Statistics
| Branch: | Tag: | Revision:

root / snf-pithos-lib / pithos / lib / filter.py @ 8c306eab

History | View | Annotate | Download (2 kB)

1
# Copyright 2011 GRNET S.A. All rights reserved.
2
# 
3
# Redistribution and use in source and binary forms, with or
4
# without modification, are permitted provided that the following
5
# conditions are met:
6
# 
7
#   1. Redistributions of source code must retain the above
8
#      copyright notice, this list of conditions and the following
9
#      disclaimer.
10
# 
11
#   2. Redistributions in binary form must reproduce the above
12
#      copyright notice, this list of conditions and the following
13
#      disclaimer in the documentation and/or other materials
14
#      provided with the distribution.
15
# 
16
# THIS SOFTWARE IS PROVIDED BY GRNET S.A. ``AS IS'' AND ANY EXPRESS
17
# OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
18
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
19
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL GRNET S.A OR
20
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
21
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
22
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
23
# USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
24
# AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
25
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
26
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
27
# POSSIBILITY OF SUCH DAMAGE.
28
# 
29
# The views and conclusions contained in the software and
30
# documentation are those of the authors and should not be
31
# interpreted as representing official policies, either expressed
32
# or implied, of GRNET S.A.
33

    
34
import re
35

    
36

    
37
_regexfilter = re.compile('(!?)\s*(\S+?)\s*(?:(=|!=|<=|>=|<|>)\s*(\S*?)\s*)?$', re.UNICODE)
38

    
39

    
40
def parse_filters(terms):
41
    included = []
42
    excluded = []
43
    opers = []
44
    match = _regexfilter.match
45
    for term in terms:
46
        m = match(term)
47
        if m is None:
48
            continue
49
        neg, key, op, value = m.groups()
50
        if neg:
51
            excluded.append(key)
52
        elif op:
53
            opers.append((key, op, value))
54
        elif not value:
55
            included.append(key)
56
    
57
    return included, excluded, opers