feat(ai-avatar): 渲染完成后自动保存成片记录到成片库

- 在 execute_render 方法的 job.status=completed 之后,自动创建 GeneratedVideo 记录
- 复用现有 GeneratedVideo 模型和 SQLAlchemyGeneratedVideoRepository
- 成片记录包含:视频URL、封面URL、时长、用户ID、项目ID
- 生成参数中记录来源(render_job_id)以便追溯
- 创建失败时仅打 warning 日志,不影响渲染任务状态
This commit is contained in:
xiaoxia
2026-09-10 16:55:54 +08:00
parent 4a2140cd8b
commit dc12c62190
@@ -322,6 +322,37 @@ class AiAvatarRenderService:
self.db.commit()
logger.info("渲染任务完成: %s", job_id)
# 7. 自动保存成片记录到成片库
if job.output_video_url:
try:
from packages.domain.generated_video import GeneratedVideo
from packages.adapters.sqlalchemy_impl.generated_video_repository import (
SQLAlchemyGeneratedVideoRepository,
)
clip_name = f"AI数字人_{job_id[:8]}"
clip = GeneratedVideo.create(
project_id=job.project_id,
generation_task_id=job.lipsync_job_id,
name=clip_name,
file_url=job.output_video_url,
user_id=job.user_id,
duration=job.output_duration or 0.0,
thumbnail_url=job.output_cover_url or None,
generation_params={
"source": "ai_avatar_render",
"render_job_id": job.id,
},
)
video_repo = SQLAlchemyGeneratedVideoRepository(self.db)
video_repo.create(clip)
logger.info("成片记录已保存到成片库: clip_id=%s, render_job=%s", clip.id, job_id)
except Exception as clip_err:
logger.warning(
"自动保存成片记录失败(不影响渲染任务状态): render_job=%s, error=%s",
job_id, clip_err,
)
except AiAvatarRenderError as exc:
job.status = "failed"
job.error_message = str(exc)
@@ -376,7 +407,7 @@ class AiAvatarRenderService:
else:
filter_arg = ""
return f"ffmpeg {inputs} {filter_arg} -c:v libx264 -preset fast -crf 23 -y {output_path}"
return f"ffmpeg {inputs} {filter_arg} -c:v libx264 -preset veryfast -crf 23 -y {output_path}"
def _upload_to_oss(self, local_path: str, oss_key: str) -> str:
"""上传文件到 OSS,返回 URL.