test_output.log

============================= test session starts =============================
platform win32 -- Python 3.11.0, pytest-9.0.2, pluggy-1.6.0 -- G:\全球化内容供应商\venv\Scripts\python.exe
cachedir: .pytest_cache
rootdir: G:\全球化内容供应商
configfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)
plugins: anyio-4.12.1, hydra-core-1.3.2, asyncio-1.3.0, cov-4.1.0, typeguard-4.4.4
asyncio: mode=Mode.AUTO, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collecting ... collected 9 items

.\venv\Scripts\python.exe : 2026-02-04 00:08:29 | INFO     | src/utils/logger.py:156 - 日志系统初始化完成 - 级别: DEBUG, 路径: G:\全球化内容供应商\logs
所在位置 行:1 字符: 1
+ .\venv\Scripts\python.exe -m pytest tests/unit/pipeline/test_advanced ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : NotSpecified: (2026-02-04...化内容供应商\logs:String) [], RemoteException
    + FullyQualifiedErrorId : NativeCommandError
 
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 5% - 准备视频切片...
2026-02-04 00:08:42 | INFO     | src/Pipeline/steps/video_slicing_step.py:127 - 视频切片: data\test_videos\test_video_zh.mp4
2026-02-04 00:08:42 | INFO     | src/Pipeline/steps/video_slicing_step.py:128 - 片段数: 3
2026-02-04 00:08:42 | INFO     | src/Pipeline/steps/video_slicing_step.py:129 - 参数: padding=0.05s, min_duration=0.3s
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 10% - 获取视频信息...
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 15% - 拆分子任务...
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/steps/video_slicing_step.py:299 - 添加后置静默段: 8.00s - 17.33s
2026-02-04 00:08:42 | INFO     | src/Pipeline/steps/video_slicing_step.py:304 - 切片任务统计: 语音片段=3, 静默片段=1, 总计=4
2026-02-04 00:08:42 | INFO     | src/Pipeline/steps/video_slicing_step.py:156 - \U0001f4cb 共 4 个切片子任务
2026-02-04 00:08:42 | INFO     | src/Pipeline/core/concurrent_step.py:264 - \U0001f4cb 发送子任务列表: 4 个子任务
2026-02-04 00:08:42 | INFO     | src/Pipeline/core/concurrent_step.py:315 - \u2705 子任务列表已发送: 4 个
2026-02-04 00:08:42 | INFO     | src/Pipeline/core/concurrent_step.py:574 - \U0001f680 无限制并发: 4 个任务同时执行
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [0] seg_d62e1167 → running
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_d62e1167 → running
2026-02-04 00:08:42 | INFO     | src/utils/ffmpeg_utils.py:119 - \u2705 FFmpeg NVIDIA GPU 加速可用 (nvenc + cuvid)
2026-02-04 00:08:42 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [video_slice] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_bu
ild\bin\ffmpeg.exe -hwaccel cuda -hwaccel_device 0 -ss 0.000000 -i data\test_videos\test_video_zh.mp4 -t 2.550000 -c:v h264_nvenc -preset p4...
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/hardware_monitor.py:181 - \U0001f527 NVML初始化成功: 检测到 2 个GPU
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/resource_profiler.py:568 - \U0001f4c2 加载资源画像: 77 个
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/resource_profiler.py:243 - \U0001f4ca 资源画像收集器初始化: 已缓存 77 个画像
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/task_queue.py:69 - \U0001f4cb 任务队列V3初始化完成
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:158 - \U0001f52e 任务预加载器初始化: 最大预加载数=16, 内存阈值=90.0%, 动态槽位=True
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/round_allocator.py:181 - \U0001f3af 轮次分配器初始化: 2 GPU, 观察期=3.0s, 批量大小=8
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/scheduler.py:219 - GpuSchedulerV3 初始化完成
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/scheduler.py:247 - 启动GPU调度器V3...
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/hardware_monitor.py:229 - \U0001f50d 硬件监控线程已启动
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/status_emitter.py:130 - \U0001f4e1 状态发射器已启动: 间隔=100ms
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/scheduler.py:289 - GPU调度器V3已启动，2个GPU工作线程就绪
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/scheduler.py:437 - 调度循环启动
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: video_slice_92f31265
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: video_slice_92f31265 (video_slice)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: video_slice_92f31265 (模型: video_slice)
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [1] seg_8ad85563 → running
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: video_slice_92f31265 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_8ad85563 → running
2026-02-04 00:08:42 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [video_slice] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_bu
ild\bin\ffmpeg.exe -hwaccel cuda -hwaccel_device 0 -ss 2.450000 -i data\test_videos\test_video_zh.mp4 -t 2.600000 -c:v h264_nvenc -preset p4...
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: video_slice_d5c8f629
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: video_slice_d5c8f629 (video_slice)
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [2] seg_eaafe45a → running
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_eaafe45a → running
2026-02-04 00:08:42 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [video_slice] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_bu
ild\bin\ffmpeg.exe -hwaccel cuda -hwaccel_device 0 -ss 4.950000 -i data\test_videos\test_video_zh.mp4 -t 3.100000 -c:v h264_nvenc -preset p4...
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: video_slice_82ca1258
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: video_slice_82ca1258 (video_slice)
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [3] seg_7ebb154a → running
2026-02-04 00:08:42 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_7ebb154a → running
2026-02-04 00:08:42 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [video_slice] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_bu
ild\bin\ffmpeg.exe -hwaccel cuda -hwaccel_device 0 -ss 8.000000 -i data\test_videos\test_video_zh.mp4 -t 9.328005 -c:v h264_nvenc -preset p4...
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: video_slice_2e90a98f
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: video_slice_2e90a98f (video_slice)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: video_slice_d5c8f629 (模型: video_slice)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: video_slice_82ca1258 (模型: video_slice)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #1: 1 个任务, 总显存 3072MB
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: video_slice_82ca1258 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: video_slice_d5c8f629 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: video_slice_2e90a98f (模型: video_slice)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 video_slice_92f31265 → GPU 0
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: video_slice_2e90a98f (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: video_slice_92f31265 → GPU 0
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: video_slice_92f31265 → GPU 0 (显存增量: 0MB, 耗时: 1.0ms)
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_92f31265 (was_preloading=False, was_cached=True, 剩余
预加载中: [], 剩余缓存: ['video_slice_d5c8f629', 'video_slice_82ca1258', 'video_slice_2e90a98f'])
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #2: 3 个任务, 总显存 9216MB
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 video_slice_d5c8f629 → GPU 1
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: video_slice_d5c8f629 → GPU 1
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 video_slice_82ca1258 → GPU 0
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: video_slice_d5c8f629 → GPU 1 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_d5c8f629 (was_preloading=False, was_cached=True, 剩余
预加载中: [], 剩余缓存: ['video_slice_82ca1258', 'video_slice_2e90a98f'])
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 video_slice_2e90a98f → GPU 1
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: video_slice_82ca1258 → GPU 0
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: video_slice_82ca1258 → GPU 0 (显存增量: 0MB, 耗时: 1.0ms)
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: video_slice_2e90a98f → GPU 1
2026-02-04 00:08:42 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: video_slice_2e90a98f → GPU 1 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:42 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_82ca1258 (was_preloading=False, was_cached=True, 剩余
预加载中: [], 剩余缓存: ['video_slice_2e90a98f'])
2026-02-04 00:08:43 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_2e90a98f (was_preloading=False, was_cached=True, 剩余
预加载中: [], 剩余缓存: [])
2026-02-04 00:08:43 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -hwaccel cuda -hwaccel_device 0 -ss 4.950000 -i data\test_videos\test_video_zh.mp4 -t...
2026-02-04 00:08:43 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -hwaccel cuda -hwaccel_device 0 -ss 0.000000 -i data\test_videos\test_video_zh.mp4 -t...
2026-02-04 00:08:43 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -hwaccel cuda -hwaccel_device 0 -ss 2.450000 -i data\test_videos\test_video_zh.mp4 -t...
2026-02-04 00:08:43 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -hwaccel cuda -hwaccel_device 0 -ss 8.000000 -i data\test_videos\test_video_zh.mp4 -t...
2026-02-04 00:08:43 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: video_slice_92f31265 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB
2026-02-04 00:08:43 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [video_slice] 执行完成
2026-02-04 00:08:43 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: video_slice_92f31265 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:43 | INFO     | src/utils/ffmpeg_utils.py:571 - 成功提取视频片段: MagicMock\mock.config.output_dir\2817038744784\intermediate\video_slicing\slices\
slice_0000.mp4
2026-02-04 00:08:43 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 6144MB -> 3072MB (delta=-3072MB)
2026-02-04 00:08:43 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [0] seg_d62e1167 → completed
2026-02-04 00:08:43 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: video_slice_92f31265 @ GPU 0, 释放 2048MB (记录=3072MB, 分配: 30
72MB -> 1024MB)
2026-02-04 00:08:43 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_92f31265 (was_preloading=False, was_cached=False, 剩
余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: video_slice_d5c8f629 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: video_slice_82ca1258 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: video_slice_92f31265, 耗时 782.3ms
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: video_slice_d5c8f629 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: video_slice_82ca1258 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_d62e1167 → completed
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 1 分配记录: 6144MB -> 3072MB (delta=-3072MB)
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 37% - 已处理 1/4 个子任务
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 1024MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: video_slice_d5c8f629 @ GPU 1, 释放 2048MB (记录=3072MB, 分配: 30
72MB -> 1024MB)
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: video_slice_82ca1258 @ GPU 0, 释放 2048MB (记录=3072MB, 分配: 0M
B -> 0MB)
2026-02-04 00:08:44 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [video_slice] 执行完成
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_d5c8f629 (was_preloading=False, was_cached=False, 剩
余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:44 | INFO     | src/utils/ffmpeg_utils.py:571 - 成功提取视频片段: MagicMock\mock.config.output_dir\2817038744784\intermediate\video_slicing\slices\
slice_0001.mp4
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_82ca1258 (was_preloading=False, was_cached=False, 剩
余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [1] seg_8ad85563 → completed
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 1 的CUDA缓存
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: video_slice_2e90a98f 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: video_slice_d5c8f629, 耗时 991.6ms
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: video_slice_2e90a98f 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: video_slice_82ca1258, 耗时 990.9ms
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 1 分配记录: 1024MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_8ad85563 → completed
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: video_slice_2e90a98f @ GPU 1, 释放 2048MB (记录=3072MB, 分配: 0M
B -> 0MB)
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 55% - 已处理 2/4 个子任务
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: video_slice_2e90a98f (was_preloading=False, was_cached=False, 剩
余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 1 的CUDA缓存
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: video_slice_2e90a98f, 耗时 998.8ms
2026-02-04 00:08:44 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [video_slice] 执行完成
2026-02-04 00:08:44 | INFO     | src/utils/ffmpeg_utils.py:571 - 成功提取视频片段: MagicMock\mock.config.output_dir\2817038744784\intermediate\video_slicing\slices\
slice_0002.mp4
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [2] seg_eaafe45a → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_eaafe45a → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 72% - 已处理 3/4 个子任务
2026-02-04 00:08:44 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [video_slice] 执行完成
2026-02-04 00:08:44 | INFO     | src/utils/ffmpeg_utils.py:571 - 成功提取视频片段: MagicMock\mock.config.output_dir\2817038744784\intermediate\video_slicing\slices\
slice_0003.mp4
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [3] seg_7ebb154a → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_7ebb154a → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 90% - 已处理 4/4 个子任务
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 92% - 汇总结果...
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/video_slicing_step.py:441 - 视频切片完成: 4/4 成功
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_slicing - 100% - 视频切片完成
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoSlicingStep::test_video_slicing_with_real_video PASSED
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/scheduler.py:518 - \U0001f9f9 队列已清空，开始清理GPU缓存...
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:1166 - GPU内存已清理
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/scheduler.py:531 - \u2705 GPU缓存已全部清理
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: time_remap_plan - 5% - 准备时间重映射分析...
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:122 - 时间重映射分析: 2 个视频切片, 2 个TTS片段
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:123 - 配置: max_ratio=1.5, protect_face=False
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:128 - 样本切片数据: index=0, original_duration=2.5, slice_path=data\test_videos\test_v
ideo_zh.mp4
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:131 - 样本TTS数据: id=0, duration=3.0, audio_path=C:\Users\Hurca\AppData\Local\Temp\
pytest-of-Hurca\pytest-241\test_time_remap_plan_calculati0\tts_0.wav
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: time_remap_plan - 10% - 拆分分析任务...
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:194 - TTS task_id 映射: []... (共 0 个)
2026-02-04 00:08:44 | WARNING  | src/Pipeline/steps/time_remap_plan_step.py:230 - 片段 index=0, task_id=None 没有对应的 TTS 数据，使用原始时长
2026-02-04 00:08:44 | WARNING  | src/Pipeline/steps/time_remap_plan_step.py:230 - 片段 index=1, task_id=None 没有对应的 TTS 数据，使用原始时长
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:155 - \U0001f4cb 共 2 个分析子任务
2026-02-04 00:08:44 | INFO     | src/Pipeline/core/concurrent_step.py:264 - \U0001f4cb 发送子任务列表: 2 个子任务
2026-02-04 00:08:44 | INFO     | src/Pipeline/core/concurrent_step.py:315 - \u2705 子任务列表已发送: 2 个
2026-02-04 00:08:44 | INFO     | src/Pipeline/core/concurrent_step.py:572 - \U0001f512 并发限制: 4
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [0] None → running
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: None → running
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/steps/time_remap_plan_step.py:404 - 片段 0: keep | 2.50s → 2.50s | 帧差: +0
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [0] None → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: None → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: time_remap_plan - 50% - 已处理 1/2 个子任务[0
m
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [1] None → running
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: None → running
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/steps/time_remap_plan_step.py:404 - 片段 1: keep | 2.50s → 2.50s | 帧差: +0
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [1] None → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: None → completed
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: time_remap_plan - 85% - 已处理 2/2 个子任务[0
m
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: time_remap_plan - 90% - 汇总重映射计划...
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:597 - 重映射计划完成: 2/2 成功 | 插帧: 0 | 抽帧: 0
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/time_remap_plan_step.py:601 - 策略分布: {'keep': 2, 'interpolate': 0, 'decimate': 0}
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: time_remap_plan - 100% - 时间重映射计划完成
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestTimeRemapPlanStep::test_time_remap_plan_calculation PASSED
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: frame_interpolation - 5% - 准备智能插帧...[0
m
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/frame_interpolation_step.py:125 - 智能插帧: 1 视频片段, 1 重映射计划
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/frame_interpolation_step.py:126 - 模型: rife, 质量: medium
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: frame_interpolation - 10% - 拆分插帧任务...[
0m
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/steps/frame_interpolation_step.py:186 - 重映射计划 segment_id 映射: ['seg_b3b2f5cb']... (共 1 个)
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/frame_interpolation_step.py:146 - \U0001f4cb 共 1 个插帧子任务
2026-02-04 00:08:44 | INFO     | src/Pipeline/core/concurrent_step.py:264 - \U0001f4cb 发送子任务列表: 1 个子任务
2026-02-04 00:08:44 | INFO     | src/Pipeline/core/concurrent_step.py:315 - \u2705 子任务列表已发送: 1 个
2026-02-04 00:08:44 | INFO     | src/Pipeline/core/concurrent_step.py:572 - \U0001f512 并发限制: 4
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [0] seg_b3b2f5cb → running
2026-02-04 00:08:44 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_b3b2f5cb → running
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/frame_interpolation_step.py:53 - RIFE V3 服务已加载
2026-02-04 00:08:44 | INFO     | src/Pipeline/steps/frame_interpolation_step.py:450 - RIFE AI 插帧: 2.50s -> 3.00s
2026-02-04 00:08:44 | WARNING  | src/Pipeline/steps/frame_interpolation_step.py:459 - RIFE 帧级插值尚未完全实现，使用 FFmpeg 时间拉伸
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: ffmpeg_time_stretch_ed7bbca0
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: ffmpeg_time_stretch_ed7bbca0 (ffmpeg_time_stretch)
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: ffmpeg_time_stretch_ed7bbca0 (模型: ffmpeg_time_stretch)
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: ffmpeg_time_stretch_ed7bbca0 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #3: 1 个任务, 总显存 0MB
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 ffmpeg_time_stretch_ed7bbca0 → GPU 0
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: ffmpeg_time_stretch_ed7bbca0 → GPU 0
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: ffmpeg_time_stretch_ed7bbca0 → GPU 0 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:44 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: ffmpeg_time_stretch_ed7bbca0 (was_preloading=False, was_cached=
True, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:44 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -y -i data\test_videos\test_video_zh.mp4 -filter:v setpts=1.2*PTS -an MagicMock\mock.config.output_dir\2817039197008\intermediate\frame_interpolation\remapped\remapped_0000.mp4...
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: ffmpeg_time_stretch_ed7bbca0 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB

2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: ffmpeg_time_stretch_ed7bbca0 @ GPU 0, 释放 2048MB (记录=0MB, 分
配: 0MB -> 0MB)
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: ffmpeg_time_stretch_ed7bbca0 (was_preloading=False, was_cached=
False, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: ffmpeg_time_stretch_ed7bbca0, 耗时 525.3ms
2026-02-04 00:08:45 | WARNING  | src/Pipeline/steps/frame_interpolation_step.py:327 - 片段 0: 时长误差 588.9% (目标: 3.00s, 实际: 20.67s)
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/frame_interpolation_step.py:332 - 片段 0: interpolate | rife | 时长: 2.50s → 20.67s (目标: 3.00s)[0
m
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/concurrent_step.py:391 - \U0001f4cb 子任务状态更新: [0] seg_b3b2f5cb → completed
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/concurrent_step.py:437 - \u2705 子任务状态信号已发送: seg_b3b2f5cb → completed
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: frame_interpolation - 90% - 已处理 1/1 个子任
务
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: frame_interpolation - 92% - 汇总结果...
2026-02-04 00:08:45 | INFO     | src/Pipeline/steps/frame_interpolation_step.py:540 - 插帧完成: 1/1 成功 | 插入: 0 | 删除: 0
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: frame_interpolation - 100% - 智能插帧完成
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestFrameInterpolationStep::test_frame_interpolation_fallback PASSED
2026-02-04 00:08:45 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [create_silence_tts_0] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-esse
ntials_build\bin\ffmpeg.exe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 3.0 -c:a pcm_s16le -ar 44100 -ac 2 -y C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test
_lip_sync_fallback0\tts\tts_0.wav...
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: create_silence_tts_0_8550e876
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: create_silence_tts_0_8550e876 (create_silence_tts_0)
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: create_silence_tts_0_8550e876 (模型: create_silence_tts_0)
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: create_silence_tts_0_8550e876 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #4: 1 个任务, 总显存 3072MB
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 create_silence_tts_0_8550e876 → GPU 0
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: create_silence_tts_0_8550e876 → GPU 0
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: create_silence_tts_0_8550e876 → GPU 0 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_tts_0_8550e876 (was_preloading=False, was_cached
=True, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 3.0 -c:a pcm_s16le -ar...
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: create_silence_tts_0_8550e876 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0M
B
2026-02-04 00:08:45 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [create_silence_tts_0] 执行完成
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: create_silence_tts_0_8550e876 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:45 | DEBUG    | src/utils/ffmpeg_utils.py:792 - 创建静音音频: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_lip_syn
c_fallback0\tts\tts_0.wav (3.0s)
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: create_silence_tts_0_8550e876 @ GPU 0, 释放 2048MB (记录=3072M
B, 分配: 0MB -> 0MB)
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: lip_sync - 5% - 准备嘴型驱动...
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_tts_0_8550e876 (was_preloading=False, was_cached
=False, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: create_silence_tts_0_8550e876, 耗时 22.0ms
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/lip_sync_step.py:91 - interpolation_data keys: ['remapped_videos', 'remapped_dir']
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/lip_sync_step.py:92 - tts_data keys: ['tts_segments']
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/lip_sync_step.py:102 - remapped_videos 类型: <class 'list'>, 长度: 1
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/lip_sync_step.py:104 - remapped_videos[0] 示例: {'index': 0, 'segment_id': 0, 'video_path': 'dat
a\\test_videos\\test_video_zh.mp4', 'duration': 3.0}
2026-02-04 00:08:45 | INFO     | src/Pipeline/steps/lip_sync_step.py:115 - 嘴型驱动: 1 视频片段, 1 TTS片段
2026-02-04 00:08:45 | INFO     | src/Pipeline/steps/lip_sync_step.py:116 - 模型: wav2lip, 面部增强: False
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: lip_sync - 10% - 拆分嘴型驱动任务...
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/lip_sync_step.py:173 - TTS segment_id 映射: ['seg_b3b2f5cb']... (共 1 个)
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/lip_sync_step.py:180 - 输入数据: 共 1 个视频片段
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/steps/lip_sync_step.py:200 - 跳过片段 0: video_path=None, success=None, keys=['index', 'segment_id', 'vi
deo_path', 'duration']
2026-02-04 00:08:45 | INFO     | src/Pipeline/steps/lip_sync_step.py:282 - 子任务拆分完成: 输入 1 → 跳过 1 → 静默 0 + 无TTS 0 + 有效 0 = 总计 0
2026-02-04 00:08:45 | WARNING  | src/Pipeline/steps/lip_sync_step.py:127 - 没有子任务需要处理
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: lip_sync - 100% - 无需处理
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestLipSyncStep::test_lip_sync_fallback PASSED
2026-02-04 00:08:45 | INFO     | src/GpuScheduler/scheduler.py:518 - \U0001f9f9 队列已清空，开始清理GPU缓存...
2026-02-04 00:08:45 | DEBUG    | src/GpuScheduler/scheduler.py:1166 - GPU内存已清理
2026-02-04 00:08:45 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_concat - 5% - 准备视频拼接...
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/scheduler.py:531 - \u2705 GPU缓存已全部清理
2026-02-04 00:08:46 | INFO     | src/Pipeline/steps/video_concat_step.py:107 - 视频拼接: 从 lip_sync 获取 1 个片段
2026-02-04 00:08:46 | INFO     | src/Pipeline/steps/video_concat_step.py:124 - 有效片段: 1 / 1
2026-02-04 00:08:46 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_concat - 15% - 创建拼接列表...
2026-02-04 00:08:46 | DEBUG    | src/Pipeline/steps/video_concat_step.py:260 - 创建 concat 列表: MagicMock\mock.config.output_dir\2817014319952\interm
ediate\video_concat\concat_list.txt, 1 个文件
2026-02-04 00:08:46 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_concat - 25% - 拼接 1 个视频片段...
2026-02-04 00:08:46 | INFO     | src/Pipeline/steps/video_concat_step.py:282 - 执行视频拼接: 1 个文件
2026-02-04 00:08:46 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [concat_video_concatenated_video] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg
-8.0.1-essentials_build\bin\ffmpeg.exe -f concat -safe 0 -i C:\Users\Hurca\AppData\Local\Temp\tmp98i3nj3q.txt -c:v h264_nvenc -preset p4 -cq 18 -c:a aac...
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: concat_video_concatenated_video_24a4821b
2026-02-04 00:08:46 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: concat_video_concatenated_video_24a4821b (concat_video_concatenated_vi
deo)
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: concat_video_concatenated_video_24a4821b (模型: concat_video_conca
tenated_video)
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: concat_video_concatenated_video_24a4821b (内存增量: 0MB, 数据占用: 0MB, 耗时: 
0.0ms)
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #5: 1 个任务, 总显存 3072MB
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 concat_video_concatenated_video_24a4821b → GPU 0
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: concat_video_concatenated_video_24a4821b → GPU 0
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: concat_video_concatenated_video_24a4821b → GPU 0 (显存增量: 0MB, 耗时: 0
.0ms)
2026-02-04 00:08:46 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: concat_video_concatenated_video_24a4821b (was_preloading=False,
 was_cached=True, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:46 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -f concat -safe 0 -i C:\Users\Hurca\AppData\Local\Temp\tmp98i3nj3q.txt -c:v h264_nvenc -gpu...
2026-02-04 00:08:46 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [concat_video_concatenated_video] 执行完成
2026-02-04 00:08:46 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: concat_video_concatenated_video_24a4821b 基线=0MB, 峰值=0MB, 执行后
=0MB, 增量=0MB
2026-02-04 00:08:46 | INFO     | src/utils/ffmpeg_utils.py:1062 - video拼接完成: MagicMock\mock.config.output_dir\2817014319952\intermediate\video_concat\concat
enated_video.mp4 (1 个片段)
2026-02-04 00:08:46 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: concat_video_concatenated_video_24a4821b 原分配=3072MB, 实际使用=
0MB
2026-02-04 00:08:46 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:46 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_concat - 85% - 验证输出...
2026-02-04 00:08:46 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: concat_video_concatenated_video_24a4821b @ GPU 0, 释放 2048M
B (记录=3072MB, 分配: 0MB -> 0MB)
2026-02-04 00:08:46 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: concat_video_concatenated_video_24a4821b (was_preloading=False,
 was_cached=False, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: concat_video_concatenated_video_24a4821b, 耗时 637.8ms
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:518 - \U0001f9f9 队列已清空，开始清理GPU缓存...
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:1166 - GPU内存已清理
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:531 - \u2705 GPU缓存已全部清理
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/video_concat_step.py:166 - 视频拼接完成: MagicMock\mock.config.output_dir\2817014319952\intermediate\video_con
cat\concatenated_video.mp4
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/video_concat_step.py:167 -   片段数: 1
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/video_concat_step.py:168 -   总时长: 0.00s
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/video_concat_step.py:169 -   文件大小: 795.1 KB
2026-02-04 00:08:47 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_concat - 100% - 视频拼接完成
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoConcatStep::test_video_concat PASSED
2026-02-04 00:08:47 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [create_silence_tts_full] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-e
ssentials_build\bin\ffmpeg.exe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 5.0 -c:a pcm_s16le -ar 44100 -ac 2 -y C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\t
est_audio_mixing0\tts\tts_full.wav...
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: create_silence_tts_full_11562d0b
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: create_silence_tts_full_11562d0b (create_silence_tts_full)
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: create_silence_tts_full_11562d0b (模型: create_silence_tts_full)[
0m
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: create_silence_tts_full_11562d0b (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)[
0m
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #6: 1 个任务, 总显存 3072MB
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 create_silence_tts_full_11562d0b → GPU 0
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: create_silence_tts_full_11562d0b → GPU 0
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: create_silence_tts_full_11562d0b → GPU 0 (显存增量: 0MB, 耗时: 0.0ms)[0
m
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_tts_full_11562d0b (was_preloading=False, was_cac
hed=True, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 5.0 -c:a pcm_s16le -ar...
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: create_silence_tts_full_11562d0b 基线=0MB, 峰值=0MB, 执行后=0MB, 增量
=0MB
2026-02-04 00:08:47 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [create_silence_tts_full] 执行完成
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: create_silence_tts_full_11562d0b 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:47 | DEBUG    | src/utils/ffmpeg_utils.py:792 - 创建静音音频: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_audio_m
ixing0\tts\tts_full.wav (5.0s)
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:47 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [extract_audio_bgm] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essenti
als_build\bin\ffmpeg.exe -ss 0.000000 -i data\test_videos\test_video_zh.mp4 -t 5.000000 -c:a pcm_s16le -ar 44100 -ac 2 -avoid_negative_ts make_zero...
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: extract_audio_bgm_99405046
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: create_silence_tts_full_11562d0b @ GPU 0, 释放 2048MB (记录=30
72MB, 分配: 0MB -> 0MB)
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: extract_audio_bgm_99405046 (extract_audio_bgm)
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_tts_full_11562d0b (was_preloading=False, was_cac
hed=False, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: extract_audio_bgm_99405046 (模型: extract_audio_bgm)
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: extract_audio_bgm_99405046 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: create_silence_tts_full_11562d0b, 耗时 22.7ms
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #7: 1 个任务, 总显存 3072MB
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 extract_audio_bgm_99405046 → GPU 0
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: extract_audio_bgm_99405046 → GPU 0
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: extract_audio_bgm_99405046 → GPU 0 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: extract_audio_bgm_99405046 (was_preloading=False, was_cached=Tr
ue, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -ss 0.000000 -i data\test_videos\test_video_zh.mp4 -t 5.000000 -c:a pcm_s16le -ar...
2026-02-04 00:08:47 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [extract_audio_bgm] 执行完成
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: extract_audio_bgm_99405046 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB[
0m
2026-02-04 00:08:47 | INFO     | src/utils/ffmpeg_utils.py:625 - 成功提取音频片段: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_audio_mixing0\b
gm\bgm.wav
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: extract_audio_bgm_99405046 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:47 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: audio_mixing - 5% - 准备音频混合...
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: extract_audio_bgm_99405046 @ GPU 0, 释放 2048MB (记录=3072MB, 
分配: 0MB -> 0MB)
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: extract_audio_bgm_99405046 (was_preloading=False, was_cached=Fa
lse, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/audio_mixing_step.py:141 - 使用简单模式：原始 ASR 时间戳
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: extract_audio_bgm_99405046, 耗时 28.4ms
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/audio_mixing_step.py:152 - 音频混合: 1 个TTS片段
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/audio_mixing_step.py:153 - 背景音乐: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_audio
_mixing0\bgm\bgm.wav
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/audio_mixing_step.py:154 - 音量配置: BGM=0.2, 人声=1.0
2026-02-04 00:08:47 | INFO     | src/Pipeline/steps/audio_mixing_step.py:155 - 总时长: 0.00s (模式: simple)
2026-02-04 00:08:47 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: audio_mixing - 15% - 处理TTS音频片段...
2026-02-04 00:08:47 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [create_silence] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials
_build\bin\ffmpeg.exe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 0 -c:a pcm_s16le -ar 44100 -ac 2 -y MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\
tts_track.wav...
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: create_silence_76ab4962
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: create_silence_76ab4962 (create_silence)
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: create_silence_76ab4962 (模型: create_silence)
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: create_silence_76ab4962 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #8: 1 个任务, 总显存 3072MB
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 create_silence_76ab4962 → GPU 0
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: create_silence_76ab4962 → GPU 0
2026-02-04 00:08:47 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: create_silence_76ab4962 → GPU 0 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:47 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_76ab4962 (was_preloading=False, was_cached=True,
 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 0 -c:a pcm_s16le -ar...
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [create_silence] 执行完成
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: create_silence_76ab4962 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:792 - 创建静音音频: MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\
tts_track.wav (0s)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: create_silence_76ab4962 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [overlay_tts] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_bu
ild\bin\ffmpeg.exe -i MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\tts_track.wav -i C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_audio_mixing0\tts
\tts_full.wav -filter_complex [1:a]adelay=0|0[delayed];[0:a][delayed]amix=inputs=2:duration=first:dropout_transition=0[out] -map [out] -c:a pcm_s16le -ar 44100 -ac 2...
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: create_silence_76ab4962 @ GPU 0, 释放 2048MB (记录=3072MB, 分配:
 0MB -> 0MB)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: overlay_tts_e4012fd9
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_76ab4962 (was_preloading=False, was_cached=False
, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: overlay_tts_e4012fd9 (overlay_tts)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: overlay_tts_e4012fd9 (模型: overlay_tts)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: overlay_tts_e4012fd9 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: create_silence_76ab4962, 耗时 19.6ms
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #9: 1 个任务, 总显存 3072MB
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 overlay_tts_e4012fd9 → GPU 0
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: overlay_tts_e4012fd9 → GPU 0
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: overlay_tts_e4012fd9 → GPU 0 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: overlay_tts_e4012fd9 (was_preloading=False, was_cached=True, 剩余
预加载中: [], 剩余缓存: [])
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -i MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\tts_track.wav -i C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_audio_mixing0\tts\tts_full.wav -f
ilter_complex [1:a]adelay=0|0[delayed];[0:a][delayed]amix=inputs=2:duration=first:dropout_transition=0[out] -map [out] -c:a...
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [overlay_tts] 执行完成
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: overlay_tts_e4012fd9 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:845 - 音频叠加完成: MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\
tts_track.wav.wav
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: overlay_tts_e4012fd9 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: overlay_tts_e4012fd9 @ GPU 0, 释放 2048MB (记录=3072MB, 分配: 0M
B -> 0MB)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: overlay_tts_e4012fd9 (was_preloading=False, was_cached=False, 剩
余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:48 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: audio_mixing - 60% - 混合背景音乐...
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: overlay_tts_e4012fd9, 耗时 35.5ms
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [mix_audio_tracks] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentia
ls_build\bin\ffmpeg.exe -i MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\tts_track.wav -i C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_audio_mixing
0\bgm\bgm.wav -filter_complex [0:a]volume=1.0[a0];[1:a]volume=0.2[a1];[a0][a1]amix=inputs=2:duration=first:dropout_transition=0[out] -map [out] -c:a pcm_s16le -ar 44100 -ac 2...
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: mix_audio_tracks_cb62d721
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: mix_audio_tracks_cb62d721 (mix_audio_tracks)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: mix_audio_tracks_cb62d721 (模型: mix_audio_tracks)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: mix_audio_tracks_cb62d721 (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #10: 1 个任务, 总显存 3072MB
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 mix_audio_tracks_cb62d721 → GPU 0
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: mix_audio_tracks_cb62d721 → GPU 0
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: mix_audio_tracks_cb62d721 → GPU 0 (显存增量: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: mix_audio_tracks_cb62d721 (was_preloading=False, was_cached=Tru
e, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -i MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\tts_track.wav -i C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_audio_mixing0\bgm\bgm.wav -filter
_complex [0:a]volume=1.0[a0];[1:a]volume=0.2[a1];[a0][a1]amix=inputs=2:duration=first:dropout_transition=0[out] -map [out] -c:a...
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: mix_audio_tracks_cb62d721 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0MB[0
m
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [mix_audio_tracks] 执行完成
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: mix_audio_tracks_cb62d721 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:48 | INFO     | src/utils/ffmpeg_utils.py:917 - 多轨混音完成: MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mixing\mixed_audi
o.wav (2 轨道)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: mix_audio_tracks_cb62d721 @ GPU 0, 释放 2048MB (记录=3072MB, 分
配: 0MB -> 0MB)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: mix_audio_tracks_cb62d721 (was_preloading=False, was_cached=Fal
se, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: mix_audio_tracks_cb62d721, 耗时 43.8ms
2026-02-04 00:08:48 | INFO     | src/Pipeline/steps/audio_mixing_step.py:199 - 音频混合完成: MagicMock\mock.config.output_dir\2817127465424\intermediate\audio_mix
ing\mixed_audio.wav
2026-02-04 00:08:48 | INFO     | src/Pipeline/steps/audio_mixing_step.py:200 - 最终时长: 0.00s
2026-02-04 00:08:48 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: audio_mixing - 100% - 音频混合完成
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestAudioMixingStep::test_audio_mixing PASSED
2026-02-04 00:08:48 | DEBUG    | src/utils/ffmpeg_utils.py:286 - [create_silence_mixed] 提交到 GPU 调度器 V3: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-esse
ntials_build\bin\ffmpeg.exe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 5.0 -c:a pcm_s16le -ar 44100 -ac 2 -y C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test
_video_synthesis0\audio\mixed.wav...
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/task_queue.py:83 - \U0001f4e5 任务入队: create_silence_mixed_91f4bdef
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/scheduler.py:385 - 任务已提交: create_silence_mixed_91f4bdef (create_silence_mixed)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:344 - \U0001f504 开始预加载: create_silence_mixed_91f4bdef (模型: create_silence_mixed)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:397 - \u2705 预加载完成: create_silence_mixed_91f4bdef (内存增量: 0MB, 数据占用: 0MB, 耗时: 0.0ms)
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/round_allocator.py:365 - \U0001f4e6 分配批次 #11: 1 个任务, 总显存 3072MB
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/scheduler.py:726 - 分配任务 create_silence_mixed_91f4bdef → GPU 0
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:453 - \U0001f4e4 开始GPU转移: create_silence_mixed_91f4bdef → GPU 0
2026-02-04 00:08:48 | INFO     | src/GpuScheduler/core/preloader.py:486 - \u2705 GPU转移完成: create_silence_mixed_91f4bdef → GPU 0 (显存增量: 0MB, 耗时: 0.4ms)
2026-02-04 00:08:48 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_mixed_91f4bdef (was_preloading=False, was_cached
=True, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:49 | INFO     | src/GpuScheduler/tasks/ffmpeg_task.py:134 - 执行FFmpeg命令: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_build\bin\ffmpeg.e
xe -f lavfi -i anullsrc=channel_layout=stereo:sample_rate=44100 -t 5.0 -c:a pcm_s16le -ar...
2026-02-04 00:08:49 | DEBUG    | src/GpuScheduler/scheduler.py:886 - \U0001f4ca 显存测量: create_silence_mixed_91f4bdef 基线=0MB, 峰值=0MB, 执行后=0MB, 增量=0M
B
2026-02-04 00:08:49 | DEBUG    | src/utils/ffmpeg_utils.py:311 - [create_silence_mixed] 执行完成
2026-02-04 00:08:49 | DEBUG    | src/GpuScheduler/scheduler.py:897 - \U0001f4ca 修正分配记录: create_silence_mixed_91f4bdef 原分配=3072MB, 实际使用=0MB
2026-02-04 00:08:49 | DEBUG    | src/utils/ffmpeg_utils.py:792 - 创建静音音频: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_video_s
ynthesis0\audio\mixed.wav (5.0s)
2026-02-04 00:08:49 | DEBUG    | src/GpuScheduler/core/round_allocator.py:759 - \U0001f4ca 调整GPU 0 分配记录: 3072MB -> 0MB (delta=-3072MB)
2026-02-04 00:08:49 | DEBUG    | src/GpuScheduler/core/round_allocator.py:738 - 释放任务资源: create_silence_mixed_91f4bdef @ GPU 0, 释放 2048MB (记录=3072M
B, 分配: 0MB -> 0MB)
2026-02-04 00:08:49 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_synthesis - 5% - 准备视频合成...
2026-02-04 00:08:49 | DEBUG    | src/GpuScheduler/core/preloader.py:634 - 清理预加载缓存: create_silence_mixed_91f4bdef (was_preloading=False, was_cached
=False, 剩余预加载中: [], 剩余缓存: [])
2026-02-04 00:08:49 | DEBUG    | src/GpuScheduler/scheduler.py:1127 - 已清理GPU 0 的CUDA缓存
2026-02-04 00:08:49 | INFO     | src/Pipeline/steps/video_synthesis_step.py:110 - 使用简单模式：原始视频 + 混合音频
2026-02-04 00:08:49 | INFO     | src/GpuScheduler/scheduler.py:914 - 任务完成: create_silence_mixed_91f4bdef, 耗时 20.7ms
2026-02-04 00:08:49 | INFO     | src/Pipeline/steps/video_synthesis_step.py:128 - 视频合成:
2026-02-04 00:08:49 | INFO     | src/Pipeline/steps/video_synthesis_step.py:129 -   源视频: data\test_videos\test_video_zh.mp4
2026-02-04 00:08:49 | INFO     | src/Pipeline/steps/video_synthesis_step.py:130 -   混合音频: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_
video_synthesis0\audio\mixed.wav
2026-02-04 00:08:49 | INFO     | src/Pipeline/steps/video_synthesis_step.py:131 -   输出: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_vi
deo_synthesis0\output\final\test_video_zh_translated.mp4
2026-02-04 00:08:49 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_synthesis - 20% - 合成视频中...
2026-02-04 00:08:49 | DEBUG    | src/utils/ffmpeg_utils.py:344 - [video_synthesis] 执行 CPU 任务: G:\全球化内容供应商\tools\ffmpeg\ffmpeg-8.0.1-essentials_bui
ld\bin\ffmpeg.exe -i data\test_videos\test_video_zh.mp4 -i C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_video_synthesis0\audio\mixed.wav -map 0:v:0 -map 1:a:0 -c:v copy -c:a 
aac -b:a 192k...
2026-02-04 00:08:49 | INFO     | src/GpuScheduler/scheduler.py:518 - \U0001f9f9 队列已清空，开始清理GPU缓存...
2026-02-04 00:08:49 | DEBUG    | src/GpuScheduler/scheduler.py:1166 - GPU内存已清理
2026-02-04 00:08:49 | INFO     | src/GpuScheduler/scheduler.py:531 - \u2705 GPU缓存已全部清理
2026-02-04 00:08:49 | DEBUG    | src/utils/ffmpeg_utils.py:367 - [video_synthesis] CPU 任务完成
2026-02-04 00:08:49 | INFO     | src/utils/ffmpeg_utils.py:1666 - 视频音频合并完成: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_video_synthesi
s0\output\final\test_video_zh_translated.mp4
2026-02-04 00:08:49 | INFO     | src/Pipeline/steps/video_synthesis_step.py:157 - 视频合成完成: C:\Users\Hurca\AppData\Local\Temp\pytest-of-Hurca\pytest-241\test_
video_synthesis0\output\final\test_video_zh_translated.mp4
2026-02-04 00:08:49 | INFO     | src/Pipeline/steps/video_synthesis_step.py:158 - 文件大小: 53.2 KB
2026-02-04 00:08:49 | DEBUG    | src/Pipeline/core/pipeline_step.py:255 - \U0001f4ca Step.report_progress: video_synthesis - 100% - 视频合成完成
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoSynthesisStep::test_video_synthesis PASSED
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:72 - ============================================================
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:73 - \U0001f344 初始化蘑菇级音画同步管线
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:74 -   源语言: zh-CN
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:75 -   目标语言: ['en-US']
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:76 -   ASR模型: large-v3
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:77 -   Demucs模型: htdemucs
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:78 -   TTS速度: 1.0x
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:79 -   高级特性: RIFE插帧 + Wav2Lip嘴型驱动
2026-02-04 00:08:49 | INFO     | src/Pipeline/pipelines/advanced_av_sync_pipeline.py:80 - ============================================================
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestAdvancedAVSyncPipelineIntegration::test_pipeline_step_registration PASSED
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestAdvancedAVSyncPipelineIntegration::test_pipeline_metadata PASSED

============================== warnings summary ===============================
tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoSlicingStep::test_video_slicing_with_real_video
  G:\全球化内容供应商\venv\Lib\site-packages\pyannote\core\notebook.py:134: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed in 3.11. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap()`` or ``pyplot.get_cmap()`` instead.
    cm = get_cmap("Set1")

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

---------- coverage: platform win32, python 3.11.0-final-0 -----------
Name                                                         Stmts   Miss Branch BrPart  Cover   Missing
--------------------------------------------------------------------------------------------------------
src\GpuScheduler\__init__.py                                    42      2      0      0    95%   93-94
src\GpuScheduler\core\__init__.py                                7      0      0      0   100%
src\GpuScheduler\core\hardware_monitor.py                      296    124     68     15    52%   22-24, 60, 92, 98-100, 163, 186-191, 195-205, 215, 220, 233-245, 249->exit, 252-253, 262->271, 268, 273->259, 278, 283, 289, 293->297, 309-311, 316-317, 323-325, 330, 349-351, 355-384, 399, 405, 420-423, 439-449, 467-469, 475-477, 496-497, 506-507, 511-512, 516-517, 521-523, 527-528, 532, 536-539, 556-584
src\GpuScheduler\core\preloader.py                             280     84     54     23    67%   22-24, 195-197, 208-209, 218-220, 237-238, 242-243, 252-257, 275, 283, 297-298, 312-313, 338, 341-342, 382-388, 406-419, 444-446, 500-506, 518-522, 525, 530-532, 537, 542, 544, 546, 556-559, 564-565, 572-574, 585, 587-592, 598-600, 604, 610-611, 647->exit, 649-650, 665-670, 674-675
src\GpuScheduler\core\resource_profiler.py                     203     89     36      6    52%   29-31, 48, 53, 92-107, 111-125, 131-137, 157, 240->243, 270-271, 277-279, 303-313, 337-353, 379-395, 444-448, 456-457, 478-482, 499-512, 535-548, 559, 569-570, 574-590
src\GpuScheduler\core\round_allocator.py                       354    123    122     28    59%   27-29, 71, 93, 202, 213, 218, 223-228, 236-239, 260-261, 265, 269, 273, 283, 303-336, 342-343, 349->347, 355-356, 384, 399, 403, 423->421, 426, 455, 473, 480, 509, 514-515, 538, 551-552, 561-564, 569-574, 580, 583, 611-630, 645-650, 659-693, 697-712, 732->736, 792-801, 811->815
src\GpuScheduler\core\status_emitter.py                        150     39     40     13    69%   18-20, 64, 90, 118, 134-137, 141, 145->exit, 148-150, 174-175, 186->192, 192->197, 197->202, 202->206, 206->209, 214, 236, 265->271, 279, 290-295, 299-300, 304-319, 323-324
src\GpuScheduler\core\task_queue.py                             94     26     14      3    68%   19-21, 57, 75-76, 90->exit, 93-94, 99-118, 148-150
src\GpuScheduler\scheduler.py                                  542    238    154     36    52%   45-47, 142-145, 176, 236, 242-243, 297-303, 313-354, 367-368, 399-416, 420-421, 425, 429, 433, 442-443, 448, 461, 483-486, 510-511, 526->537, 532-535, 551-601, 607, 632, 637, 643, 648, 657-659, 663-674, 684-685, 690->697, 701-703, 718-719, 759-761, 771-792, 799->808, 802, 804->808, 814->822, 816->819, 827-842, 854-855, 863-870, 916-929, 948-951, 968-1010, 1014-1047, 1051-1059, 1087, 1090->1107, 1093->1097, 1114->1119, 1119->1135, 1122->1135, 1124->1126, 1128-1131, 1135->1139, 1161->1166, 1163-1164, 1178-1185, 1195
src\GpuScheduler\signals\__init__.py                             2      0      0      0   100%
src\GpuScheduler\signals\scheduler_signals.py                   83      1      4      0    99%   218
src\GpuScheduler\tasks\__init__.py                               4      0      0      0   100%
src\GpuScheduler\tasks\base_task.py                            198     62     24      6    65%   24-26, 48, 153-154, 203, 212, 220, 261, 270, 278, 293-294, 300-304, 326-328, 340-377, 381-383, 388, 399, 409-413, 439-441, 453-456, 476, 494-504
src\GpuScheduler\tasks\ffmpeg_task.py                          134     60     38      6    51%   18-20, 35-46, 98, 103, 125->132, 128-129, 147-148, 156-158, 187->192, 193-196, 202-208, 215-220, 257-282, 303-320, 343-368
src\GpuScheduler\tasks\pytorch_task.py                          95     80     20      0    13%   15-17, 67-71, 76, 80-81, 88-89, 96-105, 109-124, 128-149, 153-212
src\Gui\__init__.py                                              5      5      0      0     0%   67-91
src\Gui\app.py                                                  81     81     18      0     0%   55-270
src\Gui\controllers\__init__.py                                  3      3      0      0     0%   55-58
src\Gui\controllers\managers\__init__.py                         6      6      0      0     0%   15-21
src\Gui\controllers\managers\base_manager.py                     9      9      0      0     0%   10-38
src\Gui\controllers\managers\pipeline_lifecycle_manager.py     278    278     90      0     0%   17-655
src\Gui\controllers\managers\task_data_manager.py              168    168     92      0     0%   10-381
src\Gui\controllers\managers\ui_signal_bridge.py               183    183     44      0     0%   14-461
src\Gui\controllers\managers\user_action_handler.py            182    182     74      0     0%   15-397
src\Gui\controllers\pipeline_controller.py                     198    198     34      0     0%   48-459
src\Gui\controllers\window_controller.py                        59     59      4      0     0%   14-131
src\Gui\pipeline_window.py                                     415    415    154      0     0%   49-1037
src\Gui\widgets\__init__.py                                     12     12      0      0     0%   66-78
src\Gui\widgets\concurrent_step_view.py                         34     34      0      0     0%   7-78
src\Gui\widgets\config_item_renderer.py                        131    131     38      0     0%   42-269
src\Gui\widgets\config_panel.py                                162    162     16      0     0%   9-427
src\Gui\widgets\gpu_monitor.py                                 226    226     52      0     0%   49-516
src\Gui\widgets\log_viewer.py                                   61     61      2      0     0%   55-247
src\Gui\widgets\pipeline_select_dialog.py                       94     94     16      0     0%   7-235
src\Gui\widgets\results_view.py                                421    421     94      0     0%   10-754
src\Gui\widgets\step_panel.py                                  386    386     86      0     0%   48-788
src\Gui\widgets\step_param_view.py                             105    105     20      0     0%   6-205
src\Gui\widgets\task_card.py                                   319    319     72      0     0%   60-836
src\Gui\widgets\task_grid.py                                   184    184     72      0     0%   50-410
src\Gui\widgets\welcome_screen.py                              109    109     10      0     0%   36-333
src\Pipeline\__init__.py                                         2      0      0      0   100%
src\Pipeline\core\__init__.py                                    8      0      0      0   100%
src\Pipeline\core\concurrent_step.py                           391    225    138     27    39%   45-47, 108, 134-159, 177, 193-196, 210, 233-240, 251, 268->exit, 276, 280, 285-288, 295-297, 301, 316-317, 339-341, 368, 373-389, 399->407, 401-404, 418->442, 438-439, 443-446, 535-536, 557->564, 564->569, 604, 622, 635-636, 638-639, 649, 651, 663->669, 671-703, 722-737, 740, 764-863, 887-980, 1006-1015, 1026-1035, 1045-1051, 1147-1156, 1175-1179, 1196-1199
src\Pipeline\core\interactive_pipeline.py                      356    279    120      0    16%   34-52, 138-238, 250-318, 328-350, 359-368, 378-387, 396-402, 406-409, 413-416, 420-426, 436-454, 463-474, 483-497, 506-556, 560-576, 580-608, 621-631, 644-654, 666-669, 680-684, 693-709, 723-738, 747-759
src\Pipeline\core\pipeline_registry.py                         239    180     66      0    19%   64-66, 71-73, 81-112, 116-132, 137-149, 154-173, 178-189, 201-205, 209-212, 224-227, 234-237, 241-242, 256-267, 276-291, 305-320, 324-331, 346-412, 416-420, 433-434, 438-439, 443-447, 453, 458, 463, 468, 473, 478
src\Pipeline\core\pipeline_state.py                             23      5      0      0    78%   22, 27-38, 43, 54
src\Pipeline\core\pipeline_step.py                             102     43     26      3    52%   45, 76, 89, 98, 122, 143, 156-215, 232, 241, 260->270, 266-267, 271, 281, 285-290
src\Pipeline\core\step_interface_adapter.py                     84     18     38     13    70%   82, 95, 110, 122, 136, 143, 151, 158, 181-184, 211, 223-225, 229-230, 242, 248->251, 251->exit
src\Pipeline\core\step_result.py                                54     24     16      0    43%   41-42, 46, 51-53, 58-62, 66-74, 80-84, 88
src\Pipeline\pipelines\__init__.py                               2      0      0      0   100%
src\Pipeline\pipelines\_pipeline_template.py                    58     58      8      0     0%   24-301
src\Pipeline\pipelines\advanced_av_sync_pipeline.py             70     43     24      0    29%   104-167
src\Pipeline\steps\__init__.py                                  14      0      0      0   100%
src\Pipeline\steps\_concurrent_step_template.py                105    105     10      0     0%   19-392
src\Pipeline\steps\_step_template.py                           106    106     10      0     0%   18-350
src\Pipeline\steps\asr_step.py                                 125    103     40      0    13%   44-59, 64-68, 73-77, 91, 129-249, 266-340
src\Pipeline\steps\audio_extraction_step.py                     40     22      2      0    43%   33, 66-117
src\Pipeline\steps\audio_mixing_step.py                        197    109     58     10    40%   55, 99, 116, 118, 131-134, 169-179, 237-298, 324-325, 334, 353-354, 357->362, 364-367, 389-390, 412-512
src\Pipeline\steps\av_sync_step.py                             125    104     32      0    13%   36, 85-217, 230-251, 268-287, 305-321, 331-341, 349-360
src\Pipeline\steps\frame_interpolation_step.py                 197     47     44     17    72%   49, 54-56, 61, 95, 107, 109, 137-144, 195, 202-204, 220, 243, 271, 277-278, 292-310, 323->332, 326->332, 337-341, 347, 374-392, 404-405, 437-440, 464-466, 512, 536->535
src\Pipeline\steps\lip_sync_step.py                            175    100     32      9    42%   39, 80, 95, 97, 103->107, 136-156, 194-195, 207-270, 288, 290, 308-378, 383, 398-427, 435-445
src\Pipeline\steps\nllb_translation_step.py                    112     84     16      0    22%   38-42, 47-51, 100, 147-220, 229-244, 253-297, 318-338, 352, 356-377
src\Pipeline\steps\time_remap_plan_step.py                     239    113     82     20    47%   41, 89, 101, 103, 110, 126->129, 129->134, 146-153, 211-224, 245-258, 271, 273, 294, 317-331, 340-344, 347-351, 361, 368-387, 409-411, 430-457, 467-497, 505-522, 530-552, 574-576, 591->590
src\Pipeline\steps\translation_step.py                          83     83     14      0     0%   8-234
src\Pipeline\steps\tts_step.py                                 159    131     42      0    14%   46, 74-146, 161-179, 193-244, 266-308, 345-414, 418-421, 436, 459-474, 485-496
src\Pipeline\steps\video_concat_step.py                        114     25     44     12    69%   42, 94, 105, 119, 122, 158, 199-212, 226-230, 237, 248->246, 277->275, 293-294
src\Pipeline\steps\video_slicing_step.py                       159     38     34     15    73%   46, 96, 108, 110, 146-154, 203->222, 207-219, 231-243, 252-255, 284->302, 286->302, 364, 397-407, 432-435, 472-473, 480
src\Pipeline\steps\video_synthesis_step.py                      61      7      8      4    84%   41, 87, 97, 104-106, 153
src\Pipeline\steps\vocal_separation_step.py                     46     30      4      0    32%   30, 71-129
src\Services\__init__.py                                        13      0      0      0   100%
src\Services\asr_service_v3.py                                  53     34      8      0    31%   28-34, 60-62, 69-72, 76-81, 85-99, 112-121
src\Services\audio_denoiser_v3.py                               64     44      6      0    29%   26-29, 67-77, 89-92, 107-112, 126-164, 192-206
src\Services\audio_extractor_v3.py                              93     75     18      0    16%   66-97, 106-117, 122-129, 158-180, 189-259, 291-308, 328-338
src\Services\frame_interpolation\__init__.py                     2      0      0      0   100%
src\Services\frame_interpolation\rife_interpolation_v3.py       78     60     12      0    20%   44-46, 53-62, 66-67, 71-76, 80-109, 115-140, 144-145, 154-167
src\Services\lip_sync\__init__.py                                3      0      0      0   100%
src\Services\lip_sync\face_alignment_service_v3.py              86     70     22      0    15%   30-49, 80-90, 102-103, 120-139, 153-208, 229-246, 263-270
src\Services\lip_sync\wav2lip_service_v3.py                     79     61     14      0    19%   45-51, 58-73, 77-93, 97-102, 106-123, 129-147, 156-169
src\Services\nllb_translator_v3.py                              47     33      2      0    29%   39, 66-71, 78-88, 92-123, 133-147
src\Services\singing_detection_v3.py                            88     69     12      0    19%   51-56, 68-70, 85-99, 118-180, 194-214, 235-252
src\Services\source_separator_v3.py                            143    125     46      0    10%   64-74, 86-103, 115-194, 210-295, 320-337
src\Services\speaker_diarization_v3.py                         120     96     22      0    17%   26-27, 33-34, 78-87, 99-101, 116-136, 153-226, 241-284, 311-329
src\Services\video_analysis\__init__.py                          3      3      0      0     0%   7-10
src\Services\video_analysis\face_detection.py                  309    309     94      0     0%   12-655
src\Services\video_analysis\scene_detection.py                 166    166     66      0     0%   10-391
src\Services\vocal_separator_v3.py                              70     54     14      0    19%   48-55, 62-81, 85-95, 99-130, 139-152
src\Services\voice_cloning_tts_v3.py                           132    103     26      1    19%   52-68, 77-81, 90-105, 139-146, 158-173, 189-219, 234-303, 326-342
src\__init__.py                                                 11      0      0      0   100%
src\config\__init__.py                                           4      0      0      0   100%
src\config\model_memory_cache.py                               112     88     32      0    17%   85-88, 93-97, 101-112, 116-131, 151-173, 195-234, 238, 245-247, 252, 265-274, 295-305
src\config\model_memory_config.py                               52     33     16      0    28%   69-77, 81-87, 112-134, 138, 142, 146, 150, 154, 158, 167-169
src\config\settings.py                                         184     33     36      9    76%   37->41, 42, 99-100, 159, 161->165, 292, 298, 303, 318-322, 326-337, 341-346, 350-361
src\core\__init__.py                                             2      0      0      0   100%
src\core\signal_bus\__init__.py                                  8      2      0      0    75%   171-178
src\core\signal_bus\bus.py                                     184    103     78      6    39%   57-69, 74-76, 81, 104->110, 115, 154-163, 180-198, 207-210, 242-244, 256-305, 312, 318, 347, 353-369, 374-392, 398-400, 404-406, 410, 416-427
src\core\signal_bus\emitter.py                                  19      7      2      0    57%   48-54, 84-86
src\core\signal_bus\listener.py                                 46     31     16      0    24%   69-84, 102-113, 121-127, 146-150, 154, 178-179, 189-190, 204
src\core\signal_bus\signals.py                                 222      6      2      0    96%   358, 370-373, 501
src\models\__init__.py                                           6      0      0      0   100%
src\models\config_item.py                                       32     32      0      0     0%   5-61
src\models\enums.py                                             45      0      0      0   100%
src\models\media.py                                             82     17      8      0    72%   31-34, 39, 44-46, 85-88, 93, 98-100, 105
src\models\model_pipeline.py                                    75     75     18      0     0%   11-208
src\models\model_registry.py                                   112    112     18      0     0%   12-301
src\models\step_data.py                                        149     42     26      0    61%   70, 75-77, 82, 114, 146, 151, 222, 253-255, 296, 364-379, 398, 411-433
src\models\subtitle.py                                          61     26     16      0    45%   31-33, 38, 42-44, 48-50, 82, 87-89, 93-94, 98-101, 105, 117-121
src\models\task.py                                             175     86     24      0    45%   73-75, 134, 143-147, 154-173, 177, 181-182, 186-187, 191, 199-201, 206-208, 213, 218, 223, 227-230, 234-238, 242-247, 251-254, 258-260, 267-272, 276-286, 290-297, 301-308, 312-315
src\utils\__init__.py                                           11      0      0      0   100%
src\utils\audio_utils.py                                       127    118     38      0     5%   26-67, 79-145, 157-224, 229-245
src\utils\ffmpeg_utils.py                                      539    330    150     20    34%   47, 54-56, 66, 94->97, 121-128, 132-137, 147, 152, 157, 175-184, 208-234, 309, 365, 370-375, 401-425, 442-474, 479-493, 507, 569, 623, 653-684, 717-746, 790, 843, 878, 905, 915, 947-982, 1019-1020, 1035, 1049->1054, 1060, 1070-1071, 1098-1126, 1154-1167, 1192-1207, 1233-1271, 1314-1353, 1380-1401, 1440, 1444-1445, 1458-1468, 1481-1492, 1505-1513, 1539-1553, 1575-1589, 1645-1661, 1664, 1723-1784, 1827-1879
src\utils\file_utils.py                                         77     53     32      1    25%   49, 62, 80-93, 111-124, 138-145, 160-168, 183-186, 201-202, 213-227, 240, 254-257
src\utils\logger.py                                             62      8     12      5    82%   35->exit, 40-42, 51->54, 79-80, 144-145, 173, 197
src\utils\media_standards.py                                   108     18     18      6    76%   45, 51->54, 54->57, 58, 84, 99-103, 236-245, 259-275, 295-300, 318, 342
src\utils\model_utils.py                                       108     97     20      0     9%   39-84, 104-115, 134-161, 175-191, 201-216, 229-255
src\utils\process_manager.py                                   162    137     64      0    11%   48-51, 55-64, 68-75, 79-86, 108-119, 132-137, 150-156, 171-229, 239-268, 275-306, 311-317
src\utils\subtitle_utils.py                                    113     99     30      0    10%   23-28, 41-46, 59-61, 74-76, 90-107, 121-137, 150-180, 193-233, 248-258, 292-313
src\utils\time_utils.py                                         87     77     40      0     8%   19-34, 47-50, 63-67, 81-116, 130, 144, 158-160, 173-197
src\utils\warnings_config.py                                    16      0      0      0   100%
--------------------------------------------------------------------------------------------------------
TOTAL                                                        14301   9773   3528    314    28%
Coverage HTML written to dir htmlcov

============================ slowest 10 durations =============================
16.46s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoSlicingStep::test_video_slicing_with_real_video
1.70s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestAudioMixingStep::test_audio_mixing
1.26s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoConcatStep::test_video_concat
0.88s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestFrameInterpolationStep::test_frame_interpolation_fallback
0.48s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoSynthesisStep::test_video_synthesis
0.33s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestLipSyncStep::test_lip_sync_fallback
0.16s setup    tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestTimeRemapPlanStep::test_time_remap_plan_calculation
0.01s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestTimeRemapPlanStep::test_time_remap_plan_calculation
0.01s setup    tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestVideoSlicingStep::test_video_slicing_with_real_video
0.00s call     tests/unit/pipeline/test_advanced_av_sync_pipeline.py::TestAdvancedAVSyncPipelineIntegration::test_pipeline_step_registration
======================== 9 passed, 1 warning in 25.58s ========================
2026-02-04 00:08:54 | INFO     | src/GpuScheduler/scheduler.py:313 - 正在关闭GPU调度器V3...
2026-02-04 00:08:54 | DEBUG    | src/GpuScheduler/scheduler.py:448 - 调度循环结束
2026-02-04 00:08:55 | INFO     | src/GpuScheduler/core/hardware_monitor.py:245 - \U0001f50d 硬件监控线程已停止
2026-02-04 00:08:55 | INFO     | src/GpuScheduler/core/status_emitter.py:137 - \U0001f4e1 状态发射器已停止
2026-02-04 00:08:55 | DEBUG    | src/GpuScheduler/scheduler.py:1166 - GPU内存已清理
2026-02-04 00:08:55 | INFO     | src/GpuScheduler/scheduler.py:354 - GPU调度器V3已关闭