Add FakeData generator test utility

This adds a FakeData file-like generator that is able to generate
arbitrary amounts of data when we need to simulate reading from a
file or request pipeline, without having to store all of that in
memory.

Change-Id: Iff1fbe2b55f4be12e69c9fd3dec7e3b3e2593e53
This commit is contained in:
Dan Smith 2020-08-18 07:51:43 -07:00
parent 3f6e349d08
commit dc08127f05
2 changed files with 79 additions and 0 deletions

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@ -0,0 +1,37 @@
# Copyright 2020 Red Hat, Inc
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from glance.tests import utils as test_utils
class TestFakeData(test_utils.BaseTestCase):
def test_via_read(self):
fd = test_utils.FakeData(1024)
data = []
for i in range(0, 1025, 256):
chunk = fd.read(256)
data.append(chunk)
if not chunk:
break
self.assertEqual(5, len(data))
# Make sure we got a zero-length final read
self.assertEqual(b'', data[-1])
# Make sure we only got 1024 bytes
self.assertEqual(1024, len(b''.join(data)))
def test_via_iter(self):
data = b''.join(list(test_utils.FakeData(1024)))
self.assertEqual(1024, len(data))

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@ -34,6 +34,7 @@ from oslo_config import fixture as cfg_fixture
from oslo_log.fixture import logging_error as log_fixture
from oslo_log import log
from oslo_utils import timeutils
from oslo_utils import units
import six
from six.moves import BaseHTTPServer
from six.moves import http_client as http
@ -728,3 +729,44 @@ def start_standalone_http_server():
thread.start()
return thread, httpd, port
class FakeData(object):
"""Generate a bunch of data without storing it in memory.
This acts like a read-only file object which generates fake data
in chunks when read() is called or it is used as a generator. It
can generate an arbitrary amount of data without storing it in
memory.
:param length: The number of bytes to generate
:param chunk_size: The chunk size to return in iteration mode, or when
read() is called unbounded
"""
def __init__(self, length, chunk_size=64 * units.Ki):
self._max = length
self._chunk_size = chunk_size
self._len = 0
def read(self, length=None):
if length is None:
length = self._chunk_size
length = min(length, self._max - self._len)
self._len += length
if length == 0:
return b''
else:
return b'0' * length
def __iter__(self):
return self
def __next__(self):
r = self.read()
if len(r) == 0:
raise StopIteration()
else:
return r