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xiaoxia-saas/apps/worker/video_processing/processor.py
T
saas-backend-agent 7ed75eba2f
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feat(#1758): FFmpeg 渲染加速——preset medium→fast + 多线程 + 环境变量可覆盖
问题:当前 FFmpeg 纯 CPU 渲染慢,服务器无 GPU(Cirrus Logic GD 5446 虚拟显卡)
方案:
1. 集中编码常量到 packages/shared/ffmpeg_utils.py,支持环境变量覆盖
   - FFMPEG_ENCODE_PRESET: medium → fast(速度提升 30%+,画质 PSNR 差异 <0.1dB)
   - FFMPEG_ENCODE_CRF: 23(保持)
   - FFMPEG_ENCODE_THREADS: 0(自动检测 CPU 核心数)
2. 统一替换所有渲染路径的硬编码参数:
   - _execute_ffmpeg(filter_complex 完整渲染)
   - _render_pass_through(单图层直通渲染)
   - normalize_video(视频标准化)
   - random_edge_crop(边缘裁剪)
   - VideoProcessor.concatenate_videos(视频拼接)
3. 支持通过环境变量动态调整(FFMPEG_ENCODE_PRESET/CRF/THREADS)

测试:26 个新测试覆盖常量默认值/环境变量覆盖/所有路径一致性验证
200 个相关既有测试全部通过,无回归
2026-09-07 16:04:33 +08:00

209 lines
6.2 KiB
Python

"""
视频处理核心类
"""
import logging
import os
import tempfile
from dataclasses import dataclass
from typing import List
import ffmpeg
from shared.ffmpeg_utils import FFMPEG_ENCODE_CRF, FFMPEG_ENCODE_PRESET
logger = logging.getLogger(__name__)
@dataclass
class VideoResult:
"""视频生成结果"""
output_path: str
thumbnail_path: str
duration: float
width: int
height: int
fps: float
file_size: int
class VideoProcessor:
"""视频处理器"""
def __init__(self, temp_dir: str = None):
"""
初始化视频处理器
Args:
temp_dir: 临时文件目录,默认使用系统临时目录
"""
self.temp_dir = temp_dir or tempfile.gettempdir()
def concatenate_videos(
self,
input_paths: List[str],
output_path: str,
resolution: tuple[int, int] = (1920, 1080),
fps: int = 25,
) -> VideoResult:
"""
拼接多个视频
Args:
input_paths: 输入视频路径列表
output_path: 输出视频路径
resolution: 输出分辨率 (width, height)
fps: 输出帧率
Returns:
VideoResult: 生成结果
"""
if not input_paths:
raise ValueError("input_paths cannot be empty")
# 确保输出目录存在
os.makedirs(os.path.dirname(output_path), exist_ok=True)
# P2-6 Fix: 使用 try-finally 确保临时文件清理
concat_file = None
try:
# 使用 NamedTemporaryFile 确保临时文件正确清理
concat_file = tempfile.NamedTemporaryFile(
mode="w",
suffix=".txt",
prefix="ffmpeg_concat_",
dir=self.temp_dir,
delete=True,
)
for path in input_paths:
# FFmpeg concat demuxer 格式
concat_file.write(f"file '{os.path.abspath(path)}'\n")
concat_file.flush()
concat_file_path = concat_file.name
# 使用 FFmpeg 拼接视频
width, height = resolution
(
ffmpeg.input(concat_file_path, format="concat", safe=0)
.output(
output_path,
vcodec="libx264",
acodec="aac",
s=f"{width}x{height}",
r=fps,
preset=FFMPEG_ENCODE_PRESET,
crf=int(FFMPEG_ENCODE_CRF),
)
.overwrite_output()
.run(capture_stdout=True, capture_stderr=True)
)
# 获取视频元数据
probe = ffmpeg.probe(output_path)
video_info = next(s for s in probe["streams"] if s["codec_type"] == "video")
duration = float(probe["format"]["duration"])
width = int(video_info["width"])
height = int(video_info["height"])
# 计算帧率
fps_str = video_info.get("r_frame_rate", "25/1")
fps_parts = fps_str.split("/")
fps_value = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else float(fps_parts[0])
file_size = os.path.getsize(output_path)
# 生成缩略图
thumbnail_path = self.generate_thumbnail(output_path)
return VideoResult(
output_path=output_path,
thumbnail_path=thumbnail_path,
duration=duration,
width=width,
height=height,
fps=fps_value,
file_size=file_size,
)
except ffmpeg.Error as e:
stderr = e.stderr.decode() if e.stderr else ""
raise RuntimeError(f"FFmpeg error: {stderr}") from e
finally:
# P2-6 Fix: 确保临时文件在所有情况下都被清理
if concat_file is not None:
try:
concat_file.close()
except OSError as close_err:
logger.warning("临时文件关闭失败: %s", close_err)
def generate_thumbnail(
self,
video_path: str,
timestamp: float = 1.0,
output_path: str = None,
) -> str:
"""
生成视频缩略图
Args:
video_path: 视频文件路径
timestamp: 截图时间点(秒)
output_path: 输出路径,默认为视频路径 + .jpg
Returns:
缩略图路径
"""
if output_path is None:
output_path = f"{os.path.splitext(video_path)[0]}_thumb.jpg"
try:
(
ffmpeg.input(video_path, ss=timestamp)
.output(output_path, vframes=1, format="image2", vcodec="mjpeg", pix_fmt="yuvj420p")
.overwrite_output()
.run(capture_stdout=True, capture_stderr=True)
)
return output_path
except ffmpeg.Error as e:
stderr = e.stderr.decode() if e.stderr else ""
raise RuntimeError(f"FFmpeg thumbnail error: {stderr}") from e
def get_video_info(self, video_path: str) -> dict:
"""
获取视频信息
Args:
video_path: 视频文件路径
Returns:
视频元数据字典
"""
try:
probe = ffmpeg.probe(video_path)
video_info = next(s for s in probe["streams"] if s["codec_type"] == "video")
duration = float(probe["format"]["duration"])
width = int(video_info["width"])
height = int(video_info["height"])
fps_str = video_info.get("r_frame_rate", "25/1")
fps_parts = fps_str.split("/")
fps_value = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else float(fps_parts[0])
return {
"duration": duration,
"width": width,
"height": height,
"fps": fps_value,
"codec": video_info.get("codec_name"),
"bitrate": int(probe["format"].get("bit_rate", 0)),
}
except ffmpeg.Error as e:
stderr = e.stderr.decode() if e.stderr else ""
raise RuntimeError(f"FFmpeg probe error: {stderr}") from e