4bea408bbd
- Markdown split editor: textarea + marked preview, Ctrl+S 저장
- PUT /api/documents/{id}/content: 원본 파일 저장 + extracted_text 갱신
- GET /api/documents/{id}/preview: PDF 미리보기 캐시 서빙
- preview_worker: LibreOffice headless → PDF 변환 (timeout 60s, retry 1회)
- queue_consumer: preview stage 추가 (embed 후 자동 트리거)
- DocumentViewer: 포맷별 분기 (markdown/pdf/preview-pdf/image/text/cad)
- 오피스/CAD 문서: 새 탭 편집 버튼
- Dockerfile: LibreOffice headless 설치
- migration 005: preview_status, preview_hash, preview_at 컬럼
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
73 lines
2.8 KiB
Python
73 lines
2.8 KiB
Python
"""documents 테이블 ORM"""
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from datetime import datetime
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from pgvector.sqlalchemy import Vector
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from sqlalchemy import BigInteger, DateTime, Enum, String, Text
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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from core.database import Base
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class Document(Base):
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__tablename__ = "documents"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
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# 1계층: 원본 파일
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file_path: Mapped[str] = mapped_column(Text, unique=True, nullable=False)
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file_hash: Mapped[str] = mapped_column(String(64), nullable=False)
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file_format: Mapped[str] = mapped_column(String(20), nullable=False)
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file_size: Mapped[int | None] = mapped_column(BigInteger)
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file_type: Mapped[str] = mapped_column(
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Enum("immutable", "editable", "note", name="doc_type"),
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default="immutable"
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)
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import_source: Mapped[str | None] = mapped_column(Text)
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# 2계층: 텍스트 추출
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extracted_text: Mapped[str | None] = mapped_column(Text)
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extracted_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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extractor_version: Mapped[str | None] = mapped_column(String(50))
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# 2계층: AI 가공
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ai_summary: Mapped[str | None] = mapped_column(Text)
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ai_tags: Mapped[dict | None] = mapped_column(JSONB, default=[])
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ai_domain: Mapped[str | None] = mapped_column(String(100))
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ai_sub_group: Mapped[str | None] = mapped_column(String(100))
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ai_model_version: Mapped[str | None] = mapped_column(String(50))
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ai_processed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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# 3계층: 벡터 임베딩
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embedding = mapped_column(Vector(768), nullable=True)
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embed_model_version: Mapped[str | None] = mapped_column(String(50))
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embedded_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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# 사용자 메모
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user_note: Mapped[str | None] = mapped_column(Text)
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# 미리보기
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preview_status: Mapped[str | None] = mapped_column(String(20), default="none")
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preview_hash: Mapped[str | None] = mapped_column(String(64))
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preview_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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# 메타데이터
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source_channel: Mapped[str | None] = mapped_column(
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Enum("law_monitor", "devonagent", "email", "web_clip",
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"tksafety", "inbox_route", "manual", "drive_sync",
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name="source_channel")
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)
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data_origin: Mapped[str | None] = mapped_column(
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Enum("work", "external", name="data_origin")
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)
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title: Mapped[str | None] = mapped_column(Text)
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# 타임스탬프
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=datetime.now
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=datetime.now, onupdate=datetime.now
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)
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