s3-tests/s3tests/functional/__init__.py

173 lines
5 KiB
Python

import ConfigParser
import boto.exception
import boto.s3.connection
import bunch
import itertools
import os
import random
import string
s3 = bunch.Bunch()
config = bunch.Bunch()
# this will be assigned by setup()
prefix = None
def choose_bucket_prefix(template, max_len=30):
"""
Choose a prefix for our test buckets, so they're easy to identify.
Use template and feed it more and more random filler, until it's
as long as possible but still below max_len.
"""
rand = ''.join(
random.choice(string.ascii_lowercase + string.digits)
for c in range(255)
)
while rand:
s = template.format(random=rand)
if len(s) <= max_len:
return s
rand = rand[:-1]
raise RuntimeError(
'Bucket prefix template is impossible to fulfill: {template!r}'.format(
template=template,
),
)
def nuke_prefixed_buckets(prefix):
for name, conn in s3.items():
print 'Cleaning buckets from connection {name} prefix {prefix!r}.'.format(
name=name,
prefix=prefix,
)
for bucket in conn.get_all_buckets():
if bucket.name.startswith(prefix):
print 'Cleaning bucket {bucket}'.format(bucket=bucket)
try:
bucket.set_canned_acl('private')
for key in bucket.list():
print 'Cleaning bucket {bucket} key {key}'.format(
bucket=bucket,
key=key,
)
key.set_canned_acl('private')
key.delete()
bucket.delete()
except boto.exception.S3ResponseError as e:
if e.error_code != 'AccessDenied':
print 'GOT UNWANTED ERROR', e.error_code
raise
# seems like we're not the owner of the bucket; ignore
pass
print 'Done with cleanup of test buckets.'
def setup():
cfg = ConfigParser.RawConfigParser()
try:
path = os.environ['S3TEST_CONF']
except KeyError:
raise RuntimeError(
'To run tests, point environment '
+ 'variable S3TEST_CONF to a config file.',
)
with file(path) as f:
cfg.readfp(f)
global prefix
try:
template = cfg.get('fixtures', 'bucket prefix')
except (ConfigParser.NoSectionError, ConfigParser.NoOptionError):
template = 'test-{random}-'
prefix = choose_bucket_prefix(template=template)
s3.clear()
config.clear()
for section in cfg.sections():
try:
(type_, name) = section.split(None, 1)
except ValueError:
continue
if type_ != 's3':
continue
try:
port = cfg.getint(section, 'port')
except ConfigParser.NoOptionError:
port = None
config[name] = bunch.Bunch()
for var in [
'user_id',
'display_name',
'email',
]:
try:
config[name][var] = cfg.get(section, var)
except ConfigParser.NoOptionError:
pass
conn = boto.s3.connection.S3Connection(
aws_access_key_id=cfg.get(section, 'access_key'),
aws_secret_access_key=cfg.get(section, 'secret_key'),
is_secure=cfg.getboolean(section, 'is_secure'),
port=port,
host=cfg.get(section, 'host'),
# TODO support & test all variations
calling_format=boto.s3.connection.OrdinaryCallingFormat(),
)
s3[name] = conn
# WARNING! we actively delete all buckets we see with the prefix
# we've chosen! Choose your prefix with care, and don't reuse
# credentials!
# We also assume nobody else is going to use buckets with that
# prefix. This is racy but given enough randomness, should not
# really fail.
nuke_prefixed_buckets(prefix=prefix)
def teardown():
# remove our buckets here also, to avoid littering
nuke_prefixed_buckets(prefix=prefix)
bucket_counter = itertools.count(1)
def get_new_bucket_name():
"""
Get a bucket name that probably does not exist.
We make every attempt to use a unique random prefix, so if a
bucket by this name happens to exist, it's ok if tests give
false negatives.
"""
name = '{prefix}{num}'.format(
prefix=prefix,
num=next(bucket_counter),
)
return name
def get_new_bucket(connection=None):
"""
Get a bucket that exists and is empty.
Always recreates a bucket from scratch. This is useful to also
reset ACLs and such.
"""
if connection is None:
connection = s3.main
name = get_new_bucket_name()
# the only way for this to fail with a pre-existing bucket is if
# someone raced us between setup nuke_prefixed_buckets and here;
# ignore that as astronomically unlikely
bucket = connection.create_bucket(name)
return bucket