修改路径，从src放到根目录

main.py

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+"""
+主程序示例
+演示如何使用各个模块
+"""
+
+import asyncio
+from datetime import datetime, timedelta
+
+from config import settings
+from database.connection import db_manager, init_database
+from models.face_feature import SurFaceFeature
+from repositories.face_feature_repository import FaceFeatureRepository
+from services.face_feature_service import FaceFeatureService
+from schemas.face_feature import (
+    FaceFeatureCreate,
+    FaceFeatureUpdate,
+    FaceFeatureQuery,
+    FeatureStatus,
+    BatchFaceFeatureCreate
+)
+
+
+def demo_sync_operations():
+    """演示同步操作"""
+    print("=== 同步操作演示 ===")
+
+    # 初始化数据库
+    init_database()
+
+    # 创建仓库和服务
+    with db_manager.get_session() as session:
+        repository = FaceFeatureRepository(session)
+        service = FaceFeatureService(repository)
+
+        try:
+            # 1. 创建特征记录（先检查是否存在）
+            print("\n1. 创建特征记录")
+
+            # 固定的测试ID
+            test_person_id = 10
+            test_feature_type = 1
+
+            # 检查是否已存在
+            existing = service.get_feature_by_person_and_type(test_person_id, test_feature_type)
+
+            if existing:
+                print(f"记录已存在: ID={existing.id}, 状态={existing.status_name}")
+                feature_id = existing.id
+            else:
+                feature_data = FaceFeatureCreate(
+                    person_id=test_person_id,
+                    feature_type=test_feature_type,
+                    pic_id="test_image_001.jpg",
+                    status=FeatureStatus.NOT_STARTED
+                )
+
+                feature_response = service.create_feature(feature_data)
+                print(f"创建成功: ID={feature_response.id}, 人员ID={feature_response.person_id}")
+                feature_id = feature_response.id
+
+            # 2. 开始处理（如果未开始）
+            print("\n2. 检查并开始处理特征计算")
+            feature = service.get_feature(feature_id)
+            if feature and feature.status == FeatureStatus.NOT_STARTED:
+                if service.start_processing(feature_id):
+                    print(f"已开始处理: ID={feature_id}")
+            else:
+                print(f"特征计算已开始或已完成: 状态={feature.status_name if feature else '未知'}")
+
+            # 3. 完成处理（如果还在处理中）
+            print("\n3. 检查并完成处理特征计算")
+            feature = service.get_feature(feature_id)
+            if feature and feature.status == FeatureStatus.PROCESSING:
+                if service.finish_processing(feature_id, success=True):
+                    print(f"已完成处理: ID={feature_id}")
+            else:
+                print(f"特征计算已完成或未开始: 状态={feature.status_name if feature else '未知'}")
+
+            # 4. 查询特征
+            print("\n4. 查询特征记录")
+            retrieved = service.get_feature(feature_id)
+            if retrieved:
+                print(f"查询成功: ID={retrieved.id}, 状态={retrieved.status_name}")
+                print(f"处理时间: {retrieved.processing_time}秒")
+                print(f"是否有特征数据: {retrieved.has_feature_data}")
+
+            # 5. 批量创建 - 跳过已存在的
+            print("\n5. 批量创建特征记录")
+            batch_items = []
+            for i in range(3):
+                person_id = 2000 + i
+                # 检查是否已存在
+                existing = service.get_feature_by_person_and_type(person_id, 1)
+                if not existing:
+                    batch_items.append(FaceFeatureCreate(person_id=person_id, feature_type=1))
+
+            if batch_items:
+                batch_data = BatchFaceFeatureCreate(items=batch_items)
+                try:
+                    batch_result = service.create_features_batch(batch_data)
+                    print(f"批量创建成功: {len(batch_result)}条记录")
+                except ValueError as e:
+                    print(f"批量创建失败: {e}")
+            else:
+                print("所有记录已存在，跳过批量创建")
+
+            # 6. 查询列表
+            print("\n6. 查询特征记录列表")
+            query = FaceFeatureQuery(
+                feature_type=1,
+                start_date=datetime.now() - timedelta(days=1)
+            )
+
+            result = service.query_features(query, page=1, page_size=10)
+            print(f"查询结果: 共{result.total}条记录，本页{len(result.items)}条")
+
+            if result.items:
+                print(f"第一笔记录: ID={result.items[0].id}, 人员ID={result.items[0].person_id}")
+
+            # 7. 获取统计信息
+            print("\n7. 获取统计信息")
+            stats = service.get_statistics()
+            print(f"总记录数: {stats.total_count}")
+            print(f"状态分布: {stats.by_status}")
+            print(f"特征类型分布: {stats.by_feature_type}")
+
+            # 8. 更新特征数据
+            print("\n8. 更新特征数据")
+            test_feature_data = b"test_feature_data_12345"
+            success = service.update_feature_data(feature_id, test_feature_data)
+            print(f"更新特征数据: {'成功' if success else '失败'}")
+
+            # 重新查询查看更新后的数据
+            updated_feature = service.get_feature(feature_id)
+            if updated_feature:
+                print(f"更新后是否有特征数据: {updated_feature.has_feature_data}")
+
+            # 9. 演示删除操作
+            print("\n9. 演示删除操作")
+            # 先创建一个要删除的记录
+            delete_person_id = 9999  # 使用一个不存在的ID
+            delete_feature_data = FaceFeatureCreate(
+                person_id=delete_person_id,
+                feature_type=3,
+                pic_id="to_delete.jpg"
+            )
+            delete_feature = service.create_feature(delete_feature_data)
+            print(f"创建待删除记录: ID={delete_feature.id}")
+
+            # 删除记录
+            delete_success = service.delete_feature(delete_feature.id)
+            print(f"删除记录: {'成功' if delete_success else '失败'}")
+
+            # 验证删除
+            deleted_check = service.get_feature(delete_feature.id)
+            print(f"验证删除: {'记录不存在' if deleted_check is None else '记录还存在'}")
+
+        except Exception as e:
+            print(f"操作失败: {e}")
+            import traceback
+            traceback.print_exc()
+
+    # 关闭数据库连接
+    db_manager.close()
+    print("\n数据库连接已关闭")
+
+
+async def demo_async_operations():
+    """演示异步操作"""
+    print("\n=== 异步操作演示 ===")
+
+    # 注意：异步操作需要异步数据库管理器
+    # 这里仅展示结构，实际使用时需要配置异步数据库
+
+    print("异步操作示例代码已准备，需要配置异步数据库连接")
+    print("请使用 async_db_manager 和异步版本的repository")
+
+
+def main():
+    """主函数"""
+    print("人脸特征管理系统演示")
+    print("=" * 50)
+
+    # 显示配置信息
+    print(f"应用名称: {settings.APP_NAME}")
+    print(f"数据库: {settings.DATABASE_NAME}")
+    print(f"连接池大小: {settings.DATABASE_POOL_SIZE}")
+
+    try:
+        # 执行同步演示
+        demo_sync_operations()
+
+        # 如果需要异步演示，可以取消下面的注释
+        # asyncio.run(demo_async_operations())
+
+    except KeyboardInterrupt:
+        print("\n程序被用户中断")
+    except Exception as e:
+        print(f"程序执行出错: {e}")
+        import traceback
+        traceback.print_exc()
+
+    print("\n演示完成！")
+
+
+if __name__ == "__main__":
+    main()