model firm product
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parent
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{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python: Current File",
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"type": "python",
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"request": "launch",
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"program": "C:\\Users\\25759\\OneDrive\\Project\\ScrAbm\\Dissertation\\IIabm\\model.py",
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"console": "integratedTerminal",
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"justMyCode": true
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}
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]
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}
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106
firm.py
106
firm.py
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@ -2,21 +2,107 @@ import agentpy as ap
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class FirmAgent(ap.Agent):
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def setup(self, code, name, type_region, revenue_log, list_product,
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capacity):
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def setup(self, code, name, type_region, revenue_log, a_list_product):
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self.firm_network = self.model.firm_network
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self.product_network = self.model.product_network
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self.code = code
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self.name = name
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self.type_region = type_region
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self.revenue_log = revenue_log
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self.list_product = list_product
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self.capacity = capacity
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self.a_list_product = a_list_product
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self.dct_prod_capacity = dict.fromkeys(self.a_list_product)
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self.dct_product_is_disrupted = dict.fromkeys(list_product, False)
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self.dct_product_is_removed = dict.fromkeys(list_product, False)
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self.a_list_up_product_removed = ap.AgentList(self.model, [])
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self.a_list_product_disrupted = ap.AgentList(self.model, [])
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self.a_list_product_removed = ap.AgentList(self.model, [])
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def remove_edge_to_customer_if_removed(self, remove_product):
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t = self.firm_network.graph.out_edges(
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self.firm_network.positions[self], keys=True, data=True)
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print(t)
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self.dct_num_trial_up_product_removed = {}
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self.dct_request_prod_from_firm = {}
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def remove_edge_to_cus_and_cus_up_prod(self, remove_product):
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list_out_edges = list(
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self.firm_network.graph.out_edges(
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self.firm_network.positions[self], keys=True, data='Product'))
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for n1, n2, key, product_code in list_out_edges:
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if product_code == remove_product.code:
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# remove edge
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# print(n1, n2, key, product_code)
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self.firm_network.graph.remove_edge(n1, n2, key)
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# remove customer up product
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customer = ap.AgentIter(self.model, n2).to_list()[0]
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if remove_product not in customer.a_list_up_product_removed:
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customer.a_list_up_product_removed.append(remove_product)
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customer.dct_num_trial_up_product_removed[
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remove_product] = 0
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# # disrupt customer
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# customer = ap.AgentIter(self.model, n2).to_list()[0]
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# for product in customer.a_list_product:
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# if product in remove_product.a_successors():
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# if product not in customer.a_list_product_disrupted:
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# customer.a_list_product_disrupted.append(
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# product)
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# print(customer.a_list_product_disrupted.code)
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def seek_alt_supply(self):
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print(self.name, 'seek_alt_supply')
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for product in self.a_list_up_product_removed:
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if self.dct_num_trial_up_product_removed[
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product] <= self.model.int_n_max_trial:
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candidate_alt_supply = self.model.a_list_total_firms.select([
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product in firm.a_list_product
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for firm in self.model.a_list_total_firms
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])
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# print(candidate_alt_supply)
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# print(candidate_alt_supply.name)
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# print(candidate_alt_supply.a_list_product.code)
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# select based on size
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list_prob = [
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size / sum(candidate_alt_supply.revenue_log)
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for size in candidate_alt_supply.revenue_log
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]
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select_alt_supply = self.model.nprandom.choice(
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candidate_alt_supply, p=list_prob)
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print('select_alt_supply', select_alt_supply.name)
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assert product in select_alt_supply.a_list_product, \
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f"{select_alt_supply} \
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does not produce requested product {product}"
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if product in select_alt_supply.dct_request_prod_from_firm.\
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keys():
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select_alt_supply.dct_request_prod_from_firm[
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product].append(self)
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else:
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select_alt_supply.dct_request_prod_from_firm[product] = [
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self
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]
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print({
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key.code: [v.name for v in value]
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for key, value in
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select_alt_supply.dct_request_prod_from_firm.items()
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})
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self.dct_num_trial_up_product_removed[product] += 1
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def handle_request(self):
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print(self.name, 'handle_request')
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for product, list_firm in self.dct_request_prod_from_firm.items():
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# if self.dct_prod_capacity[product] > 0:
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# if len(list_firm) == 1:
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# self.accept_request(list_firm[0], product)
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print(product.code, [firm.name for firm in list_firm])
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def accept_request(self, down_firm, product):
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self.firm_network.graph.add_edges_from([
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(self.firm_network.positions[self],
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self.firm_network.positions[down_firm], {
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'Product': product.code
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})
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])
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self.dct_prod_capacity[product] -= 1
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self.dct_request_prod_from_firm[product].remove(down_firm)
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down_firm.a_list_up_product_removed.remove(product)
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def clean_before_trial(self):
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self.dct_request_prod_from_firm = {}
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102
model.py
102
model.py
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@ -3,16 +3,19 @@ import pandas as pd
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import numpy as np
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import networkx as nx
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from firm import FirmAgent
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from product import ProductAgent
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sample = 0
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seed = 0
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n_iter = 3
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dct_list_init_remove_firm_prod = {0: ['1.4.4'], 2: ['1.1.3']}
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n_max_trial = 2
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dct_sample_para = {
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'sample': sample,
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'seed': seed,
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'n_iter': n_iter,
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'dct_list_init_remove_firm_prod': dct_list_init_remove_firm_prod
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'n_max_trial': n_max_trial,
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'dct_list_init_remove_firm_prod': dct_list_init_remove_firm_prod,
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}
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@ -20,8 +23,9 @@ class Model(ap.Model):
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def setup(self):
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self.sample = self.p.sample
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self.nprandom = np.random.default_rng(self.p.seed)
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self.dct_list_remove_firm_prod = self.p.dct_list_init_remove_firm_prod
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self.int_n_iter = int(self.p.n_iter)
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self.int_n_max_trial = int(self.p.n_max_trial)
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self.dct_list_remove_firm_prod = self.p.dct_list_init_remove_firm_prod
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# init graph bom
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BomNodes = pd.read_csv('BomNodes.csv', index_col=0)
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@ -85,6 +89,7 @@ class Model(ap.Model):
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# print('-' * 20)
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self.firm_network = ap.Network(self, G_Firm)
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self.product_network = ap.Network(self, G_bom)
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# print([node.label for node in self.firm_network.nodes])
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# print([list(self.firm_network.graph.predecessors(node))
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# for node in self.firm_network.nodes])
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@ -92,6 +97,15 @@ class Model(ap.Model):
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# for node in self.firm_network.nodes])
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# print([v for v in self.firm_network.graph.nodes(data=True)])
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# init product
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for ag_node, attr in self.product_network.graph.nodes(data=True):
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product_agent = ProductAgent(self,
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code=ag_node.label,
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name=attr['Name'])
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self.product_network.add_agents([product_agent], [ag_node])
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self.a_list_total_products = ap.AgentList(self,
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self.product_network.agents)
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# init firm
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for ag_node, attr in self.firm_network.graph.nodes(data=True):
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firm_agent = FirmAgent(
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@ -100,38 +114,56 @@ class Model(ap.Model):
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name=attr['Name'],
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type_region=attr['Type_Region'],
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revenue_log=attr['Revenue_Log'],
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list_product=attr['Product_Code'],
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# init capacity as the degree of out edges
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capacity=self.firm_network.graph.out_degree(ag_node))
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a_list_product=self.a_list_total_products.select([
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code in attr['Product_Code']
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for code in self.a_list_total_products.code
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]))
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# init capacity as the degree of out edges of a specific product
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list_out_edges = list(
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self.firm_network.graph.out_edges(ag_node,
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keys=True,
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data='Product'))
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for product in firm_agent.a_list_product:
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capacity = len([
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edge for edge in list_out_edges if edge[-1] == product.code
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])
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firm_agent.dct_prod_capacity[product] = capacity
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# print(firm_agent.name, firm_agent.dct_prod_capacity)
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self.firm_network.add_agents([firm_agent], [ag_node])
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self.a_list_total_firms = ap.AgentList(self, self.firm_network.agents)
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# print(list(zip(self.a_list_total_firms.code,
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# self.a_list_total_firms.name,
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# self.a_list_total_firms.capacity)))
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# set the initial firm product that are removed
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# init dct_list_remove_firm_prod (from string to agent)
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t_dct = {}
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for firm_code, list_product in self.dct_list_remove_firm_prod.items():
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firm = self.a_list_total_firms.select(
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self.a_list_total_firms.code == firm_code)[0]
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for product in list_product:
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assert product in firm.list_product, \
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f"product {product} not in firm {firm_code}"
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firm.dct_product_is_removed[product] = True
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t_dct[firm] = self.a_list_total_products.select([
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code in list_product
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for code in self.a_list_total_products.code
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])
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self.dct_list_remove_firm_prod = t_dct
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# set the initial firm product that are removed
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for firm, a_list_product in self.dct_list_remove_firm_prod.items():
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for product in a_list_product:
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assert product in firm.a_list_product, \
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f"product {product.code} not in firm {firm.code}"
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firm.a_list_product_removed.append(product)
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def update(self):
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# Update the firm that is removed
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# update the firm that is removed
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self.dct_list_remove_firm_prod = {}
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for firm in self.a_list_total_firms:
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for product, flag in firm.dct_product_is_removed.items():
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if flag is True:
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if firm.code in self.dct_list_remove_firm_prod.keys():
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self.dct_list_remove_firm_prod[firm.code].append(
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product)
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else:
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self.dct_list_remove_firm_prod[firm.code] = [product]
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if len(firm.a_list_product_removed) > 0:
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self.dct_list_remove_firm_prod[
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firm] = firm.a_list_product_removed
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# print(self.dct_list_remove_firm_prod)
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# Stop simulation if reached terminal number of iteration
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# stop simulation if reached terminal number of iteration
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if self.t == self.int_n_iter or len(
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self.dct_list_remove_firm_prod) == 0:
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self.stop()
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@ -141,14 +173,34 @@ class Model(ap.Model):
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dct_key_list = list(self.dct_list_remove_firm_prod.keys())
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self.nprandom.shuffle(dct_key_list)
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self.dct_list_remove_firm_prod = {
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key: self.dct_list_remove_firm_prod[key]
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key: self.dct_list_remove_firm_prod[key].shuffle()
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for key in dct_key_list
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}
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for firm_code, list_product in self.dct_list_remove_firm_prod.items():
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firm = self.a_list_total_firms.select(
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self.a_list_total_firms.code == firm_code)[0]
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for product in list_product:
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firm.remove_edge_to_customer_if_removed(product)
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# print(self.dct_list_remove_firm_prod)
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# remove_edge_to_cus_and_cus_up_prod
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for firm, a_list_product in self.dct_list_remove_firm_prod.items():
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for product in a_list_product:
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firm.remove_edge_to_cus_and_cus_up_prod(product)
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for n_trial in range(self.int_n_max_trial):
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print('='*20, n_trial, '='*20)
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# seek_alt_supply
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for firm in self.a_list_total_firms:
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if len(firm.a_list_up_product_removed) > 0:
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# print(firm.name)
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# print(firm.a_list_up_product_removed.code)
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firm.seek_alt_supply()
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# handle_request
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for firm in self.a_list_total_firms:
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if len(firm.dct_request_prod_from_firm) > 0:
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firm.handle_request()
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# reset dct_request_prod_from_firm
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self.a_list_total_firms.clean_before_trial()
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# do not use:
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# self.a_list_total_firms.dct_request_prod_from_firm = {} why?
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def end(self):
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pass
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@ -0,0 +1,16 @@
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import agentpy as ap
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class ProductAgent(ap.Agent):
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def setup(self, code, name):
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self.product_network = self.model.product_network
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self.code = code
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self.name = name
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def a_successors(self):
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nodes = self.product_network.graph.successors(
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self.product_network.positions[self])
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return ap.AgentList(
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self.model,
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[ap.AgentIter(self.model, node).to_list()[0] for node in nodes])
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@ -0,0 +1,38 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "bcdafc093860683ffb58d6956591562b7f8ed5d58147d17d71a5d4d6605a08df"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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