s3-tests/s3tests/fuzz_headers.py

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from boto.s3.connection import S3Connection
from optparse import OptionParser
from boto import UserAgent
from . import common
import traceback
import itertools
import random
import string
import struct
import yaml
import sys
import re
def assemble_decision(decision_graph, prng):
""" Take in a graph describing the possible decision space and a random
number generator and traverse the graph to build a decision
"""
return descend_graph(decision_graph, 'start', prng)
def descend_graph(decision_graph, node_name, prng):
""" Given a graph and a particular node in that graph, set the values in
the node's "set" list, pick a choice from the "choice" list, and
recurse. Finally, return dictionary of values
"""
node = decision_graph[node_name]
try:
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choice = make_choice(node['choices'], prng)
if choice == '':
decision = {}
else:
decision = descend_graph(decision_graph, choice, prng)
except IndexError:
decision = {}
for key in node['set']:
if decision.has_key(key):
raise KeyError("Node %s tried to set '%s', but that key was already set by a lower node!" %(node_name, key))
decision[key] = make_choice(node['set'][key], prng)
if node.has_key('headers'):
if not decision.has_key('headers'):
decision['headers'] = []
for desc in node['headers']:
if len(desc) == 3:
repetition_range = desc.pop(0)
try:
size_min, size_max = [int(x) for x in repetition_range.split('-')]
except IndexError:
size_min = size_max = int(repetition_range)
else:
size_min = size_max = 1
num_reps = prng.randint(size_min, size_max)
for _ in xrange(num_reps):
header = desc[0]
value = desc[1]
if header in [h for h, v in decision['headers']]:
if not re.search('{[a-zA-Z_0-9 -]+}', header):
raise KeyError("Node %s tried to add header '%s', but that header already exists!" %(node_name, header))
decision['headers'].append([header, value])
return decision
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def make_choice(choices, prng):
""" Given a list of (possibly weighted) options or just a single option!,
choose one of the options taking weights into account and return the
choice
"""
if isinstance(choices, str):
return choices
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weighted_choices = []
for option in choices:
if option is None:
weighted_choices.append('')
continue
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fields = option.split(None, 1)
if len(fields) == 1:
weight = 1
value = fields[0]
else:
weight = int(fields[0])
value = fields[1]
if value == 'null' or value == 'None':
value = ''
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for _ in xrange(weight):
weighted_choices.append(value)
return prng.choice(weighted_choices)
def expand_decision(decision, prng):
""" Take in a decision and a random number generator. Expand variables in
decision's values and headers until all values are fully expanded and
build a request out of the information
"""
special_decision = SpecialVariables(decision, prng)
for key in special_decision:
if not key == 'headers':
decision[key] = expand_key(special_decision, decision[key])
else:
for header in special_decision[key]:
header[0] = expand_key(special_decision, header[0])
header[1] = expand_key(special_decision, header[1])
return decision
def expand_key(decision, value):
c = itertools.count()
fmt = string.Formatter()
old = value
while True:
new = fmt.vformat(old, [], decision)
if new == old.replace('{{', '{').replace('}}', '}'):
return old
if next(c) > 5:
raise RuntimeError
old = new
class SpecialVariables(dict):
charsets = {
'binary': 'binary',
'printable': string.printable,
'punctuation': string.punctuation,
'whitespace': string.whitespace,
'digits': string.digits
}
def __init__(self, orig_dict, prng):
self.update(orig_dict)
self.prng = prng
def __getitem__(self, key):
fields = key.split(None, 1)
fn = getattr(self, 'special_{name}'.format(name=fields[0]), None)
if fn is None:
return super(SpecialVariables, self).__getitem__(key)
if len(fields) == 1:
fields.apppend('')
return fn(fields[1])
def special_random(self, args):
arg_list = args.split()
try:
size_min, size_max = [int(x) for x in arg_list[0].split('-')]
except IndexError:
size_min = 0
size_max = 1000
try:
charset = self.charsets[arg_list[1]]
except IndexError:
charset = self.charsets['printable']
length = self.prng.randint(size_min, size_max)
if charset is 'binary':
num_bytes = length + 8
tmplist = [self.prng.getrandbits(64) for _ in xrange(num_bytes / 8)]
tmpstring = struct.pack((num_bytes / 8) * 'Q', *tmplist)
return tmpstring[0:length]
else:
tmpstring = ''.join([self.prng.choice(charset) for _ in xrange(length)]) # Won't scale nicely; won't do binary
return tmpstring.replace('{', '{{').replace('}', '}}')
def parse_options():
parser = OptionParser()
parser.add_option('-O', '--outfile', help='write output to FILE. Defaults to STDOUT', metavar='FILE')
parser.add_option('--seed', dest='seed', type='int', help='initial seed for the random number generator', metavar='SEED')
parser.add_option('--seed-file', dest='seedfile', help='read seeds for specific requests from FILE', metavar='FILE')
parser.add_option('-n', dest='num_requests', type='int', help='issue NUM requests before stopping', metavar='NUM')
parser.add_option('--decision-graph', dest='graph_filename', help='file in which to find the request decision graph', metavar='NUM')
parser.set_defaults(num_requests=5)
parser.set_defaults(graph_filename='request_decision_graph.yml')
return parser.parse_args()
def randomlist(n, seed=None):
""" Returns a generator function that spits out a list of random numbers n elements long.
"""
rng = random.Random()
rng.seed(seed if seed else None)
for _ in xrange(n):
yield rng.random()
def _main():
""" The main script
"""
(options, args) = parse_options()
random.seed(options.seed if options.seed else None)
s3_connection = common.s3.main
request_seeds = None
if options.seedfile:
FH = open(options.seedfile, 'r')
request_seeds = FH.readlines()
else:
request_seeds = randomlist(options.num_requests, options.seed)
graph_file = open(options.graph_filename, 'r')
decision_graph = yaml.safe_load(graph_file)
constants = {
'bucket_readable': 'TODO',
'bucket_not_readable': 'TODO',
'bucket_writable' : 'TODO',
'bucket_not_writable' : 'TODO',
'object_readable' : 'TODO',
'object_not_readable' : 'TODO',
'object_writable' : 'TODO',
'object_not_writable' : 'TODO',
}
for request_seed in request_seeds:
prng = random.Random(request_seed)
decision = assemble_decision(decision_graph, prng)
decision.update(constants)
request = expand_decision(decision, prng)
response = s3_connection.make_request(request['method'], request['path'], data=request['body'], headers=request['headers'], override_num_retries=0)
if response.status == 500 or response.status == 503:
print 'Request generated with seed %d failed:\n%s' % (request_seed, request)
pass
def main():
common.setup()
try:
_main()
except Exception as e:
traceback.print_exc()
common.teardown()