Lottery/orm/blue_forecast.py

from db import *
from util import *


# 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_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_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


# 获取分析后的差异数据
def get_analysis_data(_raw_blue_data):
    total = 0
    for _num in _raw_blue_data.values():
        total += _num
    average = total / len(_raw_blue_data.keys())
    _delta_blue_dict = dict()
    for _key, _val in _raw_blue_data.items():
        _delta_blue_dict[_key] = round(_raw_blue_data[_key] - average, 2)
    return _delta_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):
    # 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）
    """

    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


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)
    prv_three = get_blue_forecast(get_all_data(), 'prv', 3)
    post_five = get_blue_forecast(get_all_data(), 'post', 5)
    post_three = get_blue_forecast(get_all_data(), 'post', 3)
    print(history_total)
    print(prv_five)
    print(prv_three)
    print(post_five)
    print(post_three)