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, 40 insertions, 0 deletions

diff --git a/benchmarks/harness/machine_producers/BUILD b/benchmarks/harness/machine_producers/BUILD
index a48da02a1..c4e943882 100644
--- a/benchmarks/harness/machine_producers/BUILD
+++ b/benchmarks/harness/machine_producers/BUILD
@@ -20,6 +20,7 @@ py_library(
     srcs = ["mock_producer.py"],
     deps = [
         "//benchmarks/harness:machine",
+        "//benchmarks/harness/machine_producers:gcloud_producer",
         "//benchmarks/harness/machine_producers:machine_producer",
     ],
 )
@@ -38,3 +39,42 @@ py_library(
     name = "gcloud_mock_recorder",
     srcs = ["gcloud_mock_recorder.py"],
 )
+
+py_library(
+    name = "gcloud_producer",
+    srcs = ["gcloud_producer.py"],
+    deps = [
+        "//benchmarks/harness:machine",
+        "//benchmarks/harness/machine_producers:gcloud_mock_recorder",
+        "//benchmarks/harness/machine_producers:machine_producer",
+    ],
+)
+
+filegroup(
+    name = "test_data",
+    srcs = [
+        "testdata/get_five.json",
+        "testdata/get_one.json",
+    ],
+)
+
+py_library(
+    name = "gcloud_producer_test_lib",
+    srcs = ["gcloud_producer_test.py"],
+    deps = [
+        "//benchmarks/harness/machine_producers:machine_producer",
+        "//benchmarks/harness/machine_producers:mock_producer",
+    ],
+)
+
+py_test(
+    name = "gcloud_producer_test",
+    srcs = [":gcloud_producer_test_lib"],
+    data = [
+        ":test_data",
+    ],
+    python_version = "PY3",
+    tags = [
+        "local",
+    ],
+)