code refactor
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package ollama
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import (
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"bytes"
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"encoding/base64"
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"encoding/json"
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"net/http"
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"github.com/mayswind/ezbookkeeping/pkg/core"
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"github.com/mayswind/ezbookkeeping/pkg/errs"
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"github.com/mayswind/ezbookkeeping/pkg/llm/data"
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"github.com/mayswind/ezbookkeeping/pkg/llm/provider"
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"github.com/mayswind/ezbookkeeping/pkg/llm/provider/common"
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"github.com/mayswind/ezbookkeeping/pkg/log"
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"github.com/mayswind/ezbookkeeping/pkg/settings"
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)
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const ollamaChatCompletionsPath = "api/chat"
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// OllamaLargeLanguageModelAdapter defines the structure of Ollama large language model adapter
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type OllamaLargeLanguageModelAdapter struct {
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common.HttpLargeLanguageModelAdapter
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OllamaServerURL string
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OllamaModelID string
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}
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// OllamaMessageRole defines the role of Ollama chat message
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type OllamaMessageRole string
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const (
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OllamaMessageRoleSystem OllamaMessageRole = "system"
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OllamaMessageRoleUser OllamaMessageRole = "user"
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)
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// OllamaChatRequest defines the structure of Ollama chat request
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type OllamaChatRequest struct {
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Model string `json:"model"`
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Stream bool `json:"stream"`
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Messages []*OllamaChatRequestMessage `json:"messages"`
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Format string `json:"format,omitempty"`
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}
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// OllamaChatRequestMessage defines the structure of Ollama chat request message
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type OllamaChatRequestMessage struct {
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Role OllamaMessageRole `json:"role"`
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Content string `json:"content"`
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Images []string `json:"images,omitempty"`
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}
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// OllamaChatResponse defines the structure of Ollama chat response
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type OllamaChatResponse struct {
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Message *OllamaChatResponseMessage `json:"message"`
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}
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// OllamaChatResponseMessage defines the structure of Ollama chat response message
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type OllamaChatResponseMessage struct {
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Content *string `json:"content"`
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}
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// BuildTextualRequest returns the http request by Ollama large language model adapter
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func (p *OllamaLargeLanguageModelAdapter) BuildTextualRequest(c core.Context, uid int64, request *data.LargeLanguageModelRequest, responseType data.LargeLanguageModelResponseFormat) (*http.Request, error) {
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requestBody, err := p.buildJsonRequestBody(c, uid, request, responseType)
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if err != nil {
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return nil, err
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}
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httpRequest, err := http.NewRequest("POST", p.getOllamaRequestUrl(), bytes.NewReader(requestBody))
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if err != nil {
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return nil, err
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}
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httpRequest.Header.Set("Content-Type", "application/json")
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return httpRequest, nil
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}
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// ParseTextualResponse returns the textual response by Ollama large language model adapter
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func (p *OllamaLargeLanguageModelAdapter) ParseTextualResponse(c core.Context, uid int64, body []byte, responseType data.LargeLanguageModelResponseFormat) (*data.LargeLanguageModelTextualResponse, error) {
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chatResponse := &OllamaChatResponse{}
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err := json.Unmarshal(body, &chatResponse)
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if err != nil {
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log.Errorf(c, "[ollama_large_language_model_adapter.ParseTextualResponse] failed to parse chat response for user \"uid:%d\", because %s", uid, err.Error())
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return nil, errs.ErrFailedToRequestRemoteApi
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}
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if chatResponse == nil || chatResponse.Message == nil || chatResponse.Message.Content == nil {
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log.Errorf(c, "[ollama_large_language_model_adapter.ParseTextualResponse] chat response is invalid for user \"uid:%d\"", uid)
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return nil, errs.ErrFailedToRequestRemoteApi
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}
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textualResponse := &data.LargeLanguageModelTextualResponse{
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Content: *chatResponse.Message.Content,
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}
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return textualResponse, nil
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}
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func (p *OllamaLargeLanguageModelAdapter) buildJsonRequestBody(c core.Context, uid int64, request *data.LargeLanguageModelRequest, responseType data.LargeLanguageModelResponseFormat) ([]byte, error) {
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if p.OllamaModelID == "" {
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return nil, errs.ErrInvalidLLMModelId
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}
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chatRequest := &OllamaChatRequest{
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Model: p.OllamaModelID,
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Stream: request.Stream,
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Messages: make([]*OllamaChatRequestMessage, 0, 2),
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}
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if request.SystemPrompt != "" {
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chatRequest.Messages = append(chatRequest.Messages, &OllamaChatRequestMessage{
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Role: OllamaMessageRoleSystem,
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Content: request.SystemPrompt,
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})
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}
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if len(request.UserPrompt) > 0 {
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if request.UserPromptType == data.LARGE_LANGUAGE_MODEL_REQUEST_PROMPT_TYPE_IMAGE_URL {
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imageBase64Data := base64.StdEncoding.EncodeToString(request.UserPrompt)
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chatRequest.Messages = append(chatRequest.Messages, &OllamaChatRequestMessage{
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Role: OllamaMessageRoleUser,
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Images: []string{imageBase64Data},
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})
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} else {
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chatRequest.Messages = append(chatRequest.Messages, &OllamaChatRequestMessage{
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Role: OllamaMessageRoleUser,
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Content: string(request.UserPrompt),
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})
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}
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}
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if responseType == data.LARGE_LANGUAGE_MODEL_RESPONSE_FORMAT_JSON {
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chatRequest.Format = "json"
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}
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requestBodyBytes, err := json.Marshal(chatRequest)
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if err != nil {
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log.Errorf(c, "[ollama_large_language_model_adapter.buildJsonRequestBody] failed to marshal request body for user \"uid:%d\", because %s", uid, err.Error())
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return nil, errs.ErrOperationFailed
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}
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log.Debugf(c, "[ollama_large_language_model_adapter.buildJsonRequestBody] request body is %s", requestBodyBytes)
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return requestBodyBytes, nil
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}
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func (p *OllamaLargeLanguageModelAdapter) getOllamaRequestUrl() string {
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url := p.OllamaServerURL
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if url[len(url)-1] != '/' {
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url += "/"
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}
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url += ollamaChatCompletionsPath
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return url
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}
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// NewOllamaLargeLanguageModelProvider creates a new Ollama large language model provider instance
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func NewOllamaLargeLanguageModelProvider(llmConfig *settings.LLMConfig) provider.LargeLanguageModelProvider {
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return common.NewCommonHttpLargeLanguageModelProvider(&OllamaLargeLanguageModelAdapter{
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OllamaServerURL: llmConfig.OllamaServerURL,
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OllamaModelID: llmConfig.OllamaModelID,
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})
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}
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