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功能增加：新增后端传播任务执行器，支持异步自动传播、传播进度、结果统计、取消/重试状态同步。 功能增加：传播请求支持指定 SAM2.1 tiny/small/base+/large 权重，并记录 seed mask、source annotation 和传播范围。 功能增加：传播逻辑增加 seed 签名，未变化的 mask 二次传播会跳过，已变化的 mask 会先清理旧自动传播结果再重新生成，避免重复重叠。 功能增加：工作区增加传播范围二次选择、传播进度提示、人工/AI 标注帧红色标识、自动传播帧蓝色标识和当前帧双层边框。 功能增加：新增临时提示组件，让工具操作提示自动消失且不阻塞后续操作。 功能增加：补充项目删除、模板删除、任务失败详情、任务取消/重试等前后端联动状态。 功能增加：新增安装部署文档，补充当前需求冻结、设计冻结、接口契约、测试计划和 AGENTS/README 项目说明。 Bugfix：修复自动传播接口 404、传播后看不到任务进度、传播结果重复堆叠和已编辑帧提示不清晰的问题。 Bugfix：修复 AI 分割框选/点选交互、单候选 mask、删除选点、工作区保存与候选 mask 推送相关问题。 Bugfix：修复 Canvas 多边形顶点拖动告警、工具栏提示缺失、项目库 FPS 展示和若干 UI 文案/可用性问题。 测试：补充 AI 分割、Canvas、Dashboard、FrameTimeline、ProjectLibrary、TemplateRegistry、ToolsPalette、VideoWorkspace、API 和后端任务/AI/dashboard 测试。 验证：npm run lint；npm run test:run；python -m pytest backend/tests -q。
299 lines
7.8 KiB
Python
299 lines
7.8 KiB
Python
"""Pydantic schemas for request/response validation."""
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from datetime import datetime
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from typing import Optional, Any
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from pydantic import BaseModel, ConfigDict
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# ---------------------------------------------------------------------------
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# Project schemas
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# ---------------------------------------------------------------------------
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class ProjectBase(BaseModel):
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name: str
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description: Optional[str] = None
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video_path: Optional[str] = None
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thumbnail_url: Optional[str] = None
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status: Optional[str] = "pending"
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source_type: Optional[str] = "video"
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original_fps: Optional[float] = None
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parse_fps: Optional[float] = 30.0
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class ProjectCreate(ProjectBase):
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pass
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class ProjectUpdate(BaseModel):
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name: Optional[str] = None
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description: Optional[str] = None
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video_path: Optional[str] = None
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thumbnail_url: Optional[str] = None
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status: Optional[str] = None
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source_type: Optional[str] = None
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original_fps: Optional[float] = None
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parse_fps: Optional[float] = None
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class ProjectOut(ProjectBase):
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model_config = ConfigDict(from_attributes=True)
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id: int
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created_at: datetime
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updated_at: datetime
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frame_count: int = 0
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# ---------------------------------------------------------------------------
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# Frame schemas
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# ---------------------------------------------------------------------------
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class FrameBase(BaseModel):
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frame_index: int
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image_url: str
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width: Optional[int] = None
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height: Optional[int] = None
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timestamp_ms: Optional[float] = None
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source_frame_number: Optional[int] = None
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class FrameCreate(FrameBase):
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project_id: int
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class FrameOut(FrameBase):
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model_config = ConfigDict(from_attributes=True)
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id: int
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project_id: int
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created_at: datetime
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# ---------------------------------------------------------------------------
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# Template schemas
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# ---------------------------------------------------------------------------
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class TemplateBase(BaseModel):
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name: str
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description: Optional[str] = None
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color: str
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z_index: int = 0
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mapping_rules: Optional[dict[str, Any]] = None
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classes: Optional[list[dict[str, Any]]] = None
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rules: Optional[list[dict[str, Any]]] = None
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class TemplateCreate(TemplateBase):
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pass
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class TemplateUpdate(BaseModel):
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name: Optional[str] = None
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description: Optional[str] = None
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color: Optional[str] = None
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z_index: Optional[int] = None
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mapping_rules: Optional[dict[str, Any]] = None
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classes: Optional[list[dict[str, Any]]] = None
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rules: Optional[list[dict[str, Any]]] = None
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class TemplateOut(TemplateBase):
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model_config = ConfigDict(from_attributes=True)
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id: int
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created_at: datetime
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# ---------------------------------------------------------------------------
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# Annotation schemas
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# ---------------------------------------------------------------------------
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class AnnotationBase(BaseModel):
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project_id: int
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frame_id: Optional[int] = None
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template_id: Optional[int] = None
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mask_data: Optional[dict[str, Any]] = None
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points: Optional[list[list[float]]] = None
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bbox: Optional[list[float]] = None
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class AnnotationCreate(AnnotationBase):
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pass
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class AnnotationUpdate(BaseModel):
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mask_data: Optional[dict[str, Any]] = None
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points: Optional[list[list[float]]] = None
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bbox: Optional[list[float]] = None
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template_id: Optional[int] = None
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class AnnotationOut(AnnotationBase):
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model_config = ConfigDict(from_attributes=True)
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id: int
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created_at: datetime
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updated_at: datetime
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# ---------------------------------------------------------------------------
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# Mask schemas
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# ---------------------------------------------------------------------------
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class MaskBase(BaseModel):
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annotation_id: int
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mask_url: str
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format: str = "png"
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class MaskCreate(MaskBase):
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pass
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class MaskOut(MaskBase):
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model_config = ConfigDict(from_attributes=True)
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id: int
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created_at: datetime
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# ---------------------------------------------------------------------------
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# Processing task schemas
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# ---------------------------------------------------------------------------
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class ProcessingTaskOut(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: int
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task_type: str
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status: str
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progress: int
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message: Optional[str] = None
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project_id: Optional[int] = None
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celery_task_id: Optional[str] = None
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payload: Optional[dict[str, Any]] = None
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result: Optional[dict[str, Any]] = None
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error: Optional[str] = None
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created_at: datetime
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started_at: Optional[datetime] = None
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finished_at: Optional[datetime] = None
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updated_at: datetime
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# ---------------------------------------------------------------------------
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# AI schemas
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# ---------------------------------------------------------------------------
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class PredictRequest(BaseModel):
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image_id: int
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prompt_type: str # point / box / semantic
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prompt_data: Any
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model: Optional[str] = None
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options: Optional[dict[str, Any]] = None
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class PredictResponse(BaseModel):
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polygons: list[list[list[float]]]
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scores: Optional[list[float]] = None
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class MaskAnalysisRequest(BaseModel):
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frame_id: Optional[int] = None
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mask_data: dict[str, Any]
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points: Optional[list[list[float]]] = None
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bbox: Optional[list[float]] = None
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extract_skeleton: bool = False
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class MaskAnalysisResponse(BaseModel):
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confidence: Optional[float] = None
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confidence_source: str
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topology_anchor_count: int
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topology_anchors: list[list[float]]
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area: float
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bbox: Optional[list[float]] = None
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source: Optional[str] = None
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message: str
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class PropagationSeed(BaseModel):
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polygons: Optional[list[list[list[float]]]] = None
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bbox: Optional[list[float]] = None
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points: Optional[list[list[float]]] = None
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labels: Optional[list[int]] = None
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label: Optional[str] = None
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color: Optional[str] = None
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class_metadata: Optional[dict[str, Any]] = None
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template_id: Optional[int] = None
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source_mask_id: Optional[str] = None
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source_annotation_id: Optional[int] = None
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class PropagateRequest(BaseModel):
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project_id: int
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frame_id: int
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model: Optional[str] = "sam2.1_hiera_tiny"
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seed: PropagationSeed
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direction: str = "forward"
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max_frames: int = 30
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include_source: bool = False
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save_annotations: bool = True
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class PropagateResponse(BaseModel):
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model: str
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direction: str
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source_frame_id: int
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processed_frame_count: int
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created_annotation_count: int
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annotations: list[AnnotationOut]
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class PropagateTaskStep(BaseModel):
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seed: PropagationSeed
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direction: str = "forward"
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max_frames: int = 30
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class PropagateTaskRequest(BaseModel):
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project_id: int
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frame_id: int
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model: Optional[str] = "sam2.1_hiera_tiny"
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steps: list[PropagateTaskStep]
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include_source: bool = False
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save_annotations: bool = True
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class AiModelStatus(BaseModel):
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id: str
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label: str
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available: bool
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loaded: bool = False
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device: str
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supports: list[str]
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message: str
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package_available: bool = False
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checkpoint_exists: bool = False
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checkpoint_path: Optional[str] = None
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python_ok: bool = True
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torch_ok: bool = True
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cuda_required: bool = False
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external_available: bool = False
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external_python: Optional[str] = None
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class GpuStatus(BaseModel):
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available: bool
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device: str
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name: Optional[str] = None
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torch_available: bool
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torch_version: Optional[str] = None
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cuda_version: Optional[str] = None
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class AiRuntimeStatus(BaseModel):
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selected_model: str
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gpu: GpuStatus
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models: list[AiModelStatus]
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# ---------------------------------------------------------------------------
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# Export schemas
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# ---------------------------------------------------------------------------
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class ExportStatus(BaseModel):
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url: str
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format: str
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