"""Knowledge base document model for RAG."""
from sqlalchemy import Column, String, Integer, Text, Boolean, ForeignKey
from app.models.base import Base, TimestampMixin, TenantMixin


class KnowledgeDoc(Base, TimestampMixin, TenantMixin):
    """A document in the project knowledge base for RAG retrieval."""
    __tablename__ = "knowledge_docs"

    id = Column(Integer, primary_key=True, autoincrement=True)
    project_id = Column(Integer, ForeignKey("projects.id"), nullable=True)  # null = tenant-level
    title = Column(String(500), nullable=False)
    content = Column(Text, default="")
    doc_type = Column(String(50), default="text")  # text, markdown, url, file
    source = Column(String(500), default="")
    tags = Column(String(500), default="")
    # Simple keyword index for MVP RAG (no vector DB needed)
    keywords = Column(Text, default="[]")  # JSON array of keywords
    is_indexed = Column(Boolean, default=True)