Lottery/orm/blue_forecast.py

import json
from db import *
from util import *


# 获取全部数据
def get_all_data():
    return db_history_get_all_data()


def get_all_data_desc():
    return db_history_get_all_data('desc')


# 获取所有篮球的统计数据
def get_all_blue(_all_data):
    all_blue = dict()
    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):
    return dict_sort(get_analysis_data(_blue_data), 'val', True)


# 获取全部向前追溯的蓝球数据列表
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))


# 获取全部向后预测的历史id列表
def get_all_post_id_list(_all_data, _blue_id_list, _num):
    post_id_list = []
    min_id, max_id = 1, _all_data[-1]['id']  # 获取最大和最小id
    for _id in _blue_id_list:
        for n in range(1, _num + 1):
            _post_id = _id + n
            if min_id <= _post_id <= max_id:
                post_id_list.append(_post_id)
    return post_id_list


# 获取蓝球统计数据
def get_blue_statistics(_prv_blue_id_list):
    _blue_data = db_history_get_data_in_ids(_prv_blue_id_list)
    _blue_dict = dict()
    for _data in _blue_data:
        if _data['blue'] in _blue_dict.keys():
            _blue_dict[_data['blue']] += 1
        else:
            _blue_dict[_data['blue']] = 1
    return _blue_dict


# 根据蓝球获取全部历史中出现过此蓝球的id列表
def get_blue_id_list_by_blue(_all_data, _last_blue):
    blue_id_list = []
    for _data in _all_data:
        if _data['blue'] == _last_blue:
            blue_id_list.append(_data['id'])
    return blue_id_list


# 获取预测的数据
def get_blue_forecast(_all_data, _method, _num):
    """
    prv
    当_num=3时
    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）
    post
    当_num=3时
    先取当前一期的蓝球，然后从获取历史中蓝球的id
    在此id的基础上累加1,2,3，获取到3个id
    查询这些id对应蓝球，统计蓝球数据
    """

    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)  # 根据蓝球出现的历史记录查询出向前推算的蓝球对应数据id号
        _raw_blue_data = get_blue_statistics(prv_blue_id_list)  # 根据上步查出的id列表，统计出蓝球出现的次数
        _result = get_analysis_data(_raw_blue_data)  # 根据上步蓝球的出现次数统计，计算偏差值
        return dict_sort(_result, 'val', True)
    elif _method == 'post':  # 当前一期往后num期，不包含此期的数据
        last_blue = _all_data[-1]['blue']  # 获取最后一期蓝球号码
        blue_id_list = get_blue_id_list_by_blue(_all_data, last_blue)  # 获取所以蓝球等于最后一期蓝球的期数id
        post_blue_id_list = get_all_post_id_list(_all_data, blue_id_list, _num)
        _raw_blue_data = get_blue_statistics(post_blue_id_list)  # 根据上步查出的id列表，统计出蓝球出现的次数
        _result = get_analysis_data(_raw_blue_data)  # 根据上步蓝球的出现次数统计，计算偏差值
        return dict_sort(_result, 'val', True)
    else:
        return False


def insert_blue_data(_all_data, _history, _prv, _post, _num):
    insert_data = dict()
    insert_data['dateId'] = _all_data[-1]['dateId']
    insert_data['history'] = _history
    insert_data['prv'] = _prv
    insert_data['post'] = _post
    result = db_blue_insert(insert_data, _num)
    if result > 0:
        print(f"输入数据成功，插入{result}条数据")
    else:
        print("数据插入失败")


def get_interval_blue():
    blue_dict = {}
    _all_data_desc = get_all_data_desc()
    _last_blue = _all_data_desc[0].get('blue')
    _blue_list = [_data['blue'] for _data in _all_data_desc]
    for n in range(len(_blue_list)):
        if _blue_list[n] not in blue_dict.keys():
            blue_dict[_blue_list[n]] = n
        if len(blue_dict.keys()) == 16:
            break
    # print(dict_sort(blue_dict, 'val', True))
    return dict_sort(blue_dict, 'val', True)


def print_blue_data(_history, _prv_five, _post_five, _prv_three, _post_three, _interval):
    _history_list = list(_history.items())
    _prv_five_list = list(_prv_five.items())
    _post_five_list = list(_post_five.items())
    _prv_three_list = list(_prv_three.items())
    _post_three_list = list(_post_three.items())
    _interval_list = list(_interval.items())
    print('篮球数据表：')
    for i in range(16):
        print(f"{_history_list[i][0]}  [{_history_list[i][1]}]\t"
              f" {_prv_five_list[i][0]}  [{_prv_five_list[i][1]}]\t"
              f"{_post_five_list[i][0]}  [{_post_five_list[i][1]}]\t"
              f"{_prv_three_list[i][0]}  [{_prv_three_list[i][1]}]\t"
              f"{_post_three_list[i][0]}  [{_post_three_list[i][1]}]\t"
              f"{_interval_list[i][0]}  [{_interval_list[i][1]}]")


def forecast_blue():
    all_data = get_all_data()
    history_total = get_delta_blue(get_all_blue(all_data))
    prv_five = get_blue_forecast(get_all_data(), 'prv', 5)
    post_five = get_blue_forecast(get_all_data(), 'post', 5)
    prv_three = get_blue_forecast(get_all_data(), 'prv', 3)
    post_three = get_blue_forecast(get_all_data(), 'post', 3)
    interval_blue = get_interval_blue()
    insert_blue_data(all_data, json.dumps(history_total), json.dumps(prv_five), json.dumps(post_five), 5)
    insert_blue_data(all_data, json.dumps(history_total), json.dumps(prv_three), json.dumps(post_three), 3)
    print_blue_data(history_total, prv_five, post_five, prv_three, post_three, interval_blue)


if __name__ == "__main__":
    # all_data = get_all_data()
    # history_total = get_delta_blue(get_all_blue(all_data))
    # prv_five = get_blue_forecast(get_all_data(), 'prv', 5)
    # post_five = get_blue_forecast(get_all_data(), 'post', 5)
    # prv_three = get_blue_forecast(get_all_data(), 'prv', 3)
    # post_three = get_blue_forecast(get_all_data(), 'post', 3)
    # insert_blue_data(all_data, json.dumps(history_total), json.dumps(prv_five), json.dumps(post_five), 5)
    # insert_blue_data(all_data, json.dumps(history_total), json.dumps(prv_three), json.dumps(post_three), 3)
    # print_blue_data(history_total, prv_five, post_five, prv_three, post_three)
    # get_interval_blue()
    pass