Spaces:
Running
Running
// _ _ | |
// __ _____ __ ___ ___ __ _| |_ ___ | |
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \ | |
// \ 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()) | |
) | |