Import S-CANVAS source + iter=1~7 lint cleanup

S-CANVAS (Saman Corp.) — DXF + DEM + AI 기반 3D 조감도 생성 엔진.
~24k LOC Python (scanvas_maker.py 7072 LOC GUI + 구조물 파서/빌더 다수).

이 커밋은 7-iter cleanup이 적용된 상태로 import:
- F821 8 + B023 6: 비동기 lambda + except/loop 변수 캡처 NameError
  (Py3.13에서 reproduce 확인된 진짜 버그)
- RUF012 4 + RUF013 1: ClassVar / implicit Optional 명시화
- F811/B905/B904/F401/F841/W293/F541/UP/SIM/RUF/PLR 700+ cleanup/modernization

신규 파일:
- ruff.toml: target=py313, Korean unicode/저자 스타일/도메인 복잡도 무력화
- requirements-py313.txt: pyproj>=3.7, scipy>=1.14, numpy>=2.0.2 (Py3.13 wheel)
- .gitignore: gcp-key.json, 캐시, 백업, 생성 이미지 제외

검증: ruff 0 errors, py_compile 0 errors, import 33/33 OK on Py3.13.13.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

harness/logger.py

@@ -0,0 +1,136 @@
+"""로거 - SQLite DB + structlog 기반 작업 이력 추적."""
+
+from __future__ import annotations
+
+import logging
+import sys
+from datetime import datetime
+from pathlib import Path
+
+import structlog
+from sqlalchemy import Column, DateTime, Float, Integer, String, Text, create_engine
+from sqlalchemy.orm import DeclarativeBase, Session, sessionmaker
+
+
+# ──────────────────────────── ORM 모델 ────────────────────────────
+
+class Base(DeclarativeBase):
+    pass
+
+
+class JobRecord(Base):
+    """조감도 생성 작업 1건의 이력 레코드."""
+    __tablename__ = "jobs"
+
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    dxf_path = Column(String(512), nullable=False)
+    dxf_hash = Column(String(32))
+    timestamp = Column(DateTime, default=datetime.utcnow)
+    seed = Column(Integer)
+    prompt_version = Column(String(32))
+    prompt_hash = Column(String(32))
+    status = Column(String(16), default="pending")  # pending / running / done / failed
+    output_path = Column(String(512))
+    quality_score = Column(Float)
+    error_message = Column(Text)
+    latency_ms = Column(Float)
+
+
+# ──────────────────────────── DB 세션 ────────────────────────────
+
+_engine = None
+_SessionFactory = None
+
+
+def init_db(db_path: str | Path = "cad_aerial_gen.db"):
+    global _engine, _SessionFactory  # noqa: PLW0603 (module-level singleton init)
+    _engine = create_engine(f"sqlite:///{db_path}", echo=False)
+    Base.metadata.create_all(_engine)
+    _SessionFactory = sessionmaker(bind=_engine)
+
+
+def get_db_session() -> Session:
+    if _SessionFactory is None:
+        init_db()
+    return _SessionFactory()
+
+
+# ──────────────────────────── structlog 설정 ────────────────────────────
+
+def setup_logging(log_file: Path | None = None, level: str = "INFO"):
+    """콘솔 + 파일 동시 로깅을 설정한다."""
+    handlers = [logging.StreamHandler(sys.stdout)]
+    if log_file:
+        log_file.parent.mkdir(parents=True, exist_ok=True)
+        handlers.append(logging.FileHandler(str(log_file), encoding="utf-8"))
+
+    logging.basicConfig(
+        format="%(message)s",
+        level=getattr(logging, level.upper(), logging.INFO),
+        handlers=handlers,
+    )
+
+    structlog.configure(
+        processors=[
+            structlog.contextvars.merge_contextvars,
+            structlog.processors.add_log_level,
+            structlog.processors.TimeStamper(fmt="%Y-%m-%d %H:%M:%S"),
+            structlog.dev.ConsoleRenderer(),
+        ],
+        wrapper_class=structlog.make_filtering_bound_logger(
+            getattr(logging, level.upper(), logging.INFO)
+        ),
+        logger_factory=structlog.PrintLoggerFactory(),
+    )
+
+
+def get_logger(name: str = "cad_aerial_gen"):
+    return structlog.get_logger(name)
+
+
+# ──────────────────────────── 작업 이력 헬퍼 ────────────────────────────
+
+class JobLogger:
+    """작업 이력 CRUD 래퍼."""
+
+    def create_job(self, db: Session, dxf_path: str, dxf_hash: str = "") -> JobRecord:
+        record = JobRecord(dxf_path=dxf_path, dxf_hash=dxf_hash, status="pending")
+        db.add(record)
+        db.commit()
+        db.refresh(record)
+        return record
+
+    def start_job(self, db: Session, job_id: int, seed: int, prompt_version: str, prompt_hash: str):
+        record = db.query(JobRecord).filter_by(id=job_id).first()
+        if record:
+            record.status = "running"
+            record.seed = seed
+            record.prompt_version = prompt_version
+            record.prompt_hash = prompt_hash
+            db.commit()
+
+    def complete_job(
+        self,
+        db: Session,
+        job_id: int,
+        output_path: str,
+        quality_score: float,
+        latency_ms: float,
+    ):
+        record = db.query(JobRecord).filter_by(id=job_id).first()
+        if record:
+            record.status = "done"
+            record.output_path = output_path
+            record.quality_score = quality_score
+            record.latency_ms = latency_ms
+            db.commit()
+
+    def fail_job(self, db: Session, job_id: int, error: str):
+        record = db.query(JobRecord).filter_by(id=job_id).first()
+        if record:
+            record.status = "failed"
+            record.error_message = error
+            db.commit()
+
+    def list_jobs(self, db: Session, limit: int = 50):
+        return db.query(JobRecord).order_by(JobRecord.id.desc()).limit(limit).all()