Files
MeBox/internal/service/ai.go
T
2026-05-28 17:32:55 +08:00

318 lines
9.8 KiB
Go

// Package service — AI integration (OpenAI-compatible chat completions).
//
// AIService is a thin wrapper around any OpenAI-compatible REST endpoint
// (OpenAI, DeepSeek, Qwen, Ollama, …). Today we expose two operations:
//
// - SmartSearch: interpret a free-form Chinese / English query and
// return a normalised JSON intent the React UI can
// translate into filter params.
// - Recommend: given a list of recently-watched titles, generate
// a short list of "you might like…" recommendations.
//
// The service is disabled (every method returns nil) when ai.enabled is
// false or ai.api_key is empty.
package service
import (
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"strings"
"time"
"go.uber.org/zap"
"github.com/ShukeBta/MediaStationGo/internal/config"
)
// AIService talks to an OpenAI-compatible chat-completions endpoint.
type AIService struct {
cfg *config.Config
log *zap.Logger
client *http.Client
apiConfig *APIConfigService
}
// NewAIService is the constructor.
func NewAIService(cfg *config.Config, log *zap.Logger, apiConfig *APIConfigService) *AIService {
timeout := time.Duration(cfg.AI.Timeout) * time.Second
if timeout <= 0 {
timeout = 30 * time.Second
}
return &AIService{
cfg: cfg,
log: log,
apiConfig: apiConfig,
client: NewExternalHTTPClient(timeout),
}
}
// Enabled reports whether the AI integration is configured.
func (a *AIService) Enabled() bool {
return a.cfg.AI.Enabled && strings.TrimSpace(a.cfg.AI.APIKey) != ""
}
// EnabledFor reports whether the AI integration is configured for a request.
func (a *AIService) EnabledFor(ctx context.Context) bool {
return a.resolveRuntimeConfig(ctx).Enabled
}
// AIStatus is returned to the UI for connection-state display.
type AIStatus struct {
Enabled bool `json:"enabled"`
Provider string `json:"provider"`
Model string `json:"model"`
}
// Status resolves live database-backed AI config for the UI.
func (a *AIService) Status(ctx context.Context) AIStatus {
cfg := a.resolveRuntimeConfig(ctx)
return AIStatus{Enabled: cfg.Enabled, Provider: cfg.Provider, Model: cfg.Model}
}
type aiRuntimeConfig struct {
Enabled bool
Provider string
APIBase string
APIKey string
Model string
}
func (a *AIService) resolveRuntimeConfig(ctx context.Context) aiRuntimeConfig {
out := aiRuntimeConfig{
Enabled: a.cfg.AI.Enabled && strings.TrimSpace(a.cfg.AI.APIKey) != "",
Provider: strings.TrimSpace(a.cfg.AI.Provider),
APIBase: strings.TrimSpace(a.cfg.AI.APIBase),
APIKey: strings.TrimSpace(a.cfg.AI.APIKey),
Model: strings.TrimSpace(a.cfg.AI.Model),
}
if out.Provider == "" {
out.Provider = "openai"
}
if out.APIBase == "" {
out.APIBase = "https://api.openai.com/v1"
}
if out.Model == "" {
out.Model = "gpt-4o-mini"
}
if a.apiConfig != nil {
resolved, err := a.apiConfig.Resolve(ctx, "openai")
if err != nil {
if a.log != nil {
a.log.Warn("ai: failed to resolve openai api config", zap.Error(err))
}
return out
}
if resolved.BaseURL != "" {
out.APIBase = strings.TrimSpace(resolved.BaseURL)
}
if resolved.APIKey != "" {
out.APIKey = strings.TrimSpace(resolved.APIKey)
}
if resolved.Enabled && out.APIKey != "" {
out.Enabled = true
out.Provider = "openai"
return out
}
if !resolved.Enabled && (resolved.APIKey != "" || resolved.BaseURL != "" || resolved.Extra != "") {
out.Enabled = false
}
}
return out
}
// SearchIntent is the structured output the smart search endpoint returns.
type SearchIntent struct {
Query string `json:"query"`
Year int `json:"year,omitempty"`
Genre string `json:"genre,omitempty"`
Type string `json:"type,omitempty"` // movie / tv / anime / music
Sort string `json:"sort,omitempty"` // recent / rating / random
Language string `json:"language,omitempty"`
}
// SmartSearch turns a natural-language query into a structured intent.
// Returns a best-effort intent on parse failure (raw query passes through).
func (a *AIService) SmartSearch(ctx context.Context, raw string) (*SearchIntent, error) {
runtime := a.resolveRuntimeConfig(ctx)
if !runtime.Enabled {
return &SearchIntent{Query: raw}, nil
}
const sys = "You are a media-library search assistant. Read the user's query and " +
"output a JSON object with the keys: query (string), year (int, optional), " +
"genre (string, optional), type (movie|tv|anime|music, optional), sort " +
"(recent|rating|random, optional), language (zh|en, optional). Respond with " +
"JSON only, no commentary."
out, err := a.complete(ctx, runtime, sys, raw)
if err != nil {
return &SearchIntent{Query: raw}, err
}
var intent SearchIntent
if err := json.Unmarshal([]byte(out), &intent); err != nil {
// Fallback: tolerate non-JSON output by treating the raw text as
// the cleaned query.
intent.Query = strings.TrimSpace(out)
}
if intent.Query == "" {
intent.Query = raw
}
return &intent, nil
}
// Recommend builds a short comma-separated list of titles given the user's
// history. The first call is intentionally best-effort: a future iteration
// may chain media DB lookups onto each suggestion.
func (a *AIService) Recommend(ctx context.Context, history []string, max int) ([]string, error) {
runtime := a.resolveRuntimeConfig(ctx)
if !runtime.Enabled || len(history) == 0 {
return nil, nil
}
if max <= 0 || max > 20 {
max = 8
}
sys := fmt.Sprintf("You are a film / TV recommendation assistant. Reply with %d "+
"comma-separated titles only, no commentary, in the same language as the input.", max)
usr := "I recently watched: " + strings.Join(history, "; ")
out, err := a.complete(ctx, runtime, sys, usr)
if err != nil {
return nil, err
}
parts := strings.Split(out, ",")
titles := make([]string, 0, len(parts))
for _, p := range parts {
p = strings.TrimSpace(p)
p = strings.Trim(p, "\"'`")
if p != "" {
titles = append(titles, p)
}
}
return titles, nil
}
// complete is the shared helper — POST /v1/chat/completions.
func (a *AIService) complete(ctx context.Context, runtime aiRuntimeConfig, system, user string) (string, error) {
payload := map[string]any{
"model": runtime.Model,
"temperature": 0.2,
"messages": []map[string]string{
{"role": "system", "content": system},
{"role": "user", "content": user},
},
}
body, _ := json.Marshal(payload)
endpoint := strings.TrimRight(runtime.APIBase, "/") + "/chat/completions"
req, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, bytes.NewReader(body))
if err != nil {
return "", err
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+runtime.APIKey)
resp, err := a.client.Do(req)
if err != nil {
return "", err
}
defer resp.Body.Close()
if resp.StatusCode >= 400 {
raw, _ := io.ReadAll(resp.Body)
return "", fmt.Errorf("ai %d: %s", resp.StatusCode, strings.TrimSpace(string(raw)))
}
type choice struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
}
var out struct {
Choices []choice `json:"choices"`
}
if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
return "", err
}
if len(out.Choices) == 0 {
return "", errors.New("ai: empty completion")
}
return strings.TrimSpace(out.Choices[0].Message.Content), nil
}
// ChatTurn is one message in a multi-turn assistant transcript.
type ChatTurn struct {
Role string `json:"role"`
Content string `json:"content"`
}
// Chat sends an entire transcript to the LLM. When the AI is disabled
// we return a deterministic offline reply so the assistant UI still
// has something to render.
func (a *AIService) Chat(ctx context.Context, history []ChatTurn) (string, error) {
runtime := a.resolveRuntimeConfig(ctx)
if !runtime.Enabled || len(history) == 0 {
return offlineReply(history), nil
}
// Build a chat/completions payload preserving the history order.
msgs := make([]map[string]string, 0, len(history)+1)
msgs = append(msgs, map[string]string{
"role": "system",
"content": "You are MediaStationGo's helpful media-library assistant. " +
"Respond concisely in the user's language. " +
"Never invent file paths or media that don't exist.",
})
for _, t := range history {
msgs = append(msgs, map[string]string{"role": t.Role, "content": t.Content})
}
payload := map[string]any{
"model": runtime.Model,
"temperature": 0.4,
"messages": msgs,
}
body, _ := json.Marshal(payload)
endpoint := strings.TrimRight(runtime.APIBase, "/") + "/chat/completions"
req, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, bytes.NewReader(body))
if err != nil {
return "", err
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+runtime.APIKey)
resp, err := a.client.Do(req)
if err != nil {
return "", err
}
defer resp.Body.Close()
if resp.StatusCode >= 400 {
raw, _ := io.ReadAll(resp.Body)
return "", fmt.Errorf("ai %d: %s", resp.StatusCode, strings.TrimSpace(string(raw)))
}
type choice struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
}
var out struct {
Choices []choice `json:"choices"`
}
if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
return "", err
}
if len(out.Choices) == 0 {
return "", errors.New("ai: empty completion")
}
return strings.TrimSpace(out.Choices[0].Message.Content), nil
}
// offlineReply returns a deterministic stand-in response so the UI's
// chat view stays functional when the AI provider is not configured.
func offlineReply(history []ChatTurn) string {
if len(history) == 0 {
return "Hi — AI provider is not configured. Set up OpenAI/DeepSeek in API Configs to chat with me."
}
last := history[len(history)-1].Content
if len(last) > 80 {
last = last[:80] + "…"
}
return "(offline) Heard: " + last + "\n请在 API 配置中接入 LLM 后重试。"
}