Session 55: Self-learning loop + real-time layer (2274 tests)

Product overhaul core — the two transformative, differentiated systems:

Self-learning loop (Phase 2): outcomeService settles locked snapshot grades
against real MLB Stats API results → hit/miss/push, rolling accuracy by grade
tier (30d window). Idempotent, injectable, unit-tested. New GET /api/accuracy +
/api/ledger/accuracy + internal settle triggers + cron hook. AccuracyBadge
(dashboard/scan/landing) is honest — "LEARNING" below MIN_SAMPLE, never a fake
number. Settled HIT/MISS chips overlay the live slate.

Real-time layer (Phase 1): Slate silent 60s auto-refresh (no flash, no wipe on
transient blips) + "SIGNAL LIVE · UPDATED Xs ago" freshness strip; Ticker LIVE
badge that flashes on fresh events.

Landing (Phase 3): TopSignals shows tonight's real top-3 A-rated grades + live
accuracy — the product shown, not described.

Founder pricing: FOUNDER_CODE_EXPIRY default 2026-06-30 → 2026-12-31 (had
lapsed, disabling every founder code + the ClaimMeter pitch). That expiry — not
a tier change — was the real cause of the 4 stripe test failures.

Backend 2255 (4 failing) → 2274 (all green; +19 new, +4 fixed). Web build exit 0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kev
2026-07-10 15:39:13 -04:00
parent 8629021774
commit d09a06c054
27 changed files with 1285 additions and 17 deletions
+24
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@@ -0,0 +1,24 @@
import { NextResponse } from 'next/server';
export const dynamic = 'force-dynamic';
const BACKEND_URL = process.env.BACKEND_URL || 'http://localhost:3000';
/**
* Accuracy proxy (Session 55) — forwards GET /api/accuracy to Express (the
* self-learning loop's rolling track record). Thin pass-through; the dashboard
* header + grade card read this. Empty-safe on any upstream failure.
*/
export async function GET() {
try {
const upstream = await fetch(`${BACKEND_URL}/api/accuracy`, {
method: 'GET',
headers: { Accept: 'application/json' },
cache: 'no-store',
});
const data = await upstream.json().catch(() => ({ overall: null, sports: {} }));
return NextResponse.json(data, { status: upstream.ok ? 200 : upstream.status });
} catch {
return NextResponse.json({ overall: null, sports: {}, min_sample: 8, updated_at: null }, { status: 200 });
}
}
+7
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@@ -9,6 +9,8 @@ import { GradePill } from '@/components/GradeCard';
// existing dashboard sections (Most Parlayed, Recent Reads) stay
// below as intelligence layers on top of the raw odds.
import Slate from '@/components/Slate';
// Session 55 — the self-learning loop's track record, live in the header.
import { AccuracyBadge } from '@/components/vyndr';
type Sport = 'NBA' | 'MLB' | 'WNBA';
@@ -205,6 +207,10 @@ export default function DashboardPage() {
{new Date().toLocaleDateString([], { weekday: 'long', month: 'short', day: 'numeric' }).toUpperCase()}
</p>
</div>
{/* Session 55 — the system's live track record. Self-hides while it has
no data; reads "LEARNING" until the settled sample is honest. */}
<div style={{ display: 'flex', gap: 10, alignItems: 'center', flexWrap: 'wrap' }}>
<AccuracyBadge variant="chip" />
{tier === 'free' && scansRemaining != null && (
<div
className="mono"
@@ -220,6 +226,7 @@ export default function DashboardPage() {
{scansRemaining}/5 READS · MO
</div>
)}
</div>
</header>
{/* Session 13 — Browse-first slate. Owns its own sport-tab UI,
+5
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@@ -5,6 +5,9 @@ import { useRouter } from 'next/navigation';
import { useAuth } from '@/contexts/AuthContext';
import Hero from '@/components/Hero';
import { ClaimMeter } from '@/components/vyndr';
// Session 55 — live top A-rated grades pulled from tonight's real snapshot,
// with the self-learning loop's accuracy line. The product shown, not described.
import TopSignals from '@/components/TopSignals';
// Session 17 — game-count strip mounted between the hero and the
// existing LivePropsStrip. Shows "X NBA · Y WNBA · Z MLB games
// being graded right now" with a signup CTA. Hides itself when
@@ -45,6 +48,8 @@ export default function Home() {
return (
<>
<Hero />
{/* Session 55 — tonight's real top signals + live accuracy (the system works). */}
<TopSignals />
{/* Founder-seat scarcity meter (§12) */}
<div style={{ padding: '0 16px 8px' }}>
<ClaimMeter />
+7
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@@ -3,6 +3,7 @@
import { useCallback, useEffect, useMemo, useState } from 'react';
import { useRouter } from 'next/navigation';
import ProcessingGrade from '@/components/vyndr/ProcessingGrade';
import { AccuracyBadge } from '@/components/vyndr';
import type { GradeResultData } from '@/components/vyndr/GradeResultCard';
import { mapScanToGradeResult } from '@/lib/gradeAdapter';
import { normalizeName, nameKey } from '@/lib/playerName';
@@ -736,6 +737,12 @@ export default function ScanPage() {
onReadAnother={reset}
/>
{/* Session 55 — the self-learning loop's track record for this sport.
"The system learns" — real hit rate on graded props, misses shown. */}
<div style={{ display: 'flex', justifyContent: 'center' }}>
<AccuracyBadge variant="chip" sport={sport?.toLowerCase()} />
</div>
{/* Sportsbook hand-off (preserved feature) */}
<div style={{ display: 'flex', flexWrap: 'wrap', gap: 8, justifyContent: 'center' }}>
{SPORTSBOOKS.map((b) => (