Files
python-barbicanclient/functionaltests/utils.py
Thomas Dinkjian 5cc121bfc0 Initial directory changes and files for python-babricanclient functional tests
The utils file was copied from the barbican api functional tests repo.
No changes were made to the utils file.
The base.py file contains the oslo testcase setup.
Also added functional_tests conf file for identity and barbican information.

Change-Id: If14488bdc340e8534392fe5f42530c41b4636eac
2015-01-30 12:11:40 -06:00

177 lines
5.6 KiB
Python

# Copyright (c) 2013-2014 Rackspace, Inc.
#
# 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.
import datetime
import functools
from os import path
import time
import types
import urlparse
import oslotest.base as oslotest
import six
class BaseTestCase(oslotest.BaseTestCase):
def setUp(self):
super(BaseTestCase, self).setUp()
self.order_id = 'order1234'
self.external_project_id = 'keystone1234'
def tearDown(self):
super(BaseTestCase, self).tearDown()
def construct_new_test_function(original_func, name, build_params):
"""Builds a new test function based on parameterized data.
:param original_func: The original test function that is used as a template
:param name: The fullname of the new test function
:param build_params: A dictionary or list containing args or kwargs
for the new test
:return: A new function object
"""
new_func = types.FunctionType(
six.get_function_code(original_func),
six.get_function_globals(original_func),
name=name,
argdefs=six.get_function_defaults(original_func)
)
# Support either an arg list or kwarg dict for our data
build_args = build_params if isinstance(build_params, list) else []
build_kwargs = build_params if isinstance(build_params, dict) else {}
# Build a test wrapper to execute with our kwargs
def test_wrapper(func, test_args, test_kwargs):
@functools.wraps(func)
def wrapper(self):
return func(self, *test_args, **test_kwargs)
return wrapper
return test_wrapper(new_func, build_args, build_kwargs)
def process_parameterized_function(name, func_obj, build_data):
"""Build lists of functions to add and remove to a test case."""
to_remove = []
to_add = []
for subtest_name, params in six.iteritems(build_data):
# Build new test function
func_name = '{0}_{1}'.format(name, subtest_name)
new_func = construct_new_test_function(func_obj, func_name, params)
# Mark the new function as needed to be added to the class
to_add.append((func_name, new_func))
# Mark key for removal
to_remove.append(name)
return to_remove, to_add
def parameterized_test_case(cls):
"""Class decorator to process parameterized tests
This allows for parameterization to be used for potentially any
unittest compatible runner; including testr and py.test.
"""
tests_to_remove = []
tests_to_add = []
for key, val in six.iteritems(vars(cls)):
# Only process tests with build data on them
if key.startswith('test_') and val.__dict__.get('build_data'):
to_remove, to_add = process_parameterized_function(
name=key,
func_obj=val,
build_data=val.__dict__.get('build_data')
)
tests_to_remove.extend(to_remove)
tests_to_add.extend(to_add)
# Add all new test functions
[setattr(cls, name, func) for name, func in tests_to_add]
# Remove all old test function templates (if they still exist)
[delattr(cls, key) for key in tests_to_remove if hasattr(cls, key)]
return cls
def parameterized_dataset(build_data):
"""Simple decorator to mark a test method for processing."""
def decorator(func):
func.__dict__['build_data'] = build_data
return func
return decorator
def create_timestamp_w_tz_and_offset(timezone=None, days=0, hours=0, minutes=0,
seconds=0):
"""Creates a timestamp with a timezone and offset in days
:param timezone: Timezone used in creation of timestamp
:param days: The offset in days
:param hours: The offset in hours
:param minutes: The offset in minutes
:return a timestamp
"""
if timezone is None:
timezone = time.strftime("%z")
timestamp = '{time}{timezone}'.format(
time=(datetime.datetime.today() + datetime.timedelta(days=days,
hours=hours,
minutes=minutes,
seconds=seconds)),
timezone=timezone)
return timestamp
def get_limit_and_offset_from_ref(ref):
matches = dict(urlparse.parse_qsl(urlparse.urlparse(ref).query))
ref_limit = matches['limit']
ref_offset = matches['offset']
return ref_limit, ref_offset
def get_tomorrow_timestamp():
tomorrow = (datetime.today() + datetime.timedelta(days=1))
return tomorrow.isoformat()
def string_to_datetime(datetimestring, date_formats=None):
date_formats = date_formats or [
'%Y-%m-%d %H:%M:%S', '%Y-%m-%d %H:%M:%S.%f', '%Y-%m-%dT%H:%M:%S.%fZ',
'%Y-%m-%dT%H:%M:%S.%f', "%Y-%m-%dT%H:%M:%SZ", "%Y-%m-%dT%H:%M:%S"]
for dateformat in date_formats:
try:
return datetime.datetime.strptime(datetimestring, dateformat)
except ValueError:
continue
else:
raise
def get_id_from_ref(ref):
"""Returns id from reference."""
ref_id = None
if ref is not None and len(ref) > 0:
ref_id = path.split(ref)[1]
return ref_id