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150
internal/client/llm.go
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150
internal/client/llm.go
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@@ -0,0 +1,150 @@
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package client
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"net/http"
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"strings"
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"github.com/fjurmanovic/sugarr/internal/model"
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"github.com/fjurmanovic/sugarr/internal/utl/configs"
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)
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type LLMClient struct {
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baseURL string
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apiKey string
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model string
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http *http.Client
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}
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func NewLLMClient(cfg *configs.Config) *LLMClient {
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return &LLMClient{
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baseURL: cfg.LLMBaseURL,
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apiKey: cfg.LLMAPIKey,
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model: cfg.LLMModel,
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http: &http.Client{},
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}
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}
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type chatRequest struct {
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Model string `json:"model"`
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Messages []chatMessage `json:"messages"`
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}
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type chatMessage struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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type chatResponse struct {
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Choices []struct {
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Message chatMessage `json:"message"`
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} `json:"choices"`
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}
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func (c *LLMClient) Recommend(prompt string) ([]model.MovieSuggestion, error) {
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payload := chatRequest{
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Model: c.model,
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Messages: []chatMessage{{Role: "user", Content: prompt}},
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}
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body, err := json.Marshal(payload)
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if err != nil {
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return nil, err
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}
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req, err := http.NewRequest(http.MethodPost, c.baseURL+"/chat/completions", bytes.NewReader(body))
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if err != nil {
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return nil, err
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}
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Accept", "application/json")
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if c.apiKey != "" {
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req.Header.Set("Authorization", "Bearer "+c.apiKey)
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}
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resp, err := c.http.Do(req)
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if err != nil {
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return nil, fmt.Errorf("llm request failed: %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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return nil, fmt.Errorf("llm returned status %d", resp.StatusCode)
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}
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var chatResp chatResponse
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if err := json.NewDecoder(resp.Body).Decode(&chatResp); err != nil {
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return nil, fmt.Errorf("decoding llm response: %w", err)
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}
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if len(chatResp.Choices) == 0 {
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return nil, fmt.Errorf("llm returned no choices")
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}
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return parseMovieSuggestions(chatResp.Choices[0].Message.Content)
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}
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// parseMovieSuggestions extracts a JSON array from LLM output,
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// handling markdown code fences and surrounding prose.
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func parseMovieSuggestions(content string) ([]model.MovieSuggestion, error) {
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content = strings.TrimSpace(content)
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// Strip markdown fences
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if idx := strings.Index(content, "```"); idx != -1 {
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content = content[idx:]
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content = strings.TrimPrefix(content, "```json")
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content = strings.TrimPrefix(content, "```")
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if end := strings.Index(content, "```"); end != -1 {
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content = content[:end]
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}
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content = strings.TrimSpace(content)
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}
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// Find JSON array boundaries
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start := strings.Index(content, "[")
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end := strings.LastIndex(content, "]")
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if start == -1 || end == -1 || end <= start {
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return nil, fmt.Errorf("no JSON array found in llm response: %s", content)
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}
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var suggestions []model.MovieSuggestion
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if err := json.Unmarshal([]byte(content[start:end+1]), &suggestions); err != nil {
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return nil, fmt.Errorf("parsing llm json: %w", err)
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}
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return suggestions, nil
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}
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// BuildPrompt constructs the recommendation prompt sent to the LLM.
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func BuildPrompt(favorites, watched, library []model.Movie, count int) string {
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var sb strings.Builder
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sb.WriteString(fmt.Sprintf(
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"You are a movie recommendation engine. Based on the user's favorite and recently watched movies below, suggest exactly %d movies they would enjoy.\n\n"+
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"IMPORTANT:\n"+
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"- Do NOT suggest any movie from the \"Already In Library\" list.\n"+
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"- Return ONLY a JSON array, no other text.\n"+
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"- Each entry: {\"title\": \"Movie Title\", \"year\": 2024, \"reason\": \"brief reason\"}\n\n"+
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"User's favorite movies:\n", count))
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if len(favorites) == 0 {
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sb.WriteString("(none)\n")
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} else {
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for _, m := range favorites {
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sb.WriteString(fmt.Sprintf("- %s (%d)\n", m.Name, m.Year))
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}
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}
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sb.WriteString("\nUser's recently watched movies:\n")
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if len(watched) == 0 {
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sb.WriteString("(none)\n")
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} else {
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for _, m := range watched {
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sb.WriteString(fmt.Sprintf("- %s (%d)\n", m.Name, m.Year))
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}
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}
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sb.WriteString("\nAlready in library (DO NOT suggest these):\n")
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for _, m := range library {
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sb.WriteString(fmt.Sprintf("- %s (%d)\n", m.Name, m.Year))
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}
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return sb.String()
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}
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