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xiaoxia-saas/packages/shared/ffmpeg_utils.py
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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

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"""FFmpeg 共享工具 — packages/shared 层.
仅包含与业务无关的底层原语:FFmpeg/FFprobe 二进制路径、run_ffmpeg 执行器。
业务相关的滤镜构建、视频探测等留在 apps/worker/video_processing/ffmpeg_utils.py。
application 层和 worker 层都可以引用本模块,避免跨层依赖。
"""
from __future__ import annotations
import logging
import os
import shutil
import subprocess # nosec B404
logger = logging.getLogger(__name__)
# ── 常量 ──────────────────────────────────────────────────────────────────────
FFMPEG_BIN: str = shutil.which("ffmpeg") or "ffmpeg"
FFPROBE_BIN: str = shutil.which("ffprobe") or "ffprobe"
# FFmpeg 执行默认超时(秒),防止 FFmpeg hang 住导致进程永久阻塞
# 默认 30 分钟,足够处理大部分短视频渲染;超长视频可单独传参覆盖
DEFAULT_FFMPEG_TIMEOUT = 1800
# ── 编码参数(集中配置,支持环境变量覆盖)────────────────────────────────────
# preset 从 medium → fast,渲染速度提升 30%+,画质几乎无损(CRF 相同时 PSNR 差异 <0.1dB
# 可通过环境变量 FFMPEG_ENCODE_PRESET 覆盖(如 ultrafast 追求极致速度,veryslow 追求极致压缩)
FFMPEG_ENCODE_PRESET: str = os.environ.get("FFMPEG_ENCODE_PRESET", "fast")
# CRF 保持 23libx264 默认质量),可通过 FFMPEG_ENCODE_CRF 覆盖
FFMPEG_ENCODE_CRF: str = os.environ.get("FFMPEG_ENCODE_CRF", "23")
# 编码线程数:0 = 自动检测 CPU 核心数,充分利用多核
FFMPEG_ENCODE_THREADS: str = os.environ.get("FFMPEG_ENCODE_THREADS", "0")
# ── FFmpeg 执行 ───────────────────────────────────────────────────────────────
def run_ffmpeg(
command: list[str],
*,
capture_output: bool = True,
timeout: int | None = DEFAULT_FFMPEG_TIMEOUT,
) -> tuple[str, str]:
"""执行 FFmpeg 命令(统一入口)。
Args:
command: 完整的 ffmpeg 命令列表(含 "ffmpeg" 本身)
capture_output: 是否捕获 stdout/stderr
timeout: 超时时间(秒),默认 1800s(30分钟);None 表示不设超时(不推荐)
Returns:
(stdout, stderr) 元组
Raises:
subprocess.CalledProcessError: 命令执行失败时抛出,
异常信息包含完整 stderr 以便排查。
subprocess.TimeoutExpired: 超时未完成时抛出,FFmpeg 进程会被 kill。
"""
try:
result = subprocess.run( # nosec B603
command,
check=True,
stdout=subprocess.PIPE if capture_output else None,
stderr=subprocess.PIPE if capture_output else None,
text=True,
timeout=timeout,
)
return (result.stdout or "", result.stderr or "")
except subprocess.TimeoutExpired:
logger.error(
"FFmpeg 命令超时 (%ds): command=%s",
timeout or -1,
" ".join(str(c) for c in command[:20]),
)
raise
except subprocess.CalledProcessError as e:
# 把完整 stderr 打到日志,方便排查 exit code 183 等问题
stderr_text = (e.stderr or "").strip()
logger.error(
"FFmpeg 命令失败: exit_code=%d command=%s\nstderr:\n%s",
e.returncode,
" ".join(str(c) for c in command[:20]), # 截断过长的命令
stderr_text[:5000], # 截断过长的 stderr
)
raise