feat(rec): audio analyzer and My Wave v1 engine (M4)

- migration 00006: track features and embeddings (pgvector, HNSW),
  analysis queue filled by a trigger on new tracks, wave sessions and
  impressions, recommender profiles, model versions
- analyzer basic-1 (ADR-014): ffmpeg decode, three 30 s excerpts,
  256-d timbre/rhythm embedding, tempo by onset autocorrelation, key,
  loudness, energy, danceability, acousticness, intro length; worker
  with SKIP LOCKED claims, retries and re-analysis on version change
- wave engine v1: candidates (session/taste similarity, fresh,
  liked artists, rediscover, popular, exploration, seed), filters
  (dislikes, played in 3 h, already served), heuristic score, activity
  and mood fit from contexts.yaml with relaxing thresholds, MMR with
  one track per artist, exploration share, session vector updated by
  reactions and a change of course after three skips
- POST /internal/wave/batch with the catalog index cached in memory
  and the session kept in Redis

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

services/recommender/pipu_rec/cli.py

@@ -1,15 +1,17 @@
 """Точка входа: `pipu-rec serve` (онлайн-API) или `pipu-rec analyze` (воркер аудиоанализа)."""
 
 import argparse
-import asyncio
 import logging
 
 import psycopg
 import redis.asyncio as aioredis
 import uvicorn
 
+from pipu_rec.analysis.worker import Worker
 from pipu_rec.api.app import create_app
 from pipu_rec.settings import Settings
+from pipu_rec.wave.contexts import load_contexts
+from pipu_rec.wave.service import WaveService
 
 log = logging.getLogger("pipu_rec")
 
@@ -24,19 +26,19 @@ def _serve(settings: Settings) -> None:
     async def check_redis() -> None:
         await rdb.ping()
 
-    app = create_app(settings, {"postgres": check_postgres, "redis": check_redis})
+    wave = WaveService(settings.database_url, settings.redis_url, load_contexts(settings.contexts_path))
+    app = create_app(settings, {"postgres": check_postgres, "redis": check_redis}, wave)
     uvicorn.run(app, host=settings.http_host, port=settings.http_port, log_level=settings.log_level)
 
 
 def _analyze(settings: Settings, workers: int) -> None:
-    # Аудиоанализ (Essentia) появится в M4; сейчас воркер только держит процесс живым.
-    log.info("analyzer started: workers=%d version=%s (no-op until M4)", workers, settings.version)
-
-    async def idle() -> None:
-        while True:
-            await asyncio.sleep(3600)
-
-    asyncio.run(idle())
+    Worker(
+        settings.database_url,
+        settings.library_root,
+        settings.library_host_root,
+        workers,
+        settings.ffmpeg_path,
+    ).run_forever()
 
 
 def main() -> None: