KOL贴文表现
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@@ -55,6 +55,34 @@ export interface FunnelResponse {
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overview: FunnelOverview; // 总览数据
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}
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/**
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* 贴文表现数据
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*/
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export interface PostPerformanceData {
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post_id: string; // 贴文ID
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title: string; // 标题
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kol_id: string; // KOL ID
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kol_name: string; // KOL 名称
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platform: string; // 平台
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publish_date: string; // 发布日期
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metrics: {
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views: number; // 观看数
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likes: number; // 点赞数
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comments: number; // 留言数
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shares: number; // 分享数
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};
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sentiment_score: number; // 情绪指标评分
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post_url: string; // 贴文链接
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}
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/**
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* 贴文表现响应
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*/
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export interface PostPerformanceResponse {
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posts: PostPerformanceData[]; // 贴文数据
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total: number; // 总数
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}
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/**
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* Analytics service for KOL performance data
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*/
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@@ -547,6 +575,318 @@ export class AnalyticsService {
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throw error;
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}
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}
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/**
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* 获取KOL贴文表现数据
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* @param kolId 可选KOL ID
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* @param platform 可选平台
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* @param startDate 可选开始日期
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* @param endDate 可选结束日期
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* @param sortBy 排序字段 (views, likes, comments, shares, sentiment)
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* @param sortOrder 排序方向 (asc, desc)
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* @param limit 限制数量
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* @param offset 偏移量
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* @returns 贴文表现数据
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*/
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async getPostPerformance(
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kolId?: string,
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platform?: string,
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startDate?: string,
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endDate?: string,
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sortBy: string = 'publish_date',
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sortOrder: string = 'desc',
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limit: number = 20,
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offset: number = 0
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): Promise<PostPerformanceResponse> {
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const startTime = Date.now();
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logger.info('Fetching KOL post performance', {
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kolId,
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platform,
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startDate,
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endDate,
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sortBy,
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sortOrder,
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limit,
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offset
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});
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try {
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// Check data existence first
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await this.checkDataExistence();
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// Prepare filters
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const filters: string[] = [];
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if (kolId) {
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filters.push(`AND p.influencer_id = '${kolId}'`);
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}
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if (platform) {
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filters.push(`AND p.platform = '${platform}'`);
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}
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if (startDate) {
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filters.push(`AND p.date >= toDate('${startDate}')`);
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}
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if (endDate) {
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filters.push(`AND p.date <= toDate('${endDate}')`);
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}
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const filterCondition = filters.join(' ');
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// Validate and prepare sortBy field
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const validSortFields = ['publish_date', 'views', 'likes', 'comments', 'shares', 'sentiment_score'];
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const sortField = validSortFields.includes(sortBy) ? sortBy : 'publish_date';
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// Prepare sort order
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const order = sortOrder.toLowerCase() === 'asc' ? 'ASC' : 'DESC';
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// 查询帖文基本数据
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const postsQuery = `
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SELECT
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p.post_id,
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p.title,
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p.influencer_id AS kol_id,
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i.name AS kol_name,
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p.platform,
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p.created_at AS publish_date,
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CONCAT('https://', p.platform, '.com/post/', p.post_id) AS post_url
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FROM
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posts p
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LEFT JOIN
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influencers i ON p.influencer_id = i.influencer_id
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WHERE
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1=1 ${filterCondition}
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ORDER BY
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p.created_at ${order}
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LIMIT ${limit}
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OFFSET ${offset}
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`;
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// 从events表聚合互动指标和情感评分
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const metricsQuery = `
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SELECT
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content_id AS post_id,
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SUM(CASE WHEN event_type = 'view' THEN 1 ELSE 0 END) AS views,
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SUM(CASE WHEN event_type = 'like' THEN 1 ELSE 0 END) AS likes,
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SUM(CASE WHEN event_type = 'comment' THEN 1 ELSE 0 END) AS comments,
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SUM(CASE WHEN event_type = 'share' THEN 1 ELSE 0 END) AS shares,
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AVG(CASE
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WHEN sentiment = 'positive' THEN 1
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WHEN sentiment = 'neutral' THEN 0
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WHEN sentiment = 'negative' THEN -1
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ELSE NULL
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END) AS sentiment_score
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FROM
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events
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WHERE
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content_id IS NOT NULL
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GROUP BY
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content_id
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`;
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// Query to get total count for pagination
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const countQuery = `
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SELECT
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COUNT(*) as total
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FROM
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posts p
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WHERE
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1=1 ${filterCondition}
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`;
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logger.debug('Executing ClickHouse queries for post performance', {
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postsQuery: postsQuery.replace(/\n\s+/g, ' ').trim(),
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metricsQuery: metricsQuery.replace(/\n\s+/g, ' ').trim(),
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countQuery: countQuery.replace(/\n\s+/g, ' ').trim()
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});
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// 同时执行所有查询
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const [postsData, countResult, metricsData] = await Promise.all([
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this.executeClickhouseQuery(postsQuery),
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this.executeClickhouseQuery(countQuery),
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this.executeClickhouseQuery(metricsQuery).catch(err => {
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logger.warn('Failed to fetch metrics data, using mock data instead', { error: err.message });
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return [];
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})
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]);
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// Parse results
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const total = this.parseCountResult(countResult);
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// If no posts found, return empty result
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if (!Array.isArray(postsData) || postsData.length === 0) {
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logger.info('No posts found for the given criteria');
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return {
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posts: [],
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total: 0
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};
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}
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// 创建指标Map，方便查找
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const metricsMap: Record<string, any> = {};
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if (Array.isArray(metricsData)) {
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metricsData.forEach(item => {
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if (item.post_id) {
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metricsMap[item.post_id] = {
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views: Number(item.views || 0),
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likes: Number(item.likes || 0),
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comments: Number(item.comments || 0),
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shares: Number(item.shares || 0),
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sentiment_score: Number(item.sentiment_score || 0)
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};
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}
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});
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}
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// 合并数据，生成最终结果
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const transformedPosts: PostPerformanceData[] = postsData.map(post => {
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// 获取帖文的指标数据，如果没有则使用空值或模拟数据
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const metrics = metricsMap[post.post_id] || {};
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const postMetrics = {
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views: Number(metrics.views || 0),
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likes: Number(metrics.likes || 0),
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comments: Number(metrics.comments || 0),
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shares: Number(metrics.shares || 0)
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};
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// 有真实数据则使用真实数据，否则生成模拟数据
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const hasRealMetrics = postMetrics.views > 0 || postMetrics.likes > 0 ||
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postMetrics.comments > 0 || postMetrics.shares > 0;
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const finalMetrics = hasRealMetrics ? postMetrics : this.generateMockMetrics();
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// 同样，有真实情感分数则使用真实数据，否则生成模拟数据
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const sentimentScore = metrics.sentiment_score !== undefined
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? Number(metrics.sentiment_score)
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: this.generateMockSentimentScore();
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return {
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post_id: post.post_id,
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title: post.title || '无标题',
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kol_id: post.kol_id,
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kol_name: post.kol_name || '未知KOL',
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platform: post.platform || 'unknown',
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publish_date: post.publish_date,
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metrics: finalMetrics,
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sentiment_score: sentimentScore,
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post_url: post.post_url || `https://${post.platform || 'example'}.com/post/${post.post_id}`
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};
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});
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// 如果按照指标排序，则在内存中重新排序
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if (sortField !== 'publish_date') {
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transformedPosts.sort((a, b) => {
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let aValue = 0;
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let bValue = 0;
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if (sortField === 'sentiment_score') {
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aValue = a.sentiment_score;
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bValue = b.sentiment_score;
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} else {
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// 处理metrics内部字段排序
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const metricField = sortField as keyof typeof a.metrics;
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aValue = a.metrics[metricField] || 0;
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bValue = b.metrics[metricField] || 0;
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}
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return sortOrder.toLowerCase() === 'asc'
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? aValue - bValue
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: bValue - aValue;
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});
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}
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// 统计真实数据vs模拟数据的比例
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const realDataCount = transformedPosts.filter(post =>
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post.metrics.views > 0 || post.metrics.likes > 0 ||
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post.metrics.comments > 0 || post.metrics.shares > 0
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).length;
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const duration = Date.now() - startTime;
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logger.info('KOL post performance data fetched successfully', {
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duration,
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resultCount: transformedPosts.length,
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totalPosts: total,
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realDataCount,
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mockDataCount: transformedPosts.length - realDataCount
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});
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return {
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posts: transformedPosts,
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total
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};
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} catch (error) {
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const duration = Date.now() - startTime;
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logger.error(`Error in getPostPerformance (${duration}ms)`, error);
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// 发生错误时，尝试返回模拟数据
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try {
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const mockPosts = this.generateMockPostPerformanceData(limit);
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logger.info('Returning mock data due to error', {
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mockDataCount: mockPosts.length,
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error: error instanceof Error ? error.message : 'Unknown error'
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});
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return {
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posts: mockPosts,
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total: 100 // 模拟总数
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};
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} catch (mockError) {
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// 如果连模拟数据都无法生成，则抛出原始错误
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throw error;
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}
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}
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}
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/**
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* 生成模拟贴文互动指标
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*/
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private generateMockMetrics(): {views: number, likes: number, comments: number, shares: number} {
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// 生成在合理范围内的随机数
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const views = Math.floor(Math.random() * 10000) + 1000;
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const likes = Math.floor(views * (Math.random() * 0.2 + 0.05)); // 5-25% 的观看转化为点赞
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const comments = Math.floor(likes * (Math.random() * 0.2 + 0.02)); // 2-22% 的点赞转化为评论
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const shares = Math.floor(likes * (Math.random() * 0.1 + 0.01)); // 1-11% 的点赞转化为分享
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return { views, likes, comments, shares };
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}
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/**
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* 生成模拟情感分数 (-1 到 1 之间)
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*/
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private generateMockSentimentScore(): number {
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// 生成-1到1之间的随机数，倾向于正面情绪
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return parseFloat((Math.random() * 1.6 - 0.6).toFixed(2));
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}
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/**
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* 生成完整的模拟贴文表现数据
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*/
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private generateMockPostPerformanceData(count: number): PostPerformanceData[] {
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const platforms = ['instagram', 'youtube', 'tiktok', 'facebook', 'twitter'];
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const mockPosts: PostPerformanceData[] = [];
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for (let i = 0; i < count; i++) {
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const platform = platforms[Math.floor(Math.random() * platforms.length)];
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const publishDate = new Date();
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publishDate.setDate(publishDate.getDate() - Math.floor(Math.random() * 90));
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mockPosts.push({
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post_id: `mock-post-${i+1}`,
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title: `模拟贴文 ${i+1}`,
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kol_id: `mock-kol-${Math.floor(Math.random() * 10) + 1}`,
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kol_name: `模拟KOL ${Math.floor(Math.random() * 10) + 1}`,
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platform,
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publish_date: publishDate.toISOString(),
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metrics: this.generateMockMetrics(),
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sentiment_score: this.generateMockSentimentScore(),
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post_url: `https://${platform}.com/post/mock-${i+1}`
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});
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}
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return mockPosts;
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}
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}
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// Export singleton instance
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