from mesa import Agent import numpy as np class FirmAgent(Agent): def __init__(self, unique_id, model, type_region, revenue_log, a_lst_product): # 调用超类的 __init__ 方法 super().__init__(unique_id, model) # 初始化模型中的网络引用 self.firm_network = self.model.firm_network self.product_network = self.model.product_network # 初始化代理自身的属性 self.type_region = type_region self.size_stat = [] self.dct_prod_up_prod_stat = {} self.dct_prod_capacity = {} # 试验中的参数 self.dct_n_trial_up_prod_disrupted = {} self.dct_cand_alt_supp_up_prod_disrupted = {} self.dct_request_prod_from_firm = {} # 外部变量 self.is_prf_size = self.model.is_prf_size self.is_prf_conn = bool(self.model.prf_conn) self.str_cap_limit_prob_type = str(self.model.cap_limit_prob_type) self.flt_cap_limit_level = float(self.model.cap_limit_level) self.flt_diff_new_conn = float(self.model.diff_new_conn) # 初始化 size_stat self.size_stat.append((revenue_log, 0)) # 初始化 dct_prod_up_prod_stat for prod in a_lst_product: self.dct_prod_up_prod_stat[prod] = { 'p_stat': [('N', 0)], 's_stat': {up_prod: {'stat': True, 'set_disrupt_firm': set()} for up_prod in prod.a_predecessors()} } # 初始化额外容量 (dct_prod_capacity) for product in a_lst_product: assert self.str_cap_limit_prob_type in ['uniform', 'normal'], \ "cap_limit_prob_type must be either 'uniform' or 'normal'" extra_cap_mean = self.size_stat[0][0] / self.flt_cap_limit_level if self.str_cap_limit_prob_type == 'uniform': extra_cap = self.model.random.uniform(extra_cap_mean - 2, extra_cap_mean + 2) extra_cap = 0 if round(extra_cap) < 0 else round(extra_cap) elif self.str_cap_limit_prob_type == 'normal': extra_cap = self.model.random.normalvariate(extra_cap_mean, 1) extra_cap = 0 if round(extra_cap) < 0 else round(extra_cap) self.dct_prod_capacity[product] = extra_cap def remove_edge_to_cus(self, disrupted_prod): lst_out_edge = list( self.firm_network.neighbors(self.unique_id)) for n2 in lst_out_edge: edge_data = self.firm_network.edges[self.unique_id, n2] if edge_data.get('Product') == disrupted_prod.code: customer = self.model.schedule.get_agent(n2) for prod in customer.dct_prod_up_prod_stat.keys(): if disrupted_prod in customer.dct_prod_up_prod_stat[prod]['s_stat'].keys(): customer.dct_prod_up_prod_stat[prod]['s_stat'][disrupted_prod][ 'set_disrupt_firm'].add(self) self.firm_network.remove_edge(self.unique_id, n2) def disrupt_cus_prod(self, prod, disrupted_up_prod): num_lost = len(self.dct_prod_up_prod_stat[prod]['s_stat'][disrupted_up_prod]['set_disrupt_firm']) num_remain = len([ u for u in self.firm_network.neighbors(self.unique_id) if self.firm_network.G.edges[u, self.unique_id].get('Product') == disrupted_up_prod.code]) lost_percent = num_lost / (num_lost + num_remain) lst_size = [firm.size_stat[-1][0] for firm in self.model.schedule.agents] std_size = (self.size_stat[-1][0] - min(lst_size) + 1) / (max(lst_size) - min(lst_size) + 1) prob_disrupt = 1 - std_size * (1 - lost_percent) if self.random.choice([True, False], p=[prob_disrupt, 1 - prob_disrupt]): self.dct_n_trial_up_prod_disrupted[disrupted_up_prod] = 0 self.dct_prod_up_prod_stat[prod]['s_stat'][disrupted_up_prod]['stat'] = False status, _ = self.dct_prod_up_prod_stat[prod]['p_stat'][-1] if status != 'D': self.dct_prod_up_prod_stat[prod]['p_stat'].append(('D', self.model.schedule.time)) def seek_alt_supply(self, product): if self.dct_n_trial_up_prod_disrupted[product] <= self.model.int_n_max_trial: if self.dct_n_trial_up_prod_disrupted[product] == 0: self.dct_cand_alt_supp_up_prod_disrupted[product] = [ firm for firm in self.model.schedule.agents if firm.is_prod_in_current_normal(product)] if self.dct_cand_alt_supp_up_prod_disrupted[product]: lst_firm_connect = [] if self.is_prf_conn: for firm in self.dct_cand_alt_supp_up_prod_disrupted[product]: if self.firm_network.G.has_edge(self.unique_id, firm.unique_id) or \ self.firm_network.G.has_edge(firm.unique_id, self.unique_id): lst_firm_connect.append(firm) if len(lst_firm_connect) == 0: if self.is_prf_size: lst_size = [firm.size_stat[-1][0] for firm in self.dct_cand_alt_supp_up_prod_disrupted[product]] lst_prob = [size / sum(lst_size) for size in lst_size] select_alt_supply = \ self.random.choices(self.dct_cand_alt_supp_up_prod_disrupted[product], weights=lst_prob)[0] else: select_alt_supply = self.random.choice(self.dct_cand_alt_supp_up_prod_disrupted[product]) elif len(lst_firm_connect) > 0: if self.is_prf_size: lst_firm_size = [firm.size_stat[-1][0] for firm in lst_firm_connect] lst_prob = [size / sum(lst_firm_size) for size in lst_firm_size] select_alt_supply = self.random.choices(lst_firm_connect, weights=lst_prob)[0] else: select_alt_supply = self.random.choice(lst_firm_connect) assert select_alt_supply.is_prod_in_current_normal(product) if product in select_alt_supply.dct_request_prod_from_firm: select_alt_supply.dct_request_prod_from_firm[product].append(self) else: select_alt_supply.dct_request_prod_from_firm[product] = [self] self.dct_n_trial_up_prod_disrupted[product] += 1 def handle_request(self): for product, lst_firm in self.dct_request_prod_from_firm.items(): if self.dct_prod_capacity[product] > 0: if len(lst_firm) == 0: continue elif len(lst_firm) == 1: self.accept_request(lst_firm[0], product) elif len(lst_firm) > 1: lst_firm_connect = [] if self.is_prf_conn: for firm in lst_firm: if self.firm_network.G.has_edge(self.unique_id, firm.unique_id) or \ self.firm_network.G.has_edge(firm.unique_id, self.unique_id): lst_firm_connect.append(firm) if len(lst_firm_connect) == 0: if self.is_prf_size: lst_firm_size = [firm.size_stat[-1][0] for firm in lst_firm] lst_prob = [size / sum(lst_firm_size) for size in lst_firm_size] select_customer = self.random.choices(lst_firm, weights=lst_prob)[0] else: select_customer = self.random.choice(lst_firm) self.accept_request(select_customer, product) elif len(lst_firm_connect) > 0: if self.is_prf_size: lst_firm_size = [firm.size_stat[-1][0] for firm in lst_firm_connect] lst_prob = [size / sum(lst_firm_size) for size in lst_firm_size] select_customer = self.random.choices(lst_firm_connect, weights=lst_prob)[0] else: select_customer = self.random.choice(lst_firm_connect) self.accept_request(select_customer, product) else: for down_firm in lst_firm: down_firm.dct_cand_alt_supp_up_prod_disrupted[product].remove(self) def accept_request(self, down_firm, product): if self.firm_network.G.has_edge(self.unique_id, down_firm.unique_id) or \ self.firm_network.G.has_edge(down_firm.unique_id, self.unique_id): prod_accept = 1.0 else: prod_accept = self.flt_diff_new_conn if self.random.choice([True, False], p=[prod_accept, 1 - prod_accept]): self.firm_network.G.add_edge(self.unique_id, down_firm.unique_id, Product=product.code) self.dct_prod_capacity[product] -= 1 self.dct_request_prod_from_firm[product].remove(down_firm) for prod in down_firm.dct_prod_up_prod_stat.keys(): if product in down_firm.dct_prod_up_prod_stat[prod]['s_stat']: down_firm.dct_prod_up_prod_stat[prod]['s_stat'][product]['stat'] = True down_firm.dct_prod_up_prod_stat[prod]['p_stat'].append( ('N', self.model.schedule.time)) del down_firm.dct_n_trial_up_prod_disrupted[product] del down_firm.dct_cand_alt_supp_up_prod_disrupted[product] else: down_firm.dct_cand_alt_supp_up_prod_disrupted[product].remove(self) def clean_before_trial(self): self.dct_request_prod_from_firm = {} def clean_before_time_step(self): # Reset the number of trials and candidate suppliers for disrupted products self.dct_n_trial_up_prod_disrupted = dict.fromkeys(self.dct_n_trial_up_prod_disrupted.keys(), 0) self.dct_cand_alt_supp_up_prod_disrupted = {} # Update the status of products and refresh disruption sets for prod in self.dct_prod_up_prod_stat.keys(): status, ts = self.dct_prod_up_prod_stat[prod]['p_stat'][-1] if ts != self.model.schedule.time: self.dct_prod_up_prod_stat[prod]['p_stat'].append((status, self.model.schedule.time)) # Refresh the set of disrupted firms for up_prod in self.dct_prod_up_prod_stat[prod]['s_stat'].keys(): self.dct_prod_up_prod_stat[prod]['s_stat'][up_prod]['set_disrupt_firm'] = set() def step(self): # 在每个时间步进行的操作 pass