Files
Pre_Seg_Server/backend/models.py
admin f020ff3b4f 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。
2026-05-01 13:29:14 +08:00

155 lines
5.4 KiB
Python

"""SQLAlchemy ORM models."""
from sqlalchemy import (
Column,
Integer,
String,
Text,
DateTime,
ForeignKey,
JSON,
Float,
)
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
from database import Base
from statuses import PROJECT_STATUS_PENDING
class Project(Base):
"""Project model representing a segmentation project."""
__tablename__ = "projects"
id = Column(Integer, primary_key=True, index=True)
name = Column(String(255), nullable=False)
description = Column(Text, nullable=True)
video_path = Column(String(512), nullable=True)
thumbnail_url = Column(String(512), nullable=True)
status = Column(String(50), default=PROJECT_STATUS_PENDING, nullable=False)
source_type = Column(String(20), default="video", nullable=False) # video | dicom
original_fps = Column(Float, nullable=True)
parse_fps = Column(Float, default=30.0, nullable=False)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(
DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
)
frames = relationship("Frame", back_populates="project", cascade="all, delete-orphan")
annotations = relationship(
"Annotation", back_populates="project", cascade="all, delete-orphan"
)
tasks = relationship(
"ProcessingTask", back_populates="project", cascade="all, delete-orphan"
)
class Frame(Base):
"""Frame model representing an extracted video frame."""
__tablename__ = "frames"
id = Column(Integer, primary_key=True, index=True)
project_id = Column(Integer, ForeignKey("projects.id", ondelete="CASCADE"), nullable=False)
frame_index = Column(Integer, nullable=False)
image_url = Column(String(512), nullable=False)
width = Column(Integer, nullable=True)
height = Column(Integer, nullable=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
project = relationship("Project", back_populates="frames")
annotations = relationship(
"Annotation", back_populates="frame", cascade="all, delete-orphan"
)
class Template(Base):
"""Template (Ontology) model for segmentation classes."""
__tablename__ = "templates"
id = Column(Integer, primary_key=True, index=True)
name = Column(String(255), nullable=False)
description = Column(Text, nullable=True)
color = Column(String(50), nullable=False)
z_index = Column(Integer, default=0, nullable=False)
mapping_rules = Column(JSON, nullable=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
annotations = relationship(
"Annotation", back_populates="template", cascade="all, delete-orphan"
)
class Annotation(Base):
"""Annotation model for segmentation masks and prompts."""
__tablename__ = "annotations"
id = Column(Integer, primary_key=True, index=True)
project_id = Column(
Integer, ForeignKey("projects.id", ondelete="CASCADE"), nullable=False
)
frame_id = Column(
Integer, ForeignKey("frames.id", ondelete="CASCADE"), nullable=True
)
template_id = Column(
Integer, ForeignKey("templates.id", ondelete="SET NULL"), nullable=True
)
mask_data = Column(JSON, nullable=True)
points = Column(JSON, nullable=True)
bbox = Column(JSON, nullable=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(
DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
)
project = relationship("Project", back_populates="annotations")
frame = relationship("Frame", back_populates="annotations")
template = relationship("Template", back_populates="annotations")
masks = relationship("Mask", back_populates="annotation", cascade="all, delete-orphan")
class Mask(Base):
"""Mask model for exported/derived mask files."""
__tablename__ = "masks"
id = Column(Integer, primary_key=True, index=True)
annotation_id = Column(
Integer, ForeignKey("annotations.id", ondelete="CASCADE"), nullable=False
)
mask_url = Column(String(512), nullable=False)
format = Column(String(50), default="png", nullable=False) # png / rle / json
created_at = Column(DateTime(timezone=True), server_default=func.now())
annotation = relationship("Annotation", back_populates="masks")
class ProcessingTask(Base):
"""Background task state persisted for dashboard and polling."""
__tablename__ = "processing_tasks"
id = Column(Integer, primary_key=True, index=True)
task_type = Column(String(80), nullable=False)
status = Column(String(40), default="queued", nullable=False)
progress = Column(Integer, default=0, nullable=False)
message = Column(Text, nullable=True)
project_id = Column(
Integer, ForeignKey("projects.id", ondelete="CASCADE"), nullable=True
)
celery_task_id = Column(String(255), nullable=True)
payload = Column(JSON, nullable=True)
result = Column(JSON, nullable=True)
error = Column(Text, nullable=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
started_at = Column(DateTime(timezone=True), nullable=True)
finished_at = Column(DateTime(timezone=True), nullable=True)
updated_at = Column(
DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
)
project = relationship("Project", back_populates="tasks")