56 lines
2.6 KiB
Python
56 lines
2.6 KiB
Python
"""银行交易流水模型。"""
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from datetime import datetime, timezone
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from sqlalchemy import Boolean, DateTime, Index, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base
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class BankTransaction(Base):
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__tablename__ = "bank_transactions"
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id: Mapped[str] = mapped_column(String(32), primary_key=True)
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# 账户信息
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account_id: Mapped[str] = mapped_column(String(32), index=True, nullable=False, comment="银行账户ID")
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account_no: Mapped[str] = mapped_column(String(64), index=True, nullable=False, comment="银行账号")
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# 记录创建时间
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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nullable=False,
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comment="记录创建时间",
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)
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# 交易信息
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transaction_no: Mapped[str | None] = mapped_column(String(128), unique=True, nullable=True, comment="交易流水号(唯一)")
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transaction_time: Mapped[DateTime | None] = mapped_column(DateTime(timezone=True), index=True, nullable=True, comment="交易时间")
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transaction_amount: Mapped[str] = mapped_column(String(32), nullable=False, comment="交易金额(字符串保持精度)")
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balance_direction: Mapped[str | None] = mapped_column(String(8), nullable=True, comment="借贷方向: DR-借/出金, CR-贷/入金")
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balance_after: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="交易后余额")
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# 对方信息
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counterparty_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="对方户名")
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counterparty_account: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="对方账号")
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counterparty_bank: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="对方开户行")
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# 交易摘要
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remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="摘要/备注")
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digest_code: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="摘要码")
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purpose: Mapped[str | None] = mapped_column(String(256), nullable=True, comment="用途")
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# 原始数据
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raw_data: Mapped[str | None] = mapped_column(Text, nullable=True, comment="接口返回原始JSON")
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# 同步信息
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sync_batch: Mapped[str | None] = mapped_column(String(32), index=True, nullable=True, comment="同步批次号")
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is_synced: Mapped[bool] = mapped_column(Boolean, default=True, comment="是否同步成功")
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__table_args__ = (
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Index("ix_bank_transactions_account_time", "account_no", "transaction_time"),
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Index("ix_bank_transactions_sync_batch", "sync_batch"),
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)
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