44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
"""Tests for dashboard.openstack_utils.audits."""
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from django.test import TestCase
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from dashboard.openstack_utils.audits import convert_cpu_data
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class ConvertCpuDataTest(TestCase):
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"""Tests for convert_cpu_data."""
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def test_aggregates_cpu_usage_per_host(self):
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data = [
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{
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"metric": {"host": "compute-0", "instanceName": "inst1"},
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"values": [[1000, "10.0"], [1001, "20.0"]],
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},
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{
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"metric": {"host": "compute-0", "instanceName": "inst2"},
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"values": [[1000, "5.0"]],
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},
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{
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"metric": {"host": "compute-1", "instanceName": "inst3"},
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"values": [[1000, "30.0"]],
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},
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]
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result = convert_cpu_data(data)
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self.assertIn("host", result.columns)
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self.assertIn("cpu_usage", result.columns)
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hosts = result["host"].tolist()
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self.assertEqual(len(hosts), 2)
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self.assertIn("compute-0", hosts)
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self.assertIn("compute-1", hosts)
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# compute-0: (10+20)/2 for ts 1000 and 5 for ts 1000 -> groupby host,timestamp sum -> then groupby host mean
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# For compute-0: two timestamps 1000 (10+5=15) and 1001 (20). Mean over timestamps = (15+20)/2 = 17.5
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# For compute-1: one value 30
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by_host = result.set_index("host")["cpu_usage"]
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self.assertAlmostEqual(by_host["compute-0"], 17.5)
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self.assertAlmostEqual(by_host["compute-1"], 30.0)
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def test_empty_data_returns_empty_dataframe_with_columns(self):
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result = convert_cpu_data([])
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self.assertIn("host", result.columns)
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self.assertIn("cpu_usage", result.columns)
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self.assertEqual(len(result), 0)
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