fix: 修改业务逻辑代码

dlt.py

@@ -0,0 +1,28 @@
+import itertools
+import pandas as pd
+import numpy as np
+
+# 前区
+res1 = list(itertools.combinations(range(1, 36), 5))
+sum_res1_df = pd.value_counts([ sum(map(int, list(i))) for i in res1])
+# print(sum_res1_df[:20])
+
+sum_res1_dict = {i: [] for i in np.arange(15, 166)}
+for i in res1:
+    sum_res1_dict[sum(i)].append(i)
+
+f = lambda item: True if max(item) > 29 else False
+arr = list(filter(f, sum_res1_dict[92]))
+
+# print(len(sum_res1_dict[72]))
+
+
+# 后区
+res2 = list(itertools.combinations(range(1, 13), 2))
+sum_res2_df = pd.value_counts([ sum(map(int, list(i))) for i in res2])
+print(len(sum_res2_df))
+
+sum_res2_dict = {i: [] for i in np.arange(3, 24)}
+for i in res2:
+    sum_res2_dict[sum(i)].append(i)
+print(sum_res2_dict)

get_data.py

@@ -1,7 +1,6 @@
 from requests_html import HTML, HTMLSession
 from retrying import retry
-from sqlalchemy import create_engine
+
-from sqlalchemy.orm import sessionmaker
 
 from lottery import Lottery
 
@@ -47,6 +46,12 @@ if __name__ == '__main__':
     # url = "https://kaijiang.500.com/shtml/sd/04001.shtml"
     # url = "https://kaijiang.500.com/shtml/plw/04001.shtml"
     # main(url, lottery_type='plw')
-    for i in range(22320, 22321):
+    for y in range(24, 25):
-        url = f"https://kaijiang.500.com/shtml/pls/{i}.shtml"
+        for i in range(1, 365):
-        get_data(url, lottery_type= 'pls')
+            try :
+                issue = str(y) + f"{i:03d}"
+                url = f"https://kaijiang.500.com/shtml/pls/{issue}.shtml"
+                get_data(url, lottery_type='pls')
+            except Exception as e:
+                print(e)
+                break

pls.py

@@ -9,7 +9,7 @@ l = set([ "".join(sorted(f"{i:03d}")) for i in a ])
 sum_list = [ sum(map(int, list(i))) for i in l]
 sum_df = pd.value_counts(sum_list)
 # print(sum_df.to_dict())
-# print((220/sum_df).to_dict())
+print((220/sum_df).to_dict())
 
 # 组三
 group3 = [ i for i in l if len(set(i)) == 2]
@@ -34,21 +34,35 @@ for i in group6:
 for i in sum_group6_dict.keys():
     f1 = lambda number: len([i for i in number if int(i) %2 == 0]) != 0
     f2 = lambda number: len([i for i in number if int(i) %2 == 1]) != 0
-    f3 = lambda number: True if max(map(int, number)) - min(map(int, number)) != 2 else False
+    f3 = lambda n: True if int(n[1]) - int(n[0]) == 1 or int(n[2]) - int(n[1]) == 1 else False
-    f4 = lambda number: True if '3' not in number else False
+    f4 = lambda number: True if 'a' not in number  else False
-    f5 = lambda number: True if '7' not in number else False
+    f5 = lambda number: True if '2' in number or '8' in number else False
     f6 = lambda number: True if len(set('279').difference(number)) == 2 else False
-    if i in [12, 13, 16]:
+    if i in [12,14,  15, 16, 17]:
         # result =   sum_group6_dict[i] + sum_group3_dict[i]
         result = sum_group3_dict[i]
-        # print(i, list(filter(f5, result)))
+        print("-"*15 + "组三" + "-"*15)
-        result = sum_group6_dict[i]
         print(i, list(filter(f5, result)))
+        result = sum_group6_dict[i]
+        print("-"*15 + "组六" + "-"*15)
+        print(i, list(filter(f5, result)))
+        print()
 
 
 # 连号
-result = []
+result_1 = []
-for i in l:
+# 大大小
-    a = np.array(list(map(int, i)))
+result_2 = []
-    if int(np.max(a) - np.median(a)) == 1  or int(np.median(a) - np.min(a)) == 1:
+for i in a:
-        result.append(i)
+    item = "".join(sorted(f"{i:03d}"))
+    if int(item[2]) - int(item[1]) == 1  or int(item[1]) - int(item[0]) == 1:
+        result_1.append(i)
+    item_2 = f"{i:03d}"
+    if int(item_2[0]) > 4 and int(item_2[1]) > 4 and int(item_2[2]) <= 4:
+        result_2.append(i)
+f = lambda number: True if '6' in f"{number:03d}" else False
+arr =  set([ "".join(sorted(f"{i:03d}")) for i in filter(f, result_1)])
+# print(list(arr))
+# print(len(result_1))
+# print(len(result_2))
+# print(result_2[:20])

plw.py

@@ -0,0 +1,11 @@
+import numpy as np 
+import pandas as pd
+import math
+
+
+a = np.arange(100000)
+l = set([ f"{i:05d}" for i in a ])
+sum_list = [ sum(map(int, list(i))) for i in l]
+sum_df = pd.value_counts(sum_list)
+print(sum_df.to_dict())
+print(np.ceil((100000/sum_df)).to_dict())

youdian.py

@@ -259,8 +259,8 @@ class Chrome(object):
 with Chrome() as chrome:
     # chrome.balance()
     # 组选
-    result = ['138', '048', '129', '246', '039', '238', '058', '139', '049', '148', '358', '259', '169', '349', '268']
+    result = ['348', '249', '168', '267', '078', '458', '368', '269', '089', '158', '239']
-    chrome.pls(result = result, multiple=1)
+    chrome.pls(result = result, multiple=2)
     # 直选
-    # result = ['925', '926', '278', '287', '219', '921', '327', '237', '274', '724']
+    # result = ['246', '264', '291', '219', '169']
     # chrome.pls(result=result, is_group=False)