wehub-resource-sync
498b235461
Build and test / Build and test AMD64 Ubuntu 22.04 (push) Failing after 0s
Publish Builder / amazonlinux2023 (push) Failing after 1s
Build and test / UT for Go (push) Has been skipped
Publish KRTE Images / KRTE (push) Failing after 1s
Build and test / Integration Test (push) Has been skipped
Build and test / Upload Code Coverage (push) Has been skipped
Publish Builder / rockylinux9 (push) Failing after 1s
Publish Builder / ubuntu22.04 (push) Failing after 0s
Publish Builder / ubuntu24.04 (push) Failing after 0s
Publish Gpu Builder / publish-gpu-builder (push) Failing after 1s
Publish Test Images / PyTest (push) Failing after 0s
Build and test / UT for Cpp (push) Has been cancelled
106 lines
2.8 KiB
Go
106 lines
2.8 KiB
Go
// Licensed to the LF AI & Data foundation under one
|
|
// or more contributor license agreements. See the NOTICE file
|
|
// distributed with this work for additional information
|
|
// regarding copyright ownership. The ASF licenses this file
|
|
// to you under the Apache License, Version 2.0 (the
|
|
// "License"); you may not use this file except in compliance
|
|
// with the License. You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
package gemini
|
|
|
|
import (
|
|
"strings"
|
|
|
|
"github.com/milvus-io/milvus/internal/util/function/models"
|
|
"github.com/milvus-io/milvus/pkg/v3/util/merr"
|
|
)
|
|
|
|
type GeminiClient struct {
|
|
apiKey string
|
|
}
|
|
|
|
func NewGeminiClient(apiKey string) (*GeminiClient, error) {
|
|
if apiKey == "" {
|
|
return nil, merr.WrapErrParameterInvalidMsg("missing credentials config or configure the %s environment variable in the Milvus service", models.GeminiAKEnvStr)
|
|
}
|
|
return &GeminiClient{
|
|
apiKey: apiKey,
|
|
}, nil
|
|
}
|
|
|
|
func (c *GeminiClient) headers() map[string]string {
|
|
return map[string]string{
|
|
"Content-Type": "application/json",
|
|
"x-goog-api-key": c.apiKey,
|
|
}
|
|
}
|
|
|
|
func (c *GeminiClient) Embedding(url string, modelName string, texts []string, dim int, taskType string, timeoutMs int64) (*EmbeddingResponse, error) {
|
|
modelName = strings.TrimPrefix(modelName, "models/")
|
|
requests := make([]BatchEmbedRequest, 0, len(texts))
|
|
for _, text := range texts {
|
|
req := BatchEmbedRequest{
|
|
Model: "models/" + modelName,
|
|
Content: Content{
|
|
Parts: []Part{{Text: text}},
|
|
},
|
|
}
|
|
if taskType != "" {
|
|
req.TaskType = taskType
|
|
}
|
|
if dim > 0 {
|
|
req.OutputDimensionality = dim
|
|
}
|
|
requests = append(requests, req)
|
|
}
|
|
|
|
batchReq := BatchEmbeddingRequest{
|
|
Requests: requests,
|
|
}
|
|
|
|
res, err := models.PostRequest[EmbeddingResponse](batchReq, url, c.headers(), timeoutMs)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return res, nil
|
|
}
|
|
|
|
// Request types
|
|
|
|
type Part struct {
|
|
Text string `json:"text"`
|
|
}
|
|
|
|
type Content struct {
|
|
Parts []Part `json:"parts"`
|
|
}
|
|
|
|
type BatchEmbedRequest struct {
|
|
Model string `json:"model"`
|
|
Content Content `json:"content"`
|
|
TaskType string `json:"taskType,omitempty"`
|
|
OutputDimensionality int `json:"outputDimensionality,omitempty"`
|
|
}
|
|
|
|
type BatchEmbeddingRequest struct {
|
|
Requests []BatchEmbedRequest `json:"requests"`
|
|
}
|
|
|
|
// Response types
|
|
|
|
type EmbeddingValues struct {
|
|
Values []float32 `json:"values"`
|
|
}
|
|
|
|
type EmbeddingResponse struct {
|
|
Embeddings []EmbeddingValues `json:"embeddings"`
|
|
}
|