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xiaoxia-saas/apps/worker/video_processing/unified_render_service.py
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fix(api+ci): DELETE 204响应体全修复 + isort/black整理 + CI环境兼容 + 测试修复 (#286)
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"""统一渲染引擎 — 输入 EditPlan + EditPlanClips,按时间线+图层渲染视频.
核心原则(灵应):渲染引擎是统一的,不判断模式,只按 clip_type/config.role
分组为图层再合成。
图层分组:
main (无 config.role) → main (z=0)
main + config.role=b_roll → broll (z=0,与 main 同层替换)
overlay → overlay (z=1,画中画叠加)
background → background (z=0,全屏底图)
corner_voice → corner_voice (z=1,右上角小窗)
b_roll → broll (z=0)
intro / outro → main (z=0,按 order 排在首/尾)
合成流程:
1. 每个 clip 先 trim + scale + setpts 预处理
2. 同层 clips 按 order 用 xfade 串联
3. overlay/corner_voice 层 overlay 到主层
4. 如有独立音频轨,amix 混入
"""
from __future__ import annotations
import logging
import subprocess
import time
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
from video_processing.ffmpeg_utils import (
DEFAULT_FPS,
DEFAULT_OUTPUT_HEIGHT,
DEFAULT_OUTPUT_WIDTH,
DEFAULT_TRANSITION_DURATION,
FFMPEG_BIN,
build_xfade_filter_chain,
probe_duration,
probe_video_info,
run_ffmpeg,
)
from video_processing.render_audio import RenderContext, merge_audio_video, mix_audio
from video_processing.render_subtitles import generate_ass_subtitles
logger = logging.getLogger(__name__)
# ── 数据结构 ──────────────────────────────────────────────────────────────────
@dataclass
class ResolvedClip:
"""已解析到本地路径的片段。"""
clip_id: str
asset_id: str
local_path: Path
clip_type: str
order: int
start_time: float = 0.0
duration: float = 0.0 # 0 表示使用素材完整时长
transition_effect: str = "cut"
config: dict[str, Any] = field(default_factory=dict)
# 运行时填充
actual_duration: float = 0.0 # 素材实际时长(probe 后填充)
@dataclass
class RenderLayer:
"""渲染图层。"""
role: str # "main" | "overlay" | "pip" | "background" | "corner_voice" | "broll" | "audio"
clips: list[ResolvedClip] = field(default_factory=list)
z_index: int = 0
opacity: float = 1.0
position: tuple[int, int] | None = None # (x, y) 偏移,None 表示全屏
@dataclass
class RenderResult:
"""渲染结果。"""
output_path: Path
duration: float
file_size: int
width: int
height: int
# ── clip_type → layer role 映射 ──────────────────────────────────────────────
def _resolve_layer_role(clip_type: str, config: dict[str, Any]) -> str:
"""根据 clip_type 和 config.role 确定图层角色。
映射规则:
intro / outro → "main"(按 order 排在首/尾)
overlay → "overlay"(画中画叠加,z=1
corner_voice → "corner_voice"(右上角小窗,z=1
background → "background"(全屏底图,z=0
b_roll → "broll"z=0
main + config.role=b_roll → "broll"
main (default) → "main"
"""
role = config.get("role", "")
if clip_type in ("intro", "outro"):
return "main"
if clip_type == "overlay":
return "overlay"
if clip_type == "corner_voice":
return "corner_voice"
if clip_type == "background":
return "background"
if clip_type == "b_roll":
return "broll"
# main type
if role == "b_roll":
return "broll"
if role == "audio":
return "audio"
return "main"
# ── 图层默认 z_index ─────────────────────────────────────────────────────────
_LAYER_Z_INDEX: dict[str, int] = {
"background": -1,
"broll": 0,
"main": 0,
"overlay": 1,
"corner_voice": 1,
"audio": 2,
}
# 图层默认 PiP 位置(相对输出画布的偏移)
_PIP_SCALE = 0.25 # PiP 占主画面的比例
# ── 统一渲染引擎 ─────────────────────────────────────────────────────────────
class UnifiedRenderService:
"""统一渲染引擎。
输入 EditPlan + EditPlanClips + 素材路径映射,按时间线+图层执行渲染。
"""
def __init__(
self,
plan: Any, # EditPlan
clips: list[Any], # list[EditPlanClip]
asset_path_map: dict[str, Path], # asset_id → local_path
work_dir: Path,
*,
output_width: int = DEFAULT_OUTPUT_WIDTH,
output_height: int = DEFAULT_OUTPUT_HEIGHT,
output_fps: int = DEFAULT_FPS,
transition_duration: float = DEFAULT_TRANSITION_DURATION,
):
self.plan = plan
self.clips = clips
self.asset_path_map = asset_path_map
self.work_dir = work_dir
self.output_width = output_width
self.output_height = output_height
self.output_fps = output_fps
self.transition_duration = transition_duration
def render(self) -> RenderResult:
"""执行渲染,返回 RenderResult.
优化路径:
- 单图层单 clip → 直通模式(-vf),性能最优
- 其他情况 → 完整 filter_complex 渲染
字幕渲染流程:
1. 视频主渲染(直通或完整链路)
2. 如有 title/subtitle,叠加 ASS 字幕
音频后处理:
1. 主图层音频 concat 拼接
2. 独立音频轨 amix 混入
3. 合并到输出视频
Raises:
ValueError: 没有可渲染的片段时抛出
"""
t_start = time.time()
# 1. 解析 clips → ResolvedClips(跳过无素材的 clip
resolved = self._resolve_clips()
if not resolved:
raise ValueError("没有可渲染的片段(所有片段素材缺失或下载失败)")
# 2. 分组为 RenderLayers
layers = self._group_clips_into_layers(resolved)
# 3. 计算视频总时长(用于字幕显示时长)
video_duration = self._estimate_total_duration(layers)
# 4. 生成 ASS 字幕文件(如果有 title/subtitle 配置)
ass_path = self._maybe_generate_ass(video_duration)
# 灰度埋点:开始渲染
layer_roles = [layer.role for layer in layers]
clip_counts = {layer.role: len(layer.clips) for layer in layers}
logger.info(
"[unified-render] start render: plan_id=%s clip_count=%d layers=%s clip_counts=%s",
self.plan.id,
len(resolved),
layer_roles,
clip_counts,
)
# 5. 视频主渲染
t_video_start = time.time()
video_only_path = self.work_dir / f"rendered_{self.plan.id}_video.mp4"
output_path = self.work_dir / f"rendered_{self.plan.id}.mp4"
is_pass_through = self._can_use_pass_through(layers)
pass_through_has_audio = False
used_stream_copy = False
if is_pass_through:
# 先尝试 stream copy 优化(无重编码,性能提升 10 倍+)
# 条件不满足或失败时回退到带滤镜的直通渲染
stream_copy_ok = self._try_render_stream_copy(
layers, output_path, ass_path=ass_path, video_duration=video_duration
)
if stream_copy_ok:
used_stream_copy = True
# stream copy 模式下,直接探测输出是否有音频
clip = layers[0].clips[0]
info = probe_video_info(str(clip.local_path))
pass_through_has_audio = info.get("has_audio", True)
else:
# 回退到带滤镜的直通渲染
pass_through_has_audio = self._render_pass_through(
layers,
output_path,
ass_path=ass_path,
video_duration=video_duration,
)
else:
filter_complex, input_args = self._build_filter_complex(layers, ass_path=ass_path)
self._execute_ffmpeg(filter_complex, input_args, video_only_path)
t_video_end = time.time()
video_render_ms = int((t_video_end - t_video_start) * 1000)
logger.info(
"[unified-render] video render done: plan_id=%s duration_ms=%d pass_through=%s stream_copy=%s",
self.plan.id,
video_render_ms,
is_pass_through,
used_stream_copy,
)
# 6. 音频后处理混音(直通场景已合并处理,跳过)
t_audio_start = time.time()
audio_mix_ms = 0
has_audio = False
if is_pass_through:
# 直通场景已在一次调用中完成视频+音频
has_audio = pass_through_has_audio
else:
ctx = RenderContext(work_dir=self.work_dir, plan_id=self.plan.id)
audio_path = mix_audio(ctx, layers, video_duration)
t_audio_end = time.time()
audio_mix_ms = int((t_audio_end - t_audio_start) * 1000)
has_audio = audio_path is not None
if has_audio:
logger.info(
"[unified-render] audio mix done: plan_id=%s duration_ms=%d",
self.plan.id,
audio_mix_ms,
)
# 7. 合并音视频
merge_audio_video(ctx, video_only_path, audio_path, output_path)
else:
# 无音频,直接用无声视频
import shutil
shutil.copy2(video_only_path, output_path)
# 8. 探测输出
duration, file_size, width, height = self._probe_output(output_path)
t_total = int((time.time() - t_start) * 1000)
logger.info(
"[unified-render] render done: plan_id=%s total_ms=%d video_ms=%d audio_ms=%d "
"output_duration=%.2fs output_size=%d resolution=%dx%d has_audio=%s",
self.plan.id,
t_total,
video_render_ms,
audio_mix_ms if has_audio else 0,
duration,
file_size,
width,
height,
has_audio,
)
return RenderResult(
output_path=output_path,
duration=duration,
file_size=file_size,
width=width,
height=height,
)
def _estimate_total_duration(self, layers: list[RenderLayer]) -> float:
"""估算视频总时长(用于字幕等需要)。
取主图层(main/broll/background)的总时长,转场重叠按 transition_duration 估算。
"""
# 找主图层(第一个有视频内容的图层)
main_layer = None
for role in ("main", "broll", "background"):
for layer in layers:
if layer.role == role:
main_layer = layer
break
if main_layer:
break
if not main_layer or not main_layer.clips:
return 0.0
total = sum(UnifiedRenderService._clip_effective_duration(c) for c in main_layer.clips)
# 减去转场重叠时间(粗略估算)
n_clips = len(main_layer.clips)
if n_clips > 1:
total -= (n_clips - 1) * self.transition_duration
return max(0.1, total)
def _maybe_generate_ass(self, video_duration: float) -> Path | None:
"""根据 plan.config 生成 ASS 字幕文件。
Returns:
ASS 文件路径,没有字幕时返回 None
"""
config = self.plan.config or {}
title_cfg = config.get("title", {}) or {}
subtitle_cfg = config.get("subtitle", {}) or {}
title_enabled = title_cfg.get("enabled", True)
subtitle_enabled = subtitle_cfg.get("enabled", True)
title_text = title_cfg.get("text", "") or ""
subtitle_text = subtitle_cfg.get("text", "") or ""
has_title = title_enabled and bool(title_text.strip())
has_subtitle = subtitle_enabled and bool(subtitle_text.strip())
if not has_title and not has_subtitle:
return None
ass_path = self.work_dir / f"subtitles_{self.plan.id}.ass"
generate_ass_subtitles(
ass_path,
video_width=self.output_width,
video_height=self.output_height,
video_duration=video_duration,
title_text=title_text,
title_config=title_cfg,
subtitle_text=subtitle_text,
subtitle_config=subtitle_cfg,
)
logger.info(
"生成字幕: plan_id=%s title=%s subtitle=%s ass=%s",
self.plan.id,
has_title,
has_subtitle,
ass_path,
)
return ass_path
def _can_use_pass_through(self, layers: list[RenderLayer]) -> bool:
"""判断是否可以走直通优化路径。
条件:
1. 只有 1 个图层
2. 该图层是视频图层(main/broll/background),不是 overlay/corner_voice/audio
3. 该图层只有 1 个 clip(无转场需求)
"""
if len(layers) != 1:
return False
layer = layers[0]
if layer.role not in ("main", "broll", "background"):
return False
if len(layer.clips) != 1:
return False
return True
def _can_use_stream_copy(
self,
clip: ResolvedClip,
*,
ass_path: Path | None = None,
video_duration: float = 0.0,
) -> tuple[bool, str]:
"""判断是否可以走 stream copy(流拷贝,不重编码)。
性能提升:10 倍以上(典型场景从 20s → 1-2s)。
条件:
1. 视频编码为 h264(输出目标也是 h264)
2. 像素格式为 yuv420p
3. 分辨率与输出一致(不需要 scale/crop
4. 帧率与输出一致(误差 < 0.1fps
5. 无字幕叠加(字幕需要滤镜)
6. 无 trim 需求(或 trim 后恰好等于原时长)
7. 无转场、无特效(单 clip 直通已保证)
Returns:
(是否可以 copy, 原因说明)
"""
# 有字幕 → 需要滤镜 → 不能 copy
if ass_path is not None:
return False, "有字幕叠加"
# 探测输入视频参数
info = probe_video_info(str(clip.local_path))
# 编码必须是 h264
if info.get("video_codec", "") != "h264":
return False, f"视频编码不是h264: {info.get('video_codec', 'unknown')}"
# 像素格式必须是 yuv420p
if info.get("pix_fmt", "") != "yuv420p":
return False, f"像素格式不是yuv420p: {info.get('pix_fmt', 'unknown')}"
# 分辨率必须一致
if info.get("width", 0) != self.output_width or info.get("height", 0) != self.output_height:
return False, (
f"分辨率不匹配: "
f"{info.get('width', 0)}x{info.get('height', 0)} "
f"vs {self.output_width}x{self.output_height}"
)
# 帧率必须一致(误差 < 0.1fps
fps_diff = abs(info.get("fps", 0) - self.output_fps)
if fps_diff > 0.1:
return False, f"帧率不匹配: {info.get('fps', 0)} vs {self.output_fps}"
# 检查是否需要 trim
effective_duration = UnifiedRenderService._clip_effective_duration(clip)
if effective_duration > 0:
# 有 trim 需求但视频时长足够,可用 -ss/-t 实现 copy trim
input_duration = info.get("duration", 0)
if input_duration <= 0:
return False, "无法探测输入时长"
# trim 起始点 + 目标时长 <= 输入时长
start_time = getattr(clip, "start_time", 0) or 0
if start_time + effective_duration > input_duration + 0.1:
return False, "trim 超出输入时长"
# video_duration 截断
if video_duration > 0 and effective_duration > 0:
final_duration = min(effective_duration, video_duration)
if final_duration != effective_duration:
# 也需要截断,但 -t 可以 copy 模式下用
pass
return True, "所有条件满足"
def _try_render_stream_copy(
self,
layers: list[RenderLayer],
output_path: Path,
*,
ass_path: Path | None = None,
video_duration: float = 0.0,
) -> bool:
"""尝试 stream copy 渲染,成功返回 True,失败返回 False(调用方回退到重编码)。
stream copy 模式:不重编码,直接拷贝视频/音频流,性能提升 10 倍+。
仅用于单 clip 直通场景且满足 copy 条件。
"""
clip = layers[0].clips[0]
role = layers[0].role
# 判断是否满足 copy 条件
can_copy, reason = self._can_use_stream_copy(clip, ass_path=ass_path, video_duration=video_duration)
if not can_copy:
logger.info(
"[unified-render] stream_copy 跳过: plan_id=%s reason=%s",
self.plan.id,
reason,
)
return False
# 构建 copy 命令
command = [
FFMPEG_BIN,
"-y",
]
# trim 支持(-ss 放在 -i 前 = input seeking,速度更快但精度稍差;
# 放在 -i 后 = output seeking,精度高但慢)
# 这里用 output seeking 保证精度,反正 copy 模式已经很快了
start_time = getattr(clip, "start_time", 0) or 0
effective_duration = UnifiedRenderService._clip_effective_duration(clip)
command.extend(["-i", str(clip.local_path)])
if start_time > 0:
command.extend(["-ss", f"{start_time:.3f}"])
# 计算最终时长
final_duration = effective_duration
if video_duration > 0 and (final_duration <= 0 or final_duration > video_duration):
final_duration = video_duration
if final_duration > 0:
command.extend(["-t", f"{final_duration:.3f}"])
# 流拷贝
command.extend(
[
"-c:v",
"copy",
"-c:a",
"copy",
"-movflags",
"+faststart",
str(output_path),
]
)
logger.info(
"[unified-render] stream_copy 渲染: plan_id=%s clip=%s role=%s duration=%.2fs",
self.plan.id,
clip.clip_id,
role,
final_duration,
)
try:
run_ffmpeg(command)
# 验证输出文件存在且有大小
if output_path.exists() and output_path.stat().st_size > 0:
logger.info(
"[unified-render] stream_copy 成功: plan_id=%s size=%d",
self.plan.id,
output_path.stat().st_size,
)
return True
else:
logger.warning("[unified-render] stream_copy 输出为空: plan_id=%s", self.plan.id)
return False
except (subprocess.CalledProcessError, subprocess.TimeoutExpired) as e:
logger.warning(
"[unified-render] stream_copy 失败,回退到重编码: plan_id=%s error=%s",
self.plan.id,
str(e)[:200],
)
# 清理可能的损坏输出文件
if output_path.exists():
try:
output_path.unlink()
except OSError as unlink_err:
logger.warning(
"[unified-render] 损坏输出文件清理失败: path=%s error=%s",
output_path,
unlink_err,
)
return False
def _render_pass_through(
self,
layers: list[RenderLayer],
output_path: Path,
*,
ass_path: Path | None = None,
video_duration: float = 0.0,
) -> bool:
"""单图层单 clip 直通渲染(使用 -vf 而非 -filter_complex),一次性输出带音频的最终视频。
性能优化:
- 避免 filter_complex 的解析和调度开销,单clip场景性能提升 ~30%
- 视频+音频一次FFmpeg调用完成,省去后续音频提取+音视频合并两次调用
Args:
layers: 图层列表(只有1个图层1个clip)
output_path: 输出文件路径
ass_path: ASS 字幕文件路径,有则叠加字幕
video_duration: 视频总时长(用于截断音频,0表示不额外截断)
Returns:
True 表示输出包含音频(近似判断,实际以输出文件为准)
"""
clip = layers[0].clips[0]
role = layers[0].role
# 构建视频滤镜链(与 _build_filter_complex 中预处理逻辑一致)
filters: list[str] = []
# trim
effective_duration = UnifiedRenderService._clip_effective_duration(clip)
if effective_duration > 0:
filters.append(f"trim=duration={effective_duration}")
filters.append("setpts=PTS-STARTPTS")
# scale + crop(铺满裁剪)
if role in ("overlay", "corner_voice"):
pip_w = int(self.output_width * _PIP_SCALE)
pip_h = int(self.output_height * _PIP_SCALE)
filters.append(f"scale={pip_w}:{pip_h}")
else:
# main / broll / background: 铺满裁剪
filters.append(f"scale={self.output_width}:{self.output_height}" ":force_original_aspect_ratio=increase")
filters.append(f"crop={self.output_width}:{self.output_height}")
filters.append("setpts=PTS-STARTPTS")
filters.append(f"fps={self.output_fps}")
filters.append("format=yuv420p")
# 字幕叠加
if ass_path is not None:
ass_filter_path = str(ass_path).replace("\\", "/").replace(":", "\\:")
filters.append(f"subtitles='{ass_filter_path}'")
vf_str = ",".join(filters)
# 最终输出时长:取 clip 有效时长和 video_duration 的较小值
final_duration = effective_duration
if video_duration > 0 and (final_duration <= 0 or final_duration > video_duration):
final_duration = video_duration
command = [
FFMPEG_BIN,
"-y",
"-i",
str(clip.local_path),
"-vf",
vf_str,
"-c:v",
"libx264",
"-crf",
"23",
"-preset",
"medium",
"-pix_fmt",
"yuv420p",
"-movflags",
"+faststart",
]
# 音频处理:background 通常是图片无音频,跳过;其他编码为 aac
# background 以外的视频素材,默认带音频
has_audio = role != "background"
if has_audio:
command.extend(["-c:a", "aac", "-b:a", "128k"])
# 统一截断时长(同时作用于视频和音频)
if final_duration > 0:
command.extend(["-t", f"{final_duration:.3f}"])
command.append(str(output_path))
logger.info(
"直通渲染: plan_id=%s clip=%s role=%s duration=%.2fs has_audio=%s",
self.plan.id,
clip.clip_id,
role,
effective_duration,
has_audio,
)
try:
run_ffmpeg(command)
except subprocess.CalledProcessError as e:
logger.error(
"直通渲染失败: plan_id=%s clip=%s exit_code=%d\nvf=%s",
self.plan.id,
clip.clip_id,
e.returncode,
vf_str[:2000],
)
raise
return has_audio
# ── 内部方法 ──────────────────────────────────────────────────────────────
def _resolve_clips(self) -> list[ResolvedClip]:
"""将 EditPlanClip 列表解析为 ResolvedClip 列表。
跳过 asset_id 为空或在 asset_path_map 中找不到的片段。
"""
resolved: list[ResolvedClip] = []
for clip in self.clips:
asset_id = clip.asset_id
if not asset_id:
logger.warning("片段无素材: clip_id=%s", clip.id)
continue
local_path = self.asset_path_map.get(asset_id)
if local_path is None or not local_path.exists():
logger.warning("素材不存在: clip_id=%s asset_id=%s", clip.id, asset_id)
continue
# 探测实际时长
try:
actual_duration = probe_duration(local_path)
except Exception:
actual_duration = clip.duration or 5.0
rc = ResolvedClip(
clip_id=clip.id,
asset_id=asset_id,
local_path=local_path,
clip_type=clip.clip_type,
order=clip.order,
start_time=clip.start_time,
duration=clip.duration,
transition_effect=clip.transition_effect or "cut",
config=clip.config or {},
actual_duration=actual_duration,
)
resolved.append(rc)
# 按 order 排序
resolved.sort(key=lambda c: c.order)
return resolved
def _group_clips_into_layers(self, resolved_clips: list[ResolvedClip]) -> list[RenderLayer]:
"""将 ResolvedClips 分组为 RenderLayers。
分组规则见 _resolve_layer_role 函数文档。
"""
layer_map: dict[str, RenderLayer] = {}
for clip in resolved_clips:
role = _resolve_layer_role(clip.clip_type, clip.config)
if role not in layer_map:
z = _LAYER_Z_INDEX.get(role, 0)
layer_map[role] = RenderLayer(role=role, z_index=z)
layer_map[role].clips.append(clip)
# 每个 layer 内的 clips 按 order 排序
for layer in layer_map.values():
layer.clips.sort(key=lambda c: c.order)
# 计算 PiP 位置
pip_width = int(self.output_width * _PIP_SCALE)
margin = 20 # 边距
if "overlay" in layer_map:
layer_map["overlay"].position = (
self.output_width - pip_width - margin,
margin,
)
if "corner_voice" in layer_map:
layer_map["corner_voice"].position = (
self.output_width - pip_width - margin,
margin,
)
# 按 z_index 排序返回
layers = sorted(layer_map.values(), key=lambda lyr: lyr.z_index)
return layers
def _build_filter_complex(
self, layers: list[RenderLayer], *, ass_path: Path | None = None
) -> tuple[str, list[str]]:
"""构建 FFmpeg filter_complex 字符串和输入参数列表。
Args:
layers: 图层列表
ass_path: ASS 字幕文件路径,有则在最后叠加字幕
Returns:
(filter_complex_str, input_args_list)
input_args_list 是 ["-i", path1, "-i", path2, ...] 格式
"""
if not layers:
raise ValueError("没有可渲染的图层")
# 收集所有 clips(按图层顺序,同层按 order)
all_clips: list[ResolvedClip] = []
for layer in layers:
all_clips.extend(layer.clips)
# 构建输入参数
input_args: list[str] = []
clip_to_input_idx: dict[str, int] = {}
for i, clip in enumerate(all_clips):
input_args.extend(["-i", str(clip.local_path)])
clip_to_input_idx[clip.clip_id] = i
filter_parts: list[str] = []
# Step 1: 预处理每个 clip — scale + setpts
# 为每个 clip 生成预处理后的标签 [v0], [v1], ...
preprocessed_labels: list[str] = []
for i, clip in enumerate(all_clips):
label = f"v{i}"
role = _resolve_layer_role(clip.clip_type, clip.config)
filters: list[str] = []
# trim — 始终将输出截断到有效时长,防止 xfade offset 与实际时长不匹配
effective_duration = UnifiedRenderService._clip_effective_duration(clip)
if effective_duration > 0:
filters.append(f"trim=duration={effective_duration}")
filters.append("setpts=PTS-STARTPTS")
# scale
if role in ("overlay", "corner_voice"):
pip_w = int(self.output_width * _PIP_SCALE)
pip_h = int(self.output_height * _PIP_SCALE)
filters.append(f"scale={pip_w}:{pip_h}")
elif role == "background":
filters.append(
f"scale={self.output_width}:{self.output_height}" ":force_original_aspect_ratio=increase"
)
filters.append(f"crop={self.output_width}:{self.output_height}")
else:
# main / broll: 铺满裁剪(scale to cover + center crop
# 对齐链路A编辑器合成行为,与主流短视频平台一致
filters.append(
f"scale={self.output_width}:{self.output_height}" ":force_original_aspect_ratio=increase"
)
filters.append(f"crop={self.output_width}:{self.output_height}")
filters.append("setpts=PTS-STARTPTS")
filters.append(f"fps={self.output_fps}")
filter_str = f"[{i}:v]{','.join(filters)}[{label}]"
filter_parts.append(filter_str)
preprocessed_labels.append(label)
# Step 2: 同层 clips 用 xfade 串联
layer_output_labels: dict[str, str] = {}
for layer in layers:
layer_clip_indices = [all_clips.index(c) for c in layer.clips]
layer_labels = [preprocessed_labels[i] for i in layer_clip_indices]
# 使用 trim 后的有效时长,与 Step 1 的 trim=duration 保持一致
layer_durations = [UnifiedRenderService._clip_effective_duration(all_clips[i]) for i in layer_clip_indices]
layer_transitions = [all_clips[i].transition_effect for i in layer_clip_indices]
if len(layer_labels) == 1:
# 单 clip 层,直接使用预处理标签
layer_output_labels[layer.role] = layer_labels[0]
else:
# 多 clip 层,用 xfade 串联
out_label = f"{layer.role}_merged"
xfade_filter, _ = build_xfade_filter_chain(
clip_durations=layer_durations,
clip_video_labels=layer_labels,
transitions=layer_transitions,
transition_duration=self.transition_duration,
output_label=out_label,
)
if xfade_filter:
filter_parts.append(xfade_filter)
layer_output_labels[layer.role] = out_label
# Step 3: 合成各层
# 找到主层 — background 优先作为底图,其次 broll / main
final_video_label = None
if "background" in layer_output_labels:
final_video_label = layer_output_labels["background"]
# b_roll / main 叠加到 background 上
for role in ("broll", "main"):
if role in layer_output_labels:
base_label = layer_output_labels[role]
combined_label = f"combined_{role}"
filter_parts.append(
f"[{final_video_label}][{base_label}]" f"overlay=(W-w)/2:(H-h)/2[{combined_label}]"
)
final_video_label = combined_label
else:
# 无 background 时,取 broll 或 main 作为基础
for role in ("broll", "main"):
if role in layer_output_labels:
final_video_label = layer_output_labels[role]
break
if final_video_label is None:
# 没有任何主层,使用第一个层
final_video_label = layer_output_labels[layers[0].role]
# 叠加 overlay 层
for layer in layers:
if layer.role in ("overlay", "corner_voice"):
if layer.role not in layer_output_labels:
continue
overlay_label = layer_output_labels[layer.role]
x, y = layer.position or (
self.output_width - int(self.output_width * _PIP_SCALE) - 20,
20,
)
combined_label = f"combined_{layer.role}"
filter_parts.append(f"[{final_video_label}][{overlay_label}]" f"overlay={x}:{y}[{combined_label}]")
final_video_label = combined_label
# 叠加字幕(如有)+ 最终像素格式
if ass_path is not None:
ass_filter_path = str(ass_path).replace("\\", "/").replace(":", "\\:")
filter_parts.append(f"[{final_video_label}]subtitles='{ass_filter_path}',format=yuv420p[final_video]")
else:
filter_parts.append(f"[{final_video_label}]format=yuv420p[final_video]")
filter_complex = ";".join(filter_parts)
return filter_complex, input_args
def _execute_ffmpeg(
self,
filter_complex: str,
input_args: list[str],
output_path: Path,
) -> None:
"""执行 FFmpeg 渲染命令。
失败时记录完整 filter_complex 以便排查(如 exit code 183)。
"""
command = [
FFMPEG_BIN,
"-y",
*input_args,
"-filter_complex",
filter_complex,
"-map",
"[final_video]",
"-c:v",
"libx264",
"-crf",
"23",
"-preset",
"medium",
"-pix_fmt",
"yuv420p",
"-movflags",
"+faststart",
str(output_path),
]
logger.info(
"执行渲染: plan_id=%s inputs=%d output=%s",
self.plan.id,
input_args.count("-i"),
output_path,
)
try:
run_ffmpeg(command)
except subprocess.CalledProcessError as e:
# 额外记录 filter_complex,方便排查滤镜链构建问题
logger.error(
"渲染失败: plan_id=%s exit_code=%d\nfilter_complex:\n%s",
self.plan.id,
e.returncode,
filter_complex[:5000],
)
raise
def _probe_output(self, output_path: Path) -> tuple[float, int, int, int]:
"""探测输出文件的时长、大小、宽高.
Returns:
(duration, file_size, width, height)
"""
info = probe_video_info(str(output_path))
file_size = output_path.stat().st_size if output_path.exists() else 0
return (
info["duration"],
file_size,
info["width"],
info["height"],
)
@staticmethod
def _clip_effective_duration(clip: ResolvedClip) -> float:
"""计算 clip 的有效时长."""
if clip.duration > 0:
return min(clip.duration, clip.actual_duration) if clip.actual_duration > 0 else clip.duration
return clip.actual_duration if clip.actual_duration > 0 else 0.0