最近在做流程图功能开发，发现阿里antV 有对应的可视化引擎，于是自己做了一个简单vue 基于antV 实现流程图编辑器代码

部分代码如下：

<template>
  <div id="flowEditorContent">
    <header>
      <h3>antv X6 流程编辑器</h3>
      <div class="right">
        <el-button type="primary" size="min" @click="save">保存</el-button>
        <el-button type="warning" size="min" @click="show">回显</el-button>
      </div>
    </header>
    <div class="flowEditor" id="container"></div>
  </div>
</template>

<style lang="scss" scoped>
  header {
    display: flex;
    justify-content: space-between;
    position: relative;
    z-index: 1;
    padding: 0 20px;
    height: 50px;
    line-height: 50px;
    margin-bottom: 2px;
    box-shadow: 0 2px 5px #ccc;
    background: #5f95ff;
    h3 {
      text-align: left;
      color: #fff;
      font-size: 23px;
      font-weight: bolder;
    }
    ::v-deep.el-button {
      height: 30px;
      line-height: 30px;
      padding: 0 10px;
      span {
        color: #fff;
      }
    }
  }
  #container {
    min-width: 400px;
    height: calc(100vh - 50px);
    display: flex;
    border: 1px solid #dfe3e8;
  }
</style>

const graph = new Graph({
        container: document.getElementById('graph-container'),
        grid: true,
        mousewheel: {
          enabled: true,
          zoomAtMousePosition: true,
          modifiers: 'ctrl',
          minScale: 0.5,
          maxScale: 3,
        },
        connecting: {
          router: 'manhattan',
          connector: {
            name: 'rounded',
            args: {
              radius: 8,
            },
          },
          anchor: 'center',
          connectionPoint: 'anchor',
          allowBlank: false,
          snap: {
            radius: 20,
          },
          createEdge () {
            return new Shape.Edge({
              attrs: {
                line: {
                  stroke: '#A2B1C3',
                  strokeWidth: 2,
                  targetMarker: {
                    name: 'block',
                    width: 12,
                    height: 8,
                  },
                },
              },
              zIndex: 0,
            });
          },
          validateConnection ({ targetMagnet }) {
            return !!targetMagnet;
          },
        },
        highlighting: {
          magnetAdsorbed: {
            name: 'stroke',
            args: {
              attrs: {
                fill: '#5F95FF',
                stroke: '#5F95FF',
              },
            },
          },
        },
      });

// delete
      graph.bindKey('backspace', () => {
        const cells = graph.getSelectedCells();
        if (cells.length) {
          graph.removeCells(cells);
        }
      });

      // zoom
      graph.bindKey(['ctrl+1', 'meta+1'], () => {
        const zoom = graph.zoom();
        if (zoom < 1.5) {
          graph.zoom(0.1);
        }
      });
      graph.bindKey(['ctrl+2', 'meta+2'], () => {
        const zoom = graph.zoom();
        if (zoom > 0.5) {
          graph.zoom(-0.1);
        }
      });

const showPorts = (ports, show) => {
        for (let i = 0, len = ports.length; i < len; i += 1) {
          ports[i].style.visibility = show ? 'visible' : 'hidden';
        }
      };
      graph.on('node:mouseenter', () => {
        const container = document.getElementById('graph-container');
        const ports = container.querySelectorAll(
          '.x6-port-body',
        );
        showPorts(ports, true);
      });
      graph.on('node:mouseleave', () => {
        const container = document.getElementById('graph-container');
        const ports = container.querySelectorAll(
          '.x6-port-body',
        );
        showPorts(ports, false);
      });