Trace-first: the normalizer functions were correct (S47) but raw names still
flowed through paths that skipped them. Fixed each leaking path.
- 2a (source chokepoint): snapshotService.runSnapshot normalizes each grade's
player to the de-dotted display AND dedupes to one grade per nameKey|stat
(highest confidence) before writing grades:{sport} + snapshot:latest. Every
consumer (GameCard, Explore, leaders, profile) now gets clean merged names.
- 2b: buildPlayerStripsFromProps dedupes a player's props by stat (graded >
awaiting) → one row per stat (kills "Ks 5.5 AND Ks 3.5" variant dupes).
- 2c: scan tonightsPlayers grid groups by nameKey, displays normalized name.
- 3: profile VYNDR INTELLIGENCE "+0%"/"—" was buildIntel's defaults (separate
from the grade card's buildIntelFields, which already works). resolvePlayerStats
now attaches real usage (AB/G) + rest (B2B/Xd); buildIntel renders them; REST
default is now "—".
Backend 2149 -> 2156 tests (+7), 181 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Name normalization completed: NICKNAMES table (Matt↔Matthew, Mike↔Michael...)
resolved in nameKey, parenthetical team-tag strip "(STL)", verified accent-fold
(Iván/Ivan, José/Jose). Slate strip now DISPLAYS the normalized de-dotted name
("AJ Ewing" not "A.J. Ewing") via buildPlayerStripsFromProps.
- Complete MLB VYNDR INTELLIGENCE: mlbGameLogFeatures derives rest_days (days off
between latest games; 0=B2B) + ab_per_game (usage). buildIntelFields renders
usage as "X AB/G", rest as B2B/Xd, matchup from bvp_advantage fallback.
- Ticker SCAN dedup: pushTickerItems keeps one SCAN per sport (sport field or
text-prefix parse for legacy); MOVE/GRADE preserved; cap 50.
- BOMBER threshold prorated for mid-season (hr>=15 strong / >=10 mod) so June
sluggers classify BOMBER not FLEX/DRIVER.
Backend 2122 -> 2149 tests (+27), 179 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Three focused P1 fixes on the Session-45 snapshot model.
- Grade card intel ROOT CAUSE: gameLogService is NBA/WNBA-only (offline Python),
so MLB props never got l5_avg/l20_avg and buildIntelFields returned {}. Wired
MLB game logs into featureCache.gameLogFeatures via mlbStatsAdapter.getPlayerStats
(pure mlbGameLogFeatures + MLB stat_type->field map). buildIntelFields gained
playerStats/projection fallbacks for partial intel.
- Player name normalization: src/utils/playerName.js (+ web/src/lib copy):
normalizeName -> {display,key}. Strips periods, de-dots suffix, accent-folds
the key. Applied in snapshotService grouping, slateAdapter grade index +
player-strip merge (variants collapse, longest name shown), and
playerIntelService. "A.J. Ewing"/"AJ Ewing" + "Jazz Chisholm"/"Jr." now merge.
- MLB starting pitchers: new GET /api/schedule/:sport/pitchers (probablePitchers
service wrapping mlbStatsAdapter.getScheduleWithPitchers + best-effort ERA).
Slate fetches it, builds a team->pitcher map (full name + mascot match),
attaches pitchers to MLB GameCardData. + Next proxy.
Backend 2100 -> 2122 tests (+22), 176 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The on-demand "Read" grade model is RETIRED. A scheduled pipeline pre-grades the
slate, locks grades to the line, tracks movement; the dashboard shows them already
there. Orchestrates existing services — nothing rebuilt.
- snapshotService.runSnapshot(sport): getOdds → gradeAndCacheSlate → classify
archetype per player → lock gradedAt → line deltas vs previous snapshot → write
snapshot:{sport}:latest/previous + grades:{sport} → ticker events. Fully
injectable, zero-network unit tests. runAllSnapshots = cron entrypoint.
- Internal trigger POST /api/internal/snapshot/:sport + /all (requireInternalAuth).
In-process cron (SNAPSHOT_CRON=1, UTC 14,19,22,1,3) in server.js, no new dep.
- Public reads: GET /api/snapshot/:sport (cache-only) + GET /api/ticker (merges
TICKER_MANUAL pins) + Next proxies.
- GameCard swap: live Slate renders vyndr/GameCard (legacy kept for types only),
overlays locked grades onto game props → player name once + archetype badge +
"Graded Xh ago at -115 · Current 2.5 · ▲ TOWARD +1.0". Ungraded → "Awaiting next
scan", NO Read button. On-demand onGrade flow deleted.
- Ticker polls /api/ticker every 30s, graceful fallback to hardcoded items.
- NBA/WNBA: espnStatsAdapter free fallback (defensive parse → found:false on shape
mismatch) wired into resolvePlayerStats after the offline Python service.
Env: PROPLINE_API_KEY_1/2/3, VYNDR_INTERNAL_KEY, SNAPSHOT_CRON=1, TICKER_MANUAL.
Backend 2061 -> 2100 tests (+39), 173 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
P0 fixes + wiring real data into the S42 Player Intelligence architecture.
- P0 dropdown z-index: the nav's backdrop-filter stacking context let the
Ticker/HeartbeatBar paint over the avatar/More dropdowns and eat clicks.
nav now position:relative zIndex:2; menus zIndex:100. Avatar Settings ->
/settings.
- Real MLB stats: mlbStatsAdapter.searchPlayer + getPlayerStats (name->id->
season+gamelog). playerIntelService.resolvePlayerStats normalizes into the
archetype classifier; getPlayerIntel returns found:true + real season +
archetype classified from real stats. NBA via nbaStatsClient (degrades).
- Game cards: slateAdapter.groupPropsByPlayer (playerStrips, name once) +
mapPitchers (MLB probables), folded into mapScheduleToGameCards. Legacy
GameCard line grid renders BookChip (brand colors) not grey text.
- Grade card intel: analyzeViaEngine1.buildIntelFields computes stat-context +
form/usage/matchup/rest from the existing feature vector (zero extra I/O);
gradeAdapter lights up the card sections. Archetype deferred (needs season
line at grade time).
- Depth chart foundation: depthChartService (getLineup/getDepthChart/
getCascadeProjection) + /api/stats/lineup|depth|cascade, graceful + injectable.
- Mobile: player hero name overflow-wrap + 24px on <=640px (was clipping).
Backend 2011 -> 2045 tests (+34), 163 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- gradeSlateService writes grades:{sport} cache (closes content pipeline →
dataLevel full); fire-and-forget from oddsService.recordDownstream, gated
by shouldGradeSlate (off in test, GRADE_SLATE_ON_FETCH override)
- NFL/NHL wired: oddsService SPORT_KEYS/SPORT_MARKETS (correct the-odds-api
keys americanfootball_nfl/icehockey_nhl), proplineAdapter MARKETS, NHL
MARKET_MAP keys to avoid silent-zero
- rate limiting mounted on 8 public cached routers (odds/parlay 30/min,
rest 60/min)
- jsonlLogger writes to temp under test (no more dirtied tracked artifact);
5MB pipeline test given 20s timeout
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Add NFL keys to oddsNormalizer.MARKET_MAP (defensive; same silent-zero
class as the Session 30 MLB bug) + NFL surface test
- npm audit fix: ws/qs + Supabase transitives, 7 vulns -> 0 (semver-safe)
- Audit findings documented in BUILD-STATE: grades cache has no writer,
NFL/NHL not wired end-to-end, rate limiting only on /analyze, tests
mutate a tracked jsonl, leaked GitHub PAT in origin remote (rotate)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Subscription billing:
- POST /api/stripe/checkout — creates Stripe Checkout session
- POST /api/stripe/webhook — handles lifecycle events (raw body)
- POST /api/stripe/portal — customer self-service management
- GET /api/stripe/status — current subscription info
Founder code system:
- Validates codes against env var list with expiry date
- Routes to founder Stripe Price IDs (locked rate for life)
- 4 price objects: analyst, analyst-founder, desk, desk-founder
Webhook events handled:
- checkout.session.completed → tier update + founder status
- customer.subscription.deleted → revert to free tier
- invoice.payment_failed → logged
Lazy Stripe init (no API key required at import time).
Raw body middleware for webhook signature verification.
16 new tests, 237 total (210 Node.js + 27 Python), all passing.
Phase 3 Web MVP COMPLETE. All roadmap features shipped.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Three submission methods:
- POST /api/bets/quickslip — structured bet entry
- POST /api/bets/screenshot — stub OCR with confirm flow
- POST /api/bets/sync — coming soon stub
Full bet lifecycle:
- PATCH /api/bets/:id/settle — settle with outcome, recalculates performance
- GET /api/bets — list with status/book/pagination filters
- GET /api/bets/performance — ROI, win rate, profit (weekly/monthly/all_time)
Payout calculator handles straight bets (American odds) and parlays
(multiplied leg payouts). Performance service recalculates on each
settlement and upserts into performance table.
33 new tests, 221 total (194 Node.js + 27 Python), all passing.
All backend features for Phase 1 + Phase 2 now complete.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Line movement system:
- Baseline capture on first odds fetch of the day
- Movement detection >= 0.5 points with direction (up/down)
- Sharp money heuristic (sharp_action/public_action/unknown)
- GET /api/movements with player, stat_type, min_movement filters
- Movements included in GET /api/odds/nba live responses
Cascade detection system:
- Scratch detection: player props disappear from 2+ books
- Affected user lookup via scan_sessions + picks
- Parlay re-grade without scratched legs
- cascade_alerts created for affected users
- GET /api/alerts (Analyst/Desk only), PATCH /api/alerts/:id/read
Zero extra Odds API credits — all detection piggybacks on existing fetches.
Migration 002: line_baselines, line_movements, cascade_alerts tables.
30 new tests, 188 total (161 Node.js + 27 Python), all passing.
Phase 2 Core Product COMPLETE.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Core intelligence for BetonBLK prop analysis:
- POST /api/analyze/prop — single prop analysis
- POST /api/analyze/batch — multi-prop analysis for parlay scanner
- 6-step pipeline: season avg → recent form → situational splits →
cross-book lines → kill conditions → grade (A/B/C/D)
- 6 kill conditions: low_minutes, small_sample, b2b_high_usage,
blowout_risk, split_conflict, no_opponent_data
- Composite scoring with confidence (30-95), bonuses, penalties
- Added spreads market to Odds API fetch (zero extra credits)
- Full reasoning output with step-by-step breakdown
36 new tests (unit + integration), 128 total across all features
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
builtbykev