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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,163 @@ | ||
| // 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 vertexai | ||
|
|
||
| import ( | ||
| "bytes" | ||
| "context" | ||
| "encoding/json" | ||
| "fmt" | ||
| "net/http" | ||
| "time" | ||
|
|
||
| "github.com/milvus-io/milvus/internal/models/utils" | ||
|
|
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| "golang.org/x/oauth2/google" | ||
| ) | ||
|
|
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| type Instance struct { | ||
| TaskType string `json:"task_type,omitempty"` | ||
| Content string `json:"content"` | ||
| } | ||
|
|
||
| type Parameters struct { | ||
| OutputDimensionality int64 `json:"outputDimensionality,omitempty"` | ||
| } | ||
|
|
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| type EmbeddingRequest struct { | ||
| Instances []Instance `json:"instances"` | ||
| Parameters Parameters `json:"parameters,omitempty"` | ||
| } | ||
|
|
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| type Statistics struct { | ||
| Truncated bool `json:"truncated"` | ||
| TokenCount int `json:"token_count"` | ||
| } | ||
|
|
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| type Embeddings struct { | ||
| Statistics Statistics `json:"statistics"` | ||
| Values []float32 `json:"values"` | ||
| } | ||
|
|
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| type Prediction struct { | ||
| Embeddings Embeddings `json:"embeddings"` | ||
| } | ||
|
|
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| type Metadata struct { | ||
| BillableCharacterCount int `json:"billableCharacterCount"` | ||
| } | ||
|
|
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| type EmbeddingResponse struct { | ||
| Predictions []Prediction `json:"predictions"` | ||
| Metadata Metadata `json:"metadata"` | ||
| } | ||
|
|
||
| type ErrorInfo struct { | ||
| Code string `json:"code"` | ||
| Message string `json:"message"` | ||
| RequestID string `json:"request_id"` | ||
| } | ||
|
|
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| type VertexAIEmbedding struct { | ||
| url string | ||
| jsonKey []byte | ||
| scopes string | ||
| token string | ||
| } | ||
|
|
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| func NewVertexAIEmbedding(url string, jsonKey []byte, scopes string, token string) *VertexAIEmbedding { | ||
| return &VertexAIEmbedding{ | ||
| url: url, | ||
| jsonKey: jsonKey, | ||
| scopes: scopes, | ||
| token: token, | ||
| } | ||
| } | ||
|
|
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| func (c *VertexAIEmbedding) Check() error { | ||
| if c.url == "" { | ||
| return fmt.Errorf("VertexAI embedding url is empty") | ||
| } | ||
| if len(c.jsonKey) == 0 { | ||
| return fmt.Errorf("jsonKey is empty") | ||
| } | ||
| if c.scopes == "" { | ||
| return fmt.Errorf("Scopes param is empty") | ||
| } | ||
| return nil | ||
| } | ||
|
|
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| func (c *VertexAIEmbedding) getAccessToken() (string, error) { | ||
| ctx := context.Background() | ||
| creds, err := google.CredentialsFromJSON(ctx, c.jsonKey, c.scopes) | ||
| if err != nil { | ||
| return "", fmt.Errorf("Failed to find credentials: %v", err) | ||
| } | ||
| token, err := creds.TokenSource.Token() | ||
| if err != nil { | ||
| return "", fmt.Errorf("Failed to get token: %v", err) | ||
| } | ||
| return token.AccessToken, nil | ||
| } | ||
|
|
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| func (c *VertexAIEmbedding) Embedding(modelName string, texts []string, dim int64, taskType string, timeoutSec time.Duration) (*EmbeddingResponse, error) { | ||
| var r EmbeddingRequest | ||
| for _, text := range texts { | ||
| r.Instances = append(r.Instances, Instance{TaskType: taskType, Content: text}) | ||
| } | ||
| if dim != 0 { | ||
| r.Parameters.OutputDimensionality = dim | ||
| } | ||
|
|
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| data, err := json.Marshal(r) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
|
|
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| if timeoutSec <= 0 { | ||
| timeoutSec = 30 | ||
| } | ||
|
|
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| ctx, cancel := context.WithTimeout(context.Background(), timeoutSec*time.Second) | ||
| defer cancel() | ||
| req, err := http.NewRequestWithContext(ctx, http.MethodPost, c.url, bytes.NewBuffer(data)) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
| var token string | ||
| if c.token != "" { | ||
| token = c.token | ||
| } else { | ||
| token, err = c.getAccessToken() | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
| } | ||
|
|
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| req.Header.Set("Content-Type", "application/json") | ||
| req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", token)) | ||
| body, err := utils.RetrySend(req, 3) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
| var res EmbeddingResponse | ||
| err = json.Unmarshal(body, &res) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
| return &res, err | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,90 @@ | ||
| // 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 vertexai | ||
|
|
||
| import ( | ||
| "encoding/json" | ||
| "fmt" | ||
| "net/http" | ||
| "net/http/httptest" | ||
| "testing" | ||
|
|
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| "github.com/stretchr/testify/assert" | ||
| ) | ||
|
|
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| func TestEmbeddingClientCheck(t *testing.T) { | ||
| mockJsonKey := []byte{1, 2, 3} | ||
| { | ||
| c := NewVertexAIEmbedding("mock_url", []byte{}, "mock_scopes", "") | ||
| err := c.Check() | ||
| assert.True(t, err != nil) | ||
| fmt.Println(err) | ||
| } | ||
|
|
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| { | ||
| c := NewVertexAIEmbedding("", mockJsonKey, "", "") | ||
| err := c.Check() | ||
| assert.True(t, err != nil) | ||
| fmt.Println(err) | ||
| } | ||
|
|
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| { | ||
| c := NewVertexAIEmbedding("mock_url", mockJsonKey, "mock_scopes", "") | ||
| err := c.Check() | ||
| assert.True(t, err == nil) | ||
| } | ||
| } | ||
|
|
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| func TestEmbeddingOK(t *testing.T) { | ||
| var res EmbeddingResponse | ||
| repStr := `{"predictions": [{"embeddings": {"statistics": {"truncated": false, "token_count": 4}, "values": [-0.028420744463801384, 0.037183016538619995]}}, {"embeddings": {"statistics": {"truncated": false, "token_count": 8}, "values": [-0.04367655888199806, 0.03777721896767616, 0.0158217903226614]}}], "metadata": {"billableCharacterCount": 27}}` | ||
| err := json.Unmarshal([]byte(repStr), &res) | ||
| assert.NoError(t, err) | ||
| ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { | ||
| w.WriteHeader(http.StatusOK) | ||
| data, _ := json.Marshal(res) | ||
| w.Write(data) | ||
| })) | ||
|
|
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| defer ts.Close() | ||
| url := ts.URL | ||
|
|
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| { | ||
| c := NewVertexAIEmbedding(url, []byte{1, 2, 3}, "mock_scopes", "mock_token") | ||
| err := c.Check() | ||
| assert.True(t, err == nil) | ||
| _, err = c.Embedding("text-embedding-005", []string{"sentence"}, 0, "query", 0) | ||
| assert.True(t, err == nil) | ||
| } | ||
| } | ||
|
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| func TestEmbeddingFailed(t *testing.T) { | ||
| ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { | ||
| w.WriteHeader(http.StatusUnauthorized) | ||
| })) | ||
|
|
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| defer ts.Close() | ||
| url := ts.URL | ||
|
|
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| { | ||
| c := NewVertexAIEmbedding(url, []byte{1, 2, 3}, "mock_scopes", "mock_token") | ||
| err := c.Check() | ||
| assert.True(t, err == nil) | ||
| _, err = c.Embedding("text-embedding-v2", []string{"sentence"}, 0, "query", 0) | ||
| assert.True(t, err != nil) | ||
| } | ||
| } |
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