指标依赖关系图echarts force配置项内容和展示

此为指标依赖关系图

      let res = [
                {"id":122,"parentId":3636,"preId":1,"childId":3604},
                {"id":123,"parentId":3636,"preId":2,"childId":3605},
                {"id":124,"parentId":3636,"preId":3,"childId":3611},
                {"id":125,"parentId":3636,"preId":4,"childId":3612},
                {"id":126,"parentId":3636,"preId":5,"childId":3526},
                {"id":127,"parentId":3636,"preId":6,"childId":3527},
                {"id":128,"parentId":3636,"preId":7,"childId":3528},
                {"id":129,"parentId":3636,"preId":8,"childId":3481},
                {"id":130,"parentId":3636,"preId":9,"childId":3482},
                {"id":131,"parentId":3636,"preId":10,"childId":3467},
                {"id":132,"parentId":3636,"preId":11,"childId":3468},
                {"id":133,"parentId":3636,"preId":12,"childId":3465},
                {"id":134,"parentId":3636,"preId":13,"childId":3466},
                {"id":135,"parentId":3636,"preId":14,"childId":3464},
                {"id":136,"parentId":3636,"preId":15,"childId":3490},
                {"id":137,"parentId":3636,"preId":16,"childId":3463},
                {"id":138,"parentId":3636,"preId":17,"childId":3461},
                {"id":139,"parentId":3636,"preId":18,"childId":3462},
                {"id":140,"parentId":3636,"preId":19,"childId":3486},
                {"id":141,"parentId":3636,"preId":20,"childId":3491},
                {"id":142,"parentId":3636,"preId":21,"childId":3458},
                {"id":143,"parentId":3636,"preId":22,"childId":3459},
                {"id":144,"parentId":3636,"preId":23,"childId":3488},
                {"id":145,"parentId":3636,"preId":24,"childId":3456},
                {"id":146,"parentId":3636,"preId":25,"childId":3457},
                {"id":147,"parentId":3636,"preId":26,"childId":3454},
                {"id":148,"parentId":3636,"preId":27,"childId":3475},
                {"id":149,"parentId":3636,"preId":28,"childId":3476},
                {"id":150,"parentId":3636,"preId":29,"childId":3483},
                {"id":151,"parentId":3636,"preId":30,"childId":3477},
                {"id":152,"parentId":3636,"preId":31,"childId":3478},
                {"id":153,"parentId":3636,"preId":32,"childId":3451},
                {"id":154,"parentId":3462,"preId":33,"childId":3452},
                {"id":155,"parentId":3636,"preId":34,"childId":3453},{"id":156,"parentId":3636,"preId":35,"childId":3614},
                {"id":157,"parentId":3636,"preId":36,"childId":3450},{"id":158,"parentId":3636,"preId":37,"childId":3449},
                {"id":159,"parentId":3636,"preId":38,"childId":3492},{"id":160,"parentId":3636,"preId":39,"childId":3447},
                {"id":161,"parentId":3636,"preId":40,"childId":3448},{"id":162,"parentId":3636,"preId":41,"childId":3446},
            ]
            let resArr = []
            res.forEach(e => {
                resArr.push(e.childId)
                resArr.push(e.parentId)
            });
            var arr = new Set(resArr);
            let arry = [...arr]
            let dataEachart = arry.map((v,i)=>{
                return {
                    name: v.toString(),
                    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',
                    symbolSize: [60,60],
                    label: {
                        formatter: function(rel){
                            return [
                                '{a|ORA_INST_GENERAL}',
                                // '{b|(实例总览信息)}',
                                // '{c|ORACLE}'
                            ].join('\n')
                            return 'xxx'
                        },
                        padding: [0, 0, 0, 0],
                        rich: {
                            a: {
                                color: '#333',
                                lineHeight: 80,
                                fontSize:12,
                                align:'center',
                                verticalAlign:'bottom',
                            },
                            b: {
                                color: '#999',
                                lineHeight: 20,
                                align:'center',
                                fontSize:12,
                            },
                            c: {
                                color: '#fff',
                                fontSize:12,
                                align:'center',
                                lineHeight: 20,
                                backgroundColor:'#017CFF',
                                padding:[3,5],
                                borderRadius:3
                            },
                        }
                    }
                }
            })
            let links = res.map(v=>{
                return {
                    source: v.childId.toString(),
                    target: v.parentId.toString(),
                }
            })
            // 指定图表的配置项和数据
            var option = {
                title: {
                    text: "指标依赖关系图",
                },
                tooltip: {
                    borderColor:"#fff",
                    extraCssText: 'box-shadow: 0 0 3px rgba(0, 0, 0, 0.3);',
                    padding: [5, 10],
                    formatter :function(val){
                        return `<span class="richa"><b class="circleB"></b>${val.name}11111111</span>
                        </br><span class="richb"><b class="circleB"></b>${val.name}</span></br><span class="richc"><b class="circleB"></b>${val.name}</span>`
                    }
                },
                animationDurationUpdate: 1500,
                animationEasingUpdate: "quinticInOut",
                series: [
                    {
                        type: "graph",
                        zoom:0.6,
                        symbolSize: 50,
                        roam: true,
                        label: {
                            show: true,
                        },
                        edgeSymbol: ["circle", "arrow"],
                        edgeSymbolSize: [4, 5],
                        edgeLabel: {
                            fontSize: 20,
                        },
                        layout:'force',
                        force: {
                            edgeLength: 400,
                            repulsion: 2000,
                            gravity: 0.1
                        },
                        data: dataEachart,
                        links: links,
                        lineStyle: {
                            opacity: 1,
                            width: 1,
                            curveness: 0,
                        },
                    },
                ],
            };