File size: 2,960 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
102
103
104
105
106
107
108
//                           _       _
// __      _____  __ ___   ___  __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
//  \ V  V /  __/ (_| |\ V /| | (_| | ||  __/
//   \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
//  Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
//  CONTACT: [email protected]
//

package modimage

import (
	"context"
	"net/http"
	"os"
	"time"

	"github.com/pkg/errors"
	"github.com/sirupsen/logrus"
	"github.com/weaviate/weaviate/entities/models"
	"github.com/weaviate/weaviate/entities/modulecapabilities"
	"github.com/weaviate/weaviate/entities/moduletools"
	"github.com/weaviate/weaviate/modules/img2vec-neural/clients"
	"github.com/weaviate/weaviate/modules/img2vec-neural/vectorizer"
)

func New() *ImageModule {
	return &ImageModule{}
}

type ImageModule struct {
	vectorizer      imageVectorizer
	graphqlProvider modulecapabilities.GraphQLArguments
	searcher        modulecapabilities.Searcher
}

type imageVectorizer interface {
	Object(ctx context.Context, object *models.Object, objDiff *moduletools.ObjectDiff,
		settings vectorizer.ClassSettings) error
	VectorizeImage(ctx context.Context,
		id, image string) ([]float32, error)
}

func (m *ImageModule) Name() string {
	return "img2vec-neural"
}

func (m *ImageModule) Type() modulecapabilities.ModuleType {
	return modulecapabilities.Img2Vec
}

func (m *ImageModule) Init(ctx context.Context,
	params moduletools.ModuleInitParams,
) error {
	if err := m.initVectorizer(ctx, params.GetConfig().ModuleHttpClientTimeout, params.GetLogger()); err != nil {
		return errors.Wrap(err, "init vectorizer")
	}

	if err := m.initNearImage(); err != nil {
		return errors.Wrap(err, "init near text")
	}

	return nil
}

func (m *ImageModule) initVectorizer(ctx context.Context, timeout time.Duration,
	logger logrus.FieldLogger,
) error {
	// TODO: proper config management
	uri := os.Getenv("IMAGE_INFERENCE_API")
	if uri == "" {
		return errors.Errorf("required variable IMAGE_INFERENCE_API is not set")
	}

	client := clients.New(uri, timeout, logger)
	if err := client.WaitForStartup(ctx, 1*time.Second); err != nil {
		return errors.Wrap(err, "init remote vectorizer")
	}

	m.vectorizer = vectorizer.New(client)

	return nil
}

func (m *ImageModule) RootHandler() http.Handler {
	// TODO: remove once this is a capability interface
	return nil
}

func (m *ImageModule) VectorizeObject(ctx context.Context,
	obj *models.Object, objDiff *moduletools.ObjectDiff, cfg moduletools.ClassConfig,
) error {
	icheck := vectorizer.NewClassSettings(cfg)
	return m.vectorizer.Object(ctx, obj, objDiff, icheck)
}

func (m *ImageModule) MetaInfo() (map[string]interface{}, error) {
	return map[string]interface{}{}, nil
}

// verify we implement the modules.Module interface
var (
	_ = modulecapabilities.Module(New())
	_ = modulecapabilities.Vectorizer(New())
)