// _ _ // __ _____ __ ___ ___ __ _| |_ ___ // \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \ // \ 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"` }