[CI] Add unittesting for metrics collection script

.ci/metrics/metrics_test.py

@@ -0,0 +1,75 @@
+# 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 that we can upload a gauge metric correctly.
+
+        Also verify that we pass around parameters like API keys and user IDs
+        correctly to the HTTP POST request.
+        """
+        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 that we can upload a job metric correctly."""
+        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):
+        """Test we report an error if we encounter an unknown metric type."""
+
+        @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 that we gracefully handle HTTP response errors."""
+        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()

.github/workflows/check-ci.yml

@@ -31,6 +31,7 @@ jobs:
       - name: Install Python Dependencies
         run: |
           pip3 install -r .ci/all_requirements.txt
+          pip3 install -r .ci/metrics/requirements.lock.txt
           pip3 install pytest==8.4.1
       - name: Run Tests
         working-directory: .ci