fix(realestate): 시세 표본 광역폴백(M1)+area-NULL upsert skip(M3)+matches JSON파싱(M4)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EqCYBhvTcdeCTUDX3RhWx9

realestate-lab/tests/test_listing_db.py

@@ -38,3 +38,53 @@ def test_unnotified_listing_match_and_mark():
     assert len(un) == 1
     db.mark_listings_notified([un[0]["id"]])
     assert db.get_unnotified_listing_matches() == []
+
+
+# ── 최종 리뷰 fix (M1/M3/M4) ─────────────────────────────────────────────────
+
+def test_market_deals_broad_fallback_when_complex_sample_thin():
+    """complex_name 지정 시 표본이 MIN_SAMPLE(3) 미만이면 complex 제약을 풀고
+    같은 dong_code/deal_type/area±5/recency 조건으로 광역 재조회해야 한다."""
+    from app import db
+    base = {"house_type": "아파트", "dong_code": "11590", "dong": "신대방동",
+            "area": 42.0, "deal_type": "전세", "sale_amount": None, "floor": "5", "source": "molit"}
+    # complex "A" 단독 1건 (< MIN_SAMPLE=3)
+    db.upsert_market_deal({**base, "complex_name": "A", "deposit": 30000, "deal_ym": "202601"})
+    # complex "B" 3건 (dedup 인덱스 회피 위해 deal_ym 다르게)
+    db.upsert_market_deal({**base, "complex_name": "B", "deposit": 31000, "deal_ym": "202602"})
+    db.upsert_market_deal({**base, "complex_name": "B", "deposit": 32000, "deal_ym": "202603"})
+    db.upsert_market_deal({**base, "complex_name": "B", "deposit": 33000, "deal_ym": "202604"})
+
+    deals = db.get_market_deals_for("11590", "A", 42.0, "전세", months=120)
+    assert len(deals) == 4  # A 1건 + B 3건 광역 폴백
+
+
+def test_upsert_market_deal_area_null_skipped():
+    """area=None인 실거래는 median 계산에 무용 + dedup 인덱스도 못 걸려 무한중복
+    유발하므로 저장 자체를 skip해야 한다."""
+    from app import db
+    d = {"house_type": "아파트", "dong_code": "11590", "dong": "신대방동",
+         "complex_name": "OO", "area": None, "deal_type": "전세",
+         "deposit": 43000, "sale_amount": None, "deal_ym": "202605", "floor": "5", "source": "molit"}
+    db.upsert_market_deal(d)
+    db.upsert_market_deal(d)  # 재호출해도 여전히 저장 안 됨(무한중복 방지 확인)
+    with db._conn() as conn:
+        cnt = conn.execute("SELECT COUNT(*) FROM market_deals").fetchone()[0]
+    assert cnt == 0
+
+
+def test_get_listing_matches_json_parsed():
+    """get_listing_matches()도 get_unnotified_listing_matches()와 동일하게
+    regulation_flags/reasons를 list로 파싱해 반환해야 한다."""
+    from app import db
+    lid, _ = db.upsert_listing({"article_no": "A3", "source": "naver", "deal_type": "전세",
+                                "deposit": 29000, "area_exclusive": 42.0, "dong": "신대방동"})
+    db.upsert_listing_match({"listing_id": lid["id"], "category": "임차", "passed": 1,
+                             "match_score": 90, "safety_tier": "안전", "sample_size": 7,
+                             "regulation_flags": ["토지거래허가구역"], "reasons": ["ok"], "is_new": 1})
+    matches = db.get_listing_matches()
+    assert len(matches) == 1
+    assert isinstance(matches[0]["regulation_flags"], list)
+    assert matches[0]["regulation_flags"] == ["토지거래허가구역"]
+    assert isinstance(matches[0]["reasons"], list)
+    assert matches[0]["reasons"] == ["ok"]