.match(r'^[A-Za-z0-9_-]{11}$',vid) or vid in seen:continue
-                title=e.get('title') or 'YouTube Short'
-                if url.endswith('/videos') and '#short' not in title.lower() and 'shorts' not in title.lower():continue
-                seen.add(vid);out.append({'title':title,'link':'https://www.youtube.com/watch?v='+vid,'img':'https://i.ytimg.com/vi/'+vid+'/hqdefault.jpg','source':'yt','id':vid,'channel':handle})
-                if len(out)>=count:break
-            if len(out)>=count:break
-        return out
-    except Exception:return []
-def _yt_html(handle,count=30):
-    out=[];seen=set()
-    for suffix in ['shorts','videos']:
-        try:
-            r=requests.get(f'https://www.youtube.com/@{handle}/{suffix}',headers=UA,timeout=15);html=r.text
-            for m in re.finditer(r'"videoId":"([A-Za-z0-9_-]{11})"',html):
-                vid=m.group(1)
-                if vid in seen:continue
-                snip=html[max(0,m.start()-1200):m.start()+2200];title='YouTube Short'
-                mt=re.search(r'"title":\{"runs":\[\{"text":"([^"]+)"',snip) or re.search(r'"accessibilityText":"([^"]+)"',snip)
-                if mt:title=clean(mt.group(1).replace('\\n',' '))
-                if suffix=='videos' and '#short' not in title.lower() and 'shorts' not in title.lower():continue
-                seen.add(vid);out.append({'title':title,'link':'https://www.youtube.com/watch?v='+vid,'img':'https://i.ytimg.com/vi/'+vid+'/hqdefault.jpg','source':'yt','id':vid,'channel':handle})
-                if len(out)>=count:break
-        except Exception:pass
-        if len(out)>=count:break
-    return out[:count]
-def _fallback_shorts():
-    try:return f5._fallback_shorts()
-    except Exception:return []
-@app.get('/api/shorts')
-def api_shorts_final6(refresh:int=Query(default=0)):
-    now=time.time()
-    if not refresh and _SHORTS_CACHE_FINAL6['d'] and now-_SHORTS_CACHE_FINAL6['t']<600:return JSONResponse(_SHORTS_CACHE_FINAL6['d'])
-    raw=[]
-    for h in YOUTUBE_HANDLES:raw.extend(_yt_ytdlp(h,30) or _yt_html(h,30))
-    raw.extend(_fallback_shorts())
-    seen=set();out=[]
-    for v in raw:
-        vid=v.get('id') or ''
-        if not vid:
-            m=re.search(r'(?:v=|shorts/|youtu\.be/)([A-Za-z0-9_-]{11})',v.get('link',''));vid=m.group(1) if m else ''
-        title=_translate_title_vi(v.get('title') or 'YouTube Short');key=vid or re.sub(r'\W+','',title.lower())[:80]
-        if not key or key in seen:continue
-        seen.add(key);item=dict(v);item['id']=vid;item['title']=title
-        if vid:item['link']='https://www.youtube.com/watch?v='+vid;item['img']='https://i.ytimg.com/vi/'+vid+'/hqdefault.jpg'
-        item['source']='yt';out.append(item)
-        if len(out)>=40:break
-    _SHORTS_CACHE_FINAL6.update({'t':now,'d':out})
-    return JSONResponse(out)
-
-FINAL6_INJECT=r'''
-<style>
-#ai-topic-input-final3,.topic-final3,#ai-topic-input-final4,.topic-final4{display:none!important}.topic-final5{display:flex!important}.ai-wall-topic-live{margin:6px 4px;background:#1a1a1a;border:1px solid #2a2a2a;border-radius:8px;overflow:hidden}.hot-topic-row{display:flex;gap:6px;overflow-x:auto;padding:4px 0}.hot-chip{flex:0 0 auto;background:#222;border:1px solid #333;color:#ddd;border-radius:16px;padding:5px 10px;font-size:11px;cursor:pointer}.hot-chip:active{transform:scale(.96)}.topic-source-note{font-size:10px;color:#777;margin-top:4px;line-height:1.3}
-</style>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]));}
-let liveTopicWall=[];
-async function ensureHotTopics(){let inp=document.getElementById('ai-topic-input-final5');if(!inp||document.getElementById('hot-topic-row-final6'))return;let row=document.createElement('div');row.id='hot-topic-row-final6';row.className='hot-topic-row';row.innerHTML='<span style="color:#777;font-size:11px;padding:5px 0">Đang tải từ khóa nóng...</span>';inp.insertAdjacentElement('afterend',row);let note=document.createElement('div');note.id='topic-source-note';note.className='topic-source-note';note.textContent='AI sẽ tìm nhiều nguồn, crawl nội dung bài viết rồi tổng hợp thành bài mới.';row.insertAdjacentElement('afterend',note);let j=await fetch('/api/hot_topics').then(r=>r.json()).catch(()=>({topics:[]}));let topics=j.topics||[];row.innerHTML=topics.slice(0,18).map(t=>`<button class="hot-chip" onclick="document.getElementById('ai-topic-input-final5').value='${esc(t.topic).replace(/'/g,'\\\'')}';document.getElementById('ai-topic-input-final5').focus();">${esc(t.label)}</button>`).join('')||'';}
-async function ensureNewsShortsHome(){if(!document.getElementById('view-home')?.classList.contains('active'))return;let labels=[...document.querySelectorAll('.slider-wrap .slider-label')];let wraps=labels.filter(l=>/shorts|short /i.test(l.textContent||'')&&!/short ai/i.test(l.textContent||'')).map(l=>l.closest('.slider-wrap')).filter(Boolean);wraps.forEach((w,i)=>{if(i>0)w.remove();});let w=wraps[0];if(w){let seen=new Set();[...w.querySelectorAll('.slider-item')].forEach(it=>{let img=it.querySelector('img')?.src||'';let tt=(it.querySelector('.slider-title')?.textContent||'').trim().toLowerCase();let k=img||tt;if(k&&seen.has(k))it.remove();else if(k)seen.add(k);});if(w.querySelectorAll('.slider-item').length>=6)return;w.remove();}let sh=await fetch('/api/shorts?refresh=1').then(r=>r.json()).catch(()=>[]);if(!sh.length)return;let wrap=document.createElement('div');wrap.className='slider-wrap';wrap.id='shorts-final6-stable';let h='<div class="slider-header"><span class="slider-label">📱 Shorts Dân trí & SKĐS</span><span class="slider-note">Mới nhất</span></div><div class="slider-track">';sh.slice(0,30).forEach((a,i)=>{h+=`<div class="slider-item shorts-item" onclick="openTikTok('shorts',${i})"><div class="slider-thumb shorts-thumb">${a.img?`<img src="${esc(a.img)}">`:''}<div class="card-play">▶</div></div><div class="slider-title">${esc(a.title)}</div></div>`});h+='</div>';wrap.innerHTML=h;let comp=document.querySelector('.ai-compose')||document.getElementById('view-home').firstChild;if(comp)comp.after(wrap);else document.getElementById('view-home').prepend(wrap);}
-function renderLiveTopicWall(){let home=document.getElementById('view-home');if(!home||!liveTopicWall.length)return;document.getElementById('ai-wall-topic-live')?.remove();let wrap=document.createElement('div');wrap.id='ai-wall-topic-live';wrap.className='ai-wall-topic-live';let h='<div class="slider-header"><span class="slider-label">🧱 Tường AI mới</span><span class="slider-note">Tổng hợp từ web</span></div><div class="slider-track">';liveTopicWall.slice(0,20).forEach((p,i)=>{h+=`<div class="wall-item"><div class="wall-thumb">${p.img?`<img src="${esc(p.img)}">`:''}</div><div class="wall-title">${esc(p.title)}</div><div class="wall-text">${esc(p.text)}</div><div class="wall-actions"><button class="primary" onclick="readLiveTopicWall(${i})">Xem</button></div></div>`});h+='</div>';wrap.innerHTML=h;let comp=document.querySelector('.ai-compose');if(comp)comp.after(wrap);else home.prepend(wrap);}
-window.readLiveTopicWall=function(i){let p=liveTopicWall[i];if(!p)return;showView('view-article');let imgs=(p.images||[]).filter(Boolean);let gal=imgs.length?'<div class="ai-wall-gallery">'+imgs.slice(0,12).map(u=>`<img src="${esc(u)}" loading="lazy">`).join('')+'</div>':(p.img?`<img class="article-img" src="${esc(p.img)}">`:'');document.getElementById('view-article').innerHTML=`<button class="back-btn" onclick="switchCat('home')">← Quay lại</button><div class="article-view"><span class="badge badge-ai">AI</span><h1 class="article-title">${esc(p.title)}</h1>${gal}<p class="article-p" style="white-space:pre-wrap">${esc(p.text)}</p><div class="article-actions"><button onclick="shareAI?shareAI(${JSON.stringify(p).replace(/"/g,'&quot;')},false):navigator.clipboard.writeText(location.href)">📤 Chia sẻ</button></div></div>`;window.scrollTo(0,0)};
-window.createTopicPostFinal5=async function(){let inp=document.getElementById('ai-topic-input-final5');let topic=(inp&&inp.value||'').trim();if(!topic)return alert('Nhập chủ đề trước');let btn=document.getElementById('ai-topic-btn-final5');if(btn){btn.disabled=true;btn.textContent='Đang tìm nguồn...'}try{let src=await fetch('/api/topic_sources?topic='+encodeURIComponent(topic)).then(r=>r.json()).catch(()=>null);if(btn&&src)btn.textContent='Đã tìm '+(src.count||0)+' nguồn, đang tổng hợp...';let r=await fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})});let j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');liveTopicWall.unshift(j.post);if(inp)inp.value='';renderLiveTopicWall();readLiveTopicWall(0);alert('Đã tạo bài tổng hợp từ nội dung web và đăng lên Tường AI.');}catch(e){alert(e.message)}finally{if(btn){btn.disabled=false;btn.textContent='✨ Tạo bài tổng hợp từ web bằng Qwen'}}};
-setInterval(()=>{document.querySelectorAll('#ai-topic-input-final3,.topic-final3,#ai-topic-input-final4,.topic-final4').forEach(e=>(e.closest('.topic-final3,.topic-final4,.ai-compose-row')||e).remove());let b=document.getElementById('ai-topic-btn-final5');if(b){b.style.display='block';b.textContent='✨ Tạo b��i tổng hợp từ web bằng Qwen';}ensureHotTopics();ensureNewsShortsHome();},1200);setTimeout(()=>{ensureHotTopics();ensureNewsShortsHome();},1200);
-})();
-</script>
-'''
-
-@app.get('/')
-async def index_final6():
-    html=f5.f4.f3.f2.f1._load_index_html()
-    body=getattr(rt.old,'PATCH_INJECT','')+f5.f4.f3.f2.f1.FINAL_INJECT+f5.f4.f3.FINAL3_INJECT+f5.f4.FINAL4_INJECT+f5.FINAL5_INJECT+FINAL6_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)
-
-
-# ===== FINAL6B: Vietnam hot hashtags + reliable VN RSS/source retrieval =====
-VN_RSS_FEEDS = [
-    ('VnExpress Thời sự','https://vnexpress.net/rss/thoi-su.rss'),
-    ('VnExpress Thế giới','https://vnexpress.net/rss/the-gioi.rss'),
-    ('VnExpress Kinh doanh','https://vnexpress.net/rss/kinh-doanh.rss'),
-    ('VnExpress Công nghệ','https://vnexpress.net/rss/so-hoa.rss'),
-    ('VnExpress Thể thao','https://vnexpress.net/rss/the-thao.rss'),
-    ('VnExpress Giải trí','https://vnexpress.net/rss/giai-tri.rss'),
-    ('VnExpress Sức khỏe','https://vnexpress.net/rss/suc-khoe.rss'),
-    ('VnExpress Giáo dục','https://vnexpress.net/rss/giao-duc.rss'),
-    ('Dân trí Xã hội','https://dantri.com.vn/rss/xa-hoi.rss'),
-    ('Dân trí Thế giới','https://dantri.com.vn/rss/the-gioi.rss'),
-    ('Dân trí Kinh doanh','https://dantri.com.vn/rss/kinh-doanh.rss'),
-    ('Dân trí Sức khỏe','https://dantri.com.vn/rss/suc-khoe.rss'),
-    ('Dân trí Thể thao','https://dantri.com.vn/rss/the-thao.rss'),
-    ('Dân trí Công nghệ','https://dantri.com.vn/rss/suc-manh-so.rss'),
-    ('Vietnamnet Thời sự','https://vietnamnet.vn/thoi-su.rss'),
-    ('Vietnamnet Kinh doanh','https://vietnamnet.vn/kinh-doanh.rss'),
-    ('Vietnamnet Công nghệ','https://vietnamnet.vn/cong-nghe.rss'),
-    ('Vietnamnet Thể thao','https://vietnamnet.vn/the-thao.rss'),
-]
-
-def _fetch_rss_items(feed_name, feed_url, max_items=15):
-    items=[]
-    try:
-        r=requests.get(feed_url,headers=UA,timeout=10);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'xml')
-        for it in soup.find_all('item')[:max_items]:
-            title=clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-            link=clean(it.find('link').get_text(strip=True) if it.find('link') else '')
-            desc=it.find('description').get_text(' ',strip=True) if it.find('description') else ''
-            desc_txt=clean(BeautifulSoup(desc,'lxml').get_text(' ',strip=True))
-            if title and link:
-                items.append({'title':title,'url':link,'source':feed_name,'snippet':desc_txt})
-    except Exception:pass
-    return items
-
-def _vn_rss_pool():
-    now=time.time();key='vn_rss_pool'
-    if key in _TOPIC_CACHE and now-_TOPIC_CACHE[key]['t']<600:return _TOPIC_CACHE[key]['d']
-    pool=[];seen=set()
-    for name,url in VN_RSS_FEEDS:
-        for it in _fetch_rss_items(name,url,12):
-            if it['url'] not in seen:
-                seen.add(it['url']);pool.append(it)
-    _TOPIC_CACHE[key]={'t':now,'d':pool}
-    return pool
-
-def _topic_tokens(topic):
-    toks=[w.lower() for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+',topic or '') if len(w)>1]
-    return [t for t in toks if t not in STOP_WORDS]
-
-def _score_topic_item(topic,item):
-    toks=_topic_tokens(topic)
-    hay=(item.get('title','')+' '+item.get('snippet','')+' '+item.get('source','')).lower()
-    if not toks:return 0
-    score=0
-    for t in toks:
-        if t in hay:score+=2 if len(t)>3 else 1
-    phrase=topic.lower().strip()
-    if phrase and phrase in hay:score+=8
-    return score
-
-# Override: hashtags must be Việt Nam-focused, using VN news RSS directly.
-def _hot_topics():
-    now=time.time()
-    if _HOT_CACHE['d'] and now-_HOT_CACHE['t']<600:return _HOT_CACHE['d']
-    pool=_vn_rss_pool()
-    freq={};display={}
-    for it in pool[:180]:
-        title=re.sub(r'\s+-\s+.*$','',it.get('title',''))
-        # Extract compact Vietnamese hot phrases from current VN headlines.
-        kws=[]
-        # quoted/name phrases first
-        for m in re.findall(r'([A-ZĐÀ-Ỹ][A-Za-zÀ-ỹ0-9]+(?:\s+[A-ZĐÀ-ỸA-Za-zÀ-ỹ0-9][A-Za-zÀ-ỹ0-9]+){1,4})',title):
-            if len(m)>=6:kws.append(m)
-        kws += _keywords_from_title(title)
-        for kw in kws[:5]:
-            kw=clean(kw)
-            words=[w for w in kw.split() if w.lower() not in STOP_WORDS]
-            if len(words)<2:continue
-            kw=' '.join(words[:5])
-            if len(kw)<6 or len(kw)>55:continue
-            key=kw.lower()
-            freq[key]=freq.get(key,0)+1
-            display[key]=kw
-    ranked=sorted(freq.items(),key=lambda x:x[1],reverse=True)
-    topics=[];seen=set()
-    for key,_ in ranked:
-        kw=display[key]
-        if key in seen:continue
-        seen.add(key)
-        label='#'+re.sub(r'\s+','',kw.title())
-        topics.append({'label':label,'topic':kw})
-        if len(topics)>=24:break
-    # VN fallback, not generic global.
-    for kw in ['Giá vàng trong nước','Bão và mưa lũ','Bóng đá Việt Nam','Kinh tế Việt Nam','AI tại Việt Nam','Giá xăng dầu','Thị trường chứng khoán Việt Nam','Tuyển Việt Nam','Sức khỏe cộng đồng','An ninh mạng Việt Nam']:
-        if kw.lower() not in seen:topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw})
-    _HOT_CACHE.update({'t':now,'d':topics[:24]})
-    return _HOT_CACHE['d']
-
-def _candidate_urls(topic):
-    seen=set();items=[]
-    # 1) VN RSS pool relevance is most reliable and has direct URLs.
-    scored=[]
-    for it in _vn_rss_pool():
-        sc=_score_topic_item(topic,it)
-        if sc>0:scored.append((sc,it))
-    for sc,it in sorted(scored,key=lambda x:x[0],reverse=True)[:12]:
-        if it['url'] not in seen:
-            seen.add(it['url']);items.append(it)
-    # 2) Search trusted web if RSS not enough.
-    queries=[topic+' Việt Nam tin tức',topic+' phân tích Việt Nam',topic+' mới nhất']
-    for q in queries:
-        for it in _ddg_search(q,8):
-            if it['url'] not in seen:
-                seen.add(it['url']);items.append(it)
-        if len(items)>=14:break
-    # 3) Google News as supplemental titles/direct links.
-    for it in _google_news_items(topic,10):
-        if it['url'] not in seen:
-            seen.add(it['url']);items.append(it)
-    return items[:24]
-
-def _web_research_context(topic):
-    now=time.time();key='ctx2:'+topic.lower().strip()
-    if key in _TOPIC_CACHE and now-_TOPIC_CACHE[key]['t']<900:return _TOPIC_CACHE[key]['d']
-    items=_candidate_urls(topic)
-    crawled=[]
-    for it in items:
-        text=_scrape_article_text(it['url'],9000)
-        rel=_score_relevance(topic,it.get('title',''),text,it.get('snippet','')) or _score_topic_item(topic,it)
-        # If RSS item has good snippet, keep it even when full text blocks.
-        if text and len(text)>300 and rel>0:
-            crawled.append({**it,'text':text,'rel':rel})
-        elif it.get('snippet') and len(it['snippet'])>120 and rel>0:
-            crawled.append({**it,'text':it['snippet'],'rel':rel,'snippet_only':True})
-    crawled=sorted(crawled,key=lambda x:(x.get('rel',0),len(x.get('text',''))),reverse=True)[:7]
-    blocks=[];sources=[]
-    for it in crawled:
-        label='ĐOẠN MÔ TẢ TỪ RSS/TÌM KIẾM' if it.get('snippet_only') else 'NỘI DUNG BÀI VIẾT ĐÃ CRAWL'
-        blocks.append(f"NGUỒN: {it['source']}\nTIÊU ĐỀ: {it['title']}\n{label}:\n{it['text'][:8500]}")
-        sources.append({'title':it['title'],'url':it['url'],'via':it['source']})
-    data={'context':'\n\n---\n\n'.join(blocks),'sources':sources[:8],'count':len(blocks)}
-    _TOPIC_CACHE[key]={'t':now,'d':data}
-    return data
-
-
-# ===== FINAL6C: FAST topic generation (RSS cache first, no slow full-page crawling) =====
-import asyncio
-_FAST_TOPIC_CACHE={}
-FAST_RSS_FEEDS=[
-    ('VnExpress','https://vnexpress.net/rss/tin-moi-nhat.rss'),
-    ('VnExpress Thời sự','https://vnexpress.net/rss/thoi-su.rss'),
-    ('VnExpress Thế giới','https://vnexpress.net/rss/the-gioi.rss'),
-    ('VnExpress Kinh doanh','https://vnexpress.net/rss/kinh-doanh.rss'),
-    ('VnExpress Công nghệ','https://vnexpress.net/rss/so-hoa.rss'),
-    ('VnExpress Thể thao','https://vnexpress.net/rss/the-thao.rss'),
-    ('Dân trí','https://dantri.com.vn/rss/home.rss'),
-    ('Dân trí Xã hội','https://dantri.com.vn/rss/xa-hoi.rss'),
-    ('Dân trí Kinh doanh','https://dantri.com.vn/rss/kinh-doanh.rss'),
-    ('Dân trí Thể thao','https://dantri.com.vn/rss/the-thao.rss'),
-    ('Dân trí Công nghệ','https://dantri.com.vn/rss/suc-manh-so.rss'),
-    ('Vietnamnet','https://vietnamnet.vn/rss/tin-moi-nhat.rss'),
-    ('Vietnamnet Thời sự','https://vietnamnet.vn/thoi-su.rss'),
-    ('Vietnamnet Kinh doanh','https://vietnamnet.vn/kinh-doanh.rss'),
-    ('Vietnamnet Công nghệ','https://vietnamnet.vn/cong-nghe.rss'),
-    ('Vietnamnet Thể thao','https://vietnamnet.vn/the-thao.rss'),
-]
-
-def _fast_fetch_rss(feed_name, feed_url, max_items=20):
-    items=[]
-    try:
-        r=requests.get(feed_url,headers=UA,timeout=6);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'xml')
-        for it in soup.find_all('item')[:max_items]:
-            title=clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-            link=clean(it.find('link').get_text(strip=True) if it.find('link') else '')
-            desc_raw=it.find('description').get_text(' ',strip=True) if it.find('description') else ''
-            desc=clean(BeautifulSoup(desc_raw,'lxml').get_text(' ',strip=True))
-            if title and link:
-                items.append({'title':title,'url':link,'source':feed_name,'snippet':desc})
-    except Exception:pass
-    return items
-
-def _fast_rss_pool():
-    now=time.time();key='fast_rss_pool'
-    if key in _FAST_TOPIC_CACHE and now-_FAST_TOPIC_CACHE[key]['t']<600:return _FAST_TOPIC_CACHE[key]['d']
-    pool=[];seen=set()
-    # Sequential with short timeouts is predictable; RSS is small.
-    for name,url in FAST_RSS_FEEDS:
-        for it in _fast_fetch_rss(name,url,16):
-            if it['url'] not in seen:
-                seen.add(it['url']);pool.append(it)
-    _FAST_TOPIC_CACHE[key]={'t':now,'d':pool}
-    return pool
-
-def _fast_topic_tokens(topic):
-    toks=[w.lower() for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+',topic or '') if len(w)>1]
-    return [t for t in toks if t not in STOP_WORDS]
-
-def _fast_score(topic,item):
-    toks=_fast_topic_tokens(topic)
-    hay=(item.get('title','')+' '+item.get('snippet','')+' '+item.get('source','')).lower()
-    if not toks:return 0
-    score=0
-    for t in toks:
-        if t in hay:score+=3 if len(t)>3 else 1
-    phrase=topic.lower().strip()
-    if phrase and phrase in hay:score+=12
-    return score
-
-def _fast_sources(topic, limit=8):
-    pool=_fast_rss_pool()
-    scored=[]
-    for it in pool:
-        sc=_fast_score(topic,it)
-        if sc>0:scored.append((sc,it))
-    scored=sorted(scored,key=lambda x:(x[0],len(x[1].get('snippet',''))),reverse=True)
-    out=[];seen=set()
-    for sc,it in scored:
-        if it['url'] in seen:continue
-        seen.add(it['url']);out.append({**it,'score':sc})
-        if len(out)>=limit:break
-    # If topic too narrow and no match, use top latest from VN RSS as weak context instead of slow crawling.
-    if not out:
-        out=pool[:min(limit,8)]
-    return out
-
-def _fast_context(topic):
-    now=time.time();key='fast_ctx:'+topic.lower().strip()
-    if key in _FAST_TOPIC_CACHE and now-_FAST_TOPIC_CACHE[key]['t']<600:return _FAST_TOPIC_CACHE[key]['d']
-    sources=_fast_sources(topic,8)
-    blocks=[];src=[]
-    for it in sources:
-        text=(it.get('snippet') or '').strip()
-        # Use title + RSS description only: fast and reliable.
-        blocks.append(f"NGUỒN: {it.get('source','')}\nTIÊU ĐỀ: {it.get('title','')}\nTÓM TẮT RSS:\n{text}")
-        src.append({'title':it.get('title',''),'url':it.get('url',''),'via':it.get('source','')})
-    data={'context':'\n\n---\n\n'.join(blocks),'sources':src,'count':len(blocks)}
-    _FAST_TOPIC_CACHE[key]={'t':now,'d':data}
-    return data
-
-def _fallback_fast_article(topic, sources):
-    lines=[]
-    for s in sources[:7]:
-        title=s.get('title','')
-        if title:lines.append(title)
-    body='\n'.join('• '+x for x in lines[:7])
-    vias=', '.join(sorted({s.get('via','') for s in sources if s.get('via')}))
-    return (f"{topic}: những điểm đáng chú ý\n\n"
-            f"{topic} đang là chủ đề được quan tâm trong dòng tin tức hiện nay. Dựa trên các nguồn tin mới nhất, có thể tổng hợp nhanh một số điểm nổi bật để người đọc nắm bối cảnh và theo dõi tiếp diễn biến.\n\n"
-            f"Các nguồn tin liên quan cho thấy chủ đề này gắn với những diễn biến sau:\n{body}\n\n"
-            f"Nhìn chung, đây là vấn đề cần được theo dõi theo nhiều góc độ: bối cảnh, tác động thực tế, phản ứng của các bên liên quan và những thông tin cập nhật tiếp theo. Người đọc nên đối chiếu thêm các nguồn chính thống khi cần quyết định hoặc đánh giá chi tiết.\n\n"
-            f"Nguồn tham khảo: {vias}")
-
-# Remove previous slow topic routes and register fast versions last.
-app.router.routes=[r for r in app.router.routes if not any(getattr(r,'path',None)==p and m in getattr(r,'methods',set()) for p,m in {('/api/topic_post','POST'),('/api/topic_sources','GET')})]
-
-@app.get('/api/topic_sources')
-def api_topic_sources_fast(topic:str=Query(...)):
-    data=_fast_context(clean(topic))
-    return JSONResponse({'count':data.get('count',0),'sources':data.get('sources',[]),'has_context':bool(data.get('context')),'mode':'fast_rss'})
-
-@app.post('/api/topic_post')
-async def topic_post_fast(request:Request):
-    body=await request.json();topic=clean(body.get('topic',''))
-    if not topic:return JSONResponse({'error':'missing topic'},status_code=400)
-    img=_topic_image(topic)
-    research=_fast_context(topic);context=research.get('context','');sources=research.get('sources',[])
-    prompt=f"""Bạn là biên tập viên VNEWS. Hãy viết MỘT BÀI VIẾT HOÀN CHỈNH bằng tiếng Việt về chủ đề: {topic}
-
-Dữ liệu nhanh từ RSS nguồn Việt Nam:
-{context[:12000]}
-
-Yêu cầu:
-- Không liệt kê tiêu đề nguồn thành bài viết.
-- Tổng hợp thành bài báo/tạp chí hoàn chỉnh.
-- Có tiêu đề mới, sapo 2-3 câu, 4-6 đoạn phân tích/bối cảnh/tác động.
-- Diễn đạt lại, không sao chép nguyên văn.
-- Nếu dữ liệu ít, viết thận trọng và nêu các điểm cần theo dõi.
-- Cuối bài có mục Nguồn tham khảo.
-"""
-    text=None
-    try:
-        text=await asyncio.wait_for(f5.base.qwen_generate(prompt,image_url=img,max_tokens=1300),timeout=28)
-    except Exception:
-        text=None
-    if not text or len(text)<350:
-        text=_fallback_fast_article(topic,sources)
-    post=f5.base.make_post(topic,text,img,'','topic_fast_rss',sources=[s for s in sources if s.get('url')])
-    post['images']=[img]
-    posts=f5.base._load_ai_wall();posts.insert(0,post);f5.base._save_ai_wall(posts)
-    return JSONResponse({'post':post,'mode':'fast_rss','sources_count':len(sources)})
-
-
-# ===== FINAL6D: FAST HOME LOAD =====
-_FAST_HOME_CACHE={"t":0,"d":[]}
-_FAST_DT_CACHE={"t":0,"d":[]}
-_FAST_VNEGO_CACHE={"t":0,"d":[]}
-_FAST_HL_CACHE={"t":0,"d":[]}
-
-def _rss_articles_fast(feed_url, group, source='vne', limit=6):
-    out=[]
-    try:
-        r=requests.get(feed_url,headers=UA,timeout=4);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'xml')
-        for it in soup.find_all('item')[:limit*2]:
-            title=clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-            link=clean(it.find('link').get_text(strip=True) if it.find('link') else '')
-            desc_raw=it.find('description').get_text(' ',strip=True) if it.find('description') else ''
-            ds=BeautifulSoup(desc_raw,'lxml')
-            im=ds.find('img'); img=im.get('src','') if im else ''
-            desc=clean(ds.get_text(' ',strip=True))[:160]
-            if title and link:
-                out.append({'title':title,'link':link,'img':img,'summary':desc,'source':source,'group':group})
-            if len(out)>=limit:break
-    except Exception:pass
-    return out
-
-def _fast_homepage():
-    now=time.time()
-    if _FAST_HOME_CACHE['d'] and now-_FAST_HOME_CACHE['t']<600:return _FAST_HOME_CACHE['d']
-    feeds=[('Thời Sự','https://vnexpress.net/rss/thoi-su.rss'),('Thế Giới','https://vnexpress.net/rss/the-gioi.rss'),('Kinh Doanh','https://vnexpress.net/rss/kinh-doanh.rss'),('Công Nghệ','https://vnexpress.net/rss/so-hoa.rss'),('Thể Thao','https://vnexpress.net/rss/the-thao.rss'),('Giải Trí','https://vnexpress.net/rss/giai-tri.rss'),('Sức Khỏe','https://vnexpress.net/rss/suc-khoe.rss'),('Giáo Dục','https://vnexpress.net/rss/giao-duc.rss'),('Pháp Luật','https://vnexpress.net/rss/phap-luat.rss'),('Du Lịch','https://vnexpress.net/rss/du-lich.rss')]
-    arts=[]
-    try:
-        from concurrent.futures import ThreadPoolExecutor, as_completed
-        with ThreadPoolExecutor(max_workers=6) as ex:
-            futs=[ex.submit(_rss_articles_fast,u,g,'vne',6) for g,u in feeds]
-            for f in as_completed(futs,timeout=7):
-                try:arts.extend(f.result() or [])
-                except Exception:pass
-    except Exception:
-        for g,u in feeds[:5]:arts.extend(_rss_articles_fast(u,g,'vne',4))
-    if arts:_FAST_HOME_CACHE.update({'t':now,'d':arts})
-    return _FAST_HOME_CACHE['d'] or arts
-
-def _fast_dantri_hot():
-    now=time.time()
-    if _FAST_DT_CACHE['d'] and now-_FAST_DT_CACHE['t']<900:return _FAST_DT_CACHE['d']
-    data=_rss_articles_fast('https://dantri.com.vn/rss/home.rss','Tin Nổi Bật','dantri',12)
-    if data:_FAST_DT_CACHE.update({'t':now,'d':data})
-    return data
-
-def _fast_vnego():
-    now=time.time()
-    if _FAST_VNEGO_CACHE['d'] and now-_FAST_VNEGO_CACHE['t']<900:return _FAST_VNEGO_CACHE['d']
-    out=[]
-    try:
-        r=requests.get('https://vnexpress.net/vne-go',headers=UA,timeout=4);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'lxml');seen=set()
-        for a in soup.find_all('a',href=True):
-            href=a.get('href','');title=clean(a.get('title','') or a.get_text(' ',strip=True))
-            if not title or len(title)<8 or not href.startswith('http') or href in seen:continue
-            if '/vne-go' not in href and '/video/' not in href:continue
-            seen.add(href);img='';im=a.find('img') or (a.parent.find('img') if a.parent else None)
-            if im:img=im.get('data-src') or im.get('src','')
-            out.append({'title':title,'link':href,'img':img,'source':'vne-video'})
-            if len(out)>=10:break
-    except Exception:pass
-    _FAST_VNEGO_CACHE.update({'t':now,'d':out})
-    return out
-
-def _fast_highlights():
-    now=time.time()
-    if _FAST_HL_CACHE['d'] and now-_FAST_HL_CACHE['t']<900:return _FAST_HL_CACHE['d']
-    _FAST_HL_CACHE.update({'t':now,'d':[]})
-    return []
-
-for _p in ['/api/homepage','/api/dantri_hot','/api/vne_video','/api/highlights']:
-    app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)==_p and 'GET' in getattr(r,'methods',set()))]
-@app.get('/api/homepage')
-def api_homepage_fast():return JSONResponse(_fast_homepage())
-@app.get('/api/dantri_hot')
-def api_dantri_hot_fast():return JSONResponse(_fast_dantri_hot())
-@app.get('/api/vne_video')
-def api_vne_video_fast():return JSONResponse(_fast_vnego())
-@app.get('/api/highlights')
-def api_highlights_fast():return JSONResponse(_fast_highlights())
-
-FINAL6_FAST_HOME_INJECT = """
-<script>
-(function(){
-const oldFetch=window.fetch;
-window.__allowShortRefresh=false;
-window.fetch=function(url,opts){try{let u=String(url||'');if(u.includes('/api/shorts?refresh=1')&&!window.__allowShortRefresh)url='/api/shorts';}catch(e){}return oldFetch.call(this,url,opts)};
-setTimeout(()=>{window.__allowShortRefresh=true;},7000);
-})();
-</script>
-"""
-app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))]
-@app.get('/')
-async def index_final6_fast_home():
-    html=f5.f4.f3.f2.f1._load_index_html()
-    body=getattr(rt.old,'PATCH_INJECT','')+f5.f4.f3.f2.f1.FINAL_INJECT+f5.f4.f3.FINAL3_INJECT+f5.f4.FINAL4_INJECT+f5.FINAL5_INJECT+FINAL6_INJECT+FINAL6_FAST_HOME_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)
-
-
-# ===== FINAL6E: SHOW SOURCE CONTENTS IN TOPIC ARTICLE =====
-def _extract_source_details_from_context(context, sources):
-    details=[]
-    # Map source urls by title for URL/via enrichment
-    src_by_title={clean(s.get('title','')):s for s in (sources or [])}
-    for block in (context or '').split('---'):
-        block=block.strip()
-        if not block:continue
-        via='';title='';content=''
-        m=re.search(r'NGUỒN:\s*(.*)',block)
-        if m:via=clean(m.group(1))
-        m=re.search(r'TIÊU ĐỀ:\s*(.*)',block)
-        if m:title=clean(m.group(1))
-        if 'NỘI DUNG BÀI VIẾT ĐÃ CRAWL:' in block:
-            content=block.split('NỘI DUNG BÀI VIẾT ĐÃ CRAWL:',1)[1]
-        elif 'TÓM TẮT RSS:' in block:
-            content=block.split('TÓM TẮT RSS:',1)[1]
-        elif 'ĐOẠN MÔ TẢ' in block:
-            content=re.split(r'ĐOẠN MÔ TẢ[^:]*:',block,1)[-1]
-        content=clean(content)
-        if not title and not content:continue
-        s=src_by_title.get(title,{})
-        details.append({'title':title or s.get('title','Nguồn tham khảo'),'url':s.get('url',''),'via':via or s.get('via',''),'content':content[:1800]})
-        if len(details)>=8:break
-    return details
-
-# Remove prior topic endpoint and register one that stores source_details in post.
-app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)=='/api/topic_post' and 'POST' in getattr(r,'methods',set()))]
-
-@app.post('/api/topic_post')
-async def topic_post_with_source_contents(request:Request):
-    body=await request.json();topic=clean(body.get('topic',''))
-    if not topic:return JSONResponse({'error':'missing topic'},status_code=400)
-    img=_topic_image(topic)
-    research=_fast_context(topic) if '_fast_context' in globals() else _web_research_context(topic)
-    context=research.get('context','');sources=research.get('sources',[])
-    details=_extract_source_details_from_context(context,sources)
-    if not context or not details:
-        return JSONResponse({'error':'Không tìm/crawl được đủ nội dung về chủ đề này. Hãy thử chủ đề cụ thể hơn hoặc dùng hashtag gợi ý.'},status_code=422)
-    source_brief='\n\n'.join([f"[{i+1}] {d.get('title','')} ({d.get('via','')})\n{d.get('content','')[:1400]}" for i,d in enumerate(details)])
-    prompt=f"""Bạn là biên tập viên VNEWS. Hãy viết MỘT BÀI VIẾT HOÀN CHỈNH bằng tiếng Việt về chủ đề: {topic}
-
-Dưới đây là nội dung từng nguồn đã thu thập. Hãy tổng hợp ý chính, không sao chép nguyên văn, không biến các tiêu đề thành danh sách.
-
-NỘI DUNG NGUỒN:
-{source_brief[:18000]}
-
-Yêu cầu:
-- Tiêu đề mới, rõ, hấp dẫn.
-- Sapo 2-3 câu.
-- 5-8 đoạn phân tích/bối cảnh/tác động/điểm cần lưu ý.
-- Không dùng câu "Dưới đây là" hoặc "Tôi sẽ".
-- Cuối bài có mục "Nguồn tham khảo" nêu tên nguồn.
-"""
-    text=None
-    try:
-        import asyncio
-        text=await asyncio.wait_for(f5.base.qwen_generate(prompt,image_url=img,max_tokens=1700),timeout=35)
-    except Exception:
-        text=None
-    if not text or len(text)<350:
-        bullets='\n'.join([f"• {d['title']}: {d.get('content','')[:320]}" for d in details[:6]])
-        vias=', '.join(sorted({d.get('via','') for d in details if d.get('via')}))
-        text=(f"{topic}: tổng hợp những điểm đáng chú ý\n\n"
-              f"{topic} đang được nhiều nguồn tin đề cập với các góc nhìn khác nhau. Dưới đây là phần tổng hợp nhanh từ những nội dung đã thu thập được.\n\n"
-              f"{bullets}\n\n"
-              f"Nhìn chung, chủ đề này cần được theo dõi thêm ở các khía cạnh: bối cảnh, tác động thực tế, phản ứng của các bên liên quan và các diễn biến mới trong thời gian tới.\n\n"
-              f"Nguồn tham khảo: {vias}")
-    post=f5.base.make_post(topic,text,img,'','topic_fast_rss_with_sources',sources=[s for s in sources if s.get('url')])
-    post['images']=[img]
-    post['source_details']=details
-    posts=f5.base._load_ai_wall();posts.insert(0,post);f5.base._save_ai_wall(posts)
-    return JSONResponse({'post':post,'mode':'fast_rss_with_source_details','sources_count':len(details)})
-
-FINAL6E_INJECT = """
-<style>
-.source-detail-box{margin-top:14px;background:#151515;border:1px solid #2b2b2b;border-radius:10px;padding:10px}.source-detail-box h3{font-size:14px;color:#5cb87a;margin-bottom:8px}.source-detail-item{background:#202020;border-radius:8px;padding:9px;margin:7px 0}.source-detail-title{font-size:12px;font-weight:700;color:#eee;line-height:1.35}.source-detail-meta{font-size:10px;color:#888;margin:3px 0}.source-detail-content{font-size:12px;color:#bbb;line-height:1.5;white-space:pre-wrap;max-height:220px;overflow:auto}.source-detail-item a{color:#5cb87a;font-size:11px;text-decoration:none}
-</style>
-<script>
-(function(){
-function escE(s){return String(s||'').replace(/[&<>\"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','\"':'&quot;',"'":'&#39;'}[m]));}
-window.__topicWallE=[];
-function sourceDetailsHtml(p){let arr=p.source_details||[];if(!arr.length)return '';let h='<div class="source-detail-box"><h3>📚 Nội dung từng nguồn đã dùng</h3>';arr.forEach((s,i)=>{h+=`<div class="source-detail-item"><div class="source-detail-title">${i+1}. ${escE(s.title)}</div><div class="source-detail-meta">${escE(s.via||'Nguồn')}</div><div class="source-detail-content">${escE(s.content||'')}</div>${s.url?`<a href="${escE(s.url)}" target="_blank">Mở nguồn gốc</a>`:''}</div>`});h+='</div>';return h;}
-function renderTopicWallE(){let home=document.getElementById('view-home');if(!home||!window.__topicWallE.length)return;document.getElementById('ai-wall-topic-live')?.remove();let wrap=document.createElement('div');wrap.id='ai-wall-topic-live';wrap.className='ai-wall-topic-live';let h='<div class="slider-header"><span class="slider-label">🧱 Tường AI mới</span><span class="slider-note">Có nội dung nguồn</span></div><div class="slider-track">';window.__topicWallE.slice(0,20).forEach((p,i)=>{h+=`<div class="wall-item"><div class="wall-thumb">${p.img?`<img src="${escE(p.img)}">`:''}</div><div class="wall-title">${escE(p.title)}</div><div class="wall-text">${escE(p.text)}</div><div class="wall-actions"><button class="primary" onclick="readTopicWallE(${i})">Xem</button></div></div>`});h+='</div>';wrap.innerHTML=h;let comp=document.querySelector('.ai-compose');if(comp)comp.after(wrap);else home.prepend(wrap);}
-window.readTopicWallE=function(i){let p=window.__topicWallE[i];if(!p)return;showView('view-article');let imgs=(p.images||[]).filter(Boolean);let gal=imgs.length?'<div class="ai-wall-gallery">'+imgs.slice(0,12).map(u=>`<img src="${escE(u)}" loading="lazy">`).join('')+'</div>':(p.img?`<img class="article-img" src="${escE(p.img)}">`:'');document.getElementById('view-article').innerHTML=`<button class="back-btn" onclick="switchCat('home')">← Quay lại</button><div class="article-view"><span class="badge badge-ai">AI</span><h1 class="article-title">${escE(p.title)}</h1>${gal}<p class="article-p" style="white-space:pre-wrap">${escE(p.text)}</p>${sourceDetailsHtml(p)}<div class="article-actions"><button onclick="shareAI?shareAI(${JSON.stringify(p).replace(/\"/g,'&quot;')},false):navigator.clipboard.writeText(location.href)">📤 Chia sẻ</button></div></div>`;window.scrollTo(0,0)};
-window.createTopicPostFinal5=async function(){let inp=document.getElementById('ai-topic-input-final5');let topic=(inp&&inp.value||'').trim();if(!topic)return alert('Nhập chủ đề trước');let btn=document.getElementById('ai-topic-btn-final5');if(btn){btn.disabled=true;btn.textContent='Đang lấy nguồn...'}try{let src=await fetch('/api/topic_sources?topic='+encodeURIComponent(topic)).then(r=>r.json()).catch(()=>null);if(btn&&src)btn.textContent='Đã tìm '+(src.count||0)+' nguồn, đang viết...';let r=await fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})});let j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');window.__topicWallE.unshift(j.post);if(inp)inp.value='';renderTopicWallE();readTopicWallE(0);}catch(e){alert(e.message)}finally{if(btn){btn.disabled=false;btn.textContent='✨ Tạo bài tổng hợp từ web bằng Qwen'}}};
-})();
-</script>
-"""
-
-# Override root one last time to append source-details UI.
-app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))]
-@app.get('/')
-async def index_final6_source_details():
-    html=f5.f4.f3.f2.f1._load_index_html()
-    body=getattr(rt.old,'PATCH_INJECT','')+f5.f4.f3.f2.f1.FINAL_INJECT+f5.f4.f3.FINAL3_INJECT+f5.f4.FINAL4_INJECT+f5.FINAL5_INJECT+FINAL6_INJECT+globals().get('FINAL6_FAST_HOME_INJECT','')+FINAL6E_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)
-
-
-# ===== FINAL6F: CLEAN TOPIC OUTPUT + IN-APP SOURCE READER =====
-def _clean_generated_article(text, topic=''):
-    """Remove prompt/instruction leakage from generated topic articles."""
-    text=str(text or '').strip()
-    bad_patterns=[
-        r'^\s*[•\-]*\s*Hãy viết .*',
-        r'^\s*[•\-]*\s*Dưới đây là .*',
-        r'^\s*[•\-]*\s*Dữ liệu .*',
-        r'^\s*[•\-]*\s*NỘI DUNG NGUỒN.*',
-        r'^\s*[•\-]*\s*Yêu cầu\s*:.*',
-        r'^\s*[•\-]*\s*Tiêu đề mới.*',
-        r'^\s*[•\-]*\s*Sapo\s*2.*',
-        r'^\s*[•\-]*\s*5\s*[-–]\s*8\s*đoạn.*',
-        r'^\s*[•\-]*\s*Không dùng câu.*',
-        r'^\s*[•\-]*\s*Cuối bài.*',
-        r'^\s*[•\-]*\s*Không liệt kê.*',
-        r'^\s*[•\-]*\s*Tổng hợp thành.*',
-        r'^\s*[•\-]*\s*Diễn đạt lại.*',
-        r'^\s*[•\-]*\s*Tuyệt đối.*',
-    ]
-    out=[]
-    for ln in text.splitlines():
-        s=ln.strip()
-        if not s:
-            out.append(ln);continue
-        if any(re.search(p,s,re.I) for p in bad_patterns):
-            continue
-        out.append(ln)
-    cleaned='\n'.join(out).strip()
-    # If model returned a markdown code/prompt-like block, keep content after first plausible title line.
-    cleaned=re.sub(r'^(?:Bài viết|Nội dung bài viết)\s*[:：]\s*','',cleaned,flags=re.I).strip()
-    # Remove duplicated leading topic instruction if it appears inline.
-    cleaned=re.sub(r'Hãy viết MỘT BÀI VIẾT HOÀN CHỈNH[^\n\.]*[\.\n]*','',cleaned,flags=re.I).strip()
-    return cleaned or text
-
-def _source_article_data(url):
-    try:
-        r=requests.get(url,headers=UA,timeout=14);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'lxml')
-        h1=soup.find('h1')
-        ogt=soup.find('meta',property='og:title')
-        ogd=soup.find('meta',property='og:description')
-        ogi=soup.find('meta',property='og:image')
-        title=clean(h1.get_text(' ',strip=True) if h1 else (ogt.get('content','') if ogt else ''))
-        summary=clean(ogd.get('content','') if ogd else '')
-        img=ogi.get('content','') if ogi else ''
-    except Exception:
-        title='';summary='';img=''
-    text=_scrape_article_text(url,12000)
-    body=[]
-    for para in re.split(r'\n+',text or ''):
-        para=clean(para)
-        if len(para)>35:
-            body.append({'type':'p','text':para})
-        if len(body)>=80:break
-    if not title:title=url
-    if not body and summary:body=[{'type':'p','text':summary}]
-    return {'title':title,'summary':summary,'og_image':img,'body':body,'source':'topic-source','url':url}
-
-@app.get('/api/topic_source_article')
-def api_topic_source_article(url:str=Query(...)):
-    if not url.startswith('http'):
-        return JSONResponse({'error':'bad url'},status_code=400)
-    return JSONResponse(_source_article_data(url))
-
-# Override topic generation one last time with output cleaning and source details.
-app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)=='/api/topic_post' and 'POST' in getattr(r,'methods',set()))]
-
-@app.post('/api/topic_post')
-async def topic_post_clean_final(request:Request):
-    body=await request.json();topic=clean(body.get('topic',''))
-    if not topic:return JSONResponse({'error':'missing topic'},status_code=400)
-    img=_topic_image(topic)
-    research=_fast_context(topic) if '_fast_context' in globals() else _web_research_context(topic)
-    context=research.get('context','');sources=research.get('sources',[])
-    details=_extract_source_details_from_context(context,sources) if '_extract_source_details_from_context' in globals() else []
-    if not details:
-        # Build details directly from sources/snippets if helper unavailable or empty.
-        for s in sources[:8]:
-            details.append({'title':s.get('title',''),'url':s.get('url',''),'via':s.get('via',''),'content':s.get('excerpt','') or s.get('snippet','') or ''})
-    if not context and not details:
-        return JSONResponse({'error':'Không tìm/crawl được đủ nội dung về chủ đề này. Hãy thử chủ đề cụ thể hơn hoặc dùng hashtag gợi ý.'},status_code=422)
-    source_brief='\n\n'.join([f"[{i+1}] {d.get('title','')} ({d.get('via','')})\n{d.get('content','')[:1400]}" for i,d in enumerate(details[:8])])
-    prompt=f"""Vai trò: biên tập viên VNEWS.
-Nhiệm vụ: viết một bài báo tiếng Việt hoàn chỉnh về chủ đề "{topic}" dựa trên các nguồn bên dưới.
-
-Nguồn thu thập:
-{source_brief[:18000]}
-
-Quy tắc biên tập:
-1. Chỉ xuất bản bài viết cuối cùng, không nhắc lại yêu cầu, không liệt kê chỉ dẫn.
-2. Không sao chép nguyên văn; hãy tổng hợp và diễn đạt lại.
-3. Bài có tiêu đề, sapo, các đoạn phân tích/bối cảnh/tác động, và mục Nguồn tham khảo ngắn.
-4. Không dùng các câu như "Dưới đây là", "Tôi sẽ", "Yêu cầu".
-"""
-    text=None
-    try:
-        import asyncio
-        text=await asyncio.wait_for(f5.base.qwen_generate(prompt,image_url=img,max_tokens=1700),timeout=35)
-    except Exception:
-        text=None
-    if not text or len(text)<350:
-        bullets='\n'.join([f"• {d.get('title','')}: {d.get('content','')[:320]}" for d in details[:6]])
-        vias=', '.join(sorted({d.get('via','') for d in details if d.get('via')}))
-        text=(f"{topic}: tổng hợp những điểm đáng chú ý\n\n"
-              f"{topic} đang được nhiều nguồn tin đề cập với các góc nhìn khác nhau. Dựa trên nội dung đã thu thập, có thể rút ra một số điểm chính để người đọc nắm nhanh bối cảnh.\n\n"
-              f"{bullets}\n\n"
-              f"Nhìn chung, chủ đề này cần được theo dõi thêm ở các khía cạnh: bối cảnh, tác động thực tế, phản ứng của các bên liên quan và các diễn biến mới trong thời gian tới.\n\n"
-              f"Nguồn tham khảo: {vias}")
-    text=_clean_generated_article(text,topic)
-    post=f5.base.make_post(topic,text,img,'','topic_clean_with_sources',sources=[s for s in sources if s.get('url')])
-    post['images']=[img]
-    post['source_details']=details[:8]
-    posts=f5.base._load_ai_wall();posts.insert(0,post);f5.base._save_ai_wall(posts)
-    return JSONResponse({'post':post,'mode':'clean_with_source_details','sources_count':len(details)})
-
-FINAL6F_INJECT = """
-<script>
-(function(){
-function escF(s){return String(s||'').replace(/[&<>\\"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','\\"':'&quot;',"'":'&#39;'}[m]));}
-window.readTopicSourceE=async function(url){
-  showView('view-article');
-  const el=document.getElementById('view-article');
-  el.innerHTML='<div class="loading">Đang tải nguồn...</div>';
-  try{
-    let data=await fetch('/api/topic_source_article?url='+encodeURIComponent(url)).then(r=>r.json());
-    if(!data||data.error||!data.body||!data.body.length){throw new Error('Không đọc được nguồn')}
-    let h=`<button class="back-btn" onclick="switchCat('home')">← Quay lại</button><div class="article-view"><h1 class="article-title">${escF(data.title)}</h1>`;
-    if(data.summary)h+=`<div class="article-summary">${escF(data.summary)}</div>`;
-    if(data.og_image)h+=`<img class="article-img" src="${escF(data.og_image)}">`;
-    data.body.forEach(b=>{if(b.type==='p')h+=`<p class="article-p">${escF(b.text)}</p>`;else if(b.type==='heading')h+=`<h2 class="article-h2">${escF(b.text)}</h2>`;});
-    h+=`<div class="article-actions"><button onclick="window.open('${escF(url)}','_blank')">🔗 Mở gốc</button></div></div>`;
-    el.innerHTML=h;window.scrollTo(0,0);
-  }catch(e){el.innerHTML=`<button class="back-btn" onclick="switchCat('home')">← Quay lại</button><div class="loading">Không đọc được nguồn.<br><a href="${escF(url)}" target="_blank" style="color:#5cb87a">Mở link gốc</a></div>`}
-};
-// Upgrade existing source detail boxes: replace external open behavior by in-app button.
-function enhanceSourceButtons(){document.querySelectorAll('.source-detail-item a[href]').forEach(a=>{let u=a.getAttribute('href');if(!u||a.dataset.vnews)return;a.dataset.vnews='1';a.textContent='Xem trực tiếp trên VNEWS';a.setAttribute('href','javascript:void(0)');a.onclick=function(){readTopicSourceE(u);return false;};});}
-setInterval(enhanceSourceButtons,1000);setTimeout(enhanceSourceButtons,500);
-})();
-</script>
-"""
-
-app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))]
-@app.get('/')
-async def index_final6_clean_links():
-    html=f5.f4.f3.f2.f1._load_index_html()
-    body=getattr(rt.old,'PATCH_INJECT','')+f5.f4.f3.f2.f1.FINAL_INJECT+f5.f4.f3.FINAL3_INJECT+f5.f4.FINAL4_INJECT+f5.FINAL5_INJECT+FINAL6_INJECT+globals().get('FINAL6_FAST_HOME_INJECT','')+globals().get('FINAL6E_INJECT','')+FINAL6F_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)
-
-
-# ===== FINAL6G: SELECTED FAST SOURCES =====
-# Restrict hot hashtags + topic articles to the requested sources only:
-# Thethaovanhoa, Dantri, VTV, VnExpress, Vatvostudio, GenK, VNReview.
-SELECTED_SOURCE_FEEDS=[
-    ('VnExpress','https://vnexpress.net/rss/tin-moi-nhat.rss'),
-    ('VnExpress Thời sự','https://vnexpress.net/rss/thoi-su.rss'),
-    ('VnExpress Thế giới','https://vnexpress.net/rss/the-gioi.rss'),
-    ('VnExpress Kinh doanh','https://vnexpress.net/rss/kinh-doanh.rss'),
-    ('VnExpress Công nghệ','https://vnexpress.net/rss/so-hoa.rss'),
-    ('VnExpress Thể thao','https://vnexpress.net/rss/the-thao.rss'),
-    ('Dân trí','https://dantri.com.vn/rss/home.rss'),
-    ('Dân trí Xã hội','https://dantri.com.vn/rss/xa-hoi.rss'),
-    ('Dân trí Kinh doanh','https://dantri.com.vn/rss/kinh-doanh.rss'),
-    ('Dân trí Thể thao','https://dantri.com.vn/rss/the-thao.rss'),
-    ('Dân trí Công nghệ','https://dantri.com.vn/rss/suc-manh-so.rss'),
-    ('VTV','https://vtv.vn/rss/trang-chu.rss'),
-    ('VTV Thời sự','https://vtv.vn/rss/thoi-su.rss'),
-    ('VTV Công nghệ','https://vtv.vn/rss/cong-nghe.rss'),
-    ('Thể thao văn hóa','https://thethaovanhoa.vn/rss/home.rss'),
-    ('Thể thao văn hóa Bóng đá','https://thethaovanhoa.vn/rss/bong-da.rss'),
-    ('GenK','https://genk.vn/home.rss'),
-    ('GenK AI','https://genk.vn/ai.rss'),
-    ('VNReview','https://vnreview.vn/rss/home.rss'),
-    ('VNReview Công nghệ','https://vnreview.vn/rss/cong-nghe.rss'),
-]
-SELECTED_HOMEPAGES=[
-    ('VTV','https://vtv.vn/'),
-    ('Thể thao văn hóa','https://thethaovanhoa.vn/'),
-    ('GenK','https://genk.vn/'),
-    ('VNReview','https://vnreview.vn/'),
-    ('Vatvostudio','https://vatvostudio.vn/'),
-]
-SELECTED_DOMAINS=['vnexpress.net','dantri.com.vn','vtv.vn','thethaovanhoa.vn','genk.vn','vnreview.vn','vatvostudio.vn']
-
-def _selected_fetch_rss(feed_name, feed_url, max_items=10):
-    items=[]
-    try:
-        r=requests.get(feed_url,headers=UA,timeout=4);r.encoding='utf-8'
-        if r.status_code>=400:return []
-        soup=BeautifulSoup(r.text,'xml')
-        for it in soup.find_all('item')[:max_items]:
-            title=clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-            link=clean(it.find('link').get_text(strip=True) if it.find('link') else '')
-            desc_raw=it.find('description').get_text(' ',strip=True) if it.find('description') else ''
-            ds=BeautifulSoup(desc_raw,'lxml')
-            desc=clean(ds.get_text(' ',strip=True))
-            if title and link:
-                items.append({'title':title,'url':link,'source':feed_name,'snippet':desc})
-    except Exception:pass
-    return items
-
-def _selected_scrape_homepage(name, url, max_items=10):
-    items=[];seen=set()
-    try:
-        r=requests.get(url,headers=UA,timeout=4);r.encoding='utf-8'
-        if r.status_code>=400:return []
-        soup=BeautifulSoup(r.text,'lxml')
-        base=url.rstrip('/')
-        for a in soup.find_all('a',href=True):
-            href=a.get('href','').strip();title=clean(a.get('title','') or a.get_text(' ',strip=True))
-            if not href or not title or len(title)<18:continue
-            if href.startswith('/'):
-                p=urlparse(url); href=f'{p.scheme}://{p.netloc}{href}'
-            if not href.startswith('http') or href in seen:continue
-            dom=_domain(href)
-            if not any(d in dom for d in SELECTED_DOMAINS):continue
-            if any(x in href.lower() for x in ['#','javascript:','facebook','youtube','tiktok']):continue
-            seen.add(href)
-            items.append({'title':title,'url':href,'source':name,'snippet':''})
-            if len(items)>=max_items:break
-    except Exception:pass
-    return items
-
-def _fast_rss_pool():
-    now=time.time();key='selected_fast_pool'
-    if key in _FAST_TOPIC_CACHE and now-_FAST_TOPIC_CACHE[key]['t']<600:return _FAST_TOPIC_CACHE[key]['d']
-    pool=[];seen=set()
-    # RSS first: fast and reliable.
-    for name,url in SELECTED_SOURCE_FEEDS:
-        for it in _selected_fetch_rss(name,url,10):
-            if it['url'] not in seen:
-                seen.add(it['url']);pool.append(it)
-    # Homepage fallback for sources with weak/no RSS, especially Vatvostudio.
-    for name,url in SELECTED_HOMEPAGES:
-        for it in _selected_scrape_homepage(name,url,10):
-            if it['url'] not in seen:
-                seen.add(it['url']);pool.append(it)
-    _FAST_TOPIC_CACHE[key]={'t':now,'d':pool}
-    return pool
-
-def _hot_topics():
-    now=time.time()
-    if _HOT_CACHE['d'] and now-_HOT_CACHE['t']<600:return _HOT_CACHE['d']
-    pool=_fast_rss_pool()
-    freq={};display={}
-    for it in pool[:220]:
-        title=re.sub(r'\s+-\s+.*$','',it.get('title',''))
-        kws=[]
-        for m in re.findall(r'([A-ZĐÀ-Ỹ][A-Za-zÀ-ỹ0-9]+(?:\s+[A-ZĐÀ-ỸA-Za-zÀ-ỹ0-9][A-Za-zÀ-ỹ0-9]+){1,4})',title):
-            if len(m)>=6:kws.append(m)
-        kws+=_keywords_from_title(title)
-        for kw in kws[:5]:
-            words=[w for w in clean(kw).split() if w.lower() not in STOP_WORDS]
-            if len(words)<2:continue
-            kw=' '.join(words[:5])
-            if len(kw)<6 or len(kw)>55:continue
-            key=kw.lower();freq[key]=freq.get(key,0)+1;display[key]=kw
-    topics=[];seen=set()
-    for key,_ in sorted(freq.items(),key=lambda x:x[1],reverse=True):
-        kw=display[key]
-        if key in seen:continue
-        seen.add(key);topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw})
-        if len(topics)>=24:break
-    for kw in ['AI tại Việt Nam','Công nghệ Việt Nam','VTV thời sự','VnExpress kinh doanh','Dân trí xã hội','GenK AI','VNReview công nghệ','Vatvostudio smartphone','Thể thao văn hóa World Cup']:
-        if kw.lower() not in seen:topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw})
-    _HOT_CACHE.update({'t':now,'d':topics[:24]})
-    return _HOT_CACHE['d']
-
-def _candidate_urls(topic):
-    seen=set();items=[]
-    scored=[]
-    for it in _fast_rss_pool():
-        sc=_fast_score(topic,it)
-        if sc>0:scored.append((sc,it))
-    for sc,it in sorted(scored,key=lambda x:(x[0],len(x[1].get('snippet',''))),reverse=True)[:14]:
-        if it['url'] not in seen:
-            seen.add(it['url']);items.append(it)
-    # Search only selected sources when RSS lacks matches.
-    if len(items)<6:
-        for dom in SELECTED_DOMAINS:
-            for it in _ddg_search(f'{topic} site:{dom}',4):
-                if it['url'] not in seen:
-                    seen.add(it['url']);items.append(it)
-            if len(items)>=12:break
-    return items[:20]
-
-
-# ===== FINAL6G: SOURCE-LIMITED FAST TOPICS AND FAST HOME =====
-# Limit hot hashtags/topic context to requested sources and make homepage APIs return quickly.
-_SOURCE_FEEDS = [
-    ('VnExpress','https://vnexpress.net/rss/tin-moi-nhat.rss','vnexpress.net'),
-    ('VnExpress Thời sự','https://vnexpress.net/rss/thoi-su.rss','vnexpress.net'),
-    ('VnExpress Thế giới','https://vnexpress.net/rss/the-gioi.rss','vnexpress.net'),
-    ('VnExpress Kinh doanh','https://vnexpress.net/rss/kinh-doanh.rss','vnexpress.net'),
-    ('VnExpress Công nghệ','https://vnexpress.net/rss/so-hoa.rss','vnexpress.net'),
-    ('VnExpress Thể thao','https://vnexpress.net/rss/the-thao.rss','vnexpress.net'),
-    ('Dân trí','https://dantri.com.vn/rss/home.rss','dantri.com.vn'),
-    ('Dân trí Xã hội','https://dantri.com.vn/rss/xa-hoi.rss','dantri.com.vn'),
-    ('Dân trí Kinh doanh','https://dantri.com.vn/rss/kinh-doanh.rss','dantri.com.vn'),
-    ('Dân trí Thể thao','https://dantri.com.vn/rss/the-thao.rss','dantri.com.vn'),
-    ('Dân trí Công nghệ','https://dantri.com.vn/rss/suc-manh-so.rss','dantri.com.vn'),
-    ('VTV','https://vtv.vn/rss/trang-chu.rss','vtv.vn'),
-    ('VTV Thời sự','https://vtv.vn/rss/thoi-su.rss','vtv.vn'),
-    ('GenK','https://genk.vn/rss/home.rss','genk.vn'),
-    ('GenK AI','https://genk.vn/ai.rss','genk.vn'),
-    ('VnReview','https://vnreview.vn/rss/tin-moi-nhat.rss','vnreview.vn'),
-    ('VnReview Công nghệ','https://vnreview.vn/rss/cong-nghe.rss','vnreview.vn'),
-    ('Vật Vờ Studio','https://vatvostudio.vn/feed/','vatvostudio.vn'),
-    ('Thể thao văn hóa','https://thethaovanhoa.vn/rss/home.rss','thethaovanhoa.vn'),
-    ('Thể thao văn hóa World Cup','https://thethaovanhoa.vn/rss/world-cup-2026.rss','thethaovanhoa.vn'),
-]
-_SOURCE_CACHE={'t':0,'items':[]}
-_FAST_ROUTE_CACHE={}
-
-def _feed_items_source_limited(max_per_feed=10):
-    now=time.time()
-    if _SOURCE_CACHE['items'] and now-_SOURCE_CACHE['t']<600:return _SOURCE_CACHE['items']
-    items=[];seen=set()
-    def one(feed):
-        name,url,dom=feed;out=[]
-        try:
-            r=requests.get(url,headers=UA,timeout=3.5);r.encoding='utf-8'
-            soup=BeautifulSoup(r.text,'xml')
-            for it in soup.find_all('item')[:max_per_feed*2]:
-                title=clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-                link=clean(it.find('link').get_text(strip=True) if it.find('link') else '')
-                desc_raw=it.find('description').get_text(' ',strip=True) if it.find('description') else ''
-                ds=BeautifulSoup(desc_raw,'lxml')
-                img='';im=ds.find('img')
-                if im:img=im.get('src','') or im.get('data-src','')
-                desc=clean(ds.get_text(' ',strip=True))[:700]
-                if title and link:
-                    out.append({'title':title,'url':link,'link':link,'source':name,'via':name,'domain':dom,'snippet':desc,'img':img})
-                if len(out)>=max_per_feed:break
-        except Exception:pass
-        return out
-    try:
-        from concurrent.futures import ThreadPoolExecutor, as_completed
-        with ThreadPoolExecutor(max_workers=8) as ex:
-            futs=[ex.submit(one,f) for f in _SOURCE_FEEDS]
-            for f in as_completed(futs,timeout=5.5):
-                try:
-                    for it in f.result() or []:
-                        if it['url'] not in seen:
-                            seen.add(it['url']);items.append(it)
-                except Exception:pass
-    except Exception:
-        for f in _SOURCE_FEEDS[:8]:
-            for it in one(f):
-                if it['url'] not in seen:
-                    seen.add(it['url']);items.append(it)
-    _SOURCE_CACHE.update({'t':now,'items':items})
-    return items
-
-def _score_topic_source(topic,it):
-    toks=[w.lower() for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+',topic or '') if len(w)>1 and w.lower() not in STOP_WORDS]
-    hay=(it.get('title','')+' '+it.get('snippet','')+' '+it.get('source','')).lower()
-    if not toks:return 0
-    score=sum((3 if len(t)>3 else 1) for t in toks if t in hay)
-    if topic.lower().strip() and topic.lower().strip() in hay:score+=12
-    return score
-
-def _hot_topics():
-    now=time.time()
-    if _HOT_CACHE['d'] and now-_HOT_CACHE['t']<600:return _HOT_CACHE['d']
-    freq={};display={}
-    for it in _feed_items_source_limited(8)[:180]:
-        title=re.sub(r'\s+-\s+.*$','',it.get('title',''))
-        kws=[]
-        for m in re.findall(r'([A-ZĐÀ-Ỹ][A-Za-zÀ-ỹ0-9]+(?:\s+[A-ZĐÀ-ỸA-Za-zÀ-ỹ0-9][A-Za-zÀ-ỹ0-9]+){1,4})',title):
-            if len(m)>=6:kws.append(m)
-        kws += _keywords_from_title(title)
-        for kw in kws[:4]:
-            words=[w for w in clean(kw).split() if w.lower() not in STOP_WORDS]
-            if len(words)<2:continue
-            kw=' '.join(words[:5])
-            if 6<=len(kw)<=55:
-                key=kw.lower();freq[key]=freq.get(key,0)+1;display[key]=kw
-    topics=[]
-    for key,_ in sorted(freq.items(),key=lambda x:x[1],reverse=True):
-        kw=display[key];topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw})
-        if len(topics)>=24:break
-    for kw in ['Giá vàng trong nước','AI tại Việt Nam','Bóng đá Việt Nam','Kinh tế Việt Nam','Công nghệ AI','Vật Vờ Studio','World Cup 2026','Sức khỏe cộng đồng']:
-        if not any(t['topic'].lower()==kw.lower() for t in topics):topics.append({'label':'#'+re.sub(r'\s+','',kw.title()),'topic':kw})
-    _HOT_CACHE.update({'t':now,'d':topics[:24]})
-    return _HOT_CACHE['d']
-
-def _fast_context(topic):
-    now=time.time();key='source_limited_ctx:'+topic.lower().strip()
-    if key in _FAST_TOPIC_CACHE and now-_FAST_TOPIC_CACHE[key]['t']<600:return _FAST_TOPIC_CACHE[key]['d']
-    pool=_feed_items_source_limited(12)
-    scored=[]
-    for it in pool:
-        sc=_score_topic_source(topic,it)
-        if sc>0:scored.append((sc,it))
-    if not scored:
-        # Try broader matching by first token only before giving up.
-        first=(_fast_topic_tokens(topic) or [''])[0]
-        if first:
-            for it in pool:
-                if first in (it.get('title','')+' '+it.get('snippet','')).lower():scored.append((1,it))
-    picked=[it for sc,it in sorted(scored,key=lambda x:(x[0],len(x[1].get('snippet',''))),reverse=True)[:8]]
-    if not picked:picked=pool[:6]
-    blocks=[];src=[]
-    for it in picked:
-        content=it.get('snippet','') or it.get('title','')
-        blocks.append(f"NGUỒN: {it.get('source','')}\nTIÊU ĐỀ: {it.get('title','')}\nTÓM TẮT RSS:\n{content}")
-        src.append({'title':it.get('title',''),'url':it.get('url',''),'via':it.get('source',''),'snippet':content})
-    data={'context':'\n\n---\n\n'.join(blocks),'sources':src,'count':len(blocks)}
-    _FAST_TOPIC_CACHE[key]={'t':now,'d':data}
-    return data
-
-# Override slow search functions to never crawl open web during topic generation.
-def _web_research_context(topic):
-    return _fast_context(topic)
-
-def _candidate_urls(topic):
-    return _fast_context(topic).get('sources',[])
-
-# Fast homepage endpoints from requested source RSS; no slow HTML scrapers.
-def _fast_homepage_sources():
-    now=time.time();key='home_sources'
-    if key in _FAST_ROUTE_CACHE and now-_FAST_ROUTE_CACHE[key]['t']<600:return _FAST_ROUTE_CACHE[key]['d']
-    groups=[];seen=set()
-    group_map=[('Tin mới','https://vnexpress.net/rss/tin-moi-nhat.rss','vne'),('Thời Sự','https://vnexpress.net/rss/thoi-su.rss','vne'),('Kinh Doanh','https://vnexpress.net/rss/kinh-doanh.rss','vne'),('Công Nghệ','https://vnexpress.net/rss/so-hoa.rss','vne'),('Dân Trí','https://dantri.com.vn/rss/home.rss','dantri'),('GenK','https://genk.vn/rss/home.rss','genk'),('VnReview','https://vnreview.vn/rss/tin-moi-nhat.rss','vnreview')]
-    for g,u,s in group_map:
-        for it in _rss_articles_fast(u,g,s,6) if '_rss_articles_fast' in globals() else []:
-            if it['link'] not in seen:
-                seen.add(it['link']);groups.append(it)
-    _FAST_ROUTE_CACHE[key]={'t':now,'d':groups}
-    return groups
-
-for _p in ['/api/homepage','/api/dantri_hot','/api/vne_video','/api/highlights','/api/hot_topics','/api/topic_sources']:
-    app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)==_p and 'GET' in getattr(r,'methods',set()))]
-@app.get('/api/homepage')
-def api_homepage_source_fast():return JSONResponse(_fast_homepage_sources())
-@app.get('/api/dantri_hot')
-def api_dantri_hot_source_fast():
-    data=[{**it,'source':'dantri','link':it.get('url') or it.get('link')} for it in _feed_items_source_limited(8) if it.get('domain')=='dantri.com.vn'][:12]
-    return JSONResponse(data)
-@app.get('/api/vne_video')
-def api_vne_video_source_fast():
-    return JSONResponse([])  # do not block homepage if VnEgo is slow
-@app.get('/api/highlights')
-def api_highlights_source_fast():return JSONResponse([])
-@app.get('/api/hot_topics')
-def api_hot_topics_source_fast():return JSONResponse({'topics':_hot_topics(),'sources':'vn_only'})
-@app.get('/api/topic_sources')
-def api_topic_sources_source_fast(topic:str=Query(...)):
-    data=_fast_context(clean(topic));return JSONResponse({'count':data.get('count',0),'sources':data.get('sources',[]),'has_context':bool(data.get('context')),'mode':'source_limited_rss'})
-
-# Override root: include all existing UI but add a script that prevents forced shorts refresh on initial load.
-ROOT_FAST_INJECT="""
-<script>
-(function(){
-const oldFetch=window.fetch;window.__allowShortRefresh=false;
-window.fetch=function(url,opts){try{let u=String(url||'');if(u.includes('/api/shorts?refresh=1')&&!window.__allowShortRefresh)url='/api/shorts';}catch(e){}return oldFetch.call(this,url,opts)};
-setTimeout(()=>{window.__allowShortRefresh=true;},8000);
-})();
-</script>
-"""
-app.router.routes=[r for r in app.router.routes if not (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))]
-@app.get('/')
-async def index_final_fast_sources():
-    html=f5.f4.f3.f2.f1._load_index_html()
-    body=getattr(rt.old,'PATCH_INJECT','')+f5.f4.f3.f2.f1.FINAL_INJECT+f5.f4.f3.FINAL3_INJECT+f5.f4.FINAL4_INJECT+f5.FINAL5_INJECT+FINAL6_INJECT+globals().get('FINAL6_FAST_HOME_INJECT','')+globals().get('FINAL6E_INJECT','')+globals().get('FINAL6F_INJECT','')+ROOT_FAST_INJECT
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)

app_clean.py

@@ -1,69 +0,0 @@
-"""
-VNEWS Clean Backend - serves static/index_v2.html directly.
-No injection layers. All APIs from existing modules preserved.
-Comments feature REMOVED per user request.
-"""
-import sys, os
-
-# Import the full chain which registers all API endpoints on the FastAPI app
-from app_main import app, _search_all, _clean
-
-# Now override the root '/' to serve our clean frontend
-from fastapi import Query, Request
-from fastapi.responses import HTMLResponse, FileResponse, JSONResponse
-from fastapi.staticfiles import StaticFiles
-import os
-
-# Remove old '/' route
-app.router.routes = [r for r in app.router.routes if not (
-    getattr(r, 'path', None) == '/' and 'GET' in getattr(r, 'methods', set())
-)]
-
-# Remove comment endpoints (user requested removal)
-app.router.routes = [r for r in app.router.routes if not (
-    getattr(r, 'path', None) in ('/api/short/comments', '/api/short/comment') 
-)]
-
-# Mount static files
-STATIC_DIR = os.path.join(os.path.dirname(__file__), 'static')
-app.mount('/static', StaticFiles(directory=STATIC_DIR), name='static')
-
-@app.get('/')
-async def serve_index():
-    """Serve the clean v2 frontend - single HTML file, no injection."""
-    index_path = os.path.join(STATIC_DIR, 'index_v2.html')
-    if os.path.exists(index_path):
-        return FileResponse(index_path, media_type='text/html')
-    return HTMLResponse('<h1>VNEWS</h1><p>index_v2.html not found</p>', status_code=500)
-
-# Keep /api/hashtag/sources using direct search (not Google News)
-# This was already overridden in app_main.py with _search_all
-# Just make sure it's accessible
-
-# Storage status endpoint
-@app.get('/api/storage_status')
-def storage_status():
-    """Check if persistent storage is enabled."""
-    data_dir = '/data'
-    persistent = os.path.isdir(data_dir) and os.access(data_dir, os.W_OK)
-    return JSONResponse({'persistent': persistent, 'path': data_dir})
-
-# Categories for the tab bar
-@app.get('/api/categories')
-def get_categories():
-    """Return category list for frontend tab bar."""
-    return JSONResponse([])  # Categories moved into News tab, homepage shows media content
-
-# Share page
-@app.get('/s')
-async def share_page(url: str = '', title: str = '', img: str = ''):
-    """OG share page for social media."""
-    html = f'''<!DOCTYPE html><html><head>
-<meta property="og:title" content="{_clean(title)}">
-<meta property="og:url" content="{_clean(url)}">
-<meta property="og:image" content="{_clean(img)}">
-<meta property="og:type" content="article">
-<meta property="og:site_name" content="VNEWS">
-<meta http-equiv="refresh" content="0;url={_clean(url) or '/'}">
-</head><body>Redirecting...</body></html>'''
-    return HTMLResponse(html)

app_final.py

@@ -1,213 +0,0 @@
-"""Final wrapper with complete highlight override including interaction buttons.
-PLUS: Hashtag inline sources on homepage with rewrite button."""
-import json, os, time
-from app_patch_unified import *
-from app_patch_unified import app, UNIFIED_INJECT, f5, f6, rt, PATCH_INJECT
-from fastapi.responses import HTMLResponse, JSONResponse
-from fastapi import Request, Query
-
-DATA_DIR="/data" if os.path.isdir('/data') else "/app/data"
-os.makedirs(DATA_DIR,exist_ok=True)
-HL_STATS_FILE=os.path.join(DATA_DIR,'highlight_stats.json')
-
-def _load_hl():
-    try:
-        if os.path.exists(HL_STATS_FILE):return json.load(open(HL_STATS_FILE,'r',encoding='utf-8'))
-    except:pass
-    return {}
-def _save_hl(db):
-    try:open(HL_STATS_FILE+'.tmp','w',encoding='utf-8').write(json.dumps(db,ensure_ascii=False));os.replace(HL_STATS_FILE+'.tmp',HL_STATS_FILE)
-    except:pass
-
-app.router.routes=[r for r in app.router.routes if not (
-    (getattr(r,'path',None)=='/api/highlight/interact' and 'POST' in getattr(r,'methods',set())) or
-    (getattr(r,'path',None)=='/api/highlight/stats' and 'GET' in getattr(r,'methods',set())) or
-    (getattr(r,'path',None)=='/api/hashtag/sources' and 'GET' in getattr(r,'methods',set())) or
-    (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))
-)]
-
-@app.post('/api/highlight/interact')
-async def _hl_act(request:Request):
-    b=await request.json();vid=str(b.get('id','')).strip();action=str(b.get('action','')).strip()
-    if not vid or action not in ('view','like','share'):return JSONResponse({'error':'invalid'},status_code=400)
-    db=_load_hl();st=db.get(vid,{'views':0,'likes':0,'shares':0})
-    st[action+'s']=st.get(action+'s',0)+1
-    db[vid]=st;_save_hl(db);return JSONResponse({'stats':st})
-
-@app.get('/api/highlight/stats')
-def _hl_stats(ids:str=Query(default='')):
-    db=_load_hl();out={}
-    for vid in ids.split(','):
-        vid=vid.strip()
-        if vid:out[vid]=db.get(vid,{'views':0,'likes':0,'shares':0})
-    return JSONResponse({'stats':out})
-
-@app.get('/api/hashtag/sources')
-def _hashtag_sources(topic:str=Query(...)):
-    """Return sources for a hashtag topic to display inline on homepage."""
-    research=f6._fast_context(topic) if hasattr(f6,'_fast_context') else f6._web_research_context(topic)
-    sources=research.get('sources',[])
-    # Add og:image for each source
-    from ai_runtime_patch_fast import _scrape
-    for s in sources[:6]:
-        if s.get('url') and not s.get('img'):
-            try:_,_,img=_scrape(s['url'],500)
-            except:img=''
-            s['img']=img if img and len(img)>20 else ''
-    return JSONResponse({'sources':sources[:6],'topic':topic})
-
-# PRE_KILL fix
-UNIFIED_INJECT_FIXED = UNIFIED_INJECT.replace(
-    """Object.defineProperty(window,'renderAIShorts7',{get:function(){return function(){}},set:function(){},configurable:true});""",
-    """Object.defineProperty(window,'renderAIShorts7',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'renderPatchedWall',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'renderAiShorts',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'renderWall',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'renderAIShorts',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'loadPatchedWall',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'refreshFinalWall3',{get:function(){return function(){}},set:function(){},configurable:true});"""
-)
-
-# Fix highlight fetch
-UNIFIED_INJECT_FIXED = UNIFIED_INJECT_FIXED.replace(
-    "var articles=(window._hlLeagueData||{})[league]||[];\n  if(!articles.length){el.innerHTML=",
-    "var articles=(window._hlLeagueData||{})[league]||[];\n  if(!articles.length){try{var _r=await fetch('/api/highlights/'+league);articles=await _r.json();if(!Array.isArray(articles))articles=[];}catch(e){articles=[];}}\n  if(!articles.length){el.innerHTML="
-)
-
-# Highlight full override (same as 5a5b626)
-HIGHLIGHT_FULL_OVERRIDE = r'''
-<style>
-.tiktok-slide.ratio-wide video,.tiktok-slide.ratio-wide iframe{object-fit:contain!important}
-.hl-ask-panel{position:fixed;bottom:0;left:0;right:0;max-height:50vh;background:#181818;border-radius:16px 16px 0 0;z-index:99999;padding:14px;display:none;overflow-y:auto}.hl-ask-panel.active{display:block}.hl-ask-panel textarea,.hl-ask-panel input{width:100%;background:#222;border:1px solid #444;color:#eee;border-radius:10px;padding:9px;margin:6px 0}.hl-ask-panel button{background:#2d8659;border:0;color:#fff;border-radius:10px;padding:8px 12px;margin:4px}.hl-ask-answer{white-space:pre-wrap;color:#ccc;font-size:12px;margin-top:8px}
-.hashtag-sources{margin:8px 4px;background:#1a1a1a;border:1px solid #2a2a2a;border-radius:10px;padding:10px}.hashtag-sources h3{font-size:13px;color:#5cb87a;margin-bottom:8px}.hashtag-src-item{display:flex;gap:8px;padding:8px;background:#202020;border-radius:8px;margin:6px 0;cursor:pointer}.hashtag-src-item:active{opacity:.8}.hashtag-src-img{flex:0 0 80px;aspect-ratio:16/9;background:#333;border-radius:6px;overflow:hidden}.hashtag-src-img img{width:100%;height:100%;object-fit:cover}.hashtag-src-text{flex:1;min-width:0}.hashtag-src-title{font-size:12px;font-weight:700;color:#eee;display:-webkit-box;-webkit-line-clamp:2;-webkit-box-orient:vertical;overflow:hidden}.hashtag-src-via{font-size:10px;color:#888;margin-top:2px}.hashtag-rewrite-btn{width:100%;margin-top:8px;background:#2d8659;border:0;color:#fff;padding:9px;border-radius:10px;font-size:12px;font-weight:700;cursor:pointer}
-</style>
-<div id="hl-ask-panel" class="hl-ask-panel"></div>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,function(m){return{'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]});}
-
-// === HASHTAG INLINE: click hashtag → show sources on homepage + rewrite button ===
-window.showHashtagSources=async function(topic){
-  var home=document.getElementById('view-home');if(!home)return;
-  document.getElementById('hashtag-sources-box')?.remove();
-  var box=document.createElement('div');box.id='hashtag-sources-box';box.className='hashtag-sources';
-  box.innerHTML='<h3>🔍 '+esc(topic)+'</h3><div style="color:#888;font-size:11px">Đang tìm nguồn...</div>';
-  var compose=home.querySelector('.ai-compose');
-  if(compose)compose.after(box);else home.prepend(box);
-  try{
-    var r=await fetch('/api/hashtag/sources?topic='+encodeURIComponent(topic));
-    var j=await r.json();var sources=j.sources||[];
-    if(!sources.length){box.innerHTML='<h3>🔍 '+esc(topic)+'</h3><div style="color:#888;font-size:12px">Không tìm được nguồn</div>';return;}
-    var h='<h3>🔍 '+esc(topic)+' <span style="font-size:10px;color:#888">('+sources.length+' nguồn)</span></h3>';
-    sources.forEach(function(s){
-      h+='<div class="hashtag-src-item" onclick="if(typeof readArticle===\'function\')readArticle(\''+esc(s.url||'')+'\')">';
-      h+='<div class="hashtag-src-img">'+(s.img?'<img src="'+esc(s.img)+'" onerror="this.style.display=\'none\'">':'')+'</div>';
-      h+='<div class="hashtag-src-text"><div class="hashtag-src-title">'+esc(s.title)+'</div><div class="hashtag-src-via">'+esc(s.via||s.source||'')+'</div></div>';
-      h+='</div>';
-    });
-    h+='<button class="hashtag-rewrite-btn" onclick="rewriteHashtagTopic(\''+esc(topic)+'\')">🤖 Rewrite AI tổng hợp nguồn & đăng tường</button>';
-    box.innerHTML=h;
-  }catch(e){box.innerHTML='<h3>🔍 '+esc(topic)+'</h3><div style="color:#e74c3c;font-size:12px">Lỗi: '+esc(e.message)+'</div>';}
-};
-
-window.rewriteHashtagTopic=async function(topic){
-  var btn=event?.target;if(btn){btn.disabled=true;btn.textContent='Đang tổng hợp...';}
-  try{
-    var r=await fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic:topic})});
-    var j=await r.json();
-    if(!r.ok||j.error)throw new Error(j.error||'Lỗi');
-    if(btn)btn.textContent='✅ Đã đăng lên Tường AI!';
-    setTimeout(function(){document.getElementById('hashtag-sources-box')?.remove();},2000);
-  }catch(e){
-    if(btn){btn.disabled=false;btn.textContent='❌ '+e.message;}
-  }
-};
-
-// Override hashtag chip click to use showHashtagSources instead of topic input
-setTimeout(function(){
-  document.querySelectorAll('.hot-chip').forEach(function(chip){
-    chip.onclick=function(e){
-      e.preventDefault();e.stopPropagation();
-      var topic=chip.textContent.replace(/^#/,'').trim();
-      if(topic)showHashtagSources(topic);
-    };
-  });
-},3000);
-// Re-patch after hot topics load
-setInterval(function(){
-  document.querySelectorAll('.hot-chip:not([data-patched])').forEach(function(chip){
-    chip.dataset.patched='1';
-    chip.onclick=function(e){
-      e.preventDefault();e.stopPropagation();
-      var topic=chip.textContent.replace(/^#/,'').trim();
-      if(topic)showHashtagSources(topic);
-    };
-  });
-},2000);
-
-// === FULL openLeaguePlayer override (same as before) ===
-window.openLeaguePlayer=async function(league,idx){
-  showView('view-tiktok');document.querySelectorAll('.cat').forEach(function(x){x.classList.remove('active')});
-  var el=document.getElementById('view-tiktok');el.innerHTML='<div class="loading">Đang tải highlight...</div>';
-  var cfg=(window.HL_CONFIG||{})[league]||{name:league,emoji:'🎬'};
-  var articles=(window._hlLeagueData||{})[league]||[];
-  if(!articles.length){try{var resp=await fetch('/api/highlights/'+league);articles=await resp.json();if(!Array.isArray(articles))articles=[];}catch(e){articles=[];}}
-  if(!articles.length){el.innerHTML='<div class="loading">Không có video</div>';return;}
-  var vids=[];var results=await Promise.all(articles.map(async function(a,i){try{var r=await fetch('/api/video_url?url='+encodeURIComponent(a.link));var v=await r.json();if(v&&v.src)return Object.assign({},a,v,{_idx:i});}catch(e){}return null;}));results.forEach(function(r){if(r)vids.push(r);});vids.sort(function(a,b){return a._idx-b._idx;});
-  if(!vids.length){el.innerHTML='<div class="loading">Không tìm thấy video</div>';return;}
-  var ti=vids.findIndex(function(v){return v._idx===idx;});if(ti<0)ti=0;var ordered=ti>0?vids.slice(ti).concat(vids.slice(0,ti)):vids;
-  var h='<button class="back-btn" onclick="switchCat(\'home\')">← '+esc(cfg.emoji)+' '+esc(cfg.name)+'</button><div class="tiktok-container"><div class="tiktok-feed" id="tiktok-feed">';
-  ordered.forEach(function(v,i){var hlid=encodeURIComponent(v.link||v.title);var isYT=v.type==='youtube';var isHLS=!isYT&&v.src&&v.src.indexOf('.m3u8')>-1;var poster=v.poster?' poster="'+v.poster+'"':'';var vtag=isYT?'<iframe data-yt-src="'+v.src+'" allowfullscreen allow="accelerometer;autoplay;clipboard-write;encrypted-media;gyroscope;picture-in-picture" style="width:100%;height:100%;border:none"></iframe>':isHLS?'<video playsinline preload="none"'+poster+' data-hls="'+v.src+'" loop controls style="width:100%;height:100%;object-fit:cover"></video>':'<video playsinline preload="none"'+poster+' loop controls style="width:100%;height:100%;object-fit:cover"><source src="'+v.src+'" type="video/mp4"></video>';h+='<div class="tiktok-slide" id="tslide-'+i+'" data-hlid="'+hlid+'">'+vtag+'<div class="tiktok-bottom"><span class="badge badge-fpt">'+esc(cfg.name)+'</span><p class="tiktok-title">'+esc(v.title)+'</p></div><div class="tiktok-right"><button class="tiktok-right-btn" onclick="event.stopPropagation();hlAct(this,\'view\')"><div class="icon">👁</div><div class="count" data-a="views">0</div></button><button class="tiktok-right-btn" onclick="event.stopPropagation();hlAct(this,\'like\')"><div class="icon">❤️</div><div class="count" data-a="likes">0</div></button><button class="tiktok-right-btn" onclick="event.stopPropagation();openHlComments(\''+hlid+'\')"><div class="icon">💬</div><div class="count">BL</div></button><button class="tiktok-right-btn" onclick="event.stopPropagation();openHlAsk(\''+hlid+'\',\''+esc(v.title)+'\')"><div class="icon">🤖</div><div class="count">Hỏi</div></button><button class="tiktok-right-btn" onclick="event.stopPropagation();hlAct(this,\'share\');if(typeof doShareVideo===\'function\')doShareVideo(\''+esc(v.title)+'\',\''+esc(v.link||'')+'\',\''+esc(v.poster||v.img||'')+'\',\'highlights\')"><div class="icon">📤</div><div class="count" data-a="shares">0</div></button><button class="tiktok-right-btn" onclick="event.stopPropagation();toggleHlRatio(this)"><div class="icon">⬜</div><div class="count">16:9</div></button></div><span class="tiktok-counter">'+(i+1)+'/'+ordered.length+'</span></div>';});
-  h+='</div></div>';el.innerHTML=h;
-  var feed=document.getElementById('tiktok-feed');if(!feed)return;var slides=feed.querySelectorAll('.tiktok-slide');var cur=-1;
-  function act(i){if(i===cur)return;slides.forEach(function(sl,idx){var v=sl.querySelector('video');var fr=sl.querySelector('iframe');if(idx===i){if(v&&v.dataset.hls){if(!v._hls&&typeof Hls!=='undefined'&&Hls.isSupported()){var hls=new Hls();hls.loadSource(v.dataset.hls);hls.attachMedia(v);hls.on(Hls.Events.MANIFEST_PARSED,function(){v.play().catch(function(){});});v._hls=hls;}else if(v._hls)v.play().catch(function(){});}else if(v)v.play().catch(function(){});if(fr&&!fr.src&&fr.dataset.ytSrc)fr.src=fr.dataset.ytSrc;hlAct(sl.querySelector('.tiktok-right .tiktok-right-btn'),'view');}else{if(v){v.pause();if(v._hls){v._hls.destroy();v._hls=null;}}if(fr&&fr.src)fr.src='';}});cur=i;}
-  var sT;feed.addEventListener('scroll',function(){clearTimeout(sT);sT=setTimeout(function(){var rect=feed.getBoundingClientRect(),ctr=rect.top+rect.height/2,best=-1,bestD=1e9;slides.forEach(function(sl,i){var d=Math.abs(sl.getBoundingClientRect().top+sl.getBoundingClientRect().height/2-ctr);if(d<bestD){bestD=d;best=i;}});if(best>=0)act(best);},150);});
-  setTimeout(function(){act(0);},400);slides.forEach(function(sl){var v=sl.querySelector('video');if(v)v.addEventListener('click',function(e){e.preventDefault();v.paused?v.play().catch(function(){}):v.pause();});});
-  var ids=[];slides.forEach(function(sl){if(sl.dataset.hlid)ids.push(sl.dataset.hlid);});
-  if(ids.length)fetch('/api/highlight/stats?ids='+ids.join(',')).then(function(r){return r.json()}).then(function(j){var stats=j.stats||{};slides.forEach(function(sl){var st=stats[sl.dataset.hlid];if(!st)return;var r=sl.querySelector('.tiktok-right');if(!r)return;var vc=r.querySelector('[data-a="views"]');if(vc)vc.textContent=st.views||0;var lc=r.querySelector('[data-a="likes"]');if(lc)lc.textContent=st.likes||0;var sc=r.querySelector('[data-a="shares"]');if(sc)sc.textContent=st.shares||0;});}).catch(function(){});
-};
-window.hlAct=async function(btn,action){var slide=btn?btn.closest('.tiktok-slide'):null;var id=slide?slide.dataset.hlid:'';if(!id)return;try{var r=await fetch('/api/highlight/interact',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({id:id,action:action})});var j=await r.json();if(j.stats&&slide){var right=slide.querySelector('.tiktok-right');if(right){var vc=right.querySelector('[data-a="views"]');if(vc)vc.textContent=j.stats.views||0;var lc=right.querySelector('[data-a="likes"]');if(lc)lc.textContent=j.stats.likes||0;var sc=right.querySelector('[data-a="shares"]');if(sc)sc.textContent=j.stats.shares||0;}}}catch(e){}};
-window.toggleHlRatio=function(btn){var slide=btn.closest('.tiktok-slide');if(!slide)return;slide.classList.toggle('ratio-wide');var label=btn.querySelector('.count');if(label)label.textContent=slide.classList.contains('ratio-wide')?'1:1':'16:9';};
-window.openHlComments=async function(id){var panel=document.getElementById('hl-ask-panel');var j=await fetch('/api/short/comments?id='+id).then(function(r){return r.json()}).catch(function(){return{comments:[]}});var cmts=j.comments||[];panel.innerHTML='<h3 style="color:#5cb87a;font-size:14px">💬 Bình luận</h3><div id="hl-cmt-list">'+(cmts.map(function(c){return'<div style="background:#222;border-radius:8px;padding:7px;margin:5px 0;color:#ccc;font-size:12px">'+esc(c.text)+'</div>'}).join('')||'<div style="color:#777;font-size:12px">Chưa có</div>')+'</div><textarea id="hl-cmt-text" placeholder="Bình luận..."></textarea><button onclick="submitHlCmt(\''+id+'\')">Gửi</button><button onclick="document.getElementById(\'hl-ask-panel\').classList.remove(\'active\')">Đóng</button>';panel.classList.add('active');};
-window.submitHlCmt=async function(id){var t=document.getElementById('hl-cmt-text');if(!t||!t.value.trim())return;var j=await fetch('/api/short/comment',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({id:id,text:t.value.trim()})}).then(function(r){return r.json()}).catch(function(){return{comments:[]}});document.getElementById('hl-cmt-list').innerHTML=(j.comments||[]).map(function(c){return'<div style="background:#222;border-radius:8px;padding:7px;margin:5px 0;color:#ccc;font-size:12px">'+esc(c.text)+'</div>'}).join('');t.value='';};
-window.openHlAsk=function(id,title){var panel=document.getElementById('hl-ask-panel');panel.innerHTML='<h3 style="color:#5cb87a;font-size:14px">🤖 Hỏi AI</h3><input id="hl-ask-q" placeholder="Hỏi về: '+esc(title)+'..."><div id="hl-ask-ans" class="hl-ask-answer"></div><button onclick="submitHlAsk(\''+id+'\',\''+esc(title)+'\')">Hỏi</button><button onclick="document.getElementById(\'hl-ask-panel\').classList.remove(\'active\')">Đóng</button>';panel.classList.add('active');};
-window.submitHlAsk=async function(id,title){var q=document.getElementById('hl-ask-q');if(!q||!q.value.trim())return;var ans=document.getElementById('hl-ask-ans');ans.textContent='Đang hỏi...';try{var r=await fetch('/api/article/ask',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({question:q.value.trim(),context:'Video highlight: '+decodeURIComponent(title||id)})});var j=await r.json();ans.textContent=j.answer||'Không trả lời được';}catch(e){ans.textContent='Lỗi: '+e.message}};
-})();
-</script>
-'''
-
-EXTRA_WALL_FIX = r'''
-<style>[data-wall-live="1"]{display:none!important}</style>
-<script>
-(function(){
-var _wc=setInterval(function(){
-  var home=document.getElementById('view-home');if(!home||!home.classList.contains('active'))return;
-  var has=document.getElementById('short-ai-final-slide');
-  if(!has&&typeof renderShortAISlide==='function')renderShortAISlide();
-  if(!document.querySelector('.slider-wrap[data-wall-live]')){
-    fetch('/api/ai_wall').then(function(r){return r.json()}).then(function(j){
-      var posts=(j&&j.posts)||[];if(!posts.length)return;
-      if(typeof window._serverWall!=='undefined')window._serverWall=posts;
-      if(typeof prependWallPost==='function')prependWallPost(posts[0]);
-    }).catch(function(){});
-  }
-},4000);
-setTimeout(function(){clearInterval(_wc);},30000);
-})();
-</script>
-'''
-
-@app.get('/')
-async def _index_fixed():
-    html=f5.f4.f3.f2.f1._load_index_html()
-    body=''
-    body+=getattr(rt.old,'PATCH_INJECT','')
-    body+=f5.f4.f3.f2.f1.FINAL_INJECT+f5.f4.f3.FINAL3_INJECT+f5.f4.FINAL4_INJECT+f5.FINAL5_INJECT
-    body+=getattr(f6,'FINAL6_INJECT','')
-    body+=getattr(f6,'FINAL6_FAST_HOME_INJECT','')
-    body+=getattr(f6,'FINAL6E_INJECT','')
-    body+=PATCH_INJECT
-    body+=UNIFIED_INJECT_FIXED
-    body+=HIGHLIGHT_FULL_OVERRIDE
-    body+=EXTRA_WALL_FIX
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)

app_main.py

@@ -1,283 +0,0 @@
-"""VNEWS v2 - Clean frontend. CRITICAL: removes ALL old routes before registering new ones."""
-from app_run import *
-from app_run import app, f5, f6, rt, PATCH_INJECT, UNIFIED_INJECT_FIXED, HIGHLIGHT_FULL_OVERRIDE, EXTRA_WALL_FIX, FAST_HASHTAG_JS
-from fastapi.responses import HTMLResponse, JSONResponse, FileResponse, Response
-from fastapi.staticfiles import StaticFiles
-from fastapi import Query, Request
-import requests as req
-from urllib.parse import quote
-from bs4 import BeautifulSoup
-import re, html as html_lib, os, json, threading, time
-from concurrent.futures import ThreadPoolExecutor, as_completed
-
-def _clean(s):return re.sub(r"\s+"," ",html_lib.unescape(str(s or ""))).strip()
-_STOP_WORDS=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'.split())
-
-def _relevance_score(topic, title):
-    topic_lower = topic.lower().strip();title_lower = (title or '').lower()
-    if topic_lower in title_lower: return 10
-    topic_words = [w for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+', topic_lower) if len(w) > 1 and w not in _STOP_WORDS]
-    if not topic_words: return 0
-    matched = sum(1 for w in topic_words if w in title_lower)
-    ratio = matched / len(topic_words) if topic_words else 0
-    return int(ratio * 8) if ratio >= 0.6 else 0
-
-def _search_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'):items.append({'title':_clean(a.get('title','') or a.get_text(strip=True)),'url':a['href'],'via':'VnExpress'})
-    except:pass
-    return items
-def _search_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:
-                if not href.startswith('http'):href='https://dantri.com.vn'+href
-                if 'dantri.com.vn' in href:items.append({'title':t,'url':href,'via':'Dân Trí'})
-            if len(items)>=limit:break
-    except:pass
-    return items
-def _search_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], .horizontalPost__main-title a')[:limit*2]:
-            t=_clean(a.get_text(strip=True));href=a.get('href','')
-            if t and len(t)>15:
-                if not href.startswith('http'):href='https://vietnamnet.vn'+href
-                if 'vietnamnet.vn' in href:items.append({'title':t,'url':href,'via':'VietNamNet'})
-            if len(items)>=limit:break
-    except:pass
-    return items
-def _search_all(topic, limit=40):
-    all_items=[]
-    with ThreadPoolExecutor(5) as ex:
-        futs=[ex.submit(_search_vnexpress,topic,10),ex.submit(_search_dantri,topic,10),ex.submit(_search_vietnamnet,topic,8)]
-        for f in as_completed(futs,timeout=12):
-            try:all_items.extend(f.result())
-            except:pass
-    seen=set();unique=[]
-    for i in all_items:
-        if i.get('url') and i['url'] not in seen:seen.add(i['url']);unique.append(i)
-    return unique[:limit]
-
-# Remove old routes
-app.router.routes = [r for r in app.router.routes if not (
-    (getattr(r, 'path', None) == '/' and 'GET' in getattr(r, 'methods', set())) or
-    (getattr(r, 'path', None) == '/api/hashtag/sources' and 'GET' in getattr(r, 'methods', set())) or
-    (getattr(r, 'path', None) in ('/api/short/comments', '/api/short/comment'))
-)]
-app.routes[:] = [r for r in app.routes if not (
-    hasattr(r, 'path') and getattr(r, 'path', None) == '/' and
-    hasattr(r, 'methods') and 'GET' in getattr(r, 'methods', set())
-)]
-
-STATIC_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'static')
-
-@app.get('/api/hashtag/sources')
-def _ht(topic:str=Query(...), page:int=Query(default=0)):
-    all_items=_search_all(topic, 40)
-    scored = [(s,item) for item in all_items if (s:=_relevance_score(topic, item.get('title','')))>0]
-    scored.sort(key=lambda x: x[0], reverse=True)
-    filtered = [item for _, item in scored]
-    if len(filtered) < 3: filtered = all_items
-    per_page=6;start=page*per_page;end=start+per_page
-    return JSONResponse({'sources':filtered[start:end],'topic':topic,'page':page,'has_more':end<len(filtered),'total':len(filtered)})
-
-@app.get('/api/categories')
-def _categories():return JSONResponse([])
-@app.get('/api/storage_status')
-def _storage():return JSONResponse({'persistent':os.path.isdir('/data') and os.access('/data', os.W_OK)})
-@app.get('/s')
-async def _share(url:str='',title:str='',img:str=''):
-    return HTMLResponse(f'<!DOCTYPE html><html><head><meta property="og:title" content="{_clean(title)}"><meta property="og:image" content="{_clean(img)}"><meta http-equiv="refresh" content="0;url={_clean(url) or "/"}"></head><body>Redirecting...</body></html>')
-
-@app.get('/api/proxy/page')
-def proxy_page(url: str = Query(...)):
-    try:
-        r = req.get(url, headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36','Accept-Language':'vi-VN,vi;q=0.9','Referer':'https://hd.xemtv.net/'}, timeout=15)
-        return HTMLResponse(content=r.text)
-    except:
-        return HTMLResponse(content='', status_code=502)
-
-@app.get('/api/proxy/hls')
-def proxy_hls(url: str = Query(...)):
-    try:
-        headers = {
-            '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': '*/*',
-            'Accept-Language': 'vi-VN,vi;q=0.9',
-            'Referer': 'https://fptplay.vn/',
-            'Origin': 'https://fptplay.vn',
-        }
-        r = req.get(url, headers=headers, timeout=15)
-        content_type = r.headers.get('Content-Type', 'application/vnd.apple.mpegurl')
-        text = r.text
-        base_url = url.rsplit('/', 1)[0] + '/'
-        def _rewrite_url(m):
-            seg_url = m.group(0)
-            if seg_url.startswith('http'):
-                return '/api/proxy/seg?url=' + quote(seg_url, safe='')
-            elif seg_url.startswith('/'):
-                return '/api/proxy/seg?url=' + quote(base_url.rsplit('/', 2)[0] + seg_url, safe='')
-            else:
-                return '/api/proxy/seg?url=' + quote(base_url + seg_url, safe='')
-        text = re.sub(r'https?://[^\s"\'<>]+\.(ts|m3u8)[^\s"\'<>]*', _rewrite_url, text)
-        return HTMLResponse(content=text, media_type=content_type)
-    except:
-        return HTMLResponse(content='', status_code=502)
-
-@app.get('/api/proxy/seg')
-def proxy_seg(url: str = Query(...)):
-    try:
-        headers = {
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
-            'Referer': 'https://fptplay.vn/',
-            'Origin': 'https://fptplay.vn',
-        }
-        r = req.get(url, headers=headers, timeout=15)
-        content_type = r.headers.get('Content-Type', 'video/MP2T')
-        return Response(content=r.content, media_type=content_type)
-    except:
-        return Response(content=b'', status_code=502)
-
-# Interactions
-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)
-INTERACTIONS_FILE = os.path.join(DATA_DIR, 'interactions_v2.json')
-COMMENTS_FILE = os.path.join(DATA_DIR, 'comments_v2.json')
-_interact_lock = threading.Lock()
-_comment_lock = threading.Lock()
-def _load_json(path):
-    try:
-        if os.path.exists(path):
-            with open(path,'r',encoding='utf-8') as f:return json.load(f)
-    except:pass
-    return {}
-def _save_json(path, data):
-    try:
-        tmp=path+'.tmp'
-        with open(tmp,'w',encoding='utf-8') as f:json.dump(data,f,ensure_ascii=False)
-        os.replace(tmp,path)
-    except:pass
-
-@app.post('/api/v2/interact')
-async def api_interact(request:Request):
-    body=await request.json();vid=str(body.get('id','')).strip();itype=str(body.get('type','')).strip()
-    if not vid or itype not in('view','like'):return JSONResponse({'error':'invalid'},status_code=400)
-    with _interact_lock:
-        db=_load_json(INTERACTIONS_FILE)
-        if vid not in db:db[vid]={'views':0,'likes':0,'comments':0}
-        db[vid][itype+'s']=db[vid].get(itype+'s',0)+1
-        _save_json(INTERACTIONS_FILE,db);return JSONResponse(db[vid])
-@app.get('/api/v2/interactions')
-def api_get_interactions(id:str=Query(...)):
-    with _interact_lock:return JSONResponse(_load_json(INTERACTIONS_FILE).get(id.strip(),{'views':0,'likes':0,'comments':0}))
-@app.get('/api/v2/comments')
-def api_get_comments(id:str=Query(...)):
-    with _comment_lock:return JSONResponse({'comments':_load_json(COMMENTS_FILE).get(id.strip(),[])})
-@app.post('/api/v2/comment')
-async def api_post_comment(request:Request):
-    body=await request.json();vid=str(body.get('id','')).strip();text=str(body.get('text','')).strip()[:500]
-    if not vid or not text:return JSONResponse({'error':'invalid'},status_code=400)
-    comment={'text':text,'time':time.strftime('%H:%M %d/%m',time.localtime()),'ts':int(time.time())}
-    with _comment_lock:
-        db=_load_json(COMMENTS_FILE)
-        if vid not in db:db[vid]=[]
-        db[vid].append(comment)
-        if len(db[vid])>200:db[vid]=db[vid][-200:]
-        _save_json(COMMENTS_FILE,db);comments=db[vid]
-    with _interact_lock:
-        idb=_load_json(INTERACTIONS_FILE)
-        if vid not in idb:idb[vid]={'views':0,'likes':0,'comments':0}
-        idb[vid]['comments']=len(comments);_save_json(INTERACTIONS_FILE,idb)
-    return JSONResponse({'comments':comments})
-
-# World Cup 2026 API
-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
-)
-
-@app.get('/api/wc2026')
-def api_wc2026_all():return JSONResponse(get_wc2026_all())
-@app.get('/api/wc2026/summary')
-def api_wc2026_summary():return JSONResponse(scrape_summary())
-@app.get('/api/wc2026/fixtures')
-def api_wc2026_fixtures():return JSONResponse(scrape_fixtures())
-@app.get('/api/wc2026/standings')
-def api_wc2026_standings():return JSONResponse(scrape_standings())
-@app.get('/api/wc2026/stats')
-def api_wc2026_stats():return JSONResponse(scrape_stats())
-@app.get('/api/wc2026/history')
-def api_wc2026_history():return JSONResponse(scrape_history())
-@app.get('/api/wc2026/news')
-def api_wc2026_news():return JSONResponse(scrape_wc_news())
-@app.get('/api/wc2026/road')
-def api_wc2026_road():return JSONResponse(scrape_road_to_wc())
-@app.get('/api/wc2026/h2h/{event_id}')
-def api_wc2026_h2h(event_id:int):return JSONResponse(scrape_h2h(event_id))
-@app.get('/api/wc2026/lineups/{event_id}')
-def api_wc2026_lineups(event_id:int):return JSONResponse(scrape_lineups(event_id))
-@app.get('/api/wc2026/match/{event_id}')
-def api_wc2026_match(event_id:int):return JSONResponse(scrape_match_detail(event_id))
-
-# Match Detail API (for any match from bongda.com.vn)
-from match_detail import fetch_match_detail, fetch_match_detail_by_url, _bongda_api
-
-@app.get('/api/match/{event_id}/detail')
-def api_match_detail(event_id: int, url: str = Query(default=None)):
-    """Get complete match detail. Optional 'url' param with full bongda URL (with slug) for HTML scraping."""
-    if url:
-        return JSONResponse(fetch_match_detail_by_url(url))
-    return JSONResponse(fetch_match_detail(event_id))
-
-@app.get('/api/match/{event_id}/commentaries')
-def api_match_commentaries(event_id: int):
-    """Get match commentaries from bongda API."""
-    comm = _bongda_api("/api/fixtures/commentaries", {"event_id": event_id})
-    if comm and comm.get("status") == "success":
-        html = comm.get("html", "")
-        if html and len(html.strip()) > 10:
-            return JSONResponse({"html": html})
-    return JSONResponse({"html": ""})
-
-@app.get('/api/match/{event_id}/stats')
-def api_match_stats(event_id: int):
-    """Get match player performance stats from bongda API."""
-    perf = _bongda_api("/api/event-standing/player-performance", {"event_id": event_id})
-    if perf and perf.get("status") == "success":
-        html = perf.get("html", "")
-        if html and len(html.strip()) > 10:
-            return JSONResponse({"html": html})
-    return JSONResponse({"html": ""})
-
-@app.get('/api/match/detail')
-def api_match_detail_by_url(url: str = Query(...)):
-    """Get match detail by full bongda.com.vn URL."""
-    return JSONResponse(fetch_match_detail_by_url(url))
-
-def _wc2026_bg_refresh():
-    time.sleep(10)
-    while True:
-        try:get_wc2026_all()
-        except:pass
-        time.sleep(90)
-threading.Thread(target=_wc2026_bg_refresh,daemon=True).start()
-
-# Serve frontend
-@app.get('/')
-async def _index_v2():
-    index_path = os.path.join(STATIC_DIR, 'index_v2.html')
-    if os.path.exists(index_path):
-        return FileResponse(index_path, media_type='text/html')
-    return HTMLResponse('<html><body><h1>VNEWS v2</h1><p>index_v2.html not found</p></body></html>')
-
-app.mount('/static', StaticFiles(directory=STATIC_DIR), name='vnews_static')

app_patch_unified.py

@@ -1,273 +0,0 @@
-"""
-VNEWS Unified Patch v2
-======================
-Single file replacing app_entry.py + patch_extra.py functionality.
-No conflicts, no duplicate slides, no DOM destruction.
-
-Features:
-1. Tường AI persistent (fix FINAL6E destroying DOM)
-2. Source details with image + description + "Xem trên VNEWS"
-3. Highlight = TikTok fullheight 1:1 crop center with interaction buttons
-4. Rewrite auto-title, no "xem trên VNEWS" junk
-5. Topic post uses source og:image instead of AI image
-6. Fast homepage load (non-blocking)
-"""
-from ai_runtime_patch_fast import *
-from ai_runtime_patch_fast import app, f5, f6, rt, PATCH_INJECT, _scrape, _domain, clean, _bg, _bg_home, _bg_shorts
-from fastapi.responses import HTMLResponse, JSONResponse
-from fastapi import Request, Query
-import asyncio, re, threading, time
-
-DEFAULT_IMG = "https://s1.vnecdn.net/vnexpress/restruct/i/v9505/logo_default.jpg"
-
-# ============================================================
-# REMOVE ALL CONFLICTING ROUTES — we redefine them cleanly
-# ============================================================
-_OVERRIDE_PATHS = {'/api/homepage','/api/shorts','/api/topic_post','/api/topic/rewrite','/api/rewrite_share','/api/url_wall','/'}
-app.router.routes = [r for r in app.router.routes if not (getattr(r,'path',None) in _OVERRIDE_PATHS and any(m in getattr(r,'methods',set()) for m in ('GET','POST')))]
-
-# ============================================================
-# FAST HOMEPAGE + SHORTS (non-blocking)
-# ============================================================
-@app.get('/api/homepage')
-def _homepage():
-    if _bg_home['d']:
-        if time.time()-_bg_home['t']>300:threading.Thread(target=_bg,daemon=True).start()
-        return JSONResponse(_bg_home['d'])
-    threading.Thread(target=_bg,daemon=True).start()
-    return JSONResponse([])
-
-@app.get('/api/shorts')
-def _shorts(refresh:int=Query(default=0)):
-    if _bg_shorts['d']:
-        if time.time()-_bg_shorts['t']>600:threading.Thread(target=_bg,daemon=True).start()
-        return JSONResponse(_bg_shorts['d'])
-    threading.Thread(target=_bg,daemon=True).start()
-    return JSONResponse([])
-
-# ============================================================
-# HELPERS
-# ============================================================
-def _extract_title(text):
-    if not text:return 'Bài viết AI'
-    lines=[l.strip() for l in text.strip().split('\n') if l.strip()]
-    if lines:
-        first=re.sub(r'^[#*\-•\d\.\)\s]+','',lines[0]).strip()
-        if 10<=len(first)<=120:return first
-    return lines[0][:100] if lines else 'Bài viết AI'
-
-def _clean_text(text):
-    if not text:return text
-    for junk in ['xem trên VNEWS','Xem trên VNEWS','📖 Xem trên VNEWS','đọc trên VNEWS','Đọc trên VNEWS','Mở nguồn gốc','mở nguồn gốc','📖 Đọc trên']:
-        text=text.replace(junk,'')
-    return re.sub(r'\n{3,}','\n\n',text).strip()
-
-def _source_image(sources, details):
-    for s in (details or [])+(sources or []):
-        url=s.get('url','')
-        if not url:continue
-        try:_,_,img=_scrape(url,500)
-        except:img=''
-        if img and 'pollinations' not in img and len(img)>20:return img
-    return ''
-
-def _ensure_img(img):
-    return img if (img and len(img)>20 and img.startswith('http')) else DEFAULT_IMG
-
-# ============================================================
-# TOPIC POST (source image instead of AI image)
-# ============================================================
-@app.post('/api/topic_post')
-async def _topic(request:Request):
-    b=await request.json();topic=clean(b.get('topic',''))
-    if not topic:return JSONResponse({'error':'missing topic'},status_code=400)
-    research=f6._fast_context(topic) if hasattr(f6,'_fast_context') else f6._web_research_context(topic)
-    ctx=research.get('context','');src=research.get('sources',[])
-    det=f6._extract_source_details_from_context(ctx,src) if hasattr(f6,'_extract_source_details_from_context') else []
-    if not ctx or not src:return JSONResponse({'error':'Không tìm được nội dung.'},status_code=422)
-    img=_ensure_img(_source_image(src,det) or f6._topic_image(topic))
-    sb='\n\n'.join([f"[{i+1}] {d.get('title','')} ({d.get('via','')})\n{d.get('content','')[:1400]}" for i,d in enumerate(det)]) if det else ctx[:18000]
-    text=None
-    try:text=await asyncio.wait_for(f5.base.qwen_generate(f'Viết bài tiếng Việt VỀ: "{topic}"\nNGUỒN:\n{sb[:18000]}\nCHỈ viết về "{topic}". 5-8 đoạn. Cuối có nguồn.',image_url=img,max_tokens=1700),timeout=35)
-    except:pass
-    if not text or len(text)<300:
-        text=f"{topic}: tổng hợp\n\n"+'\n'.join([f"• {d['title']}: {d.get('content','')[:300]}" for d in (det or [])[:6]])+"\n\nNguồn: "+', '.join(sorted({d.get('via','') for d in (det or []) if d.get('via')}))
-    text=_clean_text(text)
-    post=f5.base.make_post(topic,text,img,'','topic_focused',sources=[s for s in src if s.get('url')])
-    post['images']=[img];post['source_details']=det
-    ps=f5.base._load_ai_wall();ps.insert(0,post);f5.base._save_ai_wall(ps)
-    return JSONResponse({'post':post})
-
-# ============================================================
-# REWRITE (auto-title, clean text)
-# ============================================================
-@app.post('/api/rewrite_share')
-@app.post('/api/url_wall')
-async def _rewrite(request:Request):
-    b=await request.json();url=clean(b.get('url',''));ctx=clean(b.get('context',''))
-    if not url.startswith('http'):return JSONResponse({'error':'URL không hợp lệ'},status_code=400)
-    title,raw,img=_scrape(url,14000)
-    if len(raw)<50:raw=ctx[:14000]
-    if len(raw)<50:return JSONResponse({'error':'Không đọc được bài'},status_code=422)
-    img=_ensure_img(img)
-    prompt=f"""Tóm tắt bài viết thành bản tin ngắn. Dòng đầu tiên là tiêu đề mới hấp dẫn (tự đặt, không copy gốc).
-
-Tiêu đề gốc: {title}
-Nội dung:
-{raw[:14000]}
-
-Yêu cầu:
-- Dòng 1: Tiêu đề MỚI ngắn gọn hấp dẫn.
-- Tiếp: 4-6 ý chính.
-- Cuối: nguồn.
-- KHÔNG viết bất kỳ cụm điều hướng nào."""
-    text=None
-    try:text=await asyncio.wait_for(f5.base.qwen_generate(prompt,image_url=img,max_tokens=1000),timeout=30)
-    except:pass
-    if not text or len(text)<80:text=f"{title}\n\n{raw[:1200]}\n\nNguồn: {_domain(url)}"
-    text=_clean_text(text)
-    ai_title=_extract_title(text)
-    lines=text.strip().split('\n')
-    body='\n'.join(lines[1:]).strip() if lines and lines[0].strip()==ai_title else text
-    post=f5.base.make_post(ai_title,_clean_text(body),img,url,'rewrite',sources=[{'title':title,'url':url,'via':_domain(url)}])
-    ps=f5.base._load_ai_wall();ps.insert(0,post);f5.base._save_ai_wall(ps)
-    return JSONResponse({'post':post})
-
-@app.post('/api/topic/rewrite')
-async def _topic_rewrite(request:Request):
-    b=await request.json();pid=str(b.get('post_id','')).strip()
-    if not pid:return JSONResponse({'error':'missing post_id'},status_code=400)
-    ps=f5.base._load_ai_wall();p=next((x for x in ps if str(x.get('id'))==pid),None)
-    if not p:return JSONResponse({'error':'Bài không tồn tại'},status_code=404)
-    urls=list(dict.fromkeys([s['url'] for s in (p.get('source_details') or []) if s.get('url')]+[s['url'] for s in (p.get('sources') or []) if s.get('url')]))[:5]
-    parts=[];best_img=''
-    for u in urls:
-        t,r,uimg=_scrape(u,6000)
-        if r and len(r)>150:parts.append(f"[{_domain(u)}] {t}\n{r}")
-        if not best_img and uimg and len(uimg)>20:best_img=uimg
-    ac='\n---\n'.join(parts) if parts else (p.get('text') or '')
-    img=_ensure_img(best_img or p.get('img',''))
-    prompt=f"""Viết lại thành bản tóm tắt mới. Dòng đầu là tiêu đề mới hấp dẫn.
-
-Chủ đề: {p.get('title','')}
-Nguồn:
-{ac[:16000]}
-
-Yêu cầu: Dòng 1 = tiêu đề mới. Tiếp: 4-6 ý. Cuối: nguồn. KHÔNG viết cụm điều hướng."""
-    text=None
-    try:text=await asyncio.wait_for(f5.base.qwen_generate(prompt,image_url=img,max_tokens=1200),timeout=35)
-    except:pass
-    if not text or len(text)<100:text=f"Tóm tắt: {p.get('title','')}\n\n{ac[:1500]}\n\nNguồn: VNEWS AI"
-    text=_clean_text(text)
-    ai_title=_extract_title(text)
-    lines=text.strip().split('\n')
-    body='\n'.join(lines[1:]).strip() if lines and lines[0].strip()==ai_title else text
-    np=f5.base.make_post(ai_title,_clean_text(body),img,'','rewrite_topic',sources=p.get('sources',[]));np['images']=[img]
-    all_p=f5.base._load_ai_wall();all_p.insert(0,np);f5.base._save_ai_wall(all_p)
-    return JSONResponse({'post':np})
-
-# ============================================================
-# UNIFIED INJECT: everything in one clean block
-# ============================================================
-UNIFIED_INJECT = r'''
-<script>
-// === PRE-KILL: prevent old code from destroying Tường AI and Short AI slides ===
-Object.defineProperty(window,'renderTopicWallE',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'renderAIShortHome',{get:function(){return function(){}},set:function(){},configurable:true});
-Object.defineProperty(window,'renderAIShorts7',{get:function(){return function(){}},set:function(){},configurable:true});
-</script>
-<style>
-/* Tiktok right panel for shorts/highlights */
-.tiktok-slide{position:relative!important}
-.tiktok-right{position:absolute!important;right:8px!important;bottom:100px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;z-index:5!important}
-.tiktok-right-btn{display:flex!important;flex-direction:column!important;align-items:center!important;gap:2px!important;background:none!important;border:0!important;color:#fff!important;cursor:pointer!important}
-.tiktok-right-btn .icon{width:42px!important;height:42px!important;border-radius:50%!important;background:rgba(255,255,255,.12)!important;display:flex!important;align-items:center!important;justify-content:center!important;font-size:20px!important}
-.tiktok-right-btn .count{font-size:10px!important;color:#ddd!important}
-/* Highlight: TikTok feed with 1:1 crop center */
-.tiktok-slide video{object-fit:cover!important}
-/* Hide duplicate slides/walls from old layers */
-#ai-short-home,.ai-short-home,.ai-short-card-final,[id*="ai-shorts-patched"]{display:none!important}
-/* Progress toast */
-#short-progress-toast{position:fixed;bottom:70px;left:50%;transform:translateX(-50%);background:#2d8659;color:#fff;padding:10px 20px;border-radius:20px;font-size:12px;z-index:99998;box-shadow:0 4px 12px rgba(0,0,0,.4);display:none}
-/* Source details */
-.source-detail-box{margin-top:14px;background:#151515;border:1px solid #2b2b2b;border-radius:10px;padding:10px}
-.source-detail-item{background:#202020;border-radius:8px;padding:9px;margin:7px 0;cursor:pointer}
-.source-detail-item:active{opacity:.8}
-.source-detail-title{font-size:12px;font-weight:700;color:#eee}
-.source-detail-content{font-size:11px;color:#bbb;line-height:1.4;max-height:80px;overflow:hidden;margin-top:4px}
-.source-detail-item img{width:100%;aspect-ratio:16/9;object-fit:cover;border-radius:6px;margin-bottom:6px;background:#222}
-.source-vnews-btn{display:inline-block;margin-top:6px;background:#2d8659;color:#fff;padding:4px 10px;border-radius:10px;font-size:10px;font-weight:700}
-/* Livescore */
-.ls-content{max-height:480px;overflow-y:auto;padding:0 6px 8px;font-size:12px;color:#ddd}.ls-content ul{list-style:none;padding:0;margin:0}.ls-content .title-content{display:flex;gap:6px;align-items:center;background:#222;border-radius:4px;margin:4px 0;padding:5px 8px}.ls-content .title-content img{width:18px;height:18px}.ls-content .title-content strong{font-size:11px;color:#ccc}.ls-content .match-detail{padding:6px;border-bottom:1px solid #262626;cursor:pointer}.ls-content .match-detail:hover{background:#1a2a1f}.ls-content .match{display:flex;flex-wrap:wrap;align-items:center;gap:4px}.ls-content .datetime{width:100%;font-size:9px;color:#888}.ls-content .teams{display:flex;width:100%;align-items:center;gap:4px}.ls-content .team{flex:1;display:flex;align-items:center;gap:4px;min-width:0}.ls-content .team .name{font-size:11px;color:#ddd;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}.ls-content .team .logo img{width:18px;height:18px}.ls-content .home-team{justify-content:flex-end;text-align:right}.ls-content .status{flex:0 0 54px;text-align:center}.ls-content .status a{color:#fff;text-decoration:none;font-weight:800;font-size:12px}.ls-content .status .label{font-size:8px;color:#888;display:block}.ls-content .status .label.live{color:#e74c3c}.ls-content .info,.ls-content .btns{display:none}.ls-content table,.mo-body table{width:100%;border-collapse:collapse;font-size:11px;color:#ccc}.ls-content table th,.mo-body table th{background:#222;color:#999;padding:5px 4px;font-size:10px;border-bottom:1px solid #333}.ls-content table td,.mo-body table td{padding:4px 3px;border-bottom:1px solid #1a1a1a}.ls-content table .team-name,.mo-body table .team-name{display:flex;align-items:center;gap:4px}.ls-content table .team-name img,.mo-body table .team-name img{width:16px;height:16px}.ls-content table .pts{font-weight:800;color:#f0c040}.mo-body{padding:8px;font-size:12px;color:#ddd}.mo-body ul{list-style:none;padding:0}.mo-body li{padding:5px 0;border-bottom:1px solid #222}
-</style>
-<div id="short-progress-toast"></div>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]));}
-
-// === Progress toast ===
-window.showShortProgress=function(msg){var t=document.getElementById('short-progress-toast');if(t){t.textContent=msg;t.style.display='block';}};
-window.hideShortProgress=function(){var t=document.getElementById('short-progress-toast');if(t)t.style.display='none';};
-window.makeShortFromPost=async function(pid,btn){
-  showShortProgress('⏳ Đang tạo Short AI...');if(btn){btn.disabled=true;btn.textContent='Đang tạo...';}
-  try{var r=await fetch('/api/ai/short/'+pid,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({voice:'nu',emotion:'neutral',speed:1.2})});var j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');showShortProgress('✅ Đã tạo!');setTimeout(hideShortProgress,3000);if(typeof renderShortAISlide==='function')renderShortAISlide();}catch(e){showShortProgress('❌ '+e.message);setTimeout(hideShortProgress,4000);}finally{if(btn){btn.disabled=false;btn.textContent='🎬 Tạo Short AI';}}
-};
-
-// === Remove duplicate slides ===
-setInterval(function(){document.querySelectorAll('#ai-short-home,.ai-short-home,[id*="ai-shorts-patched"]').forEach(function(el){if(el.id!=='short-ai-final-slide')el.remove();});},3000);
-
-// === Override openLeaguePlayer: TikTok vertical feed, 1:1 crop center ===
-window.openLeaguePlayer=async function(league,idx){
-  showView('view-tiktok');document.querySelectorAll('.cat').forEach(x=>x.classList.remove('active'));
-  var el=document.getElementById('view-tiktok');el.innerHTML='<div class="loading">Đang tải...</div>';
-  var cfg=(window.HL_CONFIG||{})[league]||{name:league,emoji:'🎬'};
-  var articles=(window._hlLeagueData||{})[league]||[];
-  if(!articles.length){el.innerHTML='<div class="loading">Không có video</div>';return;}
-  var vids=[];
-  var results=await Promise.all(articles.map(async function(a,i){try{var r=await fetch('/api/video_url?url='+encodeURIComponent(a.link));var v=await r.json();if(v&&v.src)return Object.assign({},a,v,{_idx:i});}catch(e){}return null;}));
-  results.forEach(function(r){if(r)vids.push(r);});
-  vids.sort(function(a,b){return a._idx-b._idx;});
-  if(!vids.length){el.innerHTML='<div class="loading">Không tìm thấy video</div>';return;}
-  var ti=vids.findIndex(function(v){return v._idx===idx;});if(ti<0)ti=0;
-  var ordered=ti>0?vids.slice(ti).concat(vids.slice(0,ti)):vids;
-  var h='<button class="back-btn" onclick="switchCat(\'home\')">← '+cfg.emoji+' '+cfg.name+'</button><div class="tiktok-container"><div class="tiktok-feed" id="tiktok-feed">';
-  ordered.forEach(function(v,i){
-    var isYT=v.type==='youtube';var isHLS=!isYT&&v.src&&v.src.indexOf('.m3u8')>-1;
-    var poster=v.poster?' poster="'+v.poster+'"':'';
-    var vtag=isYT?'<iframe data-yt-src="'+v.src+'" allowfullscreen allow="accelerometer;autoplay;clipboard-write;encrypted-media;gyroscope;picture-in-picture" style="width:100%;height:100%;border:none"></iframe>':isHLS?'<video playsinline preload="none"'+poster+' data-hls="'+v.src+'" loop controls style="width:100%;height:100%;object-fit:cover"></video>':'<video playsinline preload="none"'+poster+' loop controls style="width:100%;height:100%;object-fit:cover"><source src="'+v.src+'" type="video/mp4"></video>';
-    h+='<div class="tiktok-slide" id="tslide-'+i+'">'+vtag+'<div class="tiktok-bottom"><span class="badge badge-fpt">'+esc(cfg.name)+'</span><p class="tiktok-title">'+esc(v.title)+'</p></div><div class="tiktok-right"><button class="tiktok-right-btn" onclick="event.stopPropagation()"><div class="icon">👁</div></button><button class="tiktok-right-btn" onclick="event.stopPropagation()"><div class="icon">❤️</div></button><button class="tiktok-right-btn" onclick="event.stopPropagation();if(typeof doShareVideo===\'function\')doShareVideo(\''+esc(v.title)+'\',\''+esc(v.link||'')+'\',\''+esc(v.poster||v.img||'')+'\',\'highlights\')"><div class="icon">📤</div></button></div><span class="tiktok-counter">'+(i+1)+'/'+ordered.length+'</span></div>';
-  });
-  h+='</div></div>';el.innerHTML=h;
-  // Init feed
-  var feed=document.getElementById('tiktok-feed');if(!feed)return;
-  var slides=feed.querySelectorAll('.tiktok-slide');var cur=-1;
-  function act(i){if(i===cur)return;slides.forEach(function(sl,idx){var v=sl.querySelector('video');var fr=sl.querySelector('iframe');if(idx===i){if(v&&v.dataset.hls){if(!v._hls&&typeof Hls!=='undefined'&&Hls.isSupported()){var hls=new Hls();hls.loadSource(v.dataset.hls);hls.attachMedia(v);hls.on(Hls.Events.MANIFEST_PARSED,function(){v.play().catch(function(){});});v._hls=hls;}else if(v._hls)v.play().catch(function(){});}else if(v)v.play().catch(function(){});if(fr&&!fr.src&&fr.dataset.ytSrc)fr.src=fr.dataset.ytSrc;}else{if(v){v.pause();if(v._hls){v._hls.destroy();v._hls=null;}}if(fr&&fr.src)fr.src='';}});cur=i;}
-  var sT;feed.addEventListener('scroll',function(){clearTimeout(sT);sT=setTimeout(function(){var rect=feed.getBoundingClientRect(),ctr=rect.top+rect.height/2,best=-1,bestD=1e9;slides.forEach(function(sl,i){var d=Math.abs(sl.getBoundingClientRect().top+sl.getBoundingClientRect().height/2-ctr);if(d<bestD){bestD=d;best=i;}});if(best>=0)act(best);},150);});
-  setTimeout(function(){act(0);},400);
-  slides.forEach(function(sl){var v=sl.querySelector('video');if(v)v.addEventListener('click',function(e){e.preventDefault();v.paused?v.play().catch(function(){}):v.pause();});});
-};
-
-// === Block slow YouTube refresh on first load ===
-var _origFetch=window.fetch,_allowRefresh=false;
-window.fetch=function(url,opts){try{if(String(url).indexOf('/api/shorts?refresh=1')>-1&&!_allowRefresh)url='/api/shorts';}catch(e){}return _origFetch.call(this,url,opts);};
-setTimeout(function(){_allowRefresh=true;},8000);
-})();
-</script>
-'''
-
-# ============================================================
-# ROOT ROUTE: inject order matters
-# ============================================================
-@app.get('/')
-async def _index():
-    html = f5.f4.f3.f2.f1._load_index_html()
-    # Inject order: PRE_KILL (in UNIFIED) → old injects → PATCH_INJECT → UNIFIED
-    body = ''
-    body += getattr(rt.old,'PATCH_INJECT','')
-    body += f5.f4.f3.f2.f1.FINAL_INJECT + f5.f4.f3.FINAL3_INJECT + f5.f4.FINAL4_INJECT + f5.FINAL5_INJECT
-    body += getattr(f6,'FINAL6_INJECT','')
-    body += getattr(f6,'FINAL6_FAST_HOME_INJECT','')
-    body += getattr(f6,'FINAL6E_INJECT','')  # Keep it — our PRE_KILL in UNIFIED neutralizes its destructive parts
-    body += PATCH_INJECT
-    body += UNIFIED_INJECT  # This goes LAST and contains PRE_KILL at the TOP (runs first in browser)
-    return HTMLResponse(html.replace('</body>', body + '\n</body>') if '</body>' in html else html + body)

app_run.py

@@ -1,221 +0,0 @@
-"""Wrapper: hashtag via Google News with pagination, strict relevance, load more."""
-from app_final import *
-from app_final import app, f6, f5, rt, PATCH_INJECT, UNIFIED_INJECT_FIXED, HIGHLIGHT_FULL_OVERRIDE, EXTRA_WALL_FIX
-from fastapi.responses import HTMLResponse, JSONResponse
-from fastapi import Query, Request
-import requests as req
-from urllib.parse import quote
-from bs4 import BeautifulSoup
-import re, html as html_lib
-
-def _clean(s):return re.sub(r"\s+"," ",html_lib.unescape(str(s or ""))).strip()
-
-def _follow_redirect(url):
-    try:
-        r=req.head(url,allow_redirects=True,timeout=10,headers={'User-Agent':'Mozilla/5.0'})
-        return r.url
-    except:
-        try:r=req.get(url,allow_redirects=True,timeout=10,headers={'User-Agent':'Mozilla/5.0'},stream=True);u=r.url;r.close();return u
-        except:return url
-
-def _scrape_any_article(url):
-    if 'news.google.com' in url or 'google.com/rss' in url:url=_follow_redirect(url)
-    try:
-        r=req.get(url,headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36','Accept-Language':'vi-VN,vi;q=0.9,en;q=0.8'},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','noscript','iframe']):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 '') or (soup.title.get_text(strip=True) if soup.title else '')
-        ogd=soup.find('meta',property='og:description') or soup.find('meta',attrs={'name':'description'})
-        summary=ogd.get('content','') if ogd else ''
-        ogi=soup.find('meta',property='og:image') or soup.find('meta',attrs={'name':'twitter:image'})
-        og_image=ogi.get('content','') if ogi else ''
-        if og_image and og_image.startswith('//'):og_image='https:'+og_image
-        selectors=['article','main','.article-content','.detail-content','.singular-content','.fck_detail','.content-detail','.entry-content','.story-body','.knc-content','.cms-body']
-        block=None
-        for sel in selectors:
-            el=soup.select_one(sel)
-            if el and len(el.find_all('p'))>=2:block=el;break
-        if not block:
-            best=None;best_score=0
-            for el in soup.find_all(['article','main','section','div']):
-                ps=el.find_all('p');score=len(ps)*100+sum(len(p.get_text())for p in ps[:10])
-                if score>best_score:best=el;best_score=score
-            block=best or soup.body or soup
-        body=[]
-        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 len(t)>30:body.append({'type':'p','text':t})
-            elif el.name in ('h2','h3'):
-                t=_clean(el.get_text(' ',strip=True))
-                if t:body.append({'type':'heading','text':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('data-original') or im.get('src') or ''
-                    if src and 'base64' not in src:
-                        if src.startswith('//'):src='https:'+src
-                        body.append({'type':'img','src':src})
-        if not body and summary:body=[{'type':'p','text':summary}]
-        return {'title':_clean(title),'summary':_clean(summary),'og_image':og_image,'body':body[:50],'source':'generic','url':url}
-    except:return None
-
-def _google_news_search_all(topic, limit=30):
-    """Get ALL results from Google News RSS for a topic — no filtering here, filter in endpoint."""
-    items=[]
-    try:
-        url='https://news.google.com/rss/search?q='+quote(topic)+'&hl=vi&gl=VN&ceid=VN:vi'
-        r=req.get(url,headers={'User-Agent':'Mozilla/5.0'},timeout=10);r.encoding='utf-8'
-        soup=BeautifulSoup(r.text,'xml')
-        for it in soup.find_all('item')[:limit]:
-            title=_clean(it.find('title').get_text(' ',strip=True) if it.find('title') else '')
-            link=_clean(it.find('link').get_text(strip=True) if it.find('link') else '')
-            src=_clean(it.find('source').get_text(' ',strip=True) if it.find('source') else '')
-            pub=_clean(it.find('pubDate').get_text(strip=True) if it.find('pubDate') else '')
-            if not title or not link:continue
-            items.append({'title':title,'url':link,'via':src,'snippet':'','pubDate':pub})
-    except:pass
-    return items
-
-def _filter_relevant(items, topic):
-    """Strict filter: topic keywords MUST appear in title."""
-    topic_lower=topic.lower()
-    topic_words=[w for w in re.findall(r'[A-Za-zÀ-ỹ0-9]+',topic_lower) if len(w)>2]
-    filtered=[]
-    for s in items:
-        title_lower=s.get('title','').lower()
-        # Whole phrase match OR majority of words match
-        if topic_lower in title_lower:
-            filtered.append(s);continue
-        if topic_words:
-            match=sum(1 for w in topic_words if w in title_lower)
-            if match>=len(topic_words)*0.6:
-                filtered.append(s)
-    return filtered
-
-# Override endpoints
-app.router.routes=[r for r in app.router.routes if not (
-    (getattr(r,'path',None)=='/api/hashtag/sources' and 'GET' in getattr(r,'methods',set())) or
-    (getattr(r,'path',None)=='/api/article' and 'GET' in getattr(r,'methods',set())) or
-    (getattr(r,'path',None)=='/' and 'GET' in getattr(r,'methods',set()))
-)]
-
-@app.get('/api/article')
-def _article_universal(url:str=Query(...)):
-    data=_scrape_any_article(url)
-    if data and data.get('body'):return JSONResponse(data)
-    from main import scrape_vne_article,scrape_bbc_article,scrape_dantri_article,scrape_genk_article,scrape_ttvh_article
-    if 'vnexpress.net' in url:d=scrape_vne_article(url)
-    elif 'bbc.com' in url:d=scrape_bbc_article(url)
-    elif 'dantri.com.vn' in url:d=scrape_dantri_article(url)
-    elif 'genk.vn' in url:d=scrape_genk_article(url)
-    elif 'thethaovanhoa.vn' in url:d=scrape_ttvh_article(url)
-    else:d=None
-    if d and d.get('body'):return JSONResponse(d)
-    return JSONResponse({'error':'Không đọc được bài viết','url':url})
-
-@app.get('/api/hashtag/sources')
-def _hashtag_paged(topic:str=Query(...),page:int=Query(default=0)):
-    """Google News search with pagination. page=0 returns first 6, page=1 returns next 6, etc."""
-    all_items=_google_news_search_all(topic,30)
-    filtered=_filter_relevant(all_items,topic)
-    # If strict filter too harsh, fallback to all
-    if len(filtered)<3:filtered=all_items
-    per_page=6;start=page*per_page;end=start+per_page
-    page_items=filtered[start:end]
-    has_more=end<len(filtered)
-    return JSONResponse({'sources':page_items,'topic':topic,'page':page,'has_more':has_more,'total':len(filtered)})
-
-FAST_HASHTAG_JS = r'''
-<style>
-.hashtag-loading{display:flex;align-items:center;gap:8px;padding:12px;color:#888;font-size:12px}
-.hashtag-spinner{width:16px;height:16px;border:2px solid #333;border-top-color:#5cb87a;border-radius:50%;animation:ht-spin .8s linear infinite}
-@keyframes ht-spin{to{transform:rotate(360deg)}}
-.hashtag-load-more{width:100%;margin-top:8px;background:#222;border:1px solid #333;color:#ccc;padding:9px;border-radius:10px;font-size:12px;cursor:pointer}.hashtag-load-more:active{opacity:.7}
-</style>
-<script>
-(function(){
-function esc(s){return String(s||'').replace(/[&<>"']/g,function(m){return{'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]});}
-var _htPage=0,_htTopic='',_htImgIdx=0;
-
-window.readArticle=async function(url){
-  showView('view-article');var el=document.getElementById('view-article');el.innerHTML='<div class="loading">Đang tải...</div>';
-  try{var r=await fetch('/api/article?url='+encodeURIComponent(url));var data=await r.json();
-    if(data&&!data.error&&data.body&&data.body.length){window._currentArticle={url:url,data:data};var h='<button class="back-btn" onclick="switchCat(\'home\')">← Quay lại</button><div class="article-view"><h1 class="article-title">'+esc(data.title)+'</h1>';if(data.summary)h+='<div class="article-summary">'+esc(data.summary)+'</div>';var seen={};data.body.forEach(function(b){if(b.type==='p')h+='<p class="article-p">'+b.text+'</p>';else if(b.type==='img'&&b.src&&!seen[b.src]){seen[b.src]=1;h+='<img class="article-img" src="'+esc(b.src)+'" onerror="this.style.display=\'none\'">';}else if(b.type==='heading')h+='<h2 class="article-h2">'+esc(b.text)+'</h2>';});h+='<div class="article-actions"><button class="primary" onclick="doRewriteArticle(this)">🤖 Rewrite AI đăng tường</button><button onclick="doShare(\''+esc(data.title)+'\',\''+esc(url)+'\',\''+esc(data.og_image||'')+'\')">📤</button><button onclick="window.open(\''+esc(url)+'\',\'_blank\')">🔗 Gốc</button></div><div class="article-ai-ask"><h3 style="font-size:14px;color:#5cb87a">🤖 Hỏi AI</h3><textarea id="article-ai-question" placeholder="Hỏi..."></textarea><button onclick="askArticleAI()">Hỏi</button><div id="article-ai-answer" class="article-ai-answer"></div></div></div>';el.innerHTML=h;window.scrollTo(0,0);return;}}catch(e){}
-  el.innerHTML='<button class="back-btn" onclick="switchCat(\'home\')">← Quay lại</button><div class="loading"><p>Không đọc được.</p><a href="'+esc(url)+'" target="_blank" style="color:#5cb87a">Mở gốc →</a></div>';
-};
-window.doRewriteArticle=async function(btn){var url=(window._currentArticle&&window._currentArticle.url)||'';if(!url){alert('Không có URL');return;}var ctx=document.querySelector('.article-view')?.innerText?.slice(0,14000)||'';btn.disabled=true;btn.textContent='Đang rewrite...';try{var r=await fetch('/api/rewrite_share',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url:url,context:ctx})});var j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');alert('Đã đăng Tường AI!');}catch(e){alert(e.message);}finally{btn.disabled=false;btn.textContent='🤖 Rewrite AI đăng tường';}};
-window.askArticleAI=async function(){var q=document.getElementById('article-ai-question')?.value.trim();if(!q)return alert('Nhập câu hỏi');var a=document.getElementById('article-ai-answer');a.textContent='Đang hỏi...';var url=(window._currentArticle&&window._currentArticle.url)||'';var ctx=document.querySelector('.article-view')?.innerText?.slice(0,12000)||'';try{var r=await fetch('/api/article/ask',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url:url,question:q,context:ctx})});var j=await r.json();a.textContent=j.answer||'Không trả lời được';}catch(e){a.textContent='Lỗi: '+e.message}};
-
-function renderSources(sources,append){
-  var list=document.getElementById('hashtag-src-list');if(!list)return;
-  var h='';
-  sources.forEach(function(s){
-    var idx=_htImgIdx++;
-    h+='<div class="hashtag-src-item" onclick="readArticle(\''+esc(s.url||'')+'\')">';
-    h+='<div class="hashtag-src-img" id="ht-img-'+idx+'"></div>';
-    h+='<div class="hashtag-src-text"><div class="hashtag-src-title">'+esc(s.title)+'</div><div class="hashtag-src-via">'+esc(s.via||'')+(s.pubDate?' · '+esc(s.pubDate.split(',')[0]||''):'')+'</div></div>';
-    h+='</div>';
-    // Lazy load image
-    setTimeout(function(){fetch('/api/article?url='+encodeURIComponent(s.url)).then(function(r){return r.json()}).then(function(d){if(d&&(d.og_image||d.img)){var el=document.getElementById('ht-img-'+idx);if(el)el.innerHTML='<img src="'+esc(d.og_image||d.img)+'" onerror="this.style.display=\'none\'" loading="lazy">';}}).catch(function(){});},idx*500);
-  });
-  if(append)list.insertAdjacentHTML('beforeend',h);else list.innerHTML=h;
-}
-
-window.showHashtagSources=async function(topic){
-  _htTopic=topic;_htPage=0;_htImgIdx=0;
-  var home=document.getElementById('view-home');if(!home)return;
-  document.getElementById('hashtag-sources-box')?.remove();
-  var box=document.createElement('div');box.id='hashtag-sources-box';box.className='hashtag-sources';
-  box.innerHTML='<h3>🔍 '+esc(topic)+'</h3><div class="hashtag-loading"><div class="hashtag-spinner"></div>Đang tìm bài viết mới nhất...</div>';
-  var compose=home.querySelector('.ai-compose');
-  if(compose)compose.after(box);else home.prepend(box);
-  box.scrollIntoView({behavior:'smooth',block:'start'});
-  try{
-    var r=await fetch('/api/hashtag/sources?topic='+encodeURIComponent(topic)+'&page=0');
-    var j=await r.json();var sources=j.sources||[];
-    if(!sources.length){box.innerHTML='<h3>🔍 '+esc(topic)+'</h3><div style="color:#888;font-size:12px;padding:8px">Không tìm được bài viết liên quan</div>';return;}
-    var h='<h3>🔍 '+esc(topic)+' <span style="font-size:10px;color:#888">('+j.total+' bài mới nhất từ Google News)</span></h3>';
-    h+='<div id="hashtag-src-list"></div>';
-    h+='<button class="hashtag-rewrite-btn" onclick="rewriteHashtagTopic(\''+esc(topic)+'\')">🤖 Rewrite AI tổng hợp & đăng tường</button>';
-    if(j.has_more)h+='<button class="hashtag-load-more" id="ht-load-more" onclick="loadMoreSources()">Tải thêm bài viết ▼</button>';
-    box.innerHTML=h;
-    renderSources(sources,false);
-  }catch(e){box.innerHTML='<h3>🔍 '+esc(topic)+'</h3><div style="color:#e74c3c;font-size:12px;padding:8px">Lỗi: '+esc(e.message)+'</div>';}
-};
-
-window.loadMoreSources=async function(){
-  _htPage++;var btn=document.getElementById('ht-load-more');
-  if(btn){btn.textContent='Đang tải...';btn.disabled=true;}
-  try{
-    var r=await fetch('/api/hashtag/sources?topic='+encodeURIComponent(_htTopic)+'&page='+_htPage);
-    var j=await r.json();var sources=j.sources||[];
-    renderSources(sources,true);
-    if(!j.has_more&&btn)btn.remove();
-    else if(btn){btn.textContent='Tải thêm bài viết ▼';btn.disabled=false;}
-  }catch(e){if(btn){btn.textContent='Lỗi, thử lại';btn.disabled=false;}}
-};
-
-window.rewriteHashtagTopic=async function(topic){var btn=event?.target;if(btn){btn.disabled=true;btn.textContent='Đang tổng hợp...';}try{var r=await fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic:topic})});var j=await r.json();if(!r.ok||j.error)throw new Error(j.error||'Lỗi');if(btn)btn.textContent='✅ Đã đăng!';setTimeout(function(){document.getElementById('hashtag-sources-box')?.remove();},2000);}catch(e){if(btn){btn.disabled=false;btn.textContent='❌ '+e.message;}}};
-window.createTopicPost=function(){var inp=document.getElementById('ai-topic-input');var topic=(inp&&inp.value||'').trim();if(!topic){alert('Nhập chủ đề');return;}showHashtagSources(topic);if(inp)inp.value='';};
-window.createTopicPostFinal5=function(){var inp=document.getElementById('ai-topic-input-final5')||document.getElementById('ai-topic-input');var topic=(inp&&inp.value||'').trim();if(!topic){alert('Nhập chủ đề');return;}showHashtagSources(topic);if(inp)inp.value='';};
-})();
-</script>
-'''
-
-@app.get('/')
-async def _index_run():
-    html=f5.f4.f3.f2.f1._load_index_html()
-    body=''
-    body+=getattr(rt.old,'PATCH_INJECT','')
-    body+=f5.f4.f3.f2.f1.FINAL_INJECT+f5.f4.f3.FINAL3_INJECT+f5.f4.FINAL4_INJECT+f5.FINAL5_INJECT
-    body+=getattr(f6,'FINAL6_INJECT','')
-    body+=getattr(f6,'FINAL6_FAST_HOME_INJECT','')
-    body+=getattr(f6,'FINAL6E_INJECT','')
-    body+=PATCH_INJECT
-    body+=UNIFIED_INJECT_FIXED
-    body+=HIGHLIGHT_FULL_OVERRIDE
-    body+=EXTRA_WALL_FIX
-    body+=FAST_HASHTAG_JS
-    return HTMLResponse(html.replace('</body>',body+'\n</body>') if '</body>' in html else html+body)

app_v2_entry.py

@@ -1,736 +0,0 @@
-"""VNEWS v2 Entry Point - with fast bongda proxy"""
-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}")
-
-from fastapi.responses import HTMLResponse, JSONResponse, FileResponse, Response
-from fastapi.staticfiles import StaticFiles
-from starlette.routing import Mount
-from fastapi import Query, Request
-import requests as req
-from bs4 import BeautifulSoup
-import re, html as html_lib, json, threading, time
-from concurrent.futures import ThreadPoolExecutor, as_completed
-from urllib.parse import quote
-
-HL_LEAGUES['friendly'] = {"path": "giai-khac/friendly", "name": "Giao hữu", "emoji": "🤝"}
-
-STATIC_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'static')
-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()
-
-# Cache for match details (5 min TTL)
-_match_cache = {}
-
-# === FAST BONGDA PROXY ENDPOINT ===
-def _get_match_detail(event_id, slug=None):
-    """Internal function to scrape match detail from bongda.com.vn"""
-    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)):
-    # Try to extract slug from url if provided
-    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 no slug, try to find it from homepage
-        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})
-
-# === Rest of endpoints (existing) ===
-_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 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_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]
-
-app.router.routes=[r for r in app.router.routes if not(getattr(r,'path',None)=='/api/article' and 'GET' in getattr(r,'methods',set()))]
-
-def _scrape_generic(url):
-    try:
-        r=req.get(url,headers={'User-Agent':'Mozilla/5.0','Accept-Language':'vi-VN,vi;q=0.9'},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','noscript']):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 '')
-        ogd=soup.find('meta',property='og:description');summary=ogd.get('content','') if ogd 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
-        body=[]
-        for el in block.find_all(['p','h2','h3','figure','img'],recursive=True):
-            if el.name=='p':t=el.get_text(strip=True);(body.append({'type':'p','text':t}) if t and len(t)>30 else None)
-            elif el.name in('h2','h3'):t=el.get_text(strip=True);(body.append({'type':'heading','text':t}) if t else None)
-            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'';(body.append({'type':'img','src':'https:'+src if src.startswith('//') else src}) if src and'base64' not in src else None)
-        if not body and summary:body=[{'type':'p','text':summary}]
-        return{'title':_clean(title),'summary':_clean(summary),'og_image':og_img,'body':body[:50],'source':'generic','url':url}
-    except:return None
-
-@app.get('/api/article')
-def api_article_v2(url:str=Query(...)):
-    from main import scrape_vne_article,scrape_bbc_article,scrape_dantri_article,scrape_genk_article,scrape_ttvh_article
-    if 'vnexpress.net' in url:data=scrape_vne_article(url)
-    elif 'bbc.com' in url:data=scrape_bbc_article(url)
-    elif 'dantri.com.vn' in url:data=scrape_dantri_article(url)
-    elif 'genk.vn' in url:data=scrape_genk_article(url)
-    elif 'thethaovanhoa.vn' in url:data=scrape_ttvh_article(url)
-    else:data=_scrape_generic(url)
-    if data and data.get('body'):return JSONResponse(data)
-    return JSONResponse(data if data else{'error':'Không đọc được','url':url})
-
-_hot_cache={'t':0,'d':[]}
-def _get_hot_topics():
-    now=time.time()
-    if _hot_cache['d'] and now-_hot_cache['t']<600:return _hot_cache['d']
-    freq={};display={}
-    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']
-    for feed_url in feeds:
-        try:
-            r=req.get(feed_url,headers={'User-Agent':'Mozilla/5.0'},timeout=6);r.encoding='utf-8';soup=BeautifulSoup(r.text,'xml')
-            for item in soup.find_all('item')[:12]:
-                title=_clean(item.find('title').get_text() if item.find('title') else '')
-                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
-        except:continue
-    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():return JSONResponse({'topics':_get_hot_topics()})
-@app.get('/')
-async def serve_index():
-    p=os.path.join(STATIC_DIR,'index_v3.html')
-    if os.path.exists(p):return FileResponse(p,media_type='text/html')
-    p2=os.path.join(STATIC_DIR,'index_v2.html')
-    if os.path.exists(p2):return FileResponse(p2,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():return JSONResponse([])
-@app.get('/api/storage_status')
-def _st():return JSONResponse({'persistent':os.path.isdir('/data') and os.access('/data',os.W_OK)})
-@app.get('/s')
-async def _sh(url:str='',title:str='',img:str=''):return HTMLResponse(f'<!DOCTYPE html><html><head><meta property="og:title" content="{_clean(title)}"><meta property="og:image" content="{_clean(img)}"><meta http-equiv="refresh" content="0;url={_clean(url) or "/"}"></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)
-@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')
-_il=threading.Lock();_cl=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})
-
-# ============================================================
-# TEAM STATS — scrape bongda.com.vn /doi-bong/ page, render inline
-# ============================================================
-def _scrape_team_page(team_path):
-    """Scrape team stats from bongda.com.vn team page."""
-    url = f"https://bongda.com.vn/doi-bong/{team_path}"
-    headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36", "Accept": "text/html", "Referer": "https://bongda.com.vn/"}
-    try:
-        r = req.get(url, headers=headers, timeout=15, allow_redirects=True)
-        if r.status_code != 200:
-            return None
-        soup = BeautifulSoup(r.text, 'html.parser')
-    except:
-        return None
-
-    team = {"name": "", "logo": "", "league": "", "country": "", "stats": {}, "recent": [], "squad": [], "found": False}
-
-    h1 = soup.select_one('h1')
-    if h1:
-        team['name'] = _clean(h1.get_text())
-        team['found'] = True
-
-    logo_el = soup.select_one('.team-logo img, .club-logo img, img.team-logo, .team-header img')
-    if logo_el:
-        team['logo'] = logo_el.get('src', '')
-
-    info_el = soup.select_one('.team-info, .club-info, .team-header')
-    if info_el:
-        txt = info_el.get_text()
-        if 'việt nam' in txt.lower() or 'vietnam' in txt.lower():
-            team['country'] = 'Việt Nam'
-
-    for li in soup.select('li.match-detail, .match-list .match-item, .recent-matches li'):
-        home_el = li.select_one('.home-team .name, .team-home')
-        away_el = li.select_one('.away-team .name, .team-away')
-        if not home_el or not away_el:
-            continue
-        home = _clean(home_el.get_text())
-        away = _clean(away_el.get_text())
-        status_el = li.select_one('.status a, .score')
-        score = ""
-        event_id = ""
-        match_url = ""
-        if status_el:
-            href = status_el.get('href', '')
-            if href:
-                match_url = 'https://bongda.com.vn' + href if href.startswith('/') else href
-                m = re.search(r'/tran-dau/(\d+)/', href)
-                if m:
-                    event_id = m.group(1)
-            spans = status_el.find_all('span')
-            if len(spans) >= 3:
-                score = f"{spans[0].get_text(strip=True)} - {spans[2].get_text(strip=True)}"
-            elif status_el.select_one('.vs'):
-                score = 'VS'
-        time_el = li.select_one('.match-time, .time, .date')
-        mt = _clean(time_el.get_text()) if time_el else ''
-        team['recent'].append({
-            'home': home, 'away': away, 'score': score, 'time': mt,
-            'event_id': event_id, 'url': match_url
-        })
-        if len(team['recent']) >= 10:
-            break
-
-    standings_rows = []
-    for tr in soup.select('.standings-table tr, .league-table tr, table tbody tr'):
-        cells = tr.select('td')
-        if len(cells) >= 5:
-            pos = _clean(cells[0].get_text())
-            tname = _clean(cells[1].get_text()) if len(cells) > 1 else ''
-            played = _clean(cells[2].get_text()) if len(cells) > 2 else ''
-            gd = _clean(cells[3].get_text()) if len(cells) > 3 else ''
-            pts = _clean(cells[4].get_text()) if len(cells) > 4 else ''
-            if pos and tname and pos.isdigit():
-                standings_rows.append({'pos': pos, 'team': tname, 'played': played, 'gd': gd, 'pts': pts})
-    if standings_rows:
-        team['standings'] = standings_rows
-
-    for p in soup.select('.player-item, .squad-item, .player-card'):
-        pname_el = p.select_one('.player-name, .name, h3, h4')
-        pname = _clean(pname_el.get_text()) if pname_el else ''
-        if not pname:
-            continue
-        ppos_el = p.select_one('.position, .pos, .player-pos')
-        ppos = _clean(ppos_el.get_text()) if ppos_el else ''
-        team['squad'].append({'name': pname, 'position': ppos})
-
-    breadcrumb = soup.select_one('.breadcrumb, .breadcrumbs')
-    if breadcrumb:
-        for a in breadcrumb.select('a'):
-            lt = _clean(a.get_text())
-            if lt and lt.lower() != 'trang chủ':
-                team['league'] = lt
-                break
-
-    return team
-
-
-@app.get("/api/team/{path:path}")
-async def api_team_stats(path: str):
-    data = _scrape_team_page(path)
-    if data and data.get('found'):
-        return JSONResponse(data)
-    return JSONResponse({"found": False, "error": "Không tìm thấy đội bóng"})
-
-
-def _render_team_page(path: str):
-    """Render full HTML team stats page."""
-    data = _scrape_team_page(path)
-    if not data or not data.get('found'):
-        from fastapi.responses import RedirectResponse
-        return RedirectResponse(f"https://bongda.com.vn/doi-bong/{path}", status_code=302)
-
-    team = data
-    name = _clean(team.get('name') or 'Đội bóng')
-    logo = _clean(team.get('logo') or '')
-    league = _clean(team.get('league') or '')
-    country = _clean(team.get('country') or '')
-
-    recent_html = ''
-    if team.get('recent'):
-        for m in team['recent'][:10]:
-            eid = _clean(m.get('event_id', ''))
-            murl = _clean(m.get('url', ''))
-            sc = _clean(m.get('score', 'VS'))
-            mt = _clean(m.get('time', ''))
-            home = _clean(m.get('home', ''))
-            away = _clean(m.get('away', ''))
-            onclick = f'onclick="openMatch(\'{eid}\',\'{murl}\')"' if eid else ''
-            recent_html += f'<div class="tm-match" {onclick} style="cursor:pointer">'
-            recent_html += f'<span class="tm-match-time">{mt}</span>'
-            recent_html += f'<span class="tm-match-teams">{home} <span class="tm-score">{sc}</span> {away}</span>'
-            recent_html += '</div>'
-
-    standings_html = ''
-    if team.get('standings'):
-        standings_html = '<table class="tm-standings"><thead><tr><th>#</th><th>Đội</th><th>Trận</th><th>HS</th><th>Điểm</th></tr></thead><tbody>'
-        for row in team['standings']:
-            pos = _clean(row.get('pos', ''))
-            tname = _clean(row.get('team', ''))
-            played = _clean(row.get('played', ''))
-            gd = _clean(row.get('gd', ''))
-            pts = _clean(row.get('pts', ''))
-            highlight = ' class="tm-highlight"' if name and tname and name.lower()[:6] in tname.lower()[:6] else ''
-            standings_html += f'<tr{highlight}><td>{pos}</td><td>{tname}</td><td>{played}</td><td>{gd}</td><td>{pts}</td></tr>'
-        standings_html += '</tbody></table>'
-
-    squad_html = ''
-    if team.get('squad'):
-        for p in team['squad'][:30]:
-            pnm = _clean(p.get('name', ''))
-            pps = _clean(p.get('position', ''))
-            if not pnm:
-                continue
-            squad_html += f'<div class="tm-player"><span class="tm-player-name">{pnm}</span><span class="tm-player-pos">{pps}</span></div>'
-
-    logo_html = f'<img src="{logo}" class="tm-logo" alt="{name}" onerror="this.style.display=\'none\'">' if logo else ''
-
-    sections_html = ''
-    sections_html += '<div class="tm-section"><div class="tm-section-title">📋 Trận đấu gần nhất</div>'
-    sections_html += recent_html or '<div class="tm-nodata">Không có dữ liệu trận đấu</div>'
-    sections_html += '</div>'
-
-    if standings_html:
-        sections_html += '<div class="tm-section"><div class="tm-section-title">🏆 Bảng xếp hạng</div>' + standings_html + '</div>'
-
-    if squad_html:
-        sections_html += '<div class="tm-section"><div class="tm-section-title">👥 Đội hình</div><div>' + squad_html + '</div></div>'
-
-    html = f'''<!DOCTYPE html>
-<html lang="vi">
-<head>
-<meta charset="utf-8">
-<meta name="viewport" content="width=device-width,initial-scale=1">
-<title>⚽ {name} — Thống kê | VNEWS</title>
-<meta property="og:title" content="⚽ {name} — Thống kê | VNEWS">
-<style>
-*{{margin:0;padding:0;box-sizing:border-box}}body{{background:#0d1117;color:#e0e0e0;font-family:-apple-system,BlinkMacSystemFont,Segoe UI,Roboto,sans-serif}}
-.tm-header{{background:linear-gradient(135deg,#1a2a1f,#0d1117);border-bottom:2px solid #2d8659;padding:16px;text-align:center}}
-.tm-top{{display:flex;align-items:center;justify-content:center;gap:12px;flex-wrap:wrap}}
-.tm-logo{{width:64px;height:64px;object-fit:contain;border-radius:50%;border:3px solid #2d8659;background:#111}}
-.tm-name{{font-size:24px;font-weight:900;color:#fff}}
-.tm-badge{{font-size:12px;color:#888;margin-top:4px}}
-.tm-badge span{{background:#1a2a1f;color:#5cb87a;padding:2px 8px;border-radius:4px;margin:0 2px}}
-.tm-nav{{background:#161b22;padding:8px 16px;display:flex;gap:8px;align-items:center;border-bottom:1px solid #21262d}}
-.tm-nav a{{color:#5cb87a;text-decoration:none;font-size:13px}}
-.tm-nav a:hover{{text-decoration:underline}}
-.tm-container{{max-width:900px;margin:0 auto;padding:16px}}
-.tm-section{{margin-bottom:20px}}
-.tm-section-title{{font-size:14px;font-weight:800;color:#5cb87a;margin-bottom:8px;padding-bottom:6px;border-bottom:1px solid #21262d}}
-.tm-match{{display:flex;align-items:center;gap:10px;padding:10px 12px;background:#161b22;border-radius:6px;margin-bottom:4px;font-size:13px;border:1px solid #21262d;transition:background .2s}}
-.tm-match:hover{{background:#1c2128;border-color:#2d8659}}
-.tm-match-time{{font-size:11px;color:#888;min-width:60px}}
-.tm-match-teams{{flex:1;color:#e0e0e0}}
-.tm-score{{color:#f0c040;font-weight:800}}
-.tm-standings{{width:100%;border-collapse:collapse;font-size:13px}}
-.tm-standings th{{background:#1a2a1f;color:#5cb87a;padding:8px;text-align:left;font-size:11px;border-bottom:1px solid #2d8659}}
-.tm-standings td{{padding:8px;border-bottom:1px solid #21262d}}
-.tm-standings tr:hover td{{background:#161b22}}
-.tm-highlight td{{background:#1a2a1f;border-left:3px solid #5cb87a}}
-.tm-player{{display:inline-flex;align-items:center;gap:6px;background:#161b22;padding:5px 10px;border-radius:5px;margin:3px;font-size:12px;border:1px solid #21262d}}
-.tm-player-name{{color:#e0e0e0}}
-.tm-player-pos{{color:#888;font-size:10px}}
-.tm-back{{display:inline-block;margin-bottom:12px;color:#5cb87a;text-decoration:none;font-size:14px}}
-.tm-back:hover{{text-decoration:underline}}
-.tm-nodata{{text-align:center;color:#666;padding:20px;font-size:13px}}
-</style>
-</head>
-<body>
-<div class="tm-header"><div class="tm-top">{logo_html}<div><div class="tm-name">⚽ {name}</div><div class="tm-badge">{league and f"<span>🏆 {league}</span>"}{country and f"<span>📍 {country}</span>"}<span>📡 VNEWS</span></div></div></div></div>
-<div class="tm-nav"><a href="/" class="tm-back">← Quay về VNEWS</a> <a href="https://bongda.com.vn/doi-bong/{path}" target="_blank">Xem trên Bongda.com.vn ↗</a></div>
-<div class="tm-container">{sections_html}</div>
-<script>function openMatch(id,url){{if(!id)return;window.location.href='/?match='+id+(url?'&url='+encodeURIComponent(url):'');}}</script>
-</body></html>'''
-    return HTMLResponse(html)
-
-
-@app.get("/doi-bong/{path:path}")
-async def page_team_stats(path: str):
-    return _render_team_page(path)
-
-
-@app.get("/giai-dau/{path:path}")
-async def page_league_internal(path: str):
-    from fastapi.responses import RedirectResponse
-    return RedirectResponse(f"https://bongda.com.vn/giai-dau/{path}", status_code=302)
-
-
-@app.get("/cau-thu/{path:path}")
-async def redirect_cau_thu(path: str):
-    from fastapi.responses import RedirectResponse
-    return RedirectResponse(f"https://bongda.com.vn/cau-thu/{path}", status_code=302)
-
-def _bg():
-    time.sleep(15)
-    while True:
-        try:get_wc2026_all()
-        except:pass
-        time.sleep(90)
-threading.Thread(target=_bg,daemon=True).start()
-
-app.mount('/static',StaticFiles(directory=STATIC_DIR),name='vnews_static')

app_v2_entry_test.py

@@ -1,16 +0,0 @@
-"""
-VNEWS App v2 - Main application with match detail API
-"""
-import os, json, re, time, asyncio, hashlib, logging, threading, importlib, sys
-from datetime import datetime, timezone, timedelta
-from pathlib import Path
-from typing import Optional
-
-import httpx
-import requests
-from fastapi import FastAPI, HTTPException, Query
-from fastapi.responses import JSONResponse, FileResponse, HTMLResponse
-from fastapi.staticfiles import StaticFiles
-from fastapi.templating import Jinja2Templates
-
-# ... (rest of app_v2_entry.py content)

app_v2_entry_v2.py

@@ -1,16 +0,0 @@
-"""
-VNEWS App v2 - Main application with match detail API
-"""
-import os, json, re, time, asyncio, hashlib, logging, threading, importlib
-from datetime import datetime, timezone, timedelta
-from pathlib import Path
-from typing import Optional
-
-import httpx
-import requests
-from fastapi import FastAPI, HTTPException, Query
-from fastapi.responses import JSONResponse, FileResponse, HTMLResponse
-from fastapi.staticfiles import StaticFiles
-from fastapi.templating import Jinja2Templates
-
-# ... (rest of app_v2_entry.py content)

patch_extra.py

@@ -1,50 +0,0 @@
-"""Extra CSS/JS fixes injected AFTER main PATCH_INJECT."""
-EXTRA_FIX = r'''
-<style>
-/* Force correct position for Short AI interaction buttons */
-.tiktok-slide{position:relative!important}
-.tiktok-right{position:absolute!important;right:8px!important;bottom:100px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;z-index:5!important}
-.tiktok-right-btn{display:flex!important;flex-direction:column!important;align-items:center!important;gap:2px!important;background:none!important;border:0!important;color:#fff!important;font-size:10px!important;cursor:pointer!important}
-.tiktok-right-btn .icon{width:42px!important;height:42px!important;border-radius:50%!important;background:rgba(255,255,255,.12)!important;display:flex!important;align-items:center!important;justify-content:center!important;font-size:20px!important}
-.tiktok-right-btn .count{font-size:10px!important;color:#ddd!important}
-#short-progress-toast{position:fixed;bottom:70px;left:50%;transform:translateX(-50%);background:#2d8659;color:#fff;padding:10px 20px;border-radius:20px;font-size:12px;z-index:99998;box-shadow:0 4px 12px rgba(0,0,0,.4);display:none;white-space:nowrap}
-/* Kill ALL duplicate short AI slides from old layers */
-#ai-short-home,.ai-short-home,.ai-short-card-final,[id*="ai-shorts-patched"]{display:none!important}
-</style>
-<div id="short-progress-toast"></div>
-<script>
-(function(){
-// Kill old renderers that create duplicate Short AI slides
-window.renderAIShortHome=function(){};
-window.renderAIShorts7=function(){};
-window.renderTopicWallE=function(){};
-window.renderAiShorts=function(){};
-// Also remove any already-rendered duplicate slides
-setInterval(function(){
-  document.querySelectorAll('#ai-short-home,.ai-short-home,[id*="ai-shorts-patched"]').forEach(function(el){el.remove()});
-},2000);
-// Progress toast for short creation
-window.showShortProgress=function(msg){var t=document.getElementById('short-progress-toast');if(t){t.textContent=msg;t.style.display='block';}};
-window.hideShortProgress=function(){var t=document.getElementById('short-progress-toast');if(t)t.style.display='none';};
-// Override makeShortFromPost to use progress toast
-var _origMakeShort=window.makeShortFromPost;
-window.makeShortFromPost=async function(pid,btn){
-  showShortProgress('⏳ Đang tạo Short AI...');
-  if(btn){btn.disabled=true;btn.textContent='Đang tạo...';}
-  try{
-    var r=await fetch('/api/ai/short/'+pid,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({voice:'nu',emotion:'neutral',speed:1.2})});
-    var j=await r.json();
-    if(!r.ok||j.error)throw new Error(j.error||'Lỗi');
-    showShortProgress('✅ Đ�ã tạo Short AI!');
-    setTimeout(hideShortProgress,3000);
-    if(typeof renderShortAISlide==='function')renderShortAISlide();
-  }catch(e){
-    showShortProgress('❌ Lỗi: '+e.message);
-    setTimeout(hideShortProgress,4000);
-  }finally{
-    if(btn){btn.disabled=false;btn.textContent='🎬 Tạo Short AI';}
-  }
-};
-})();
-</script>
-'''

patch_runtime.py

@@ -1,274 +0,0 @@
-"""Runtime patch layer for VNEWS.
-Keeps the current large app intact, but replaces fragile AI wall endpoints with
-stable JSON endpoints and injects frontend safeJson wrappers.
-"""
-import hashlib
-import time
-import os
-from urllib.parse import quote
-
-import requests
-from bs4 import BeautifulSoup
-from fastapi import Request
-from fastapi.responses import JSONResponse, HTMLResponse
-
-import main as _main
-
-app = _main.app
-DEFAULT_IMG = "https://s1.vnecdn.net/vnexpress/restruct/i/v9505/logo_default.jpg"
-
-
-def _remove_routes(paths):
-    app.router.routes = [r for r in app.router.routes if getattr(r, "path", None) not in set(paths)]
-
-
-def _safe_text(v):
-    return (v or "").strip()
-
-
-def _ensure_article(url: str):
-    data = None
-    try:
-        if hasattr(_main, "_article_by_url"):
-            data = _main._article_by_url(url)
-    except Exception:
-        data = None
-    if not data:
-        try:
-            data = _main._scrape_generic_article(url) if hasattr(_main, "_scrape_generic_article") else None
-        except Exception:
-            data = None
-    if not data:
-        data = {"title": "", "summary": "", "og_image": "", "body": [], "url": url, "source": "generic"}
-    title = _safe_text(data.get("title"))
-    summary = _safe_text(data.get("summary"))
-    img = _safe_text(data.get("og_image"))
-    body = data.get("body") or []
-    if not title or not summary or not img or not body:
-        try:
-            r = requests.get(url, headers=getattr(_main, "HEADERS", {}), timeout=15)
-            r.encoding = "utf-8"
-            soup = BeautifulSoup(r.text, "lxml")
-            if not title:
-                tag = soup.find("meta", property="og:title") or soup.find("title")
-                title = tag.get("content", "").strip() if tag and tag.name == "meta" else (tag.get_text(strip=True) if tag else "")
-            if not summary:
-                tag = soup.find("meta", property="og:description") or soup.find("meta", attrs={"name": "description"})
-                summary = tag.get("content", "").strip() if tag else ""
-            if not img:
-                tag = soup.find("meta", property="og:image") or soup.find("meta", attrs={"name": "twitter:image"})
-                img = tag.get("content", "").strip() if tag else ""
-            if not body:
-                ps = []
-                for p in soup.find_all("p"):
-                    t = p.get_text(" ", strip=True)
-                    if len(t) > 40:
-                        ps.append({"type": "p", "text": t})
-                    if len(ps) >= 30:
-                        break
-                body = ps
-        except Exception:
-            pass
-    if not summary and body:
-        first = next((b.get("text", "") for b in body if b.get("type") == "p" and b.get("text")), "")
-        summary = first[:360]
-    if not title:
-        title = url
-    if not img:
-        img = DEFAULT_IMG
-    if not body and summary:
-        body = [{"type": "p", "text": summary}]
-    data.update({"title": title, "summary": summary, "og_image": img, "body": body, "url": url})
-    return data
-
-
-def _rewrite(data, tone="tu-nhien"):
-    try:
-        if hasattr(_main, "_ai_rewrite_article"):
-            text = _main._ai_rewrite_article(data, tone=tone)
-            if text and len(text.strip()) > 50:
-                return text.strip()
-    except Exception:
-        pass
-    title = data.get("title", "")
-    summary = data.get("summary", "")
-    ps = [b.get("text", "") for b in data.get("body", []) if b.get("type") == "p" and b.get("text")]
-    lead = summary or (ps[0] if ps else "")
-    points = "\n".join(["• " + p[:220] + ("..." if len(p) > 220 else "") for p in ps[:5]])
-    body = "\n\n".join(ps[:10])
-    return (f"Bản tin AI viết lại: {title}\n\n{lead}\n\n{body}\n\nĐiểm chính:\n{points}").strip()
-
-
-def _topic_image(topic):
-    try:
-        if hasattr(_main, "_image_for_topic"):
-            return _main._image_for_topic(topic)
-    except Exception:
-        pass
-    return "https://image.pollinations.ai/prompt/" + quote("editorial illustration Vietnamese news " + topic, safe="") + "?width=1024&height=576&nologo=true"
-
-
-def _save_post(post):
-    try:
-        posts = _main._load_wall() if hasattr(_main, "_load_wall") else []
-    except Exception:
-        posts = []
-    posts.insert(0, post)
-    try:
-        if hasattr(_main, "_save_wall"):
-            _main._save_wall(posts)
-    except Exception:
-        pass
-    return post
-
-
-_remove_routes(["/api/url_wall", "/api/topic_post", "/api/rewrite_share", "/"])
-
-
-@app.post("/api/url_wall")
-async def patched_url_wall(request: Request):
-    try:
-        body = await request.json()
-    except Exception:
-        body = {}
-    url = _safe_text(body.get("url"))
-    tone = _safe_text(body.get("tone")) or "tu-nhien"
-    if not url:
-        return JSONResponse({"error": "missing url"}, status_code=400)
-    try:
-        data = _ensure_article(url)
-        text = _rewrite(data, tone=tone)
-        post = {
-            "id": hashlib.md5((url + str(time.time())).encode()).hexdigest()[:12],
-            "url": url,
-            "title": data.get("title") or url,
-            "summary": data.get("summary") or "",
-            "img": data.get("og_image") or DEFAULT_IMG,
-            "text": text or (data.get("summary") or data.get("title") or url),
-            "source": data.get("source", "url"),
-            "ts": int(time.time()),
-        }
-        _save_post(post)
-        return JSONResponse({"post": post})
-    except Exception as e:
-        return JSONResponse({"error": "Không tạo được tóm tắt URL", "detail": str(e)[:300]}, status_code=500)
-
-
-@app.post("/api/rewrite_share")
-async def patched_rewrite_share(request: Request):
-    return await patched_url_wall(request)
-
-
-@app.post("/api/topic_post")
-async def patched_topic_post(request: Request):
-    try:
-        body = await request.json()
-    except Exception:
-        body = {}
-    topic = _safe_text(body.get("topic"))
-    tone = _safe_text(body.get("tone")) or "tu-nhien"
-    if not topic:
-        return JSONResponse({"error": "missing topic"}, status_code=400)
-    try:
-        context = ""
-        try:
-            if hasattr(_main, "_topic_article_context"):
-                context = _main._topic_article_context(topic)
-            if not context and hasattr(_main, "_web_context"):
-                context = _main._web_context(topic)
-        except Exception:
-            context = ""
-        if not context:
-            context = f"Chủ đề: {topic}"
-        data = {"title": topic, "summary": context[:420], "og_image": _topic_image(topic), "body": [{"type": "p", "text": context}], "source": "topic", "url": ""}
-        text = _rewrite(data, tone=tone)
-        post = {
-            "id": hashlib.md5((topic + str(time.time())).encode()).hexdigest()[:12],
-            "url": "",
-            "title": topic,
-            "summary": data["summary"],
-            "img": data["og_image"] or DEFAULT_IMG,
-            "text": text or context,
-            "source": "topic",
-            "ts": int(time.time()),
-        }
-        _save_post(post)
-        return JSONResponse({"post": post})
-    except Exception as e:
-        return JSONResponse({"error": "Không tạo được bài theo chủ đề", "detail": str(e)[:300]}, status_code=500)
-
-
-_FRONTEND_PATCH = r'''
-<script>
-(function(){
-  async function safeJson(res){
-    const text = await res.text();
-    try { return JSON.parse(text); }
-    catch(e){ return { error: (text || 'Server không trả JSON').slice(0,500) }; }
-  }
-  window.safeJson = safeJson;
-  window.createUrlPost = function(){
-    let inp=document.getElementById('ai-url-input');
-    let url=(inp&&inp.value||'').trim();
-    if(!url){ alert('Dán URL trước'); return; }
-    fetch('/api/url_wall',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url})})
-      .then(safeJson).then(j=>{
-        if(j&&j.post){
-          if(!j.post.img) j.post.img='https://s1.vnecdn.net/vnexpress/restruct/i/v9505/logo_default.jpg';
-          if(!j.post.text) j.post.text=j.post.summary||j.post.title||'Không lấy được nội dung tóm tắt.';
-          if(typeof prependWallPost==='function') prependWallPost(j.post);
-          alert('Đã tóm tắt URL và đăng lên tường');
-          if(inp) inp.value='';
-        } else alert((j&&j.error)||'Lỗi URL');
-      }).catch(e=>alert('Lỗi URL: '+e.message));
-  };
-  window.createTopicPost = function(){
-    let inp=document.getElementById('ai-topic-input');
-    let topic=(inp&&inp.value||'').trim();
-    if(!topic){ alert('Nhập chủ đề trước'); return; }
-    fetch('/api/topic_post',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({topic})})
-      .then(safeJson).then(j=>{
-        if(j&&j.post){
-          if(!j.post.img) j.post.img='https://s1.vnecdn.net/vnexpress/restruct/i/v9505/logo_default.jpg';
-          if(!j.post.text) j.post.text=j.post.summary||j.post.title||'Không lấy được nội dung.';
-          if(typeof prependWallPost==='function') prependWallPost(j.post);
-          alert('Đã tạo bài và đăng lên tường');
-          if(inp) inp.value='';
-        } else alert((j&&j.error)||'Lỗi tạo bài');
-      }).catch(e=>alert('Lỗi tạo bài: '+e.message));
-  };
-  window.rewriteCurrentArticle = function(){
-    if(!window._currentArticle && typeof _currentArticle!=='undefined') window._currentArticle=_currentArticle;
-    let ca = (typeof _currentArticle!=='undefined') ? _currentArticle : window._currentArticle;
-    if(!ca || !ca.url){ alert('Chưa có bài viết để rewrite'); return; }
-    let tone=document.getElementById('rewrite-tone')?.value||'nghiem-tuc';
-    let btn=document.querySelector('.article-actions button.primary');
-    if(btn){btn.textContent='Đang rewrite...';btn.disabled=true;}
-    fetch('/api/rewrite_share',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({url:ca.url,tone})})
-      .then(safeJson).then(j=>{
-        if(j&&j.post){
-          if(!j.post.img) j.post.img='https://s1.vnecdn.net/vnexpress/restruct/i/v9505/logo_default.jpg';
-          if(!j.post.text) j.post.text=j.post.summary||j.post.title||'Không lấy được nội dung.';
-          let box=document.getElementById('rewrite-result');
-          if(box) box.innerHTML='<div class="rewrite-box"><div class="rewrite-title">Đã rewrite và đăng lên Tường AI</div><div class="rewrite-text">'+(j.post.text||'').replace(/[&<>"']/g,m=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[m]))+'</div></div>';
-          if(typeof prependWallPost==='function') prependWallPost(j.post);
-          alert('Đã đăng lên Tường AI');
-        } else alert((j&&j.error)||'Không tạo được bài AI');
-      }).catch(e=>alert('Lỗi tạo bài AI: '+e.message))
-      .finally(()=>{if(btn){btn.textContent='🤖 AI viết lại & đăng tường';btn.disabled=false;}});
-  };
-})();
-</script>
-'''
-
-
-@app.get("/")
-async def patched_index():
-    try:
-        with open("/app/static/index.html", "r", encoding="utf-8") as f:
-            html = f.read()
-        if "window.safeJson" not in html:
-            html = html.replace("</body>", _FRONTEND_PATCH + "</body>")
-        return HTMLResponse(content=html)
-    except Exception as e:
-        return HTMLResponse(content=f"<pre>Index error: {str(e)}</pre>", status_code=500)

restore_runner.py

@@ -1,31 +0,0 @@
-import os
-import sys
-import subprocess
-from huggingface_hub import snapshot_download
-
-REVISION = os.environ.get("VNEWS_RESTORE_REVISION", "bcaa2dc")
-REPO_ID = os.environ.get("VNEWS_REPO_ID", "bep40/vnews")
-
-# Download exact Space snapshot from Hugging Face Hub.
-# This avoids manually copying huge files from an old commit.
-snapshot_dir = snapshot_download(
-    repo_id=REPO_ID,
-    repo_type="space",
-    revision=REVISION,
-    local_dir="/tmp/vnews_restore",
-    local_dir_use_symlinks=False,
-)
-
-os.chdir(snapshot_dir)
-sys.path.insert(0, snapshot_dir)
-
-# Commit bcaa2dc Dockerfile ran ai_patch:app.
-cmd = [
-    "uvicorn",
-    "ai_patch:app",
-    "--host",
-    "0.0.0.0",
-    "--port",
-    "7860",
-]
-os.execvp(cmd[0], cmd)