4af156c837
1. Add separated exception handler 2. Change to call APIs in parallel Change-Id: I51e53f10706e3e1bb7c7a3307e3f31c1e77a12ce
132 lines
4.2 KiB
Python
132 lines
4.2 KiB
Python
# Copyright 2012 Nebula, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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def load_test_data(load_onto=None):
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from heat_dashboard.test.test_data import cinder_data
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from heat_dashboard.test.test_data import exceptions
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from heat_dashboard.test.test_data import glance_data
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from heat_dashboard.test.test_data import heat_data
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from heat_dashboard.test.test_data import keystone_data
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from heat_dashboard.test.test_data import neutron_data
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from heat_dashboard.test.test_data import nova_data
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# The order of these loaders matters, some depend on others.
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loaders = (
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exceptions.data,
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keystone_data.data,
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glance_data.data,
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nova_data.data,
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cinder_data.data,
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neutron_data.data,
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# swift_data.data,
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heat_data.data,
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)
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if load_onto:
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for data_func in loaders:
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data_func(load_onto)
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return load_onto
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else:
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return TestData(*loaders)
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class TestData(object):
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"""Holder object for test data.
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Any functions passed to the init method will be called with the
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``TestData`` object as their only argument.
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They can then load data onto the object as desired.
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The idea is to use the instantiated object like this::
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>>> import glance_data
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>>> TEST = TestData(glance_data.data)
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>>> TEST.images.list()
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[<Image: visible_image>, <Image: invisible_image>]
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>>> TEST.images.first()
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<Image: visible_image>
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You can load as little or as much data as you like as long as the loaders
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don't conflict with each other.
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See the
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:class:`~openstack_dashboard.test.test_data.utils.TestDataContainer`
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class for a list of available methods.
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"""
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def __init__(self, *args):
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for data_func in args:
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data_func(self)
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class TestDataContainer(object):
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"""A container for test data objects.
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The behavior of this class is meant to mimic a "manager" class, which
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has convenient shortcuts for common actions like "list", "filter", "get",
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and "add".
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"""
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def __init__(self):
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self._objects = []
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def add(self, *args):
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"""Add a new object to this container.
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Generally this method should only be used during data loading, since
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adding data during a test can affect the results of other tests.
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"""
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for obj in args:
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if obj not in self._objects:
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self._objects.append(obj)
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def list(self):
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"""Returns a list of all objects in this container."""
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return self._objects
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def filter(self, filtered=None, **kwargs):
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"""Returns objects whose attributes match the given kwargs."""
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if filtered is None:
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filtered = self._objects
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try:
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key, value = kwargs.popitem()
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except KeyError:
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# We're out of filters, return
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return filtered
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def get_match(obj):
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return hasattr(obj, key) and getattr(obj, key) == value
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filtered = [obj for obj in filtered if get_match(obj)]
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return self.filter(filtered=filtered, **kwargs)
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def get(self, **kwargs):
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"""Returns a single object whose attributes match the given kwargs.
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An error will be raised if the arguments
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provided don't return exactly one match.
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"""
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matches = self.filter(**kwargs)
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if not matches:
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raise Exception("No matches found.")
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elif len(matches) > 1:
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raise Exception("Multiple matches found.")
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else:
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return matches.pop()
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def first(self):
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"""Returns the first object from this container."""
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return self._objects[0]
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def count(self):
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return len(self._objects)
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