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[Misc] added unit tests for apa autoscaling #1577
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Original file line number | Diff line number | Diff line change |
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/* | ||
Copyright 2024 The Aibrix Team. | ||
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Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
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http://www.apache.org/licenses/LICENSE-2.0 | ||
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Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
*/ | ||
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package algorithm | ||
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import ( | ||
"testing" | ||
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"github.com/vllm-project/aibrix/pkg/controller/podautoscaler/common" | ||
) | ||
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func TestApaScalingAlgorithm_ComputeTargetReplicas(t *testing.T) { | ||
algorithm := &ApaScalingAlgorithm{} | ||
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tests := []struct { | ||
name string | ||
currentPodCount float64 | ||
context *common.MockScalingContext | ||
expected int32 | ||
description string | ||
}{ | ||
{ | ||
name: "no_scaling_within_tolerance", | ||
currentPodCount: 3.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 50.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 2.0, // Can scale up by 100% | ||
MaxScaleDownRate: 2.0, // Can scale down by 50% | ||
CurrentUsePerPod: 50.0, // Exactly at target | ||
MinReplicas: 1, | ||
MaxReplicas: 10, | ||
}, | ||
expected: 3, | ||
description: "Should not scale when current use per pod equals target value", | ||
}, | ||
{ | ||
name: "no_scaling_within_up_tolerance", | ||
currentPodCount: 3.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 50.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 2.0, | ||
MaxScaleDownRate: 2.0, | ||
CurrentUsePerPod: 54.0, // 54/50 = 1.08, within 1+0.1=1.1 tolerance | ||
MinReplicas: 1, | ||
MaxReplicas: 10, | ||
}, | ||
expected: 3, | ||
description: "Should not scale when within up tolerance (8% above target)", | ||
}, | ||
{ | ||
name: "no_scaling_within_down_tolerance", | ||
currentPodCount: 3.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 50.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 2.0, | ||
MaxScaleDownRate: 2.0, | ||
CurrentUsePerPod: 42.0, // 42/50 = 0.84, within 1-0.2=0.8 tolerance | ||
MinReplicas: 1, | ||
MaxReplicas: 10, | ||
}, | ||
expected: 3, | ||
description: "Should not scale when within down tolerance (16% below target)", | ||
}, | ||
{ | ||
name: "scale_up_beyond_tolerance", | ||
currentPodCount: 3.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 50.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 2.0, // Can scale up by 100% | ||
MaxScaleDownRate: 2.0, | ||
CurrentUsePerPod: 60.0, // 60/50 = 1.2, exceeds 1+0.1=1.1 tolerance | ||
MinReplicas: 1, | ||
MaxReplicas: 10, | ||
}, | ||
expected: 4, // ceil(3 * (60/50)) = ceil(3.6) = 4 | ||
description: "Should scale up when current use exceeds up tolerance threshold", | ||
}, | ||
{ | ||
name: "scale_down_beyond_tolerance", | ||
currentPodCount: 5.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 50.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 2.0, | ||
MaxScaleDownRate: 2.0, // Can scale down by 50% | ||
CurrentUsePerPod: 30.0, // 30/50 = 0.6, below 1-0.2=0.8 tolerance | ||
MinReplicas: 1, | ||
MaxReplicas: 10, | ||
}, | ||
expected: 3, // ceil(5 * (30/50)) = ceil(3.0) = 3 | ||
description: "Should scale down when current use falls below down tolerance threshold", | ||
}, | ||
{ | ||
name: "scale_up_limited_by_max_scale_up_rate", | ||
currentPodCount: 3.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 50.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 1.5, // Can only scale up by 50% | ||
MaxScaleDownRate: 2.0, | ||
CurrentUsePerPod: 100.0, // 100/50 = 2.0, would need 6 pods but limited | ||
MinReplicas: 1, | ||
MaxReplicas: 10, | ||
}, | ||
expected: 5, // ceil(1.5 * 3) = ceil(4.5) = 5 (limited by max scale up rate) | ||
description: "Should be limited by max scale up rate", | ||
}, | ||
{ | ||
name: "scale_down_limited_by_max_scale_down_rate", | ||
currentPodCount: 6.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 50.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 2.0, | ||
MaxScaleDownRate: 3.0, // Can scale down to 1/3 = 33% of current (6/3=2 minimum) | ||
CurrentUsePerPod: 10.0, // 10/50 = 0.2, would need 1.2 pods but limited | ||
MinReplicas: 1, | ||
MaxReplicas: 10, | ||
}, | ||
expected: 2, // floor(6/3) = floor(2) = 2 | ||
description: "Should be limited by max scale down rate", | ||
}, | ||
{ | ||
name: "extreme_scale_up_case", | ||
currentPodCount: 2.0, | ||
context: &common.MockScalingContext{ | ||
TargetValue: 10.0, | ||
UpFluctuationTolerance: 0.1, // 10% tolerance | ||
DownFluctuationTolerance: 0.2, // 20% tolerance | ||
MaxScaleUpRate: 3.0, // Can scale up by 200% | ||
MaxScaleDownRate: 2.0, | ||
CurrentUsePerPod: 50.0, // 50/10 = 5.0, would need 10 pods | ||
MinReplicas: 1, | ||
MaxReplicas: 20, | ||
}, | ||
expected: 6, // ceil(3.0 * 2) = 6 (limited by max scale up rate) | ||
description: "Should handle extreme scale up scenarios with rate limiting", | ||
}, | ||
} | ||
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for _, tt := range tests { | ||
t.Run(tt.name, func(t *testing.T) { | ||
result := algorithm.ComputeTargetReplicas(tt.currentPodCount, tt.context) | ||
if result != tt.expected { | ||
t.Errorf("ComputeTargetReplicas() = %d, expected %d. %s", result, tt.expected, tt.description) | ||
t.Logf("Current pod count: %.1f", tt.currentPodCount) | ||
t.Logf("Current use per pod: %.1f", tt.context.CurrentUsePerPod) | ||
t.Logf("Target value: %.1f", tt.context.TargetValue) | ||
t.Logf("Up tolerance: %.3f", tt.context.UpFluctuationTolerance) | ||
t.Logf("Down tolerance: %.3f", tt.context.DownFluctuationTolerance) | ||
t.Logf("Ratio (current/expected): %.6f", tt.context.CurrentUsePerPod/tt.context.TargetValue) | ||
t.Logf("Up threshold: %.6f", 1+tt.context.UpFluctuationTolerance) | ||
t.Logf("Down threshold: %.6f", 1-tt.context.DownFluctuationTolerance) | ||
} | ||
}) | ||
} | ||
} |
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