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/db.py

@@ -137,6 +137,38 @@ def init_db() -> None:
         """)
         conn.execute("CREATE INDEX IF NOT EXISTS idx_rr_month ON revenue_records(record_month DESC)")
 
+        # ── market_trends 테이블 ──────────────────────────────────────────
+        conn.execute("""
+            CREATE TABLE IF NOT EXISTS market_trends (
+                id           INTEGER PRIMARY KEY AUTOINCREMENT,
+                source       TEXT NOT NULL DEFAULT '',
+                country      TEXT NOT NULL DEFAULT '',
+                genre        TEXT NOT NULL DEFAULT '',
+                keyword      TEXT NOT NULL DEFAULT '',
+                score        REAL NOT NULL DEFAULT 0.0,
+                rank         INTEGER,
+                metadata     TEXT NOT NULL DEFAULT '{}',
+                collected_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
+            )
+        """)
+        conn.execute(
+            "CREATE INDEX IF NOT EXISTS idx_mt_country_source "
+            "ON market_trends(country, source, collected_at DESC)"
+        )
+
+        # ── trend_reports 테이블 ──────────────────────────────────────────
+        conn.execute("""
+            CREATE TABLE IF NOT EXISTS trend_reports (
+                id                 INTEGER PRIMARY KEY AUTOINCREMENT,
+                report_date        TEXT UNIQUE NOT NULL DEFAULT '',
+                top_genres         TEXT NOT NULL DEFAULT '[]',
+                top_keywords       TEXT NOT NULL DEFAULT '[]',
+                recommended_styles TEXT NOT NULL DEFAULT '[]',
+                insights           TEXT NOT NULL DEFAULT '',
+                created_at         TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
+            )
+        """)
+
 
 # ── music_tasks CRUD ──────────────────────────────────────────────────────────
 
@@ -583,3 +615,88 @@ def get_revenue_dashboard() -> dict:
         "by_month":   [dict(r) for r in by_month],
         "by_country": [dict(r) for r in by_country],
     }
+
+
+# ── market_trends CRUD ────────────────────────────────────────────────────────
+
+def insert_market_trends(trends: list) -> None:
+    with _conn() as conn:
+        conn.executemany(
+            """INSERT INTO market_trends (source, country, genre, keyword, score, rank, metadata)
+               VALUES (?, ?, ?, ?, ?, ?, ?)""",
+            [(t.get("source",""), t.get("country",""), t.get("genre",""),
+              t.get("keyword",""), t.get("score", 0.0), t.get("rank"),
+              json.dumps(t.get("metadata", {})))
+             for t in trends],
+        )
+
+
+def get_market_trends(
+    country: str = None, genre: str = None, source: str = None, days: int = 7
+) -> list:
+    with _conn() as conn:
+        q = "SELECT * FROM market_trends WHERE collected_at >= datetime('now', ?)"
+        params: list = [f"-{days} days"]
+        if country:
+            q += " AND country=?";  params.append(country)
+        if genre:
+            q += " AND genre=?";    params.append(genre)
+        if source:
+            q += " AND source=?";   params.append(source)
+        q += " ORDER BY collected_at DESC LIMIT 500"
+        rows = conn.execute(q, params).fetchall()
+    return [
+        {"id": r["id"], "source": r["source"], "country": r["country"],
+         "genre": r["genre"], "keyword": r["keyword"], "score": r["score"],
+         "rank": r["rank"], "metadata": json.loads(r["metadata"]),
+         "collected_at": r["collected_at"]}
+        for r in rows
+    ]
+
+
+# ── trend_reports CRUD ────────────────────────────────────────────────────────
+
+def upsert_trend_report(data: dict) -> None:
+    with _conn() as conn:
+        conn.execute(
+            """INSERT INTO trend_reports
+               (report_date, top_genres, top_keywords, recommended_styles, insights)
+               VALUES (?, ?, ?, ?, ?)
+               ON CONFLICT(report_date) DO UPDATE SET
+                 top_genres=excluded.top_genres,
+                 top_keywords=excluded.top_keywords,
+                 recommended_styles=excluded.recommended_styles,
+                 insights=excluded.insights""",
+            (data["report_date"], json.dumps(data["top_genres"]),
+             json.dumps(data["top_keywords"]), json.dumps(data["recommended_styles"]),
+             data["insights"]),
+        )
+
+
+def get_latest_trend_report() -> Optional[Dict[str, Any]]:
+    with _conn() as conn:
+        row = conn.execute(
+            "SELECT * FROM trend_reports ORDER BY report_date DESC LIMIT 1"
+        ).fetchone()
+    if not row:
+        return None
+    return {
+        "id":                 row["id"],
+        "report_date":        row["report_date"],
+        "top_genres":         json.loads(row["top_genres"]),
+        "top_keywords":       json.loads(row["top_keywords"]),
+        "recommended_styles": json.loads(row["recommended_styles"]),
+        "insights":           row["insights"],
+        "created_at":         row["created_at"],
+    }
+
+
+def get_trend_reports(limit: int = 10) -> list:
+    with _conn() as conn:
+        rows = conn.execute(
+            "SELECT id, report_date, insights, created_at FROM trend_reports "
+            "ORDER BY report_date DESC LIMIT ?", (limit,)
+        ).fetchall()
+    return [{"id": r["id"], "report_date": r["report_date"],
+             "insights": r["insights"][:100], "created_at": r["created_at"]}
+            for r in rows]