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jordium-gantt-vue3/scripts/generate-large-data.js
T

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JavaScript

import fs from 'fs'
import path from 'path'
import { fileURLToPath } from 'url'
const __filename = fileURLToPath(import.meta.url)
const __dirname = path.dirname(__filename)
// 生成大数据集:100个资源,每个资源20-30个任务,总计约2500个任务
// 用于测试资源视图的垂直滚动性能和区间树算法优化效果
function generateLargeResourceData() {
const resources = []
const departments = ['研发部', '临床部', '质量部', '注册部', '生产部', '市场部', '工程部', '测试部']
const types = ['研究员', '试验主任', '数据分析师', '质量专员', '注册专员', '项目经理', '工程师', '测试工程师']
const colors = ['#2196f3', '#4caf50', '#ff9800', '#f44336', '#9c27b0', '#00bcd4', '#8bc34a', '#ffc107', '#e91e63', '#3f51b5']
for (let i = 1; i <= 100; i++) {
const resourceId = `resource-${i.toString().padStart(3, '0')}`
const taskCount = 20 + Math.floor(Math.random() * 11) // 20-30个任务
const tasks = []
const taskIdStart = i * 1000
// 为每个资源生成任务
for (let j = 0; j < taskCount; j++) {
const taskId = taskIdStart + j
const startDay = Math.floor(Math.random() * 365) // 365天内随机开始
const duration = 3 + Math.floor(Math.random() * 28) // 3-30天
const startDate = new Date(2025, 0, 1)
startDate.setDate(startDate.getDate() + startDay)
const endDate = new Date(startDate)
endDate.setDate(endDate.getDate() + duration)
const capacity = [25, 50, 75, 100][Math.floor(Math.random() * 4)]
tasks.push({
id: taskId,
name: `任务${taskId} - ${['需求分析', '方案设计', '实施开发', '测试验证', '文档编写', '评审会议'][j % 6]}`,
startDate: startDate.toISOString().split('T')[0],
endDate: endDate.toISOString().split('T')[0],
progress: Math.floor(Math.random() * 100),
type: ['task', 'story', 'bug', 'milestone'][Math.floor(Math.random() * 4)],
resources: [
{
id: resourceId,
name: `资源${i}`,
capacity,
},
],
})
}
resources.push({
id: resourceId,
name: `资源${i} - ${types[i % types.length]}`,
type: types[i % types.length],
avatar: `https://i.pravatar.cc/150?img=${i}`,
department: departments[i % departments.length],
skills: ['技能A', '技能B', '技能C'],
capacity: 60 + Math.floor(Math.random() * 40),
color: colors[i % colors.length],
tasks,
})
}
return {
resources,
meta: {
generated: new Date().toISOString(),
resourceCount: resources.length,
taskCount: resources.reduce((sum, r) => sum + r.tasks.length, 0),
description: '性能测试用大数据集 - 100个资源,约2500个任务,用于测试垂直滚动性能和区间树算法优化效果',
},
}
}
const data = generateLargeResourceData()
const outputPath = path.join(__dirname, '..', 'demo', 'data-resources-large.json')
fs.writeFileSync(
outputPath,
JSON.stringify(data, null, 2),
'utf-8',
)
console.log('✅ 已生成大数据集:')
console.log(` - 资源数: ${data.meta.resourceCount}`)
console.log(` - 任务数: ${data.meta.taskCount}`)
console.log(' - 文件: demo/data-resources-large.json')