s3-tests/s3tests/functional/test_fuzzer.py

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import sys
import itertools
import nose
import random
import string
import yaml
from s3tests.fuzz_headers import *
from nose.tools import eq_ as eq
from nose.tools import assert_true
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'
},
'headers': [
['1-2', 'random-header-{random 5-10 printable}', '{random 20-30 punctuation}']
],
'choices': []
}
graph['node1'] = {
'set': {
'key3': 'value3',
'header_val': [
'3 h1',
'2 h2',
'h3'
]
},
'headers': [
['1-1', 'my-header', '{header_val}'],
],
'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']
}
graph['nonexistant_child_node'] = {
'set': {},
'choices': ['leafy_greens']
}
graph['weighted_node'] = {
'set': {
'k1': [
'foo',
'2 bar',
'1 baz'
]
},
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'choices': [
'foo',
'2 bar',
'1 baz'
]
}
graph['null_choice_node'] = {
'set': {},
'choices': [None]
}
graph['repeated_headers_node'] = {
'set': {},
'headers': [
['1-2', 'random-header-{random 5-10 printable}', '{random 20-30 punctuation}']
],
'choices': ['leaf']
}
graph['weighted_null_choice_node'] = {
'set': {},
'choices': ['3 null']
}
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(DecisionGraphError, descend_graph, graph, 'bad_node', prng)
def test_descend_nonexistant_child():
graph = build_graph()
prng = random.Random(1)
assert_raises(KeyError, descend_graph, graph, 'nonexistant_child_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_SpeicalVariables_random_no_args():
prng = random.Random(1)
tester = SpecialVariables({}, prng)
for _ in xrange(1000):
val = tester['random']
val = val.replace('{{', '{').replace('}}','}')
assert_true(0 <= len(val) <= 1000)
assert_true(reduce(lambda x, y: x and y, [x in string.printable for x in val]))
def test_SpeicalVariables_random_no_charset():
prng = random.Random(1)
tester = SpecialVariables({}, prng)
for _ in xrange(1000):
val = tester['random 10-30']
val = val.replace('{{', '{').replace('}}','}')
assert_true(10 <= len(val) <= 30)
assert_true(reduce(lambda x, y: x and y, [x in string.printable for x in val]))
def test_SpeicalVariables_random_exact_length():
prng = random.Random(1)
tester = SpecialVariables({}, prng)
for _ in xrange(1000):
val = tester['random 10 digits']
assert_true(len(val) == 10)
assert_true(reduce(lambda x, y: x and y, [x in string.digits for x in val]))
def test_SpecialVariables_random_errors():
prng = random.Random(1)
tester = SpecialVariables({}, prng)
assert_raises(KeyError, lambda x: tester[x], 'random 10-30 foo')
assert_raises(ValueError, lambda x: tester[x], 'random printable')
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_escape():
decision = dict(
foo='{{bar}}',
)
got = expand(decision, '{foo}')
eq(got, '{bar}')
def test_expand_indirect():
decision = dict(
foo='{bar}',
bar='quux',
)
got = expand(decision, '{foo}')
eq(got, 'quux')
def test_expand_indirect_double():
decision = dict(
foo='{bar}',
bar='{quux}',
quux='thud',
)
got = expand(decision, '{foo}')
eq(got, 'thud')
def test_expand_recursive():
decision = dict(
foo='{foo}',
)
e = assert_raises(RecursionError, expand, decision, '{foo}')
eq(str(e), "Runaway recursion in string formatting: 'foo'")
def test_expand_recursive_mutual():
decision = dict(
foo='{bar}',
bar='{foo}',
)
e = assert_raises(RecursionError, expand, decision, '{foo}')
eq(str(e), "Runaway recursion in string formatting: 'foo'")
def test_expand_recursive_not_too_eager():
decision = dict(
foo='bar',
)
got = expand(decision, 100*'{foo}')
eq(got, 100*'bar')
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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_node']['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)
def test_null_choices():
graph = build_graph()
prng = random.Random(1)
choice = make_choice(graph['null_choice_node']['choices'], prng)
eq(choice, '')
def test_weighted_null_choices():
graph = build_graph()
prng = random.Random(1)
choice = make_choice(graph['weighted_null_choice_node']['choices'], prng)
eq(choice, '')
def test_null_child():
graph = build_graph()
prng = random.Random(1)
decision = descend_graph(graph, 'null_choice_node', prng)
eq(decision, {})
def test_weighted_set():
graph = build_graph()
prng = random.Random(1)
choices_made = {}
for _ in xrange(1000):
choice = make_choice(graph['weighted_node']['set']['k1'], prng)
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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)
def test_header_presence():
graph = build_graph()
prng = random.Random(1)
decision = descend_graph(graph, 'node1', prng)
c1 = itertools.count()
c2 = itertools.count()
for header, value in decision['headers']:
if header == 'my-header':
eq(value, '{header_val}')
assert_true(next(c1) < 1)
elif header == 'random-header-{random 5-10 printable}':
eq(value, '{random 20-30 punctuation}')
assert_true(next(c2) < 2)
else:
raise KeyError('unexpected header found: %s' % header)
assert_true(next(c1))
assert_true(next(c2))
def test_duplicate_header():
graph = build_graph()
prng = random.Random(1)
assert_raises(DecisionGraphError, descend_graph, graph, 'repeated_headers_node', prng)
def test_expand_headers():
graph = build_graph()
prng = random.Random(1)
decision = descend_graph(graph, 'node1', prng)
special_decision = SpecialVariables(decision, prng)
expanded_headers = expand_headers(special_decision)
for header, value in expanded_headers:
if header == 'my-header':
assert_true(value in ['h1', 'h2', 'h3'])
elif header.startswith('random-header-'):
assert_true(20 <= len(value) <= 30)
assert_true(string.strip(value, SpecialVariables.charsets['punctuation']) is '')
else:
raise DecisionGraphError('unexpected header found: "%s"' % header)