~bac/+junk/thuvien

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
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