mirror of
https://github.com/andwati/telecom-platform.git
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- Add SelectionAlgorithm with scoring, weighting, and ML-based carrier selection - Add SelectionCriteria struct with region, profile type, urgency, and cost/performance weights - Add CarrierScore with performance, reliability, cost, region, and capability scores - Add calculateWeightedScore combining all scores with ML-optimized weights - Add getWeights with urgency-based adjustments
167 lines
4.5 KiB
Go
167 lines
4.5 KiB
Go
package smdp
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import (
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"context"
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"testing"
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)
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// TestEdgeCases tests edge cases and boundary conditions
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func TestEdgeCases(t *testing.T) {
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selector := NewSelectionAlgorithm()
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// Test empty carrier list
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t.Run("EmptyCarrierList", func(t *testing.T) {
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criteria := &SelectionCriteria{
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Region: "US",
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ProfileType: "operational",
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Urgency: "medium",
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CostSensitivity: 0.5,
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PerformanceWeight: 0.4,
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ReliabilityWeight: 0.4,
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}
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_, err := selector.SelectOptimalCarrier(context.Background(), []*Carrier{}, criteria)
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if err == nil {
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t.Error("Expected error for empty carrier list")
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}
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})
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// Test all unhealthy carriers
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t.Run("AllUnhealthyCarriers", func(t *testing.T) {
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unhealthyCarriers := []*Carrier{
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createUnhealthyCarrier("broken1", "Broken 1", "US"),
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createUnhealthyCarrier("broken2", "Broken 2", "US"),
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}
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criteria := &SelectionCriteria{
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Region: "US",
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ProfileType: "operational",
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Urgency: "medium",
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CostSensitivity: 0.5,
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PerformanceWeight: 0.4,
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ReliabilityWeight: 0.4,
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}
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_, err := selector.SelectOptimalCarrier(context.Background(), unhealthyCarriers, criteria)
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if err == nil {
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t.Error("Expected error when all carriers are unhealthy")
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}
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})
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// Test inactive carriers
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t.Run("InactiveCarriers", func(t *testing.T) {
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inactiveCarriers := []*Carrier{
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createInactiveCarrier("inactive1", "Inactive 1", "US"),
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createInactiveCarrier("inactive2", "Inactive 2", "US"),
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}
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criteria := &SelectionCriteria{
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Region: "US",
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ProfileType: "operational",
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Urgency: "medium",
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CostSensitivity: 0.5,
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PerformanceWeight: 0.4,
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ReliabilityWeight: 0.4,
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}
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_, err := selector.SelectOptimalCarrier(context.Background(), inactiveCarriers, criteria)
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if err == nil {
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t.Error("Expected error when all carriers are inactive")
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}
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})
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}
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// TestMultipleSelections tests behavior with multiple selections
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func TestMultipleSelections(t *testing.T) {
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selector := NewSelectionAlgorithm()
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carriers := []*Carrier{
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createTestCarrier("carrier1", "Carrier 1", "US", 90, 95, 100, 5.0),
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createTestCarrier("carrier2", "Carrier 2", "US", 85, 98, 120, 4.0),
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createTestCarrier("carrier3", "Carrier 3", "US", 80, 97, 110, 6.0),
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}
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criteria := &SelectionCriteria{
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Region: "US",
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ProfileType: "operational",
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Urgency: "medium",
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CostSensitivity: 0.5,
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PerformanceWeight: 0.4,
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ReliabilityWeight: 0.4,
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}
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// Perform multiple selections
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selections := make(map[string]int)
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for i := range 20 {
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score, err := selector.SelectOptimalCarrier(context.Background(), carriers, criteria)
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if err != nil {
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t.Fatalf("Selection %d failed: %v", i, err)
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}
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selections[score.CarrierID]++
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}
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// Check that we have some distribution
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totalSelections := 0
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for _, count := range selections {
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totalSelections += count
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}
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if totalSelections != 20 {
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t.Errorf("Expected 20 total selections, got %d", totalSelections)
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}
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t.Logf("Selection distribution: %+v", selections)
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}
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// TestLearningFeedback tests the learning feedback mechanism
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func TestLearningFeedback(t *testing.T) {
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selector := NewSelectionAlgorithm()
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carriers := []*Carrier{
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createTestCarrier("learning-carrier", "Learning Carrier", "US", 80, 90, 150, 5.0),
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}
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criteria := &SelectionCriteria{
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Region: "US",
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ProfileType: "operational",
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Urgency: "medium",
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CostSensitivity: 0.5,
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PerformanceWeight: 0.4,
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ReliabilityWeight: 0.4,
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}
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// Initial selection
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_, err := selector.SelectOptimalCarrier(context.Background(), carriers, criteria)
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if err != nil {
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t.Fatalf("Initial selection failed: %v", err)
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}
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initialLearningRate := selector.learningRate
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// Update with poor performance
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selector.UpdateLearning("learning-carrier", 30.0)
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learningRateAfterPoor := selector.learningRate
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// Update with good performance
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selector.UpdateLearning("learning-carrier", 90.0)
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learningRateAfterGood := selector.learningRate
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// Verify learning rate changes
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if learningRateAfterPoor >= initialLearningRate {
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t.Error("Learning rate should decrease after poor performance")
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}
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if learningRateAfterGood <= learningRateAfterPoor {
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t.Error("Learning rate should increase after good performance")
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}
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t.Logf("Learning rate progression: %.4f -> %.4f -> %.4f",
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initialLearningRate, learningRateAfterPoor, learningRateAfterGood)
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}
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// Helper function to create inactive carrier
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func createInactiveCarrier(id, name, country string) *Carrier {
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carrier := createTestCarrier(id, name, country, 50, 50, 500, 1.0)
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carrier.IsActive = false
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return carrier
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}
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