07f9ac91fc
- Add outgoing_links (JSON) and backlinks_count to Document model
- POST /documents/{id}/detect-links — detect [[uuid]] patterns in content
- GET /documents/{id}/backlinks — documents referencing this doc
- GET /documents/{id}/outgoing-links — documents this doc references
- GET /documents/{id}/links — combined incoming + outgoing
- GET /projects/{id}/graph — full project relationship graph
- GET /search/quick — fuzzy search (Quick Switcher Cmd+K)
- GET /projects/{id}/documents/search — project-scoped search
- GET /documents/{id}/export — markdown|json export
- GET /projects/{id}/export — json|zip export
- 27 new tests
45 lines
2.2 KiB
Python
45 lines
2.2 KiB
Python
import uuid
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from datetime import datetime
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from enum import Enum
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from sqlalchemy import Boolean, DateTime, ForeignKey, String, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.database import Base
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def generate_uuid() -> str:
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return str(uuid.uuid4())
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class ReasoningType(str, Enum):
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CHAIN = "chain"
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IDEA = "idea"
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CONTEXT = "context"
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REFLECTION = "reflection"
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class Document(Base):
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__tablename__ = "documents"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=generate_uuid)
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title: Mapped[str] = mapped_column(String(500), nullable=False)
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content: Mapped[str] = mapped_column(Text, nullable=False, default="")
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project_id: Mapped[str] = mapped_column(String(36), ForeignKey("projects.id", ondelete="CASCADE"), nullable=False)
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folder_id: Mapped[str | None] = mapped_column(String(36), ForeignKey("folders.id", ondelete="SET NULL"), nullable=True)
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path: Mapped[str] = mapped_column(Text, nullable=False)
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is_deleted: Mapped[bool] = mapped_column(Boolean, default=False, nullable=False)
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deleted_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
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deleted_by: Mapped[str | None] = mapped_column(String(36), nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False)
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# Phase 2: Reasoning fields
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reasoning_type: Mapped[str | None] = mapped_column(String(20), nullable=True)
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confidence: Mapped[str | None] = mapped_column(String(10), nullable=True) # Store as string to handle JSON serialization
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reasoning_steps: Mapped[str | None] = mapped_column(Text, nullable=True) # JSON array as text
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model_source: Mapped[str | None] = mapped_column(String(100), nullable=True)
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tiptap_content: Mapped[str | None] = mapped_column(Text, nullable=True) # JSON object as text
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# Phase 3: Link tracking
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outgoing_links: Mapped[str] = mapped_column(Text, nullable=False, default="[]") # JSON array of document IDs
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backlinks_count: Mapped[int] = mapped_column(default=0, nullable=False) # Cached count of incoming links
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