# -*- encoding: utf-8 -*-
"""
 @Author: packy945
 @FileName: function.py
 @DateTime: 2023/6/6 14:45
 @SoftWare: PyCharm
"""
import numpy as np
import math
import data
import pandas as pd
from pandas import DataFrame
# 函数库
Show = []
Fun = []
Fit_type_library = {}


class Function:
    def __init__(self, no, name, v, fun, complete='', demo=''):
        # 函数名称
        self.name = name
        # 变量个数
        self.variable = v
        self.function = fun # 函数表达式
        # 函数编号
        self.no = no
        # 是否显示
        self.show = 0
        # 完整函数
        self.complete = complete
        # self.print = ''
        self.demo = demo

    def get_fun(self):
        if self.variable == 2:
            return self.fun2
        elif self.variable == 3:    # 以二次函数为例，省略其他函数
            return self.fun3
        elif self.variable == 4:
            return self.fun4
        elif self.variable == 5:
            return self.fun5
        elif self.variable == 6:
            return self.fun6

    def fun2(self, x, a0, a1):
        return eval(self.function)

    def fun3(self, x, a0, a1, a2):
        return eval(self.function)

    def fun4(self, x, a0, a1, a2, a3):
        return eval(self.function)

    def fun5(self, x, a0, a1, a2, a3, a4):
        return eval(self.function)

    def fun6(self, x, a0, a1, a2, a3, a4, a5):
        return eval(self.function)

    def print_f(self, a):
        # print('self.show='+self.complete)
        exec('self.show='+self.complete)
        # print(self.show)
        return self.show


# def f_init():
#     cur = 0 # 函数编号
#     # 一次函数
#     newfun = Function(cur, '一次函数', 2, 'a0*x+a1', "f'{a[0]}x+{a[1]}'", 'ax+b')
#     newfun.show = 1
#     Fun.append(newfun)
#     cur += 1
#     # 二次函数
#     newfun = Function(cur, '二次函数', 3, 'a0*x*x+a1*x+a2', "f'{a[0]}x^2+{a[1]}x+{a[2]}'", 'ax^2+bx+c')
#     newfun.show = 1
#     Fun.append(newfun)
#     cur += 1
#     # 三次函数
#     newfun = Function(cur, '三次函数', 4, 'a0*x*x*x+a1*x*x+a2*x+a3', "f'{a[0]}x^3+{a[1]}x^2+{a[2]}x+{a[3]}'", 'ax^3+bx^2+cx+d')
#     newfun.show = 0
#     Fun.append(newfun)
#     cur += 1
#     # 四次函数
#     newfun = Function(cur, '四次函数', 5, 'a0*x*x*x*x+a1*x*x*x+a2*x*x+a3*x+a4'
#                       , "f'{a[0]}x^4+{a[1]}x^3+{a[2]}x^2+{a[3]}x+{a[4]}'", 'ax^4+bx^3+cx^2+dx+e')
#     newfun.show = 0
#     Fun.append(newfun)
#     cur += 1
#     # 指数函数
#     newfun = Function(cur, '指数函数', 2, 'a0*np.exp(0.01*x)+a1', "f'{a[0]}e^(0.01x)+{a[1]}'", 'a*e^(0.01x)+b')
#     newfun.show = 0
#     Fun.append(newfun)
#     cur += 1
#     # 对数函数
#     newfun = Function(cur, '对数函数', 3, 'a0*(np.log(x) + 1e-5) / (np.log(a1) + 1e-5) + a2',
#                       "f'{a[0]}log(x,{a[1]})+{a[2]}'", 'alog(x,b)+c')
#     newfun.show = 0
#     Fun.append(newfun)
#     cur += 1
#     # 高斯函数


# F_init()
def write():
    file_path = 'functions.xlsx'#设置路径
    df = pd.read_excel(io=file_path, header=1)#设置表格
    print(df)
    df.columns = ['no', 'name', 'variable', 'function', 'complete', 'demo', 'show']#设置表格标题
    cur = 0#重置计数
    for f in Fun:#遍历函数类型
        df.loc[cur] = [cur, f.name, f.variable, f.function, f.complete, f.demo, f.show]#写进表格
        cur += 1#计数加一
    DataFrame(df).to_excel(file_path, sheet_name='Sheet1', index=False, header=True)#保存xlsx


def f_read():
    file_path = 'functions.xlsx'#设置路径
    df = pd.read_excel(io=file_path, header=0)#设置表格
    cur = 0
    for i in range(len(df)):#逐行读取excel
        newfun = Function(df.loc[i][0], df.loc[i][1], df.loc[i][2], df.loc[i][3], df.loc[i][4], df.loc[i][5])
        newfun.show = df.loc[i][6]
        Show.append(df.loc[i][6])#读取函数显示信息
        Fun.append(newfun)#读取函数信息并添加
        cur += 1
    for f in Fun:#建立简表fit_type_library
        Fit_type_library[f.name] = [f.no, f.demo, f.name]

if __name__ == '__main__':

    f_read()
    # for f in fun:
    #     print([f.no, f.demo, f.name])
    for f in Fun:
        Fit_type_library[f.name] = [f.no, f.demo, f.name]

    print("Fun",Fun)

    print(Fit_type_library)
    a = [1,2,3,4,5]
    x = 2
    pass