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21 changes: 21 additions & 0 deletions backend/migrations/002_add_analytics_indexes.sql
Original file line number Diff line number Diff line change
@@ -0,0 +1,21 @@
-- UP
-- Indexes backing the real aggregation pipeline added in Issue #26
-- (bucket queries on activity_logs by (type, timestamp), per-user lookups
-- for anonymized stats, and per-course detail queries).
--
-- These keep the large date-range perf budget (<2s) demanded by the issue DoD.

CREATE INDEX IF NOT EXISTS idx_activity_logs_type_timestamp
ON activity_logs (type, timestamp);

CREATE INDEX IF NOT EXISTS idx_activity_logs_source_type
ON activity_logs (source_account, type);

CREATE INDEX IF NOT EXISTS idx_activity_logs_details_type
ON activity_logs (details, type)
WHERE details IS NOT NULL;

-- @undo
DROP INDEX IF EXISTS idx_activity_logs_details_type;
DROP INDEX IF EXISTS idx_activity_logs_source_type;
DROP INDEX IF EXISTS idx_activity_logs_type_timestamp;
207 changes: 177 additions & 30 deletions backend/src/controllers/analyticsController.js
Original file line number Diff line number Diff line change
@@ -1,55 +1,202 @@
/**
* Analytics Controller
*
* Routes analytics requests through the registered `AnalyticsService` so that
* the real aggregation pipeline (Issue #26) is exercised consistently across
* endpoints. Only the legacy `/export` raw-dump endpoint keeps its own pg
* Pool (intentionally separate from the analytics aggregation pool) and that
* pool is now lazily initialized so nothing is allocated at module load.
*/

const { Pool } = require('pg');
const dotenv = require('dotenv');

dotenv.config();
const { AnalyticsService } = require('../services/analyticsService');
const logger = require('../utils/logger');

const pool = new Pool({
connectionString: process.env.DATABASE_URL || 'postgresql://postgres:postgres@localhost:5432/starked',
});
// Lazily initialized: only the legacy `/export` endpoint needs a dedicated
// connection budget separate from the analytics aggregation pool, so we defer
// pool creation until the handler is actually invoked.
let exportPool = null;
function getExportPool() {
if (!exportPool) {
exportPool = new Pool({
connectionString:
process.env.DATABASE_URL ||
'postgresql://postgres:postgres@localhost:5432/starked',
});
}
return exportPool;
}

/**
* GET /api/v1/analytics/overview
* Aggregated platform stats — delegates to AnalyticsService so caching and
* graceful null fallback behavior are consistent with the rest of the analytics
* API.
*/
const getOverviewStats = async (req, res) => {
try {
const totalTransactions = await pool.query('SELECT COUNT(*) FROM activity_logs');
const recentActivity = await pool.query('SELECT * FROM activity_logs ORDER BY timestamp DESC LIMIT 10');
const credentialStats = await pool.query("SELECT COUNT(*) FROM activity_logs WHERE type = 'invoke_host_function'");

const stats = await AnalyticsService.getAdminDashboardStats();
res.json({
totalTransactions: parseInt(totalTransactions.rows[0].count),
credentialIssuances: parseInt(credentialStats.rows[0].count),
recentActivities: recentActivity.rows,
updatedAt: new Date().toISOString()
success: true,
data: stats,
message: 'Platform overview fetched successfully',
});
} catch (error) {
console.error('Error fetching overview stats:', error);
res.status(500).json({ error: 'Failed to fetch analytics data' });
logger.error('Error fetching overview stats:', error);
res.status(500).json({ success: false, message: 'Failed to fetch analytics data' });
}
};

/**
* GET /api/v1/analytics/report
* Paginated, filtered system activity report (delegates to
* AnalyticsService.getSystemLogs).
*/
const getDetailedReport = async (req, res) => {
try {
const { startDate, endDate } = req.query;
const query = 'SELECT * FROM activity_logs WHERE timestamp >= $1 AND timestamp <= $2';
const values = [startDate, endDate];
const data = await pool.query(query, values);

res.json(data.rows);
const { startDate, endDate, page = 1, limit = 50, level = 'all' } = req.query;
const data = await AnalyticsService.getSystemLogs({
level,
page: parseInt(page, 10) || 1,
limit: Math.min(parseInt(limit, 10) || 50, 200),
startDate,
endDate,
});
res.json({
success: true,
data: stripPII(data),
message: 'Report fetched successfully',
});
} catch (error) {
console.error('Error fetching report:', error);
res.status(500).json({ error: 'Failed to generate report' });
logger.error('Error fetching report:', error);
res.status(500).json({ success: false, message: 'Failed to generate report' });
}
};

/**
* Recursively redact PII fields from a response payload. Issue #26 DoD forbids
* exposing user identifiers (userId, source_account, source, ip) inside any
* analytics response — including legacy endpoints we did not change.
*/
const stripPII = (value) => {
const blockedKeys = new Set(['userId', 'source_account', 'source', 'ip', 'owner']);
if (Array.isArray(value)) {
return value.map(stripPII);
}
if (value && typeof value === 'object') {
const out = {};
for (const [k, v] of Object.entries(value)) {
if (blockedKeys.has(k)) {
out[k] = null;
} else {
out[k] = stripPII(v);
}
}
return out;
}
return value;
};

/**
* GET /api/v1/analytics/enrollment-trends
* Issue #26 — real aggregation pipeline. Returns bucketed enrollment counts
* (day/week/month) within an optional date window and optional course filter.
* PII-safe: only counts and bucketed dates are returned.
*
* Query params:
* startDate? ISO date (defaults to 30 days before endDate)
* endDate? ISO date (defaults to now)
* granularity? 'day' | 'week' | 'month' (defaults to 'day')
* courseId? string (optional)
*/
const getEnrollmentTrends = async (req, res) => {
try {
const { startDate, endDate, granularity = 'day', courseId } = req.query;
const validGranularities = ['day', 'week', 'month'];
const safeGranularity = validGranularities.includes(granularity)
? granularity
: 'day';

const data = await AnalyticsService.getEnrollmentTrends({
startDate: startDate ? new Date(startDate) : undefined,
endDate: endDate ? new Date(endDate) : undefined,
granularity: safeGranularity,
courseId: typeof courseId === 'string' && courseId.length > 0 ? courseId : undefined,
});

res.json({
success: true,
data: stripPII(data),
message: 'Enrollment trends fetched successfully',
});
} catch (error) {
logger.error('Error fetching enrollment trends:', error);
res
.status(500)
.json({ success: false, message: 'Failed to fetch enrollment trends' });
}
};

/**
* GET /api/v1/analytics/completion-rates
* Issue #26 — completion-rate aggregates from real course_enrollment +
* course_completion events. PII-safe.
*
* Query params:
* startDate? ISO date (defaults to 30 days before endDate)
* endDate? ISO date (defaults to now)
* courseId? string (optional — when present, only the overall rate is
* returned; when absent, a per-course breakdown is included).
*/
const getCompletionRates = async (req, res) => {
try {
const { startDate, endDate, courseId } = req.query;
const data = await AnalyticsService.getCompletionRates({
startDate: startDate ? new Date(startDate) : undefined,
endDate: endDate ? new Date(endDate) : undefined,
courseId: typeof courseId === 'string' && courseId.length > 0 ? courseId : undefined,
});

res.json({
success: true,
data: stripPII(data),
message: 'Completion rates fetched successfully',
});
} catch (error) {
logger.error('Error fetching completion rates:', error);
res
.status(500)
.json({ success: false, message: 'Failed to fetch completion rates' });
}
};

/**
* GET /api/v1/analytics/export
* Legacy raw-data dump endpoint. Lazy-creates its own pg pool so module import
* has zero side effects. Outputs a self-describing JSON attachment (max 1000
* rows).
*/
const exportData = async (req, res) => {
try {
const data = await pool.query('SELECT * FROM activity_logs LIMIT 1000');
const jsonContent = JSON.stringify(data.rows, null, 2);

res.setHeader('Content-disposition', 'attachment; filename=activity_export.json');
res.set('Content-Type', 'application/json');
res.status(200).send(jsonContent);
const data = await getExportPool().query(
'SELECT * FROM activity_logs ORDER BY timestamp DESC LIMIT 1000'
);
const jsonContent = JSON.stringify(data.rows, null, 2);

res.setHeader('Content-disposition', 'attachment; filename=activity_export.json');
res.set('Content-Type', 'application/json');
res.status(200).send(jsonContent);
} catch (err) {
logger.error('Export failed:', err);
res.status(500).json({ error: 'Export failed' });
}
};

module.exports = { getOverviewStats, getDetailedReport, exportData };
module.exports = {
getOverviewStats,
getDetailedReport,
getEnrollmentTrends,
getCompletionRates,
exportData,
};
131 changes: 131 additions & 0 deletions backend/src/models/analytics.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,131 @@
/**
* Analytics model facades for Course, Enrollment, User.
*
* Issue #26 ("Real course analytics with database aggregation pipeline")
* requires aggregation helper methods on the Course, Enrollment, and User
* models. In this codebase those TypeScript interfaces (`backend/src/models/
* Course.ts`, `Enrollment.ts`, `User.ts`) are interface-only — the source of
* truth for course events is the `activity_logs` PostgreSQL table.
*
* To satisfy the issue without duplicating SQL strings across the codebase,
* these facades expose typed, PII-safe aggregation helpers that delegate to
* the existing `AnalyticsService`. New endpoints AND tests should prefer
* these classes over the raw service to keep model semantics consistent.
*/

import { AnalyticsService } from '../services/analyticsService';

export interface TrendQuery {
startDate?: Date;
endDate?: Date;
granularity?: 'day' | 'week' | 'month';
}

export interface CompletionQuery {
startDate?: Date;
endDate?: Date;
courseId?: string;
}

export interface EnrollmentTrendPoint {
/** ISO date (YYYY-MM-DD) for the bucket boundary. */
bucket: string;
/** Course identifier (NOT a user identifier - safe to expose). */
courseId: string | null;
enrollments: number;
}

export interface EnrollmentTrendResult {
granularity: 'day' | 'week' | 'month';
points: EnrollmentTrendPoint[];
}

export interface CompletionRateBucket {
courseId: string;
totalEnrollments: number;
completedCount: number;
/** 0–100, rounded to nearest integer. */
completionRate: number;
}

export interface CompletionRateResult {
totalEnrollments: number;
completedCount: number;
/** 0–100, rounded to nearest integer. */
completionRate: number;
byCourse?: CompletionRateBucket[];
}

export interface StudentPerformanceResult {
activeUsers: number;
averageEventsPerUser: number;
/** Null when no enrollment/completion pairs were available. */
courseCompletionAverageDays: number | null;
period: { start: string; end: string };
}

/**
* Course-scoped analytics helpers.
*
* Every method returns aggregates only — never an individual enrollment or
* user record, so PII is never present in responses.
*/
export class CourseAnalytics {
/**
* Bucketed enrollment counts for a single course.
*/
static async getEnrollmentTrends(
courseId: string,
query: TrendQuery = {}
): Promise<EnrollmentTrendResult> {
return AnalyticsService.getEnrollmentTrends({ ...query, courseId });
}

/**
* Overall course completion-rate (enrollments → completions) over a window.
*/
static async getCompletionRate(
courseId: string,
query: Omit<TrendQuery, 'granularity'> = {}
): Promise<CompletionRateResult> {
return AnalyticsService.getCompletionRates({ ...query, courseId });
}
}

/**
* Enrollment-scoped analytics helpers.
*/
export class EnrollmentAnalytics {
/**
* Platform-wide bucketed enrollment counts.
*/
static async getEnrollmentTrends(query: TrendQuery = {}): Promise<EnrollmentTrendResult> {
return AnalyticsService.getEnrollmentTrends(query);
}

/**
* Completion-rate aggregates either globally (per-course breakdown) or for
* a single course.
*/
static async getCompletionRates(query: CompletionQuery = {}): Promise<CompletionRateResult> {
return AnalyticsService.getCompletionRates(query);
}
}

/**
* User-scoped analytics helpers.
* All outputs are anonymized aggregates — no user identifier is ever returned.
*/
export class UserAnalytics {
/**
* Aggregated, anonymized student performance snapshot over a date window.
*/
static async getStudentPerformanceMetrics(
query: TrendQuery = {}
): Promise<StudentPerformanceResult> {
return AnalyticsService.getStudentPerformanceMetrics({
startDate: query.startDate,
endDate: query.endDate,
});
}
}
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