handling request based on connection
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40
firm.py
40
firm.py
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@ -107,15 +107,37 @@ class FirmAgent(ap.Agent):
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self.accept_request(lst_firm[0], product)
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elif len(lst_firm) > 1:
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# handling based on connection
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# TBC
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# handling based on size
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lst_firm_size = [firm.revenue_log for firm in lst_firm]
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lst_prob = [
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size / sum(lst_firm_size) for size in lst_firm_size
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]
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select_customer = self.model.nprandom.choice(lst_firm,
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p=lst_prob)
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self.accept_request(select_customer, product)
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lst_firm_connect = []
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for firm in lst_firm:
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out_edges = self.model.firm_network.graph.out_edges(
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self.model.firm_network.positions[firm], keys=True)
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in_edges = self.model.firm_network.graph.in_edges(
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self.model.firm_network.positions[firm], keys=True)
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lst_adj_firm = []
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lst_adj_firm += [ap.AgentIter(self.model, edge[1]).to_list()[0].code for edge in out_edges]
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lst_adj_firm += [ap.AgentIter(self.model, edge[0]).to_list()[0].code for edge in in_edges]
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if self.code in lst_adj_firm:
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lst_firm_connect += firm
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if len(lst_firm_connect) == 0:
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# handling based on size
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lst_firm_size = [firm.revenue_log for firm in lst_firm]
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lst_prob = [
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size / sum(lst_firm_size) for size in lst_firm_size
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]
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select_customer = self.model.nprandom.choice(lst_firm,
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p=lst_prob)
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self.accept_request(select_customer, product)
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elif len(lst_firm_connect) == 1:
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self.accept_request(lst_firm_connect[0], product)
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elif len(lst_firm_connect) > 1:
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# handling based on size of firm that has connection
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lst_firm_size = [firm.revenue_log for firm in lst_firm_connect]
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lst_prob = [
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size / sum(lst_firm_size) for size in lst_firm_size
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]
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select_customer = self.model.nprandom.choice(lst_firm_connect,
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p=lst_prob)
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self.accept_request(select_customer, product)
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def accept_request(self, down_firm, product):
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lst_firm_size = [
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2
main.py
2
main.py
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@ -37,6 +37,8 @@ if __name__ == '__main__':
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from controller_db import ControllerDB
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controller_db = ControllerDB(args.exp, reset_flag=args.reset)
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# controller_db.reset_db()
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# force drop
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controller_db.reset_db(force_drop=True)
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controller_db.prepare_list_sample()
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4
model.py
4
model.py
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@ -137,10 +137,6 @@ class Model(ap.Model):
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# draw network
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# self.draw_network()
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out_file = open("myfile.json", "w")
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json.dump(nx.adjacency_data(G_Firm), out_file)
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out_file.close()
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def update(self):
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self.a_lst_total_firms.clean_before_time_step()
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# output
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network.png
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network.png
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