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// _ _
// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2025 Weaviate B.V. All rights reserved.
//
// CONTACT: hello@weaviate.io
//
package clients
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"time"
"github.com/weaviate/weaviate/usecases/modulecomponents/apikey"
"github.com/pkg/errors"
"github.com/sirupsen/logrus"
"github.com/weaviate/weaviate/modules/multi2vec-google/ent"
libvectorizer "github.com/weaviate/weaviate/usecases/vectorizer"
)
func buildURL(location, projectID, model string) string {
return fmt.Sprintf("https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/google/models/%s:predict",
location, projectID, location, model)
}
type google struct {
apiKey string
useGoogleAuth bool
googleApiKey *apikey.GoogleApiKey
httpClient *http.Client
urlBuilderFn func(location, projectID, model string) string
logger logrus.FieldLogger
}
func New(apiKey string, useGoogleAuth bool, timeout time.Duration, logger logrus.FieldLogger) *google {
return &google{
apiKey: apiKey,
useGoogleAuth: useGoogleAuth,
googleApiKey: apikey.NewGoogleApiKey(),
httpClient: &http.Client{
Timeout: timeout,
},
urlBuilderFn: buildURL,
logger: logger,
}
}
func (v *google) Vectorize(ctx context.Context,
texts, images, videos []string, config ent.VectorizationConfig,
) (*ent.VectorizationResult, error) {
return v.vectorize(ctx, texts, images, videos, config)
}
func (v *google) VectorizeQuery(ctx context.Context, input []string,
config ent.VectorizationConfig,
) (*ent.VectorizationResult, error) {
return v.vectorize(ctx, input, nil, nil, config)
}
func (v *google) vectorize(ctx context.Context,
texts, images, videos []string, config ent.VectorizationConfig,
) (*ent.VectorizationResult, error) {
var textEmbeddings [][]float32
var imageEmbeddings [][]float32
var videoEmbeddings [][]float32
endpointURL := v.getURL(config)
maxCount := max(len(texts), len(images), len(videos))
for i := 0; i < maxCount; i++ {
text := v.safelyGet(texts, i)
image := v.safelyGet(images, i)
video := v.safelyGet(videos, i)
payload := v.getPayload(text, image, video, config)
statusCode, res, err := v.sendRequest(ctx, endpointURL, payload)
if err != nil {
return nil, err
}
textVectors, imageVectors, videoVectors, err := v.getEmbeddingsFromResponse(statusCode, res)
if err != nil {
return nil, err
}
textEmbeddings = append(textEmbeddings, textVectors...)
imageEmbeddings = append(imageEmbeddings, imageVectors...)
videoEmbeddings = append(videoEmbeddings, videoVectors...)
}
return v.getResponse(textEmbeddings, imageEmbeddings, videoEmbeddings)
}
func (v *google) safelyGet(input []string, i int) string {
if i < len(input) {
return input[i]
}
return ""
}
func (v *google) sendRequest(ctx context.Context,
endpointURL string, payload embeddingsRequest,
) (int, embeddingsResponse, error) {
body, err := json.Marshal(payload)
if err != nil {
return 0, embeddingsResponse{}, errors.Wrapf(err, "marshal body")
}
req, err := http.NewRequestWithContext(ctx, "POST", endpointURL,
bytes.NewReader(body))
if err != nil {
return 0, embeddingsResponse{}, errors.Wrap(err, "create POST request")
}
apiKey, err := v.getApiKey(ctx)
if err != nil {
return 0, embeddingsResponse{}, errors.Wrapf(err, "Google API Key")
}
req.Header.Add("Content-Type", "application/json; charset=utf-8")
req.Header.Add("Authorization", fmt.Sprintf("Bearer %s", apiKey))
res, err := v.httpClient.Do(req)
if err != nil {
return 0, embeddingsResponse{}, errors.Wrap(err, "send POST request")
}
defer res.Body.Close()
bodyBytes, err := io.ReadAll(res.Body)
if err != nil {
return 0, embeddingsResponse{}, errors.Wrap(err, "read response body")
}
var resBody embeddingsResponse
if err := json.Unmarshal(bodyBytes, &resBody); err != nil {
return 0, embeddingsResponse{}, errors.Wrap(err, fmt.Sprintf("unmarshal response body. Got: %v", string(bodyBytes)))
}
return res.StatusCode, resBody, nil
}
func (v *google) getURL(config ent.VectorizationConfig) string {
return v.urlBuilderFn(config.Location, config.ProjectID, config.Model)
}
func (v *google) getPayload(text, img, vid string, config ent.VectorizationConfig) embeddingsRequest {
inst := instance{}
if text != "" {
inst.Text = &text
}
if img != "" {
inst.Image = &image{BytesBase64Encoded: img}
}
if vid != "" {
inst.Video = &video{
BytesBase64Encoded: vid,
VideoSegmentConfig: videoSegmentConfig{IntervalSec: &config.VideoIntervalSeconds},
}
}
req := embeddingsRequest{
Instances: []instance{inst},
}
if inst.Video == nil {
req.Parameters = parameters{Dimension: config.Dimensions}
}
return req
}
func (v *google) checkResponse(statusCode int, googleApiError *googleApiError) error {
if statusCode != 200 || googleApiError != nil {
if googleApiError != nil {
return fmt.Errorf("connection to Google failed with status: %v error: %v",
statusCode, googleApiError.Message)
}
return fmt.Errorf("connection to Google failed with status: %d", statusCode)
}
return nil
}
func (v *google) getApiKey(ctx context.Context) (string, error) {
return v.googleApiKey.GetApiKey(ctx, v.apiKey, false, v.useGoogleAuth)
}
func (v *google) getEmbeddingsFromResponse(statusCode int, resBody embeddingsResponse) (
textEmbeddings [][]float32,
imageEmbeddings [][]float32,
videoEmbeddings [][]float32,
err error,
) {
if respErr := v.checkResponse(statusCode, resBody.Error); respErr != nil {
err = respErr
return
}
if len(resBody.Predictions) == 0 {
err = errors.Errorf("empty embeddings response")
return
}
for _, p := range resBody.Predictions {
if len(p.TextEmbedding) > 0 {
textEmbeddings = append(textEmbeddings, p.TextEmbedding)
}
if len(p.ImageEmbedding) > 0 {
imageEmbeddings = append(imageEmbeddings, p.ImageEmbedding)
}
if len(p.VideoEmbeddings) > 0 {
var embeddings [][]float32
for _, videoEmbedding := range p.VideoEmbeddings {
embeddings = append(embeddings, videoEmbedding.Embedding)
}
embedding := embeddings[0]
if len(embeddings) > 1 {
embedding = libvectorizer.CombineVectors(embeddings)
}
videoEmbeddings = append(videoEmbeddings, embedding)
}
}
return
}
func (v *google) getResponse(textVectors, imageVectors, videoVectors [][]float32) (*ent.VectorizationResult, error) {
return &ent.VectorizationResult{
TextVectors: textVectors,
ImageVectors: imageVectors,
VideoVectors: videoVectors,
}, nil
}
type embeddingsRequest struct {
Instances []instance `json:"instances,omitempty"`
Parameters parameters `json:"parameters,omitempty"`
}
type parameters struct {
Dimension int64 `json:"dimension,omitempty"`
}
type instance struct {
Text *string `json:"text,omitempty"`
Image *image `json:"image,omitempty"`
Video *video `json:"video,omitempty"`
}
type image struct {
BytesBase64Encoded string `json:"bytesBase64Encoded"`
}
type video struct {
BytesBase64Encoded string `json:"bytesBase64Encoded"`
VideoSegmentConfig videoSegmentConfig `json:"videoSegmentConfig"`
}
type videoSegmentConfig struct {
StartOffsetSec *int64 `json:"startOffsetSec,omitempty"`
EndOffsetSec *int64 `json:"endOffsetSec,omitempty"`
IntervalSec *int64 `json:"intervalSec,omitempty"`
}
type embeddingsResponse struct {
Predictions []prediction `json:"predictions,omitempty"`
Error *googleApiError `json:"error,omitempty"`
DeployedModelId string `json:"deployedModelId,omitempty"`
}
type prediction struct {
TextEmbedding []float32 `json:"textEmbedding,omitempty"`
ImageEmbedding []float32 `json:"imageEmbedding,omitempty"`
VideoEmbeddings []videoEmbedding `json:"videoEmbeddings,omitempty"`
}
type videoEmbedding struct {
StartOffsetSec *int64 `json:"startOffsetSec,omitempty"`
EndOffsetSec *int64 `json:"endOffsetSec,omitempty"`
Embedding []float32 `json:"embedding,omitempty"`
}
type googleApiError struct {
Code int `json:"code"`
Message string `json:"message"`
Status string `json:"status"`
}