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