def test_words(self):
# search strings with single words
self.assertEqual([(None, 'word')], parse_search_terms('word'))
self.assertEqual([(None, 'multiple'), (None, 'words')],
parse_search_terms('multiple words'))
self.assertEqual([(None, 'extraneous'), (None, 'whitespace')],
parse_search_terms(' extraneous whitespace '))
def test_words(self):
# search strings with single words
self.assertEqual([(None, 'word')], parse_search_terms('word'))
self.assertEqual([(None, 'multiple'), (None, 'words')],
parse_search_terms('multiple words'))
self.assertEqual([(None, 'extraneous'), (None, 'whitespace')],
parse_search_terms(' extraneous whitespace '))
def test_fields(self):
self.assertEqual([('title', 'willows')],
parse_search_terms('title:willows'))
self.assertEqual([('title', 'willows'), ('title', 'wind')],
parse_search_terms('title:willows title:wind'))
self.assertEqual([(None, 'frog'), (None, 'toad'), ('title', 'willows'),
('title', 'wind')],
parse_search_terms('frog toad title:willows title:wind'))
def test_fields(self):
self.assertEqual([('title', 'willows')],
parse_search_terms('title:willows'))
self.assertEqual([('title', 'willows'), ('title', 'wind')],
parse_search_terms('title:willows title:wind'))
self.assertEqual(
[(None, 'frog'), (None, 'toad'), ('title', 'willows'),
('title', 'wind')],
parse_search_terms('frog toad title:willows title:wind'))
def to_python(self, value):
if not value:
return []
else:
try:
return parse_search_terms(value)
except Exception:
raise forms.ValidationError('There was an error parsing your search: %s' \
% value)
def to_python(self, value):
if not value:
return []
else:
try:
return parse_search_terms(value)
except Exception:
raise forms.ValidationError('There was an error parsing your search: %s' \
% value)
def test_phrases(self):
# quoted phrases
self.assertEqual([(None, 'exact phrase')],
parse_search_terms('"exact phrase"'))
def keyword_search_suggest(request):
'''Suggest helper for keyword search. If the search string ends
with a recognized field name with an optional value,
e.g. ``user:`` or ``user:A``, looks up existing values using Solr
facets. Returns a JSON response with the 15 most common matching
terms in the requested field with the search term prefix, if any.
If the search string is empty or ends with a space, suggests
available search fields with an explanation.
.. Note::
Due to the current implementation and the limitations of facet
querying in Solr, the search term is case-sensitive and only
matches at the beginning of the string.
Return format is suitable for use with `JQuery UI Autocomplete`_
widget.
.. _JQuery UI Autocomplete: http://jqueryui.com/demos/autocomplete/
:param request: the http request passed to the original view
method (used to retrieve the search term)
'''
term = request.GET.get('term', '')
suggestions = []
# if term is empty or ends in a space, suggest available search fields
if term == '' or term[-1] == ' ':
suggestions = [
{'label': field,
'value': '%s%s' % (term, field),
'category': 'Search Fields',
'desc': desc}
for field, desc in KeywordSearch.field_descriptions.iteritems()
]
# otherwise, check if there is a field to look up values for
else:
term_prefix, sep, term_suffix = term.rpartition(' ')
value_prefix = term_prefix + sep
# parse the last search term
try:
# parse could error in some cases
parsed_terms = parse_search_terms(term_suffix)
field, prefix = parsed_terms[-1]
except Exception:
field, prefix = None, ''
if prefix is None:
prefix = ''
# if field can be faceted, suggest terms
if field in KeywordSearch.facet_fields.keys():
facet_field = KeywordSearch.facet_fields[field]
# date created is a special case
if field == 'created':
sort = 'index'
category = 'Date Added'
# if less than 4 characters, suggest year
if len(prefix) < 4:
facet_field = 'created_year'
result_fmt = '%s'
# between 4 and 7, suggest year-month
elif len(prefix) < 7:
facet_field = 'created_month'
result_fmt = '%s'
# suggest full dates
else:
result_fmt = '%s '
elif field in ['added_by', 'user']: # added_by or user
sort = 'count'
category = 'Users'
result_fmt = '"%s" '
# collection label
if field == 'coll':
sort = 'count'
category = 'Collection'
result_fmt = '%s '
# if the term is numeric facet by source_id
if prefix and prefix.isdigit():
facet_field = 'collection_source_id'
solr = solr_interface()
facetq = solr.query().paginate(rows=0)
# filter by current user permssions
# facetq = filter_by_perms(facetq, request.user)
# return the 15 most common terms in the requested facet field
# with a specified prefix
facetq = facetq.facet_by(facet_field, prefix=prefix,
sort=sort, limit=15)
facets = facetq.execute().facet_counts.facet_fields
# generate a dictionary to return via json with label (facet value
# + count), and actual value to use
suggestions = [{'label': '%s (%d)' % (facet, count),
'value': '%s%s:' % (value_prefix, field) + \
result_fmt % facet,
'category': category}
for facet, count in facets[facet_field]
]
return HttpResponse(json_serializer.encode(suggestions),
content_type='application/json')
def test_phrases(self):
# quoted phrases
self.assertEqual([(None, 'exact phrase')],
parse_search_terms('"exact phrase"'))
