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# Copyright (C) 2015 Nippon Telegraph and Telephone Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from functools import reduce
import unittest
import testscenarios
from os_ken.ofproto import ofproto_v1_5
from os_ken.ofproto import ofproto_v1_5_parser
def _list_test_cases():
import functools
import itertools
class Field(object):
pass
class Int1(Field):
@staticmethod
def generate():
yield 0
yield 0xff
class Int2(Field):
@staticmethod
def generate():
yield 0
yield 0x1234
yield 0xffff
class Int3(Field):
@staticmethod
def generate():
yield 0
yield 0x123456
yield 0xffffff
class Int4(Field):
@staticmethod
def generate():
yield 0
yield 0x12345678
yield 0xffffffff
class Int4double(Field):
@staticmethod
def generate():
# Note: If yield value as a tuple, flatten_one() will reduce it
# into a single value. So the followings avoid this problem by
# using a list value.
yield [0, 1]
yield [0x12345678, 0x23456789]
yield [0xffffffff, 0xfffffffe]
class Int8(Field):
@staticmethod
def generate():
yield 0
yield 0x123456789abcdef0
yield 0xffffffffffffffff
class Mac(Field):
@staticmethod
def generate():
yield '00:00:00:00:00:00'
yield 'f2:0b:a4:7d:f8:ea'
yield 'ff:ff:ff:ff:ff:ff'
class IPv4(Field):
@staticmethod
def generate():
yield '0.0.0.0'
yield '192.0.2.1'
yield '255.255.255.255'
class IPv6(Field):
@staticmethod
def generate():
yield '::'
yield 'fe80::f00b:a4ff:fed0:3f70'
yield 'ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff'
class B64(Field):
@staticmethod
def generate():
yield 'aG9nZWhvZ2U='
yield 'ZnVnYWZ1Z2E='
ofpps = [ofproto_v1_5_parser]
common = [
('duration', Int4double),
('idle_time', Int4double),
('flow_count', Int4),
('packet_count', Int8),
('byte_count', Int8),
('field_100', B64),
]
L = {}
L[ofproto_v1_5_parser] = common
def flatten_one(l, i):
if isinstance(i, tuple):
return l + flatten(i)
else:
return l + [i]
flatten = lambda l: reduce(flatten_one, l, [])
cases = []
for ofpp in ofpps:
for n in range(1, 3):
for C in itertools.combinations(L[ofpp], n):
l = [1]
keys = []
clss = []
for (k, cls) in C:
l = itertools.product(l, cls.generate())
keys.append(k)
clss.append(cls)
l = [flatten(x)[1:] for x in l]
for values in l:
d = dict(zip(keys, values))
for n, uv in d.items():
if isinstance(uv, list):
# XXX
# OFPStats returns value as tuple when field is
# 'duration' or 'idle_time'. Then convert list
# value into tuple here.
d[n] = tuple(uv)
mod = ofpp.__name__.split('.')[-1]
method_name = 'test_' + mod
for k in sorted(dict(d).keys()):
method_name += '_' + str(k)
method_name += '_' + str(d[k])
method_name = method_name.replace(':', '_')
method_name = method_name.replace('.', '_')
method_name = method_name.replace('(', '_')
method_name = method_name.replace(')', '_')
method_name = method_name.replace(',', '_')
method_name = method_name.replace("'", '_')
method_name = method_name.replace(' ', '_')
cases.append({'name': method_name, 'ofpp': ofpp, 'd': d})
return cases
class Test_Parser_OFPStats(testscenarios.WithScenarios, unittest.TestCase):
scenarios = [(case['name'], case) for case in _list_test_cases()]
_ofp = {ofproto_v1_5_parser: ofproto_v1_5}
def setUp(self):
pass
def tearDown(self):
pass
def test_parser(self):
self._test(name=self.name, ofpp=self.ofpp, d=self.d)
def _test(self, name, ofpp, d):
stats = ofpp.OFPStats(**d)
b = bytearray()
stats.serialize(b, 0)
stats2 = stats.parser(bytes(b), 0)
for k, v in d.items():
self.assertIn(k, stats)
self.assertIn(k, stats2)
self.assertEqual(stats[k], v)
self.assertEqual(stats2[k], v)
for k, v in stats.iteritems():
self.assertIn(k, d)
self.assertEqual(d[k], v)
for k, v in stats2.iteritems():
self.assertIn(k, d)
self.assertEqual(d[k], v)
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