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pillar/watcher: Add unit tests for goroutine leak detection.
Introduce a suite of tests to verify the functionality of the goroutine leak detection system, simulating various scenarios to ensure robust leak identification. Growth scenarios: Test scenarios for initial goroutine growth with stabilization, sudden spikes, and decreases after spikes to validate that these typical patterns do not trigger false positives. Leak scenario: Include tests where the goroutine count gradually increases, simulating a leak. The test verifies that the detector correctly identifies this pattern as a leak. Monitoring tests: Implement tests for the `goroutinesMonitor` function to check detection behavior at regular intervals. Edge cases for the helper function: Add tests to handle empty data inputs, minimal data length, and cases where the moving average window exceeds data length, ensuring resilience against edge cases. Signed-off-by: Nikolay Martyanov <nikolay@zededa.com>
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// Copyright (c) 2024 Zededa, Inc. | ||
// SPDX-License-Identifier: Apache-2.0 | ||
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package watcher | ||
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import ( | ||
"github.com/lf-edge/eve/pkg/pillar/agentlog" | ||
"io" | ||
"math" | ||
"os" | ||
"reflect" | ||
"strings" | ||
"sync" | ||
"testing" | ||
"time" | ||
) | ||
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// Scenario 1: Initial growth that slows down and then stabilizes | ||
func emulateSystemStart(startDuration, stabilizationDuration int) []int { | ||
totalDuration := startDuration + stabilizationDuration | ||
data := make([]int, startDuration) | ||
baseGoroutines := 0 | ||
for i := 0; i < startDuration; i++ { | ||
// Simulate fast growth that slows down | ||
growth := int(500 * (1 - math.Exp(-float64(i)/10))) // Exponential decay | ||
data[i] = baseGoroutines + growth | ||
} | ||
// Stabilize after growth | ||
stableGoroutines := data[len(data)-1] | ||
for i := startDuration; i < totalDuration; i++ { | ||
data = append(data, stableGoroutines) | ||
} | ||
return data | ||
} | ||
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// Scenario 2: Stabilization, then a process creates a lot of goroutines quickly, which then stabilizes | ||
func emulateSpikeAfterSystemStart(startDuration, stabilizationDuration, spikeDuration int) []int { | ||
data := emulateSystemStart(startDuration, stabilizationDuration) | ||
totalStartDuration := len(data) | ||
baseGoroutines := data[len(data)-1] | ||
for i := totalStartDuration; i < totalStartDuration+spikeDuration; i++ { | ||
growth := int(100 * (1 - math.Exp(-float64(i-startDuration)/5))) // Quick spike | ||
data = append(data, baseGoroutines+growth) | ||
} | ||
// Stabilize after spike | ||
stableGoroutines := data[len(data)-1] | ||
for i := totalStartDuration + spikeDuration; i < totalStartDuration+spikeDuration+stabilizationDuration; i++ { | ||
data = append(data, stableGoroutines) | ||
} | ||
return data | ||
} | ||
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// Scenario 3: After the spike, goroutine count decreases | ||
func emulateDecreaseAfterSpike(decreaseDuration, spikeDuration, stabilizationDuration, startDuration int) []int { | ||
data := emulateSpikeAfterSystemStart(startDuration, stabilizationDuration, spikeDuration) | ||
decreaseStart := len(data) | ||
baseGoroutines := data[decreaseStart-1] | ||
for i := 0; i < decreaseDuration; i++ { | ||
decrease := int(float64(baseGoroutines) * (1 - float64(i)/float64(decreaseDuration))) | ||
data = append(data, decrease) | ||
} | ||
return data | ||
} | ||
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// Scenario 4: After the spike, goroutine count starts to slowly increase over time | ||
func emulateLeakAfterSpike(leakDuration, stabilizationDuration, spikeDuration, startDuration int) []int { | ||
data := emulateSpikeAfterSystemStart(startDuration, stabilizationDuration, spikeDuration) | ||
increaseStart := len(data) | ||
baseGoroutines := data[increaseStart-1] | ||
for i := increaseStart; i < increaseStart+leakDuration; i++ { | ||
// Slow linear increase | ||
growth := baseGoroutines + (i-increaseStart)*5 | ||
data = append(data, growth) | ||
} | ||
return data | ||
} | ||
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func TestMain(m *testing.M) { | ||
logger, log = agentlog.Init("watcher") | ||
os.Exit(m.Run()) | ||
} | ||
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// Computes moving average correctly for valid data and window size | ||
func TestMovingAverageValidData(t *testing.T) { | ||
data := []int{1, 2, 3, 4, 5} | ||
windowSize := 3 | ||
expected := []float64{2.0, 3.0, 4.0} | ||
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result := movingAverage(data, windowSize) | ||
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if !reflect.DeepEqual(result, expected) { | ||
t.Errorf("Expected %v, got %v", expected, result) | ||
} | ||
} | ||
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// Handles window size equal to data length by returning a single average | ||
func TestMovingAverageWindowSizeEqualDataLength(t *testing.T) { | ||
data := []int{1, 2, 3, 4, 5} | ||
windowSize := 5 | ||
expected := []float64{3.0} | ||
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result := movingAverage(data, windowSize) | ||
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if !reflect.DeepEqual(result, expected) { | ||
t.Errorf("Expected %v, got %v", expected, result) | ||
} | ||
} | ||
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// Handles empty data array gracefully | ||
func TestMovingAverageEmptyData(t *testing.T) { | ||
data := []int{} | ||
windowSize := 3 | ||
var expected []float64 | ||
expected = nil | ||
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result := movingAverage(data, windowSize) | ||
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if !reflect.DeepEqual(result, expected) { | ||
t.Errorf("Expected %v (type %T), got %v (type %T)", expected, expected, result, result) | ||
} | ||
} | ||
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// Manages window size of zero by defaulting to 1 | ||
func TestMovingAverageWindowSizeZero(t *testing.T) { | ||
data := []int{1, 2, 3, 4, 5} | ||
windowSize := 0 | ||
expected := []float64{1.0, 2.0, 3.0, 4.0, 5.0} | ||
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result := movingAverage(data, windowSize) | ||
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if !reflect.DeepEqual(result, expected) { | ||
t.Errorf("Expected %v, got %v", expected, result) | ||
} | ||
} | ||
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// Deals with window size larger than data length by defaulting to data length | ||
func TestMovingAverageWindowSizeLargerThanDataLength(t *testing.T) { | ||
data := []int{1, 2, 3} | ||
windowSize := 5 | ||
expected := []float64{2.0} | ||
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result := movingAverage(data, windowSize) | ||
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if !reflect.DeepEqual(result, expected) { | ||
t.Errorf("Expected %v, got %v", expected, result) | ||
} | ||
} | ||
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func TestGoroutineLeakDetectorWithSystemStart(t *testing.T) { | ||
stats := emulateSystemStart(5, 5) | ||
detected, _ := detectGoroutineLeaks(stats) | ||
if detected { | ||
t.Errorf("Expected no goroutine leak, but detected one") | ||
} | ||
} | ||
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func TestGoroutineLeakDetectorWithLegitSpike(t *testing.T) { | ||
stats := emulateSpikeAfterSystemStart(5, 5, 20) | ||
detected, _ := detectGoroutineLeaks(stats) | ||
if detected { | ||
t.Errorf("Expected no goroutine leak, but detected one") | ||
} | ||
} | ||
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func TestGoroutineLeakDetectorWithDecreaseAfterSpike(t *testing.T) { | ||
stats := emulateDecreaseAfterSpike(10, 20, 5, 5) | ||
detected, _ := detectGoroutineLeaks(stats) | ||
if detected { | ||
t.Errorf("Expected no goroutine leak, but detected one") | ||
} | ||
} | ||
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func TestGoroutineLeakDetectorWithLeakAfterSpike(t *testing.T) { | ||
stats := emulateLeakAfterSpike(100, 5, 20, 5) | ||
detected, _ := detectGoroutineLeaks(stats) | ||
if !detected { | ||
t.Errorf("Expected goroutine leak to be detected, but it was not") | ||
} | ||
} | ||
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func TestGoroutineLeakDetectorWithLeakEachStep(t *testing.T) { | ||
startDuration := 5 | ||
stabilizationDuration := 5 | ||
spikeDuration := 20 | ||
leakDuration := 100 | ||
leakMayBeDetectedAfter := startDuration + stabilizationDuration + spikeDuration + stabilizationDuration | ||
possibleFalsePositives := 60 | ||
leakMustBeDetectedAfter := leakMayBeDetectedAfter + possibleFalsePositives | ||
stats := emulateLeakAfterSpike(leakDuration, stabilizationDuration, spikeDuration, startDuration) | ||
// Now check the behavior of detector on each new data point | ||
for i := 0; i < len(stats); i++ { | ||
detected, _ := detectGoroutineLeaks(stats[:i]) | ||
// Leak should be detected after the slow increase starts | ||
if detected && i < startDuration+stabilizationDuration+spikeDuration+stabilizationDuration { | ||
t.Errorf("Expected no goroutine leak, but detected one at step %d", i) | ||
} | ||
if !detected && i >= leakMayBeDetectedAfter && i < leakMustBeDetectedAfter { | ||
t.Logf("Expected goroutine leak to be detected, but it was not at step %d", i) | ||
} | ||
if !detected && i >= leakMustBeDetectedAfter { | ||
t.Errorf("Expected goroutine leak to be detected, but it was not at step %d", i) | ||
} | ||
} | ||
} | ||
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// Handles empty input data gracefully | ||
func TestEmptyInputData(t *testing.T) { | ||
stats := []int{} | ||
detected, smoothedData := detectGoroutineLeaks(stats) | ||
if detected || smoothedData != nil { | ||
t.Errorf("Expected no detection and nil smoothed data for empty input") | ||
} | ||
} | ||
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// Handles input data with fewer than two elements | ||
func TestInputDataWithFewerThanTwoElements(t *testing.T) { | ||
stats := []int{5} | ||
detected, smoothedData := detectGoroutineLeaks(stats) | ||
if detected || len(smoothedData) != 0 { | ||
t.Errorf("Expected no detection and empty smoothed data for input with fewer than two elements") | ||
} | ||
} | ||
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// Handles window size larger than data length | ||
func TestWindowSizeLargerThanDataLength(t *testing.T) { | ||
stats := []int{1, 2} | ||
windowSize := len(stats) + 1 | ||
smoothedData := movingAverage(stats, windowSize) | ||
if len(smoothedData) != 1 { | ||
t.Errorf("Expected smoothed data length of 1 when window size is larger than data length") | ||
} | ||
} | ||
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// Monitors goroutine count at regular intervals | ||
func TestGoroutinesMonitorNoLeak(t *testing.T) { | ||
keepStatsFor := 24 * 60 * time.Millisecond | ||
goroutinesThreshold := 100 | ||
checkInterval := 1 * time.Millisecond | ||
checkStatsFor := 60 * time.Millisecond | ||
cooldownPeriod := 10 * time.Millisecond | ||
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backupOut := logger.Out | ||
// Create a pipe to capture log output | ||
r, w, _ := os.Pipe() | ||
logger.Out = w | ||
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go func() { | ||
goroutinesMonitor(goroutinesThreshold, checkInterval, checkStatsFor, keepStatsFor, cooldownPeriod) | ||
}() | ||
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var wg sync.WaitGroup | ||
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wg.Add(1) | ||
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// Create a goroutine to simulate the creation of goroutines | ||
go func() { | ||
timeStart := time.Now() | ||
for { | ||
if time.Since(timeStart) > 2*keepStatsFor { | ||
break | ||
} | ||
// Create a goroutine | ||
go func() { | ||
time.Sleep(checkInterval / 2) | ||
}() | ||
time.Sleep(2 * checkInterval) | ||
} | ||
wg.Done() | ||
}() | ||
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wg.Wait() | ||
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// Close the pipe | ||
w.Close() | ||
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// Read the log output | ||
output, _ := io.ReadAll(r) | ||
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// Check if the log output does not contain the detection message | ||
// If it does, it means that the goroutine leak was detected | ||
if strings.Contains(string(output), "leak detected") { | ||
t.Errorf("Expected no goroutine leak to be detected") | ||
} | ||
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logger.Out = backupOut | ||
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} | ||
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func TestGoroutinesMonitorLeak(t *testing.T) { | ||
keepStatsFor := 24 * 60 * time.Millisecond | ||
goroutinesThreshold := 100 | ||
checkInterval := 1 * time.Millisecond | ||
checkStatsFor := 60 * time.Millisecond | ||
cooldownPeriod := 10 * time.Millisecond | ||
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backupOut := logger.Out | ||
// Create a pipe to capture log output | ||
r, w, _ := os.Pipe() | ||
logger.Out = w | ||
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go func() { | ||
goroutinesMonitor(goroutinesThreshold, checkInterval, checkStatsFor, keepStatsFor, cooldownPeriod) | ||
}() | ||
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var wg sync.WaitGroup | ||
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wg.Add(1) | ||
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// Create a goroutine to simulate the creation of goroutines | ||
go func() { | ||
timeStart := time.Now() | ||
for { | ||
if time.Since(timeStart) > 2*keepStatsFor { | ||
break | ||
} | ||
// Create a goroutine | ||
go func() { | ||
time.Sleep(checkInterval * 100) | ||
}() | ||
time.Sleep(checkInterval / 2) | ||
} | ||
wg.Done() | ||
}() | ||
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wg.Wait() | ||
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// Close the pipe | ||
_ = w.Close() | ||
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logger.Out = backupOut | ||
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// Read the log output | ||
output, _ := io.ReadAll(r) | ||
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// Check if the log output contains the expected message | ||
if !strings.Contains(string(output), "leak detected") { | ||
t.Errorf("Expected log output to contain 'leak detected'") | ||
} | ||
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} |