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e23172f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 | """Comprehensive feature engineering from existing FormFav data."""
from __future__ import annotations
import json
from pathlib import Path
from typing import Optional
from trifecta_bro.data.models import RunnerModel, RaceModel
def extract_features(runner: RunnerModel, race: RaceModel) -> dict:
"""Extract all possible features from runner data for ML model."""
features = {}
# Basic features
features['number'] = runner.number
features['barrier'] = runner.barrier or 0
features['weight'] = runner.weight or 57.0
features['age'] = runner.age or 4
# Sex encoding
sex = (runner.sex or '').lower()
features['is_gelding'] = 1 if 'gelding' in sex else 0
features['is_mare'] = 1 if 'mare' in sex else 0
features['is_filly'] = 1 if 'filly' in sex else 0
features['is_colt'] = 1 if 'colt' in sex else 0
# Career stats
overall = runner.stats.get('overall', {})
features['career_starts'] = overall.get('starts', 0) or 0
features['career_wins'] = overall.get('wins', 0) or 0
features['career_places'] = overall.get('places', 0) or 0
features['career_win_pct'] = overall.get('winPercent', 0) or 0
features['career_place_pct'] = overall.get('placePercent', 0) or 0
# Track stats
track = runner.stats.get('track', {})
features['track_starts'] = track.get('starts', 0) or 0
features['track_wins'] = track.get('wins', 0) or 0
features['track_win_pct'] = track.get('winPercent', 0) or 0
features['track_place_pct'] = track.get('placePercent', 0) or 0
# Distance stats
distance = runner.stats.get('distance', {})
features['distance_starts'] = distance.get('starts', 0) or 0
features['distance_wins'] = distance.get('wins', 0) or 0
features['distance_win_pct'] = distance.get('winPercent', 0) or 0
features['distance_place_pct'] = distance.get('placePercent', 0) or 0
# Track + Distance combo
track_dist = runner.stats.get('trackDistance', {})
features['track_distance_starts'] = track_dist.get('starts', 0) or 0
features['track_distance_wins'] = track_dist.get('wins', 0) or 0
features['track_distance_win_pct'] = track_dist.get('winPercent', 0) or 0
features['track_distance_place_pct'] = track_dist.get('placePercent', 0) or 0
# Condition stats (match by race condition)
cond = (race.condition or '').lower()
cond_stats = runner.stats.get('conditions', {})
cond_key = None
for key in cond_stats:
if cond and cond[:4] in key.lower():
cond_key = key
break
if cond_key:
cs = cond_stats[cond_key]
features['cond_starts'] = cs.get('starts', 0) or 0
features['cond_wins'] = cs.get('wins', 0) or 0
features['cond_win_pct'] = cs.get('winPercent', 0) or 0
features['cond_place_pct'] = cs.get('placePercent', 0) or 0
else:
features['cond_starts'] = 0
features['cond_wins'] = 0
features['cond_win_pct'] = 0
features['cond_place_pct'] = 0
# First-up / Second-up stats
first_up = runner.stats.get('firstUp', {})
second_up = runner.stats.get('secondUp', {})
features['first_up_starts'] = first_up.get('starts', 0) or 0
features['first_up_wins'] = first_up.get('wins', 0) or 0
features['first_up_win_pct'] = first_up.get('winPercent', 0) or 0
features['second_up_starts'] = second_up.get('starts', 0) or 0
features['second_up_wins'] = second_up.get('wins', 0) or 0
features['second_up_win_pct'] = second_up.get('winPercent', 0) or 0
# Form analysis
form = runner.form or ''
features['form_length'] = len(form)
# Recent form (last 5)
recent = form[-5:] if len(form) >= 5 else form
features['recent_wins'] = sum(1 for c in recent if c == '1')
features['recent_places'] = sum(1 for c in recent if c in ['1', '2', '3'])
features['recent_win_pct'] = features['recent_wins'] / len(recent) if recent else 0
features['recent_place_pct'] = features['recent_places'] / len(recent) if recent else 0
# Very recent (last 3)
very_recent = form[-3:] if len(form) >= 3 else form
features['very_recent_wins'] = sum(1 for c in very_recent if c == '1')
features['very_recent_win_pct'] = features['very_recent_wins'] / len(very_recent) if very_recent else 0
# Last start result
features['last_start_pos'] = _parse_last_position(form[-1]) if form else 0
# Career prize money
prize = runner.career_prize_money
if prize:
try:
features['career_prize'] = float(str(prize).replace('$', '').replace(',', ''))
except:
features['career_prize'] = 0
else:
features['career_prize'] = 0
# Prize money per start
features['prize_per_start'] = features['career_prize'] / features['career_starts'] if features['career_starts'] > 0 else 0
# Race features
features['num_runners'] = race.number_of_runners or 10
# Distance in metres
distance_str = race.distance or '1200m'
try:
features['distance_metres'] = int(''.join(filter(str.isdigit, str(distance_str))))
except:
features['distance_metres'] = 1200
# Barrier advantage (relative to field)
features['barrier_central'] = abs(features['barrier'] - features['num_runners'] / 2)
# Weight relative to field
features['weight_relative'] = features['weight'] - 57.0 # 57kg is average
return features
def _parse_last_position(char: str) -> int:
"""Parse a form character to a finishing position."""
if char == '1':
return 1
elif char == '2':
return 2
elif char == '3':
return 3
elif char == '4':
return 4
elif char == '5':
return 5
elif char == '6':
return 6
elif char == '7':
return 7
elif char == '8':
return 8
elif char == '9':
return 9
elif char == '0':
return 10 # spell
elif char in ['x', 'X']:
return 0 # spell
elif char in ['f', 'F']:
return 0 # fell
elif char in ['p', 'P']:
return 0 # pulled up
else:
return 0
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