salary02/firm.py

import math
from typing import Union, Any

import agentpy as ap
from random import uniform, randint

from typing import TYPE_CHECKING

import numpy as np

if TYPE_CHECKING:
    from worker import WorkerAgent


class FirmAgent(ap.Agent):
    c_incentive: float
    s_IsRH: bool
    s_avg_senior_yield: float
    s_avg_junior_yield: float
    s_a_yield: float
    # s_salary: float
    initial_f_salary: float
    s_revenue: float
    s_profit: float
    l_senior_workers: list
    l_junior_workers: list
    l_applied_workers: list

    def setup(self, is_RH):
        self.c_incentive = uniform(0, 1)
        # self.s_profit = randint(10, 20)
        self.l_applied_workers = []
        self.s_IsRH = is_RH
        self.initial_f_salary = randint(8000, 10000)

    def apply(self, the_worker):
        self.l_applied_workers.append(the_worker)

    def empty_apply(self):
        self.l_applied_workers = []

    def select_worker(self):
        '''
        企业找到最想招聘的员工
        :return:
        '''
        n_workers = len(self.l_applied_workers)
        if n_workers > 0:
            selected_worker = None
            if n_workers > 1:
                # 对员工产出进行排队和比较
                # 先判断是什么选择方式
                if self.s_IsRH:
                    max_s_yield, best_worker = 0.0, None
                    for the_worker in self.l_applied_workers:
                        if the_worker.s_yield > max_s_yield:
                            max_s_yield = the_worker.s_yield
                            best_worker = the_worker
                    selected_worker = best_worker
                else:
                    selected_worker = self.l_applied_workers[0]  # TODO
            # print(f'{self}: my best firm is {best_firm} from {n_firms} firms with utility {max_utility}')
            # return best_worker
            # 当企业是想要利用产出最高的员工时，从申请的员工中选出产出最高的员工
            # if self.s_IsRH :
            # #     计算该名员工的工资水平： 原有工资水平* （1+incentive）
            #     # bw_salary = self.best_worker.salary()
            #
            #     # 将该名员工的产出与公司原有员工的产出进行对比，如果高于senior列表中的最后一名的产出，就进入senior_list, 否则进入junior_list
            #         self.l_senior_workers.append(best_worker)
            #     else:
            #         self.l_junior_workers.append(best_worker)
            #     # best_worker.apply(self)
            # else:
            #     # 计算由于改名员工下一期的薪资总数（根据薪资函数更新）以及企业下一期的利润的差值，并选出最大值
            else:
                selected_worker = self.l_applied_workers[0]
            selected_worker.update_working_firm_is_hired(self)
            self.update_two_worker_list(selected_worker)

    def update_two_worker_list(self, new_worker):
        lst_all_worker = self.l_senior_workers + self.l_junior_workers + [new_worker]
        lst_sorted = lst_all_worker.sort(key=lambda x: x['s_yield'], reverse=True)  # from highest yield to lowest
        n_all_worker = len(lst_all_worker)
        # 向上取整数值
        n_senior_worker = math.ceil(n_all_worker * 0.2)
        n_junior_worker = n_all_worker - n_senior_worker
        self.l_senior_workers = lst_sorted[:n_senior_worker]
        if n_junior_worker == 0:
            self.l_junior_workers = []
        else:
            self.l_junior_workers = lst_sorted[n_senior_worker:]

    def update_yields(self):  # 需要改
        n_sw, n_jw = len(self.l_senior_workers), len(self.l_junior_workers)
        # acc_all_yield = 0

        if n_sw == 0:
            self.s_avg_senior_yield = 0
        else:
            s_acc_senior_yield = 0
            for sw in self.l_senior_workers:
                # 加入工人主体的产出属性
                s_acc_senior_yield += sw.s_yield
                # acc_all_yield += sw.s_yield
            self.s_avg_senior_yield = s_acc_senior_yield / n_sw

        if n_jw == 0:
            self.s_avg_junior_yield = 0
        else:
            s_acc_junior_yield = 0
            for jw in self.l_junior_workers:
                # 加入工人主体的产出属性
                s_acc_junior_yield += jw.s_yield
            self.s_avg_junior_yield = s_acc_junior_yield / n_jw
        self.s_a_yield = 0.8 * self.s_avg_senior_yield + 0.2 * self.s_avg_junior_yield

    def logit_share(self):
        logit_share = math.exp(self.s_a_yield) / np.sum(math.exp(self.s_a_yield))
        return logit_share

    def sum_salary(self, l_senior_workers, l_junior_workers):
        '''
       计算某公司整体的薪金水平
        '''
        l_all_workers = l_senior_workers + l_junior_workers
        sum_salary = self.salary
        for the_worker in l_all_workers:
            sum_salary += the_worker.salary
            return

    def s_profit(self):
        # ?
        self.s_profit = self.logit_share() * self.p.e_revenue - self.sum_salary()
        return

    def step(self):
        pass