69 lines
2.1 KiB
Julia
69 lines
2.1 KiB
Julia
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#!/usr/bin/env julia
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# -*- coding: UTF-8 -*-
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# __julia-version__ = 1.7.2
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# __author__ = "Max Kannenberg, Martin Scheidt"
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# __copyright__ = "2020-2022"
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# __license__ = "ISC"
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__precompile__(true)
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module TrainRuns
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## loading standard library packages
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using UUIDs, Dates
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## loading external packages
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using YAML, JSONSchema, CSV, DataFrames
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export
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## Interface
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trainrun, Path, Settings, exportToCsv
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## include package files
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include("types.jl")
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include("formulary.jl")
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include("characteristics.jl")
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include("behavior.jl")
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include("output.jl")
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include("import.jl")
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include("export.jl")
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include("calc.jl")
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## main function
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"""
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trainrun(train::Dict, path::Path, settings::Settings)
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Calculate the running time of a `train` on a `path`.
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The `settings` provides the choice of models for the calculation.
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`settings` can be omitted. If so, a default is used.
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The running time will be return in seconds.
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# Examples
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```julia-repl
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julia> trainrun(train, path)
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xxx.xx # in seconds
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```
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"""
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function trainrun(trainInput::Dict, path::Path, settings=Settings()::Settings)
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# copy Input data for not changing them
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# TODO: or should they be changed? normally it would only make it "better" except for settings.outputDetail == :points_of_interest && isempty(path.poi)
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train = copy(trainInput)
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# check the input data
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train = checkAndSetTrain!(train)
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settings.outputDetail == :everything && println("The input has been checked.")
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# prepare the input data
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movingSection = determineCharacteristics(path, train, settings)
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settings.outputDetail == :everything && println("The moving section has been prepared.")
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# calculate the train run for oparation mode "minimum running time"
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(movingSection, drivingCourse) = calculateMinimumRunningTime!(movingSection, settings, train)
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settings.outputDetail == :everything && println("The driving course for the shortest running time has been calculated.")
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# accumulate data and create an output dictionary
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output = createOutput(train, settings, path, movingSection, drivingCourse)
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return output
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end # function trainrun
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end # module TrainRuns
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