-
Notifications
You must be signed in to change notification settings - Fork 116
/
savejson.m
859 lines (807 loc) · 31.2 KB
/
savejson.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
function output = savejson(rootname, obj, varargin)
%
% json=savejson(obj)
% or
% json=savejson(rootname,obj,filename)
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fang (q.fang <at> neu.edu)
% initially created on 2011/09/09
%
% input:
% rootname: the name of the root-object, when set to '', the root name
% is ignored, however, when opt.ForceRootName is set to 1 (see below),
% the MATLAB variable name will be used as the root name.
% obj: a MATLAB object (array, cell, cell array, struct, struct array,
% class instance).
% filename: a string for the file name to save the output JSON data.
% opt: a struct for additional options, ignore to use default values.
% opt can have the following fields (first in [.|.] is the default)
%
% FileName [''|string]: a file name to save the output JSON data
% FloatFormat ['%.16g'|string]: format to show each numeric element
% of a 1D/2D array;
% IntFormat ['%.0f'|string]: format to display integer elements
% of a 1D/2D array;
% ArrayIndent [1|0]: if 1, output explicit data array with
% precedent indentation; if 0, no indentation
% ArrayToStruct[0|1]: when set to 0, savejson outputs 1D/2D
% array in JSON array format; if sets to 1, an
% array will be shown as a struct with fields
% "_ArrayType_", "_ArraySize_" and "_ArrayData_"; for
% sparse arrays, the non-zero elements will be
% saved to _ArrayData_ field in triplet-format i.e.
% (ix,iy,val) and "_ArrayIsSparse_" will be added
% with a value of 1; for a complex array, the
% _ArrayData_ array will include two columns
% (4 for sparse) to record the real and imaginary
% parts, and also "_ArrayIsComplex_":1 is added.
% NestArray [0|1]: If set to 1, use nested array constructs
% to store N-dimensional arrays; if set to 0,
% use the annotated array format defined in the
% JData Specification (Draft 1 or later).
% ParseLogical [0|1]: if this is set to 1, logical array elem
% will use true/false rather than 1/0.
% SingletArray [0|1]: if this is set to 1, arrays with a single
% numerical element will be shown without a square
% bracket, unless it is the root object; if 0, square
% brackets are forced for any numerical arrays.
% SingletCell [1|0]: if 1, always enclose a cell with "[]"
% even it has only one element; if 0, brackets
% are ignored when a cell has only 1 element.
% EmptyArrayAsNull [0|1]: if set to 1, convert an empty array to
% JSON null object; empty cells remain mapped to []
% ForceRootName [0|1]: when set to 1 and rootname is empty, savejson
% will use the name of the passed obj variable as the
% root object name; if obj is an expression and
% does not have a name, 'root' will be used; if this
% is set to 0 and rootname is empty, the root level
% will be merged down to the lower level.
% Inf ['"$1_Inf_"'|string]: a customized regular expression pattern
% to represent +/-Inf. The matched pattern is '([-+]*)Inf'
% and $1 represents the sign. For those who want to use
% 1e999 to represent Inf, they can set opt.Inf to '$11e999'
% NaN ['"_NaN_"'|string]: a customized regular expression pattern
% to represent NaN
% JSONP [''|string]: to generate a JSONP output (JSON with padding),
% for example, if opt.JSONP='foo', the JSON data is
% wrapped inside a function call as 'foo(...);'
% UnpackHex [1|0]: convert the 0x[hex code] output by loadjson
% back to the string form
% SaveBinary [1|0]: 1 - save the JSON file in binary mode; 0 - text mode.
% Compact [0|1]: 1- out compact JSON format (remove all newlines and tabs)
% Compression 'zlib', 'gzip', 'lzma', 'lzip', 'lz4' or 'lz4hc': specify array
% compression method; currently only supports 6 methods. The
% data compression only applicable to numerical arrays
% in 3D or higher dimensions, or when ArrayToStruct
% is 1 for 1D or 2D arrays. If one wants to
% compress a long string, one must convert
% it to uint8 or int8 array first. The compressed
% array uses three extra fields
% "_ArrayZipType_": the opt.Compression value.
% "_ArrayZipSize_": a 1D integer array to
% store the pre-compressed (but post-processed)
% array dimensions, and
% "_ArrayZipData_": the "base64" encoded
% compressed binary array data.
% CompressArraySize [100|int]: only to compress an array if the total
% element count is larger than this number.
% CompressStringSize [inf|int]: only to compress a string if the total
% element count is larger than this number.
% FormatVersion [3|float]: set the JSONLab output version; since
% v2.0, JSONLab uses JData specification Draft 1
% for output format, it is incompatible with all
% previous releases; if old output is desired,
% please set FormatVersion to 1.9 or earlier.
% Encoding ['']: json file encoding. Support all encodings of
% fopen() function
% Append [0|1]: if set to 1, append a new object at the end of the file.
% Endian ['n'|'b','l']: Endianness of the output file ('n': native,
% 'b': big endian, 'l': little-endian)
% PreEncode [1|0]: if set to 1, call jdataencode first to preprocess
% the input data before saving
% BuiltinJSON [0|1]: if set to 1, this function attempts to call
% jsonencode, if presents (MATLAB R2016b or Octave
% 6) first. If jsonencode does not exist or failed,
% this function falls back to the jsonlab savejson
%
% opt can be replaced by a list of ('param',value) pairs. The param
% string is equivalent to a field in opt and is case sensitive.
% output:
% json: a string in the JSON format (see http://json.org)
%
% examples:
% jsonmesh=struct('MeshNode',[0 0 0;1 0 0;0 1 0;1 1 0;0 0 1;1 0 1;0 1 1;1 1 1],...
% 'MeshElem',[1 2 4 8;1 3 4 8;1 2 6 8;1 5 6 8;1 5 7 8;1 3 7 8],...
% 'MeshSurf',[1 2 4;1 2 6;1 3 4;1 3 7;1 5 6;1 5 7;...
% 2 8 4;2 8 6;3 8 4;3 8 7;5 8 6;5 8 7],...
% 'MeshCreator','FangQ','MeshTitle','T6 Cube',...
% 'SpecialData',[nan, inf, -inf]);
% savejson('jmesh',jsonmesh)
% savejson('',jsonmesh,'ArrayIndent',0,'FloatFormat','\t%.5g')
%
% license:
% BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details
%
% -- this function is part of JSONLab toolbox (http://iso2mesh.sf.net/cgi-bin/index.cgi?jsonlab)
%
if (nargin == 1)
varname = inputname(1);
obj = rootname;
rootname = varname;
else
varname = inputname(2);
end
if (length(varargin) == 1 && (ischar(varargin{1}) || isa(varargin{1}, 'string')))
opt = struct('filename', varargin{1});
else
opt = varargin2struct(varargin{:});
end
opt.isoctave = isoctavemesh;
opt.compression = jsonopt('Compression', '', opt);
opt.nestarray = jsonopt('NestArray', 0, opt);
opt.compact = jsonopt('Compact', 0, opt);
opt.singletcell = jsonopt('SingletCell', 1, opt);
opt.singletarray = jsonopt('SingletArray', 0, opt);
opt.formatversion = jsonopt('FormatVersion', 3, opt);
opt.compressarraysize = jsonopt('CompressArraySize', 100, opt);
opt.compressstringsize = jsonopt('CompressStringSize', inf, opt);
opt.intformat = jsonopt('IntFormat', '%.0f', opt);
opt.floatformat = jsonopt('FloatFormat', '%.16g', opt);
opt.unpackhex = jsonopt('UnpackHex', 1, opt);
opt.arraytostruct = jsonopt('ArrayToStruct', 0, opt);
opt.parselogical = jsonopt('ParseLogical', 0, opt);
opt.arrayindent = jsonopt('ArrayIndent', 1, opt);
opt.emptyarrayasnull = jsonopt('EmptyArrayAsNull', 0, opt);
opt.inf = jsonopt('Inf', '"$1_Inf_"', opt);
opt.nan = jsonopt('NaN', '"_NaN_"', opt);
opt.num2cell_ = 0;
opt.nosubstruct_ = 0;
if (jsonopt('BuiltinJSON', 0, opt) && exist('jsonencode', 'builtin'))
try
obj = jdataencode(obj, 'Base64', 1, 'AnnotateArray', 1, 'UseArrayZipSize', 1, opt);
if (isempty(rootname))
json = jsonencode(obj);
else
json = jsonencode(struct(rootname, obj));
end
if (isempty(regexp(json, '^[{\[]', 'once')))
json = ['[', json, ']'];
end
if (nargout > 0)
output = json;
end
return
catch
warning('built-in jsonencode function failed to encode the data, fallback to savejson');
end
end
if (jsonopt('PreEncode', 1, opt))
obj = jdataencode(obj, 'Base64', 1, 'UseArrayZipSize', 0, opt);
end
dozip = opt.compression;
if (~isempty(dozip))
if (~ismember(dozip, {'zlib', 'gzip', 'lzma', 'lzip', 'lz4', 'lz4hc'}) && isempty(regexp(dozip, '^blosc2', 'once')))
error('compression method "%s" is not supported', dozip);
end
if (exist('zmat', 'file') ~= 2 && exist('zmat', 'file') ~= 3)
try
error(javachk('jvm'));
try
base64decode('test');
catch
matlab.net.base64decode('test');
end
catch
error('java-based compression is not supported');
end
end
opt.Compression = dozip;
end
rootisarray = 0;
rootlevel = 1;
forceroot = jsonopt('ForceRootName', 0, opt);
if ((isnumeric(obj) || islogical(obj) || ischar(obj) || isstruct(obj) || ...
iscell(obj) || isobject(obj)) && isempty(rootname) && forceroot == 0)
rootisarray = 1;
rootlevel = 0;
else
if (isempty(rootname))
rootname = varname;
end
end
if ((isa(obj, 'containers.Map') && ~strcmp(obj.KeyType, 'char')) || (isa(obj, 'dictionary') && ~strcmp(obj.types, 'string')))
rootisarray = 0;
end
if ((isstruct(obj) || iscell(obj)) && isempty(rootname) && forceroot)
rootname = 'root';
end
whitespaces = struct('tab', sprintf('\t'), 'newline', sprintf('\n'), 'sep', sprintf(',\n'));
if (opt.compact == 1)
whitespaces = struct('tab', '', 'newline', '', 'sep', ',');
end
if (~isfield(opt, 'whitespaces_'))
opt.whitespaces_ = whitespaces;
end
nl = whitespaces.newline;
json = obj2json(rootname, obj, rootlevel, opt);
if (rootisarray)
json = sprintf('%s%s', json, nl);
else
json = sprintf('{%s%s%s}\n', nl, json, nl);
end
jsonp = jsonopt('JSONP', '', opt);
if (~isempty(jsonp))
json = sprintf('%s(%s);%s', jsonp, json, nl);
end
% save to a file if FileName is set, suggested by Patrick Rapin
filename = jsonopt('FileName', '', opt);
if (~isempty(filename))
if (jsonopt('UTF8', 1, opt) && exist('unicode2native', 'builtin'))
json = unicode2native(json);
end
encoding = jsonopt('Encoding', '', opt);
endian = jsonopt('Endian', 'n', opt);
mode = 'w';
if (jsonopt('Append', 0, opt))
mode = 'a';
end
if (jsonopt('SaveBinary', 1, opt) == 1)
if (isempty(encoding))
fid = fopen(filename, [mode 'b'], endian);
else
fid = fopen(filename, [mode 'b'], endian, encoding);
end
fwrite(fid, json);
else
if (isempty(encoding))
fid = fopen(filename, [mode 't'], endian);
else
fid = fopen(filename, [mode 't'], endian, encoding);
end
fwrite(fid, json, 'char');
end
fclose(fid);
end
if (nargout > 0 || isempty(filename))
output = json;
end
%% -------------------------------------------------------------------------
function txt = obj2json(name, item, level, varargin)
if (iscell(item) || isa(item, 'string'))
txt = cell2json(name, item, level, varargin{:});
elseif (isa(item, 'jdict'))
txt = obj2json(name, item, level, varargin{:});
elseif (isstruct(item))
txt = struct2json(name, item, level, varargin{:});
elseif (isnumeric(item) || islogical(item) || isa(item, 'timeseries'))
txt = mat2json(name, item, level, varargin{:});
elseif (ischar(item))
if (~isempty(varargin{1}.compression) && numel(item) >= varargin{1}.compressstringsize)
txt = mat2json(name, item, level, varargin{:});
else
txt = str2json(name, item, level, varargin{:});
end
elseif (isa(item, 'function_handle'))
txt = struct2json(name, functions(item), level, varargin{:});
elseif (isa(item, 'containers.Map') || isa(item, 'dictionary'))
txt = map2json(name, item, level, varargin{:});
elseif (isa(item, 'categorical'))
txt = cell2json(name, cellstr(item), level, varargin{:});
elseif (isa(item, 'table'))
txt = matlabtable2json(name, item, level, varargin{:});
elseif (isa(item, 'graph') || isa(item, 'digraph'))
txt = struct2json(name, jdataencode(item), level, varargin{:});
elseif (isobject(item))
txt = matlabobject2json(name, item, level, varargin{:});
else
txt = any2json(name, item, level, varargin{:});
end
%% -------------------------------------------------------------------------
function txt = cell2json(name, item, level, varargin)
txt = {};
if (~iscell(item) && ~isa(item, 'string'))
error('input is not a cell or string array');
end
isnum2cell = varargin{1}.num2cell_;
if (isnum2cell)
item = squeeze(item);
if (~isvector(item))
item = permute(item, ndims(item):-1:1);
end
end
dim = size(item);
len = numel(item);
ws = varargin{1}.whitespaces_;
padding0 = repmat(ws.tab, 1, level);
nl = ws.newline;
bracketlevel = ~varargin{1}.singletcell;
if (len > bracketlevel)
if (~isempty(name))
txt = {padding0, '"', decodevarname(name, varargin{1}.unpackhex), '":[', nl};
name = '';
else
txt = {padding0, '[', nl};
end
elseif (len == 0)
if (~isempty(name))
txt = {padding0, '"' decodevarname(name, varargin{1}.unpackhex) '":[]'};
name = '';
else
txt = {padding0, '[]'};
end
txt = sprintf('%s', txt{:});
return
end
if (size(item, 1) > 1)
item = num2cell(item, 2:ndims(item))';
end
idx = num2cell(1:length(item));
sep = {[',' nl], ''};
txt = [txt{:}, cellfun(@(x, id) [obj2json(name, x, level + (dim(1) > 1) + (len > bracketlevel), varargin{:}), sep{(id == length(item)) + 1}], item, idx, 'UniformOutput', false)];
if (len > bracketlevel)
txt(end + 1:end + 3) = {nl, padding0, ']'};
end
txt = sprintf('%s', txt{:});
%% -------------------------------------------------------------------------
function txt = struct2json(name, item, level, varargin)
txt = {};
if (~isstruct(item))
error('input is not a struct');
end
dim = size(item);
if (ndims(squeeze(item)) > 2) % for 3D or higher dimensions, flatten to 2D for now
item = reshape(item, dim(1), numel(item) / dim(1));
dim = size(item);
end
len = numel(item);
forcearray = (len > 1 || (varargin{1}.singletarray == 1 && level > 0));
ws = varargin{1}.whitespaces_;
padding0 = repmat(ws.tab, 1, level);
padding2 = repmat(ws.tab, 1, level + 1);
padding1 = repmat(ws.tab, 1, level + (dim(1) > 1) + forcearray);
nl = ws.newline;
if (isfield(item, encodevarname('_ArrayType_', varargin{1}.unpackhex)))
varargin{1}.nosubstruct_ = 1;
end
if (isempty(item))
if (~isempty(name))
txt = {padding0, '"', decodevarname(name, varargin{1}.unpackhex), '":[]'};
else
txt = {padding0, '[]'};
end
txt = sprintf('%s', txt{:});
return
end
if (~isempty(name))
if (forcearray)
txt = {padding0, '"', decodevarname(name, varargin{1}.unpackhex), '":[', nl};
end
else
if (forcearray)
txt = {padding0, '[', nl};
end
end
for j = 1:dim(2)
if (dim(1) > 1)
txt(end + 1:end + 3) = {padding2, '[', nl};
end
for i = 1:dim(1)
names = fieldnames(item(i, j));
if (~isempty(name) && len == 1 && ~forcearray)
txt(end + 1:end + 5) = {padding1, '"', decodevarname(name, varargin{1}.unpackhex), '":{', nl};
else
txt(end + 1:end + 3) = {padding1, '{', nl};
end
if (~isempty(names))
for e = 1:length(names)
if (varargin{1}.nosubstruct_ && ischar(item(i, j).(names{e})) || ...
strcmp(names{e}, encodevarname('_ByteStream_')))
txt{end + 1} = str2json(names{e}, item(i, j).(names{e}), ...
level + (dim(1) > 1) + 1 + forcearray, varargin{:});
else
txt{end + 1} = obj2json(names{e}, item(i, j).(names{e}), ...
level + (dim(1) > 1) + 1 + forcearray, varargin{:});
end
if (e < length(names))
txt{end + 1} = ',';
end
txt{end + 1} = nl;
end
end
txt(end + 1:end + 2) = {padding1, '}'};
if (i < dim(1))
txt(end + 1:end + 2) = {',' nl};
end
end
if (dim(1) > 1)
txt(end + 1:end + 3) = {nl, padding2, ']'};
end
if (j < dim(2))
txt(end + 1:end + 2) = {',' nl};
end
end
if (forcearray)
txt(end + 1:end + 3) = {nl, padding0, ']'};
end
txt = sprintf('%s', txt{:});
%% -------------------------------------------------------------------------
function txt = map2json(name, item, level, varargin)
txt = {};
itemtype = isa(item, 'containers.Map');
dim = size(item);
if (isa(item, 'dictionary'))
itemtype = 2;
dim = item.numEntries;
end
if (itemtype == 0)
error('input is not a containers.Map or dictionary class');
end
names = keys(item);
val = values(item);
if (~iscell(names))
names = num2cell(names, ndims(names));
end
if (~iscell(val))
val = num2cell(val, ndims(val));
end
if ((itemtype == 1 && ~strcmp(item.KeyType, 'char')) || (itemtype == 2 && ~strcmp(item.types, 'string')))
mm = cell(1, length(names));
for i = 1:length(names)
mm{i} = {names{i}, val{i}};
end
if (isempty(name))
txt = obj2json('_MapData_', mm, level + 1, varargin{:});
else
temp = struct(name, struct());
if (varargin{1}.isoctave)
temp.(name).('_MapData_') = mm;
else
temp.(name).('x0x5F_MapData_') = mm;
end
txt = obj2json(name, temp.(name), level, varargin{:});
end
return
end
ws = varargin{1}.whitespaces_;
padding0 = repmat(ws.tab, 1, level);
nl = ws.newline;
if (isempty(item))
if (~isempty(name))
txt = {padding0, '"', decodevarname(name, varargin{1}.unpackhex), '":[]'};
else
txt = {padding0, '[]'};
end
txt = sprintf('%s', txt{:});
return
end
if (~isempty(name))
txt = {padding0, '"', decodevarname(name, varargin{1}.unpackhex), '":{', nl};
else
txt = {padding0, '{', nl};
end
for i = 1:dim(1)
if (isempty(names{i}))
txt{end + 1} = obj2json('x0x0_', val{i}, level + 1, varargin{:});
else
txt{end + 1} = obj2json(names{i}, val{i}, level + 1, varargin{:});
end
if (i < length(names))
txt{end + 1} = ',';
end
if (i < dim(1))
txt{end + 1} = nl;
end
end
txt(end + 1:end + 3) = {nl, padding0, '}'};
txt = sprintf('%s', txt{:});
%% -------------------------------------------------------------------------
function txt = str2json(name, item, level, varargin)
txt = {};
if (~ischar(item))
error('input is not a string');
end
item = reshape(item, max(size(item), [1 0]));
len = size(item, 1);
ws = varargin{1}.whitespaces_;
padding1 = repmat(ws.tab, 1, level);
padding0 = repmat(ws.tab, 1, level + 1);
nl = ws.newline;
sep = ws.sep;
if (~isempty(name))
if (len > 1)
txt = {padding1, '"', decodevarname(name, varargin{1}.unpackhex), '":[', nl};
end
else
if (len > 1)
txt = {padding1, '[', nl};
end
end
for e = 1:len
if (strcmp('_ArrayZipData_', decodevarname(name, varargin{1}.unpackhex)) == 0)
val = escapejsonstring(item(e, :), varargin{:});
else
val = item(e, :);
end
if (len == 1)
obj = ['"' decodevarname(name, varargin{1}.unpackhex) '":' '"', val, '"'];
if (isempty(name))
obj = ['"', val, '"'];
end
txt(end + 1:end + 2) = {padding1, obj};
else
txt(end + 1:end + 4) = {padding0, '"', val, '"'};
end
if (e == len)
sep = '';
end
txt{end + 1} = sep;
end
if (len > 1)
txt(end + 1:end + 3) = {nl, padding1, ']'};
end
txt = sprintf('%s', txt{:});
%% -------------------------------------------------------------------------
function txt = mat2json(name, item, level, varargin)
if (~isnumeric(item) && ~islogical(item) && ~ischar(item))
error('input is not an array');
end
opt = varargin{1};
ws = opt.whitespaces_;
padding1 = repmat(ws.tab, 1, level);
padding0 = repmat(ws.tab, 1, level + 1);
nl = ws.newline;
sep = ws.sep;
dozip = opt.compression;
zipsize = opt.compressarraysize;
format = opt.formatversion;
isnest = opt.nestarray;
if (isa(item, 'timeseries'))
if (item.TimeInfo.isUniform && item.TimeInfo.Increment == 1)
if (ndims(item.Data) == 3 && size(item.Data, 1) == 1 && size(item.Data, 2) == 1)
item = permute(item.Data, [2 3 1]);
else
item = squeeze(item.Data);
end
else
item = [item.Time squeeze(item.Data)];
end
end
if (~opt.nosubstruct_ && (((isnest == 0) && length(size(item)) > 2) || issparse(item) || ~isreal(item) || ...
(isempty(item) && any(size(item))) || opt.arraytostruct || (~isempty(dozip) && numel(item) > zipsize)))
if (isempty(name))
txt = sprintf('%s{%s%s"_ArrayType_":"%s",%s%s"_ArraySize_":%s,%s', ...
padding1, nl, padding0, class(item), nl, padding0, regexprep(mat2str(size(item)), '\s+', ','), nl);
else
txt = sprintf('%s"%s":{%s%s"_ArrayType_":"%s",%s%s"_ArraySize_":%s,%s', ...
padding1, decodevarname(name, opt.unpackhex), nl, padding0, class(item), nl, padding0, regexprep(mat2str(size(item)), '\s+', ','), nl);
end
else
numtxt = matdata2json(item, level + 1, varargin{:});
if (isempty(name))
txt = sprintf('%s%s', padding1, numtxt);
else
if (numel(item) == 1 && varargin{1}.singletarray == 0)
txt = sprintf('%s"%s":%s', padding1, decodevarname(name, opt.unpackhex), numtxt);
else
txt = sprintf('%s"%s":%s', padding1, decodevarname(name, opt.unpackhex), numtxt);
end
end
return
end
dataformat = '%s%s%s%s%s';
if (issparse(item))
[ix, iy] = find(item);
data = full(item(find(item)));
if (~isreal(item))
data = [real(data(:)), imag(data(:))];
if (size(item, 1) == 1)
% Kludge to have data's 'transposedness' match item's.
% (Necessary for complex row vector handling below.)
data = data';
end
txt = sprintf(dataformat, txt, padding0, '"_ArrayIsComplex_":', 'true', sep);
end
txt = sprintf(dataformat, txt, padding0, '"_ArrayIsSparse_":', 'true', sep);
if (~isempty(dozip) && numel(data * 2) > zipsize)
if (size(item, 1) == 1)
% Row vector, store only column indices.
fulldata = [iy(:), data'];
elseif (size(item, 2) == 1)
% Column vector, store only row indices.
fulldata = [ix, data];
else
% General case, store row and column indices.
fulldata = [ix, iy, data];
end
txt = sprintf(dataformat, txt, padding0, '"_ArrayZipSize_":', regexprep(mat2str(size(fulldata)), '\s+', ','), sep);
txt = sprintf(dataformat, txt, padding0, '"_ArrayZipType_":"', dozip, ['"' sep]);
compfun = str2func([dozip 'encode']);
txt = sprintf(dataformat, txt, padding0, '"_ArrayZipData_":"', base64encode(compfun(typecast(fulldata(:), 'uint8'))), ['"' nl]);
else
if (size(item, 1) == 1)
% Row vector, store only column indices.
fulldata = [iy(:), data'];
elseif (size(item, 2) == 1)
% Column vector, store only row indices.
fulldata = [ix, data];
else
% General case, store row and column indices.
fulldata = [ix, iy, data];
end
txt = sprintf(dataformat, txt, padding0, '"_ArrayData_":', ...
matdata2json(fulldata', level + 2, varargin{:}), nl);
end
else
if (format > 1.9)
item = permute(item, ndims(item):-1:1);
end
if (~isempty(dozip) && numel(item) > zipsize)
if (isreal(item))
fulldata = item(:)';
if (islogical(fulldata) || ischar(fulldata))
fulldata = uint8(fulldata);
end
else
txt = sprintf(dataformat, txt, padding0, '"_ArrayIsComplex_":', 'true', sep);
fulldata = [real(item(:)) imag(item(:))]';
end
txt = sprintf(dataformat, txt, padding0, '"_ArrayZipSize_":', regexprep(mat2str(size(fulldata)), '\s+', ','), sep);
txt = sprintf(dataformat, txt, padding0, '"_ArrayZipType_":"', dozip, ['"' sep]);
encodeparam = {};
if (~isempty(regexp(dozip, '^blosc2', 'once')))
compfun = @blosc2encode;
encodeparam = {dozip, 'nthread', jsonopt('nthread', 1, opt), 'shuffle', jsonopt('shuffle', 1, opt), 'typesize', jsonopt('typesize', length(typecast(fulldata(1), 'uint8')), opt)};
else
compfun = str2func([dozip 'encode']);
end
txt = sprintf(dataformat, txt, padding0, '"_ArrayZipData_":"', char(base64encode(compfun(typecast(fulldata(:), 'uint8'), encodeparam{:}))), ['"' nl]);
else
if (isreal(item))
txt = sprintf(dataformat, txt, padding0, '"_ArrayData_":', ...
matdata2json(item(:)', level + 2, varargin{:}), nl);
else
txt = sprintf(dataformat, txt, padding0, '"_ArrayIsComplex_":', 'true', sep);
txt = sprintf(dataformat, txt, padding0, '"_ArrayData_":', ...
matdata2json([real(item(:)) imag(item(:))]', level + 2, varargin{:}), nl);
end
end
end
txt = sprintf('%s%s%s', txt, padding1, '}');
%% -------------------------------------------------------------------------
function txt = matlabobject2json(name, item, level, varargin)
try
if numel(item) == 0 % empty object
st = struct();
elseif numel(item) == 1 %
txt = str2json(name, char(item), level, varargin{:});
return
else
propertynames = properties(item);
for p = 1:numel(propertynames)
for o = numel(item):-1:1 % array of objects
st(o).(propertynames{p}) = item(o).(propertynames{p});
end
end
end
txt = struct2json(name, st, level, varargin{:});
catch
txt = any2json(name, item, level, varargin{:});
end
%% -------------------------------------------------------------------------
function txt = matlabtable2json(name, item, level, varargin)
st = containers.Map();
st('_TableRecords_') = table2cell(item);
st('_TableRows_') = item.Properties.RowNames';
st('_TableCols_') = item.Properties.VariableNames;
if (isempty(name))
txt = map2json(name, st, level, varargin{:});
else
temp = struct(name, struct());
temp.(name) = st;
txt = map2json(name, temp.(name), level, varargin{:});
end
%% -------------------------------------------------------------------------
function txt = matdata2json(mat, level, varargin)
ws = varargin{1}.whitespaces_;
tab = ws.tab;
nl = ws.newline;
isnest = varargin{1}.nestarray;
format = varargin{1}.formatversion;
isnum2cell = varargin{1}.num2cell_;
if (~isvector(mat) && isnest == 1)
if (format > 1.9 && isnum2cell == 0)
mat = permute(mat, ndims(mat):-1:1);
end
varargin{1}.num2cell_ = 1;
varargin{1}.singletcell = 0;
txt = cell2json('', num2cell(mat, 1), level - 1, varargin{:});
return
elseif (isvector(mat) && isnum2cell == 1)
mat = mat(:).';
end
if (size(mat, 1) == 1)
pre = '';
post = '';
level = level - 1;
else
pre = sprintf('[%s', nl);
post = sprintf('%s%s]', nl, repmat(tab, 1, level - 1));
end
if (isempty(mat))
if (varargin{1}.emptyarrayasnull)
txt = 'null';
else
txt = '[]';
end
return
end
if (isinteger(mat))
floatformat = varargin{1}.intformat;
else
floatformat = varargin{1}.floatformat;
end
if (numel(mat) == 1 && varargin{1}.singletarray == 0 && level > 0)
formatstr = [repmat([floatformat ','], 1, size(mat, 2) - 1) [floatformat sprintf(',%s', nl)]];
else
formatstr = ['[' repmat([floatformat ','], 1, size(mat, 2) - 1) [floatformat sprintf('],%s', nl)]];
end
if (nargin >= 2 && size(mat, 1) > 1 && varargin{1}.arrayindent == 1)
formatstr = [repmat(tab, 1, level) formatstr];
end
txt = sprintf(formatstr, permute(mat, ndims(mat):-1:1));
txt(end - length(nl):end) = [];
if (islogical(mat) && (numel(mat) == 1 || varargin{1}.parselogical == 1))
txt = regexprep(txt, '1', 'true');
txt = regexprep(txt, '0', 'false');
end
txt = [pre txt post];
if (any(isinf(mat(:))))
txt = regexprep(txt, '([-+]*)Inf', varargin{1}.inf);
end
if (any(isnan(mat(:))))
txt = regexprep(txt, 'NaN', varargin{1}.nan);
end
%% -------------------------------------------------------------------------
function txt = any2json(name, item, level, varargin)
st = containers.Map();
st('_DataInfo_') = struct('MATLABObjectName', name, 'MATLABObjectClass', class(item), 'MATLABObjectSize', size(item));
st('_ByteStream_') = char(base64encode(getByteStreamFromArray(item)));
if (isempty(name))
txt = map2json(name, st, level, varargin{:});
else
temp = struct(name, struct());
temp.(name) = st;
txt = map2json(name, temp.(name), level, varargin{:});
end
%% -------------------------------------------------------------------------
function newstr = escapejsonstring(str, varargin)
newstr = str;
if (isempty(str) || isempty(regexp(str, '\W', 'once')))
return
end
isoct = varargin{1}.isoctave;
if (isoct)
vv = sscanf(OCTAVE_VERSION, '%f');
if (vv(1) >= 3.8)
isoct = 0;
end
end
if (isoct)
escapechars = {'\\', '\"', '\a', '\f', '\n', '\r', '\t', '\v'};
for i = 1:length(escapechars)
newstr = regexprep(newstr, escapechars{i}, escapechars{i});
end
newstr = regexprep(newstr, '\\\\(u[0-9a-fA-F]{4}[^0-9a-fA-F]*)', '\$1');
else
escapechars = {'\\', '\"', '\a', '\b', '\f', '\n', '\r', '\t', '\v'};
esc = {'\\\\', '\\"', '\\a', '\\b', '\\f', '\\n', '\\r', '\\t', '\\v'};
for i = 1:length(escapechars)
newstr = regexprep(newstr, escapechars{i}, esc{i});
end
newstr = regexprep(newstr, '\\\\(u[0-9a-fA-F]{4}[^0-9a-fA-F]*)', '\\$1');
end