[CI] Add unittesting for metrics collection script

This patch adds some initial unittests for the metrics collection
script. This initial patch focuses on getting the files setup and adding
unittests for uploading metrics. A subsequent patch will add tests for
the workflow collection which is significantly more complicated.

Pull Request: llvm#150360

Author: boomanaiden154

.ci/metrics/metrics_test.py

@@ -0,0 +1,66 @@
+# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+"""Tests for metrics.py"""
+
+from dataclasses import dataclass
+import requests
+import unittest
+import unittest.mock
+
+import metrics
+
+
+class TestMetrics(unittest.TestCase):
+    def test_upload_gauge_metric(self):
+        test_metrics = [metrics.GaugeMetric("gauge_test", 5, 1000)]
+        return_value = requests.Response()
+        return_value.status_code = 204
+        with unittest.mock.patch(
+            "requests.post", return_value=return_value
+        ) as post_mock:
+            metrics.upload_metrics(test_metrics, "test_userid", "test_api_key")
+            self.assertSequenceEqual(post_mock.call_args.args, [metrics.GRAFANA_URL])
+            self.assertEqual(
+                post_mock.call_args.kwargs["data"], "gauge_test value=5 1000"
+            )
+            self.assertEqual(
+                post_mock.call_args.kwargs["auth"], ("test_userid", "test_api_key")
+            )
+
+    def test_upload_job_metric(self):
+        test_metrics = [
+            metrics.JobMetrics("test_job", 5, 10, 1, 1000, 7, "test_workflow")
+        ]
+        return_value = requests.Response()
+        return_value.status_code = 204
+        with unittest.mock.patch(
+            "requests.post", return_value=return_value
+        ) as post_mock:
+            metrics.upload_metrics(test_metrics, "test_userid", "test_aoi_key")
+            self.assertEqual(
+                post_mock.call_args.kwargs["data"],
+                "test_job queue_time=5,run_time=10,status=1 1000",
+            )
+
+    def test_upload_unknown_metric(self):
+        @dataclass
+        class FakeMetric:
+            fake_data: str
+
+        test_metrics = [FakeMetric("test")]
+
+        with self.assertRaises(ValueError):
+            metrics.upload_metrics(test_metrics, "test_userid", "test_api_key")
+
+    def test_bad_response_code(self):
+        test_metrics = [metrics.GaugeMetric("gauge_test", 5, 1000)]
+        return_value = requests.Response()
+        return_value.status_code = 403
+        # Just assert that we continue running here and do not raise anything.
+        with unittest.mock.patch("requests.post", return_value=return_value) as _:
+            metrics.upload_metrics(test_metrics, "test_userid", "test_api_key")
+
+
+if __name__ == "__main__":
+    unittest.main()