Hermes CI Fix
9de6e522a4
- 数据层: product_sales表+导入脚本(93条, 酣客1-8月商品销售排行榜) - 后端: GET /api/cma/products/matrix?entity_id&months 横轴=销售趋势(线性回归), 纵轴=加权毛利率, 气泡=销售额 - 前端: ProductMatrix.vue ECharts散点图+象限卡片+明细表, 支持酣客/博海切换 - 验证: API四象限分类正确, 数据联动, 前端路由200, 全部通过
25 lines
1.2 KiB
Python
25 lines
1.2 KiB
Python
"""商品销售数据模型 — 波士顿产品矩阵
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从《商品销售排行榜》Excel导入，支撑四象限分析
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"""
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from sqlalchemy import Column, Integer, String, Float, DateTime, func
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from app.database import Base
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class ProductSales(Base):
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"""商品销售月度数据"""
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__tablename__ = "product_sales"
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id = Column(Integer, primary_key=True, index=True)
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entity_id = Column(Integer, default=1, comment="企业ID: 1=酣客 2=博海")
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product_code = Column(String(50), nullable=False, comment="商品编码")
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product_name = Column(String(100), nullable=False, comment="商品名称")
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period_month = Column(String(10), nullable=False, comment="期间 YYYY-MM")
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sales_amount = Column(Float, default=0, comment="销售金额")
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cost_amount = Column(Float, default=0, comment="成本金额")
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gross_profit = Column(Float, default=0, comment="毛利")
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gross_margin_rate = Column(Float, default=0, comment="毛利率(%)")
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sales_qty = Column(Integer, default=0, comment="销售数量")
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unit = Column(String(30), default="", comment="单位")
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created_at = Column(DateTime, server_default=func.now())
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updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now())
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