36 lines
1.8 KiB
Python
36 lines
1.8 KiB
Python
"""ORM model for AI writing research templates (课题研究模板).
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A research template bundles a set of writing-form presets — article type,
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outline, material source, word count, audience, strict mode and a topic/intent —
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so a user can one-click pre-fill the whole 课题研究 form. Maintained from the
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research-template config page (需求 0616 #5).
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"""
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from __future__ import annotations
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from datetime import UTC, datetime
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from sqlalchemy import Boolean, DateTime, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from deerflow.persistence.base import Base
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class ResearchTemplateRow(Base):
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__tablename__ = "ai_writing_research_templates"
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id: Mapped[str] = mapped_column(String(64), primary_key=True)
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name: Mapped[str] = mapped_column(String(128), nullable=False)
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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# 预设字段（点击模板时回填表单）。
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article_type_key: Mapped[str | None] = mapped_column(String(64), nullable=True)
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outline: Mapped[str | None] = mapped_column(Text, nullable=True)
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material_source: Mapped[str] = mapped_column(String(32), nullable=False, default="general")
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word_count: Mapped[int] = mapped_column(Integer, nullable=False, default=800)
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audience: Mapped[str | None] = mapped_column(String(128), nullable=True)
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strict_mode: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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topic: Mapped[str | None] = mapped_column(Text, nullable=True)
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sort_order: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
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updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(UTC))
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