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ansible/test/units/module_utils/aws/test_aws_module.py

140 lines
6.2 KiB
Python

# -*- coding: utf-8 -*-
# (c) 2017, Michael De La Rue
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
from pytest import importorskip
import unittest
from ansible.module_utils import basic
from ansible.module_utils.aws.core import AnsibleAWSModule
from ansible.module_utils._text import to_bytes
from ansible.compat.tests.mock import Mock, patch
import json
importorskip("boto3")
botocore = importorskip("botocore")
class AWSModuleTestCase(unittest.TestCase):
AnsiballZ improvements Now that we don't need to worry about python-2.4 and 2.5, we can make some improvements to the way AnsiballZ handles modules. * Change AnsiballZ wrapper to use import to invoke the module We need the module to think of itself as a script because it could be coded as: main() or as: if __name__ == '__main__': main() Or even as: if __name__ == '__main__': random_function_name() A script will invoke all of those. Prior to this change, we invoked a second Python interpreter on the module so that it really was a script. However, this means that we have to run python twice (once for the AnsiballZ wrapper and once for the module). This change makes the module think that it is a script (because __name__ in the module == '__main__') but it's actually being invoked by us importing the module code. There's three ways we've come up to do this. * The most elegant is to use zipimporter and tell the import mechanism that the module being loaded is __main__: * https://github.com/abadger/ansible/blob/5959f11c9ddb7b6eaa9c3214560bd85e631d4055/lib/ansible/executor/module_common.py#L175 * zipimporter is nice because we do not have to extract the module from the zip file and save it to the disk when we do that. The import machinery does it all for us. * The drawback is that modules do not have a __file__ which points to a real file when they do this. Modules could be using __file__ to for a variety of reasons, most of those probably have replacements (the most common one is to find a writable directory for temporary files. AnsibleModule.tmpdir should be used instead) We can monkeypatch __file__ in fom AnsibleModule initialization but that's kind of gross. There's no way I can see to do this from the wrapper. * Next, there's imp.load_module(): * https://github.com/abadger/ansible/blob/340edf7489/lib/ansible/executor/module_common.py#L151 * imp has the nice property of allowing us to set __name__ to __main__ without changing the name of the file itself * We also don't have to do anything special to set __file__ for backwards compatibility (although the reason for that is the drawback): * Its drawback is that it requires the file to exist on disk so we have to explicitly extract it from the zipfile and save it to a temporary file * The last choice is to use exec to execute the module: * https://github.com/abadger/ansible/blob/f47a4ccc76/lib/ansible/executor/module_common.py#L175 * The code we would have to maintain for this looks pretty clean. In the wrapper we create a ModuleType, set __file__ on it, read the module's contents in from the zip file and then exec it. * Drawbacks: We still have to explicitly extract the file's contents from the zip archive instead of letting python's import mechanism handle it. * Exec also has hidden performance issues and breaks certain assumptions that modules could be making about their own code: http://lucumr.pocoo.org/2011/2/1/exec-in-python/ Our plan is to use imp.load_module() for now, deprecate the use of __file__ in modules, and switch to zipimport once the deprecation period for __file__ is over (without monkeypatching a fake __file__ in via AnsibleModule). * Rename the name of the AnsiBallZ wrapped module This makes it obvious that the wrapped module isn't the module file that we distribute. It's part of trying to mitigate the fact that the module is now named __main)).py in tracebacks. * Shield all wrapper symbols inside of a function With the new import code, all symbols in the wrapper become visible in the module. To mitigate the chance of collisions, move most symbols into a toplevel function. The only symbols left in the global namespace are now _ANSIBALLZ_WRAPPER and _ansiballz_main. revised porting guide entry Integrate code coverage collection into AnsiballZ. ci_coverage ci_complete
6 years ago
basic._ANSIBLE_ARGS = to_bytes(json.dumps({'ANSIBLE_MODULE_ARGS': {'_ansible_tmpdir': '/tmp/ansible-abc'}}))
def test_create_aws_module_should_set_up_params(self):
m = AnsibleAWSModule(argument_spec=dict(
win_string_arg=dict(type='list', default=['win'])
))
m_noretry_no_customargs = AnsibleAWSModule(
auto_retry=False, default_args=False,
argument_spec=dict(
success_string_arg=dict(type='list', default=['success'])
)
)
assert m, "module wasn't true!!"
assert m_noretry_no_customargs, "module wasn't true!!"
m_params = m.params
m_no_defs_params = m_noretry_no_customargs.params
assert 'region' in m_params
assert 'win' in m_params["win_string_arg"]
assert 'success' in m_no_defs_params["success_string_arg"]
assert 'aws_secret_key' not in m_no_defs_params
class ErrorReportingTestcase(unittest.TestCase):
def test_botocore_exception_reports_nicely_via_fail_json_aws(self):
AnsiballZ improvements Now that we don't need to worry about python-2.4 and 2.5, we can make some improvements to the way AnsiballZ handles modules. * Change AnsiballZ wrapper to use import to invoke the module We need the module to think of itself as a script because it could be coded as: main() or as: if __name__ == '__main__': main() Or even as: if __name__ == '__main__': random_function_name() A script will invoke all of those. Prior to this change, we invoked a second Python interpreter on the module so that it really was a script. However, this means that we have to run python twice (once for the AnsiballZ wrapper and once for the module). This change makes the module think that it is a script (because __name__ in the module == '__main__') but it's actually being invoked by us importing the module code. There's three ways we've come up to do this. * The most elegant is to use zipimporter and tell the import mechanism that the module being loaded is __main__: * https://github.com/abadger/ansible/blob/5959f11c9ddb7b6eaa9c3214560bd85e631d4055/lib/ansible/executor/module_common.py#L175 * zipimporter is nice because we do not have to extract the module from the zip file and save it to the disk when we do that. The import machinery does it all for us. * The drawback is that modules do not have a __file__ which points to a real file when they do this. Modules could be using __file__ to for a variety of reasons, most of those probably have replacements (the most common one is to find a writable directory for temporary files. AnsibleModule.tmpdir should be used instead) We can monkeypatch __file__ in fom AnsibleModule initialization but that's kind of gross. There's no way I can see to do this from the wrapper. * Next, there's imp.load_module(): * https://github.com/abadger/ansible/blob/340edf7489/lib/ansible/executor/module_common.py#L151 * imp has the nice property of allowing us to set __name__ to __main__ without changing the name of the file itself * We also don't have to do anything special to set __file__ for backwards compatibility (although the reason for that is the drawback): * Its drawback is that it requires the file to exist on disk so we have to explicitly extract it from the zipfile and save it to a temporary file * The last choice is to use exec to execute the module: * https://github.com/abadger/ansible/blob/f47a4ccc76/lib/ansible/executor/module_common.py#L175 * The code we would have to maintain for this looks pretty clean. In the wrapper we create a ModuleType, set __file__ on it, read the module's contents in from the zip file and then exec it. * Drawbacks: We still have to explicitly extract the file's contents from the zip archive instead of letting python's import mechanism handle it. * Exec also has hidden performance issues and breaks certain assumptions that modules could be making about their own code: http://lucumr.pocoo.org/2011/2/1/exec-in-python/ Our plan is to use imp.load_module() for now, deprecate the use of __file__ in modules, and switch to zipimport once the deprecation period for __file__ is over (without monkeypatching a fake __file__ in via AnsibleModule). * Rename the name of the AnsiBallZ wrapped module This makes it obvious that the wrapped module isn't the module file that we distribute. It's part of trying to mitigate the fact that the module is now named __main)).py in tracebacks. * Shield all wrapper symbols inside of a function With the new import code, all symbols in the wrapper become visible in the module. To mitigate the chance of collisions, move most symbols into a toplevel function. The only symbols left in the global namespace are now _ANSIBALLZ_WRAPPER and _ansiballz_main. revised porting guide entry Integrate code coverage collection into AnsiballZ. ci_coverage ci_complete
6 years ago
basic._ANSIBLE_ARGS = to_bytes(json.dumps({'ANSIBLE_MODULE_ARGS': {'_ansible_tmpdir': '/tmp/ansible-abc'}}))
module = AnsibleAWSModule(argument_spec=dict(
fail_mode=dict(type='list', default=['success'])
))
fail_json_double = Mock()
err_msg = {'Error': {'Code': 'FakeClass.FakeError'}}
with patch.object(basic.AnsibleModule, 'fail_json', fail_json_double):
try:
raise botocore.exceptions.ClientError(err_msg, 'Could not find you')
except Exception as e:
print("exception is " + str(e))
module.fail_json_aws(e, msg="Fake failure for testing boto exception messages")
assert(len(fail_json_double.mock_calls) >
0), "failed to call fail_json when should have"
assert(len(fail_json_double.mock_calls) <
2), "called fail_json multiple times when once would do"
assert("test_botocore_exception_reports_nicely"
in fail_json_double.mock_calls[0][2]["exception"]), \
"exception traceback doesn't include correct function, fail call was actually: " \
+ str(fail_json_double.mock_calls[0])
assert("Fake failure for testing boto exception messages:"
in fail_json_double.mock_calls[0][2]["msg"]), \
"error message doesn't include the local message; was: " \
+ str(fail_json_double.mock_calls[0])
assert("Could not find you" in fail_json_double.mock_calls[0][2]["msg"]), \
"error message doesn't include the botocore exception message; was: " \
+ str(fail_json_double.mock_calls[0])
try:
fail_json_double.mock_calls[0][2]["error"]
except KeyError:
raise Exception("error was missing; call was: " + str(fail_json_double.mock_calls[0]))
assert("FakeClass.FakeError" == fail_json_double.mock_calls[0][2]["error"]["code"]), \
"Failed to find error/code; was: " + str(fail_json_double.mock_calls[0])
def test_botocore_exception_without_response_reports_nicely_via_fail_json_aws(self):
AnsiballZ improvements Now that we don't need to worry about python-2.4 and 2.5, we can make some improvements to the way AnsiballZ handles modules. * Change AnsiballZ wrapper to use import to invoke the module We need the module to think of itself as a script because it could be coded as: main() or as: if __name__ == '__main__': main() Or even as: if __name__ == '__main__': random_function_name() A script will invoke all of those. Prior to this change, we invoked a second Python interpreter on the module so that it really was a script. However, this means that we have to run python twice (once for the AnsiballZ wrapper and once for the module). This change makes the module think that it is a script (because __name__ in the module == '__main__') but it's actually being invoked by us importing the module code. There's three ways we've come up to do this. * The most elegant is to use zipimporter and tell the import mechanism that the module being loaded is __main__: * https://github.com/abadger/ansible/blob/5959f11c9ddb7b6eaa9c3214560bd85e631d4055/lib/ansible/executor/module_common.py#L175 * zipimporter is nice because we do not have to extract the module from the zip file and save it to the disk when we do that. The import machinery does it all for us. * The drawback is that modules do not have a __file__ which points to a real file when they do this. Modules could be using __file__ to for a variety of reasons, most of those probably have replacements (the most common one is to find a writable directory for temporary files. AnsibleModule.tmpdir should be used instead) We can monkeypatch __file__ in fom AnsibleModule initialization but that's kind of gross. There's no way I can see to do this from the wrapper. * Next, there's imp.load_module(): * https://github.com/abadger/ansible/blob/340edf7489/lib/ansible/executor/module_common.py#L151 * imp has the nice property of allowing us to set __name__ to __main__ without changing the name of the file itself * We also don't have to do anything special to set __file__ for backwards compatibility (although the reason for that is the drawback): * Its drawback is that it requires the file to exist on disk so we have to explicitly extract it from the zipfile and save it to a temporary file * The last choice is to use exec to execute the module: * https://github.com/abadger/ansible/blob/f47a4ccc76/lib/ansible/executor/module_common.py#L175 * The code we would have to maintain for this looks pretty clean. In the wrapper we create a ModuleType, set __file__ on it, read the module's contents in from the zip file and then exec it. * Drawbacks: We still have to explicitly extract the file's contents from the zip archive instead of letting python's import mechanism handle it. * Exec also has hidden performance issues and breaks certain assumptions that modules could be making about their own code: http://lucumr.pocoo.org/2011/2/1/exec-in-python/ Our plan is to use imp.load_module() for now, deprecate the use of __file__ in modules, and switch to zipimport once the deprecation period for __file__ is over (without monkeypatching a fake __file__ in via AnsibleModule). * Rename the name of the AnsiBallZ wrapped module This makes it obvious that the wrapped module isn't the module file that we distribute. It's part of trying to mitigate the fact that the module is now named __main)).py in tracebacks. * Shield all wrapper symbols inside of a function With the new import code, all symbols in the wrapper become visible in the module. To mitigate the chance of collisions, move most symbols into a toplevel function. The only symbols left in the global namespace are now _ANSIBALLZ_WRAPPER and _ansiballz_main. revised porting guide entry Integrate code coverage collection into AnsiballZ. ci_coverage ci_complete
6 years ago
basic._ANSIBLE_ARGS = to_bytes(json.dumps({'ANSIBLE_MODULE_ARGS': {'_ansible_tmpdir': '/tmp/ansible-abc'}}))
module = AnsibleAWSModule(argument_spec=dict(
fail_mode=dict(type='list', default=['success'])
))
fail_json_double = Mock()
err_msg = None
with patch.object(basic.AnsibleModule, 'fail_json', fail_json_double):
try:
raise botocore.exceptions.ClientError(err_msg, 'Could not find you')
except Exception as e:
print("exception is " + str(e))
module.fail_json_aws(e, msg="Fake failure for testing boto exception messages")
assert(len(fail_json_double.mock_calls) > 0), "failed to call fail_json when should have"
assert(len(fail_json_double.mock_calls) < 2), "called fail_json multiple times"
assert("test_botocore_exception_without_response_reports_nicely_via_fail_json_aws"
in fail_json_double.mock_calls[0][2]["exception"]), \
"exception traceback doesn't include correct function, fail call was actually: " \
+ str(fail_json_double.mock_calls[0])
assert("Fake failure for testing boto exception messages"
in fail_json_double.mock_calls[0][2]["msg"]), \
"error message doesn't include the local message; was: " \
+ str(fail_json_double.mock_calls[0])
# I would have thought this should work, however the botocore exception comes back with
# "argument of type 'NoneType' is not iterable" so it's probably not really designed
# to handle "None" as an error response.
#
# assert("Could not find you" in fail_json_double.mock_calls[0][2]["msg"]), \
# "error message doesn't include the botocore exception message; was: " \
# + str(fail_json_double.mock_calls[0])
# TODO:
# - an exception without a message
# - plain boto exception
# - socket errors and other standard things.