l_ai_knowledge/internal/application/service/metric/precision_test.go

68 lines
1.2 KiB
Go

package metric
import (
"testing"
"knowlege-lsxd/internal/types"
)
func TestPrecisionMetric_Compute(t *testing.T) {
tests := []struct {
name string
input *types.MetricInput
expected float64
}{
{
name: "perfect match",
input: &types.MetricInput{
RetrievalGT: [][]int{{1, 3, 5}},
RetrievalIDs: []int{1, 3, 5},
},
expected: 1.0,
},
{
name: "half match",
input: &types.MetricInput{
RetrievalGT: [][]int{{1, 2, 3}},
RetrievalIDs: []int{1, 4, 2},
},
expected: 0.6666666666666666,
},
{
name: "no match",
input: &types.MetricInput{
RetrievalGT: [][]int{{1, 2, 3}},
RetrievalIDs: []int{4, 5, 6},
},
expected: 0.0,
},
{
name: "empty retrieval",
input: &types.MetricInput{
RetrievalGT: [][]int{{1, 2, 3}},
RetrievalIDs: []int{},
},
expected: 0.0,
},
{
name: "multiple ground truths",
input: &types.MetricInput{
RetrievalGT: [][]int{{1, 2}, {3, 4}},
RetrievalIDs: []int{1, 3, 5},
},
expected: 0.3333333333333333,
},
}
pm := NewPrecisionMetric()
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := pm.Compute(tt.input)
if got != tt.expected {
t.Errorf("Compute() = %v, want %v", got, tt.expected)
}
})
}
}