476 lines
18 KiB
Python
476 lines
18 KiB
Python
import json
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import os
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import math
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import pandas as pd
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from datetime import datetime, timedelta
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# 玩法1.2 赔率映射
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SUM12_ODDS = {
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3: 41.9, 4: 41.9, 18: 41.9, 19: 41.9,
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5: 20.38, 6: 20.38, 16: 20.38, 17: 20.38,
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7: 13.51, 8: 13.51, 14: 13.51, 15: 13.51,
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9: 9.7, 10: 9.7, 12: 9.7, 13: 9.7,
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11: 8.1
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}
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INIT_CONFIG = {
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"INIT_GOLD": 100000, # 初始金币betting_predictions_final_500.json
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"init_cost": 100000,
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"stop_win": 1100000, # 本金止盈点
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"stop_loss": 0
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}
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# 玩法1.1 赔率映射
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SIZE_ODDS = {"冠亚大": 2.1, "冠亚小": 1.7}
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ODD_EVEN_ODDS = {"冠亚单": 1.7, "冠亚双": 2.1}
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NUM_DETAIL_ODDS = 1.9199
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# 玩法2.1/2.2/3 固定赔率
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RANK_GLH_ODDS = 1.9199 # 玩法2.2
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NUM_POS_ODDS = 9.599 # 玩法3
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# 定义工具函数：判断是否为NaN（兼容Python的None和math.nan）
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def is_nan(val):
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return val is None or (isinstance(val, float) and math.isnan(val))
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def load_actual_data(actual_dir):
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actual_records = []
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if not os.path.exists(actual_dir):
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return actual_records
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# 处理可能的嵌套目录
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target_dir = actual_dir
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if 'data_test_dir' in os.listdir(actual_dir):
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target_dir = os.path.join(actual_dir, 'data_test_dir')
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for file in os.listdir(target_dir):
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if file.endswith('.json') and file != 'stat_result.json':
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with open(os.path.join(target_dir, file), 'r') as f:
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try:
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data = json.load(f)
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actual_records.extend(data)
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except:
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continue
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return actual_records
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# 1. 加载实际结果数据（示例：从JSON字符串加载，可替换为文件读取）
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# with open("data_test_dir1/2026_1_17_data_test.json", "r", encoding="utf-8") as f:
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# actual_data = json.load(f)
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actual_data = load_actual_data("data_test_dir1")
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def get_history_records(data_dirs):
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all_records = []
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for d in data_dirs:
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if not os.path.exists(d): continue
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for f in os.listdir(d):
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if f.endswith('.json') and f != 'stat_result.json':
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with open(os.path.join(d, f), 'r') as file:
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try:
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content = json.load(file)
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if isinstance(content, list):
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all_records.extend([item for item in content if isinstance(item, dict)])
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except:
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continue
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return all_records
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# with open("data_test_predict/betting_predictions_final_2026-01-11.json", "r", encoding="utf-8") as f:
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# with open("data_test_predict/betting_predictions_final_502.json", "r", encoding="utf-8") as f:
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# with open("data_test_predict/betting_predictions_final_501.json", "r", encoding="utf-8") as f:
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# predict_data = json.load(f)
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predict_data = load_actual_data("data_test_predict")
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# 标准化时间函数
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def standardize_time(time_str):
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try:
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dt = datetime.strptime(time_str, "%Y-%m-%d %H:%M:%S")
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return dt
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except ValueError:
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return None
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# 构建实际数据的时间映射（使用datetime对象作为key）
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actual_time_map = {}
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for item in actual_data:
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std_dt = standardize_time(item["time"])
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if std_dt:
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actual_time_map[std_dt] = item
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# 定义函数：获取时间所属的区间key（07:05:00 ~ 次日06:00:00）
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def get_time_interval_key(dt):
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# 确定区间起始时间：如果当前时间 >= 07:05:00，起始为当天07:05，否则为前一天07:05
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start_hour, start_min = 7, 5
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if dt.hour > start_hour or (dt.hour == start_hour and dt.minute >= start_min):
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interval_start = datetime(dt.year, dt.month, dt.day, start_hour, start_min, 0)
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else:
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interval_start = datetime(dt.year, dt.month, dt.day, start_hour, start_min, 0) - timedelta(days=1)
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# 区间结束时间：起始时间 + 1天 - 1小时5分钟（即次日06:00:00）
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interval_end = interval_start + timedelta(days=1) - timedelta(hours=1, minutes=5)
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# 格式化区间key
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key = f"{interval_start.strftime('%Y-%m-%d %H:%M:%S')}_{interval_end.strftime('%Y-%m-%d %H:%M:%S')}"
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return key, interval_start, interval_end
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# ====================== 定义输赢计算函数 ======================
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def calculate_bet_result(actual, predict):
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bet_result = {
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"predict_id": predict["id"],
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"time": predict["time"],
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"actual_id": actual["id"],
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"result_bet": [], # 数字排列押注结果
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"result_detail_bet": [], # 数字排列大小单双押注结果
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"winner_bet": [], # 冠亚和押注结果
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"GD1_bet": [], # 冠亚大小押注结果
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"GD2_bet": [], # 冠亚单双押注结果
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"GLH_bet": [], # 龙虎押注结果
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"total_profit": 0, # 总盈利
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"total_cost": 0 # 总投入
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}
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# 3.1 计算result（数字排列）押注输赢
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actual_result = actual["result"]
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for idx, predict_idx_result in predict["result"].items():
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_idx = int(idx)
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hit = False
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total_bet = 0
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profit = 0
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for predict_idx, bet in predict_idx_result.items():
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if is_nan(bet):
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continue
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total_bet += bet
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if actual_result[_idx] == int(predict_idx):
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hit = True
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profit += bet * NUM_POS_ODDS
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bet_result["result_bet"].append({
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"num": actual_result[_idx],
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"bet": total_bet,
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"hit": hit,
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"profit": profit,
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})
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# 3.1.1 计算各位置的大小单双
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for idx, predict_detail_result in predict["result_detail"].items():
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_idx = int(idx)
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bet = 0
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profit = 0
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big_or_small = "大" if actual_result[_idx] >= 6 else "小"
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single_or_double = "单" if (actual_result[_idx] & 1) == 1 else "双"
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profit1 = predict_detail_result[big_or_small]
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profit2 = predict_detail_result[single_or_double]
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bet1 = predict_detail_result["小"]
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bet2 = predict_detail_result["大"]
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bet3 = predict_detail_result["双"]
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bet4 = predict_detail_result["单"]
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bet += (0 if is_nan(bet1) else bet1) + (0 if is_nan(bet2) else bet2) + (0 if is_nan(bet3) else bet3) + (
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0 if is_nan(bet4) else bet4)
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profit += (0 if is_nan(profit1) else profit1 * NUM_DETAIL_ODDS) + (
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0 if is_nan(profit2) else profit2 * NUM_DETAIL_ODDS)
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bet_result["result_detail_bet"].append({
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"num": actual_result[_idx],
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"bet": bet,
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"hit": True if profit > 0 else False,
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"profit": profit,
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"big_or_small": big_or_small,
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"single_or_double": single_or_double,
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})
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# 3.2 计算winner（冠亚和）押注输赢
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actual_winner = actual["winner"]
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for winner_str, bet in predict["winner"].items():
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if is_nan(bet):
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continue
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winner_val = int(winner_str)
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hit = winner_val == actual_winner
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profit = bet * (SUM12_ODDS[winner_val] if hit else 0)
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bet_result["winner_bet"].append({
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"winner_val": winner_val,
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"bet": 0 if is_nan(bet) else bet,
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"hit": hit,
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"profit": profit,
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})
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# 3.3 计算GD1（冠亚大小）押注输赢
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actual_gd1 = actual["GD1"]
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for gd1_type, bet in predict["GD1"].items():
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if is_nan(bet):
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continue
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hit = gd1_type == actual_gd1
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profit = bet * (SIZE_ODDS[actual_gd1] if hit else 0)
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bet_result["GD1_bet"].append({
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"gd1_type": gd1_type,
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"bet": 0 if is_nan(bet) else bet,
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"hit": hit,
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"profit": profit,
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})
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# 3.4 计算GD2（冠亚单双）押注输赢
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actual_gd2 = actual["GD2"]
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for gd2_type, bet in predict["GD2"].items():
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if is_nan(bet):
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continue
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hit = gd2_type == actual_gd2
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profit = bet * (ODD_EVEN_ODDS[gd2_type] if hit else 0)
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bet_result["GD2_bet"].append({
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"gd2_type": gd2_type,
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"bet": 0 if is_nan(bet) else bet,
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"hit": hit,
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"profit": profit,
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})
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# 3.5 计算GLH（龙虎）押注输赢
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actual_glh = actual["GLH_result"]
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for glh_type, bet in predict["GLH_result"].items():
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idx = int(glh_type[4])
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if idx >= len(actual_glh):
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break
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if is_nan(bet):
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continue
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glh_type = glh_type[-1:]
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hit = glh_type == actual_glh[idx]
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profit = bet * (RANK_GLH_ODDS if hit else 0)
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bet_result["GLH_bet"].append({
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"position": idx,
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"glh_type": glh_type,
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"bet": 0 if is_nan(bet) else bet,
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"hit": hit,
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"profit": profit,
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})
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# 3.6 计算本轮总盈利
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total_profit = sum([
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sum(item["profit"] for item in bet_result["result_bet"]),
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sum(item["profit"] for item in bet_result["result_detail_bet"]),
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sum(item["profit"] for item in bet_result["winner_bet"]),
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sum(item["profit"] for item in bet_result["GD1_bet"]),
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sum(item["profit"] for item in bet_result["GD2_bet"]),
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sum(item["profit"] for item in bet_result["GLH_bet"])
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])
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bet_result["total_profit"] = round(total_profit, 6) # 保留6位小数
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# 3.7 计算本轮总投入
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total_cost = sum([
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sum(item["bet"] for item in bet_result["result_bet"]),
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sum(item["bet"] for item in bet_result["result_detail_bet"]),
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sum(item["bet"] for item in bet_result["winner_bet"]),
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sum(item["bet"] for item in bet_result["GD1_bet"]),
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sum(item["bet"] for item in bet_result["GD2_bet"]),
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sum(item["bet"] for item in bet_result["GLH_bet"])
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])
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bet_result["total_cost"] = round(total_cost, 6)
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return bet_result
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def calculate_bet_input_cost(bet_result):
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this_round_total_cost = bet_result["total_cost"]
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this_round_total_profit = bet_result["total_profit"]
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global INIT_CONFIG
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INIT_CONFIG["init_cost"] = INIT_CONFIG["init_cost"] - this_round_total_cost + this_round_total_profit
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if INIT_CONFIG["init_cost"] <= INIT_CONFIG["stop_loss"] or INIT_CONFIG["init_cost"] >= INIT_CONFIG["stop_win"]:
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return False
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return True
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# ====================== 初始化区间聚合字典 ======================
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interval_agg_data = {}
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# 定义玩法列表（用于聚合）
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PLAY_TYPES = [
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"result_bet", # 数字排列
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"result_detail_bet", # 数字排列大小单双
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"winner_bet", # 冠亚和
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"GD1_bet", # 冠亚大小
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"GD2_bet", # 冠亚单双
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"GLH_bet" # 龙虎
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]
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# 初始化单个区间的聚合结构
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def init_interval_agg():
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agg = {
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# 各玩法的聚合数据
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"play_details": {
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play_type: {
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"total_input": 0.0, # 总投入
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"total_income": 0.0, # 总收益
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"input_income_ratio": 0.0, # 投入/收益比例
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"profit": 0.0 # 利润（收益-投入）
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} for play_type in PLAY_TYPES
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},
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# 整体聚合数据
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"total": {
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"total_input": 0.0,
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"total_income": 0.0,
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"input_income_ratio": 0.0,
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"total_profit": 0.0 # 总利润（总收益-总投入）
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}
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}
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return agg
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# ====================== 批量匹配并计算结果 ======================
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final_results = []
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for predict_item in predict_data:
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# 标准化预测时间
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predict_time_str = predict_item["time"]
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predict_dt = standardize_time(predict_time_str)
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if not predict_dt:
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final_results.append({
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"predict_id": predict_item["id"],
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"time": predict_time_str,
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"error": "时间格式错误，无法解析"
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})
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continue
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# 获取所属区间key
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interval_key, _, _ = get_time_interval_key(predict_dt)
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# 按时间匹配实际结果
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actual_item = actual_time_map.get(predict_dt)
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if not actual_item:
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final_results.append({
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"predict_id": predict_item["id"],
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"time": predict_time_str,
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"error": "未找到对应时间的实际结果"
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})
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continue
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# 计算单条输赢结果
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bet_result = calculate_bet_result(actual_item, predict_item)
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_continue = calculate_bet_input_cost(bet_result)
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final_results.append(bet_result)
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# ====================== 聚合到对应时间区间 ======================
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# 初始化区间数据（如果不存在）
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if interval_key not in interval_agg_data:
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interval_agg_data[interval_key] = init_interval_agg()
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# 遍历每个玩法，聚合数据
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total_input = 0.0
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total_income = 0.0
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for play_type in PLAY_TYPES:
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# 计算该玩法的总投入和总收益
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play_input = sum(item["bet"] for item in bet_result[play_type])
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play_income = sum(item["profit"] for item in bet_result[play_type])
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# 更新玩法详情
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play_detail = interval_agg_data[interval_key]["play_details"][play_type]
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play_detail["total_input"] += play_input
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play_detail["total_income"] += play_income
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# 计算利润
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play_detail["profit"] = round(play_detail["total_income"] - play_detail["total_input"], 6)
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# 计算投入/收益比例（避免除以0）
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if play_detail["total_income"] != 0:
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play_detail["input_income_ratio"] = round(play_detail["total_input"] / play_detail["total_income"], 6)
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else:
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play_detail["input_income_ratio"] = 0.0
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# 累加至总投入/总收益
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total_input += play_input
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total_income += play_income
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# 更新区间整体数据
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total_detail = interval_agg_data[interval_key]["total"]
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total_detail["total_input"] += total_input
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total_detail["total_income"] += total_income
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# 总利润（收益-投入）
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total_detail["total_profit"] = round(total_detail["total_income"] - total_detail["total_input"], 6)
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# 总投入/收益比例
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if total_detail["total_income"] != 0:
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total_detail["input_income_ratio"] = round(total_detail["total_input"] / total_detail["total_income"], 6)
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else:
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total_detail["input_income_ratio"] = 0.0
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if not _continue:
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break
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# ====================== 输出区间聚合结果 ======================
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print("=" * 100)
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print("时间区间聚合盈亏统计")
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print("=" * 100)
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for interval_key, agg_data in interval_agg_data.items():
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print(f"\n【区间】: {interval_key}")
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print("-" * 80)
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# 输出各玩法详情
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print("【各玩法统计】:")
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for play_type, play_data in agg_data["play_details"].items():
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print(f"\n{play_type}:")
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print(f" 总投入: {play_data['total_input']:.6f} 元")
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print(f" 总收益: {play_data['total_income']:.6f} 元")
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print(f" 投入/收益比例: {play_data['input_income_ratio']:.6f}")
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print(f" 利润（收益-投入）: {play_data['profit']:.6f} 元")
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# 输出整体统计
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print("\n【区间整体统计】:")
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total_data = agg_data["total"]
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print(f" 总投入: {total_data['total_input']:.6f} 元")
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print(f" 总收益: {total_data['total_income']:.6f} 元")
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print(f" 投入/收益比例: {total_data['input_income_ratio']:.6f}")
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print(f" 总利润（收益-投入）: {total_data['total_profit']:.6f} 元")
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print("-" * 80)
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# ====================== 输出原始明细（可选） ======================
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print("\n\n" + "=" * 100)
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print("原始押注明细")
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print("=" * 100)
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for res in final_results:
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if "error" in res:
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print(f"【预测ID: {res['predict_id']}】 时间: {res['time']} | 错误: {res['error']}\n")
|
||
continue
|
||
|
||
print(f"===== 预测ID: {res['predict_id']} | 时间: {res['time']} | 实际ID: {res['actual_id']} =====")
|
||
|
||
# 输出数字排列押注结果
|
||
print("\n--- 数字排列押注 ---")
|
||
for item in res["result_bet"]:
|
||
status = "命中" if item["hit"] else "未命中"
|
||
print(f"数字{item['num']} | 押注{item['bet']}元 | {status} | 盈利{item['profit']}元")
|
||
|
||
# 输出数字排列大小单双押注结果
|
||
print("\n--- 数字排列大小单双押注 ---")
|
||
for item in res["result_detail_bet"]:
|
||
single_or_double = item["single_or_double"]
|
||
big_or_small = item["big_or_small"]
|
||
print(f"数字{item['num']} | 押注{item['bet']}元 | {single_or_double}{big_or_small} | 盈利{item['profit']}元")
|
||
|
||
# 输出冠亚和押注结果
|
||
print("\n--- 冠亚和押注 ---")
|
||
for item in res["winner_bet"]:
|
||
status = "命中" if item["hit"] else "未命中"
|
||
print(f"冠亚和{item['winner_val']} | 押注{item['bet']}元 | {status} | 盈利{item['profit']}元")
|
||
|
||
# 输出冠亚大小押注结果
|
||
print("\n--- 冠亚大小押注 ---")
|
||
for item in res["GD1_bet"]:
|
||
status = "命中" if item["hit"] else "未命中"
|
||
print(f"{item['gd1_type']} | 押注{item['bet']}元 | {status} | 盈利{item['profit']}元")
|
||
|
||
# 输出冠亚单双押注结果
|
||
print("\n--- 冠亚单双押注 ---")
|
||
for item in res["GD2_bet"]:
|
||
status = "命中" if item["hit"] else "未命中"
|
||
print(f"{item['gd2_type']} | 押注{item['bet']}元 | {status} | 盈利{item['profit']}元")
|
||
|
||
# 输出龙虎押注结果
|
||
print("\n--- 龙虎押注 ---")
|
||
for item in res["GLH_bet"]:
|
||
status = "命中" if item["hit"] else "未命中"
|
||
print(f"位置{item['position']}({item['glh_type']}) | 押注{item['bet']}元 | {status} | 盈利{item['profit']}元")
|
||
|
||
print("\n" + "-" * 80 + "\n")
|
||
|
||
total_input = sum([current_input["total"]["total_input"] for _, current_input in interval_agg_data.items()])
|
||
total_income = sum([current_input["total"]["total_income"] for _, current_input in interval_agg_data.items()])
|
||
print(f"总投入 {total_input}, 总收益 {total_income}, 最终盈利: {total_income - total_input:.6f}")
|
||
|
||
# 可选：将区间聚合结果保存为JSON文件
|
||
with open("interval_agg_result_1_1_2.json", "w", encoding="utf-8") as f:
|
||
json.dump(interval_agg_data, f, ensure_ascii=False, indent=4)
|
||
print("\n区间聚合结果已保存至 interval_agg_result.json")
|