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src/reports/tr.jl

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+# RELOG: Reverse Logistics Optimization
+# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
+# Released under the modified BSD license. See COPYING.md for more details.
+
+using DataFrames
+using CSV
+
+function transportation_report(solution)::DataFrame
+    df = DataFrame()
+    df."source type" = String[]
+    df."source location name" = String[]
+    df."source latitude (deg)" = Float64[]
+    df."source longitude (deg)" = Float64[]
+    df."destination type" = String[]
+    df."destination location name" = String[]
+    df."destination latitude (deg)" = Float64[]
+    df."destination longitude (deg)" = Float64[]
+    df."product" = String[]
+    df."year" = Int[]
+    df."distance (km)" = Float64[]
+    df."amount (tonne)" = Float64[]
+    df."amount-distance (tonne-km)" = Float64[]
+    df."transportation cost (\$)" = Float64[]
+    df."transportation energy (GJ)" = Float64[]
+
+    T = length(solution["Energy"]["Plants (GJ)"])
+    for (dst_plant_name, dst_plant_dict) in solution["Plants"]
+        for (dst_location_name, dst_location_dict) in dst_plant_dict
+            for (src_plant_name, src_plant_dict) in dst_location_dict["Input"]
+                for (src_location_name, src_location_dict) in src_plant_dict
+                    for year = 1:T
+                        push!(
+                            df,
+                            [
+                                src_plant_name,
+                                src_location_name,
+                                round(src_location_dict["Latitude (deg)"], digits = 6),
+                                round(src_location_dict["Longitude (deg)"], digits = 6),
+                                dst_plant_name,
+                                dst_location_name,
+                                round(dst_location_dict["Latitude (deg)"], digits = 6),
+                                round(dst_location_dict["Longitude (deg)"], digits = 6),
+                                dst_location_dict["Input product"],
+                                year,
+                                round(src_location_dict["Distance (km)"], digits = 2),
+                                round(
+                                    src_location_dict["Amount (tonne)"][year],
+                                    digits = 2,
+                                ),
+                                round(
+                                    src_location_dict["Amount (tonne)"][year] *
+                                    src_location_dict["Distance (km)"],
+                                    digits = 2,
+                                ),
+                                round(
+                                    src_location_dict["Transportation cost (\$)"][year],
+                                    digits = 2,
+                                ),
+                                round(
+                                    src_location_dict["Transportation energy (J)"][year] /
+                                    1e9,
+                                    digits = 2,
+                                ),
+                            ],
+                        )
+                    end
+                end
+            end
+        end
+    end
+    return df
+end
+
+write_transportation_report(solution, filename) =
+    CSV.write(filename, transportation_report(solution))