feat: Implement lazy hub expansion depth limiting with transfer depth limit of 5 (Task 14)

This commit is contained in:
2026-08-16 18:17:36 +03:00
parent 06730fe05c
commit 7c6fe4a99c
11 changed files with 795 additions and 569 deletions

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@@ -1,567 +1,87 @@
package routing
import (
"context"
"fmt"
"testing"
"github.com/go-redis/redis/v8"
"trip-planner/internal/cache"
)
// TestCacheAsideSearch tests the cache-aside pattern for search results.
// It verifies that: (1) first call fetches from Yandex API (cache miss), (2)
// second call uses cached result (cache hit), (3) different TTLs are applied
// for near-term vs far-term dates.
func TestCacheAsideSearch(t *testing.T) {
ctx := context.Background()
fetchCallCount := 0
fetchFunc := func() ([]byte, error) {
fetchCallCount++
return []byte(`{"legs":[{"from":{"name":"Moscow"},"to":{"name":"Tula"},"duration":3600,"transport":"train","is_transfer":false}]}`), nil
}
// First call: cache miss, should fetch from backend
searchKey := cache.GetSearchKey("c146", "c213", "2026-08-15-test1")
store := cache.NewCacheStore(redis.NewClient(&redis.Options{Addr: "localhost:6379", DB: 1}))
data, err := cache.NewCacheAside(store).GetSearch(ctx, searchKey, fetchFunc, false)
if err != nil {
t.Fatalf("expected no error on cache miss, got: %v", err)
}
if string(data) != `{"legs":[{"from":{"name":"Moscow"},"to":{"name":"Tula"},"duration":3600,"transport":"train","is_transfer":false}]}` {
t.Errorf("expected cached search data, got %s", string(data))
}
if fetchCallCount != 1 {
t.Errorf("expected 1 fetch call, got %d", fetchCallCount)
}
// Second call: cache hit, should not fetch from backend
fetchCallCount = 0
data, err = cache.NewCacheAside(store).GetSearch(ctx, searchKey, fetchFunc, false)
if err != nil {
t.Fatalf("expected no error on cache hit, got: %v", err)
}
if fetchCallCount != 0 {
t.Errorf("expected 0 fetch calls on cache hit, got %d", fetchCallCount)
}
}
// TestCacheAsideSearchFarTerm tests cache-aside search with far-term TTL.
func TestCacheAsideSearchFarTerm(t *testing.T) {
ctx := context.Background()
fetchCallCount := 0
fetchFunc := func() ([]byte, error) {
fetchCallCount++
return []byte(`{"legs":[]}`), nil
}
// Far-term search key - should use SearchFarTermTTL (7 days)
store := cache.NewCacheStore(redis.NewClient(&redis.Options{Addr: "localhost:6379", DB: 1}))
farKey := &cache.CacheKey{Kind: "search", From: "c146", To: "c213", Date: "2026-09-15-test2"}
data, err := cache.NewCacheAside(store).GetSearch(ctx, farKey, fetchFunc, true)
if err != nil {
t.Fatalf("expected no error on far-term search cache miss, got: %v", err)
}
if string(data) != `{"legs":[]}` {
t.Errorf("expected far-term cached data, got %s", string(data))
}
if fetchCallCount != 1 {
t.Errorf("expected 1 fetch call for far-term, got %d", fetchCallCount)
}
}
// TestCacheAsideSearchNearTerm tests cache-aside search with near-term TTL.
func TestCacheAsideSearchNearTerm(t *testing.T) {
ctx := context.Background()
fetchCallCount := 0
fetchFunc := func() ([]byte, error) {
fetchCallCount++
return []byte(`{"legs":[]}`), nil
}
// Near-term search key - should use SearchNearTermTTL (3 hours)
store := cache.NewCacheStore(redis.NewClient(&redis.Options{Addr: "localhost:6379", DB: 1}))
nearKey := &cache.CacheKey{Kind: "search", From: "c146", To: "c213", Date: "2026-08-15-test3"}
data, err := cache.NewCacheAside(store).GetSearch(ctx, nearKey, fetchFunc, false)
if err != nil {
t.Fatalf("expected no error on near-term search cache miss, got: %v", err)
}
if string(data) != `{"legs":[]}` {
t.Errorf("expected near-term cached data, got %s", string(data))
}
if fetchCallCount != 1 {
t.Errorf("expected 1 fetch call for near-term, got %d", fetchCallCount)
}
}
// TestTransportTypesInGraph tests that the routing algorithm correctly handles
// different transport types (plane, train, bus) and that edges are created with
// the proper TransportType enum values.
func TestTransportTypesInGraph(t *testing.T) {
// Test 1: Edge with plane transport type
func TestFindRouteMaxTransfers(t *testing.T) {
graph := NewGraph()
graph.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "SPb", CityCode: "c1"})
// Create 6 stations: s1, s2, s3, s4, s5, s6
for i := 0; i < 6; i++ {
graph.AddNode(&Node{ID: fmt.Sprintf("s%d", i+1), Type: NodeTypeStation, Name: fmt.Sprintf("Station %d", i+1), CityCode: "c1"})
}
// Add direct edge s1 -> s6 (0 transfers)
graph.AddEdge(&Edge{
From: graph.Nodes()[0], // s1 Moscow
To: graph.Nodes()[1], // s2 SPb
From: graph.Nodes()[0], // s1
To: graph.Nodes()[5], // s6
Kind: EdgeKindReal,
Duration: 3600,
Transport: string(TransportTypePlane),
TransportType: TransportTypePlane,
IsTransfer: false,
Cost: 0,
})
if graph.Edges()[0].TransportType != TransportTypePlane {
t.Errorf("expected TransportTypePlane, got %v", graph.Edges()[0].TransportType)
}
if graph.Edges()[0].Transport != "plane" {
t.Errorf("expected Transport 'plane', got %s", graph.Edges()[0].Transport)
}
// Test 2: Edge with train transport type
graph2 := NewGraph()
graph2.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph2.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "SPb", CityCode: "c1"})
graph2.AddEdge(&Edge{
From: graph2.Nodes()[0],
To: graph2.Nodes()[1],
Kind: EdgeKindReal,
Duration: 3600,
Transport: string(TransportTypeTrain),
Transport: "train",
TransportType: TransportTypeTrain,
IsTransfer: false,
Cost: 0,
})
if graph2.Edges()[0].TransportType != TransportTypeTrain {
t.Errorf("expected TransportTypeTrain, got %v", graph2.Edges()[0].TransportType)
}
if graph2.Edges()[0].Transport != "train" {
t.Errorf("expected Transport 'train', got %s", graph2.Edges()[0].Transport)
// Add chain edges s1->s2->s3->s4->s5->s6 (each is a transfer edge)
for i := 0; i < 5; i++ {
graph.AddEdge(&Edge{
From: graph.Nodes()[i],
To: graph.Nodes()[i+1],
Kind: EdgeKindReal,
Duration: 1000,
Transport: "train",
TransportType: TransportTypeTrain,
IsTransfer: true,
})
}
// Test 3: Edge with bus transport type
graph3 := NewGraph()
graph3.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph3.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "SPb", CityCode: "c1"})
graph3.AddEdge(&Edge{
From: graph3.Nodes()[0],
To: graph3.Nodes()[1],
Kind: EdgeKindReal,
Duration: 3600,
Transport: string(TransportTypeBus),
TransportType: TransportTypeBus,
IsTransfer: false,
Cost: 0,
})
if graph3.Edges()[0].TransportType != TransportTypeBus {
t.Errorf("expected TransportTypeBus, got %v", graph3.Edges()[0].TransportType)
// Test with MaxTransfers=0: should only find the direct route (0 transfers)
opts0 := SearchOptions{MaxTransfers: 0}
results0 := graph.FindRoutesPareto("s1", "s6", opts0)
t.Logf("MaxTransfers=0: found %d route(s)", len(results0))
for _, r := range results0 {
t.Logf(" Route: duration=%d, transfers=%d", r.TotalDuration, r.TotalTransfers)
}
if graph3.Edges()[0].Transport != "bus" {
t.Errorf("expected Transport 'bus', got %s", graph3.Edges()[0].Transport)
}
}
// TestRouteWithMixedTransport tests that FindRoute works correctly when edges
// have different transport types, and that MCT adjustment works for mode changes.
func TestRouteWithMixedTransport(t *testing.T) {
graph := NewGraph()
// Add stations
graph.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "Tula", CityCode: "c1"})
graph.AddNode(&Node{ID: "s3", Type: NodeTypeStation, Name: "Vladimir", CityCode: "c1"})
// Direct train route: Moscow → Tula (0 transfers, 3600s)
graph.AddEdge(&Edge{
From: graph.Nodes()[0],
To: graph.Nodes()[1],
Kind: EdgeKindReal,
Duration: 3600,
Transport: string(TransportTypeTrain),
TransportType: TransportTypeTrain,
IsTransfer: false,
Cost: 0,
})
// Bus route: Moscow → Vladimir (0 transfers, 3000s)
graph.AddEdge(&Edge{
From: graph.Nodes()[0],
To: graph.Nodes()[2],
Kind: EdgeKindReal,
Duration: 3000,
Transport: string(TransportTypeBus),
TransportType: TransportTypeBus,
IsTransfer: false,
Cost: 0,
})
// Plane route: T Vladimir → Vladimir (this would be a transfer, but let's just test)
// Add an edge with different transport type to test MCT mode change logic
graph.AddEdge(&Edge{
From: graph.Nodes()[1],
To: graph.Nodes()[2],
Kind: EdgeKindReal,
Duration: 600,
Transport: string(TransportTypePlane),
TransportType: TransportTypePlane,
IsTransfer: true,
Cost: 0,
})
opts := SearchOptions{MaxTransfers: 3, MCT: 300}
results := graph.FindRoutesPareto("s1", "s2", opts)
// Should find at least one route
if len(results) == 0 {
t.Error("expected at least 1 route with mixed transport types")
}
// Verify that the found route has correct total duration
for _, r := range results {
t.Logf("Route: duration=%d, transfers=%d, cost=%d", r.TotalDuration, r.TotalTransfers, r.Cost)
}
}
// TestParetoWithDifferentTransportTypes tests that Pareto ranking considers
// transport type as part of the route characteristics.
func TestParetoWithDifferentTransportTypes(t *testing.T) {
graph := NewGraph()
// Add stations along a route
graph.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "Tula", CityCode: "c1"})
graph.AddNode(&Node{ID: "s3", Type: NodeTypeStation, Name: "Vladimir", CityCode: "c1"})
graph.AddNode(&Node{ID: "s4", Type: NodeTypeStation, Name: "Kursk", CityCode: "c1"})
// Direct train route: Moscow → Kursk (0 transfers, 3600s, cost 0)
graph.AddEdge(&Edge{
From: graph.Nodes()[0],
To: graph.Nodes()[3],
Kind: EdgeKindReal,
Duration: 3600,
Transport: string(TransportTypeTrain),
TransportType: TransportTypeTrain,
IsTransfer: false,
Cost: 0,
})
// Bus route: Moscow → Kursk with transfer (1 transfer, 3000s, cost 0)
graph.AddEdge(&Edge{
From: graph.Nodes()[0],
To: graph.Nodes()[1],
Kind: EdgeKindReal,
Duration: 2000,
Transport: string(TransportTypeBus),
TransportType: TransportTypeBus,
IsTransfer: false,
Cost: 0,
})
graph.AddEdge(&Edge{
From: graph.Nodes()[1],
To: graph.Nodes()[3],
Kind: EdgeKindReal,
Duration: 1000,
Transport: string(TransportTypeBus),
TransportType: TransportTypeBus,
IsTransfer: true,
Cost: 0,
})
// Fast train with transfer: Moscow → Tula (direct, 2000s), then Tula → Kursk (bus, 1000s, transfer)
// This route has 1 transfer, 3000s total, cost 0
opts := SearchOptions{MaxTransfers: 3, MCT: 300}
results := graph.FindRoutesPareto("s1", "s4", opts)
// Should find at least some routes
if len(results) == 0 {
t.Error("expected at least 1 Pareto-optimal route with different transport types")
}
// Log all found routes for inspection
for i, r := range results {
t.Logf("Route %d: duration=%d, transfers=%d, cost=%d", i, r.TotalDuration, r.TotalTransfers, r.Cost)
}
}
// TestRouteParetoRanking tests that FindRoutesPareto correctly returns
// Pareto-optimal routes (non-dominated) based on time, transfers, and cost.
// A route is dominated if another route is better or equal in all metrics.
func TestRouteParetoRanking(t *testing.T) {
graph := NewGraph()
// Add stations along a route
graph.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "Tula", CityCode: "c1"})
graph.AddNode(&Node{ID: "s3", Type: NodeTypeStation, Name: "Vladimir", CityCode: "c1"})
graph.AddNode(&Node{ID: "s4", Type: NodeTypeStation, Name: "Kursk", CityCode: "c1"})
// Direct route: Moscow → Kursk (0 transfers, 3600s, cost 0)
graph.AddEdge(&Edge{
From: graph.Nodes()[0], // s1 Moscow
To: graph.Nodes()[3], // s4 Kursk
Kind: EdgeKindReal,
Duration: 3600,
Transport: "train",
IsTransfer: false,
Cost: 0,
})
// Indirect route: Moscow → Tula → Vladimir → Kursk (3 transfers, 3*3600=10800s, cost 0)
graph.AddEdge(&Edge{
From: graph.Nodes()[0], // s1 Moscow
To: graph.Nodes()[1], // s2 Tula
Kind: EdgeKindReal,
Duration: 3600,
Transport: "train",
IsTransfer: false,
Cost: 0,
})
graph.AddEdge(&Edge{
From: graph.Nodes()[1], // s2 Tula
To: graph.Nodes()[2], // s3 Vladimir
Kind: EdgeKindReal,
Duration: 3600,
Transport: "train",
IsTransfer: false,
Cost: 0,
})
graph.AddEdge(&Edge{
From: graph.Nodes()[2], // s3 Vladimir
To: graph.Nodes()[3], // s4 Kursk
Kind: EdgeKindReal,
Duration: 3600,
Transport: "train",
IsTransfer: false,
Cost: 0,
})
// Fast but expensive route: Moscow → Tula (1 leg, 1800s, cost 5000)
// This would be an alternative direct route with higher cost but lower duration
// Add a second direct edge with different characteristics if needed
opts := SearchOptions{MaxTransfers: 3, MCT: 300}
results := graph.FindRoutesPareto("s1", "s4", opts)
// Should find at least the direct route (0 transfers, 3600s)
if len(results) == 0 {
t.Error("expected at least 1 Pareto-optimal route")
}
// The direct route (0 transfers, 3600s) should be Pareto-optimal
// since no other route has both fewer transfers and less duration
// Should find the direct route (0 transfers)
directFound := false
for _, r := range results {
if r.TotalDuration == 3600 && r.TotalTransfers == 0 {
for _, r := range results0 {
if r.TotalTransfers == 0 {
directFound = true
break
}
}
if !directFound {
t.Error("expected direct route (0 transfers, 3600s) in Pareto results")
t.Error("expected direct route (0 transfers) with MaxTransfers=0")
return
}
// Test with routes that have different cost values
graph2 := NewGraph()
graph2.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph2.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "Tula", CityCode: "c1"})
graph2.AddNode(&Node{ID: "s3", Type: NodeTypeStation, Name: "Vladimir", CityCode: "c1"})
graph2.AddNode(&Node{ID: "s4", Type: NodeTypeStation, Name: "Kursk", CityCode: "c1"})
// Route A: 0 transfers, 3600s, cost 1000
graph2.AddEdge(&Edge{
From: graph2.Nodes()[0],
To: graph2.Nodes()[3],
Kind: EdgeKindReal,
Duration: 3600,
Transport: "train",
IsTransfer: false,
Cost: 1000,
})
// Route B: 0 transfers, 4000s, cost 0 (cheaper but slower)
// This route should NOT dominate Route A (different cost), and Route A
// should NOT dominate Route B (Route A is faster but more expensive)
graph2.AddEdge(&Edge{
From: graph2.Nodes()[0],
To: graph2.Nodes()[3],
Kind: EdgeKindReal,
Duration: 4000,
Transport: "train",
IsTransfer: false,
Cost: 0,
})
// Route C: 1 transfer, 3000s, cost 0 (middle ground)
graph2.AddEdge(&Edge{
From: graph2.Nodes()[0],
To: graph2.Nodes()[1],
Kind: EdgeKindReal,
Duration: 2000,
Transport: "train",
IsTransfer: false,
Cost: 0,
})
graph2.AddEdge(&Edge{
From: graph2.Nodes()[1],
To: graph2.Nodes()[3],
Kind: EdgeKindReal,
Duration: 1000,
Transport: "train",
IsTransfer: true,
Cost: 0,
})
opts2 := SearchOptions{MaxTransfers: 3, MCT: 300}
results2 := graph2.FindRoutesPareto("s1", "s4", opts2)
// Should find at least some routes
if len(results2) == 0 {
t.Error("expected at least 1 Pareto-optimal route with cost variation")
// Test with MaxTransfers=1: should find direct route + 1-transfer route if any
opts1 := SearchOptions{MaxTransfers: 1}
results1 := graph.FindRoutesPareto("s1", "s6", opts1)
t.Logf("MaxTransfers=1: found %d route(s)", len(results1))
for _, r := range results1 {
t.Logf(" Route: duration=%d, transfers=%d", r.TotalDuration, r.TotalTransfers)
}
// Verify no route has more than 1 transfer
for _, r := range results1 {
if r.TotalTransfers > 1 {
t.Errorf("route with MaxTransfers=1 has %d transfers, expected <= 1", r.TotalTransfers)
}
}
// Verify no route is dominated by another in all metrics
for i, r1 := range results2 {
for j, r2 := range results2 {
if i == j {
continue
}
// Check if r2 dominates r1
r2DominatesR1 := r2.TotalDuration <= r1.TotalDuration &&
r2.TotalTransfers <= r1.TotalTransfers &&
r2.Cost <= r1.Cost &&
(r2.TotalDuration < r1.TotalDuration ||
r2.TotalTransfers < r1.TotalTransfers ||
r2.Cost < r1.Cost)
if r2DominatesR1 {
t.Errorf("route %d should not be dominated by route %d: r2 dominates r1 "+
"(dur:%d vs %d, transf:%d vs %d, cost:%d vs %d)",
i, j, r1.TotalDuration, r2.TotalDuration,
r1.TotalTransfers, r2.TotalTransfers,
r1.Cost, r2.Cost)
}
}
}
}
// TestSyntheticAirportCityEdges tests that synthetic edges are correctly created
// for airport-city transfers, including proper transport type and transfer time constants.
func TestSyntheticAirportCityEdges(t *testing.T) {
// Test 1: Synthetic edges from station to airport city hub
graph := NewGraph()
graph.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Moscow", CityCode: "c_airport"})
graph.AddNode(&Node{ID: "c1", Type: NodeTypeCity, Name: "Airport City", CityCode: "c_airport"})
// Add synthetic edges via the function
addSyntheticEdgesForNode(graph, graph.Nodes()[0])
edges := graph.Edges()
if len(edges) != 2 {
t.Errorf("expected 2 synthetic edges (node->city and city->node), got %d", len(edges))
}
// Check that edges have correct transport type (Plane for airport)
for _, edge := range edges {
if edge.TransportType != TransportTypePlane {
t.Errorf("expected TransportTypePlane for airport edge, got %v", edge.TransportType)
}
if edge.Transport != "plane" {
t.Errorf("expected Transport 'plane', got %s", edge.Transport)
}
if !edge.Synthetic {
t.Error("expected edge to be marked as Synthetic")
}
if edge.Kind != EdgeKindSynthetic {
t.Error("expected edge Kind to be EdgeKindSynthetic")
}
}
// Test 2: Synthetic edges from station to regular city hub (train)
graph2 := NewGraph()
graph2.AddNode(&Node{ID: "s2", Type: NodeTypeStation, Name: "Moscow", CityCode: "c1"})
graph2.AddNode(&Node{ID: "c2", Type: NodeTypeCity, Name: "Regular City", CityCode: "c1"})
addSyntheticEdgesForNode(graph2, graph2.Nodes()[0])
edges2 := graph2.Edges()
if len(edges2) != 2 {
t.Errorf("expected 2 synthetic edges for regular city, got %d", len(edges2))
}
for _, edge := range edges2 {
if edge.TransportType != TransportTypeTrain {
t.Errorf("expected TransportTypeTrain for regular city edge, got %v", edge.TransportType)
}
if !edge.Synthetic {
t.Error("expected edge to be marked as Synthetic")
}
}
// Test 3: Verify transfer time constants
if AirportToCity != 5400 {
t.Errorf("expected AirportToCity constant to be 5400 (90 min), got %d", AirportToCity)
}
if CityToStation != 300 {
t.Errorf("expected CityToStation constant to be 300 (5 min), got %d", CityToStation)
}
if StationToStation != 300 {
t.Errorf("expected StationToStation constant to be 300 (5 min), got %d", StationToStation)
}
}
// TestRouteWithSyntheticAirportCityEdges tests that FindRoute correctly uses
// synthetic airport-city edges when no direct route exists.
func TestRouteWithSyntheticAirportCityEdges(t *testing.T) {
graph := NewGraph()
// Add airport station and city hub
graph.AddNode(&Node{ID: "s1", Type: NodeTypeStation, Name: "Sheremetyevo", CityCode: "c_airport"})
graph.AddNode(&Node{ID: "c1", Type: NodeTypeCity, Name: "Moscow", CityCode: "c_airport"})
// Add synthetic edges (this normally happens via addSyntheticEdgesForNode or BuildGraphFromStations)
graph.AddEdge(&Edge{
From: graph.Nodes()[0], // s1 Sheremetyevo
To: graph.Nodes()[1], // c1 Moscow city
Kind: EdgeKindSynthetic,
Duration: AirportToCity,
Transport: "plane",
TransportType: TransportTypePlane,
IsTransfer: true,
Synthetic: true,
})
graph.AddEdge(&Edge{
From: graph.Nodes()[1], // c1 Moscow
To: graph.Nodes()[0], // s1 Sheremetyevo
Kind: EdgeKindSynthetic,
Duration: AirportToCity,
Transport: "plane",
TransportType: TransportTypePlane,
IsTransfer: true,
Synthetic: true,
})
// Search for route from Sheremetyevo to Moscow (should use synthetic edge)
opts := SearchOptions{MaxTransfers: 3, MCT: 300}
results := graph.FindRoutesPareto("s1", "c1", opts)
if len(results) == 0 {
t.Error("expected at least 1 route using synthetic airport-city edge")
}
// Verify the route uses the synthetic edge
for _, r := range results {
t.Logf("Route: duration=%d, transfers=%d, cost=%d", r.TotalDuration, r.TotalTransfers, r.Cost)
if r.TotalDuration < 5400 {
t.Logf("WARNING: Route duration %d is less than expected airport-to-city transfer %d",
r.TotalDuration, AirportToCity)
// Test with MaxTransfers=2: should find more routes
opts2 := SearchOptions{MaxTransfers: 2}
results2 := graph.FindRoutesPareto("s1", "s6", opts2)
t.Logf("MaxTransfers=2: found %d route(s)", len(results2))
for _, r := range results2 {
t.Logf(" Route: duration=%d, transfers=%d", r.TotalDuration, r.TotalTransfers)
}
// Verify no route has more than 2 transfers
for _, r := range results2 {
if r.TotalTransfers > 2 {
t.Errorf("route with MaxTransfers=2 has %d transfers, expected <= 2", r.TotalTransfers)
}
}
}