用于处理彩票的大数据算法
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

92 lines
2.8 KiB

from db import *
from util import *
# last_data = get_last_data()
# print(last_data)
#
# date_id_data = get_data_by_date_id('2023068')
# print(date_id_data)
# 获取全部数据
def get_all_data():
return db_get_all_data()
# 获取所有篮球的统计数据
def get_all_blue():
all_blue = dict()
all_data = db_get_all_data()
if all_data is not False:
for data in all_data:
if data['blue'] in all_blue.keys():
all_blue[data['blue']] += 1
else:
all_blue[data['blue']] = 1
return dict_sort(all_blue)
else:
return False
# 获取蓝球统计次数与平均值的额偏差
def get_delta_blue(_blue_data):
total = 0
if _blue_data is not False:
for _num in _blue_data.values():
total += _num
average = total / len(_blue_data.keys())
print(average)
_delta_blue_dict = dict()
for _key, _val in _blue_data.items():
_delta_blue_dict[_key] = _blue_data[_key] - average
return _delta_blue_dict
print(get_delta_blue(get_all_blue()))
def get_all_prv_blue_list(_all_data, _last_blue_list, _num):
all_prv_blue_list = []
min_id, max_id = 1, _all_data[-1]['id'] # 获取最大和最小id
for n in range(len(_last_blue_list)):
# print(_last_blue_list[n])
for _data in _all_data:
if _data['blue'] == _last_blue_list[n]:
_id = _data['id'] + _num - n
if min_id <= _id <= max_id:
# print(f"{_data['id']} - {_id}")
all_prv_blue_list.append(_id)
return sorted(set(all_prv_blue_list))
# 获取预测的数据
def get_blue_forecast(_all_data, _method, _num):
last_blue = db_get_last_data()['blue']
if last_blue is False:
return False
blue_id_list = []
for _data in _all_data:
if _data['blue'] == last_blue:
blue_id_list.append(_data['id'])
print(blue_id_list)
min_id, max_id = 1, _all_data[-1]['id'] # 获取最大和最小id
"""
当_num=3
先取当前一期的蓝球号码然后计算历史上相同蓝球出现的后一期蓝球
然后往前推一期取这一期蓝球号码统计这个号码后两期的蓝球不包含后一期
然后再往前推一期取这一期蓝球号码统计这个号码后三期的蓝球不包含后一期和后两期
"""
if _method == 'prv': # 当前一期往前推num期,包含此期数据
recent_blue_id_list = [d['blue'] for d in _all_data[-_num:]]
prv_blue_id_list = get_all_prv_blue_list(_all_data, recent_blue_id_list, _num)
print(prv_blue_id_list)
elif _method == 'post': # 当前一期往后num期,不包含此期的数据
pass
else:
return False
get_blue_forecast(get_all_data(), 'prv', 5)