feat: File and Annotation 2-way sync implementation (#63)

* feat: Refactor configuration and sync logic for improved dataset handling and logging

* feat: Enhance annotation synchronization and dataset file management

- Added new fields `tags_updated_at` to `DatasetFiles` model for tracking the last update time of tags.
- Implemented new asynchronous methods in the Label Studio client for fetching, creating, updating, and deleting task annotations.
- Introduced bidirectional synchronization for annotations between DataMate and Label Studio, allowing for flexible data management.
- Updated sync service to handle annotation conflicts based on timestamps, ensuring data integrity during synchronization.
- Enhanced dataset file response model to include tags and their update timestamps.
- Modified database initialization script to create a new column for `tags_updated_at` in the dataset files table.
- Updated requirements to ensure compatibility with the latest dependencies.

runtime/datamate-python/.env.example

@@ -1,94 +1,19 @@
-# ====================================
+# Dev settings
-# Label Studio Adapter Configuration
-# ====================================
-
-# =========================
-# 应用程序配置
-# =========================
-APP_NAME="Label Studio Adapter"
-APP_VERSION="1.0.0"
-APP_DESCRIPTION="Adapter for integrating Data Management System with Label Studio"
-DEBUG=true
-
-# =========================
-# 服务器配置
-# =========================
 HOST=0.0.0.0
 PORT=18000
 
-# =========================
+DEBUG=true
-# 日志配置
+LOG_LEVEL=DEBUG
-# =========================
+LOG_FILE_DIR=./logs
-LOG_LEVEL=INFO
 
-# =========================
+# DataBase
-# Label Studio 服务配置
+MYSQL_HOST=localhost
-# =========================
-# Label Studio 服务地址（根据部署方式调整）
-# Docker 环境：http://label-studio:8080
-# 本地开发：http://127.0.0.1:8000
-LABEL_STUDIO_BASE_URL=http://label-studio:8080
-
-# Label Studio 用户名和密码（用于自动创建用户）
-LABEL_STUDIO_USERNAME=admin@example.com
-LABEL_STUDIO_PASSWORD=password
-
-# Label Studio API 认证 Token（Legacy Token，推荐使用）
-# 从 Label Studio UI 的 Account & Settings > Access Token 获取
-LABEL_STUDIO_USER_TOKEN=your-label-studio-token-here
-
-# Label Studio 本地文件存储基础路径（容器内路径，用于 Docker 部署时的权限检查）
-LABEL_STUDIO_LOCAL_BASE=/label-studio/local_files
-
-# Label Studio 本地文件服务路径前缀（任务数据中的文件路径前缀）
-LABEL_STUDIO_FILE_PATH_PREFIX=/data/local-files/?d=
-
-# Label Studio 容器中的本地存储路径（用于配置 Local Storage）
-LABEL_STUDIO_LOCAL_STORAGE_DATASET_BASE_PATH=/label-studio/local_files/dataset
-LABEL_STUDIO_LOCAL_STORAGE_UPLOAD_BASE_PATH=/label-studio/local_files/upload
-
-# Label Studio 任务列表分页大小
-LS_TASK_PAGE_SIZE=1000
-
-# =========================
-# Data Management 服务配置
-# =========================
-# DM 存储文件夹前缀（通常与 Label Studio 的 local-files 文件夹映射一致）
-DM_FILE_PATH_PREFIX=/
-
-# =========================
-# Adapter 数据库配置 (MySQL)
-# =========================
-# 优先级1：如果配置了 MySQL，将优先使用 MySQL 数据库
-MYSQL_HOST=adapter-db
 MYSQL_PORT=3306
-MYSQL_USER=label_studio_user
+MYSQL_USER=root
-MYSQL_PASSWORD=user_password
+MYSQL_PASSWORD=password
-MYSQL_DATABASE=label_studio_adapter
+MYSQL_DATABASE=datamate
 
-# =========================
+# Label Studio settings
-# CORS 配置
+LABEL_STUDIO_BASE_URL=http://localhost:8080
-# =========================
-# 允许的来源（生产环境建议配置具体域名）
-ALLOWED_ORIGINS=["*"]
 
-# 允许的 HTTP 方法
+LABEL_STUDIO_USER_TOKEN="demo_dev_token"
-ALLOWED_METHODS=["*"]
-
-# 允许的请求头
-ALLOWED_HEADERS=["*"]
-
-# =========================
-# Docker Compose 配置
-# =========================
-# Docker Compose 项目名称前缀
-COMPOSE_PROJECT_NAME=ls-adapter
-
-# =========================
-# 同步配置（未来扩展）
-# =========================
-# 批量同步任务的批次大小
-SYNC_BATCH_SIZE=100
-
-# 同步失败时的最大重试次数
-MAX_RETRIES=3

runtime/datamate-python/.gitignore

@@ -4,3 +4,5 @@
 
 # logs
 logs/
+
+doc/

runtime/datamate-python/app/core/config.py

@@ -1,8 +1,6 @@
 from pydantic_settings import BaseSettings
 from pydantic import model_validator
-from typing import Optional, List
+from typing import Optional
-import os
-from pathlib import Path
 
 class Settings(BaseSettings):
     """应用程序配置"""
@@ -10,39 +8,34 @@ class Settings(BaseSettings):
     class Config:
         env_file = ".env"
         case_sensitive = False
-        extra = 'ignore'  # 允许额外字段（如 Shell 脚本专用的环境变量）
+        extra = 'ignore'
 
-    # =========================
+    # Service
-    # Adapter 服务配置
+    app_name: str = "DataMate Python Backend"
-    # =========================
-    app_name: str = "Label Studio Adapter"
     app_version: str = "1.0.0"
     app_description: str = "Adapter for integrating Data Management System with Label Studio"
 
-    # 日志配置
-    log_level: str = "INFO"
-    debug: bool = True
-    log_file_dir: str = "/var/log/datamate"
-
-    # 服务器配置
     host: str = "0.0.0.0"
-    port: int = 8000
+    port: int = 18000
     
-    # CORS配置
+    # CORS
     # allowed_origins: List[str] = ["*"]
     # allowed_methods: List[str] = ["*"]
     # allowed_headers: List[str] = ["*"]
 
-    # MySQL数据库配置 (优先级1)
+    # Log
+    log_level: str = "INFO"
+    debug: bool = True
+    log_file_dir: str = "/var/log/datamate"
+
+    # Database
     mysql_host: str = "datamate-database"
     mysql_port: int = 3306
     mysql_user: str = "root"
     mysql_password: str = "password"
     mysql_database: str = "datamate"
 
-    # 直接数据库URL配置（如果提供，将覆盖上述配置）
+    database_url: str = ""  # Will be overridden by build_database_url() if not provided
-    # 初始值为空字符串，在 model_validator 中会被设置为完整的 URL
-    database_url: str = ""
     
     @model_validator(mode='after')
     def build_database_url(self):
@@ -55,22 +48,18 @@ class Settings(BaseSettings):
         return self
 
 
-    # =========================
+    # Label Studio
-    # Label Studio 服务配置
-    # =========================
     label_studio_base_url: str = "http://label-studio:8000"
-    label_studio_username: Optional[str] = "admin@demo.com"  # Label Studio 用户名（用于登录）
+    label_studio_username: Optional[str] = "admin@demo.com"
-    label_studio_password: Optional[str] = "demoadmin"  # Label Studio 密码（用于登录）
+    label_studio_password: Optional[str] = "demoadmin"
     label_studio_user_token: Optional[str] = "abc123abc123"  # Legacy Token
 
-    label_studio_local_storage_dataset_base_path: str = "/label-studio/local"  # Label Studio容器中的本地存储基础路径
+    label_studio_local_document_root: str = "/label-studio/local"  # Label Studio local file storage path
-    label_studio_file_path_prefix: str = "/data/local-files/?d="  # Label Studio本地文件服务路径前缀
+    label_studio_file_path_prefix: str = "/data/local-files/?d="  # Label Studio local file serving URL prefix
 
     ls_task_page_size: int = 1000
 
-    # =========================
+    # DataMate
-    # Data Management 服务配置
-    # =========================
     dm_file_path_prefix: str = "/dataset"  # DM存储文件夹前缀
 
 # 全局设置实例

runtime/datamate-python/app/db/models/dataset_management.py

@@ -64,6 +64,7 @@ class DatasetFiles(Base):
     file_size = Column(BigInteger, default=0, comment="文件大小(字节)")
     check_sum = Column(String(64), nullable=True, comment="文件校验和")
     tags = Column(JSON, nullable=True, comment="文件标签信息")
+    tags_updated_at = Column(TIMESTAMP, nullable=True, comment="标签最后更新时间")
     dataset_filemetadata = Column("metadata", JSON, nullable=True, comment="文件元数据")
     status = Column(String(50), default='ACTIVE', comment="文件状态：ACTIVE/DELETED/PROCESSING")
     upload_time = Column(TIMESTAMP, server_default=func.current_timestamp(), comment="上传时间")

runtime/datamate-python/app/main.py

@@ -45,7 +45,7 @@ async def lifespan(app: FastAPI):
     yield
     
     # @shutdown
-    logger.info("DataMate Python Backend shutting down ...")
+    logger.info("DataMate Python Backend shutting down ...\n\n")
 
 # 创建FastAPI应用
 app = FastAPI(
@@ -69,11 +69,7 @@ app = FastAPI(
 app.include_router(router)
 
 # 输出注册的路由（每行一个）
-logger.debug("Registered routes:")
+logger.debug(f"Registered routes refer to http://localhost:{settings.port}/redoc")
-for route in app.routes:
-    route_path = getattr(route, "path", None)
-    if route_path:
-        logger.debug(f"  {route_path}")
 
 # 注册全局异常处理器
 app.add_exception_handler(StarletteHTTPException, starlette_http_exception_handler) # type: ignore
@@ -102,7 +98,7 @@ async def root():
         data={
             "message": f"{settings.app_name} is running",
             "version": settings.app_version,
-            "docs_url": "/docs",
+            "docs_url": "/redoc",
             "label_studio_url": settings.label_studio_base_url
         }
     )

runtime/datamate-python/app/module/annotation/client/labelstudio/client.py

@@ -380,6 +380,148 @@ class Client:
             logger.error(f"Error while deleting project {project_id}: {e}")
             return False
     
+    async def get_task_annotations(
+        self,
+        task_id: int
+    ) -> Optional[List[Dict[str, Any]]]:
+        """获取任务的标注结果
+        
+        Args:
+            task_id: 任务ID
+            
+        Returns:
+            标注结果列表，每个标注包含完整的annotation信息
+        """
+        try:
+            logger.debug(f"Fetching annotations for task: {task_id}")
+            
+            response = await self.client.get(f"/api/tasks/{task_id}/annotations")
+            response.raise_for_status()
+            
+            annotations = response.json()
+            logger.debug(f"Fetched {len(annotations)} annotations for task {task_id}")
+            
+            return annotations
+            
+        except httpx.HTTPStatusError as e:
+            logger.error(f"Get task annotations failed HTTP {e.response.status_code}: {e.response.text}")
+            return None
+        except Exception as e:
+            logger.error(f"Error while getting task annotations: {e}")
+            return None
+    
+    async def create_annotation(
+        self,
+        task_id: int,
+        result: List[Dict[str, Any]],
+        completed_by: Optional[int] = None
+    ) -> Optional[Dict[str, Any]]:
+        """为任务创建新的标注
+        
+        Args:
+            task_id: 任务ID
+            result: 标注结果列表
+            completed_by: 完成标注的用户ID（可选）
+            
+        Returns:
+            创建的标注信息，失败返回None
+        """
+        try:
+            logger.debug(f"Creating annotation for task: {task_id}")
+            
+            annotation_data = {
+                "result": result,
+                "task": task_id
+            }
+            
+            if completed_by:
+                annotation_data["completed_by"] = completed_by
+            
+            response = await self.client.post(
+                f"/api/tasks/{task_id}/annotations",
+                json=annotation_data
+            )
+            response.raise_for_status()
+            
+            annotation = response.json()
+            logger.debug(f"Created annotation {annotation.get('id')} for task {task_id}")
+            
+            return annotation
+            
+        except httpx.HTTPStatusError as e:
+            logger.error(f"Create annotation failed HTTP {e.response.status_code}: {e.response.text}")
+            return None
+        except Exception as e:
+            logger.error(f"Error while creating annotation: {e}")
+            return None
+    
+    async def update_annotation(
+        self,
+        annotation_id: int,
+        result: List[Dict[str, Any]]
+    ) -> Optional[Dict[str, Any]]:
+        """更新已存在的标注
+        
+        Args:
+            annotation_id: 标注ID
+            result: 新的标注结果列表
+            
+        Returns:
+            更新后的标注信息，失败返回None
+        """
+        try:
+            logger.debug(f"Updating annotation: {annotation_id}")
+            
+            annotation_data = {
+                "result": result
+            }
+            
+            response = await self.client.patch(
+                f"/api/annotations/{annotation_id}",
+                json=annotation_data
+            )
+            response.raise_for_status()
+            
+            annotation = response.json()
+            logger.debug(f"Updated annotation {annotation_id}")
+            
+            return annotation
+            
+        except httpx.HTTPStatusError as e:
+            logger.error(f"Update annotation failed HTTP {e.response.status_code}: {e.response.text}")
+            return None
+        except Exception as e:
+            logger.error(f"Error while updating annotation: {e}")
+            return None
+    
+    async def delete_annotation(
+        self,
+        annotation_id: int
+    ) -> bool:
+        """删除标注
+        
+        Args:
+            annotation_id: 标注ID
+            
+        Returns:
+            成功返回True，失败返回False
+        """
+        try:
+            logger.debug(f"Deleting annotation: {annotation_id}")
+            
+            response = await self.client.delete(f"/api/annotations/{annotation_id}")
+            response.raise_for_status()
+            
+            logger.debug(f"Deleted annotation {annotation_id}")
+            return True
+            
+        except httpx.HTTPStatusError as e:
+            logger.error(f"Delete annotation failed HTTP {e.response.status_code}: {e.response.text}")
+            return False
+        except Exception as e:
+            logger.error(f"Error while deleting annotation: {e}")
+            return False
+    
     async def create_local_storage(
         self,
         project_id: int,

runtime/datamate-python/app/module/annotation/interface/project.py

@@ -80,7 +80,7 @@ async def create_mapping(
         project_id = project_data["id"]
         
         # 配置本地存储：dataset/<id>
-        local_storage_path = f"{settings.label_studio_local_storage_dataset_base_path}/{request.dataset_id}"
+        local_storage_path = f"{settings.label_studio_local_document_root}/{request.dataset_id}"
         storage_result = await ls_client.create_local_storage(
             project_id=project_id,
             path=local_storage_path,

runtime/datamate-python/app/module/annotation/interface/task.py

@@ -15,6 +15,8 @@ from ..service.mapping import DatasetMappingService
 from ..schema import (
     SyncDatasetRequest,
     SyncDatasetResponse,
+    SyncAnnotationsRequest,
+    SyncAnnotationsResponse,
 )
 
 
@@ -30,10 +32,24 @@ async def sync_dataset_content(
     db: AsyncSession = Depends(get_db)
 ):
     """
-    同步数据集内容
+    同步数据集内容（包括文件和标注）
     
-    根据指定的mapping ID，同步DM程序数据集中的内容到Label Studio数据集中，
+    根据指定的mapping ID，同步DM程序数据集中的内容到Label Studio数据集中。
-    在数据库中记录更新时间，返回更新状态
+    默认同时同步文件和标注数据。
+    
+    Args:
+        request: 同步请求，包含:
+            - id: 映射ID（mapping UUID）
+            - batchSize: 批处理大小
+            - filePriority: 文件同步优先级
+            - labelPriority: 标签同步优先级
+            - syncAnnotations: 是否同步标注（默认True）
+            - annotationDirection: 标注同步方向（默认bidirectional）
+            - overwrite: 是否允许覆盖DataMate中的标注（默认True）
+            - overwriteLabelingProject: 是否允许覆盖Label Studio中的标注（默认True）
+    
+    Returns:
+        同步结果
     """
     try:
         ls_client = LabelStudioClient(base_url=settings.label_studio_base_url,
@@ -42,9 +58,9 @@ async def sync_dataset_content(
         mapping_service = DatasetMappingService(db)
         sync_service = SyncService(dm_client, ls_client, mapping_service)
 
-        logger.info(f"Sync dataset content request: mapping_id={request.id}")
+        logger.debug(f"Sync dataset content request: mapping_id={request.id}, sync_annotations={request.sync_annotations}")
 
-        # request.id 合法性校验
+        # request.id validation
         mapping = await mapping_service.get_mapping_by_uuid(request.id)
         if not mapping:
             raise HTTPException(
@@ -52,9 +68,34 @@ async def sync_dataset_content(
                 detail=f"Mapping not found: {request.id}"
             )
         
-        # 执行同步（使用映射中的源数据集UUID）
+        # Sync dataset files
         result = await sync_service.sync_dataset_files(request.id, request.batch_size)
         
+        # Sync annotations if requested
+        if request.sync_annotations:
+            logger.info(f"Syncing annotations: direction={request.annotation_direction}")
+            
+            # 根据方向执行标注同步
+            if request.annotation_direction == "ls_to_dm":
+                await sync_service.sync_annotations_from_ls_to_dm(
+                    mapping,
+                    request.batch_size,
+                    request.overwrite
+                )
+            elif request.annotation_direction == "dm_to_ls":
+                await sync_service.sync_annotations_from_dm_to_ls(
+                    mapping,
+                    request.batch_size,
+                    request.overwrite_labeling_project
+                )
+            elif request.annotation_direction == "bidirectional":
+                await sync_service.sync_annotations_bidirectional(
+                    mapping,
+                    request.batch_size,
+                    request.overwrite,
+                    request.overwrite_labeling_project
+                )
+        
         logger.info(f"Sync completed: {result.synced_files}/{result.total_files} files")
         
         return StandardResponse(
@@ -74,3 +115,147 @@ async def sync_dataset_content(
     except Exception as e:
         logger.error(f"Error syncing dataset content: {e}")
         raise HTTPException(status_code=500, detail="Internal server error")
+
+
+@router.post("/annotation/sync", response_model=StandardResponse[SyncAnnotationsResponse])
+async def sync_annotations(
+    request: SyncAnnotationsRequest,
+    db: AsyncSession = Depends(get_db)
+):
+    """
+    仅同步标注结果（支持双向同步）
+    
+    根据指定的mapping ID和同步方向，在DM数据集和Label Studio之间同步标注结果。
+    标注结果存储在数据集文件表的tags字段中，使用简化格式。
+    
+    同步策略：
+    - 默认为双向同步，基于时间戳自动解决冲突
+    - overwrite: 控制是否允许用Label Studio的标注覆盖DataMate（基于时间戳比较）
+    - overwriteLabelingProject: 控制是否允许用DataMate的标注覆盖Label Studio（基于时间戳比较）
+    - 如果Label Studio标注的updated_at更新，且overwrite=True，则覆盖DataMate
+    - 如果DataMate标注的updated_at更新，且overwriteLabelingProject=True，则覆盖Label Studio
+    
+    Args:
+        request: 同步请求，包含:
+            - id: 映射ID（mapping UUID）
+            - batchSize: 批处理大小
+            - direction: 同步方向 (ls_to_dm/dm_to_ls/bidirectional)
+            - overwrite: 是否允许覆盖DataMate中的标注（默认True）
+            - overwriteLabelingProject: 是否允许覆盖Label Studio中的标注（默认True）
+    
+    Returns:
+        同步结果，包含同步统计信息和冲突解决情况
+    """
+    try:
+        ls_client = LabelStudioClient(base_url=settings.label_studio_base_url,
+                                      token=settings.label_studio_user_token)
+        dm_client = DatasetManagementService(db)
+        mapping_service = DatasetMappingService(db)
+        sync_service = SyncService(dm_client, ls_client, mapping_service)
+
+        logger.info(f"Sync annotations request: mapping_id={request.id}, direction={request.direction}, overwrite={request.overwrite}, overwrite_ls={request.overwrite_labeling_project}")
+
+        # 验证映射是否存在
+        mapping = await mapping_service.get_mapping_by_uuid(request.id)
+        if not mapping:
+            raise HTTPException(
+                status_code=404,
+                detail=f"Mapping not found: {request.id}"
+            )
+        
+        # 根据方向执行同步
+        if request.direction == "ls_to_dm":
+            result = await sync_service.sync_annotations_from_ls_to_dm(
+                mapping,
+                request.batch_size,
+                request.overwrite
+            )
+        elif request.direction == "dm_to_ls":
+            result = await sync_service.sync_annotations_from_dm_to_ls(
+                mapping,
+                request.batch_size,
+                request.overwrite_labeling_project
+            )
+        elif request.direction == "bidirectional":
+            result = await sync_service.sync_annotations_bidirectional(
+                mapping,
+                request.batch_size,
+                request.overwrite,
+                request.overwrite_labeling_project
+            )
+        else:
+            raise HTTPException(
+                status_code=400,
+                detail=f"Invalid direction: {request.direction}"
+            )
+        
+        logger.info(f"Annotation sync completed: synced_to_dm={result.synced_to_dm}, synced_to_ls={result.synced_to_ls}, conflicts_resolved={result.conflicts_resolved}")
+        
+        return StandardResponse(
+            code=200,
+            message="success",
+            data=result
+        )
+        
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Error syncing annotations: {e}")
+        raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
+
+
+@router.get("/check-ls-connection")
+async def check_label_studio_connection():
+    """
+    检查Label Studio连接状态
+    
+    用于诊断Label Studio连接问题，返回连接状态和配置信息
+    """
+    try:
+        ls_client = LabelStudioClient(
+            base_url=settings.label_studio_base_url,
+            token=settings.label_studio_user_token
+        )
+        
+        # 尝试获取项目列表来测试连接
+        try:
+            response = await ls_client.client.get("/api/projects")
+            response.raise_for_status()
+            projects = response.json()
+            
+            token_display = settings.label_studio_user_token[:10] + "..." if settings.label_studio_user_token else "None"
+            
+            return StandardResponse(
+                code=200,
+                message="success",
+                data={
+                    "status": "connected",
+                    "base_url": settings.label_studio_base_url,
+                    "token": token_display,
+                    "projects_count": len(projects.get("results", [])) if isinstance(projects, dict) else len(projects),
+                    "message": "Successfully connected to Label Studio"
+                }
+            )
+        except Exception as e:
+            token_display = settings.label_studio_user_token[:10] + "..." if settings.label_studio_user_token else "None"
+            
+            return StandardResponse(
+                code=500,
+                message="error",
+                data={
+                    "status": "disconnected",
+                    "base_url": settings.label_studio_base_url,
+                    "token": token_display,
+                    "error": str(e),
+                    "message": f"Failed to connect to Label Studio: {str(e)}",
+                    "troubleshooting": [
+                        "1. Check if Label Studio is running: docker ps | grep label-studio",
+                        "2. Verify LABEL_STUDIO_BASE_URL in .env file",
+                        "3. Verify LABEL_STUDIO_USER_TOKEN is valid",
+                        "4. Check network connectivity between services"
+                    ]
+                }
+            )
+    except Exception as e:
+        logger.error(f"Error checking Label Studio connection: {e}")
+        raise HTTPException(status_code=500, detail=str(e))

runtime/datamate-python/app/module/annotation/schema/__init__.py

@@ -11,6 +11,8 @@ from .mapping import (
 from .sync import (
     SyncDatasetRequest,
     SyncDatasetResponse,
+    SyncAnnotationsRequest,
+    SyncAnnotationsResponse,
 )
 
 __all__ = [
@@ -21,5 +23,7 @@ __all__ = [
     "DatasetMappingResponse",
     "SyncDatasetRequest",
     "SyncDatasetResponse",
+    "SyncAnnotationsRequest",
+    "SyncAnnotationsResponse",
     "DeleteDatasetResponse",
 ]

runtime/datamate-python/app/module/annotation/schema/sync.py

@@ -1,4 +1,7 @@
-from pydantic import Field
+from typing import Literal, List, Dict, Any, Optional
+from datetime import datetime
+
+from pydantic import Field, ConfigDict
 
 from app.module.shared.schema import BaseResponseModel
 from app.module.shared.schema import StandardResponse
@@ -6,8 +9,27 @@ from app.module.shared.schema import StandardResponse
 
 class SyncDatasetRequest(BaseResponseModel):
     """同步数据集请求模型"""
+    model_config = ConfigDict(populate_by_name=True)
+    
     id: str = Field(..., description="映射ID（mapping UUID）")
-    batch_size: int = Field(50, ge=1, le=100, description="批处理大小")
+    batch_size: int = Field(50, ge=1, le=100, description="批处理大小", alias="batchSize")
+    file_priority: Literal[0, 1] = Field(0, description="0 数据集为主，1 标注平台为主", alias="filePriority")
+    label_priority: Literal[0, 1] = Field(0, description="0 数据集为主，1 标注平台为主", alias="labelPriority")
+    sync_annotations: bool = Field(True, description="是否同步标注数据", alias="syncAnnotations")
+    annotation_direction: Literal["ls_to_dm", "dm_to_ls", "bidirectional"] = Field(
+        "bidirectional", 
+        description="标注同步方向: ls_to_dm(Label Studio到数据集), dm_to_ls(数据集到Label Studio), bidirectional(双向)",
+        alias="annotationDirection"
+    )
+    overwrite: bool = Field(
+        True, 
+        description="是否覆盖DataMate中的标注（基于时间戳比较）"
+    )
+    overwrite_labeling_project: bool = Field(
+        True, 
+        description="是否覆盖Label Studio中的标注（基于时间戳比较）",
+        alias="overwriteLabelingProject"
+    )
 
 class SyncDatasetResponse(BaseResponseModel):
     """同步数据集响应模型"""
@@ -19,3 +41,52 @@ class SyncDatasetResponse(BaseResponseModel):
 
 class SyncDatasetResponseStd(StandardResponse[SyncDatasetResponse]):
     pass
+
+
+class SyncAnnotationsRequest(BaseResponseModel):
+    """同步标注请求模型
+    
+    使用camelCase作为API接口字段名（通过alias），但Python代码内部使用snake_case。
+    Pydantic会自动处理两种格式的转换。
+    """
+    model_config = ConfigDict(populate_by_name=True)
+    
+    id: str = Field(..., description="映射ID（mapping UUID）")
+    batch_size: int = Field(50, ge=1, le=100, description="批处理大小", alias="batchSize")
+    direction: Literal["ls_to_dm", "dm_to_ls", "bidirectional"] = Field(
+        "bidirectional", 
+        description="同步方向: ls_to_dm(Label Studio到数据集), dm_to_ls(数据集到Label Studio), bidirectional(双向)"
+    )
+    overwrite: bool = Field(
+        True, 
+        description="是否覆盖DataMate中的标注（基于时间戳比较）。True时，如果Label Studio的标注更新时间更新，则覆盖DataMate的标注"
+    )
+    overwrite_labeling_project: bool = Field(
+        True, 
+        description="是否覆盖Label Studio中的标注（基于时间戳比较）。True时，如果DataMate的标注更新时间更新，则覆盖Label Studio的标注",
+        alias="overwriteLabelingProject"
+    )
+
+
+class TagInfo(BaseResponseModel):
+    """标注信息结构（不包含时间戳，时间戳存储在文件级别的tags_updated_at字段）"""
+    from_name: str = Field(..., description="标注工具名称")
+    to_name: str = Field(..., description="目标对象名称")
+    type: str = Field(..., description="标注类型")
+    values: Dict[str, Any] = Field(..., description="标注值")
+
+
+class SyncAnnotationsResponse(BaseResponseModel):
+    """同步标注响应模型"""
+    id: str = Field(..., description="映射UUID")
+    status: str = Field(..., description="同步状态: success/partial/error")
+    synced_to_dm: int = Field(0, description="同步到数据集的标注数量")
+    synced_to_ls: int = Field(0, description="同步到Label Studio的标注数量")
+    skipped: int = Field(0, description="跳过的标注数量")
+    failed: int = Field(0, description="失败的标注数量")
+    conflicts_resolved: int = Field(0, description="解决的冲突数量")
+    message: str = Field(..., description="响应消息")
+
+
+class SyncAnnotationsResponseStd(StandardResponse[SyncAnnotationsResponse]):
+    pass

runtime/datamate-python/app/module/dataset/schema/dataset_file.py

@@ -15,6 +15,8 @@ class DatasetFileResponse(BaseModel):
     description: Optional[str] = Field(None, description="文件描述")
     uploadedBy: Optional[str] = Field(None, description="上传者")
     lastAccessTime: Optional[datetime] = Field(None, description="最后访问时间")
+    tags: Optional[List[Dict[str, Any]]] = Field(None, description="文件标签/标注信息")
+    tags_updated_at: Optional[datetime] = Field(None, description="标签最后更新时间", alias="tagsUpdatedAt")
 
 class PagedDatasetFileResponse(BaseModel):
     """DM服务分页文件响应模型"""

runtime/datamate-python/app/module/dataset/service/service.py

@@ -108,7 +108,9 @@ class Service:
                     uploadedAt=f.upload_time,  # type: ignore
                     description=None,
                     uploadedBy=None,
-                    lastAccessTime=f.last_access_time  # type: ignore
+                    lastAccessTime=f.last_access_time,  # type: ignore
+                    tags=f.tags,  # type: ignore
+                    tags_updated_at=f.tags_updated_at  # type: ignore
                 )
                 for f in files
             ]

runtime/datamate-python/uvicorn_start.sh

@@ -1,3 +1,6 @@
+export LOG_LEVEL=DEBUG
+export DEBUG=true
+
 uvicorn app.main:app \
     --host 0.0.0.0 \
     --port 18000 \

scripts/db/data-management-init.sql

@@ -55,6 +55,7 @@ CREATE TABLE IF NOT EXISTS t_dm_dataset_files (
     file_size BIGINT DEFAULT 0 COMMENT '文件大小(字节)',
     check_sum VARCHAR(64) COMMENT '文件校验和',
     tags      JSON COMMENT '文件标签信息',
+    tags_updated_at TIMESTAMP NULL COMMENT '标签最后更新时间',
     metadata JSON COMMENT '文件元数据',
     status VARCHAR(50) DEFAULT 'ACTIVE' COMMENT '文件状态：ACTIVE/DELETED/PROCESSING',
     upload_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT '上传时间',