- New other_purchases table (date, total, notes) - /api/other CRUD endpoints - Budget stats now include other costs in cost/egg and cost/dozen math - Budget page: new Log Other Purchases form, stat cards for other costs, combined Purchase History table showing feed and other entries together Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
46 lines
2.2 KiB
Python
46 lines
2.2 KiB
Python
from datetime import date, datetime
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from sqlalchemy import Integer, Date, DateTime, Text, Numeric, func
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from sqlalchemy.orm import Mapped, mapped_column
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from database import Base
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class EggCollection(Base):
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__tablename__ = "egg_collections"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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date: Mapped[date] = mapped_column(Date, nullable=False, index=True)
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eggs: Mapped[int] = mapped_column(Integer, nullable=False)
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notes: Mapped[str] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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class FlockHistory(Base):
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__tablename__ = "flock_history"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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date: Mapped[date] = mapped_column(Date, nullable=False, index=True)
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chicken_count: Mapped[int] = mapped_column(Integer, nullable=False)
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notes: Mapped[str] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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class FeedPurchase(Base):
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__tablename__ = "feed_purchases"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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date: Mapped[date] = mapped_column(Date, nullable=False, index=True)
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bags: Mapped[float] = mapped_column(Numeric(5, 2), nullable=False)
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price_per_bag: Mapped[float] = mapped_column(Numeric(10, 2), nullable=False)
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notes: Mapped[str] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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class OtherPurchase(Base):
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__tablename__ = "other_purchases"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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date: Mapped[date] = mapped_column(Date, nullable=False, index=True)
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total: Mapped[float] = mapped_column(Numeric(10, 2), nullable=False)
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notes: Mapped[str] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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