Agent Zero
727d86614e
P0 (7): Auth-bypass removed, migrations fixed, plugin-upload disabled, RLS FORCE+WITH CHECK, plugin double-registration fixed, persistent volume, domain removed P1 (11): User/tenant model, Redis centralized, worker separated, transactional outbox, XSS fixed, DMS chunked streaming, permissions unified, password reset, metrics secured, config/docs fixed, cross-tenant FK P2 (4): Contact model normalized, cross-imports reduced 94%, commands+state machines for contacts/dms/mail/calendar, SPA path-traversal 8 new migrations, 99 unit tests, 13 commands, 8 contracts, 72 files changed
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
"""SQLAlchemy model for the transactional event outbox table."""
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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 sqlalchemy import DateTime, Integer, String, func
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.dialects.postgresql import UUID as PGUUID
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.db import Base
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class EventOutbox(Base):
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"""Row in the ``event_outbox`` table.
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Each row represents a domain event that was written within a business
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transaction and is waiting to be published to the in-process event bus
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by the outbox worker.
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"""
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__tablename__ = "event_outbox"
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id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True),
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primary_key=True,
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server_default=func.gen_random_uuid(),
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)
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tenant_id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True), nullable=False, index=True,
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)
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event_name: Mapped[str] = mapped_column(String(255), nullable=False)
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payload: Mapped[dict] = mapped_column(JSONB, nullable=False)
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status: Mapped[str] = mapped_column(
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String(20), nullable=False, server_default="pending",
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)
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attempts: Mapped[int] = mapped_column(
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Integer, nullable=False, server_default="0",
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)
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max_attempts: Mapped[int] = mapped_column(
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Integer, nullable=False, server_default="5",
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)
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next_retry_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True,
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)
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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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updated_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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published_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True,
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)
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