Phase 1-3 of decoupling plan: - Shared DB, models, infrastructure, browser, config, utils - Event infrastructure (domain_events outbox, bus, processor) - Structured logging - Generic container concept (container_type/container_id) - Alembic migrations for all schema changes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
1.4 KiB
Python
31 lines
1.4 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import String, Integer, DateTime, Text, func
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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from shared.db.base import Base
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class DomainEvent(Base):
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__tablename__ = "domain_events"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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event_type: Mapped[str] = mapped_column(String(128), nullable=False, index=True)
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aggregate_type: Mapped[str] = mapped_column(String(64), nullable=False)
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aggregate_id: Mapped[int] = mapped_column(Integer, nullable=False)
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payload: Mapped[dict | None] = mapped_column(JSONB, nullable=True)
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state: Mapped[str] = mapped_column(
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String(20), nullable=False, default="pending", server_default="pending", index=True
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)
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attempts: Mapped[int] = mapped_column(Integer, nullable=False, default=0, server_default="0")
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max_attempts: Mapped[int] = mapped_column(Integer, nullable=False, default=5, server_default="5")
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last_error: Mapped[str | None] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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processed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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def __repr__(self) -> str:
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return f"<DomainEvent {self.id} {self.event_type} [{self.state}]>"
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