6a2632da70
将 Clover 从上层产品包旧仓库中独立出来,建立专属版本控制。 当前状态=纵切片端到端已打通(登录→选品→出文出图→审核→下载包), M1文案质量去套路化已验收。此提交作为后续按核销清单逐条修复的基线。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
111 lines
4.8 KiB
Python
111 lines
4.8 KiB
Python
"""
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app/models/product.py — products / benchmark_notes / banned_words
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Alembic 003 业务主体（1/3）
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products.category 是纯数据字段，禁止任何品类枚举（基石A）。
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"""
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import (
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BigInteger, DateTime, Enum, ForeignKey,
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Index, Integer, String, Text, func,
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)
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.constants.enums import BannedWordLevel, ProductSource
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from app.core.database import Base
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class Product(Base):
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"""产品档案（卖点/违禁词/风格/调性/文案角度/可调prompt/source）"""
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__tablename__ = "products"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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workspace_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
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)
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name: Mapped[str] = mapped_column(String(128), nullable=False)
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# category 是纯数据字段，不在代码里做枚举（基石A）
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category: Mapped[str | None] = mapped_column(String(64))
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source: Mapped[str] = mapped_column(
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Enum(ProductSource, values_callable=lambda x: [e.value for e in x]),
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default=ProductSource.CUSTOM, nullable=False,
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)
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selling_points: Mapped[str | None] = mapped_column(Text) # JSON数组
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style_tone: Mapped[str | None] = mapped_column(String(128))
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text_angles: Mapped[str | None] = mapped_column(Text) # JSON数组，用户设定
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custom_prompt: Mapped[str | None] = mapped_column(Text) # 等北哥方案注入
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image_path: Mapped[str | None] = mapped_column(String(512)) # 产品参考图路径（前端上传后写入）
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# 008: 品牌词（客户输入，植入文案每条+生图特写图第2/6张，第5环）
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brand_keyword: Mapped[str | None] = mapped_column(String(64), comment="品牌词，客户录入，随产品固定")
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# 012: 目标人群（客户输入，透传进文案/生图 prompt，storyboard.py:52 原恒空现可填）
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target_audience: Mapped[str | None] = mapped_column(String(128), comment="目标人群，客户输入，透传进文案/生图prompt")
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is_active: Mapped[bool] = mapped_column(default=True, nullable=False)
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created_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=func.now(), nullable=False
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=func.now(), onupdate=func.now(), nullable=False
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)
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benchmark_notes: Mapped[list["BenchmarkNote"]] = relationship(
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back_populates="product", lazy="noload"
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)
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__table_args__ = (
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Index("idx_products_workspace_id", "workspace_id"),
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)
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class BenchmarkNote(Base):
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"""标杆笔记（截图+手填亮点为主通道）"""
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__tablename__ = "benchmark_notes"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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workspace_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
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)
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product_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("products.id", ondelete="CASCADE"), nullable=False
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)
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screenshot_url: Mapped[str | None] = mapped_column(String(512))
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highlights: Mapped[str | None] = mapped_column(Text) # 手填亮点
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link_url: Mapped[str | None] = mapped_column(String(512))
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# 009: 第2环标杆分析字段
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features_json: Mapped[str | None] = mapped_column(Text, comment="爆款8特征分析结果（JSON），AI解析后写入")
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analyze_status: Mapped[str] = mapped_column(String(20), default="pending", nullable=False, comment="AI分析状态: pending/analyzing/done/failed")
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created_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=func.now(), nullable=False
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)
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product: Mapped["Product"] = relationship(back_populates="benchmark_notes")
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__table_args__ = (
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Index("idx_benchmark_notes_product_id", "product_id"),
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)
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class BannedWord(Base):
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"""违禁词库（三级：auto_fix/soft_warn/hard_block）"""
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__tablename__ = "banned_words"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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workspace_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
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)
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word: Mapped[str] = mapped_column(String(64), nullable=False)
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level: Mapped[str] = mapped_column(
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Enum(BannedWordLevel, values_callable=lambda x: [e.value for e in x]),
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nullable=False,
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)
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replacement: Mapped[str | None] = mapped_column(String(128))
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updatable: Mapped[bool] = mapped_column(default=True, nullable=False)
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created_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=func.now(), nullable=False
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)
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__table_args__ = (
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Index("idx_banned_words_workspace_id", "workspace_id"),
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)
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