baseline: Clover 独立仓库首次基线提交

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>

backend/app/models/product.py

@@ -0,0 +1,110 @@
+"""
+app/models/product.py — products / benchmark_notes / banned_words
+Alembic 003 业务主体（1/3）
+products.category 是纯数据字段，禁止任何品类枚举（基石A）。
+"""
+
+from datetime import datetime
+from typing import Optional
+
+from sqlalchemy import (
+    BigInteger, DateTime, Enum, ForeignKey,
+    Index, Integer, String, Text, func,
+)
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from app.constants.enums import BannedWordLevel, ProductSource
+from app.core.database import Base
+
+
+class Product(Base):
+    """产品档案（卖点/违禁词/风格/调性/文案角度/可调prompt/source）"""
+    __tablename__ = "products"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
+    workspace_id: Mapped[int] = mapped_column(
+        BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
+    )
+    name: Mapped[str] = mapped_column(String(128), nullable=False)
+    # category 是纯数据字段，不在代码里做枚举（基石A）
+    category: Mapped[str | None] = mapped_column(String(64))
+    source: Mapped[str] = mapped_column(
+        Enum(ProductSource, values_callable=lambda x: [e.value for e in x]),
+        default=ProductSource.CUSTOM, nullable=False,
+    )
+    selling_points: Mapped[str | None] = mapped_column(Text)   # JSON数组
+    style_tone: Mapped[str | None] = mapped_column(String(128))
+    text_angles: Mapped[str | None] = mapped_column(Text)      # JSON数组，用户设定
+    custom_prompt: Mapped[str | None] = mapped_column(Text)    # 等北哥方案注入
+    image_path: Mapped[str | None] = mapped_column(String(512))  # 产品参考图路径（前端上传后写入）
+    # 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）
+    brand_keyword: Mapped[str | None] = mapped_column(String(64), comment="品牌词，客户录入，随产品固定")
+    # 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）
+    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")
+    is_active: Mapped[bool] = mapped_column(default=True, nullable=False)
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime, server_default=func.now(), nullable=False
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime, server_default=func.now(), onupdate=func.now(), nullable=False
+    )
+
+    benchmark_notes: Mapped[list["BenchmarkNote"]] = relationship(
+        back_populates="product", lazy="noload"
+    )
+
+    __table_args__ = (
+        Index("idx_products_workspace_id", "workspace_id"),
+    )
+
+
+class BenchmarkNote(Base):
+    """标杆笔记（截图+手填亮点为主通道）"""
+    __tablename__ = "benchmark_notes"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
+    workspace_id: Mapped[int] = mapped_column(
+        BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
+    )
+    product_id: Mapped[int] = mapped_column(
+        BigInteger, ForeignKey("products.id", ondelete="CASCADE"), nullable=False
+    )
+    screenshot_url: Mapped[str | None] = mapped_column(String(512))
+    highlights: Mapped[str | None] = mapped_column(Text)    # 手填亮点
+    link_url: Mapped[str | None] = mapped_column(String(512))
+    # 009: 第2环标杆分析字段
+    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")
+    analyze_status: Mapped[str] = mapped_column(String(20), default="pending", nullable=False, comment="AI分析状态: pending/analyzing/done/failed")
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime, server_default=func.now(), nullable=False
+    )
+
+    product: Mapped["Product"] = relationship(back_populates="benchmark_notes")
+
+    __table_args__ = (
+        Index("idx_benchmark_notes_product_id", "product_id"),
+    )
+
+
+class BannedWord(Base):
+    """违禁词库（三级：auto_fix/soft_warn/hard_block）"""
+    __tablename__ = "banned_words"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
+    workspace_id: Mapped[int] = mapped_column(
+        BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
+    )
+    word: Mapped[str] = mapped_column(String(64), nullable=False)
+    level: Mapped[str] = mapped_column(
+        Enum(BannedWordLevel, values_callable=lambda x: [e.value for e in x]),
+        nullable=False,
+    )
+    replacement: Mapped[str | None] = mapped_column(String(128))
+    updatable: Mapped[bool] = mapped_column(default=True, nullable=False)
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime, server_default=func.now(), nullable=False
+    )
+
+    __table_args__ = (
+        Index("idx_banned_words_workspace_id", "workspace_id"),
+    )