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Move graph creation to graph.jl; simplify model.jl
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42
test/graph_test.jl
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42
test/graph_test.jl
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# Copyright (C) 2020 Argonne National Laboratory
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# Written by Alinson Santos Xavier <axavier@anl.gov>
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using ReverseManufacturing
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@testset "Graph" begin
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@testset "build_graph" begin
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basedir = dirname(@__FILE__)
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instance = ReverseManufacturing.load("$basedir/../instances/samples/s1.json")
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graph = ReverseManufacturing.build_graph(instance)
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process_node_by_location_name = Dict(n.plant.location_name => n
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for n in graph.process_nodes)
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@test length(graph.plant_shipping_nodes) == 8
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@test length(graph.collection_shipping_nodes) == 10
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@test length(graph.process_nodes) == 6
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node = graph.collection_shipping_nodes[1]
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@test node.location.name == "C1"
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@test length(node.incoming_arcs) == 0
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@test length(node.outgoing_arcs) == 2
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@test node.outgoing_arcs[1].source.location.name == "C1"
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@test node.outgoing_arcs[1].dest.plant.plant_name == "F1"
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@test node.outgoing_arcs[1].dest.plant.location_name == "L1"
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@test node.outgoing_arcs[1].values["distance"] == 1095.62
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node = process_node_by_location_name["L1"]
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@test node.plant.plant_name == "F1"
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@test node.plant.location_name == "L1"
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@test length(node.incoming_arcs) == 10
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@test length(node.outgoing_arcs) == 2
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node = process_node_by_location_name["L3"]
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@test node.plant.plant_name == "F2"
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@test node.plant.location_name == "L3"
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@test length(node.incoming_arcs) == 2
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@test length(node.outgoing_arcs) == 2
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@test length(graph.arcs) == 38
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end
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end
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@@ -12,11 +12,9 @@ using ReverseManufacturing
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plants = instance.plants
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products = instance.products
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plant_name_to_plant = Dict(p.name => p for p in plants)
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location_name_to_plant = Dict(p.location_name => p for p in plants)
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product_name_to_product = Dict(p.name => p for p in products)
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p2 = product_name_to_product["P2"]
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p3 = product_name_to_product["P3"]
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@test length(centers) == 10
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@test centers[1].name == "C1"
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@@ -28,8 +26,9 @@ using ReverseManufacturing
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@test length(plants) == 6
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plant = plant_name_to_plant["L1"]
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@test plant.name == "L1"
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plant = location_name_to_plant["L1"]
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@test plant.plant_name == "F1"
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@test plant.location_name == "L1"
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@test plant.input.name == "P1"
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@test plant.latitude == 0
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@test plant.longitude == 0
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@@ -40,26 +39,33 @@ using ReverseManufacturing
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@test plant.max_capacity == 1000
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@test plant.expansion_cost == 1
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p2 = product_name_to_product["P2"]
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p3 = product_name_to_product["P3"]
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@test length(plant.output) == 2
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@test plant.output[p2] == 0.2
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@test plant.output[p3] == 0.5
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@test plant.disposal_limit[p2] == 1
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@test plant.disposal_limit[p3] == 1
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@test plant.disposal_cost[p2] == -10
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@test plant.disposal_cost[p3] == -10
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@test length(plant.disposal) == 2
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@test plant.disposal[1].product.name == "P2"
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@test plant.disposal[1].cost == -10
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@test plant.disposal[1].limit == 1
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plant = plant_name_to_plant["L3"]
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@test plant.name == "L3"
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plant = location_name_to_plant["L3"]
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@test plant.location_name == "L3"
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@test plant.input.name == "P2"
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@test plant.latitude == 25
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@test plant.longitude == 65
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@test plant.opening_cost == 3000
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@test plant.fixed_operating_cost == 50
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@test plant.variable_operating_cost == 50
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@test plant.base_capacity == Inf
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@test plant.max_capacity == Inf
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@test plant.base_capacity == 1e8
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@test plant.max_capacity == 1e8
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@test plant.expansion_cost == 0
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p4 = product_name_to_product["P4"]
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@test plant.output[p3] == 0.05
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@test plant.output[p4] == 0.8
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@test plant.disposal_limit[p3] == 0.0
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@test plant.disposal_limit[p4] == 0.0
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end
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end
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@@ -4,61 +4,54 @@
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using ReverseManufacturing, Cbc, JuMP, Printf, JSON
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@testset "Model" begin
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instance = ReverseManufacturing.load("samples/s1")
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model = ReverseManufacturing.build_model(instance, Cbc.Optimizer)
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# Verify nodes
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@test ("P1", "Origin", "C1") in keys(model.shipping_nodes)
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@test ("P1", "Origin", "C3") in keys(model.shipping_nodes)
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@test ("P1", "Origin", "C8") in keys(model.shipping_nodes)
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@test ("P2", "F1", "L1") in keys(model.shipping_nodes)
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@test ("P2", "F1", "L2") in keys(model.shipping_nodes)
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@test ("P3", "F1", "L1") in keys(model.shipping_nodes)
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@test ("P3", "F1", "L2") in keys(model.shipping_nodes)
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@test ("P3", "F2", "L3") in keys(model.shipping_nodes)
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@test ("P3", "F2", "L4") in keys(model.shipping_nodes)
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@test ("P4", "F2", "L3") in keys(model.shipping_nodes)
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@test ("P4", "F2", "L4") in keys(model.shipping_nodes)
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@test ("P1", "F1", "L1") in keys(model.process_nodes)
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@test ("P1", "F1", "L2") in keys(model.process_nodes)
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@test ("P2", "F2", "L3") in keys(model.process_nodes)
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@test ("P2", "F2", "L4") in keys(model.process_nodes)
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@test ("P3", "F4", "L6") in keys(model.process_nodes)
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@test ("P4", "F3", "L5") in keys(model.process_nodes)
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# Verify some arcs
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p1_orig_c1 = model.shipping_nodes["P1", "Origin", "C1"]
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p1_f1_l1 = model.process_nodes["P1", "F1", "L1"]
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@test length(p1_orig_c1.outgoing_arcs) == 2
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@test length(p1_f1_l1.incoming_arcs) == 10
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arc = p1_orig_c1.outgoing_arcs[1]
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@test arc.dest.location_name == "L1"
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@test arc.values["distance"] == 1095.62
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@test round(arc.costs["transportation"], digits=2) == 16.43
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@test arc.costs["variable"] == 30.0
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p2_f1_l1 = model.shipping_nodes["P2", "F1", "L1"]
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p2_f2_l3 = model.process_nodes["P2", "F2", "L3"]
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@test length(p2_f1_l1.incoming_arcs) == 1
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@test length(p2_f1_l1.outgoing_arcs) == 2
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arc = p2_f1_l1.incoming_arcs[1]
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@test arc.values["weight"] == 0.2
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@test isempty(arc.costs)
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@testset "build" begin
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basedir = dirname(@__FILE__)
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instance = ReverseManufacturing.load("$basedir/../instances/samples/s1.json")
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graph = ReverseManufacturing.build_graph(instance)
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model = ReverseManufacturing.build_model(instance, graph, Cbc.Optimizer)
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process_node_by_location_name = Dict(n.plant.location_name => n
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for n in graph.process_nodes)
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shipping_node_by_location_and_product_names = Dict((n.location.location_name, n.product.name) => n
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for n in graph.plant_shipping_nodes)
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@test length(model.vars.flow) == 38
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@test length(model.vars.dispose) == 8
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@test length(model.vars.open_plant) == 6
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@test length(model.vars.capacity) == 6
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@test length(model.vars.expansion) == 6
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l1 = process_node_by_location_name["L1"]
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v = model.vars.capacity[l1]
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@test lower_bound(v) == 0.0
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@test upper_bound(v) == 1000.0
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v = model.vars.expansion[l1]
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@test lower_bound(v) == 0.0
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@test upper_bound(v) == 750.0
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v = model.vars.dispose[shipping_node_by_location_and_product_names["L1", "P2"]]
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@test lower_bound(v) == 0.0
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@test upper_bound(v) == 1.0
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end
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@testset "build" begin
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solution = ReverseManufacturing.solve("$(pwd())/../instances/samples/s1.json")
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# println(JSON.print(solution, 2))
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# @test "plants" in keys(solution)
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# @test "F1" in keys(solution["plants"])
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# @test "F2" in keys(solution["plants"])
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# @test "F3" in keys(solution["plants"])
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# @test "F4" in keys(solution["plants"])
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# @test "L2" in keys(solution["plants"]["F1"])
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# @test "total output" in keys(solution["plants"]["F1"]["L2"])
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# @test "capacity" in keys(solution["plants"]["F1"]["L1"])
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end
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end
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@testset "Solve" begin
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solution = ReverseManufacturing.solve("$(pwd())/../instances/samples/s1.json")
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println(JSON.print(solution, 2))
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@test "plants" in keys(solution)
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@test "F1" in keys(solution["plants"])
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@test "F2" in keys(solution["plants"])
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@test "F3" in keys(solution["plants"])
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@test "F4" in keys(solution["plants"])
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@test "L2" in keys(solution["plants"]["F1"])
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@test "total output" in keys(solution["plants"]["F1"]["L2"])
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@test "capacity" in keys(solution["plants"]["F1"]["L1"])
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end
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@@ -5,5 +5,6 @@ using Test
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@testset "ReverseManufacturing" begin
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include("instance_test.jl")
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#include("model_test.jl")
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include("graph_test.jl")
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include("model_test.jl")
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end
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