class Phone:
    IMEI = None # 序列号
    producer = None # 厂商

    __current_voltage = None # 当前电压 私有成员变量

    def call_by_5g(self):
        print("5g通话已开启")
    def __keep_single_core(self):
        print("让CPU以单核模式运行以节省电量") # 私有成员方法

class Phone:
    IMEI = None # 序列号
    producer = None # 厂商
    __current_voltage = None # 当前电压

    def call_by_5g(self):
        print("5g通话已开启")
        def __keep_single_core(self):
            print("让cPU以单核模式运行以节省电量")
phone = Phone() # 创建对象
phone.__keep_single_core() # 使用私有方法

class Phone:
    IMEI = None     # 序列号
    producer = None # 厂商
    __current_voltage = None # 当前电压

    def call_by_5g(self):
        if self.__current_voltage >= 1:
            self._keep_single_core()
            print("5g通话已开启")
        else:
            print("通话失败，电量不足")
    def __keep_single_core(self):
        print("让CPU以单核模式运行以节省电量")

5g关闭，使用4g网络 
正在通话中

class phone:
    IMEI = None # 序列号
    producer = None # 厂商
    def call_by_4g(self):
        print("4g通话")
class phone2022:
    IMEI = None # 序列号
    producer = None # 厂商
    face_id = True # 面部识别

    def call_by_4g(self):
        print("4g通话")

    def call_by_5g(self):
        print("2022最新5g通话")

class phone2022(Phone):
    face_id = True # 面部识别

    def call_by_5g(self):
        print("2022最新5g通话")

class 类名(父类名):
    类内容体

class 类名（父类1,父类2,……,父类N):
    类内容体
class Phone:
    IMEI = None # 序列号
    producer = None # 厂商

def call_by_5g(self):
    print("5g通话")

class NFCReader:
    nfc_type="第五代"
    producer = "HM"

    def read_card(self):
        print("读取NFC卡")

    def write_card(self):
        print("写入NFC卡")

class Remotecontrol:
    rc_type="红外遥控"

    def control(self):
        print("红外遥控开启")
class Myphone(Phone,NFCReader,RemoteControl):
    pass

my_phone = Myphone()
print(my_phone.producer) # 结果为None而非"HM"

class Phone:
    IMEI = None # 序列号
    producer="ITCAST" # 厂商

    def call_by_5g(self):
        print("父类的5g通话")

class MyPhone(Phone):
    proucer = "ITHEIMA" # 复写父类属性

    def call_by_5g(self): # 复写父类方法
        print("子类的5g通话")

class Phone:
    IMEI = None # 序列号
    producer="ITCAST" # 厂商
    def call_by_5g(self):
        print("父类的5g通话")

class MyPhone(Phone):
    proucer = "ITHEIMA"

    def call_by_5g(self):
        # 方式1调用父类成员
        print(f"父类的品牌是：{Phone.producer}")
        Phone.call_by_5g(self)

        # 方式2调用父类成员
        print(f"父类的品牌是：{super().producer}")
        superO.call_by_5g()
        print("子类的5g通话")

#基础数据类型注解
var_1:int = 10
var_2:float = 3.1415926
var3:bool = True
var4:str "itheima"

# 类对象类型注解
class student:
    pass
stu:Student = StudentO

# 基础容器类型注解
my_1ist:1ist=[1,2,3]
my_tuple: tuple = (1,2,3)
my_set:set = {1,2,3}
my_dict:dict = {itheima":666}
my_str:str ="itheima"
# 容器类型详细注解
my_list : list[int] = [1,2,3]
my_tuple : tuple[str,int,bool] = ("itheima",666,True)
my_set : set[int] = {1,2,3}
my_dict : dict[str,int] = {"itheima":666}
# 在注释中进行类型注解
class Student:
    pass
var_1 = random.randint(1,10) # type:int
var_2 = json.loads(data)     # type:dict[str,int]
var_3 = func()               # type:Student

var_1:int = 10
var_2:1ist=[1,2,3]
var_3:dict ={itheima":666}
var_4:student = Student()

class Student:
    pass
var_1:int = random.randint(1,10)
var_2:dict = json.loads(data)
var_3:student = func()

var_1:int "itheima
var2:str 123

def 函数方法名(形参：类型，.....，形参：类型)->返回值类型:
    pass
def add(x:int,y:int)->int
    return x+y
def func(data:list[int])-> list[int]:
    pass

my_list:list[int] = [1,2,3]
my_dict:dict[str,int] = {"age":11,"num":3}
my_list = [1,2,"itcast","itheima"]
my_dict = {"name":"周杰轮","age":31}

from typing import Union
my_list:list[Union[str,int]] = [1,2,"itcast","itheima"]
my_dict:dict[str,Union[str,int]]={"name":"周杰轮","age":31}

my_list:list[Union(int,str)] = [1,2,"itcast","itheima"]
my_dict:dict[str,Union[str,int]] = {"name":"周杰轮","age":31}
def func(data: Union[int,str])-> Union[int,str]:
    pass

"""
数据定义的类
"""


class Record:

    def __init__(self, date, order_id, money, province):
        self.date = date            # 订单日期
        self.order_id = order_id    # 订单ID
        self.money = money          # 订单金额
        self.province = province    # 销售省份


    def __str__(self):
        return f"{self.date}, {self.order_id}, {self.money}, {self.province}"

"""
和文件相关的类定义
"""
import json

from data_define import Record


# 先定义一个抽象类用来做顶层设计，确定有哪些功能需要实现
class FileReader:

    def read_data(self) -> list[Record]:
        """读取文件的数据，读到的每一条数据都转换为Record对象，将它们都封装到list内返回即可"""
        pass


class TextFileReader(FileReader):

    def __init__(self, path):
        self.path = path            # 定义成员变量记录文件的路径

    # 复写（实现抽象方法）父类的方法
    def read_data(self) -> list[Record]:
        f = open(self.path, "r", encoding="UTF-8")

        record_list: list[Record] = []
        for line in f.readlines():
            line = line.strip()     # 消除读取到的每一行数据中的\n
            data_list = line.split(",")
            record = Record(data_list[0], data_list[1], int(data_list[2]), data_list[3])
            record_list.append(record)

        f.close()
        return record_list


class JsonFileReader(FileReader):

    def __init__(self, path):
        self.path = path            # 定义成员变量记录文件的路径


    def read_data(self) -> list[Record]:
        f = open(self.path, "r", encoding="UTF-8")

        record_list: list[Record] = []
        for line in f.readlines():
            data_dict = json.loads(line)
            record = Record(data_dict["date"], data_dict["order_id"], int(data_dict["money"]), data_dict["province"])
            record_list.append(record)

        f.close()
        return record_list


if __name__ == '__main__':
    text_file_reader = TextFileReader("D:/2011年1月销售数据.txt")
    json_file_reader = JsonFileReader("D:/2011年2月销售数据JSON.txt")
    list1 = text_file_reader.read_data()
    list2 = json_file_reader.read_data()

    for l in list1:
        print(l)

    for l in list2:
        print(l)

"""
面向对象，数据分析案例，主业务逻辑代码
实现步骤：
1. 设计一个类，可以完成数据的封装
2. 设计一个抽象类，定义文件读取的相关功能，并使用子类实现具体功能
3. 读取文件，生产数据对象
4. 进行数据需求的逻辑计算（计算每一天的销售额）
5. 通过PyEcharts进行图形绘制
"""
from file_define import FileReader, TextFileReader, JsonFileReader
from data_define import Record
from pyecharts.charts import Bar
from pyecharts.options import *
from pyecharts.globals import ThemeType

text_file_reader = TextFileReader("D:/2011年1月销售数据.txt")
json_file_reader = JsonFileReader("D:/2011年2月销售数据JSON.txt")

jan_data: list[Record] = text_file_reader.read_data()
feb_data: list[Record] = json_file_reader.read_data()
# 将2个月份的数据合并为1个list来存储
all_data: list[Record] = jan_data + feb_data

# 开始进行数据计算
# {"2011-01-01": 1534, "2011-01-02": 300, "2011-01-03": 650}
data_dict = {}
for record in all_data:
    if record.date in data_dict.keys():
        # 当前日期已经有记录了，所以和老记录做累加即可
        data_dict[record.date] += record.money
    else:
        data_dict[record.date] = record.money

# 可视化图表开发
bar = Bar(init_opts=InitOpts(theme=ThemeType.LIGHT))

bar.add_xaxis(list(data_dict.keys()))       # 添加x轴的数据
bar.add_yaxis("销售额", list(data_dict.values()), label_opts=LabelOpts(is_show=False))      # 添加了y轴数据
bar.set_global_opts(
    title_opts=TitleOpts(title="每日销售额")
)

bar.render("每日销售额柱状图.html")