feat(annotation): 添加标注项目文件快照功能

- 新增 LabelingProjectFile 模型用于存储标注项目的文件快照
- 在创建标注项目时记录关联的文件快照数据
- 更新查询逻辑以基于项目快照过滤文件列表
- 优化导出统计功能使用快照数据进行计算
- 添加数据库表结构支持项目文件快照关系

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

@@ -3,14 +3,16 @@ import math
 import uuid
 
 from fastapi import APIRouter, Depends, HTTPException, Query, Path
+from sqlalchemy import select
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.db.session import get_db
-from app.db.models import LabelingProject
+from app.db.models import LabelingProject, DatasetFiles
 from app.module.shared.schema import StandardResponse, PaginatedData
 from app.module.dataset import DatasetManagementService
 from app.core.logging import get_logger
 
+from app.module.annotation.service.editor import AnnotationEditorService
 from ..service.mapping import DatasetMappingService
 from ..service.template import AnnotationTemplateService
 from ..schema import (
@@ -116,8 +118,20 @@ async def create_mapping(
                 configuration=project_configuration or None,
             )
 
-        # 创建映射关系，包含项目名称（先持久化映射以获得 mapping.id）
-        mapping = await mapping_service.create_mapping(labeling_project)
+        file_query = select(DatasetFiles.id).where(
+            DatasetFiles.dataset_id == request.dataset_id
+        )
+        if dataset_type == TEXT_DATASET_TYPE:
+            file_query = file_query.where(
+                ~AnnotationEditorService._build_source_document_filter()
+            )
+        file_result = await db.execute(file_query)
+        snapshot_file_ids = [str(fid) for fid in file_result.scalars().all()]
+
+        # 创建映射关系并写入快照
+        mapping = await mapping_service.create_mapping_with_snapshot(
+            labeling_project, snapshot_file_ids
+        )
 
         response_data = DatasetMappingCreateResponse(
             id=mapping.id,