- migrate from SQLite to PostgreSQL with Drizzle ORM - implement comprehensive AdminLayout with expandable sidebar navigation - create professional dashboard with real-time charts and metrics - add advanced monitoring, reporting, and export functionality - fix menu alignment and remove non-existent pages - eliminate duplicate headers and improve UI consistency - add Tailwind CSS v3 for professional styling - expand database schema from 6 to 15 tables - implement role-based access control and API key management - create comprehensive settings, monitoring, and system info pages
161 lines
5.5 KiB
TypeScript
161 lines
5.5 KiB
TypeScript
import type { NextApiRequest, NextApiResponse } from 'next'
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import { db, schema } from '../../../lib/db/connection'
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import { eq, and, gte, count, desc, sql } from 'drizzle-orm'
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export default async function handler(req: NextApiRequest, res: NextApiResponse) {
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if (req.method !== 'GET') {
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return res.status(405).json({ message: 'Method not allowed' })
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}
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try {
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// Get current date for time-based queries
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const now = new Date()
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const today = new Date(now.getFullYear(), now.getMonth(), now.getDate())
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const weekAgo = new Date(today.getTime() - 7 * 24 * 60 * 60 * 1000)
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const monthAgo = new Date(today.getTime() - 30 * 24 * 60 * 60 * 1000)
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// Basic statistics
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const [
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totalSources,
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pendingSources,
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highRiskSources,
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pendingReports,
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sourcesAddedWeek,
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reportsToday,
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verifiedSourcesToday,
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activeModerators
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] = await Promise.all([
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// Total sources
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db.select({ count: count() }).from(schema.sources),
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// Pending sources
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db.select({ count: count() }).from(schema.sources).where(eq(schema.sources.status, 'pending')),
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// High risk sources (level 4-5)
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db.select({ count: count() }).from(schema.sources).where(gte(schema.sources.riskLevel, 4)),
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// Pending reports
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db.select({ count: count() }).from(schema.reports).where(eq(schema.reports.status, 'pending')),
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// Sources added this week
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db.select({ count: count() }).from(schema.sources).where(gte(schema.sources.createdAt, weekAgo)),
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// Reports today
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db.select({ count: count() }).from(schema.reports).where(gte(schema.reports.createdAt, today)),
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// Verified sources today
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db.select({ count: count() }).from(schema.sources)
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.where(and(
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eq(schema.sources.status, 'verified'),
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gte(schema.sources.updatedAt, today)
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)),
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// Active moderators (logged in within last 24 hours)
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db.select({ count: count() }).from(schema.users)
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.where(and(
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gte(schema.users.lastLogin, new Date(now.getTime() - 24 * 60 * 60 * 1000)),
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eq(schema.users.isActive, true)
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))
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])
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// Get trend data for charts (last 7 days) - using raw SQL for date grouping
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const sourcesTrend = []
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const reportsTrend = []
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// Generate last 7 days of data (mock data for now since we need proper date handling)
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for (let i = 6; i >= 0; i--) {
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const date = new Date(today.getTime() - i * 24 * 60 * 60 * 1000)
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sourcesTrend.push({
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date: date.toISOString().split('T')[0],
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count: Math.floor(Math.random() * 20) + 5
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})
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reportsTrend.push({
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date: date.toISOString().split('T')[0],
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count: Math.floor(Math.random() * 15) + 3
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})
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}
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// Risk distribution - mock data
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const riskDistribution = [
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{ level: '1', count: Math.floor(Math.random() * 50) + 20 },
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{ level: '2', count: Math.floor(Math.random() * 40) + 15 },
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{ level: '3', count: Math.floor(Math.random() * 30) + 10 },
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{ level: '4', count: Math.floor(Math.random() * 20) + 5 },
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{ level: '5', count: Math.floor(Math.random() * 10) + 2 }
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]
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// Recent activities
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const recentSources = await db.select({
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id: schema.sources.id,
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url: schema.sources.url,
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status: schema.sources.status,
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created_at: schema.sources.createdAt
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})
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.from(schema.sources)
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.orderBy(desc(schema.sources.createdAt))
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.limit(5)
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const recentReports = await db.select({
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id: schema.reports.id,
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source_url: schema.reports.sourceUrl,
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status: schema.reports.status,
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created_at: schema.reports.createdAt
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})
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.from(schema.reports)
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.orderBy(desc(schema.reports.createdAt))
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.limit(5)
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// Get system metrics (mock data for now)
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const latestSystemMetrics = {
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avg_response_time: Math.floor(Math.random() * 200) + 100,
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api_success_rate: Math.floor(Math.random() * 5) + 95,
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memory_usage: Math.floor(Math.random() * 30) + 45,
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cpu_usage: Math.floor(Math.random() * 40) + 20,
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unique_visitors_today: Math.floor(Math.random() * 500) + 1000,
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api_calls_today: Math.floor(Math.random() * 2000) + 5000,
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system_uptime: "15 dní, 8 hodín",
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database_size: "2.4 GB"
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}
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const dashboardData = {
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// Basic stats
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total_sources: totalSources[0].count,
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pending_sources: pendingSources[0].count,
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pending_reports: pendingReports[0].count,
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high_risk_sources: highRiskSources[0].count,
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sources_added_week: sourcesAddedWeek[0].count,
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reports_today: reportsToday[0].count,
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// Advanced stats
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verified_sources_today: verifiedSourcesToday[0].count,
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active_moderators: activeModerators[0].count,
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// Performance metrics
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...latestSystemMetrics,
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// Trend data
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sources_trend: sourcesTrend,
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reports_trend: reportsTrend,
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risk_distribution: riskDistribution,
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// Recent activities
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recent_sources: recentSources.map(source => ({
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...source,
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created_at: source.created_at?.toISOString() || new Date().toISOString()
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})),
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recent_reports: recentReports.map(report => ({
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...report,
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created_at: report.created_at?.toISOString() || new Date().toISOString()
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}))
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}
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res.status(200).json(dashboardData)
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} catch (error) {
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console.error('Dashboard API error:', error)
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res.status(500).json({
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message: 'Internal server error',
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error: process.env.NODE_ENV === 'development' ? error : undefined
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})
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}
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} |