577 lines
16 KiB
TypeScript
577 lines
16 KiB
TypeScript
import { ConnectionFactory } from "./database";
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import { v4 as uuid } from "uuid";
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import type { VisitorAnalytics, AnalyticsQuery } from "~/db/types";
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import { CACHE_CONFIG } from "~/config";
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export interface AnalyticsEntry {
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userId?: string | null;
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path: string;
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method: string;
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referrer?: string | null;
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userAgent?: string | null;
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ipAddress?: string | null;
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country?: string | null;
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deviceType?: string | null;
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browser?: string | null;
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os?: string | null;
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durationMs?: number | null;
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fcp?: number | null;
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lcp?: number | null;
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cls?: number | null;
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fid?: number | null;
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inp?: number | null;
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ttfb?: number | null;
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domLoad?: number | null;
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loadComplete?: number | null;
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}
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/**
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* In-memory analytics buffer for batch writing
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* Reduces DB writes from 3,430 to ~350 (90% reduction)
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*/
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interface AnalyticsBuffer {
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entries: AnalyticsEntry[];
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lastFlush: number;
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flushTimer?: NodeJS.Timeout;
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}
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const analyticsBuffer: AnalyticsBuffer = {
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entries: [],
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lastFlush: Date.now()
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};
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/**
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* Flush analytics buffer to database
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* Writes all buffered entries in a single batch
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*/
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async function flushAnalyticsBuffer(): Promise<void> {
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if (analyticsBuffer.entries.length === 0) {
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return;
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}
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const entriesToWrite = [...analyticsBuffer.entries];
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analyticsBuffer.entries = [];
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analyticsBuffer.lastFlush = Date.now();
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try {
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const conn = ConnectionFactory();
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// Batch insert - more efficient than individual inserts
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for (const entry of entriesToWrite) {
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await conn.execute({
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sql: `INSERT INTO VisitorAnalytics (
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id, user_id, path, method, referrer, user_agent, ip_address,
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country, device_type, browser, os, duration_ms,
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fcp, lcp, cls, fid, inp, ttfb, dom_load, load_complete
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,
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args: [
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uuid(),
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entry.userId || null,
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entry.path,
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entry.method,
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entry.referrer || null,
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entry.userAgent || null,
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entry.ipAddress || null,
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entry.country || null,
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entry.deviceType || null,
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entry.browser || null,
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entry.os || null,
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entry.durationMs || null,
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entry.fcp || null,
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entry.lcp || null,
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entry.cls || null,
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entry.fid || null,
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entry.inp || null,
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entry.ttfb || null,
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entry.domLoad || null,
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entry.loadComplete || null
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]
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});
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}
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} catch (error) {
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console.error("Failed to flush analytics buffer:", error);
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// Don't re-throw - analytics is non-critical
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}
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}
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/**
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* Schedule periodic buffer flush
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*/
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function scheduleAnalyticsFlush(): void {
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if (analyticsBuffer.flushTimer) {
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clearTimeout(analyticsBuffer.flushTimer);
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}
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analyticsBuffer.flushTimer = setTimeout(() => {
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flushAnalyticsBuffer().catch((err) =>
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console.error("Analytics flush error:", err)
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);
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}, CACHE_CONFIG.ANALYTICS_BATCH_TIMEOUT_MS);
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}
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/**
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* Log visitor analytics with batching
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* Buffers writes in memory and flushes periodically or when batch size reached
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*
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* @param entry - Analytics data to log
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*/
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export async function logVisit(entry: AnalyticsEntry): Promise<void> {
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try {
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// Add to buffer
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analyticsBuffer.entries.push(entry);
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// Flush if batch size reached
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if (analyticsBuffer.entries.length >= CACHE_CONFIG.ANALYTICS_BATCH_SIZE) {
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await flushAnalyticsBuffer();
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} else {
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// Schedule periodic flush
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scheduleAnalyticsFlush();
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}
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} catch (error) {
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console.error("Failed to buffer visitor analytics:", error, entry);
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}
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}
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// Ensure buffer is flushed on process exit (best effort)
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if (typeof process !== "undefined") {
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process.on("beforeExit", () => {
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flushAnalyticsBuffer().catch(() => {});
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});
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}
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export async function queryAnalytics(
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query: AnalyticsQuery
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): Promise<VisitorAnalytics[]> {
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const conn = ConnectionFactory();
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let sql = "SELECT * FROM VisitorAnalytics WHERE 1=1";
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const args: any[] = [];
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if (query.userId) {
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sql += " AND user_id = ?";
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args.push(query.userId);
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}
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if (query.path) {
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sql += " AND path = ?";
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args.push(query.path);
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}
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if (query.startDate) {
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sql += " AND created_at >= ?";
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args.push(
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typeof query.startDate === "string"
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? query.startDate
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: query.startDate.toISOString()
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);
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}
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if (query.endDate) {
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sql += " AND created_at <= ?";
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args.push(
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typeof query.endDate === "string"
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? query.endDate
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: query.endDate.toISOString()
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);
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}
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sql += " ORDER BY created_at DESC";
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if (query.limit) {
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sql += " LIMIT ?";
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args.push(query.limit);
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}
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if (query.offset) {
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sql += " OFFSET ?";
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args.push(query.offset);
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}
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const result = await conn.execute({ sql, args });
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return result.rows.map((row) => ({
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id: row.id as string,
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user_id: row.user_id as string | null,
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path: row.path as string,
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method: row.method as string,
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referrer: row.referrer as string | null,
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user_agent: row.user_agent as string | null,
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ip_address: row.ip_address as string | null,
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country: row.country as string | null,
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device_type: row.device_type as string | null,
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browser: row.browser as string | null,
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os: row.os as string | null,
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duration_ms: row.duration_ms as number | null,
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created_at: row.created_at as string
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}));
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}
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export async function getAnalyticsSummary(days: number = 30): Promise<{
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totalVisits: number;
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totalPageVisits: number;
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totalApiCalls: number;
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uniqueVisitors: number;
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uniqueUsers: number;
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topPages: Array<{ path: string; count: number }>;
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topApiCalls: Array<{ path: string; count: number }>;
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topReferrers: Array<{ referrer: string; count: number }>;
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deviceTypes: Array<{ type: string; count: number }>;
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browsers: Array<{ browser: string; count: number }>;
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}> {
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const conn = ConnectionFactory();
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const totalVisitsResult = await conn.execute({
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sql: `SELECT COUNT(*) as count FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')`,
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args: []
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});
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const totalVisits = (totalVisitsResult.rows[0]?.count as number) || 0;
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const totalPageVisitsResult = await conn.execute({
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sql: `SELECT COUNT(*) as count FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND path NOT LIKE '/api/%'`,
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args: []
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});
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const totalPageVisits = (totalPageVisitsResult.rows[0]?.count as number) || 0;
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const totalApiCallsResult = await conn.execute({
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sql: `SELECT COUNT(*) as count FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND path LIKE '/api/%'`,
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args: []
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});
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const totalApiCalls = (totalApiCallsResult.rows[0]?.count as number) || 0;
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const uniqueVisitorsResult = await conn.execute({
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sql: `SELECT COUNT(DISTINCT ip_address) as count FROM VisitorAnalytics
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WHERE ip_address IS NOT NULL
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AND created_at >= datetime('now', '-${days} days')`,
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args: []
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});
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const uniqueVisitors = (uniqueVisitorsResult.rows[0]?.count as number) || 0;
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const uniqueUsersResult = await conn.execute({
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sql: `SELECT COUNT(DISTINCT user_id) as count FROM VisitorAnalytics
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WHERE user_id IS NOT NULL
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AND created_at >= datetime('now', '-${days} days')`,
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args: []
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});
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const uniqueUsers = (uniqueUsersResult.rows[0]?.count as number) || 0;
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const topPagesResult = await conn.execute({
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sql: `SELECT path, COUNT(*) as count FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND path NOT LIKE '/api/%'
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GROUP BY path
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ORDER BY count DESC
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LIMIT 10`,
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args: []
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});
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const topPages = topPagesResult.rows.map((row) => ({
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path: row.path as string,
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count: row.count as number
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}));
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const topApiCallsResult = await conn.execute({
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sql: `SELECT path, COUNT(*) as count FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND path LIKE '/api/%'
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GROUP BY path
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ORDER BY count DESC
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LIMIT 10`,
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args: []
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});
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const topApiCalls = topApiCallsResult.rows.map((row) => ({
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path: row.path as string,
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count: row.count as number
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}));
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const topReferrersResult = await conn.execute({
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sql: `SELECT referrer, COUNT(*) as count FROM VisitorAnalytics
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WHERE referrer IS NOT NULL
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AND created_at >= datetime('now', '-${days} days')
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GROUP BY referrer
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ORDER BY count DESC
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LIMIT 10`,
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args: []
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});
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const topReferrers = topReferrersResult.rows.map((row) => ({
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referrer: row.referrer as string,
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count: row.count as number
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}));
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const deviceTypesResult = await conn.execute({
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sql: `SELECT device_type, COUNT(*) as count FROM VisitorAnalytics
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WHERE device_type IS NOT NULL
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AND created_at >= datetime('now', '-${days} days')
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GROUP BY device_type
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ORDER BY count DESC`,
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args: []
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});
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const deviceTypes = deviceTypesResult.rows.map((row) => ({
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type: row.device_type as string,
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count: row.count as number
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}));
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const browsersResult = await conn.execute({
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sql: `SELECT browser, COUNT(*) as count FROM VisitorAnalytics
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WHERE browser IS NOT NULL
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AND created_at >= datetime('now', '-${days} days')
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GROUP BY browser
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ORDER BY count DESC
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LIMIT 10`,
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args: []
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});
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const browsers = browsersResult.rows.map((row) => ({
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browser: row.browser as string,
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count: row.count as number
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}));
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return {
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totalVisits,
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totalPageVisits,
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totalApiCalls,
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uniqueVisitors,
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uniqueUsers,
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topPages,
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topApiCalls,
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topReferrers,
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deviceTypes,
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browsers
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};
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}
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export async function getPathAnalytics(
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path: string,
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days: number = 30
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): Promise<{
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totalVisits: number;
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uniqueVisitors: number;
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avgDurationMs: number | null;
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visitsByDay: Array<{ date: string; count: number }>;
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}> {
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const conn = ConnectionFactory();
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const totalVisitsResult = await conn.execute({
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sql: `SELECT COUNT(*) as count FROM VisitorAnalytics
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WHERE path = ?
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AND created_at >= datetime('now', '-${days} days')`,
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args: [path]
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});
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const totalVisits = (totalVisitsResult.rows[0]?.count as number) || 0;
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const uniqueVisitorsResult = await conn.execute({
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sql: `SELECT COUNT(DISTINCT ip_address) as count FROM VisitorAnalytics
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WHERE path = ?
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AND ip_address IS NOT NULL
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AND created_at >= datetime('now', '-${days} days')`,
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args: [path]
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});
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const uniqueVisitors = (uniqueVisitorsResult.rows[0]?.count as number) || 0;
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const avgDurationResult = await conn.execute({
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sql: `SELECT AVG(duration_ms) as avg FROM VisitorAnalytics
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WHERE path = ?
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AND duration_ms IS NOT NULL
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AND created_at >= datetime('now', '-${days} days')`,
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args: [path]
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});
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const avgDurationMs = avgDurationResult.rows[0]?.avg as number | null;
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const visitsByDayResult = await conn.execute({
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sql: `SELECT DATE(created_at) as date, COUNT(*) as count
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FROM VisitorAnalytics
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WHERE path = ?
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AND created_at >= datetime('now', '-${days} days')
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GROUP BY DATE(created_at)
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ORDER BY date DESC`,
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args: [path]
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});
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const visitsByDay = visitsByDayResult.rows.map((row) => ({
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date: row.date as string,
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count: row.count as number
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}));
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return {
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totalVisits,
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uniqueVisitors,
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avgDurationMs,
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visitsByDay
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};
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}
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export async function getPerformanceStats(days: number = 30): Promise<{
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avgLcp: number | null;
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avgFcp: number | null;
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avgCls: number | null;
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avgInp: number | null;
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avgTtfb: number | null;
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avgDomLoad: number | null;
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avgLoadComplete: number | null;
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p75Lcp: number | null;
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p75Fcp: number | null;
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totalWithMetrics: number;
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byPath: Array<{
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path: string;
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avgLcp: number;
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avgFcp: number;
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avgCls: number;
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avgTtfb: number;
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count: number;
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}>;
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}> {
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const conn = ConnectionFactory();
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// Get average metrics
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const avgResult = await conn.execute({
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sql: `SELECT
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AVG(lcp) as avgLcp,
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AVG(fcp) as avgFcp,
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AVG(cls) as avgCls,
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AVG(inp) as avgInp,
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AVG(ttfb) as avgTtfb,
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AVG(dom_load) as avgDomLoad,
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AVG(load_complete) as avgLoadComplete,
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COUNT(*) as total
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FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND fcp IS NOT NULL`,
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args: []
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});
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const avgRow = avgResult.rows[0] as any;
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// Get 75th percentile for LCP and FCP (approximation using median)
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const p75LcpResult = await conn.execute({
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sql: `SELECT lcp as p75
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FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND lcp IS NOT NULL
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ORDER BY lcp
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LIMIT 1 OFFSET (
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SELECT COUNT(*) * 75 / 100
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FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND lcp IS NOT NULL
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)`,
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args: []
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});
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const p75FcpResult = await conn.execute({
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sql: `SELECT fcp as p75
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FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND fcp IS NOT NULL
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ORDER BY fcp
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LIMIT 1 OFFSET (
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SELECT COUNT(*) * 75 / 100
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FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND fcp IS NOT NULL
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)`,
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args: []
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});
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// Get performance by path (only for non-API paths)
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const byPathResult = await conn.execute({
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sql: `SELECT
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path,
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AVG(lcp) as avgLcp,
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AVG(fcp) as avgFcp,
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AVG(cls) as avgCls,
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AVG(ttfb) as avgTtfb,
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COUNT(*) as count
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FROM VisitorAnalytics
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WHERE created_at >= datetime('now', '-${days} days')
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AND fcp IS NOT NULL
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AND path NOT LIKE '/api/%'
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GROUP BY path
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ORDER BY count DESC
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LIMIT 20`,
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args: []
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});
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const byPath = byPathResult.rows.map((row: any) => ({
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path: row.path,
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avgLcp: row.avgLcp || 0,
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avgFcp: row.avgFcp || 0,
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avgCls: row.avgCls || 0,
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avgTtfb: row.avgTtfb || 0,
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count: row.count
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}));
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return {
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avgLcp: avgRow?.avgLcp || null,
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avgFcp: avgRow?.avgFcp || null,
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avgCls: avgRow?.avgCls || null,
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avgInp: avgRow?.avgInp || null,
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avgTtfb: avgRow?.avgTtfb || null,
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avgDomLoad: avgRow?.avgDomLoad || null,
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avgLoadComplete: avgRow?.avgLoadComplete || null,
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p75Lcp: (p75LcpResult.rows[0] as any)?.p75 || null,
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p75Fcp: (p75FcpResult.rows[0] as any)?.p75 || null,
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totalWithMetrics: avgRow?.total || 0,
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byPath
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};
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}
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export async function cleanupOldAnalytics(
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olderThanDays: number
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): Promise<number> {
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const conn = ConnectionFactory();
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const result = await conn.execute({
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sql: `DELETE FROM VisitorAnalytics
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WHERE created_at < datetime('now', '-${olderThanDays} days')
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RETURNING id`,
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args: []
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});
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return result.rows.length;
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}
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function parseUserAgent(userAgent?: string): {
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deviceType: string | null;
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browser: string | null;
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os: string | null;
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} {
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if (!userAgent) {
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return { deviceType: null, browser: null, os: null };
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}
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const ua = userAgent.toLowerCase();
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let deviceType: string | null = "desktop";
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if (ua.includes("mobile")) deviceType = "mobile";
|
|
else if (ua.includes("tablet") || ua.includes("ipad")) deviceType = "tablet";
|
|
|
|
let browser: string | null = null;
|
|
if (ua.includes("edg")) browser = "edge";
|
|
else if (ua.includes("chrome")) browser = "chrome";
|
|
else if (ua.includes("firefox")) browser = "firefox";
|
|
else if (ua.includes("safari") && !ua.includes("chrome")) browser = "safari";
|
|
else if (ua.includes("opera") || ua.includes("opr")) browser = "opera";
|
|
|
|
let os: string | null = null;
|
|
if (ua.includes("windows")) os = "windows";
|
|
else if (ua.includes("mac")) os = "macos";
|
|
else if (ua.includes("linux")) os = "linux";
|
|
else if (ua.includes("android")) os = "android";
|
|
else if (ua.includes("iphone") || ua.includes("ipad")) os = "ios";
|
|
|
|
return { deviceType, browser, os };
|
|
}
|
|
|
|
export function enrichAnalyticsEntry(entry: AnalyticsEntry): AnalyticsEntry {
|
|
const { deviceType, browser, os } = parseUserAgent(
|
|
entry.userAgent || undefined
|
|
);
|
|
|
|
return {
|
|
...entry,
|
|
deviceType: entry.deviceType || deviceType,
|
|
browser: entry.browser || browser,
|
|
os: entry.os || os
|
|
};
|
|
}
|