로또 프리미엄 Phase 2 — 구매 이력 + 개인 패턴 분석 + 주간 리포트 캐싱

- purchase_history 테이블 추가 (draw_no, amount, sets, prize, note)
- weekly_reports 캐시 테이블 추가 (drw_no UNIQUE, report JSON)
- GET  /api/lotto/purchase         구매 이력 조회 (draw_no, days 필터)
- POST /api/lotto/purchase         구매 이력 추가
- PUT  /api/lotto/purchase/:id     구매 이력 수정 (당첨금 업데이트)
- DELETE /api/lotto/purchase/:id   구매 이력 삭제
- GET  /api/lotto/purchase/stats   투자 수익률 통계
- GET  /api/lotto/analysis/personal 개인 패턴 분석 (top/least picks, 홀짝/구간/연속번호)
- GET  /api/lotto/report/history   저장된 주간 리포트 목록
- GET  /api/lotto/report/:drw_no   캐시 우선 조회 + cached 플래그
- 스케줄러: 토요일 09:00 주간 리포트 자동 생성 및 DB 캐싱

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-03-19 23:59:07 +09:00
parent 2ce118baba
commit 732d78becc
3 changed files with 336 additions and 5 deletions

View File

@@ -251,6 +251,34 @@ def init_db() -> None:
"CREATE INDEX IF NOT EXISTS idx_sub_items_created ON subscription_items(created_at DESC);"
)
# ── purchase_history 테이블 ────────────────────────────────────────────
conn.execute(
"""
CREATE TABLE IF NOT EXISTS purchase_history (
id INTEGER PRIMARY KEY AUTOINCREMENT,
draw_no INTEGER NOT NULL,
amount INTEGER NOT NULL,
sets INTEGER NOT NULL DEFAULT 1,
prize INTEGER NOT NULL DEFAULT 0,
note TEXT NOT NULL DEFAULT '',
created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
);
"""
)
conn.execute("CREATE INDEX IF NOT EXISTS idx_purchase_draw ON purchase_history(draw_no DESC);")
# ── weekly_reports 캐시 테이블 ──────────────────────────────────────────
conn.execute(
"""
CREATE TABLE IF NOT EXISTS weekly_reports (
id INTEGER PRIMARY KEY AUTOINCREMENT,
drw_no INTEGER UNIQUE NOT NULL,
report TEXT NOT NULL,
generated_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ','now'))
);
"""
)
# ── subscription_profile 테이블 (싱글톤 id=1) ──────────────────────────
conn.execute(
"""
@@ -1109,6 +1137,144 @@ def get_subscription_profile() -> Optional[Dict[str, Any]]:
return _profile_row_to_dict(r) if r else None
# ── purchase_history CRUD ─────────────────────────────────────────────────────
def _purchase_row_to_dict(r) -> Dict[str, Any]:
return {
"id": r["id"],
"draw_no": r["draw_no"],
"amount": r["amount"],
"sets": r["sets"],
"prize": r["prize"],
"note": r["note"],
"created_at": r["created_at"],
}
def add_purchase(draw_no: int, amount: int, sets: int, prize: int = 0, note: str = "") -> Dict[str, Any]:
with _conn() as conn:
conn.execute(
"INSERT INTO purchase_history (draw_no, amount, sets, prize, note) VALUES (?, ?, ?, ?, ?)",
(draw_no, amount, sets, prize, note),
)
row = conn.execute("SELECT * FROM purchase_history WHERE rowid = last_insert_rowid()").fetchone()
return _purchase_row_to_dict(row)
def get_purchases(draw_no: int = None, days: int = None) -> List[Dict[str, Any]]:
conditions, params = [], []
if draw_no is not None:
conditions.append("draw_no = ?")
params.append(draw_no)
if days:
conditions.append("created_at >= datetime('now', ? || ' days')")
params.append(f"-{days}")
where = f"WHERE {' AND '.join(conditions)}" if conditions else ""
with _conn() as conn:
rows = conn.execute(
f"SELECT * FROM purchase_history {where} ORDER BY draw_no DESC, id DESC",
params,
).fetchall()
return [_purchase_row_to_dict(r) for r in rows]
def update_purchase(purchase_id: int, data: Dict[str, Any]) -> Optional[Dict[str, Any]]:
allowed = {"draw_no", "amount", "sets", "prize", "note"}
updates = {k: v for k, v in data.items() if k in allowed}
if not updates:
with _conn() as conn:
row = conn.execute("SELECT * FROM purchase_history WHERE id = ?", (purchase_id,)).fetchone()
return _purchase_row_to_dict(row) if row else None
set_clause = ", ".join(f"{k} = ?" for k in updates)
with _conn() as conn:
cur = conn.execute(
f"UPDATE purchase_history SET {set_clause} WHERE id = ?",
list(updates.values()) + [purchase_id],
)
if cur.rowcount == 0:
return None
row = conn.execute("SELECT * FROM purchase_history WHERE id = ?", (purchase_id,)).fetchone()
return _purchase_row_to_dict(row)
def delete_purchase(purchase_id: int) -> bool:
with _conn() as conn:
cur = conn.execute("DELETE FROM purchase_history WHERE id = ?", (purchase_id,))
return cur.rowcount > 0
def get_purchase_stats() -> Dict[str, Any]:
with _conn() as conn:
rows = conn.execute("SELECT amount, prize FROM purchase_history").fetchall()
if not rows:
return {
"total_records": 0,
"total_invested": 0,
"total_prize": 0,
"net": 0,
"return_rate": 0.0,
"prize_count": 0,
"max_prize": 0,
}
amounts = [r["amount"] for r in rows]
prizes = [r["prize"] for r in rows]
total_invested = sum(amounts)
total_prize = sum(prizes)
return {
"total_records": len(rows),
"total_invested": total_invested,
"total_prize": total_prize,
"net": total_prize - total_invested,
"return_rate": round((total_prize / total_invested * 100) if total_invested else 0.0, 2),
"prize_count": sum(1 for p in prizes if p > 0),
"max_prize": max(prizes),
}
# ── weekly_reports CRUD ───────────────────────────────────────────────────────
def save_weekly_report(drw_no: int, report_json: str) -> None:
with _conn() as conn:
conn.execute(
"""
INSERT INTO weekly_reports (drw_no, report)
VALUES (?, ?)
ON CONFLICT(drw_no) DO UPDATE SET
report = excluded.report,
generated_at = strftime('%Y-%m-%dT%H:%M:%fZ','now')
""",
(drw_no, report_json),
)
def get_weekly_report_list(limit: int = 10) -> List[Dict[str, Any]]:
with _conn() as conn:
rows = conn.execute(
"SELECT drw_no, generated_at FROM weekly_reports ORDER BY drw_no DESC LIMIT ?",
(limit,),
).fetchall()
return [dict(r) for r in rows]
def get_weekly_report(drw_no: int) -> Optional[Dict[str, Any]]:
with _conn() as conn:
row = conn.execute(
"SELECT drw_no, report, generated_at FROM weekly_reports WHERE drw_no = ?",
(drw_no,),
).fetchone()
if not row:
return None
import json as _json
return {"drw_no": row["drw_no"], "generated_at": row["generated_at"], **_json.loads(row["report"])}
def get_all_recommendation_numbers() -> List[List[int]]:
"""개인 패턴 분석용: 저장된 모든 추천 번호 반환"""
with _conn() as conn:
rows = conn.execute("SELECT numbers FROM recommendations ORDER BY id DESC").fetchall()
return [json.loads(r["numbers"]) for r in rows]
def upsert_subscription_profile(data: Dict[str, Any]) -> Dict[str, Any]:
field_map = {
"isHouseholdHead": "is_household_head",