feat: 打通全栈标注闭环、异步拆帧与模型状态
后端能力: - 新增 Celery app、worker task、ProcessingTask 模型、/api/tasks 查询接口和 media_task_runner,将 /api/media/parse 改为创建后台任务并由 worker 执行 FFmpeg/OpenCV/pydicom 拆帧。 - 新增 Redis 进度事件模块和 FastAPI Redis pub/sub 订阅,将 worker 任务进度广播到 /ws/progress;Dashboard 后端概览接口改为聚合 projects/frames/annotations/templates/processing_tasks。 - 统一项目状态为 pending/parsing/ready/error,新增共享 status 常量,并让前端兼容归一化旧状态值。 - 扩展 AI 后端:新增 SAM registry、SAM2 真实运行状态、SAM3 状态检测与文本语义推理适配入口,以及 /api/ai/models/status GPU/模型状态接口。 - 补齐标注保存/更新/删除、COCO/PNG mask 导出相关后端契约和模板 mapping_rules 打包/解包行为。 前端能力: - 新增运行时 API/WS 地址推导配置,前端 API 封装对齐 FastAPI 路由、字段映射、任务轮询、标注归档、导出下载和 AI 预测响应转换。 - Dashboard 改为读取 /api/dashboard/overview,并订阅 WebSocket progress/complete/error/status 更新解析队列和实时流转记录。 - 项目库导入视频/DICOM 后创建项目、上传媒体、触发异步解析并刷新真实项目列表。 - 工作区加载真实帧、无帧时触发解析任务、回显已保存标注、保存未归档 mask、更新 dirty mask、清空当前帧后端标注、导出 COCO JSON。 - Canvas 支持当前帧点/框提示调用后端 AI、渲染推理/已保存 mask、应用模板分类并维护保存状态计数;时间轴按项目 fps 播放。 - AI 页面新增 SAM2/SAM3 模型选择,预测请求携带 model;侧边栏和工作区新增真实 GPU/SAM 状态徽标。 - 模板库和本体面板接入真实模板 CRUD、分类编辑、拖拽排序、JSON 导入、默认腹腔镜分类和本地自定义分类选择。 测试与文档: - 新增 Vitest 配置、前端测试 setup、API/config/websocket/store/组件测试,覆盖登录、项目库、Dashboard、Canvas、工作区、模型状态、时间轴、本体和模板库。 - 新增 pytest 后端测试夹具和 auth/projects/templates/media/AI/export/dashboard/tasks/progress 测试,使用 SQLite、fake MinIO、fake SAM registry 和 Redis monkeypatch 隔离外部服务。 - 新增 doc/ 文档结构,冻结当前需求、设计、接口契约、测试计划、前端逐元素审计、实现地图和后续实施计划,并同步更新 README 与 AGENTS。 验证: - conda run -n seg_server pytest backend/tests:27 passed。 - npm run test:run:54 passed。 - npm run lint、npm run build、compileall、git diff --check 均通过;Vite 仅提示大 chunk 警告。
This commit is contained in:
220
backend/services/media_task_runner.py
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220
backend/services/media_task_runner.py
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"""Background media parsing runner used by Celery workers."""
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import logging
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import os
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import shutil
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import tempfile
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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from sqlalchemy.orm import Session
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from minio_client import BUCKET_NAME, download_file, get_minio_client, upload_file
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from models import Frame, ProcessingTask, Project
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from progress_events import publish_task_progress_event
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from services.frame_parser import (
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extract_thumbnail,
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parse_dicom,
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parse_video,
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upload_frames_to_minio,
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)
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from statuses import (
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PROJECT_STATUS_ERROR,
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PROJECT_STATUS_PARSING,
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PROJECT_STATUS_READY,
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TASK_STATUS_FAILED,
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TASK_STATUS_RUNNING,
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TASK_STATUS_SUCCESS,
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)
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logger = logging.getLogger(__name__)
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def _now() -> datetime:
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return datetime.now(timezone.utc)
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def _set_task_state(
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db: Session,
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task: ProcessingTask,
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*,
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status: str | None = None,
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progress: int | None = None,
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message: str | None = None,
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result: dict[str, Any] | None = None,
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error: str | None = None,
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started: bool = False,
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finished: bool = False,
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) -> None:
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if status is not None:
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task.status = status
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if progress is not None:
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task.progress = max(0, min(100, progress))
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if message is not None:
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task.message = message
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if result is not None:
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task.result = result
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if error is not None:
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task.error = error
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if started:
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task.started_at = _now()
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if finished:
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task.finished_at = _now()
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db.commit()
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db.refresh(task)
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publish_task_progress_event(task)
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def run_parse_media_task(db: Session, task_id: int) -> dict[str, Any]:
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"""Parse one project's media and update task progress in the database."""
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task = db.query(ProcessingTask).filter(ProcessingTask.id == task_id).first()
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if not task:
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raise ValueError(f"Task not found: {task_id}")
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if task.project_id is None:
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_set_task_state(
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db,
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task,
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status=TASK_STATUS_FAILED,
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progress=100,
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message="任务缺少 project_id",
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error="Task has no project_id",
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finished=True,
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)
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raise ValueError("Task has no project_id")
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project = db.query(Project).filter(Project.id == task.project_id).first()
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if not project:
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_set_task_state(
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db,
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task,
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status=TASK_STATUS_FAILED,
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progress=100,
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message="项目不存在",
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error="Project not found",
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finished=True,
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)
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raise ValueError(f"Project not found: {task.project_id}")
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if not project.video_path:
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_set_task_state(
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db,
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task,
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status=TASK_STATUS_FAILED,
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progress=100,
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message="项目没有可解析媒体",
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error="Project has no media uploaded",
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finished=True,
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)
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project.status = PROJECT_STATUS_ERROR
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db.commit()
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raise ValueError("Project has no media uploaded")
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project.status = PROJECT_STATUS_PARSING
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_set_task_state(db, task, status=TASK_STATUS_RUNNING, progress=5, message="后台解析已启动", started=True)
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effective_source = (task.payload or {}).get("source_type") or project.source_type or "video"
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parse_fps = project.parse_fps or 30.0
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tmp_dir = tempfile.mkdtemp(prefix=f"seg_parse_{project.id}_")
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output_dir = os.path.join(tmp_dir, "frames")
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os.makedirs(output_dir, exist_ok=True)
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try:
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_set_task_state(db, task, progress=15, message="正在下载媒体文件")
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if effective_source == "dicom":
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dcm_dir = os.path.join(tmp_dir, "dcm")
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os.makedirs(dcm_dir, exist_ok=True)
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client = get_minio_client()
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objects = list(client.list_objects(BUCKET_NAME, prefix=project.video_path, recursive=True))
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for obj in objects:
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if obj.object_name.lower().endswith(".dcm"):
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data = download_file(obj.object_name)
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local_dcm = os.path.join(dcm_dir, os.path.basename(obj.object_name))
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with open(local_dcm, "wb") as f:
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f.write(data)
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_set_task_state(db, task, progress=35, message="正在解析 DICOM 序列")
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frame_files = parse_dicom(dcm_dir, output_dir)
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else:
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media_bytes = download_file(project.video_path)
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local_path = os.path.join(tmp_dir, Path(project.video_path).name)
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with open(local_path, "wb") as f:
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f.write(media_bytes)
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_set_task_state(db, task, progress=35, message="正在使用 FFmpeg/OpenCV 拆帧")
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frame_files, original_fps = parse_video(local_path, output_dir, fps=int(parse_fps))
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project.original_fps = original_fps
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thumbnail_path = os.path.join(tmp_dir, "thumbnail.jpg")
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try:
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extract_thumbnail(local_path, thumbnail_path)
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with open(thumbnail_path, "rb") as f:
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thumb_data = f.read()
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thumb_object = f"projects/{project.id}/thumbnail.jpg"
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upload_file(thumb_object, thumb_data, content_type="image/jpeg", length=len(thumb_data))
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project.thumbnail_url = thumb_object
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except Exception as exc: # noqa: BLE001
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logger.warning("Thumbnail extraction failed: %s", exc)
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_set_task_state(db, task, progress=70, message="正在上传帧到对象存储")
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object_names = upload_frames_to_minio(frame_files, project.id)
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_set_task_state(db, task, progress=85, message="正在写入帧索引")
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frames_out = []
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for idx, obj_name in enumerate(object_names):
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local_frame = frame_files[idx]
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try:
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import cv2
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img = cv2.imread(local_frame)
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h, w = img.shape[:2] if img is not None else (None, None)
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except Exception: # noqa: BLE001
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h, w = None, None
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frame = Frame(
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project_id=project.id,
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frame_index=idx,
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image_url=obj_name,
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width=w,
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height=h,
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)
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db.add(frame)
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frames_out.append(frame)
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project.status = PROJECT_STATUS_READY
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db.commit()
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result = {
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"project_id": project.id,
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"frames_extracted": len(frames_out),
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"status": PROJECT_STATUS_READY,
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"message": "Frame extraction completed successfully.",
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}
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_set_task_state(
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db,
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task,
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status=TASK_STATUS_SUCCESS,
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progress=100,
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message="解析完成",
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result=result,
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finished=True,
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)
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logger.info("Parsed %d frames for project_id=%s", len(frames_out), project.id)
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return result
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except Exception as exc: # noqa: BLE001
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project.status = PROJECT_STATUS_ERROR
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_set_task_state(
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db,
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task,
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status=TASK_STATUS_FAILED,
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progress=100,
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message="解析失败",
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error=str(exc),
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finished=True,
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)
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logger.error("Frame extraction failed: %s", exc)
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raise
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finally:
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shutil.rmtree(tmp_dir, ignore_errors=True)
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