Jerry Yan
910251e898
实现功能：
- 实现 GraphRelationRepository（Neo4jClient + Cypher）
- 实现 GraphRelationService（业务逻辑层）
- 实现 GraphRelationController（REST API）
- 新增 RelationDetail 领域对象
- 新增 RelationVO、UpdateRelationRequest DTO
API 端点：
- POST /{graphId}/relations：创建关系（201）
- GET /{graphId}/relations：分页列表查询（支持 type/page/size）
- GET /{graphId}/relations/{relationId}：单个查询
- PUT /{graphId}/relations/{relationId}：更新关系
- DELETE /{graphId}/relations/{relationId}：删除关系（204）
技术实现：
- Repository：
- 使用 Neo4jClient + Cypher 实现 CRUD
- 使用 bindAll(Map) 一次性绑定参数
- properties 字段使用 JSON 序列化存储
- 支持分页查询（SKIP/LIMIT）
- 支持类型过滤
- Service：
- graphId UUID 格式校验
- 实体存在性校验
- @Transactional 事务管理
- 信任边界说明（网关负责鉴权）
- 分页 skip 使用 long 计算，上限保护 100,000
- Controller：
- 所有 pathVariable 添加 UUID pattern 校验
- 使用 @Validated 启用参数校验
- 使用平台统一的 PagedResponse 分页响应
- DTO：
- weight/confidence 添加 @DecimalMin/@DecimalMax（0.0-1.0）
- relationType 添加 @Size（1-50）
- sourceEntityId/targetEntityId 添加 UUID pattern 校验
架构设计：
- 分层清晰：interfaces → application → domain
- Repository 返回领域对象 RelationDetail
- DTO 转换在 Service 层
- 关系类型：Neo4j 使用统一 RELATED_TO 标签，语义类型存储在 relation_type 属性
代码审查：
- 经过 2 轮 Codex 审查和 1 轮 Claude 修复
- 所有问题已解决（2个P0 + 2个P1 + 4个P2）
- 编译验证通过（mvn compile SUCCESS）
设计决策：
- 使用 Neo4jClient 而非 Neo4jRepository（@RelationshipProperties 限制）
- 分页 size 上限 200，防止大查询
- properties 使用 JSON 序列化，支持灵活扩展
- 复用现有错误码（ENTITY_NOT_FOUND、RELATION_NOT_FOUND、INVALID_RELATION）
DataMate All-in-One Data Work Platform
DataMate is an enterprise-level data processing platform for model fine-tuning and RAG retrieval, supporting core functions such as data collection, data management, operator marketplace, data cleaning, data synthesis, data annotation, data evaluation, and knowledge generation.
If you like this project, please give it a Star⭐️!
🌟 Core Features
- Core Modules: Data Collection, Data Management, Operator Marketplace, Data Cleaning, Data Synthesis, Data Annotation, Data Evaluation, Knowledge Generation.
- Visual Orchestration: Drag-and-drop data processing workflow design.
- Operator Ecosystem: Rich built-in operators and support for custom operators.
🚀 Quick Start
Prerequisites
- Git (for pulling source code)
- Make (for building and installing)
- Docker (for building images and deploying services)
- Docker-Compose (for service deployment - Docker method)
- Kubernetes (for service deployment - k8s method)
- Helm (for service deployment - k8s method)
This project supports deployment via two methods: docker-compose and helm. After executing the command, please enter the corresponding number for the deployment method. The command echo is as follows:
Choose a deployment method:
1. Docker/Docker-Compose
2. Kubernetes/Helm
Enter choice:
Clone the Code
git clone git@github.com:ModelEngine-Group/DataMate.git
cd DataMate
Deploy the basic services
make install
If the machine you are using does not have make installed, please run the following command to deploy it:
# Windows
set REGISTRY=ghcr.io/modelengine-group/
docker compose -f ./deployment/docker/datamate/docker-compose.yml up -d
docker compose -f ./deployment/docker/milvus/docker-compose.yml up -d
# Linux/Mac
export REGISTRY=ghcr.io/modelengine-group/
docker compose -f ./deployment/docker/datamate/docker-compose.yml up -d
docker compose -f ./deployment/docker/milvus/docker-compose.yml up -d
Once the container is running, access http://localhost:30000 in a browser to view the front-end interface.
To list all available Make targets, flags and help text, run:
make help
Build and deploy Mineru Enhanced PDF Processing
make build-mineru
make install-mineru
Deploy the DeerFlow service
make install-deer-flow
Local Development and Deployment
After modifying the local code, please execute the following commands to build the image and deploy using the local image.
make build
make install dev=true
Uninstall
make uninstall
When running make uninstall, the installer will prompt once whether to delete volumes; that single choice is applied to all components. The uninstall order is: milvus -> label-studio -> datamate, which ensures the datamate network is removed cleanly after services that use it have stopped.
🤝 Contribution Guidelines
Thank you for your interest in this project! We warmly welcome contributions from the community. Whether it's submitting bug reports, suggesting new features, or directly participating in code development, all forms of help make the project better.
• 📮 GitHub Issues: Submit bugs or feature suggestions.
• 🔧 GitHub Pull Requests: Contribute code improvements.
📄 License
DataMate is open source under the MIT license. You are free to use, modify, and distribute the code of this project in compliance with the license terms.