1 files changed, 39 insertions, 0 deletions
diff --git a/piccast/feeds/models.py b/piccast/feeds/models.py
index cbc12e4..0ec24f1 100644
--- a/piccast/feeds/models.py
+++ b/piccast/feeds/models.py
@@ -126,3 +126,42 @@ class PicSet(models.Model):
                 }
 
 
+# The below search code comes from Julien Phalip
+
+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
+