92 lines
3.1 KiB
Python
92 lines
3.1 KiB
Python
import agentpy as ap
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from random import uniform
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from worker import WorkerAgent
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from firm import FirmAgent
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class Env(ap.Model):
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float_market_size: float
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percent_rh: float
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percent_search: float
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n_worker: int
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n_firm: int
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e_revenue: float
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a_lst_worker: ap.AgentList
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a_lst_firm: ap.AgentList
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def setup(self):
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# 工作人员、企业数量、搜寻企业数量赋值
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self.n_worker = self.p.n_worker
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self.n_firm = self.p.n_firm
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self.percent_search = self.p.percent_search
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# 工人、企业列表
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self.a_lst_worker = ap.AgentList(self)
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self.a_lst_firm = ap.AgentList(self)
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self.e_revenue = 119.3
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# 在工人列表中添加工人
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for i in range(self.n_worker):
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# 初始化 workeragent，并把alpha属性传过去
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w = WorkerAgent(self, self.p.alpha)
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self.a_lst_worker.append(w)
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# 在企业列表中添加企业，放入一个is_RH_ratio, 即有多大比例的企业是属于RH类型的
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for i in range(self.n_firm):
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# 对于企业属性true or false 的判断， 影响到firm 板块下， self.s_IsRH = is_RH 语句的判断
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f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1))
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self.a_lst_firm.append(f)
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def update_e_revenue(self):
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self.e_revenue += 0.01 * self.e_revenue
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def step(self):
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self.update_e_revenue()
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# 先清空每次的选择列表
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self.a_lst_firm.empty_apply()
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# 一开始worker要去选择很多firm
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self.a_lst_worker.select_firm()
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# 第二步， firm 去选 worker
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self.a_lst_firm.select_worker()
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if self.t == 100:
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self.stop()
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pass
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def provide_lst_random_firms(self, the_worker: WorkerAgent):
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'''选择企业数量 = 企业总数*百分比
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选择企业的列表 = 随机选择的企业的个数
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如果员工处于被雇佣的状态：
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如果员工工作的企业在随机选定的企业列表中：
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打开列表中的企业
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移除该企业
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返回值：移除后，再重新选择随机选择企业
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否则：
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返回值：选择企业列表
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'''
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n_select_firms = int(self.percent_search * self.n_firm)
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a_lst_select_firms = self.a_lst_firm.random(n_select_firms)
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if the_worker.s_is_hired:
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if the_worker.working_firm in a_lst_select_firms:
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# 转换为 list
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lst_f = list(self.a_lst_firm)
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lst_f.remove(the_worker.working_firm)
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return ap.AgentList(self, lst_f).random(n_select_firms)
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# 假如以上都不满足， 直接返回
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return ap.AgentList(self, a_lst_select_firms)
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if __name__ == '__main__':
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dict_para = {'n_worker': 100,
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'n_firm': 20,
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'percent_search': 0.2,
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'alpha': 0.5,
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'is_RH_ratio': 0.5}
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my_model = Env(dict_para)
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my_model.run()
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