Files
hunfabric/tests/conftest.py
Ludovico Magnocavallo f62b9362a2 ILB for appliances example (#122)
* rename infrastructure folder to networking

* example WIP: VPCs

* move ip forwarding to its own variable in compute-vm module

* add per-instance metadata support to compute-vm module

* ipip tunnels on linux savepoint

* simple multinic gateways example

* remove stale files

* resolve conflicts

* update diagram

* rename folder

* use a template for gw cloud config, rename some resources and files

* Update README.md

* Update README.md

* add basic plan tests for all networking e2e examples

* fix test for foundations/environments e2e example

* fix shared vpc e2 example count error in gke node service account permissions

* use module path for assets in onprem e2e example

* use project id from module in ilb e2e example

* add mising boilerplates in tests

* run examples tests in ci

* update module's README

* rename ilb example

* Update README.md

* fix rp_filter configuration

* README

* Update README.md

* Update README.md

* Update README.md

* update CHANGELOG

* update CHANGELOG

* Update README.md
2020-08-15 10:12:43 +02:00

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Python

# Copyright 2020 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 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):
"Runs Terraform plan on an end-to-end module using defaults, returns data."
_, modules = plan_runner(fixture_path, is_module=False, targets=targets)
resources = [r for m in modules.values() for r in m]
return modules, resources
return run_plan
@pytest.fixture(scope='session')
def plan_runner():
"Returns a function to run Terraform plan on a fixture."
def run_plan(fixture_path, is_module=True, targets=None, **tf_vars):
"Runs Terraform plan and returns parsed output"
tf = tftest.TerraformTest(fixture_path, BASEDIR,
os.environ.get('TERRAFORM', 'terraform'))
tf.setup()
plan = tf.plan(output=True, tf_vars=tf_vars, targets=targets)
root_module = plan.planned_values['root_module']['child_modules'][0]
if is_module:
return (plan, root_module['resources'])
modules = dict((mod['address'], mod['resources'])
for mod in root_module['child_modules'])
return plan, modules
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