/*  MELODIC - Multivariate exploratory linear optimized decomposition into 
              independent components
    
    meloptions.h - class for command line options

    Christian F. Beckmann, FMRIB Analysis Group
    
    Copyright (C) 1999-2013 University of Oxford */

/*  Part of FSL - FMRIB's Software Library
    http://www.fmrib.ox.ac.uk/fsl
    fsl@fmrib.ox.ac.uk
    
    Developed at FMRIB (Oxford Centre for Functional Magnetic Resonance
    Imaging of the Brain), Department of Clinical Neurology, Oxford
    University, Oxford, UK
    
    
    LICENCE
    
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    Oxford (the "Software")
    
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#ifndef __MELODICOPTIONS_h
#define __MELODICOPTIONS_h

#include <string>
#include <strstream>
#include <iostream>
#include <iomanip>
#include <fstream>
#include <stdlib.h>
#include <stdio.h>
#include "utils/options.h"
#include "utils/log.h"
#include "melodic.h"

using namespace Utilities;

namespace Melodic {

class MelodicOptions {
	public:
  	static MelodicOptions& getInstance();
  	~MelodicOptions() { delete gopt; }
  
  	string version;
  	string binpath;
  	string logfname;
  	bool   filtermode;
  	bool   explicitnums;
  
  	Option<string> logdir;
  	Option< std::vector<string> > inputfname;

  	Option<string> outputfname;

  	Option<string> maskfname;
  	Option<bool>   use_mask;
  	Option<bool>   update_mask;
  	Option<bool>   perf_bet;
  	Option<float>  threshold;

  	Option<int>    pca_dim;
  	Option<string> pca_est;
  	Option<bool>   joined_whiten;
  	Option<bool>   joined_vn;
	Option<bool>   dr_pca;
	Option<bool>   migp;
	Option<int>    migpN;
	Option<bool>   migp_shuffle;
	Option<int>	   migp_factor;
	Option<bool>   dr;
	Option<bool>   dr_out;
	Option<float>  vn_level;
  	Option<int>    numICs;
  	Option<string> approach;
  	Option<string> nonlinearity;

  	Option<bool>   varnorm;
 	Option<bool>   varnorm2;
  	Option<bool>   pbsc;
  	Option<bool>   pspec;
  	Option<string> segment;
  	Option<bool>   tsmooth;
  	Option<float>  epsilon;
  	Option<float>  epsilonS;
  	Option<int>    maxNumItt;
  	Option<int>    maxRestart;
  	Option<int>    rank1interval;

  	Option<string> mmthresh;
  	Option<bool>   perf_mm;
  	Option<string> ICsfname;
  	Option<string> filtermix; 
  	Option<string> smodename; 
  	Option<string> filter; 

  	Option<bool>   genreport;
	Option<string> guireport;
	Option<string> bgimage;
  	Option<float>  tr;
  	Option<bool>   logPower;
	Option<bool>   addsigchng;
	Option<bool>   allPPCA;
	Option<bool>   varplots;
	Option<bool>   varvals;

	Option<string> fn_Tdesign;
	Option<string> fn_Tcon;
	Option<string> fn_TconF;
	Option<string> fn_Sdesign;
	Option<string> fn_Scon;	
	Option<string> fn_SconF;	
	
  	Option<bool>   output_all;
  	Option<bool>   output_unmix;
  	Option<bool>   output_MMstats;
  	Option<bool>   output_pca;
  	Option<bool>   output_white;
  	Option<bool>   output_origIC;
  	Option<bool>   output_mean;

  	Option<bool> verbose;  
  	Option<bool> vers;
  	Option<bool> copyright;
  	Option<bool> help;
  	Option<bool> debug;

  	Option<string> guessfname;
  	Option<string> paradigmfname;
  	Option<string> axials_str;

  	Option<int>   dummy;
  	Option<int>   repeats;
	Option<int>   seed;
  	Option<float> nlconst1;
  	Option<float> nlconst2;
  	Option<float> smooth_probmap;
	Option<string> insta_fn;

  	Option<bool> remove_meanvol;
  	Option<bool> remove_meantc;
 	Option<bool> remove_endslices;
  	Option<bool> rescale_nht;

  	Option<bool> guess_remderiv;
  	Option<bool> temporal;

  	Option<float> retryfactor;
  	Option<int> econ;

  	void parse_command_line(int argc, char** argv, Log& logger,  const string &p_version);

 	private:
  	MelodicOptions();  
  	const MelodicOptions& operator=(MelodicOptions&);
  	MelodicOptions(MelodicOptions&);

  	OptionParser options; 
      
  	static MelodicOptions* gopt;

  	void print_usage(int argc, char *argv[]);  
  	void print_version(); 
  	void print_copyright();
  	void status();

};

 inline MelodicOptions& MelodicOptions::getInstance(){
   if(gopt == NULL)
     gopt = new MelodicOptions();
   
   return *gopt;
 }

 inline MelodicOptions::MelodicOptions() :
   logdir(string("-o,--outdir"), string("log.txt"),
	   string("output directory name\n"), 
	   false, requires_argument),
   inputfname(string("-i,--in"), std::vector<string>(),
	   string("input file names (either single file name or comma-separated list or text file)"), 
	   true, requires_argument),
   outputfname(string("-O,--out"), string("melodic"),
	   string("output file name"), 
	   false, requires_argument,false),
   maskfname(string("-m,--mask"), string(""),
	   string("file name of mask for thresholding"), 
	   false, requires_argument),
   use_mask(string("--nomask"), true,
	   string("switch off masking"), 
	   false, no_argument),
   update_mask(string("--update_mask"), true,
	   string("switch off mask updating"), 
	   false, no_argument),
   perf_bet(string("--nobet"), true,
	   string("\tswitch off BET"), 
	   false, no_argument),
   threshold(string("--bgthreshold"),  0.01,
	   string("brain / non-brain threshold (only if --nobet selected)\n"), 
	   false, requires_argument),
   pca_dim(string("-d,--dim"), 0,
	   string("dimensionality reduction into #num dimensions (default: automatic estimation)"), 
	   false, requires_argument),
   pca_est(string("--dimest"), string("lap"),
	   string("use specific dim. estimation technique: lap, bic, mdl, aic, mean (default: lap)"), 
	   false, requires_argument),
   joined_whiten(string("--sep_whiten"), false,
	   string("switch on separate whitening"), 
	   false, no_argument, false),
   joined_vn(string("--sep_vn"), true,
   	   string("switch on separate variance nomalisation (as opposed to separate VN)"), 
       false, no_argument),
   dr_pca(string("--mod_pca"), true,
	   string("switch off modified PCA for concat ICA"),
	   false, no_argument, false),
   migp(string("--migp"), false,
	   string("switch on MIGP data reduction"),
	   false, no_argument, false),	
   migpN(string("--migpN"), 0,
	   string("Number of internal Eigenmaps"),
	   false, requires_argument, false),
   migp_shuffle(string("--migp_shuffle"), true,
	   string("Randomise MIGP file order (default: TRUE)"),
	   false, no_argument, false),
   migp_factor(string("--migp_factor"), 2,
	   string("Internal Factor of mem-threshold relative to number of Eigenmaps (default: 2)"),
       false, requires_argument, false),
   dr(string("--dr"), false,
	   string("Dual Regression (default: false)"),
	   false, no_argument, false),
   dr_out(string("--dr_out"), false,
	   string("Dual Regression output for MIGP/concat ICA"),
	   false, no_argument, false),	
   vn_level(string("--vn_level"), float(2.3),
	   string("variance nomalisation threshold level (Z> value is ignored)"), 
	   false, requires_argument, false),
   numICs(string("-n,--numICs"), -1,
	   string("numer of IC's to extract (for deflation approach)"), 
	   false, requires_argument),
   approach(string("-a,--approach"),  string("symm"),
	   string("approach for decomposition, 2D: defl, symm (default), 3D: tica, concat (default)"),
	   false, requires_argument),
   nonlinearity(string("--nl"), string("pow3"),
	   string("\tnonlinearity: gauss, tanh, pow3, pow4"), 
	   false, requires_argument),
   varnorm(string("--vn,--varnorm"), true,
	   string("switch off variance normalisation"), 
	   false, no_argument),
   varnorm2(string("--vn2"), true,
		string("switch off 2nd level variance normalisation"), 
		false, no_argument, false),
   pbsc(string("--pbsc"), false,
	   string("        switch on conversion to percent BOLD signal change"), 
	   false, no_argument, false),
   pspec(string("--pspec"), false,
	   string("        switch on conversion to powerspectra"), 
	   false, no_argument, false),
   segment(string("--covarweight"), string(""),
	   string("voxel-wise weights for the covariance matrix (e.g. segmentation information)"),
	   false, requires_argument),
   tsmooth(string("--spca"),  false,
	   string("smooth the eigenvectors prior to IC decomposition"), 
	    false, no_argument, false),
   epsilon(string("--eps"), 0.00005,
	   string("minimum error change"), 
	   false, requires_argument),
   epsilonS(string("--epsS"), 0.03,
	   string("minimum error change for rank-1 approximation in TICA"), 
	   false, requires_argument),
   maxNumItt(string("--maxit"),  500,
	   string("\tmaximum number of iterations before restart"), 
	   false, requires_argument),
   maxRestart(string("--maxrestart"),  -1,
	   string("maximum number of restarts\n"), 
	   false, requires_argument),
   rank1interval(string("--rank1interval"),  10,
	   string("number of iterations between rank-1 approximation (TICA)\n"), 
		 false, requires_argument,false),
   mmthresh(string("--mmthresh"), string("0.5"),
	   string("threshold for Mixture Model based inference"), 
	   false, requires_argument),
   perf_mm(string("--no_mm"), true,
	   string("\tswitch off mixture modelling on IC maps\n "), 
	   false, no_argument),
   ICsfname(string("--ICs"), string(""),
	   string("\tinput filename of the IC components file for mixture modelling"), 
	   false, requires_argument),
   filtermix(string("--mix"),  string(""),
	   string("\tinput filename of mixing matrix for mixture modelling / filtering"), 
	   false, requires_argument),
   smodename(string("--smode"),  string(""),
	   string("\tinput filename of matrix of session modes for report generation"), 
	   false, requires_argument),
   filter(string("-f,--filter"),  string(""),
	   string("list of component numbers to remove\n "), 
	   false, requires_argument),
   genreport(string("--report"), false,
	   string("generate Melodic web report"), 
	   false, no_argument),
   guireport(string("--guireport"), string(""),
	   string("modify report for GUI use"), 
	   false, requires_argument, false),
   bgimage(string("--bgimage"),  string(""),
	   string("specify background image for report (default: mean image)\n "), 
	   false, requires_argument),
   tr(string("--tr"),  0.0,
	   string("\tTR in seconds"), 
	   false, requires_argument),
   logPower(string("--logPower"),  false,
	   string("calculate log of power for frequency spectrum\n"), 
	   false, no_argument),
   addsigchng(string("--sigchng"),  false,
	   string("add signal change estimates to report pages\n"), 
       false, no_argument, false),
   allPPCA(string("--allPPCA"),  false,
	   string("add all PPCA plots\n"), 
	   false, no_argument, false),
   varplots(string("--varplots"),  false,
	   string("add std error envelopes to time course plots\n"), 
	   false, no_argument, false),
   varvals(string("--varvals"),  false,
	   string("add rank1 values after plots\n"), 
	   false, no_argument, false),
   fn_Tdesign(string("--Tdes"), string(""),
	   string("        design matrix across time-domain"),
	   false, requires_argument),
   fn_Tcon(string("--Tcon"), string(""),
       string("        t-contrast matrix across time-domain"),
	   false, requires_argument),
   fn_TconF(string("--Tconf"), string(""),
	   string("        F-contrast matrix across time-domain"),
	   false, requires_argument, false),
   fn_Sdesign(string("--Sdes"), string(""),
	   string("        design matrix across subject-domain"),
	   false, requires_argument),
   fn_Scon(string("--Scon"), string(""),
	   string("        t-contrast matrix across subject-domain"),
	   false, requires_argument),	
   fn_SconF(string("--Sconf"), string(""),
	   string("        F-contrast matrix across subject-domain"),
	   false, requires_argument,false),	
   output_all(string("--Oall"),  false,
	   string("        output everything"), 
	   false, no_argument),
   output_unmix(string("--Ounmix"),  false,
	   string("output unmixing matrix"), 
	   false, no_argument),
   output_MMstats(string("--Ostats"),  false,
	   string("output thresholded maps and probability maps"), 
	   false, no_argument),
   output_pca(string("--Opca"),  false,
	   string("\toutput PCA results"), 
	   false, no_argument),
   output_white(string("--Owhite"),  false,
	   string("output whitening/dewhitening matrices"), 
	   false, no_argument),
   output_origIC(string("--Oorig"),  false,
	   string("\toutput the original ICs"), 
	   false, no_argument),
   output_mean(string("--Omean"),  false,
	   string("\toutput mean volume\n"), 
	   false, no_argument),
   verbose(string("-v,--verbose"), false,
	   string("switch on diagnostic messages"), 
	   false, no_argument),
   vers(string("-V,--version"), false,
	   string("prints version information"), 
	   false, no_argument),
   copyright(string("--copyright"), false,
	   string("prints copyright information"), 
	   false, no_argument),
   help(string("-h,--help"),  false,
	   string("prints this help message"), 
	   false, no_argument),
   debug(string("--debug"),  false,
	   string("        switch on debug messages"), 
	   false, no_argument),
   guessfname(string("--init_ica"), string(""),
	   string("file name of FEAT paradigm file (design.mat) for ICA initialisation"), 
	   false, requires_argument, false),
   paradigmfname(string("--init_pca"),  string(""),
	   string("file name of FEAT paradigm file (design.mat) for PCA initialisation"), 
	   false, requires_argument, false),
   axials_str(string("--report_maps"),  string(" -s 2 -A 950 "),
		   string("control string for spatial map images (see slicer)"), 
		   false, requires_argument),
   dummy(string("--dummy"),  0,
	   string("number of dummy volumes"), 
	   false, requires_argument,false),
   repeats(string("--repeats"), 1,
	   string("number of repeats (multistart)"), 
	   false, requires_argument, false),
   seed(string("--seed"), -1,
	   string("integer seed for random number generator within melodic"), 
	   false, requires_argument, false),
   nlconst1(string("--nl1,--nlconst1"),  1.0,
	   string("nonlinear constant 1"), 
	   false, requires_argument, false),
   nlconst2(string("--nl2,--nlconst2"),  1.0,
	   string("nonlinear constant 2"), 
	   false, requires_argument, false),
   smooth_probmap(string("--smooth_pm"),  0.0,
	   string("width of smoothing kernel for probability maps"), 
	   false, requires_argument, false),
   insta_fn(string("--insta_fn"), string(""),
	   string(" mask file name for instacorr calculation"),
       false, requires_argument, false),
   remove_meanvol(string("--keep_meanvol"), true,
	   string("do not subtract mean volume"), 
	   false, no_argument, false),
   remove_meantc(string("--remove_meantc"), false,
	   string("remove mean time course"), 
	   false, no_argument, false),
   remove_endslices(string("--remEndslices"),  false,
	   string("delete end slices (motion correction artefacts)"), 
	   false, no_argument,false),
   rescale_nht(string("--rescale_nht"),  true,
	   string("switch off map rescaling after mixture-modelling"), 
	   false, no_argument,false),
   guess_remderiv(string("--remove_deriv"),  false,
	   string("removes every second entry in paradigm file (EV derivatives)"), 
	   false, no_argument, false),
   temporal(string("--temporal"),  false,
	   string("perform temporal ICA"), 
	   false, no_argument, false),
   retryfactor(string("--retryfactor"), float(0.95),
		string("multiplicative factor for determining new dim if estimated dim fails to converge"),
		false, requires_argument, false),
   econ(string("--econ"), 20000, 
	   string("set ctrl parameter for helperfns econ mode"),
       false, requires_argument, false),
   options(title, usageexmpl)
   {
     try {  
      options.add(logdir);
	    options.add(inputfname);
	    options.add(outputfname);
	    options.add(guessfname);
	    options.add(maskfname);
	    options.add(use_mask);
	    options.add(update_mask);
	    options.add(perf_bet);
	    options.add(threshold);
	    options.add(pca_dim);
	    options.add(pca_est);
	    options.add(joined_whiten);
	    options.add(joined_vn);
		options.add(dr_pca);
		options.add(migp);
		options.add(migpN);
		options.add(migp_shuffle);
		options.add(migp_factor);
		options.add(dr);
		options.add(dr_out);
	    options.add(vn_level);
	    options.add(numICs);
	    options.add(approach);
	    options.add(nonlinearity);
	    options.add(varnorm);
		options.add(varnorm2);
	    options.add(pbsc);
	    options.add(pspec);
	    options.add(segment);
	    options.add(tsmooth);
	    options.add(epsilon);
	    options.add(epsilonS);
	    options.add(maxNumItt);
	    options.add(maxRestart);
	    options.add(rank1interval);
	    options.add(mmthresh);
	    options.add(perf_mm);
	    options.add(ICsfname);
	    options.add(filtermix);
	    options.add(smodename);
	    options.add(filter);
	    options.add(genreport);
	    options.add(guireport);
		options.add(bgimage);
	    options.add(tr);
	    options.add(logPower);
	    options.add(addsigchng);
	    options.add(allPPCA);
	    options.add(varplots);
	    options.add(varvals);
		options.add(fn_Tdesign);
		options.add(fn_Tcon);
		options.add(fn_TconF);
		options.add(fn_Sdesign);
		options.add(fn_Scon);
		options.add(fn_SconF);
	    options.add(output_all);
	    options.add(output_unmix);
	    options.add(output_MMstats);
	    options.add(output_pca);
	    options.add(output_white);
	    options.add(output_origIC);
	    options.add(output_mean);
	    options.add(verbose);
	    options.add(vers);
	    options.add(copyright);
	    options.add(help);
	    options.add(debug);
	   
	    options.add(guessfname);
	    options.add(paradigmfname); 
	    options.add(axials_str); 
	    options.add(dummy);
	    options.add(repeats);
	    options.add(seed);
	    options.add(nlconst1);
	    options.add(nlconst2);
	    options.add(smooth_probmap);
		options.add(insta_fn);
	    options.add(remove_meanvol);
	    options.add(remove_meantc);
	    options.add(remove_endslices);
	    options.add(rescale_nht);
	    options.add(guess_remderiv);
	    options.add(temporal);
		options.add(retryfactor);
		options.add(econ);
     }
     catch(X_OptionError& e) {
       options.usage();
       cerr << endl << e.what() << endl;
     } 
     catch(std::exception &e) {
       cerr << e.what() << endl;
     }    
     
   }
}

#endif