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https://github.com/ceph/s3-tests.git
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184 lines
4.7 KiB
Python
184 lines
4.7 KiB
Python
import nose
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import random
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import string
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import yaml
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from s3tests.fuzz_headers import *
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from nose.tools import eq_ as eq
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from nose.plugins.attrib import attr
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from .utils import assert_raises
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_decision_graph = {}
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def check_access_denied(fn, *args, **kwargs):
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e = assert_raises(boto.exception.S3ResponseError, fn, *args, **kwargs)
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eq(e.status, 403)
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eq(e.reason, 'Forbidden')
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eq(e.error_code, 'AccessDenied')
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def build_graph():
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graph = {}
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graph['start'] = {
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'set': {},
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'choices': ['node2']
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}
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graph['leaf'] = {
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'set': {
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'key1': 'value1',
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'key2': 'value2'
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},
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'choices': []
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}
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graph['node1'] = {
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'set': {
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'key3': 'value3'
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},
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'choices': ['leaf']
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}
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graph['node2'] = {
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'set': {
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'randkey': 'value-{random 10-15 printable}',
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'path': '/{bucket_readable}',
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'indirect_key1': '{key1}'
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},
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'choices': ['leaf']
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}
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graph['bad_node'] = {
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'set': {
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'key1': 'value1'
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},
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'choices': ['leaf']
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}
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graph['weighted_choices'] = {
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'set': {},
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'choices': [
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'foo',
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'2 bar',
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'1 baz'
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]
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}
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return graph
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def test_load_graph():
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graph_file = open('request_decision_graph.yml', 'r')
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graph = yaml.safe_load(graph_file)
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graph['start']
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def test_descend_leaf_node():
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graph = build_graph()
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prng = random.Random(1)
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decision = descend_graph(graph, 'leaf', prng)
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eq(decision['key1'], 'value1')
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eq(decision['key2'], 'value2')
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e = assert_raises(KeyError, lambda x: decision[x], 'key3')
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def test_descend_node():
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graph = build_graph()
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prng = random.Random(1)
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decision = descend_graph(graph, 'node1', prng)
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eq(decision['key1'], 'value1')
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eq(decision['key2'], 'value2')
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eq(decision['key3'], 'value3')
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def test_descend_bad_node():
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graph = build_graph()
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prng = random.Random(1)
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assert_raises(KeyError, descend_graph, graph, 'bad_node', prng)
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def test_SpecialVariables_dict():
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prng = random.Random(1)
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testdict = {'foo': 'bar'}
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tester = SpecialVariables(testdict, prng)
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eq(tester['foo'], 'bar')
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eq(tester['random 10-15 printable'], '[/pNI$;92@')
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def test_SpecialVariables_binary():
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prng = random.Random(1)
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tester = SpecialVariables({}, prng)
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eq(tester['random 10-15 binary'], '\xdfj\xf1\xd80>a\xcd\xc4\xbb')
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def test_assemble_decision():
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graph = build_graph()
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prng = random.Random(1)
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decision = assemble_decision(graph, prng)
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eq(decision['key1'], 'value1')
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eq(decision['key2'], 'value2')
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eq(decision['randkey'], 'value-{random 10-15 printable}')
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eq(decision['indirect_key1'], '{key1}')
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eq(decision['path'], '/{bucket_readable}')
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assert_raises(KeyError, lambda x: decision[x], 'key3')
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def test_expand_key():
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prng = random.Random(1)
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test_decision = {
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'key1': 'value1',
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'randkey': 'value-{random 10-15 printable}',
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'indirect': '{key1}',
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'dbl_indirect': '{indirect}'
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}
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decision = SpecialVariables(test_decision, prng)
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randkey = expand_key(decision, 'randkey')
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indirect = expand_key(decision, 'indirect')
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dbl_indirect = expand_key(decision, 'dbl_indirect')
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eq(indirect, 'value1')
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eq(dbl_indirect, 'value1')
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eq(randkey, 'value-[/pNI$;92@')
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def test_expand_loop():
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prng = random.Random(1)
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test_decision = {
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'key1': '{key2}',
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'key2': '{key1}',
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}
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decision = SpecialVariables(test_decision, prng)
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assert_raises(RuntimeError, expand_key, decision, 'key1')
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def test_expand_decision():
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graph = build_graph()
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prng = random.Random(1)
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decision = assemble_decision(graph, prng)
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decision.update({'bucket_readable': 'my-readable-bucket'})
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request = expand_decision(decision, prng)
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eq(request['key1'], 'value1')
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eq(request['indirect_key1'], 'value1')
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eq(request['path'], '/my-readable-bucket')
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eq(request['randkey'], 'value-NI$;92@H/0I')
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assert_raises(KeyError, lambda x: decision[x], 'key3')
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def test_weighted_choices():
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graph = build_graph()
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prng = random.Random(1)
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choices_made = {}
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for _ in xrange(1000):
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choice = make_choice(graph['weighted_choices']['choices'], prng)
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if choices_made.has_key(choice):
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choices_made[choice] += 1
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else:
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choices_made[choice] = 1
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foo_percentage = choices_made['foo'] / 1000.0
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bar_percentage = choices_made['bar'] / 1000.0
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baz_percentage = choices_made['baz'] / 1000.0
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nose.tools.assert_almost_equal(foo_percentage, 0.25, 1)
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nose.tools.assert_almost_equal(bar_percentage, 0.50, 1)
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nose.tools.assert_almost_equal(baz_percentage, 0.25, 1)
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