Files
MeBox/internal/service/ai.go
T
Kiro 8824638efb feat: hwaccel + Fanart/TheTVDB + AI + Discover + NFO + Tasks + Recycle bin
Backend
  - service/transcoder.go: encoder selector (software / nvenc / qsv /
    vaapi) with proper hwaccel + scale_* filters per encoder; configurable
    bitrate/preset/height/segment-seconds via transcoder.* config; new
    Active() snapshot + ActiveJob struct for the Tasks panel; unit-tested
    via buildFFmpegArgs(...).
  - service/thetvdb.go: TheTVDB v4 provider — login() caches the JWT for
    24h, SearchSeries() returns Match struct.
  - service/fanart.go: Fanart.tv provider — high-res movie artwork keyed
    by TMDb id; used to upgrade poster/backdrop after a successful match.
  - service/scraper.go: provider chain reworked — anime → Bangumi, tv →
    TheTVDB, default → TMDb, with optional Fanart upgrade post-match.
  - service/discover.go: TMDb /trending/movie/day + /movie/popular for
    the Discover rail.
  - service/ai.go: OpenAI-compatible client. SmartSearch() turns a free-
    form query into a structured SearchIntent JSON; Recommend() emits a
    short list of titles given the user's history. Disabled when
    ai.api_key is empty.
  - service/nfo.go: per-movie .nfo writer (Kodi/Jellyfin schema) +
    library-scope batch exporter.
  - service/media.go: SoftDelete / Restore / Purge / ListRecycleBin
    helpers backed by gorm Unscoped().
  - service/service.go: container wires Fanart, TheTVDB, Discover, AI,
    NFO; everything still tears down cleanly via Close().
  - config: new transcoder.* section (encoder, preset, video_bitrate,
    max_rate, buf_size, max_height, segment_seconds) with sensible
    defaults.

Handlers / routes
  - new files: discover.go, recycle.go, nfo.go, ai.go, tasks.go.
  - registers GET /tasks, /discover/{trending,popular},
    /ai/{status,search,recommend}; admin-only GET /recycle and
    DELETE/POST /media/:id (soft delete / restore / purge); admin-only
    POST /media/:id/nfo and /libraries/:id/nfo.

Frontend
  - new pages: DiscoverPage, TasksPage, RecycleBinPage; SearchPage gains
    an optional AI smart-search toggle that calls /api/ai/search.
  - MediaDetailPage gains admin actions for 导出 NFO and 移至回收站.
  - new api/ helpers: ai.ts, discover.ts, recycle.ts, tasks.ts.
  - App.tsx routes /discover, /tasks, /recycle (last two admin-only).
  - Layout sidebar groups now include Discover + Tasks + Recycle Bin.

Docker / config
  - Dockerfile: adds intel-media-driver / libva-utils / mesa-va-gallium
    so QSV + VAAPI work out of the box on Intel iGPUs.
  - docker-compose.yml: documents devices + group_add + nvidia runtime
    overrides for hardware transcoding.

Verified: go build, go vet, go test (incl. new TestBuildFFmpegArgs across
software / nvenc / qsv / vaapi encoder profiles); tsc -b && vite build
emits 22 route chunks plus the deferred hls chunk; main bundle 248 KB /
83 KB gzipped.
2026-05-14 16:22:08 +00:00

167 lines
5.1 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
}
// NewAIService is the constructor.
func NewAIService(cfg *config.Config, log *zap.Logger) *AIService {
timeout := time.Duration(cfg.AI.Timeout) * time.Second
if timeout <= 0 {
timeout = 30 * time.Second
}
return &AIService{
cfg: cfg,
log: log,
client: &http.Client{Timeout: 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) != ""
}
// 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) {
if !a.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, 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) {
if !a.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, 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, system, user string) (string, error) {
payload := map[string]any{
"model": a.cfg.AI.Model,
"temperature": 0.2,
"messages": []map[string]string{
{"role": "system", "content": system},
{"role": "user", "content": user},
},
}
body, _ := json.Marshal(payload)
endpoint := strings.TrimRight(a.cfg.AI.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 "+a.cfg.AI.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
}