添加视频切片功能

.gitignore

@@ -2,3 +2,4 @@
 __pycache__/
 app.log
 temp_files
+frames

file_cleanup.py

@@ -6,28 +6,50 @@ import logging
 from shared_utils import file_registry, file_lock, task_registry, task_lock
 
 UPLOAD_FOLDER = 'temp_files'
+FRAMES_FOLDER = 'frames'  # 视频帧提取任务文件夹
 CLEANUP_INTERVAL = 3600  # 清理临时文件的间隔(秒)
 FILE_EXPIRY = 7200  # 文件过期时间(秒)
+TASK_EXPIRY = 7200  # 任务记录过期时间(秒)
 
 def cleanup_temp_files():
     current_time = time.time()
     expired_folders = []
 
-    for folder_name in os.listdir(UPLOAD_FOLDER):
-        folder_path = os.path.join(UPLOAD_FOLDER, folder_name)
-        
-        if not os.path.isdir(folder_path):
-            continue
+    # 清理temp_files目录
+    if os.path.exists(UPLOAD_FOLDER):
+        for folder_name in os.listdir(UPLOAD_FOLDER):
+            folder_path = os.path.join(UPLOAD_FOLDER, folder_name)
 
-        try:
-            folder_mtime = os.path.getmtime(folder_path)
-            
-            if current_time - folder_mtime > FILE_EXPIRY:
-                expired_folders.append(folder_path)
-                logging.info(f"检测到过期文件夹: {folder_path} (修改时间: {time.ctime(folder_mtime)})")
-        except Exception as e:
-            logging.error(f"获取文件夹 {folder_path} 信息失败: {e}")
+            if not os.path.isdir(folder_path):
+                continue
 
+            try:
+                folder_mtime = os.path.getmtime(folder_path)
+
+                if current_time - folder_mtime > FILE_EXPIRY:
+                    expired_folders.append(folder_path)
+                    logging.info(f"检测到过期文件夹: {folder_path} (修改时间: {time.ctime(folder_mtime)})")
+            except Exception as e:
+                logging.error(f"获取文件夹 {folder_path} 信息失败: {e}")
+
+    # 清理frames目录
+    if os.path.exists(FRAMES_FOLDER):
+        for folder_name in os.listdir(FRAMES_FOLDER):
+            folder_path = os.path.join(FRAMES_FOLDER, folder_name)
+
+            if not os.path.isdir(folder_path):
+                continue
+
+            try:
+                folder_mtime = os.path.getmtime(folder_path)
+
+                if current_time - folder_mtime > FILE_EXPIRY:
+                    expired_folders.append(folder_path)
+                    logging.info(f"检测到过期视频帧文件夹: {folder_path} (修改时间: {time.ctime(folder_mtime)})")
+            except Exception as e:
+                logging.error(f"获取视频帧文件夹 {folder_path} 信息失败: {e}")
+
+    # 删除所有过期文件夹
     for folder_path in expired_folders:
         try:
             shutil.rmtree(folder_path)
@@ -36,18 +58,36 @@ def cleanup_temp_files():
             logging.error(f"删除文件夹 {folder_path} 失败: {e}")
 
     logging.info(f"清理完成，共删除 {len(expired_folders)} 个过期文件夹")
-    
-    # 同时清理过期的任务记录（超过2小时）
+
+    # 清理过期的任务记录和文件记录
+    cleanup_expired_registries(current_time)
+
+def cleanup_expired_registries(current_time):
+    """清理过期的任务记录和文件记录"""
+    # 清理过期的任务记录
     with task_lock:
         expired_tasks = []
         for task_id, task_info in list(task_registry.items()):
-            if current_time - task_info['create_time'] > FILE_EXPIRY:
+            if current_time - task_info['create_time'] > TASK_EXPIRY:
                 expired_tasks.append(task_id)
-        
+
         for task_id in expired_tasks:
             del task_registry[task_id]
             logging.info(f"已清理过期任务记录: {task_id}")
 
+    # 清理过期的文件记录（基于最后访问时间）
+    with file_lock:
+        expired_files = []
+        for file_id, file_info in list(file_registry.items()):
+            if current_time - file_info['last_access'] > FILE_EXPIRY:
+                expired_files.append(file_id)
+
+        for file_id in expired_files:
+            del file_registry[file_id]
+            logging.info(f"已清理过期文件记录: {file_id}")
+
+    logging.info(f"共清理 {len(expired_tasks)} 个任务记录和 {len(expired_files)} 个文件记录")
+
 def start_cleanup_thread():
     def cleanup_loop():
         while True:

main.py

@@ -15,6 +15,7 @@ app = Flask(__name__)
 try:
     from ffmpeg_utils import process_ffmpeg
     from sanjuuni_utils import process_sanjuuni
+    from video_frame_utils import process_video_frame_extraction
     from file_cleanup import start_cleanup_thread
 except ImportError as e:
     logging.error(f"导入模块时出错: {e}")
@@ -23,6 +24,8 @@ except ImportError as e:
         return {'error': 'FFmpeg模块未正确导入'}
     def process_sanjuuni(*args, **kwargs):
         return {'error': 'Sanjuuni模块未正确导入'}
+    def process_video_frame_extraction(*args, **kwargs):
+        return {'error': '视频帧提取模块未正确导入'}
     def start_cleanup_thread():
         pass
 
@@ -37,6 +40,14 @@ enter_parameter_table = {
         "input_url": str,
         "output_format": str,
         "args": list
+    },
+    "video_frame": {
+        "video_url": str,
+        "w": int,
+        "h": int,
+        "fps": int,
+        "force_resolution": bool,
+        "pad_to_target": bool
     }
 }
 
@@ -140,11 +151,11 @@ def sanjuuni_async_api():
 
     # 生成任务ID
     task_id = str(uuid.uuid4())[:8]
-    
+
     # 获取请求的主机信息用于构建URL
     host = request.host
     scheme = request.scheme
-    
+
     # 初始化任务状态
     with task_lock:
         task_registry[task_id] = {
@@ -155,7 +166,7 @@ def sanjuuni_async_api():
             'last_returned_index': 0,  # 记录最后返回的日志索引
             'progress': 0
         }
-    
+
     # 启动异步任务
     thread = threading.Thread(
         target=run_async_task,
@@ -163,9 +174,9 @@ def sanjuuni_async_api():
     )
     thread.daemon = True
     thread.start()
-    
+
     status_url = f"{scheme}://{host}/api/task/{task_id}"
-    
+
     logging.info(f"创建异步Sanjuuni任务: {task_id}")
     return jsonify({
         'status': 'success',
@@ -174,6 +185,53 @@ def sanjuuni_async_api():
         'message': '任务已创建，请使用状态URL查询进度'
     }), 202
 
+@app.route('/api/video_frame/async', methods=['POST'])
+def video_frame_async_api():
+    """创建异步视频帧提取任务"""
+    logging.info("收到异步视频帧提取API请求")
+    data = request.get_json()
+
+    # 检测参数类型
+    error_response, status_code = validate_request(data, "video_frame")
+    if error_response:
+        return error_response, status_code
+
+    # 生成任务ID
+    task_id = str(uuid.uuid4())[:8]
+
+    # 获取请求的主机信息用于构建URL
+    host = request.host
+    scheme = request.scheme
+
+    # 初始化任务状态
+    with task_lock:
+        task_registry[task_id] = {
+            'status': 'pending',
+            'type': 'video_frame',
+            'create_time': time.time(),
+            'logs': [],
+            'last_returned_index': 0,  # 记录最后返回的日志索引
+            'progress': 0
+        }
+
+    # 启动异步任务
+    thread = threading.Thread(
+        target=run_async_task,
+        args=(task_id, process_video_frame_extraction, data)
+    )
+    thread.daemon = True
+    thread.start()
+
+    status_url = f"{scheme}://{host}/api/task/{task_id}"
+
+    logging.info(f"创建异步视频帧提取任务: {task_id}")
+    return jsonify({
+        'status': 'success',
+        'task_id': task_id,
+        'status_url': status_url,
+        'message': '任务已创建，请使用状态URL查询进度'
+    }), 202
+
 @app.route('/api/task/<task_id>', methods=['GET'])
 def get_task_status(task_id):
     """查询任务状态和进度（自动返回新增日志）"""
@@ -307,6 +365,30 @@ def download_file_endpoint(file_id, filename):
         logging.error(f"下载文件时出错: {e}")
         return jsonify({'status': 'error', 'error': str(e)}), 500
 
+@app.route('/frames/<job_id>/<filename>', methods=['GET'])
+def serve_video_frames(job_id, filename):
+    """提供视频帧和音频文件访问"""
+    import os
+    from flask import send_from_directory
+    from video_frame_utils import FRAMES_ROOT
+
+    safe_job = os.path.basename(job_id)
+    safe_file = os.path.basename(filename)
+    dir_path = os.path.join(FRAMES_ROOT, safe_job)
+
+    if not os.path.isdir(dir_path):
+        return jsonify({"error": "文件不存在"}), 404
+
+    allowed = safe_file.endswith(('.png', '.dfpwm'))
+    if not allowed:
+        return jsonify({"error": "文件类型不支持"}), 400
+
+    try:
+        return send_from_directory(dir_path, safe_file)
+    except Exception as e:
+        logging.error(f"提供文件时出错: {e}")
+        return jsonify({"error": "文件访问失败"}), 500
+
 @app.route('/health', methods=['GET'])
 def health_check():
     """健康检查接口，直接返回 'ok'"""

requirements.txt

@@ -1,2 +1,3 @@
 Flask==3.1.0
 Requests==2.32.3
+yt-dlp

start_server.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+"""
+启动GMapiServer的启动脚本
+包含所有功能：FFmpeg处理、Sanjuuni处理、视频帧提取
+"""
+
+import os
+import sys
+import logging
+from main import app
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    handlers=[
+        logging.StreamHandler(sys.stdout),
+        logging.FileHandler('server.log')
+    ]
+)
+
+def main():
+    print("🚀 GMapiServer 启动中...")
+    print("=" * 50)
+    print("📋 可用功能:")
+    print("  • FFmpeg媒体处理 (同步/异步)")
+    print("  • Sanjuuni工具处理 (同步/异步)")
+    print("  • 视频帧提取 (异步,支持B站BV号)")
+    print()
+    print("🔧 配置信息:")
+    print(f"  端口: 5000")
+    print(f"  临时文件目录: temp_files/")
+    print(f"  视频帧目录: frames/")
+    print(f"  清理间隔: 1小时")
+    print()
+    print("🔗 API 端点:")
+    print("  同步接口:")
+    print("    POST /api/ffmpeg     - FFmpeg处理")
+    print("    POST /api/sanjuuni   - Sanjuuni处理")
+    print()
+    print("  异步接口:")
+    print("    POST /api/ffmpeg/async         - 异步FFmpeg处理")
+    print("    POST /api/sanjuuni/async       - 异步Sanjuuni处理")
+    print("    POST /api/video_frame/async    - 异步视频帧提取")
+    print("    GET  /api/task/<task_id>       - 查询异步任务状态")
+    print("    GET  /api/tasks                - 所有任务列表")
+    print()
+    print("  文件下载:")
+    print("    GET  /download/<file_id>/<filename> - 下载处理后的文件")
+    print("    GET  /frames/<job_id>/<filename>    - 下载视频帧/音频文件")
+    print()
+    print("  其他:")
+    print("    GET  /health       - 健康检查")
+    print("    GET  /api/tasks    - 任务列表(调试)")
+    print("=" * 50)
+    print()
+    print("🌐 服务器地址: http://0.0.0.0:5000")
+    print("🔄 自动清理机制已启用 - 临时文件将在2小时后自动删除")
+    print()
+
+    # 启动Flask应用
+    from file_cleanup import start_cleanup_thread
+    start_cleanup_thread()
+
+    app.run(host='0.0.0.0', port=5000, debug=False, threaded=True)
+
+if __name__ == '__main__':
+    main()

video_frame_utils.py

@@ -0,0 +1,394 @@
+import os
+import sys
+import uuid
+import subprocess
+import tempfile
+import threading
+import time
+from datetime import datetime, timedelta
+import json
+import glob
+import requests
+import logging
+from shared_utils import task_registry, file_registry, file_lock, task_lock, add_task_log
+
+# ======================
+# 配置
+# ======================
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+FRAMES_ROOT = os.path.abspath("./frames")
+TASK_TIMEOUT_HOURS = 1  # 任务过期时间（小时）
+
+# 确保frames目录存在
+os.makedirs(FRAMES_ROOT, exist_ok=True)
+
+if sys.platform.startswith('win'):
+    FFMPEG_PATH = os.path.join(BASE_DIR, 'lib', 'ffmpeg', 'bin', 'ffmpeg.exe')
+    FFPROBE_PATH = os.path.join(BASE_DIR, 'lib', 'ffmpeg', 'bin', 'ffprobe.exe')
+else:
+    FFMPEG_PATH = os.path.join(BASE_DIR, 'lib', 'ffmpeg', 'bin', 'ffmpeg')
+    FFPROBE_PATH = os.path.join(BASE_DIR, 'lib', 'ffmpeg', 'bin', 'ffprobe')
+
+def log_subprocess_output(pipe, task_id, task_registry, task_lock, prefix=""):
+    """从管道实时读取并记录日志"""
+    if not pipe:
+        return
+    try:
+        for line in iter(pipe.readline, ''):
+            if line:
+                clean_line = line.strip()
+                if clean_line and task_id and task_registry and task_lock:
+                    add_task_log(task_id, f"{prefix}{clean_line}", task_registry, task_lock)
+    except Exception as e:
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, f"[日志读取错误] {e}", task_registry, task_lock)
+    finally:
+        pipe.close()
+    
+# ======================
+# 任务处理函数
+# ======================
+
+def process_video_frame_extraction(data, file_registry, file_lock, task_id=None, task_registry=None, task_lock=None):
+    """处理视频帧提取任务"""
+    try:
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, "开始处理视频帧提取任务", task_registry, task_lock)
+
+        logging.info(f"开始处理视频帧提取任务: {task_id}")
+
+        # 提取参数
+        video_url = data.get('video_url')
+        video_bv = data.get('video_bv')  # 支持BV号
+        w = data.get('w')
+        h = data.get('h')
+        fps = data.get('fps', 30)
+        force_resolution = data.get('force_resolution', False)
+        pad_to_target = data.get('pad_to_target', False)
+
+        # 验证参数
+        if not video_url and not video_bv:
+            raise Exception("缺少必要参数: video_url 或 video_bv")
+        if w is None or h is None:
+            raise Exception("缺少必要参数: w, h")
+
+        try:
+            w = int(w)
+            h = int(h)
+            fps = float(fps)
+            if w <= 0 or h <= 0 or fps <= 0:
+                raise ValueError("参数必须为正数")
+        except (ValueError, TypeError) as e:
+            raise Exception(f"参数无效: {str(e)}")
+
+        # 如果提供了BV号，自动生成Bilibili URL
+        if not video_url and video_bv:
+            video_bv = str(video_bv).strip()
+            if not video_bv.startswith(('BV', 'bv')):
+                raise Exception("video_bv 必须以 BV 或 bv 开头")
+            video_url = f"https://www.bilibili.com/video/{video_bv.upper()}"
+
+        # 准备目录
+        job_dir = os.path.join(FRAMES_ROOT, task_id)
+        os.makedirs(job_dir, exist_ok=True)
+
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, f"创建任务目录: {job_dir}", task_registry, task_lock)
+            with task_lock:
+                if task_id in task_registry:
+                    task_registry[task_id]['progress'] = 10
+
+        # 下载视频
+        temp_base = os.path.join(tempfile.gettempdir(), task_id)
+
+        # === 替换 yt-dlp 下载部分 ===
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, f"开始下载视频: {video_url}", task_registry, task_lock)
+
+        yt_dlp_cmd = [
+            sys.executable, '-m', 'yt_dlp',
+            video_url,
+            '-o', temp_base,
+            '-f', 'bv*[height<=720]+ba/b',
+            '--no-warnings',
+            '--progress',  # 显式启用进度（可选）
+        ]
+
+        # 使用 Popen 实时捕获 stderr
+        proc = subprocess.Popen(
+            yt_dlp_cmd,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            bufsize=1,
+            universal_newlines=True
+        )
+
+        # 启动日志线程（只读 stderr，因为 yt-dlp 进度在 stderr）
+        stderr_thread = threading.Thread(
+            target=log_subprocess_output,
+            args=(proc.stderr, task_id, task_registry, task_lock, "[yt-dlp] "),
+            daemon=True
+        )
+        stderr_thread.start()
+
+        try:
+            proc.wait(timeout=600)
+            if proc.returncode != 0:
+                raise subprocess.CalledProcessError(proc.returncode, yt_dlp_cmd)
+        except subprocess.TimeoutExpired:
+            proc.kill()
+            raise Exception("yt-dlp 下载超时（超过10分钟）")
+        finally:
+            stderr_thread.join(timeout=5)  # 等待日志线程结束
+
+        # 查找实际生成的文件
+        candidates = glob.glob(temp_base + ".*")
+        if not candidates:
+            raise Exception("yt-dlp 执行成功但未生成任何视频文件")
+
+        # 按修改时间取最新
+        temp_video = max(candidates, key=os.path.getmtime)
+
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, "下载完成，开始获取视频信息", task_registry, task_lock)
+            with task_lock:
+                if task_id in task_registry:
+                    task_registry[task_id]['progress'] = 40
+
+        # 获取视频信息
+        duration = get_video_duration(temp_video)
+
+        # 构建滤镜
+        vf = build_video_filter(w, h, fps, force_resolution, pad_to_target)
+
+        # 提取帧
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, "开始提取视频帧", task_registry, task_lock)
+            with task_lock:
+                if task_id in task_registry:
+                    task_registry[task_id]['progress'] = 50
+
+        frame_pattern = os.path.join(job_dir, "frame_%06d.png")
+
+        ffmpeg_cmd = [
+            FFMPEG_PATH, '-y',
+            '-i', temp_video,
+            '-vf', vf,
+            '-pix_fmt', 'rgb24',
+            '-stats',          # 关键：启用进度统计
+            '-v', 'info',      # 确保输出级别足够
+            frame_pattern
+        ]
+
+        proc = subprocess.Popen(
+            ffmpeg_cmd,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            bufsize=1,
+            universal_newlines=True
+        )
+
+        # FFmpeg 的进度在 stderr
+        stderr_thread = threading.Thread(
+            target=log_subprocess_output,
+            args=(proc.stderr, task_id, task_registry, task_lock, "[FFmpeg] "),
+            daemon=True
+        )
+        stderr_thread.start()
+
+        try:
+            proc.wait()
+            if proc.returncode != 0:
+                raise subprocess.CalledProcessError(proc.returncode, ffmpeg_cmd)
+        finally:
+            stderr_thread.join(timeout=5)
+
+        # 获取输出分辨率
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, "分析输出结果", task_registry, task_lock)
+            with task_lock:
+                if task_id in task_registry:
+                    task_registry[task_id]['progress'] = 80
+
+        out_w, out_h = get_output_resolution(job_dir)
+        total_frames = len([f for f in os.listdir(job_dir) if f.endswith('.png')])
+
+        # 检查音频
+        audio_exists = has_audio(temp_video)
+
+        if audio_exists:
+            if task_id and task_registry and task_lock:
+                add_task_log(task_id, "提取音频（左/右/混合声道）", task_registry, task_lock)
+                with task_lock:
+                    if task_id in task_registry:
+                        task_registry[task_id]['progress'] = 90
+
+            # 公共参数
+            dfpwm_args = [
+                FFMPEG_PATH, '-y',
+                '-i', temp_video,
+                '-vn',
+                '-ar', '48000',
+                '-ac', '1',
+                '-f', 'dfpwm'
+            ]
+
+            # 混合声道
+            dfpwm_path_mix = os.path.join(job_dir, "audio.dfpwm")
+            subprocess.run(
+                dfpwm_args + [dfpwm_path_mix],
+                check=True, capture_output=True
+            )
+
+            # 左声道
+            dfpwm_path_left = os.path.join(job_dir, "audio_left.dfpwm")
+            subprocess.run(
+                dfpwm_args + ['-af', 'pan=mono|c0=c0'] + [dfpwm_path_left],
+                check=True, capture_output=True
+            )
+
+            # 右声道
+            dfpwm_path_right = os.path.join(job_dir, "audio_right.dfpwm")
+            subprocess.run(
+                dfpwm_args + ['-af', 'pan=mono|c0=c1'] + [dfpwm_path_right],
+                check=True, capture_output=True
+            )
+
+        # 生成结果
+        result_data = {
+            "duration_seconds": round(duration, 3),
+            "total_frames": total_frames,
+            "fps": fps,
+            "output_resolution": {"w": out_w, "h": out_h},
+            "frame_urls": [f"/frames/{task_id}/frame_{i:06d}.png" for i in range(1, total_frames + 1)],
+            "audio_dfpwm_url": f"/frames/{task_id}/audio.dfpwm" if has_audio else None,
+            "audio_dfpwm_left_url": f"/frames/{task_id}/audio_left.dfpwm" if has_audio else None,
+            "audio_dfpwm_right_url": f"/frames/{task_id}/audio_right.dfpwm" if has_audio else None
+        }
+
+        # 注册文件到文件注册表
+        with file_lock:
+            for frame_file in glob.glob(os.path.join(job_dir, "frame_*.png")):
+                filename = os.path.basename(frame_file)
+                file_id = f"frame_{task_id}_{filename}"
+                file_registry[file_id] = {
+                    'path': os.path.abspath(frame_file),
+                    'filename': filename,
+                    'last_access': time.time(),
+                    'download_count': 0
+                }
+
+            if audio_exists:
+                for audio_file in ["audio.dfpwm", "audio_left.dfpwm", "audio_right.dfpwm"]:
+                    audio_path = os.path.join(job_dir, audio_file)
+                    if os.path.exists(audio_path):
+                        file_id = f"audio_{task_id}_{audio_file}"
+                        file_registry[file_id] = {
+                            'path': os.path.abspath(audio_path),
+                            'filename': audio_file,
+                            'last_access': time.time(),
+                            'download_count': 0
+                        }
+
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, "视频帧提取任务完成", task_registry, task_lock)
+            with task_lock:
+                if task_id in task_registry:
+                    task_registry[task_id]['progress'] = 100
+
+        return {
+            'status': 'success',
+            'result': result_data,
+            'task_id': task_id,
+            'temp_dir': job_dir
+        }
+
+    except subprocess.CalledProcessError as e:
+        stderr_str = e.stderr.strip() if e.stderr else ""
+        stdout_str = e.stdout.strip() if e.stdout else ""
+        error_output = stderr_str or stdout_str or str(e)
+        error_msg = error_output[-500:] if len(error_output) > 500 else error_output
+
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, f"FFmpeg处理失败: {error_msg}", task_registry, task_lock)
+
+        return {'error': f'FFmpeg处理失败: {error_msg}'}
+    except requests.RequestException as e:
+        error_msg = f'视频下载失败: {str(e)}'
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, error_msg, task_registry, task_lock)
+        return {'error': error_msg}
+    except Exception as e:
+        error_msg = f'处理失败: {str(e)}'
+        if task_id and task_registry and task_lock:
+            add_task_log(task_id, error_msg, task_registry, task_lock)
+        return {'error': error_msg}
+    finally:
+        # 清理临时视频文件
+        for f in glob.glob(os.path.join(tempfile.gettempdir(), f"{task_id}.*")):
+            try:
+                os.remove(f)
+            except:
+                pass
+
+# ======================
+# 辅助函数
+# ======================
+
+def get_video_duration(video_path):
+    """获取视频时长"""
+    result = subprocess.run([
+        FFPROBE_PATH, '-v', 'error',
+        '-show_entries', 'format=duration',
+        '-of', 'csv=p=0',
+        video_path
+    ], capture_output=True, text=True, check=True)
+
+    duration_str = result.stdout.strip()
+    return float(duration_str) if duration_str and duration_str != 'N/A' else 0.0
+
+def build_video_filter(w, h, fps, force_resolution, pad_to_target):
+    """构建视频滤镜"""
+    if force_resolution:
+        return f"scale={w}:{h},fps={fps}"
+    else:
+        scale_expr = f"scale='min({w},iw*min(1,{h}/ih))':'min({h},ih*min(1,{w}/iw))'"
+        if pad_to_target:
+            return f"{scale_expr},pad={w}:{h}:(ow-iw)/2:(oh-ih)/2,fps={fps}"
+        else:
+            return f"{scale_expr},fps={fps}"
+
+def get_output_resolution(job_dir):
+    """获取输出分辨率"""
+    first_frame = None
+    for f in sorted(os.listdir(job_dir)):
+        if f.endswith('.png'):
+            first_frame = os.path.join(job_dir, f)
+            break
+
+    if first_frame:
+        probe_res = subprocess.run([
+            FFPROBE_PATH, '-v', 'error',
+            '-select_streams', 'v:0',
+            '-show_entries', 'stream=width,height',
+            '-of', 'csv=p=0',
+            first_frame
+        ], capture_output=True, text=True, check=True)
+
+        out_w, out_h = map(int, probe_res.stdout.strip().split(','))
+        return out_w, out_h
+
+    return 0, 0
+
+def has_audio(video_path):
+    """检查视频是否有音频"""
+    probe_streams = subprocess.run([
+        FFPROBE_PATH, '-v', 'error',
+        '-show_entries', 'stream=codec_type',
+        '-of', 'csv=p=0',
+        video_path
+    ], capture_output=True, text=True)
+
+    return 'audio' in probe_streams.stdout.lower()