mirror of https://github.com/ANL-CEEESA/RELOG.git
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# 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 CRC
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using CSV
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using DataFrames
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using Shapefile
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using Statistics
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using ZipFile
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crc32 = crc(CRC_32)
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struct GeoPoint
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lat::Float64
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lon::Float64
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end
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DB_CACHE = Dict{String,Dict{String,GeoPoint}}()
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function centroid(geom::Shapefile.Polygon)::GeoPoint
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x_max, x_min, y_max, y_min = -Inf, Inf, -Inf, Inf
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for p in geom.points
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x_max = max(x_max, p.x)
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x_min = min(x_min, p.x)
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y_max = max(y_max, p.y)
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y_min = min(y_min, p.y)
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end
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x_center = (x_max + x_min) / 2.0
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y_center = (y_max + y_min) / 2.0
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return GeoPoint(round(y_center, digits = 5), round(x_center, digits = 5))
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end
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function download_census_gov(url, outputdir, expected_crc32)::Nothing
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if isdir(outputdir)
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return
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end
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mkpath(outputdir)
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@info "Downloading: $url"
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zip_filename = download(url)
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actual_crc32 = open(crc32, zip_filename)
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expected_crc32 == actual_crc32 || error("CRC32 mismatch")
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open(zip_filename) do zip_file
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zr = ZipFile.Reader(zip_file)
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for file in zr.files
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open(joinpath(outputdir, file.name), "w") do output_file
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write(output_file, read(file))
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end
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end
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end
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return
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end
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function load_2018_us_county()::Dict{String,GeoPoint}
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db_name = "2018-us-county"
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basedir = joinpath(dirname(@__FILE__), "..", "..", "data", db_name)
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csv_filename = "$basedir/locations.csv"
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if !isfile(csv_filename)
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download_census_gov(
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"https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_county_500k.zip",
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basedir,
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0x83eaec6d,
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)
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table = Shapefile.Table("$basedir/cb_2018_us_county_500k.shp")
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geoms = Shapefile.shapes(table)
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df = DataFrame(id = String[], latitude = Float64[], longitude = Float64[])
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for (i, geom) in enumerate(geoms)
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c = centroid(geom)
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id = table.STATEFP[i] * table.COUNTYFP[i]
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push!(df, [id, c.lat, c.lon])
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end
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sort!(df)
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@info "Writing: $csv_filename"
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CSV.write(csv_filename, df)
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end
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if db_name ∉ keys(DB_CACHE)
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csv = CSV.File(csv_filename; types = [String, Float64, Float64])
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DB_CACHE[db_name] =
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Dict(row.id => GeoPoint(row.latitude, row.longitude) for row in csv)
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end
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return DB_CACHE[db_name]
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end
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function load_latlon_database(db_name)
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db_name == "2018-us-county" && return load_2018_us_county()
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error("Unknown database: $db_name")
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end
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function geodb_query(name)
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db_name, id = split(name, ":")
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return load_latlon_database(db_name)[id]
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end
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@ -0,0 +1,11 @@
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# 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 RELOG
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@testset "geodb_query (2018-us-county)" begin
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point = RELOG.geodb_query("2018-us-county:17043")
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@test point.lat == 41.83956
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@test point.lon == -88.08857
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end
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