feat: scaffold v2 project structure with Docker, FastAPI, and config

동작하는 최소 코드 수준의 v2 스캐폴딩:

- docker-compose.yml: postgres, fastapi, kordoc, frontend, caddy
- app/: FastAPI 백엔드 (main, core, models, ai, prompts)
- services/kordoc/: Node.js 문서 파싱 마이크로서비스
- gpu-server/: AI Gateway + GPU docker-compose
- frontend/: SvelteKit 기본 구조
- migrations/: PostgreSQL 초기 스키마 (documents, tasks, processing_queue)
- tests/: pytest conftest 기본 설정
- config.yaml, Caddyfile, credentials.env.example 갱신

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

app/models/document.py

@@ -0,0 +1,64 @@
+"""documents 테이블 ORM"""
+
+from datetime import datetime
+
+from pgvector.sqlalchemy import Vector
+from sqlalchemy import BigInteger, DateTime, Enum, String, Text
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from core.database import Base
+
+
+class Document(Base):
+    __tablename__ = "documents"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
+
+    # 1계층: 원본 파일
+    file_path: Mapped[str] = mapped_column(Text, unique=True, nullable=False)
+    file_hash: Mapped[str] = mapped_column(String(64), nullable=False)
+    file_format: Mapped[str] = mapped_column(String(20), nullable=False)
+    file_size: Mapped[int | None] = mapped_column(BigInteger)
+    file_type: Mapped[str] = mapped_column(
+        Enum("immutable", "editable", "note", name="doc_type"),
+        default="immutable"
+    )
+    import_source: Mapped[str | None] = mapped_column(Text)
+
+    # 2계층: 텍스트 추출
+    extracted_text: Mapped[str | None] = mapped_column(Text)
+    extracted_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    extractor_version: Mapped[str | None] = mapped_column(String(50))
+
+    # 2계층: AI 가공
+    ai_summary: Mapped[str | None] = mapped_column(Text)
+    ai_tags: Mapped[dict | None] = mapped_column(JSONB, default=[])
+    ai_domain: Mapped[str | None] = mapped_column(String(100))
+    ai_sub_group: Mapped[str | None] = mapped_column(String(100))
+    ai_model_version: Mapped[str | None] = mapped_column(String(50))
+    ai_processed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+
+    # 3계층: 벡터 임베딩
+    embedding = mapped_column(Vector(768), nullable=True)
+    embed_model_version: Mapped[str | None] = mapped_column(String(50))
+    embedded_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+
+    # 메타데이터
+    source_channel: Mapped[str | None] = mapped_column(
+        Enum("law_monitor", "devonagent", "email", "web_clip",
+             "tksafety", "inbox_route", "manual", "drive_sync",
+             name="source_channel")
+    )
+    data_origin: Mapped[str | None] = mapped_column(
+        Enum("work", "external", name="data_origin")
+    )
+    title: Mapped[str | None] = mapped_column(Text)
+
+    # 타임스탬프
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=datetime.now
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), default=datetime.now, onupdate=datetime.now
+    )