Files
cc-backend/pkg/metricstore/metricstore_test.go

251 lines
7.3 KiB
Go

// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved. This file is part of cc-backend.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package metricstore
import (
"testing"
"time"
"github.com/ClusterCockpit/cc-lib/v2/schema"
)
func TestAssignAggregationStrategy(t *testing.T) {
tests := []struct {
name string
input string
expected AggregationStrategy
wantErr bool
}{
{"empty string", "", NoAggregation, false},
{"sum", "sum", SumAggregation, false},
{"avg", "avg", AvgAggregation, false},
{"invalid", "invalid", NoAggregation, true},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
result, err := AssignAggregationStrategy(tt.input)
if (err != nil) != tt.wantErr {
t.Errorf("AssignAggregationStrategy(%q) error = %v, wantErr %v", tt.input, err, tt.wantErr)
return
}
if result != tt.expected {
t.Errorf("AssignAggregationStrategy(%q) = %v, want %v", tt.input, result, tt.expected)
}
})
}
}
func TestBufferWrite(t *testing.T) {
b := newBuffer(100, 10)
// Test writing value
nb, err := b.write(100, schema.Float(42.0))
if err != nil {
t.Errorf("buffer.write() error = %v", err)
}
if nb != b {
t.Error("buffer.write() created new buffer unexpectedly")
}
if len(b.data) != 1 {
t.Errorf("buffer.write() len(data) = %d, want 1", len(b.data))
}
if b.data[0] != schema.Float(42.0) {
t.Errorf("buffer.write() data[0] = %v, want 42.0", b.data[0])
}
// Test writing value from past (should error)
_, err = b.write(50, schema.Float(10.0))
if err == nil {
t.Error("buffer.write() expected error for past timestamp")
}
}
func TestBufferRead(t *testing.T) {
b := newBuffer(100, 10)
// Write some test data
b.write(100, schema.Float(1.0))
b.write(110, schema.Float(2.0))
b.write(120, schema.Float(3.0))
// Read data
data := make([]schema.Float, 3)
result, from, to, err := b.read(100, 130, data)
if err != nil {
t.Errorf("buffer.read() error = %v", err)
}
// Buffer read should return from as firstWrite (start + freq/2)
if from != 100 {
t.Errorf("buffer.read() from = %d, want 100", from)
}
if to != 130 {
t.Errorf("buffer.read() to = %d, want 130", to)
}
if len(result) != 3 {
t.Errorf("buffer.read() len(result) = %d, want 3", len(result))
}
}
func TestHealthCheckAlt(t *testing.T) {
// Create a test MemoryStore with some metrics
metrics := map[string]MetricConfig{
"load": {Frequency: 10, Aggregation: AvgAggregation, offset: 0},
"mem_used": {Frequency: 10, Aggregation: AvgAggregation, offset: 1},
"cpu_user": {Frequency: 10, Aggregation: AvgAggregation, offset: 2},
"cpu_system": {Frequency: 10, Aggregation: AvgAggregation, offset: 3},
}
ms := &MemoryStore{
Metrics: metrics,
root: Level{
metrics: make([]*buffer, len(metrics)),
children: make(map[string]*Level),
},
}
// Use recent timestamps (current time minus a small offset)
now := time.Now().Unix()
startTime := now - 100 // Start 100 seconds ago to have enough data points
// Setup test data for node001 - all metrics healthy
node001 := ms.root.findLevelOrCreate([]string{"testcluster", "node001"}, len(metrics))
for i := 0; i < len(metrics); i++ {
node001.metrics[i] = newBuffer(startTime, 10)
// Write recent data with no NaN values
for ts := startTime; ts <= now; ts += 10 {
node001.metrics[i].write(ts, schema.Float(float64(i+1)))
}
}
// Setup test data for node002 - some metrics degraded (many NaN values)
node002 := ms.root.findLevelOrCreate([]string{"testcluster", "node002"}, len(metrics))
for i := 0; i < len(metrics); i++ {
node002.metrics[i] = newBuffer(startTime, 10)
if i < 2 {
// First two metrics: healthy (no NaN)
for ts := startTime; ts <= now; ts += 10 {
node002.metrics[i].write(ts, schema.Float(float64(i+1)))
}
} else {
// Last two metrics: degraded (many NaN values in recent data)
// Write real values first, then NaN values at the end
count := 0
for ts := startTime; ts <= now; ts += 10 {
if count < 5 {
// Write first 5 real values
node002.metrics[i].write(ts, schema.Float(float64(i+1)))
} else {
// Write NaN for the rest (last ~6 values will be NaN)
node002.metrics[i].write(ts, schema.NaN)
}
count++
}
}
}
// Setup test data for node003 - some metrics missing (no buffer)
node003 := ms.root.findLevelOrCreate([]string{"testcluster", "node003"}, len(metrics))
// Only create buffers for first two metrics
for i := 0; i < 2; i++ {
node003.metrics[i] = newBuffer(startTime, 10)
for ts := startTime; ts <= now; ts += 10 {
node003.metrics[i].write(ts, schema.Float(float64(i+1)))
}
}
// Leave metrics[2] and metrics[3] as nil (missing)
// node004 doesn't exist at all
tests := []struct {
name string
cluster string
nodes []string
expectedMetrics []string
wantStates map[string]schema.MonitoringState
}{
{
name: "all metrics healthy",
cluster: "testcluster",
nodes: []string{"node001"},
expectedMetrics: []string{"load", "mem_used", "cpu_user", "cpu_system"},
wantStates: map[string]schema.MonitoringState{
"node001": schema.MonitoringStateFull,
},
},
{
name: "some metrics degraded",
cluster: "testcluster",
nodes: []string{"node002"},
expectedMetrics: []string{"load", "mem_used", "cpu_user", "cpu_system"},
wantStates: map[string]schema.MonitoringState{
"node002": schema.MonitoringStatePartial,
},
},
{
name: "some metrics missing",
cluster: "testcluster",
nodes: []string{"node003"},
expectedMetrics: []string{"load", "mem_used", "cpu_user", "cpu_system"},
wantStates: map[string]schema.MonitoringState{
"node003": schema.MonitoringStatePartial,
},
},
{
name: "node not found",
cluster: "testcluster",
nodes: []string{"node004"},
expectedMetrics: []string{"load", "mem_used", "cpu_user", "cpu_system"},
wantStates: map[string]schema.MonitoringState{
"node004": schema.MonitoringStateFailed,
},
},
{
name: "multiple nodes mixed states",
cluster: "testcluster",
nodes: []string{"node001", "node002", "node003", "node004"},
expectedMetrics: []string{"load", "mem_used"},
wantStates: map[string]schema.MonitoringState{
"node001": schema.MonitoringStateFull,
"node002": schema.MonitoringStateFull,
"node003": schema.MonitoringStateFull,
"node004": schema.MonitoringStateFailed,
},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
results, err := ms.HealthCheckAlt(tt.cluster, tt.nodes, tt.expectedMetrics)
if err != nil {
t.Errorf("HealthCheckAlt() error = %v", err)
return
}
// Check that we got results for all nodes
if len(results) != len(tt.nodes) {
t.Errorf("HealthCheckAlt() returned %d results, want %d", len(results), len(tt.nodes))
}
// Check each node's state
for _, node := range tt.nodes {
state, ok := results[node]
if !ok {
t.Errorf("HealthCheckAlt() missing result for node %s", node)
continue
}
// Check status
if wantStatus, ok := tt.wantStates[node]; ok {
if state != wantStatus {
t.Errorf("HealthCheckAlt() node %s status = %v, want %v", node, state, wantStatus)
}
}
}
})
}
}