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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

153 lines
4.4 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 huggingface
import (
"encoding/json"
"fmt"
"net/url"
"strings"
"github.com/milvus-io/milvus/internal/util/function/models"
"github.com/milvus-io/milvus/pkg/v3/util/merr"
)
const (
DefaultBaseURL = "https://router.huggingface.co"
DefaultHFProvider = "hf-inference"
FeatureExtractionTask = "feature-extraction"
SentenceSimilarityTask = "sentence-similarity"
)
type Client struct {
apiKey string
baseURL string
}
func NewClient(apiKey string, baseURL string) (*Client, error) {
if apiKey == "" {
return nil, merr.WrapErrParameterInvalidMsg("missing credentials config or configure the MILVUS_HUGGINGFACE_API_KEY environment variable in the Milvus service")
}
if baseURL == "" {
baseURL = DefaultBaseURL
}
if _, err := models.NewBaseURL(baseURL); err != nil {
return nil, err
}
return &Client{
apiKey: apiKey,
baseURL: baseURL,
}, nil
}
func (c *Client) headers() map[string]string {
return map[string]string{
"Content-Type": "application/json",
"Authorization": fmt.Sprintf("Bearer %s", c.apiKey),
}
}
type FeatureExtractionRequest map[string]any
type FeatureExtractionResponse = json.RawMessage
type SentenceSimilarityInputs struct {
SourceSentence string `json:"source_sentence"`
Sentences []string `json:"sentences"`
}
type SentenceSimilarityRequest struct {
Inputs SentenceSimilarityInputs `json:"inputs"`
}
type SentenceSimilarityResponse []float32
func (c *Client) FeatureExtraction(hfProvider string, modelName string, texts []string, params map[string]any, timeoutMs int64) (*FeatureExtractionResponse, error) {
url, err := c.buildPipelineURL(hfProvider, modelName, FeatureExtractionTask)
if err != nil {
return nil, err
}
req := FeatureExtractionRequest{
"inputs": texts,
}
for k, v := range params {
req[k] = v
}
return models.PostRequest[FeatureExtractionResponse](req, url, c.headers(), timeoutMs)
}
func (c *Client) SentenceSimilarity(hfProvider string, modelName string, query string, texts []string, timeoutMs int64) (*SentenceSimilarityResponse, error) {
url, err := c.buildPipelineURL(hfProvider, modelName, SentenceSimilarityTask)
if err != nil {
return nil, err
}
req := SentenceSimilarityRequest{
Inputs: SentenceSimilarityInputs{
SourceSentence: query,
Sentences: texts,
},
}
return models.PostRequest[SentenceSimilarityResponse](req, url, c.headers(), timeoutMs)
}
func (c *Client) buildPipelineURL(hfProvider string, modelName string, task string) (string, error) {
return buildPipelineURL(c.baseURL, hfProvider, modelName, task)
}
func buildPipelineURL(baseURL string, hfProvider string, modelName string, task string) (string, error) {
if hfProvider == "" {
hfProvider = DefaultHFProvider
}
if hfProvider != DefaultHFProvider {
return "", merr.WrapErrParameterInvalidMsg("Hugging Face hf_provider only supports %s", DefaultHFProvider)
}
if err := validateModelName(modelName); err != nil {
return "", err
}
if task == "" {
return "", merr.WrapErrParameterInvalidMsg("Hugging Face pipeline task is required")
}
base, err := models.NewBaseURL(baseURL)
if err != nil {
return "", err
}
prefix := strings.TrimRight(base.Path, "/")
base.Path = fmt.Sprintf("%s/%s/models/%s/pipeline/%s",
prefix,
url.PathEscape(hfProvider),
modelName,
task,
)
return base.String(), nil
}
func validateModelName(modelName string) error {
if modelName == "" {
return merr.WrapErrParameterInvalidMsg("Hugging Face model name is required")
}
parts := strings.Split(modelName, "/")
for _, part := range parts {
if part == "" || part == "." || part == ".." {
return merr.WrapErrParameterInvalidMsg("Hugging Face model name contains invalid path segment")
}
}
return nil
}