Phase 9f: Statistik-Dashboard
Neuer Endpoint GET /api/v1/me/stats liefert in einem Aufruf alle Aggregate für die Stats-UI: - total_decks / total_cards / total_reviews / due_now - state_counts pro FSRS-Zustand (new/learning/review/relearning) - reviewed_per_day für die letzten 7 Tage (Quelle: reviews.last_review, via to_char(day, 'YYYY-MM-DD') auf Postgres-Seite gruppiert) - streak_days (rückwärts ab heute bis zum ersten Tag ohne Review) study_sessions wird aktuell NICHT befüllt — der Schema-Slot existiert seit Phase 3, aber der Session-Tracker kommt erst, wenn das Lern- Flow-Layer ausgebaut wird. last_review reicht für jetzt. /stats-Page rendert vier KPI-Cards, einen 7-Tage-Säulen-Chart per CSS-Heights, plus eine FSRS-State-Distribution. Header-Nav um "Statistik" ergänzt. E2E-Smoke gegen lokale Postgres bestätigt: bestehender Cloze-User zeigt 1 Deck, 1 Karte, 2 Reviews, 2 due, alle "new"-State, 0 Streak — passt zum gestern eingespielten Smoke-User. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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4 changed files with 238 additions and 2 deletions
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@ -1,8 +1,8 @@
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import { eq } from 'drizzle-orm';
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import { and, eq, gte, isNotNull, lte, sql } from 'drizzle-orm';
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import { Hono } from 'hono';
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import { getDb, type CardsDb } from '../db/connection.ts';
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import { decks, importJobs } from '../db/schema/index.ts';
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import { cards, decks, importJobs, reviews } from '../db/schema/index.ts';
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import { authMiddleware, type AuthVars } from '../middleware/auth.ts';
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import { buildUserExport } from './dsgvo.ts';
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@ -26,6 +26,97 @@ export function meRouter(deps: MeDeps = {}): Hono<{ Variables: AuthVars }> {
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return c.json(await buildUserExport(dbOf(), userId));
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});
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/**
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* Statistik-Snapshot für die Account-/Stats-Page. Nicht-cached, alle
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* Aggregate per Query. Ein einzelner Aufruf reicht für die /stats-UI.
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*
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* `reviewed_per_day` ist ein 7-Tage-Fenster (heute + 6 zurück), basierend
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* auf `reviews.last_review` — nicht study_sessions, weil die aktuell
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* nicht befüllt werden (Schema-Slot existiert, Writer kommt mit dem
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* Session-Tracker in einer späteren Phase).
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*/
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r.get('/stats', async (c) => {
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const userId = c.get('userId');
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const db = dbOf();
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const now = new Date();
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const thirtyAgo = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000);
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const [deckCountRow] = await db
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.select({ n: sql<number>`count(*)::int` })
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.from(decks)
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.where(eq(decks.userId, userId));
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const [cardCountRow] = await db
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.select({ n: sql<number>`count(*)::int` })
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.from(cards)
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.where(eq(cards.userId, userId));
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const [reviewCountRow] = await db
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.select({ n: sql<number>`count(*)::int` })
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.from(reviews)
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.where(eq(reviews.userId, userId));
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const [dueCountRow] = await db
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.select({ n: sql<number>`count(*)::int` })
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.from(reviews)
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.where(and(eq(reviews.userId, userId), lte(reviews.due, now)));
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const stateRows = await db
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.select({ state: reviews.state, n: sql<number>`count(*)::int` })
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.from(reviews)
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.where(eq(reviews.userId, userId))
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.groupBy(reviews.state);
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const stateCounts: Record<string, number> = {
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new: 0,
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learning: 0,
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review: 0,
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relearning: 0,
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};
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for (const row of stateRows) stateCounts[row.state] = row.n;
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// Reviews pro Tag — gruppiert auf UTC-Tag.
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const dayRows = await db
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.select({
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day: sql<string>`to_char(${reviews.lastReview}, 'YYYY-MM-DD')`,
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n: sql<number>`count(*)::int`,
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})
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.from(reviews)
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.where(
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and(eq(reviews.userId, userId), isNotNull(reviews.lastReview), gte(reviews.lastReview, thirtyAgo))
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)
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.groupBy(sql`to_char(${reviews.lastReview}, 'YYYY-MM-DD')`);
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const byDay = new Map(dayRows.map((r) => [r.day, r.n]));
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const reviewed7 = Array.from({ length: 7 }, (_, i) => {
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const d = new Date(Date.now() - (6 - i) * 24 * 60 * 60 * 1000);
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const key = d.toISOString().slice(0, 10);
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return { day: key, n: byDay.get(key) ?? 0 };
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});
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// Streak: rückwärts ab heute (UTC) bis zum ersten Tag ohne Reviews.
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let streak = 0;
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for (let i = 0; i < 30; i++) {
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const d = new Date(Date.now() - i * 24 * 60 * 60 * 1000);
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const key = d.toISOString().slice(0, 10);
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if ((byDay.get(key) ?? 0) > 0) streak++;
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else break;
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}
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return c.json({
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user_id: userId,
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generated_at: now.toISOString(),
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total_decks: deckCountRow?.n ?? 0,
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total_cards: cardCountRow?.n ?? 0,
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total_reviews: reviewCountRow?.n ?? 0,
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due_now: dueCountRow?.n ?? 0,
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state_counts: stateCounts,
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reviewed_per_day: reviewed7,
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streak_days: streak,
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});
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});
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/**
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* Vollständige Löschung der eigenen Cards-Daten. Identisch zur
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* Service-Key-Variante in /dsgvo/delete, aber für den eingeloggten
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