af4971fd1a
* Only create placebo recording test directories when the environment variable PLACEBO_RECORD is set
(cherry picked from commit 5467ac3454
)
210 lines
6.7 KiB
Python
210 lines
6.7 KiB
Python
import errno
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import os
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import time
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import mock
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import pytest
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boto3 = pytest.importorskip("boto3")
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botocore = pytest.importorskip("botocore")
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placebo = pytest.importorskip("placebo")
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"""
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Using Placebo to test modules using boto3:
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This is an example test, using the placeboify fixture to test that a module
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will fail if resources it depends on don't exist.
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> from placebo_fixtures import placeboify, scratch_vpc
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>
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> def test_create_with_nonexistent_launch_config(placeboify):
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> connection = placeboify.client('autoscaling')
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> module = FakeModule('test-asg-created', None, min_size=0, max_size=0, desired_capacity=0)
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> with pytest.raises(FailJSON) as excinfo:
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> asg_module.create_autoscaling_group(connection, module)
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> .... asserts based on module state/exceptions ....
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In more advanced cases, use unrecorded resource fixtures to fill in ARNs/IDs of
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things modules depend on, such as:
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> def test_create_in_vpc(placeboify, scratch_vpc):
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> connection = placeboify.client('autoscaling')
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> module = FakeModule(name='test-asg-created',
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> min_size=0, max_size=0, desired_capacity=0,
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> availability_zones=[s['az'] for s in scratch_vpc['subnets']],
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> vpc_zone_identifier=[s['id'] for s in scratch_vpc['subnets']],
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> )
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> ..... so on and so forth ....
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"""
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@pytest.fixture
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def placeboify(request, monkeypatch):
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"""This fixture puts a recording/replaying harness around `boto3_conn`
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Placeboify patches the `boto3_conn` function in ec2 module_utils to return
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a boto3 session that in recording or replaying mode, depending on the
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PLACEBO_RECORD environment variable. Unset PLACEBO_RECORD (the common case
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for just running tests) will put placebo in replay mode, set PLACEBO_RECORD
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to any value to turn off replay & operate on real AWS resources.
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The recorded sessions are stored in the test file's directory, under the
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namespace `placebo_recordings/{testfile name}/{test function name}` to
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distinguish them.
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"""
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session = boto3.Session(region_name='us-west-2')
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recordings_path = os.path.join(
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request.fspath.dirname,
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'placebo_recordings',
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request.fspath.basename.replace('.py', ''),
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request.function.__name__
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# remove the test_ prefix from the function & file name
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).replace('test_', '')
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if not os.getenv('PLACEBO_RECORD'):
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if not os.path.isdir(recordings_path):
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raise NotImplementedError('Missing Placebo recordings in directory: %s' % recordings_path)
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else:
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try:
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# make sure the directory for placebo test recordings is available
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os.makedirs(recordings_path)
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except OSError as e:
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if e.errno != errno.EEXIST:
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raise
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pill = placebo.attach(session, data_path=recordings_path)
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if os.getenv('PLACEBO_RECORD'):
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pill.record()
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else:
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pill.playback()
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def boto3_middleman_connection(module, conn_type, resource, region='us-west-2', **kwargs):
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if conn_type != 'client':
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# TODO support resource-based connections
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raise ValueError('Mocker only supports client, not %s' % conn_type)
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return session.client(resource, region_name=region)
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import ansible.module_utils.ec2
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monkeypatch.setattr(
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ansible.module_utils.ec2,
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'boto3_conn',
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boto3_middleman_connection,
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)
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yield session
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# tear down
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pill.stop()
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@pytest.fixture(scope='module')
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def basic_launch_config():
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"""Create an EC2 launch config whose creation *is not* recorded and return its name
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This fixture is module-scoped, since launch configs are immutable and this
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can be reused for many tests.
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"""
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if not os.getenv('PLACEBO_RECORD'):
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yield 'pytest_basic_lc'
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return
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# use a *non recording* session to make the launch config
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# since that's a prereq of the ec2_asg module, and isn't what
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# we're testing.
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asg = boto3.client('autoscaling')
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asg.create_launch_configuration(
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LaunchConfigurationName='pytest_basic_lc',
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ImageId='ami-9be6f38c', # Amazon Linux 2016.09 us-east-1 AMI, can be any valid AMI
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SecurityGroups=[],
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UserData='#!/bin/bash\necho hello world',
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InstanceType='t2.micro',
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InstanceMonitoring={'Enabled': False},
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AssociatePublicIpAddress=True
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)
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yield 'pytest_basic_lc'
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try:
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asg.delete_launch_configuration(LaunchConfigurationName='pytest_basic_lc')
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except botocore.exceptions.ClientError as e:
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if 'not found' in e.message:
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return
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raise
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@pytest.fixture(scope='module')
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def scratch_vpc():
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if not os.getenv('PLACEBO_RECORD'):
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yield {
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'vpc_id': 'vpc-123456',
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'cidr_range': '10.0.0.0/16',
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'subnets': [
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{
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'id': 'subnet-123456',
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'az': 'us-east-1d',
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},
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{
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'id': 'subnet-654321',
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'az': 'us-east-1e',
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},
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]
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}
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return
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# use a *non recording* session to make the base VPC and subnets
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ec2 = boto3.client('ec2')
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vpc_resp = ec2.create_vpc(
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CidrBlock='10.0.0.0/16',
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AmazonProvidedIpv6CidrBlock=False,
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)
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subnets = (
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ec2.create_subnet(
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VpcId=vpc_resp['Vpc']['VpcId'],
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CidrBlock='10.0.0.0/24',
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),
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ec2.create_subnet(
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VpcId=vpc_resp['Vpc']['VpcId'],
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CidrBlock='10.0.1.0/24',
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)
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)
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time.sleep(3)
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yield {
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'vpc_id': vpc_resp['Vpc']['VpcId'],
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'cidr_range': '10.0.0.0/16',
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'subnets': [
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{
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'id': s['Subnet']['SubnetId'],
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'az': s['Subnet']['AvailabilityZone'],
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} for s in subnets
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]
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}
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try:
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for s in subnets:
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try:
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ec2.delete_subnet(SubnetId=s['Subnet']['SubnetId'])
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except botocore.exceptions.ClientError as e:
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if 'not found' in e.message:
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continue
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raise
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ec2.delete_vpc(VpcId=vpc_resp['Vpc']['VpcId'])
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except botocore.exceptions.ClientError as e:
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if 'not found' in e.message:
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return
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raise
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@pytest.fixture(scope='module')
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def maybe_sleep():
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"""If placebo is reading saved sessions, make sleep always take 0 seconds.
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AWS modules often perform polling or retries, but when using recorded
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sessions there's no reason to wait. We can still exercise retry and other
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code paths without waiting for wall-clock time to pass."""
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if not os.getenv('PLACEBO_RECORD'):
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p = mock.patch('time.sleep', return_value=None)
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p.start()
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yield
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p.stop()
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else:
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yield
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