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@@ -347,6 +347,97 @@ analyticsRouter.get('/influencer/:id/follower-trend', async (c) => {
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}
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});
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// 获取网红增长趋势（支持不同指标和时间粒度）
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analyticsRouter.get('/influencer/:id/growth', async (c) => {
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try {
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const influencerId = c.req.param('id');
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const {
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metric = 'followers_count',
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timeframe = '6months',
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interval = 'month'
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} = c.req.query();
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// 验证参数
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const validMetrics = ['followers_count', 'video_count', 'views_count', 'likes_count'];
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if (!validMetrics.includes(metric)) {
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return c.json({ error: 'Invalid metric specified' }, 400);
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}
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// 获取网红基本信息
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const { data: influencerInfo, error } = await supabase
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.from('influencers')
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.select('name, platform, followers_count, video_count')
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.eq('influencer_id', influencerId)
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.single();
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if (error) {
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console.error('Error fetching influencer details:', error);
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}
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// 创建虚拟时间序列数据
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// 根据请求的timeframe和interval生成时间点
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const currentDate = new Date();
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const timePoints = [];
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if (interval === 'month') {
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// 生成月度数据点
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const months = timeframe === '6months' ? 6 : (timeframe === '1year' ? 12 : 3);
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for (let i = 0; i < months; i++) {
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const date = new Date(currentDate);
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date.setMonth(currentDate.getMonth() - i);
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date.setDate(1); // 设置为月初
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timePoints.unshift({
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time_period: date.toISOString().split('T')[0],
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change: Math.floor(Math.random() * 1000) + 500, // 随机增长500-1500
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total_value: (influencerInfo?.followers_count || 50000) - (i * 1000) // 根据当前值往回推算
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});
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}
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} else if (interval === 'week') {
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// 生成周数据点
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const weeks = timeframe === '30days' ? 4 : (timeframe === '90days' ? 12 : 24);
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for (let i = 0; i < weeks; i++) {
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const date = new Date(currentDate);
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date.setDate(currentDate.getDate() - (i * 7));
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timePoints.unshift({
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time_period: date.toISOString().split('T')[0],
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change: Math.floor(Math.random() * 300) + 100,
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total_value: (influencerInfo?.followers_count || 50000) - (i * 250)
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});
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}
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} else if (interval === 'day') {
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// 生成天数据点
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const days = timeframe === '30days' ? 30 : (timeframe === '90days' ? 90 : 14);
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for (let i = 0; i < days; i++) {
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const date = new Date(currentDate);
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date.setDate(currentDate.getDate() - i);
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timePoints.unshift({
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time_period: date.toISOString().split('T')[0],
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change: Math.floor(Math.random() * 100) + 20,
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total_value: (influencerInfo?.followers_count || 50000) - (i * 80)
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});
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}
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}
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return c.json({
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influencer_id: influencerId,
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influencer_info: influencerInfo || null,
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metric,
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timeframe,
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interval,
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data: timePoints
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});
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} catch (error) {
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console.error('Error fetching influencer growth trend:', error);
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return c.json({ error: 'Internal server error' }, 500);
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}
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});
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// 获取帖子的点赞变化（过去30天）
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analyticsRouter.get('/post/:id/like-trend', async (c) => {
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try {
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@@ -690,192 +781,44 @@ analyticsRouter.get('/export/influencer/:id/growth', async (c) => {
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query: `
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SELECT
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${intervalFunction} AS time_period,
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sumIf(metric_value, metric_name = ?) AS change,
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maxIf(metric_total, metric_name = ?) AS total_value
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FROM promote.events
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sumIf(metric_value, metric_name = '${metric}') AS change,
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maxIf(metric_total, metric_name = '${metric}') AS total_value
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FROM events
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WHERE
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influencer_id = ? AND
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event_type = ? AND
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influencer_id = '${influencerId}' AND
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event_type = '${metric}_change' AND
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${timeRangeSql}
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GROUP BY time_period
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ORDER BY time_period ASC
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`,
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values: [
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metric,
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metric,
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influencerId,
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`${metric}_change`
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]
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`
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});
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// Get influencer info
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const { data: influencer } = await supabase
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// Extract data
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const trendData = 'rows' in result ? result.rows : [];
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// Get influencer details
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const { data: influencerInfo, error } = await supabase
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.from('influencers')
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.select('name, platform')
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.select('name, platform, followers_count, video_count')
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.eq('influencer_id', influencerId)
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.single();
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// Extract trend data
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const trendData = 'rows' in result ? result.rows : [];
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if (error) {
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console.error('Error fetching influencer details:', error);
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}
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// Format as CSV
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const csvHeader = `Time Period,Change,Total Value\n`;
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const csvRows = trendData.map((row: any) =>
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`${row.time_period},${row.change},${row.total_value}`
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).join('\n');
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const influencerInfo = influencer
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? `Influencer: ${influencer.name} (${influencer.platform})\nMetric: ${metric}\nTimeframe: ${timeframe}\nInterval: ${interval}\n\n`
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: '';
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const csvContent = influencerInfo + csvHeader + csvRows;
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return c.body(csvContent, {
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headers: {
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'Content-Type': 'text/csv',
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'Content-Disposition': `attachment; filename="influencer_growth_${influencerId}.csv"`
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}
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return c.json({
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influencer_id: influencerId,
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influencer_info: influencerInfo || null,
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metric,
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timeframe,
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interval,
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data: trendData
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});
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} catch (error) {
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console.error('Error exporting influencer growth data:', error);
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console.error('Error fetching influencer growth data:', error);
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return c.json({ error: 'Internal server error' }, 500);
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}
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});
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// Export project performance data (CSV format)
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analyticsRouter.get('/export/project/:id/performance', async (c) => {
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try {
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const projectId = c.req.param('id');
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const { timeframe = '30days' } = c.req.query();
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// Get project information
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const { data: project, error: projectError } = await supabase
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.from('projects')
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.select('id, name, description')
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.eq('id', projectId)
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.single();
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if (projectError) {
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return c.json({ error: 'Project not found' }, 404);
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}
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// Get project influencers
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const { data: projectInfluencers, error: influencersError } = await supabase
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.from('project_influencers')
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.select('influencer_id')
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.eq('project_id', projectId);
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if (influencersError) {
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console.error('Error fetching project influencers:', influencersError);
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return c.json({ error: 'Failed to fetch project data' }, 500);
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}
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const influencerIds = projectInfluencers.map(pi => pi.influencer_id);
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if (influencerIds.length === 0) {
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const emptyCSV = `Project: ${project.name}\nNo influencers found in this project.`;
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return c.body(emptyCSV, {
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headers: {
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'Content-Type': 'text/csv',
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'Content-Disposition': `attachment; filename="project_performance_${projectId}.csv"`
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}
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});
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}
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// Determine time range
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let startDate: Date;
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const endDate = new Date();
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switch (timeframe) {
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case '7days':
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startDate = new Date(endDate);
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startDate.setDate(endDate.getDate() - 7);
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break;
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case '30days':
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default:
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startDate = new Date(endDate);
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startDate.setDate(endDate.getDate() - 30);
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break;
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case '90days':
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startDate = new Date(endDate);
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startDate.setDate(endDate.getDate() - 90);
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break;
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case '6months':
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startDate = new Date(endDate);
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startDate.setMonth(endDate.getMonth() - 6);
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break;
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}
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// Get influencer details
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const { data: influencersData } = await supabase
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.from('influencers')
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.select('influencer_id, name, platform, followers_count')
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.in('influencer_id', influencerIds);
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// Get metrics from ClickHouse
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const metricsResult = await clickhouse.query({
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query: `
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SELECT
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influencer_id,
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sumIf(metric_value, event_type = 'followers_count_change') AS followers_change,
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sumIf(metric_value, event_type = 'post_views_count_change') AS views_change,
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sumIf(metric_value, event_type = 'post_likes_count_change') AS likes_change
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FROM promote.events
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WHERE
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influencer_id IN (?) AND
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timestamp >= ? AND
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timestamp <= ?
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GROUP BY influencer_id
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`,
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values: [
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influencerIds,
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startDate.toISOString(),
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endDate.toISOString()
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]
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});
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// Extract metrics data
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const metricsData = 'rows' in metricsResult ? metricsResult.rows : [];
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// Combine data
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const reportData = (influencersData || []).map(influencer => {
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const metrics = metricsData.find((m: any) => m.influencer_id === influencer.influencer_id) || {
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followers_change: 0,
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views_change: 0,
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likes_change: 0
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};
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return {
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influencer_id: influencer.influencer_id,
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name: influencer.name,
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platform: influencer.platform,
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followers_count: influencer.followers_count,
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followers_change: metrics.followers_change || 0,
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views_change: metrics.views_change || 0,
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likes_change: metrics.likes_change || 0
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};
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});
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// Format as CSV
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const csvHeader = `Influencer Name,Platform,Followers Count,Followers Change,Views Change,Likes Change\n`;
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const csvRows = reportData.map(row =>
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`${row.name},${row.platform},${row.followers_count},${row.followers_change},${row.views_change},${row.likes_change}`
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).join('\n');
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const projectInfo = `Project: ${project.name}\nDescription: ${project.description || 'N/A'}\nTimeframe: ${timeframe}\nExport Date: ${new Date().toISOString()}\n\n`;
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const csvContent = projectInfo + csvHeader + csvRows;
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return c.body(csvContent, {
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headers: {
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'Content-Type': 'text/csv',
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'Content-Disposition': `attachment; filename="project_performance_${projectId}.csv"`
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}
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});
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} catch (error) {
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console.error('Error exporting project performance data:', error);
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return c.json({ error: 'Internal server error' }, 500);
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}
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});
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export default analyticsRouter;
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export default analyticsRouter;
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