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feat: add azure embedding to ai-cache (#1975)
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@@ -4,10 +4,12 @@ import (
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"encoding/json"
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"errors"
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"fmt"
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"github.com/alibaba/higress/plugins/wasm-go/pkg/wrapper"
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"github.com/tidwall/gjson"
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"net/http"
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"strconv"
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"github.com/alibaba/higress/plugins/wasm-go/pkg/log"
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"github.com/alibaba/higress/plugins/wasm-go/pkg/wrapper"
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"github.com/tidwall/gjson"
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)
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const (
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@@ -69,7 +71,7 @@ type ollamaEmbeddingRequest struct {
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Model string `json:"model"`
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}
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func (t *ollamaProvider) constructParameters(text string, log wrapper.Log) (string, [][2]string, []byte, error) {
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func (t *ollamaProvider) constructParameters(text string) (string, [][2]string, []byte, error) {
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if text == "" {
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err := errors.New("queryString text cannot be empty")
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return "", nil, nil, err
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@@ -105,9 +107,8 @@ func (t *ollamaProvider) parseTextEmbedding(responseBody []byte) (*ollamaRespons
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func (t *ollamaProvider) GetEmbedding(
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queryString string,
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ctx wrapper.HttpContext,
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log wrapper.Log,
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callback func(emb []float64, err error)) error {
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embUrl, embHeaders, embRequestBody, err := t.constructParameters(queryString, log)
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embUrl, embHeaders, embRequestBody, err := t.constructParameters(queryString)
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if err != nil {
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log.Errorf("failed to construct parameters: %v", err)
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return err
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