kopia lustrzana https://dev.funkwhale.audio/funkwhale/funkwhale
38 wiersze
1.3 KiB
Python
38 wiersze
1.3 KiB
Python
import re
|
|
|
|
from django.db.models import Q
|
|
|
|
def normalize_query(query_string,
|
|
findterms=re.compile(r'"([^"]+)"|(\S+)').findall,
|
|
normspace=re.compile(r'\s{2,}').sub):
|
|
''' Splits the query string in invidual keywords, getting rid of unecessary spaces
|
|
and grouping quoted words together.
|
|
Example:
|
|
|
|
>>> normalize_query(' some random words "with quotes " and spaces')
|
|
['some', 'random', 'words', 'with quotes', 'and', 'spaces']
|
|
|
|
'''
|
|
return [normspace(' ', (t[0] or t[1]).strip()) for t in findterms(query_string)]
|
|
|
|
def get_query(query_string, search_fields):
|
|
''' Returns a query, that is a combination of Q objects. That combination
|
|
aims to search keywords within a model by testing the given search fields.
|
|
|
|
'''
|
|
query = None # Query to search for every search term
|
|
terms = normalize_query(query_string)
|
|
for term in terms:
|
|
or_query = None # Query to search for a given term in each field
|
|
for field_name in search_fields:
|
|
q = Q(**{"%s__icontains" % field_name: term})
|
|
if or_query is None:
|
|
or_query = q
|
|
else:
|
|
or_query = or_query | q
|
|
if query is None:
|
|
query = or_query
|
|
else:
|
|
query = query & or_query
|
|
return query
|