routes/admin.js

@@ -12,6 +12,39 @@ const { logActivity, ACTIVITY_COLLECTION } = require('../services/activityLogger
 
 const router = express.Router({ strict: true });
 
+// Statistics cache (5-minute TTL)
+const statsCache = new Map();
+const CACHE_TTL = 5 * 60 * 1000; // 5 minutes
+
+/**
+ * Get cached value if still valid
+ * @param {string} key - Cache key
+ * @returns {*} Cached data or null
+ */
+function getCached(key) {
+  const cached = statsCache.get(key);
+  if (cached && Date.now() - cached.timestamp < CACHE_TTL) {
+    return cached.data;
+  }
+  return null;
+}
+
+/**
+ * Set cache value
+ * @param {string} key - Cache key
+ * @param {*} data - Data to cache
+ */
+function setCache(key, data) {
+  statsCache.set(key, { data, timestamp: Date.now() });
+}
+
+/**
+ * Clear all cached statistics (for testing)
+ */
+function clearStatsCache() {
+  statsCache.clear();
+}
+
 // All admin routes require authentication and admin role
 router.use(requireAuth, requireAdmin);
 
@@ -522,4 +555,393 @@ router.get('/activity/export', async (req, res) => {
   }
 });
 
+// ============================================================
+// Statistics Endpoints (Phase 3)
+// ============================================================
+
+/**
+ * GET /api/admin/stats/overview
+ * Returns summary metrics for the admin dashboard
+ * Cached for 5 minutes
+ */
+router.get('/stats/overview', async (req, res) => {
+  try {
+    const cacheKey = 'stats:overview';
+    const cached = getCached(cacheKey);
+    if (cached) {
+      return res.json(cached);
+    }
+
+    const db = req.app.locals.db;
+    const usersCollection = db.collection('users');
+
+    // Calculate date boundaries
+    const now = new Date();
+    const todayStart = new Date(now.getFullYear(), now.getMonth(), now.getDate());
+    const weekStart = new Date(todayStart);
+    weekStart.setDate(weekStart.getDate() - 7);
+    const monthStart = new Date(todayStart);
+    monthStart.setDate(monthStart.getDate() - 30);
+
+    // Execute all queries in parallel
+    const [
+      totalUsers,
+      activeUsers,
+      disabledUsers,
+      newUsersToday,
+      newUsersThisWeek,
+      newUsersThisMonth,
+      loginStats
+    ] = await Promise.all([
+      usersCollection.countDocuments({}),
+      usersCollection.countDocuments({ isActive: true }),
+      usersCollection.countDocuments({ isActive: false }),
+      usersCollection.countDocuments({ createdAt: { $gte: todayStart } }),
+      usersCollection.countDocuments({ createdAt: { $gte: weekStart } }),
+      usersCollection.countDocuments({ createdAt: { $gte: monthStart } }),
+      usersCollection.aggregate([
+        { $group: { _id: null, totalLogins: { $sum: '$loginCount' } } }
+      ]).toArray()
+    ]);
+
+    const totalLogins = loginStats.length > 0 ? loginStats[0].totalLogins : 0;
+    const avgLoginsPerUser = totalUsers > 0
+      ? Math.round((totalLogins / totalUsers) * 10) / 10
+      : 0;
+
+    const result = {
+      totalUsers,
+      activeUsers,
+      disabledUsers,
+      newUsersToday,
+      newUsersThisWeek,
+      newUsersThisMonth,
+      totalLogins,
+      avgLoginsPerUser
+    };
+
+    setCache(cacheKey, result);
+    res.json(result);
+  } catch (error) {
+    console.error('Error fetching stats overview:', error);
+    res.status(500).json({ error: 'Failed to fetch statistics overview' });
+  }
+});
+
+/**
+ * GET /api/admin/stats/active-users
+ * Returns time series data for active users
+ * Query params: period ('daily' | 'weekly' | 'monthly'), days (default: 30)
+ * Cached for 5 minutes (different cache key per query params)
+ */
+router.get('/stats/active-users', async (req, res) => {
+  try {
+    let { period, days } = req.query;
+
+    // Validate and default period
+    const validPeriods = ['daily', 'weekly', 'monthly'];
+    if (!period || !validPeriods.includes(period)) {
+      period = 'daily';
+    }
+
+    // Validate and default days
+    days = parseInt(days) || 30;
+    days = Math.max(1, Math.min(365, days));
+
+    const cacheKey = `stats:active-users:${period}:${days}`;
+    const cached = getCached(cacheKey);
+    if (cached) {
+      return res.json(cached);
+    }
+
+    const db = req.app.locals.db;
+    const activityCollection = db.collection(ACTIVITY_COLLECTION);
+
+    // Calculate the start date based on period and days
+    const now = new Date();
+    const startDate = new Date(now);
+
+    // Determine date grouping based on period
+    let dateFormat;
+    let dataPoints;
+
+    switch (period) {
+      case 'weekly':
+        // Each data point represents a week
+        startDate.setDate(startDate.getDate() - (days * 7));
+        dataPoints = days;
+        dateFormat = {
+          year: { $year: '$timestamp' },
+          week: { $isoWeek: '$timestamp' }
+        };
+        break;
+      case 'monthly':
+        // Each data point represents a month
+        startDate.setMonth(startDate.getMonth() - days);
+        dataPoints = days;
+        dateFormat = {
+          year: { $year: '$timestamp' },
+          month: { $month: '$timestamp' }
+        };
+        break;
+      case 'daily':
+      default:
+        // Each data point represents a day
+        startDate.setDate(startDate.getDate() - days);
+        dataPoints = days;
+        dateFormat = {
+          year: { $year: '$timestamp' },
+          month: { $month: '$timestamp' },
+          day: { $dayOfMonth: '$timestamp' }
+        };
+        break;
+    }
+
+    // Aggregate unique users per period
+    const pipeline = [
+      {
+        $match: {
+          timestamp: { $gte: startDate }
+        }
+      },
+      {
+        $group: {
+          _id: dateFormat,
+          users: { $addToSet: '$userId' }
+        }
+      },
+      {
+        $project: {
+          _id: 1,
+          count: { $size: '$users' }
+        }
+      },
+      {
+        $sort: { '_id.year': -1, '_id.month': -1, '_id.day': -1, '_id.week': -1 }
+      },
+      {
+        $limit: dataPoints
+      }
+    ];
+
+    const rawData = await activityCollection.aggregate(pipeline).toArray();
+
+    // Format the data into consistent date strings
+    const data = rawData.map(item => {
+      let date;
+      if (period === 'daily') {
+        date = `${item._id.year}-${String(item._id.month).padStart(2, '0')}-${String(item._id.day).padStart(2, '0')}`;
+      } else if (period === 'weekly') {
+        // Format as year-Wweek
+        date = `${item._id.year}-W${String(item._id.week).padStart(2, '0')}`;
+      } else if (period === 'monthly') {
+        date = `${item._id.year}-${String(item._id.month).padStart(2, '0')}`;
+      }
+      return { date, count: item.count };
+    });
+
+    // Sort by date descending (most recent first)
+    data.sort((a, b) => b.date.localeCompare(a.date));
+
+    const result = { period, data };
+    setCache(cacheKey, result);
+    res.json(result);
+  } catch (error) {
+    console.error('Error fetching active users stats:', error);
+    res.status(500).json({ error: 'Failed to fetch active users statistics' });
+  }
+});
+
+/**
+ * GET /api/admin/stats/actions
+ * Returns action breakdown with counts
+ * Query params: startDate, endDate (optional, ISO date strings)
+ * Results sorted by count descending
+ * Cached for 5 minutes
+ */
+router.get('/stats/actions', async (req, res) => {
+  try {
+    const { startDate, endDate } = req.query;
+
+    // Build cache key including date filters
+    const cacheKey = `stats:actions:${startDate || 'all'}:${endDate || 'all'}`;
+    const cached = getCached(cacheKey);
+    if (cached) {
+      return res.json(cached);
+    }
+
+    const db = req.app.locals.db;
+    const activityCollection = db.collection(ACTIVITY_COLLECTION);
+
+    // Build match filter
+    const matchFilter = {};
+    if (startDate || endDate) {
+      matchFilter.timestamp = {};
+      if (startDate && isValidDateString(startDate)) {
+        matchFilter.timestamp.$gte = new Date(startDate);
+      }
+      if (endDate && isValidDateString(endDate)) {
+        matchFilter.timestamp.$lte = new Date(endDate);
+      }
+      // Remove timestamp filter if it's empty
+      if (Object.keys(matchFilter.timestamp).length === 0) {
+        delete matchFilter.timestamp;
+      }
+    }
+
+    // Aggregate action counts
+    const pipeline = [
+      ...(Object.keys(matchFilter).length > 0 ? [{ $match: matchFilter }] : []),
+      {
+        $group: {
+          _id: '$action',
+          count: { $sum: 1 }
+        }
+      },
+      {
+        $project: {
+          _id: 0,
+          action: '$_id',
+          count: 1
+        }
+      },
+      {
+        $sort: { count: -1 }
+      }
+    ];
+
+    const actions = await activityCollection.aggregate(pipeline).toArray();
+
+    const result = { actions };
+    setCache(cacheKey, result);
+    res.json(result);
+  } catch (error) {
+    console.error('Error fetching action stats:', error);
+    res.status(500).json({ error: 'Failed to fetch action statistics' });
+  }
+});
+
+/**
+ * GET /api/admin/stats/peak-times
+ * Returns hourly (0-23) and daily (Sunday-Saturday) activity averages
+ * Based on last 30 days of data
+ * Cached for 5 minutes
+ */
+router.get('/stats/peak-times', async (req, res) => {
+  try {
+    const cacheKey = 'stats:peak-times';
+    const cached = getCached(cacheKey);
+    if (cached) {
+      return res.json(cached);
+    }
+
+    const db = req.app.locals.db;
+    const activityCollection = db.collection(ACTIVITY_COLLECTION);
+
+    // Calculate 30 days ago
+    const thirtyDaysAgo = new Date();
+    thirtyDaysAgo.setDate(thirtyDaysAgo.getDate() - 30);
+
+    // Aggregate hourly counts
+    const hourlyPipeline = [
+      {
+        $match: {
+          timestamp: { $gte: thirtyDaysAgo }
+        }
+      },
+      {
+        $group: {
+          _id: { $hour: '$timestamp' },
+          totalActivity: { $sum: 1 },
+          uniqueDays: { $addToSet: {
+            $dateToString: { format: '%Y-%m-%d', date: '$timestamp' }
+          }}
+        }
+      },
+      {
+        $project: {
+          hour: '$_id',
+          avgActivity: {
+            $round: [
+              { $divide: ['$totalActivity', { $size: '$uniqueDays' }] },
+              0
+            ]
+          }
+        }
+      },
+      {
+        $sort: { hour: 1 }
+      }
+    ];
+
+    // Aggregate daily counts (by day of week)
+    const dailyPipeline = [
+      {
+        $match: {
+          timestamp: { $gte: thirtyDaysAgo }
+        }
+      },
+      {
+        $group: {
+          _id: { $dayOfWeek: '$timestamp' }, // 1 = Sunday, 7 = Saturday
+          totalActivity: { $sum: 1 },
+          uniqueWeeks: { $addToSet: {
+            $isoWeek: '$timestamp'
+          }}
+        }
+      },
+      {
+        $project: {
+          dayNum: '$_id',
+          avgActivity: {
+            $round: [
+              { $divide: ['$totalActivity', { $max: [{ $size: '$uniqueWeeks' }, 1] }] },
+              0
+            ]
+          }
+        }
+      },
+      {
+        $sort: { dayNum: 1 }
+      }
+    ];
+
+    const [hourlyRaw, dailyRaw] = await Promise.all([
+      activityCollection.aggregate(hourlyPipeline).toArray(),
+      activityCollection.aggregate(dailyPipeline).toArray()
+    ]);
+
+    // Day of week names (MongoDB uses 1=Sunday, 2=Monday, etc.)
+    const dayNames = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'];
+
+    // Build complete hourly array (0-23)
+    const hourlyMap = new Map(hourlyRaw.map(h => [h.hour, h.avgActivity]));
+    const hourly = [];
+    for (let hour = 0; hour < 24; hour++) {
+      hourly.push({
+        hour,
+        avgActivity: hourlyMap.get(hour) || 0
+      });
+    }
+
+    // Build complete daily array (Sunday-Saturday)
+    const dailyMap = new Map(dailyRaw.map(d => [d.dayNum, d.avgActivity]));
+    const daily = [];
+    for (let i = 1; i <= 7; i++) {
+      daily.push({
+        day: dayNames[i - 1],
+        avgActivity: dailyMap.get(i) || 0
+      });
+    }
+
+    const result = { hourly, daily };
+    setCache(cacheKey, result);
+    res.json(result);
+  } catch (error) {
+    console.error('Error fetching peak times stats:', error);
+    res.status(500).json({ error: 'Failed to fetch peak times statistics' });
+  }
+});
+
 module.exports = router;
+module.exports.clearStatsCache = clearStatsCache;