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添加python脚本

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liwq
2026-01-22 18:02:21 +08:00
parent d324e370db
commit 9c2153b05b
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PyModel/batch_predict_betting_v7.py Normal file
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import json
import os
import sys
from datetime import datetime, timedelta
current_dir = os.path.dirname(os.path.abspath(__file__))
# 如果当前目录不在sys.path中，就添加进去（避免重复添加）
if current_dir not in sys.path:
sys.path.append(current_dir)
from predict_model_v6 import LotteryPredictorV6
SUM12_ODDS = {
3: 41.9, 4: 41.9, 18: 41.9, 19: 41.9,
5: 20.38, 6: 20.38, 16: 20.38, 17: 20.38,
7: 13.51, 8: 13.51, 14: 13.51, 15: 13.51,
9: 9.7, 10: 9.7, 12: 9.7, 13: 9.7,
11: 8.1
}
# 玩法1.1 赔率映射
SIZE_ODDS = {"冠亚大": 2.1, "冠亚小": 1.7}
ODD_EVEN_ODDS = {"冠亚单": 1.7, "冠亚双": 2.1}
NUM_DETAIL_ODDS = 1.9199 * 20
# NUM_DETAIL_ODDS = {"大": 1.9199, "小": 1.9199, "单": 1.9199, "双": 1.9199}
# 玩法2.1/2.2/3 固定赔率
RANK_GLH_ODDS = 1.9199 * 10 # 玩法2.2
NUM_POS_ODDS = 9.599 * 10 # 玩法3
# 总赔率
TOTAL_ODDS = 0
SUM12_ODDS_TOTAL = sum(SUM12_ODDS.values())
SIZE_ODDS_TOTAL = sum(SIZE_ODDS.values())
ODD_EVEN_ODDS_TOTAL = sum(ODD_EVEN_ODDS.values())
TOTAL_ODDS += SUM12_ODDS_TOTAL + SIZE_ODDS_TOTAL + ODD_EVEN_ODDS_TOTAL
TOTAL_ODDS += round(NUM_DETAIL_ODDS + RANK_GLH_ODDS + NUM_POS_ODDS, 4)
# TOTAL_ODDS += round(NUM_DETAIL_ODDS * 20 + RANK_GLH_ODDS * 10 + NUM_POS_ODDS * 10, 4)
EMPTY_TIME_WINDOWS = [
"06:05:00", "06:10:00", "06:15:00", "06:20:00", "06:25:00", "06:30:00", "06:35:00", "06:40:00", "06:45:00",
"06:50:00", "06:55:00", "07:00:00",
]
print(f"总赔率: {TOTAL_ODDS}")
# 生成预测数据
def generate_time_series(start_str, end_str):
start = datetime.strptime(start_str, '%Y-%m-%d %H:%M:%S')
end = datetime.strptime(end_str, '%Y-%m-%d %H:%M:%S')
current = start
series = []
while current <= end:
series.append(current)
current += timedelta(minutes=5)
return series
def main():
predictor = LotteryPredictorV6('data_test_predict/aggregated_stats_v7.json')
with open("full_history_time_performance.json", "r", encoding="utf-8") as f:
time_windows = json.load(f)
# start_time = "2025-01-01 07:05:00"
# end_time = "2026-01-19 06:00:00"
start_time = "2026-01-20 07:05:00"
end_time = "2026-01-21 06:00:00"
time_series = generate_time_series(start_time, end_time)
total_budget = 20.0
results = []
for dt in time_series:
date_str = dt.strftime('%Y-%m-%d')
time_str = dt.strftime('%H:%M:%S')
raw = predictor.predict(date_str, time_str)
# 收集所有潜在押注项及其原始概率
candidates = [] # (type, pos/key, sub_key, prob)
# 1. Result (数字位置) - 每个位置选 Top 3, 门槛 0.11
for i in range(10):
# if time_str not in EMPTY_TIME_WINDOWS and time_windows["accuracy"][time_str] < 0.6248:
# break
pos_key = f'pos_{i}'
probs = raw['digital_pos'][pos_key]
sorted_p = sorted(probs.items(), key=lambda x: x[1], reverse=True)
for val, p in sorted_p[:5]:
if p >= 0.1055:
# if p >= 0.1055:
candidates.append(('result', i, val, p))
# 2. Result Detail (单双大小) - 互斥, 门槛 0.53
for i in range(10):
pos_key = f'pos_{i}'
for cat in ['big_small', 'odd_even']:
probs = raw['pos_detail'][pos_key][cat]
sorted_p = sorted(probs.items(), key=lambda x: x[1], reverse=True)
best_opt, best_p = sorted_p[0]
if best_p >= 0.53068:
candidates.append(('result_detail', i, best_opt, best_p))
# 3. Winner - 门槛 0.08
for val, p in raw['winner_prob'].items():
if p >= 0.08582:
candidates.append(('winner', None, val, p))
# 4. GD1 & GD2 - 互斥, 门槛 0.53
for cat in ['direct_gd1', 'direct_gd2']:
probs = raw[cat]
sorted_p = sorted(probs.items(), key=lambda x: x[1], reverse=True)
best_opt, best_p = sorted_p[0]
if best_p >= 0.53068:
candidates.append(('gd', cat, best_opt, best_p))
# 5. GLH (龙虎) - 进取型, 无门槛 (取优势方)
for i in range(5):
pos_key = f'pos_{i}'
probs = raw['glh_pos'][pos_key]
sorted_p = sorted(probs.items(), key=lambda x: x[1], reverse=True)
best_opt, best_p = sorted_p[0]
if best_p >= 0.53068:
candidates.append(('glh', i, best_opt, best_p))
# 动态资金分配: 金额 = (概率 / 总概率和) * 500
total_prob_sum = sum(c[3] for c in candidates)
entry = {
"id": dt.strftime('%Y%m%d%H%M'),
"time": dt.strftime('%Y-%m-%d %H:%M:%S'),
"result": {i: {str(n): None for n in range(1, 11)} for i in range(10)},
"result_detail": {i: {"单": None, "双": None, "大": None, "小": None} for i in range(10)},
"winner": {},
"GD1": {"冠亚大": None, "冠亚小": None},
"GD2": {"冠亚单": None, "冠亚双": None},
"GLH_result": {}
}
if total_prob_sum > 0:
for c_type, key, sub_key, prob in candidates:
# bet_amount = round((prob / total_prob_sum) * total_budget, 2)
if c_type == 'result':
# entry['result'][key][sub_key] = 10
entry['result'][key][sub_key] = round((NUM_POS_ODDS / TOTAL_ODDS) * total_budget, 2)
elif c_type == 'result_detail':
entry['result_detail'][key][sub_key] = round((NUM_DETAIL_ODDS / TOTAL_ODDS) * total_budget, 2)
elif c_type == 'winner':
entry['winner'][sub_key] = round((SUM12_ODDS[int(sub_key)] / TOTAL_ODDS) * total_budget, 2)
elif c_type == 'gd':
# key is 'direct_gd1' or 'direct_gd2'
field = 'GD1' if key == 'direct_gd1' else 'GD2'
_odd = SIZE_ODDS_TOTAL if key == 'direct_gd1' else ODD_EVEN_ODDS_TOTAL
entry[field][sub_key] = round((_odd / TOTAL_ODDS) * total_budget, 2)
elif c_type == 'glh':
entry['GLH_result'][f"pos_{key}_{sub_key}"] = round((RANK_GLH_ODDS / TOTAL_ODDS) * total_budget, 2)
results.append(entry)
with open('data_test_predict/betting_predictions_final_1_20.json', 'w', encoding='utf-8') as f:
# with open('data_test_predict/betting_predictions_final_502.json', 'w', encoding='utf-8') as f:
# with open('data_test_predict/betting_predictions_final_501.json', 'w', encoding='utf-8') as f:
json.dump(results, f, ensure_ascii=False, indent=2)
print(f"Generated {len(results)} predictions.")
if __name__ == "__main__":
main()

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{
"by_time": {
"00:05:00": {
"result_pos_prob": {
"pos_0": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_1": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_2": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_3": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_4": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_5": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_6": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_7": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_8": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_9": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1}
},
"result_pos_detail_prob": {
"pos_0": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_1": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_2": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_3": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_4": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_5": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_6": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_7": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_8": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
},
"pos_9": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
}
},
"winner_prob": {
"3": 0.05, "4": 0.05, "5": 0.05, "6": 0.05, "7": 0.05, "8": 0.05, "9": 0.05, "10": 0.05, "11": 0.1,
"12": 0.05, "13": 0.05, "14": 0.05, "15": 0.05, "16": 0.05, "17": 0.05, "18": 0.05, "19": 0.05
},
"GD1_prob": {"冠亚大": 0.5, "冠亚小": 0.5},
"GD2_prob": {"冠亚单": 0.5, "冠亚双": 0.5},
"GLH_pos_prob": {
"pos_0": {"龙": 0.5, "虎": 0.5},
"pos_1": {"龙": 0.5, "虎": 0.5},
"pos_2": {"龙": 0.5, "虎": 0.5},
"pos_3": {"龙": 0.5, "虎": 0.5},
"pos_4": {"龙": 0.5, "虎": 0.5}
}
}
},
"by_date": {
"1": {
"result_pos_prob": {
"pos_0": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_1": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_2": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_3": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_4": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_5": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_6": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_7": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_8": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_9": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1}
},
"result_pos_detail_prob": {
"pos_0": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
}
},
"winner_prob": {
"3": 0.05, "4": 0.05, "5": 0.05, "6": 0.05, "7": 0.05, "8": 0.05, "9": 0.05, "10": 0.05, "11": 0.1,
"12": 0.05, "13": 0.05, "14": 0.05, "15": 0.05, "16": 0.05, "17": 0.05, "18": 0.05, "19": 0.05
},
"GD1_prob": {"冠亚大": 0.5, "冠亚小": 0.5},
"GD2_prob": {"冠亚单": 0.5, "冠亚双": 0.5},
"GLH_pos_prob": {
"pos_0": {"龙": 0.5, "虎": 0.5},
"pos_1": {"龙": 0.5, "虎": 0.5},
"pos_2": {"龙": 0.5, "虎": 0.5},
"pos_3": {"龙": 0.5, "虎": 0.5},
"pos_4": {"龙": 0.5, "虎": 0.5}
}
}
},
"by_week": {
"0": {
"result_pos_prob": {
"pos_0": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_1": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_2": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_3": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_4": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_5": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_6": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_7": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_8": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1},
"pos_9": {"1": 0.1, "2": 0.1, "3": 0.1, "4": 0.1, "5": 0.1, "6": 0.1, "7": 0.1, "8": 0.1, "9": 0.1, "10": 0.1}
},
"result_pos_detail_prob": {
"pos_0": {
"big_small": {"大": 0.5, "小": 0.5},
"odd_even": {"单": 0.5, "双": 0.5}
}
},
"winner_prob": {
"3": 0.05, "4": 0.05, "5": 0.05, "6": 0.05, "7": 0.05, "8": 0.05, "9": 0.05, "10": 0.05, "11": 0.1,
"12": 0.05, "13": 0.05, "14": 0.05, "15": 0.05, "16": 0.05, "17": 0.05, "18": 0.05, "19": 0.05
},
"GD1_prob": {"冠亚大": 0.5, "冠亚小": 0.5},
"GD2_prob": {"冠亚单": 0.5, "冠亚双": 0.5},
"GLH_pos_prob": {
"pos_0": {"龙": 0.5, "虎": 0.5},
"pos_1": {"龙": 0.5, "虎": 0.5},
"pos_2": {"龙": 0.5, "虎": 0.5},
"pos_3": {"龙": 0.5, "虎": 0.5},
"pos_4": {"龙": 0.5, "虎": 0.5}
}
}
}
}

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import json
from datetime import datetime
class LotteryPredictorV6:
def __init__(self, stats_path):
with open(stats_path, 'r', encoding='utf-8') as f:
self.stats = json.load(f)
# self.result_weights = {'time': 0.83, 'week': 0.14, 'date': 0.03}
self.result_weights = {'time': 0.9, 'week': 0.05, 'date': 0.05}
self.result_detail_weights = {'time': 0.9, 'week': 0.05, 'date': 0.05}
self.winner_weights = {'time': 0.9, 'week': 0.05, 'date': 0.05}
self.gd_weights = {'time': 0.9, 'week': 0.05, 'date': 0.05}
self.glh_weights = {'time': 0.9, 'week': 0.05, 'date': 0.05}
def predict(self, date_str, time_str):
dt = datetime.strptime(date_str, '%Y-%m-%d')
day_of_month = str(dt.day)
day_of_week = str(dt.weekday())
t_stats = self.stats['by_time'].get(time_str, {})
d_stats = self.stats['by_date'].get(day_of_month, {})
w_stats = self.stats['by_week'].get(day_of_week, {})
raw_probs = {
'digital_pos': {},
'pos_detail': {},
'winner_prob': {},
'direct_gd1': {},
'direct_gd2': {},
'glh_pos': {}
}
# 1. 数字位置概率
for i in range(10):
pos_key = f'pos_{i}'
combined = {}
for val in range(1, 11):
v = str(val)
p = (t_stats.get('result_pos_prob', {}).get(pos_key, {}).get(v, 0) * self.result_weights['time'] +
w_stats.get('result_pos_prob', {}).get(pos_key, {}).get(v, 0) * self.result_weights['week'] +
d_stats.get('result_pos_prob', {}).get(pos_key, {}).get(v, 0) * self.result_weights['date'])
combined[v] = p
raw_probs['digital_pos'][pos_key] = combined
# 2. 位置详情 (单双大小)
for i in range(10):
pos_key = f'pos_{i}'
raw_probs['pos_detail'][pos_key] = {'big_small': {}, 'odd_even': {}}
for cat in ['big_small', 'odd_even']:
options = ['大', '小'] if cat == 'big_small' else ['单', '双']
for opt in options:
p = (t_stats.get('result_pos_detail_prob', {}).get(pos_key, {}).get(cat, {}).get(opt, 0) * self.result_detail_weights['time'] +
w_stats.get('result_pos_detail_prob', {}).get(pos_key, {}).get(cat, {}).get(opt, 0) * self.result_detail_weights['week'] +
d_stats.get('result_pos_detail_prob', {}).get(pos_key, {}).get(cat, {}).get(opt, 0) * self.result_detail_weights['date'])
raw_probs['pos_detail'][pos_key][cat][opt] = p
# 3. 冠亚和
for val in range(3, 20):
v = str(val)
p = (t_stats.get('winner_prob', {}).get(v, 0) * self.winner_weights['time'] +
w_stats.get('winner_prob', {}).get(v, 0) * self.winner_weights['week'] +
d_stats.get('winner_prob', {}).get(v, 0) * self.winner_weights['date'])
raw_probs['winner_prob'][v] = p
# 4. GD1 & GD2
for cat, opts in [('direct_gd1', ['冠亚大', '冠亚小']), ('direct_gd2', ['冠亚单', '冠亚双'])]:
stat_key = 'GD1_prob' if cat == 'direct_gd1' else 'GD2_prob'
for opt in opts:
p = (t_stats.get(stat_key, {}).get(opt, 0) * self.gd_weights['time'] +
w_stats.get(stat_key, {}).get(opt, 0) * self.gd_weights['week'] +
d_stats.get(stat_key, {}).get(opt, 0) * self.gd_weights['date'])
raw_probs[cat][opt] = p
# 5. 龙虎
for i in range(5):
pos_key = f'pos_{i}'
raw_probs['glh_pos'][pos_key] = {}
for opt in ['龙', '虎']:
p = (t_stats.get('GLH_pos_prob', {}).get(pos_key, {}).get(opt, 0) * self.glh_weights['time'] +
w_stats.get('GLH_pos_prob', {}).get(pos_key, {}).get(opt, 0) * self.glh_weights['week'] +
d_stats.get('GLH_pos_prob', {}).get(pos_key, {}).get(opt, 0) * self.glh_weights['date'])
raw_probs['glh_pos'][pos_key][opt] = p
return raw_probs

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