mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-07-01 08:15:44 +08:00
daa3811165
### What problem does this PR solve? The Go model-driver layer () has ~38,700 lines across 109 files. Roughly 74% of that is boilerplate duplicated into every driver: identical HTTP client setup, the same 65-line SSE scanner loop, and 10-11 one-line "not supported" stub methods per driver. Any fix must be manually propagated to every file. Closes #15820. This PR establishes the three shared utility files that form the foundation for incremental driver migration: --- ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring --------- Co-authored-by: Haruko386 <tryeverypossible@163.com>
651 lines
18 KiB
Go
651 lines
18 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package models
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"strings"
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"sync"
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"time"
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)
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// localAIStreamIdleTimeout bounds how long ChatStreamlyWithSender
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var localAIStreamIdleTimeout = 60 * time.Second
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// LocalAIModel implements ModelDriver for LocalAI
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type LocalAIModel struct {
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baseModel BaseModel
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}
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// NewLocalAIModel creates a new LocalAI model instance
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func NewLocalAIModel(baseURL map[string]string, urlSuffix URLSuffix) *LocalAIModel {
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return &LocalAIModel{
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baseModel: BaseModel{
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BaseURL: baseURL,
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URLSuffix: urlSuffix,
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AllowEmptyAPIKey: true,
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httpClient: NewDriverHTTPClient(),
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},
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}
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}
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func (l *LocalAIModel) NewInstance(baseURL map[string]string) ModelDriver {
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return NewLocalAIModel(baseURL, l.baseModel.URLSuffix)
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}
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func (l *LocalAIModel) Name() string {
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return "localai"
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}
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var localAIReasoningFields = []string{"reasoning_content", "reasoning", "thinking"}
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func extractLocalAIReasoning(m map[string]interface{}) string {
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for _, k := range localAIReasoningFields {
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if v, ok := m[k].(string); ok && v != "" {
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return v
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}
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}
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return ""
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}
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func addLocalAIReasoningRequestParams(reqBody map[string]interface{}, cfg *ChatConfig) {
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if cfg == nil {
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return
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}
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if cfg.Effort != nil && *cfg.Effort != "" {
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reqBody["reasoning_effort"] = *cfg.Effort
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}
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if cfg.Thinking != nil {
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reqBody["enable_thinking"] = *cfg.Thinking
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}
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}
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// ChatWithMessages sends multiple messages with roles and returns the response.
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func (l *LocalAIModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
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if err := l.baseModel.APIConfigCheck(apiConfig); err != nil {
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return nil, err
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}
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if len(messages) == 0 {
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return nil, fmt.Errorf("messages is empty")
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}
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baseURL, err := l.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Chat)
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apiMessages := make([]map[string]interface{}, len(messages))
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for i, msg := range messages {
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apiMessages[i] = map[string]interface{}{
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"role": msg.Role,
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"content": msg.Content,
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}
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}
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reqBody := map[string]interface{}{
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"model": modelName,
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"messages": apiMessages,
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"stream": false,
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}
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if chatModelConfig != nil {
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if chatModelConfig.MaxTokens != nil {
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reqBody["max_tokens"] = *chatModelConfig.MaxTokens
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}
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if chatModelConfig.Temperature != nil {
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reqBody["temperature"] = *chatModelConfig.Temperature
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}
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if chatModelConfig.TopP != nil {
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reqBody["top_p"] = *chatModelConfig.TopP
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}
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if chatModelConfig.Stop != nil {
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reqBody["stop"] = *chatModelConfig.Stop
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}
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addLocalAIReasoningRequestParams(reqBody, chatModelConfig)
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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if auth := BearerAuth(apiConfig); auth != "" {
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req.Header.Set("Authorization", auth)
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}
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resp, err := l.baseModel.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
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}
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var result map[string]interface{}
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if err = json.Unmarshal(body, &result); err != nil {
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return nil, fmt.Errorf("failed to parse response: %w", err)
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}
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choices, ok := result["choices"].([]interface{})
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if !ok || len(choices) == 0 {
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return nil, fmt.Errorf("no choices in response")
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}
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firstChoice, ok := choices[0].(map[string]interface{})
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if !ok {
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return nil, fmt.Errorf("invalid choice format")
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}
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messageMap, ok := firstChoice["message"].(map[string]interface{})
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if !ok {
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return nil, fmt.Errorf("invalid message format")
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}
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content, ok := messageMap["content"].(string)
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if !ok {
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return nil, fmt.Errorf("invalid content format")
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}
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// Pull the chain-of-thought from whichever field the upstream model
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// used. See localAIReasoningFields for the priority order.
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reasonContent := extractLocalAIReasoning(messageMap)
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return &ChatResponse{
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Answer: &content,
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ReasonContent: &reasonContent,
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}, nil
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}
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// ChatStreamlyWithSender sends messages and streams the response via the
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// sender function. The LocalAI SSE stream uses the same shape as OpenAI:
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// "data:" lines carrying JSON events, with a final "[DONE]" line.
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func (l *LocalAIModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, sender func(*string, *string) error) error {
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if err := l.baseModel.APIConfigCheck(apiConfig); err != nil {
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return err
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}
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if sender == nil {
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return fmt.Errorf("sender is required")
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}
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if len(messages) == 0 {
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return fmt.Errorf("messages is empty")
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}
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baseURL, err := l.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Chat)
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apiMessages := make([]map[string]interface{}, len(messages))
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for i, msg := range messages {
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apiMessages[i] = map[string]interface{}{
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"role": msg.Role,
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"content": msg.Content,
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}
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}
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reqBody := map[string]interface{}{
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"model": modelName,
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"messages": apiMessages,
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"stream": true,
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}
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if chatModelConfig != nil {
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if chatModelConfig.Stream != nil && !*chatModelConfig.Stream {
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return fmt.Errorf("stream must be true in ChatStreamlyWithSender")
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}
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if chatModelConfig.MaxTokens != nil {
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reqBody["max_tokens"] = *chatModelConfig.MaxTokens
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}
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if chatModelConfig.Temperature != nil {
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reqBody["temperature"] = *chatModelConfig.Temperature
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}
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if chatModelConfig.TopP != nil {
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reqBody["top_p"] = *chatModelConfig.TopP
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}
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if chatModelConfig.Stop != nil {
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reqBody["stop"] = *chatModelConfig.Stop
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}
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addLocalAIReasoningRequestParams(reqBody, chatModelConfig)
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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if auth := BearerAuth(apiConfig); auth != "" {
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req.Header.Set("Authorization", auth)
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}
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resp, err := l.baseModel.httpClient.Do(req)
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if err != nil {
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return fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(resp.Body)
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return fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
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}
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lastActive := time.Now()
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var lastActiveMu sync.Mutex
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done := make(chan struct{})
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defer close(done)
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go func() {
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ticker := time.NewTicker(localAIStreamIdleTimeout / 4)
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defer ticker.Stop()
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for {
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select {
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case <-done:
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return
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case now := <-ticker.C:
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lastActiveMu.Lock()
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idle := now.Sub(lastActive)
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lastActiveMu.Unlock()
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if idle >= localAIStreamIdleTimeout {
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cancel()
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return
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}
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}
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}
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}()
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sawTerminal := false
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streamDone, err := ParseSSEStream[map[string]interface{}](resp.Body, func(event map[string]interface{}) error {
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lastActiveMu.Lock()
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lastActive = time.Now()
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lastActiveMu.Unlock()
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choices, ok := event["choices"].([]interface{})
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if !ok || len(choices) == 0 {
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return nil
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}
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firstChoice, ok := choices[0].(map[string]interface{})
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if !ok {
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return nil
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}
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delta, ok := firstChoice["delta"].(map[string]interface{})
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if !ok {
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return nil
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}
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if reasoning := extractLocalAIReasoning(delta); reasoning != "" {
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if err := sender(nil, &reasoning); err != nil {
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return err
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}
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}
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content, ok := delta["content"].(string)
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if ok && content != "" {
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if err := sender(&content, nil); err != nil {
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return err
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}
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}
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finishReason, ok := firstChoice["finish_reason"].(string)
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if ok && finishReason != "" {
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sawTerminal = true
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}
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return nil
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})
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if err != nil {
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if ctx.Err() != nil {
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return fmt.Errorf("localai: stream idle for more than %s, aborted", localAIStreamIdleTimeout)
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}
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return fmt.Errorf("failed to scan response body: %w", err)
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}
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if !streamDone && !sawTerminal {
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return fmt.Errorf("localai: stream ended before [DONE] or finish_reason")
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}
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endOfStream := "[DONE]"
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if err := sender(&endOfStream, nil); err != nil {
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return err
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}
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return nil
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}
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type localAIEmbeddingData struct {
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Embedding []float64 `json:"embedding"`
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Object string `json:"object"`
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Index int `json:"index"`
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}
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type localAIEmbeddingResponse struct {
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Data []localAIEmbeddingData `json:"data"`
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Model string `json:"model"`
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Object string `json:"object"`
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}
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func (l *LocalAIModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
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if err := l.baseModel.APIConfigCheck(apiConfig); err != nil {
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return nil, err
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}
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if len(texts) == 0 {
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return []EmbeddingData{}, nil
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}
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if modelName == nil || *modelName == "" {
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return nil, fmt.Errorf("model name is required")
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}
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baseURL, err := l.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Embedding)
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reqBody := map[string]interface{}{
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"model": *modelName,
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"input": texts,
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}
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if embeddingConfig != nil && embeddingConfig.Dimension > 0 {
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reqBody["dimensions"] = embeddingConfig.Dimension
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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if auth := BearerAuth(apiConfig); auth != "" {
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req.Header.Set("Authorization", auth)
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}
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resp, err := l.baseModel.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("LocalAI embeddings API error: %s, body: %s", resp.Status, string(body))
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}
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var parsed localAIEmbeddingResponse
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if err = json.Unmarshal(body, &parsed); err != nil {
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return nil, fmt.Errorf("failed to parse response: %w", err)
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}
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embeddings := make([]EmbeddingData, len(texts))
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filled := make([]bool, len(texts))
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for _, item := range parsed.Data {
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if item.Index < 0 || item.Index >= len(texts) {
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return nil, fmt.Errorf("localai: response index %d out of range for %d inputs", item.Index, len(texts))
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}
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if filled[item.Index] {
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return nil, fmt.Errorf("localai: duplicate embedding index %d in response", item.Index)
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}
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embeddings[item.Index] = EmbeddingData{
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Embedding: item.Embedding,
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Index: item.Index,
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}
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filled[item.Index] = true
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}
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for i, ok := range filled {
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if !ok {
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return nil, fmt.Errorf("localai: missing embedding for input index %d", i)
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}
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}
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return embeddings, nil
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}
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type localAIRerankRequest struct {
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Model string `json:"model"`
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Query string `json:"query"`
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Documents []string `json:"documents"`
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TopN int `json:"top_n"`
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}
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type localAIRerankResponse struct {
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Results []struct {
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Index int `json:"index"`
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RelevanceScore float64 `json:"relevance_score"`
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} `json:"results"`
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}
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func (l *LocalAIModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
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if err := l.baseModel.APIConfigCheck(apiConfig); err != nil {
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return nil, err
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}
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if len(documents) == 0 {
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return &RerankResponse{}, nil
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}
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if modelName == nil || *modelName == "" {
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return nil, fmt.Errorf("model name is required")
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}
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baseURL, err := l.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Rerank)
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topN := len(documents)
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if rerankConfig != nil && rerankConfig.TopN > 0 {
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topN = rerankConfig.TopN
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}
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reqBody := localAIRerankRequest{
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Model: *modelName,
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Query: query,
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Documents: documents,
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TopN: topN,
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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if auth := BearerAuth(apiConfig); auth != "" {
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req.Header.Set("Authorization", auth)
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}
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resp, err := l.baseModel.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
|
|
return nil, fmt.Errorf("LocalAI rerank API error: %s, body: %s", resp.Status, string(body))
|
|
}
|
|
|
|
var parsed localAIRerankResponse
|
|
if err = json.Unmarshal(body, &parsed); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
|
|
rerankResponse := &RerankResponse{}
|
|
for _, r := range parsed.Results {
|
|
if r.Index < 0 || r.Index >= len(documents) {
|
|
return nil, fmt.Errorf("localai: rerank result index %d out of range for %d documents", r.Index, len(documents))
|
|
}
|
|
rerankResponse.Data = append(rerankResponse.Data, RerankResult{
|
|
Index: r.Index,
|
|
RelevanceScore: r.RelevanceScore,
|
|
})
|
|
}
|
|
|
|
return rerankResponse, nil
|
|
}
|
|
|
|
func (l *LocalAIModel) ListModels(apiConfig *APIConfig) ([]ListModelResponse, error) {
|
|
if err := l.baseModel.APIConfigCheck(apiConfig); err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
baseURL, err := l.baseModel.GetBaseURL(apiConfig)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), l.baseModel.URLSuffix.Models)
|
|
|
|
ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
|
|
defer cancel()
|
|
|
|
req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
if auth := BearerAuth(apiConfig); auth != "" {
|
|
req.Header.Set("Authorization", auth)
|
|
}
|
|
|
|
resp, err := l.baseModel.httpClient.Do(req)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to send request: %w", err)
|
|
}
|
|
defer resp.Body.Close()
|
|
|
|
body, err := io.ReadAll(resp.Body)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to read response: %w", err)
|
|
}
|
|
|
|
if resp.StatusCode != http.StatusOK {
|
|
return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
|
|
}
|
|
|
|
// Parse response
|
|
var modelList ModelList
|
|
if err = json.Unmarshal(body, &modelList); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
if modelList.Models == nil {
|
|
return nil, fmt.Errorf("invalid models list format")
|
|
}
|
|
|
|
return ParseListModel(modelList), nil
|
|
}
|
|
|
|
func (l *LocalAIModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
|
|
return nil, fmt.Errorf("no such method")
|
|
}
|
|
|
|
func (l *LocalAIModel) CheckConnection(apiConfig *APIConfig) error {
|
|
_, err := l.ListModels(apiConfig)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (l *LocalAIModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", l.Name())
|
|
}
|
|
|
|
func (l *LocalAIModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", l.Name())
|
|
}
|
|
|
|
// AudioSpeech convert text to audio
|
|
func (l *LocalAIModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", l.Name())
|
|
}
|
|
|
|
func (l *LocalAIModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", l.Name())
|
|
}
|
|
|
|
func (l *LocalAIModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", l.Name())
|
|
}
|
|
|
|
// ParseFile parse file
|
|
func (l *LocalAIModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", l.Name())
|
|
}
|
|
|
|
func (l *LocalAIModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
|
|
return nil, fmt.Errorf("%s, no such method", l.Name())
|
|
}
|
|
|
|
func (l *LocalAIModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", l.Name())
|
|
}
|