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fahricansecer c3e44ee697 gg65
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2026-06-07 22:50:33 +03:00
fahricansecer 42b6c7ce43 Update data-fetcher.task.ts
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2026-06-07 21:28:52 +03:00
fahricansecer 7b17aa1fee gg2
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2026-06-07 15:59:41 +03:00
fahricansecer c338aba1c0 gg4
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2026-06-07 15:17:08 +03:00
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2026-06-06 14:08:30 +03:00
fahricansecer 9e41407cb5 gg3
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2026-06-05 00:36:24 +03:00
fahricansecer b9700f9fda national
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2026-06-02 13:20:45 +03:00
fahricansecer 033a29c79c Update qualified_leagues.json
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2026-06-02 12:07:13 +03:00
fahricansecer 4e563e996e vv
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2026-06-02 03:37:00 +03:00
fahricansecer 671979b07d gg2
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2026-05-29 13:35:17 +03:00
fahricansecer b5cb412236 gg
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2026-05-29 11:59:51 +03:00
fahricansecer 659110c806 Update handoff doc + add backtest checkpoint/resume
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2026-05-25 22:29:05 +03:00
fahricansecer 988ee2f50d Add backtest pipeline, betting_brain filters, score coherence + social v3 
betting_brain.py:
- HARD_MIN_SAMPLES=50 floor for calibrator bypass
- ev_edge < 0 + >= 0.20 hard vetoes
- BTTS muted (grid search found no profitable config)
- Per-market optimal envelopes (MS, OU25)
- Score coherence filter: main_pick must agree with score prediction
- HTFT reversal cross-check for MS picks

feature_builder.py / data_loader.py:
- Real home/away_position from data (was hardcoded 10)
- Cup detection wired into UpsetEngine
- _estimate_league_position with 300-day season filter

New scripts:
- diagnostic_backtest.py: per-bet diagnostic backtest with loss patterns
- optimize_filters.py: grid search per-market optimal thresholds
- analyze_backtest_csv.py: root-cause hypothesis testing on CSV
- compare_backtests.py: side-by-side validation with verdict
- test_score_coherence.py: smoke test for coherence filter (20/20 pass)

Reports:
- diagnostic_backtest_20260525_024437 (50-match smoke)
- diagnostic_backtest_20260525_035649 (1000-match in-sample)
- filter_optimization_patch.json (grid search winners per market)

Social poster v3:
- satori + resvg HTML/CSS rendering pipeline
- Twemoji football/basketball + flag SVGs
- caption SEO: 12 curated hashtags per post
- image SEO: descriptive filenames + .json metadata sidecar
- /health, /preview-png, /run-now endpoints

Docs:
- mds/SESSION_HANDOFF.md: full session state for cross-machine continuity
- mds/SOCIAL_POSTER_SETUP.md: API keys + test commands

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
 2026-05-25 20:43:28 +03:00
fahricansecer b619c2454a gg3
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2026-05-25 02:19:12 +03:00
fahricansecer fa48f87f53 gg2
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2026-05-24 17:29:31 +03:00
fahricansecer 920ae7ce38 gg
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2026-05-24 02:58:53 +03:00
fahricansecer 02f9aea333 gg
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2026-05-24 02:49:08 +03:00
fahricansecer 15c6313246 Merge branch 'main' of https://gitea.bilgich.com/fahricansecer/iddaai-be
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2026-05-24 02:44:52 +03:00
fahricansecer 1b420a425e Update .gitignore 2026-05-24 02:43:10 +03:00
fahricansecer 55e62d8fe5 .gitea/workflows/deploy.yml Güncelle
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2026-05-24 02:30:14 +03:00
fahricansecer 21e05148c8 feat: league tier system + retrained V25 models (48 quality leagues)
Deploy Iddaai Backend / build-and-deploy (push) Failing after 3m56s
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- 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>
 2026-05-20 21:57:15 +03:00
fahricansecer e001ce9ab5 fix: guarantee iddaai-ai-engine network alias on every deploy
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2026-05-20 10:40:00 +03:00
fahricansecer 9481ad7094 changes
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2026-05-20 10:10:28 +03:00
fahricansecer 1d4aa36602 gg
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2026-05-18 00:08:50 +03:00
fahricansecer 5574a3c59d feat: separate commentary endpoint - non-blocking Ollama
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2026-05-17 16:47:05 +03:00
fahricansecer 94c7a4481a main
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2026-05-17 02:17:22 +03:00
fahricansecer 17ace9bd12 feat: Ollama AI expert commentary integration
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- OllamaClient utility for llama3.2:3b API calls (timeout 30s, non-fatal)
- OllamaCommentary service builds structured Turkish prompt from prediction data
- PredictionsService enriches response with ai_expert_commentary field
- Frontend prediction-card displays AI commentary section above match_commentary
 2026-05-17 02:09:04 +03:00
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2026-05-13 16:56:14 +03:00
fahricansecer 2507678bc0 gg
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2026-05-12 17:41:49 +03:00
fahricansecer 2b8dce665f gg
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2026-05-12 03:06:54 +03:00
fahricansecer b6d64b59bf main
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2026-05-12 02:43:02 +03:00
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2026-05-11 23:11:41 +03:00
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2026-05-11 20:50:31 +03:00
fahricansecer 70fdc066c7 Merge branch 'v28'
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2026-05-10 22:52:21 +03:00
fahricansecer f3362f266c gg 2026-05-10 22:52:05 +03:00
fahricansecer 8ce8fa5b94 Merge pull request 'gg' (#6) from v28 into main
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Reviewed-on: #6
 2026-05-10 10:39:32 +03:00
fahricansecer c525b12dfd gg 2026-05-10 10:37:45 +03:00
fahricansecer 497b5d8d3b Merge pull request 'feat(ai-engine): value sniper thresholds and logic relaxed' (#5) from v28 into main
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Reviewed-on: #5
 2026-05-06 17:56:24 +03:00
fahricansecer 4f7090e2d9 feat(ai-engine): value sniper thresholds and logic relaxed 2026-05-06 17:44:45 +03:00
fahricansecer 5b5f83c8cf fix(ai-engine): remove target leakage from training data extraction
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- goals_form now uses avg of last 5 historical matches instead of current match goals
- squad_quality removes current match goals/assists, uses only pre-match known data
- adds temporal filtering via match_id -> mst_utc mapping
 2026-05-05 22:35:04 +03:00
fahricansecer bfddcaca7d gg
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2026-05-05 21:27:06 +03:00
fahricansecer 56d560af08 Update single_match_orchestrator.py
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2026-05-05 20:59:59 +03:00
fahricansecer 4bc51cfa99 fix(ai-engine): hoist ms_edge before score prediction branch to prevent UnboundLocalError
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2026-05-05 20:34:14 +03:00
fahricansecer fdb8a5d0f0 fix(ai-engine): sync FEATURE_COLS with trained models (82→102 features)
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- Load feature columns dynamically from feature_cols.json
- Add 20 missing odds_*_present boolean flags to fallback list
- Fixes LightGBM 'features in data (82) != training data (102)' crash
 2026-05-05 20:29:55 +03:00
fahricansecer 22596e69f2 fix(predictions): circuit breaker resilience + graceful degradation
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- Reset consecutiveFailures on cooldown expiry (half-open state)
  so a single retry failure doesn't immediately re-open the circuit
- Exclude AI Engine app-level 500s from circuit breaker count
  (only network/infra errors: timeout, 502, 503, 504, 429)
- Return null gracefully instead of throwing 503 when no cache exists
- Add DB fallback for non-cooldown AI Engine failures
- Remove blocking wait-and-retry that held requests for up to 20s
 2026-05-05 20:19:25 +03:00
fahricansecer f32badbd8f fix(predictions): cooldown fallback cascade + circuit breaker tuning
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- Add 4-level fallback when AI circuit breaker fires cooldown:
  1) In-memory cache (10min TTL)
  2) DB stored prediction (no TTL filter)
  3) DB cached prediction (with model version check)
  4) Wait out cooldown + retry once (max 20s wait)
- Raise circuit breaker threshold from 3 to 5 consecutive failures
- Reduce cooldown duration from 30s to 15s for faster recovery
- Add extractCooldownMs helper to parse remaining ms from error detail
 2026-05-05 20:11:19 +03:00
fahricansecer 5645b38f20 main
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2026-05-05 17:09:11 +03:00
fahricansecer 244d8f5366 feat(ai): expand training to 68K+ matches, add score model, backfill implied odds
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- extract_training_data.py: switch from top_leagues.json (23) to qualified_leagues.json (265)
- update_implied_odds.py: new script to backfill implied odds from real market data
- train_score_model.py: rewrite with v25 102-feature set + temporal split
- single_match_orchestrator.py: integrate ML score model with heuristic fallback
 2026-05-05 16:04:00 +03:00
fahricansecer 9bb8f39bca gg
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2026-05-05 14:06:20 +03:00
fahricansecer 7a1cf14e2f Update matches.service.ts
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2026-05-05 10:47:00 +03:00