/
schema.py
787 lines (655 loc) · 26.1 KB
/
schema.py
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
from __future__ import absolute_import
import datetime
import math
import operator
import uuid
import warnings
from lxml.builder import E
import lxml.etree
from .dates import datetime_from_w3_datestring
from .strings import RawString, SolrString, WildcardString
try:
import pytz
except ImportError:
warnings.warn(
"pytz not found; cannot do timezone conversions for Solr DateFields",
ImportWarning)
pytz = None
class SolrError(Exception):
pass
class solr_date(object):
"""This class can be initialized from either native python datetime
objects and mx.DateTime objects, and will serialize to a format
appropriate for Solr"""
def __init__(self, v):
if isinstance(v, solr_date):
self._dt_obj = v._dt_obj
elif isinstance(v, basestring):
try:
self._dt_obj = datetime_from_w3_datestring(v)
except ValueError, e:
raise SolrError(*e.args)
elif hasattr(v, "strftime"):
self._dt_obj = self.from_date(v)
else:
raise SolrError("Cannot initialize solr_date from %s object"
% type(v))
@staticmethod
def from_date(dt_obj):
# Python datetime objects may include timezone information
if hasattr(dt_obj, 'tzinfo') and dt_obj.tzinfo:
# but Solr requires UTC times.
if pytz:
return dt_obj.astimezone(pytz.utc).replace(tzinfo=None)
else:
raise EnvironmentError("pytz not available, cannot do timezone conversions")
else:
return dt_obj
@property
def microsecond(self):
if hasattr(self._dt_obj, "microsecond"):
return self._dt_obj.microsecond
else:
return int(1000000*math.modf(self._dt_obj.second)[0])
def __repr__(self):
return repr(self._dt_obj)
def __unicode__(self):
""" Serialize a datetime object in the format required
by Solr. See http://wiki.apache.org/solr/IndexingDates
"""
if hasattr(self._dt_obj, 'isoformat'):
return "%sZ" % (self._dt_obj.isoformat(), )
strtime = self._dt_obj.strftime("%Y-%m-%dT%H:%M:%S")
microsecond = self.microsecond
if microsecond:
return u"%s.%06dZ" % (strtime, microsecond)
return u"%sZ" % (strtime,)
def __cmp__(self, other):
try:
other = other._dt_obj
except AttributeError:
pass
if self._dt_obj < other:
return -1
elif self._dt_obj > other:
return 1
else:
return 0
def solr_point_factory(dimension):
if dimension < 1:
raise ValueError("dimension of PointType must be greater than one")
class solr_point(object):
dim = int(dimension)
def __init__(self, *args):
if dimension > 1 and len(args) == 1:
v = args[0]
if isinstance(v, basestring):
v_arr = v.split(',')
else:
try:
v_arr = list(v)
except TypeError:
raise ValueError("bad value provided for point list")
else:
v_arr = args
if len(v_arr) != self.dim:
raise ValueError("point has wrong number of dimensions")
self.point = tuple(float(v) for v in v_arr)
def __repr__(self):
return "solr_point(%s)" % unicode(self)
def __unicode__(self):
return ','.join(str(p) for p in self.point)
return solr_point
class SolrField(object):
def __init__(self, name, indexed=None, stored=None, required=False, multiValued=False, dynamic=False, **kwargs):
self.name = name
if indexed is not None:
self.indexed = indexed
if stored is not None:
self.stored = stored
# By default, indexed & stored are taken from the class attribute
self.multi_valued = multiValued
self.required = required
self.dynamic = dynamic
if dynamic:
if self.name.startswith("*"):
self.wildcard_at_start = True
elif self.name.endswith("*"):
self.wildcard_at_start = False
else:
raise SolrError("Dynamic fields must have * at start or end of name (field %s)" %
self.name)
def match(self, name):
if self.dynamic:
if self.wildcard_at_start:
return name.endswith(self.name[1:])
else:
return name.startswith(self.name[:-1])
def normalize(self, value):
""" Normalize the given value according to the field type.
This method does nothing by default, returning the given value
as is. Child classes may override this method as required.
"""
return value
def instance_from_user_data(self, data):
return SolrFieldInstance.from_user_data(self, data)
def to_user_data(self, value):
return value
def from_user_data(self, value):
return self.normalize(value)
def to_solr(self, value):
return unicode(value)
def to_query(self, value):
return RawString(self.to_solr(value)).escape_for_lqs_term()
def from_solr(self, value):
return self.normalize(value)
class SolrUnicodeField(SolrField):
def from_user_data(self, value):
if isinstance(value, SolrString):
return value
else:
return WildcardString(unicode(value))
def to_query(self, value):
return value.escape_for_lqs_term()
def from_solr(self, value):
try:
return unicode(value)
except UnicodeError:
raise SolrError("%s could not be coerced to unicode (field %s)" %
(value, self.name))
class SolrBooleanField(SolrField):
def to_solr(self, value):
return u"true" if value else u"false"
def normalize(self, value):
if isinstance(value, basestring):
if value.lower() == "true":
return True
elif value.lower() == "false":
return False
else:
raise ValueError("sorry, I only understand simple boolean strings (field %s)" %
self.name)
return bool(value)
class SolrBinaryField(SolrField):
def from_user_data(self, value):
try:
return str(value)
except (TypeError, ValueError):
raise SolrError("Could not convert data to binary string (field %s)" %
self.name)
def to_solr(self, value):
return unicode(value.encode('base64'))
def from_solr(self, value):
return value.decode('base64')
class SolrNumericalField(SolrField):
def normalize(self, value):
try:
v = self.base_type(value)
except (OverflowError, TypeError, ValueError):
raise SolrError("%s is invalid value for %s (field %s)" %
(value, self.__class__, self.name))
if v < self.min or v > self.max:
raise SolrError("%s out of range for a %s (field %s)" %
(value, self.__class__, self.name))
return v
class SolrShortField(SolrNumericalField):
base_type = int
min = -(2**15)
max = 2**15-1
class SolrIntField(SolrNumericalField):
base_type = int
min = -(2**31)
max = 2**31-1
class SolrLongField(SolrNumericalField):
base_type = long
min = -(2**63)
max = 2**63-1
class SolrFloatField(SolrNumericalField):
base_type = float
max = (2.0-2.0**(-23)) * 2.0**127
min = -max
class SolrDoubleField(SolrNumericalField):
base_type = float
max = (2.0-2.0**(-52)) * 2.0**1023
min = -max
class SolrDateField(SolrField):
def normalize(self, v):
return solr_date(v)
def to_user_data(self, v):
return v._dt_obj
class SolrRandomField(SolrField):
def normalize(self, v):
raise TypeError("Don't try and store or index values in a RandomSortField")
class SolrUUIDField(SolrUnicodeField):
def from_solr(self, v):
return uuid.UUID(v)
def from_user_data(self, v):
if v == 'NEW':
return v
elif isinstance(v, uuid.UUID):
return v
else:
return uuid.UUID(v)
def to_solr(self, v):
if v == 'NEW':
return v
else:
return v.urn[9:]
class SolrPointField(SolrField):
def __init__(self, **kwargs):
super(SolrPointField, self).__init__(**kwargs)
# dimension will be set by the subclass
self.value_class = solr_point_factory(self.dimension)
def to_solr(self, v):
return unicode(self.value_class(v))
def normalize(self, v):
return self.value_class(v).point
class SolrPoint2Field(SolrPointField):
dimension = 2
def SolrFieldTypeFactory(cls, name, **kwargs):
atts = {'stored':True, 'indexed':True}
atts.update(kwargs)
# This next because otherwise the class names aren't globally
# visible or useful, which is confusing for debugging.
# We give the new class a name which uniquely identifies it
# (but we don't need Solr class, because we've got the same
# information in cls anyway.
name = 'SolrFieldType_%s_%s' % (cls.__name__, '_'.join('%s_%s' % kv for kv in sorted(atts.items()) if kv[0] != 'class'))
# and its safe to put in globals(), because the class is
# defined by the constituents of its name.
if name not in globals():
globals()[name] = type(name, (cls,), atts)
return globals()[name]
class SolrFieldInstance(object):
@classmethod
def from_solr(cls, field, data):
self = cls()
self.field = field
self.value = self.field.from_solr(data)
return self
@classmethod
def from_user_data(cls, field, data):
self = cls()
self.field = field
self.value = self.field.from_user_data(data)
return self
def to_solr(self):
return self.field.to_solr(self.value)
def to_query(self):
return self.field.to_query(self.value)
def to_user_data(self):
return self.field.to_user_data(self.value)
# These are artificial field classes/instances:
class SolrWildcardField(SolrUnicodeField):
def __init__(self):
pass
class SolrScoreField(SolrDoubleField):
def __init__(self):
pass
class WildcardFieldInstance(SolrFieldInstance):
@classmethod
def from_user_data(cls):
return super(WildcardFieldInstance, cls).from_user_data(SolrWildcardField(), "*")
class SolrSchema(object):
solr_data_types = {
'solr.StrField':SolrUnicodeField,
'solr.TextField':SolrUnicodeField,
'solr.BoolField':SolrBooleanField,
'solr.ShortField':SolrShortField,
'solr.IntField':SolrIntField,
'solr.SortableIntField':SolrIntField,
'solr.TrieIntField':SolrIntField,
'solr.LongField':SolrLongField,
'solr.SortableLongField':SolrLongField,
'solr.TrieLongField':SolrLongField,
'solr.FloatField':SolrFloatField,
'solr.SortableFloatField':SolrFloatField,
'solr.TrieFloatField':SolrFloatField,
'solr.DoubleField':SolrDoubleField,
'solr.SortableDoubleField':SolrDoubleField,
'solr.TrieDoubleField':SolrDoubleField,
'solr.DateField':SolrDateField,
'solr.TrieDateField':SolrDateField,
'solr.RandomSortField':SolrRandomField,
'solr.UUIDField':SolrUUIDField,
'solr.BinaryField':SolrBinaryField,
'solr.PointType':SolrPointField,
'solr.LatLonType':SolrPoint2Field,
'solr.GeoHashField':SolrPoint2Field,
}
def __init__(self, f):
"""initialize a schema object from a
filename or file-like object."""
self.fields, self.dynamic_fields, self.default_field_name, self.unique_key \
= self.schema_parse(f)
self.default_field = self.fields[self.default_field_name] \
if self.default_field_name else None
self.unique_field = self.fields[self.unique_key] \
if self.unique_key else None
def Q(self, *args, **kwargs):
from .search import LuceneQuery
q = LuceneQuery(self)
q.add(args, kwargs)
return q
def schema_parse(self, f):
try:
schemadoc = lxml.etree.parse(f)
except lxml.etree.XMLSyntaxError, e:
raise SolrError("Invalid XML in schema:\n%s" % e.args[0])
field_type_classes = {}
for field_type_node in schemadoc.xpath("/schema/types/fieldType|/schema/types/fieldtype"):
name, field_type_class = self.field_type_factory(field_type_node)
field_type_classes[name] = field_type_class
field_classes = {}
for field_node in schemadoc.xpath("/schema/fields/field"):
name, field_class = self.field_factory(field_node, field_type_classes, dynamic=False)
field_classes[name] = field_class
dynamic_field_classes = []
for field_node in schemadoc.xpath("/schema/fields/dynamicField"):
_, field_class = self.field_factory(field_node, field_type_classes, dynamic=True)
dynamic_field_classes.append(field_class)
default_field_name = schemadoc.xpath("/schema/defaultSearchField")
default_field_name = default_field_name[0].text \
if default_field_name else None
unique_key = schemadoc.xpath("/schema/uniqueKey")
unique_key = unique_key[0].text if unique_key else None
return field_classes, dynamic_field_classes, default_field_name, unique_key
def field_type_factory(self, field_type_node):
try:
name, class_name = field_type_node.attrib['name'], field_type_node.attrib['class']
except KeyError, e:
raise SolrError("Invalid schema.xml: missing %s attribute on fieldType" % e.args[0])
#Obtain field type for given class. Defaults to generic SolrField.
field_class = self.solr_data_types.get(class_name, SolrField)
return name, SolrFieldTypeFactory(field_class,
**self.translate_attributes(field_type_node.attrib))
def field_factory(self, field_node, field_type_classes, dynamic):
try:
name, field_type = field_node.attrib['name'], field_node.attrib['type']
except KeyError, e:
raise SolrError("Invalid schema.xml: missing %s attribute on field" % e.args[0])
try:
field_type_class = field_type_classes[field_type]
except KeyError, e:
raise SolrError("Invalid schema.xml: %s field_type undefined" % field_type)
return name, field_type_class(dynamic=dynamic,
**self.translate_attributes(field_node.attrib))
# From XML Datatypes
attrib_translator = {"true": True, "1": True, "false": False, "0": False}
def translate_attributes(self, attribs):
return dict((k, self.attrib_translator.get(v, v))
for k, v in attribs.items())
def missing_fields(self, field_names):
return [name for name in set(self.fields.keys()) - set(field_names)
if self.fields[name].required]
def check_fields(self, field_names, required_atts=None):
if isinstance(field_names, basestring):
field_names = [field_names]
if required_atts is None:
required_atts = {}
undefined_field_names = []
for field_name in field_names:
field = self.match_field(field_name)
if not field:
undefined_field_names.append(field_name)
else:
for k, v in required_atts.items():
if getattr(field, k) != v:
raise SolrError("Field '%s' does not have %s=%s" % (field_name, k, v))
if undefined_field_names:
raise SolrError("Fields not defined in schema: %s" % list(undefined_field_names))
def match_dynamic_field(self, name):
for field in self.dynamic_fields:
if field.match(name):
return field
def match_field(self, name):
try:
return self.fields[name]
except KeyError:
field = self.match_dynamic_field(name)
return field
def field_from_user_data(self, k, v):
field = self.match_field(k)
if not field:
raise SolrError("No such field '%s' in current schema" % k)
return field.instance_from_user_data(v)
def make_update(self, docs):
return SolrUpdate(self, docs)
def make_delete(self, docs, query):
return SolrDelete(self, docs, query)
def parse_response(self, msg):
return SolrResponse.from_xml(self, msg)
def parse_result_doc(self, doc, name=None):
if name is None:
name = doc.attrib.get('name')
if doc.tag in ('lst', 'arr'):
values = [self.parse_result_doc(n, name) for n in doc.getchildren()]
return name, tuple(v[1] for v in values)
if doc.tag in 'doc':
return dict([self.parse_result_doc(n) for n in doc.getchildren()])
field_class = self.match_field(name)
if field_class is None and name == "score":
field_class = SolrScoreField()
elif field_class is None:
raise SolrError("unexpected field found in result (field name: %s)" % name)
return name, SolrFieldInstance.from_solr(field_class, doc.text or '').to_user_data()
class SolrUpdate(object):
ADD = E.add
DOC = E.doc
FIELD = E.field
def __init__(self, schema, docs):
self.schema = schema
self.xml = self.add(docs)
def fields(self, name, values):
# values may be multivalued - so we treat that as the default case
if not hasattr(values, "__iter__"):
values = [values]
field_values = [self.schema.field_from_user_data(name, value) for value in values]
return [self.FIELD({'name':name}, field_value.to_solr())
for field_value in field_values]
def doc(self, doc):
missing_fields = self.schema.missing_fields(doc.keys())
if missing_fields:
raise SolrError("These required fields are unspecified:\n %s" %
missing_fields)
if not doc:
return self.DOC()
else:
return self.DOC(*reduce(operator.add,
[self.fields(name, values)
for name, values in doc.items()]))
def add(self, docs):
if hasattr(docs, "items") or not hasattr(docs, "__iter__"):
# is a dictionary, or anything else except a list
docs = [docs]
docs = [(doc if hasattr(doc, "items")
else object_to_dict(doc, self.schema))
for doc in docs]
return self.ADD(*[self.doc(doc) for doc in docs])
def __str__(self):
return lxml.etree.tostring(self.xml, encoding='utf-8')
class SolrDelete(object):
DELETE = E.delete
ID = E.id
QUERY = E.query
def __init__(self, schema, docs=None, queries=None):
self.schema = schema
deletions = []
if docs is not None:
deletions += self.delete_docs(docs)
if queries is not None:
deletions += self.delete_queries(queries)
self.xml = self.DELETE(*deletions)
def delete_docs(self, docs):
if not self.schema.unique_key:
raise SolrError("This schema has no unique key - you can only delete by query")
if hasattr(docs, "items") or not hasattr(docs, "__iter__"):
# docs is a dictionary, or an object which is not a list
docs = [docs]
doc_id_insts = [self.doc_id_from_doc(doc) for doc in docs]
return [self.ID(doc_id_inst.to_solr()) for doc_id_inst in doc_id_insts]
def doc_id_from_doc(self, doc):
# Is this a dictionary, or an document object, or a thing
# that can be cast to a uniqueKey? (which could also be an
# arbitrary object.
if isinstance(doc, (basestring, int, long, float)):
# It's obviously not a document object, just coerce to appropriate type
doc_id = doc
elif hasattr(doc, "items"):
# It's obviously a dictionary
try:
doc_id = doc[self.schema.unique_key]
except KeyError:
raise SolrError("No unique key on this document")
else:
doc_id = get_attribute_or_callable(doc, self.schema.unique_key)
if doc_id is None:
# Well, we couldn't get an ID from it; let's try
# coercing the doc to the type of an ID field.
doc_id = doc
try:
doc_id_inst = self.schema.unique_field.instance_from_user_data(doc_id)
except SolrError:
raise SolrError("Could not parse argument as object or document id")
return doc_id_inst
def delete_queries(self, queries):
if not hasattr(queries, "__iter__"):
queries = [queries]
return [self.QUERY(unicode(query)) for query in queries]
def __str__(self):
return lxml.etree.tostring(self.xml, encoding='utf-8')
class SolrFacetCounts(object):
members= ["facet_dates", "facet_fields", "facet_queries"]
def __init__(self, **kwargs):
for member in self.members:
setattr(self, member, kwargs.get(member, ()))
self.facet_fields = dict(self.facet_fields)
@classmethod
def from_response(cls, response):
facet_counts_dict = dict(response.get("facet_counts", {}))
return SolrFacetCounts(**facet_counts_dict)
class SolrResponse(object):
@classmethod
def from_xml(cls, schema, xmlmsg):
self = cls()
self.schema = schema
self.original_xml = xmlmsg
doc = lxml.etree.fromstring(xmlmsg)
details = dict(value_from_node(n) for n in
doc.xpath("/response/lst[@name!='moreLikeThis']"))
details['responseHeader'] = dict(details['responseHeader'])
for attr in ["QTime", "params", "status"]:
setattr(self, attr, details['responseHeader'].get(attr))
if self.status != 0:
raise ValueError("Response indicates an error")
result_node = doc.xpath("/response/result")[0]
self.result = SolrResult.from_xml(schema, result_node)
self.facet_counts = SolrFacetCounts.from_response(details)
self.highlighting = dict((k, dict(v))
for k, v in details.get("highlighting", ()))
more_like_these_nodes = \
doc.xpath("/response/lst[@name='moreLikeThis']/result")
more_like_these_results = [SolrResult.from_xml(schema, node)
for node in more_like_these_nodes]
self.more_like_these = dict((n.name, n)
for n in more_like_these_results)
if len(self.more_like_these) == 1:
self.more_like_this = self.more_like_these.values()[0]
else:
self.more_like_this = None
# can be computed by MoreLikeThisHandler
termsNodes = doc.xpath("/response/*[@name='interestingTerms']")
if len(termsNodes) == 1:
_, value = value_from_node(termsNodes[0])
else:
value = None
self.interesting_terms = value
return self
def __str__(self):
return str(self.result)
def __len__(self):
return len(self.result.docs)
def __getitem__(self, key):
return self.result.docs[key]
class SolrResult(object):
@classmethod
def from_xml(cls, schema, node):
self = cls()
self.schema = schema
self.name = node.attrib['name']
self.numFound = int(node.attrib['numFound'])
self.start = int(node.attrib['start'])
self.docs = [schema.parse_result_doc(n) for n in node.xpath("doc")]
return self
def __str__(self):
return "%(numFound)s results found, starting at #%(start)s\n\n" % self.__dict__ + str(self.docs)
def object_to_dict(o, names):
return dict((name, getattr(o, name)) for name in names
if (hasattr(o, name) and getattr(o, name) is not None))
# This is over twice the speed of the shorter one immediately above.
# apparently hasattr is really slow; try/except is faster.
# Also, the one above doesn't and can't do callables with exception handling
def object_to_dict(o, schema):
d = {}
for name in schema.fields.keys():
a = get_attribute_or_callable(o, name)
if a is not None:
d[name] = a
# and now try for dynamicFields:
try:
names = o.__dict__.keys()
except AttributeError:
names = []
for name in names:
field = schema.match_dynamic_field(name)
if field:
a = get_attribute_or_callable(o, name)
if a is not None:
d[name] = a
try:
names = o.__class__.__dict__.keys()
except AttributeError:
names = []
for name in names:
field = schema.match_dynamic_field(name)
if field:
a = get_attribute_or_callable(o, name)
if a is not None:
d[name] = a
return d
def get_attribute_or_callable(o, name):
try:
a = getattr(o, name)
# Might be attribute or callable
if callable(a):
try:
a = a()
except TypeError:
a = None
except AttributeError:
a = None
return a
def value_from_node(node):
name = node.attrib.get('name')
if node.tag in ('lst', 'arr'):
value = [value_from_node(n) for n in node.getchildren()]
if node.tag in 'doc':
value = dict(value_from_node(n) for n in node.getchildren())
elif node.tag == 'null':
value = None
elif node.tag in ('str', 'byte'):
value = node.text or ""
elif node.tag in ('short', 'int'):
value = int(node.text)
elif node.tag == 'long':
value = long(node.text)
elif node.tag == 'bool':
value = True if node.text == "true" else False
elif node.tag in ('float', 'double'):
value = float(node.text)
elif node.tag == 'date':
value = solr_date(node.text)
if name is not None:
return name, value
else:
return value