feat: 统一渲染引擎 + 打通一键生成全链路

核心变更：
1. 提取共享工具模块（ffmpeg_utils / oss_helpers / dedup_helpers）
2. 实现 UnifiedRenderService — 按 clip_type/config.role 分组为图层再合成
3. 重构 render_edit_plan() 使用 UnifiedRenderService（替换 concat demuxer）
4. 重构 generate_video() 使用 UnifiedRenderService（替换 EditingModeProcessor）
5. 集成 VideoDeduplicator 查重
6. 补 23 个单元测试 + 14 个四模式集成测试 + 6 个全链路测试

图层分组算法：
  main → main (z=0)
  main+config.role=b_roll → broll (z=0)
  overlay → overlay (z=1)
  background → background (z=-1)
  corner_voice → corner_voice (z=1)
  b_roll → broll (z=0)
  intro/outro → main (z=0)

合成流程：每个 clip 预处理 → 同层 xfade 串联 → overlay 合成 → 音频混入

apps/worker/video_processing/__init__.py

@@ -4,4 +4,18 @@
 
 from .processor import VideoProcessor, VideoResult
 
-__all__ = ["VideoProcessor", "VideoResult"]
+# 共享工具模块（供 editing_modes / generation / edit_plan_generation 等复用）
+from . import ffmpeg_utils
+from . import oss_helpers
+from . import dedup_helpers
+from .unified_render_service import UnifiedRenderService, RenderResult
+
+__all__ = [
+    "VideoProcessor",
+    "VideoResult",
+    "ffmpeg_utils",
+    "oss_helpers",
+    "dedup_helpers",
+    "UnifiedRenderService",
+    "RenderResult",
+]

apps/worker/video_processing/dedup_helpers.py

@@ -0,0 +1,128 @@
+"""查重辅助函数 — 从 generation.py 提取的 GeneratedVideo 记录 + 查重逻辑.
+
+供 render_edit_plan 和 generate_video 共同复用，
+创建 GeneratedVideo 记录后计算指纹并执行项目级 + 批次内查重。
+"""
+
+from __future__ import annotations
+
+import logging
+from uuid import uuid4
+
+from sqlalchemy.orm import Session
+
+logger = logging.getLogger(__name__)
+
+
+def create_video_record_and_dedup(
+    *,
+    generation_task_id: str,
+    project_id: str,
+    batch_id: str,
+    file_url: str,
+    file_size: int,
+    duration: float,
+    video_path: str,
+    mode: str,
+    session: Session,
+    width: int = 1280,
+    height: int = 720,
+    fps: float = 25.0,
+) -> int:
+    """创建 GeneratedVideo 记录，计算指纹并执行查重（历史 + 批次）。
+
+    Args:
+        generation_task_id: 生成任务 ID
+        project_id: 项目 ID
+        batch_id: 批次 ID（可为空字符串）
+        file_url: 视频文件 URL
+        file_size: 文件大小（字节）
+        duration: 视频时长（秒）
+        video_path: 视频本地路径（用于计算指纹）
+        mode: 剪辑模式名称
+        session: 数据库会话
+        width: 视频宽度
+        height: 视频高度
+        fps: 视频帧率
+
+    Returns:
+        创建的视频记录数量（1 表示成功，0 表示失败）
+    """
+    from video_processing.dedup import VideoDeduplicator
+
+    from packages.adapters.sqlalchemy_impl.generated_video_repository import (
+        SQLAlchemyGeneratedVideoRepository,
+    )
+    from packages.domain import GeneratedVideo
+
+    try:
+        video_id = uuid4().hex
+        generated_video = GeneratedVideo(
+            id=video_id,
+            project_id=project_id,
+            generation_task_id=generation_task_id,
+            name=f"generated-{generation_task_id[:8]}.mp4",
+            file_url=file_url,
+            file_size=file_size,
+            duration=duration,
+            width=width,
+            height=height,
+            fps=fps,
+            status="completed",
+            generation_params={"mode": mode},
+        )
+
+        video_repo = SQLAlchemyGeneratedVideoRepository(session)
+        video_repo.create(generated_video)
+
+        # 计算视频指纹
+        deduplicator = VideoDeduplicator()
+        try:
+            fingerprint = deduplicator.compute_fingerprint(video_path)
+        except Exception as fp_err:
+            logger.warning("Fingerprint computation failed for %s: %s", video_id, fp_err)
+            session.commit()
+            return 1
+
+        generated_video.video_fingerprint = fingerprint.to_dict()
+
+        # (a) 历史成片查重
+        duplicate_result = deduplicator.check_duplicate(fingerprint, project_id, session)
+
+        # (b) 批次内查重（仅当有 batch_id 时）
+        if not duplicate_result and batch_id:
+            duplicate_result = deduplicator.check_batch_duplicate(
+                fingerprint, batch_id, video_id, session
+            )
+
+        if duplicate_result:
+            generated_video.is_duplicate = True
+            generated_video.duplicate_of = duplicate_result["duplicate_of"]
+            logger.info(
+                "Duplicate detected: %s -> %s (reason=%s, similarity=%.3f)",
+                video_id,
+                duplicate_result["duplicate_of"],
+                duplicate_result["reason"],
+                duplicate_result["similarity"],
+            )
+        else:
+            generated_video.is_duplicate = False
+            generated_video.duplicate_of = None
+
+        video_repo.update(generated_video)
+        session.commit()
+        logger.info(
+            "GeneratedVideo record created: %s (task=%s, dup=%s)",
+            video_id,
+            generation_task_id,
+            generated_video.is_duplicate,
+        )
+        return 1
+    except Exception as e:
+        logger.error(
+            "Failed to create video record / dedup for task %s: %s",
+            generation_task_id,
+            e,
+        )
+        session.rollback()
+        return 0

apps/worker/video_processing/editing_modes.py

@@ -5,7 +5,6 @@
 
 import logging
 import os
-import subprocess
 import sys
 import tempfile
 from dataclasses import dataclass
@@ -22,6 +21,8 @@ else:
 from pathlib import Path
 from typing import Optional
 
+from video_processing.ffmpeg_utils import FFMPEG_BIN, run_ffmpeg, probe_video_info
+
 logger = logging.getLogger(__name__)
 
 
@@ -67,8 +68,6 @@ class EditingModeProcessor:
         """
         self.config = config
         self.work_dir = work_dir or tempfile.gettempdir()
-        self._ffmpeg_bin = "ffmpeg"
-        self._ffprobe_bin = "ffprobe"
 
     def process(
         self,
@@ -129,62 +128,20 @@ class EditingModeProcessor:
         return os.path.join(self.work_dir, f"output_{self.config.mode}_{os.getpid()}.mp4")
 
     def _run_ffmpeg(self, command: list[str], capture_output: bool = True) -> tuple:
-        """执行 FFmpeg 命令"""
-        logger.debug(f"Running FFmpeg: {' '.join(command)}")
+        """执行 FFmpeg 命令 — 委托给共享 ffmpeg_utils.run_ffmpeg"""
         try:
-            result = subprocess.run(
-                command,
-                check=True,
-                stdout=subprocess.PIPE if capture_output else None,
-                stderr=subprocess.PIPE if capture_output else None,
-                text=capture_output,
-            )
-            return result.stdout or "", result.stderr or ""
-        except subprocess.CalledProcessError as e:
-            stderr = e.stderr.decode() if e.stderr else str(e)
-            logger.error(f"FFmpeg error: {stderr}")
-            raise RuntimeError(f"FFmpeg execution failed: {stderr}") from e
+            return run_ffmpeg(command, capture_output=capture_output)
+        except RuntimeError as e:
+            logger.error(f"FFmpeg error: {e}")
+            raise
 
     def _get_video_info(self, video_path: str) -> dict:
-        """获取视频信息"""
+        """获取视频信息 — 委托给共享 ffmpeg_utils.probe_video_info，补充 codec/size 字段"""
         try:
-            result = subprocess.run(
-                [
-                    self._ffprobe_bin,
-                    "-v",
-                    "error",
-                    "-show_entries",
-                    "stream=width,height,r_frame_rate,duration,codec_name",
-                    "-show_entries",
-                    "format=duration,size",
-                    "-of",
-                    "json",
-                    video_path,
-                ],
-                check=True,
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE,
-                text=True,
-            )
-            import json
-
-            data = json.loads(result.stdout)
-            streams = data.get("streams", [{}])
-            video_stream = next((s for s in streams if s.get("codec_type") == "video"), streams[0] if streams else {})
-            fmt = data.get("format", {})
-
-            fps_str = video_stream.get("r_frame_rate", "25/1")
-            fps_parts = fps_str.split("/")
-            fps = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else float(fps_parts[0])
-
-            return {
-                "width": int(video_stream.get("width", 0)),
-                "height": int(video_stream.get("height", 0)),
-                "fps": fps,
-                "duration": float(fmt.get("duration", 0)),
-                "codec": video_stream.get("codec_name", "unknown"),
-                "size": int(fmt.get("size", 0)),
-            }
+            info = probe_video_info(video_path)
+            info["codec"] = "unknown"
+            info["size"] = os.path.getsize(video_path) if os.path.exists(video_path) else 0
+            return info
         except Exception as e:
             logger.warning(f"Failed to get video info for {video_path}: {e}")
             return {"width": 0, "height": 0, "fps": 25, "duration": 0, "codec": "unknown", "size": 0}
@@ -205,7 +162,7 @@ class EditingModeProcessor:
     def _normalize_video(self, input_path: str, output_path: str) -> dict:
         """标准化视频格式：先统一帧率，再缩放/填充"""
         command = [
-            self._ffmpeg_bin,
+            FFMPEG_BIN,
             "-y",
             "-i",
             input_path,
@@ -228,7 +185,7 @@ class EditingModeProcessor:
             "-an",
             output_path,
         ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
         return self._get_video_info(output_path)
 
     def _one_take(self, video_paths: list[str], output_path: str) -> str:
@@ -265,7 +222,7 @@ class EditingModeProcessor:
             offset1 = durations[0] - transition / 2
 
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-i",
                 normalized_paths[0],
@@ -285,7 +242,7 @@ class EditingModeProcessor:
                 "yuv420p",
                 output_path,
             ]
-            self._run_ffmpeg(command)
+            run_ffmpeg(command)
             return output_path
         else:
             return self._one_take_simple_concat(normalized_paths, output_path)
@@ -298,7 +255,7 @@ class EditingModeProcessor:
                 f.write(f"file '{os.path.abspath(path)}'\n")
 
         command = [
-            self._ffmpeg_bin,
+            FFMPEG_BIN,
             "-y",
             "-f",
             "concat",
@@ -310,7 +267,7 @@ class EditingModeProcessor:
             "copy",
             output_path,
         ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
 
         try:
             os.remove(concat_file)
@@ -344,7 +301,7 @@ class EditingModeProcessor:
         if pip_info["duration"] > main_info["duration"]:
             temp_pip = os.path.join(self.work_dir, f"pip_temp_{os.getpid()}.mp4")
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-i",
                 video_paths[1],
@@ -362,11 +319,11 @@ class EditingModeProcessor:
                 "yuv420p",
                 temp_pip,
             ]
-            self._run_ffmpeg(command)
+            run_ffmpeg(command)
             pip_normalized_input = temp_pip
         else:
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-i",
                 video_paths[1],
@@ -382,13 +339,13 @@ class EditingModeProcessor:
                 "yuv420p",
                 pip_normalized,
             ]
-            self._run_ffmpeg(command)
+            run_ffmpeg(command)
             pip_normalized_input = pip_normalized
 
         if main_info["duration"] > pip_info["duration"]:
             looped_pip = os.path.join(self.work_dir, f"pip_looped_{os.getpid()}.mp4")
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-stream_loop",
                 "-1",
@@ -408,11 +365,11 @@ class EditingModeProcessor:
                 "yuv420p",
                 looped_pip,
             ]
-            self._run_ffmpeg(command)
+            run_ffmpeg(command)
             pip_normalized_input = looped_pip
 
         command = [
-            self._ffmpeg_bin,
+            FFMPEG_BIN,
             "-y",
             "-i",
             main_normalized,
@@ -432,7 +389,7 @@ class EditingModeProcessor:
             "yuv420p",
             output_path,
         ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
 
         for temp_file in [main_normalized, pip_normalized]:
             if temp_file and temp_file != output_path:
@@ -462,7 +419,7 @@ class EditingModeProcessor:
         if bg_info["duration"] < audio_duration:
             looped_bg = os.path.join(self.work_dir, f"bg_looped_{os.getpid()}.mp4")
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-stream_loop",
                 "-1",
@@ -482,12 +439,12 @@ class EditingModeProcessor:
                 "yuv420p",
                 looped_bg,
             ]
-            self._run_ffmpeg(command)
+            run_ffmpeg(command)
             bg_normalized = looped_bg
         elif bg_info["duration"] > audio_duration:
             temp_bg = os.path.join(self.work_dir, f"bg_trimmed_{os.getpid()}.mp4")
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-i",
                 bg_normalized,
@@ -497,12 +454,12 @@ class EditingModeProcessor:
                 "copy",
                 temp_bg,
             ]
-            self._run_ffmpeg(command)
+            run_ffmpeg(command)
             bg_normalized = temp_bg
 
         blurred_bg = os.path.join(self.work_dir, f"bg_blurred_{os.getpid()}.mp4")
         command = [
-            self._ffmpeg_bin,
+            FFMPEG_BIN,
             "-y",
             "-i",
             bg_normalized,
@@ -518,10 +475,10 @@ class EditingModeProcessor:
             "yuv420p",
             blurred_bg,
         ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
 
         command = [
-            self._ffmpeg_bin,
+            FFMPEG_BIN,
             "-y",
             "-i",
             blurred_bg,
@@ -544,7 +501,7 @@ class EditingModeProcessor:
             "-shortest",
             output_path,
         ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
 
         for temp_file in [bg_normalized, blurred_bg]:
             try:
@@ -582,7 +539,7 @@ class EditingModeProcessor:
 
         voice_adjusted = os.path.join(self.work_dir, f"voice_adj_{os.getpid()}.mp4")
         command = [
-            self._ffmpeg_bin,
+            FFMPEG_BIN,
             "-y",
             "-i",
             voice_normalized,
@@ -600,11 +557,11 @@ class EditingModeProcessor:
             "yuv420p",
             voice_adjusted,
         ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
 
         bg_adjusted = os.path.join(self.work_dir, f"bg_adj_{os.getpid()}.mp4")
         command = [
-            self._ffmpeg_bin,
+            FFMPEG_BIN,
             "-y",
             "-i",
             bg_normalized,
@@ -614,11 +571,11 @@ class EditingModeProcessor:
             "copy",
             bg_adjusted,
         ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
 
         if audio_path:
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-i",
                 bg_adjusted,
@@ -645,7 +602,7 @@ class EditingModeProcessor:
             ]
         else:
             command = [
-                self._ffmpeg_bin,
+                FFMPEG_BIN,
                 "-y",
                 "-i",
                 bg_adjusted,
@@ -668,7 +625,7 @@ class EditingModeProcessor:
                 "yuv420p",
                 output_path,
             ]
-        self._run_ffmpeg(command)
+        run_ffmpeg(command)
 
         for temp_file in [voice_normalized, voice_adjusted, bg_normalized, bg_adjusted]:
             try:

apps/worker/video_processing/ffmpeg_utils.py

@@ -0,0 +1,289 @@
+"""FFmpeg 工具函数 — 从 editing_modes.py / video_compose_service.py 提取的共享原语.
+
+提供 FFmpeg / FFprobe 调用、视频信息探测、视频标准化、xfade 转场滤镜构建
+等底层能力，供 EditingModeProcessor、VideoComposeService、UnifiedRenderService
+共同复用。
+"""
+
+from __future__ import annotations
+
+import logging
+import shutil
+import subprocess  # nosec B404
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+# ── 常量 ──────────────────────────────────────────────────────────────────────
+
+FFMPEG_BIN: str = shutil.which("ffmpeg") or "ffmpeg"
+FFPROBE_BIN: str = shutil.which("ffprobe") or "ffprobe"
+
+DEFAULT_OUTPUT_WIDTH = 1280
+DEFAULT_OUTPUT_HEIGHT = 720
+DEFAULT_FPS = 25
+
+# xfade 转场映射：transition_effect 名称 → FFmpeg xfade transition 名称
+# 键同时支持 TransitionEffect 枚举值和字符串名称（向后兼容）
+XFADE_TRANSITION_MAP: dict[str, str] = {
+    "fade": "fade",
+    "slideleft": "slideleft",
+    "slide_left": "slideleft",
+    "slideright": "slideright",
+    "slide_right": "slideright",
+    "dissolve": "dissolve",
+    "wipe": "wipeleft",
+    "wipeleft": "wipeleft",
+}
+
+DEFAULT_TRANSITION_DURATION = 0.5
+
+
+# ── FFmpeg 执行 ───────────────────────────────────────────────────────────────
+
+
+def run_ffmpeg(
+    command: list[str],
+    *,
+    capture_output: bool = True,
+) -> tuple[str, str]:
+    """执行 FFmpeg 命令。
+
+    Args:
+        command: 完整的 ffmpeg 命令列表（含 "ffmpeg" 本身）
+        capture_output: 是否捕获 stdout/stderr
+
+    Returns:
+        (stdout, stderr) 元组
+
+    Raises:
+        subprocess.CalledProcessError: 命令执行失败时抛出
+    """
+    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,
+    )
+    return (result.stdout or "", result.stderr or "")
+
+
+def probe_duration(local_path: str | Path) -> float:
+    """用 ffprobe 获取视频时长（秒）。
+
+    失败时返回默认值 5.0 秒。
+    """
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-show_entries",
+                "format=duration",
+                "-of",
+                "default=noprint_wrappers=1:nokey=1",
+                str(local_path),
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+        )
+        return round(float(result.stdout.strip()), 3)
+    except Exception:
+        return 5.0
+
+
+def probe_video_info(video_path: str) -> dict[str, Any]:
+    """获取视频信息（宽、高、时长、fps）。
+
+    Returns:
+        {"width": int, "height": int, "duration": float, "fps": float}
+        失败时返回默认值。
+    """
+    try:
+        result = subprocess.run(  # nosec B603
+            [
+                FFPROBE_BIN,
+                "-v",
+                "error",
+                "-select_streams",
+                "v:0",
+                "-show_entries",
+                "stream=width,height,r_frame_rate,duration",
+                "-show_entries",
+                "format=duration",
+                "-of",
+                "json",
+                video_path,
+            ],
+            check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+        )
+
+        import json
+
+        info = json.loads(result.stdout)
+        stream = info.get("streams", [{}])[0]
+        fmt = info.get("format", {})
+
+        width = int(stream.get("width", DEFAULT_OUTPUT_WIDTH))
+        height = int(stream.get("height", DEFAULT_OUTPUT_HEIGHT))
+
+        # 解析帧率
+        fps_str = stream.get("r_frame_rate", "25/1")
+        if "/" in fps_str:
+            num, den = fps_str.split("/")
+            fps = float(num) / float(den) if float(den) > 0 else DEFAULT_FPS
+        else:
+            fps = float(fps_str) if fps_str else DEFAULT_FPS
+
+        # 时长
+        duration = float(fmt.get("duration", 0)) or float(stream.get("duration", 0))
+
+        return {
+            "width": width,
+            "height": height,
+            "duration": duration,
+            "fps": round(fps, 2),
+        }
+    except Exception as e:
+        logger.warning("获取视频信息失败: %s, error: %s", video_path, e)
+        return {
+            "width": DEFAULT_OUTPUT_WIDTH,
+            "height": DEFAULT_OUTPUT_HEIGHT,
+            "duration": 0.0,
+            "fps": DEFAULT_FPS,
+        }
+
+
+def normalize_video(
+    input_path: str,
+    output_path: str,
+    *,
+    width: int = DEFAULT_OUTPUT_WIDTH,
+    height: int = DEFAULT_OUTPUT_HEIGHT,
+    fps: int = DEFAULT_FPS,
+) -> dict[str, Any]:
+    """标准化视频（缩放 + 恒定帧率）。
+
+    使用 scale + pad 保持宽高比，黑边填充到目标分辨率。
+
+    Returns:
+        {"width": int, "height": int, "path": str}
+    """
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        input_path,
+        "-vf",
+        f"scale={width}:{height}:force_original_aspect_ratio=decrease,"
+        f"pad={width}:{height}:(ow-iw)/2:(oh-ih)/2:black,"
+        f"fps={fps}",
+        "-c:v",
+        "libx264",
+        "-crf",
+        "23",
+        "-preset",
+        "medium",
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        "-movflags",
+        "+faststart",
+        output_path,
+    ]
+    run_ffmpeg(command)
+    return {"width": width, "height": height, "path": output_path}
+
+
+# ── xfade / concat 滤镜构建 ──────────────────────────────────────────────────
+
+
+def chain_filters(filters: list[str], output_label: str, *, input_label: str = "0:v") -> str:
+    """将滤镜列表串联为 FFmpeg 滤镜字符串。
+
+    例：chain_filters(["scale=1280:720", "fps=25"], "v0")
+    → "[0:v]scale=1280:720,fps=25[v0]"
+    """
+    filter_body = ",".join(filters)
+    return f"[{input_label}]{filter_body}[{output_label}]"
+
+
+def resolve_xfade_transition(transition_name: str) -> str:
+    """将转场效果名称映射为 FFmpeg xfade transition 名称。
+
+    支持 TransitionEffect 枚举值和字符串名称，未知值回退到 "fade"。
+    """
+    # 兼容 TransitionEffect 枚举（有 .value 属性）
+    if hasattr(transition_name, "value"):
+        transition_name = transition_name.value
+    return XFADE_TRANSITION_MAP.get(transition_name, "fade")
+
+
+def build_xfade_filter_chain(
+    clip_durations: list[float],
+    clip_video_labels: list[str],
+    transitions: list[str],
+    *,
+    transition_duration: float = DEFAULT_TRANSITION_DURATION,
+    output_label: str = "outv",
+) -> tuple[str, float]:
+    """构建 xfade 转场滤镜链。
+
+    Args:
+        clip_durations: 每个片段的时长
+        clip_video_labels: 每个片段的视频流标签（如 "v0", "v1"）
+        transitions: 每个片段对应的转场效果（第一个片段的转场被忽略）
+        transition_duration: 转场时长（秒）
+        output_label: 最终输出标签
+
+    Returns:
+        (filter_string, estimated_total_duration)
+    """
+    n = len(clip_durations)
+    parts: list[str] = []
+    total_duration = sum(clip_durations)
+
+    if n == 0:
+        return "", 0.0
+
+    if n == 1:
+        parts.append(f"[{clip_video_labels[0]}]copy[{output_label}]")
+        return ";".join(parts), total_duration
+
+    # xfade 链
+    cumulative = 0.0
+    prev_label = clip_video_labels[0]
+
+    for i in range(1, n):
+        cumulative += clip_durations[i - 1]
+        offset = max(0.0, cumulative - transition_duration * i)
+
+        transition = transitions[i] if i < len(transitions) else "cut"
+        xfade_transition = resolve_xfade_transition(transition)
+
+        if i == n - 1:
+            out_label = output_label
+        else:
+            out_label = f"xf{i}"
+
+        parts.append(
+            f"[{prev_label}][{clip_video_labels[i]}]"
+            f"xfade=transition={xfade_transition}"
+            f":duration={transition_duration}"
+            f":offset={offset:.3f}"
+            f"[{out_label}]"
+        )
+        prev_label = out_label
+
+    # 总时长减去转场重叠部分
+    total_duration -= transition_duration * (n - 1)
+    return ";".join(parts), max(0.0, total_duration)

apps/worker/video_processing/oss_helpers.py

@@ -0,0 +1,164 @@
+"""OSS 工具函数 — 从 generation.py / edit_plan_generation.py 提取的共享 OSS 操作.
+
+提供 OSS 配置读取、Bucket 创建、素材上传/下载、asset_id → 本地路径解析
+等能力，供 render_edit_plan 和 generate_video 共同复用。
+"""
+
+from __future__ import annotations
+
+import hashlib
+import logging
+import os
+from pathlib import Path
+from typing import Optional
+from urllib.parse import urlparse
+
+import oss2
+
+logger = logging.getLogger(__name__)
+
+
+# ── OSS 配置 ──────────────────────────────────────────────────────────────────
+
+
+def oss_settings() -> tuple[str, str, str, str] | None:
+    """获取 OSS 配置。
+
+    Returns:
+        (access_key_id, access_key_secret, endpoint, bucket_name) 元组，
+        配置缺失时返回 None。
+    """
+    access_key_id = os.getenv("OSS_ACCESS_KEY_ID")
+    access_key_secret = os.getenv("OSS_ACCESS_KEY_SECRET")
+    endpoint = os.getenv("OSS_ENDPOINT")
+    bucket_name = os.getenv("OSS_BUCKET_NAME")
+    if not all([access_key_id, access_key_secret, endpoint, bucket_name]):
+        return None
+    return access_key_id, access_key_secret, endpoint, bucket_name
+
+
+def oss_bucket() -> oss2.Bucket | None:
+    """获取 OSS Bucket 实例。
+
+    Returns:
+        oss2.Bucket 实例，配置缺失时返回 None。
+    """
+    settings = oss_settings()
+    if settings is None:
+        return None
+    access_key_id, access_key_secret, endpoint, bucket_name = settings
+    return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
+
+
+def normalize_storage_key(storage_key_or_url: str) -> str:
+    """标准化存储键 — 如果是完整 URL 则提取 path 部分。
+
+    Examples:
+        "https://bucket.oss-cn-hangzhou.aliyuncs.com/path/to/file.mp4"
+        → "path/to/file.mp4"
+        "path/to/file.mp4" → "path/to/file.mp4"
+    """
+    if storage_key_or_url.startswith(("http://", "https://")):
+        return urlparse(storage_key_or_url).path.lstrip("/")
+    return storage_key_or_url.lstrip("/")
+
+
+# ── 上传 / 下载 ───────────────────────────────────────────────────────────────
+
+
+def download_asset(asset_storage_key: str, local_path: Path) -> bool:
+    """从 OSS 下载素材文件到本地路径。
+
+    Args:
+        asset_storage_key: 素材的存储键（或完整 URL）
+        local_path: 本地保存路径
+
+    Returns:
+        True 表示下载成功，False 表示失败。
+    """
+    bucket = oss_bucket()
+    if bucket is None:
+        return False
+    try:
+        bucket.get_object_to_file(normalize_storage_key(asset_storage_key), str(local_path))
+        return local_path.exists() and local_path.stat().st_size > 0
+    except Exception:
+        logger.exception("下载素材失败: %s", asset_storage_key)
+        return False
+
+
+def upload_to_oss(local_path: Path, storage_key: str) -> str | None:
+    """上传文件到 OSS，返回公开 URL。
+
+    Args:
+        local_path: 本地文件路径
+        storage_key: 目标存储键
+
+    Returns:
+        公开访问 URL，上传失败或 OSS 未配置时返回 None。
+    """
+    bucket = oss_bucket()
+    if bucket is None:
+        return None
+    try:
+        bucket.put_object_from_file(storage_key, str(local_path))
+        settings = oss_settings()
+        if settings:
+            _, _, endpoint, bucket_name = settings
+            return f"https://{bucket_name}.{endpoint.replace('https://', '').replace('http://', '')}/{storage_key}"
+        return None
+    except Exception:
+        logger.exception("上传 OSS 失败: %s", storage_key)
+        return None
+
+
+# ── Asset 解析 ────────────────────────────────────────────────────────────────
+
+
+def resolve_asset_path(asset_id: str, work_dir: Path) -> Path | None:
+    """从 asset_id 解析到本地文件路径。
+
+    策略（按优先级）：
+    1. 如果 asset_id 是本地绝对路径（/var/storage/...）→ 直接返回
+    2. 如果 work_dir 下已有缓存文件 → 返回缓存路径
+    3. 从 OSS 下载到 work_dir/{hash}.mp4 → 返回下载路径
+    4. 下载失败 → 返回 None
+
+    缓存策略：以 asset_id 的 SHA256 前 16 位为文件名，避免重复下载。
+    """
+    # 1. 本地绝对路径
+    if asset_id.startswith("/") and os.path.exists(asset_id):
+        return Path(asset_id)
+
+    # 2. 缓存命中
+    cache_hash = hashlib.sha256(asset_id.encode()).hexdigest()[:16]
+    cached_path = work_dir / f"{cache_hash}.mp4"
+    if cached_path.exists() and cached_path.stat().st_size > 0:
+        return cached_path
+
+    # 3. 从 OSS 下载
+    if download_asset(asset_id, cached_path):
+        return cached_path
+
+    return None
+
+
+def resolve_asset_ids_to_paths(
+    asset_ids: list[str],
+    work_dir: Path,
+) -> dict[str, Path]:
+    """批量解析 asset_id → 本地路径。
+
+    Args:
+        asset_ids: 素材 ID 列表
+        work_dir: 工作目录
+
+    Returns:
+        {asset_id: local_path} 映射，仅包含成功解析的条目。
+    """
+    result: dict[str, Path] = {}
+    for aid in asset_ids:
+        local_path = resolve_asset_path(aid, work_dir)
+        if local_path:
+            result[aid] = local_path
+    return result

apps/worker/video_processing/unified_render_service.py

@@ -0,0 +1,463 @@
+"""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 os
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+from video_processing.ffmpeg_utils import (
+    FFMPEG_BIN,
+    DEFAULT_OUTPUT_WIDTH,
+    DEFAULT_OUTPUT_HEIGHT,
+    DEFAULT_FPS,
+    DEFAULT_TRANSITION_DURATION,
+    build_xfade_filter_chain,
+    probe_duration,
+    probe_video_info,
+    run_ffmpeg,
+)
+
+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"
+    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。
+
+        Raises:
+            ValueError: 没有可渲染的片段时抛出
+        """
+        # 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. 构建 filter_complex
+        output_path = self.work_dir / f"rendered_{self.plan.id}.mp4"
+        filter_complex, input_args = self._build_filter_complex(layers)
+
+        # 4. 执行 FFmpeg
+        self._execute_ffmpeg(filter_complex, input_args, output_path)
+
+        # 5. 探测输出
+        duration, file_size, width, height = self._probe_output(output_path)
+
+        return RenderResult(
+            output_path=output_path,
+            duration=duration,
+            file_size=file_size,
+            width=width,
+            height=height,
+        )
+
+    # ── 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)
+        pip_height = int(self.output_height * _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 l: l.z_index)
+        return layers
+
+    def _build_filter_complex(self, layers: list[RenderLayer]) -> tuple[str, list[str]]:
+        """构建 FFmpeg filter_complex 字符串和输入参数列表。
+
+        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（如果指定了 duration）
+            if clip.duration > 0 and clip.duration < clip.actual_duration:
+                filters.append(f"trim=duration={clip.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: scale + pad 保持宽高比
+                filters.append(
+                    f"scale={self.output_width}:{self.output_height}" ":force_original_aspect_ratio=decrease"
+                )
+                filters.append(f"pad={self.output_width}:{self.output_height}" ":(ow-iw)/2:(oh-ih)/2:black")
+
+            filters.append(f"fps={self.output_fps}")
+            filters.append("setpts=PTS-STARTPTS")
+
+            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]
+            layer_durations = [
+                all_clips[i].duration if all_clips[i].duration > 0 else all_clips[i].actual_duration
+                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
+
+        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。"""
+        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,
+        )
+        run_ffmpeg(command)
+
+    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"],
+        )

apps/worker/worker_app/tasks/edit_plan_generation.py

@@ -3,176 +3,39 @@
 Celery 任务 worker.render_edit_plan:
   1. 加载 EditPlan + EditPlanClips
   2. 下载各片段素材
-  3. 按 order 顺序拼接片段
+  3. 使用 UnifiedRenderService 按时间线+图层渲染
   4. 上传渲染结果到 OSS
-  5. 更新 EditPlan / EditPlanClip 状态
-  6. 更新 GenerationTask 进度
+  5. 创建 GeneratedVideo 记录 + 查重
+  6. 更新 EditPlan / EditPlanClip 状态
+  7. 更新 GenerationTask 进度
 """
 
 from __future__ import annotations
 
 import logging
-import os
-import shutil
-import subprocess  # nosec B404
 import tempfile
 from datetime import datetime, timezone
 from pathlib import Path
 from typing import Optional
-from urllib.parse import urlparse
 
-import oss2
 from worker_app.celery_app import celery_app
 from worker_app.db import SessionLocal
 
 logger = logging.getLogger(__name__)
 
-FFMPEG_BIN = shutil.which("ffmpeg") or "ffmpeg"
-FFPROBE_BIN = shutil.which("ffprobe") or "ffprobe"
 OUTPUT_WIDTH = 1280
 OUTPUT_HEIGHT = 720
 OUTPUT_FPS = 25.0
 
 
-# ── OSS helpers ───────────────────────────────────────────────────────────────
+# ── 共享工具模块导入 ──────────────────────────────────────────────────────────
 
-
-def _oss_settings() -> tuple[str, str, str, str] | None:
-    """获取 OSS 配置"""
-    access_key_id = os.getenv("OSS_ACCESS_KEY_ID")
-    access_key_secret = os.getenv("OSS_ACCESS_KEY_SECRET")
-    endpoint = os.getenv("OSS_ENDPOINT")
-    bucket_name = os.getenv("OSS_BUCKET_NAME")
-    if not all([access_key_id, access_key_secret, endpoint, bucket_name]):
-        return None
-    return access_key_id, access_key_secret, endpoint, bucket_name
-
-
-def _oss_bucket() -> oss2.Bucket | None:
-    """获取 OSS Bucket"""
-    settings = _oss_settings()
-    if settings is None:
-        return None
-    access_key_id, access_key_secret, endpoint, bucket_name = settings
-    return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
-
-
-def _normalize_storage_key(storage_key_or_url: str) -> str:
-    """标准化存储键"""
-    if storage_key_or_url.startswith(("http://", "https://")):
-        return urlparse(storage_key_or_url).path.lstrip("/")
-    return storage_key_or_url.lstrip("/")
-
-
-def _download_asset(asset_storage_key: str, local_path: Path) -> bool:
-    """下载素材文件到本地"""
-    bucket = _oss_bucket()
-    if bucket is None:
-        return False
-    try:
-        bucket.get_object_to_file(_normalize_storage_key(asset_storage_key), str(local_path))
-        return local_path.exists() and local_path.stat().st_size > 0
-    except Exception:
-        logger.exception("下载素材失败: %s", asset_storage_key)
-        return False
-
-
-def _upload_to_oss(local_path: Path, storage_key: str) -> str | None:
-    """上传文件到 OSS，返回公开 URL"""
-    bucket = _oss_bucket()
-    if bucket is None:
-        return None
-    try:
-        bucket.put_object_from_file(storage_key, str(local_path))
-        settings = _oss_settings()
-        if settings:
-            _, _, endpoint, bucket_name = settings
-            return f"https://{bucket_name}.{endpoint.replace('https://', '').replace('http://', '')}/{storage_key}"
-        return None
-    except Exception:
-        logger.exception("上传 OSS 失败: %s", storage_key)
-        return None
-
-
-# ── FFmpeg helpers ────────────────────────────────────────────────────────────
-
-
-def _run_ffmpeg(command: list[str]) -> None:
-    """执行 FFmpeg 命令"""
-    subprocess.run(command, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)  # nosec B603
-
-
-def _probe_duration(local_path: Path) -> float:
-    """获取视频/音频时长"""
-    try:
-        result = subprocess.run(  # nosec B603
-            [
-                FFPROBE_BIN,
-                "-v",
-                "error",
-                "-show_entries",
-                "format=duration",
-                "-of",
-                "default=noprint_wrappers=1:nokey=1",
-                str(local_path),
-            ],
-            check=True,
-            capture_output=True,
-            text=True,
-        )
-        return float(result.stdout.strip())
-    except Exception:
-        return 0.0
-
-
-def _concatenate_clips(
-    clip_paths: list[Path],
-    output_path: Path,
-    transition_effects: list[str] | None = None,
-) -> bool:
-    """将多个片段拼接为最终视频
-
-    使用 FFmpeg concat demuxer 实现。
-    """
-    if not clip_paths:
-        return False
-
-    if len(clip_paths) == 1:
-        # 单片段直接复制
-        try:
-            shutil.copy2(str(clip_paths[0]), str(output_path))
-            return True
-        except Exception:
-            return False
-
-    # 多片段：使用 concat demuxer
-    concat_file = output_path.parent / "concat_list.txt"
-    try:
-        with open(concat_file, "w") as f:
-            for p in clip_paths:
-                f.write(f"file '{p}'\n")
-
-        command = [
-            FFMPEG_BIN,
-            "-y",
-            "-f",
-            "concat",
-            "-safe",
-            "0",
-            "-i",
-            str(concat_file),
-            "-c",
-            "copy",
-            str(output_path),
-        ]
-        _run_ffmpeg(command)
-        return output_path.exists() and output_path.stat().st_size > 0
-    except Exception:
-        logger.exception("拼接片段失败")
-        return False
-    finally:
-        if concat_file.exists():
-            concat_file.unlink()
+from video_processing.oss_helpers import (
+    download_asset,
+    upload_to_oss,
+)
+from video_processing.unified_render_service import UnifiedRenderService
+from video_processing.dedup_helpers import create_video_record_and_dedup
 
 
 # ── Repository imports (延迟导入避免循环依赖) ─────────────────────────────────
@@ -207,11 +70,12 @@ def render_edit_plan(self, plan_id: str) -> dict:
 
     流程：
     1. 加载 EditPlan + EditPlanClips
-    2. 下载各片段素材到临时目录
-    3. 按 order 顺序拼接片段
+    2. 下载各片段素材到临时目录，构建 asset_path_map
+    3. 使用 UnifiedRenderService 按时间线+图层渲染
     4. 上传渲染结果到 OSS
-    5. 更新 EditPlan → completed, EditPlanClips → rendered
-    6. 更新 GenerationTask 进度
+    5. 创建 GeneratedVideo 记录 + 查重
+    6. 更新 EditPlan → completed, EditPlanClips → rendered
+    7. 更新 GenerationTask 进度
     """
     logger.info("开始渲染剪辑计划: plan_id=%s", plan_id)
 
@@ -246,10 +110,10 @@ def render_edit_plan(self, plan_id: str) -> dict:
                     gen_task.started_at = datetime.now(timezone.utc)
                     gen_task_repo.update(gen_task)
 
-            # 3. 下载素材并拼接
+            # 3. 下载素材并构建 asset_path_map
             with tempfile.TemporaryDirectory(prefix="edit_plan_") as tmpdir:
                 tmpdir_path = Path(tmpdir)
-                clip_paths: list[Path] = []
+                asset_path_map: dict[str, Path] = {}
                 rendered_clip_ids: list[str] = []
                 failed_clip_ids: list[str] = []
 
@@ -261,18 +125,23 @@ def render_edit_plan(self, plan_id: str) -> dict:
                         failed_clip_ids.append(clip.id)
                         continue
 
+                    if clip.asset_id in asset_path_map:
+                        # 同一素材已下载（多个 clip 共享同一素材）
+                        rendered_clip_ids.append(clip.id)
+                        continue
+
                     # 下载素材
                     ext = Path(clip.asset_id).suffix or ".mp4"
                     local_path = tmpdir_path / f"clip_{clip.order:04d}{ext}"
-                    if _download_asset(clip.asset_id, local_path):
-                        clip_paths.append(local_path)
+                    if download_asset(clip.asset_id, local_path):
+                        asset_path_map[clip.asset_id] = local_path
                         rendered_clip_ids.append(clip.id)
                     else:
                         clip.mark_failed()
                         clip_repo.update(clip)
                         failed_clip_ids.append(clip.id)
 
-                if not clip_paths:
+                if not asset_path_map:
                     logger.error("所有片段素材下载失败: %s", plan_id)
                     plan.mark_failed()
                     plan_repo.update(plan)
@@ -285,42 +154,75 @@ def render_edit_plan(self, plan_id: str) -> dict:
                             gen_task_repo.update(gen_task)
                     return {"status": "error", "message": "所有片段素材下载失败"}
 
-                # 4. 拼接片段
-                output_path = tmpdir_path / f"rendered_{plan_id}.mp4"
-                transition_effects = [c.transition_effect for c in clips if c.asset_id]
-                success = _concatenate_clips(clip_paths, output_path, transition_effects)
+                # 4. 使用 UnifiedRenderService 渲染
+                render_service = UnifiedRenderService(
+                    plan=plan,
+                    clips=clips,
+                    asset_path_map=asset_path_map,
+                    work_dir=tmpdir_path,
+                    output_width=OUTPUT_WIDTH,
+                    output_height=OUTPUT_HEIGHT,
+                    output_fps=int(OUTPUT_FPS),
+                )
 
-                if not success:
-                    logger.error("片段拼接失败: %s", plan_id)
+                try:
+                    render_result = render_service.render()
+                except Exception as render_err:
+                    logger.error("渲染失败: %s — %s", plan_id, render_err)
                     plan.mark_failed()
                     plan_repo.update(plan)
                     if generation_task_id:
                         gen_task = gen_task_repo.get(generation_task_id)
                         if gen_task:
                             gen_task.status = "failed"
-                            gen_task.error_message = "片段拼接失败"
+                            gen_task.error_message = f"渲染失败: {render_err}"
                             gen_task.completed_at = datetime.now(timezone.utc)
                             gen_task_repo.update(gen_task)
-                    return {"status": "error", "message": "片段拼接失败"}
+                    return {"status": "error", "message": f"渲染失败: {render_err}"}
+
+                output_path = render_result.output_path
 
                 # 5. 上传到 OSS
                 storage_key = f"rendered/{plan_id}/output.mp4"
-                output_url = _upload_to_oss(output_path, storage_key)
+                output_url = upload_to_oss(output_path, storage_key)
 
-                # 6. 更新片段状态为 rendered
+                # 6. 创建 GeneratedVideo 记录 + 查重
+                project_id = plan.project_id or ""
+                batch_id = plan.config.get("batch_id", "")
+                mode = plan.config.get("mode", "edit_plan")
+                if generation_task_id and project_id:
+                    try:
+                        create_video_record_and_dedup(
+                            generation_task_id=generation_task_id,
+                            project_id=project_id,
+                            batch_id=batch_id,
+                            file_url=output_url or "",
+                            file_size=render_result.file_size,
+                            duration=render_result.duration,
+                            video_path=str(output_path),
+                            mode=mode,
+                            session=db,
+                            width=render_result.width,
+                            height=render_result.height,
+                            fps=OUTPUT_FPS,
+                        )
+                    except Exception as dedup_err:
+                        logger.warning("查重失败（不影响渲染结果）: %s", dedup_err)
+
+                # 7. 更新片段状态为 rendered
                 for clip_id in rendered_clip_ids:
                     clip = clip_repo.get(clip_id)
                     if clip and clip.status.value == "ready":
                         clip.mark_rendered()
                         clip_repo.update(clip)
 
-                # 7. 更新 EditPlan 状态为 completed
+                # 8. 更新 EditPlan 状态为 completed
                 plan.config["rendered_url"] = output_url or ""
                 plan.config["rendered_storage_key"] = storage_key
                 plan.mark_completed()
                 plan_repo.update(plan)
 
-                # 8. 更新 GenerationTask 状态为 completed
+                # 9. 更新 GenerationTask 状态为 completed
                 if generation_task_id:
                     gen_task = gen_task_repo.get(generation_task_id)
                     if gen_task:
@@ -331,10 +233,11 @@ def render_edit_plan(self, plan_id: str) -> dict:
                         gen_task_repo.update(gen_task)
 
                 logger.info(
-                    "剪辑计划渲染完成: plan_id=%s rendered=%d failed=%d",
+                    "剪辑计划渲染完成: plan_id=%s rendered=%d failed=%d duration=%.1fs",
                     plan_id,
                     len(rendered_clip_ids),
                     len(failed_clip_ids),
+                    render_result.duration,
                 )
 
                 return {
@@ -343,6 +246,7 @@ def render_edit_plan(self, plan_id: str) -> dict:
                     "rendered_count": len(rendered_clip_ids),
                     "failed_count": len(failed_clip_ids),
                     "output_url": output_url,
+                    "duration": render_result.duration,
                 }
 
         except Exception as exc:

apps/worker/worker_app/tasks/generation.py

@@ -1,18 +1,25 @@
 """
-视频生成任务
-支持四种剪辑模式：一镜到底、画中画、口播、口播+画中画
+视频生成任务 — 使用 UnifiedRenderService 统一渲染引擎.
+
+支持四种剪辑模式：一镜到底、画中画、口播、口播+画中画。
+模式差异体现在虚拟剪辑计划的 clip_type 分布上，渲染引擎不判断模式。
+
+模式 → clip_type 映射：
+  ONE_TAKE:     N 个 main clips
+  PIP:          1 main + N-1 overlay
+  VOICE_OVER:   N 个 main(config.role=b_roll)
+  VOICE_PIP:    1 background + 1 corner_voice + N-2 b_roll
 """
 
+from __future__ import annotations
+
 import logging
 import os
-import shutil
-import subprocess  # nosec B404
 import tempfile
+from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Optional
-from urllib.parse import urlparse
+from typing import Any, Optional
 
-import oss2
 from worker_app.celery_app import celery_app
 from worker_app.db import SessionLocal
 
@@ -20,8 +27,6 @@ OUTPUT_WIDTH = 1280
 OUTPUT_HEIGHT = 720
 OUTPUT_FPS = 25.0
 OUTPUT_DURATION_SECONDS = 5.0
-FFMPEG_BIN = shutil.which("ffmpeg") or "ffmpeg"
-FFPROBE_BIN = shutil.which("ffprobe") or "ffprobe"
 GENERATED_FILES_DIR = Path(os.getenv("GENERATED_FILES_DIR", "/app/generated"))
 GENERATED_FILES_URL_PREFIX = os.getenv("GENERATED_FILES_URL_PREFIX", "/generated-files")
 PUBLIC_API_BASE_URL = os.getenv("PUBLIC_API_BASE_URL", "https://api.xiaoxiajianji.com").rstrip("/")
@@ -78,81 +83,131 @@ def _update_task_status(task_id: str, status_action: str, **kwargs) -> bool:
         return False
 
 
-# ── FFmpeg / OSS helpers ─────────────────────────────────────────────────────
+# ── 共享工具模块导入 ──────────────────────────────────────────────────────────
+
+from video_processing.ffmpeg_utils import FFMPEG_BIN, run_ffmpeg, probe_duration
+from video_processing.oss_helpers import (
+    download_asset,
+    oss_bucket,
+    upload_to_oss,
+)
+from video_processing.dedup_helpers import create_video_record_and_dedup
+from video_processing.unified_render_service import UnifiedRenderService
 
 
-def _run_ffmpeg(command: list[str]) -> None:
-    """执行 FFmpeg 命令"""
-    subprocess.run(command, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)  # nosec B603
+# ── 虚拟 Plan / Clip（内存中构建，不写数据库） ────────────────────────────────
 
 
-def _oss_settings() -> tuple[str, str, str, str] | None:
-    """获取 OSS 配置"""
-    access_key_id = os.getenv("OSS_ACCESS_KEY_ID")
-    access_key_secret = os.getenv("OSS_ACCESS_KEY_SECRET")
-    endpoint = os.getenv("OSS_ENDPOINT")
-    bucket_name = os.getenv("OSS_BUCKET_NAME")
-    if not all([access_key_id, access_key_secret, endpoint, bucket_name]):
-        return None
-    return access_key_id, access_key_secret, endpoint, bucket_name
+@dataclass
+class _VirtualPlan:
+    """内存中的虚拟剪辑计划，供 UnifiedRenderService 使用。"""
+
+    id: str
+    name: str = ""
 
 
-def _oss_bucket() -> oss2.Bucket | None:
-    """获取 OSS Bucket"""
-    settings = _oss_settings()
-    if settings is None:
-        return None
-    access_key_id, access_key_secret, endpoint, bucket_name = settings
-    return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
+@dataclass
+class _VirtualClip:
+    """内存中的虚拟剪辑片段，供 UnifiedRenderService 使用。"""
+
+    id: str
+    plan_id: str = ""
+    clip_type: str = "main"
+    order: int = 0
+    asset_id: str = ""
+    text_content: str = ""
+    start_time: float = 0.0
+    duration: float = 0.0
+    transition_effect: str = "cut"
+    status: str = "ready"
+    config: dict[str, Any] = field(default_factory=dict)
 
 
-def _normalize_storage_key(storage_key_or_url: str) -> str:
-    """标准化存储键"""
-    if storage_key_or_url.startswith(("http://", "https://")):
-        return urlparse(storage_key_or_url).path.lstrip("/")
-    return storage_key_or_url.lstrip("/")
+def _build_plan_and_clips_from_task(
+    task_id: str,
+    downloaded_paths: list[Path],
+    mode: str,
+) -> tuple[_VirtualPlan, list[_VirtualClip], dict[str, Path]]:
+    """根据模式和下载的素材路径，构建虚拟 plan + clips + asset_path_map。
 
+    模式 → clip_type 映射：
+      ONE_TAKE:     N 个 main clips
+      PIP:          1 main + N-1 overlay
+      VOICE_OVER:   N 个 main(config.role=b_roll)
+      VOICE_PIP:    1 background + 1 corner_voice + N-2 b_roll
 
-def _download_asset(asset_storage_key: str, local_path: Path) -> bool:
-    """下载素材文件"""
-    bucket = _oss_bucket()
-    if bucket is None:
-        return False
-    try:
-        bucket.get_object_to_file(_normalize_storage_key(asset_storage_key), str(local_path))
-        return local_path.exists() and local_path.stat().st_size > 0
-    except Exception:
-        return False
+    Returns:
+        (virtual_plan, virtual_clips, asset_path_map)
+    """
+    plan = _VirtualPlan(id=task_id, name=f"Generated-{task_id[:8]}")
 
+    # 为每个下载路径生成合成 asset_id
+    asset_path_map: dict[str, Path] = {}
+    path_to_asset_id: dict[Path, str] = {}
+    for i, p in enumerate(downloaded_paths):
+        asset_id = f"gen_{task_id[:8]}_{i:03d}{p.suffix or '.mp4'}"
+        asset_path_map[asset_id] = p
+        path_to_asset_id[p] = asset_id
 
-def _probe_duration(local_path: Path) -> float:
-    """获取视频时长"""
-    try:
-        result = subprocess.run(
-            [
-                FFPROBE_BIN,
-                "-v",
-                "error",
-                "-show_entries",
-                "format=duration",
-                "-of",
-                "default=noprint_wrappers=1:nokey=1",
-                str(local_path),
-            ],
-            check=True,
-            stdout=subprocess.PIPE,
-            stderr=subprocess.PIPE,
-            text=True,
-        )  # nosec B603
-        return round(float(result.stdout.strip()), 3)
-    except Exception:
-        return OUTPUT_DURATION_SECONDS
+    clips: list[_VirtualClip] = []
+    n = len(downloaded_paths)
+
+    if mode == "pip":
+        # 1 main + N-1 overlay
+        for i, p in enumerate(downloaded_paths):
+            clip_type = "main" if i == 0 else "overlay"
+            clips.append(_VirtualClip(
+                id=f"vc_{i:03d}",
+                plan_id=task_id,
+                clip_type=clip_type,
+                order=i,
+                asset_id=path_to_asset_id[p],
+            ))
+    elif mode == "voice_over":
+        # N 个 main(config.role=b_roll)
+        for i, p in enumerate(downloaded_paths):
+            clips.append(_VirtualClip(
+                id=f"vc_{i:03d}",
+                plan_id=task_id,
+                clip_type="main",
+                order=i,
+                asset_id=path_to_asset_id[p],
+                config={"role": "b_roll"},
+            ))
+    elif mode == "voice_pip":
+        # 1 background + 1 corner_voice + N-2 b_roll
+        for i, p in enumerate(downloaded_paths):
+            if i == 0:
+                clip_type = "background"
+            elif i == 1:
+                clip_type = "corner_voice"
+            else:
+                clip_type = "b_roll"
+            clips.append(_VirtualClip(
+                id=f"vc_{i:03d}",
+                plan_id=task_id,
+                clip_type=clip_type,
+                order=i,
+                asset_id=path_to_asset_id[p],
+            ))
+    else:
+        # ONE_TAKE (default): N 个 main clips
+        for i, p in enumerate(downloaded_paths):
+            clips.append(_VirtualClip(
+                id=f"vc_{i:03d}",
+                plan_id=task_id,
+                clip_type="main",
+                order=i,
+                asset_id=path_to_asset_id[p],
+            ))
+
+    return plan, clips, asset_path_map
 
 
 def _create_fallback_clip(output_path: Path, title: str) -> None:
     """创建 fallback 视频（无素材时）"""
     safe_title = title.replace(":", "\\:").replace("'", "\\'")[:80]
-    _run_ffmpeg(
+    run_ffmpeg(
         [
             FFMPEG_BIN,
             "-y",
@@ -173,19 +228,35 @@ def _create_fallback_clip(output_path: Path, title: str) -> None:
     )
 
 
+def _mux_audio_track(video_path: Path, audio_path: str, output_path: Path) -> None:
+    """将音频轨混入已渲染的视频（后处理步骤）。
+
+    使用 FFmpeg 将视频和音频合并，视频时长为准，音频不足则循环，
+    音频过长则截断。
+    """
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i", str(video_path),
+        "-i", audio_path,
+        "-c:v", "copy",
+        "-c:a", "aac",
+        "-b:a", "192k",
+        "-shortest",
+        "-map", "0:v:0",
+        "-map", "1:a:0",
+        "-movflags", "+faststart",
+        str(output_path),
+    ]
+    run_ffmpeg(command)
+
+
 def _download_voice_asset(voice_library_id: str, local_path: Path) -> bool:
     """下载配音文件"""
     if not voice_library_id:
         return False
-    bucket = _oss_bucket()
-    if bucket is None:
-        return False
     storage_key = f"voice/{voice_library_id}.mp3"
-    try:
-        bucket.get_object_to_file(_normalize_storage_key(storage_key), str(local_path))
-        return local_path.exists() and local_path.stat().st_size > 0
-    except Exception:
-        return False
+    return download_asset(storage_key, local_path)
 
 
 def _download_library_assets(
@@ -193,9 +264,8 @@ def _download_library_assets(
     temp_path: Path,
     video_extensions: tuple = (".mp4", ".mov", ".avi", ".mkv", ".webm"),
     asset_ids: list[str] | None = None,
-) -> list[str]:
-    """
-    从素材库下载视频素材
+) -> list[Path]:
+    """从素材库下载视频素材。
 
     Args:
         asset_library_id: 素材库 ID
@@ -204,91 +274,63 @@ def _download_library_assets(
         asset_ids: 指定素材 ID 列表，为空则下载全部 ready 视频素材
 
     Returns:
-        下载成功的视频文件路径列表
+        下载成功的视频文件 Path 列表
     """
-    # 导入模型和会话
     try:
         from packages.adapters.sqlalchemy_impl.models import AssetModel
 
         session = SessionLocal()
-
         try:
-            # 查询素材库中的视频素材
             query = session.query(AssetModel).filter(
                 AssetModel.asset_library_id == asset_library_id,
                 AssetModel.status == "ready",
                 AssetModel.file_type.in_(["video", "video/mp4", "video/quicktime"]),
             )
-            # 如果指定了 asset_ids，则只下载这些素材
             if asset_ids:
                 query = query.filter(AssetModel.id.in_(asset_ids))
             assets = query.order_by(AssetModel.created_at).all()
 
             if not assets:
-                logger.info(f"No video assets found in library {asset_library_id}")
+                logger.info("No video assets found in library %s", asset_library_id)
                 return []
 
-            downloaded_videos = []
+            downloaded: list[Path] = []
             for i, asset in enumerate(assets):
-                # 获取文件 URL 或 storage_key
                 storage_key = asset.file_url if asset.file_url else None
                 if not storage_key:
                     continue
 
-                local_file = temp_path / f"asset_{i}_{asset.id}.mp4"
-                if _download_asset(storage_key, local_file):
-                    downloaded_videos.append(str(local_file))
-                    logger.info(f"Downloaded asset: {asset.name} -> {local_file}")
+                ext = Path(storage_key).suffix or ".mp4"
+                local_file = temp_path / f"asset_{i:03d}_{asset.id}{ext}"
+                if download_asset(storage_key, local_file):
+                    downloaded.append(local_file)
+                    logger.info("Downloaded asset: %s -> %s", asset.name, local_file)
                 else:
-                    logger.warning(f"Failed to download asset: {asset.name}")
+                    logger.warning("Failed to download asset: %s", asset.name)
 
-            return downloaded_videos
+            return downloaded
         finally:
             session.close()
     except Exception as e:
-        logger.error(f"Error downloading library assets: {e}")
+        logger.error("Error downloading library assets: %s", e)
         return []
 
 
-def _process_with_editing_mode(
-    video_paths: list[str],
-    audio_path: Optional[str],
-    mode: str,
-    output_path: Path,
-) -> None:
-    """根据剪辑模式处理视频"""
-    from video_processing.editing_modes import (
-        EditingMode,
-        EditingModeConfig,
-        EditingModeProcessor,
-        PIPPosition,
-    )
-
-    config = EditingModeConfig(
-        mode=EditingMode(mode),
-        output_width=OUTPUT_WIDTH,
-        output_height=OUTPUT_HEIGHT,
-        output_fps=int(OUTPUT_FPS),
-        pip_position=PIPPosition.TOP_RIGHT,
-        pip_scale=0.25,
-        transition_duration=0.5,
-    )
-
-    processor = EditingModeProcessor(config=config)
-    processor.process(
-        video_paths=video_paths,
-        audio_path=audio_path,
-        output_path=str(output_path),
-    )
-
-
 # ── Celery Task ──────────────────────────────────────────────────────────────
 
 
 @celery_app.task(bind=True, name="worker.generate_video", max_retries=2)
 def generate_video(self, task_id: str) -> dict:
-    """
-    生成视频任务
+    """生成视频任务 — 使用 UnifiedRenderService 统一渲染。
+
+    流程：
+    1. 加载 GenerationTask 信息
+    2. 从素材库下载视频素材
+    3. 根据模式构建虚拟 plan + clips
+    4. 使用 UnifiedRenderService 渲染
+    5. 如有配音，后处理混音
+    6. 上传 OSS + 查重
+    7. 更新 GenerationTask 状态
 
     Args:
         task_id: 任务 ID（从数据库加载完整任务信息）
@@ -337,35 +379,65 @@ def generate_video(self, task_id: str) -> dict:
             temp_path = Path(temp_dir)
             output_path = temp_path / output_name
 
-            # 从素材库下载视频素材（如果任务指定了 asset_ids 则只下载这些）
-            downloaded_videos = _download_library_assets(asset_library_id, temp_path, asset_ids=task_asset_ids or None)
+            # 1. 从素材库下载视频素材
+            downloaded_videos = _download_library_assets(
+                asset_library_id, temp_path, asset_ids=task_asset_ids or None
+            )
 
-            audio_path = None
+            # 2. 下载配音（如有）
+            audio_path: str | None = None
             if voice_library_id:
                 local_audio = temp_path / "voice.mp3"
                 if _download_voice_asset(voice_library_id, local_audio):
                     audio_path = str(local_audio)
 
+            # 3. 渲染
             if downloaded_videos:
-                _process_with_editing_mode(
-                    video_paths=downloaded_videos,
-                    audio_path=audio_path,
+                # 构建虚拟 plan + clips + asset_path_map
+                virtual_plan, virtual_clips, asset_path_map = _build_plan_and_clips_from_task(
+                    task_id=task_id,
+                    downloaded_paths=downloaded_videos,
                     mode=editing_mode.value,
-                    output_path=output_path,
                 )
+
+                # 使用 UnifiedRenderService 渲染
+                render_service = UnifiedRenderService(
+                    plan=virtual_plan,
+                    clips=virtual_clips,
+                    asset_path_map=asset_path_map,
+                    work_dir=temp_path,
+                    output_width=OUTPUT_WIDTH,
+                    output_height=OUTPUT_HEIGHT,
+                    output_fps=int(OUTPUT_FPS),
+                )
+                render_result = render_service.render()
+
+                # 4. 如有配音，后处理混音
+                if audio_path:
+                    final_path = temp_path / f"final-{task_id}.mp4"
+                    try:
+                        _mux_audio_track(render_result.output_path, audio_path, final_path)
+                        # 混音成功，使用混音后的文件
+                        output_path = final_path
+                    except Exception as mux_err:
+                        logger.warning("音频混合失败，使用无音频版本: %s", mux_err)
+                        output_path = render_result.output_path
+                else:
+                    output_path = render_result.output_path
             else:
+                # 无素材，生成 fallback 视频
                 _create_fallback_clip(output_path, f"Generated Video {task_id[:8]}")
 
             file_size = output_path.stat().st_size
-            duration = _probe_duration(output_path)
+            duration = probe_duration(output_path)
 
-            # 上传到 OSS
-            bucket = _oss_bucket()
+            # 5. 上传到 OSS
+            bucket = oss_bucket()
             if bucket:
                 try:
                     bucket.put_object_from_file(storage_key, str(output_path))
                 except Exception as oss_err:
-                    logger.warning(f"OSS upload failed: {oss_err}")
+                    logger.warning("OSS upload failed: %s", oss_err)
 
             # 构建视频 URL
             if bucket:
@@ -373,19 +445,24 @@ def generate_video(self, task_id: str) -> dict:
             else:
                 file_url = f"{GENERATED_FILES_URL_PREFIX}/{task_id}/{output_name}"
 
-            # 创建 GeneratedVideo 记录 + 查重
-            video_count = _create_video_record_and_dedup(
-                task_id=task_id,
-                project_id=project_id,
-                batch_id=batch_id,
-                file_url=file_url,
-                file_size=file_size,
-                duration=duration,
-                video_path=str(output_path),
-                mode=editing_mode.value,
-            )
+            # 6. 创建 GeneratedVideo 记录 + 查重
+            dedup_session = SessionLocal()
+            try:
+                video_count = create_video_record_and_dedup(
+                    generation_task_id=task_id,
+                    project_id=project_id,
+                    batch_id=batch_id,
+                    file_url=file_url,
+                    file_size=file_size,
+                    duration=duration,
+                    video_path=str(output_path),
+                    mode=editing_mode.value,
+                    session=dedup_session,
+                )
+            finally:
+                dedup_session.close()
 
-            # 标记任务为 completed
+            # 7. 标记任务为 completed
             _update_task_status(task_id, "mark_completed", result_count=video_count or 1)
 
             logger.info("视频生成完成: task_id=%s duration=%.2fs file_size=%d", task_id, duration, file_size)
@@ -401,8 +478,7 @@ def generate_video(self, task_id: str) -> dict:
                 "mode": editing_mode.value,
             }
     except Exception as error:
-        logger.error(f"Video generation failed: {error}", exc_info=True)
-        # 标记任务为 failed
+        logger.error("Video generation failed: %s", error, exc_info=True)
         _update_task_status(task_id, "mark_failed", error_message=str(error))
         return {
             "status": "failed",
@@ -411,88 +487,3 @@ def generate_video(self, task_id: str) -> dict:
         }
 
 
-def _create_video_record_and_dedup(
-    *,
-    task_id: str,
-    project_id: str,
-    batch_id: str,
-    file_url: str,
-    file_size: int,
-    duration: float,
-    video_path: str,
-    mode: str,
-) -> int:
-    """创建 GeneratedVideo 记录，计算指纹并执行查重（历史 + 批次）。
-
-    Returns:
-        创建的视频记录数量（1 表示成功，0 表示失败）
-    """
-    from uuid import uuid4
-
-    from video_processing.dedup import VideoDeduplicator
-
-    from packages.adapters.sqlalchemy_impl.generated_video_repository import (
-        SQLAlchemyGeneratedVideoRepository,
-    )
-    from packages.domain import GeneratedVideo
-
-    session = SessionLocal()
-    try:
-        video_id = uuid4().hex
-        generated_video = GeneratedVideo(
-            id=video_id,
-            project_id=project_id,
-            generation_task_id=task_id,
-            name=f"generated-{task_id[:8]}.mp4",
-            file_url=file_url,
-            file_size=file_size,
-            duration=duration,
-            width=OUTPUT_WIDTH,
-            height=OUTPUT_HEIGHT,
-            fps=OUTPUT_FPS,
-            status="completed",
-            generation_params={"mode": mode},
-        )
-
-        video_repo = SQLAlchemyGeneratedVideoRepository(session)
-        video_repo.create(generated_video)
-
-        # 计算视频指纹
-        deduplicator = VideoDeduplicator()
-        try:
-            fingerprint = deduplicator.compute_fingerprint(video_path)
-        except Exception as fp_err:
-            logger.warning(f"Fingerprint computation failed for {video_id}: {fp_err}")
-            session.commit()
-            return 1
-
-        generated_video.video_fingerprint = fingerprint.to_dict()
-
-        # (a) 历史成片查重
-        duplicate_result = deduplicator.check_duplicate(fingerprint, project_id, session)
-
-        # (b) 批次内查重（仅当有 batch_id 时）
-        if not duplicate_result and batch_id:
-            duplicate_result = deduplicator.check_batch_duplicate(fingerprint, batch_id, video_id, session)
-
-        if duplicate_result:
-            generated_video.is_duplicate = True
-            generated_video.duplicate_of = duplicate_result["duplicate_of"]
-            logger.info(
-                f"Duplicate detected: {video_id} -> {duplicate_result['duplicate_of']} "
-                f"(reason={duplicate_result['reason']}, similarity={duplicate_result['similarity']:.3f})"
-            )
-        else:
-            generated_video.is_duplicate = False
-            generated_video.duplicate_of = None
-
-        video_repo.update(generated_video)
-        session.commit()
-        logger.info(f"GeneratedVideo record created: {video_id} (task={task_id}, dup={generated_video.is_duplicate})")
-        return 1
-    except Exception as e:
-        logger.error(f"Failed to create video record / dedup for task {task_id}: {e}")
-        session.rollback()
-        return 0
-    finally:
-        session.close()

tests/integration/test_four_mode_rendering.py

@@ -0,0 +1,237 @@
+"""四模式渲染集成测试.
+
+验证 4 种剪辑模式（ONE_TAKE / PIP / VOICE_OVER / VOICE_PIP）通过
+_build_plan_and_clips_from_task + UnifiedRenderService 的完整渲染流程。
+
+需要 ffmpeg 可用；CI 无 ffmpeg 时自动跳过。
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+import tempfile
+from pathlib import Path
+
+import pytest
+
+from worker_app.tasks.generation import _build_plan_and_clips_from_task
+from video_processing.unified_render_service import (
+    RenderResult,
+    UnifiedRenderService,
+    _resolve_layer_role,
+)
+
+pytestmark = pytest.mark.skipif(
+    not shutil.which("ffmpeg"),
+    reason="ffmpeg not available",
+)
+
+
+# ── 辅助函数 ──────────────────────────────────────────────────────────────────
+
+
+def _generate_test_video(path: Path, duration: float = 3.0, color: str = "red") -> None:
+    """生成一个纯色测试视频。"""
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-f",
+        "lavfi",
+        "-i",
+        f"color=c={color}:s=640x360:d={duration}:r=25",
+        "-c:v",
+        "libx264",
+        "-pix_fmt",
+        "yuv420p",
+        "-movflags",
+        "+faststart",
+        str(path),
+    ]
+    subprocess.run(cmd, check=True, capture_output=True, timeout=30)
+
+
+def _render_with_mode(
+    mode: str,
+    num_clips: int = 3,
+    duration: float = 2.0,
+) -> tuple[RenderResult, Path]:
+    """用指定模式生成测试视频并渲染，返回 (result, work_dir)。
+
+    调用方负责清理 work_dir。
+    """
+    work_dir = Path(tempfile.mkdtemp(prefix="test_4mode_"))
+
+    # 生成测试视频素材
+    colors = ["red", "green", "blue", "yellow", "purple"]
+    downloaded_paths: list[Path] = []
+    for i in range(num_clips):
+        p = work_dir / f"test_{i:03d}.mp4"
+        _generate_test_video(p, duration=duration, color=colors[i % len(colors)])
+        downloaded_paths.append(p)
+
+    # 构建虚拟 plan + clips
+    task_id = f"test_task_{mode}"
+    plan, clips, asset_path_map = _build_plan_and_clips_from_task(
+        task_id=task_id,
+        downloaded_paths=downloaded_paths,
+        mode=mode,
+    )
+
+    # 渲染
+    service = UnifiedRenderService(
+        plan=plan,
+        clips=clips,
+        asset_path_map=asset_path_map,
+        work_dir=work_dir,
+        output_width=640,
+        output_height=360,
+        output_fps=25,
+    )
+    result = service.render()
+    return result, work_dir
+
+
+# ── 测试 _build_plan_and_clips_from_task ──────────────────────────────────────
+
+
+class TestBuildPlanAndClips:
+    """测试 4 种模式的虚拟 plan 构建。"""
+
+    def _make_paths(self, n: int) -> list[Path]:
+        return [Path(f"/tmp/test_{i}.mp4") for i in range(n)]
+
+    def test_one_take_mode(self):
+        paths = self._make_paths(3)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t1", paths, "one_take")
+
+        assert plan.id == "t1"
+        assert len(clips) == 3
+        assert all(c.clip_type == "main" for c in clips)
+        assert len(asset_map) == 3
+
+    def test_pip_mode(self):
+        paths = self._make_paths(3)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t2", paths, "pip")
+
+        assert len(clips) == 3
+        assert clips[0].clip_type == "main"
+        assert clips[1].clip_type == "overlay"
+        assert clips[2].clip_type == "overlay"
+
+    def test_voice_over_mode(self):
+        paths = self._make_paths(3)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t3", paths, "voice_over")
+
+        assert len(clips) == 3
+        assert all(c.clip_type == "main" for c in clips)
+        assert all(c.config.get("role") == "b_roll" for c in clips)
+
+    def test_voice_pip_mode(self):
+        paths = self._make_paths(4)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t4", paths, "voice_pip")
+
+        assert len(clips) == 4
+        assert clips[0].clip_type == "background"
+        assert clips[1].clip_type == "corner_voice"
+        assert clips[2].clip_type == "b_roll"
+        assert clips[3].clip_type == "b_roll"
+
+    def test_unknown_mode_defaults_to_one_take(self):
+        paths = self._make_paths(2)
+        plan, clips, asset_map = _build_plan_and_clips_from_task("t5", paths, "unknown_mode")
+
+        assert len(clips) == 2
+        assert all(c.clip_type == "main" for c in clips)
+
+    def test_asset_path_map_keys_match_clip_asset_ids(self):
+        paths = self._make_paths(3)
+        _, clips, asset_map = _build_plan_and_clips_from_task("t6", paths, "one_take")
+
+        clip_asset_ids = {c.asset_id for c in clips}
+        map_keys = set(asset_map.keys())
+        assert clip_asset_ids == map_keys
+
+
+# ── 测试图层分组（4 模式） ────────────────────────────────────────────────────
+
+
+class TestFourModeLayerGrouping:
+    """验证 4 种模式的 clip_type 分布经 _resolve_layer_role 后产生正确的图层。"""
+
+    def test_one_take_layers(self):
+        """ONE_TAKE: 3 main → 1 main layer。"""
+        paths = [Path(f"/tmp/ot_{i}.mp4") for i in range(3)]
+        _, clips, _ = _build_plan_and_clips_from_task("ot", paths, "one_take")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"main"}
+
+    def test_pip_layers(self):
+        """PIP: 1 main + 2 overlay → main + overlay。"""
+        paths = [Path(f"/tmp/pip_{i}.mp4") for i in range(3)]
+        _, clips, _ = _build_plan_and_clips_from_task("pip", paths, "pip")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"main", "overlay"}
+
+    def test_voice_over_layers(self):
+        """VOICE_OVER: 3 main(b_roll) → broll。"""
+        paths = [Path(f"/tmp/vo_{i}.mp4") for i in range(3)]
+        _, clips, _ = _build_plan_and_clips_from_task("vo", paths, "voice_over")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"broll"}
+
+    def test_voice_pip_layers(self):
+        """VOICE_PIP: 1 bg + 1 corner_voice + 2 b_roll → 3 个图层。"""
+        paths = [Path(f"/tmp/vpip_{i}.mp4") for i in range(4)]
+        _, clips, _ = _build_plan_and_clips_from_task("vpip", paths, "voice_pip")
+
+        roles = {_resolve_layer_role(c.clip_type, c.config) for c in clips}
+        assert roles == {"background", "corner_voice", "broll"}
+
+
+# ── 端到端渲染测试（需要 ffmpeg） ─────────────────────────────────────────────
+
+
+class TestEndToEndRendering:
+    """4 种模式的完整渲染测试，验证输出文件存在且时长合理。"""
+
+    def test_one_take_render(self):
+        result, work_dir = _render_with_mode("one_take", num_clips=2, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+            assert result.width == 640
+            assert result.height == 360
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)
+
+    def test_pip_render(self):
+        result, work_dir = _render_with_mode("pip", num_clips=2, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)
+
+    def test_voice_over_render(self):
+        result, work_dir = _render_with_mode("voice_over", num_clips=2, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)
+
+    def test_voice_pip_render(self):
+        result, work_dir = _render_with_mode("voice_pip", num_clips=3, duration=2.0)
+        try:
+            assert result.output_path.exists()
+            assert result.file_size > 0
+            assert result.duration > 0
+        finally:
+            shutil.rmtree(work_dir, ignore_errors=True)

tests/integration/test_full_pipeline.py

@@ -0,0 +1,239 @@
+"""全链路集成测试.
+
+验证 PlanGeneratorService → UnifiedRenderService → 查重 的端到端流程。
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+import tempfile
+from pathlib import Path
+from unittest.mock import patch, MagicMock
+
+import pytest
+
+from video_processing.unified_render_service import (
+    RenderResult,
+    UnifiedRenderService,
+)
+from worker_app.tasks.generation import (
+    _build_plan_and_clips_from_task,
+    _mux_audio_track,
+    _create_fallback_clip,
+    OUTPUT_WIDTH,
+    OUTPUT_HEIGHT,
+)
+
+pytestmark = pytest.mark.skipif(
+    not shutil.which("ffmpeg"),
+    reason="ffmpeg not available",
+)
+
+
+def _generate_test_video(path: Path, duration: float = 3.0) -> None:
+    """生成一个测试视频。"""
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-f",
+        "lavfi",
+        "-i",
+        f"color=c=blue:s=640x360:d={duration}:r=25",
+        "-c:v",
+        "libx264",
+        "-pix_fmt",
+        "yuv420p",
+        str(path),
+    ]
+    subprocess.run(cmd, check=True, capture_output=True, timeout=30)
+
+
+def _generate_test_audio(path: Path, duration: float = 5.0) -> None:
+    """生成一个测试音频文件。"""
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-f",
+        "lavfi",
+        "-i",
+        f"sine=frequency=440:duration={duration}",
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        str(path),
+    ]
+    subprocess.run(cmd, check=True, capture_output=True, timeout=30)
+
+
+# ── 测试 _create_fallback_clip ────────────────────────────────────────────────
+
+
+class TestFallbackClip:
+    """测试 fallback 视频生成。"""
+
+    def test_fallback_clip_creates_video(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            output = Path(tmpdir) / "fallback.mp4"
+            _create_fallback_clip(output, "Test Fallback")
+
+            assert output.exists()
+            assert output.stat().st_size > 0
+
+
+# ── 测试 _mux_audio_track ────────────────────────────────────────────────────
+
+
+class TestMuxAudioTrack:
+    """测试视频+音频混合。"""
+
+    def test_mux_audio_into_video(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            video_path = Path(tmpdir) / "video.mp4"
+            audio_path = Path(tmpdir) / "audio.aac"
+            output_path = Path(tmpdir) / "output.mp4"
+
+            _generate_test_video(video_path, duration=3.0)
+            _generate_test_audio(audio_path, duration=5.0)
+
+            _mux_audio_track(video_path, str(audio_path), output_path)
+
+            assert output_path.exists()
+            assert output_path.stat().st_size > 0
+
+            # 验证输出文件包含音频轨
+            probe_cmd = [
+                "ffprobe",
+                "-v",
+                "quiet",
+                "-show_streams",
+                "-select_streams",
+                "a",
+                "-of",
+                "csv=p=0",
+                str(output_path),
+            ]
+            result = subprocess.run(probe_cmd, capture_output=True, text=True, timeout=10)
+            # 如果有音频流，输出非空
+            assert result.stdout.strip() != "" or result.returncode == 0
+
+
+# ── 测试 PlanGenerator → UnifiedRenderService 全链路 ─────────────────────────
+
+
+class TestFullPipeline:
+    """验证从虚拟 plan 构建到渲染输出的完整流程。"""
+
+    def test_one_take_pipeline(self):
+        """ONE_TAKE 模式完整流程。"""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            work_dir = Path(tmpdir)
+
+            # 生成测试素材
+            paths = []
+            for i in range(3):
+                p = work_dir / f"clip_{i}.mp4"
+                _generate_test_video(p, duration=2.0)
+                paths.append(p)
+
+            # 构建虚拟 plan
+            plan, clips, asset_map = _build_plan_and_clips_from_task("pipeline_test", paths, "one_take")
+
+            # 渲染
+            service = UnifiedRenderService(
+                plan=plan,
+                clips=clips,
+                asset_path_map=asset_map,
+                work_dir=work_dir,
+                output_width=640,
+                output_height=360,
+            )
+            result = service.render()
+
+            assert result.output_path.exists()
+            assert result.duration > 0
+            assert result.file_size > 0
+            assert result.width == 640
+            assert result.height == 360
+
+    def test_pipeline_with_audio_mux(self):
+        """渲染 + 混音后处理。"""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            work_dir = Path(tmpdir)
+
+            # 生成测试素材
+            video_path = work_dir / "clip_0.mp4"
+            _generate_test_video(video_path, duration=3.0)
+
+            # 构建虚拟 plan
+            plan, clips, asset_map = _build_plan_and_clips_from_task("audio_test", [video_path], "one_take")
+
+            # 渲染
+            service = UnifiedRenderService(
+                plan=plan,
+                clips=clips,
+                asset_path_map=asset_map,
+                work_dir=work_dir,
+                output_width=640,
+                output_height=360,
+            )
+            render_result = service.render()
+
+            # 混音
+            audio_path = work_dir / "voice.aac"
+            _generate_test_audio(audio_path, duration=5.0)
+
+            final_path = work_dir / "final.mp4"
+            _mux_audio_track(render_result.output_path, str(audio_path), final_path)
+
+            assert final_path.exists()
+            assert final_path.stat().st_size > 0
+
+    def test_single_clip_pipeline(self):
+        """单 clip 渲染（无转场）。"""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            work_dir = Path(tmpdir)
+
+            video_path = work_dir / "single.mp4"
+            _generate_test_video(video_path, duration=5.0)
+
+            plan, clips, asset_map = _build_plan_and_clips_from_task("single_test", [video_path], "one_take")
+
+            service = UnifiedRenderService(
+                plan=plan,
+                clips=clips,
+                asset_path_map=asset_map,
+                work_dir=work_dir,
+                output_width=640,
+                output_height=360,
+            )
+            result = service.render()
+
+            assert result.output_path.exists()
+            assert result.duration > 0
+
+    def test_dedup_helper_integration(self):
+        """验证 dedup_helpers.create_video_record_and_dedup 的导入和签名。"""
+        from video_processing.dedup_helpers import create_video_record_and_dedup
+
+        # 只验证函数存在且签名正确（不实际调用，需要数据库）
+        import inspect
+
+        sig = inspect.signature(create_video_record_and_dedup)
+        params = set(sig.parameters.keys())
+        expected = {
+            "generation_task_id",
+            "project_id",
+            "batch_id",
+            "file_url",
+            "file_size",
+            "duration",
+            "video_path",
+            "mode",
+            "session",
+            "width",
+            "height",
+            "fps",
+        }
+        assert expected.issubset(params), f"Missing params: {expected - params}"

tests/unit/test_unified_render_service.py

@@ -0,0 +1,404 @@
+"""UnifiedRenderService 单元测试.
+
+测试图层分组算法、filter_complex 构建、以及渲染流程。
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+from unittest.mock import patch, MagicMock
+
+import pytest
+
+from video_processing.unified_render_service import (
+    ResolvedClip,
+    RenderLayer,
+    RenderResult,
+    UnifiedRenderService,
+    _resolve_layer_role,
+)
+
+
+# ── Fixtures ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class FakeClip:
+    """模拟 EditPlanClip。"""
+
+    id: str
+    plan_id: str = "plan_001"
+    clip_type: str = "main"
+    order: int = 0
+    asset_id: str = ""
+    text_content: str = ""
+    start_time: float = 0.0
+    duration: float = 0.0
+    transition_effect: str = "cut"
+    status: str = "ready"
+    config: dict[str, Any] = field(default_factory=dict)
+
+
+@dataclass
+class FakePlan:
+    """模拟 EditPlan。"""
+
+    id: str = "plan_001"
+    name: str = "测试计划"
+
+
+def _make_clip(
+    clip_id: str,
+    clip_type: str = "main",
+    order: int = 0,
+    asset_id: str = "",
+    duration: float = 0.0,
+    transition_effect: str = "cut",
+    config: dict[str, Any] | None = None,
+) -> FakeClip:
+    return FakeClip(
+        id=clip_id,
+        clip_type=clip_type,
+        order=order,
+        asset_id=asset_id or f"asset_{clip_id}.mp4",
+        duration=duration,
+        transition_effect=transition_effect,
+        config=config or {},
+    )
+
+
+def _make_service(
+    clips: list[FakeClip] | None = None,
+    asset_paths: dict[str, Path] | None = None,
+    work_dir: Path | None = None,
+) -> UnifiedRenderService:
+    """创建测试用的 UnifiedRenderService 实例。
+
+    如果未提供 asset_paths，自动从 clips 生成默认映射
+    （asset_id → /tmp/asset_{clip_id}.mp4）。
+    """
+    plan = FakePlan()
+    clips = clips or []
+    work_dir = work_dir or Path("/tmp/test_render")
+    if asset_paths is None:
+        asset_paths = {}
+        for c in clips:
+            if c.asset_id:
+                asset_paths[c.asset_id] = Path(f"/tmp/{c.asset_id}")
+    return UnifiedRenderService(
+        plan=plan,
+        clips=clips,
+        asset_path_map=asset_paths,
+        work_dir=work_dir,
+    )
+
+
+def _patch_path_exists():
+    """Patch Path.exists() 让测试路径返回 True。"""
+    return patch("pathlib.Path.exists", return_value=True)
+
+
+# ── 测试 _resolve_layer_role ─────────────────────────────────────────────────
+
+
+class TestResolveLayerRole:
+    """测试 clip_type → layer role 映射。"""
+
+    def test_main_default(self):
+        assert _resolve_layer_role("main", {}) == "main"
+
+    def test_main_with_b_roll_role(self):
+        assert _resolve_layer_role("main", {"role": "b_roll"}) == "broll"
+
+    def test_overlay(self):
+        assert _resolve_layer_role("overlay", {}) == "overlay"
+
+    def test_background(self):
+        assert _resolve_layer_role("background", {}) == "background"
+
+    def test_corner_voice(self):
+        assert _resolve_layer_role("corner_voice", {}) == "corner_voice"
+
+    def test_b_roll(self):
+        assert _resolve_layer_role("b_roll", {}) == "broll"
+
+    def test_intro(self):
+        assert _resolve_layer_role("intro", {}) == "main"
+
+    def test_outro(self):
+        assert _resolve_layer_role("outro", {}) == "main"
+
+
+# ── 测试图层分组 ──────────────────────────────────────────────────────────────
+
+
+class TestGroupClipsIntoLayers:
+    """测试 _group_clips_into_layers 方法。"""
+
+    def test_group_clips_one_take(self):
+        """4 个 main clips → 1 个 main_layer。"""
+        clips = [
+            _make_clip("c1", "main", order=0),
+            _make_clip("c2", "main", order=1),
+            _make_clip("c3", "main", order=2),
+            _make_clip("c4", "main", order=3),
+        ]
+        svc = _make_service(clips)
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+
+        assert len(layers) == 1
+        assert layers[0].role == "main"
+        assert len(layers[0].clips) == 4
+        assert layers[0].z_index == 0
+
+    def test_group_clips_pip(self):
+        """1 main + 2 overlay → main_layer + overlay_layer。"""
+        clips = [
+            _make_clip("c1", "main", order=0),
+            _make_clip("c2", "overlay", order=1),
+            _make_clip("c3", "overlay", order=2),
+        ]
+        svc = _make_service(clips)
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+
+        roles = {l.role for l in layers}
+        assert "main" in roles
+        assert "overlay" in roles
+
+        main_layer = next(l for l in layers if l.role == "main")
+        overlay_layer = next(l for l in layers if l.role == "overlay")
+        assert len(main_layer.clips) == 1
+        assert len(overlay_layer.clips) == 2
+        assert overlay_layer.z_index > main_layer.z_index
+
+    def test_group_clips_voice_over(self):
+        """3 个 main(b_roll) clips → 1 个 broll_layer。"""
+        clips = [
+            _make_clip("c1", "main", order=0, config={"role": "b_roll"}),
+            _make_clip("c2", "main", order=1, config={"role": "b_roll"}),
+            _make_clip("c3", "main", order=2, config={"role": "b_roll"}),
+        ]
+        svc = _make_service(clips)
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+
+        assert len(layers) == 1
+        assert layers[0].role == "broll"
+        assert len(layers[0].clips) == 3
+
+    def test_group_clips_voice_pip(self):
+        """1 background + 1 corner_voice + 2 b_roll → 3 layers。"""
+        clips = [
+            _make_clip("c1", "background", order=0),
+            _make_clip("c2", "corner_voice", order=1),
+            _make_clip("c3", "b_roll", order=2),
+            _make_clip("c4", "b_roll", order=3),
+        ]
+        svc = _make_service(clips)
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+
+        roles = {l.role for l in layers}
+        assert roles == {"background", "corner_voice", "broll"}
+        assert len(layers) == 3
+
+        # z_index 排序
+        assert layers[0].z_index <= layers[1].z_index <= layers[2].z_index
+
+    def test_group_clips_intro_outro(self):
+        """intro + 2 main + outro → 1 main_layer（4 clips，按 order 排序）。"""
+        clips = [
+            _make_clip("intro", "intro", order=0),
+            _make_clip("c1", "main", order=1),
+            _make_clip("c2", "main", order=2),
+            _make_clip("outro", "outro", order=3),
+        ]
+        svc = _make_service(clips)
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+
+        assert len(layers) == 1
+        assert layers[0].role == "main"
+        assert len(layers[0].clips) == 4
+        # 按 order 排序
+        orders = [c.order for c in layers[0].clips]
+        assert orders == [0, 1, 2, 3]
+
+
+# ── 测试 _resolve_clips ──────────────────────────────────────────────────────
+
+
+class TestResolveClips:
+    """测试 _resolve_clips 方法。"""
+
+    def test_skip_missing_asset(self):
+        """跳过 asset_id 在 asset_path_map 中找不到的 clip。"""
+        clips = [
+            _make_clip("c1", "main", order=0, asset_id="asset_1.mp4"),
+            _make_clip("c2", "main", order=1, asset_id="missing.mp4"),
+        ]
+        # 只有 asset_1.mp4 存在
+        asset_paths = {"asset_1.mp4": Path("/tmp/asset_1.mp4")}
+
+        svc = _make_service(clips, asset_paths)
+
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+
+        assert len(resolved) == 1
+        assert resolved[0].clip_id == "c1"
+
+    def test_skip_empty_asset_id(self):
+        """跳过 asset_id 为空的 clip。"""
+        clips = [
+            _make_clip("c1", "main", order=0, asset_id=""),
+            _make_clip("c2", "main", order=1, asset_id="asset_2.mp4"),
+        ]
+        asset_paths = {"asset_2.mp4": Path("/tmp/asset_2.mp4")}
+
+        svc = _make_service(clips, asset_paths)
+
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+
+        assert len(resolved) == 1
+        assert resolved[0].clip_id == "c2"
+
+    def test_sort_by_order(self):
+        """解析后的 clips 按 order 排序。"""
+        clips = [
+            _make_clip("c3", "main", order=3, asset_id="a3.mp4"),
+            _make_clip("c1", "main", order=1, asset_id="a1.mp4"),
+            _make_clip("c2", "main", order=2, asset_id="a2.mp4"),
+        ]
+        asset_paths = {
+            "a1.mp4": Path("/tmp/a1.mp4"),
+            "a2.mp4": Path("/tmp/a2.mp4"),
+            "a3.mp4": Path("/tmp/a3.mp4"),
+        }
+
+        svc = _make_service(clips, asset_paths)
+
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+
+        orders = [c.order for c in resolved]
+        assert orders == [1, 2, 3]
+
+
+# ── 测试 _build_filter_complex ───────────────────────────────────────────────
+
+
+class TestBuildFilterComplex:
+    """测试 _build_filter_complex 方法。"""
+
+    def test_single_layer_single_clip(self):
+        """只有 1 个 main clip → 简单 scale + setpts。"""
+        clips = [_make_clip("c1", "main", order=0)]
+        asset_paths = {"asset_c1.mp4": Path("/tmp/asset_c1.mp4")}
+        svc = _make_service(clips, asset_paths)
+
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+            fc, input_args = svc._build_filter_complex(layers)
+
+        assert "-i" in input_args
+        assert "/tmp/asset_c1.mp4" in input_args
+        assert "scale=" in fc
+        assert "[final_video]" in fc
+
+    def test_single_layer_multi_clips(self):
+        """多个 main clips → xfade 串联。"""
+        clips = [
+            _make_clip("c1", "main", order=0, duration=3.0),
+            _make_clip("c2", "main", order=1, duration=3.0),
+        ]
+        asset_paths = {
+            "asset_c1.mp4": Path("/tmp/asset_c1.mp4"),
+            "asset_c2.mp4": Path("/tmp/asset_c2.mp4"),
+        }
+        svc = _make_service(clips, asset_paths)
+
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+            fc, input_args = svc._build_filter_complex(layers)
+
+        assert input_args.count("-i") == 2
+        assert "xfade=" in fc
+        assert "[final_video]" in fc
+
+    def test_with_overlay(self):
+        """main + overlay → overlay 滤镜。"""
+        clips = [
+            _make_clip("c1", "main", order=0),
+            _make_clip("c2", "overlay", order=1),
+        ]
+        asset_paths = {
+            "asset_c1.mp4": Path("/tmp/asset_c1.mp4"),
+            "asset_c2.mp4": Path("/tmp/asset_c2.mp4"),
+        }
+        svc = _make_service(clips, asset_paths)
+
+        with _patch_path_exists(), patch("video_processing.unified_render_service.probe_duration", return_value=5.0):
+            resolved = svc._resolve_clips()
+            layers = svc._group_clips_into_layers(resolved)
+            fc, input_args = svc._build_filter_complex(layers)
+
+        assert "overlay=" in fc
+        assert "[final_video]" in fc
+
+    def test_empty_layers_raises(self):
+        """空图层列表抛出 ValueError。"""
+        svc = _make_service()
+        with pytest.raises(ValueError, match="没有可渲染的图层"):
+            svc._build_filter_complex([])
+
+
+# ── 测试 render 方法 ─────────────────────────────────────────────────────────
+
+
+class TestRender:
+    """测试 render 方法。"""
+
+    def test_render_empty_clips_raises(self):
+        """没有 clips 时抛出 ValueError。"""
+        svc = _make_service(clips=[], asset_paths={})
+        with pytest.raises(ValueError, match="没有可渲染的片段"):
+            svc.render()
+
+    def test_render_with_missing_assets_raises(self):
+        """所有 clips 素材缺失时抛出 ValueError。"""
+        clips = [_make_clip("c1", "main", order=0, asset_id="missing.mp4")]
+        svc = _make_service(clips, asset_paths={})
+        with pytest.raises(ValueError, match="没有可渲染的片段"):
+            svc.render()
+
+    def test_render_success(self):
+        """正常渲染流程。"""
+        clips = [_make_clip("c1", "main", order=0)]
+        asset_paths = {"asset_c1.mp4": Path("/tmp/asset_c1.mp4")}
+        svc = _make_service(clips, asset_paths)
+
+        with _patch_path_exists(), \
+             patch("video_processing.unified_render_service.probe_duration", return_value=5.0), \
+             patch.object(svc, "_execute_ffmpeg") as mock_exec, \
+             patch.object(svc, "_probe_output", return_value=(5.0, 1024, 1280, 720)):
+            result = svc.render()
+
+        assert isinstance(result, RenderResult)
+        assert result.duration == 5.0
+        assert result.file_size == 1024
+        assert result.width == 1280
+        assert result.height == 720
+        mock_exec.assert_called_once()