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rewrite jdataencode
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‎jdataencode.m‎

Lines changed: 168 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,178 @@
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function newdata=jdataencode(data,varargin)
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function jdata=jdencode(data, varargin)
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%
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% newdata=jdataencode(data,opt,...)
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% jdata=jdencode(data)
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% or
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% jdata=jdencode(data, options)
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% jdata=jdencode(data, 'Param1',value1, 'Param2',value2,...)
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%
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% encode special MATLAB objects (cells, structs, sparse and complex arrays,
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% maps, graphs, function handles, etc) to the JData format
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% Serialize a MATLAB struct or cell array into a JData-compliant
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% structure as defined in the JData spec: http://github.com/fangq/jdata
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%
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% authors:Qianqian Fang (q.fang <at> neu.edu)
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% author: Qianqian Fang (q.fang <at> neu.edu)
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%
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% input:
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% data: a matlab object
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% opt: (optional) a list of 'Param',value pairs for additional options.
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% For all supported options, please see the help info for savejson.m
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% and loadjson.m
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% input:
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% data: a structure (array) or cell (array) to be encoded.
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% options: (optional) a struct or Param/value pairs for user specified options
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% Compression: ['zlib'|'gzip','lzma','lz4','lz4hc'] - use zlib method
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% to compress data array
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% CompressArraySize: [100|int]: only to compress an array if the
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% total element count is larger than this number.
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%
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% output:
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% newdata: the covnerted data containing JData structures
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% example:
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% jd=jdencode(struct('a',rand(5)+1i*rand(5),'b',[],'c',sparse(5,5)))
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%
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% examples:
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% jd=jdataencode(struct('a',rand(5)+1i*rand(5),'b',[],'c',sparse(5,5)))
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%
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% license:
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% BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details
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% license:
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% BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details
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%
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% -- this function is part of JSONLab toolbox (http://iso2mesh.sf.net/cgi-bin/index.cgi?jsonlab)
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%
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newdata=loadjson(savejson('',data,varargin{:}),varargin{:},'JDataDecode',0);
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if(nargin==0)
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help jdencode
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return;
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end
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opt=varargin2struct(varargin{:});
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opt.prefix=jsonopt('Prefix',sprintf('x0x%X','_'+0),opt);
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jdata=obj2jd(data,opt);
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%%-------------------------------------------------------------------------
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function newitem=obj2jd( item,varargin)
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if(iscell(item))
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newitem=cell2jd(item,varargin{:});
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elseif(isstruct(item))
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newitem=struct2jd(item,varargin{:});
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elseif(ischar(item) || isa(item,'string'))
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newitem=mat2jd(item,varargin{:});
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elseif(isa(item,'containers.Map'))
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newitem=map2jd(item,varargin{:});
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elseif(isa(item,'categorical'))
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newitem=cell2jd(cellstr(item),varargin{:});
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elseif(islogical(item) || isnumeric(item))
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newitem=mat2jd(item,varargin{:});
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elseif(isa(item,'table'))
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newitem=table2jd(item,varargin{:});
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elseif(isa(item,'digraph'))
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newitem=graph2jd(item,varargin{:});
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else
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newitem=any2jd(item,varargin{:});
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end
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%%-------------------------------------------------------------------------
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function newitem=cell2jd(item,varargin)
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newitem=cellfun(@(x) obj2jd(x, varargin{:}), item, 'UniformOutput',false);
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%%-------------------------------------------------------------------------
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function newitem=struct2jd(item,varargin)
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num=numel(item);
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if(num>1)
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newitem=obj2jd(num2cell(item),varargin{:});
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try
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newitem=cell2mat(newitem);
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catch
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end
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else
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names=fieldnames(item);
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newitem=struct;
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for i=1:length(names)
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newitem.(names{i})=obj2jd(item.(names{i}),varargin{:});
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end
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end
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%%-------------------------------------------------------------------------
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function newitem=map2jd(item,varargin)
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names=item.keys;
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newitem=containers.Map;
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for i=1:length(names)
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newitem(names{i})=obj2jd(item(names{i}),varargin{:});
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end
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%%-------------------------------------------------------------------------
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function newitem=mat2jd(item,varargin)
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if(isa(item,'string') || ischar(item) || (isvector(item) && isreal(item) && ~issparse(item)))
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newitem=item;
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return;
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end
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zipmethod=jsonopt('Compression','',varargin{:});
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minsize=jsonopt('CompressArraySize',100,varargin{:});
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if(isa(item,'logical'))
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item=uint8(item);
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end
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newitem=struct(N_('_ArraySize_'),size(item),N_('_ArrayType_'),class(item));
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if(isreal(item))
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if(issparse(item))
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fulldata=full(item(find(item)));
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newitem.(N_('_ArrayIsSparse_'))=true;
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newitem.(N_('_ArrayZipSize_'))=[2+(~isvector(item)),length(fulldata)];
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if(isvector(item))
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newitem.(N_('_ArrayData_'))=[find(item)', fulldata(:)'];
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else
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[ix,iy]=find(item);
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newitem.(N_('_ArrayData_'))=[ix(:)' , iy(:)', fulldata(:)'];
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end
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else
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item=permute(item,ndims(item):-1:1);
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newitem.(N_('_ArrayData_'))=item(:)';
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end
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else
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newitem.(N_('_ArrayIsComplex_'))=true;
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if(issparse(item))
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fulldata=full(item(find(item)));
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newitem.(N_('_ArrayIsSparse_'))=true;
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newitem.(N_('_ArrayZipSize_'))=[3+(~isvector(item)),length(fulldata)];
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if(isvector(item))
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newitem.(N_('_ArrayData_'))=[find(item)', real(fulldata(:)'), imag(fulldata(:)')];
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else
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[ix,iy]=find(item);
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newitem.(N_('_ArrayData_'))=[ix(:)' , iy(:)' , real(fulldata(:)'), imag(fulldata(:)')];
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end
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else
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newitem.(N_('_ArrayZipSize_'))=[2,numel(item)];
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newitem.(N_('_ArrayData_'))=[real(item(:)'), imag(item(:)')];
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end
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end
144+
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if(~isempty(zipmethod) && numel(item)>minsize)
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compfun=str2func([zipmethod 'encode']);
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newitem.(N_('_ArrayZipType_'))=lower(zipmethod);
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newitem.(N_('_ArrayZipSize_'))=size(newitem.(N_('_ArrayData_')));
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newitem.(N_('_ArrayZipData_'))=compfun(typecast(newitem.(N_('_ArrayData_')),'uint8'));
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newitem=rmfield(newitem,N_('_ArrayData_'));
151+
if(jsonopt('Base64',1,varargin{:}))
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newitem.(N_('_ArrayZipData_'))=char(base64encode(newitem.(N_('_ArrayZipData_'))));
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end
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end
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%%-------------------------------------------------------------------------
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function newitem=table2jd(item,varargin)
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newitem=struct;
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newitem(N_('_TableRows_'))=item.Properties.RowNames';
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newitem(N_('_TableCols_'))=item.Properties.VariableNames;
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newitem(N_('_TableRecords_'))=table2cell(item);
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%%-------------------------------------------------------------------------
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function newitem=graph2jd(item,varargin)
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newitem=struct;
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nodedata=table2struct(item.Nodes);
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if(any(ismember(G.Edges.Properties.VariableNames,'Name')))
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nodedata=rmfield(nodedata,'Name');
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newitem(N_('_GraphNodes_'))=containers.Map(item.Nodes.Name,num2cell(nodedata),'uniformValues',false);
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else
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newitem(N_('_GraphNodes_'))=containers.Map(1:max(item.Edges.EndNodes(:)),num2cell(nodedata),'uniformValues',false);
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end
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newitem(N_('_GraphEdges_'))=num2cell(table2cell(item.Edges),2);
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%%-------------------------------------------------------------------------
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function newname=N_(name,varargin)
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prefix=jsonopt('Prefix',sprintf('x0x%X','_'+0),varargin{:});
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newname=[prefix name];

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