#!/usr/bin/env wolframscript
(* ::Package:: *)
dataFile0="../example_stat_report0.txt";
dataFile1="../example_stat_report1.txt";
graphWidth=480;
graphColours={Darker[Blue],Darker[Red]};
(* functions *)
readFileFunc[fileName_]:=(
    SetStreamPosition[fileName,0];
    dat=<|"FileName"->fileName,
          Read[fileName,Word]->Read[fileName,Number],
          Read[fileName,Word]->Read[fileName,Number],
          Read[fileName,Word]->Read[fileName,Number],
          Read[fileName,Word]->Read[fileName,Real],
          Read[fileName,Word]->Read[fileName,Real],
          Read[fileName,Word]->Read[fileName,Real],
          Read[fileName,Word]->Read[fileName,Real],
          Read[fileName,Word]->Read[fileName,Number],
          Read[fileName,Word]->Read[fileName,Real],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]],
      Read[fileName,Word]->ToExpression[StringSplit[Read[fileName,String]," "]]
    |>;
    Close[fileName];
    Return[dat];
)
calcUncListFunc[dat_,member_]:=Table[
    {dat["Sensor_uncertainty"][[i]],dat[member][[i]]},
    {i,1,Length[dat["Sensor_uncertainty"]]}];
calcSigListFuncUp[dat_,exp_,member_]:=Table[
    {dat["Sensor_uncertainty"][[i]],dat[exp][[i]]+
        dat[member][[i]]},
    {i,1,Length[dat["Sensor_uncertainty"]]}];
mainLeg[datLeg_]:="Dim:"<>ToString[datLeg["Dimensionality"]]<>
    "; Known spheres:"<>ToString[datLeg["Number_of_known_spheres"]]<>
    "; Mult:"<>ToString[datLeg["Multiplier"]]<>
    "; Runs:"<>ToString[datLeg["Number_of_runs"]]<>
    ";\nUncertainties:["<>ToString[datLeg["Start_uncertainty"]]<>
    ", "<>ToString[datLeg["End_uncertainty"]]<>"], increment:"<>
    ToString[datLeg["Uncertainty_incr"]]<>"\nSamples: "<>
    ToString[datLeg["Samples_for_one_uncertainty_value"]]<>" x Uncertainties"<>
    ";Statistical discretisation: "<>
                                 ToString[datLeg["Statistical_discretisation"]];
(* get data *)
data0=readFileFunc[dataFile0]; data1=readFileFunc[dataFile1];
(* error calculations *)
expErrList0=calcUncListFunc[data0,"Expected_err"];
expErrList1=calcUncListFunc[data1,"Expected_err"];
sigmaErrList0up=calcSigListFuncUp[data0,"Expected_err","Sigma_err"];
sigmaErrList1up=calcSigListFuncUp[data1,"Expected_err","Sigma_err"];
minsErrList0=calcUncListFunc[data0,"Min_err"];
maxsErrList0=calcUncListFunc[data0,"Max_err"];
minsErrList1=calcUncListFunc[data1,"Min_err"];
maxsErrList1=calcUncListFunc[data1,"Max_err"];
(* error drawing *)
expErrGraph=ListLinePlot[{Legended[expErrList0,mainLeg[data0]],
                          Legended[sigmaErrList0up,"\[Mu]+\[Sigma]"],
                          Legended[minsErrList0,"min/max"],maxsErrList0,
                          Legended[expErrList1,mainLeg[data1]],
                          Legended[sigmaErrList1up,"\[Mu]+\[Sigma]"],
                          Legended[minsErrList1,"min/max"],maxsErrList1},
    PlotStyle->{graphColours[[1]],
        {Dashed,Lighter[graphColours[[1]]]},
        {Dotted,Lighter[graphColours[[1]]]},{Dotted,Lighter[graphColours[[1]]]},
        graphColours[[2]],
        {Dashed,Lighter[graphColours[[2]]]},
        {Dotted,Lighter[graphColours[[2]]]},{Dotted,Lighter[graphColours[[2]]]}},
    ImageSize->graphWidth,PlotLabel->"Expected Error",
    Frame->True,FrameLabel->{"Sensor uncertainty","Expected value"},
    GridLines->Automatic,GridLinesStyle->Directive[Gray,Dashed]]
(* solves calculations *)
expSlvList0=calcUncListFunc[data0,"Expected_solves"];
expSlvList1=calcUncListFunc[data1,"Expected_solves"];
sigmaSlvList0up=calcSigListFuncUp[data0,"Expected_solves","Sigma_solves"];
sigmaSlvList1up=calcSigListFuncUp[data1,"Expected_solves","Sigma_solves"];
minsSlvList0=calcUncListFunc[data0,"Min_solves"];
maxsSlvList0=calcUncListFunc[data0,"Max_solves"];
minsSlvList1=calcUncListFunc[data1,"Min_solves"];
maxsSlvList1=calcUncListFunc[data1,"Max_solves"];
(* solves drawing *)
expSlvGraph=ListLinePlot[{Legended[expSlvList0,mainLeg[data0]],
                          Legended[sigmaSlvList0up,"\[Mu]+\[Sigma]"],
                          Legended[minsSlvList0,"min/max"],maxsSlvList0,
                          Legended[expSlvList1,mainLeg[data1]],
                          Legended[sigmaSlvList1up,"\[Mu]+\[Sigma]"],
                          Legended[minsSlvList1,"min/max"],maxsSlvList1},
    PlotStyle->{graphColours[[1]],
        {Dashed,Lighter[graphColours[[1]]]},
        {Dotted,Lighter[graphColours[[1]]]},{Dotted,Lighter[graphColours[[1]]]},
        graphColours[[2]],
        {Dashed,Lighter[graphColours[[2]]]},
        {Dotted,Lighter[graphColours[[2]]]},{Dotted,Lighter[graphColours[[2]]]}},
    ImageSize->graphWidth,PlotLabel->"Expected Solves",
    Frame->True,FrameLabel->{"Sensor uncertainty","Expected value"},
    GridLines->Automatic,GridLinesStyle->Directive[Gray,Dashed]]
Export["errors.png",expErrGraph]
Export["errors.svg",expErrGraph]
Export["solves.png",expSlvGraph]
Export["solves.svg",expSlvGraph]