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// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2025 Weaviate B.V. All rights reserved.
//
// CONTACT: hello@weaviate.io
//
package modimage
import (
"context"
"os"
"time"
"github.com/weaviate/weaviate/usecases/modulecomponents/batch"
"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"
)
const Name = "img2vec-neural"
func New() *ImageModule {
return &ImageModule{}
}
type ImageModule struct {
vectorizer imageVectorizer
graphqlProvider modulecapabilities.GraphQLArguments
searcher modulecapabilities.Searcher[[]float32]
logger logrus.FieldLogger
}
type imageVectorizer interface {
Object(ctx context.Context, obj *models.Object, cfg moduletools.ClassConfig) ([]float32, models.AdditionalProperties, error)
VectorizeImage(ctx context.Context,
id, image string, cfg moduletools.ClassConfig) ([]float32, error)
}
func (m *ImageModule) Name() string {
return Name
}
func (m *ImageModule) Type() modulecapabilities.ModuleType {
return modulecapabilities.Img2Vec
}
func (m *ImageModule) Init(ctx context.Context,
params moduletools.ModuleInitParams,
) error {
m.logger = params.GetLogger()
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) VectorizeObject(ctx context.Context,
obj *models.Object, cfg moduletools.ClassConfig,
) ([]float32, models.AdditionalProperties, error) {
return m.vectorizer.Object(ctx, obj, cfg)
}
func (m *ImageModule) VectorizableProperties(cfg moduletools.ClassConfig) (bool, []string, error) {
ichek := vectorizer.NewClassSettings(cfg)
mediaProps, err := ichek.Properties()
return false, mediaProps, err
}
func (m *ImageModule) VectorizeBatch(ctx context.Context, objs []*models.Object, skipObject []bool, cfg moduletools.ClassConfig) ([][]float32, []models.AdditionalProperties, map[int]error) {
return batch.VectorizeBatch(ctx, objs, skipObject, cfg, m.logger, m.vectorizer.Object)
}
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[[]float32](New())
)
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