Files
trip-planner/internal/routing/graph_test.go
Vladimir Zagainov 7adb2ebbb3 feat: Implement Pareto-front ranking with multi-criteria sorting and TestRouteParetoRanking test
- Add Cost field to Edge and RouteLeg structs
- Propagate Cost in FindRoute itinerary creation
- Write TestRouteParetoRanking test verifying non-dominated route selection
2026-08-16 14:19:29 +03:00

165 lines
5.0 KiB
Go

package routing
import (
"testing"
)
// 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
directFound := false
for _, r := range results {
if r.TotalDuration == 3600 && r.TotalTransfers == 0 {
directFound = true
break
}
}
if !directFound {
t.Error("expected direct route (0 transfers, 3600s) in Pareto results")
}
// 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")
}
// 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)
}
}
}
}