写了点红球代码

orm/blue_forecast.py

@@ -1,10 +1,11 @@
+import json
 from db import *
 from util import *
 
 
 # 获取全部数据
 def get_all_data():
-    return db_get_all_data()
+    return db_history_get_all_data()
 
 
 # 获取所有篮球的统计数据
@@ -55,7 +56,7 @@ def get_all_post_id_list(_all_data, _blue_id_list, _num):
 
 # 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_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():
@@ -65,18 +66,6 @@ def get_blue_statistics(_prv_blue_id_list):
     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 = []
@@ -88,20 +77,17 @@ def get_blue_id_list_by_blue(_all_data, _last_blue):
 
 # 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
     """
+    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
@@ -110,7 +96,6 @@ def get_blue_forecast(_all_data, _method, _num):
         _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
@@ -118,20 +103,44 @@ def get_blue_forecast(_all_data, _method, _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 print_blue_data(_history, _prv_five, _post_five, _prv_three, _post_three):
+    _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())
+    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]}]")
+
+
 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)
+    prv_three = get_blue_forecast(get_all_data(), 'prv', 3)
     post_three = get_blue_forecast(get_all_data(), 'post', 3)
-    print(history_total)
+    insert_blue_data(all_data, json.dumps(history_total), json.dumps(prv_five), json.dumps(post_five), 5)
-    print(prv_five)
+    insert_blue_data(all_data, json.dumps(history_total), json.dumps(prv_three), json.dumps(post_three), 3)
-    print(prv_three)
+    print_blue_data(history_total, prv_five, post_five, prv_three, post_three)
-    print(post_five)
-    print(post_three)

orm/db.py

@@ -1,7 +1,9 @@
+import json
+
 from orm_db import History, BlueForecastFiveAll, BlueForecastThreeAll, RedForecastAll
 from sqlalchemy import engine
 from sqlalchemy.orm import sessionmaker, declarative_base
-from sqlalchemy import select, desc, asc
+from sqlalchemy import select, insert, desc, asc
 
 # from sqlalchemy import Column, Integer, String, DATE
 
@@ -11,7 +13,7 @@ db_engine = engine.create_engine(DB_URI, echo=False)
 db_session = sessionmaker(bind=db_engine)()
 
 
-def db_get_last_data():
+def db_history_get_last_data():
     try:
         get_last_data_stmt = select(History).order_by(desc('id')).limit(1)
         last_data_result = db_session.execute(get_last_data_stmt).scalar()
@@ -21,7 +23,7 @@ def db_get_last_data():
         return False
 
 
-def db_get_all_data():
+def db_history_get_all_data():
     try:
         get_all_data_stmt = select(History).order_by(asc(History.id))
         all_data_result = db_session.execute(get_all_data_stmt).scalars()
@@ -31,7 +33,7 @@ def db_get_all_data():
         return False
 
 
-def db_get_data_by_date_id(_date_id):
+def db_history_get_data_by_date_id(_date_id):
     try:
         get_by_open_date_stmt = select(History).where(History.dateId == _date_id)
         open_date_result = db_session.execute(get_by_open_date_stmt).scalar()
@@ -41,7 +43,7 @@ def db_get_data_by_date_id(_date_id):
         return False
 
 
-def db_get_data_in_ids(_ids):
+def db_history_get_data_in_ids(_ids):
     try:
         get_in_ids_stmt = select(History).where(History.id.in_(_ids))
         ids_result = db_session.execute(get_in_ids_stmt).scalars()
@@ -52,6 +54,40 @@ def db_get_data_in_ids(_ids):
         return False
 
 
+def db_blue_insert(_data, _num):
+    try:
+        if _num == 5:
+            _table = BlueForecastFiveAll
+        elif _num == 3:
+            _table = BlueForecastThreeAll
+        else:
+            print('_num值错误')
+        blue_insert_stmt = insert(_table).values(_data)
+        insert_result = db_session.execute(blue_insert_stmt).rowcount
+        if insert_result > 0:
+            db_session.commit()
+        else:
+            db_session.rollback()
+        return insert_result
+    except Exception as e:
+        print(e)
+
+
+def db_red_index(_mode):
+    try:
+        if _mode == 'last':
+            index_stmt = select(RedForecastAll.last_random_index_group)
+        else:
+            index_stmt = select(RedForecastAll.history_random_index_group)
+        index_result = db_session.execute(index_stmt).scalars()
+        index_result_list = []
+        for index in index_result:
+            index_result_list.append(json.loads(index))
+        return index_result_list
+    except Exception as e:
+        print(e)
+
+
 def history_scalar(_scalar):
     _data = dict()
     _data['id'] = _scalar.id

orm/orm_db.py

@@ -30,11 +30,11 @@ class BlueForecastFiveAll(Base):
     id = Column(Integer, autoincrement=True, primary_key=True)
     dateId = Column(String(20), nullable=False, comment='期号')
     real_blue = Column(String(10), comment='真实的蓝球数据')
-    prv_five = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中往前推5期，计算蓝球出现概率')
+    prv = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中往前推5期，计算蓝球出现概率')
     prv_index = Column(Integer, comment='根据实际结果计算蓝球的index位置')
-    post_five = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中往后推5期，计算蓝球出现概率')
+    post = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中往后推5期，计算蓝球出现概率')
     post_index = Column(Integer, comment='根据实际结果计算蓝球的index位置')
-    history_total = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中计算每个蓝球出现的概率')
+    history = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中计算每个蓝球出现的概率')
     history_index = Column(Integer, comment='历史中的蓝球索引')
 
 
@@ -45,12 +45,12 @@ class BlueForecastThreeAll(Base):
     id = Column(Integer, autoincrement=True, primary_key=True)
     dateId = Column(String(20), nullable=False, comment='期号')
     real_blue = Column(String(10), comment='真实的蓝球数据')
-    prv_three = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中往前推5期，计算蓝球出现概率')
+    prv = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中往前推5期，计算蓝球出现概率')
     prv_index = Column(Integer, comment='根据实际结果计算蓝球的index位置')
-    post_three = Column(String(500), nullable=False,
+    post = Column(String(500), nullable=False,
                         comment='根据当前一期的蓝球，从历史数据中往后推5期，计算蓝球出现概率')
     post_index = Column(Integer, comment='根据实际结果计算蓝球的index位置')
-    history_total = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中计算每个蓝球出现的概率')
+    history = Column(String(500), nullable=False, comment='根据当前一期的蓝球，从历史数据中计算每个蓝球出现的概率')
     history_index = Column(Integer, comment='历史中的蓝球索引')
 
 
@@ -60,10 +60,14 @@ class RedForecastAll(Base):
     # 定义表结构
     id = Column(Integer, autoincrement=True, primary_key=True)
     dateId = Column(String(20), nullable=False, comment='期号-指预测数据根据哪一期数据计算')
-    red_rate = Column(String(500), nullable=False, comment='根据上一期红球结果计算历史中红球的出现概率')
+    history = Column(String(500), nullable=False, comment='历史中红球的出现概率偏差')
-    random_red_num = Column(String(256), comment='随机计算的红球数据')
+    history_random = Column(String(256), comment='根据历史差异随机计算的红球数据')
-    random_red_index = Column(String(256), comment='预测红球数据对应的index')
+    history_random_index = Column(String(256), comment='预测红球数据对应的index')
-    random_red_index_group = Column(String(256), comment='预测红球数据对应的index分布')
+    history_random_index_group = Column(String(256), comment='预测红球数据对应的index分布')
+    last = Column(String(500), nullable=False, comment='根据上一期红球结果计算历史中红球的出现概率')
+    last_random = Column(String(256), comment='随机计算的红球数据')
+    last_random_index = Column(String(256), comment='预测红球数据对应的index')
+    last_random_index_group = Column(String(256), comment='预测红球数据对应的index分布')
     real_red = Column(String(256), comment='下一期的真实的红球数据')
     real_red_index = Column(String(100), comment='真实红球在此次预测中的索引位置')
     real_red_index_group = Column(String(100), comment='真实红球在此次预测中的索引位置的分布')

orm/red_forecast.py

@@ -0,0 +1,107 @@
+import random
+
+from db import *
+from util import *
+import json
+
+
+# 获取所有数据
+def get_all_data():
+    return db_history_get_all_data()
+
+
+# 获取最后一期红球号码
+def get_last_red_data(_all_data):
+    return json.loads(_all_data[-1]['red'])
+
+
+# 获取历史上全部红球出现次数
+def get_all_red(_all_data):
+    _all_red_dict = dict()
+    for _red_list in _all_data:
+        for _red in json.loads(_red_list['red']):
+            if _red in _all_red_dict.keys():
+                _all_red_dict[_red] += 1
+            else:
+                _all_red_dict[_red] = 1
+
+    return _all_red_dict
+
+
+# 获取历史红球的偏差值数据
+def get_all_red_delta(_all_data):
+    return dict_sort(get_analysis_data(get_all_red(_all_data)), 'val', True)
+
+
+def get_all_red_in_last(_all_data):
+    last_red_list = get_last_red_data(_all_data)
+    _include_last_red_next_id_list = []
+    for _data in _all_data:
+        for _red in last_red_list:
+            if _red in json.loads(_data['red']):
+                _include_last_red_next_id_list.append(_data['id'] + 1)
+                break
+    _last_red_dict = dict()
+    for _data in db_history_get_data_in_ids(_include_last_red_next_id_list):
+        for _red in json.loads(_data['red']):
+            if _red in json.loads(_data['red']):
+                if _red in _last_red_dict.keys():
+                    _last_red_dict[_red] += 1
+                else:
+                    _last_red_dict[_red] = 1
+    return _last_red_dict
+
+
+def get_last_red_delta(_last_red):
+    return dict_sort(get_analysis_data(_last_red), 'val', True)
+
+
+def get_random_index():
+    # 产生随机数
+    random_high, random_middle, random_low = -1, -1, -1
+    while random_high < 0 or random_middle < 0 or random_low < 0:
+        random_high = random.randint(0, 2)
+        random_low = random.randint(1, 6 - random_high)
+        random_middle = 6 - random_high - random_low
+        print('分布区间（高概率区，中概率区，低概率区）：', random_high, random_middle, random_low)
+    high_red_index_list = [(n[0] - 1) for n in new_num(1, 11, random_high)[0:random_high]]
+    middle_red_index_list = [(n[0] - 1) for n in new_num(12, 22, random_middle)[0:random_middle]]
+    low_red_index_list = [(n[0] - 1) for n in new_num(23, 33, random_low)[0:random_low]]
+    print(high_red_index_list)
+    print(middle_red_index_list)
+    print(low_red_index_list)
+    red_index_list = sorted(high_red_index_list + middle_red_index_list + low_red_index_list)
+    print(f"排序后结果")
+    print(red_index_list)
+    return red_index_list
+
+
+def get_index_from_db(_mode):
+    index_list = db_red_index(_mode)
+
+
+def get_forecast_red(_red_data):
+    index_list = get_random_index()
+    forecast_red_list = []
+    _red_data_list = list(_red_data.items())
+    for i in index_list:
+        forecast_red_list.append(_red_data_list[i][0])
+    forecast_red_list = sorted(forecast_red_list)
+    print('随机红球推荐：')
+    print(forecast_red_list)
+    return forecast_red_list
+
+
+def get_forecast_red_by_db_index(_red_data, _mode='history'):
+    pass
+
+
+if __name__ == "__main__":
+    all_data = get_all_data()
+    all_red_delta = get_all_red_delta(all_data)
+    # print(all_red_delta)
+    last_red_delta = get_last_red_delta(get_all_red_in_last(all_data))
+    # print(last_red_delta)
+    print_data([all_red_delta, last_red_delta])
+    forecast_red_history = get_forecast_red(all_red_delta)
+    forecast_red_last = get_forecast_red(last_red_delta)

orm/util.py

@@ -1,3 +1,7 @@
+import numpy
+
+
+# 字典排序
 def dict_sort(_dict, _sort_by='key', _reverse=False):
     if _sort_by == 'key':
         _result = sorted(_dict.items(), key=lambda x: x[0], reverse=_reverse)
@@ -8,3 +12,50 @@ def dict_sort(_dict, _sort_by='key', _reverse=False):
     for r in _result:
         _result_dict[r[0]] = r[1]
     return _result_dict
+
+
+# 计算偏差值
+def get_analysis_data(_raw_dict):
+    total = 0
+    for _num in _raw_dict.values():
+        total += _num
+    average = total / len(_raw_dict.keys())
+    _delta_dict = dict()
+    for _key, _val in _raw_dict.items():
+        _delta_dict[_key] = round(_raw_dict[_key] - average, 2)
+    return _delta_dict
+
+
+def print_data(_data_list):
+    new_data_list = [list(d.items()) for d in _data_list]
+    for i in range(len(new_data_list[0])):
+        print_str = f""
+        for data in new_data_list:
+            print_str += f"{data[i][0]}  [{data[i][1]}]\t"
+        print(print_str)
+
+
+def new_num(min_num, max_num, random_num):
+    num = {}
+
+    d = [i for i in range(min_num, max_num + 1)]
+
+    n = 100000
+    while n > 0:
+        result = numpy.random.choice(d, random_num, replace=False)
+        # print(sorted(r))
+        for r in result:
+            if r in num.keys():
+                num[r] += 1
+            else:
+                num[r] = 1
+        n -= 1
+
+    sorted_result = sorted(num.items(), key=lambda x: x[0])
+    red_result_dict = {}
+    for item in sorted_result:
+        red_result_dict[item[0]] = item[1]
+    # print(red_result_dict)
+    sorted_result_by_value = sorted(num.items(), key=lambda x: x[1], reverse=True)
+    # print(sorted_result_by_value)
+    return sorted_result_by_value