优化红球的打印和变量名，逻辑相对更清晰

red_forecast.py

@@ -98,15 +98,19 @@ def get_red_forecast(_all_data, _red_data_dict, _red_data, range_num=1):
             else:
                 _red_forecast_dict[_r] = _sum
     _red_forecast_dict = dict_rate(dict_sort(_red_forecast_dict, 'val', True))
+    n = 1
     for k, v in _red_forecast_dict.items():
+        if n == 12 or n == 23:
+            print('-' * 10)
         print(f"{k}-{v}")
+        n += 1
 
     _red_forecast_list = []
     for _red, __ in _red_forecast_dict.items():
         _red_forecast_list.append(_red)
 
-    print('高概率红球推荐：')
-    print(', '.join(sorted(_red_forecast_list[0:6])))
+    # print('高概率红球推荐：')
+    # print(', '.join(sorted(_red_forecast_list[0:6])))
 
     # 产生随机数
     red_index_list = get_random_index()
@@ -154,16 +158,16 @@ def update_red_forecast_db():
 
 def get_random_index():
     # 产生随机数
-    random_small, random_middle, random_big = -1, -1, -1
-    while random_small < 0 or random_middle < 0 or random_big < 0:
-        random_small = random.randint(0, 2)
-        random_big = random.randint(1, 6 - random_small)
-        random_middle = 6 - random_small - random_big
-        # print(random_small, random_middle, random_big)
-    small_red_index_list = [n[0] - 1 for n in new_num(11, random_small)[0:random_small]]
+    random_high, random_middle, random_low = -1, -1, -1
+    while random_high < 0 or random_middle < 0 or random_low < 0:
+        random_high = random.randint(0, 2)
+        random_low = random.randint(1, 6 - random_high)
+        random_middle = 6 - random_high - random_low
+        print('分布区间（高概率区，中概率区，低概率区）：', random_high, random_middle, random_low)
+    high_red_index_list = [n[0] - 1 for n in new_num(11, random_high)[0:random_high]]
     middle_red_index_list = [n[0] - 1 + 10 for n in new_num(11, random_middle)[0:random_middle]]
-    big_red_index_list = [n[0] - 1 + 20 for n in new_num(11, random_big)[0:random_big]]
-    red_index_list = sorted(small_red_index_list + middle_red_index_list + big_red_index_list)
+    low_red_index_list = [n[0] - 1 + 20 for n in new_num(11, random_low)[0:random_low]]
+    red_index_list = sorted(high_red_index_list + middle_red_index_list + low_red_index_list)
     # print(red_index_list)
     return red_index_list
 
@@ -172,3 +176,4 @@ if __name__ == "__main__":
     # 实现获取含有这个数的下一期或几期中数字的概率
     # 实现获取含有所以数据的总出现概率
     update_red_forecast_db()
+    # print(get_random_index())