feat(worker): render_edit_plan 接入 Feature Flag 灰度控制 (#240) #240

Merged
xiaoxia merged 1 commits from feat/render-edit-plan-ff into develop 2026-07-13 10:27:25 +08:00
2 changed files with 304 additions and 99 deletions
+302 -99
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@@ -1,13 +1,18 @@
"""剪辑计划渲染任务 — Phase 8 任务 2.05.
"""剪辑计划渲染任务 — 支持 Feature Flag 灰度.
Celery 任务 worker.render_edit_plan:
1. 加载 EditPlan + EditPlanClips
2. 下载各片段素材
3. 使用 UnifiedRenderService 按时间线+图层渲染
2. 根据 Feature Flag 选择渲染引擎(legacy / unified
3. 下载各片段素材 + 渲染
4. 上传渲染结果到 OSS
5. 创建 GeneratedVideo 记录 + 查重
6. 更新 EditPlan / EditPlanClip 状态
7. 更新 GenerationTask 进度
渲染引擎灰度:
- 走 Feature Flag (render_engine) 控制
- legacy: VideoComposeService + FFmpeg filter_complex
- unified: UnifiedRenderService 图层架构
"""
from __future__ import annotations
@@ -63,14 +68,268 @@ def _get_repos():
# ── Celery Task ───────────────────────────────────────────────────────────────
def _resolve_render_engine(user_id: str) -> str:
"""根据 Feature Flag 决定使用哪个渲染引擎。
Returns:
"legacy""unified"
"""
try:
from video_processing.render_engine_resolver import get_render_engine_resolver
resolver = get_render_engine_resolver()
return resolver.get_engine(user_id=user_id)
except Exception as exc:
logger.warning("获取渲染引擎配置失败,fallback 到 legacy: %s", exc)
return "legacy"
def _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg: str):
"""统一的计划失败标记工具。"""
plan = plan_repo.get(plan_id)
if plan and plan.status.value == "rendering":
plan.mark_failed()
plan_repo.update(plan)
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task and gen_task.status.value != "failed":
gen_task.status = "failed"
gen_task.error_message = error_msg
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
def _finalize_render_success(
plan,
plan_repo,
clip_repo,
gen_task_repo,
db,
plan_id: str,
output_url: str,
storage_key: str,
duration: float,
file_size: int,
width: int,
height: int,
rendered_clip_ids: list[str],
failed_clip_ids: list[str],
generation_task_id: str,
output_path: Path,
engine: str,
) -> dict:
"""渲染成功后的统一收尾:查重 + 更新状态 + 返回结果。"""
# 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=file_size,
duration=duration,
video_path=str(output_path),
mode=mode,
session=db,
width=width,
height=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)
# 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)
# 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)
# 更新 GenerationTask 状态为 completed
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "completed"
gen_task.progress = 100.0
gen_task.result_count = len(rendered_clip_ids)
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
logger.info(
"剪辑计划渲染完成: plan_id=%s engine=%s rendered=%d failed=%d duration=%.1fs",
plan_id,
engine,
len(rendered_clip_ids),
len(failed_clip_ids),
duration,
)
return {
"status": "completed",
"plan_id": plan_id,
"rendered_count": len(rendered_clip_ids),
"failed_count": len(failed_clip_ids),
"output_url": output_url,
"duration": duration,
}
def _render_with_unified(
plan,
clips,
asset_path_map: dict[str, Path],
tmpdir_path: Path,
rendered_clip_ids: list[str],
plan_id: str,
generation_task_id: str,
plan_repo,
clip_repo,
gen_task_repo,
db,
) -> dict:
"""统一渲染引擎路径(UnifiedRenderService 图层架构)。"""
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),
)
try:
render_result = render_service.render()
except Exception as render_err:
logger.error("渲染失败(unified): %s%s", plan_id, render_err)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"渲染失败: {render_err}")
return {"status": "error", "message": f"渲染失败: {render_err}"}
output_path = render_result.output_path
# 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = upload_to_oss(output_path, storage_key)
failed_clip_ids: list[str] = []
return _finalize_render_success(
plan=plan,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
plan_id=plan_id,
output_url=output_url or "",
storage_key=storage_key,
duration=render_result.duration,
file_size=render_result.file_size,
width=render_result.width,
height=render_result.height,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
generation_task_id=generation_task_id,
output_path=output_path,
engine="unified",
)
def _render_with_legacy(
plan,
clips,
rendered_clip_ids: list[str],
failed_clip_ids: list[str],
tmpdir_path: Path,
plan_id: str,
generation_task_id: str,
plan_repo,
clip_repo,
gen_task_repo,
db,
) -> dict:
"""旧引擎路径(VideoComposeService + FFmpeg filter_complex)。"""
import os
import subprocess
from apps.api.app.services.video_compose_service import VideoComposeService
compose_svc = VideoComposeService(db)
# 校验合成条件
validation = compose_svc.validate_compose(plan_id)
if not validation.valid:
error_msg = "; ".join(validation.errors)
logger.error("合成校验失败(legacy): %s%s", plan_id, error_msg)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 构建 FFmpeg 命令
output_dir = os.environ.get("VIDEO_OUTPUT_DIR", str(tmpdir_path))
output_path = Path(output_dir) / f"{plan_id}.mp4"
compose_cmd = compose_svc.build_compose_command(plan_id, str(output_path))
logger.info("执行 FFmpeg (legacy): plan_id=%s", plan_id)
try:
subprocess.run(
compose_cmd.command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=3600,
)
except subprocess.CalledProcessError as e:
error_msg = f"FFmpeg 执行失败: {e.stderr[:500]}"
logger.error("FFmpeg 执行失败(legacy): %s%s", plan_id, error_msg)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg)
return {"status": "error", "message": error_msg}
# 获取文件大小
file_size = output_path.stat().st_size if output_path.exists() else 0
duration = compose_cmd.estimated_duration or 0.0
# 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = upload_to_oss(output_path, storage_key)
return _finalize_render_success(
plan=plan,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
plan_id=plan_id,
output_url=output_url or "",
storage_key=storage_key,
duration=duration,
file_size=file_size,
width=OUTPUT_WIDTH,
height=OUTPUT_HEIGHT,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
generation_task_id=generation_task_id,
output_path=output_path,
engine="legacy",
)
@celery_app.task(name="worker.render_edit_plan", bind=True, max_retries=2)
def render_edit_plan(self, plan_id: str) -> dict:
"""渲染剪辑计划
流程:
1. 加载 EditPlan + EditPlanClips
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
2. 根据 Feature Flag 选择渲染引擎(legacy / unified
3. 下载素材 + 渲染
4. 上传渲染结果到 OSS
5. 创建 GeneratedVideo 记录 + 查重
6. 更新 EditPlan → completed, EditPlanClips → rendered
@@ -79,6 +338,7 @@ def render_edit_plan(self, plan_id: str) -> dict:
logger.info("开始渲染剪辑计划: plan_id=%s", plan_id)
generation_task_id = ""
engine = "legacy"
for repos in _get_repos():
plan_repo, clip_repo, gen_task_repo, db = repos
@@ -93,7 +353,12 @@ def render_edit_plan(self, plan_id: str) -> dict:
# 获取 generation_task_id(提前读取,确保 except 块可用)
generation_task_id = plan.config.get("generation_task_id", "")
# 2. 加载片段列表(按 order 排序
# 2. 选择渲染引擎(Feature Flag 灰度控制
user_id = plan.created_by_user_id or ""
engine = _resolve_render_engine(user_id)
logger.info("剪辑计划渲染引擎: plan_id=%s engine=%s user_id=%s", plan_id, engine, user_id)
# 3. 加载片段列表(按 order 排序)
clips = clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
if not clips:
logger.warning("剪辑计划没有片段: %s", plan_id)
@@ -174,100 +439,38 @@ 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. 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),
)
# 4. 根据引擎选择渲染方式
if engine == "unified":
result = _render_with_unified(
plan=plan,
clips=clips,
asset_path_map=asset_path_map,
tmpdir_path=tmpdir_path,
rendered_clip_ids=rendered_clip_ids,
plan_id=plan_id,
generation_task_id=generation_task_id,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
)
else:
result = _render_with_legacy(
plan=plan,
clips=clips,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
tmpdir_path=tmpdir_path,
plan_id=plan_id,
generation_task_id=generation_task_id,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
)
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 = 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": 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)
# 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)
# 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)
# 9. 更新 GenerationTask 状态为 completed
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "completed"
gen_task.progress = 100.0
gen_task.result_count = len(rendered_clip_ids)
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
logger.info(
"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 {
"status": "completed",
"plan_id": plan_id,
"rendered_count": len(rendered_clip_ids),
"failed_count": len(failed_clip_ids),
"output_url": output_url,
"duration": render_result.duration,
}
result["engine"] = engine
return result
except Exception as exc:
logger.exception("渲染剪辑计划异常: %s", plan_id)
+2
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@@ -63,6 +63,8 @@ class StubEditPlan:
template_id: str = "tmpl-001"
status: Any = None
config: dict = field(default_factory=dict)
project_id: str = ""
created_by_user_id: str = "user-001"
def mark_failed(self):
self.status = _StubStatus("failed")