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671979b07d7e29681197c760b5deac2e97593c83
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34 Commits

Author SHA1 Message Date
fahricansecer 671979b07d gg2
Deploy Iddaai Backend / build-and-deploy (push) Successful in 35s
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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
Deploy Iddaai Backend / build-and-deploy (push) Successful in 4m53s
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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 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 9481ad7094 changes
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2026-05-20 10:10:28 +03:00
fahricansecer 94c7a4481a main
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2026-05-17 02:17:22 +03:00
fahricansecer b6d64b59bf main
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2026-05-12 02:43:02 +03:00
fahricansecer f8599bdb9a gg
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2026-05-11 23:11:41 +03:00
fahricansecer 4dcc4ced50 gg
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2026-05-11 20:50:31 +03:00
fahricansecer f3362f266c gg 2026-05-10 22:52:05 +03:00
fahricansecer c525b12dfd gg 2026-05-10 10:37:45 +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
Deploy Iddaai Backend / build-and-deploy (push) Successful in 6s
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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)
Deploy Iddaai Backend / build-and-deploy (push) Successful in 6s
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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 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
Deploy Iddaai Backend / build-and-deploy (push) Successful in 6s
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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 27e96da31d main
Deploy Iddaai Backend / build-and-deploy (push) Successful in 29s
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2026-05-04 18:00:40 +03:00
fahricansecer 9027cc9900 v28
Deploy Iddaai Backend / build-and-deploy (push) Successful in 3m21s
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2026-04-24 23:46:28 +03:00
fahricansecer b5c2edf346 gg 2026-04-24 01:15:05 +03:00
fahricansecer 1f26a5bf2f fix: update version tags to v28 and temporarily disable cache for predictions 2026-04-24 00:11:00 +03:00
fahricansecer 634204acf0 v28 2026-04-23 22:22:59 +03:00
fahricansecer df428ed1e8 gg 2026-04-22 02:17:02 +03:00
fahricansecer 2ccd6831eb gg 2026-04-21 16:53:56 +03:00
fahricansecer 2f0b85a0c7 first (part 2: other directories)
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2026-04-16 15:11:25 +03:00