Implement gcloud_producer for bm-tools

bm-tools works via "Machine" objects, which are front
objects for actual virtual or physical machines. glcoud_producer
produces machines on GCP using the `gcloud` tool.

Included are:
- GCloudProducer - the class producing machines
- MockGCloudProducer - class for mocking GCloudProducer.
- tests using the mock
- test data as .json files. Code to generate this test data may be
included in a follow up.

PiperOrigin-RevId: 289005958

1 files changed, 48 insertions, 0 deletions

diff --git a/benchmarks/harness/machine_producers/gcloud_producer_test.py b/benchmarks/harness/machine_producers/gcloud_producer_test.py
new file mode 100644
index 000000000..c8adb2bdc
--- /dev/null
+++ b/benchmarks/harness/machine_producers/gcloud_producer_test.py
@@ -0,0 +1,48 @@
+# python3
+# Copyright 2019 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.
+"""Tests GCloudProducer using mock data.
+
+GCloudProducer produces machines using 'get_machines' and 'release_machines'
+methods. The tests check recorded data (jsonified subprocess.CompletedProcess
+objects) of the producer producing one and five machines.
+"""
+import os
+import types
+
+from benchmarks.harness.machine_producers import machine_producer
+from benchmarks.harness.machine_producers import mock_producer
+
+TEST_DIR = os.path.dirname(__file__)
+
+
+def run_get_release(producer: machine_producer.MachineProducer,
+                    num_machines: int,
+                    validator: types.FunctionType = None):
+  machines = producer.get_machines(num_machines)
+  assert len(machines) == num_machines
+  if validator:
+    validator(machines=machines, cmd="uname -a", workload=None)
+  producer.release_machines(machines)
+
+
+def test_run_one():
+  mock = mock_producer.MockReader(TEST_DIR + "get_one.json")
+  producer = mock_producer.MockGCloudProducer(mock)
+  run_get_release(producer, 1)
+
+
+def test_run_five():
+  mock = mock_producer.MockReader(TEST_DIR + "get_five.json")
+  producer = mock_producer.MockGCloudProducer(mock)
+  run_get_release(producer, 5)