65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
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from __future__ import annotations
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import uuid
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from datetime import datetime
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from typing import Any
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from sqlalchemy import CheckConstraint, DateTime, Index, String, UniqueConstraint, func
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from sqlalchemy.orm import Mapped, mapped_column
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from sqlalchemy.types import JSON
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from app.db.base_class import Base
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class ApprovalActionLedger(Base):
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"""审批类写动作的持久化幂等账本。"""
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__tablename__ = "approval_action_ledgers"
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__table_args__ = (
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CheckConstraint(
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"action IN ('approve', 'return', 'pay')",
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name="ck_approval_action_ledger_action",
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),
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CheckConstraint(
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"(completed_at IS NULL AND result_status IS NULL "
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"AND result_approval_stage IS NULL) OR "
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"(completed_at IS NOT NULL AND result_status IS NOT NULL "
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"AND result_approval_stage IS NOT NULL)",
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name="ck_approval_action_ledger_completion",
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),
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UniqueConstraint(
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"tenant_id",
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"actor_id",
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"request_id",
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name="uq_approval_action_ledger_request",
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),
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Index(
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"ix_approval_action_ledger_claim_action",
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"tenant_id",
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"claim_id",
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"action",
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),
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)
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id: Mapped[str] = mapped_column(
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String(36),
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primary_key=True,
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default=lambda: str(uuid.uuid4()),
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)
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tenant_id: Mapped[str] = mapped_column(String(64), nullable=False)
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actor_id: Mapped[str] = mapped_column(String(120), nullable=False)
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request_id: Mapped[str] = mapped_column(String(120), nullable=False)
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claim_id: Mapped[str] = mapped_column(String(36), nullable=False)
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action: Mapped[str] = mapped_column(String(20), nullable=False)
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payload_fingerprint: Mapped[str] = mapped_column(String(80), nullable=False)
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expected_status: Mapped[str] = mapped_column(String(30), nullable=False)
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expected_approval_stage: Mapped[str] = mapped_column(String(50), nullable=False)
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result_status: Mapped[str | None] = mapped_column(String(30), nullable=True)
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result_approval_stage: Mapped[str | None] = mapped_column(String(50), nullable=True)
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response_json: Mapped[dict[str, Any] | None] = mapped_column(JSON, nullable=True)
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completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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server_default=func.now(),
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)
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