Skip to content

[CI] Add unittesting for metrics collection script #150360

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
66 changes: 66 additions & 0 deletions .ci/metrics/metrics_test.py
Original file line number Diff line number Diff line change
@@ -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()