File size: 2,963 Bytes
b110593
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
//                           _       _
// __      _____  __ ___   ___  __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
//  \ V  V /  __/ (_| |\ V /| | (_| | ||  __/
//   \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
//  Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
//  CONTACT: [email protected]
//

package vectorizer

import (
	"context"
	"testing"

	"github.com/stretchr/testify/assert"
	"github.com/stretchr/testify/require"
)

// as used in the nearText searcher
func TestVectorizingTexts(t *testing.T) {
	type testCase struct {
		name                string
		input               []string
		expectedApiEndpoint string
		expectedProjectID   string
		expectedEndpointID  string
		expectedPalmModel   string
		palmModel           string
	}

	tests := []testCase{
		{
			name:              "single word",
			input:             []string{"hello"},
			palmModel:         "large",
			expectedPalmModel: "large",
		},
		{
			name:              "multiple words",
			input:             []string{"hello world, this is me!"},
			palmModel:         "large",
			expectedPalmModel: "large",
		},
		{
			name:              "multiple sentences (joined with a dot)",
			input:             []string{"this is sentence 1", "and here's number 2"},
			palmModel:         "large",
			expectedPalmModel: "large",
		},
		{
			name:              "multiple sentences already containing a dot",
			input:             []string{"this is sentence 1.", "and here's number 2"},
			palmModel:         "large",
			expectedPalmModel: "large",
		},
		{
			name:              "multiple sentences already containing a question mark",
			input:             []string{"this is sentence 1?", "and here's number 2"},
			palmModel:         "large",
			expectedPalmModel: "large",
		},
		{
			name:              "multiple sentences already containing an exclamation mark",
			input:             []string{"this is sentence 1!", "and here's number 2"},
			palmModel:         "large",
			expectedPalmModel: "large",
		},
		{
			name:              "multiple sentences already containing comma",
			input:             []string{"this is sentence 1,", "and here's number 2"},
			palmModel:         "large",
			expectedPalmModel: "large",
		},
	}

	for _, test := range tests {
		t.Run(test.name, func(t *testing.T) {
			client := &fakeClient{}

			v := New(client)

			settings := &fakeSettings{
				apiEndpoint: "",
				projectID:   "",
				endpointID:  "",
			}
			vec, err := v.Texts(context.Background(), test.input, settings)

			require.Nil(t, err)
			assert.Equal(t, []float32{0.1, 1.1, 2.1, 3.1}, vec)
			assert.Equal(t, test.input, client.lastInput)
			assert.Equal(t, test.expectedApiEndpoint, client.lastConfig.ApiEndpoint)
			assert.Equal(t, test.expectedProjectID, client.lastConfig.ProjectID)
			assert.Equal(t, test.expectedEndpointID, client.lastConfig.Model)
		})
	}
}