from blue_forecast import dict_sort, dict_rate
import pymysql
import json
from functools import reduce
from pymysql.cursors import DictCursor

db = {
    'host': 'home.rogersun.online',
    'user': 'root',
    'password': 'Sxzgx1209',
    'database': 'lottery'
}

d1 = {"06": 18, "08": 16, "10": 15, "16": 15, "04": 13, "15": 13, "01": 13, "11": 12, "09": 11, "13": 10, "14": 10,
      "05": 10, "12": 10, "03": 8, "07": 7, "02": 6}
d2 = {"09": 45, "01": 44, "07": 43, "14": 43, "15": 42, "12": 42, "02": 38, "04": 37, "10": 37, "11": 35, "05": 31,
      "16": 31, "03": 29, "08": 28, "06": 28, "13": 24}
d3 = {"01": 93, "09": 80, "10": 75, "15": 72, "16": 71, "03": 70, "08": 65, "11": 64, "06": 63, "02": 62, "04": 62,
      "14": 61, "12": 61, "05": 61, "07": 55, "13": 55}
d4 = {"15": 126, "01": 121, "05": 116, "14": 112, "16": 112, "09": 111, "06": 108, "11": 107, "08": 106, "07": 106,
      "10": 106, "04": 103, "13": 97, "02": 96, "12": 96, "03": 83}
d5 = {"15": 185, "16": 165, "11": 165, "06": 164, "05": 160, "14": 153, "08": 152, "12": 152, "07": 149, "09": 148,
      "10": 147, "02": 145, "01": 144, "13": 142, "04": 141, "03": 131}

data_list = [d1, d2, d3, d4, d5]


def get_history_date_id():
    conn = pymysql.Connect(**db)
    cursor = conn.cursor(DictCursor)
    cursor.execute("SELECT dateId FROM lottery.blue_forecast GROUP BY dateId ")
    result = cursor.fetchall()
    date_id_list = []
    for d in result:
        date_id_list.append(d['dateId'])
    return sorted(date_id_list, reverse=True)[0:5]


def get_forecast_blue(_date_id_list):
    conn = pymysql.Connect(**db)
    cursor = conn.cursor(DictCursor)
    n = 1
    _blue_list = []
    for _id in _date_id_list:
        cursor.execute("SELECT blue FROM lottery.blue_forecast WHERE dateId = %s AND params = %s", (_id, n))
        r = cursor.fetchone()
        _blue = json.loads(r['blue'])
        _blue_list.append(_blue)
        n += 1
    return _blue_list


def new_blue_forecast(_blue_list):
    result = {}

    for d in _blue_list:
        for k, v in d.items():
            if k in result.keys():
                result[k] += v
            else:
                result[k] = v

    print("新算法")
    for k, v in dict_rate(dict_sort(result, 'val', True)).items():
        print(f"{k} - {v}")


if __name__ == "__main__":
    date_id_list = get_history_date_id()
    blue_list = get_forecast_blue(date_id_list)
    new_blue_forecast(blue_list)