forked from TrueCloudLab/s3-tests
277 lines
8.7 KiB
Python
277 lines
8.7 KiB
Python
from boto.s3.connection import S3Connection
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from optparse import OptionParser
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from boto import UserAgent
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from . import common
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import traceback
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import itertools
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import random
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import string
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import struct
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import yaml
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import sys
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import re
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class DecisionGraphError(Exception):
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""" Raised when a node in a graph tries to set a header or
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key that was previously set by another node
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"""
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def __init__(self, value):
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self.value = value
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def __str__(self):
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return repr(self.value)
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class RecursionError(Exception):
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"""Runaway recursion in string formatting"""
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def __init__(self, msg):
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self.msg = msg
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def __str__(self):
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return '{0.__doc__}: {0.msg!r}'.format(self)
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def assemble_decision(decision_graph, prng):
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""" Take in a graph describing the possible decision space and a random
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number generator and traverse the graph to build a decision
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"""
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return descend_graph(decision_graph, 'start', prng)
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def descend_graph(decision_graph, node_name, prng):
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""" Given a graph and a particular node in that graph, set the values in
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the node's "set" list, pick a choice from the "choice" list, and
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recurse. Finally, return dictionary of values
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"""
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node = decision_graph[node_name]
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try:
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choice = make_choice(node['choices'], prng)
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if choice == '':
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decision = {}
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else:
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decision = descend_graph(decision_graph, choice, prng)
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except IndexError:
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decision = {}
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for key, choices in node['set'].iteritems():
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if key in decision:
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raise DecisionGraphError("Node %s tried to set '%s', but that key was already set by a lower node!" %(node_name, key))
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decision[key] = make_choice(choices, prng)
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if 'headers' in node:
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decision.setdefault('headers', [])
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for desc in node['headers']:
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try:
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(repetition_range, header, value) = desc
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except ValueError:
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(header, value) = desc
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repetition_range = '1'
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try:
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size_min, size_max = repetition_range.split('-', 1)
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except ValueError:
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size_min = size_max = repetition_range
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size_min = int(size_min)
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size_max = int(size_max)
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num_reps = prng.randint(size_min, size_max)
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if header in [h for h, v in decision['headers']]:
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raise DecisionGraphError("Node %s tried to add header '%s', but that header already exists!" %(node_name, header))
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for _ in xrange(num_reps):
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decision['headers'].append([header, value])
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return decision
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def make_choice(choices, prng):
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""" Given a list of (possibly weighted) options or just a single option!,
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choose one of the options taking weights into account and return the
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choice
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"""
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if isinstance(choices, str):
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return choices
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weighted_choices = []
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for option in choices:
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if option is None:
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weighted_choices.append('')
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continue
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try:
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(weight, value) = option.split(None, 1)
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except ValueError:
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weight = '1'
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value = option
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weight = int(weight)
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if value == 'null' or value == 'None':
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value = ''
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for _ in xrange(weight):
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weighted_choices.append(value)
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return prng.choice(weighted_choices)
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def expand_headers(decision, prng):
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expanded_headers = []
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for header in decision['headers']:
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h = expand(decision, header[0], prng)
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v = expand(decision, header[1], prng)
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expanded_headers.append([h, v])
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return expanded_headers
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def expand(decision, value, prng):
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c = itertools.count()
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fmt = RepeatExpandingFormatter(prng)
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new = fmt.vformat(value, [], decision)
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return new
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class RepeatExpandingFormatter(string.Formatter):
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charsets = {
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'printable': string.printable,
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'punctuation': string.punctuation,
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'whitespace': string.whitespace,
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'digits': string.digits
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}
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def __init__(self, prng, _recursion=0):
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super(RepeatExpandingFormatter, self).__init__()
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# this class assumes it is always instantiated once per
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# formatting; use that to detect runaway recursion
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self.prng = prng
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self._recursion = _recursion
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def get_value(self, key, args, kwargs):
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fields = key.split(None, 1)
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fn = getattr(self, 'special_{name}'.format(name=fields[0]), None)
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if fn is not None:
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if len(fields) == 1:
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fields.append('')
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return fn(fields[1])
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val = super(RepeatExpandingFormatter, self).get_value(key, args, kwargs)
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if self._recursion > 5:
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raise RecursionError(key)
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fmt = self.__class__(self.prng, _recursion=self._recursion+1)
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# must use vformat not **kwargs so our SpecialVariables is not
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# downgraded to just a dict
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n = fmt.vformat(val, args, kwargs)
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return n
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def special_random(self, args):
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arg_list = args.split()
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try:
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size_min, size_max = arg_list[0].split('-', 1)
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except ValueError:
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size_min = size_max = arg_list[0]
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except IndexError:
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size_min = '0'
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size_max = '1000'
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size_min = int(size_min)
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size_max = int(size_max)
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length = self.prng.randint(size_min, size_max)
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try:
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charset_arg = arg_list[1]
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except IndexError:
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charset_arg = 'printable'
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if charset_arg == 'binary':
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num_bytes = length + 8
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tmplist = [self.prng.getrandbits(64) for _ in xrange(num_bytes / 8)]
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tmpstring = struct.pack((num_bytes / 8) * 'Q', *tmplist)
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return tmpstring[0:length]
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else:
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charset = self.charsets[charset_arg]
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return ''.join([self.prng.choice(charset) for _ in xrange(length)]) # Won't scale nicely
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def parse_options():
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parser = OptionParser()
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parser.add_option('-O', '--outfile', help='write output to FILE. Defaults to STDOUT', metavar='FILE')
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parser.add_option('--seed', dest='seed', type='int', help='initial seed for the random number generator', metavar='SEED')
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parser.add_option('--seed-file', dest='seedfile', help='read seeds for specific requests from FILE', metavar='FILE')
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parser.add_option('-n', dest='num_requests', type='int', help='issue NUM requests before stopping', metavar='NUM')
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parser.add_option('--decision-graph', dest='graph_filename', help='file in which to find the request decision graph', metavar='NUM')
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parser.set_defaults(num_requests=5)
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parser.set_defaults(graph_filename='request_decision_graph.yml')
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return parser.parse_args()
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def randomlist(seed=None):
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""" Returns an infinite generator of random numbers
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"""
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rng = random.Random(seed)
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while True:
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yield rng.random()
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def _main():
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""" The main script
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"""
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(options, args) = parse_options()
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random.seed(options.seed if options.seed else None)
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s3_connection = common.s3.main
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request_seeds = None
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if options.seedfile:
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FH = open(options.seedfile, 'r')
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request_seeds = FH.readlines()
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else:
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random_list = randomlist(options.seed)
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request_seeds = itertools.islice(random_list, options.num_requests)
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graph_file = open(options.graph_filename, 'r')
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decision_graph = yaml.safe_load(graph_file)
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constants = dict(
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bucket_readable='TODO-breadable',
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bucket_not_readable='TODO-bnonreadable',
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bucket_writable='TODO-bwritable',
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bucket_not_writable='TODO-bnonwritable',
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object_readable='TODO-oreadable',
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object_not_readable='TODO-ononreadable',
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object_writable='TODO-owritable',
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object_not_writable='TODO-ononwritable',
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)
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for request_seed in request_seeds:
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prng = random.Random(request_seed)
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decision = assemble_decision(decision_graph, prng)
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decision.update(constants)
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method = expand(decision, decision['method'], prng)
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path = expand(decision, decision['path'], prng)
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body = expand(decision, decision['body'], prng)
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headers = expand_headers(decision, prng)
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print "Method: %s" % method
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print "Path: %s" % path
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print "Headers: %s" % headers
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print ""
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print "Body: %s" % body
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#response = s3_connection.make_request(method, path, data=body, headers=headers, override_num_retries=0)
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if response.status == 500 or response.status == 503:
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print 'Request generated with seed %d failed:\n%s' % (request_seed, request)
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pass
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def main():
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common.setup()
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try:
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_main()
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except Exception as e:
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traceback.print_exc()
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common.teardown()
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