SCDclass_algo.m

classdef SCDclass_algo
    %SCD algorithm handling object
    %   The class holds all information and 
    %   methods for handling a Simulink
    %   algorithm
    
    properties (Access = private)
       modelname         % Name of the model
       mdscontainer      % Container class for MDS+ interface objects
       taskcontainer     % Container class for init and term tasks
       exportedtps       % List of tunable parameters variable to be exported
       datadictionary    % Name of the used data dictionary
       stdinits          % Standard inits scripts for fixed parameters
       timing            % Timing info structure
    end
        
    methods
        %% Constructor
        
        function obj=SCDclass_algo(name)
            % Empty algorithm constructor
            
            obj.modelname=name;
            obj.mdscontainer = SCDclass_mdsobjcontainer;
            obj.taskcontainer = SCDclass_taskcontainer;
            obj.exportedtps = {};
            obj.stdinits = {};
            obj.datadictionary = '';           
            obj.timing.t_start=0;
            obj.timing.t_stop=1;
            obj.timing.dt=1e-3;
            
            % Standard data dictionary equal to algorithm name, 
            % overriddable by the setter method
            obj=obj.setdatadictionary([name '.sldd']);
        end

        %% Print infos
        
        function printinfo(obj)
           fprintf('*****************************************************\n');
           fprintf('* SCD algorithm: ''%s''\n',obj.modelname); 
           fprintf('*****************************************************\n');           
           if(~isempty(obj.datadictionary))
               fprintf('* Data dictionary:\n  %s\n',obj.datadictionary);
           else
               fprintf('* Data dictionary:\n  base workspace\n');
           end
           if numel(obj.exportedtps)>0
               fprintf('* Tunable params structs:\n');
               for ii=1:numel(obj.exportedtps)
                   fprintf('  %s\n',obj.exportedtps{ii});
               end
           end
           fprintf('* Tunable params objects:\n')
           obj.printparameters;
           fprintf('* Wavegen objects:\n');
           obj.printwavegens;
           fprintf('* Tasks objects:\n');
           obj.printtasks;
           fprintf('* Fixed parameters inits:\n');
           obj.printinits;
           fprintf('*****************************************************\n');                      
        end

        %% General purpose getters
        
        function out = getname(obj)
            out=obj.modelname;
        end

        function out = getmdscontainer(obj)
            out=obj.mdscontainer;
        end
            
        function out = gettaskcontainer(obj)
            out=obj.taskcontainer;
        end
        
        function out = gettiming(obj)
            out=obj.timing;
        end
        
        function out = getinits(obj)
            out=obj.stdinits;
        end
        
        %% Data dictionary setter and getter
        
        function obj = setdatadictionary(obj, datadict)
            obj.datadictionary=datadict;
        end
        
        function out = getdatadictionary(obj)
            out = obj.datadictionary;
        end
                
        %% Tunable parameters structures handling functions
        
        function out = getexportedtps(obj)
            out = obj.exportedtps;
        end     
        
        function obj = addtunparamstruct(obj, structname)
            if(~ismember(structname, obj.exportedtps))
                obj.exportedtps{end+1}=structname;
            else
                error('SCDclass_algo:addtunparamsstruct','Tunable parameter struct already present, cannot add!');
            end            
        end        
        
        function obj = buildworkspacetpstruct(obj)
            % this funtion builds a workspace structures containing
            % replicas of all tunable parameters structurea in the data
            % dictionaries, this structure is the one actually used 
            % for loading simulation wavegen data
            % It is better not to use directly data dictionaries structures
            % to avoid flooding dds with big sim data sets (and
            % conseguently the SCD SVN itself
           
            if(isempty(obj.datadictionary))
                warning('SCDclass_algo:buildworkspacetpstruct','Methods ignored for this object, data dictionary isn''t configured');
                return;
            end
                
            dd=SCDconf_getdatadict(obj.datadictionary);
            
            for ii=1:numel(obj.exportedtps)
                simstructnamedd=sprintf('%s_tmpl',char(obj.exportedtps(ii)));
                simstructnamews=char(obj.exportedtps(ii));
                simstruct=dd.getEntry(simstructnamedd).getValue;
                assignstr=sprintf('%s=temp;',simstructnamews);
                assignin('base','temp',simstruct);
                evalin('base',assignstr);
            end
            
            evalin('base','clear temp;');            
        end
        
        %% MDS container methods forwarders
        
        function obj = addparameter(obj, param)
            obj.mdscontainer=obj.mdscontainer.addparameter(param);
            obj.mdscontainer=obj.mdscontainer.bindlastparameter(obj.modelname, obj.datadictionary, obj.exportedtps);        
        end
        
        function obj = printparameters(obj)
            obj.mdscontainer=obj.mdscontainer.printparameters;
        end
        
        function obj = actualizeparameters(obj, shot)
            obj.mdscontainer=obj.mdscontainer.actualizeparameters(shot);
        end
        
        function obj = addwavegen(obj, wavegen)
            obj.mdscontainer=obj.mdscontainer.addwavegen(wavegen);
            obj.mdscontainer=obj.mdscontainer.bindlastwavegen(obj.modelname, obj.datadictionary, obj.timing);
        end
        
        function obj = printwavegens(obj)
            obj.mdscontainer=obj.mdscontainer.printwavegens;
        end
        
        function obj = actualizewavegens(obj, shot)
            obj.mdscontainer=obj.mdscontainer.actualizewavegens(shot);
        end
        
        function obj = cleanwavegens(obj)
            obj.mdscontainer=obj.mdscontainer.cleanwavegens;
        end
        
        %function obj = bindparameters(obj)
        %    obj.mdscontainer=obj.mdscontainer.bindparameters(obj.modelname, obj.datadictionary, obj.exportedtps);        
        %end
        
        % This method has only sense in the expcode context
        %function obj = buildworkspacesimstruct(obj)
        %    obj.mdscontainer=obj.mdscontainer.buildworkspacesimstruct;
        %end

        
        %% Task container methods forwarders
        function obj = addtask(obj, task)
            obj.taskcontainer=obj.taskcontainer.addtask(task);
            obj.taskcontainer=obj.taskcontainer.bindlasttask(obj.modelname, obj.datadictionary);
        end
        
        function obj = printtasks(obj)
            obj.taskcontainer=obj.taskcontainer.printtasks;
        end
         
       %% Wavegen timing structure setters
%        function obj = setwavegentimingsources(obj, tstart, dt, tstop)
%            assert(ischar(tstart), 'SCDclass_algo.setwavegentimingsources first parameter must be a char array');
%            assert(ischar(dt), 'SCDclass_algo.setwavegentimingsources first parameter must be a char array');
%            assert(ischar(tstop), 'SCDclass_algo.setwavegentimingsources first parameter must be a char array');
%            
%            obj.wavegentiming.t_start=tstart;
%            obj.wavegentiming.dt=dt;
%            obj.wavegentiming.t_stop=tstop;
%        end
       
       %% Timing information
       function obj = settiming(obj, t_start, dt, t_stop)
           obj.timing.t_start=t_start;
           obj.timing.dt=dt;
           obj.timing.t_stop=t_stop;
       end
       
       %% Fixed inits
       function obj = addfpinitfcn(obj, fcnname, targetstruct)
           if(~isempty(obj.stdinits))
               for ii=1:numel(obj.stdinits)
                   if(strcmp(char(obj.stdinits{ii}{2}),targetstruct))
                       warning('SCDclass_algo:addfpinitfcn','A function driving the structure %s has already been added, ignoring.\d',targetstruct)
                       return;
                   end
               end
           end
           
           temp=cell(10,1);
           temp{1}=fcnname;
           temp{2}=targetstruct;
           obj.stdinits{end+1}=temp;
       end
       
       function printinits(obj)
           if(~isempty(obj.stdinits))
               for ii=1:numel(obj.stdinits)
                   fprintf('%s -> %s\n',char(obj.stdinits{ii}{1}),char(obj.stdinits{ii}{2}));
               end
           end
       end
       
       
       function callinits(obj)
          if(~isempty(obj.stdinits))
              for(ii=1:numel(obj.stdinits))
                 
                  fprintf('Calling init function ''%s'', assigning its output to ''%s'' ...\n',char(obj.stdinits{ii}{1}),char(obj.stdinits{ii}{2}));
                  initcmd=sprintf('[fp]=%s(obj);', char(obj.stdinits{ii}{1}));
                  eval(initcmd);
                  Simulink.data.assigninGlobal(obj.modelname, char(obj.stdinits{ii}{2}), fp);
                     
              end
          end
       end
       
    end
end