feat(music-lab): market_trends·trend_reports DB + market.py + /api/music/market 5개 API

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

music-lab/app/market.py

@@ -0,0 +1,102 @@
+# music-lab/app/market.py
+import os
+from collections import Counter, defaultdict
+from typing import Any, Dict, List, Optional
+
+from .db import (
+    get_latest_trend_report, get_trend_reports,
+    insert_market_trends, upsert_trend_report,
+)
+
+ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY", "")
+
+GENRE_PROMPTS: Dict[str, str] = {
+    "lo-fi":   "lo-fi hip hop, chill, relaxing beats, study music, 85 BPM, jazzy chords",
+    "phonk":   "dark phonk, aggressive 808 bass, Memphis trap, distorted synths, 140 BPM",
+    "ambient": "ambient, atmospheric, ethereal pads, slow evolving textures, no percussion",
+    "pop":     "upbeat pop, catchy melody, modern production, 120 BPM",
+    "funk":    "baile funk, Brazilian funk, energetic, 150 BPM",
+    "latin":   "reggaeton, latin pop, dembow rhythm, 100 BPM",
+    "general": "music, modern production, wide appeal",
+}
+
+
+def ingest_trends(trends: List[Dict[str, Any]], report_date: str) -> Dict[str, Any]:
+    """agent-office 트렌드 수신 → 저장 + 리포트 생성."""
+    insert_market_trends(trends)
+    report = _build_report(trends, report_date)
+    upsert_trend_report(report)
+    return report
+
+
+def _build_report(trends: List[Dict[str, Any]], report_date: str) -> Dict[str, Any]:
+    genre_scores:    Dict[str, float] = defaultdict(float)
+    genre_countries: Dict[str, set]   = defaultdict(set)
+    keywords: List[str] = []
+
+    for t in trends:
+        g = t.get("genre") or "general"
+        genre_scores[g]    += t.get("score", 0.0)
+        genre_countries[g].add(t.get("country", ""))
+        kw = t.get("keyword", "")
+        if kw:
+            keywords.append(kw)
+
+    top_genres = sorted(
+        [{"genre": g, "score": round(s, 3), "countries": list(genre_countries[g])}
+         for g, s in genre_scores.items()],
+        key=lambda x: x["score"], reverse=True,
+    )[:10]
+
+    kw_counts = Counter(keywords)
+    top_keywords = [kw for kw, _ in kw_counts.most_common(15)]
+
+    recommended_styles = [
+        {
+            "genre":            g["genre"],
+            "suno_prompt":      GENRE_PROMPTS.get(g["genre"], GENRE_PROMPTS["general"]),
+            "target_countries": g["countries"][:3],
+            "reason":           f"트렌딩 score {g['score']:.2f}",
+        }
+        for g in top_genres[:5]
+    ]
+
+    return {
+        "report_date":        report_date,
+        "top_genres":         top_genres,
+        "top_keywords":       top_keywords,
+        "recommended_styles": recommended_styles,
+        "insights":           _generate_insights(top_genres, top_keywords),
+    }
+
+
+def _generate_insights(top_genres: list, top_keywords: list) -> str:
+    if not top_genres:
+        return "아직 수집된 트렌드 데이터가 없습니다."
+    if not ANTHROPIC_API_KEY:
+        names = ", ".join(g["genre"] for g in top_genres[:3])
+        return f"이번 주 인기 장르: {names}. 해당 장르 중심 제작을 추천합니다."
+
+    import anthropic
+    client = anthropic.Anthropic(api_key=ANTHROPIC_API_KEY)
+    genre_str = ", ".join(f"{g['genre']}({g['score']:.1f})" for g in top_genres[:5])
+    kw_str    = ", ".join(top_keywords[:10])
+    try:
+        msg = client.messages.create(
+            model="claude-haiku-4-5-20251001",
+            max_tokens=300,
+            messages=[{"role": "user", "content":
+                f"YouTube 음악 트렌드 인사이트를 2-3문장으로 요약.\n"
+                f"인기 장르: {genre_str}\n인기 키워드: {kw_str}"}],
+        )
+        return msg.content[0].text.strip()
+    except Exception:
+        names = ", ".join(g["genre"] for g in top_genres[:3])
+        return f"인기 장르: {names}."
+
+
+def get_suggestions(limit: int = 5) -> List[Dict[str, Any]]:
+    report = get_latest_trend_report()
+    if not report:
+        return []
+    return report.get("recommended_styles", [])[:limit]