126 lines
4.7 KiB
Python
126 lines
4.7 KiB
Python
# Copyright 2022 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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"""Legacy pytest fixtures.
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The fixtures contained in this file will eventually go away. Consider
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using one of the fixtures in fixtures.py
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"""
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import inspect
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import os
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import shutil
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import tempfile
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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 _plan_runner():
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'Return a function to run Terraform plan on a fixture.'
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def run_plan(fixture_path=None, extra_files=None, tf_var_file=None,
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targets=None, refresh=True, tmpdir=True, **tf_vars):
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'Run Terraform plan and returns parsed output.'
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if fixture_path is None:
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# find out the fixture directory from the caller's directory
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caller = inspect.stack()[2]
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fixture_path = os.path.join(os.path.dirname(caller.filename), 'fixture')
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fixture_parent = os.path.dirname(fixture_path)
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fixture_prefix = os.path.basename(fixture_path) + '_'
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with tempfile.TemporaryDirectory(prefix=fixture_prefix,
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dir=fixture_parent) as tmp_path:
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# copy fixture to a temporary directory so we can execute
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# multiple tests in parallel
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if tmpdir:
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shutil.copytree(fixture_path, tmp_path, dirs_exist_ok=True)
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tf = tftest.TerraformTest(tmp_path if tmpdir else fixture_path, BASEDIR,
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os.environ.get('TERRAFORM', 'terraform'))
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tf.setup(extra_files=extra_files, upgrade=True)
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plan = tf.plan(output=True, refresh=refresh, tf_var_file=tf_var_file,
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tf_vars=tf_vars, targets=targets)
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return plan
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return run_plan
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@pytest.fixture(scope='session')
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def plan_runner(_plan_runner):
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'Return a function to run Terraform plan on a module fixture.'
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def run_plan(fixture_path=None, extra_files=None, tf_var_file=None,
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targets=None, **tf_vars):
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'Run Terraform plan and returns plan and module resources.'
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plan = _plan_runner(fixture_path, extra_files=extra_files,
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tf_var_file=tf_var_file, targets=targets, **tf_vars)
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# skip the fixture
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root_module = plan.root_module['child_modules'][0]
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return plan, root_module['resources']
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return run_plan
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@pytest.fixture(scope='session')
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def e2e_plan_runner(_plan_runner):
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'Return a function to run Terraform plan on an end-to-end fixture.'
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def run_plan(fixture_path=None, tf_var_file=None, targets=None, refresh=True,
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include_bare_resources=False, **tf_vars):
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'Run Terraform plan on an end-to-end module using defaults, returns data.'
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plan = _plan_runner(fixture_path, tf_var_file=tf_var_file, targets=targets,
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refresh=refresh, **tf_vars)
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# skip the fixture
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root_module = plan.root_module['child_modules'][0]
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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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resources = [r for m in modules.values() for r in m]
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if include_bare_resources:
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bare_resources = root_module['resources']
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resources.extend(bare_resources)
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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 apply_runner():
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'Return a function to run Terraform apply on a fixture.'
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def run_apply(fixture_path=None, **tf_vars):
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'Run Terraform plan and returns parsed output.'
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if fixture_path is None:
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# find out the fixture directory from the caller's directory
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caller = inspect.stack()[1]
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fixture_path = os.path.join(os.path.dirname(caller.filename), 'fixture')
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fixture_parent = os.path.dirname(fixture_path)
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fixture_prefix = os.path.basename(fixture_path) + '_'
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with tempfile.TemporaryDirectory(prefix=fixture_prefix,
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dir=fixture_parent) as tmp_path:
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# copy fixture to a temporary directory so we can execute
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# multiple tests in parallel
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shutil.copytree(fixture_path, tmp_path, dirs_exist_ok=True)
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tf = tftest.TerraformTest(tmp_path, BASEDIR,
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os.environ.get('TERRAFORM', 'terraform'))
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tf.setup(upgrade=True)
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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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