71 lines
2.5 KiB
TypeScript
71 lines
2.5 KiB
TypeScript
import { createError, defineEventHandler, getQuery } from 'h3'
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import { db } from '~/drizzle/db'
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import { songs, users } from '~/drizzle/schema'
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import { and, count, eq, gte, sql } from 'drizzle-orm'
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export default defineEventHandler(async (event) => {
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// 检查认证和权限
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const user = event.context.user
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if (!user || !['SONG_ADMIN', 'ADMIN', 'SUPER_ADMIN'].includes(user.role)) {
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throw createError({
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statusCode: 403,
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message: '需要管理员权限'
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})
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}
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const query = getQuery(event)
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const semester = query.semester as string
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try {
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const songWhereCondition = semester && semester !== 'all' ? eq(songs.semester, semester) : undefined
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// 获取用户参与度数据
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// 1. 获取总用户数
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const totalUsersResult = await db.select({ count: count() }).from(users)
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const totalUsers = Number(totalUsersResult[0]?.count || 0)
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// 2. 获取有请求歌曲的用户数
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const activeUsersResult = await db
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.select({ count: sql<number>`COUNT(DISTINCT ${songs.requesterId})` })
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.from(songs)
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.where(songWhereCondition)
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const activeUsers = Number(activeUsersResult[0]?.count || 0)
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// 3. 获取用户请求歌曲的平均数量
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const totalSongRequestsResult = await db
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.select({ count: count() })
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.from(songs)
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.where(songWhereCondition)
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const totalSongRequests = Number(totalSongRequestsResult[0]?.count || 0)
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const averageSongsPerUser = totalUsers > 0 ? totalSongRequests / totalUsers : 0
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// 4. 获取最近活跃用户
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const oneWeekAgo = new Date()
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oneWeekAgo.setDate(oneWeekAgo.getDate() - 7)
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const recentWhereCondition = songWhereCondition
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? and(songWhereCondition, gte(songs.createdAt, oneWeekAgo))
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: gte(songs.createdAt, oneWeekAgo)
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const recentActiveUsersResult = await db
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.select({ count: sql<number>`COUNT(DISTINCT ${songs.requesterId})` })
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.from(songs)
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.where(recentWhereCondition)
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const recentActiveUsers = Number(recentActiveUsersResult[0]?.count || 0)
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return {
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totalUsers,
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activeUsers,
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activeUserPercentage: totalUsers > 0 ? (activeUsers / totalUsers) * 100 : 0,
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averageSongsPerUser: parseFloat(averageSongsPerUser.toFixed(2)),
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recentActiveUsers,
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recentActiveUserPercentage: totalUsers > 0 ? (recentActiveUsers / totalUsers) * 100 : 0
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}
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} catch (error) {
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console.error('获取用户参与度数据失败:', error)
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throw createError({
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statusCode: 500,
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message: '获取用户参与度数据失败'
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})
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}
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})
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