s3-tests/s3tests/functional/test_fuzzer.py

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import nose
import random
import string
import yaml
from s3tests.fuzz_headers import *
from nose.tools import eq_ as eq
from nose.plugins.attrib import attr
from .utils import assert_raises
_decision_graph = {}
def check_access_denied(fn, *args, **kwargs):
e = assert_raises(boto.exception.S3ResponseError, fn, *args, **kwargs)
eq(e.status, 403)
eq(e.reason, 'Forbidden')
eq(e.error_code, 'AccessDenied')
def build_graph():
graph = {}
graph['start'] = {
'set': {},
'choices': ['node2']
}
graph['leaf'] = {
'set': {
'key1': 'value1',
'key2': 'value2'
},
'choices': []
}
graph['node1'] = {
'set': {
'key3': 'value3'
},
'choices': ['leaf']
}
graph['node2'] = {
'set': {
'randkey': 'value-{random 10-15 printable}',
'path': '/{bucket_readable}',
'indirect_key1': '{key1}'
},
'choices': ['leaf']
}
graph['bad_node'] = {
'set': {
'key1': 'value1'
},
'choices': ['leaf']
}
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graph['weighted_choices'] = {
'set': {},
'choices': [
'foo',
'2 bar',
'1 baz'
]
}
return graph
def test_load_graph():
graph_file = open('request_decision_graph.yml', 'r')
graph = yaml.safe_load(graph_file)
graph['start']
def test_descend_leaf_node():
graph = build_graph()
prng = random.Random(1)
decision = descend_graph(graph, 'leaf', prng)
eq(decision['key1'], 'value1')
eq(decision['key2'], 'value2')
e = assert_raises(KeyError, lambda x: decision[x], 'key3')
def test_descend_node():
graph = build_graph()
prng = random.Random(1)
decision = descend_graph(graph, 'node1', prng)
eq(decision['key1'], 'value1')
eq(decision['key2'], 'value2')
eq(decision['key3'], 'value3')
def test_descend_bad_node():
graph = build_graph()
prng = random.Random(1)
assert_raises(KeyError, descend_graph, graph, 'bad_node', prng)
def test_SpecialVariables_dict():
prng = random.Random(1)
testdict = {'foo': 'bar'}
tester = SpecialVariables(testdict, prng)
eq(tester['foo'], 'bar')
eq(tester['random 10-15 printable'], '[/pNI$;92@')
def test_SpecialVariables_binary():
prng = random.Random(1)
tester = SpecialVariables({}, prng)
eq(tester['random 10-15 binary'], '\xdfj\xf1\xd80>a\xcd\xc4\xbb')
def test_assemble_decision():
graph = build_graph()
prng = random.Random(1)
decision = assemble_decision(graph, prng)
eq(decision['key1'], 'value1')
eq(decision['key2'], 'value2')
eq(decision['randkey'], 'value-{random 10-15 printable}')
eq(decision['indirect_key1'], '{key1}')
eq(decision['path'], '/{bucket_readable}')
assert_raises(KeyError, lambda x: decision[x], 'key3')
def test_expand_key():
prng = random.Random(1)
test_decision = {
'key1': 'value1',
'randkey': 'value-{random 10-15 printable}',
'indirect': '{key1}',
'dbl_indirect': '{indirect}'
}
decision = SpecialVariables(test_decision, prng)
randkey = expand_key(decision, 'randkey')
indirect = expand_key(decision, 'indirect')
dbl_indirect = expand_key(decision, 'dbl_indirect')
eq(indirect, 'value1')
eq(dbl_indirect, 'value1')
eq(randkey, 'value-[/pNI$;92@')
def test_expand_loop():
prng = random.Random(1)
test_decision = {
'key1': '{key2}',
'key2': '{key1}',
}
decision = SpecialVariables(test_decision, prng)
assert_raises(RuntimeError, expand_key, decision, 'key1')
def test_expand_decision():
graph = build_graph()
prng = random.Random(1)
decision = assemble_decision(graph, prng)
decision.update({'bucket_readable': 'my-readable-bucket'})
request = expand_decision(decision, prng)
eq(request['key1'], 'value1')
eq(request['indirect_key1'], 'value1')
eq(request['path'], '/my-readable-bucket')
eq(request['randkey'], 'value-NI$;92@H/0I')
assert_raises(KeyError, lambda x: decision[x], 'key3')
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def test_weighted_choices():
graph = build_graph()
prng = random.Random(1)
choices_made = {}
for _ in xrange(1000):
choice = make_choice(graph['weighted_choices']['choices'], prng)
if choices_made.has_key(choice):
choices_made[choice] += 1
else:
choices_made[choice] = 1
foo_percentage = choices_made['foo'] / 1000.0
bar_percentage = choices_made['bar'] / 1000.0
baz_percentage = choices_made['baz'] / 1000.0
nose.tools.assert_almost_equal(foo_percentage, 0.25, 1)
nose.tools.assert_almost_equal(bar_percentage, 0.50, 1)
nose.tools.assert_almost_equal(baz_percentage, 0.25, 1)