vue结合neo4j使用echarts实现图谱可视化代码

下面是一个简单的示例代码，展示了如何使用Vue.js、Neo4j和ECharts来实现图谱可视化：

1. 安装依赖：

npm install neo4j-driver echarts --save

2. 在Vue.js组件中引入neo4j-driver和echarts：

import neo4j from 'neo4j-driver';
import echarts from 'echarts';

3. 定义Neo4j连接：

const driver = neo4j.driver(
  'bolt://localhost:7687',
  neo4j.auth.basic('neo4j', 'password')
);

4. 实现查询Neo4j数据库的函数：

async function runCypherQuery(query, params) {
  const session = driver.session();
  const result = await session.run(query, params);
  session.close();
  return result.records;
}

5. 在Vue.js组件中定义ECharts实例和数据：

data() {
  return {
    chart: null,
    chartData: {
      nodes: [],
      links: []
    }
  };
},
mounted() {
  this.chart = echarts.init(this.$refs.chart);
}

6. 实现查询Neo4j数据库并将结果转换为ECharts数据格式的函数：

async function queryAndTransformData() {
  const result = await runCypherQuery('MATCH (n)-[r]->(m) RETURN n,r,m', {});
  const nodes = [];
  const links = [];
  for (const record of result) {
    const node1 = record.get('n');
    const node2 = record.get('m');
    const link = record.get('r');
    const node1Index = nodes.findIndex(node => node.id === node1.identity.toString());
    const node2Index = nodes.findIndex(node => node.id === node2.identity.toString());
    if (node1Index === -1) {
      nodes.push({
        id: node1.identity.toString(),
        name: node1.properties.name
      });
    }
    if (node2Index === -1) {
      nodes.push({
        id: node2.identity.toString(),
        name: node2.properties.name
      });
    }
    links.push({
      source: node1.identity.toString(),
      target: node2.identity.toString(),
      name: link.type
    });
  }
  return {
    nodes,
    links
  };
}

7. 在Vue.js组件中实现获取数据、更新ECharts图表的函数：

async function updateChart() {
  const data = await queryAndTransformData();
  this.chartData = data;
  const option = {
    series: [
      {
        type: 'graph',
        layout: 'force',
        force: {
          repulsion: 100,
          edgeLength: 50
        },
        data: data.nodes.map(node => ({
          name: node.name,
          draggable: true
        })),
        links: data.links.map(link => ({
          source: link.source,
          target: link.target,
          name: link.name
        })),
        label: {
          show: true
        },
        lineStyle: {
          width: 2,
          curveness: 0.3,
          color: '#999'
        }
      }
    ]
  };
  this.chart.setOption(option);
}

8. 在Vue.js组件中调用updateChart()函数以获取数据并更新ECharts图表：

mounted() {
  this.chart = echarts.init(this.$refs.chart);
  this.updateChart();
},
methods: {
  async updateChart() {
    // 实现updateChart函数的代码
  }
}

希望这个示例代码能够帮助你开始使用Vue.js、Neo4j和ECharts来实现图谱可视化。