96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Literal, Optional
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from sqlalchemy import (
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JSON,
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Boolean,
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DateTime,
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Enum,
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ForeignKey,
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Index,
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Numeric,
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func,
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)
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from sqlalchemy.orm import Mapped, mapped_column
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from app.db.base import Base
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ContentStage = Literal["general", "expecting", "parenting", "unknown"]
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class ContentProfile(Base):
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"""
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内容画像表（Content Profile / Cᵢ）。
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字段语义必须严格对齐：
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- `设计说明文档/句子文案打分規則.md`
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"""
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__tablename__ = "content_profiles"
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__table_args__ = (
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Index("idx_profiles_stage", "stage"),
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Index("idx_profiles_personalization_power", "personalization_power"),
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Index("idx_profiles_is_safe_pool", "is_safe_pool"),
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)
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content_id: Mapped[int] = mapped_column(
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ForeignKey("contents.content_id", ondelete="CASCADE"),
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primary_key=True,
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comment="FK -> contents.content_id",
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)
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stage: Mapped[ContentStage] = mapped_column(
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Enum("general", "expecting", "parenting", "unknown", name="content_stage"),
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nullable=False,
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server_default="general",
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comment="母职阶段定位（general/expecting/parenting/unknown）",
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)
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emotion_score: Mapped[Optional[float]] = mapped_column(
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Numeric(3, 2),
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nullable=True,
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comment="情绪调性 0~1；NULL 表示 general",
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)
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context_suitability_json: Mapped[dict] = mapped_column(
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JSON,
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nullable=False,
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comment="各 context 的适配度（JSON：0/0.5/1；必须包含 5 个 key）",
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)
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need_suitability_json: Mapped[dict] = mapped_column(
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JSON,
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nullable=False,
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comment="各 need 的适配度（JSON：0/0.5/1；必须包含 5 个 key）",
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)
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personalization_power: Mapped[int] = mapped_column(
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nullable=False,
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server_default="0",
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comment="个性化力度（约定只允许 0/5/10，分别映射 0/0.5/1）",
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)
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review_confidence: Mapped[Optional[float]] = mapped_column(
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Numeric(3, 2),
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nullable=True,
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comment="标注置信度 0~1；NULL 表示由推荐侧按 0.7 兜底",
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)
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is_safe_pool: Mapped[bool] = mapped_column(
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Boolean,
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nullable=False,
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server_default="0",
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comment="是否属于通用安全池（L3 兜底）",
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime,
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nullable=False,
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server_default=func.now(),
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server_onupdate=func.now(),
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comment="画像更新时间",
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)
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