source = 'A'
dest = 'B'
# Define a network model and load interfaces
model1 = PerformanceModel()
model1.add_network_interfaces_from_list(network_interfaces)
print('model1 is type', type(model1))
print()
# Assign lat/lon info to nodes
print('Assigning lat/lon info to nodes')
lat_lon_info = [(180, 20), (30, 40), (120, 50), (35, 67), (77, 88), (45, 56)]
node_names = [node.name for node in model1.node_objects]
counter = 0
for name in node_names:
node = model1.get_node_object(name)
lat, lon = lat_lon_info[counter]
node.lat = lat
node.lon = lon
counter = counter + 1
print()
# create demand objects from list of demands
# demand_objects = Demand.create_demand_objects(demands)
for demand in demands:
model1.add_demand(demand['source'], demand['dest'],
demand['traffic'])
# find the best path from node A to B
best_A_B = model1.get_shortest_path(source, dest)
print("The best path from Node A to Node B is:", best_A_B)
source = "A"
dest = "B"
# Define a network model and load interfaces
model1 = PerformanceModel()
model1.add_network_interfaces_from_list(network_interfaces)
print("model1 is type", type(model1))
print()
# Assign lat/lon info to nodes
print("Assigning lat/lon info to nodes")
lat_lon_info = [(180, 20), (30, 40), (120, 50), (35, 67), (77, 88), (45, 56)]
node_names = [node.name for node in model1.node_objects]
counter = 0
for name in node_names:
node = model1.get_node_object(name)
lat, lon = lat_lon_info[counter]
node.lat = lat
node.lon = lon
counter = counter + 1
print()
# create demand objects from list of demands
# demand_objects = Demand.create_demand_objects(demands)
for demand in demands:
model1.add_demand(demand["source"], demand["dest"], demand["traffic"])
# find the best path from node A to B
best_A_B = model1.get_shortest_path(source, dest)
print("The best path from Node A to Node B is:", best_A_B)
print()
