lotto-lab: 구매 CRUD 확장 + strategy_performance/weights CRUD 추가

- _purchase_row_to_dict: numbers/is_real/source_detail/results/total_prize 신규 컬럼 포함
- add_purchase: numbers, is_real, source_strategy, source_detail 파라미터 추가
- get_purchases: is_real, strategy, checked 필터 추가
- get_purchase_stats: total/real/virtual/by_strategy 분리 통계 + 하위호환 필드 유지
- update_purchase: allowed 셋에 numbers/is_real/source_strategy 추가
- 신규: upsert_strategy_performance, get_strategy_performance
- 신규: get_strategy_weights, update_strategy_weight
- 신규: update_purchase_results (체커 연동용)
- 테스트 5건 추가 (TDD)

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

backend/tests/test_purchase_manager.py

@@ -67,3 +67,132 @@ def test_strategy_weights_table_exists():
     total_weight = sum(r["weight"] for r in rows)
     assert abs(total_weight - 1.0) < 0.01
     mem.close()
+
+
+def test_add_purchase_with_numbers():
+    """번호 포함 구매 등록"""
+    import db
+    mem = _make_mem_conn()
+    with patch("db._conn", return_value=mem):
+        db.init_db()
+        result = db.add_purchase(
+            draw_no=1150,
+            amount=5000,
+            sets=5,
+            numbers=[[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]],
+            is_real=False,
+            source_strategy="simulation",
+            source_detail={"run_id": 42},
+        )
+    assert result["draw_no"] == 1150
+    assert result["amount"] == 5000
+    assert result["is_real"] == 0
+    assert result["source_strategy"] == "simulation"
+    assert result["numbers"] == [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]
+    assert result["source_detail"] == {"run_id": 42}
+    mem.close()
+
+
+def test_get_purchases_filter_is_real():
+    """is_real 필터 동작"""
+    import db
+    mem = _make_mem_conn()
+    with patch("db._conn", return_value=mem):
+        db.init_db()
+        db.add_purchase(draw_no=1150, amount=5000, sets=5, is_real=True)
+        db.add_purchase(draw_no=1150, amount=1000, sets=1, is_real=False)
+        real_only = db.get_purchases(is_real=True)
+        virtual_only = db.get_purchases(is_real=False)
+    assert len(real_only) == 1
+    assert real_only[0]["is_real"] == 1
+    assert len(virtual_only) == 1
+    assert virtual_only[0]["is_real"] == 0
+    mem.close()
+
+
+def test_get_purchase_stats_by_type():
+    """실제/가상 분리 통계"""
+    import db
+    mem = _make_mem_conn()
+    with patch("db._conn", return_value=mem):
+        db.init_db()
+        db.add_purchase(draw_no=1150, amount=5000, sets=5, is_real=True, source_strategy="manual")
+        db.add_purchase(draw_no=1150, amount=1000, sets=1, is_real=False, source_strategy="simulation")
+        stats = db.get_purchase_stats()
+    assert "total" in stats
+    assert "real" in stats
+    assert "virtual" in stats
+    assert "by_strategy" in stats
+    assert stats["total"]["sets"] == 6
+    assert stats["real"]["sets"] == 5
+    assert stats["virtual"]["sets"] == 1
+    assert "manual" in stats["by_strategy"]
+    assert "simulation" in stats["by_strategy"]
+    # 하위호환 필드
+    assert "total_records" in stats
+    assert stats["total_records"] == 2
+    mem.close()
+
+
+def test_upsert_strategy_performance():
+    """전략 성과 upsert"""
+    import db
+    mem = _make_mem_conn()
+    with patch("db._conn", return_value=mem):
+        db.init_db()
+        # 최초 insert
+        db.upsert_strategy_performance(
+            strategy="simulation",
+            draw_no=1150,
+            sets_count=10,
+            total_correct=30,
+            max_correct=5,
+            prize_total=5000,
+            avg_score=3.0,
+        )
+        rows = db.get_strategy_performance(strategy="simulation")
+        assert len(rows) == 1
+        assert rows[0]["sets_count"] == 10
+        assert rows[0]["avg_score"] == 3.0
+        # upsert (동일 strategy+draw_no)
+        db.upsert_strategy_performance(
+            strategy="simulation",
+            draw_no=1150,
+            sets_count=20,
+            total_correct=60,
+            max_correct=6,
+            prize_total=10000,
+            avg_score=4.5,
+        )
+        rows = db.get_strategy_performance(strategy="simulation")
+        assert len(rows) == 1  # 중복 없이 1개
+        assert rows[0]["sets_count"] == 20
+        assert rows[0]["avg_score"] == 4.5
+    mem.close()
+
+
+def test_update_strategy_weight():
+    """전략 가중치 업데이트"""
+    import db
+    mem = _make_mem_conn()
+    with patch("db._conn", return_value=mem):
+        db.init_db()
+        # 초기값 확인
+        weights_before = db.get_strategy_weights()
+        combined_before = next(w for w in weights_before if w["strategy"] == "combined")
+        original_weight = combined_before["weight"]
+        # 업데이트
+        db.update_strategy_weight(
+            strategy="combined",
+            weight=0.5,
+            ema_score=0.75,
+            total_sets=100,
+            total_hits_3plus=20,
+        )
+        weights_after = db.get_strategy_weights()
+        combined_after = next(w for w in weights_after if w["strategy"] == "combined")
+        assert combined_after["weight"] == 0.5
+        assert combined_after["ema_score"] == 0.75
+        assert combined_after["total_sets"] == 100
+        assert combined_after["total_hits_3plus"] == 20
+    mem.close()