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Signed-off-by: Avik Basu <ab93@users.noreply.github.com>
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import logging | ||
import unittest | ||
from datetime import datetime, timedelta | ||
from unittest.mock import patch, Mock, MagicMock | ||
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from orjson import orjson | ||
from requests import Response | ||
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from numalogic.connectors import PrometheusFetcher | ||
from numalogic.tools.exceptions import PrometheusFetcherError, PrometheusInvalidResponseError | ||
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logging.basicConfig(level=logging.DEBUG) | ||
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def _mock_response(): | ||
response = MagicMock() | ||
response.status_code = 200 | ||
response.text = orjson.dumps( | ||
{ | ||
"status": "success", | ||
"data": { | ||
"resultType": "vector", | ||
"result": [ | ||
{ | ||
"metric": { | ||
"__name__": "namespace_asset_pod_cpu_utilization", | ||
"numalogic": "true", | ||
"namespace": "sandbox-numalogic-demo", | ||
}, | ||
"values": [ | ||
[1656334767.73, "14.744611739611193"], | ||
[1656334797.73, "14.73040822323633"], | ||
], | ||
} | ||
], | ||
}, | ||
} | ||
) | ||
return response | ||
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def _mock_query_range(): | ||
return [ | ||
{ | ||
"metric": { | ||
"__name__": "namespace_asset_pod_cpu_utilization", | ||
"assetAlias": "sandbox.numalogic.demo", | ||
"numalogic": "true", | ||
"namespace": "sandbox-numalogic-demo", | ||
}, | ||
"values": [[1656334767.73, "14.744611739611193"], [1656334797.73, "14.73040822323633"]], | ||
} | ||
] | ||
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def _mock_w_return_labels(): | ||
return [ | ||
{ | ||
"metric": { | ||
"__name__": "namespace_app_rollouts_http_request_error_rate", | ||
"assetAlias": "sandbox.numalogic.demo", | ||
"numalogic": "true", | ||
"namespace": "sandbox-numalogic-demo", | ||
"rollouts_pod_template_hash": "7b4b4f9f9d", | ||
}, | ||
"values": [[1656334767.73, "10.0"], [1656334797.73, "12.0"]], | ||
}, | ||
{ | ||
"metric": { | ||
"__name__": "namespace_app_rollouts_http_request_error_rate", | ||
"assetAlias": "sandbox.numalogic.demo", | ||
"numalogic": "true", | ||
"namespace": "sandbox-numalogic-demo", | ||
"rollouts_pod_template_hash": "5b4b4f9f9d", | ||
}, | ||
"values": [[1656334767.73, "11.0"], [1656334797.73, "13.0"]], | ||
}, | ||
] | ||
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class TestPrometheusFetcher(unittest.TestCase): | ||
def setUp(self) -> None: | ||
self.fetcher = PrometheusFetcher(prometheus_server="http://localhost:9090") | ||
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@patch("requests.get", Mock(return_value=_mock_response())) | ||
def test_fetch(self): | ||
df = self.fetcher.fetch( | ||
metric_name="namespace_asset_pod_cpu_utilization", | ||
start=datetime.now() - timedelta(hours=1), | ||
filters={"namespace": "sandbox-numalogic-demo"}, | ||
) | ||
self.assertEqual(df.shape, (2, 2)) | ||
self.assertListEqual( | ||
df.columns.to_list(), ["timestamp", "namespace_asset_pod_cpu_utilization"] | ||
) | ||
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@patch.object(PrometheusFetcher, "_api_query_range", Mock(return_value=_mock_w_return_labels())) | ||
def test_fetch_return_labels(self): | ||
metric = "namespace_app_rollouts_http_request_error_rate" | ||
df = self.fetcher.fetch( | ||
metric_name=metric, | ||
start=datetime.now() - timedelta(hours=1), | ||
filters={"namespace": "sandbox-numalogic-demo"}, | ||
return_labels=["rollouts_pod_template_hash"], | ||
aggregate=True, | ||
) | ||
self.assertEqual(df.shape, (2, 2)) | ||
self.assertListEqual(df.columns.to_list(), ["timestamp", metric]) | ||
self.assertListEqual([10.5, 12.5], df[metric].to_list()) | ||
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@patch.object(PrometheusFetcher, "_api_query_range", Mock(return_value=[])) | ||
def test_fetch_no_data(self): | ||
df = self.fetcher.fetch( | ||
metric_name="namespace_asset_pod_cpu_utilization", | ||
start=datetime.now() - timedelta(hours=1), | ||
filters={"namespace": "sandbox-numalogic-demo"}, | ||
) | ||
self.assertTrue(df.empty) | ||
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@patch("requests.get", Mock(side_effect=Exception("Test exception"))) | ||
def test_fetch_url_err(self): | ||
with self.assertRaises(PrometheusFetcherError): | ||
self.fetcher.fetch( | ||
metric_name="namespace_asset_pod_cpu_utilization", | ||
start=datetime.now() - timedelta(hours=1), | ||
filters={"namespace": "sandbox-numalogic-demo"}, | ||
) | ||
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@patch("requests.get", Mock(return_value=Response())) | ||
def test_fetch_response_err(self): | ||
with self.assertRaises(PrometheusInvalidResponseError): | ||
self.fetcher.fetch( | ||
metric_name="namespace_asset_pod_cpu_utilization", | ||
start=datetime.now() - timedelta(hours=1), | ||
filters={"namespace": "sandbox-numalogic-demo"}, | ||
) | ||
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@patch.object(PrometheusFetcher, "_api_query_range", Mock(return_value=_mock_query_range())) | ||
def test_fetch_raw(self): | ||
df = self.fetcher.raw_fetch( | ||
query='namespace_asset_pod_cpu_utilization{namespace="sandbox-numalogic-demo"}', | ||
start=datetime.now() - timedelta(hours=1), | ||
) | ||
self.assertEqual(df.shape, (2, 2)) | ||
self.assertListEqual( | ||
df.columns.to_list(), ["timestamp", "namespace_asset_pod_cpu_utilization"] | ||
) | ||
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@patch.object(PrometheusFetcher, "_api_query_range", Mock(return_value=_mock_w_return_labels())) | ||
def test_fetch_raw_return_labels(self): | ||
metric = "namespace_app_rollouts_http_request_error_rate" | ||
df = self.fetcher.raw_fetch( | ||
query="namespace_app_rollouts_http_request_error_rate{namespace='sandbox-numalogic-demo'}", | ||
start=datetime.now() - timedelta(hours=1), | ||
return_labels=["rollouts_pod_template_hash"], | ||
aggregate=True, | ||
) | ||
self.assertEqual(df.shape, (2, 2)) | ||
self.assertListEqual(df.columns.to_list(), ["timestamp", metric]) | ||
self.assertListEqual([10.5, 12.5], df[metric].to_list()) | ||
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@patch.object(PrometheusFetcher, "_api_query_range", Mock(return_value=[])) | ||
def test_fetch_raw_no_data(self): | ||
df = self.fetcher.raw_fetch( | ||
query='namespace_asset_pod_cpu_utilization{namespace="sandbox-numalogic-demo"}', | ||
start=datetime.now() - timedelta(hours=1), | ||
) | ||
self.assertTrue(df.empty) | ||
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def test_start_end_err(self): | ||
with self.assertRaises(ValueError): | ||
self.fetcher.fetch( | ||
metric_name="namespace_asset_pod_cpu_utilization", | ||
start=datetime.now() - timedelta(hours=1), | ||
end=datetime.now() - timedelta(hours=2), | ||
) | ||
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if __name__ == "__main__": | ||
unittest.main() |