import agentpy as ap class FirmAgent(ap.Agent): def setup(self, code, name, type_region, revenue_log, a_list_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_list_product = a_list_product self.dct_prod_capacity = dict.fromkeys(self.a_list_product) self.a_list_up_product_removed = ap.AgentList(self.model, []) self.a_list_product_disrupted = ap.AgentList(self.model, []) self.a_list_product_removed = ap.AgentList(self.model, []) self.dct_num_trial_up_product_removed = {} self.dct_request_prod_from_firm = {} def remove_edge_to_cus_and_cus_up_prod(self, remove_product): list_out_edges = list( self.firm_network.graph.out_edges( self.firm_network.positions[self], keys=True, data='Product')) for n1, n2, key, product_code in list_out_edges: if product_code == remove_product.code: # remove edge # print(n1, n2, key, product_code) self.firm_network.graph.remove_edge(n1, n2, key) # remove customer up product customer = ap.AgentIter(self.model, n2).to_list()[0] if remove_product not in customer.a_list_up_product_removed: customer.a_list_up_product_removed.append(remove_product) customer.dct_num_trial_up_product_removed[ remove_product] = 0 # # disrupt customer # customer = ap.AgentIter(self.model, n2).to_list()[0] # for product in customer.a_list_product: # if product in remove_product.a_successors(): # if product not in customer.a_list_product_disrupted: # customer.a_list_product_disrupted.append( # product) # print(customer.a_list_product_disrupted.code) def seek_alt_supply(self): print(self.name, 'seek_alt_supply') for product in self.a_list_up_product_removed: if self.dct_num_trial_up_product_removed[ product] <= self.model.int_n_max_trial: candidate_alt_supply = self.model.a_list_total_firms.select([ product in firm.a_list_product for firm in self.model.a_list_total_firms ]) # print(candidate_alt_supply) # print(candidate_alt_supply.name) # print(candidate_alt_supply.a_list_product.code) # select based on size list_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=list_prob) print('select_alt_supply', select_alt_supply.name) assert product in select_alt_supply.a_list_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({ key.code: [v.name for v in value] for key, value in select_alt_supply.dct_request_prod_from_firm.items() }) self.dct_num_trial_up_product_removed[product] += 1 def handle_request(self): print(self.name, 'handle_request') for product, list_firm in self.dct_request_prod_from_firm.items(): # if self.dct_prod_capacity[product] > 0: # if len(list_firm) == 1: # self.accept_request(list_firm[0], product) print(product.code, [firm.name for firm in list_firm]) def accept_request(self, down_firm, product): 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_list_up_product_removed.remove(product) def clean_before_trial(self): self.dct_request_prod_from_firm = {}