72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"Shared fixtures"
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import os
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import pytest
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import tftest
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BASEDIR = os.path.dirname(os.path.dirname(__file__))
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@pytest.fixture(scope='session')
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def e2e_plan_runner(plan_runner):
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"Returns a function to run Terraform plan on an end-to-end fixture."
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def run_plan(fixture_path, targets=None):
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"Runs Terraform plan on an end-to-end module using defaults, returns data."
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_, modules = plan_runner(fixture_path, is_module=False, targets=targets)
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resources = [r for m in modules.values() for r in m]
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return modules, resources
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return run_plan
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@pytest.fixture(scope='session')
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def plan_runner():
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"Returns a function to run Terraform plan on a fixture."
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def run_plan(fixture_path, is_module=True, targets=None, **tf_vars):
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"Runs Terraform plan and returns parsed output"
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tf = tftest.TerraformTest(fixture_path, BASEDIR,
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os.environ.get('TERRAFORM', 'terraform'))
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tf.setup()
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plan = tf.plan(output=True, tf_vars=tf_vars, targets=targets)
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root_module = plan.planned_values['root_module']['child_modules'][0]
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if is_module:
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return (plan, root_module['resources'])
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modules = dict((mod['address'], mod['resources'])
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for mod in root_module['child_modules'])
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return plan, modules
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return run_plan
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@pytest.fixture(scope='session')
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def apply_runner():
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"Returns a function to run Terraform apply on a fixture."
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def run_apply(fixture_path, **tf_vars):
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"Runs Terraform apply and returns parsed output"
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tf = tftest.TerraformTest(fixture_path, BASEDIR,
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os.environ.get('TERRAFORM', 'terraform'))
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tf.setup()
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apply = tf.apply(tf_vars=tf_vars)
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output = tf.output(json_format=True)
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return apply, output
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return run_apply
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