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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01Tq9MF7iZat2jXmZeMc3iZP","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nAnlamaya çalışıyorum - müzik video üretim aracınızdan bahsediyorsunuz. Önce projenin yapısını ve mevcut kodu incelemem gerekiyor ki ne yaptığını anlayayım."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":46543,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46543},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"92cc4b7a-fb62-41d6-8095-d001a42d2e5f","_audit_timestamp":"2026-04-12T19:18:46.896Z","_audit_hmac":"e354794a6799e23c694f3e54fd86fbf333b200adf450a7286d9d00788258e2df"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Hw6AtQGAZEu4pKHYeL4ivo","type":"tool_result","content":"1\t#!/usr/bin/env python3\n2\t# -*- coding: utf-8 -*-\n3\t\"\"\"\n4\tMüzik Video Üretici - LTX Desktop Backend API\n5\t===============================================\n6\tŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n7\t\n8\tPipeline:\n9\t1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n10\t2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n11\t   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n12\t   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n13\t3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n14\t4. Tüm videoları birleştir (ffmpeg)\n15\t5. Orijinal sesi tam olarak ekle (ffmpeg)\n16\t\n17\tKullanım:\n18\t    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n19\t    \n20\t    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n21\t\n22\tÇözünürlüğe göre max segment süreleri:\n23\t    540p  → max 20 saniye\n24\t    720p  → max 10 saniye\n25\t    1080p → max 5 saniye\n26\t\"\"\"\n27\t\n28\timport os\n29\timport sys\n30\timport json\n31\timport time\n32\timport shutil\n33\timport ctypes\n34\timport struct\n35\timport argparse\n36\timport subprocess\n37\timport urllib.request\n38\timport urllib.error\n39\tfrom pathlib import Path\n40\tfrom datetime import datetime\n41\t\n42\t# ============================================================================\n43\t# AYARLAR\n44\t# ============================================================================\n45\tLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\n46\tLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\n47\tSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\n48\tVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\n49\tDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\n50\tDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\n51\tDEFAULT_FPS = \"24\"\n52\tPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\n53\tMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n54\t\n55\tFFMPEG = \"ffmpeg\"\n56\tFFPROBE = \"ffprobe\"\n57\t\n58\t# Çözünürlüğe göre max segment süresi (saniye)\n59\tMAX_DURATION_BY_RESOLUTION = {\n60\t    \"512p\": 20,\n61\t    \"540p\": 20,\n62\t    \"720p\": 10,\n63\t    \"1080p\": 5,\n64\t}\n65\t\n66\t# LTX API'nin kabul ettiği süre değerleri (saniye)\n67\tALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n68\t\n69\tdef get_max_segment_duration(resolution):\n70\t    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n71\t    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n72\t\n73\tdef snap_to_allowed_duration(desired_dur, resolution):\n74\t    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n75\t    max_dur = get_max_segment_duration(resolution)\n76\t    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n77\t    if not allowed:\n78\t        return 5\n79\t    best = allowed[0]\n80\t    for a in allowed:\n81\t        if a <= desired_dur:\n82\t            best = a\n83\t    return best\n84\t\n85\t\n86\t# ============================================================================\n87\t# PORT ve BAĞLANTI BULMA\n88\t# ============================================================================\n89\t\n90\tdef find_ltx_backend_port():\n91\t    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n92\t    \n93\t    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n94\t    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n95\t    \"\"\"\n96\t    print(\"[*] LTX Desktop backend portu aranıyor...\")\n97\t    \n98\t    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n99\t    try:\n100\t        # ltx2_server.py çalıştıran python PID'lerini bul\n101\t        result = subprocess.run(\n102\t            ['wmic', 'process', 'where',\n103\t             \"CommandLine like '%ltx2_server.py%'\",\n104\t             'get', 'ProcessId', '/format:list'],\n105\t            capture_output=True, text=True, timeout=10\n106\t        )\n107\t        \n108\t        pids = []\n109\t        for line in result.stdout.strip().split('\\n'):\n110\t            line = line.strip()\n111\t            if line.startswith('ProcessId='):\n112\t                try:\n113\t                    pids.append(int(line.split('=')[1]))\n114\t                except ValueError:\n115\t                    pass\n116\t        \n117\t        if not pids:\n118\t            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n119\t            print(\"  LTX Desktop açık olduğundan emin olun.\")\n120\t            sys.exit(1)\n121\t        \n122\t        # Her PID için dinlenen portu bul (netstat ile)\n123\t        for pid in pids:\n124\t            result = subprocess.run(\n125\t                ['netstat', '-ano'],\n126\t                capture_output=True, text=True, timeout=10\n127\t            )\n128\t            for line in result.stdout.split('\\n'):\n129\t                line = line.strip()\n130\t                if f'{pid}' in line and 'LISTENING' in line:\n131\t                    parts = line.split()\n132\t                    if len(parts) >= 4:\n133\t                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n134\t                        if ':' in addr:\n135\t                            port_str = addr.rsplit(':', 1)[-1]\n136\t                            try:\n137\t                                port = int(port_str)\n138\t                                if port > 1024:  # Geçerli port\n139\t                                    url = f\"http://127.0.0.1:{port}\"\n140\t                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n141\t                                    return url\n142\t                            except ValueError:\n143\t                                pass\n144\t    except Exception as e:\n145\t        print(f\"  Port arama hatası: {e}\")\n146\t    \n147\t    # Yöntem 2: Bilinen portları dene\n148\t    print(\"  Bilinen portlar deneniyor...\")\n149\t    for port in [57835, 62106, 8000, 8080]:\n150\t        try:\n151\t            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n152\t            urllib.request.urlopen(req, timeout=2)\n153\t            url = f\"http://127.0.0.1:{port}\"\n154\t            print(f\"  Port bulundu (tarama): {port}\")\n155\t            return url\n156\t        except urllib.error.HTTPError as e:\n157\t            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n158\t                url = f\"http://127.0.0.1:{port}\"\n159\t                print(f\"  Port bulundu (tarama): {port}\")\n160\t                return url\n161\t        except Exception:\n162\t            continue\n163\t    \n164\t    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n165\t    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n166\t    sys.exit(1)\n167\t\n168\t\n169\t# ============================================================================\n170\t# TOKEN BULMA\n171\t# ============================================================================\n172\t\n173\tdef get_token_from_process_env():\n174\t    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n175\t    try:\n176\t        import psutil\n177\t        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n178\t            try:\n179\t                cmdline = \" \".join(proc.info.get('cmdline') or [])\n180\t                if 'ltx2_server.py' in cmdline:\n181\t                    env = proc.environ()\n182\t                    token = env.get('LTX_AUTH_TOKEN', '')\n183\t                    if token:\n184\t                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n185\t                        return token\n186\t            except (psutil.AccessDenied, psutil.NoSuchProcess):\n187\t                continue\n188\t    except ImportError:\n189\t        pass\n190\t    \n191\t    try:\n192\t        return _read_token_via_winapi()\n193\t    except Exception as e:\n194\t        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n195\t    \n196\t    return None\n197\t\n198\t\n199\tdef _read_token_via_winapi():\n200\t    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n201\t    kernel32 = ctypes.windll.kernel32\n202\t    ntdll = ctypes.windll.ntdll\n203\t    \n204\t    result = subprocess.run(\n205\t        ['wmic', 'process', 'where', \n206\t         \"CommandLine like '%ltx2_server.py%'\",\n207\t         'get', 'ProcessId', '/format:list'],\n208\t        capture_output=True, text=True, timeout=10\n209\t    )\n210\t    \n211\t    pids = []\n212\t    for line in result.stdout.strip().split('\\n'):\n213\t        line = line.strip()\n214\t        if line.startswith('ProcessId='):\n215\t            try:\n216\t                pids.append(int(line.split('=')[1]))\n217\t            except ValueError:\n218\t                pass\n219\t    \n220\t    if not pids:\n221\t        return None\n222\t    \n223\t    PROCESS_QUERY_INFORMATION = 0x0400\n224\t    PROCESS_VM_READ = 0x0010\n225\t    \n226\t    class PBI(ctypes.Structure):\n227\t        _fields_ = [\n228\t            (\"Reserved1\", ctypes.c_void_p),\n229\t            (\"PebBaseAddress\", ctypes.c_void_p),\n230\t            (\"Reserved2\", ctypes.c_void_p * 2),\n231\t            (\"UniqueProcessId\", ctypes.c_void_p),\n232\t            (\"Reserved3\", ctypes.c_void_p),\n233\t        ]\n234\t    \n235\t    for pid in pids:\n236\t        handle = kernel32.OpenProcess(\n237\t            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n238\t        )\n239\t        if not handle:\n240\t            continue\n241\t        \n242\t        try:\n243\t            pbi = PBI()\n244\t            ret_len = ctypes.c_ulong()\n245\t            status = ntdll.NtQueryInformationProcess(\n246\t                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n247\t            )\n248\t            if status != 0:\n249\t                continue\n250\t            \n251\t            peb = (ctypes.c_byte * 0x400)()\n252\t            read = ctypes.c_size_t()\n253\t            if not kernel32.ReadProcessMemory(\n254\t                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n255\t            ):\n256\t                continue\n257\t            \n258\t            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n259\t            \n260\t            pp = (ctypes.c_byte * 0x400)()\n261\t            if not kernel32.ReadProcessMemory(\n262\t                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n263\t            ):\n264\t                continue\n265\t            \n266\t            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n267\t            \n268\t            env_buf = (ctypes.c_byte * 65536)()\n269\t            if not kernel32.ReadProcessMemory(\n270\t                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n271\t            ):\n272\t                continue\n273\t            \n274\t            env_data = bytes(env_buf)[:read.value]\n275\t            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n276\t            for var in env_str.split(\"\\0\"):\n277\t                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n278\t                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n279\t                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n280\t                    return token\n281\t        finally:\n282\t            kernel32.CloseHandle(handle)\n283\t    \n284\t    return None\n285\t\n286\t\n287\tdef discover_auth_token(api_url):\n288\t    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n289\t    print(\"[*] LTX Desktop auth token aranıyor...\")\n290\t    \n291\t    # 1. Auth'suz dene\n292\t    try:\n293\t        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n294\t        resp = urllib.request.urlopen(req, timeout=5)\n295\t        print(\"  [TOKEN] Auth gerekmiyor!\")\n296\t        return None\n297\t    except urllib.error.HTTPError as e:\n298\t        if e.code == 401:\n299\t            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n300\t        else:\n301\t            raise\n302\t    except urllib.error.URLError:\n303\t        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n304\t        sys.exit(1)\n305\t    \n306\t    # 2. Ortam değişkeninden\n307\t    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n308\t    if env_token:\n309\t        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n310\t        return env_token\n311\t    \n312\t    # 3. token dosyasından (ve geçerliliğini kontrol et)\n313\t    token_file = Path(__file__).parent / \"ltx_token.txt\"\n314\t    if token_file.exists():\n315\t        token = token_file.read_text().strip()\n316\t        if token:\n317\t            try:\n318\t                req = urllib.request.Request(\n319\t                    f\"{api_url}/api/generation/progress\",\n320\t                    headers={\"Authorization\": f\"Bearer {token}\"}\n321\t                )\n322\t                urllib.request.urlopen(req, timeout=5)\n323\t                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n324\t                return token\n325\t            except urllib.error.HTTPError:\n326\t                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n327\t            except urllib.error.URLError:\n328\t                pass\n329\t    \n330\t    # 4. Çalışan süreçten\n331\t    token = get_token_from_process_env()\n332\t    if token:\n333\t        token_file.write_text(token)\n334\t        return token\n335\t    \n336\t    # 5. Manuel\n337\t    print(\"\\n\" + \"=\" * 60)\n338\t    print(\"AUTH TOKEN BULUNAMADI!\")\n339\t    print(\"=\" * 60)\n340\t    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n341\t    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n342\t    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n343\t    print(\"=\" * 60)\n344\t    token = input(\"Token: \").strip()\n345\t    if token.startswith(\"Bearer \"):\n346\t        token = token[7:]\n347\t    if token:\n348\t        token_file.write_text(token)\n349\t        return token\n350\t    \n351\t    print(\"HATA: Token girilmedi!\")\n352\t    sys.exit(1)\n353\t\n354\t\n355\t# ============================================================================\n356\t# LTX API\n357\t# ============================================================================\n358\t\n359\tdef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n360\t    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n361\t    url = f\"{api_url}{endpoint}\"\n362\t    headers = {\"Content-Type\": \"application/json\"}\n363\t    if token:\n364\t        headers[\"Authorization\"] = f\"Bearer {token}\"\n365\t    \n366\t    if data is not None:\n367\t        body = json.dumps(data).encode(\"utf-8\")\n368\t        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n369\t    else:\n370\t        req = urllib.request.Request(url, headers=headers, method=method)\n371\t    \n372\t    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n373\t    return json.loads(resp.read().decode())\n374\t\n375\t\n376\tdef check_ltx_status(api_url, token):\n377\t    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n378\t    try:\n379\t        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n380\t    except Exception:\n381\t        return None\n382\t\n383\t\n384\tdef wait_for_idle(api_url, token, max_wait=120):\n385\t    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n386\t    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n387\t    start = time.time()\n388\t    while time.time() - start < max_wait:\n389\t        status = check_ltx_status(api_url, token)\n390\t        if status is None:\n391\t            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n392\t            sys.exit(1)\n393\t        \n394\t        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n395\t            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n396\t            return True\n397\t        \n398\t        phase = status.get(\"phase\", \"?\")\n399\t        progress = status.get(\"progress\", 0)\n400\t        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n401\t        time.sleep(2)\n402\t    \n403\t    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n404\t    return False\n405\t\n406\t\n407\tdef generate_video(api_url, prompt, image_path, audio_path, token, \n408\t                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n409\t                   duration=\"20\"):\n410\t    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n411\t    \n412\t    image_abs = str(Path(image_path).resolve())\n413\t    audio_abs = str(Path(audio_path).resolve())\n414\t    \n415\t    payload = {\n416\t        \"prompt\": prompt,\n417\t        \"model\": VIDEO_MODEL,\n418\t        \"duration\": duration,\n419\t        \"resolution\": resolution,\n420\t        \"fps\": DEFAULT_FPS,\n421\t        \"audio\": \"true\",\n422\t        \"cameraMotion\": \"none\",\n423\t        \"aspectRatio\": aspect,\n424\t        \"negativePrompt\": \"\",\n425\t        \"imagePath\": image_abs,\n426\t        \"audioPath\": audio_abs\n427\t    }\n428\t    \n429\t    print(f\"  API isteği gönderiliyor...\")\n430\t    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n431\t    print(f\"    Görsel: {image_abs}\")\n432\t    print(f\"    Ses: {audio_abs}\")\n433\t    \n434\t    try:\n435\t        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n436\t    except urllib.error.HTTPError as e:\n437\t        error_body = e.read().decode()\n438\t        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n439\t        return None\n440\t    except Exception as e:\n441\t        print(f\"  HATA: API bağlantı hatası: {e}\")\n442\t        return None\n443\t    \n444\t    status = result.get(\"status\", \"\")\n445\t    video_path = result.get(\"video_path\", \"\")\n446\t    \n447\t    if status == \"complete\" and video_path:\n448\t        print(f\"  Video üretildi: {video_path}\")\n449\t        return video_path\n450\t    else:\n451\t        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n452\t        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n453\t        return None\n454\t\n455\t\n456\t# ============================================================================\n457\t# FFMPEG YARDIMCI FONKSİYONLARI\n458\t# ============================================================================\n459\t\n460\tdef get_audio_duration(audio_path):\n461\t    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n462\t    cmd = [\n463\t        FFPROBE, \"-v\", \"error\",\n464\t        \"-show_entries\", \"format=duration\",\n465\t        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n466\t        str(audio_path)\n467\t    ]\n468\t    result = subprocess.run(cmd, capture_output=True, text=True)\n469\t    return float(result.stdout.strip())\n470\t\n471\t\n472\tdef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n473\t    \"\"\"Ses dosyasını segmentlere böler.\n474\t    \n475\t    Returns:\n476\t        List of (segment_audio_path, start_time, end_time, actual_duration)\n477\t    \"\"\"\n478\t    segments = []\n479\t    num_segments = int(total_duration // segment_dur)\n480\t    remainder = total_duration % segment_dur\n481\t    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n482\t    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n483\t    if remainder >= 5.0:\n484\t        num_segments += 1\n485\t    \n486\t    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n487\t    \n488\t    for i in range(num_segments):\n489\t        seg_start = i * segment_dur\n490\t        seg_end = min((i + 1) * segment_dur, total_duration)\n491\t        seg_actual_dur = seg_end - seg_start\n492\t        \n493\t        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n494\t        \n495\t        cmd = [\n496\t            FFMPEG, \"-y\",\n497\t            \"-i\", str(audio_path),\n498\t            \"-ss\", str(seg_start),\n499\t            \"-t\", str(seg_actual_dur),\n500\t            \"-acodec\", \"libmp3lame\",\n501\t            \"-b:a\", \"192k\",\n502\t            str(seg_audio)\n503\t        ]\n504\t        subprocess.run(cmd, capture_output=True, check=True)\n505\t        \n506\t        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n507\t        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n508\t    \n509\t    return segments\n510\t\n511\t\n512\tdef extract_last_frame(video_path, output_path):\n513\t    \"\"\"Videonun son karesini çıkarır.\"\"\"\n514\t    cmd = [\n515\t        FFPROBE, \"-v\", \"error\",\n516\t        \"-show_entries\", \"format=duration\",\n517\t        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n518\t        str(video_path)\n519\t    ]\n520\t    result = subprocess.run(cmd, capture_output=True, text=True)\n521\t    duration = float(result.stdout.strip())\n522\t    \n523\t    seek_time = max(0, duration - 0.05)\n524\t    \n525\t    cmd = [\n526\t        FFMPEG, \"-y\",\n527\t        \"-ss\", str(seek_time),\n528\t        \"-i\", str(video_path),\n529\t        \"-frames:v\", \"1\",\n530\t        \"-q:v\", \"1\",\n531\t        str(output_path)\n532\t    ]\n533\t    subprocess.run(cmd, capture_output=True, check=True)\n534\t    print(f\"  Son kare çıkarıldı: {output_path}\")\n535\t\n536\t\n537\tdef concatenate_videos(video_list, output_path):\n538\t    \"\"\"Videoları birleştirir.\"\"\"\n539\t    list_file = output_path.parent / \"concat_list.txt\"\n540\t    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n541\t        for v in video_list:\n542\t            escaped = str(v).replace(\"'\", \"'\\\\''\")\n543\t            f.write(f\"file '{escaped}'\\n\")\n544\t    \n545\t    cmd = [\n546\t        FFMPEG, \"-y\",\n547\t        \"-f\", \"concat\",\n548\t        \"-safe\", \"0\",\n549\t        \"-i\", str(list_file),\n550\t        \"-c\", \"copy\",\n551\t        str(output_path)\n552\t    ]\n553\t    subprocess.run(cmd, capture_output=True, check=True)\n554\t    \n555\t    list_file.unlink(missing_ok=True)\n556\t    print(f\"  Videolar birleştirildi: {output_path}\")\n557\t\n558\t\n559\tdef add_audio_to_video(video_path, audio_path, output_path):\n560\t    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n561\t    cmd = [\n562\t        FFMPEG, \"-y\",\n563\t        \"-i\", str(video_path),\n564\t        \"-i\", str(audio_path),\n565\t        \"-c:v\", \"copy\",\n566\t        \"-c:a\", \"aac\",\n567\t        \"-b:a\", \"192k\",\n568\t        \"-map\", \"0:v:0\",\n569\t        \"-map\", \"1:a:0\",\n570\t        \"-shortest\",\n571\t        str(output_path)\n572\t    ]\n573\t    subprocess.run(cmd, capture_output=True, check=True)\n574\t    print(f\"  Orijinal ses eklendi: {output_path}\")\n575\t\n576\t\n577\t# ============================================================================\n578\t# ANA PIPELINE\n579\t# ============================================================================\n580\t\n581\tdef main():\n582\t    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n583\t    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n584\t    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n585\t    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n586\t                        help=\"Video üretim prompt'u\")\n587\t    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n588\t                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n589\t                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n590\t    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n591\t                        choices=[\"16:9\", \"9:16\"],\n592\t                        help=\"En-boy oranı\")\n593\t    parser.add_argument(\"--output\", \"-o\", default=None,\n594\t                        help=\"Çıkış dosyası yolu\")\n595\t    parser.add_argument(\"--token\", \"-t\", default=None,\n596\t                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n597\t    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n598\t                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n599\t    parser.add_argument(\"--port\", type=int, default=None,\n600\t                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n601\t    \n602\t    args = parser.parse_args()\n603\t    \n604\t    audio_path = Path(args.audio).resolve()\n605\t    image_path = Path(args.image).resolve()\n606\t    \n607\t    if not audio_path.exists():\n608\t        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n609\t        sys.exit(1)\n610\t    if not image_path.exists():\n611\t        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n612\t        sys.exit(1)\n613\t    \n614\t    # Çözünürlüğe göre max segment süresini belirle\n615\t    max_seg = get_max_segment_duration(args.resolution)\n616\t    segment_dur = min(args.segment_duration, max_seg)\n617\t    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n618\t    \n619\t    if args.segment_duration > max_seg:\n620\t        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n621\t    \n622\t    # Çıkış klasörü\n623\t    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n624\t    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n625\t    work_dir.mkdir(parents=True, exist_ok=True)\n626\t    segments_dir = work_dir / \"segments\"\n627\t    segments_dir.mkdir(exist_ok=True)\n628\t    frames_dir = work_dir / \"frames\"\n629\t    frames_dir.mkdir(exist_ok=True)\n630\t    audio_segments_dir = work_dir / \"audio_segments\"\n631\t    audio_segments_dir.mkdir(exist_ok=True)\n632\t    \n633\t    # Çıkış dosyası\n634\t    if args.output:\n635\t        output_path = Path(args.output).resolve()\n636\t    else:\n637\t        stem = audio_path.stem\n638\t        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n639\t    \n640\t    print(\"=\" * 60)\n641\t    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n642\t    print(\"=\" * 60)\n643\t    print(f\"  Ses: {audio_path}\")\n644\t    print(f\"  Görsel: {image_path}\")\n645\t    print(f\"  Prompt: {args.prompt[:60]}...\")\n646\t    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n647\t    print(f\"  Model: {VIDEO_MODEL}\")\n648\t    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n649\t    print(f\"  Çıkış: {output_path}\")\n650\t    print(\"=\" * 60)\n651\t    \n652\t    # ── 1. LTX Desktop Backend Portu ──\n653\t    if args.port:\n654\t        api_url = f\"http://127.0.0.1:{args.port}\"\n655\t        print(f\"\\n[*] Manuel port: {args.port}\")\n656\t    else:\n657\t        api_url = find_ltx_backend_port()\n658\t    \n659\t    print(f\"[*] LTX Backend: {api_url}\")\n660\t    \n661\t    # ── 2. Auth Token ──\n662\t    if args.token:\n663\t        token = args.token\n664\t    else:\n665\t        token = discover_auth_token(api_url)\n666\t    \n667\t    if token:\n668\t        token_file = Path(__file__).parent / \"ltx_token.txt\"\n669\t        token_file.write_text(token)\n670\t    \n671\t    # ── 3. LTX Desktop Hazır mı? ──\n672\t    wait_for_idle(api_url, token)\n673\t    \n674\t    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n675\t    total_duration = get_audio_duration(audio_path)\n676\t    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n677\t    \n678\t    audio_segments = split_audio_into_segments(\n679\t        audio_path, audio_segments_dir, segment_dur, total_duration\n680\t    )\n681\t    \n682\t    num_segments = len(audio_segments)\n683\t    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n684\t    \n685\t    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n686\t    input_image = frames_dir / f\"input_000.jpg\"\n687\t    shutil.copy2(image_path, input_image)\n688\t    \n689\t    # ── 6. Video Segmentlerini Üret ──\n690\t    video_segments = []\n691\t    current_image = input_image\n692\t    \n693\t    start_time = time.time()\n694\t    \n695\t    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n696\t        \n697\t        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n698\t        actual_dur = max(5, actual_dur)\n699\t        \n700\t        print(f\"\\n{'─' * 55}\")\n701\t        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n702\t        print(f\"{'─' * 55}\")\n703\t        \n704\t        wait_for_idle(api_url, token)\n705\t        \n706\t        video_path = generate_video(\n707\t            api_url=api_url,\n708\t            prompt=args.prompt,\n709\t            image_path=current_image,\n710\t            audio_path=seg_audio,\n711\t            token=token,\n712\t            resolution=args.resolution,\n713\t            aspect=args.aspect,\n714\t            duration=str(actual_dur)\n715\t        )\n716\t        \n717\t        if video_path is None:\n718\t            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n719\t            continue\n720\t        \n721\t        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n722\t        shutil.copy2(video_path, seg_video)\n723\t        video_segments.append(seg_video)\n724\t        \n725\t        elapsed = time.time() - start_time\n726\t        avg_per_seg = elapsed / (i + 1)\n727\t        remaining = avg_per_seg * (num_segments - i - 1)\n728\t        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n729\t        \n730\t        if i < num_segments - 1:\n731\t            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n732\t            try:\n733\t                extract_last_frame(seg_video, next_image)\n734\t                current_image = next_image\n735\t            except Exception as e:\n736\t                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n737\t    \n738\t    if not video_segments:\n739\t        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n740\t        sys.exit(1)\n741\t    \n742\t    # ── 7. Videoları Birleştir ──\n743\t    print(f\"\\n{'=' * 55}\")\n744\t    print(\"[*] Videolar birleştiriliyor...\")\n745\t    concat_video = work_dir / \"concat_raw.mp4\"\n746\t    \n747\t    if len(video_segments) == 1:\n748\t        shutil.copy2(video_segments[0], concat_video)\n749\t    else:\n750\t        concatenate_videos(video_segments, concat_video)\n751\t    \n752\t    # ── 8. Orijinal Tam Sesi Ekle ──\n753\t    print(\"[*] Orijinal şarkı ekleniyor...\")\n754\t    add_audio_to_video(concat_video, audio_path, output_path)\n755\t    \n756\t    # ── 9. Tamamlandı ──\n757\t    total_time = time.time() - start_time\n758\t    file_size = output_path.stat().st_size / (1024 * 1024)\n759\t    \n760\t    print(f\"\\n{'=' * 60}\")\n761\t    print(f\"  TAMAMLANDI!\")\n762\t    print(f\"{'=' * 60}\")\n763\t    print(f\"  Çıkış: {output_path}\")\n764\t    print(f\"  Boyut: {file_size:.1f} MB\")\n765\t    print(f\"  Segment sayısı: {len(video_segments)}\")\n766\t    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n767\t    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n768\t    print(f\"{'=' * 60}\")\n769\t    \n770\t    return str(output_path)\n771\t\n772\t\n773\tif __name__ == \"__main__\":\n774\t    main()\n775\t"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"a29c7884-4f1c-4a88-aca2-8d63414701a6","timestamp":"2026-04-12T19:15:53.904Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","content":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","numLines":775,"startLine":1,"totalLines":775}},"_audit_timestamp":"2026-04-12T19:18:57.570Z","_audit_hmac":"5bf8e4a6b139b27c8b41d64645617a1985c61991502d71f08b1be601d4befb73"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01DoafWT2aJhPKdzxKbmYREc","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi kodu anladım. Mevcut akış şu:\n\n1. İlk görsel → LTX'e ver → video üret\n2. Her videonun son karesini al → bir sonraki segmentin giriş görseli yap\n3. En sonda FaceFusion ile face swap yap\n\nSenin önerdiğin şu: **Son kareyi alıp, face swap yapıp, yüzü değiştirilmiş halini bir sonraki segmente giriş görseli olarak versek** — böylece her segment başında yüz zaten doğru olur ve daha tutarlı bir sonuç çıkar."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10767,"cache_read_input_tokens":47688,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10767},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"dee0cb9f-fe3a-4809-a129-f4cc46ff8161","_audit_timestamp":"2026-04-12T19:19:04.708Z","_audit_hmac":"2f6abccc50496933062b79642bfd8517b13b2fe189110f9ed0d3e6c2a0730891"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01DoafWT2aJhPKdzxKbmYREc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016bth3FM8WVyD5C3zem7YvZ","name":"AskUserQuestion","input":{"questions":[{"question":"Tam olarak ne yapmak istiyorsun? Son kareyi alıp face swap yapıp bir sonraki segmente girdi olarak vermek mi, yoksa başka bir akış mı?","header":"Face Swap","options":[{"label":"Her segmentten sonra face swap","description":"Her videonun son karesini al → FaceFusion ile yüz değiştir → sonraki segmente giriş görseli olarak ver"},{"label":"Sadece ilk görselde face swap","description":"İlk görseli face swap yap, sonra pipeline'ı normal çalıştır (son kareler face swap'sız aktarılır)"},{"label":"İkisi de seçenek olsun","description":"Bat dosyasında veya argümanda kullanıcı seçebilsin: her segmentte mi yoksa sadece başta mı face swap yapılsın"}],"multiSelect":false}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10767,"cache_read_input_tokens":47688,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10767},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"0a028826-30a1-4f23-a703-eadb2b367c25","_audit_timestamp":"2026-04-12T19:19:09.659Z","_audit_hmac":"9a0ebc269116016a3d2ffda5184b69c554e78be050c4f72291a6717afb25e347"}
{"type":"system","subtype":"permission_request","uuid":"207649f1-8694-4e0f-a813-c8f9a70414a8","session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","tool_name":"AskUserQuestion","tool_input":{"questions":[{"question":"Tam olarak ne yapmak istiyorsun? Son kareyi alıp face swap yapıp bir sonraki segmente girdi olarak vermek mi, yoksa başka bir akış mı?","header":"Face Swap","options":[{"label":"Her segmentten sonra face swap","description":"Her videonun son karesini al → FaceFusion ile yüz değiştir → sonraki segmente giriş görseli olarak ver"},{"label":"Sadece ilk görselde face swap","description":"İlk görseli face swap yap, sonra pipeline'ı normal çalıştır (son kareler face swap'sız aktarılır)"},{"label":"İkisi de seçenek olsun","description":"Bat dosyasında veya argümanda kullanıcı seçebilsin: her segmentte mi yoksa sadece başta mı face swap yapılsın"}],"multiSelect":false}]},"_audit_timestamp":"2026-04-12T19:19:09.663Z","_audit_hmac":"45140c37ae35bcf9319bcd3a11b2c2e8a7b6f7fea9545365caada2326898206f"}
{"type":"system","subtype":"permission_response","uuid":"207649f1-8694-4e0f-a813-c8f9a70414a8","session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","tool_name":"AskUserQuestion","decision":"once","granted":true,"_audit_timestamp":"2026-04-12T19:19:56.753Z","_audit_hmac":"22a7047270418b080b04e592d1b9d4228b11ca58587bab73b9d4c684483486e3"}
{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has answered your questions: \"Tam olarak ne yapmak istiyorsun? Son kareyi alıp face swap yapıp bir sonraki segmente girdi olarak vermek mi, yoksa başka bir akış mı?\"=\"Vdeoya değilde son kare alınıyor ya orada face swap yapıcaz son karenin resmine video o faceswap yapılmış son kareden devam edicek\". You can now continue with the user's answers in mind.","tool_use_id":"toolu_016bth3FM8WVyD5C3zem7YvZ"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"9e4e99a4-994f-493e-8a10-5be88c4e5e24","timestamp":"2026-04-12T19:16:53.101Z","tool_use_result":{"questions":[{"question":"Tam olarak ne yapmak istiyorsun? Son kareyi alıp face swap yapıp bir sonraki segmente girdi olarak vermek mi, yoksa başka bir akış mı?","header":"Face Swap","options":[{"label":"Her segmentten sonra face swap","description":"Her videonun son karesini al → FaceFusion ile yüz değiştir → sonraki segmente giriş görseli olarak ver"},{"label":"Sadece ilk görselde face swap","description":"İlk görseli face swap yap, sonra pipeline'ı normal çalıştır (son kareler face swap'sız aktarılır)"},{"label":"İkisi de seçenek olsun","description":"Bat dosyasında veya argümanda kullanıcı seçebilsin: her segmentte mi yoksa sadece başta mı face swap yapılsın"}],"multiSelect":false}],"answers":{"Tam olarak ne yapmak istiyorsun? Son kareyi alıp face swap yapıp bir sonraki segmente girdi olarak vermek mi, yoksa başka bir akış mı?":"Vdeoya değilde son kare alınıyor ya orada face swap yapıcaz son karenin resmine video o faceswap yapılmış son kareden devam edicek"}},"_audit_timestamp":"2026-04-12T19:19:56.761Z","_audit_hmac":"e514d961c4c8a356fdbb6918fbc49b90ab7438d4d518851f8e058c4a071010b3"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_0174rhibBvj1ctv8ebDS98Zs","type":"message","role":"assistant","content":[{"type":"text","text":"Anladım! Yani mevcut akışta zaten son kare alınıp bir sonraki segmente veriliyor. Senin istediğin: **o son kareye FaceFusion ile face swap uygula, sonra face swap'lı kareyi bir sonraki segmente ver.** Böylece video face swap'lı yüzle devam eder.\n\nŞimdi FaceFusion'ın nasıl çalıştığını ve API/CLI'sini anlayalım:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":726,"cache_read_input_tokens":58455,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":726},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"8fcb4277-20fd-4936-af83-b0c7d23da695","_audit_timestamp":"2026-04-12T19:20:00.916Z","_audit_hmac":"92f9c32c72dd1c149aec457ea9c63a11f423cbc2bf29dc196a617641f4e4fe57"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_0174rhibBvj1ctv8ebDS98Zs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rf1f1RCPtmG1tYN8vZCvC2","name":"Bash","input":{"command":"ls -la /sessions/nifty-upbeat-hopper/mnt/video-uretim/FaceFusion/","description":"List FaceFusion directory"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":726,"cache_read_input_tokens":58455,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":726},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"bd8e639d-8ded-431a-8dbd-37aa042e0fbe","_audit_timestamp":"2026-04-12T19:20:01.820Z","_audit_hmac":"5619a43e52a0bd3f7111752fe948194fff5e448e6de9b76ec3e2bff127c4bb0c"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rf1f1RCPtmG1tYN8vZCvC2","type":"tool_result","content":"total 32\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 15:10 .\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 13:41 ..\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  1982 Apr 12 14:18 CUDA-DLL-Kur.bat\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  5933 Apr 12 15:04 FaceFusion-Baslat.bat\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  3707 Apr 12 14:07 FaceFusion-Kur.bat\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  1331 Apr 12 14:24 cuDNN-Kur.bat\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 14:10 facefusion\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper 11410 Apr 12 14:08 kurulum_log.txt\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper   183 Apr 12 14:08 kurulum_log.txt.err\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 20:10 temp\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 14:08 venv\n[rerun: b2]","is_error":false}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"267fe2b1-51ce-4dde-b4c5-05b28af6d72f","timestamp":"2026-04-12T19:16:58.212Z","tool_use_result":{"stdout":"total 32\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 15:10 .\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 13:41 ..\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  1982 Apr 12 14:18 CUDA-DLL-Kur.bat\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  5933 Apr 12 15:04 FaceFusion-Baslat.bat\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  3707 Apr 12 14:07 FaceFusion-Kur.bat\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  1331 Apr 12 14:24 cuDNN-Kur.bat\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 14:10 facefusion\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper 11410 Apr 12 14:08 kurulum_log.txt\n-rwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper   183 Apr 12 14:08 kurulum_log.txt.err\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 20:10 temp\ndrwx------ 1 nifty-upbeat-hopper nifty-upbeat-hopper  4096 Apr 12 14:08 venv","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"_audit_timestamp":"2026-04-12T19:20:01.871Z","_audit_hmac":"f96d84545090dfc03f2d900f5c65dc1220b9d0f52307d09ba10556003aafb475"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01Fwdq4QmP3XZTMmqpNkE71D","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CWjgA2419ZqLi5iF1ppaqB","name":"Read","input":{"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/FaceFusion/FaceFusion-Baslat.bat"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":747,"cache_read_input_tokens":59181,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":747},"output_tokens":64,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"a76ae102-30c2-4b59-beaf-1fbf70022e5f","_audit_timestamp":"2026-04-12T19:20:04.592Z","_audit_hmac":"45b1b7f3c84dcc560e9169575a853cc788b3bacefbb981c77c5f5e94df967718"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CWjgA2419ZqLi5iF1ppaqB","type":"tool_result","content":"1\t@echo off\n2\tchcp 65001 >nul\n3\ttitle FaceFusion - Yuz Degistirme\n4\tsetlocal enabledelayedexpansion\n5\t\n6\tset \"BASE_DIR=%~dp0\"\n7\tset \"BASE_DIR=%BASE_DIR:~0,-1%\"\n8\tset \"VENV_PYTHON=%BASE_DIR%\\venv\\Scripts\\python.exe\"\n9\tset \"FF_DIR=%BASE_DIR%\\facefusion\"\n10\tset \"FFMPEG_DIR=%BASE_DIR%\\ffmpeg\"\n11\tset \"NVIDIA_PKGS=%BASE_DIR%\\venv\\Lib\\site-packages\\nvidia\"\n12\tset \"TEMP_DIR=%BASE_DIR%\\temp\"\n13\t\n14\tset IMAGE=\n15\tset VIDEO=\n16\t\n17\techo ============================================\n18\techo   FACEFUSION - YUZ DEGISTIRME\n19\techo   NVIDIA CUDA Hizlandirmali\n20\techo ============================================\n21\techo.\n22\t\n23\tREM Kurulum kontrolu\n24\tif not exist \"%VENV_PYTHON%\" (\n25\t    echo HATA: FaceFusion kurulu degil!\n26\t    echo Once FaceFusion-Kur.bat dosyasini calistirin.\n27\t    pause\n28\t    exit /b 1\n29\t)\n30\t\n31\tREM ============================================\n32\tREM PATH AYARLA - CUDA + cuDNN DLL'leri icin\n33\tREM ============================================\n34\tset \"PATH=%BASE_DIR%\\venv\\Scripts;%FFMPEG_DIR%;%PATH%\"\n35\tset \"PATH=C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin;%PATH%\"\n36\t\n37\tREM nvidia pip paketlerindeki tum DLL klasorlerini PATH'e ekle\n38\tfor /d %%D in (\"%NVIDIA_PKGS%\\*\") do (\n39\t    if exist \"%%D\\bin\" set \"PATH=%%D\\bin;!PATH!\"\n40\t    if exist \"%%D\\lib\" set \"PATH=%%D\\lib;!PATH!\"\n41\t)\n42\t\n43\tREM Surukle birak ile gelen dosyalari ayikla\n44\tfor %%A in (%*) do (\n45\t    set \"FILE=%%~A\"\n46\t    set \"EXT=%%~xA\"\n47\t    \n48\t    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n49\t    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n50\t    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n51\t    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n52\t    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n53\t    \n54\t    if /i \"!EXT!\"==\".mp4\" set \"VIDEO=%%~A\"\n55\t    if /i \"!EXT!\"==\".mov\" set \"VIDEO=%%~A\"\n56\t    if /i \"!EXT!\"==\".avi\" set \"VIDEO=%%~A\"\n57\t    if /i \"!EXT!\"==\".mkv\" set \"VIDEO=%%~A\"\n58\t    if /i \"!EXT!\"==\".wmv\" set \"VIDEO=%%~A\"\n59\t    if /i \"!EXT!\"==\".webm\" set \"VIDEO=%%~A\"\n60\t)\n61\t\n62\tREM Eger surukle birak ile gelmemisse sor\n63\tif \"%IMAGE%\"==\"\" (\n64\t    echo   [!] Resim dosyasi bulunamadi.\n65\t    echo       Resim ve video dosyalarini bu bat'in\n66\t    echo       ustune surukleyip birakin.\n67\t    echo.\n68\t    echo   VEYA asagiya elle yazin:\n69\t    echo.\n70\t    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n71\t)\n72\t\n73\tif \"%VIDEO%\"==\"\" (\n74\t    echo.\n75\t    echo   [!] Video dosyasi bulunamadi.\n76\t    set /p VIDEO=\"  Video yolu (mp4/mov): \"\n77\t)\n78\t\n79\tif \"%IMAGE%\"==\"\" (\n80\t    echo HATA: Resim dosyasi gerekli!\n81\t    pause\n82\t    exit /b 1\n83\t)\n84\tif \"%VIDEO%\"==\"\" (\n85\t    echo HATA: Video dosyasi gerekli!\n86\t    pause\n87\t    exit /b 1\n88\t)\n89\t\n90\techo.\n91\techo   Resim (yuz) : %IMAGE%\n92\techo   Video       : %VIDEO%\n93\techo.\n94\t\n95\tREM Ayarlar\n96\techo   Yuz secim modu:\n97\techo     1) one   - Tek yuz (Varsayilan)\n98\techo     2) many  - Tum yuzler degissin\n99\techo.\n100\tset /p FACEMODE=\"  Seciminiz (1/2, Enter=1): \"\n101\tif \"%FACEMODE%\"==\"\" set FACEMODE=1\n102\tif \"%FACEMODE%\"==\"1\" set FACE_SEL=one\n103\tif \"%FACEMODE%\"==\"2\" set FACE_SEL=many\n104\tif not defined FACE_SEL set FACE_SEL=one\n105\t\n106\techo.\n107\techo   Video kalitesi:\n108\techo     1) 90  - Yuksek (Varsayilan)\n109\techo     2) 100 - Maksimum (daha buyuk dosya)\n110\techo     3) 70  - Orta (daha kucuk dosya)\n111\techo.\n112\tset /p QUALCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\n113\tif \"%QUALCHOICE%\"==\"\" set QUALCHOICE=1\n114\tif \"%QUALCHOICE%\"==\"1\" set QUALITY=90\n115\tif \"%QUALCHOICE%\"==\"2\" set QUALITY=100\n116\tif \"%QUALCHOICE%\"==\"3\" set QUALITY=70\n117\tif not defined QUALITY set QUALITY=90\n118\t\n119\techo.\n120\techo   Islemciler:\n121\techo     1) face_swapper              - Sadece yuz degistir (Varsayilan)\n122\techo     2) face_swapper face_enhancer - Yuz degistir + iyilestir\n123\techo.\n124\tset /p PROCCHOICE=\"  Seciminiz (1/2, Enter=1): \"\n125\tif \"%PROCCHOICE%\"==\"\" set PROCCHOICE=1\n126\tif \"%PROCCHOICE%\"==\"1\" set PROCESSORS=face_swapper\n127\tif \"%PROCCHOICE%\"==\"2\" set PROCESSORS=face_swapper face_enhancer\n128\tif not defined PROCESSORS set PROCESSORS=face_swapper\n129\t\n130\tREM Videonun klasorunu ve adini al\n131\tfor %%F in (\"%VIDEO%\") do set \"VIDEO_DIR=%%~dpF\"\n132\t\n133\tREM Timestamp olustur\n134\tfor /f \"tokens=2 delims==\" %%I in ('wmic os get localdatetime /value 2^>nul ^| find \"LocalDateTime\"') do set \"DT=%%I\"\n135\tset \"TIMESTAMP=%DT:~0,8%_%DT:~8,6%\"\n136\t\n137\tREM Gecici cikis (ASCII-safe yol - Turkce karakter sorunu yok)\n138\tif not exist \"%TEMP_DIR%\" mkdir \"%TEMP_DIR%\"\n139\tset \"TEMP_OUTPUT=%TEMP_DIR%\\faceswap_%TIMESTAMP%.mp4\"\n140\t\n141\tREM Son cikis (videonun klasoru)\n142\tset \"FINAL_OUTPUT=%VIDEO_DIR%faceswap_%TIMESTAMP%.mp4\"\n143\t\n144\techo.\n145\techo ============================================\n146\techo   Ayarlar:\n147\techo     Yuz modu   : %FACE_SEL%\n148\techo     Kalite     : %QUALITY%\n149\techo     Islemciler : %PROCESSORS%\n150\techo     Cikis      : %FINAL_OUTPUT%\n151\techo ============================================\n152\techo.\n153\techo   Baslatiliyor...\n154\techo.\n155\t\n156\tREM FaceFusion script'ini bul\n157\tset \"FF_SCRIPT=%FF_DIR%\\facefusion.py\"\n158\tif not exist \"%FF_SCRIPT%\" set \"FF_SCRIPT=%FF_DIR%\\run.py\"\n159\t\n160\tif not exist \"%FF_SCRIPT%\" (\n161\t    echo HATA: FaceFusion bulunamadi!\n162\t    echo Once FaceFusion-Kur.bat dosyasini calistirin.\n163\t    pause\n164\t    exit /b 1\n165\t)\n166\t\n167\tcd /d \"%FF_DIR%\"\n168\t\n169\tREM Once temp klasore kaydet (Turkce karakter sorunu olmaz)\n170\t\"%VENV_PYTHON%\" \"%FF_SCRIPT%\" headless-run --source-paths \"%IMAGE%\" --target-path \"%VIDEO%\" --output-path \"%TEMP_OUTPUT%\" --processors %PROCESSORS% --execution-providers cuda --face-selector-mode %FACE_SEL% --face-detector-score 0.5 --output-video-quality %QUALITY%\n171\t\n172\techo.\n173\tif exist \"%TEMP_OUTPUT%\" (\n174\t    REM Videonun klasorune tasi\n175\t    move \"%TEMP_OUTPUT%\" \"%FINAL_OUTPUT%\" >nul 2>&1\n176\t    if exist \"%FINAL_OUTPUT%\" (\n177\t        echo ============================================\n178\t        echo   BASARILI! Yuz degistirme tamamlandi!\n179\t        echo   Cikis: %FINAL_OUTPUT%\n180\t        echo ============================================\n181\t    ) else (\n182\t        echo   [!] Tasima basarisiz, dosya temp klasorunde:\n183\t        echo   %TEMP_OUTPUT%\n184\t        echo ============================================\n185\t    )\n186\t) else (\n187\t    echo ============================================\n188\t    echo   HATA! Islem basarisiz oldu.\n189\t    echo ============================================\n190\t)\n191\techo.\n192\tpause\n193\t"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"e14d44fc-fc79-4b22-ab3f-3652b7bc0b30","timestamp":"2026-04-12T19:17:00.940Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/FaceFusion/FaceFusion-Baslat.bat","content":"@echo off\nchcp 65001 >nul\ntitle FaceFusion - Yuz Degistirme\nsetlocal enabledelayedexpansion\n\nset \"BASE_DIR=%~dp0\"\nset \"BASE_DIR=%BASE_DIR:~0,-1%\"\nset \"VENV_PYTHON=%BASE_DIR%\\venv\\Scripts\\python.exe\"\nset \"FF_DIR=%BASE_DIR%\\facefusion\"\nset \"FFMPEG_DIR=%BASE_DIR%\\ffmpeg\"\nset \"NVIDIA_PKGS=%BASE_DIR%\\venv\\Lib\\site-packages\\nvidia\"\nset \"TEMP_DIR=%BASE_DIR%\\temp\"\n\nset IMAGE=\nset VIDEO=\n\necho ============================================\necho   FACEFUSION - YUZ DEGISTIRME\necho   NVIDIA CUDA Hizlandirmali\necho ============================================\necho.\n\nREM Kurulum kontrolu\nif not exist \"%VENV_PYTHON%\" (\n    echo HATA: FaceFusion kurulu degil!\n    echo Once FaceFusion-Kur.bat dosyasini calistirin.\n    pause\n    exit /b 1\n)\n\nREM ============================================\nREM PATH AYARLA - CUDA + cuDNN DLL'leri icin\nREM ============================================\nset \"PATH=%BASE_DIR%\\venv\\Scripts;%FFMPEG_DIR%;%PATH%\"\nset \"PATH=C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin;%PATH%\"\n\nREM nvidia pip paketlerindeki tum DLL klasorlerini PATH'e ekle\nfor /d %%D in (\"%NVIDIA_PKGS%\\*\") do (\n    if exist \"%%D\\bin\" set \"PATH=%%D\\bin;!PATH!\"\n    if exist \"%%D\\lib\" set \"PATH=%%D\\lib;!PATH!\"\n)\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp4\" set \"VIDEO=%%~A\"\n    if /i \"!EXT!\"==\".mov\" set \"VIDEO=%%~A\"\n    if /i \"!EXT!\"==\".avi\" set \"VIDEO=%%~A\"\n    if /i \"!EXT!\"==\".mkv\" set \"VIDEO=%%~A\"\n    if /i \"!EXT!\"==\".wmv\" set \"VIDEO=%%~A\"\n    if /i \"!EXT!\"==\".webm\" set \"VIDEO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve video dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%VIDEO%\"==\"\" (\n    echo.\n    echo   [!] Video dosyasi bulunamadi.\n    set /p VIDEO=\"  Video yolu (mp4/mov): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%VIDEO%\"==\"\" (\n    echo HATA: Video dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim (yuz) : %IMAGE%\necho   Video       : %VIDEO%\necho.\n\nREM Ayarlar\necho   Yuz secim modu:\necho     1) one   - Tek yuz (Varsayilan)\necho     2) many  - Tum yuzler degissin\necho.\nset /p FACEMODE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FACEMODE%\"==\"\" set FACEMODE=1\nif \"%FACEMODE%\"==\"1\" set FACE_SEL=one\nif \"%FACEMODE%\"==\"2\" set FACE_SEL=many\nif not defined FACE_SEL set FACE_SEL=one\n\necho.\necho   Video kalitesi:\necho     1) 90  - Yuksek (Varsayilan)\necho     2) 100 - Maksimum (daha buyuk dosya)\necho     3) 70  - Orta (daha kucuk dosya)\necho.\nset /p QUALCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%QUALCHOICE%\"==\"\" set QUALCHOICE=1\nif \"%QUALCHOICE%\"==\"1\" set QUALITY=90\nif \"%QUALCHOICE%\"==\"2\" set QUALITY=100\nif \"%QUALCHOICE%\"==\"3\" set QUALITY=70\nif not defined QUALITY set QUALITY=90\n\necho.\necho   Islemciler:\necho     1) face_swapper              - Sadece yuz degistir (Varsayilan)\necho     2) face_swapper face_enhancer - Yuz degistir + iyilestir\necho.\nset /p PROCCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%PROCCHOICE%\"==\"\" set PROCCHOICE=1\nif \"%PROCCHOICE%\"==\"1\" set PROCESSORS=face_swapper\nif \"%PROCCHOICE%\"==\"2\" set PROCESSORS=face_swapper face_enhancer\nif not defined PROCESSORS set PROCESSORS=face_swapper\n\nREM Videonun klasorunu ve adini al\nfor %%F in (\"%VIDEO%\") do set \"VIDEO_DIR=%%~dpF\"\n\nREM Timestamp olustur\nfor /f \"tokens=2 delims==\" %%I in ('wmic os get localdatetime /value 2^>nul ^| find \"LocalDateTime\"') do set \"DT=%%I\"\nset \"TIMESTAMP=%DT:~0,8%_%DT:~8,6%\"\n\nREM Gecici cikis (ASCII-safe yol - Turkce karakter sorunu yok)\nif not exist \"%TEMP_DIR%\" mkdir \"%TEMP_DIR%\"\nset \"TEMP_OUTPUT=%TEMP_DIR%\\faceswap_%TIMESTAMP%.mp4\"\n\nREM Son cikis (videonun klasoru)\nset \"FINAL_OUTPUT=%VIDEO_DIR%faceswap_%TIMESTAMP%.mp4\"\n\necho.\necho ============================================\necho   Ayarlar:\necho     Yuz modu   : %FACE_SEL%\necho     Kalite     : %QUALITY%\necho     Islemciler : %PROCESSORS%\necho     Cikis      : %FINAL_OUTPUT%\necho ============================================\necho.\necho   Baslatiliyor...\necho.\n\nREM FaceFusion script'ini bul\nset \"FF_SCRIPT=%FF_DIR%\\facefusion.py\"\nif not exist \"%FF_SCRIPT%\" set \"FF_SCRIPT=%FF_DIR%\\run.py\"\n\nif not exist \"%FF_SCRIPT%\" (\n    echo HATA: FaceFusion bulunamadi!\n    echo Once FaceFusion-Kur.bat dosyasini calistirin.\n    pause\n    exit /b 1\n)\n\ncd /d \"%FF_DIR%\"\n\nREM Once temp klasore kaydet (Turkce karakter sorunu olmaz)\n\"%VENV_PYTHON%\" \"%FF_SCRIPT%\" headless-run --source-paths \"%IMAGE%\" --target-path \"%VIDEO%\" --output-path \"%TEMP_OUTPUT%\" --processors %PROCESSORS% --execution-providers cuda --face-selector-mode %FACE_SEL% --face-detector-score 0.5 --output-video-quality %QUALITY%\n\necho.\nif exist \"%TEMP_OUTPUT%\" (\n    REM Videonun klasorune tasi\n    move \"%TEMP_OUTPUT%\" \"%FINAL_OUTPUT%\" >nul 2>&1\n    if exist \"%FINAL_OUTPUT%\" (\n        echo ============================================\n        echo   BASARILI! Yuz degistirme tamamlandi!\n        echo   Cikis: %FINAL_OUTPUT%\n        echo ============================================\n    ) else (\n        echo   [!] Tasima basarisiz, dosya temp klasorunde:\n        echo   %TEMP_OUTPUT%\n        echo ============================================\n    )\n) else (\n    echo ============================================\n    echo   HATA! Islem basarisiz oldu.\n    echo ============================================\n)\necho.\npause\n","numLines":193,"startLine":1,"totalLines":193}},"_audit_timestamp":"2026-04-12T19:20:04.685Z","_audit_hmac":"e21b5d09ada10745812dd3ab367ac153ae833a7332c66c7d33c571c8c2235532"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01Fwdq4QmP3XZTMmqpNkE71D","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012FkWLpiyduP61QitwZ4KQr","name":"Bash","input":{"command":"ls /sessions/nifty-upbeat-hopper/mnt/video-uretim/FaceFusion/facefusion/ | head -30","description":"List facefusion subfolder"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":747,"cache_read_input_tokens":59181,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":747},"output_tokens":64,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"d0047e2f-3574-4f16-971a-240b94199038","_audit_timestamp":"2026-04-12T19:20:05.172Z","_audit_hmac":"1d2a022ceb0bb2b7a86566535f4c9b1239abcb3655afbdeef10c6678a412197c"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012FkWLpiyduP61QitwZ4KQr","type":"tool_result","content":"LICENSE.md\nREADME.md\nfacefusion\nfacefusion.ico\nfacefusion.ini\nfacefusion.py\ninstall.py\nmypy.ini\nrequirements.txt\ntests\n[rerun: b3]","is_error":false}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"49f2394c-4833-44da-97c8-aa348757ea7b","timestamp":"2026-04-12T19:17:01.558Z","tool_use_result":{"stdout":"LICENSE.md\nREADME.md\nfacefusion\nfacefusion.ico\nfacefusion.ini\nfacefusion.py\ninstall.py\nmypy.ini\nrequirements.txt\ntests","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"_audit_timestamp":"2026-04-12T19:20:05.231Z","_audit_hmac":"ab08bce9ef1fc05c6c2d3c4a4132992c16277f40e78cad0b4f47acfef9b59f46"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01UxdHzpaxAP2nDKN6UKWX3X","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KsuqFyp2aYozMD7FRwHjm7","name":"Bash","input":{"command":"ls /sessions/nifty-upbeat-hopper/mnt/video-uretim/FaceFusion/facefusion/facefusion/ 2>/dev/null | head -20","description":"List inner facefusion directory"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3121,"cache_read_input_tokens":59928,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3121},"output_tokens":66,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"182a2852-5a9c-4de7-9d68-52982b8bca35","_audit_timestamp":"2026-04-12T19:20:09.515Z","_audit_hmac":"6f39163120b210dc3b4c390357bc1699a492920ae15fcce4048e3c9767356ea4"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KsuqFyp2aYozMD7FRwHjm7","type":"tool_result","content":"__init__.py\n__pycache__\napp_context.py\nargs.py\naudio.py\nbenchmarker.py\ncamera_manager.py\nchoices.py\ncli_helper.py\ncommon_helper.py\nconda.py\nconfig.py\ncontent_analyser.py\ncore.py\ncurl_builder.py\ndownload.py\nexecution.py\nexit_helper.py\nface_analyser.py\nface_classifier.py\n[rerun: b4]","is_error":false}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"d7d5575d-45c2-4349-902a-f1d8b272e062","timestamp":"2026-04-12T19:17:05.890Z","tool_use_result":{"stdout":"__init__.py\n__pycache__\napp_context.py\nargs.py\naudio.py\nbenchmarker.py\ncamera_manager.py\nchoices.py\ncli_helper.py\ncommon_helper.py\nconda.py\nconfig.py\ncontent_analyser.py\ncore.py\ncurl_builder.py\ndownload.py\nexecution.py\nexit_helper.py\nface_analyser.py\nface_classifier.py","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"_audit_timestamp":"2026-04-12T19:20:09.673Z","_audit_hmac":"9d198c1a907119b0002d3ed2862b9b6b249afadb8217c5d1831a2663d53f7a02"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01Q6NotyZPXQTCnXAkdwPX1w","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi FaceFusion'ın headless-run komutunu kullanarak **resimlere** de face swap yapıp yapamadığını ve CLI parametrelerini kontrol edeyim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3364,"cache_read_input_tokens":59928,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3364},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"417a4bc6-742f-4537-9c41-001188a74b04","_audit_timestamp":"2026-04-12T19:20:12.790Z","_audit_hmac":"750516e913e1400af31103ab39cd7aa6c36a1b8bcc909d96c3751b5f622a63d8"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Uwt6iRNBMrwSSXmkuowu3a","type":"tool_result","content":"\tapply_state_item('output_image_quality', args.get('output_image_quality'))\r\n\tapply_state_item('output_image_scale', args.get('output_image_scale'))\n[rerun: b5]","is_error":false}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"ecca8450-0a27-47a3-a42f-daf7ec82a5db","timestamp":"2026-04-12T19:17:10.959Z","tool_use_result":{"stdout":"\tapply_state_item('output_image_quality', args.get('output_image_quality'))\r\n\tapply_state_item('output_image_scale', args.get('output_image_scale'))","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"_audit_timestamp":"2026-04-12T19:20:14.632Z","_audit_hmac":"0b9c67db2b2a4b276a0892fa13e2269d2eb01df0853ebfa8e6a3019643eb0b1b"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Xs4ZFPQ7vQfYiPz8z2nvA","type":"tool_result","content":"75:\tif state_manager.get_item('command') == 'headless-run':\r\n276:def process_headless(args : Args) -> ErrorCode:\r\n343:\tif is_image(state_manager.get_item('target_path')):\n[rerun: b7]","is_error":false}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"458df417-c3c6-4ad5-b47d-8ff772518a6e","timestamp":"2026-04-12T19:17:17.784Z","tool_use_result":{"stdout":"75:\tif state_manager.get_item('command') == 'headless-run':\r\n276:def process_headless(args : Args) -> ErrorCode:\r\n343:\tif is_image(state_manager.get_item('target_path')):","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"_audit_timestamp":"2026-04-12T19:20:21.441Z","_audit_hmac":"e876f261ce8fa469f113238d2c5918a541dab6a3cb5d1c7f684fdae473e1f5a1"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_015pVUCbkD5YB14Wo2nQV5fs","type":"message","role":"assistant","content":[{"type":"text","text":"FaceFusion zaten resim dosyasını da target olarak kabul ediyor. Yani `--target-path` olarak bir `.jpg` verdiğinde face swap yapıp çıktı olarak resim veriyor.\n\nŞimdi planı uygulayalım. `muzik_video_uret.py`'ye face swap özelliği ekleyeceğim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":235,"cache_read_input_tokens":63734,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":235},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"1999685d-35d8-4941-aeb3-748da19e5240","_audit_timestamp":"2026-04-12T19:20:26.186Z","_audit_hmac":"ce0874b993292837f3c9b333c8765a53296759fe1d067b395d10de849a489b04"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bkaf4brdkBNfwKgjpYQYEb","type":"tool_result","content":"340\t\t\tif not processor_module.pre_process('output'):\n341\t\t\t\treturn 2\n342\t\n343\t\tif is_image(state_manager.get_item('target_path')):\n344\t\t\treturn image_to_image.process(start_time)\n345\t\tif is_video(state_manager.get_item('target_path')):\n346\t\t\treturn image_to_video.process(start_time)\n347\t\n348\t\treturn 0\n349\t\n350\t\n351\t"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"67cfda89-0e41-4145-8678-1f2542907cdf","timestamp":"2026-04-12T19:17:23.560Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/FaceFusion/facefusion/facefusion/core.py","content":"\t\tif not processor_module.pre_process('output'):\n\t\t\treturn 2\n\n\tif is_image(state_manager.get_item('target_path')):\n\t\treturn image_to_image.process(start_time)\n\tif is_video(state_manager.get_item('target_path')):\n\t\treturn image_to_video.process(start_time)\n\n\treturn 0\n\n\n","numLines":12,"startLine":340,"totalLines":351}},"_audit_timestamp":"2026-04-12T19:20:27.264Z","_audit_hmac":"3ecbce44942a22009c2774db5d5f162b9b600404bdde6e37038c15510d9b62ec"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01UTfv8a3XAiNbHZcvSxT2dt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VxALo7FEgbLVEySsZkFyRn","name":"Read","input":{"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":380,"cache_read_input_tokens":64319,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":380},"output_tokens":62,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"af2dca03-997b-4ed8-8202-9c4b6b999df9","_audit_timestamp":"2026-04-12T19:20:35.787Z","_audit_hmac":"4aa161780c58722d12f88cf517d2ea1f2da0fd606f6a34e1104720b7a0eeee8c"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VxALo7FEgbLVEySsZkFyRn","type":"tool_result","content":"1\t@echo off\n2\tchcp 65001 >nul\n3\ttitle Muzik Video Uretici - LTX Desktop API\n4\tsetlocal enabledelayedexpansion\n5\t\n6\tset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\n7\tset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n8\t\n9\tset IMAGE=\n10\tset AUDIO=\n11\t\n12\techo ============================================\n13\techo   MUZIK VIDEO URETICI - LTX Desktop API\n14\techo   (LTX 2.3 Fast Model - Hizli Uretim)\n15\techo ============================================\n16\techo.\n17\t\n18\tREM Surukle birak ile gelen dosyalari ayikla\n19\tfor %%A in (%*) do (\n20\t    set \"FILE=%%~A\"\n21\t    set \"EXT=%%~xA\"\n22\t    \n23\t    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n24\t    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n25\t    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n26\t    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n27\t    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n28\t    \n29\t    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n30\t    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n31\t    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n32\t    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n33\t)\n34\t\n35\tREM Eger surukle birak ile gelmemisse sor\n36\tif \"%IMAGE%\"==\"\" (\n37\t    echo   [!] Resim dosyasi bulunamadi.\n38\t    echo       Resim ve sarki dosyalarini bu bat'in\n39\t    echo       ustune surukleyip birakin.\n40\t    echo.\n41\t    echo   VEYA asagiya elle yazin:\n42\t    echo.\n43\t    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n44\t)\n45\t\n46\tif \"%AUDIO%\"==\"\" (\n47\t    echo.\n48\t    echo   [!] Sarki dosyasi bulunamadi.\n49\t    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n50\t)\n51\t\n52\tif \"%IMAGE%\"==\"\" (\n53\t    echo HATA: Resim dosyasi gerekli!\n54\t    pause\n55\t    exit /b 1\n56\t)\n57\tif \"%AUDIO%\"==\"\" (\n58\t    echo HATA: Sarki dosyasi gerekli!\n59\t    pause\n60\t    exit /b 1\n61\t)\n62\t\n63\techo.\n64\techo   Resim : %IMAGE%\n65\techo   Sarki : %AUDIO%\n66\techo.\n67\tset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\n68\tif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n69\t\n70\techo.\n71\techo   Cozunurluk secin:\n72\techo     1) 540p (Varsayilan - Dengeli)\n73\techo     2) 720p (Yuksek kalite)\n74\techo     3) 512p (Dusuk - En hizli)\n75\techo.\n76\tset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\n77\tif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\n78\tif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\n79\tif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\n80\tif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\n81\tif not defined RESOLUTION set RESOLUTION=540p\n82\t\n83\techo.\n84\techo   En-boy orani:\n85\techo     1) 16:9 Yatay (Varsayilan - YouTube)\n86\techo     2) 9:16 Dikey (Shorts/Reels)\n87\techo.\n88\tset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\n89\tif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\n90\tif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\n91\tif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\n92\tif not defined ASPECT set ASPECT=16:9\n93\t\n94\techo.\n95\techo ============================================\n96\techo   Ayarlar:\n97\techo     Prompt: %PROMPT%\n98\techo     Cozunurluk: %RESOLUTION%\n99\techo     Oran: %ASPECT%\n100\techo     Model: fast (LTX 2.3 Fast)\n101\techo ============================================\n102\techo.\n103\techo   NOT: LTX Desktop'un acik olmasi gerekir!\n104\techo.\n105\techo   Baslatiliyor...\n106\techo.\n107\t\n108\t%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n109\t\n110\techo.\n111\techo ============================================\n112\techo   Islem tamamlandi!\n113\techo ============================================\n114\techo.\n115\tpause\n116\t"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"12be292e-cfb2-4892-a5e5-e198863aeedd","timestamp":"2026-04-12T19:17:32.135Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","content":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\n%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","numLines":116,"startLine":1,"totalLines":116}},"_audit_timestamp":"2026-04-12T19:20:35.843Z","_audit_hmac":"dbb5d4c3990ca6fa265f2ec7cae2b744f9c78438c660d9f491b54c7c9eb47042"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01TukohBJTx2oNcBwVGa8LFk","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi tam resmi anlıyorum. Yapılacak değişiklikler:\n\n1. `muzik_video_uret.py`'ye FaceFusion ile son kareye face swap uygulayan fonksiyon ekle\n2. Pipeline'da her segment sonrasında son kareye face swap uygula (opsiyonel `--face-swap` argümanı ile)\n3. Bat dosyasına face swap seçeneği ekle"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2041,"cache_read_input_tokens":64319,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2041},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"45ca5697-dfa0-448b-a83a-c4f52bf87772","_audit_timestamp":"2026-04-12T19:20:39.590Z","_audit_hmac":"a6f5d3297df55108cc97c6cd69ab8332f46e8cf2642925ff7048c9767fcabe9e"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01TukohBJTx2oNcBwVGa8LFk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018CSiehq7eVwbKhMjqUYMov","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","old_string":"FFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"","new_string":"FFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2041,"cache_read_input_tokens":64319,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2041},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"06bd73fe-26b7-48e2-96d2-a9d552f761a8","_audit_timestamp":"2026-04-12T19:20:42.058Z","_audit_hmac":"dad296297ae0c7b3cfb1f0169d592f5a166f1561321cd99956bd2247b00590e2"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018CSiehq7eVwbKhMjqUYMov","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"390e7531-8080-4360-b1ef-afbee69387bc","timestamp":"2026-04-12T19:17:38.481Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","oldString":"FFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"","newString":"FFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"","originalFile":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[{"oldStart":55,"oldLines":6,"newStart":55,"newLines":11,"lines":[" FFMPEG = \"ffmpeg\""," FFPROBE = \"ffprobe\""," ","+# FaceFusion ayarları","+FACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"","+FACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"","+FACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"","+"," # Çözünürlüğe göre max segment süresi (saniye)"," MAX_DURATION_BY_RESOLUTION = {","     \"512p\": 20,"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:20:42.185Z","_audit_hmac":"c61eeecf00d9341dbbde15b2556decbf162ed6cb2503627284b576ec3e46b9a8"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_019Mq9vZuGNj4dV5hiY798mT","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi face swap fonksiyonunu ekleyelim (extract_last_frame'den sonra):"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":66360,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":450},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"23d1ff82-2e7e-48df-a16d-119aaa3309d9","_audit_timestamp":"2026-04-12T19:20:45.147Z","_audit_hmac":"0a968f7dd69726586b24ca7bb7771d400f6585f4bac951bcd34f49c3d56146a4"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_019Mq9vZuGNj4dV5hiY798mT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011tUHJNZuXd8ckLr2uJK9Bf","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","old_string":"def concatenate_videos(video_list, output_path):","new_string":"def face_swap_image(source_face_path, target_image_path, output_path):\n    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.\n\n    Args:\n        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)\n        target_image_path: Hedef resim (yüzü değiştirilecek)\n        output_path: Çıkış resmi yolu\n\n    Returns:\n        True başarılı, False başarısız\n    \"\"\"\n    if not FACEFUSION_VENV_PYTHON.exists():\n        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")\n        return False\n\n    ff_script = FACEFUSION_SCRIPT\n    if not ff_script.exists():\n        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"\n    if not ff_script.exists():\n        print(f\"  HATA: FaceFusion script bulunamadı!\")\n        return False\n\n    source_abs = str(Path(source_face_path).resolve())\n    target_abs = str(Path(target_image_path).resolve())\n    output_abs = str(Path(output_path).resolve())\n\n    # CUDA DLL'leri için PATH ayarla\n    env = os.environ.copy()\n    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"\n    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]\n    if nvidia_pkgs.exists():\n        for d in nvidia_pkgs.iterdir():\n            if d.is_dir():\n                bin_dir = d / \"bin\"\n                lib_dir = d / \"lib\"\n                if bin_dir.exists():\n                    extra_paths.append(str(bin_dir))\n                if lib_dir.exists():\n                    extra_paths.append(str(lib_dir))\n    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"\n    if os.path.exists(cuda_path):\n        extra_paths.append(cuda_path)\n    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")\n\n    cmd = [\n        str(FACEFUSION_VENV_PYTHON),\n        str(ff_script),\n        \"headless-run\",\n        \"--source-paths\", source_abs,\n        \"--target-path\", target_abs,\n        \"--output-path\", output_abs,\n        \"--processors\", \"face_swapper\",\n        \"--execution-providers\", \"cuda\",\n        \"--face-selector-mode\", \"one\",\n        \"--face-detector-score\", \"0.5\",\n        \"--output-image-quality\", \"95\"\n    ]\n\n    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")\n    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")\n    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")\n\n    try:\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=120,\n            cwd=str(FACEFUSION_DIR / \"facefusion\"),\n            env=env\n        )\n\n        if Path(output_abs).exists():\n            print(f\"  [FACE SWAP] Başarılı!\")\n            return True\n        else:\n            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")\n            if result.stderr:\n                print(f\"  stderr: {result.stderr[:500]}\")\n            return False\n    except subprocess.TimeoutExpired:\n        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")\n        return False\n    except Exception as e:\n        print(f\"  [FACE SWAP] HATA: {e}\")\n        return False\n\n\ndef concatenate_videos(video_list, output_path):"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":66360,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":450},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"218bd5f5-27b8-4503-a5b2-698f7e81abbe","_audit_timestamp":"2026-04-12T19:20:58.561Z","_audit_hmac":"a68e45fe662726f5c7988d01d0ec22e246b6e59e75974734b1bfa464e949b091"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011tUHJNZuXd8ckLr2uJK9Bf","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"848caff0-bcd4-4fea-a0cb-7b0f440bf014","timestamp":"2026-04-12T19:17:54.935Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","oldString":"def concatenate_videos(video_list, output_path):","newString":"def face_swap_image(source_face_path, target_image_path, output_path):\n    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.\n\n    Args:\n        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)\n        target_image_path: Hedef resim (yüzü değiştirilecek)\n        output_path: Çıkış resmi yolu\n\n    Returns:\n        True başarılı, False başarısız\n    \"\"\"\n    if not FACEFUSION_VENV_PYTHON.exists():\n        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")\n        return False\n\n    ff_script = FACEFUSION_SCRIPT\n    if not ff_script.exists():\n        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"\n    if not ff_script.exists():\n        print(f\"  HATA: FaceFusion script bulunamadı!\")\n        return False\n\n    source_abs = str(Path(source_face_path).resolve())\n    target_abs = str(Path(target_image_path).resolve())\n    output_abs = str(Path(output_path).resolve())\n\n    # CUDA DLL'leri için PATH ayarla\n    env = os.environ.copy()\n    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"\n    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]\n    if nvidia_pkgs.exists():\n        for d in nvidia_pkgs.iterdir():\n            if d.is_dir():\n                bin_dir = d / \"bin\"\n                lib_dir = d / \"lib\"\n                if bin_dir.exists():\n                    extra_paths.append(str(bin_dir))\n                if lib_dir.exists():\n                    extra_paths.append(str(lib_dir))\n    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"\n    if os.path.exists(cuda_path):\n        extra_paths.append(cuda_path)\n    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")\n\n    cmd = [\n        str(FACEFUSION_VENV_PYTHON),\n        str(ff_script),\n        \"headless-run\",\n        \"--source-paths\", source_abs,\n        \"--target-path\", target_abs,\n        \"--output-path\", output_abs,\n        \"--processors\", \"face_swapper\",\n        \"--execution-providers\", \"cuda\",\n        \"--face-selector-mode\", \"one\",\n        \"--face-detector-score\", \"0.5\",\n        \"--output-image-quality\", \"95\"\n    ]\n\n    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")\n    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")\n    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")\n\n    try:\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=120,\n            cwd=str(FACEFUSION_DIR / \"facefusion\"),\n            env=env\n        )\n\n        if Path(output_abs).exists():\n            print(f\"  [FACE SWAP] Başarılı!\")\n            return True\n        else:\n            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")\n            if result.stderr:\n                print(f\"  stderr: {result.stderr[:500]}\")\n            return False\n    except subprocess.TimeoutExpired:\n        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")\n        return False\n    except Exception as e:\n        print(f\"  [FACE SWAP] HATA: {e}\")\n        return False\n\n\ndef concatenate_videos(video_list, output_path):","originalFile":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[{"oldStart":539,"oldLines":6,"newStart":539,"newLines":94,"lines":["     print(f\"  Son kare çıkarıldı: {output_path}\")"," "," ","+def face_swap_image(source_face_path, target_image_path, output_path):","+    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.","+","+    Args:","+        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)","+        target_image_path: Hedef resim (yüzü değiştirilecek)","+        output_path: Çıkış resmi yolu","+","+    Returns:","+        True başarılı, False başarısız","+    \"\"\"","+    if not FACEFUSION_VENV_PYTHON.exists():","+        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")","+        return False","+","+    ff_script = FACEFUSION_SCRIPT","+    if not ff_script.exists():","+        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"","+    if not ff_script.exists():","+        print(f\"  HATA: FaceFusion script bulunamadı!\")","+        return False","+","+    source_abs = str(Path(source_face_path).resolve())","+    target_abs = str(Path(target_image_path).resolve())","+    output_abs = str(Path(output_path).resolve())","+","+    # CUDA DLL'leri için PATH ayarla","+    env = os.environ.copy()","+    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"","+    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]","+    if nvidia_pkgs.exists():","+        for d in nvidia_pkgs.iterdir():","+            if d.is_dir():","+                bin_dir = d / \"bin\"","+                lib_dir = d / \"lib\"","+                if bin_dir.exists():","+                    extra_paths.append(str(bin_dir))","+                if lib_dir.exists():","+                    extra_paths.append(str(lib_dir))","+    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"","+    if os.path.exists(cuda_path):","+        extra_paths.append(cuda_path)","+    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")","+","+    cmd = [","+        str(FACEFUSION_VENV_PYTHON),","+        str(ff_script),","+        \"headless-run\",","+        \"--source-paths\", source_abs,","+        \"--target-path\", target_abs,","+        \"--output-path\", output_abs,","+        \"--processors\", \"face_swapper\",","+        \"--execution-providers\", \"cuda\",","+        \"--face-selector-mode\", \"one\",","+        \"--face-detector-score\", \"0.5\",","+        \"--output-image-quality\", \"95\"","+    ]","+","+    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")","+    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")","+    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")","+","+    try:","+        result = subprocess.run(","+            cmd,","+            capture_output=True,","+            text=True,","+            timeout=120,","+            cwd=str(FACEFUSION_DIR / \"facefusion\"),","+            env=env","+        )","+","+        if Path(output_abs).exists():","+            print(f\"  [FACE SWAP] Başarılı!\")","+            return True","+        else:","+            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")","+            if result.stderr:","+                print(f\"  stderr: {result.stderr[:500]}\")","+            return False","+    except subprocess.TimeoutExpired:","+        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")","+        return False","+    except Exception as e:","+        print(f\"  [FACE SWAP] HATA: {e}\")","+        return False","+","+"," def concatenate_videos(video_list, output_path):","     \"\"\"Videoları birleştirir.\"\"\"","     list_file = output_path.parent / \"concat_list.txt\""]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:20:58.596Z","_audit_hmac":"a5f1d8b735e04780e25e07435a7be63f7b80a8f8ca33b6c766dcb63d7cdc0997"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_011iUUq2hQ7opyJD1rx8P2BG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AKC2sUoNAkdLyAoDj2RqY6","name":"TodoWrite","input":{"todos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"in_progress","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"pending","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula ve test et","status":"pending","activeForm":"Kod doğrulanıyor"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1292,"cache_read_input_tokens":66810,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1292},"output_tokens":73,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"cca894ca-faa1-49fd-8dfc-fae872f2b026","_audit_timestamp":"2026-04-12T19:21:03.007Z","_audit_hmac":"d0a2701949a2bd60180bc0da31698c50a6bc5fb0c3ef6934b51c41a653330d7f"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AKC2sUoNAkdLyAoDj2RqY6","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"d4322b21-45b7-4cb9-9f22-cfb671ea8516","timestamp":"2026-04-12T19:17:59.352Z","tool_use_result":{"oldTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"in_progress","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"pending","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"pending","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula ve test et","status":"pending","activeForm":"Kod doğrulanıyor"}],"newTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"in_progress","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"pending","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula ve test et","status":"pending","activeForm":"Kod doğrulanıyor"}],"verificationNudgeNeeded":false},"_audit_timestamp":"2026-04-12T19:21:03.065Z","_audit_hmac":"b2435ee8fb8a2711edb624147919edbd31252c563fc1203ceb5a6178f45643b1"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01MP9ZsMdGJDKXQMVxthWDD7","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi argüman parser'a `--face-swap` ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":324,"cache_read_input_tokens":68102,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":324},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"78edabd4-bd3f-4537-93a9-356a83586620","_audit_timestamp":"2026-04-12T19:21:05.268Z","_audit_hmac":"5b44a8b0a2f1fab6f63d4b5e8a468afc13e28f83ed9db120b7e267e06f9c35c0"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01MP9ZsMdGJDKXQMVxthWDD7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XjV9sFG4WN2Yk4mXAF5Y58","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","old_string":"    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")","new_string":"    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    parser.add_argument(\"--face-swap\", \"-f\", default=None,\n                        help=\"Face swap için kaynak yüz resmi. Belirtilirse her segmentin son karesine face swap uygulanır ve sonraki segmente o yüzle devam edilir.\")"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":324,"cache_read_input_tokens":68102,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":324},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"30333b6a-a003-4ba0-ad51-704de401071e","_audit_timestamp":"2026-04-12T19:21:08.833Z","_audit_hmac":"4ad2e96b8608b82d7cc6fa8bdfd052a0f22235b5f95a49dda04e095b289e1235"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XjV9sFG4WN2Yk4mXAF5Y58","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"8f3b68da-a5e3-4711-84a4-41b66b933a87","timestamp":"2026-04-12T19:18:05.198Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","oldString":"    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")","newString":"    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    parser.add_argument(\"--face-swap\", \"-f\", default=None,\n                        help=\"Face swap için kaynak yüz resmi. Belirtilirse her segmentin son karesine face swap uygulanır ve sonraki segmente o yüzle devam edilir.\")","originalFile":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef face_swap_image(source_face_path, target_image_path, output_path):\n    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.\n\n    Args:\n        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)\n        target_image_path: Hedef resim (yüzü değiştirilecek)\n        output_path: Çıkış resmi yolu\n\n    Returns:\n        True başarılı, False başarısız\n    \"\"\"\n    if not FACEFUSION_VENV_PYTHON.exists():\n        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")\n        return False\n\n    ff_script = FACEFUSION_SCRIPT\n    if not ff_script.exists():\n        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"\n    if not ff_script.exists():\n        print(f\"  HATA: FaceFusion script bulunamadı!\")\n        return False\n\n    source_abs = str(Path(source_face_path).resolve())\n    target_abs = str(Path(target_image_path).resolve())\n    output_abs = str(Path(output_path).resolve())\n\n    # CUDA DLL'leri için PATH ayarla\n    env = os.environ.copy()\n    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"\n    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]\n    if nvidia_pkgs.exists():\n        for d in nvidia_pkgs.iterdir():\n            if d.is_dir():\n                bin_dir = d / \"bin\"\n                lib_dir = d / \"lib\"\n                if bin_dir.exists():\n                    extra_paths.append(str(bin_dir))\n                if lib_dir.exists():\n                    extra_paths.append(str(lib_dir))\n    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"\n    if os.path.exists(cuda_path):\n        extra_paths.append(cuda_path)\n    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")\n\n    cmd = [\n        str(FACEFUSION_VENV_PYTHON),\n        str(ff_script),\n        \"headless-run\",\n        \"--source-paths\", source_abs,\n        \"--target-path\", target_abs,\n        \"--output-path\", output_abs,\n        \"--processors\", \"face_swapper\",\n        \"--execution-providers\", \"cuda\",\n        \"--face-selector-mode\", \"one\",\n        \"--face-detector-score\", \"0.5\",\n        \"--output-image-quality\", \"95\"\n    ]\n\n    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")\n    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")\n    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")\n\n    try:\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=120,\n            cwd=str(FACEFUSION_DIR / \"facefusion\"),\n            env=env\n        )\n\n        if Path(output_abs).exists():\n            print(f\"  [FACE SWAP] Başarılı!\")\n            return True\n        else:\n            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")\n            if result.stderr:\n                print(f\"  stderr: {result.stderr[:500]}\")\n            return False\n    except subprocess.TimeoutExpired:\n        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")\n        return False\n    except Exception as e:\n        print(f\"  [FACE SWAP] HATA: {e}\")\n        return False\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[{"oldStart":691,"oldLines":6,"newStart":691,"newLines":8,"lines":["                         help=\"Segment süresi (saniye, varsayılan: 20)\")","     parser.add_argument(\"--port\", type=int, default=None,","                         help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")","+    parser.add_argument(\"--face-swap\", \"-f\", default=None,","+                        help=\"Face swap için kaynak yüz resmi. Belirtilirse her segmentin son karesine face swap uygulanır ve sonraki segmente o yüzle devam edilir.\")","     ","     args = parser.parse_args()","     "]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:21:08.891Z","_audit_hmac":"d6d66bbd44008ffa9700e153a50a19891dfd726497acfd1682228edea352cf67"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01KNJT4nY1xmUf49CwLvZEzj","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi face swap kaynak dosyasını kontrol eden kısmı ve pipeline'daki son kare çıkarma sonrasına face swap entegrasyonunu ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":375,"cache_read_input_tokens":68426,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":375},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"145acf5f-0e7d-4e3c-b8c8-f85969ba114d","_audit_timestamp":"2026-04-12T19:21:11.959Z","_audit_hmac":"1fd52258f6f134fb74c763a3cd61b41394c522476b5de4d1e7c84e67b5a3ecbd"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01KNJT4nY1xmUf49CwLvZEzj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012AF8yMpMRZHVXtZG8J7eK3","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","old_string":"    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)","new_string":"    face_swap_source = None\n    if args.face_swap:\n        face_swap_source = Path(args.face_swap).resolve()\n        if not face_swap_source.exists():\n            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")\n            sys.exit(1)\n        if not FACEFUSION_VENV_PYTHON.exists():\n            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")\n            sys.exit(1)\n\n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":375,"cache_read_input_tokens":68426,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":375},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"566d0cb3-52f5-4b57-a3cc-0896a36dae16","_audit_timestamp":"2026-04-12T19:21:16.184Z","_audit_hmac":"0259c59a1c159e12b42f4d552de0d02010e51b8e3167b3f32aa0cb3c77c8a451"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012AF8yMpMRZHVXtZG8J7eK3","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"ec293a39-5c99-4df7-a969-5b451eff8210","timestamp":"2026-04-12T19:18:12.553Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","oldString":"    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)","newString":"    face_swap_source = None\n    if args.face_swap:\n        face_swap_source = Path(args.face_swap).resolve()\n        if not face_swap_source.exists():\n            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")\n            sys.exit(1)\n        if not FACEFUSION_VENV_PYTHON.exists():\n            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")\n            sys.exit(1)\n\n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)","originalFile":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef face_swap_image(source_face_path, target_image_path, output_path):\n    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.\n\n    Args:\n        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)\n        target_image_path: Hedef resim (yüzü değiştirilecek)\n        output_path: Çıkış resmi yolu\n\n    Returns:\n        True başarılı, False başarısız\n    \"\"\"\n    if not FACEFUSION_VENV_PYTHON.exists():\n        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")\n        return False\n\n    ff_script = FACEFUSION_SCRIPT\n    if not ff_script.exists():\n        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"\n    if not ff_script.exists():\n        print(f\"  HATA: FaceFusion script bulunamadı!\")\n        return False\n\n    source_abs = str(Path(source_face_path).resolve())\n    target_abs = str(Path(target_image_path).resolve())\n    output_abs = str(Path(output_path).resolve())\n\n    # CUDA DLL'leri için PATH ayarla\n    env = os.environ.copy()\n    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"\n    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]\n    if nvidia_pkgs.exists():\n        for d in nvidia_pkgs.iterdir():\n            if d.is_dir():\n                bin_dir = d / \"bin\"\n                lib_dir = d / \"lib\"\n                if bin_dir.exists():\n                    extra_paths.append(str(bin_dir))\n                if lib_dir.exists():\n                    extra_paths.append(str(lib_dir))\n    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"\n    if os.path.exists(cuda_path):\n        extra_paths.append(cuda_path)\n    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")\n\n    cmd = [\n        str(FACEFUSION_VENV_PYTHON),\n        str(ff_script),\n        \"headless-run\",\n        \"--source-paths\", source_abs,\n        \"--target-path\", target_abs,\n        \"--output-path\", output_abs,\n        \"--processors\", \"face_swapper\",\n        \"--execution-providers\", \"cuda\",\n        \"--face-selector-mode\", \"one\",\n        \"--face-detector-score\", \"0.5\",\n        \"--output-image-quality\", \"95\"\n    ]\n\n    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")\n    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")\n    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")\n\n    try:\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=120,\n            cwd=str(FACEFUSION_DIR / \"facefusion\"),\n            env=env\n        )\n\n        if Path(output_abs).exists():\n            print(f\"  [FACE SWAP] Başarılı!\")\n            return True\n        else:\n            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")\n            if result.stderr:\n                print(f\"  stderr: {result.stderr[:500]}\")\n            return False\n    except subprocess.TimeoutExpired:\n        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")\n        return False\n    except Exception as e:\n        print(f\"  [FACE SWAP] HATA: {e}\")\n        return False\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    parser.add_argument(\"--face-swap\", \"-f\", default=None,\n                        help=\"Face swap için kaynak yüz resmi. Belirtilirse her segmentin son karesine face swap uygulanır ve sonraki segmente o yüzle devam edilir.\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[{"oldStart":699,"oldLines":6,"newStart":699,"newLines":16,"lines":["     audio_path = Path(args.audio).resolve()","     image_path = Path(args.image).resolve()","     ","+    face_swap_source = None","+    if args.face_swap:","+        face_swap_source = Path(args.face_swap).resolve()","+        if not face_swap_source.exists():","+            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")","+            sys.exit(1)","+        if not FACEFUSION_VENV_PYTHON.exists():","+            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")","+            sys.exit(1)","+","     if not audio_path.exists():","         print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")","         sys.exit(1)"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:21:16.233Z","_audit_hmac":"fe71ab1d1b926cfd77dfe69cd6aaf9421089eec9370a954db8d0d171797c3d2e"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_0145RBmJAKb9QBTpx2AiBgiD","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi bilgi çıktısına face swap durumunu ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":574,"cache_read_input_tokens":68801,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":574},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"48223da7-c87a-460a-9cdb-f3c68b4c91f9","_audit_timestamp":"2026-04-12T19:21:18.555Z","_audit_hmac":"5a012148565d89368a0f542baec31bda3be5ef064bc5dcdd631659de49a13893"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_0145RBmJAKb9QBTpx2AiBgiD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Wz8vcdn4c8tDATUTN8E23S","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","old_string":"    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)","new_string":"    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Face Swap: {'AÇIK - ' + str(face_swap_source) if face_swap_source else 'Kapalı'}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":574,"cache_read_input_tokens":68801,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":574},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"1da64c7a-2c66-4140-a5d2-733a3e56a92c","_audit_timestamp":"2026-04-12T19:21:21.710Z","_audit_hmac":"e05c48a0325cb843c84aec745f0ddc617c57e28d79ea20de967235c8b7a972c4"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wz8vcdn4c8tDATUTN8E23S","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"e9c1e322-5e91-429a-a2e7-10b936ea584c","timestamp":"2026-04-12T19:18:18.081Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","oldString":"    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)","newString":"    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Face Swap: {'AÇIK - ' + str(face_swap_source) if face_swap_source else 'Kapalı'}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)","originalFile":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef face_swap_image(source_face_path, target_image_path, output_path):\n    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.\n\n    Args:\n        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)\n        target_image_path: Hedef resim (yüzü değiştirilecek)\n        output_path: Çıkış resmi yolu\n\n    Returns:\n        True başarılı, False başarısız\n    \"\"\"\n    if not FACEFUSION_VENV_PYTHON.exists():\n        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")\n        return False\n\n    ff_script = FACEFUSION_SCRIPT\n    if not ff_script.exists():\n        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"\n    if not ff_script.exists():\n        print(f\"  HATA: FaceFusion script bulunamadı!\")\n        return False\n\n    source_abs = str(Path(source_face_path).resolve())\n    target_abs = str(Path(target_image_path).resolve())\n    output_abs = str(Path(output_path).resolve())\n\n    # CUDA DLL'leri için PATH ayarla\n    env = os.environ.copy()\n    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"\n    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]\n    if nvidia_pkgs.exists():\n        for d in nvidia_pkgs.iterdir():\n            if d.is_dir():\n                bin_dir = d / \"bin\"\n                lib_dir = d / \"lib\"\n                if bin_dir.exists():\n                    extra_paths.append(str(bin_dir))\n                if lib_dir.exists():\n                    extra_paths.append(str(lib_dir))\n    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"\n    if os.path.exists(cuda_path):\n        extra_paths.append(cuda_path)\n    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")\n\n    cmd = [\n        str(FACEFUSION_VENV_PYTHON),\n        str(ff_script),\n        \"headless-run\",\n        \"--source-paths\", source_abs,\n        \"--target-path\", target_abs,\n        \"--output-path\", output_abs,\n        \"--processors\", \"face_swapper\",\n        \"--execution-providers\", \"cuda\",\n        \"--face-selector-mode\", \"one\",\n        \"--face-detector-score\", \"0.5\",\n        \"--output-image-quality\", \"95\"\n    ]\n\n    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")\n    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")\n    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")\n\n    try:\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=120,\n            cwd=str(FACEFUSION_DIR / \"facefusion\"),\n            env=env\n        )\n\n        if Path(output_abs).exists():\n            print(f\"  [FACE SWAP] Başarılı!\")\n            return True\n        else:\n            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")\n            if result.stderr:\n                print(f\"  stderr: {result.stderr[:500]}\")\n            return False\n    except subprocess.TimeoutExpired:\n        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")\n        return False\n    except Exception as e:\n        print(f\"  [FACE SWAP] HATA: {e}\")\n        return False\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    parser.add_argument(\"--face-swap\", \"-f\", default=None,\n                        help=\"Face swap için kaynak yüz resmi. Belirtilirse her segmentin son karesine face swap uygulanır ve sonraki segmente o yüzle devam edilir.\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    face_swap_source = None\n    if args.face_swap:\n        face_swap_source = Path(args.face_swap).resolve()\n        if not face_swap_source.exists():\n            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")\n            sys.exit(1)\n        if not FACEFUSION_VENV_PYTHON.exists():\n            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")\n            sys.exit(1)\n\n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[{"oldStart":751,"oldLines":6,"newStart":751,"newLines":7,"lines":["     print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")","     print(f\"  Model: {VIDEO_MODEL}\")","     print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")","+    print(f\"  Face Swap: {'AÇIK - ' + str(face_swap_source) if face_swap_source else 'Kapalı'}\")","     print(f\"  Çıkış: {output_path}\")","     print(\"=\" * 60)","     "]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:21:21.743Z","_audit_hmac":"c1ba2f7c99334198bef73387d4c25b8fafc755cf0bac7dacc0673eb1f205169c"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_016JVrJ3kdVEUAFukLVqpsDH","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi en kritik kısım: pipeline'da son kare çıkarıldıktan sonra face swap uygulama. Mevcut kodu bulup düzenleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":384,"cache_read_input_tokens":69375,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":384},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"f833ced8-75c1-40c5-9e33-2492c446bb13","_audit_timestamp":"2026-04-12T19:21:24.898Z","_audit_hmac":"8fe645c63a7ca73ae865ef8fc5b46fda93443949965fa5010b1b357fde034718"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_016JVrJ3kdVEUAFukLVqpsDH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BSXndZrvH7y2SN9aTRoRyK","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","old_string":"        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")","new_string":"        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n\n                # Face swap: son karedeki yüzü değiştir\n                if face_swap_source:\n                    swapped_image = frames_dir / f\"frame_{i:03d}_swapped.jpg\"\n                    if face_swap_image(face_swap_source, next_image, swapped_image):\n                        current_image = swapped_image\n                        print(f\"  [FACE SWAP] Sonraki segment face swap'lı kare ile devam edecek\")\n                    else:\n                        print(f\"  [FACE SWAP] Başarısız, orijinal son kare kullanılacak\")\n                        current_image = next_image\n                else:\n                    current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":384,"cache_read_input_tokens":69375,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":384},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"753b7d83-5083-4bf6-a1f7-338e18a9ed9a","_audit_timestamp":"2026-04-12T19:21:30.357Z","_audit_hmac":"f3427e7e1a5c745bc8f4e3a8b072b83ff5b6accf696954e41a951dd9539053de"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BSXndZrvH7y2SN9aTRoRyK","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"451745da-a1c3-4dfd-abe3-04528e01e276","timestamp":"2026-04-12T19:18:26.723Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","oldString":"        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")","newString":"        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n\n                # Face swap: son karedeki yüzü değiştir\n                if face_swap_source:\n                    swapped_image = frames_dir / f\"frame_{i:03d}_swapped.jpg\"\n                    if face_swap_image(face_swap_source, next_image, swapped_image):\n                        current_image = swapped_image\n                        print(f\"  [FACE SWAP] Sonraki segment face swap'lı kare ile devam edecek\")\n                    else:\n                        print(f\"  [FACE SWAP] Başarısız, orijinal son kare kullanılacak\")\n                        current_image = next_image\n                else:\n                    current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")","originalFile":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef face_swap_image(source_face_path, target_image_path, output_path):\n    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.\n\n    Args:\n        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)\n        target_image_path: Hedef resim (yüzü değiştirilecek)\n        output_path: Çıkış resmi yolu\n\n    Returns:\n        True başarılı, False başarısız\n    \"\"\"\n    if not FACEFUSION_VENV_PYTHON.exists():\n        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")\n        return False\n\n    ff_script = FACEFUSION_SCRIPT\n    if not ff_script.exists():\n        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"\n    if not ff_script.exists():\n        print(f\"  HATA: FaceFusion script bulunamadı!\")\n        return False\n\n    source_abs = str(Path(source_face_path).resolve())\n    target_abs = str(Path(target_image_path).resolve())\n    output_abs = str(Path(output_path).resolve())\n\n    # CUDA DLL'leri için PATH ayarla\n    env = os.environ.copy()\n    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"\n    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]\n    if nvidia_pkgs.exists():\n        for d in nvidia_pkgs.iterdir():\n            if d.is_dir():\n                bin_dir = d / \"bin\"\n                lib_dir = d / \"lib\"\n                if bin_dir.exists():\n                    extra_paths.append(str(bin_dir))\n                if lib_dir.exists():\n                    extra_paths.append(str(lib_dir))\n    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"\n    if os.path.exists(cuda_path):\n        extra_paths.append(cuda_path)\n    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")\n\n    cmd = [\n        str(FACEFUSION_VENV_PYTHON),\n        str(ff_script),\n        \"headless-run\",\n        \"--source-paths\", source_abs,\n        \"--target-path\", target_abs,\n        \"--output-path\", output_abs,\n        \"--processors\", \"face_swapper\",\n        \"--execution-providers\", \"cuda\",\n        \"--face-selector-mode\", \"one\",\n        \"--face-detector-score\", \"0.5\",\n        \"--output-image-quality\", \"95\"\n    ]\n\n    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")\n    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")\n    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")\n\n    try:\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=120,\n            cwd=str(FACEFUSION_DIR / \"facefusion\"),\n            env=env\n        )\n\n        if Path(output_abs).exists():\n            print(f\"  [FACE SWAP] Başarılı!\")\n            return True\n        else:\n            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")\n            if result.stderr:\n                print(f\"  stderr: {result.stderr[:500]}\")\n            return False\n    except subprocess.TimeoutExpired:\n        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")\n        return False\n    except Exception as e:\n        print(f\"  [FACE SWAP] HATA: {e}\")\n        return False\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    parser.add_argument(\"--face-swap\", \"-f\", default=None,\n                        help=\"Face swap için kaynak yüz resmi. Belirtilirse her segmentin son karesine face swap uygulanır ve sonraki segmente o yüzle devam edilir.\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    face_swap_source = None\n    if args.face_swap:\n        face_swap_source = Path(args.face_swap).resolve()\n        if not face_swap_source.exists():\n            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")\n            sys.exit(1)\n        if not FACEFUSION_VENV_PYTHON.exists():\n            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")\n            sys.exit(1)\n\n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Face Swap: {'AÇIK - ' + str(face_swap_source) if face_swap_source else 'Kapalı'}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n                current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[{"oldStart":837,"oldLines":7,"newStart":837,"newLines":18,"lines":["             next_image = frames_dir / f\"frame_{i:03d}.jpg\"","             try:","                 extract_last_frame(seg_video, next_image)","-                current_image = next_image","+","+                # Face swap: son karedeki yüzü değiştir","+                if face_swap_source:","+                    swapped_image = frames_dir / f\"frame_{i:03d}_swapped.jpg\"","+                    if face_swap_image(face_swap_source, next_image, swapped_image):","+                        current_image = swapped_image","+                        print(f\"  [FACE SWAP] Sonraki segment face swap'lı kare ile devam edecek\")","+                    else:","+                        print(f\"  [FACE SWAP] Başarısız, orijinal son kare kullanılacak\")","+                        current_image = next_image","+                else:","+                    current_image = next_image","             except Exception as e:","                 print(f\"  UYARI: Son kare çıkarılamadı: {e}\")","     "]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:21:30.419Z","_audit_hmac":"afc3839b54e3e0738a520a0bd81034a66c00c72510d0660cbc149e689c2443fd"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01L8hTnVkE9N9wCiWn27TQfs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TSTGcc94wukVYMpFcZphdU","name":"TodoWrite","input":{"todos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"in_progress","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula ve test et","status":"pending","activeForm":"Kod doğrulanıyor"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":614,"cache_read_input_tokens":69759,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":614},"output_tokens":73,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"79cd813f-5d0d-45aa-8ae7-3b6cdae4a3b5","_audit_timestamp":"2026-04-12T19:21:34.478Z","_audit_hmac":"d657c5d99d93a01d3ec258804fd92d93b39a58fdaff123ffaa80e41c38f7a5a0"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TSTGcc94wukVYMpFcZphdU","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"83c30f98-d587-4f0c-b69c-7f46e647e606","timestamp":"2026-04-12T19:18:30.823Z","tool_use_result":{"oldTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"in_progress","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"pending","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula ve test et","status":"pending","activeForm":"Kod doğrulanıyor"}],"newTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"in_progress","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula ve test et","status":"pending","activeForm":"Kod doğrulanıyor"}],"verificationNudgeNeeded":false},"_audit_timestamp":"2026-04-12T19:21:34.633Z","_audit_hmac":"5487149d0c8fdf0310eba396a317d85ba8e380cb7ff084e0aa7c1aa856f9482c"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01WUsNYvKeY4U57EFKwtdUU7","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi bat dosyasına face swap seçeneğini ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":324,"cache_read_input_tokens":70373,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":324},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"1a877347-e6a2-4bca-a54e-edd7b7599913","_audit_timestamp":"2026-04-12T19:21:36.884Z","_audit_hmac":"ee868cc715ccabc51182d9f1183478a8cfa897228f49944fc1f8a9527f6f1569"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01WUsNYvKeY4U57EFKwtdUU7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011zzpGHWEFkoeFNxgjfFPPu","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","old_string":"set IMAGE=\nset AUDIO=","new_string":"set IMAGE=\nset AUDIO=\nset FACEIMG="},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":324,"cache_read_input_tokens":70373,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":324},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"5907caad-20f7-4da1-9286-527d9ef84e3c","_audit_timestamp":"2026-04-12T19:21:38.318Z","_audit_hmac":"792dde30df2892954775d5ddc719121b15d548d305b86e465e18d5f6d18b3b1a"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011zzpGHWEFkoeFNxgjfFPPu","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"50c0666d-2788-402c-a3a6-742079b8596a","timestamp":"2026-04-12T19:18:34.679Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","oldString":"set IMAGE=\nset AUDIO=","newString":"set IMAGE=\nset AUDIO=\nset FACEIMG=","originalFile":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\n%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" "," set IMAGE="," set AUDIO=","+set FACEIMG="," "," echo ============================================"," echo   MUZIK VIDEO URETICI - LTX Desktop API"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:21:38.376Z","_audit_hmac":"f60d4a52ee31ad6e64a0924163d243a242877f59331b1356faef26631f0d2d2f"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01UfFH11KPfuFjzw14qpu6UG","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi bat'ta En-boy oranı seçiminden sonra face swap seçeneğini ekleyeceğim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":70697,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":252},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"f87e1d89-333c-49d6-b58a-6abd89951be9","_audit_timestamp":"2026-04-12T19:21:41.116Z","_audit_hmac":"26a14a3da3e055047347d270e3237f95464ecb0d64a5d8edbe4f900516a3e21f"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01UfFH11KPfuFjzw14qpu6UG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01R2mW6c6r9C71fV3LyQfebB","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","old_string":"echo.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\necho ============================================","new_string":"echo.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":70697,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":252},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"e9f6faaa-ea17-4692-969a-64903b6e13ff","_audit_timestamp":"2026-04-12T19:21:48.768Z","_audit_hmac":"c2607f932d6b5c0261b9e4455f9e810b8c8c50e79f2a642b8c22392610c9a78e"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R2mW6c6r9C71fV3LyQfebB","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"e0f4458e-8d95-4b1e-b274-d0fad70c6880","timestamp":"2026-04-12T19:18:45.131Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","oldString":"echo.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\necho ============================================","newString":"echo.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================","originalFile":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\n%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","structuredPatch":[{"oldStart":93,"oldLines":12,"newStart":93,"newLines":28,"lines":[" if not defined ASPECT set ASPECT=16:9"," "," echo.","+echo   Face Swap (Son karelerde yuz degistirme):","+echo     1) Kapali (Varsayilan)","+echo     2) Acik - Resim secin","+echo.","+set /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"","+if \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1","+set FACE_SWAP_ARG=","+if \"%FSWCHOICE%\"==\"2\" (","+    echo.","+    echo   Face swap icin kaynak yuz resmini girin:","+    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"","+    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"","+)","+","+echo."," echo ============================================"," echo   Ayarlar:"," echo     Prompt: %PROMPT%"," echo     Cozunurluk: %RESOLUTION%"," echo     Oran: %ASPECT%"," echo     Model: fast (LTX 2.3 Fast)","+if not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%"," echo ============================================"," echo."," echo   NOT: LTX Desktop'un acik olmasi gerekir!"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:21:48.826Z","_audit_hmac":"42ab336120afc950f94037969a7d348a902a8b857b3eb3796d04355de52d8416"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01K8gDMndNEXvyJsrkDuXBH3","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi python çağrısına face swap argümanını ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":70949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":622},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"1354b2b9-4630-41cf-ae20-f2a8322b87dd","_audit_timestamp":"2026-04-12T19:21:51.223Z","_audit_hmac":"24ff59e8689a6a3004f61c1228a16827cb6b01abf76035606db10e52a348c988"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01K8gDMndNEXvyJsrkDuXBH3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012BvYwoSRZEk7FNH2mSnupQ","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","old_string":"%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%","new_string":"if not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":70949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":622},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"c658bafc-43c7-414d-ac18-f9ac849278e8","_audit_timestamp":"2026-04-12T19:21:53.879Z","_audit_hmac":"cdcd9a15302e8909c7cf5b013f5c9ce185e81842d8252d4778a396b649aceb8b"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012BvYwoSRZEk7FNH2mSnupQ","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"d2f48529-aa29-4e4d-88d7-fa207eff22f2","timestamp":"2026-04-12T19:18:50.241Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","oldString":"%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%","newString":"if not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)","originalFile":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\n%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","structuredPatch":[{"oldStart":122,"oldLines":7,"newStart":122,"newLines":11,"lines":[" echo   Baslatiliyor..."," echo."," ","-%PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%","+if not \"%FACEIMG%\"==\"\" (","+    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"","+) else (","+    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%","+)"," "," echo."," echo ============================================"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:21:53.911Z","_audit_hmac":"0aa0f1dedf6bc356ed5a0b8c693ede384eb660f6217658d2dab9a87152b4a1a2"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01Cwca4dQtX8xuoo2T6nPP9R","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UbPzGJYcLrXVbMQSChKBMH","name":"TodoWrite","input":{"todos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"completed","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula","status":"in_progress","activeForm":"Kod doğrulanıyor"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":360,"cache_read_input_tokens":71571,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":360},"output_tokens":73,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"dba9fdef-2f36-440f-a3b5-ae7fcac410fc","_audit_timestamp":"2026-04-12T19:21:58.690Z","_audit_hmac":"88d93d5c12b6329907b6f34de60b86c45649950090220702818d01d2fac47a48"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UbPzGJYcLrXVbMQSChKBMH","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"e6f90c5e-e165-433e-8a15-72fb2d5a62de","timestamp":"2026-04-12T19:18:55.035Z","tool_use_result":{"oldTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"in_progress","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula ve test et","status":"pending","activeForm":"Kod doğrulanıyor"}],"newTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"completed","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula","status":"in_progress","activeForm":"Kod doğrulanıyor"}],"verificationNudgeNeeded":false},"_audit_timestamp":"2026-04-12T19:21:58.748Z","_audit_hmac":"43ab614098915fda5800f04e739223da20e69dddbdbaa61435b598031d1268c8"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01LjGGcuCyxDozuZELkkcozE","type":"message","role":"assistant","content":[{"type":"text","text":"Son olarak kodu doğrulayalım — Python syntax kontrolü yapalım:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":321,"cache_read_input_tokens":71931,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":321},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"4a3fa386-c7f9-4d29-8021-1fbf75249ac2","_audit_timestamp":"2026-04-12T19:22:02.331Z","_audit_hmac":"a65f39126a7b4db953b5fd106d11ce48336d24c00e8d2da2170aa5bbaebe819c"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01LjGGcuCyxDozuZELkkcozE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EXzc3Q2gG2wFMVui9EPCKH","name":"Bash","input":{"command":"python3 -c \"\nimport ast\nwith open('/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py', 'r', encoding='utf-8') as f:\n    source = f.read()\ntry:\n    ast.parse(source)\n    print('SYNTAX OK')\nexcept SyntaxError as e:\n    print(f'SYNTAX ERROR: {e}')\n\"","description":"Check Python syntax"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":321,"cache_read_input_tokens":71931,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":321},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"7f0e62f2-539b-4b4e-82f0-58481d64fa68","_audit_timestamp":"2026-04-12T19:22:03.752Z","_audit_hmac":"e98f660d16bc9379c6f3d148ca91606bfe5524795d0bbb9f88e7430cc777bd82"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EXzc3Q2gG2wFMVui9EPCKH","type":"tool_result","content":"SYNTAX OK\n[rerun: b8]","is_error":false}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"bd2d308d-0c7d-4d78-abd9-ea7f48400fc3","timestamp":"2026-04-12T19:19:00.197Z","tool_use_result":{"stdout":"SYNTAX OK","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"_audit_timestamp":"2026-04-12T19:22:03.904Z","_audit_hmac":"cb59d7e4e7914d8a5216bc42fb4f0eee4b202ed16d63a0a38771e0091fe448bf"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01TYYYrrzHxLFnViGGGumKPa","type":"message","role":"assistant","content":[{"type":"text","text":"Ayrıca ilk görsel için de face swap uygulamak mantıklı olabilir — çünkü ilk görseldeki yüz de değiştirilmeli. Bunu da ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":224,"cache_read_input_tokens":72252,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":224},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"918f2d06-418b-4d1c-9294-e0f991d5d5b4","_audit_timestamp":"2026-04-12T19:22:07.727Z","_audit_hmac":"29338a3a85a4f877a531b75154f65e1a10e17d5870c3127db68cc07958a14324"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01TYYYrrzHxLFnViGGGumKPa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013k6pgiKZnkR7NwZHvsBo8N","name":"Read","input":{"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","offset":700,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":224,"cache_read_input_tokens":72252,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":224},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"58d82628-23de-49e6-8138-caf7aeb77290","_audit_timestamp":"2026-04-12T19:22:08.339Z","_audit_hmac":"59bc3e7205c19a0eeaefe575fdf2c39ef39e57030b8e7836c9cf7c72930a8551"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013k6pgiKZnkR7NwZHvsBo8N","type":"tool_result","content":"700\t    image_path = Path(args.image).resolve()\n701\t    \n702\t    face_swap_source = None\n703\t    if args.face_swap:\n704\t        face_swap_source = Path(args.face_swap).resolve()\n705\t        if not face_swap_source.exists():\n706\t            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")\n707\t            sys.exit(1)\n708\t        if not FACEFUSION_VENV_PYTHON.exists():\n709\t            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")\n710\t            sys.exit(1)\n711\t\n712\t    if not audio_path.exists():\n713\t        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n714\t        sys.exit(1)\n715\t    if not image_path.exists():\n716\t        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n717\t        sys.exit(1)\n718\t    \n719\t    # Çözünürlüğe göre max segment süresini belirle\n720\t    max_seg = get_max_segment_duration(args.resolution)\n721\t    segment_dur = min(args.segment_duration, max_seg)\n722\t    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n723\t    \n724\t    if args.segment_duration > max_seg:\n725\t        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n726\t    \n727\t    # Çıkış klasörü\n728\t    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n729\t    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\""}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"f17c53e3-6f9d-4400-bba3-85f19d469381","timestamp":"2026-04-12T19:19:04.690Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","content":"    image_path = Path(args.image).resolve()\n    \n    face_swap_source = None\n    if args.face_swap:\n        face_swap_source = Path(args.face_swap).resolve()\n        if not face_swap_source.exists():\n            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")\n            sys.exit(1)\n        if not FACEFUSION_VENV_PYTHON.exists():\n            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")\n            sys.exit(1)\n\n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"","numLines":30,"startLine":700,"totalLines":892}},"_audit_timestamp":"2026-04-12T19:22:08.408Z","_audit_hmac":"5cdc76cd446c84bbc31c4e669ee860a2e43cef6a339b10fb26878e0bde1b9218"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01RwSo5Y6gjNFoGT6yX1YJif","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015jqkfQxC24Voir3iLmbGw9","name":"Read","input":{"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","offset":780,"limit":20},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":705,"cache_read_input_tokens":72476,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":705},"output_tokens":61,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"d6dc7fef-7b94-4ab7-8ab3-b148e96470e1","_audit_timestamp":"2026-04-12T19:22:11.422Z","_audit_hmac":"6ebbfb54a7299a89a986a0f8ebca0a4e29b1633511b7ce80e518ad7739fd7781"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015jqkfQxC24Voir3iLmbGw9","type":"tool_result","content":"780\t    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n781\t    total_duration = get_audio_duration(audio_path)\n782\t    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n783\t    \n784\t    audio_segments = split_audio_into_segments(\n785\t        audio_path, audio_segments_dir, segment_dur, total_duration\n786\t    )\n787\t    \n788\t    num_segments = len(audio_segments)\n789\t    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n790\t    \n791\t    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n792\t    input_image = frames_dir / f\"input_000.jpg\"\n793\t    shutil.copy2(image_path, input_image)\n794\t    \n795\t    # ── 6. Video Segmentlerini Üret ──\n796\t    video_segments = []\n797\t    current_image = input_image\n798\t    \n799\t    start_time = time.time()"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"9e8f344c-2ee8-4b69-b54d-dc700c2957b6","timestamp":"2026-04-12T19:19:07.773Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","content":"    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()","numLines":20,"startLine":780,"totalLines":892}},"_audit_timestamp":"2026-04-12T19:22:11.502Z","_audit_hmac":"a73ad0732a45f6d512cc35748872756577f66413550c2ae2af44299df4ed196c"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01H1G7FJW9TfjMg6XNVCm3WT","type":"message","role":"assistant","content":[{"type":"text","text":"İlk görsele de face swap uygulama seçeneği ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":428,"cache_read_input_tokens":73181,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":428},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"ee6de160-2e7f-4b73-8725-e04ba537c06c","_audit_timestamp":"2026-04-12T19:22:14.147Z","_audit_hmac":"a23df705bddab920eae98fd1220f443cee4991b430700b8a108144639385cef0"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01H1G7FJW9TfjMg6XNVCm3WT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X5Lb1uWgUKMGeQxWFyAWfQ","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","old_string":"    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image","new_string":"    # ── 5. Görseli Çalışma Dizinine Kopyala (ve opsiyonel face swap) ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n\n    if face_swap_source:\n        print(\"\\n[*] İlk görsele face swap uygulanıyor...\")\n        swapped_input = frames_dir / f\"input_000_swapped.jpg\"\n        if face_swap_image(face_swap_source, input_image, swapped_input):\n            input_image = swapped_input\n            print(\"  [FACE SWAP] İlk görsel face swap'landı!\")\n        else:\n            print(\"  [FACE SWAP] İlk görselde face swap başarısız, orijinal kullanılacak.\")\n\n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":428,"cache_read_input_tokens":73181,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":428},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"a1e6084c-b3a8-487c-a5bd-e4657996f73f","_audit_timestamp":"2026-04-12T19:22:18.312Z","_audit_hmac":"682a87414dbc9af2d6d5d964b9fefca3ec1e4c1933b7eeaf3554c9f1d9661b0a"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X5Lb1uWgUKMGeQxWFyAWfQ","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"1645653e-ad01-496c-b454-8175fc4234ab","timestamp":"2026-04-12T19:19:14.681Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py","oldString":"    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image","newString":"    # ── 5. Görseli Çalışma Dizinine Kopyala (ve opsiyonel face swap) ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n\n    if face_swap_source:\n        print(\"\\n[*] İlk görsele face swap uygulanıyor...\")\n        swapped_input = frames_dir / f\"input_000_swapped.jpg\"\n        if face_swap_image(face_swap_source, input_image, swapped_input):\n            input_image = swapped_input\n            print(\"  [FACE SWAP] İlk görsel face swap'landı!\")\n        else:\n            print(\"  [FACE SWAP] İlk görselde face swap başarısız, orijinal kullanılacak.\")\n\n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image","originalFile":"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nMüzik Video Üretici - LTX Desktop Backend API\n===============================================\nŞarkı + görsel girişi → otomatik uzun müzik videosu üretir.\n\nPipeline:\n1. Şarkıyı segmentlere böl (ffmpeg) — her segment için ayrı ses dosyası\n2. Her segment için LTX Desktop API ile video üret (LTX 2.3 Fast model)\n   - imagePath: giriş görseli (ilk segment) veya önceki videonun son karesi\n   - audioPath: o segmente karşılık gelen ses parçası (dudak senkronizasyonu)\n3. Her videonun son karesini bir sonraki videonun giriş görseli olarak kullan\n4. Tüm videoları birleştir (ffmpeg)\n5. Orijinal sesi tam olarak ekle (ffmpeg)\n\nKullanım:\n    python muzik_video_uret.py <sarki.mp3> <gorsel.jpg> [--prompt \"açıklama\"] [--resolution 540p]\n    \n    veya sürükle-bırak ile Muzik-Video-Uret.bat kullanın.\n\nÇözünürlüğe göre max segment süreleri:\n    540p  → max 20 saniye\n    720p  → max 10 saniye\n    1080p → max 5 saniye\n\"\"\"\n\nimport os\nimport sys\nimport json\nimport time\nimport shutil\nimport ctypes\nimport struct\nimport argparse\nimport subprocess\nimport urllib.request\nimport urllib.error\nfrom pathlib import Path\nfrom datetime import datetime\n\n# ============================================================================\n# AYARLAR\n# ============================================================================\nLTX_API_URL = None  # Otomatik bulunacak (port her başlatmada değişebilir)\nLTX_OUTPUT_DIR = Path(os.environ.get(\"LOCALAPPDATA\", \"\")) / \"LTXDesktop\" / \"outputs\"\nSEGMENT_DURATION = 20      # 540p'de 20 saniyeye kadar destekleniyor\nVIDEO_MODEL = \"fast\"       # \"fast\" = LTX 2.3 Fast (hızlı), \"pro\" = yüksek kalite ama yavaş\nDEFAULT_RESOLUTION = \"540p\" # \"512p\", \"540p\", \"720p\", \"1080p\"\nDEFAULT_ASPECT = \"16:9\"    # \"16:9\" veya \"9:16\"\nDEFAULT_FPS = \"24\"\nPOLL_INTERVAL = 1          # API durumu sorgu aralığı (saniye)\nMAX_WAIT_TIME = 600        # Tek bir video için max bekleme (saniye)\n\nFFMPEG = \"ffmpeg\"\nFFPROBE = \"ffprobe\"\n\n# FaceFusion ayarları\nFACEFUSION_DIR = Path(__file__).parent / \"FaceFusion\"\nFACEFUSION_VENV_PYTHON = FACEFUSION_DIR / \"venv\" / \"Scripts\" / \"python.exe\"\nFACEFUSION_SCRIPT = FACEFUSION_DIR / \"facefusion\" / \"facefusion.py\"\n\n# Çözünürlüğe göre max segment süresi (saniye)\nMAX_DURATION_BY_RESOLUTION = {\n    \"512p\": 20,\n    \"540p\": 20,\n    \"720p\": 10,\n    \"1080p\": 5,\n}\n\n# LTX API'nin kabul ettiği süre değerleri (saniye)\nALLOWED_DURATIONS = {5, 6, 8, 10, 20}\n\ndef get_max_segment_duration(resolution):\n    \"\"\"Çözünürlüğe göre izin verilen max segment süresini döndürür.\"\"\"\n    return MAX_DURATION_BY_RESOLUTION.get(resolution, 10)\n\ndef snap_to_allowed_duration(desired_dur, resolution):\n    \"\"\"İstenen süreyi LTX'in kabul ettiği en yakın süreye yuvarlar.\"\"\"\n    max_dur = get_max_segment_duration(resolution)\n    allowed = sorted([d for d in ALLOWED_DURATIONS if d <= max_dur])\n    if not allowed:\n        return 5\n    best = allowed[0]\n    for a in allowed:\n        if a <= desired_dur:\n            best = a\n    return best\n\n\n# ============================================================================\n# PORT ve BAĞLANTI BULMA\n# ============================================================================\n\ndef find_ltx_backend_port():\n    \"\"\"LTX Desktop backend'inin hangi portta çalıştığını otomatik bulur.\n    \n    ltx2_server.py sürecinin dinlediği portu netstat/PowerShell ile tespit eder.\n    Port her LTX Desktop başlatmada değişebilir (57835, 62106, vb.)\n    \"\"\"\n    print(\"[*] LTX Desktop backend portu aranıyor...\")\n    \n    # Yöntem 1: wmic + netstat ile ltx2_server.py sürecinin portunu bul\n    try:\n        # ltx2_server.py çalıştıran python PID'lerini bul\n        result = subprocess.run(\n            ['wmic', 'process', 'where',\n             \"CommandLine like '%ltx2_server.py%'\",\n             'get', 'ProcessId', '/format:list'],\n            capture_output=True, text=True, timeout=10\n        )\n        \n        pids = []\n        for line in result.stdout.strip().split('\\n'):\n            line = line.strip()\n            if line.startswith('ProcessId='):\n                try:\n                    pids.append(int(line.split('=')[1]))\n                except ValueError:\n                    pass\n        \n        if not pids:\n            print(\"  HATA: ltx2_server.py süreci bulunamadı!\")\n            print(\"  LTX Desktop açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        # Her PID için dinlenen portu bul (netstat ile)\n        for pid in pids:\n            result = subprocess.run(\n                ['netstat', '-ano'],\n                capture_output=True, text=True, timeout=10\n            )\n            for line in result.stdout.split('\\n'):\n                line = line.strip()\n                if f'{pid}' in line and 'LISTENING' in line:\n                    parts = line.split()\n                    if len(parts) >= 4:\n                        addr = parts[1]  # 127.0.0.1:62106 veya 0.0.0.0:62106\n                        if ':' in addr:\n                            port_str = addr.rsplit(':', 1)[-1]\n                            try:\n                                port = int(port_str)\n                                if port > 1024:  # Geçerli port\n                                    url = f\"http://127.0.0.1:{port}\"\n                                    print(f\"  Port bulundu: {port} (PID {pid})\")\n                                    return url\n                            except ValueError:\n                                pass\n    except Exception as e:\n        print(f\"  Port arama hatası: {e}\")\n    \n    # Yöntem 2: Bilinen portları dene\n    print(\"  Bilinen portlar deneniyor...\")\n    for port in [57835, 62106, 8000, 8080]:\n        try:\n            req = urllib.request.Request(f\"http://127.0.0.1:{port}/api/generation/progress\")\n            urllib.request.urlopen(req, timeout=2)\n            url = f\"http://127.0.0.1:{port}\"\n            print(f\"  Port bulundu (tarama): {port}\")\n            return url\n        except urllib.error.HTTPError as e:\n            if e.code == 401:  # Auth gerekli = sunucu çalışıyor!\n                url = f\"http://127.0.0.1:{port}\"\n                print(f\"  Port bulundu (tarama): {port}\")\n                return url\n        except Exception:\n            continue\n    \n    print(\"  HATA: LTX Desktop backend'i bulunamadı!\")\n    print(\"  LTX Desktop'u açın ve tekrar deneyin.\")\n    sys.exit(1)\n\n\n# ============================================================================\n# TOKEN BULMA\n# ============================================================================\n\ndef get_token_from_process_env():\n    \"\"\"LTX backend Python sürecinin environment değişkenlerinden token okur.\"\"\"\n    try:\n        import psutil\n        for proc in psutil.process_iter(['pid', 'name', 'cmdline']):\n            try:\n                cmdline = \" \".join(proc.info.get('cmdline') or [])\n                if 'ltx2_server.py' in cmdline:\n                    env = proc.environ()\n                    token = env.get('LTX_AUTH_TOKEN', '')\n                    if token:\n                        print(f\"  [TOKEN] psutil ile bulundu (PID {proc.pid})\")\n                        return token\n            except (psutil.AccessDenied, psutil.NoSuchProcess):\n                continue\n    except ImportError:\n        pass\n    \n    try:\n        return _read_token_via_winapi()\n    except Exception as e:\n        print(f\"  [TOKEN] Windows API ile okunamadı: {e}\")\n    \n    return None\n\n\ndef _read_token_via_winapi():\n    \"\"\"Windows API ile çalışan LTX backend sürecinin env değişkenini okur.\"\"\"\n    kernel32 = ctypes.windll.kernel32\n    ntdll = ctypes.windll.ntdll\n    \n    result = subprocess.run(\n        ['wmic', 'process', 'where', \n         \"CommandLine like '%ltx2_server.py%'\",\n         'get', 'ProcessId', '/format:list'],\n        capture_output=True, text=True, timeout=10\n    )\n    \n    pids = []\n    for line in result.stdout.strip().split('\\n'):\n        line = line.strip()\n        if line.startswith('ProcessId='):\n            try:\n                pids.append(int(line.split('=')[1]))\n            except ValueError:\n                pass\n    \n    if not pids:\n        return None\n    \n    PROCESS_QUERY_INFORMATION = 0x0400\n    PROCESS_VM_READ = 0x0010\n    \n    class PBI(ctypes.Structure):\n        _fields_ = [\n            (\"Reserved1\", ctypes.c_void_p),\n            (\"PebBaseAddress\", ctypes.c_void_p),\n            (\"Reserved2\", ctypes.c_void_p * 2),\n            (\"UniqueProcessId\", ctypes.c_void_p),\n            (\"Reserved3\", ctypes.c_void_p),\n        ]\n    \n    for pid in pids:\n        handle = kernel32.OpenProcess(\n            PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid\n        )\n        if not handle:\n            continue\n        \n        try:\n            pbi = PBI()\n            ret_len = ctypes.c_ulong()\n            status = ntdll.NtQueryInformationProcess(\n                handle, 0, ctypes.byref(pbi), ctypes.sizeof(pbi), ctypes.byref(ret_len)\n            )\n            if status != 0:\n                continue\n            \n            peb = (ctypes.c_byte * 0x400)()\n            read = ctypes.c_size_t()\n            if not kernel32.ReadProcessMemory(\n                handle, pbi.PebBaseAddress, peb, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            pp_addr = struct.unpack_from(\"<Q\", bytes(peb), 0x20)[0]\n            \n            pp = (ctypes.c_byte * 0x400)()\n            if not kernel32.ReadProcessMemory(\n                handle, pp_addr, pp, 0x400, ctypes.byref(read)\n            ):\n                continue\n            \n            env_addr = struct.unpack_from(\"<Q\", bytes(pp), 0x80)[0]\n            \n            env_buf = (ctypes.c_byte * 65536)()\n            if not kernel32.ReadProcessMemory(\n                handle, env_addr, env_buf, 65536, ctypes.byref(read)\n            ):\n                continue\n            \n            env_data = bytes(env_buf)[:read.value]\n            env_str = env_data.decode(\"utf-16-le\", errors=\"ignore\")\n            for var in env_str.split(\"\\0\"):\n                if var.startswith(\"LTX_AUTH_TOKEN=\"):\n                    token = var[len(\"LTX_AUTH_TOKEN=\"):]\n                    print(f\"  [TOKEN] Windows API ile bulundu (PID {pid})\")\n                    return token\n        finally:\n            kernel32.CloseHandle(handle)\n    \n    return None\n\n\ndef discover_auth_token(api_url):\n    \"\"\"LTX Desktop auth token'ını otomatik bul.\"\"\"\n    print(\"[*] LTX Desktop auth token aranıyor...\")\n    \n    # 1. Auth'suz dene\n    try:\n        req = urllib.request.Request(f\"{api_url}/api/generation/progress\")\n        resp = urllib.request.urlopen(req, timeout=5)\n        print(\"  [TOKEN] Auth gerekmiyor!\")\n        return None\n    except urllib.error.HTTPError as e:\n        if e.code == 401:\n            print(\"  [TOKEN] Auth gerekli, token aranıyor...\")\n        else:\n            raise\n    except urllib.error.URLError:\n        print(\"  HATA: LTX Desktop'a bağlanılamıyor!\")\n        sys.exit(1)\n    \n    # 2. Ortam değişkeninden\n    env_token = os.environ.get(\"LTX_AUTH_TOKEN\", \"\")\n    if env_token:\n        print(\"  [TOKEN] Ortam değişkeninden bulundu\")\n        return env_token\n    \n    # 3. token dosyasından (ve geçerliliğini kontrol et)\n    token_file = Path(__file__).parent / \"ltx_token.txt\"\n    if token_file.exists():\n        token = token_file.read_text().strip()\n        if token:\n            try:\n                req = urllib.request.Request(\n                    f\"{api_url}/api/generation/progress\",\n                    headers={\"Authorization\": f\"Bearer {token}\"}\n                )\n                urllib.request.urlopen(req, timeout=5)\n                print(f\"  [TOKEN] ltx_token.txt dosyasından bulundu\")\n                return token\n            except urllib.error.HTTPError:\n                print(f\"  [TOKEN] ltx_token.txt'deki token geçersiz (LTX yeniden başlatılmış)\")\n            except urllib.error.URLError:\n                pass\n    \n    # 4. Çalışan süreçten\n    token = get_token_from_process_env()\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    # 5. Manuel\n    print(\"\\n\" + \"=\" * 60)\n    print(\"AUTH TOKEN BULUNAMADI!\")\n    print(\"=\" * 60)\n    print(\"LTX Desktop'ta DevTools > Network sekmesini açın,\")\n    print(\"bir video üretin, ve istekteki 'authorization' header'ından\")\n    print(\"Bearer token'ı kopyalayıp buraya yapıştırın.\")\n    print(\"=\" * 60)\n    token = input(\"Token: \").strip()\n    if token.startswith(\"Bearer \"):\n        token = token[7:]\n    if token:\n        token_file.write_text(token)\n        return token\n    \n    print(\"HATA: Token girilmedi!\")\n    sys.exit(1)\n\n\n# ============================================================================\n# LTX API\n# ============================================================================\n\ndef ltx_api_request(api_url, endpoint, method=\"GET\", data=None, token=None):\n    \"\"\"LTX Desktop backend API'sine istek gönderir.\"\"\"\n    url = f\"{api_url}{endpoint}\"\n    headers = {\"Content-Type\": \"application/json\"}\n    if token:\n        headers[\"Authorization\"] = f\"Bearer {token}\"\n    \n    if data is not None:\n        body = json.dumps(data).encode(\"utf-8\")\n        req = urllib.request.Request(url, data=body, headers=headers, method=method)\n    else:\n        req = urllib.request.Request(url, headers=headers, method=method)\n    \n    resp = urllib.request.urlopen(req, timeout=MAX_WAIT_TIME)\n    return json.loads(resp.read().decode())\n\n\ndef check_ltx_status(api_url, token):\n    \"\"\"LTX Desktop backend durumunu kontrol eder.\"\"\"\n    try:\n        return ltx_api_request(api_url, \"/api/generation/progress\", token=token)\n    except Exception:\n        return None\n\n\ndef wait_for_idle(api_url, token, max_wait=120):\n    \"\"\"Eğer LTX meşgulse tamamlanmasını bekle.\"\"\"\n    print(\"[*] LTX Desktop durumu kontrol ediliyor...\")\n    start = time.time()\n    while time.time() - start < max_wait:\n        status = check_ltx_status(api_url, token)\n        if status is None:\n            print(\"  HATA: LTX Desktop'a bağlanılamıyor! Açık olduğundan emin olun.\")\n            sys.exit(1)\n        \n        if status[\"status\"] in (\"idle\", \"complete\", \"error\", \"cancelled\"):\n            print(f\"  LTX Desktop hazır (durum: {status['status']})\")\n            return True\n        \n        phase = status.get(\"phase\", \"?\")\n        progress = status.get(\"progress\", 0)\n        print(f\"  Bekleniyor... [{phase}] %{progress}\")\n        time.sleep(2)\n    \n    print(\"  UYARI: LTX Desktop hâlâ meşgul, yine de devam ediliyor...\")\n    return False\n\n\ndef generate_video(api_url, prompt, image_path, audio_path, token, \n                   resolution=DEFAULT_RESOLUTION, aspect=DEFAULT_ASPECT, \n                   duration=\"20\"):\n    \"\"\"LTX Desktop API ile tek bir video segmenti üretir.\"\"\"\n    \n    image_abs = str(Path(image_path).resolve())\n    audio_abs = str(Path(audio_path).resolve())\n    \n    payload = {\n        \"prompt\": prompt,\n        \"model\": VIDEO_MODEL,\n        \"duration\": duration,\n        \"resolution\": resolution,\n        \"fps\": DEFAULT_FPS,\n        \"audio\": \"true\",\n        \"cameraMotion\": \"none\",\n        \"aspectRatio\": aspect,\n        \"negativePrompt\": \"\",\n        \"imagePath\": image_abs,\n        \"audioPath\": audio_abs\n    }\n    \n    print(f\"  API isteği gönderiliyor...\")\n    print(f\"    Model: {VIDEO_MODEL} | Süre: {duration}s | Çözünürlük: {resolution}\\\"\")\n    print(f\"    Görsel: {image_abs}\")\n    print(f\"    Ses: {audio_abs}\")\n    \n    try:\n        result = ltx_api_request(api_url, \"/api/generate\", method=\"POST\", data=payload, token=token)\n    except urllib.error.HTTPError as e:\n        error_body = e.read().decode()\n        print(f\"  HATA: API hatası {e.code}: {error_body}\")\n        return None\n    except Exception as e:\n        print(f\"  HATA: API bağlantı hatası: {e}\")\n        return None\n    \n    status = result.get(\"status\", \"\")\n    video_path = result.get(\"video_path\", \"\")\n    \n    if status == \"complete\" and video_path:\n        print(f\"  Video üretildi: {video_path}\")\n        return video_path\n    else:\n        print(f\"  HATA: Video üretilemedi. Durum: {status}\")\n        print(f\"  Yanıt: {json.dumps(result, indent=2)}\")\n        return None\n\n\n# ============================================================================\n# FFMPEG YARDIMCI FONKSİYONLARI\n# ============================================================================\n\ndef get_audio_duration(audio_path):\n    \"\"\"Ses dosyasının süresini saniye olarak döndürür.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(audio_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    return float(result.stdout.strip())\n\n\ndef split_audio_into_segments(audio_path, output_dir, segment_dur, total_duration):\n    \"\"\"Ses dosyasını segmentlere böler.\n    \n    Returns:\n        List of (segment_audio_path, start_time, end_time, actual_duration)\n    \"\"\"\n    segments = []\n    num_segments = int(total_duration // segment_dur)\n    remainder = total_duration % segment_dur\n    # FİX: Fazla segment oluşturma — remainder >= 5.0 ise yeni segment aç\n    # Çünkü 5s altı audio WanGP'nin vokal ayırıcısını crash ettiriyor\n    if remainder >= 5.0:\n        num_segments += 1\n    \n    print(f\"[*] Ses {num_segments} parçaya bölünüyor ({segment_dur}s)...\")\n    \n    for i in range(num_segments):\n        seg_start = i * segment_dur\n        seg_end = min((i + 1) * segment_dur, total_duration)\n        seg_actual_dur = seg_end - seg_start\n        \n        seg_audio = output_dir / f\"audio_segment_{i:03d}.mp3\"\n        \n        cmd = [\n            FFMPEG, \"-y\",\n            \"-i\", str(audio_path),\n            \"-ss\", str(seg_start),\n            \"-t\", str(seg_actual_dur),\n            \"-acodec\", \"libmp3lame\",\n            \"-b:a\", \"192k\",\n            str(seg_audio)\n        ]\n        subprocess.run(cmd, capture_output=True, check=True)\n        \n        segments.append((seg_audio, seg_start, seg_end, seg_actual_dur))\n        print(f\"  Segment {i+1}/{num_segments}: {seg_start:.1f}s - {seg_end:.1f}s\")\n    \n    return segments\n\n\ndef extract_last_frame(video_path, output_path):\n    \"\"\"Videonun son karesini çıkarır.\"\"\"\n    cmd = [\n        FFPROBE, \"-v\", \"error\",\n        \"-show_entries\", \"format=duration\",\n        \"-of\", \"default=noprint_wrappers=1:nokey=1\",\n        str(video_path)\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True)\n    duration = float(result.stdout.strip())\n    \n    seek_time = max(0, duration - 0.05)\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-ss\", str(seek_time),\n        \"-i\", str(video_path),\n        \"-frames:v\", \"1\",\n        \"-q:v\", \"1\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Son kare çıkarıldı: {output_path}\")\n\n\ndef face_swap_image(source_face_path, target_image_path, output_path):\n    \"\"\"FaceFusion ile bir resimdeki yüzü değiştirir.\n\n    Args:\n        source_face_path: Kaynak yüz resmi (kimin yüzü konacak)\n        target_image_path: Hedef resim (yüzü değiştirilecek)\n        output_path: Çıkış resmi yolu\n\n    Returns:\n        True başarılı, False başarısız\n    \"\"\"\n    if not FACEFUSION_VENV_PYTHON.exists():\n        print(f\"  HATA: FaceFusion kurulu değil! ({FACEFUSION_VENV_PYTHON})\")\n        return False\n\n    ff_script = FACEFUSION_SCRIPT\n    if not ff_script.exists():\n        ff_script = FACEFUSION_DIR / \"facefusion\" / \"run.py\"\n    if not ff_script.exists():\n        print(f\"  HATA: FaceFusion script bulunamadı!\")\n        return False\n\n    source_abs = str(Path(source_face_path).resolve())\n    target_abs = str(Path(target_image_path).resolve())\n    output_abs = str(Path(output_path).resolve())\n\n    # CUDA DLL'leri için PATH ayarla\n    env = os.environ.copy()\n    nvidia_pkgs = FACEFUSION_DIR / \"venv\" / \"Lib\" / \"site-packages\" / \"nvidia\"\n    extra_paths = [str(FACEFUSION_DIR / \"venv\" / \"Scripts\")]\n    if nvidia_pkgs.exists():\n        for d in nvidia_pkgs.iterdir():\n            if d.is_dir():\n                bin_dir = d / \"bin\"\n                lib_dir = d / \"lib\"\n                if bin_dir.exists():\n                    extra_paths.append(str(bin_dir))\n                if lib_dir.exists():\n                    extra_paths.append(str(lib_dir))\n    cuda_path = r\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\"\n    if os.path.exists(cuda_path):\n        extra_paths.append(cuda_path)\n    env[\"PATH\"] = \";\".join(extra_paths) + \";\" + env.get(\"PATH\", \"\")\n\n    cmd = [\n        str(FACEFUSION_VENV_PYTHON),\n        str(ff_script),\n        \"headless-run\",\n        \"--source-paths\", source_abs,\n        \"--target-path\", target_abs,\n        \"--output-path\", output_abs,\n        \"--processors\", \"face_swapper\",\n        \"--execution-providers\", \"cuda\",\n        \"--face-selector-mode\", \"one\",\n        \"--face-detector-score\", \"0.5\",\n        \"--output-image-quality\", \"95\"\n    ]\n\n    print(f\"  [FACE SWAP] Kaynak yüz: {source_abs}\")\n    print(f\"  [FACE SWAP] Hedef resim: {target_abs}\")\n    print(f\"  [FACE SWAP] Çıkış: {output_abs}\")\n\n    try:\n        result = subprocess.run(\n            cmd,\n            capture_output=True,\n            text=True,\n            timeout=120,\n            cwd=str(FACEFUSION_DIR / \"facefusion\"),\n            env=env\n        )\n\n        if Path(output_abs).exists():\n            print(f\"  [FACE SWAP] Başarılı!\")\n            return True\n        else:\n            print(f\"  [FACE SWAP] HATA: Çıkış dosyası oluşmadı!\")\n            if result.stderr:\n                print(f\"  stderr: {result.stderr[:500]}\")\n            return False\n    except subprocess.TimeoutExpired:\n        print(f\"  [FACE SWAP] HATA: Zaman aşımı (120s)!\")\n        return False\n    except Exception as e:\n        print(f\"  [FACE SWAP] HATA: {e}\")\n        return False\n\n\ndef concatenate_videos(video_list, output_path):\n    \"\"\"Videoları birleştirir.\"\"\"\n    list_file = output_path.parent / \"concat_list.txt\"\n    with open(list_file, \"w\", encoding=\"utf-8\") as f:\n        for v in video_list:\n            escaped = str(v).replace(\"'\", \"'\\\\''\")\n            f.write(f\"file '{escaped}'\\n\")\n    \n    cmd = [\n        FFMPEG, \"-y\",\n        \"-f\", \"concat\",\n        \"-safe\", \"0\",\n        \"-i\", str(list_file),\n        \"-c\", \"copy\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    \n    list_file.unlink(missing_ok=True)\n    print(f\"  Videolar birleştirildi: {output_path}\")\n\n\ndef add_audio_to_video(video_path, audio_path, output_path):\n    \"\"\"Videoya orijinal tam sesi ekler.\"\"\"\n    cmd = [\n        FFMPEG, \"-y\",\n        \"-i\", str(video_path),\n        \"-i\", str(audio_path),\n        \"-c:v\", \"copy\",\n        \"-c:a\", \"aac\",\n        \"-b:a\", \"192k\",\n        \"-map\", \"0:v:0\",\n        \"-map\", \"1:a:0\",\n        \"-shortest\",\n        str(output_path)\n    ]\n    subprocess.run(cmd, capture_output=True, check=True)\n    print(f\"  Orijinal ses eklendi: {output_path}\")\n\n\n# ============================================================================\n# ANA PIPELINE\n# ============================================================================\n\ndef main():\n    parser = argparse.ArgumentParser(description=\"Müzik Video Üretici - LTX Desktop API\")\n    parser.add_argument(\"audio\", help=\"Giriş ses dosyası (mp3, wav, flac, vb.)\")\n    parser.add_argument(\"image\", help=\"Giriş görseli (jpg, png)\")\n    parser.add_argument(\"--prompt\", \"-p\", default=\"cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\",\n                        help=\"Video üretim prompt'u\")\n    parser.add_argument(\"--resolution\", \"-r\", default=DEFAULT_RESOLUTION,\n                        choices=[\"512p\", \"540p\", \"720p\", \"1080p\"],\n                        help=\"Video çözünürlüğü (540p=max 20s, 720p=max 10s, 1080p=max 5s)\")\n    parser.add_argument(\"--aspect\", \"-a\", default=DEFAULT_ASPECT,\n                        choices=[\"16:9\", \"9:16\"],\n                        help=\"En-boy oranı\")\n    parser.add_argument(\"--output\", \"-o\", default=None,\n                        help=\"Çıkış dosyası yolu\")\n    parser.add_argument(\"--token\", \"-t\", default=None,\n                        help=\"LTX Desktop auth token (otomatik bulunmazsa)\")\n    parser.add_argument(\"--segment-duration\", \"-s\", type=int, default=SEGMENT_DURATION,\n                        help=\"Segment süresi (saniye, varsayılan: 20)\")\n    parser.add_argument(\"--port\", type=int, default=None,\n                        help=\"LTX Desktop backend portu (otomatik bulunmazsa)\")\n    parser.add_argument(\"--face-swap\", \"-f\", default=None,\n                        help=\"Face swap için kaynak yüz resmi. Belirtilirse her segmentin son karesine face swap uygulanır ve sonraki segmente o yüzle devam edilir.\")\n    \n    args = parser.parse_args()\n    \n    audio_path = Path(args.audio).resolve()\n    image_path = Path(args.image).resolve()\n    \n    face_swap_source = None\n    if args.face_swap:\n        face_swap_source = Path(args.face_swap).resolve()\n        if not face_swap_source.exists():\n            print(f\"HATA: Face swap kaynak resmi bulunamadı: {face_swap_source}\")\n            sys.exit(1)\n        if not FACEFUSION_VENV_PYTHON.exists():\n            print(f\"HATA: FaceFusion kurulu değil! Önce FaceFusion-Kur.bat çalıştırın.\")\n            sys.exit(1)\n\n    if not audio_path.exists():\n        print(f\"HATA: Ses dosyası bulunamadı: {audio_path}\")\n        sys.exit(1)\n    if not image_path.exists():\n        print(f\"HATA: Görsel dosyası bulunamadı: {image_path}\")\n        sys.exit(1)\n    \n    # Çözünürlüğe göre max segment süresini belirle\n    max_seg = get_max_segment_duration(args.resolution)\n    segment_dur = min(args.segment_duration, max_seg)\n    segment_dur = snap_to_allowed_duration(segment_dur, args.resolution)\n    \n    if args.segment_duration > max_seg:\n        print(f\"NOT: {args.resolution} çözünürlükte max segment süresi {max_seg}s, {segment_dur}s olarak ayarlandı.\")\n    \n    # Çıkış klasörü\n    timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n    work_dir = Path(__file__).parent / \"output\" / f\"muzik_video_{timestamp}\"\n    work_dir.mkdir(parents=True, exist_ok=True)\n    segments_dir = work_dir / \"segments\"\n    segments_dir.mkdir(exist_ok=True)\n    frames_dir = work_dir / \"frames\"\n    frames_dir.mkdir(exist_ok=True)\n    audio_segments_dir = work_dir / \"audio_segments\"\n    audio_segments_dir.mkdir(exist_ok=True)\n    \n    # Çıkış dosyası\n    if args.output:\n        output_path = Path(args.output).resolve()\n    else:\n        stem = audio_path.stem\n        output_path = work_dir / f\"{stem}_muzik_video.mp4\"\n    \n    print(\"=\" * 60)\n    print(\"  MÜZİK VİDEO ÜRETİCİ - LTX Desktop API\")\n    print(\"=\" * 60)\n    print(f\"  Ses: {audio_path}\")\n    print(f\"  Görsel: {image_path}\")\n    print(f\"  Prompt: {args.prompt[:60]}...\")\n    print(f\"  Çözünürlük: {args.resolution} | Oran: {args.aspect}\")\n    print(f\"  Model: {VIDEO_MODEL}\")\n    print(f\"  Segment süresi: {segment_dur}s (max {max_seg}s @ {args.resolution})\")\n    print(f\"  Face Swap: {'AÇIK - ' + str(face_swap_source) if face_swap_source else 'Kapalı'}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(\"=\" * 60)\n    \n    # ── 1. LTX Desktop Backend Portu ──\n    if args.port:\n        api_url = f\"http://127.0.0.1:{args.port}\"\n        print(f\"\\n[*] Manuel port: {args.port}\")\n    else:\n        api_url = find_ltx_backend_port()\n    \n    print(f\"[*] LTX Backend: {api_url}\")\n    \n    # ── 2. Auth Token ──\n    if args.token:\n        token = args.token\n    else:\n        token = discover_auth_token(api_url)\n    \n    if token:\n        token_file = Path(__file__).parent / \"ltx_token.txt\"\n        token_file.write_text(token)\n    \n    # ── 3. LTX Desktop Hazır mı? ──\n    wait_for_idle(api_url, token)\n    \n    # ── 4. Ses Süresini Al ve Segmentlere Böl ──\n    total_duration = get_audio_duration(audio_path)\n    print(f\"\\n[*] Toplam ses süresi: {total_duration:.1f}s\")\n    \n    audio_segments = split_audio_into_segments(\n        audio_path, audio_segments_dir, segment_dur, total_duration\n    )\n    \n    num_segments = len(audio_segments)\n    print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")\n    \n    # ── 5. Görseli Çalışma Dizinine Kopyala ──\n    input_image = frames_dir / f\"input_000.jpg\"\n    shutil.copy2(image_path, input_image)\n    \n    # ── 6. Video Segmentlerini Üret ──\n    video_segments = []\n    current_image = input_image\n    \n    start_time = time.time()\n    \n    for i, (seg_audio, seg_start, seg_end, seg_actual_dur) in enumerate(audio_segments):\n        \n        actual_dur = snap_to_allowed_duration(int(seg_actual_dur), args.resolution)\n        actual_dur = max(5, actual_dur)\n        \n        print(f\"\\n{'─' * 55}\")\n        print(f\"[SEGMENT {i+1}/{num_segments}] {seg_start:.1f}s - {seg_end:.1f}s (üretim: {actual_dur}s)\")\n        print(f\"{'─' * 55}\")\n        \n        wait_for_idle(api_url, token)\n        \n        video_path = generate_video(\n            api_url=api_url,\n            prompt=args.prompt,\n            image_path=current_image,\n            audio_path=seg_audio,\n            token=token,\n            resolution=args.resolution,\n            aspect=args.aspect,\n            duration=str(actual_dur)\n        )\n        \n        if video_path is None:\n            print(f\"  HATA: Segment {i+1} üretilemedi! Atlıyorum...\")\n            continue\n        \n        seg_video = segments_dir / f\"segment_{i:03d}.mp4\"\n        shutil.copy2(video_path, seg_video)\n        video_segments.append(seg_video)\n        \n        elapsed = time.time() - start_time\n        avg_per_seg = elapsed / (i + 1)\n        remaining = avg_per_seg * (num_segments - i - 1)\n        print(f\"  Süre: {elapsed:.0f}s | Ort: {avg_per_seg:.1f}s/seg | Kalan: ~{remaining:.0f}s\")\n        \n        if i < num_segments - 1:\n            next_image = frames_dir / f\"frame_{i:03d}.jpg\"\n            try:\n                extract_last_frame(seg_video, next_image)\n\n                # Face swap: son karedeki yüzü değiştir\n                if face_swap_source:\n                    swapped_image = frames_dir / f\"frame_{i:03d}_swapped.jpg\"\n                    if face_swap_image(face_swap_source, next_image, swapped_image):\n                        current_image = swapped_image\n                        print(f\"  [FACE SWAP] Sonraki segment face swap'lı kare ile devam edecek\")\n                    else:\n                        print(f\"  [FACE SWAP] Başarısız, orijinal son kare kullanılacak\")\n                        current_image = next_image\n                else:\n                    current_image = next_image\n            except Exception as e:\n                print(f\"  UYARI: Son kare çıkarılamadı: {e}\")\n    \n    if not video_segments:\n        print(\"\\nHATA: Hiç video segmenti üretilemedi!\")\n        sys.exit(1)\n    \n    # ── 7. Videoları Birleştir ──\n    print(f\"\\n{'=' * 55}\")\n    print(\"[*] Videolar birleştiriliyor...\")\n    concat_video = work_dir / \"concat_raw.mp4\"\n    \n    if len(video_segments) == 1:\n        shutil.copy2(video_segments[0], concat_video)\n    else:\n        concatenate_videos(video_segments, concat_video)\n    \n    # ── 8. Orijinal Tam Sesi Ekle ──\n    print(\"[*] Orijinal şarkı ekleniyor...\")\n    add_audio_to_video(concat_video, audio_path, output_path)\n    \n    # ── 9. Tamamlandı ──\n    total_time = time.time() - start_time\n    file_size = output_path.stat().st_size / (1024 * 1024)\n    \n    print(f\"\\n{'=' * 60}\")\n    print(f\"  TAMAMLANDI!\")\n    print(f\"{'=' * 60}\")\n    print(f\"  Çıkış: {output_path}\")\n    print(f\"  Boyut: {file_size:.1f} MB\")\n    print(f\"  Segment sayısı: {len(video_segments)}\")\n    print(f\"  Toplam süre: {total_time:.0f} saniye ({total_time/60:.1f} dakika)\")\n    print(f\"  Segment başına ortalama: {total_time/len(video_segments):.1f}s\")\n    print(f\"{'=' * 60}\")\n    \n    return str(output_path)\n\n\nif __name__ == \"__main__\":\n    main()\n","structuredPatch":[{"oldStart":788,"oldLines":10,"newStart":788,"newLines":19,"lines":["     num_segments = len(audio_segments)","     print(f\"[*] {num_segments} segment üretilecek ({segment_dur}s)\")","     ","-    # ── 5. Görseli Çalışma Dizinine Kopyala ──","+    # ── 5. Görseli Çalışma Dizinine Kopyala (ve opsiyonel face swap) ──","     input_image = frames_dir / f\"input_000.jpg\"","     shutil.copy2(image_path, input_image)","-    ","+","+    if face_swap_source:","+        print(\"\\n[*] İlk görsele face swap uygulanıyor...\")","+        swapped_input = frames_dir / f\"input_000_swapped.jpg\"","+        if face_swap_image(face_swap_source, input_image, swapped_input):","+            input_image = swapped_input","+            print(\"  [FACE SWAP] İlk görsel face swap'landı!\")","+        else:","+            print(\"  [FACE SWAP] İlk görselde face swap başarısız, orijinal kullanılacak.\")","+","     # ── 6. Video Segmentlerini Üret ──","     video_segments = []","     current_image = input_image"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:22:18.429Z","_audit_hmac":"a6069d9a3e0af8be7b0d8ac0491f44f4e73edb530e91cf3e8b99ddff1e07e690"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_017GJpo8raovGPgsQ7f2DeGL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PA6PjyB8FzmrtyrUeB5j2P","name":"Bash","input":{"command":"python3 -c \"\nimport ast\nwith open('/sessions/nifty-upbeat-hopper/mnt/video-uretim/muzik_video_uret.py', 'r', encoding='utf-8') as f:\n    source = f.read()\ntry:\n    ast.parse(source)\n    print('SYNTAX OK')\nexcept SyntaxError as e:\n    print(f'SYNTAX ERROR: {e}')\n\"","description":"Final syntax check"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":573,"cache_read_input_tokens":73609,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":573},"output_tokens":73,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"99c4421c-e9f1-47c9-b996-c6a2693bc8e1","_audit_timestamp":"2026-04-12T19:22:21.580Z","_audit_hmac":"c748656ee7057dd22898d34e0c2bf13dd807da03eb75cf004fba65bdbedbafbe"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PA6PjyB8FzmrtyrUeB5j2P","type":"tool_result","content":"SYNTAX OK\n[rerun: b9]","is_error":false}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"42793c9e-3119-4b80-b2c6-f77e9b90b143","timestamp":"2026-04-12T19:19:17.996Z","tool_use_result":{"stdout":"SYNTAX OK","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"_audit_timestamp":"2026-04-12T19:22:21.652Z","_audit_hmac":"c85e441915a45a53a76bccb54392fc7266ace456b6e54d7b6af50ceb7ac7f375"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01GL1MwnSRoHVLaEDiC9CPMa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Pf4GcLigN65SLHQxz1Ke6o","name":"TodoWrite","input":{"todos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"completed","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula","status":"completed","activeForm":"Kod doğrulanıyor"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":202,"cache_read_input_tokens":74182,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":202},"output_tokens":73,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"146cc4f6-34dc-4576-975a-eb7621546e9a","_audit_timestamp":"2026-04-12T19:22:25.482Z","_audit_hmac":"0e362c6b636fb15f62b8c86f2214bf05b46d3e51ab9f1460b3663c443b987469"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Pf4GcLigN65SLHQxz1Ke6o","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"3309ee22-89e2-4a41-8649-533b60f9feae","timestamp":"2026-04-12T19:19:21.828Z","tool_use_result":{"oldTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"completed","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula","status":"in_progress","activeForm":"Kod doğrulanıyor"}],"newTodos":[{"content":"Face swap fonksiyonu ekle (FaceFusion CLI ile son kareye face swap uygula)","status":"completed","activeForm":"Face swap fonksiyonu ekleniyor"},{"content":"Pipeline'a --face-swap argümanı ve face swap entegrasyonu ekle","status":"completed","activeForm":"Pipeline'a face swap entegrasyonu ekleniyor"},{"content":"Bat dosyasını güncelle (face swap seçeneği ekle)","status":"completed","activeForm":"Bat dosyası güncelleniyor"},{"content":"Kodu doğrula","status":"completed","activeForm":"Kod doğrulanıyor"}],"verificationNudgeNeeded":false},"_audit_timestamp":"2026-04-12T19:22:25.519Z","_audit_hmac":"1c6ecf495d7fd047e17efcdcae597fbf8578e049133d897839967e1c2b1fe28b"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01DzxtDZZn256SgQ9QccAT7z","type":"message","role":"assistant","content":[{"type":"text","text":"Tamamlandı! İşte yaptığım değişikliklerin özeti:\n\n**`muzik_video_uret.py` değişiklikleri:**\n\n1. **`face_swap_image()` fonksiyonu eklendi** — FaceFusion'ı headless modda çağırıp bir resimdeki yüzü değiştiriyor. CUDA desteği, hata yönetimi ve timeout dahil.\n\n2. **`--face-swap` / `-f` argümanı eklendi** — Kaynak yüz resminin yolunu alıyor.\n\n3. **Pipeline akışı şimdi şöyle çalışıyor:**\n   - İlk görsele face swap uygulanır (varsa)\n   - Her segmentin son karesi çıkarılır → o kareye face swap uygulanır → bir sonraki segmente face swap'lı kare verilir\n   - Face swap başarısız olursa orijinal kareyle devam eder (hata toleranslı)\n\n**`Muzik-Video-Uret.bat` değişiklikleri:**\n- Kullanıcıya \"Face Swap açık/kapalı\" seçeneği sunuluyor\n- Açık seçilirse kaynak yüz resmi yolu isteniyor\n- Python script'ine `--face-swap` argümanı geçiriliyor\n\n**Kullanım:**\n```\npython muzik_video_uret.py sarki.mp3 gorsel.jpg --face-swap yuz.jpg\n```\n\nYa da bat dosyasını çalıştırıp menüden \"2) Açık\" seçip yüz resmini girebilirsin. Mevcut face swap (en sondaki video face swap) seçeneği de olduğu gibi duruyor, bu yeni özellik sadece **son karelere** uygulanıyor."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":319,"cache_read_input_tokens":74384,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":319},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"48395a4c-11c3-4089-a266-2de3d2b625ea","_audit_timestamp":"2026-04-12T19:22:37.181Z","_audit_hmac":"37432fa8dc6fb802e25689fb10db2ffc77db81d2d230b5eb34d7ed9e214153ed"}
{"type":"result","subtype":"success","is_error":false,"duration_ms":235081,"duration_api_ms":182678,"num_turns":33,"result":"Tamamlandı! İşte yaptığım değişikliklerin özeti:\n\n**`muzik_video_uret.py` değişiklikleri:**\n\n1. **`face_swap_image()` fonksiyonu eklendi** — FaceFusion'ı headless modda çağırıp bir resimdeki yüzü değiştiriyor. CUDA desteği, hata yönetimi ve timeout dahil.\n\n2. **`--face-swap` / `-f` argümanı eklendi** — Kaynak yüz resminin yolunu alıyor.\n\n3. **Pipeline akışı şimdi şöyle çalışıyor:**\n   - İlk görsele face swap uygulanır (varsa)\n   - Her segmentin son karesi çıkarılır → o kareye face swap uygulanır → bir sonraki segmente face swap'lı kare verilir\n   - Face swap başarısız olursa orijinal kareyle devam eder (hata toleranslı)\n\n**`Muzik-Video-Uret.bat` değişiklikleri:**\n- Kullanıcıya \"Face Swap açık/kapalı\" seçeneği sunuluyor\n- Açık seçilirse kaynak yüz resmi yolu isteniyor\n- Python script'ine `--face-swap` argümanı geçiriliyor\n\n**Kullanım:**\n```\npython muzik_video_uret.py sarki.mp3 gorsel.jpg --face-swap yuz.jpg\n```\n\nYa da bat dosyasını çalıştırıp menüden \"2) Açık\" seçip yüz resmini girebilirsin. Mevcut face swap (en sondaki video face swap) seçeneği de olduğu gibi duruyor, bu yeni özellik sadece **son karelere** uygulanıyor.","stop_reason":"end_turn","session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","total_cost_usd":1.7473175000000003,"usage":{"input_tokens":34,"cache_creation_input_tokens":78476,"cache_read_input_tokens":2034695,"output_tokens":9573,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":78476,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"modelUsage":{"claude-opus-4-6":{"inputTokens":34,"outputTokens":9573,"cacheReadInputTokens":2034695,"cacheCreationInputTokens":78476,"webSearchRequests":0,"costUSD":1.7473175000000003,"contextWindow":200000,"maxOutputTokens":64000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"d1417bf2-28ca-48f2-b078-734e296ec79e","_audit_timestamp":"2026-04-12T19:22:37.228Z","_audit_hmac":"3b473a24f3c14722b0e93cdc59379c7e7f07ccc1ab9ec1d2598285338f727788"}
{"type":"user","uuid":"1c575034-bd23-4940-92db-a28041b53b13","session_id":"9db1b30d-1aa9-4bb1-9f6f-b0bb9ba3a54f","parent_tool_use_id":null,"message":{"role":"user","content":"güzel şey yapsak birde iyi olurmu sadece soruyorum sadece.Videolar sabit 20 saniye ya onuda 5,6,8,10,20 diye seçenekli yapsak ayarlayabilirmiyiz sistemi şarkılarıda bölebilirmiyiz öyle"},"_audit_timestamp":"2026-04-12T19:48:04.920Z","_audit_hmac":"fe0f0e50e2296d669829d475c33bb2cb80dd8dc6aaf484ccca2555625f7c2489"}
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{"type":"user","message":{"role":"user","content":"güzel şey yapsak birde iyi olurmu sadece soruyorum sadece.Videolar sabit 20 saniye ya onuda 5,6,8,10,20 diye seçenekli yapsak ayarlayabilirmiyiz sistemi şarkılarıda bölebilirmiyiz öyle"},"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","parent_tool_use_id":null,"uuid":"1c575034-bd23-4940-92db-a28041b53b13","timestamp":"2026-04-12T19:45:03.126Z","isReplay":true,"_audit_timestamp":"2026-04-12T19:48:12.152Z","_audit_hmac":"dd43d49448d25edb687543bf84f82b3bf7804e1b1f2841d97e02dc1c501d34f3"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NMcvFApo5iiNXtTqNadPqr","type":"tool_result","content":"1\t@echo off\n2\tchcp 65001 >nul\n3\ttitle Muzik Video Uretici - LTX Desktop API\n4\tsetlocal enabledelayedexpansion\n5\t\n6\tset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\n7\tset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n8\t\n9\tset IMAGE=\n10\tset AUDIO=\n11\tset FACEIMG=\n12\t\n13\techo ============================================\n14\techo   MUZIK VIDEO URETICI - LTX Desktop API\n15\techo   (LTX 2.3 Fast Model - Hizli Uretim)\n16\techo ============================================\n17\techo.\n18\t\n19\tREM Surukle birak ile gelen dosyalari ayikla\n20\tfor %%A in (%*) do (\n21\t    set \"FILE=%%~A\"\n22\t    set \"EXT=%%~xA\"\n23\t    \n24\t    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n25\t    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n26\t    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n27\t    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n28\t    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n29\t    \n30\t    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n31\t    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n32\t    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n33\t    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n34\t)\n35\t\n36\tREM Eger surukle birak ile gelmemisse sor\n37\tif \"%IMAGE%\"==\"\" (\n38\t    echo   [!] Resim dosyasi bulunamadi.\n39\t    echo       Resim ve sarki dosyalarini bu bat'in\n40\t    echo       ustune surukleyip birakin.\n41\t    echo.\n42\t    echo   VEYA asagiya elle yazin:\n43\t    echo.\n44\t    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n45\t)\n46\t\n47\tif \"%AUDIO%\"==\"\" (\n48\t    echo.\n49\t    echo   [!] Sarki dosyasi bulunamadi.\n50\t    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n51\t)\n52\t\n53\tif \"%IMAGE%\"==\"\" (\n54\t    echo HATA: Resim dosyasi gerekli!\n55\t    pause\n56\t    exit /b 1\n57\t)\n58\tif \"%AUDIO%\"==\"\" (\n59\t    echo HATA: Sarki dosyasi gerekli!\n60\t    pause\n61\t    exit /b 1\n62\t)\n63\t\n64\techo.\n65\techo   Resim : %IMAGE%\n66\techo   Sarki : %AUDIO%\n67\techo.\n68\tset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\n69\tif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n70\t\n71\techo.\n72\techo   Cozunurluk secin:\n73\techo     1) 540p (Varsayilan - Dengeli)\n74\techo     2) 720p (Yuksek kalite)\n75\techo     3) 512p (Dusuk - En hizli)\n76\techo.\n77\tset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\n78\tif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\n79\tif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\n80\tif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\n81\tif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\n82\tif not defined RESOLUTION set RESOLUTION=540p\n83\t\n84\techo.\n85\techo   En-boy orani:\n86\techo     1) 16:9 Yatay (Varsayilan - YouTube)\n87\techo     2) 9:16 Dikey (Shorts/Reels)\n88\techo.\n89\tset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\n90\tif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\n91\tif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\n92\tif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\n93\tif not defined ASPECT set ASPECT=16:9\n94\t\n95\techo.\n96\techo   Face Swap (Son karelerde yuz degistirme):\n97\techo     1) Kapali (Varsayilan)\n98\techo     2) Acik - Resim secin\n99\techo.\n100\tset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\n101\tif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\n102\tset FACE_SWAP_ARG=\n103\tif \"%FSWCHOICE%\"==\"2\" (\n104\t    echo.\n105\t    echo   Face swap icin kaynak yuz resmini girin:\n106\t    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n107\t    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n108\t)\n109\t\n110\techo.\n111\techo ============================================\n112\techo   Ayarlar:\n113\techo     Prompt: %PROMPT%\n114\techo     Cozunurluk: %RESOLUTION%\n115\techo     Oran: %ASPECT%\n116\techo     Model: fast (LTX 2.3 Fast)\n117\tif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\n118\techo ============================================\n119\techo.\n120\techo   NOT: LTX Desktop'un acik olmasi gerekir!\n121\techo.\n122\techo   Baslatiliyor...\n123\techo.\n124\t\n125\tif not \"%FACEIMG%\"==\"\" (\n126\t    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n127\t) else (\n128\t    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n129\t)\n130\t\n131\techo.\n132\techo ============================================\n133\techo   Islem tamamlandi!\n134\techo ============================================\n135\techo.\n136\tpause\n137\t"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"7df2fe79-b552-4f8c-95d9-f67ada00d8f3","timestamp":"2026-04-12T19:45:09.054Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","content":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\nif not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","numLines":137,"startLine":1,"totalLines":137}},"_audit_timestamp":"2026-04-12T19:48:12.729Z","_audit_hmac":"b521c2c3da54be6a4551261312b89b061776cf0b9267d828492b4614375c624b"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E37MtgzFoPAJKDWndKC3rM","type":"tool_result","content":"1\t@echo off\n2\tchcp 65001 >nul\n3\ttitle Muzik Video Uretici - LTX Desktop API\n4\tsetlocal enabledelayedexpansion\n5\t\n6\tset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\n7\tset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n8\t\n9\tset IMAGE=\n10\tset AUDIO=\n11\tset FACEIMG=\n12\t\n13\techo ============================================\n14\techo   MUZIK VIDEO URETICI - LTX Desktop API\n15\techo   (LTX 2.3 Fast Model - Hizli Uretim)\n16\techo ============================================\n17\techo.\n18\t\n19\tREM Surukle birak ile gelen dosyalari ayikla\n20\tfor %%A in (%*) do (\n21\t    set \"FILE=%%~A\"\n22\t    set \"EXT=%%~xA\"\n23\t    \n24\t    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n25\t    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n26\t    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n27\t    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n28\t    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n29\t    \n30\t    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n31\t    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n32\t    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n33\t    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n34\t)\n35\t\n36\tREM Eger surukle birak ile gelmemisse sor\n37\tif \"%IMAGE%\"==\"\" (\n38\t    echo   [!] Resim dosyasi bulunamadi.\n39\t    echo       Resim ve sarki dosyalarini bu bat'in\n40\t    echo       ustune surukleyip birakin.\n41\t    echo.\n42\t    echo   VEYA asagiya elle yazin:\n43\t    echo.\n44\t    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n45\t)\n46\t\n47\tif \"%AUDIO%\"==\"\" (\n48\t    echo.\n49\t    echo   [!] Sarki dosyasi bulunamadi.\n50\t    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n51\t)\n52\t\n53\tif \"%IMAGE%\"==\"\" (\n54\t    echo HATA: Resim dosyasi gerekli!\n55\t    pause\n56\t    exit /b 1\n57\t)\n58\tif \"%AUDIO%\"==\"\" (\n59\t    echo HATA: Sarki dosyasi gerekli!\n60\t    pause\n61\t    exit /b 1\n62\t)\n63\t\n64\techo.\n65\techo   Resim : %IMAGE%\n66\techo   Sarki : %AUDIO%\n67\techo.\n68\tset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\n69\tif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n70\t\n71\techo.\n72\techo   Cozunurluk secin:\n73\techo     1) 540p (Varsayilan - Dengeli)\n74\techo     2) 720p (Yuksek kalite)\n75\techo     3) 512p (Dusuk - En hizli)\n76\techo.\n77\tset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\n78\tif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\n79\tif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\n80\tif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\n81\tif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\n82\tif not defined RESOLUTION set RESOLUTION=540p\n83\t\n84\techo.\n85\techo   En-boy orani:\n86\techo     1) 16:9 Yatay (Varsayilan - YouTube)\n87\techo     2) 9:16 Dikey (Shorts/Reels)\n88\techo.\n89\tset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\n90\tif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\n91\tif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\n92\tif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\n93\tif not defined ASPECT set ASPECT=16:9\n94\t\n95\techo.\n96\techo   Face Swap (Son karelerde yuz degistirme):\n97\techo     1) Kapali (Varsayilan)\n98\techo     2) Acik - Resim secin\n99\techo.\n100\tset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\n101\tif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\n102\tset FACE_SWAP_ARG=\n103\tif \"%FSWCHOICE%\"==\"2\" (\n104\t    echo.\n105\t    echo   Face swap icin kaynak yuz resmini girin:\n106\t    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n107\t    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n108\t)\n109\t\n110\techo.\n111\techo ============================================\n112\techo   Ayarlar:\n113\techo     Prompt: %PROMPT%\n114\techo     Cozunurluk: %RESOLUTION%\n115\techo     Oran: %ASPECT%\n116\techo     Model: fast (LTX 2.3 Fast)\n117\tif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\n118\techo ============================================\n119\techo.\n120\techo   NOT: LTX Desktop'un acik olmasi gerekir!\n121\techo.\n122\techo   Baslatiliyor...\n123\techo.\n124\t\n125\tif not \"%FACEIMG%\"==\"\" (\n126\t    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n127\t) else (\n128\t    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n129\t)\n130\t\n131\techo.\n132\techo ============================================\n133\techo   Islem tamamlandi!\n134\techo ============================================\n135\techo.\n136\tpause\n137\t"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"dff8f0a6-abc3-48a3-aca6-87bfafc49922","timestamp":"2026-04-12T19:46:17.162Z","tool_use_result":{"type":"text","file":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","content":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\nif not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","numLines":137,"startLine":1,"totalLines":137}},"_audit_timestamp":"2026-04-12T19:49:20.839Z","_audit_hmac":"c4a3ffb3325a121ebb8a6b83e52680bbfbde998cae6b9b57a95cc15baec4bf95"}
{"type":"rate_limit_event","rate_limit_info":{"status":"allowed","resetsAt":1776024000,"rateLimitType":"five_hour","overageStatus":"rejected","overageDisabledReason":"org_level_disabled","isUsingOverage":false},"uuid":"76d51a28-20cd-408f-aa73-f13752c9ee3d","session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","_audit_timestamp":"2026-04-12T19:49:20.840Z","_audit_hmac":"9293083f10150f2c4d76d69aac4bbda49b03dc913c3d0aa449d4016bc1a77dad"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_013fbV6FCfGCKMHA3SXvBeAS","type":"message","role":"assistant","content":[{"type":"text","text":"Çözünürlüğe göre hangi sürelerin geçerli olduğunu biliyorum (koddan): 540p→max 20s, 720p→max 10s, 1080p→max 5s. Segment süresi seçeneğini çözünürlüğe bağlı dinamik göstereceğim."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2015,"cache_read_input_tokens":77472,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2015},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"fae8feae-a262-4fdb-995d-33df6257deec","_audit_timestamp":"2026-04-12T19:49:25.759Z","_audit_hmac":"58255eef01d6cdba6b0f4da23c1ecff02f30b8822deca05c12b1e1df1669b58a"}
{"type":"user","uuid":"473fc6a0-797d-45dc-8061-a0f042f7d2c4","session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","parent_tool_use_id":null,"message":{"role":"user","content":"çözünürlüğe bağlama"},"_audit_timestamp":"2026-04-12T19:49:35.671Z","_audit_hmac":"db14ba722d8b767d28f39509982c2dce065bda373b8571cb196a44b786b9ce76"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_013fbV6FCfGCKMHA3SXvBeAS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011VqxQJV1S3PGhUxuCXbfec","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","old_string":"echo.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9","new_string":"echo.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Segment suresi (her parca kac saniye olsun):\nif \"%RESOLUTION%\"==\"540p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"512p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"720p\" (\n    echo     1) 10s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 8s   - Orta parcalar\n    echo     3) 6s   - Kisa parcalar\n    echo     4) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-4, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"1080p\" (\n    echo     (1080p'de sadece 5s desteklenir)\n    set SEGDUR=5\n)\nif not defined SEGDUR set SEGDUR=20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2015,"cache_read_input_tokens":77472,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2015},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"648ac30a-214e-41d5-b503-a5fcd51ff1fd","_audit_timestamp":"2026-04-12T19:49:37.834Z","_audit_hmac":"730489615ee5a8e1fd8e489e50fd15353a197e7321ddc7e87c40945fb1c47895"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011VqxQJV1S3PGhUxuCXbfec","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"768f735a-cd2b-4d12-ba9d-3bdf9efbe9ef","timestamp":"2026-04-12T19:46:34.272Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","oldString":"echo.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9","newString":"echo.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Segment suresi (her parca kac saniye olsun):\nif \"%RESOLUTION%\"==\"540p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"512p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"720p\" (\n    echo     1) 10s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 8s   - Orta parcalar\n    echo     3) 6s   - Kisa parcalar\n    echo     4) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-4, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"1080p\" (\n    echo     (1080p'de sadece 5s desteklenir)\n    set SEGDUR=5\n)\nif not defined SEGDUR set SEGDUR=20","originalFile":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\nif not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","structuredPatch":[{"oldStart":93,"oldLines":6,"newStart":93,"newLines":57,"lines":[" if not defined ASPECT set ASPECT=16:9"," "," echo.","+echo   Segment suresi (her parca kac saniye olsun):","+if \"%RESOLUTION%\"==\"540p\" (","+    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)","+    echo     2) 10s  - Orta parcalar, dengeli","+    echo     3) 8s   - Kisa parcalar","+    echo     4) 6s   - Cok kisa, daha tutarli yuz","+    echo     5) 5s   - En kisa, en az halusinasyon","+    echo.","+    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"","+    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1","+    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20","+    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10","+    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8","+    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6","+    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5","+)","+if \"%RESOLUTION%\"==\"512p\" (","+    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)","+    echo     2) 10s  - Orta parcalar, dengeli","+    echo     3) 8s   - Kisa parcalar","+    echo     4) 6s   - Cok kisa, daha tutarli yuz","+    echo     5) 5s   - En kisa, en az halusinasyon","+    echo.","+    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"","+    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1","+    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20","+    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10","+    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8","+    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6","+    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5","+)","+if \"%RESOLUTION%\"==\"720p\" (","+    echo     1) 10s  - Uzun parcalar, az gecis (Varsayilan)","+    echo     2) 8s   - Orta parcalar","+    echo     3) 6s   - Kisa parcalar","+    echo     4) 5s   - En kisa, en az halusinasyon","+    echo.","+    set /p SEGCHOICE=\"  Seciminiz (1-4, Enter=1): \"","+    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1","+    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=10","+    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=8","+    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=6","+    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=5","+)","+if \"%RESOLUTION%\"==\"1080p\" (","+    echo     (1080p'de sadece 5s desteklenir)","+    set SEGDUR=5","+)","+if not defined SEGDUR set SEGDUR=20","+","+echo."," echo   Face Swap (Son karelerde yuz degistirme):"," echo     1) Kapali (Varsayilan)"," echo     2) Acik - Resim secin"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:49:37.927Z","_audit_hmac":"c0726d7675d7df5560f4045d55f4974b54a2b358d5a1837fcf6448346ad19753"}
{"type":"user","message":{"role":"user","content":"çözünürlüğe bağlama"},"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","parent_tool_use_id":null,"uuid":"473fc6a0-797d-45dc-8061-a0f042f7d2c4","timestamp":"2026-04-12T19:46:34.297Z","isReplay":true,"_audit_timestamp":"2026-04-12T19:49:37.934Z","_audit_hmac":"410d1951c144052af003b2317df2625f8766c0d0474b6300ec28b1ada237e0d1"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01XE7dQTavwtLxykHrU79h9c","type":"message","role":"assistant","content":[{"type":"text","text":"Kullanıcı çözünürlüğe bağlamamı istiyor, hepsini düz 5 seçenek olarak göstereyim. Python tarafı zaten çözünürlüğe göre otomatik kırpıyor, bat'ta sadece seçenekleri sunsak yeter."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1535,"cache_read_input_tokens":79487,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1535},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"c5c1b77c-07f5-41ed-b24e-16a0f53439e5","_audit_timestamp":"2026-04-12T19:49:42.521Z","_audit_hmac":"3d79836f5a4f0f1414fb8fb7369d61ac0aae603b9ce927d8f6e03bcf2fa1a556"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01XE7dQTavwtLxykHrU79h9c","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A2VZqh2YQjGnQq6S7AUCAc","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","old_string":"echo.\necho   Segment suresi (her parca kac saniye olsun):\nif \"%RESOLUTION%\"==\"540p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"512p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"720p\" (\n    echo     1) 10s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 8s   - Orta parcalar\n    echo     3) 6s   - Kisa parcalar\n    echo     4) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-4, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"1080p\" (\n    echo     (1080p'de sadece 5s desteklenir)\n    set SEGDUR=5\n)\nif not defined SEGDUR set SEGDUR=20","new_string":"echo.\necho   Segment suresi (her parca kac saniye olsun):\necho     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\necho     2) 10s  - Orta parcalar, dengeli\necho     3) 8s   - Kisa parcalar\necho     4) 6s   - Cok kisa, daha tutarli yuz\necho     5) 5s   - En kisa, en az halusinasyon\necho.\necho     NOT: Cozunurlugun desteklemedigi sureler otomatik dusurulur\necho          (720p max 10s, 1080p max 5s)\necho.\nset /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\nif \"%SEGCHOICE%\"==\"\" set SEGCHOICE=1\nif \"%SEGCHOICE%\"==\"1\" set SEGDUR=20\nif \"%SEGCHOICE%\"==\"2\" set SEGDUR=10\nif \"%SEGCHOICE%\"==\"3\" set SEGDUR=8\nif \"%SEGCHOICE%\"==\"4\" set SEGDUR=6\nif \"%SEGCHOICE%\"==\"5\" set SEGDUR=5\nif not defined SEGDUR set SEGDUR=20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1535,"cache_read_input_tokens":79487,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1535},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"ad93022e-e3e5-4227-bad7-85cd21554d40","_audit_timestamp":"2026-04-12T19:49:53.132Z","_audit_hmac":"7aabb81d3fadfacdf1fd8c2883e46cace09b0923de49d88081239e125dcd57cb"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A2VZqh2YQjGnQq6S7AUCAc","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"5fd40431-67a5-4066-9781-037adc31be07","timestamp":"2026-04-12T19:46:49.517Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","oldString":"echo.\necho   Segment suresi (her parca kac saniye olsun):\nif \"%RESOLUTION%\"==\"540p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"512p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"720p\" (\n    echo     1) 10s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 8s   - Orta parcalar\n    echo     3) 6s   - Kisa parcalar\n    echo     4) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-4, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"1080p\" (\n    echo     (1080p'de sadece 5s desteklenir)\n    set SEGDUR=5\n)\nif not defined SEGDUR set SEGDUR=20","newString":"echo.\necho   Segment suresi (her parca kac saniye olsun):\necho     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\necho     2) 10s  - Orta parcalar, dengeli\necho     3) 8s   - Kisa parcalar\necho     4) 6s   - Cok kisa, daha tutarli yuz\necho     5) 5s   - En kisa, en az halusinasyon\necho.\necho     NOT: Cozunurlugun desteklemedigi sureler otomatik dusurulur\necho          (720p max 10s, 1080p max 5s)\necho.\nset /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\nif \"%SEGCHOICE%\"==\"\" set SEGCHOICE=1\nif \"%SEGCHOICE%\"==\"1\" set SEGDUR=20\nif \"%SEGCHOICE%\"==\"2\" set SEGDUR=10\nif \"%SEGCHOICE%\"==\"3\" set SEGDUR=8\nif \"%SEGCHOICE%\"==\"4\" set SEGDUR=6\nif \"%SEGCHOICE%\"==\"5\" set SEGDUR=5\nif not defined SEGDUR set SEGDUR=20","originalFile":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Segment suresi (her parca kac saniye olsun):\nif \"%RESOLUTION%\"==\"540p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"512p\" (\n    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 10s  - Orta parcalar, dengeli\n    echo     3) 8s   - Kisa parcalar\n    echo     4) 6s   - Cok kisa, daha tutarli yuz\n    echo     5) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"720p\" (\n    echo     1) 10s  - Uzun parcalar, az gecis (Varsayilan)\n    echo     2) 8s   - Orta parcalar\n    echo     3) 6s   - Kisa parcalar\n    echo     4) 5s   - En kisa, en az halusinasyon\n    echo.\n    set /p SEGCHOICE=\"  Seciminiz (1-4, Enter=1): \"\n    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1\n    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=10\n    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=8\n    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=6\n    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=5\n)\nif \"%RESOLUTION%\"==\"1080p\" (\n    echo     (1080p'de sadece 5s desteklenir)\n    set SEGDUR=5\n)\nif not defined SEGDUR set SEGDUR=20\n\necho.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\nif not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","structuredPatch":[{"oldStart":94,"oldLines":53,"newStart":94,"newLines":22,"lines":[" "," echo."," echo   Segment suresi (her parca kac saniye olsun):","-if \"%RESOLUTION%\"==\"540p\" (","-    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)","-    echo     2) 10s  - Orta parcalar, dengeli","-    echo     3) 8s   - Kisa parcalar","-    echo     4) 6s   - Cok kisa, daha tutarli yuz","-    echo     5) 5s   - En kisa, en az halusinasyon","-    echo.","-    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"","-    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1","-    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20","-    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10","-    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8","-    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6","-    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5","-)","-if \"%RESOLUTION%\"==\"512p\" (","-    echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)","-    echo     2) 10s  - Orta parcalar, dengeli","-    echo     3) 8s   - Kisa parcalar","-    echo     4) 6s   - Cok kisa, daha tutarli yuz","-    echo     5) 5s   - En kisa, en az halusinasyon","-    echo.","-    set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"","-    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1","-    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=20","-    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=10","-    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=8","-    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=6","-    if \"!SEGCHOICE!\"==\"5\" set SEGDUR=5","-)","-if \"%RESOLUTION%\"==\"720p\" (","-    echo     1) 10s  - Uzun parcalar, az gecis (Varsayilan)","-    echo     2) 8s   - Orta parcalar","-    echo     3) 6s   - Kisa parcalar","-    echo     4) 5s   - En kisa, en az halusinasyon","-    echo.","-    set /p SEGCHOICE=\"  Seciminiz (1-4, Enter=1): \"","-    if \"!SEGCHOICE!\"==\"\" set SEGCHOICE=1","-    if \"!SEGCHOICE!\"==\"1\" set SEGDUR=10","-    if \"!SEGCHOICE!\"==\"2\" set SEGDUR=8","-    if \"!SEGCHOICE!\"==\"3\" set SEGDUR=6","-    if \"!SEGCHOICE!\"==\"4\" set SEGDUR=5","-)","-if \"%RESOLUTION%\"==\"1080p\" (","-    echo     (1080p'de sadece 5s desteklenir)","-    set SEGDUR=5","-)","+echo     1) 20s  - Uzun parcalar, az gecis (Varsayilan)","+echo     2) 10s  - Orta parcalar, dengeli","+echo     3) 8s   - Kisa parcalar","+echo     4) 6s   - Cok kisa, daha tutarli yuz","+echo     5) 5s   - En kisa, en az halusinasyon","+echo.","+echo     NOT: Cozunurlugun desteklemedigi sureler otomatik dusurulur","+echo          (720p max 10s, 1080p max 5s)","+echo.","+set /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"","+if \"%SEGCHOICE%\"==\"\" set SEGCHOICE=1","+if \"%SEGCHOICE%\"==\"1\" set SEGDUR=20","+if \"%SEGCHOICE%\"==\"2\" set SEGDUR=10","+if \"%SEGCHOICE%\"==\"3\" set SEGDUR=8","+if \"%SEGCHOICE%\"==\"4\" set SEGDUR=6","+if \"%SEGCHOICE%\"==\"5\" set SEGDUR=5"," if not defined SEGDUR set SEGDUR=20"," "," echo."]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:49:53.262Z","_audit_hmac":"05c1dc0c9e7709bba22b99b20ed774422d0f60e1119a7201f9caecef7820c489"}
{"type":"user","uuid":"7210f41b-e7a6-4e06-9ccf-326b59b07474","session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","parent_tool_use_id":null,"message":{"role":"user","content":"hayır kullanıcı kendi seçsin"},"_audit_timestamp":"2026-04-12T19:49:54.740Z","_audit_hmac":"cc33367ca512cad4b06af79a4a59315fcf37627a91170f485823e9577481c14c"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01FgFayQYRHvQ6U8uUcj1jMm","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi Ayarlar özetine ve python çağrısına segment süresini ekleyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1701,"cache_read_input_tokens":81022,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1701},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"6f2a52e8-7b22-4e6c-9a73-ed55f3f527f0","_audit_timestamp":"2026-04-12T19:49:56.769Z","_audit_hmac":"deb46584ff77c0cbba5b2b9db220df6f3d31155d56175af17556e654c175eb0b"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01FgFayQYRHvQ6U8uUcj1jMm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AhP6VpGvSgsmUTYQhvLzPt","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","old_string":"echo.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================","new_string":"echo.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Segment: %SEGDUR%s\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1701,"cache_read_input_tokens":81022,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1701},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"010037d3-f102-4fe0-a0e2-7408cf37600f","_audit_timestamp":"2026-04-12T19:49:58.933Z","_audit_hmac":"f78ec51d3cb09e865f9b156928389c04ee6f4a191c06fb8427938cb656399487"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AhP6VpGvSgsmUTYQhvLzPt","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"29b35aea-7c6f-4ff4-8cc0-cf2bc72aa14e","timestamp":"2026-04-12T19:46:55.313Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","oldString":"echo.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================","newString":"echo.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Segment: %SEGDUR%s\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================","originalFile":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Segment suresi (her parca kac saniye olsun):\necho     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\necho     2) 10s  - Orta parcalar, dengeli\necho     3) 8s   - Kisa parcalar\necho     4) 6s   - Cok kisa, daha tutarli yuz\necho     5) 5s   - En kisa, en az halusinasyon\necho.\necho     NOT: Cozunurlugun desteklemedigi sureler otomatik dusurulur\necho          (720p max 10s, 1080p max 5s)\necho.\nset /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\nif \"%SEGCHOICE%\"==\"\" set SEGCHOICE=1\nif \"%SEGCHOICE%\"==\"1\" set SEGDUR=20\nif \"%SEGCHOICE%\"==\"2\" set SEGDUR=10\nif \"%SEGCHOICE%\"==\"3\" set SEGDUR=8\nif \"%SEGCHOICE%\"==\"4\" set SEGDUR=6\nif \"%SEGCHOICE%\"==\"5\" set SEGDUR=5\nif not defined SEGDUR set SEGDUR=20\n\necho.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\nif not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","structuredPatch":[{"oldStart":133,"oldLines":6,"newStart":133,"newLines":7,"lines":[" echo     Prompt: %PROMPT%"," echo     Cozunurluk: %RESOLUTION%"," echo     Oran: %ASPECT%","+echo     Segment: %SEGDUR%s"," echo     Model: fast (LTX 2.3 Fast)"," if not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%"," echo ============================================"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:49:58.987Z","_audit_hmac":"a867a2ffb5b91ae7d5e416a0cd7e0f31bc9c172362f66560351436551178b711"}
{"type":"user","message":{"role":"user","content":"hayır kullanıcı kendi seçsin"},"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","parent_tool_use_id":null,"uuid":"7210f41b-e7a6-4e06-9ccf-326b59b07474","timestamp":"2026-04-12T19:46:55.353Z","isReplay":true,"_audit_timestamp":"2026-04-12T19:49:58.989Z","_audit_hmac":"e2c65d0a6e0d38963fe6081b57bea8140637a2d8c887f44e813670f3af5caa8c"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01CN6HT6P6W5QqSXiuqDTXaw","type":"message","role":"assistant","content":[{"type":"text","text":"Kullanıcı zaten kendi seçiyor — 5 seçenek sunuyorum ve kullanıcı 1-5 arası giriyor. Şimdi python çağrısına `--segment-duration` argümanını ekleyeyim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":504,"cache_read_input_tokens":82723,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":504},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"1af2b0de-81e3-4029-9830-75c30b99ef9f","_audit_timestamp":"2026-04-12T19:50:02.741Z","_audit_hmac":"1e9d3496ff769dc280432a3e0b54e59266354ccf808e0c5fece4c28f67083379"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01CN6HT6P6W5QqSXiuqDTXaw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019pxquW827L8zjNmBT1Ha1G","name":"Edit","input":{"replace_all":false,"file_path":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","old_string":"if not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)","new_string":"if not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --segment-duration %SEGDUR% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --segment-duration %SEGDUR%\n)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":504,"cache_read_input_tokens":82723,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":504},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"676be933-4d0c-49c2-8af1-7bb3daad05f9","_audit_timestamp":"2026-04-12T19:50:05.419Z","_audit_hmac":"2c34fa06d3852fc261585d7e8711040f461545bbed6356cfbabd49c5f69645ec"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019pxquW827L8zjNmBT1Ha1G","type":"tool_result","content":"The file /sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"2f5144c6-0271-4b94-a0fe-4dedb3c46da0","timestamp":"2026-04-12T19:47:01.805Z","tool_use_result":{"filePath":"/sessions/nifty-upbeat-hopper/mnt/video-uretim/Muzik-Video-Uret.bat","oldString":"if not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)","newString":"if not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --segment-duration %SEGDUR% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --segment-duration %SEGDUR%\n)","originalFile":"@echo off\nchcp 65001 >nul\ntitle Muzik Video Uretici - LTX Desktop API\nsetlocal enabledelayedexpansion\n\nset PYTHON=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\LTX-Desktop-WanGP\\backend\\.venv\\Scripts\\python.exe\"\nset SCRIPT=\"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\muzik_video_uret.py\"\n\nset IMAGE=\nset AUDIO=\nset FACEIMG=\n\necho ============================================\necho   MUZIK VIDEO URETICI - LTX Desktop API\necho   (LTX 2.3 Fast Model - Hizli Uretim)\necho ============================================\necho.\n\nREM Surukle birak ile gelen dosyalari ayikla\nfor %%A in (%*) do (\n    set \"FILE=%%~A\"\n    set \"EXT=%%~xA\"\n    \n    if /i \"!EXT!\"==\".png\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".jpeg\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".webp\" set \"IMAGE=%%~A\"\n    if /i \"!EXT!\"==\".bmp\" set \"IMAGE=%%~A\"\n    \n    if /i \"!EXT!\"==\".mp3\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".wav\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".flac\" set \"AUDIO=%%~A\"\n    if /i \"!EXT!\"==\".m4a\" set \"AUDIO=%%~A\"\n)\n\nREM Eger surukle birak ile gelmemisse sor\nif \"%IMAGE%\"==\"\" (\n    echo   [!] Resim dosyasi bulunamadi.\n    echo       Resim ve sarki dosyalarini bu bat'in\n    echo       ustune surukleyip birakin.\n    echo.\n    echo   VEYA asagiya elle yazin:\n    echo.\n    set /p IMAGE=\"  Resim yolu (png/jpg): \"\n)\n\nif \"%AUDIO%\"==\"\" (\n    echo.\n    echo   [!] Sarki dosyasi bulunamadi.\n    set /p AUDIO=\"  Sarki yolu (mp3/wav): \"\n)\n\nif \"%IMAGE%\"==\"\" (\n    echo HATA: Resim dosyasi gerekli!\n    pause\n    exit /b 1\n)\nif \"%AUDIO%\"==\"\" (\n    echo HATA: Sarki dosyasi gerekli!\n    pause\n    exit /b 1\n)\n\necho.\necho   Resim : %IMAGE%\necho   Sarki : %AUDIO%\necho.\nset /p PROMPT=\"  Video aciklamasi (Enter=varsayilan): \"\nif \"%PROMPT%\"==\"\" set PROMPT=cinematic slow motion, beautiful scenery, atmospheric lighting, high quality 4k\n\necho.\necho   Cozunurluk secin:\necho     1) 540p (Varsayilan - Dengeli)\necho     2) 720p (Yuksek kalite)\necho     3) 512p (Dusuk - En hizli)\necho.\nset /p RESCHOICE=\"  Seciminiz (1/2/3, Enter=1): \"\nif \"%RESCHOICE%\"==\"\" set RESCHOICE=1\nif \"%RESCHOICE%\"==\"1\" set RESOLUTION=540p\nif \"%RESCHOICE%\"==\"2\" set RESOLUTION=720p\nif \"%RESCHOICE%\"==\"3\" set RESOLUTION=512p\nif not defined RESOLUTION set RESOLUTION=540p\n\necho.\necho   En-boy orani:\necho     1) 16:9 Yatay (Varsayilan - YouTube)\necho     2) 9:16 Dikey (Shorts/Reels)\necho.\nset /p ASPECTCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%ASPECTCHOICE%\"==\"\" set ASPECTCHOICE=1\nif \"%ASPECTCHOICE%\"==\"1\" set ASPECT=16:9\nif \"%ASPECTCHOICE%\"==\"2\" set ASPECT=9:16\nif not defined ASPECT set ASPECT=16:9\n\necho.\necho   Segment suresi (her parca kac saniye olsun):\necho     1) 20s  - Uzun parcalar, az gecis (Varsayilan)\necho     2) 10s  - Orta parcalar, dengeli\necho     3) 8s   - Kisa parcalar\necho     4) 6s   - Cok kisa, daha tutarli yuz\necho     5) 5s   - En kisa, en az halusinasyon\necho.\necho     NOT: Cozunurlugun desteklemedigi sureler otomatik dusurulur\necho          (720p max 10s, 1080p max 5s)\necho.\nset /p SEGCHOICE=\"  Seciminiz (1-5, Enter=1): \"\nif \"%SEGCHOICE%\"==\"\" set SEGCHOICE=1\nif \"%SEGCHOICE%\"==\"1\" set SEGDUR=20\nif \"%SEGCHOICE%\"==\"2\" set SEGDUR=10\nif \"%SEGCHOICE%\"==\"3\" set SEGDUR=8\nif \"%SEGCHOICE%\"==\"4\" set SEGDUR=6\nif \"%SEGCHOICE%\"==\"5\" set SEGDUR=5\nif not defined SEGDUR set SEGDUR=20\n\necho.\necho   Face Swap (Son karelerde yuz degistirme):\necho     1) Kapali (Varsayilan)\necho     2) Acik - Resim secin\necho.\nset /p FSWCHOICE=\"  Seciminiz (1/2, Enter=1): \"\nif \"%FSWCHOICE%\"==\"\" set FSWCHOICE=1\nset FACE_SWAP_ARG=\nif \"%FSWCHOICE%\"==\"2\" (\n    echo.\n    echo   Face swap icin kaynak yuz resmini girin:\n    set /p FACEIMG=\"  Yuz resmi yolu (png/jpg): \"\n    if not \"!FACEIMG!\"==\"\" set \"FACE_SWAP_ARG=--face-swap \"!FACEIMG!\"\"\n)\n\necho.\necho ============================================\necho   Ayarlar:\necho     Prompt: %PROMPT%\necho     Cozunurluk: %RESOLUTION%\necho     Oran: %ASPECT%\necho     Segment: %SEGDUR%s\necho     Model: fast (LTX 2.3 Fast)\nif not \"%FACEIMG%\"==\"\" echo     Face Swap: %FACEIMG%\necho ============================================\necho.\necho   NOT: LTX Desktop'un acik olmasi gerekir!\necho.\necho   Baslatiliyor...\necho.\n\nif not \"%FACEIMG%\"==\"\" (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"\n) else (\n    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%\n)\n\necho.\necho ============================================\necho   Islem tamamlandi!\necho ============================================\necho.\npause\n","structuredPatch":[{"oldStart":144,"oldLines":9,"newStart":144,"newLines":9,"lines":[" echo."," "," if not \"%FACEIMG%\"==\"\" (","-    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --face-swap \"%FACEIMG%\"","+    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --segment-duration %SEGDUR% --face-swap \"%FACEIMG%\""," ) else (","-    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT%","+    %PYTHON% %SCRIPT% \"%AUDIO%\" \"%IMAGE%\" --prompt \"%PROMPT%\" --resolution %RESOLUTION% --aspect %ASPECT% --segment-duration %SEGDUR%"," )"," "," echo."]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-12T19:50:05.483Z","_audit_hmac":"5f47191e8d4220a7f524035abdbdc2078b4914dcab8797687df0f17a09d497ec"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01PpVSQGin8f1WvpS5jKqJkj","type":"message","role":"assistant","content":[{"type":"text","text":"Ama \"kullanıcı kendi seçsin\" derken çözünürlük kısıtlamasını kaldırmamı mı istiyorsun? Yani 720p'de de 20s seçebilsin, Python tarafı otomatik düşürmesin mi? Şu anki hali şöyle:\n\n- Bat'ta 5 seçenek herkes için aynı gösteriliyor (çözünürlüğe bağlı değil ✓)\n- Ama Python tarafında `snap_to_allowed_duration` fonksiyonu 720p'de 20s seçilse bile 10s'e düşürüyor\n\nŞimdi Python'daki o otomatik düşürme mantığını kaldırayım mı yoksa sadece uyarı verip kullanıcının seçtiği değeri kullansın mı? Aslında LTX API'si 720p'de 20s'i desteklemiyor, o yüzden Python'daki kısıtlama kalmalı — yoksa API hata verir. Ama NOT satırıyla kullanıcıya bilgi veriyoruz zaten.\n\nMevcut hali doğru çalışıyor: kullanıcı istediğini seçer, sistem desteklemiyorsa otomatik en yakın değere düşürür ve ekranda gösterir. Bu şekilde iyi mi?"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":491,"cache_read_input_tokens":83227,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":491},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","uuid":"b5215a5c-0f25-4807-bacc-7083b46b9d5e","_audit_timestamp":"2026-04-12T19:50:16.222Z","_audit_hmac":"0704e3c3e5282185cda18a7793e165e89ef0bc1e3532ab9c22216fac381a84ec"}
{"type":"result","subtype":"success","is_error":false,"duration_ms":62276,"duration_api_ms":61876,"num_turns":6,"result":"Ama \"kullanıcı kendi seçsin\" derken çözünürlük kısıtlamasını kaldırmamı mı istiyorsun? Yani 720p'de de 20s seçebilsin, Python tarafı otomatik düşürmesin mi? Şu anki hali şöyle:\n\n- Bat'ta 5 seçenek herkes için aynı gösteriliyor (çözünürlüğe bağlı değil ✓)\n- Ama Python tarafında `snap_to_allowed_duration` fonksiyonu 720p'de 20s seçilse bile 10s'e düşürüyor\n\nŞimdi Python'daki o otomatik düşürme mantığını kaldırayım mı yoksa sadece uyarı verip kullanıcının seçtiği değeri kullansın mı? Aslında LTX API'si 720p'de 20s'i desteklemiyor, o yüzden Python'daki kısıtlama kalmalı — yoksa API hata verir. Ama NOT satırıyla kullanıcıya bilgi veriyoruz zaten.\n\nMevcut hali doğru çalışıyor: kullanıcı istediğini seçer, sistem desteklemiyorsa otomatik en yakın değere düşürür ve ekranda gösterir. Bu şekilde iyi mi?","stop_reason":"end_turn","session_id":"40e7eca4-6b4e-4015-916f-c26a3c74591a","total_cost_usd":0.5789105,"usage":{"input_tokens":8,"cache_creation_input_tokens":40508,"cache_read_input_tokens":447141,"output_tokens":4085,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":40508,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"modelUsage":{"claude-opus-4-6":{"inputTokens":8,"outputTokens":4085,"cacheReadInputTokens":447141,"cacheCreationInputTokens":40508,"webSearchRequests":0,"costUSD":0.5789105,"contextWindow":200000,"maxOutputTokens":64000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"61ed8942-56e9-4619-9ce6-a2a7f53f4352","_audit_timestamp":"2026-04-12T19:50:16.307Z","_audit_hmac":"670ff1a697b61323821a23139de78db10983739146d0eecfaf7a72aaca7fbce6"}