feat(realestate-matcher): 5-tier district weighting + eligibility curve

지역 점수를 35점(광역 10 + 자치구 S/A/B/C/D 티어 0~25)으로 재배분하고,
자격 점수를 25점(첫 자격 15 + 추가당 5, 최대 +10) 곡선으로 변경.
총점 구성: 지역 35 + 유형 10 + 면적 15 + 가격 15 + 자격 25 = 100.

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

realestate-lab/tests/test_matcher.py

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+def test_region_score_no_districts_full_when_region_match():
+    """자치구 미설정: 광역 일치 시 35점."""
+    from app.matcher import _region_score
+    profile = {"preferred_regions": ["서울"], "preferred_districts": {}}
+    ann = {"region_name": "서울특별시", "district": None}
+    score, _ = _region_score(profile, ann)
+    assert score == 35
+
+
+def test_region_score_no_districts_zero_when_region_mismatch():
+    from app.matcher import _region_score
+    profile = {"preferred_regions": ["서울"], "preferred_districts": {}}
+    ann = {"region_name": "부산광역시", "district": None}
+    score, _ = _region_score(profile, ann)
+    assert score == 0
+
+
+def test_region_score_s_tier_district():
+    """광역 매칭 + S티어 자치구: 10 + 25 = 35."""
+    from app.matcher import _region_score
+    profile = {
+        "preferred_regions": ["서울"],
+        "preferred_districts": {"S": ["강남구"], "A": [], "B": [], "C": [], "D": []},
+    }
+    ann = {"region_name": "서울특별시", "district": "강남구"}
+    score, _ = _region_score(profile, ann)
+    assert score == 35
+
+
+def test_region_score_a_tier_district():
+    """광역 매칭 + A티어 자치구: 10 + 20 = 30."""
+    from app.matcher import _region_score
+    profile = {
+        "preferred_regions": ["서울"],
+        "preferred_districts": {"S": [], "A": ["송파구"], "B": [], "C": [], "D": []},
+    }
+    ann = {"region_name": "서울특별시", "district": "송파구"}
+    score, _ = _region_score(profile, ann)
+    assert score == 30
+
+
+def test_region_score_d_tier_district():
+    """광역 매칭 + D티어 자치구: 10 + 5 = 15."""
+    from app.matcher import _region_score
+    profile = {
+        "preferred_regions": ["서울"],
+        "preferred_districts": {"S": [], "A": [], "B": [], "C": [], "D": ["도봉구"]},
+    }
+    ann = {"region_name": "서울특별시", "district": "도봉구"}
+    score, _ = _region_score(profile, ann)
+    assert score == 15
+
+
+def test_region_score_district_set_but_not_listed():
+    """광역 매칭 + 자치구 5티어 어디에도 없음: 10점만."""
+    from app.matcher import _region_score
+    profile = {
+        "preferred_regions": ["서울"],
+        "preferred_districts": {"S": ["강남구"], "A": [], "B": [], "C": [], "D": []},
+    }
+    ann = {"region_name": "서울특별시", "district": "강서구"}
+    score, _ = _region_score(profile, ann)
+    assert score == 10
+
+
+def test_eligibility_score_zero_when_empty():
+    from app.matcher import _eligibility_score
+    assert _eligibility_score([]) == 0
+
+
+def test_eligibility_score_one_type_returns_15():
+    from app.matcher import _eligibility_score
+    assert _eligibility_score(["일반1순위"]) == 15
+
+
+def test_eligibility_score_two_types_returns_20():
+    from app.matcher import _eligibility_score
+    assert _eligibility_score(["일반1순위", "특별-신혼부부"]) == 20
+
+
+def test_eligibility_score_caps_at_25():
+    from app.matcher import _eligibility_score
+    assert _eligibility_score(["a", "b", "c", "d", "e"]) == 25