fix: 完善数据分析导出并避免乱码
为导出CSV增加转义处理，补齐多维度与一级需求部门数据，避免数据缺失。
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@ -1759,27 +1759,50 @@ const getWarningActionText = (type: string) => {
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// 导出数据为 CSV
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const exportData = () => {
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if (loading.value) {
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message.warning('数据正在加载中，请稍后再导出')
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return
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}
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const monthStr = selectedMonth.value || dayjs().format('YYYY-MM')
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let csvContent = '\uFEFF' // BOM for UTF-8 encoding
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const csvEscape = (value: any) => {
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const str = value === null || value === undefined ? '' : String(value)
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const escaped = str.replace(/"/g, '""')
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return /[",\n\r]/.test(escaped) ? `"${escaped}"` : escaped
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}
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const appendRow = (fields: any[]) => {
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csvContent += `${fields.map(csvEscape).join(',')}\n`
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}
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// 1. 概览数据
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csvContent += '【核心指标概览】\n'
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csvContent += '指标,数值\n'
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csvContent += `总任务数,${overview.value.totalDemands}\n`
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csvContent += `待处理,${overview.value.pendingDemands}\n`
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csvContent += `进行中,${inProgressCount.value}\n`
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csvContent += `已完成,${overview.value.completedDemands}\n`
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csvContent += `完成率,${completionRate.value}%\n`
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csvContent += `准时率,${onTimeRate.value}%\n`
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appendRow(['指标', '数值'])
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appendRow(['总任务数', overview.value.totalDemands])
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appendRow(['待处理', overview.value.pendingDemands])
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appendRow(['进行中', inProgressCount.value])
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appendRow(['已完成', overview.value.completedDemands])
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appendRow(['完成率', `${completionRate.value}%`])
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appendRow(['准时率', `${onTimeRate.value}%`])
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csvContent += '\n'
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// 2. 用户需求统计
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if (statistics.userStats && statistics.userStats.length > 0) {
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csvContent += '【用户需求统计】\n'
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csvContent += '排名,用户名,部门,发起数,完成数,总积分,完成率\n'
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appendRow(['排名', '用户名', '部门', '发起数', '完成数', '总积分', '完成率'])
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statistics.userStats.forEach((user: any, index: number) => {
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const rate = user.totalDemands > 0 ? ((user.completedDemands / user.totalDemands) * 100).toFixed(1) : '0.0'
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csvContent += `${index + 1},${user.userName || '-'},${user.deptName || '-'},${user.totalDemands},${user.completedDemands},${formatScore(user.totalScore)},${rate}%\n`
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appendRow([
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index + 1,
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user.realName || user.userName || '-',
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user.deptName || '-',
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user.totalDemands,
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user.completedDemands,
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formatScore(user.totalScore),
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`${rate}%`
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])
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})
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csvContent += '\n'
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}
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@ -1787,10 +1810,16 @@ const exportData = () => {
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// 3. 部门需求统计
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if (statistics.deptStats && statistics.deptStats.length > 0) {
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csvContent += '【部门需求统计】\n'
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csvContent += '排名,部门名称,发起数,完成数,完成率\n'
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appendRow(['排名', '部门名称', '发起数', '完成数', '完成率'])
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statistics.deptStats.forEach((dept: any, index: number) => {
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const rate = dept.totalDemands > 0 ? ((dept.completedDemands / dept.totalDemands) * 100).toFixed(1) : '0.0'
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csvContent += `${index + 1},${dept.deptName || '-'},${dept.totalDemands},${dept.completedDemands},${rate}%\n`
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appendRow([
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index + 1,
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dept.deptName || '-',
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dept.totalDemands,
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dept.completedDemands,
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`${rate}%`
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])
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})
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csvContent += '\n'
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}
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@ -1798,28 +1827,234 @@ const exportData = () => {
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// 4. 设计师绩效
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if (designerPerformance.designerStats && designerPerformance.designerStats.length > 0) {
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csvContent += '【设计师绩效】\n'
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csvContent += '排名,设计师,部门,接单量,完成量,获得积分,扣分,净积分,目标积分,目标完成率,准时率,评分\n'
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appendRow(['排名', '设计师', '部门', '接单量', '完成量', '获得积分', '扣分', '净积分', '目标积分', '目标完成率', '准时率', '评分'])
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designerPerformance.designerStats.forEach((designer: any, index: number) => {
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csvContent += `${index + 1},${designer.realName || '-'},${designer.deptName || '-'},${designer.receivedCount || 0},${designer.completedCount || 0},${formatScore(designer.totalScore)},${formatScore(designer.deductionScore)},${formatScore(designer.netScore)},${designer.targetScore ? formatScore(designer.targetScore) : '-'},${designer.targetScore > 0 ? (designer.targetCompletionRate || 0) + '%' : '-'},${designer.onTimeRate || 0}%,${designer.avgRating?.toFixed(1) || '-'}\n`
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appendRow([
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index + 1,
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designer.realName || '-',
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designer.deptName || '-',
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designer.receivedCount || 0,
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designer.completedCount || 0,
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formatScore(designer.totalScore),
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formatScore(designer.deductionScore),
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formatScore(designer.netScore),
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designer.targetScore ? formatScore(designer.targetScore) : '-',
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designer.targetScore > 0 ? `${designer.targetCompletionRate || 0}%` : '-',
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`${designer.onTimeRate || 0}%`,
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designer.avgRating?.toFixed(1) || '-'
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])
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})
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csvContent += '\n'
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}
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// 5. 流程效率指标
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csvContent += '【流程效率指标】\n'
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csvContent += '指标,本周,上周,本月,目标\n'
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appendRow(['指标', '本周', '上周', '本月', '目标'])
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efficiencyTableData.value.forEach((row: any) => {
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csvContent += `${row.metric},${row.week},${row.lastWeek},${row.month},${row.target}\n`
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appendRow([row.metric, row.week, row.lastWeek, row.month, row.target])
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})
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csvContent += '\n'
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// 6. 预警任务
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if (warningTasks.value && warningTasks.value.length > 0) {
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csvContent += '【预警任务】\n'
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csvContent += '级别,任务名称,处理人,预警原因\n'
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appendRow(['级别', '任务名称', '处理人', '预警原因'])
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warningTasks.value.forEach((task: any) => {
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const level = task.warningLevel === 'urgent' ? '紧急' : task.warningLevel === 'warning' ? '警告' : '正常'
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csvContent += `${level},${task.taskTitle || '-'},${task.receiverName || '-'},${task.warningReason || '-'}\n`
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appendRow([level, task.taskTitle || '-', task.receiverName || '-', task.warningReason || '-'])
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})
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csvContent += '\n'
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}
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// 7. 多维度分析
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if (dimensionData.categoryAnalysis?.length) {
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csvContent += '【类目分析】\n'
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appendRow(['类目名称', '任务数', '总数量', '已完成', '进行中', '完成率', '总积分'])
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dimensionData.categoryAnalysis.forEach((item: any) => {
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appendRow([
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item.categoryName || '-',
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item.totalTasks || 0,
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item.totalQuantity || 0,
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item.completedTasks || 0,
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item.inProgressTasks || 0,
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`${formatScore(item.completionRate)}%`,
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formatScore(item.totalScore)
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])
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})
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csvContent += '\n'
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}
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if (dimensionData.brandAnalysis?.length) {
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csvContent += '【品牌分析】\n'
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appendRow(['品牌名称', '任务数', '总数量', '已完成', '进行中', '完成率', '总积分'])
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dimensionData.brandAnalysis.forEach((item: any) => {
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appendRow([
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item.brandName || '-',
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item.totalTasks || 0,
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item.totalQuantity || 0,
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item.completedTasks || 0,
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item.inProgressTasks || 0,
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`${formatScore(item.completionRate)}%`,
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formatScore(item.totalScore)
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])
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})
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csvContent += '\n'
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}
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if (dimensionData.receivingDeptAnalysis?.length) {
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csvContent += '【接单部门分析】\n'
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appendRow(['部门名称', '部门人数', '任务数', '人均任务', '总数量', '已完成', '进行中', '完成率', '总积分', '平均耗时'])
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dimensionData.receivingDeptAnalysis.forEach((item: any) => {
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appendRow([
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item.deptName || '-',
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item.memberCount || 0,
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item.totalTasks || 0,
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formatScore(item.avgTasksPerMember),
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item.totalQuantity || 0,
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item.completedTasks || 0,
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item.inProgressTasks || 0,
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`${formatScore(item.completionRate)}%`,
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formatScore(item.totalScore),
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item.avgCompletionHours ? `${formatScore(item.avgCompletionHours)}h` : '-'
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])
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})
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csvContent += '\n'
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}
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if (dimensionData.demandDeptAnalysis?.length) {
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csvContent += '【需求部门分析】\n'
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appendRow(['部门名称', '部门人数', '任务数', '人均任务', '总数量', '已完成', '待处理', '完成率', '总积分'])
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dimensionData.demandDeptAnalysis.forEach((item: any) => {
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appendRow([
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item.deptName || '-',
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item.memberCount || 0,
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item.totalTasks || 0,
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formatScore(item.avgTasksPerMember),
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item.totalQuantity || 0,
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item.completedTasks || 0,
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item.pendingTasks || 0,
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`${formatScore(item.completionRate)}%`,
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formatScore(item.totalScore)
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])
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})
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csvContent += '\n'
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}
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if (dimensionData.platformAnalysis?.length) {
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csvContent += '【平台分析】\n'
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appendRow(['平台名称', '任务数', '总数量', '已完成', '进行中', '完成率', '总积分'])
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dimensionData.platformAnalysis.forEach((item: any) => {
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appendRow([
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item.platformName || '-',
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item.totalTasks || 0,
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item.totalQuantity || 0,
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item.completedTasks || 0,
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item.inProgressTasks || 0,
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`${formatScore(item.completionRate)}%`,
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formatScore(item.totalScore)
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])
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})
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csvContent += '\n'
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}
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const exportTaskTypeAnalysis = (title: string, data: any[]) => {
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if (!data?.length) return
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csvContent += `【${title}】\n`
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appendRow(['父级分类', '类型名称', '任务数', '总数量', '已完成', '进行中', '待接单', '完成率', '准时率', '总积分', '平均积分', '单价分值', '预估工时', '平均完成时长'])
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data.forEach((item: any) => {
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appendRow([
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item.parentName || '-',
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item.typeName || '-',
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item.totalTasks || 0,
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item.totalQuantity || 0,
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item.completedTasks || 0,
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item.inProgressTasks || 0,
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item.pendingTasks || 0,
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`${formatScore(item.completionRate)}%`,
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`${formatScore(item.onTimeRate)}%`,
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formatScore(item.totalScore),
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formatScore(item.avgScore),
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formatScore(item.unitScore),
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item.estimatedHours ? `${formatScore(item.estimatedHours)}h` : '-',
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item.avgCompletionHours ? `${formatScore(item.avgCompletionHours)}h` : '-'
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])
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})
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csvContent += '\n'
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}
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exportTaskTypeAnalysis('任务类型分析（一级分类）', dimensionData.taskTypeAnalysis || [])
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exportTaskTypeAnalysis('任务类型分析（二级分类）', (dimensionData.taskTypeLevel2Analysis || []).map((item: any) => ({ ...item, parentName: item.parentName || '-' })))
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exportTaskTypeAnalysis('任务类型分析（三级分类）', (dimensionData.taskTypeLevel3Analysis || []).map((item: any) => ({ ...item, parentName: item.parentName || '-' })))
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// 8. 一级需求部门统计
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if (primaryDeptStats) {
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csvContent += '【一级需求部门统计】\n'
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appendRow(['指标', '数值'])
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appendRow(['发起任务数', primaryDeptStats.totalTasks || 0])
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appendRow(['审核通过', primaryDeptStats.approvedTasks || 0])
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appendRow(['审核驳回', primaryDeptStats.rejectedTasks || 0])
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appendRow(['消耗积分', formatScore(primaryDeptStats.consumedScore)])
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appendRow(['待处理', primaryDeptStats.pendingTasks || 0])
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appendRow(['进行中', primaryDeptStats.inProgressTasks || 0])
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appendRow(['已完成', primaryDeptStats.completedTasks || 0])
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csvContent += '\n'
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}
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if (primaryDeptRanking.value?.length) {
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csvContent += '【一级需求部门排名】\n'
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appendRow(['排名', '部门名称', '一级部门', '二级部门', '发起任务数', '审核通过率', '消耗积分', '平均响应时间', '已完成', '进行中'])
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primaryDeptRanking.value.forEach((item: any, index: number) => {
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appendRow([
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item.rank || index + 1,
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item.deptName || '-',
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item.firstLevelDeptName || '-',
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item.secondLevelDeptName || '-',
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item.taskCount || 0,
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`${formatScore(item.approvalRate)}%`,
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formatScore(item.consumedScore),
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item.avgResponseHours ? `${formatScore(item.avgResponseHours)}h` : '-',
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item.completedCount || 0,
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item.inProgressCount || 0
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])
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})
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csvContent += '\n'
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}
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if (brandDistribution.value?.length) {
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csvContent += '【品牌任务分布（一级需求）】\n'
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appendRow(['品牌名称', '任务数', '占比', '负责部门', '消耗积分', '已完成'])
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brandDistribution.value.forEach((item: any) => {
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appendRow([
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item.brandName || '-',
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item.taskCount || 0,
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`${formatScore(item.percentage)}%`,
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item.responsibleDeptName || '-',
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formatScore(item.consumedScore),
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item.completedCount || 0
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])
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})
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csvContent += '\n'
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}
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if (primaryDeptUserRanking.value?.length) {
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csvContent += '【一级需求部门用户排名】\n'
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appendRow(['排名', '用户姓名', '部门名称', '一级部门', '二级部门', '发起任务数', '审核通过数', '审核驳回数', '审核通过率', '消耗积分', '已完成', '进行中', '待审核'])
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primaryDeptUserRanking.value.forEach((item: any, index: number) => {
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appendRow([
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item.rank || index + 1,
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item.userName || '-',
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item.deptName || '-',
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item.firstLevelDeptName || '-',
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item.secondLevelDeptName || '-',
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item.taskCount || 0,
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item.approvedCount || 0,
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item.rejectedCount || 0,
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`${formatScore(item.approvalRate)}%`,
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formatScore(item.consumedScore),
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item.completedCount || 0,
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item.inProgressCount || 0,
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item.pendingCount || 0
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])
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})
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csvContent += '\n'
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}
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