You've already forked DataMate
feat(kg): 实现 Phase 3.1 前端图谱浏览器
核心功能： - G6 v5 力导向图，支持交互式缩放、平移、拖拽 - 5 种布局模式：force, circular, grid, radial, concentric - 双击展开节点邻居到图中（增量探索） - 全文搜索，类型过滤，结果高亮（变暗/高亮状态） - 节点详情抽屉：实体属性、别名、置信度、关系列表（可导航） - 关系详情抽屉：类型、源/目标、权重、置信度、属性 - 查询构建器：最短路径/全路径查询，可配置 maxDepth/maxPaths - 基于 UUID 的图加载（输入或 URL 参数 ?graphId=...） - 大图性能优化（200 节点阈值，超过时禁用动画） 新增文件（13 个）： - knowledge-graph.model.ts - TypeScript 接口，匹配 Java DTOs - knowledge-graph.api.ts - API 服务，包含所有 KG REST 端点 - knowledge-graph.const.ts - 实体类型颜色、关系类型标签、中文显示名称 - graphTransform.ts - 后端数据 → G6 节点/边格式转换 + 合并工具 - graphConfig.ts - G6 v5 图配置（节点/边样式、行为、布局） - hooks/useGraphData.ts - 数据钩子：加载子图、展开节点、搜索、合并 - hooks/useGraphLayout.ts - 布局钩子：5 种布局类型 - components/GraphCanvas.tsx - G6 v5 画布，力导向布局，缩放/平移/拖拽 - components/SearchPanel.tsx - 全文实体搜索，类型过滤 - components/NodeDetail.tsx - 实体详情抽屉 - components/RelationDetail.tsx - 关系详情抽屉 - components/QueryBuilder.tsx - 路径查询构建器 - Home/KnowledgeGraphPage.tsx - 主页面，整合所有组件 修改文件（5 个）： - package.json - 添加 @antv/g6 v5 依赖 - vite.config.ts - 添加 /knowledge-graph 代理规则 - auth/permissions.ts - 添加 knowledgeGraphRead/knowledgeGraphWrite - pages/Layout/menu.tsx - 添加知识图谱菜单项（Network 图标） - routes/routes.ts - 添加 /data/knowledge-graph 路由 新增文档（10 个）： - docs/knowledge-graph/ - 完整的知识图谱设计文档 Bug 修复（Codex 审查后修复）： - P1: 详情抽屉状态与选中状态不一致（显示旧数据） - P1: 查询构建器未实现（最短路径/多路径查询） - P2: 实体类型映射 Organization → Org（匹配后端） - P2: getSubgraph depth 参数无效（改用正确端点） - P2: AllPathsVO 字段名不一致（totalPaths → pathCount） - P2: 搜索取消逻辑无效（传递 AbortController.signal） - P2: 大图性能优化（动画降级） - P3: 移除未使用的类型导入 构建验证： - tsc --noEmit ✅ clean - eslint ✅ 0 errors/warnings - vite build ✅ successful
This commit is contained in:
469
docs/knowledge-graph/schema/schema.cypher
Normal file
469
docs/knowledge-graph/schema/schema.cypher
Normal file
@@ -0,0 +1,469 @@
|
||||
// =============================================================================
|
||||
// DataMate 知识图谱 - Neo4j Schema 初始化脚本
|
||||
// Schema 版本：1.0.0
|
||||
// 更新日期：2026-02-17
|
||||
//
|
||||
// 使用方式：
|
||||
// 1. 通过 Cypher Shell 执行：
|
||||
// cat schema.cypher | cypher-shell -u neo4j -p <password>
|
||||
// 2. 或在 Neo4j Browser 中逐段执行
|
||||
//
|
||||
// 注意：
|
||||
// - 所有索引和约束使用 IF NOT EXISTS，可重复执行
|
||||
// - 约束自动创建对应索引，无需重复创建
|
||||
// - 关系属性索引需要 Neo4j Enterprise Edition，社区版使用属性内联匹配
|
||||
// =============================================================================
|
||||
|
||||
// =============================================================================
|
||||
// 第 1 部分：节点约束
|
||||
// =============================================================================
|
||||
|
||||
// Entity 节点 ID 唯一性约束（自动创建索引）
|
||||
CREATE CONSTRAINT entity_id_unique IF NOT EXISTS
|
||||
FOR (n:Entity) REQUIRE n.id IS UNIQUE;
|
||||
|
||||
// =============================================================================
|
||||
// 第 2 部分：节点索引
|
||||
// =============================================================================
|
||||
|
||||
// graph_id 索引 —— 多租户隔离的核心索引，所有查询都会带上 graph_id
|
||||
CREATE INDEX entity_graph_id IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.graph_id);
|
||||
|
||||
// type 索引 —— 按实体类型过滤
|
||||
CREATE INDEX entity_type IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.type);
|
||||
|
||||
// name 索引 —— 按名称搜索
|
||||
CREATE INDEX entity_name IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.name);
|
||||
|
||||
// source_id 索引 —— MySQL → Neo4j 同步时按源 ID 查找
|
||||
CREATE INDEX entity_source_id IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.source_id);
|
||||
|
||||
// 复合索引：(graph_id, type) —— 查询某图谱内指定类型的实体
|
||||
CREATE INDEX entity_graph_id_type IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.graph_id, n.type);
|
||||
|
||||
// 复合索引：(graph_id, id) —— 精确查找实体（最常用查询路径）
|
||||
CREATE INDEX entity_graph_id_id IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.graph_id, n.id);
|
||||
|
||||
// 复合索引：(graph_id, source_id) —— 同步时按源 ID 查找
|
||||
CREATE INDEX entity_graph_id_source_id IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.graph_id, n.source_id);
|
||||
|
||||
// created_at 索引 —— 按创建时间排序
|
||||
CREATE INDEX entity_created_at IF NOT EXISTS
|
||||
FOR (n:Entity) ON (n.created_at);
|
||||
|
||||
// =============================================================================
|
||||
// 第 3 部分：全文索引（用于模糊搜索）
|
||||
// =============================================================================
|
||||
|
||||
// Entity name + description 全文索引
|
||||
CREATE FULLTEXT INDEX entity_fulltext IF NOT EXISTS
|
||||
FOR (n:Entity) ON EACH [n.name, n.description];
|
||||
|
||||
// =============================================================================
|
||||
// 第 3.1 部分：SyncHistory 约束和索引（同步元数据节点）
|
||||
// =============================================================================
|
||||
|
||||
// (graph_id, sync_id) 唯一约束 —— 防止 syncId 碰撞产生重复记录
|
||||
CREATE CONSTRAINT sync_history_graph_sync_unique IF NOT EXISTS
|
||||
FOR (h:SyncHistory) REQUIRE (h.graph_id, h.sync_id) IS UNIQUE;
|
||||
|
||||
// (graph_id, started_at) 索引 —— 加速按时间范围查询同步历史
|
||||
CREATE INDEX sync_history_graph_started IF NOT EXISTS
|
||||
FOR (h:SyncHistory) ON (h.graph_id, h.started_at);
|
||||
|
||||
// (graph_id, status, started_at) 索引 —— 加速按状态+时间的过滤查询
|
||||
CREATE INDEX sync_history_graph_status_started IF NOT EXISTS
|
||||
FOR (h:SyncHistory) ON (h.graph_id, h.status, h.started_at);
|
||||
|
||||
// =============================================================================
|
||||
// 第 4 部分：关系属性说明
|
||||
// =============================================================================
|
||||
|
||||
// Neo4j 社区版不支持关系属性索引。
|
||||
// 所有关系查询通过节点索引定位后，在关系上使用属性内联匹配：
|
||||
// -[r:RELATED_TO {graph_id: $graphId, relation_type: $type}]->
|
||||
//
|
||||
// 如果使用 Neo4j Enterprise Edition，可取消以下注释创建关系索引：
|
||||
//
|
||||
// CREATE INDEX rel_graph_id IF NOT EXISTS
|
||||
// FOR ()-[r:RELATED_TO]-() ON (r.graph_id);
|
||||
//
|
||||
// CREATE INDEX rel_relation_type IF NOT EXISTS
|
||||
// FOR ()-[r:RELATED_TO]-() ON (r.relation_type);
|
||||
//
|
||||
// CREATE INDEX rel_id IF NOT EXISTS
|
||||
// FOR ()-[r:RELATED_TO]-() ON (r.id);
|
||||
|
||||
// =============================================================================
|
||||
// 第 5 部分：示例数据（可选，用于验证 Schema）
|
||||
// =============================================================================
|
||||
|
||||
// 以下示例数据使用固定的 graph_id，用于开发和测试环境。
|
||||
// 生产环境中 graph_id 由应用层生成和管理。
|
||||
|
||||
// --- 创建示例组织 ---
|
||||
CREATE (org:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000001',
|
||||
name: '数据工程部',
|
||||
type: 'Org',
|
||||
description: '负责数据采集、清洗和标注',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_type: 'MANUAL',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"org_code":"DE","level":1,"member_count":15}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例用户 ---
|
||||
CREATE (user:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000002',
|
||||
name: '张三',
|
||||
type: 'User',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"username":"zhangsan","email":"zhangsan@example.com","role":"USER","enabled":true}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例数据集（源） ---
|
||||
CREATE (ds1:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000010',
|
||||
name: '用户行为日志-原始',
|
||||
type: 'Dataset',
|
||||
description: '原始用户行为埋点数据',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_id: '100',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"dataset_type":"TEXT","status":"ACTIVE","category":"用户行为","format":"JSON","record_count":2000000,"size_bytes":3221225472}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例数据集（清洗后） ---
|
||||
CREATE (ds2:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000011',
|
||||
name: '用户行为日志-清洗后',
|
||||
type: 'Dataset',
|
||||
description: '经过去重和格式标准化的用户行为数据',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_id: '101',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"dataset_type":"TEXT","status":"ACTIVE","category":"用户行为","format":"JSON","record_count":1500000,"size_bytes":2147483648,"version":1}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例字段 ---
|
||||
CREATE (f1:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000020',
|
||||
name: 'user_id',
|
||||
type: 'Field',
|
||||
description: '用户唯一标识符',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"data_type":"STRING","nullable":false,"is_primary_key":true}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
CREATE (f2:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000021',
|
||||
name: 'event_type',
|
||||
type: 'Field',
|
||||
description: '事件类型',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"data_type":"STRING","nullable":false,"sample_values":["click","view","purchase"]}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
CREATE (f3:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000022',
|
||||
name: 'user_id',
|
||||
type: 'Field',
|
||||
description: '用户唯一标识符（清洗后）',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"data_type":"STRING","nullable":false,"is_primary_key":true}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例工作流 ---
|
||||
CREATE (wf:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000030',
|
||||
name: '文本去重清洗管道',
|
||||
type: 'Workflow',
|
||||
description: 'SimHash去重 + 格式标准化 + 空值过滤',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"workflow_type":"CLEANING","status":"ACTIVE","version":"1.0","operator_count":3}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例作业 ---
|
||||
CREATE (job:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000040',
|
||||
name: '清洗作业-20260215-001',
|
||||
type: 'Job',
|
||||
description: '用户行为日志去重清洗',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_id: '500',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"job_type":"CLEANING","status":"COMPLETED","started_at":"2026-02-15T10:00:00","completed_at":"2026-02-15T10:35:00","duration_seconds":2100,"input_count":2000000,"output_count":1500000}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例标注任务 ---
|
||||
CREATE (lt:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000050',
|
||||
name: '情感分析标注-批次1',
|
||||
type: 'LabelTask',
|
||||
description: '用户评论情感标注（正面/负面/中性）',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_id: '600',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"task_mode":"MANUAL","data_type":"text","labeling_type":"sentiment_analysis","status":"IN_PROGRESS","progress":30.0,"template_name":"情感分析"}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// --- 创建示例知识集 ---
|
||||
CREATE (ks:Entity {
|
||||
id: '00000000-0000-0000-0000-000000000060',
|
||||
name: '用户行为分析知识库',
|
||||
type: 'KnowledgeSet',
|
||||
description: '从用户行为数据中提取的业务规则和洞察',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
source_type: 'SYNC',
|
||||
confidence: 1.0,
|
||||
properties_json: '{"status":"PUBLISHED","domain":"用户行为","business_line":"数据分析","sensitivity":"INTERNAL","item_count":85}',
|
||||
created_at: datetime()
|
||||
});
|
||||
|
||||
// =============================================================================
|
||||
// 第 6 部分：示例关系
|
||||
// =============================================================================
|
||||
|
||||
// HAS_FIELD：源数据集 → 字段
|
||||
MATCH (ds1:Entity {id: '00000000-0000-0000-0000-000000000010'})
|
||||
MATCH (f1:Entity {id: '00000000-0000-0000-0000-000000000020'})
|
||||
CREATE (ds1)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000001',
|
||||
relation_type: 'HAS_FIELD',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"ordinal":0,"required":true}',
|
||||
created_at: datetime()
|
||||
}]->(f1);
|
||||
|
||||
MATCH (ds1:Entity {id: '00000000-0000-0000-0000-000000000010'})
|
||||
MATCH (f2:Entity {id: '00000000-0000-0000-0000-000000000021'})
|
||||
CREATE (ds1)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000002',
|
||||
relation_type: 'HAS_FIELD',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"ordinal":1,"required":true}',
|
||||
created_at: datetime()
|
||||
}]->(f2);
|
||||
|
||||
// HAS_FIELD：清洗后数据集 → 字段
|
||||
MATCH (ds2:Entity {id: '00000000-0000-0000-0000-000000000011'})
|
||||
MATCH (f3:Entity {id: '00000000-0000-0000-0000-000000000022'})
|
||||
CREATE (ds2)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000003',
|
||||
relation_type: 'HAS_FIELD',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"ordinal":0,"required":true}',
|
||||
created_at: datetime()
|
||||
}]->(f3);
|
||||
|
||||
// DERIVED_FROM：清洗后数据集 → 源数据集
|
||||
MATCH (ds2:Entity {id: '00000000-0000-0000-0000-000000000011'})
|
||||
MATCH (ds1:Entity {id: '00000000-0000-0000-0000-000000000010'})
|
||||
CREATE (ds2)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000004',
|
||||
relation_type: 'DERIVED_FROM',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"derivation_type":"CLEANING","job_id":"00000000-0000-0000-0000-000000000040","transformation":"SimHash去重 + 空值过滤"}',
|
||||
created_at: datetime()
|
||||
}]->(ds1);
|
||||
|
||||
// TRIGGERS：工作流 → 作业
|
||||
MATCH (wf:Entity {id: '00000000-0000-0000-0000-000000000030'})
|
||||
MATCH (job:Entity {id: '00000000-0000-0000-0000-000000000040'})
|
||||
CREATE (wf)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000005',
|
||||
relation_type: 'TRIGGERS',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"trigger_type":"MANUAL","triggered_at":"2026-02-15T10:00:00"}',
|
||||
created_at: datetime()
|
||||
}]->(job);
|
||||
|
||||
// USES_DATASET：作业 → 源数据集
|
||||
MATCH (job:Entity {id: '00000000-0000-0000-0000-000000000040'})
|
||||
MATCH (ds1:Entity {id: '00000000-0000-0000-0000-000000000010'})
|
||||
CREATE (job)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000006',
|
||||
relation_type: 'USES_DATASET',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"usage_role":"INPUT"}',
|
||||
created_at: datetime()
|
||||
}]->(ds1);
|
||||
|
||||
// PRODUCES：作业 → 清洗后数据集
|
||||
MATCH (job:Entity {id: '00000000-0000-0000-0000-000000000040'})
|
||||
MATCH (ds2:Entity {id: '00000000-0000-0000-0000-000000000011'})
|
||||
CREATE (job)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000007',
|
||||
relation_type: 'PRODUCES',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"output_type":"PRIMARY"}',
|
||||
created_at: datetime()
|
||||
}]->(ds2);
|
||||
|
||||
// ASSIGNED_TO：标注任务 → 用户
|
||||
MATCH (lt:Entity {id: '00000000-0000-0000-0000-000000000050'})
|
||||
MATCH (user:Entity {id: '00000000-0000-0000-0000-000000000002'})
|
||||
CREATE (lt)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000008',
|
||||
relation_type: 'ASSIGNED_TO',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"assigned_at":"2026-02-14T09:00:00","role":"EXECUTOR"}',
|
||||
created_at: datetime()
|
||||
}]->(user);
|
||||
|
||||
// USES_DATASET：标注任务 → 清洗后数据集
|
||||
MATCH (lt:Entity {id: '00000000-0000-0000-0000-000000000050'})
|
||||
MATCH (ds2:Entity {id: '00000000-0000-0000-0000-000000000011'})
|
||||
CREATE (lt)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000009',
|
||||
relation_type: 'USES_DATASET',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"usage_role":"INPUT"}',
|
||||
created_at: datetime()
|
||||
}]->(ds2);
|
||||
|
||||
// BELONGS_TO：用户 → 组织
|
||||
MATCH (user:Entity {id: '00000000-0000-0000-0000-000000000002'})
|
||||
MATCH (org:Entity {id: '00000000-0000-0000-0000-000000000001'})
|
||||
CREATE (user)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000010',
|
||||
relation_type: 'BELONGS_TO',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"membership_type":"PRIMARY","since":"2025-03-01T00:00:00"}',
|
||||
created_at: datetime()
|
||||
}]->(org);
|
||||
|
||||
// BELONGS_TO：源数据集 → 组织
|
||||
MATCH (ds1:Entity {id: '00000000-0000-0000-0000-000000000010'})
|
||||
MATCH (org:Entity {id: '00000000-0000-0000-0000-000000000001'})
|
||||
CREATE (ds1)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000011',
|
||||
relation_type: 'BELONGS_TO',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 1.0,
|
||||
source_id: '',
|
||||
properties_json: '{"membership_type":"PRIMARY"}',
|
||||
created_at: datetime()
|
||||
}]->(org);
|
||||
|
||||
// IMPACTS：源字段 → 清洗后字段
|
||||
MATCH (f1:Entity {id: '00000000-0000-0000-0000-000000000020'})
|
||||
MATCH (f3:Entity {id: '00000000-0000-0000-0000-000000000022'})
|
||||
CREATE (f1)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000012',
|
||||
relation_type: 'IMPACTS',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 0.95,
|
||||
source_id: '',
|
||||
properties_json: '{"impact_type":"DIRECT","job_id":"00000000-0000-0000-0000-000000000040"}',
|
||||
created_at: datetime()
|
||||
}]->(f3);
|
||||
|
||||
// SOURCED_FROM：知识集 → 清洗后数据集
|
||||
MATCH (ks:Entity {id: '00000000-0000-0000-0000-000000000060'})
|
||||
MATCH (ds2:Entity {id: '00000000-0000-0000-0000-000000000011'})
|
||||
CREATE (ks)-[:RELATED_TO {
|
||||
id: '00000000-0000-0000-0000-100000000013',
|
||||
relation_type: 'SOURCED_FROM',
|
||||
graph_id: '11111111-1111-1111-1111-111111111111',
|
||||
weight: 1.0,
|
||||
confidence: 0.85,
|
||||
source_id: '',
|
||||
properties_json: '{"extraction_method":"LLM","extracted_at":"2026-02-16T14:30:00","item_count":85}',
|
||||
created_at: datetime()
|
||||
}]->(ds2);
|
||||
|
||||
// =============================================================================
|
||||
// 第 7 部分：验证查询
|
||||
// =============================================================================
|
||||
|
||||
// 验证节点数量
|
||||
// MATCH (n:Entity {graph_id: '11111111-1111-1111-1111-111111111111'})
|
||||
// RETURN n.type AS type, count(*) AS count
|
||||
// ORDER BY count DESC;
|
||||
|
||||
// 验证关系数量
|
||||
// MATCH (:Entity {graph_id: '11111111-1111-1111-1111-111111111111'})
|
||||
// -[r:RELATED_TO {graph_id: '11111111-1111-1111-1111-111111111111'}]->
|
||||
// (:Entity {graph_id: '11111111-1111-1111-1111-111111111111'})
|
||||
// RETURN r.relation_type AS type, count(*) AS count
|
||||
// ORDER BY count DESC;
|
||||
|
||||
// 验证端到端血缘
|
||||
// MATCH path = (ds2:Entity {name: '用户行为日志-清洗后'})
|
||||
// -[:RELATED_TO *1..5]->
|
||||
// (origin:Entity)
|
||||
// WHERE ALL(r IN relationships(path) WHERE r.graph_id = '11111111-1111-1111-1111-111111111111')
|
||||
// RETURN path;
|
||||
|
||||
// =============================================================================
|
||||
// 第 8 部分：清理示例数据（可选）
|
||||
// =============================================================================
|
||||
|
||||
// 如需清理示例数据，执行以下语句：
|
||||
// MATCH (n:Entity {graph_id: '11111111-1111-1111-1111-111111111111'})
|
||||
// DETACH DELETE n;
|
||||
Reference in New Issue
Block a user