modules/img2vec-neural/vectorizer/fakes_for_test.go

//                           _       _
// __      _____  __ ___   ___  __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
//  \ V  V /  __/ (_| |\ V /| | (_| | ||  __/
//   \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
//  Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
//  CONTACT: [email protected]
//

package vectorizer

import (
	"context"

	"github.com/weaviate/weaviate/modules/img2vec-neural/ent"
)

type builder struct {
	fakeClassConfig *fakeClassConfig
}

func newConfigBuilder() *builder {
	return &builder{
		fakeClassConfig: &fakeClassConfig{config: map[string]interface{}{}},
	}
}

func (b *builder) addSetting(name string, value interface{}) *builder {
	b.fakeClassConfig.config[name] = value
	return b
}

func (b *builder) build() *fakeClassConfig {
	return b.fakeClassConfig
}

type fakeClassConfig struct {
	config map[string]interface{}
}

func (c fakeClassConfig) Class() map[string]interface{} {
	return c.config
}

func (c fakeClassConfig) ClassByModuleName(moduleName string) map[string]interface{} {
	return c.config
}

func (c fakeClassConfig) Property(propName string) map[string]interface{} {
	return c.config
}

func (f fakeClassConfig) Tenant() string {
	return ""
}

type fakeClient struct{}

func (c *fakeClient) Vectorize(ctx context.Context,
	id, image string,
) (*ent.VectorizationResult, error) {
	result := &ent.VectorizationResult{
		ID:     id,
		Image:  image,
		Vector: []float32{1.0, 2.0, 3.0, 4.0, 5.0},
	}
	return result, nil
}