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174 lines
5.4 KiB
174 lines
5.4 KiB
import random |
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import pymysql |
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from pymysql.cursors import DictCursor |
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import json |
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from blue_forecast import dict_sort, dict_rate |
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from lottery_random import new_num |
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db = { |
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'host': 'home.rogersun.online', |
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'user': 'root', |
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'password': 'Sxzgx1209', |
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'database': 'lottery' |
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} |
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def get_all_data(): |
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conn = pymysql.connect(**db) |
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curser = conn.cursor(DictCursor) |
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curser.execute("SELECT * FROM history") |
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_all_data = curser.fetchall() |
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# print(all_data) |
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return _all_data |
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def get_all_red(): |
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_all_data = get_all_data() |
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_red_data = [] |
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for data in _all_data: |
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_red_data.append(json.loads(data['red'])) |
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return _red_data |
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def get_all_red_with_id(): |
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_all_data = get_all_data() |
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_red_data_dict = {} |
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for data in _all_data: |
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_red_data_dict[data['id']] = json.loads(data['red']) |
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return _red_data_dict |
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def get_last_red(_red_data): |
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return _red_data[-1] |
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def get_last_id(_all_data): |
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return _all_data[-1]['id'] |
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def get_all_data_rate(_all_red_data): |
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_red = {} |
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for _red_list in _all_red_data: |
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for r in _red_list: |
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if r in _red.keys(): |
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_red[r] += 1 |
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else: |
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_red[r] = 1 |
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print("历史红球的出现概率:") |
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for k, v in dict_rate(dict_sort(_red, 'val', True)).items(): |
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print(f"{k}: {v}") |
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def get_red_forecast(_all_data, _red_data_dict, _red_data, range_num=1): |
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print("红球预期数据:") |
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_last_red = get_last_red(_red_data) |
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_last_id = get_last_id(_all_data) |
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_id_dict = {} |
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for _red in _last_red: |
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for _id, _red_list in _red_data_dict.items(): |
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if _id == _last_id: |
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break |
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if _red in _red_list: |
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if _red in _id_dict.keys(): |
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_id_dict[_red].append(_id + 1) |
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else: |
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_id_dict[_red] = [_id + 1] |
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# for k, v in _id_dict.items(): |
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# print(f"{k}-{v}") |
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_red_dict = {} |
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for _red, _id_list in _id_dict.items(): |
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# print(f"{_red}-{_id_list}") |
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_red_temp_dict = {} |
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for _id in _id_list: |
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for _r in _red_data_dict[_id]: |
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if _r in _red_temp_dict.keys(): |
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_red_temp_dict[_r] += 1 |
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else: |
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_red_temp_dict[_r] = 1 |
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_red_dict[_red] = _red_temp_dict |
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# for k, v in _red_dict.items(): |
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# print(f"{k}-{dict_rate(dict_sort(v,'val', True))}") |
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_red_forecast_dict = {} |
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for _red, _red_list in _red_dict.items(): |
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for _r, _sum in _red_list.items(): |
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if _r in _red_forecast_dict.keys(): |
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_red_forecast_dict[_r] += _sum |
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else: |
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_red_forecast_dict[_r] = _sum |
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_red_forecast_dict = dict_rate(dict_sort(_red_forecast_dict, 'val', True)) |
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for k, v in _red_forecast_dict.items(): |
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print(f"{k}-{v}") |
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_red_forecast_list = [] |
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for _red, __ in _red_forecast_dict.items(): |
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_red_forecast_list.append(_red) |
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print('高概率红球推荐:') |
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print(', '.join(sorted(_red_forecast_list[0:6]))) |
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# 产生随机数 |
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red_index_list = get_random_index() |
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_random_red = [] |
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for index in red_index_list: |
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_random_red.append(_red_forecast_list[index]) |
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_random_red = sorted(_random_red) |
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print('随机红球推荐:') |
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print(', '.join(_random_red)) |
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return _red_forecast_dict, _red_forecast_list, _random_red |
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def get_last_date_id(): |
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conn = pymysql.connect(**db) |
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curser = conn.cursor(DictCursor) |
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curser.execute("SELECT * FROM history ORDER BY id DESC LIMIT 1") |
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_data = curser.fetchone() |
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# print(all_data) |
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return _data['dateId'] |
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def update_red_forecast_db(): |
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all_data = get_all_data() |
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red_data = get_all_red() |
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red_data_dict = get_all_red_with_id() |
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red_forecast_dict, red_forecast_list, random_red = get_red_forecast(all_data, red_data_dict, red_data) |
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date_id = all_data[-1]['dateId'] |
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params = 1 |
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red_rate = json.dumps(red_forecast_dict) |
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conn = pymysql.connect(**db) |
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curser = conn.cursor(DictCursor) |
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last_date_id = get_last_date_id() |
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curser.execute("SELECT * FROM lottery.red_forecast WHERE dateId = %s", (last_date_id,)) |
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have_duplicate = False if len(curser.fetchall()) == 0 else True |
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if not have_duplicate: |
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curser.execute( |
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"INSERT INTO lottery.red_forecast (`dateId`, `params`, `red_rate`, `red_suggest`) VALUES (%s, %s, %s, %s)", |
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(date_id, params, red_rate, json.dumps(random_red))) |
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conn.commit() |
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curser.close() |
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else: |
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print('数据库中有重复记录,无需重复插入') |
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def get_random_index(): |
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# 产生随机数 |
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random_small, random_middle, random_big = 0, 0, 0 |
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while random_middle <= 0: |
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random_big = random.randint(1, 3) |
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random_small = random.randint(1, 2) |
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random_middle = 6 - random_small - random_big |
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# print(random_small, random_middle, random_big) |
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small_red_index_list = [n[0] - 1 for n in new_num(11, random_small)[0:random_small]] |
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middle_red_index_list = [n[0] - 1 + 10 for n in new_num(11, random_middle)[0:random_middle]] |
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big_red_index_list = [n[0] - 1 + 20 for n in new_num(11, random_big)[0:random_big]] |
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red_index_list = sorted(small_red_index_list + middle_red_index_list + big_red_index_list) |
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# print(red_index_list) |
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return red_index_list |
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if __name__ == "__main__": |
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# 实现获取含有这个数的下一期或几期中数字的概率 |
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# 实现获取含有所以数据的总出现概率 |
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update_red_forecast_db()
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