import agentpy as ap import math class FirmAgent(ap.Agent): def setup(self, code, name, type_region, revenue_log, a_lst_product): self.firm_network = self.model.firm_network self.product_network = self.model.product_network self.code = code self.name = name self.type_region = type_region self.revenue_log = revenue_log self.a_lst_product = a_lst_product self.dct_prod_capacity = dict.fromkeys(self.a_lst_product) self.a_lst_up_product_removed = ap.AgentList(self.model, []) self.a_lst_product_disrupted = ap.AgentList(self.model, []) self.a_lst_product_removed = ap.AgentList(self.model, []) self.dct_n_trial_up_product_removed = {} self.dct_request_prod_from_firm = {} def remove_edge_to_cus_remove_cus_up_prod(self, remove_product): lst_out_edge = list( self.firm_network.graph.out_edges( self.firm_network.positions[self], keys=True, data='Product')) for n1, n2, key, product_code in lst_out_edge: if product_code == remove_product.code: # remove edge self.firm_network.graph.remove_edge(n1, n2, key) # remove customer up product conditionally customer = ap.AgentIter(self.model, n2).to_list()[0] lst_in_edge = list( self.firm_network.graph.in_edges(n2, keys=True, data='Product')) lst_select_in_edge = [ edge for edge in lst_in_edge if edge[-1] == remove_product.code ] prod_remove = math.exp(-1 * len(lst_select_in_edge)) if self.model.nprandom.choice([True, False], p=[prod_remove, 1 - prod_remove]): print(self.name, remove_product.code, 'affect', customer.name) if remove_product not in \ customer.a_lst_up_product_removed: customer.a_lst_up_product_removed.append( remove_product) customer.dct_n_trial_up_product_removed[ remove_product] = 0 def seek_alt_supply(self): for product in self.a_lst_up_product_removed: print(f"{self.name} seek alt supply for {product.code}") if self.dct_n_trial_up_product_removed[ product] <= self.model.int_n_max_trial: # select a list of candidate firm that has the product candidate_alt_supply = self.model.a_lst_total_firms.select([ product in firm.a_lst_product and product not in firm.a_lst_product_removed for firm in self.model.a_lst_total_firms ]) if not candidate_alt_supply: continue # select based on size lst_prob = [ size / sum(candidate_alt_supply.revenue_log) for size in candidate_alt_supply.revenue_log ] select_alt_supply = self.model.nprandom.choice( candidate_alt_supply, p=lst_prob) print( f"{self.name} selct alt supply for {product.code} from {select_alt_supply.name}" ) assert product in select_alt_supply.a_lst_product, \ f"{select_alt_supply} \ does not produce requested product {product}" if product in select_alt_supply.dct_request_prod_from_firm.\ keys(): select_alt_supply.dct_request_prod_from_firm[ product].append(self) else: select_alt_supply.dct_request_prod_from_firm[product] = [ self ] print( select_alt_supply.name, 'dct_request_prod_from_firm', { key.code: [v.name for v in value] for key, value in select_alt_supply.dct_request_prod_from_firm.items() }) self.dct_n_trial_up_product_removed[product] += 1 def handle_request(self): print(self.name, 'handle_request') 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: # handling based on connection # TBC # handling based on size lst_firm_size = [firm.revenue_log for firm in lst_firm] lst_prob = [ size / sum(lst_firm_size) for size in lst_firm_size ] select_customer = self.model.nprandom.choice(lst_firm, p=lst_prob) self.accept_request(select_customer, product) def accept_request(self, down_firm, product): lst_firm_size = [ firm.revenue_log for firm in self.model.a_lst_total_firms if product in firm.a_lst_product ] prod_accept = self.revenue_log / sum(lst_firm_size) if self.model.nprandom.choice([True, False], p=[prod_accept, 1 - prod_accept]): self.firm_network.graph.add_edges_from([ (self.firm_network.positions[self], self.firm_network.positions[down_firm], { 'Product': product.code }) ]) self.dct_prod_capacity[product] -= 1 self.dct_request_prod_from_firm[product].remove(down_firm) down_firm.a_lst_up_product_removed.remove(product) print( f"{self.name} accept {product.code} request from {down_firm.name}" ) def clean_before_trial(self): self.dct_request_prod_from_firm = {} def clean_before_time_step(self): self.dct_n_trial_up_product_removed = {} self.a_lst_up_product_removed = ap.AgentList(self.model, [])