Fas 1a: analytics tracker, ingestion endpoint, admin dashboards
This commit is contained in:
Sven (AAMOS AI)
@@ -8,6 +8,7 @@ import { ModerationPage } from "./pages/Moderation.js";
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import { FlagsPage } from "./pages/Flags.js";
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import { SubscriptionsPage } from "./pages/Subscriptions.js";
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import { AuditLogsPage } from "./pages/AuditLogs.js";
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import { AnalyticsPage } from "./pages/Analytics.js";
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export function App() {
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const [authed, setAuthed] = useState(hasToken());
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@@ -28,6 +29,7 @@ export function App() {
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<NavLink to="/flags">Feature flags</NavLink>
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<NavLink to="/subscriptions">Prenumerationer</NavLink>
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<NavLink to="/audit">Audit logs</NavLink>
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<NavLink to="/analytics">Analytics</NavLink>
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<button
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onClick={() => {
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setToken(null);
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@@ -45,6 +47,7 @@ export function App() {
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<Route path="/flags" element={<FlagsPage />} />
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<Route path="/subscriptions" element={<SubscriptionsPage />} />
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<Route path="/audit" element={<AuditLogsPage />} />
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<Route path="/analytics" element={<AnalyticsPage />} />
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<Route path="*" element={<Navigate to="/" replace />} />
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</Routes>
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</main>
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@@ -0,0 +1,210 @@
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import { useEffect, useMemo, useState } from "react";
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import { api } from "../api.js";
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interface FunnelDef {
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name: string;
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steps: string[];
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}
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interface FunnelResult {
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name: string;
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startDate: string;
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endDate: string;
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steps: Array<{ step: number; event: string; count: number }>;
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conversionFromFirst: Array<{ step: number; event: string; rate: number }>;
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}
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interface RetentionResult {
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cohorts: Record<
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string,
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{ cohortSize: number; retention: Array<{ day: number; active: number; rate: number }> }
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>;
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}
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interface EventCountsResult {
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counts: Array<{
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date: string;
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event_name: string;
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total: number;
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unique_sessions: number;
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unique_users: number;
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}>;
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}
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function today() {
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return new Date().toISOString().slice(0, 10);
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}
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function weekAgo() {
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const d = new Date();
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d.setUTCDate(d.getUTCDate() - 7);
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return d.toISOString().slice(0, 10);
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}
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export function AnalyticsPage() {
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const [funnels, setFunnels] = useState<FunnelDef[]>([]);
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const [funnelName, setFunnelName] = useState<string>("");
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const [funnelStart, setFunnelStart] = useState<string>(weekAgo());
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const [funnelEnd, setFunnelEnd] = useState<string>(today());
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const [funnelResult, setFunnelResult] = useState<FunnelResult | null>(null);
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const [retStart, setRetStart] = useState<string>(weekAgo());
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const [retEnd, setRetEnd] = useState<string>(today());
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const [retention, setRetention] = useState<RetentionResult | null>(null);
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const [countsStart, setCountsStart] = useState<string>(weekAgo());
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const [countsEnd, setCountsEnd] = useState<string>(today());
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const [counts, setCounts] = useState<EventCountsResult | null>(null);
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const [error, setError] = useState<string | null>(null);
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useEffect(() => {
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api<{ funnels: FunnelDef[] }>("/admin/v1/analytics/funnels")
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.then((res) => {
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setFunnels(res.funnels);
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if (res.funnels[0]) setFunnelName(res.funnels[0].name);
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})
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.catch((e) => setError(String(e.message)));
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}, []);
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const loadFunnel = () => {
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if (!funnelName) return;
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api<FunnelResult>(
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`/admin/v1/analytics/funnels/${encodeURIComponent(funnelName)}?startDate=${funnelStart}&endDate=${funnelEnd}`,
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)
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.then(setFunnelResult)
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.catch((e) => setError(String(e.message)));
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};
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const loadRetention = () => {
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api<RetentionResult>(
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`/admin/v1/analytics/retention?startDate=${retStart}&endDate=${retEnd}`,
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)
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.then(setRetention)
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.catch((e) => setError(String(e.message)));
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};
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const loadCounts = () => {
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api<EventCountsResult>(
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`/admin/v1/analytics/event-counts?startDate=${countsStart}&endDate=${countsEnd}`,
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)
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.then(setCounts)
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.catch((e) => setError(String(e.message)));
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};
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const countsByEvent = useMemo(() => {
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if (!counts) return [];
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const grouped = new Map<string, { dates: string[]; totals: number[] }>();
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for (const row of counts.counts) {
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const existing = grouped.get(row.event_name);
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if (!existing) {
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grouped.set(row.event_name, { dates: [row.date], totals: [Number(row.total)] });
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} else {
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existing.dates.push(row.date);
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existing.totals.push(Number(row.total));
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}
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}
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return Array.from(grouped.entries()).map(([event, data]) => ({ event, ...data }));
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}, [counts]);
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return (
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<div>
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<h2>Analytics</h2>
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{error && <div className="error-text">{error}</div>}
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<div className="panel">
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<h3>Funnels</h3>
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<div className="form-row">
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<select value={funnelName} onChange={(e) => setFunnelName(e.target.value)}>
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{funnels.map((f) => (
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<option key={f.name} value={f.name}>
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{f.name}
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</option>
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))}
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</select>
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<input type="date" value={funnelStart} onChange={(e) => setFunnelStart(e.target.value)} />
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<input type="date" value={funnelEnd} onChange={(e) => setFunnelEnd(e.target.value)} />
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<button onClick={loadFunnel}>Beräkna</button>
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</div>
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{funnelResult && (
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<table>
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<thead>
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<tr>
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<th>Steg</th>
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<th>Event</th>
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<th>Antal</th>
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<th>Konvertering från första</th>
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</tr>
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</thead>
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<tbody>
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{funnelResult.steps.map((s, i) => (
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<tr key={s.step}>
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<td>{s.step}</td>
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<td>{s.event}</td>
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<td>{s.count}</td>
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<td>{(funnelResult.conversionFromFirst[i]?.rate ?? 0 * 100).toFixed(1)}%</td>
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</tr>
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))}
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</tbody>
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</table>
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)}
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</div>
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<div className="panel">
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<h3>Retention</h3>
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<div className="form-row">
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<input type="date" value={retStart} onChange={(e) => setRetStart(e.target.value)} />
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<input type="date" value={retEnd} onChange={(e) => setRetEnd(e.target.value)} />
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<button onClick={loadRetention}>Ladda</button>
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</div>
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{retention && (
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<table>
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<thead>
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<tr>
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<th>Kohort</th>
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<th>Storlek</th>
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{Array.from({ length: 8 }, (_, i) => (
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<th key={i}>Dag {i}</th>
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))}
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</tr>
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</thead>
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<tbody>
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{Object.entries(retention.cohorts).map(([date, cohort]) => (
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<tr key={date}>
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<td>{date}</td>
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<td>{cohort.cohortSize}</td>
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{cohort.retention.slice(0, 8).map((r) => (
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<td key={r.day}>{(r.rate * 100).toFixed(0)}%</td>
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))}
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</tr>
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))}
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</tbody>
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</table>
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)}
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</div>
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<div className="panel">
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<h3>Eventvolymer</h3>
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<div className="form-row">
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<input type="date" value={countsStart} onChange={(e) => setCountsStart(e.target.value)} />
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<input type="date" value={countsEnd} onChange={(e) => setCountsEnd(e.target.value)} />
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<button onClick={loadCounts}>Ladda</button>
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</div>
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{countsByEvent.map(({ event, dates, totals }) => (
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<div key={event} style={{ marginTop: "1rem" }}>
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<strong>{event}</strong>
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<div
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style={{
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display: "grid",
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gridTemplateColumns: "repeat(auto-fill, minmax(120px, 1fr))",
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gap: "0.5rem",
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}}
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>
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{dates.map((d, i) => (
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<div key={d} className="stat" style={{ padding: "0.5rem" }}>
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<div className="value">{totals[i]}</div>
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<div className="label">{d.slice(5)}</div>
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</div>
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))}
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</div>
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</div>
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))}
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</div>
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</div>
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);
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}
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@@ -0,0 +1,211 @@
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import type { FastifyInstance } from "fastify";
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import { sql } from "drizzle-orm";
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import { z } from "zod";
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import { FUNNELS } from "@app/shared-types";
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import { errors } from "../lib/errors.js";
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/**
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* Admin analytics dashboards: funnels and retention (spec §8.2).
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* Queries run against product_analytics_events; no materialized aggregates
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* required for beta volumes.
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*/
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export async function adminAnalyticsRoutes(app: FastifyInstance) {
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const admin = { preHandler: [app.requireAdmin] };
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/** List available funnels. */
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app.get("/admin/v1/analytics/funnels", admin, async () => {
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return {
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funnels: Object.entries(FUNNELS).map(([name, steps]) => ({ name, steps })),
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};
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});
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/** Compute a funnel between two UTC dates (YYYY-MM-DD). */
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app.get("/admin/v1/analytics/funnels/:name", admin, async (req) => {
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const params = z.object({ name: z.enum(Object.keys(FUNNELS) as [string, ...string[]]) }).parse(req.params);
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const query = z
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.object({
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startDate: z.string().regex(/^\d{4}-\d{2}-\d{2}$/),
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endDate: z.string().regex(/^\d{4}-\d{2}-\d{2}$/),
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})
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.parse(req.query);
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const steps = FUNNELS[params.name as keyof typeof FUNNELS];
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const start = new Date(query.startDate);
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const end = new Date(query.endDate);
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end.setUTCDate(end.getUTCDate() + 1);
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// Build a CTE chain: each step selects distinct users who completed the
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// current event after the previous step's timestamp.
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const ctes: string[] = [];
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const selects: string[] = [];
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for (let i = 0; i < steps.length; i++) {
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const prev = i > 0 ? `step${i - 1}` : null;
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const cteName = `step${i}`;
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const event = steps[i]!;
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if (i === 0) {
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ctes.push(
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`${cteName} AS (\n` +
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` SELECT DISTINCT user_id, household_id\n` +
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` FROM product_analytics_events\n` +
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` WHERE event_name = ${sqlParam(event)}\n` +
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` AND occurred_at >= ${sqlParam(start.toISOString())}\n` +
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` AND occurred_at < ${sqlParam(end.toISOString())}\n` +
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`)`,
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);
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} else {
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ctes.push(
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`${cteName} AS (\n` +
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` SELECT DISTINCT ${prev!}.user_id, ${prev!}.household_id\n` +
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` FROM ${prev!}\n` +
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` INNER JOIN product_analytics_events e ON e.user_id = ${prev!}.user_id\n` +
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` WHERE e.event_name = ${sqlParam(event)}\n` +
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` AND e.occurred_at >= ${sqlParam(start.toISOString())}\n` +
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` AND e.occurred_at < ${sqlParam(end.toISOString())}\n` +
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`)`,
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);
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}
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selects.push(`(SELECT count(*) FROM ${cteName}) AS step${i}`);
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}
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const querySql = `WITH ${ctes.join(", ")} SELECT ${selects.join(", ")}`;
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const result = await app.db.execute(sql.raw(querySql));
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const row = (Array.isArray(result) ? result[0] : (result.rows[0] ?? {})) as Record<string, number>;
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const stepCounts = steps.map((event, i) => ({
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step: i + 1,
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event,
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count: Number(row[`step${i}`] ?? 0),
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}));
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return {
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name: params.name,
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startDate: query.startDate,
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endDate: query.endDate,
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steps: stepCounts,
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conversionFromFirst: stepCounts.map((s, i) => ({
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step: s.step,
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event: s.event,
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rate: i === 0 ? 1 : stepCounts[0]?.count ? s.count / stepCounts[0].count : 0,
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})),
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};
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});
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/** Retention cohorts. Cohort = users with account_created on a given UTC day.
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* Returns active users per cohort day for 0..30 days after creation.
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*/
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app.get("/admin/v1/analytics/retention", admin, async (req) => {
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const query = z
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.object({
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startDate: z.string().regex(/^\d{4}-\d{2}-\d{2}$/),
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endDate: z.string().regex(/^\d{4}-\d{2}-\d{2}$/).optional(),
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})
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.parse(req.query);
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const endDate = query.endDate ?? new Date().toISOString().slice(0, 10);
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const cohortStart = new Date(query.startDate);
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const cohortEnd = new Date(endDate);
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cohortEnd.setUTCDate(cohortEnd.getUTCDate() + 1);
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const raw = `
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WITH cohort AS (
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SELECT DISTINCT user_id,
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(occurred_at AT TIME ZONE 'UTC')::date AS cohort_date
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FROM product_analytics_events
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WHERE event_name = 'account_created'
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AND occurred_at >= ${sqlParam(cohortStart.toISOString())}
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AND occurred_at < ${sqlParam(cohortEnd.toISOString())}
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),
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activity AS (
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SELECT user_id,
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(occurred_at AT TIME ZONE 'UTC')::date AS active_date
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FROM product_analytics_events
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WHERE occurred_at >= ${sqlParam(cohortStart.toISOString())}
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),
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sizes AS (
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SELECT cohort_date, count(DISTINCT user_id) AS cohort_size
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FROM cohort
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GROUP BY cohort_date
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)
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SELECT s.cohort_date,
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d.day,
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s.cohort_size,
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count(DISTINCT a.user_id) AS active_users
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FROM sizes s
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CROSS JOIN generate_series(0, 30) AS d(day)
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LEFT JOIN cohort c ON c.cohort_date = s.cohort_date
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LEFT JOIN activity a
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ON a.user_id = c.user_id
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AND a.active_date = s.cohort_date + d.day
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GROUP BY s.cohort_date, d.day, s.cohort_size
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ORDER BY s.cohort_date, d.day
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`;
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const result = await app.db.execute(sql.raw(raw));
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const rows = Array.isArray(result) ? result : result.rows;
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const cohorts: Record<
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string,
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{ cohortSize: number; retention: Array<{ day: number; active: number; rate: number }> }
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> = {};
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for (const r of rows as Array<{ cohort_date: string; day: number; cohort_size: number; active_users: number }>) {
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const key = String(r.cohort_date).slice(0, 10);
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if (!cohorts[key]) {
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cohorts[key] = { cohortSize: Number(r.cohort_size), retention: [] };
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}
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const size = Number(r.cohort_size);
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cohorts[key].retention.push({
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day: Number(r.day),
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active: Number(r.active_users),
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rate: size > 0 ? Number(r.active_users) / size : 0,
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});
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}
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return { cohorts };
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});
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/** Daily event counts for trend charts. */
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app.get("/admin/v1/analytics/event-counts", admin, async (req) => {
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const query = z
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.object({
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startDate: z.string().regex(/^\d{4}-\d{2}-\d{2}$/),
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endDate: z.string().regex(/^\d{4}-\d{2}-\d{2}$/),
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eventName: z.string().max(64).optional(),
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})
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.parse(req.query);
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const start = new Date(query.startDate);
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const end = new Date(query.endDate);
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end.setUTCDate(end.getUTCDate() + 1);
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let filter = "";
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if (query.eventName) {
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filter = `AND event_name = ${sqlParam(query.eventName)}`;
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}
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const raw = `
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SELECT (occurred_at AT TIME ZONE 'UTC')::date AS date,
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event_name,
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count(*) AS total,
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count(DISTINCT session_id) AS unique_sessions,
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count(DISTINCT user_id) AS unique_users
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FROM product_analytics_events
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WHERE occurred_at >= ${sqlParam(start.toISOString())}
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AND occurred_at < ${sqlParam(end.toISOString())}
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${filter}
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GROUP BY date, event_name
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ORDER BY date, event_name
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`;
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const result = await app.db.execute(sql.raw(raw));
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const rows = Array.isArray(result) ? result : result.rows;
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return { counts: rows };
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});
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}
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/** Escape a string/date parameter for raw SQL by wrapping it in single quotes.
|
||||
* This is intentionally local-only SQL; dates and enums are validated above.
|
||||
*/
|
||||
function sqlParam(value: string | number): string {
|
||||
if (typeof value === "number") return String(value);
|
||||
return `'${String(value).replace(/'/g, "''")}'`;
|
||||
}
|
||||
@@ -0,0 +1,93 @@
|
||||
import type { FastifyInstance, FastifyRequest } from "fastify";
|
||||
import { isAnalyticsOptedIn, schema } from "@app/database";
|
||||
import {
|
||||
analyticsBatchInputSchema,
|
||||
MAX_ANALYTICS_BATCH_SIZE,
|
||||
validateAnalyticsPropertySize,
|
||||
} from "@app/validation";
|
||||
import { parse, errors } from "../lib/errors.js";
|
||||
import { audit } from "../lib/helpers.js";
|
||||
|
||||
/** Max events per batch is also the per-minute rate-limit budget for this endpoint. */
|
||||
const ANALYTICS_RATE_LIMIT_MAX = MAX_ANALYTICS_BATCH_SIZE;
|
||||
|
||||
/**
|
||||
* Product analytics ingestion (spec §8.2).
|
||||
* Accepts both authenticated and anonymous events. Anonymous events must have
|
||||
* anonymousId and can be backfilled to userId later when the user logs in.
|
||||
*/
|
||||
export async function analyticsRoutes(app: FastifyInstance) {
|
||||
app.post(
|
||||
"/v1/analytics/events",
|
||||
{
|
||||
config: {
|
||||
rateLimit: {
|
||||
max: ANALYTICS_RATE_LIMIT_MAX,
|
||||
timeWindow: "1 minute",
|
||||
keyGenerator: (req) => `analytics:${req.ip}:${(req as unknown as { userId?: string }).userId ?? "anon"}`,
|
||||
},
|
||||
},
|
||||
},
|
||||
async (req, reply) => {
|
||||
const input = parse(analyticsBatchInputSchema, req.body, "analytics batch");
|
||||
validateAnalyticsPropertySize(input.events);
|
||||
|
||||
let userId: string | undefined;
|
||||
try {
|
||||
const payload = await req.jwtVerify<{ sub: string; role: string; type: string }>();
|
||||
if (payload.type === "access" && payload.sub) {
|
||||
userId = payload.sub;
|
||||
}
|
||||
} catch {
|
||||
// Anonymous event – fine as long as the batch carries anonymousId.
|
||||
}
|
||||
const isAuthenticated = !!userId;
|
||||
|
||||
if (isAuthenticated && userId) {
|
||||
const optedIn = await isAnalyticsOptedIn(app.db, userId);
|
||||
if (!optedIn) {
|
||||
throw errors.forbidden("Analytics collection disabled by user consent.");
|
||||
}
|
||||
}
|
||||
|
||||
const now = new Date();
|
||||
const rows = input.events.map((event, index) => {
|
||||
const occurredAt = event.occurredAt ? new Date(event.occurredAt) : now;
|
||||
if (Number.isNaN(occurredAt.getTime())) {
|
||||
throw errors.badRequest(`Invalid occurredAt for event ${index}`);
|
||||
}
|
||||
return {
|
||||
occurredAt,
|
||||
receivedAt: now,
|
||||
eventName: event.name,
|
||||
anonymousId: event.anonymousId ?? null,
|
||||
sessionId: event.sessionId ?? null,
|
||||
userId: isAuthenticated ? userId : null,
|
||||
householdId: event.householdId ?? null,
|
||||
appVersion: event.appVersion ?? null,
|
||||
platform: event.platform ?? null,
|
||||
locale: event.locale ?? null,
|
||||
experimentVariant: event.experimentVariant ?? null,
|
||||
properties: event.properties ?? {},
|
||||
};
|
||||
});
|
||||
|
||||
// Single insert for the whole batch. On conflict is impossible because
|
||||
// events are insert-only with random UUIDs.
|
||||
const result = await app.db.insert(schema.productAnalyticsEvents).values(rows);
|
||||
const accepted = result.rowCount ?? rows.length;
|
||||
|
||||
if (isAuthenticated) {
|
||||
await audit(app.db, {
|
||||
actorUserId: userId,
|
||||
action: "analytics.ingest",
|
||||
targetType: "analytics_batch",
|
||||
targetId: String(accepted),
|
||||
ip: req.ip,
|
||||
});
|
||||
}
|
||||
|
||||
return reply.code(202).send({ accepted, rejected: 0 });
|
||||
},
|
||||
);
|
||||
}
|
||||
@@ -21,6 +21,8 @@ import { budgetRoutes } from "./routes/budget.js";
|
||||
import { subscriptionRoutes } from "./routes/subscriptions.js";
|
||||
import { communityRoutes } from "./routes/community.js";
|
||||
import { adminRoutes } from "./routes/admin.js";
|
||||
import { adminAnalyticsRoutes } from "./routes/admin-analytics.js";
|
||||
import { analyticsRoutes } from "./routes/analytics.js";
|
||||
|
||||
declare module "fastify" {
|
||||
interface FastifyInstance {
|
||||
@@ -80,6 +82,8 @@ export async function buildServer(config: AppConfig) {
|
||||
await app.register(subscriptionRoutes);
|
||||
await app.register(communityRoutes);
|
||||
await app.register(adminRoutes);
|
||||
await app.register(adminAnalyticsRoutes);
|
||||
await app.register(analyticsRoutes);
|
||||
|
||||
return app;
|
||||
}
|
||||
|
||||
@@ -11,6 +11,7 @@
|
||||
"test": "vitest run --passWithNoTests"
|
||||
},
|
||||
"dependencies": {
|
||||
"@app/analytics": "workspace:*",
|
||||
"@app/shared-types": "workspace:*",
|
||||
"@react-native-async-storage/async-storage": "^3.1.1",
|
||||
"@tanstack/query-async-storage-persister": "^5.90.0",
|
||||
|
||||
Reference in New Issue
Block a user