26 lines
1.2 KiB
Python
26 lines
1.2 KiB
Python
"""飞书项目建议模型"""
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from __future__ import annotations
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from sqlalchemy import BigInteger, Float, ForeignKey, Integer, TEXT, VARCHAR
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from sqlalchemy.orm import Mapped, mapped_column
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from typing import Optional
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from .base import Base
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class ProjectSuggestion(Base):
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__tablename__ = "project_suggestions"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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feishu_item_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("feishu_items.id"), nullable=False, index=True
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)
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suggested_name: Mapped[Optional[str]] = mapped_column(VARCHAR(255), nullable=True)
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suggested_description: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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suggested_owner: Mapped[Optional[str]] = mapped_column(VARCHAR(120), nullable=True)
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suggested_timeline: Mapped[Optional[str]] = mapped_column(VARCHAR(120), nullable=True)
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confidence: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
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reasoning: Mapped[Optional[str]] = mapped_column(TEXT, nullable=True)
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status: Mapped[str] = mapped_column(VARCHAR(30), nullable=False, default="pending", index=True)
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created_project_id: Mapped[Optional[int]] = mapped_column(BigInteger, nullable=True, index=True)
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