mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-06-08 08:07:21 +08:00
### What problem does this PR solve?
This PR implement implement OCR for Baidu and Mistral, implement
PaddleOCR provider and implement ASR for CoHere
**Verified examples from the CLI:**
```
RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
# PaddleOCR
RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke
Nando Metzger
Photogra
Anton Obukhov
Rodrigo Caye Daudt
netry and Remote Sensing,
Shengyu Huang
Konrad Schindler
ETH Zürich
<div style="text-align: c... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
# Cohere
RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}'
+-----------------------------------------------------------------------------------------------------------------------+
| text |
+-----------------------------------------------------------------------------------------------------------------------+
| The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. |
+-----------------------------------------------------------------------------------------------------------------------+
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
796 lines
21 KiB
Go
796 lines
21 KiB
Go
package models
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import (
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"bufio"
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"bytes"
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"context"
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"encoding/base64"
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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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"ragflow/internal/common"
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"strings"
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"time"
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)
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type BaiduModel struct {
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BaseURL map[string]string
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URLSuffix URLSuffix
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httpClient *http.Client
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}
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func (b *BaiduModel) NewInstance(baseURL map[string]string) ModelDriver {
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return &BaiduModel{
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BaseURL: baseURL,
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URLSuffix: b.URLSuffix,
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httpClient: &http.Client{
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Timeout: 120 * time.Second,
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Transport: &http.Transport{
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MaxIdleConns: 10,
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MaxIdleConnsPerHost: 100,
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IdleConnTimeout: 90 * time.Second,
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DisableCompression: false,
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},
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},
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}
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}
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func NewBaiduModel(baseURL map[string]string, urlSuffix URLSuffix) *BaiduModel {
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return &BaiduModel{
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BaseURL: baseURL,
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URLSuffix: urlSuffix,
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httpClient: &http.Client{
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Timeout: 120 * time.Second,
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Transport: &http.Transport{
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MaxConnsPerHost: 10,
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MaxIdleConnsPerHost: 100,
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IdleConnTimeout: 90 * time.Second,
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DisableCompression: false,
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},
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},
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}
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}
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func (b *BaiduModel) Name() string {
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return "baidu"
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}
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func (b *BaiduModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
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if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
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return nil, fmt.Errorf("api key is nil or empty")
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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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var region = "default"
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if apiConfig.Region != nil && *apiConfig.Region != "" {
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region = *apiConfig.Region
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}
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url := fmt.Sprintf("%s/%s", b.BaseURL[region], b.URLSuffix.Chat)
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// Convert messages to API format
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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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// Build request body
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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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"temperature": 1,
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}
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if chatModelConfig != nil {
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if chatModelConfig.Stream != nil {
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reqBody["stream"] = *chatModelConfig.Stream
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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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if chatModelConfig.Thinking != nil {
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lowerModelName := strings.ToLower(modelName)
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// `enable_think` for qwen and erine
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if strings.HasPrefix(lowerModelName, "qwen") || strings.HasPrefix(lowerModelName, "ernie") {
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reqBody["enable_thinking"] = *chatModelConfig.Thinking
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} else {
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if *chatModelConfig.Thinking {
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thinkingFlag := "enabled"
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if strings.Contains(lowerModelName, "deepseek-v4") {
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effort := "high"
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if chatModelConfig.Effort != nil {
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effort = *chatModelConfig.Effort
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}
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switch effort {
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case "none", "low", "medium":
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thinkingFlag = "disabled"
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case "high", "default":
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thinkingFlag = "enabled"
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reqBody["reasoning_effort"] = "high"
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case "max":
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thinkingFlag = "enabled"
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reqBody["reasoning_effort"] = "max"
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default:
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thinkingFlag = "enabled"
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reqBody["reasoning_effort"] = effort
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}
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}
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reqBody["thinking"] = map[string]interface{}{
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"type": thinkingFlag,
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}
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} else {
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reqBody["thinking"] = map[string]interface{}{
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"type": "disabled",
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}
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}
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}
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}
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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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req, err := http.NewRequest("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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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := b.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 body: %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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// Parse response
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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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var reasonContent string
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if chatModelConfig != nil && chatModelConfig.Thinking != nil && *chatModelConfig.Thinking {
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reasonContent, ok = messageMap["reasoning_content"].(string)
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if !ok {
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return nil, fmt.Errorf("invalid reasoning content format")
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}
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// if first char of reasonContent is \n remove the '\n'
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if reasonContent != "" && reasonContent[0] == '\n' {
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reasonContent = reasonContent[1:]
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}
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}
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chatResponse := &ChatResponse{
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Answer: &content,
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ReasonContent: &reasonContent,
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}
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return chatResponse, nil
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}
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func (b *BaiduModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, sender func(*string, *string) error) error {
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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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var region = "default"
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if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
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region = *apiConfig.Region
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}
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url := fmt.Sprintf("%s/%s", strings.TrimSuffix(b.BaseURL[region], "/"), b.URLSuffix.Chat)
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// Convert messages to API format
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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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// Build request body with streaming enabled
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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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"temperature": 1,
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}
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if modelConfig != nil {
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if modelConfig.Stream != nil {
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reqBody["stream"] = *modelConfig.Stream
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}
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if modelConfig.MaxTokens != nil {
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reqBody["max_tokens"] = *modelConfig.MaxTokens
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}
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if modelConfig.Temperature != nil {
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reqBody["temperature"] = *modelConfig.Temperature
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}
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if modelConfig.DoSample != nil {
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reqBody["do_sample"] = *modelConfig.DoSample
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}
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if modelConfig.TopP != nil {
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reqBody["top_p"] = *modelConfig.TopP
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}
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if modelConfig.Stop != nil {
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reqBody["stop"] = *modelConfig.Stop
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}
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if modelConfig.Thinking != nil {
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lowerModelName := strings.ToLower(modelName)
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// `enable_think` for qwen and erine
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if strings.HasPrefix(lowerModelName, "qwen") || strings.HasPrefix(lowerModelName, "ernie") {
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reqBody["enable_thinking"] = *modelConfig.Thinking
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} else {
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if *modelConfig.Thinking {
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thinkingFlag := "enabled"
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if strings.Contains(lowerModelName, "deepseek-v4") {
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effort := "high"
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if modelConfig.Effort != nil {
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effort = *modelConfig.Effort
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}
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switch effort {
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case "none", "low", "medium":
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thinkingFlag = "disabled"
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case "high", "default":
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thinkingFlag = "enabled"
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reqBody["reasoning_effort"] = "high"
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case "max":
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thinkingFlag = "enabled"
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reqBody["reasoning_effort"] = "max"
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default:
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thinkingFlag = "enabled"
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reqBody["reasoning_effort"] = effort
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}
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}
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reqBody["thinking"] = map[string]interface{}{
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"type": thinkingFlag,
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}
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} else {
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reqBody["thinking"] = map[string]interface{}{
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"type": "disabled",
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}
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}
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}
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}
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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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req, err := http.NewRequest("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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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := b.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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// SSE parsing: read line by line
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scanner := bufio.NewScanner(resp.Body)
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for scanner.Scan() {
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line := scanner.Text()
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common.Info(line)
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// SSE data line starts with "data:"
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if !strings.HasPrefix(line, "data:") {
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continue
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}
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// Extract JSON after "data:"
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data := strings.TrimSpace(line[5:])
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// [DONE] marks the end of stream
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if data == "[DONE]" {
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break
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}
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// Parse the JSON event
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var event map[string]interface{}
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if err = json.Unmarshal([]byte(data), &event); err != nil {
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continue
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}
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choices, ok := event["choices"].([]interface{})
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if !ok || len(choices) == 0 {
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continue
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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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continue
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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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continue
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}
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reasoningContent, ok := delta["reasoning_content"].(string)
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if ok && reasoningContent != "" {
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if err = sender(nil, &reasoningContent); 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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break
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}
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}
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// Send [DONE] marker for OpenAI compatibility
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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 scanner.Err()
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}
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type baiduEmbeddingResponse struct {
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ID string `json:"id"`
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Object string `json:"object"`
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Created int64 `json:"created"`
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Data []baiduEmbeddingData `json:"data"`
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Model string `json:"model"`
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Usage baiduUsage `json:"usage"`
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}
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type baiduEmbeddingData struct {
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Object string `json:"object"`
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Embedding []float64 `json:"embedding"`
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Index *int `json:"index"`
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}
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type baiduUsage struct {
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PromptTokens int `json:"prompt_tokens"`
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TotalTokens int `json:"total_tokens"`
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}
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func (b *BaiduModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
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if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
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return nil, fmt.Errorf("api key is required")
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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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if len(texts) == 0 {
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return []EmbeddingData{}, nil
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}
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var region = "default"
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if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
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region = *apiConfig.Region
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}
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url := fmt.Sprintf("%s/%s", b.BaseURL[region], b.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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req, err := http.NewRequest("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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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := b.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("Baidu embedding API error: status %d, body: %s", resp.StatusCode, string(body))
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}
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var parsed baiduEmbeddingResponse
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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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if len(parsed.Data) != len(texts) {
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return nil, fmt.Errorf("expected %d embeddings, got %d", len(texts), len(parsed.Data))
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}
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embeddings := make([]EmbeddingData, len(texts))
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seen := make([]bool, len(texts))
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for _, item := range parsed.Data {
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if item.Index == nil {
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return nil, fmt.Errorf("missing index field in embedding item")
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}
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idx := *item.Index
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if idx < 0 || idx >= len(texts) {
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return nil, fmt.Errorf("embedding index %d out of range", idx)
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}
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if seen[idx] {
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return nil, fmt.Errorf("duplicate embedding index %d", idx)
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}
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if len(item.Embedding) == 0 {
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return nil, fmt.Errorf("empty embedding at index %d", idx)
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}
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seen[idx] = true
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embeddings[idx] = EmbeddingData{
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Embedding: item.Embedding,
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|
Index: idx,
|
|
}
|
|
}
|
|
|
|
for i, ok := range seen {
|
|
if !ok {
|
|
return nil, fmt.Errorf("missing embedding index %d", i)
|
|
}
|
|
}
|
|
|
|
return embeddings, nil
|
|
}
|
|
|
|
func (b *BaiduModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
|
|
if len(documents) == 0 {
|
|
return &RerankResponse{}, nil
|
|
}
|
|
|
|
var region = "default"
|
|
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(b.BaseURL[region], "/"), b.URLSuffix.Rerank)
|
|
|
|
var topN = rerankConfig.TopN
|
|
if rerankConfig.TopN == 0 {
|
|
topN = len(documents)
|
|
}
|
|
|
|
reqBody := map[string]interface{}{
|
|
"model": *modelName,
|
|
"query": query,
|
|
"documents": documents,
|
|
"top_n": topN,
|
|
}
|
|
|
|
jsonData, err := json.Marshal(reqBody)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to marshal request: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
|
|
|
|
resp, err := b.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("Baidu rerank API error: status %d, body: %s", resp.StatusCode, string(body))
|
|
}
|
|
|
|
var rerankResp struct {
|
|
Results []struct {
|
|
Index int `json:"index"`
|
|
RelevanceScore float64 `json:"relevance_score"`
|
|
} `json:"results"`
|
|
}
|
|
|
|
if err = json.Unmarshal(body, &rerankResp); err != nil {
|
|
return nil, fmt.Errorf("failed to decode response: %w", err)
|
|
}
|
|
|
|
var rerankResponse RerankResponse
|
|
for _, result := range rerankResp.Results {
|
|
rerankResult := RerankResult{
|
|
Index: result.Index,
|
|
RelevanceScore: result.RelevanceScore,
|
|
}
|
|
rerankResponse.Data = append(rerankResponse.Data, rerankResult)
|
|
}
|
|
|
|
return &rerankResponse, nil
|
|
}
|
|
|
|
// TranscribeAudio transcribe audio
|
|
func (b *BaiduModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", b.Name())
|
|
}
|
|
|
|
func (z *BaiduModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
// AudioSpeech convert text to audio
|
|
func (b *BaiduModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", b.Name())
|
|
}
|
|
|
|
func (z *BaiduModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
// OCRFile OCR file
|
|
type qianfanOCRResponse struct {
|
|
Id string `json:"id"`
|
|
Result struct {
|
|
LayoutParsingResults []struct {
|
|
Markdown struct {
|
|
Text string `json:"text"`
|
|
} `json:"markdown"`
|
|
} `json:"layoutParsingResults"`
|
|
} `json:"result"`
|
|
}
|
|
|
|
func (b *BaiduModel) OCRFile(modelName *string, content []byte, fileURL *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
|
|
if (fileURL == nil || *fileURL == "") && (content == nil || len(content) == 0) {
|
|
return nil, fmt.Errorf("image url or content is required")
|
|
}
|
|
|
|
region := "default"
|
|
if apiConfig.Region != nil && *apiConfig.Region != "" {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
url := fmt.Sprintf("%s/%s", b.BaseURL[region], b.URLSuffix.OCR)
|
|
|
|
reqData := map[string]interface{}{
|
|
"model": *modelName,
|
|
}
|
|
|
|
if fileURL != nil && *fileURL != "" {
|
|
reqData["file"] = *fileURL
|
|
if strings.HasSuffix(strings.ToLower(*fileURL), ".pdf") {
|
|
reqData["fileType"] = 0 // PDF
|
|
} else {
|
|
reqData["fileType"] = 1 // img
|
|
}
|
|
} else if content != nil && len(content) > 0 {
|
|
reqData["file"] = base64.StdEncoding.EncodeToString(content)
|
|
|
|
mimeType := http.DetectContentType(content)
|
|
if strings.Contains(mimeType, "pdf") {
|
|
reqData["fileType"] = 0 // PDF
|
|
} else {
|
|
reqData["fileType"] = 1 // img
|
|
}
|
|
}
|
|
|
|
jsonData, err := json.Marshal(reqData)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to marshal json payload: %w", err)
|
|
}
|
|
|
|
ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
|
|
defer cancel()
|
|
|
|
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
|
|
|
|
resp, err := b.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 error: %s, body: %s", resp.Status, string(body))
|
|
}
|
|
|
|
var apiResponse qianfanOCRResponse
|
|
if err = json.Unmarshal(body, &apiResponse); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response json: %w", err)
|
|
}
|
|
|
|
var extractedText string
|
|
if len(apiResponse.Result.LayoutParsingResults) > 0 {
|
|
extractedText = apiResponse.Result.LayoutParsingResults[0].Markdown.Text
|
|
} else {
|
|
return nil, fmt.Errorf("no parsing results returned from API")
|
|
}
|
|
|
|
var ocrResponse = OCRFileResponse{
|
|
Text: &extractedText,
|
|
}
|
|
|
|
return &ocrResponse, nil
|
|
}
|
|
|
|
func (b *BaiduModel) ListModels(apiConfig *APIConfig) ([]string, error) {
|
|
var region = "default"
|
|
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
url := fmt.Sprintf("%s/%s", b.BaseURL[region], b.URLSuffix.Models)
|
|
|
|
reqBody := map[string]string{}
|
|
|
|
jsonData, err := json.Marshal(reqBody)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to marshal request: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequest("GET", url, bytes.NewBuffer(jsonData))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
|
|
|
|
resp, err := b.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 body: %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 result map[string]interface{}
|
|
if err = json.Unmarshal(body, &result); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
|
|
// convert result["data"] to []map[string]interface{}
|
|
models := make([]string, 0)
|
|
for _, model := range result["data"].([]interface{}) {
|
|
modelMap := model.(map[string]interface{})
|
|
modelName := modelMap["id"].(string)
|
|
models = append(models, modelName)
|
|
}
|
|
|
|
return models, nil
|
|
}
|
|
|
|
func (b *BaiduModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
|
|
return nil, fmt.Errorf(b.Name() + "no such method")
|
|
}
|
|
|
|
func (b *BaiduModel) CheckConnection(apiConfig *APIConfig) error {
|
|
_, err := b.ListModels(apiConfig)
|
|
return err
|
|
}
|
|
|
|
func (z *BaiduModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
|
|
return nil, fmt.Errorf("no such method", z.Name())
|
|
}
|
|
|
|
func (z *BaiduModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
|
|
return nil, fmt.Errorf("no such method", z.Name())
|
|
}
|
|
|
|
func (z *BaiduModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
|
|
return nil, fmt.Errorf("no such method", z.Name())
|
|
}
|