- New provider architecture with common interface - Provider selected via AI_PROVIDER env var (gemini/openai/ollama) - Gemini (default): existing implementation, uses GEMINI_API_KEY - OpenAI-compatible: uses OPENAI_API_KEY + AI_MODEL + AI_BASE_URL - Works with OpenAI, Perplexity, Together AI, Groq, etc. - Ollama: local LLM, uses AI_BASE_URL + AI_MODEL - Supports llava, bakllava, and other vision models - deepseek.go renamed to llm.go (cleanup) - .env.example updated with all AI provider options
132 lines
3.6 KiB
Go
132 lines
3.6 KiB
Go
package ai
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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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"errors"
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"fmt"
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"io"
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"log"
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"net/http"
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"os"
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"strings"
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"time"
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)
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const openaiTimeout = 30 * time.Second
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type openaiRequest struct {
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Model string `json:"model"`
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Messages []openaiMessage `json:"messages"`
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Temperature float64 `json:"temperature"`
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}
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type openaiMessage struct {
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Role string `json:"role"`
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Content []openaiContent `json:"content"`
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}
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type openaiContent struct {
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Type string `json:"type"`
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Text string `json:"text,omitempty"`
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ImageURL *openaiImage `json:"image_url,omitempty"`
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}
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type openaiImage struct {
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URL string `json:"url"`
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}
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type openaiResponse struct {
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Choices []struct {
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Message struct {
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Content string `json:"content"`
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} `json:"message"`
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} `json:"choices"`
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Error *struct {
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Message string `json:"message"`
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} `json:"error,omitempty"`
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}
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type openaiProvider struct{}
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func (p *openaiProvider) ExtractReceipt(imagePath string) (*ReceiptData, error) {
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imageData, err := readFile(imagePath)
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if err != nil {
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return &ReceiptData{}, fmt.Errorf("read file: %w", err)
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}
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mimeType := detectMimeType(imageData)
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if mimeType == "" {
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mimeType = "image/jpeg"
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}
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apiKey := os.Getenv("OPENAI_API_KEY")
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if apiKey == "" {
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return &ReceiptData{}, errors.New("OPENAI_API_KEY environment variable not set")
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}
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baseURL := os.Getenv("AI_BASE_URL")
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if baseURL == "" {
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baseURL = "https://api.openai.com/v1"
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}
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baseURL = strings.TrimRight(baseURL, "/")
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model := os.Getenv("AI_MODEL")
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if model == "" {
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model = "gpt-4o-mini"
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}
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b64Data := base64.StdEncoding.EncodeToString(imageData)
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dataURL := fmt.Sprintf("data:%s;base64,%s", mimeType, b64Data)
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payload := openaiRequest{
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Model: model,
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Temperature: 0.1,
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Messages: []openaiMessage{{
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Role: "user",
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Content: []openaiContent{
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{Type: "text", Text: "Analyze this receipt image. Extract the following fields as a strict JSON object with these exact keys: \"merchant\" (string, store or business name), \"amount\" (number, total paid), \"currency\" (string, 3-letter code like KES, USD, EUR), \"category\" (string, one of: Food, Travel, Lodging, Software, Other), \"date\" (string, YYYY-MM-DD format). Return ONLY valid JSON. No markdown, no explanation, no code fences."},
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{Type: "image_url", ImageURL: &openaiImage{URL: dataURL}},
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},
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}},
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}
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body, _ := json.Marshal(payload)
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apiURL := baseURL + "/chat/completions"
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req, _ := http.NewRequest(http.MethodPost, apiURL, bytes.NewReader(body))
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", "Bearer "+apiKey)
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client := &http.Client{Timeout: openaiTimeout}
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resp, err := client.Do(req)
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if err != nil {
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return &ReceiptData{}, fmt.Errorf("API request: %w", err)
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}
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defer resp.Body.Close()
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respBody, _ := io.ReadAll(resp.Body)
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if resp.StatusCode != http.StatusOK {
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return &ReceiptData{}, fmt.Errorf("API status %d: %s", resp.StatusCode, string(respBody))
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}
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var apiResp openaiResponse
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json.Unmarshal(respBody, &apiResp)
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if apiResp.Error != nil {
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return &ReceiptData{}, fmt.Errorf("API error: %s", apiResp.Error.Message)
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}
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if len(apiResp.Choices) == 0 {
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return &ReceiptData{}, errors.New("no response choices")
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}
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contentStr := stripMarkdownFences(apiResp.Choices[0].Message.Content)
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var receipt ReceiptData
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if err := json.Unmarshal([]byte(contentStr), &receipt); err != nil {
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return &ReceiptData{}, fmt.Errorf("parse JSON: %w (content: %s)", err, contentStr)
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}
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log.Printf("ExtractReceipt [openai-%s]: merchant=%q amount=%.2f %s",
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model, receipt.Merchant, receipt.Amount, receipt.Currency)
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return &receipt, nil
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}
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