# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. "Shared fixtures" import os import pytest import tftest BASEDIR = os.path.dirname(os.path.dirname(__file__)) @pytest.fixture(scope='session') def _plan_runner(): "Returns a function to run Terraform plan on a fixture." def run_plan(fixture_path, targets=None, refresh=True, **tf_vars): "Runs Terraform plan and returns parsed output." tf = tftest.TerraformTest(fixture_path, BASEDIR, os.environ.get('TERRAFORM', 'terraform')) tf.setup() return tf.plan(output=True, refresh=refresh, tf_vars=tf_vars, targets=targets) return run_plan @pytest.fixture(scope='session') def plan_runner(_plan_runner): "Returns a function to run Terraform plan on a module fixture." def run_plan(fixture_path, targets=None, **tf_vars): "Runs Terraform plan and returns plan and module resources." plan = _plan_runner(fixture_path, targets=targets, **tf_vars) # skip the fixture root_module = plan.root_module['child_modules'][0] return plan, root_module['resources'] return run_plan @pytest.fixture(scope='session') def e2e_plan_runner(_plan_runner): "Returns a function to run Terraform plan on an end-to-end fixture." def run_plan(fixture_path, targets=None, refresh=True, **tf_vars): "Runs Terraform plan on an end-to-end module using defaults, returns data." plan = _plan_runner(fixture_path, targets=targets, refresh=refresh, **tf_vars) # skip the fixture root_module = plan.root_module['child_modules'][0] modules = dict((mod['address'], mod['resources']) for mod in root_module['child_modules']) resources = [r for m in modules.values() for r in m] return modules, resources return run_plan @pytest.fixture(scope='session') def example_plan_runner(_plan_runner): "Returns a function to run Terraform plan on documentation examples." def run_plan(fixture_path): "Runs Terraform plan and returns count of modules and resources." plan = _plan_runner(fixture_path) # the fixture is the example we are testing return ( len(plan.modules), sum(len(m.resources) for m in plan.modules.values())) return run_plan @pytest.fixture(scope='session') def apply_runner(): "Returns a function to run Terraform apply on a fixture." def run_apply(fixture_path, **tf_vars): "Runs Terraform apply and returns parsed output" tf = tftest.TerraformTest(fixture_path, BASEDIR, os.environ.get('TERRAFORM', 'terraform')) tf.setup() apply = tf.apply(tf_vars=tf_vars) output = tf.output(json_format=True) return apply, output return run_apply