139 lines
5.2 KiB
Python
139 lines
5.2 KiB
Python
import math
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from typing import Union, Any
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import agentpy as ap
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from random import uniform, randint
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from typing import TYPE_CHECKING
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import numpy as np
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if TYPE_CHECKING:
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from worker import WorkerAgent
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class FirmAgent(ap.Agent):
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c_incentive: float
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s_IsRH: bool
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s_avg_senior_yield: float
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s_avg_junior_yield: float
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s_a_yield: float
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# s_salary: float
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initial_f_salary: float
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s_revenue: float
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s_profit: float
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l_senior_workers: list
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l_junior_workers: list
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l_applied_workers: list
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def setup(self, is_RH):
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self.c_incentive = uniform(0, 1)
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# self.s_profit = randint(10, 20)
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self.l_applied_workers = []
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self.s_IsRH = is_RH
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self.initial_f_salary = randint(8000, 10000)
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def apply(self, the_worker):
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self.l_applied_workers.append(the_worker)
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def empty_apply(self):
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self.l_applied_workers = []
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def select_worker(self):
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'''
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企业找到最想招聘的员工
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:return:
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'''
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n_workers = len(self.l_applied_workers)
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if n_workers > 0:
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selected_worker = None
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if n_workers > 1:
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# 对员工产出进行排队和比较
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# 先判断是什么选择方式
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if self.s_IsRH:
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max_s_yield, best_worker = 0.0, None
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for the_worker in self.l_applied_workers:
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if the_worker.s_yield > max_s_yield:
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max_s_yield = the_worker.s_yield
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best_worker = the_worker
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selected_worker = best_worker
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else:
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selected_worker = self.l_applied_workers[0] # TODO
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# print(f'{self}: my best firm is {best_firm} from {n_firms} firms with utility {max_utility}')
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# return best_worker
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# 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
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# if self.s_IsRH :
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# # 计算该名员工的工资水平： 原有工资水平* （1+incentive）
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# # bw_salary = self.best_worker.salary()
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#
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# # 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
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# self.l_senior_workers.append(best_worker)
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# else:
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# self.l_junior_workers.append(best_worker)
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# # best_worker.apply(self)
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# else:
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# # 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
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else:
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selected_worker = self.l_applied_workers[0]
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selected_worker.update_working_firm_is_hired(self)
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self.update_two_worker_list(selected_worker)
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def update_two_worker_list(self, new_worker):
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lst_all_worker = self.l_senior_workers + self.l_junior_workers + [new_worker]
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lst_sorted = lst_all_worker.sort(key=lambda x: x['s_yield'], reverse=True) # from highest yield to lowest
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n_all_worker = len(lst_all_worker)
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# 向上取整数值
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n_senior_worker = math.ceil(n_all_worker * 0.2)
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n_junior_worker = n_all_worker - n_senior_worker
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self.l_senior_workers = lst_sorted[:n_senior_worker]
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if n_junior_worker == 0:
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self.l_junior_workers = []
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else:
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self.l_junior_workers = lst_sorted[n_senior_worker:]
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def update_yields(self): # 需要改
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n_sw, n_jw = len(self.l_senior_workers), len(self.l_junior_workers)
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# acc_all_yield = 0
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if n_sw == 0:
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self.s_avg_senior_yield = 0
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else:
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s_acc_senior_yield = 0
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for sw in self.l_senior_workers:
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# 加入工人主体的产出属性
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s_acc_senior_yield += sw.s_yield
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# acc_all_yield += sw.s_yield
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self.s_avg_senior_yield = s_acc_senior_yield / n_sw
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if n_jw == 0:
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self.s_avg_junior_yield = 0
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else:
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s_acc_junior_yield = 0
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for jw in self.l_junior_workers:
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# 加入工人主体的产出属性
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s_acc_junior_yield += jw.s_yield
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self.s_avg_junior_yield = s_acc_junior_yield / n_jw
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self.s_a_yield = 0.8 * self.s_avg_senior_yield + 0.2 * self.s_avg_junior_yield
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def logit_share(self):
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logit_share = math.exp(self.s_a_yield) / np.sum(math.exp(self.s_a_yield))
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return logit_share
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def sum_salary(self, l_senior_workers, l_junior_workers):
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'''
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计算某公司整体的薪金水平
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'''
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l_all_workers = l_senior_workers + l_junior_workers
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sum_salary = self.salary
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for the_worker in l_all_workers:
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sum_salary += the_worker.salary
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return
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def s_profit(self):
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# ?
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self.s_profit = self.logit_share() * self.p.e_revenue - self.sum_salary()
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return
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def step(self):
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pass
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