fahricansecer
21e05148c8
Deploy Iddaai Backend / build-and-deploy (push) Failing after 3m56s
- Add LeagueTier DB model and Prisma schema - Add league-tiers service (CRUD, sync, retrain trigger) - Add league-tiers controller with admin API endpoints - Add /v1/admin/retrain endpoint in AI engine (extract→train→reload pipeline) - Retrain V25 Pro with 48 quality leagues (MS accuracy: 26.9%→51.4%) - Update qualified_leagues.json (443→48 leagues) - Include V25 model files in repo for Docker deployment Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
112 lines
4.4 KiB
Markdown
112 lines
4.4 KiB
Markdown
# Changelog - 2026-05-20
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Bu dokuman, 20 Mayis 2026 tarihinde yapilan **League Tier Sistemi** calismasini ozetler. Amac: model egitiminde kullanilan ligleri kalite bazli filtreleyerek tahmin dogrulugunu artirmak.
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## 1. Problem Analizi
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- Model 443 lig ile egitiliyordu (DB'de toplam 1142 lig).
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- Dusuk kaliteli ligler (zayif bahis pazari, eksik veri) modelin sinyalini bozuyordu.
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- Mevcut performans: **MS %26.9** (rastgeleden kotu), **OU2.5 %57.7**, **BTTS %53.8**
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- Model hic "X" (draw) tahmini yapmiyordu — agir home bias vardi.
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- 19 gercek bahisten 5 kazanc, 14 kayip = **%26.3 win rate, -9.68 unit**
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## 2. Cozum: League Tier Sistemi
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Bookmaker margin (overround) analizine dayanarak 48 kaliteli lig secildi:
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| Tier | Isim | Lig Sayisi | Kriter |
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|------|------|-----------|--------|
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| 1 | Elmas | 10 | En iyi veri kalitesi, en dusuk margin (Premier League, La Liga, Serie A vb.) |
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| 2 | Altin | 20 | Iyi veri kalitesi (Eredivisie, Ligue 2, Championship vb.) |
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| 3 | Gumus | 18 | Kabul edilebilir veri (Ekstraklasa, MLS, Liga MX vb.) |
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## 3. Veritabani Degisiklikleri
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### Yeni tablo: `league_tiers`
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```sql
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CREATE TABLE league_tiers (
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id SERIAL PRIMARY KEY,
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league_id TEXT NOT NULL UNIQUE REFERENCES leagues(id) ON DELETE CASCADE,
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tier INT NOT NULL DEFAULT 1,
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is_active BOOLEAN NOT NULL DEFAULT TRUE,
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added_by TEXT,
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notes TEXT,
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created_at TIMESTAMPTZ DEFAULT NOW(),
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updated_at TIMESTAMPTZ DEFAULT NOW()
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);
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CREATE INDEX idx_league_tiers_tier_active ON league_tiers(tier, is_active);
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```
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### Prisma schema guncellendi
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- `LeagueTier` modeli eklendi (`prisma/schema.prisma`)
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- `League` modeline `leagueTier LeagueTier?` iliskisi eklendi
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- Not: Migration shadow DB hatasi nedeniyle tablo dogrudan SQL ile olusturuldu
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## 4. Backend Degisiklikleri
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### Yeni dosyalar
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**`src/modules/leagues/league-tiers.service.ts`**
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- `findAll()` — tum tier'lari listele
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- `findActive()` — aktif tier'lari listele
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- `findByTier(tier)` — belirli tier'daki ligler
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- `addLeague(leagueId, tier, notes, addedBy)` — lig ekle/guncelle (upsert), otomatik JSON sync + retrain tetikle
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- `removeLeague(leagueId)` — ligi pasif yap (soft delete), JSON sync
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- `updateTier(leagueId, tier)` — tier seviyesi degistir
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- `deleteLeague(leagueId)` — kalici sil
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- `syncQualifiedLeagues()` — DB'den `qualified_leagues.json` dosyasini guncelle
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- `triggerModelRetrain()` — AI engine'e POST `/v1/admin/retrain`
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- `getStats()` — tier istatistikleri + toplam qualified match sayisi
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**`src/modules/leagues/league-tiers.controller.ts`**
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- `GET /admin/league-tiers` — listele (`?active=true` filtreli)
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- `GET /admin/league-tiers/stats` — istatistikler
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- `GET /admin/league-tiers/tier/:tier` — tier bazli filtre
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- `POST /admin/league-tiers` — lig ekle (body: `{ leagueId, tier?, notes?, addedBy? }`)
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- `PUT /admin/league-tiers/:leagueId/tier` — tier guncelle
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- `PUT /admin/league-tiers/:leagueId/deactivate` — pasif yap
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- `DELETE /admin/league-tiers/:leagueId` — kalici sil
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- `POST /admin/league-tiers/sync` — JSON sync tetikle
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- `POST /admin/league-tiers/retrain` — model retrain tetikle
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- Tum endpointler `@Roles("superadmin")` ile korumali
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### Guncellenen dosyalar
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**`src/modules/leagues/leagues.module.ts`**
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- `HttpModule` import eklendi (retrain HTTP cagirisi icin)
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- `LeagueTiersController` ve `LeagueTiersService` register edildi
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## 5. qualified_leagues.json Sync
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- Onceki durum: **443 lig**
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- Yeni durum: **48 lig** (DB'deki aktif tier'lardan)
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- `data-fetcher.task.ts` zaten bu dosyayi okuyor — yeni mac verisi sadece 48 lig icin cekilecek
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- `extract_training_data.py` zaten bu dosyayi okuyor — egitim verisi sadece 48 ligden gelecek
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## 6. Mevcut Veri Akisi
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```
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Admin Panel (lig ekle/cikar)
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v
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LeagueTiersService.addLeague() / removeLeague()
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+---> DB guncelle (league_tiers tablosu)
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+---> syncQualifiedLeagues() ---> qualified_leagues.json guncelle
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+---> triggerModelRetrain() ---> AI Engine POST /v1/admin/retrain
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Data Fetcher (cron):
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qualified_leagues.json ---> sadece bu liglerden live_matches cek
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Training Pipeline:
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qualified_leagues.json ---> sadece bu liglerden training_data extract et
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```
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## 7. Yapilacaklar
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- [ ] AI engine'de `/v1/admin/retrain` endpoint olustur (Python tarafi)
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- [ ] Modeli yeni 48 lig dataseti ile yeniden egit
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- [ ] Admin panel frontend'inde league tier yonetim UI'i
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- [ ] Draw blindness sorununu arastir (model hic X tahmini yapmiyor)
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- [ ] Prisma migration gecmisini duzelt (manual SQL → migration align)
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