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// _ _
// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
// CONTACT: [email protected]
//
package test
import (
"testing"
"github.com/weaviate/weaviate/entities/models"
)
func addTestDataManhattan(t *testing.T) {
createObject(t, &models.Object{
Class: "Manhattan_Class",
Properties: map[string]interface{}{
"name": "object_1",
},
Vector: []float32{
10, 11, 12,
},
})
createObject(t, &models.Object{
Class: "Manhattan_Class",
Properties: map[string]interface{}{
"name": "object_2",
},
Vector: []float32{
13, 15, 17,
},
})
createObject(t, &models.Object{
Class: "Manhattan_Class",
Properties: map[string]interface{}{
"name": "object_3",
},
Vector: []float32{
0, 0, 0, // a zero vector
},
})
}
func testManhattan(t *testing.T) {
t.Run("without any limiting parameters", func(t *testing.T) {
res := AssertGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12]}){
name
_additional{distance}
}
}
}
`)
results := res.Get("Get", "Manhattan_Class").AsSlice()
expectedDistances := []float32{
0, // the same vector as the query
12, // distance to the second vector -> abs(10-13)+abs(11-15)+abs(12-17) = 3+4+5 = 12
33, // manhattan distance to the root -> 10+11+12 = 33
}
compareDistances(t, expectedDistances, results)
})
t.Run("with a certainty arg", func(t *testing.T) {
// not supported for non-cosine distances
ErrorGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12], certainty:0.3}){
name
_additional{distance}
}
}
}
`)
})
t.Run("with a certainty prop", func(t *testing.T) {
// not supported for non-cosine distances
ErrorGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12], distance:0.3}){
name
_additional{certainty}
}
}
}
`)
})
t.Run("a high distance that includes all elements", func(t *testing.T) {
res := AssertGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12], distance: 365}){
name
_additional{distance}
}
}
}
`)
results := res.Get("Get", "Manhattan_Class").AsSlice()
expectedDistances := []float32{
0, // the same vector as the query
12, // distance to the second vector -> abs(10-13)+abs(11-15)+abs(12-17) = 3+4+5 = 12
33, // manhattan distance to the root -> 10+11+12 = 33
}
compareDistances(t, expectedDistances, results)
})
t.Run("a distance that is too low for the last element", func(t *testing.T) {
res := AssertGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12], distance: 30}){
name
_additional{distance}
}
}
}
`)
results := res.Get("Get", "Manhattan_Class").AsSlice()
expectedDistances := []float32{
0, // the same vector as the query
12, // distance to the second vector -> abs(10-13)+abs(11-15)+abs(12-17) = 3+4+5 = 12
// last skipped, as 33 > 30
}
compareDistances(t, expectedDistances, results)
})
t.Run("a distance that is too low for the second element", func(t *testing.T) {
res := AssertGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12], distance: 10}){
name
_additional{distance}
}
}
}
`)
results := res.Get("Get", "Manhattan_Class").AsSlice()
expectedDistances := []float32{
0, // the same vector as the query
// second elem skipped, because 12 > 10
// last eleme skipped, because 33 > 10
}
compareDistances(t, expectedDistances, results)
})
t.Run("a really low distance that only matches one elem", func(t *testing.T) {
res := AssertGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12], distance: 0.001}){
name
_additional{distance}
}
}
}
`)
results := res.Get("Get", "Manhattan_Class").AsSlice()
expectedDistances := []float32{
0, // the same vector as the query
// second elem skipped, because 12 > 0.001
// last eleme skipped, because 33 > 0.001
}
compareDistances(t, expectedDistances, results)
})
t.Run("a distance of 0 only matches exact elements", func(t *testing.T) {
res := AssertGraphQL(t, nil, `
{
Get{
Manhattan_Class(nearVector:{vector: [10,11,12], distance: 0}){
name
_additional{distance}
}
}
}
`)
results := res.Get("Get", "Manhattan_Class").AsSlice()
expectedDistances := []float32{
0, // the same vector as the query
// second elem skipped, because 12 > 0
// last eleme skipped, because 33 > 0
}
compareDistances(t, expectedDistances, results)
})
}
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