Add feature to export points of interest as a CSV file
Max Kannenberg
parent
917a16782d
commit
1a5cf9b822
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@ -8,5 +8,5 @@ settings:
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operationModeMinimumRunningTime: true # operation mode "minimum running time"
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operationModeMinimumEnergyConsumption: false # operation mode "minimum energy consumption"
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typeOfOutput: "julia dictionary" # output as "julia dictionary" or as "CSV"
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detailOfOutput: "driving course" # should the output be "minimal" or "driving course"?
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detailOfOutput: "driving course" # should the output be "minimal", "points of interest" or "driving course"?
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csvDirectory: "~/Desktop/TrainRun"
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@ -11,18 +11,28 @@ function exportToCsv(output::Dict)
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if output[:settings][:operationModeMinimumRunningTime] == true
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operationMode = "minimum running time"
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createCsvFile(output[:movingSectionMinimumRunningTime], output[:drivingCourseMinimumRunningTime], operationMode, pathName, trainName, output[:settings])
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if output[:settings][:detailOfOutput] == "points of interest"
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dataPointsToExport = output[:pointsOfInterestMinimumRunningTime]
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else
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dataPointsToExport = output[:drivingCourseMinimumRunningTime]
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end
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createCsvFile(output[:movingSectionMinimumRunningTime], dataPointsToExport, operationMode, pathName, trainName, output[:settings])
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end
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if output[:settings][:operationModeMinimumEnergyConsumption] == true
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operationMode = "minimum energy consumption"
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createCsvFile(output[:movingSectionMinimumEnergyConsumption], output[:drivingCourseMinimumEnergyConsumption], operationMode, pathName, trainName, output[:settings])
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if output[:settings][:detailOfOutput] == "points of interest"
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dataPointsToExport = output[:pointsOfInterestMinimumEnergyConsumption]
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else
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dataPointsToExport = output[:drivingCourseMinimumEnergyConsumption]
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end
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createCsvFile(output[:movingSectionMinimumEnergyConsumption], dataPointsToExport, operationMode, pathName, trainName, output[:settings])
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end
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return true
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end
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return false
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end #function exportToCsv
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function createCsvFile(movingSection::Dict, drivingCourse::Vector{Dict}, operationMode::String, pathName::String, trainName::String, settings::Dict)
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function createCsvFile(movingSection::Dict, dataPointsToExport::Vector{Dict}, operationMode::String, pathName::String, trainName::String, settings::Dict)
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detailOfOutput = settings[:detailOfOutput]
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massModel = settings[:massModel]
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@ -31,14 +41,14 @@ function createCsvFile(movingSection::Dict, drivingCourse::Vector{Dict}, operati
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# create summarized data block
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summarizedData = Array{Any, 1}[]
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if detailOfOutput=="minimal"
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if detailOfOutput == "minimal"
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push!(summarizedData, ["s (in m)", "t (in s)","E (in Ws)"]) # push header to summarizedData
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row=[movingSection[:length], movingSection[:t], movingSection[:E]]
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row = [movingSection[:length], movingSection[:t], movingSection[:E]]
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push!(summarizedData, row) # push row to summarizedData
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elseif detailOfOutput=="driving course"
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elseif detailOfOutput == "driving course" || detailOfOutput == "points of interest"
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push!(summarizedData, ["i", "behavior", "Δs (in m)", "s (in m)", "Δt (in s)","t (in s)","Δv (in m/s)","v (in m/s)","F_T (in N)","F_R (in N)","R_path (in N)","R_train (in N)","R_traction (in N)","R_wagons (in N)", "ΔW (in Ws)","W (in Ws)","ΔE (in Ws)","E (in Ws)","a (in m/s^2)"]) # push header to summarizedData
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for point in drivingCourse
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row=[point[:i], point[:behavior], point[:Δs], point[:s], point[:Δt], point[:t], point[:Δv], point[:v], point[:F_T], point[:F_R], point[:R_path], point[:R_train], point[:R_traction], point[:R_wagons], point[:ΔW], point[:W], point[:ΔE], point[:E], point[:a]]
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for point in dataPointsToExport
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row = [point[:i], point[:behavior], point[:Δs], point[:s], point[:Δt], point[:t], point[:Δv], point[:v], point[:F_T], point[:F_R], point[:R_path], point[:R_train], point[:R_traction], point[:R_wagons], point[:ΔW], point[:W], point[:ΔE], point[:E], point[:a]]
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push!(summarizedData, row) # push row to summarizedData
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end
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end
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@ -61,10 +71,10 @@ function createCsvFile(movingSection::Dict, drivingCourse::Vector{Dict}, operati
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end # for
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# combine the columns in a data frame and saving it as a CSV-file at csvDirectory
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if detailOfOutput=="minimal"
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df=DataFrame(c1=allColumns[1], c2=allColumns[2],c3=allColumns[3])
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elseif detailOfOutput=="driving course"
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df=DataFrame(c1=allColumns[1], c2=allColumns[2],c3=allColumns[3], c4=allColumns[4], c5=allColumns[5], c6=allColumns[6], c7=allColumns[7], c8=allColumns[8], c9=allColumns[9], c10=allColumns[10], c11=allColumns[11], c12=allColumns[12], c13=allColumns[13], c14=allColumns[14], c15=allColumns[15], c16=allColumns[16], c17=allColumns[17], c18=allColumns[18], c19=allColumns[19])
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if detailOfOutput == "minimal"
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df = DataFrame(c1=allColumns[1], c2=allColumns[2],c3=allColumns[3])
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elseif detailOfOutput=="driving course" || detailOfOutput == "points of interest"
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df = DataFrame(c1=allColumns[1], c2=allColumns[2],c3=allColumns[3], c4=allColumns[4], c5=allColumns[5], c6=allColumns[6], c7=allColumns[7], c8=allColumns[8], c9=allColumns[9], c10=allColumns[10], c11=allColumns[11], c12=allColumns[12], c13=allColumns[13], c14=allColumns[14], c15=allColumns[15], c16=allColumns[16], c17=allColumns[17], c18=allColumns[18], c19=allColumns[19])
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end
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date = Dates.now()
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@ -157,7 +157,7 @@ function importSettingsFromYaml(settingsDirectory::String)
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# TODO: it could be checked if the path is existing on the pc
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end # if
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settings[:detailOfOutput] = getString!(data, "settings", "detailOfOutput", ["minimal", "driving course"]) # should the output be "minimal" or "driving course"
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settings[:detailOfOutput] = getString!(data, "settings", "detailOfOutput", ["minimal", "points of interest", "driving course"]) # should the output be "minimal" or are "points of interest" or the complete "driving course" required?
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informAboutUnusedKeys(data, "settings") # inform the user, which keywords of the imported data are not used in this tool
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14
src/Input.jl
14
src/Input.jl
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@ -17,6 +17,10 @@ function checkAndSetInput!(train::Dict, path::Dict, settings::Dict)
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checkAndSetPath!(path)
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checkAndSetSettings!(settings)
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if settings[:detailOfOutput] == "points of interest" && !haskey(path, :pointsOfInterest)
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settings[:detailOfOutput] = "driving course"
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println("INFO at checking the input for settings and path: settings[:detailOfOutput] is 'points of interest' but the path does not have a list for pointsOfInterest. Therefore the detailOfOut is changed to 'driving course'.")
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end
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return (train, path, settings)
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end #function checkAndSetInput!
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@ -92,7 +96,7 @@ function checkAndSetSettings!(settings::Dict)
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# TODO: it could be checked if the path is existing on the pc
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end # if
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checkString(settings, "settings", :detailOfOutput, ["minimal", "driving course"]) # should the output be "minimal" or "driving course"
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checkString(settings, "settings", :detailOfOutput, ["minimal", "points of interest", "driving course"]) # should the output be "minimal" or are "points of interest" or the complete "driving course" required?
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# TODO: informAboutUnusedKeys(settings, "settings") # inform the user, which Symbols of the input dictionary are not used in this tool
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@ -424,7 +428,7 @@ function checkAndSetPOIs!(path::Dict)
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end # for
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if errorDetected
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error("ERROR at checking the input dictionary for the path: The values of the point of interest have to be corrected.")
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error("ERROR at checking the input dictionary for the path: The values of pointsOfInterest have to be corrected.")
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end
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if sortingNeeded == true
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sort!(pointsOfInterest)
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@ -439,9 +443,11 @@ function checkAndSetPOIs!(path::Dict)
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end
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end # for
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path[:pointsOfInterest] = copiedPOIs
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else
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println("INFO at checking the input dictionary for the path: The key pointsOfInterest exists but without values.")
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delete!(path, :pointsOfInterest)
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end
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else
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delete!(path, :pointsOfInterest)
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end
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return path
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@ -32,7 +32,13 @@ julia> calculateDrivingDynamics(trainDict, pathDict, settingsDict)
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todo !!!
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```
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"""
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function calculateDrivingDynamics(train::Dict, path::Dict, settings::Dict)
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function calculateDrivingDynamics(trainInput::Dict, pathInput::Dict, settingsInput::Dict)
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# copy Input data for not changing them
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# TODO: or should they be changed? enormally it would only make it "better" except for settings[:detailOfOutput] == "points of interest" && !haskey(path, :pointsOfInterest)
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train = copy(trainInput)
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path = copy(pathInput)
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settings = copy(settingsInput)
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# check the input data
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(train, path, settings) = checkAndSetInput!(train, path, settings)
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println("The input has been checked.")
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